<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="NPL-CBS-CME-2011-v2" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          NPL-CBS-CME-2011-12-v01
        </titl>
        <IDNo>
          DDI-NPL-CBS-CME-2011-v01
        </IDNo>
      </titlStmt>
      <rspStmt>
        <othId role="Documentation of the study" affiliation="Central Bureau of Statistics, Nepal">
          <p>
            Suresh Prasad Kayastha
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="CBS" affiliation="National Planning Commission Secretariat, Government of Nepal">
          Central Bureau of Statistics
        </producer>
        <prodDate date="2014-06-01">
          2014-06-01
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          Version 01 (August 2015): original study of documentation.
        </version>
      </verStmt>
      <holdings URI="www.cbs.gov.np/nada"/>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          National Census of Manufacturing Establishments 2011-2012
        </titl>
        <subTitl>
          Tenth Round (Quinquinnial Census)
        </subTitl>
        <altTitl>
          NCME 2011-2012
        </altTitl>
        <parTitl>
          Rastriya Audhyogik Ganana 2069
        </parTitl>
        <IDNo>
          NPL-CBS-CME-2011-v2
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="National Planning Commission Secretariat, Government of Nepal">
          Central Bureau of Statistics
        </AuthEnty>
        <othId role="Facilitator" affiliation="Private Sector of Nepal">
          <p>
            Federation of Nepalese Chambers of Commerce and Industry (FNCCI)
          </p>
        </othId>
        <othId role="Facilitator" affiliation="Private Sector of Nepal">
          <p>
            Confederation of Nepalese Industries (CNI)
          </p>
        </othId>
        <othId role="Questionnaire and manual preparation" affiliation="Government of Nepal">
          <p>
            Ministry of Industry
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <copyright>
          (c) 2014, Central Bureau of Statistics, Government of Nepal
        </copyright>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
        <fundAg abbr="GoN">
          Government of Nepal
        </fundAg>
      </prodStmt>
      <distStmt>
        <contact affiliation="Central Bureau of Statistics" URI="www.cbs.gov.np" email="dg@cbs.gov.np">
          Director of Publication, Dissiminaiton and Library Section
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Enterprise Census [en/census]
        </serName>
        <serInfo>
          National Census of Manufacturing 2011-2012, is the 10th series. It's quinnial census and started from ...
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2014-06-01">
          v2: Edited data, final version for public use.
        </version>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <topcClas vocab="World Bank">
          Trade
        </topcClas>
        <topcClas vocab="World Bank">
          Environmental Health/ Pollution Management
        </topcClas>
        <topcClas vocab="World Bank">
          Solid Waste Management
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[The National Census of Manufacturing Establishments (NCME) is a regular periodic statistical operation to collect, manage and disseminate data on the manufacturing sector of Nepal. The NCME has been carried out by Central Bureau of Statistics (CBS) in every five years. CBS is the main responsible organization of the government for collection, management and dissemination of statistical information in the country. Particularly, the NCME is carried out by the establishment census and survey section of CBS. The census covers all manufacturing establishments located within the geographic boundary of Nepal engaging 10 or more persons. 

Following the international practices, the establishments enumerated are classified according to the Nepal Standard Industrial Classification (NSIC). The reference period of the census was the fiscal year 2068/2069 B.S.(2011/2012). Particularly, it is mid July 2011 to mid July 2012. The actual enumeration work of the census was carried out during the period from January 2013 to July 2013.]]>
      </abstract>
      <sumDscr>
        <collDate date="2013-01-01" event="start"/>
        <collDate date="2013-07-01" event="end"/>
        <nation abbr="NPL">
          Nepal
        </nation>
        <geogCover>
          National, Rural,Urban, District.
        </geogCover>
        <anlyUnit>
          Manufacturing establishments engaging 10 or more persons
        </anlyUnit>
        <universe>
          The census covers all operated manufacturing establishments (categorized as Manufacturing sector in ISIC Rev. 4) having 10 or more persons engaged during the reference period (ie mid July 2011 to mid July 2012).
        </universe>
        <dataKind>
          Census/enumeration data [cen]
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[Manufacturing Establishments (Section C category of ISIC Rev. 4) : Introduction of manufacturing establishment, Legal status, Type of ownership, Major manufacturing activities and products, Employment particulars,   Purchase of fuel, water and electricity, Receipts from sale and cost of industrial services, Cost of raw materials purchased, Details of production and sale of goods, Value of stock (inventories), Cost of non-industrial service purchased, Tax, Receipts from non-industrial service, Details of fixed assets, Capacity utilization, Investment and cost of environment protection, Problems faced by manufacturing establishment]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="SO" affiliation="Central Bureau of Statistics">
          Statistical Office
        </dataCollector>
        <dataCollector abbr="CBS" affiliation="National Planning Commission Secretariat">
          Central Bureau of Statistics
        </dataCollector>
        <sampProc>
          It is complete enumeration of Manufacturing Establishments categorized as Manufacturing Sector of ISIC Revision 4, having 10 or more persons engaged during the reference period (ie mid July 2011 to mid July 2012).
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          <![CDATA[The questionnaire for the CME is a structured questionnaire based on the International recommendation and guidelines for industrial statisics prepared by UNIDO. It contains 17 sections as stated below:

1.   Introduction of manufacturing establishment
2.   Legal status
3.   Type of ownership
4.   Major manufacturing activities and products
5.   Employment particulars
6.   Purchase of fuel, water and electricity
7.   Receipts from sale and cost of industrial services
8.   Cost of raw materials purchased
9.   Details of production and sale of goods
10. Value of stock (inventories)
11. Cost of non-industrial service purchased
12. Tax
13. Receipts from non-industrial service
14. Details of fixed assets
15. Capacity utilization
16. Investment and cost of environment protection
17. Problems faced by manufacturing establishments]]>
        </resInstru>
        <sources/>
        <collSitu>
          The listing of the manufacturing establishments was done from August 15, 2012 to December 15, 2012 in all districts.
        </collSitu>
        <actMin>
          Interviews were conducted by trained enumerators of 33 Statistics Offices (SOs). The supervision was done jointly by Statistics Officers of SOs and officials of the Establishment Census and Survey Section (ECSS) of CBS. The role of the SO officer was to coordinate field data collection activities in their respective districts. The role of the chief of the ECSS of CBS was to manage and coordinate SO's work, including supplies and equipment, finances.
        </actMin>
        <cleanOps>
          <![CDATA[A Control form was introduced to find out the profit or loss and value added of each establishment. This form was filled by the supervisor of the Statistical Office (SO) immediately after completing the interview of the establishment. If any inconsistencies were found during this phase, enumerators have to re-visit the establishment for verification. 

Coding was done in ECSS of CBS. NSIC and CPC coding schemes were used. Altogether, 2 Statistical officer, 1 Computer Officer and 2 Statistical Assistants were involved in the coding and checking of the price of each fuel, raw material and product under the direct supervision of Director of the Establishment Census and Suvey Section.

During Data entry, many range checks were introduced to minimize range errors. Some cross checks were used to control errors relating to the universe and pre-question of the entry variable during data entry. One big batch edit file with many edit commands were run and verify the observed missing or overvalued or undervalued data mostly by contacting the respondent of the establishment by telephone.


After entering and editing data in CSPro data entry application, frequencies and percentage distribution of the principal indicators like total number of establishment, total number of persons engaged, total number of employees, value of input, value of output, value added by NSIC, ecological belts, development regions, districts were tabulated and compared with that of previous census. Further,average output, value added, number of persons engaged, number of employees and fixed asset per establishment a was calculated to discuss final report of the census in the technical committee. The final results were published after the approval the committee.]]>
        </cleanOps>
      </dataColl>
      <notes>
        During data entry in CSPro application, necessary checks and controls was administered for each section. Data were processed by NSIC and establishments separately. Several copies of simplified correspondence tables of NSIC Rev. 4 and CPC 2.0 were prepared and used by every data editor, supervisor of the editors and data entry operators. Six (6) computers were used for data entry which was done at CBS. SPSS Version 19 was used to compile and analyze the data.
      </notes>
      <anlyInfo>
        <dataAppr>
          <![CDATA[CME 2011-12 data appraisal may be categorized by 3 stages: Listing, data collection, data entry and processing. A technical committee headed by the Director General of CBS was formed to supervise, suggest, control and review the overall process of the census from questionnaire design to data dissemination.

A control form was used to verify establishment lebel input-output ratio as well as  profit or loss status of the establishment at data collection stage. The data collection work was done only by the staff of CBS and its field offices. They were trained by the census officials of CBS worked in the head office. Statistical officers of branch offices were considered as supervisor of the census. 

To establish consistency between the CPC of data recorded in section 7, 8 of the questionnaire  and NSIC of section 3, grouping of raw materials and products was made by CPC to make one to one  correspondence  with NSIC.]]>
        </dataAppr>
      </anlyInfo>
    </method>
    <dataAccs>
      <useStmt>
        <confDec required="yes">
          <![CDATA[Confidentiality of the respondents is guaranteed by article 8 of Statistics Act 1958.

Restriction on publication of information and details

Any information or details relating to any person, family, firm or company, which have been supplied, obtained or prepared pursuant to Section 3 or Section 4 or Section 5 or Section 6 or Section 7 or any part of such information or details, shall not be disclosed or published directly except to the Director General or to any other officer of the Bureau without the written permission of the person or of his or her authorized representative supplying such information or details.]]>
        </confDec>
        <contact affiliation="Central Bureau of Statistics" URI="www.cbs.gov.np" email="dg@cbs.gov.np">
          Director General
        </contact>
        <citReq>
          <![CDATA[Central Bureau of Statistics (CBS), Nepal.  National Census of Manufacturing Establishments 2011-2012 (CME 2011-2012). Dataset downloaded from National Data Archive (NADA): http://cbs.gov.np/nada/index.php/catalog on [date].]]>
        </citReq>
        <conditions>
          <![CDATA[The dataset has been anonymized and is available as a Public Use Dataset from CBS premises. It is accessible to all users for statistical and research purposes only, under the following terms and conditions:

1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the Central Bureau of Statistics.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. 
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the CBS. 
4. No attempt will be made to produce links among datasets provided by the CBS or among data from the CBS and other datasets that could identify individuals or organizations. 
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the CBS will cite the source of data in accordance with the Citation Requirement provided with each dataset. 
6. An electronic copy of all reports and publications based on the requested data will be sent to the CBS.]]>
        </conditions>
        <disclaimer>
          The Central Bureau of Statistics, Nepal bears no responsibility for any outcomes or for interpretations or inferences arising from the use of the dataset, or use of the information provided on the study.
        </disclaimer>
      </useStmt>
    </dataAccs>
  </stdyDscr>
  <fileDscr ID="F1" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=0&amp;Name=Identification of the Establishment">
    <fileTxt>
      <fileName>
        Identification of the Establishment.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[This file contains data related to sections 1, 3 to 17 of the questionnaire. The first section is about introduction of the establishment, legal status, ownership, intellectual property and standardization logo of the establishment. The major industrial activity codes are recorded in section 4 following NSIC.

Section 14 captures information about the production capacity utilization. The production capacity utilization of establishment is categorized into 5 groups. Section 15 covers the cost of  installation of equipments for controlling pollution including recycling expenses. The major factors affecting the manufacturing estalishment is capture under Section 16. is about problem faced by the establishment during the reference period. This is a precoded question with multiple choices.]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          15
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        <![CDATA[In this file, a unique identification number was given for each manufacturing establishment enumerated. District and VDC/Municipality codes were used for corresponding establishments.
 
Data entry program was consturcted in CSPro 5.0 application and many logical checks were introduced to control inconsistencies and errors.

Out of Range were check for Legal Status, Ownership, Intellectual property and standardization logo.

In Section 3, NSIC Version 4.0 coding scheme was used to code for each establishment according to their main major activity. The NSIC code of the establishment and corresponding CPC codes were checked at the time of data entry as well as after the data entry.]]>
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F2" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=1&amp;Name=Local Employment">
    <fileTxt>
      <fileName>
        Local Employment.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[It contains the information regarding number of male and female employee, wage/labour (in thousand rupees) and amount of facility received by the local ie nepali employee.
Persons engaged are classified into the following groups:

1.	Working proprietors and Partners	
2.	Unpaid family and other workers	
3.	Working directors	
4.	Administrative employees	
5.	Technical employees	
6.	Operatives (production) workers	
7.	Casual/seasonal employees]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          9
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        <![CDATA[Logical consistencies (e.g.  out of range and total of salary and facilities of the employee) are done.]]>
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F3" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=2&amp;Name=Foreign Employment">
    <fileTxt>
      <fileName>
        Foreign Employment.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[It contains the information regarding number of male and female employee, wage/labour (in thousand rupees) and amount of facility received by the local ie foreign employee.
Persons engaged are classified into the following groups:

1.	Working proprietors and Partners	
2.	Unpaid family and other workers	
3.	Working directors	
4.	Administrative employees	
5.	Technical employees	
6.	Operatives (production) workers	
7.	Casual/seasonal employees]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          9
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        <![CDATA[Logical consistencies (e.g.  out of range and total of salary and facilities of the employee) are done.]]>
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F4" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=3&amp;Name=Fuel purchased">
    <fileTxt>
      <fileName>
        Fuel purchased.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[The file contains data related to section 5.1 of the questionnaire.  It contains the information regarding the total annual fuel purchased quantity as well as in the total cost (in thousand rupees). The amount of Fuelwood and Charcoal/coalis; Disel, petrol and Kerosene;  Liquefied Petroleum Gas (LPG) is in thousand rupees per quintal, thousand per litre and thousands per Kg respectively.

The variable "FUEL_ID" is categorized into the following mentioned 8 types of fuel.

1.	Firewood	
2.	Charcoal/coal	
3.	Diseal oil	
4.	Petrol	
5.	Kerosene	
6.	Liquified gas (L.P.G.)	
7.	Electricity purchased	
8.	Other fuel purchased]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          5
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        <![CDATA[Data entry program was constructed in CSPro 5.0 application and logical checks were introduced to control consistencies and errors, e.g. coding checks, out of range, totals, etc.

Out of range of the value of the price of the each item were checked during data entry.]]>
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F5" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=4&amp;Name=Water produced, purchased and electricity produced, sold">
    <fileTxt>
      <fileName>
        Water produced, purchased and electricity produced, sold.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[The file contains data related to section 5.2 of the questionnaire. The variable "WATER_ELEC_ID" is categorized into the following category: 

1.	Water purchase	
2.	Water produced/pumped up/collectted/drawn in (for own purpose)	
3.	Electricity purchased (for own purpose)	
4.	Electricity generated]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          5
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        <![CDATA[Data entry program was constructed in CSPro 5.0 application and logical checks were introduced to control consistencies and errors, e.g. coding checks, out of range, totals, etc.

At the time of editing the data, annual quantity and annual price amount of water purchase was done.]]>
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F6" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=5&amp;Name=Expenditure on industrial services">
    <fileTxt>
      <fileName>
        Expenditure on industrial services.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[This file contains data related to sub-section 6.1 of the questionnaire. The topic of the section is 'Expenditure on industrial services'. Industrial services are classified into 3 subgroups as follows:

1.	Payments made to other firms or individuals for work performed on sub-contract or other conditions	
2.	Payments made for repair and maintenance work	
3.	Payments made for resale (traded goods i.e. goods sold in the same condition as purchased)	


The file contains a variable named "EIS_ID" which constitutes the classification of industrial services.]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          4
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        Data entry program was constructed in CSPro 5.0 application and logical checks were introduced to control consistencies and errors, e.g. coding checks, out of range, totals, etc.
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F7" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=6&amp;Name=Income from industrial services">
    <fileTxt>
      <fileName>
        Income from industrial services.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[This file contains data related to sub-section 6.2 of the questionnaire. The topic of the section is 'Income from industrial services'. Industrial services are classified into 3 subgroups as follows:

1.	Receipts for contract work down (on goods not owned by the company) 
2.	Receipts for repair and maintenance work done	
3.	Receipts from sale of traded goods (i.e.purchased in the same condition as sold)	


The file contains a variable named 'IIS_ID' which constitutes the classification of industrial services.]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          4
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        Data entry program was constructed in CSPro 5.0 application and logical checks were introduced to control consistencies and errors, e.g. coding checks, out of range, totals, etc.
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F8" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=7&amp;Name=Purchase of Raw materials">
    <fileTxt>
      <fileName>
        Purchase of Raw materials.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[This file contains data related to section 7 of the questionnaire. The topic of the section is 'Purchase of Raw material'. 

All the raw material purchased by each establishment are recorded in the variable 'RAW_ID' and CPC 2.0 coding scheme for raw material.

The Quantity and amount of raw material purchased is classified into 2 categories i.e. 'Within Nepal' and 'Out of the country purchase'.]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          11
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        <![CDATA[Data entry program was constructed in CSPro 5.0 application and logical checks were introduced to control consistencies and errors.

CPC 2.0 coding scheme was used to code for each raw material. Upper and Lower limits of price rate were checked to control price inconsistencies in the application.]]>
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F9" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=8&amp;Name=Production and sale of products">
    <fileTxt>
      <fileName>
        Production and sale of products.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[This file contains data related to the section 8 of the questionnaire. It has data about production and sales of each product for each establishment.

All the production and sale of products by each establishment are recorded in the variable 'PROD_ID' and CPC 2.0 coding scheme for production.

The Sale of Quantity and amount of products is classified into 2 categories i.e. 'Within Nepal' and 'Out of the country purchase'.]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          10
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        Data entry program was constructed in CSPro 5.0 application and logical checks were introduced to control consistencies and errors, e.g. coding checks, out of range, totals, etc.
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F10" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=9&amp;Name=Expense on non-industrial services">
    <fileTxt>
      <fileName>
        Expense on non-industrial services.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[This file contains data related to section 10 of the questionnaire. This file provides the non-industrial expenses of the establishment. 
Non-industrial expenses are recorded within the variable named "ENIS_ID"' in 14 categories defined as below :

1.	Rental of Land	
2.	Rental of warehouses, industrial space and machinery	
3.	Rental or lease of machinery and equipment	
4.	Other rent	
5.	Payment of travelling costs for products	
6.	Payment of Insurance Premiums	
7.	Payment of Communication charges (postage, couriers, telephone, fax, email, internet etc.)	
8.	Payments made for printing and stationery	
9.	Payments for auditing ad accountants' fees	
10.	Payments for other professional services	
11.	Payments made for advertising and promotion (excluding printing)	
12.	Payment of royalties, copyrights, patents, etc.	
13.	Payments for education and training	
14.	Other payments]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          4
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        Data entry program was constructed in CSPro 5.0 application and logical checks were introduced to control consistencies and errors, e.g. coding checks, out of range, totals, etc.
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F11" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=10&amp;Name=Stock">
    <fileTxt>
      <fileName>
        Stock.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[It is related with section 9 of the questionnaire and provides the stock information for each establishment. The Stock iis classified in 7 category as below.  

1.	Raw materials	
2.	Fuels	
3.	Semi-finished goods	
4.	Finished goods	
5.	Goods purchased for resale	
6.	Capital manufacturing work in progress	
7.	Any other stocks]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          5
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        <![CDATA[Data entry program was constructed in CSPro 5.0 application and logical checks were introduced to control consistencies and errors.

'Control Form' was administrated to see the effect of stock value in the value added for each establishment.]]>
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F12" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=11&amp;Name=Receipt from non-industrial services">
    <fileTxt>
      <fileName>
        Receipt from non-industrial services.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[It is related with section 11 of the questionnaire and provides the receipt information from non-industrial services for each establishment. it captures following 10 categories.

1.	Receive from Rent (Land)	
2.	Received from Rent (House, Warehouse and Mechinary)	
3.	Receive from Rent (Transportation Equipment)	
4.	Received from Rent (Other)	
5.	Received from Agency Commission	
6.	Received from Government Export Grant	
7.	Receive from Contract and Commission	
8.	Receive from Import Discount	
9.	Receive from Economic Grant	
10.	Receive from Others]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          4
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        Data entry program was constructed in CSPro 5.0 application and logical checks were introduced to control consistencies and errors, e.g. coding checks, out of range, totals, etc.
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F13" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=12&amp;Name=Indirect tax">
    <fileTxt>
      <fileName>
        Indirect tax.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[This file contains data related to the section 12 of the questionnaire. The topic of the section is 'Indirect Taxes'. The variable named 'TAX_ID' categorizes indirect taxes into five groups given below:

1.	Value Added Tax (VAT)	
2.	Sales/Excise Duty	
3.	Export Duty	
4.	Import Duty	
5.	Other Indirect Tax]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          5
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        <![CDATA[Data entry program was consturcted in CSPro 5.0 application and logical checks were intorduced to maintain consistencies and controal errors.

In accordance with the Value Added Tax Act, Excise Duty Act and Economic Act of the reference year, the recorded tax amount for each establishment is validated with their raw material purchased and product sold amount.]]>
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F14" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=13&amp;Name=Description of Fixed assets">
    <fileTxt>
      <fileName>
        Description of Fixed assets.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[The file contains Section 13 of the questionnaire. It has classified fixed assets into the following 11 groups:

1.	Land	
2.	Building & other construction	
3.	Machin & other equipment	
4.	Computer & related machinery	
5.	Transportation equipment	
6.	Furniture	
7.	Research & development	
8.	Mining and evaluation	
9.	Software & database	
10.	Trademark, Patent & Design	
11.	Other]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          11
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        Data entry program was constructed in CSPro 5.0 application and logical checks were introduced to control consistencies and errors, e.g. coding checks, out of range, totals, etc.
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F15" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=14&amp;Name=Utilization of Production capacity">
    <fileTxt>
      <fileName>
        Utilization of Production capacity.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[it contain the information regarding the utilization of production capacity of the establishment such as total days, hours, shifts that  the establishment run, percent utilized out of the total capacity of the establishment, fulfill the demand of the market, the reasons if the establishment could not fulfill the market demand. The reasons for not fulfilling the market demand is post-coded due to the open ended questionnaire.]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          8
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        Data entry program was constructed in CSPro 5.0 application and logical checks were introduced to control consistencies and errors, e.g. coding checks, out of range etc.
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F16" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=15&amp;Name=Description on Environment">
    <fileTxt>
      <fileName>
        Description on Environment.NSDstat
      </fileName>
      <fileCont>
        It contains information environment sector such as whether the establishment have pollution control machine, cost of environment protection, cost for reuse or recycle the metal or non-metal scraps, cost of recycling and whether the establishment have received pollution control certificate.
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          7
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        Range checks, Consistency checks between the environment variables are done.
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F17" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=16&amp;Name=Environment pollution control equipment">
    <fileTxt>
      <fileName>
        Environment pollution control equipment.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[It is related with section 15.2 of the questionnaire and has the following 6 pollution control category.

1.	Gas and smell controller	
2.	Smoke, and dust controller	
3.	Sound controller	
4.	Radiation controller	
5.	Pond for polluted water	
6.	Solid waste management]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          5
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <dataChck>
        Data entry program was constructed in CSPro 5.0 application and logical checks were introduced to control consistencies and errors.
      </dataChck>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F18" URI="NPL-CBS-CME-2011-v2.Nesstar?Index=17&amp;Name=Major factors affecting the Establishment">
    <fileTxt>
      <fileName>
        Major factors affecting the Establishment.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[This file contains the following major factors affecting the establishment.

16.1	Industrial Policy/Law	
16.2	Labour Act	
16.3	Environment  Act	
16.4	Trade Union	
16.5	Low wage	
16.6	Skilled manpower	
16.7	Access for credit	
16.8	Market	
16.9	Raw material	
16.10	Electricity availability	

All the information is captured in liquard format (ie 1.Very Positive	2. Positive	3. No Effect 4. Negative  5. Very Negative)	 for each factors. The output of this data is tabulated in the Table 24 of the National Level report.]]>
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          12
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Central Bureau of Statistics
      </filePlac>
      <verStmt>
        <version>
          V01: edited, final version for public use.
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <var ID="V1" name="DCODE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        District Code
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	District	
1	 Taplejung	
2	 Panchthar	
3	 Ilam	
4	 Jhapa	
5	 Morang	
6	 Sunsari	
7	 Dhankuta	
8	 Terhathum	
9	 Sankhuwasabha	
10	 Bhojpur	
13	 Khotang	
14	 Udayapur	
15	 Saptari	
16	 Siraha	
17	 Dhanusa	
18	 Mahottari	
19	 Sarlahi	
21	 Ramechhap	
22	 Dolakha	
23	 Sindhupalchok	
24	 Kavre	
25	 Lalitpur	
26	 Bhaktapur	
27	 Kathmandu	
28	 Nuwakot	
30	 Dhading	
31	 Makwanpur	
32	 Rautahat	
33	 Bara	
34	 Parsa	
35	 Chitawan	
36	 Gorkha	
37	 Lamjung	
38	 Tanahu	
39	 Syangja	
40	 Kaski	
42	 Mustang	
43	 Myagdi	
44	 Parbat	
45	 Baglung	
46	 Gulmi	
47	 Palpa	
48	 Nawalparasi	
49	 Rupandehi	
50	 Kapilbastu	
51	 Arghakhanchi	
52	 Pyuthan	
53	 Rolpa	
54	 Rukum	
56	 Dang	
57	 Banke	
58	 Bardiya	
59	 Surkhet	
60	 Dailekh	
61	 Jajarkot	
63	 Jumla	
64	 Kalikot	
67	 Bajura	
68	 Bajhang	
70	 Doti	
71	 Kailali	
72	 Kanchanpur	
73	 Dadeldhura	
74	 Baitadi	
75	 Darchula]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2" name="FORMNO" files="F1" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3" name="VDCMUN" files="F1" dcml="0" intrvl="contin">
      <location StartPos="68" EndPos="70" width="3" RecSegNo="1"/>
      <labl>
        Q1.04 VDC/Municipality Name
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="111"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4" name="YEAR" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="74" width="4" RecSegNo="1"/>
      <labl>
        Q1.10 Start Year
      </labl>
      <valrng>
        <range UNITS="REAL" min="1958" max="2070"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V5" name="MONTH" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="75" EndPos="76" width="2" RecSegNo="1"/>
      <labl>
        Q1.10 Start Month
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="12"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V6" name="DAY" files="F1" dcml="0" intrvl="contin">
      <location StartPos="77" EndPos="78" width="2" RecSegNo="1"/>
      <labl>
        Q1.10 Start Day
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="32"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V7" name="LEG_STAT" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="80" EndPos="80" width="1" RecSegNo="1"/>
      <labl>
        Q1.13 Legal status
      </labl>
      <qstn>
        <qstnLit>
          Q1.13 What is the legal status of the establishment?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Individual proprietorship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Partnership
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private limited company
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Public limited company
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Co-operative society
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other (specify)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Legal Status	
1	Individual proprietorship	
2	Partnership	
3	Private limited company	
4	Public limited company	
5	Co-operative society	
6	Other (specify)	
9	Not reported]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V8" name="OWNER" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="81" EndPos="81" width="1" RecSegNo="1"/>
      <labl>
        Q1.14 Ownership
      </labl>
      <qstn>
        <qstnLit>
          Q1.14 What is the type of ownership of the establishment?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Privately owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Foreign owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Govt. with pvt. collaboration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Private with foreign collab.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other (specify)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Ownership	
1	Government owned	
2	Privately owned	
3	Foreign owned	
4	Govt. with pvt. collaboration	
5	Private with foreign collab.	
6	Other (specify)	
9	Not reported]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V9" name="PETENT" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="82" EndPos="82" width="1" RecSegNo="1"/>
      <labl>
        Q1.15.1 Petent
      </labl>
      <qstn>
        <qstnLit>
          Q1.15.1 Does the establishment have Parent property?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Description	
1	Yes	
2	No]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V10" name="DESIGN" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="83" EndPos="83" width="1" RecSegNo="1"/>
      <labl>
        Q1.15.2 Design
      </labl>
      <qstn>
        <qstnLit>
          Q1.15.2 Does the establishment have Design property?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Description	
1	Yes	
2	No]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V11" name="TRADEMARK" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="84" EndPos="84" width="1" RecSegNo="1"/>
      <labl>
        Q1.15.3 Trademark
      </labl>
      <qstn>
        <qstnLit>
          Q1.15.3 Does the establishment have Trademark?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Description	
1	Yes	
2	No]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V12" name="ISO9001" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="85" width="1" RecSegNo="1"/>
      <labl>
        <![CDATA[Q1.16.1 ISO  9001-2008]]>
      </labl>
      <qstn>
        <qstnLit>
          Q1.16.1 Does the establishment have ISO (9001 - 2008) logo?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Description	
1	Yes	
2	No]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V13" name="ISO14001" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="86" EndPos="86" width="1" RecSegNo="1"/>
      <labl>
        Q1.16.2 ISO 14001-2004
      </labl>
      <qstn>
        <qstnLit>
          Q1.16.2 Does the establishment have ISO (14001 - 2004) logo?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Description	
1	Yes	
2	No]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V14" name="NS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="87" EndPos="87" width="1" RecSegNo="1"/>
      <labl>
        Q1.16.3 NS (Nepal Standard)
      </labl>
      <qstn>
        <qstnLit>
          Q1.16.3 Does the establishment have NS (Nepal Standard) logo?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Description	
1	Yes	
2	No]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V15" name="NSIC" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="88" EndPos="91" width="4" RecSegNo="1"/>
      <labl>
        NSIC
      </labl>
      <qstn>
        <qstnLit>
          What is the main industrial activity of the establishment ?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1010" max="3319"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1010
        </catValu>
        <labl>
          Processing and preserving of meat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1020
        </catValu>
        <labl>
          Processing and preserving of fish, crustaceans and molluscs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1030
        </catValu>
        <labl>
          Processing and preserving of fruit and vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1040
        </catValu>
        <labl>
          Manufacture of vegetable and animal oils and fats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1050
        </catValu>
        <labl>
          Manufacture of dairy products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1061
        </catValu>
        <labl>
          Manufacture of grain mill products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1062
        </catValu>
        <labl>
          Manufacture of starches and starch products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1071
        </catValu>
        <labl>
          Manufacture of bakery products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1072
        </catValu>
        <labl>
          Manufacture of sugar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1073
        </catValu>
        <labl>
          Manufacture of cocoa, chocolate and sugar confectionery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1074
        </catValu>
        <labl>
          Manufacture of macaroni, noodles, couscous and similar farin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1075
        </catValu>
        <labl>
          Manufacture of prepared meals and dishes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1079
        </catValu>
        <labl>
          Manufacture of other food products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1080
        </catValu>
        <labl>
          Manufacture of prepared animal feeds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Distilling, rectifying and blending of spirits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          Manufacture of wines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1103
        </catValu>
        <labl>
          Manufacture of malt liquors and malt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          Manufacture of soft drinks; production of mineral waters and
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Preparation and spinning of textile fibres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1312
        </catValu>
        <labl>
          Weaving of textiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1313
        </catValu>
        <labl>
          Finishing of textiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1391
        </catValu>
        <labl>
          Manufacture of knitted and crocheted fabrics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1392
        </catValu>
        <labl>
          Manufacture of made-up textile articles, except apparel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1393
        </catValu>
        <labl>
          Manufacture of carpets and rugs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1394
        </catValu>
        <labl>
          Manufacture of cordage, rope, twine and netting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1399
        </catValu>
        <labl>
          Manufacture of other textiles n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1410
        </catValu>
        <labl>
          Manufacture of wearing apparel, except fur apparel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1420
        </catValu>
        <labl>
          Manufacture of articles of fur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1430
        </catValu>
        <labl>
          Manufacture of knitted and crocheted apparel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1511
        </catValu>
        <labl>
          Tanning and dressing of leather; dressing and dyeing of fur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1512
        </catValu>
        <labl>
          Manufacture of luggage, handbags and the like, saddlery and
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1520
        </catValu>
        <labl>
          Manufacture of footwear
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1610
        </catValu>
        <labl>
          Sawmilling and planing of wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1621
        </catValu>
        <labl>
          Manufacture of veneer sheets and wood-based panels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1622
        </catValu>
        <labl>
          Manufacture of builders? carpentry and joinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1623
        </catValu>
        <labl>
          Manufacture of wooden containers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1629
        </catValu>
        <labl>
          Manufacture of other products of wood; manufacture of articl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1701
        </catValu>
        <labl>
          Manufacture of pulp, paper and paperboard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1702
        </catValu>
        <labl>
          Manufacture of corrugated paper and paperboard and of contai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1709
        </catValu>
        <labl>
          Manufacture of other articles of paper and paperboard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1811
        </catValu>
        <labl>
          Printing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1812
        </catValu>
        <labl>
          Service activities related to printing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1820
        </catValu>
        <labl>
          Reproduction of recorded media
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Manufacture of coke oven products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Manufacture of refined petroleum products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          Manufacture of basic chemicals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          Manufacture of fertilizers and nitrogen compounds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          Manufacture of plastics and synthetic rubber in primary form
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2021
        </catValu>
        <labl>
          Manufacture of pesticides and other agrochemical products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2022
        </catValu>
        <labl>
          Manufacture of paints, varnishes and similar coatings, print
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2023
        </catValu>
        <labl>
          Manufacture of soap and detergents, cleaning and polishing p
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2029
        </catValu>
        <labl>
          Manufacture of other chemical products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2030
        </catValu>
        <labl>
          Manufacture of man-made fibres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Manufacture of pharmaceuticals, medicinal chemical and botan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Manufacture of rubber tyres and tubes; retreading and rebuil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2219
        </catValu>
        <labl>
          Manufacture of other rubber products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Manufacture of plastics products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Manufacture of glass and glass products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2391
        </catValu>
        <labl>
          Manufacture of refractory products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2392
        </catValu>
        <labl>
          Manufacture of clay building materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2393
        </catValu>
        <labl>
          Manufacture of other porcelain and ceramic products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2394
        </catValu>
        <labl>
          Manufacture of cement, lime and plaster
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2395
        </catValu>
        <labl>
          Manufacture of articles of concrete, cement and plaster
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2396
        </catValu>
        <labl>
          Cutting, shaping and finishing of stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2399
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Manufacture of basic iron and steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Manufacture of basic precious and other non-ferrous metals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2431
        </catValu>
        <labl>
          Casting of iron and steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2432
        </catValu>
        <labl>
          Casting of non-ferrous metals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2511
        </catValu>
        <labl>
          Manufacture of structural metal products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2512
        </catValu>
        <labl>
          Manufacture of tanks, reservoirs and containers of metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2513
        </catValu>
        <labl>
          Manufacture of steam generators, except central heating hot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2520
        </catValu>
        <labl>
          Manufacture of weapons and ammunition
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2591
        </catValu>
        <labl>
          Forging, pressing, stamping and roll-forming of metal; powde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2592
        </catValu>
        <labl>
          Treatment and coating of metals; machining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2593
        </catValu>
        <labl>
          Manufacture of cutlery, hand tools and general hardware
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2599
        </catValu>
        <labl>
          Manufacture of other fabricated metal products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2610
        </catValu>
        <labl>
          Manufacture of electronic components and boards
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2620
        </catValu>
        <labl>
          Manufacture of computers and peripheral equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2630
        </catValu>
        <labl>
          Manufacture of communication equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2640
        </catValu>
        <labl>
          Manufacture of consumer electronics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2651
        </catValu>
        <labl>
          Manufacture of measuring, testing, navigating and control eq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2652
        </catValu>
        <labl>
          Manufacture of watches and clocks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2660
        </catValu>
        <labl>
          Manufacture of irradiation, electromedical and electrotherap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2670
        </catValu>
        <labl>
          Manufacture of optical instruments and photographic equipmen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2680
        </catValu>
        <labl>
          Manufacture of magnetic and optical media
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2710
        </catValu>
        <labl>
          Manufacture of electric motors, generators, transformers and
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2720
        </catValu>
        <labl>
          Manufacture of batteries and accumulators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2731
        </catValu>
        <labl>
          Manufacture of fibre optic cables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2732
        </catValu>
        <labl>
          Manufacture of other electronic and electric wires and cable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2733
        </catValu>
        <labl>
          Manufacture of wiring devices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2740
        </catValu>
        <labl>
          Manufacture of electric lighting equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2750
        </catValu>
        <labl>
          Manufacture of domestic appliances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2790
        </catValu>
        <labl>
          Manufacture of other electrical equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2811
        </catValu>
        <labl>
          Manufacture of engines and turbines, except aircraft, vehicl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2812
        </catValu>
        <labl>
          Manufacture of fluid power equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2813
        </catValu>
        <labl>
          Manufacture of other pumps, compressors, taps and valves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2814
        </catValu>
        <labl>
          Manufacture of bearings, gears, gearing and driving elements
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2815
        </catValu>
        <labl>
          Manufacture of ovens, furnaces and furnace burners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2816
        </catValu>
        <labl>
          Manufacture of lifting and handling equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2817
        </catValu>
        <labl>
          Manufacture of office machinery and equipment (except comput
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2818
        </catValu>
        <labl>
          Manufacture of power-driven hand tools
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2819
        </catValu>
        <labl>
          Manufacture of other general-purpose machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2821
        </catValu>
        <labl>
          Manufacture of agricultural and forestry machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2822
        </catValu>
        <labl>
          Manufacture of metal-forming machinery and machine tools
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2823
        </catValu>
        <labl>
          Manufacture of machinery for metallurgy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2824
        </catValu>
        <labl>
          Manufacture of machinery for mining, quarrying and construct
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2825
        </catValu>
        <labl>
          Manufacture of machinery for food, beverage and tobacco proc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2826
        </catValu>
        <labl>
          Manufacture of machinery for textile, apparel and leather pr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2829
        </catValu>
        <labl>
          Manufacture of other special-purpose machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2910
        </catValu>
        <labl>
          Manufacture of motor vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2920
        </catValu>
        <labl>
          Manufacture of bodies (coachwork) for motor vehicles; manufa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2930
        </catValu>
        <labl>
          Manufacture of parts and accessories for motor vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3011
        </catValu>
        <labl>
          Building of ships and floating structures
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3012
        </catValu>
        <labl>
          Building of pleasure and sporting boats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3020
        </catValu>
        <labl>
          Manufacture of railway locomotives and rolling stock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3030
        </catValu>
        <labl>
          Manufacture of air and spacecraft and related machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3040
        </catValu>
        <labl>
          Manufacture of military fighting vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3091
        </catValu>
        <labl>
          Manufacture of motorcycles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3092
        </catValu>
        <labl>
          Manufacture of bicycles and invalid carriages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3099
        </catValu>
        <labl>
          Manufacture of other transport equipment n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Manufacture of furniture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Manufacture of jewellery and related articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Manufacture of musical instruments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3230
        </catValu>
        <labl>
          Manufacture of sports goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3240
        </catValu>
        <labl>
          Manufacture of games and toys
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3250
        </catValu>
        <labl>
          Manufacture of medical and dental instruments and supplies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3290
        </catValu>
        <labl>
          Other manufacturing n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3311
        </catValu>
        <labl>
          Repair of fabricated metal products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3312
        </catValu>
        <labl>
          Repair of machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3313
        </catValu>
        <labl>
          Repair of electronic and optical equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3314
        </catValu>
        <labl>
          Repair of electrical equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3315
        </catValu>
        <labl>
          Repair of transport equipment, except motor vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3319
        </catValu>
        <labl>
          Repair of other equipment
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	 NSIC Description	
1010	 Processing and preserving of meat 	
1030	 Processing and preserving of fruit and vegetables 	
1040	 Manufacture of vegetable and animal oils and fats 	
1050	 Manufacture of dairy products 	
1061	 Manufacture of grain mill products 	
1071	 Manufacture of bakery products 	
1072	 Manufacture of sugar 	
1073	 Manufacture of cocoa, chocolate and sugar confectionery 	
1074	 Manufacture of macaroni, noodles, couscous and similar farinaceous products 	
1079	 Manufacture of other food products n.e.c. 	
1080	 Manufacture of prepared animal feeds 	
1101	 Distilling, rectifying and blending of spirits 	
1102	 Manufacture of wines 	
1103	 Manufacture of malt liquors and malt 	
1104	 Manufacture of soft drinks; production of mineral waters and other bottled waters 	
1200	 Manufacture of tobacco products 	
1311	 Preparation and spinning of textile fibres 	
1312	 Weaving of textiles 	
1313	 Finishing of textiles 	
1392	 Manufacture of made-up textile articles, except apparel 	
1393	 Manufacture of carpets and rugs 	
1399	 Manufacture of other textiles n.e.c. 	
1410	 Manufacture of wearing apparel, except fur apparel 	
1430	 Manufacture of knitted and crocheted apparel 	
1511	 Tanning and dressing of leather; dressing and dyeing of fur 	
1512	 Manufacture of luggage, handbags and the like, saddlery and harness 	
1520	 Manufacture of footwear 	
1610	 Sawmilling and planing of wood 	
1621	 Manufacture of veneer sheets and wood-based panels 	
1622	 Manufacture of builders’ carpentry and joinery 	
1629	 Manufacture of other products of wood; manufacture of articles of cork, straw and plaiting materials 	
1701	 Manufacture of pulp, paper and paperboard 	
1702	 Manufacture of corrugated paper and paperboard and of containers of paper and paperboard 	
1709	 Manufacture of other articles of paper and paperboard 	
1811	 Printing 	
1812	 Service activities related to printing 	
1920	 Manufacture of refined petroleum products 	
2011	 Manufacture of basic chemicals 	
2012	 Manufacture of fertilizers and nitrogen compounds 	
2013	 Manufacture of plastics and synthetic rubber in primary forms 	
2021	 Manufacture of pesticides and other agrochemical products 	
2022	 Manufacture of paints, varnishes and similar coatings, printing ink and mastics 	
2023	 Manufacture of soap and detergents, cleaning and polishing preparations, perfumes and toilet preparations 	
2029	 Manufacture of other chemical products n.e.c. 	
2100	 Manufacture of pharmaceuticals, medicinal chemical and botanical products 	
2211	 Manufacture of rubber tyres and tubes; retreading and rebuilding of rubber tyres 	
2219	 Manufacture of other rubber products 	
2220	 Manufacture of plastics products 	
2310	 Manufacture of glass and glass products 	
2391	 Manufacture of refractory products 	
2392	 Manufacture of clay building materials 	
2393	 Manufacture of other porcelain and ceramic products 	
2394	 Manufacture of cement, lime and plaster 	
2395	 Manufacture of articles of concrete, cement and plaster 	
2396	 Cutting, shaping and finishing of stone 	
2410	 Manufacture of basic iron and steel 	
2420	 Manufacture of basic precious and other non-ferrous metals 	
2431	 Casting of iron and steel 	
2432	 Casting of non-ferrous metals 	
2511	 Manufacture of structural metal products 	
2512	 Manufacture of tanks, reservoirs and containers of metal 	
2591	 Forging, pressing, stamping and roll-forming of metal; powder metallurgy 	
2592	 Treatment and coating of metals; machining 	
2593	 Manufacture of cutlery, hand tools and general hardware 	
2599	 Manufacture of other fabricated metal products n.e.c. 	
2640	 Manufacture of consumer electronics 	
2710	 Manufacture of electric motors, generators, transformers and electricity distribution and control apparatus 	
2720	 Manufacture of batteries and accumulators 	
2732	 Manufacture of other electronic and electric wires and cables 	
2733	 Manufacture of wiring devices 	
2750	 Manufacture of domestic appliances 	
2790	 Manufacture of other electrical equipment 	
2811	 Manufacture of engines and turbines, except aircraft, vehicle and cycle engines 	
2813	 Manufacture of other pumps, compressors, taps and valves 	
2819	 Manufacture of other general-purpose machinery 	
2821	 Manufacture of agricultural and forestry machinery 	
2822	 Manufacture of metal-forming machinery and machine tools 	
2825	 Manufacture of machinery for food, beverage and tobacco processing 	
2826	 Manufacture of machinery for textile, apparel and leather production 	
2829	 Manufacture of other special-purpose machinery 	
2910	 Manufacture of motor vehicles 	
2920	 Manufacture of bodies (coachwork) for motor vehicles; manufacture of trailers and semi-trailers 	
3100	 Manufacture of furniture 	
3211	 Manufacture of jewellery and related articles 	
3290	 Other manufacturing n.e.c. 	
3314	 Repair of electrical equipment]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V16" name="DCODE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	District	
1	 Taplejung	
2	 Panchthar	
3	 Ilam	
4	 Jhapa	
5	 Morang	
6	 Sunsari	
7	 Dhankuta	
8	 Terhathum	
9	 Sankhuwasabha	
10	 Bhojpur	
13	 Khotang	
14	 Udayapur	
15	 Saptari	
16	 Siraha	
17	 Dhanusa	
18	 Mahottari	
19	 Sarlahi	
21	 Ramechhap	
22	 Dolakha	
23	 Sindhupalchok	
24	 Kavre	
25	 Lalitpur	
26	 Bhaktapur	
27	 Kathmandu	
28	 Nuwakot	
30	 Dhading	
31	 Makwanpur	
32	 Rautahat	
33	 Bara	
34	 Parsa	
35	 Chitawan	
36	 Gorkha	
37	 Lamjung	
38	 Tanahu	
39	 Syangja	
40	 Kaski	
42	 Mustang	
43	 Myagdi	
44	 Parbat	
45	 Baglung	
46	 Gulmi	
47	 Palpa	
48	 Nawalparasi	
49	 Rupandehi	
50	 Kapilbastu	
51	 Arghakhanchi	
52	 Pyuthan	
53	 Rolpa	
54	 Rukum	
56	 Dang	
57	 Banke	
58	 Bardiya	
59	 Surkhet	
60	 Dailekh	
61	 Jajarkot	
63	 Jumla	
64	 Kalikot	
67	 Bajura	
68	 Bajhang	
70	 Doti	
71	 Kailali	
72	 Kanchanpur	
73	 Dadeldhura	
74	 Baitadi	
75	 Darchula]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V17" name="FORMNO" files="F2" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V18" name="EMP_ID" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="7" width="2" RecSegNo="1"/>
      <labl>
        Nepali Employee ID
      </labl>
      <qstn>
        <qstnLit>
          Nepali Employment category
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="95"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Working proprietors and Partners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unpaid family and other workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Working directors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Administrative employees
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Technical employees
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Operatives (production) workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Casual/seasonal employees
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Total
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Description	
1	Working proprietors and Partners	
2	Unpaid family and other workers	
3	Working directors	
4	Administrative employees	
5	Technical employees	
6	Operatives (production) workers	
7	Casual/seasonal employees	
95	Total]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V19" name="NM_NO" files="F2" dcml="0" intrvl="contin">
      <location StartPos="8" EndPos="11" width="4" RecSegNo="1"/>
      <labl>
        Nepali Male No.
      </labl>
      <qstn>
        <qstnLit>
          Number of Nepali Male employee corresponding to Employee category
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="3100"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V20" name="NM_SAL" files="F2" dcml="0" intrvl="contin">
      <location StartPos="12" EndPos="17" width="6" RecSegNo="1"/>
      <labl>
        Nepali Male Salary
      </labl>
      <qstn>
        <preQTxt>
          Check Employee ID. If it is greater than 2 and at least there is one male no, then ask:
        </preQTxt>
        <qstnLit>
          Total Wage/labour (in Rs. thousands) of Nepali Male employee correspond to Employee Category
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="298314"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V21" name="NM_FACT" files="F2" dcml="0" intrvl="contin">
      <location StartPos="18" EndPos="22" width="5" RecSegNo="1"/>
      <labl>
        Nepali Male Facility
      </labl>
      <qstn>
        <preQTxt>
          Check Employee ID. If it is greater than 2 and at least there is one male no, then ask:
        </preQTxt>
        <qstnLit>
          Total Facility (in Rs. thousands) of Nepali Male employee correspond to Employee Category
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="58002"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V22" name="NF_NO" files="F2" dcml="0" intrvl="contin">
      <location StartPos="23" EndPos="26" width="4" RecSegNo="1"/>
      <labl>
        Nepali Female No.
      </labl>
      <qstn>
        <qstnLit>
          Number of Nepali Female employee corresponding to Employee category
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1600"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V23" name="NF_SAL" files="F2" dcml="0" intrvl="contin">
      <location StartPos="27" EndPos="32" width="6" RecSegNo="1"/>
      <labl>
        Nepali Female Salary
      </labl>
      <qstn>
        <preQTxt>
          Check Employee ID. If it is greater than 2 and at least there is one female no, then ask:
        </preQTxt>
        <qstnLit>
          Total Wage/labour (in Rs. thousands) of Nepali Female employee correspond to Employee Category
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="153969"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V24" name="NF_FACT" files="F2" dcml="0" intrvl="contin">
      <location StartPos="33" EndPos="36" width="4" RecSegNo="1"/>
      <labl>
        Nepali Female Facility
      </labl>
      <qstn>
        <preQTxt>
          Check Employee ID. If it is greater than 2 and at least there is one female no, then ask:
        </preQTxt>
        <qstnLit>
          Total Facility (in Rs. thousands) of Nepali Female employee correspond to Employee Category
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="7077"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V25" name="DCODE" files="F3" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	District	
1	 Taplejung	
2	 Panchthar	
3	 Ilam	
4	 Jhapa	
5	 Morang	
6	 Sunsari	
7	 Dhankuta	
8	 Terhathum	
9	 Sankhuwasabha	
10	 Bhojpur	
13	 Khotang	
14	 Udayapur	
15	 Saptari	
16	 Siraha	
17	 Dhanusa	
18	 Mahottari	
19	 Sarlahi	
21	 Ramechhap	
22	 Dolakha	
23	 Sindhupalchok	
24	 Kavre	
25	 Lalitpur	
26	 Bhaktapur	
27	 Kathmandu	
28	 Nuwakot	
30	 Dhading	
31	 Makwanpur	
32	 Rautahat	
33	 Bara	
34	 Parsa	
35	 Chitawan	
36	 Gorkha	
37	 Lamjung	
38	 Tanahu	
39	 Syangja	
40	 Kaski	
42	 Mustang	
43	 Myagdi	
44	 Parbat	
45	 Baglung	
46	 Gulmi	
47	 Palpa	
48	 Nawalparasi	
49	 Rupandehi	
50	 Kapilbastu	
51	 Arghakhanchi	
52	 Pyuthan	
53	 Rolpa	
54	 Rukum	
56	 Dang	
57	 Banke	
58	 Bardiya	
59	 Surkhet	
60	 Dailekh	
61	 Jajarkot	
63	 Jumla	
64	 Kalikot	
67	 Bajura	
68	 Bajhang	
70	 Doti	
71	 Kailali	
72	 Kanchanpur	
73	 Dadeldhura	
74	 Baitadi	
75	 Darchula]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V26" name="FORMNO" files="F3" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="336"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V27" name="F_EMP_ID" files="F3" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="7" width="2" RecSegNo="1"/>
      <labl>
        Foreign Employee ID
      </labl>
      <qstn>
        <qstnLit>
          Foreign Employment Category
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="95"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Working proprietors and Partners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unpaid family and other workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Working directors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Administrative employees
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Technical employees
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Operatives (production) workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Casual/seasonal employees
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Total
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Description	
1	Working proprietors and Partners	
2	Unpaid family and other workers	
3	Working directors	
4	Administrative employees	
5	Technical employees	
6	Operatives (production) workers	
7	Casual/seasonal employees	
95	Total]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V28" name="FM_NO" files="F3" dcml="0" intrvl="contin">
      <location StartPos="8" EndPos="10" width="3" RecSegNo="1"/>
      <labl>
        Foreign Male No.
      </labl>
      <qstn>
        <qstnLit>
          Number of Foreign Male employee corresponding to Employee category
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="400"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V29" name="FM_SAL" files="F3" dcml="0" intrvl="contin">
      <location StartPos="11" EndPos="15" width="5" RecSegNo="1"/>
      <labl>
        Foreign Male Salary
      </labl>
      <qstn>
        <preQTxt>
          Check Foreign Employee ID. If it is greater than 2 and at least there is one foreign male no, then ask:
        </preQTxt>
        <qstnLit>
          Total Wage/labour (in Rs. thousands) of Foreign Male employee correspond to Employee Category
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="35877"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V30" name="FM_FACT" files="F3" dcml="0" intrvl="contin">
      <location StartPos="16" EndPos="20" width="5" RecSegNo="1"/>
      <labl>
        Foreign Male Facility
      </labl>
      <qstn>
        <preQTxt>
          Check Foreign Employee ID. If it is greater than 2 and at least there is one foreign male no, then ask:
        </preQTxt>
        <qstnLit>
          Total Facility (in Rs. thousands) of Foreign Male employee correspond to Employee Category
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="14711"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V31" name="FF_NO" files="F3" dcml="0" intrvl="contin">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Foreign Female No.
      </labl>
      <qstn>
        <qstnLit>
          Number of Foreign Female employee corresponding to Employee category
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="275"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V32" name="FF_SAL" files="F3" dcml="0" intrvl="contin">
      <location StartPos="24" EndPos="28" width="5" RecSegNo="1"/>
      <labl>
        Foreign Female Salary
      </labl>
      <qstn>
        <preQTxt>
          Check Foreign Employee ID. If it is greater than 2 and at least there is one foreign female no, then ask:
        </preQTxt>
        <qstnLit>
          Total Wage/labour (in Rs. thousands) of Foreign Female employee correspond to Employee Category
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="15750"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V33" name="FF_FACT" files="F3" dcml="0" intrvl="contin">
      <location StartPos="29" EndPos="31" width="3" RecSegNo="1"/>
      <labl>
        Foreign Female Facility
      </labl>
      <qstn>
        <preQTxt>
          Check Foreign Employee ID. If it is greater than 2 and at least there is one foreign female no, then ask:
        </preQTxt>
        <qstnLit>
          Total Facility (in Rs. thousands) of Foreign Female employee correspond to Employee Category
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="431"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V34" name="DCODE" files="F4" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	District	
1	 Taplejung	
2	 Panchthar	
3	 Ilam	
4	 Jhapa	
5	 Morang	
6	 Sunsari	
7	 Dhankuta	
8	 Terhathum	
9	 Sankhuwasabha	
10	 Bhojpur	
13	 Khotang	
14	 Udayapur	
15	 Saptari	
16	 Siraha	
17	 Dhanusa	
18	 Mahottari	
19	 Sarlahi	
21	 Ramechhap	
22	 Dolakha	
23	 Sindhupalchok	
24	 Kavre	
25	 Lalitpur	
26	 Bhaktapur	
27	 Kathmandu	
28	 Nuwakot	
30	 Dhading	
31	 Makwanpur	
32	 Rautahat	
33	 Bara	
34	 Parsa	
35	 Chitawan	
36	 Gorkha	
37	 Lamjung	
38	 Tanahu	
39	 Syangja	
40	 Kaski	
42	 Mustang	
43	 Myagdi	
44	 Parbat	
45	 Baglung	
46	 Gulmi	
47	 Palpa	
48	 Nawalparasi	
49	 Rupandehi	
50	 Kapilbastu	
51	 Arghakhanchi	
52	 Pyuthan	
53	 Rolpa	
54	 Rukum	
56	 Dang	
57	 Banke	
58	 Bardiya	
59	 Surkhet	
60	 Dailekh	
61	 Jajarkot	
63	 Jumla	
64	 Kalikot	
67	 Bajura	
68	 Bajhang	
70	 Doti	
71	 Kailali	
72	 Kanchanpur	
73	 Dadeldhura	
74	 Baitadi	
75	 Darchula]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V35" name="FORMNO" files="F4" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V36" name="FUEL_ID" files="F4" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="7" width="2" RecSegNo="1"/>
      <labl>
        Fuel ID
      </labl>
      <qstn>
        <qstnLit>
          Write down Fuel category.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="95"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Firewood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Charcoal/coal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Diseal oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Petrol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Kerosene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Liquified gas (L.P.G.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Electricity purchased
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other fuel purchased
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          TOTAL
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Fuel Category	
1	Firewood	
2	Charcoal/coal	
3	Diseal oil	
4	Petrol	
5	Kerosene	
6	Liquified gas (L.P.G.)	
7	Electricity purchased	
8	Other fuel purchased	
95	Total]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V37" name="FUEL_QTY" files="F4" dcml="0" intrvl="contin">
      <location StartPos="8" EndPos="15" width="8" RecSegNo="1"/>
      <labl>
        Annual purchase quantity
      </labl>
      <qstn>
        <qstnLit>
          What is total annual quantity of the purchase of correspoding fuel type ?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="89717962"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V38" name="FUEL_AMT" files="F4" dcml="0" intrvl="contin">
      <location StartPos="16" EndPos="22" width="7" RecSegNo="1"/>
      <labl>
        Annual purchase amount (in thousand)
      </labl>
      <qstn>
        <qstnLit>
          How much annual purchase amount of the corresponding fuel type (in Rs. thousands) ?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1028133"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V39" name="DCODE" files="F5" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	District	
1	 Taplejung	
2	 Panchthar	
3	 Ilam	
4	 Jhapa	
5	 Morang	
6	 Sunsari	
7	 Dhankuta	
8	 Terhathum	
9	 Sankhuwasabha	
10	 Bhojpur	
13	 Khotang	
14	 Udayapur	
15	 Saptari	
16	 Siraha	
17	 Dhanusa	
18	 Mahottari	
19	 Sarlahi	
21	 Ramechhap	
22	 Dolakha	
23	 Sindhupalchok	
24	 Kavre	
25	 Lalitpur	
26	 Bhaktapur	
27	 Kathmandu	
28	 Nuwakot	
30	 Dhading	
31	 Makwanpur	
32	 Rautahat	
33	 Bara	
34	 Parsa	
35	 Chitawan	
36	 Gorkha	
37	 Lamjung	
38	 Tanahu	
39	 Syangja	
40	 Kaski	
42	 Mustang	
43	 Myagdi	
44	 Parbat	
45	 Baglung	
46	 Gulmi	
47	 Palpa	
48	 Nawalparasi	
49	 Rupandehi	
50	 Kapilbastu	
51	 Arghakhanchi	
52	 Pyuthan	
53	 Rolpa	
54	 Rukum	
56	 Dang	
57	 Banke	
58	 Bardiya	
59	 Surkhet	
60	 Dailekh	
61	 Jajarkot	
63	 Jumla	
64	 Kalikot	
67	 Bajura	
68	 Bajhang	
70	 Doti	
71	 Kailali	
72	 Kanchanpur	
73	 Dadeldhura	
74	 Baitadi	
75	 Darchula]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V40" name="FORMNO" files="F5" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V41" name="WATER_ELEC_ID" files="F5" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="6" width="1" RecSegNo="1"/>
      <labl>
        Water_Elec ID
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Water purchase
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Water produced/pumped up/collectted/drawn in (for own purpos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Electricity purchased (for own purpose)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Electricity generated
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Description	
1	Water purchase	
2	Water produced/pumped up/collectted/drawn in (for own purpose)	
3	Electricity purchased (for own purpose)	
4	Electricity generated]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V42" name="WATER_ELEC_QTY" files="F5" dcml="0" intrvl="contin">
      <location StartPos="7" EndPos="14" width="8" RecSegNo="1"/>
      <labl>
        Annual quantity
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="27500000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V43" name="WATER_ELEC_AMT" files="F5" dcml="0" intrvl="contin">
      <location StartPos="15" EndPos="18" width="4" RecSegNo="1"/>
      <labl>
        Annual amount (Rs. in thousand)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="7874"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V44" name="DCODE" files="F6" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	District	
1	 Taplejung	
2	 Panchthar	
3	 Ilam	
4	 Jhapa	
5	 Morang	
6	 Sunsari	
7	 Dhankuta	
8	 Terhathum	
9	 Sankhuwasabha	
10	 Bhojpur	
13	 Khotang	
14	 Udayapur	
15	 Saptari	
16	 Siraha	
17	 Dhanusa	
18	 Mahottari	
19	 Sarlahi	
21	 Ramechhap	
22	 Dolakha	
23	 Sindhupalchok	
24	 Kavre	
25	 Lalitpur	
26	 Bhaktapur	
27	 Kathmandu	
28	 Nuwakot	
30	 Dhading	
31	 Makwanpur	
32	 Rautahat	
33	 Bara	
34	 Parsa	
35	 Chitawan	
36	 Gorkha	
37	 Lamjung	
38	 Tanahu	
39	 Syangja	
40	 Kaski	
42	 Mustang	
43	 Myagdi	
44	 Parbat	
45	 Baglung	
46	 Gulmi	
47	 Palpa	
48	 Nawalparasi	
49	 Rupandehi	
50	 Kapilbastu	
51	 Arghakhanchi	
52	 Pyuthan	
53	 Rolpa	
54	 Rukum	
56	 Dang	
57	 Banke	
58	 Bardiya	
59	 Surkhet	
60	 Dailekh	
61	 Jajarkot	
63	 Jumla	
64	 Kalikot	
67	 Bajura	
68	 Bajhang	
70	 Doti	
71	 Kailali	
72	 Kanchanpur	
73	 Dadeldhura	
74	 Baitadi	
75	 Darchula]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V45" name="FORMNO" files="F6" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V46" name="EIS_ID" files="F6" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="7" width="2" RecSegNo="1"/>
      <labl>
        Expenditure on Industrial Service
      </labl>
      <qstn>
        <qstnLit>
          Give down Expenditure on Industrial Service type
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="95"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Payments made to other firms or individuals for work perform
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Payments made for repair and maintenance work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Payments made for resale (traded goods i.e. goods sold in th
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Total
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code        Description on Expenditure on Industrial Service	
1	Payments made to other firms or individuals for work performed on sub-contract or other conditions	
2	Payments made for repair and maintenance work	
3	Payments made for resale (traded goods i.e. goods sold in the same condition as purchased)	
95	Total]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V47" name="EIS_AMT" files="F6" dcml="0" intrvl="contin">
      <location StartPos="8" EndPos="13" width="6" RecSegNo="1"/>
      <labl>
        Amount expenditure amount (Rs. in thousand)
      </labl>
      <qstn>
        <qstnLit>
          Total amount of expenditure (in Rs. thousands) of corresponding Industrial service.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="207614"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V48" name="DCODE" files="F7" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	District	
1	 Taplejung	
2	 Panchthar	
3	 Ilam	
4	 Jhapa	
5	 Morang	
6	 Sunsari	
7	 Dhankuta	
8	 Terhathum	
9	 Sankhuwasabha	
10	 Bhojpur	
13	 Khotang	
14	 Udayapur	
15	 Saptari	
16	 Siraha	
17	 Dhanusa	
18	 Mahottari	
19	 Sarlahi	
21	 Ramechhap	
22	 Dolakha	
23	 Sindhupalchok	
24	 Kavre	
25	 Lalitpur	
26	 Bhaktapur	
27	 Kathmandu	
28	 Nuwakot	
30	 Dhading	
31	 Makwanpur	
32	 Rautahat	
33	 Bara	
34	 Parsa	
35	 Chitawan	
36	 Gorkha	
37	 Lamjung	
38	 Tanahu	
39	 Syangja	
40	 Kaski	
42	 Mustang	
43	 Myagdi	
44	 Parbat	
45	 Baglung	
46	 Gulmi	
47	 Palpa	
48	 Nawalparasi	
49	 Rupandehi	
50	 Kapilbastu	
51	 Arghakhanchi	
52	 Pyuthan	
53	 Rolpa	
54	 Rukum	
56	 Dang	
57	 Banke	
58	 Bardiya	
59	 Surkhet	
60	 Dailekh	
61	 Jajarkot	
63	 Jumla	
64	 Kalikot	
67	 Bajura	
68	 Bajhang	
70	 Doti	
71	 Kailali	
72	 Kanchanpur	
73	 Dadeldhura	
74	 Baitadi	
75	 Darchula]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V49" name="FORMNO" files="F7" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V50" name="IIS_ID" files="F7" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="7" width="2" RecSegNo="1"/>
      <labl>
        Income from Industrial Service
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="95"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Receipts for contract work down (on goods not owned by the company)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Receipts for repair and maintenance work done
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Receipts from sale of traded goods (i.e.purchased in the same condition as sold)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Total
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Description on Income from Industrial Service	
1	Contract and Commission	
2	Repair and Maintenance	
3	Goods Bought to be sold in same condition as purchase	
95	Total]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V51" name="IIS_AMT" files="F7" dcml="0" intrvl="contin">
      <location StartPos="8" EndPos="13" width="6" RecSegNo="1"/>
      <labl>
        Amount income amount (Rs. in thousand)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="241426"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V52" name="DCODE" files="F8" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	District	
1	 Taplejung	
2	 Panchthar	
3	 Ilam	
4	 Jhapa	
5	 Morang	
6	 Sunsari	
7	 Dhankuta	
8	 Terhathum	
9	 Sankhuwasabha	
10	 Bhojpur	
13	 Khotang	
14	 Udayapur	
15	 Saptari	
16	 Siraha	
17	 Dhanusa	
18	 Mahottari	
19	 Sarlahi	
21	 Ramechhap	
22	 Dolakha	
23	 Sindhupalchok	
24	 Kavre	
25	 Lalitpur	
26	 Bhaktapur	
27	 Kathmandu	
28	 Nuwakot	
30	 Dhading	
31	 Makwanpur	
32	 Rautahat	
33	 Bara	
34	 Parsa	
35	 Chitawan	
36	 Gorkha	
37	 Lamjung	
38	 Tanahu	
39	 Syangja	
40	 Kaski	
42	 Mustang	
43	 Myagdi	
44	 Parbat	
45	 Baglung	
46	 Gulmi	
47	 Palpa	
48	 Nawalparasi	
49	 Rupandehi	
50	 Kapilbastu	
51	 Arghakhanchi	
52	 Pyuthan	
53	 Rolpa	
54	 Rukum	
56	 Dang	
57	 Banke	
58	 Bardiya	
59	 Surkhet	
60	 Dailekh	
61	 Jajarkot	
63	 Jumla	
64	 Kalikot	
67	 Bajura	
68	 Bajhang	
70	 Doti	
71	 Kailali	
72	 Kanchanpur	
73	 Dadeldhura	
74	 Baitadi	
75	 Darchula]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V53" name="FORMNO" files="F8" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V54" name="RAW_ID" files="F8" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="9" width="4" RecSegNo="1"/>
      <labl>
        Raw Material Code
      </labl>
      <qstn>
        <qstnLit>
          Description of raw material
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="111" max="9995"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Paddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Barley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          Other cereals, pulses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Fruit-bearing vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Green leguminous vegetables (beans, peas green etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Root, bulb or tuberous vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          Vegetables, fresh, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Tropical and subtropical fruits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Citrus fruits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Grapes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Pome fruits and stone fruits (apple, pears etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          Nuts (excluding wild edible nuts and groundnuts), in shell
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Other fruits, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Soya beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Groundnuts in shell
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Other oilseeds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          Other oleaginous fruits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Potatoes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Coffee, green
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          Tea leaves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          Spice and aromatic crops, raw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          Stimulant, spice and aromatic crops, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Pulses (dried leguminous vegetables)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Sugar crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Forage products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Fibre crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Plants used In pharmacy or in perfumery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          Natural rubber in primary forms or in plates, sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          Unmanufactured tobacco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Other raw vegetable materials, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Raw Milk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Eggs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          Raw wool, animal hair
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          Raw skins and hides
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Wood (Golia)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Natural gums and resins
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Parts of plants (ornamental purposes)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          Vegetable products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Fish, fresh or chilled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Crude petroleum oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1410
        </catValu>
        <labl>
          Iron ore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1513
        </catValu>
        <labl>
          Stone, granite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1520
        </catValu>
        <labl>
          Gypsom, limestone flux
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1531
        </catValu>
        <labl>
          Natural sands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1532
        </catValu>
        <labl>
          Gravel, crushed stone, powder of stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1533
        </catValu>
        <labl>
          Bitumen and asphalt, natural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1540
        </catValu>
        <labl>
          Clays
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1620
        </catValu>
        <labl>
          Salt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1633
        </catValu>
        <labl>
          Chalk and dolomite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1800
        </catValu>
        <labl>
          Natural water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Meat of mammals, fresh or chilled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Meat of poultry, fresh or chilled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2115
        </catValu>
        <labl>
          Edible offal of mammals, fresh, chilled or frozen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2134
        </catValu>
        <labl>
          Vegetables, pulses and potatoes, preserved by acetic acid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2143
        </catValu>
        <labl>
          Fruit juices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2149
        </catValu>
        <labl>
          Other preserved fruit and nuts (except by sugar)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2153
        </catValu>
        <labl>
          Vegetable oils, crude
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2154
        </catValu>
        <labl>
          Vegetable oils, refined
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2159
        </catValu>
        <labl>
          Other animal and vegetable oils and fats, refined, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2171
        </catValu>
        <labl>
          Oil-cake (Pina) and other solid residues
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Processed liquid milk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Cream, fresh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2221
        </catValu>
        <labl>
          Milk and cream in solid forms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2222
        </catValu>
        <labl>
          Milk and cream, other than in solid forms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2224
        </catValu>
        <labl>
          Butter and other fats and oils derived from milk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2225
        </catValu>
        <labl>
          Cheese, fresh or processed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2227
        </catValu>
        <labl>
          Ice cream and other edible ice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2229
        </catValu>
        <labl>
          Dairy products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Wheat and meslin flour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Other cereal flours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2316
        </catValu>
        <labl>
          Rice, semi- or wholly milled, or husked
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2317
        </catValu>
        <labl>
          Other vegetable flours and meals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2318
        </catValu>
        <labl>
          Mixes and doughs for the preparation of bakers wares
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2321
        </catValu>
        <labl>
          Glucose and glucose syrup, its syrups
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2322
        </catValu>
        <labl>
          Starch, dextrins and other modified starches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2342
        </catValu>
        <labl>
          Gingerbread and the like; sweet biscuits; waffles and wafers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2351
        </catValu>
        <labl>
          Raw cane or beet sugar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2352
        </catValu>
        <labl>
          Gud and sakhhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2353
        </catValu>
        <labl>
          Sugar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2354
        </catValu>
        <labl>
          Molasses, Khudo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2362
        </catValu>
        <labl>
          Cocoa butter, fat and oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2364
        </catValu>
        <labl>
          Cocoa powder, sweetened
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2365
        </catValu>
        <labl>
          Chocolate and cocoa (bulk form)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2366
        </catValu>
        <labl>
          Chocolate and cocoa (other than bulk form)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2391
        </catValu>
        <labl>
          Coffee and tea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2392
        </catValu>
        <labl>
          Spices and aromatics, processed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2399
        </catValu>
        <labl>
          Other food products (yeasts, baking powders etc)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Undenature ethyl alcohol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2413
        </catValu>
        <labl>
          Alcohol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2423
        </catValu>
        <labl>
          Wine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2432
        </catValu>
        <labl>
          Malt, whether or not roasted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2441
        </catValu>
        <labl>
          Bottled waters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2509
        </catValu>
        <labl>
          Other refined tobacco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2611
        </catValu>
        <labl>
          Raw silk (not thrown)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2613
        </catValu>
        <labl>
          Wool, carbonized, not carded or combed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2616
        </catValu>
        <labl>
          Cotton, carded or combed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2617
        </catValu>
        <labl>
          Lokta &amp; argeli, resha of jute
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2621
        </catValu>
        <labl>
          Synthetic staple fibres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2631
        </catValu>
        <labl>
          Silk yarn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2632
        </catValu>
        <labl>
          Woolen yarn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2635
        </catValu>
        <labl>
          Cotton sewing thread
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2636
        </catValu>
        <labl>
          Cotton yarn (other than sewing thread)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2638
        </catValu>
        <labl>
          Yarn of zute, sutali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2641
        </catValu>
        <labl>
          Fibers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2642
        </catValu>
        <labl>
          Yarn of man-made filaments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2661
        </catValu>
        <labl>
          Woven fabrics of cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2663
        </catValu>
        <labl>
          Thread
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2669
        </catValu>
        <labl>
          Other woven fabrics of cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2671
        </catValu>
        <labl>
          Ployester cloth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2679
        </catValu>
        <labl>
          Other woven fabrics of man-made staple fibres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2689
        </catValu>
        <labl>
          Woven fabrics (including narrow fabrics) of glass fibres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2711
        </catValu>
        <labl>
          Blankets and travelling rugs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2715
        </catValu>
        <labl>
          Sacks and bags
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2716
        </catValu>
        <labl>
          Tarpaulins, sails for boats etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2718
        </catValu>
        <labl>
          Pillows, sleeping bags, Quilts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2719
        </catValu>
        <labl>
          Life-jackets, life-belts, and similar cleaning cloths
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2721
        </catValu>
        <labl>
          Carpets and other textile floor coverings, knotted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2732
        </catValu>
        <labl>
          Net of clothes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2791
        </catValu>
        <labl>
          Tulles, lace, and embroidery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2799
        </catValu>
        <labl>
          Other textile articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2821
        </catValu>
        <labl>
          Panty hose, socks and other hosiery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2824
        </catValu>
        <labl>
          Products of readymade leather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2912
        </catValu>
        <labl>
          Processed leather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2913
        </catValu>
        <labl>
          Other leather, without hair on
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2933
        </catValu>
        <labl>
          Footwear with uppers of leather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2960
        </catValu>
        <labl>
          Parts of footwear
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Chiran wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3121
        </catValu>
        <labl>
          Wood stripes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3122
        </catValu>
        <labl>
          Wood wool; wood flour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3123
        </catValu>
        <labl>
          Wood in chips or particles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3141
        </catValu>
        <labl>
          Plywood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3142
        </catValu>
        <labl>
          Sunmica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3144
        </catValu>
        <labl>
          Fibreboard of wood or other ligneous materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3151
        </catValu>
        <labl>
          Vaneer sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3152
        </catValu>
        <labl>
          Densified wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3160
        </catValu>
        <labl>
          Builders joinery and carpentry of wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3170
        </catValu>
        <labl>
          Packing cases, drums and similar packings, of wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3191
        </catValu>
        <labl>
          Other products of wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3192
        </catValu>
        <labl>
          Articles of cork and straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Pulps of wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3212
        </catValu>
        <labl>
          Newsprint, hand-made paper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3213
        </catValu>
        <labl>
          Cigarette Paper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3214
        </catValu>
        <labl>
          Processed paper and paperboard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3215
        </catValu>
        <labl>
          Sacks and bags of paper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3219
        </catValu>
        <labl>
          Other paper and paperboard products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3251
        </catValu>
        <labl>
          Atlases, maps or charts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3253
        </catValu>
        <labl>
          Printed postcards
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3262
        </catValu>
        <labl>
          Trade advertising material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3270
        </catValu>
        <labl>
          Registers, account books, notebooks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3280
        </catValu>
        <labl>
          Printing plates and composed type
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Fly ash (kharani), patthar koila
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3334
        </catValu>
        <labl>
          Kerosene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3337
        </catValu>
        <labl>
          Fuel oils n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3338
        </catValu>
        <labl>
          Lubricating petroleum oils
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3350
        </catValu>
        <labl>
          Greeze
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3411
        </catValu>
        <labl>
          Carbon black
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3412
        </catValu>
        <labl>
          Palm fatty acid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3413
        </catValu>
        <labl>
          Alcohols, phenols, and their derivatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3421
        </catValu>
        <labl>
          Hydrogen, nitrogen, oxygen, carbon dioxide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3422
        </catValu>
        <labl>
          Zinc oxide; zinc peroxide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3423
        </catValu>
        <labl>
          Chemical elements n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3427
        </catValu>
        <labl>
          Sodium silicate, cyanides, and cyanates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3434
        </catValu>
        <labl>
          Colouring matter n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3440
        </catValu>
        <labl>
          Khoto, terpenic oils, rosin oils
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3452
        </catValu>
        <labl>
          Sulphur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3455
        </catValu>
        <labl>
          Inedible mixtures of animal or vegetable fats or oils
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3457
        </catValu>
        <labl>
          Glycerol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3461
        </catValu>
        <labl>
          Mineral or chemical fertilizers, nitrogenous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3462
        </catValu>
        <labl>
          Mineral or chemical fertilizers, phosphatic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3463
        </catValu>
        <labl>
          Mineral or chemical fertilizers, potassic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3465
        </catValu>
        <labl>
          Other fertilizers (Ammonia, Ammonium chloride etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3466
        </catValu>
        <labl>
          Insecticides, fungicides, and disinfectants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3471
        </catValu>
        <labl>
          Polymers of ethylene, in primary forms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3472
        </catValu>
        <labl>
          Polymers of styrene, in primary forms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3473
        </catValu>
        <labl>
          Polymers of vinyl chloride, in primary forms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3474
        </catValu>
        <labl>
          Primary form of polyster
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3479
        </catValu>
        <labl>
          Other plastics in primary forms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3480
        </catValu>
        <labl>
          Synthetic rubber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3511
        </catValu>
        <labl>
          Paints and varnishes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3512
        </catValu>
        <labl>
          Artists', students' or signboard painters' colours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3513
        </catValu>
        <labl>
          Printing ink
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3514
        </catValu>
        <labl>
          Writing or drawing ink and other inks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3524
        </catValu>
        <labl>
          Sugars, chemically pure n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3525
        </catValu>
        <labl>
          Provitamins, vitamins and antibiotics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3529
        </catValu>
        <labl>
          Articles for medical or surgical purposes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3532
        </catValu>
        <labl>
          Soap and detergents, perfume and toilet preparations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3542
        </catValu>
        <labl>
          Mobicol, fabicol, glues
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3543
        </catValu>
        <labl>
          Transformer oil, prepared additives for mineral oils
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3549
        </catValu>
        <labl>
          Other chemical products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3611
        </catValu>
        <labl>
          Tyres and tubes of rubber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3621
        </catValu>
        <labl>
          Reclaimed rubber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3622
        </catValu>
        <labl>
          Thread, sheets, strip, rods, of rubber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3623
        </catValu>
        <labl>
          Tubes, pipes of rubber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3625
        </catValu>
        <labl>
          Rubberized textile fabrics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3626
        </catValu>
        <labl>
          Articles of apparel (gloves) of rubber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3627
        </catValu>
        <labl>
          Articles of vulcanized rubber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3631
        </catValu>
        <labl>
          Plastic granules and profile shapes of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3632
        </catValu>
        <labl>
          Tubes, pipes and fittings, of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3633
        </catValu>
        <labl>
          Plates, film, of plastics, not self-adhesive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3639
        </catValu>
        <labl>
          Other plates, sheets, film, of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3641
        </catValu>
        <labl>
          Sacks and bags, of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3649
        </catValu>
        <labl>
          Lids, caps and other closures, of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3691
        </catValu>
        <labl>
          Floor coverings of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3692
        </catValu>
        <labl>
          Self-adhesive plates, sheets, film of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3694
        </catValu>
        <labl>
          Household articles of plastic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3696
        </catValu>
        <labl>
          Electrical parts of plastic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3699
        </catValu>
        <labl>
          Articles of plastics n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3711
        </catValu>
        <labl>
          Unworked glass, flat glass; glass mirrors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3712
        </catValu>
        <labl>
          Glass fibres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3719
        </catValu>
        <labl>
          Other glass articles (bottle, jar etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3731
        </catValu>
        <labl>
          Tiles, bricks of ceramic goods of siliceous earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3735
        </catValu>
        <labl>
          Tiles, bricks of non-refractory ceramic goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3741
        </catValu>
        <labl>
          Plasters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3742
        </catValu>
        <labl>
          Lime
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3743
        </catValu>
        <labl>
          Cement clinkers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3744
        </catValu>
        <labl>
          Cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3745
        </catValu>
        <labl>
          Calcinated dolomite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3754
        </catValu>
        <labl>
          Tiles, bricks of cement and concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3756
        </catValu>
        <labl>
          Other articles of cement and concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3769
        </catValu>
        <labl>
          Monumental or building stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3811
        </catValu>
        <labl>
          Seats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3812
        </catValu>
        <labl>
          Other furniture, of a kind used in offices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3814
        </catValu>
        <labl>
          Other furniture n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3823
        </catValu>
        <labl>
          Industrial diamonds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3824
        </catValu>
        <labl>
          Jewellery and other articles of precious metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3891
        </catValu>
        <labl>
          Pens, pencils, stamps
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3892
        </catValu>
        <labl>
          Umbrellas, sun-umbrellas, buttons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3897
        </catValu>
        <labl>
          Human hair; wool or other animal hair
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3899
        </catValu>
        <labl>
          Other articles; Brooms, brushes, combs etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3911
        </catValu>
        <labl>
          Raw offal, inedible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3912
        </catValu>
        <labl>
          Rice Bran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3913
        </catValu>
        <labl>
          Residues of starch manufacture and similar residues
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3921
        </catValu>
        <labl>
          Textile wastes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3927
        </catValu>
        <labl>
          Waste and scrap of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3928
        </catValu>
        <labl>
          Sawdust and wood waste and scrap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3929
        </catValu>
        <labl>
          Other non-metal waste or scrap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3931
        </catValu>
        <labl>
          Slag, granulated slag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3932
        </catValu>
        <labl>
          Ash and residue containing metals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3933
        </catValu>
        <labl>
          Waste and scrap of precious metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3934
        </catValu>
        <labl>
          Ferrous waste and scrap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3935
        </catValu>
        <labl>
          Remelting scrap ingots of iron or steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3936
        </catValu>
        <labl>
          Waste and scrap of other metals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3937
        </catValu>
        <labl>
          Vessels and other floating structures for breaking up
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4111
        </catValu>
        <labl>
          Primary materials of the iron and steel industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4112
        </catValu>
        <labl>
          Crude steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4122
        </catValu>
        <labl>
          Flat-rolled products of steel, not further worked than cold-
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4123
        </catValu>
        <labl>
          Flat-rolled products of steel, further worked than hot-rolle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4124
        </catValu>
        <labl>
          Bars and rods, hot-rolled, of iron or steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4125
        </catValu>
        <labl>
          Angles, shapes not further worked than hot-rolled of iron
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4126
        </catValu>
        <labl>
          Wire of iron or alloy steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4127
        </catValu>
        <labl>
          Hollow drill bars and rods of steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4128
        </catValu>
        <labl>
          Tubes, pipes and hollow profiles, of steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4129
        </catValu>
        <labl>
          Tubes, pipes and hollow profiles of cast-iron and cast-steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4131
        </catValu>
        <labl>
          Silver
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4132
        </catValu>
        <labl>
          Gold
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4141
        </catValu>
        <labl>
          Copper, unwrought; copper mattes; cement copper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4142
        </catValu>
        <labl>
          Nickel Products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4143
        </catValu>
        <labl>
          Aluminium, unwrought; alumina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4144
        </catValu>
        <labl>
          Lead, zinc and tin, unwrought
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4151
        </catValu>
        <labl>
          Semi-finished products of copper or copper alloys
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4152
        </catValu>
        <labl>
          Semi-finished products of nickel or nickel alloys
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4153
        </catValu>
        <labl>
          Semi-finished products of aluminium or aluminium alloys
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4154
        </catValu>
        <labl>
          Semi-finished products of lead, zinc and tin or their alloys
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4211
        </catValu>
        <labl>
          Bridges, bridge sections, towers of iron or steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4212
        </catValu>
        <labl>
          Doors, windows and their frames of iron, steel or aluminium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4219
        </catValu>
        <labl>
          Parts of structures, of iron, steel or aluminium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4221
        </catValu>
        <labl>
          Reservoirs, tanks, and similar containers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4291
        </catValu>
        <labl>
          Domestic metal products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4292
        </catValu>
        <labl>
          Hand Tools
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4293
        </catValu>
        <labl>
          Tanks, casks, drums, cans, boxes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4294
        </catValu>
        <labl>
          Metal fasteners, springs and articles made from metal wire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4295
        </catValu>
        <labl>
          Welding rods, rounder and similar products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4299
        </catValu>
        <labl>
          Other metal goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4311
        </catValu>
        <labl>
          Internal combustion piston engines, other than for motor veh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4312
        </catValu>
        <labl>
          Internal combustion engines of a kind used for motor vehicle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4323
        </catValu>
        <labl>
          Air or vacuum pumps; air or other gas compressors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4331
        </catValu>
        <labl>
          Ball or roller bearings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4332
        </catValu>
        <labl>
          Gears, Bearing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4393
        </catValu>
        <labl>
          General-purpose machinery n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4413
        </catValu>
        <labl>
          Milking and dairy machines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4421
        </catValu>
        <labl>
          Machine-tools for working material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4452
        </catValu>
        <labl>
          Parts for the goods of class 4451
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4481
        </catValu>
        <labl>
          Domestic electric appliances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4482
        </catValu>
        <labl>
          Domestic cooking and heating equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4491
        </catValu>
        <labl>
          Other special-purpose machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4611
        </catValu>
        <labl>
          Electric motors, generators and the like
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4612
        </catValu>
        <labl>
          Electrical transformers, static converters and inductors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4613
        </catValu>
        <labl>
          Parts for the goods of classes 4611 and 4612
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4621
        </catValu>
        <labl>
          Electricity distribution or control apparatus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4622
        </catValu>
        <labl>
          Parts of electricity distribution or control apparatus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4631
        </catValu>
        <labl>
          Insulated winding wire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4632
        </catValu>
        <labl>
          Coaxial cable and other coaxial electric conductors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4651
        </catValu>
        <labl>
          Electric filament or discharge lamps
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4653
        </catValu>
        <labl>
          Lighting equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4715
        </catValu>
        <labl>
          Diodes, transistors and similar semi-conductor devices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4740
        </catValu>
        <labl>
          Parts for the goods of classes 4721 to 4733 and 4822
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4824
        </catValu>
        <labl>
          Instruments &amp; apparatus for measuring electrical quantities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4912
        </catValu>
        <labl>
          Parts and accessories n.e.c. of motor vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4922
        </catValu>
        <labl>
          Trailers and semi-trailers; containers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9990
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Raw material	
111	Wheat	
112	Maize	
113	Paddy	
115	Barley	
118	Millet	
119	Other cereals, pulses	
123	Fruit-bearing vegetables	
124	Green leguminous vegetables (beans, peas green etc.)	
125	Root, bulb or tuberous vegetables	
129	Vegetables, fresh, n.e.c.	
131	Tropical and subtropical fruits	
132	Citrus fruits	
133	Grapes	
135	Pome fruits and stone fruits (apple, pears etc.)	
137	Nuts (excluding wild edible nuts and groundnuts), in shell	
139	Other fruits, n.e.c.	
141	Soya beans	
142	Groundnuts in shell	
144	Other oilseeds	
149	Other oleaginous fruits	
151	Potatoes	
161	Coffee, green	
162	Tea leaves	
165	Spice and aromatic crops, raw	
169	Stimulant, spice and aromatic crops, n.e.c.	
170	Pulses (dried leguminous vegetables)	
180	Sugar crops	
191	Forage products	
192	Fibre crops	
193	Plants used In pharmacy or in perfumery	
195	Natural rubber in primary forms or in plates, sheets	
197	Unmanufactured tobacco	
199	Other raw vegetable materials, n.e.c.	
221	Raw Milk	
231	Eggs	
294	Raw wool, animal hair	
295	Raw skins and hides	
311	Wood (Golia)	
321	Natural gums and resins	
324	Parts of plants (ornamental purposes)	
325	Vegetable products n.e.c.	
412	Fish, fresh or chilled	
1201	Crude petroleum oil	
1410	Iron ore	
1513	Stone, granite	
1520	Gypsom, limestone flux	
1531	Natural sands	
1532	Gravel, crushed stone, powder of stone	
1533	Bitumen and asphalt, natural	
1540	Clays	
1620	Salt	
1633	Chalk and dolomite	
1800	Natural water	
2111	Meat of mammals, fresh or chilled	
2112	Meat of poultry, fresh or chilled	
2115	Edible offal of mammals, fresh, chilled or frozen	
2134	Vegetables, pulses and potatoes, preserved by acetic acid	
2143	Fruit juices	
2149	Other preserved fruit and nuts (except by sugar)	
2153	Vegetable oils, crude	
2154	Vegetable oils, refined	
2159	Other animal and vegetable oils and fats, refined, n.e.c.	
2171	Oil-cake (Pina) and other solid residues	
2211	Processed liquid milk	
2212	Cream, fresh	
2221	Milk and cream in solid forms	
2222	Milk and cream, other than in solid forms	
2224	Butter and other fats and oils derived from milk	
2225	Cheese, fresh or processed	
2227	Ice cream and other edible ice	
2229	Dairy products n.e.c.	
2311	Wheat and meslin flour	
2312	Other cereal flours	
2316	Rice, semi- or wholly milled, or husked	
2317	Other vegetable flours and meals	
2318	Mixes and doughs for the preparation of bakers' wares	
2321	Glucose and glucose syrup, it's syrups	
2322	Starch, dextrins and other modified starches	
2342	Gingerbread and the like; sweet biscuits; waffles and wafers	
2351	Raw cane or beet sugar	
2352	Gud and sakhhar	
2353	Sugar	
2354	Molasses, Khudo	
2362	Cocoa butter, fat and oil	
2364	Cocoa powder, sweetened	
2365	Chocolate and cocoa (bulk form)	
2366	Chocolate and cocoa (other than bulk form)	
2391	Coffee and tea	
2392	Spices and aromatics, processed	
2399	Other food products (yeasts, baking powders etc)	
2411	Undenature ethyl alcohol	
2413	Alcohol	
2423	Wine	
2432	Malt, whether or not roasted	
2441	Bottled waters	
2509	Other refined tobacco	
2611	Raw silk (not thrown)	
2613	Wool, carbonized, not carded or combed	
2616	Cotton, carded or combed	
2617	Lokta & argeli, resha of jute	
2621	Synthetic staple fibres	
2631	Silk yarn	
2632	Woolen yarn	
2635	Cotton sewing thread	
2636	Cotton yarn (other than sewing thread)	
2638	Yarn of zute, sutali	
2641	Fibers	
2642	Yarn of man-made filaments	
2661	Woven fabrics of cotton	
2663	Thread	
2669	Other woven fabrics of cotton	
2671	Ployester cloth	
2679	Other woven fabrics of man-made staple fibres	
2689	Woven fabrics (including narrow fabrics) of glass fibres	
2711	Blankets and travelling rugs	
2715	Sacks and bags	
2716	Tarpaulins, sails for boats etc.	
2718	Pillows, sleeping bags, Quilts	
2719	Life-jackets, life-belts, and similar cleaning cloths	
2721	Carpets and other textile floor coverings, knotted	
2732	Net of clothes	
2791	Tulles, lace, and embroidery	
2799	Other textile articles	
2821	Panty hose, socks and other hosiery	
2824	Products of readymade leather	
2912	Processed leather	
2913	Other leather, without hair on	
2933	Footwear with uppers of leather	
2960	Parts of footwear	
3110	Chiran wood	
3121	Wood stripes	
3122	Wood wool; wood flour	
3123	Wood in chips or particles	
3141	Plywood	
3142	Sunmica	
3144	Fibreboard of wood or other ligneous materials	
3151	Vaneer sheets	
3152	Densified wood	
3160	Builders' joinery and carpentry of wood	
3170	Packing cases, drums and similar packings, of wood	
3191	Other products of wood	
3192	Articles of cork and straw	
3211	Pulps of wood	
3212	Newsprint, hand-made paper	
3213	Cigarette Paper	
3214	Processed paper and paperboard	
3215	Sacks and bags of paper	
3219	Other paper and paperboard products	
3251	Atlases, maps or charts	
3253	Printed postcards	
3262	Trade advertising material	
3270	Registers, account books, notebooks	
3280	Printing plates and composed type	
3310	Fly ash (kharani), patthar koila	
3334	Kerosene	
3337	Fuel oils n.e.c.	
3338	Lubricating petroleum oils	
3350	Greeze	
3411	Carbon black	
3412	Palm fatty acid	
3413	Alcohols, phenols, and their derivatives	
3421	Hydrogen, nitrogen, oxygen, carbon dioxide	
3422	Zinc oxide; zinc peroxide	
3423	Chemical elements n.e.c.	
3427	Sodium silicate, cyanides, and cyanates	
3434	Colouring matter n.e.c.	
3440	Khoto, terpenic oils, rosin oils	
3452	Sulphur	
3455	Inedible mixtures of animal or vegetable fats or oils	
3457	Glycerol	
3461	Mineral or chemical fertilizers, nitrogenous	
3462	Mineral or chemical fertilizers, phosphatic	
3463	Mineral or chemical fertilizers, potassic	
3465	Other fertilizers (Ammonia, Ammonium chloride etc.)	
3466	Insecticides, fungicides, and disinfectants	
3471	Polymers of ethylene, in primary forms	
3472	Polymers of styrene, in primary forms	
3473	Polymers of vinyl chloride, in primary forms	
3474	Primary form of polyster	
3479	Other plastics in primary forms	
3480	Synthetic rubber	
3511	Paints and varnishes	
3512	Artists', students' or signboard painters' colours	
3513	Printing ink	
3514	Writing or drawing ink and other inks	
3524	Sugars, chemically pure n.e.c.	
3525	Provitamins, vitamins and antibiotics	
3529	Articles for medical or surgical purposes	
3532	Soap and detergents, perfume and toilet preparations	
3542	Mobicol, fabicol, glues	
3543	Transformer oil, prepared additives for mineral oils	
3549	Other chemical products n.e.c.	
3611	Tyres and tubes of rubber	
3621	Reclaimed rubber	
3622	Thread, sheets, strip, rods, of rubber	
3623	Tubes, pipes of rubber	
3625	Rubberized textile fabrics	
3626	Articles of apparel (gloves) of rubber	
3627	Articles of vulcanized rubber	
3631	Plastic granules and profile shapes of plastics	
3632	Tubes, pipes and fittings, of plastics	
3633	Plates, film, of plastics, not self-adhesive	
3639	Other plates, sheets, film, of plastics	
3641	Sacks and bags, of plastics	
3649	Lids, caps and other closures, of plastics	
3691	Floor coverings of plastics	
3692	Self-adhesive plates, sheets, film of plastics	
3694	Household articles of plastic	
3696	Electrical parts of plastic	
3699	Articles of plastics n.e.c.	
3711	Unworked glass, flat glass; glass mirrors	
3712	Glass fibres	
3719	Other glass articles (bottle, jar etc.)	
3731	Tiles, bricks of ceramic goods of siliceous earth	
3735	Tiles, bricks of non-refractory ceramic goods	
3741	Plasters	
3742	Lime	
3743	Cement clinkers	
3744	Cement	
3745	Calcinated dolomite	
3754	Tiles, bricks of cement and concrete	
3756	Other articles of cement and concrete	
3769	Monumental or building stone	
3811	Seats	
3812	Other furniture, of a kind used in offices	
3814	Other furniture n.e.c	
3823	Industrial diamonds	
3824	Jewellery and other articles of precious metal	
3891	Pens, pencils, stamps	
3892	Umbrellas, sun-umbrellas, buttons	
3897	Human hair; wool or other animal hair	
3899	Other articles; Brooms, brushes, combs etc.	
3911	Raw offal, inedible	
3912	Rice Bran	
3913	Residues of starch manufacture and similar residues	
3921	Textile wastes	
3927	Waste and scrap of plastics	
3928	Sawdust and wood waste and scrap	
3929	Other non-metal waste or scrap	
3931	Slag, granulated slag	
3932	Ash and residue containing metals	
3933	Waste and scrap of precious metal	
3934	Ferrous waste and scrap	
3935	Remelting scrap ingots of iron or steel	
3936	Waste and scrap of other metals	
3937	Vessels and other floating structures for breaking up	
4111	Primary materials of the iron and steel industry	
4112	Crude steel	
4122	Flat-rolled products of steel, not further worked than cold-rolled	
4123	Flat-rolled products of steel, further worked than hot-rolled	
4124	Bars and rods, hot-rolled, of iron or steel	
4125	Angles, shapes not further worked than hot-rolled of iron	
4126	Wire of iron or alloy steel	
4127	Hollow drill bars and rods of steel	
4128	Tubes, pipes and hollow profiles, of steel	
4129	Tubes, pipes and hollow profiles of cast-iron and cast-steel	
4131	Silver	
4132	Gold	
4141	Copper, unwrought; copper mattes; cement copper	
4142	Nickel Products	
4143	Aluminium, unwrought; alumina	
4144	Lead, zinc and tin, unwrought	
4151	Semi-finished products of copper or copper alloys	
4152	Semi-finished products of nickel or nickel alloys	
4153	Semi-finished products of aluminium or aluminium alloys	
4154	Semi-finished products of lead, zinc and tin or their alloys	
4211	Bridges, bridge sections, towers of iron or steel	
4212	Doors, windows and their frames of iron, steel or aluminium	
4219	Parts of structures, of iron, steel or aluminium	
4221	Reservoirs, tanks, and similar containers	
4291	Domestic metal products	
4292	Hand Tools	
4293	Tanks, casks, drums, cans, boxes	
4294	Metal fasteners, springs and articles made from metal wire	
4295	Welding rods, rounder and similar products	
4299	Other metal goods	
4311	Internal combustion piston engines, other than for motor vehicle	
4312	Internal combustion engines of a kind used for motor vehicle	
4323	Air or vacuum pumps; air or other gas compressors	
4331	Ball or roller bearings	
4332	Gears, Bearing	
4393	General-purpose machinery n.e.c.	
4413	Milking and dairy machines	
4421	Machine-tools for working material	
4452	Parts for the goods of class 4451	
4481	Domestic electric appliances	
4482	Domestic cooking and heating equipment	
4491	Other special-purpose machinery	
4611	Electric motors, generators and the like	
4612	Electrical transformers, static converters and inductors	
4613	Parts for the goods of classes 4611 and 4612	
4621	Electricity distribution or control apparatus	
4622	Parts of electricity distribution or control apparatus	
4631	Insulated winding wire	
4632	Coaxial cable and other coaxial electric conductors	
4651	Electric filament or discharge lamps	
4653	Lighting equipment	
4715	Diodes, transistors and similar semi-conductor devices	
4740	Parts for the goods of classes 4721 to 4733 and 4822	
4824	Instruments & apparatus for measuring electrical quantities	
4912	Parts and accessories n.e.c. of motor vehicles	
4922	Trailers and semi-trailers; containers	
9990	Other]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V55" name="RAW_UNIT" files="F8" dcml="0" intrvl="discrete">
      <location StartPos="10" EndPos="11" width="2" RecSegNo="1"/>
      <labl>
        Raw material unit
      </labl>
      <qstn>
        <qstnLit>
          Unit of measurement of the corresponding raw material
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Qtl.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Liter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          000' Liter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          KWH
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sq.ft.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Meter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Sq.Meter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Bora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Piece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          000' pcs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Q.ft.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Packet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Gram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Pair
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Cub.meter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Feet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Ton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Dozen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Pad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ream
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          OneM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Tola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Trailer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Kori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Roll
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          New-3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          New-4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          New-5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          New-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V56" name="PQ_TOTAL" files="F8" dcml="0" intrvl="contin">
      <location StartPos="12" EndPos="19" width="8" RecSegNo="1"/>
      <labl>
        Total annual quantity purchase
      </labl>
      <qstn>
        <qstnLit>
          Total annual quantity purchase of the raw material per unit.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="52099050"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V57" name="VP_TOTAL" files="F8" dcml="0" intrvl="contin">
      <location StartPos="20" EndPos="27" width="8" RecSegNo="1"/>
      <labl>
        Total annual amount purchase (Rs. in thousand)
      </labl>
      <qstn>
        <qstnLit>
          Total annual amount purchase of the raw material in Rs. thousand.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="10859823"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V58" name="PQ_NEPAL" files="F8" dcml="0" intrvl="contin">
      <location StartPos="28" EndPos="35" width="8" RecSegNo="1"/>
      <labl>
        Annual quantity purchase in Nepal
      </labl>
      <qstn>
        <qstnLit>
          Total annual quantity purchase of the raw material per unit in Nepal
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="52099050"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V59" name="VP_NEPAL" files="F8" dcml="0" intrvl="contin">
      <location StartPos="36" EndPos="42" width="7" RecSegNo="1"/>
      <labl>
        Annual amount purchased in Nepal (Rs. in thousand)
      </labl>
      <qstn>
        <qstnLit>
          Total annual amount purchase of the raw material i(n Rs. thousand) in Nepal.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1671994"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V60" name="P_COUNTRY" files="F8" dcml="0" intrvl="discrete">
      <location StartPos="43" EndPos="45" width="3" RecSegNo="1"/>
      <labl>
        Raw material purchase country
      </labl>
      <qstn>
        <qstnLit>
          Give name of name of country purchase (for other country).
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NotAppl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Sri Lanka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Maldhives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Bhutan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Aland Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Albania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          American Samoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Andorra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Angola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Anguilla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Antigua and Barbuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Aruba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Azerbaijan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Bahamas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Bahrain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Barbados
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Belarus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Belgium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Belize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Benin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Bermuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Bolivia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Bosnia and Herzegovina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Botswana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Bouvet Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          British Indian Ocean Territory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Brunei Darussalam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Bulgaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Cambodia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Cape Verde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Cayman Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Central African Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Chile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Hong Kong, Special Administrative Region of China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Macao, Special Administrative Region of China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Christmas Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Cocos (Keeling) Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Comoros
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Congo (Brazzaville)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Congo, Democratic Republic of the
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Cook Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Costa Rica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Côte d'Ivoire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Croatia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Cyprus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Czech Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Djibouti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Dominica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Dominican Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Ecuador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          El Salvador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Eritrea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Estonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Falkland Islands (Malvinas)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Faroe Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Finland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          French Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          French Polynesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          French Southern Territories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Gabon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Gambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          Georgia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          Gibraltar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Greenland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Grenada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Guadeloupe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Guam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Guernsey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Guyana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Haiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Heard Island and Mcdonald Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Holy See (Vatican City State)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Hungary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Iceland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          Iran, Islamic Republic of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          Ireland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Isle of Man
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Jamaica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Jersey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          Kazakhstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          Kiribati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Korea, Democratic People's Republic of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Korea, Republic of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Kuwait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Lao PDR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Latvia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          Lesotho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          Libyan Arab Jamahiriya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Liechtenstein
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Lithuania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Luxembourg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Macedonia, Republic of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Madagascar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Malaysia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          Malta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Marshall Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Martinique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Mauritania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Mauritius
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Mayotte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          Micronesia, Federated States of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          Moldova
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          Monaco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Mongolia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          Montenegro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Montserrat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Myanmar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          Nauru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          Netherlands Antilles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          New Caledonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Nicaragua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Niger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          Niue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          Norfolk Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          Northern Mariana Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          Oman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          Palau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          Palestinian Territory, Occupied
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Panama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          Peru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Pitcairn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          Portugal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Puerto Rico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          Qatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Réunion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Russian Federation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Saint-Barthélemy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          Saint Helena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          Saint Kitts and Nevis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          Saint Lucia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Saint-Martin (French part)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          Saint Pierre and Miquelon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          Saint Vincent and Grenadines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Samoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          San Marino
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          Serbia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          Seychelles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Singapore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Slovakia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Slovenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Solomon Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Somalia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          South Georgia and the South Sandwich Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Suriname *
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Svalbard and Jan Mayen Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Swaziland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Syrian Arab Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Taiwan, Republic of China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Tajikistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Tanzania *, United Republic of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Timor-Leste
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Togo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Tokelau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Turkmenistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Turks and Caicos Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          Tuvalu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          Ukraine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          United States of America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          United States Minor Outlying Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Uzbekistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          Vanuatu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          Venezuela (Bolivarian Republic of)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          Viet Nam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Virgin Islands, US
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Wallis and Futuna Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Western Sahara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Zimbabwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Pacific
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Latin America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Middle East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          North America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          South America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          Third country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V61" name="PQ_FOREIGN" files="F8" dcml="0" intrvl="contin">
      <location StartPos="46" EndPos="53" width="8" RecSegNo="1"/>
      <labl>
        Annual quantity purchase in other country
      </labl>
      <qstn>
        <qstnLit>
          Total Annual quantity purchase of the raw material in other country
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="20918593"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V62" name="VP_FOREIGN" files="F8" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="60" width="7" RecSegNo="1"/>
      <labl>
        Annual amount purchase in other country
      </labl>
      <qstn>
        <qstnLit>
          Total Annual amount purchase of the raw material in other country (in Rs. thousands).
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9438553"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V63" name="DCODE" files="F9" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	District	
1	 Taplejung	
2	 Panchthar	
3	 Ilam	
4	 Jhapa	
5	 Morang	
6	 Sunsari	
7	 Dhankuta	
8	 Terhathum	
9	 Sankhuwasabha	
10	 Bhojpur	
13	 Khotang	
14	 Udayapur	
15	 Saptari	
16	 Siraha	
17	 Dhanusa	
18	 Mahottari	
19	 Sarlahi	
21	 Ramechhap	
22	 Dolakha	
23	 Sindhupalchok	
24	 Kavre	
25	 Lalitpur	
26	 Bhaktapur	
27	 Kathmandu	
28	 Nuwakot	
30	 Dhading	
31	 Makwanpur	
32	 Rautahat	
33	 Bara	
34	 Parsa	
35	 Chitawan	
36	 Gorkha	
37	 Lamjung	
38	 Tanahu	
39	 Syangja	
40	 Kaski	
42	 Mustang	
43	 Myagdi	
44	 Parbat	
45	 Baglung	
46	 Gulmi	
47	 Palpa	
48	 Nawalparasi	
49	 Rupandehi	
50	 Kapilbastu	
51	 Arghakhanchi	
52	 Pyuthan	
53	 Rolpa	
54	 Rukum	
56	 Dang	
57	 Banke	
58	 Bardiya	
59	 Surkhet	
60	 Dailekh	
61	 Jajarkot	
63	 Jumla	
64	 Kalikot	
67	 Bajura	
68	 Bajhang	
70	 Doti	
71	 Kailali	
72	 Kanchanpur	
73	 Dadeldhura	
74	 Baitadi	
75	 Darchula]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V64" name="FORMNO" files="F9" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V65" name="PROD_ID" files="F9" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="9" width="4" RecSegNo="1"/>
      <labl>
        Production Code
      </labl>
      <qstn>
        <qstnLit>
          Write down the production item.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="170" max="9995"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        All the goods produced by the establishment should be mentioned here. it will be recoded as per CPC codes.
      </txt>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Pulses (dried leguminous vegetables)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Plants used in pharmacy or in perfumery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Honey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1513
        </catValu>
        <labl>
          Stone, granite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1531
        </catValu>
        <labl>
          Sands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1532
        </catValu>
        <labl>
          Gravel, crushed stone, powder of stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1533
        </catValu>
        <labl>
          Bitumen and asphalt, natural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1633
        </catValu>
        <labl>
          Chalk and dolomite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Meat of poultry, fresh or chilled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2117
        </catValu>
        <labl>
          Preserves and preparations of meat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2132
        </catValu>
        <labl>
          Vegetable juices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2134
        </catValu>
        <labl>
          Vegetables, pulses and potatoes, preserved by acetic acid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2139
        </catValu>
        <labl>
          Other prepared and preserved vegetables, pulses and potatoes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2141
        </catValu>
        <labl>
          Dried fruit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2143
        </catValu>
        <labl>
          Fruit juices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2149
        </catValu>
        <labl>
          Other prepared and preserved fruit and nuts (except by sugar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2153
        </catValu>
        <labl>
          Vegetable oils, crude
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2154
        </catValu>
        <labl>
          Vegetable oils, refined
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2159
        </catValu>
        <labl>
          Other animal and vegetable oils and fats, refined, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2171
        </catValu>
        <labl>
          Oil-cake (Pina) and other solid residues
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Processed liquid milk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Cream, fresh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2221
        </catValu>
        <labl>
          Milk and cream in solid forms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2222
        </catValu>
        <labl>
          Milk and cream, other than in solid forms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2223
        </catValu>
        <labl>
          Yoghurt and other fermented or acidified milk and cream
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2224
        </catValu>
        <labl>
          Butter and other fats and oils derived from milk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2225
        </catValu>
        <labl>
          Cheese, fresh or processed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2227
        </catValu>
        <labl>
          Ice cream and other edible ice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2229
        </catValu>
        <labl>
          Dairy products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Wheat and meslin flour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Other cereal flours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Groats, meal and pellets of wheat and other cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2314
        </catValu>
        <labl>
          Other cereal grain products (including corn flakes)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2316
        </catValu>
        <labl>
          Rice, semi- or wholly milled, or husked
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2318
        </catValu>
        <labl>
          Mixes and doughs for the preparation of bakers' wares
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2321
        </catValu>
        <labl>
          Glucose and glucose syrup, it's syrups
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2331
        </catValu>
        <labl>
          Preparations used in animal feeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2341
        </catValu>
        <labl>
          Crispbread; rusks, toasted bread
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2342
        </catValu>
        <labl>
          Gingerbread and the like; sweet biscuits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2343
        </catValu>
        <labl>
          Pastry goods and cakes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2349
        </catValu>
        <labl>
          Bread and other bakers wares
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2352
        </catValu>
        <labl>
          Gud and sakhhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2353
        </catValu>
        <labl>
          Sugar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2354
        </catValu>
        <labl>
          Molasses, Khudo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2365
        </catValu>
        <labl>
          Chocolate and cocoa (bulk form)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2366
        </catValu>
        <labl>
          Chocolate and cocoa (other than bulk form)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2367
        </catValu>
        <labl>
          Sugar confectionery (mishri)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2371
        </catValu>
        <labl>
          Uncooked pasta and noodles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2372
        </catValu>
        <labl>
          Cooked pasta and readymade noodles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2391
        </catValu>
        <labl>
          Coffee and tea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2392
        </catValu>
        <labl>
          Spices and aromatics, processed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2399
        </catValu>
        <labl>
          Other food products (yeasts, baking powders etc)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Undenature Ethyl Alcohol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2413
        </catValu>
        <labl>
          Alcohol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2422
        </catValu>
        <labl>
          Other wine of fresh grapes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2431
        </catValu>
        <labl>
          Beer made from malt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2441
        </catValu>
        <labl>
          Bottled waters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2449
        </catValu>
        <labl>
          Squash, coca-cola, phanta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Cigars and cigarettes of tobacco or tobacco substitute
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2509
        </catValu>
        <labl>
          Other refined tobacco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2616
        </catValu>
        <labl>
          Cotton, carded or combed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2632
        </catValu>
        <labl>
          Woolen yarn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2635
        </catValu>
        <labl>
          Cotton sewing thread
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2636
        </catValu>
        <labl>
          Cotton yarn (other than sewing thread)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2638
        </catValu>
        <labl>
          Yarn of zute, sutali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2641
        </catValu>
        <labl>
          Fibers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2642
        </catValu>
        <labl>
          Yarn of man-made filaments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2653
        </catValu>
        <labl>
          Woven fabrics of wool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2656
        </catValu>
        <labl>
          Woven fabrics of flax
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2657
        </catValu>
        <labl>
          Woven fabrics of jute
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2659
        </catValu>
        <labl>
          Woven fabrics of paper yarn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2661
        </catValu>
        <labl>
          Woven fabrics of cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2669
        </catValu>
        <labl>
          Other woven fabrics of cotton (dhaka)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2671
        </catValu>
        <labl>
          Ployester cloth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2679
        </catValu>
        <labl>
          Other woven fabrics of man-made staple fibres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2711
        </catValu>
        <labl>
          Blankets and travelling rugs (except electric blankets)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2712
        </catValu>
        <labl>
          Bed, table, toilet and kitchen linen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2715
        </catValu>
        <labl>
          Sacks and bags
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2716
        </catValu>
        <labl>
          Tarpaulins, sails for boats etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2718
        </catValu>
        <labl>
          Pillows, sleeping bags etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2721
        </catValu>
        <labl>
          Carpets and other textile floor coverings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2732
        </catValu>
        <labl>
          Net of clothes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2791
        </catValu>
        <labl>
          Tulles, lace, and embroidery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2799
        </catValu>
        <labl>
          Other textile articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2819
        </catValu>
        <labl>
          Other knitted fabrics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2821
        </catValu>
        <labl>
          Panty hose, socks and other hosiery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2822
        </catValu>
        <labl>
          Wearing apparel, knitted or crocheted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2823
        </catValu>
        <labl>
          Wearing apparel of textile fabric
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2824
        </catValu>
        <labl>
          Products of readymade leather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2826
        </catValu>
        <labl>
          Hats and headgear
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2911
        </catValu>
        <labl>
          Metallized leather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2912
        </catValu>
        <labl>
          Processed leather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2913
        </catValu>
        <labl>
          Other leather, without hair on
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2922
        </catValu>
        <labl>
          Luggage, handbags and the like
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2929
        </catValu>
        <labl>
          Other articles of leather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2931
        </catValu>
        <labl>
          Waterproof footwear
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2933
        </catValu>
        <labl>
          Footwear with uppers of leather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2934
        </catValu>
        <labl>
          Footwear with uppers of textile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2949
        </catValu>
        <labl>
          Other sports footwear, except skating boots
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2960
        </catValu>
        <labl>
          Parts of footwear
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Chiran wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3121
        </catValu>
        <labl>
          Wood stripes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3141
        </catValu>
        <labl>
          Plywood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3142
        </catValu>
        <labl>
          Sunmica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3143
        </catValu>
        <labl>
          Particle board and similar board of wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3151
        </catValu>
        <labl>
          Vaneer sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3152
        </catValu>
        <labl>
          Densified wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3160
        </catValu>
        <labl>
          Builders' joinery and carpentry of wood'
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3170
        </catValu>
        <labl>
          Packing cases, drums and similar packings, of wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3191
        </catValu>
        <labl>
          Other products of wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3192
        </catValu>
        <labl>
          Articles of cork and straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3212
        </catValu>
        <labl>
          Newsprint, hand-made paper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3214
        </catValu>
        <labl>
          Processed paper and paperboard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3215
        </catValu>
        <labl>
          Sacks and bags of paper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3219
        </catValu>
        <labl>
          Other paper and paperboard products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3221
        </catValu>
        <labl>
          Educational textbooks, in print
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3223
        </catValu>
        <labl>
          Directories, in print
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3230
        </catValu>
        <labl>
          Daily newspapers and periodicals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3249
        </catValu>
        <labl>
          Other newspapers and periodicals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3252
        </catValu>
        <labl>
          Music, printed or in manuscript
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3253
        </catValu>
        <labl>
          Printed postcards
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3261
        </catValu>
        <labl>
          Unused postage, revenue or similar stamps
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3262
        </catValu>
        <labl>
          Trade advertising material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3263
        </catValu>
        <labl>
          Calendars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3270
        </catValu>
        <labl>
          Registers, account books, notebooks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3280
        </catValu>
        <labl>
          Printing plates and composed type
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Fly ash (kharani), patthar koila
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3333
        </catValu>
        <labl>
          Other light petroleum oils
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3338
        </catValu>
        <labl>
          Lubricating petroleum oils
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3350
        </catValu>
        <labl>
          Greeze
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3412
        </catValu>
        <labl>
          Palm fatty acid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3413
        </catValu>
        <labl>
          Alcohols, phenols, and their derivatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3421
        </catValu>
        <labl>
          Hydrogen, nitrogen, oxygen, carbon dioxide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3423
        </catValu>
        <labl>
          Chemical elements n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3440
        </catValu>
        <labl>
          Khoto, terpenic oils, rosin oils
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3456
        </catValu>
        <labl>
          Precious or semi-precious stones, unworked
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3457
        </catValu>
        <labl>
          Glycerol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3461
        </catValu>
        <labl>
          Mineral or chemical fertilizers, nitrogenous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3465
        </catValu>
        <labl>
          Other fertilizers (Ammonia, Ammonium chloride etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3466
        </catValu>
        <labl>
          Insecticides, fungicides, and disinfectants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3473
        </catValu>
        <labl>
          Polymers of vinyl chloride, in primary forms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3511
        </catValu>
        <labl>
          Paints and varnishes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3512
        </catValu>
        <labl>
          Artists', students' or signboard painters' colours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3513
        </catValu>
        <labl>
          Printing ink
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3525
        </catValu>
        <labl>
          Provitamins, vitamins and antibiotics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3527
        </catValu>
        <labl>
          Other pharmaceutical products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3529
        </catValu>
        <labl>
          Articles for medical or surgical purposes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3532
        </catValu>
        <labl>
          Soap and detergents, perfume and toilet preparations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3533
        </catValu>
        <labl>
          Cleaning and polishing preparations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3542
        </catValu>
        <labl>
          Mobicol, Fabicol, Glues
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3549
        </catValu>
        <labl>
          Other chemical products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3611
        </catValu>
        <labl>
          Tyres and tubes of rubber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3622
        </catValu>
        <labl>
          Thread, sheets, rods, of rubber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3627
        </catValu>
        <labl>
          Articles of vulcanized rubber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3631
        </catValu>
        <labl>
          Plastic granules and profile shapes of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3632
        </catValu>
        <labl>
          Tubes, pipes and fittings, of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3633
        </catValu>
        <labl>
          Plates, film, of plastics, not self-adhesive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3639
        </catValu>
        <labl>
          Other plates, sheets, film, of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3641
        </catValu>
        <labl>
          Sacks and bags, of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3649
        </catValu>
        <labl>
          Lids, caps and other closures, of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3691
        </catValu>
        <labl>
          Floor coverings of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3692
        </catValu>
        <labl>
          Self-adhesive plates, sheets, film of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3693
        </catValu>
        <labl>
          Basin and sanitary wares of plastic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3694
        </catValu>
        <labl>
          Household articles of plastic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3695
        </catValu>
        <labl>
          Builders' ware of plastics n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3696
        </catValu>
        <labl>
          Electrical parts of plastic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3699
        </catValu>
        <labl>
          Articles of plastics n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3711
        </catValu>
        <labl>
          Glasses and mirrors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3712
        </catValu>
        <labl>
          Glass fibres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3719
        </catValu>
        <labl>
          Other glass articles (bottle, jar etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3722
        </catValu>
        <labl>
          Ceramic household and ornamental articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3732
        </catValu>
        <labl>
          Refractory bricks, blocks, and tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3734
        </catValu>
        <labl>
          Unfired refractory products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3735
        </catValu>
        <labl>
          Tiles, bricks of non-refractory ceramic goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3737
        </catValu>
        <labl>
          Ceramic flags and wall tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3742
        </catValu>
        <labl>
          Lime
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3743
        </catValu>
        <labl>
          Cement clinkers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3744
        </catValu>
        <labl>
          Cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3745
        </catValu>
        <labl>
          Calcinated dolomite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3754
        </catValu>
        <labl>
          Tiles, bricks of cement and concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3756
        </catValu>
        <labl>
          Other articles of cement and concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3769
        </catValu>
        <labl>
          Monumental or building stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3811
        </catValu>
        <labl>
          Seats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3812
        </catValu>
        <labl>
          Other furniture used in offices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3813
        </catValu>
        <labl>
          Other wooden furniture used in the kitchen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3814
        </catValu>
        <labl>
          Other furniture n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3824
        </catValu>
        <labl>
          Jewellery and other articles of precious metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3891
        </catValu>
        <labl>
          Pens, pencils
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3892
        </catValu>
        <labl>
          Umbrellas, sun-umbrellas, buttons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3899
        </catValu>
        <labl>
          Other articles; Brooms, brushes, combs etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3912
        </catValu>
        <labl>
          Rice Bran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3913
        </catValu>
        <labl>
          Residues of starch manufacture and similar residues
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3914
        </catValu>
        <labl>
          Other waste of sugar manufacture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3918
        </catValu>
        <labl>
          Tobacco refuse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3925
        </catValu>
        <labl>
          Waste, parings and scrap of rubber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3927
        </catValu>
        <labl>
          Waste and scrap of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3928
        </catValu>
        <labl>
          Sawdust and wood waste and scrap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3931
        </catValu>
        <labl>
          Slag, granulated slag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3934
        </catValu>
        <labl>
          Ferrous waste and scrap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3936
        </catValu>
        <labl>
          Waste and scrap of other metals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3999
        </catValu>
        <labl>
          Other wastes n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4121
        </catValu>
        <labl>
          Flat-rolled products of steel, not further worked than hot-r
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4123
        </catValu>
        <labl>
          Flat-rolled products of steel, further worked than hot-rolle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4124
        </catValu>
        <labl>
          Bars and rods, hot-rolled, of iron or steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4126
        </catValu>
        <labl>
          Wire of iron or alloy steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4127
        </catValu>
        <labl>
          Hollow drill bars and rods of steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4128
        </catValu>
        <labl>
          Tubes, pipes and hollow profiles, of steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4129
        </catValu>
        <labl>
          Tubes, pipes and hollow profiles of cast-iron and cast-steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4131
        </catValu>
        <labl>
          Silver
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4151
        </catValu>
        <labl>
          Semi-finished products of copper or copper alloys
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4152
        </catValu>
        <labl>
          Semi-finished products of nickel or nickel alloys
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4153
        </catValu>
        <labl>
          Semi-finished products of aluminium or aluminium alloys
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4154
        </catValu>
        <labl>
          Semi-finished products of lead, zinc and tin or their alloys
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4211
        </catValu>
        <labl>
          Bridges, bridge sections, towers of iron or steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4212
        </catValu>
        <labl>
          Doors, windows and their frames of iron, steel or aluminium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4219
        </catValu>
        <labl>
          Parts of structures, of iron, steel or aluminium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4221
        </catValu>
        <labl>
          Reservoirs, tanks, and similar containers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4222
        </catValu>
        <labl>
          Containers for liquefied gas, of iron, steel or aluminium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4291
        </catValu>
        <labl>
          Domestic metal products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4292
        </catValu>
        <labl>
          Hand tools
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4293
        </catValu>
        <labl>
          Tanks, casks, drums, cans, boxes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4294
        </catValu>
        <labl>
          Metal fasteners, springs and articles made from metal wire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4299
        </catValu>
        <labl>
          Other metal goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4314
        </catValu>
        <labl>
          Steam and other vapour turbines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4324
        </catValu>
        <labl>
          Taps, cocks, valves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4325
        </catValu>
        <labl>
          Parts for the goods of classes 4321 to 4324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4332
        </catValu>
        <labl>
          Gears, Bearing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4411
        </catValu>
        <labl>
          Soil machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4412
        </catValu>
        <labl>
          Harvester and threshers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4413
        </catValu>
        <labl>
          Milking and dairy machines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4414
        </catValu>
        <labl>
          Agricultural tractors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4419
        </catValu>
        <labl>
          Other agricultural machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4421
        </catValu>
        <labl>
          Machine-tools for working material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4422
        </catValu>
        <labl>
          Machine-tools for working stone, ceramics and the like
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4444
        </catValu>
        <labl>
          Machine for washing, crushing, and grinding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4451
        </catValu>
        <labl>
          Machinery for the food, beverage and tobacco industries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4481
        </catValu>
        <labl>
          Domestic electric appliances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4482
        </catValu>
        <labl>
          Domestic cooking and heating equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4612
        </catValu>
        <labl>
          Electrical transformers, static converters and inductors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4613
        </catValu>
        <labl>
          Parts for the goods of classes 4611 and 4612
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4621
        </catValu>
        <labl>
          Electricity distribution or control apparatus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4622
        </catValu>
        <labl>
          Parts of electricity distribution or control apparatus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4631
        </catValu>
        <labl>
          Insulated winding wire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4641
        </catValu>
        <labl>
          Primary cells and primary batteries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4651
        </catValu>
        <labl>
          Electric filament or discharge lamps
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4691
        </catValu>
        <labl>
          Electrical ignition equipment used for internal combustion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4696
        </catValu>
        <labl>
          Parts for the goods of subclasses 46910, 46921 and 46929
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4715
        </catValu>
        <labl>
          Diodes, transistors and similar semi-conductor devices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4721
        </catValu>
        <labl>
          Transmission apparatus for radio-broadcasting or television
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4731
        </catValu>
        <labl>
          Radio broadcast and television receivers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4911
        </catValu>
        <labl>
          Motor vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4912
        </catValu>
        <labl>
          Parts and accessories n.e.c. of motor vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4921
        </catValu>
        <labl>
          Bodies for motor vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4922
        </catValu>
        <labl>
          Trailers and semi-trailers; containers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9990
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Production	
170	Pulses (dried leguminous vegetables)	
193	Plants used in pharmacy or in perfumery	
291	Honey	
1513	Stone, granite	
1531	Sands	
1532	Gravel, crushed stone, powder of stone	
1533	Bitumen and asphalt, natural	
1633	Chalk and dolomite	
2112	Meat of poultry, fresh or chilled	
2117	Preserves and preparations of meat	
2132	Vegetable juices	
2134	Vegetables, pulses and potatoes, preserved by acetic acid	
2139	Other prepared and preserved vegetables, pulses and potatoes	
2141	Dried fruit	
2143	Fruit juices	
2149	Other prepared and preserved fruit and nuts (except by sugar)	
2153	Vegetable oils, crude	
2154	Vegetable oils, refined	
2159	Other animal and vegetable oils and fats, refined, n.e.c.	
2171	Oil-cake (Pina) and other solid residues	
2211	Processed liquid milk	
2212	Cream, fresh	
2221	Milk and cream in solid forms	
2222	Milk and cream, other than in solid forms	
2223	Yoghurt and other fermented or acidified milk and cream	
2224	Butter and other fats and oils derived from milk	
2225	Cheese, fresh or processed	
2227	Ice cream and other edible ice	
2229	Dairy products n.e.c.	
2311	Wheat and meslin flour	
2312	Other cereal flours	
2313	Groats, meal and pellets of wheat and other cereals	
2314	Other cereal grain products (including corn flakes)	
2316	Rice, semi- or wholly milled, or husked	
2318	Mixes and doughs for the preparation of bakers' wares	
2321	Glucose and glucose syrup, it's syrups	
2331	Preparations used in animal feeding	
2341	Crispbread; rusks, toasted bread	
2342	Gingerbread and the like; sweet biscuits	
2343	Pastry goods and cakes	
2349	Bread and other bakers' wares	
2352	Gud and sakhhar	
2353	Sugar	
2354	Molasses, Khudo	
2365	Chocolate and cocoa (bulk form)	
2366	Chocolate and cocoa (other than bulk form)	
2367	Sugar confectionery (mishri)	
2371	Uncooked pasta and noodles	
2372	Cooked pasta and readymade noodles	
2391	Coffee and tea	
2392	Spices and aromatics, processed	
2399	Other food products (yeasts, baking powders etc)	
2411	Undenature Ethyl Alcohol	
2413	Alcohol	
2422	Other wine of fresh grapes	
2431	Beer made from malt	
2441	Bottled waters	
2449	Squash, coca-cola, phanta	
2502	Cigars and cigarettes of tobacco or tobacco substitute	
2509	Other refined tobacco	
2616	Cotton, carded or combed	
2632	Woolen yarn	
2635	Cotton sewing thread	
2636	Cotton yarn (other than sewing thread)	
2638	Yarn of zute, sutali	
2641	Fibers	
2642	Yarn of man-made filaments	
2653	Woven fabrics of wool	
2656	Woven fabrics of flax	
2657	Woven fabrics of jute	
2659	Woven fabrics of paper yarn	
2661	Woven fabrics of cotton	
2669	Other woven fabrics of cotton (dhaka)	
2671	Ployester cloth	
2679	Other woven fabrics of man-made staple fibres	
2711	Blankets and travelling rugs (except electric blankets)	
2712	Bed, table, toilet and kitchen linen	
2715	Sacks and bags	
2716	Tarpaulins, sails for boats etc.	
2718	Pillows, sleeping bags etc.	
2721	Carpets and other textile floor coverings	
2732	Net of clothes	
2791	Tulles, lace, and embroidery	
2799	Other textile articles	
2819	Other knitted fabrics	
2821	Panty hose, socks and other hosiery	
2822	Wearing apparel, knitted or crocheted	
2823	Wearing apparel of textile fabric	
2824	Products of readymade leather	
2826	Hats and headgear	
2911	Metallized leather	
2912	Processed leather	
2913	Other leather, without hair on	
2922	Luggage, handbags and the like	
2929	Other articles of leather	
2931	Waterproof footwear	
2933	Footwear with uppers of leather	
2934	Footwear with uppers of textile	
2949	Other sports footwear, except skating boots	
2960	Parts of footwear	
3110	Chiran wood	
3121	Wood stripes	
3141	Plywood	
3142	Sunmica	
3143	Particle board and similar board of wood	
3151	Vaneer sheets	
3152	Densified wood	
3160	Builders' joinery and carpentry of wood	
3170	Packing cases, drums and similar packings, of wood	
3191	Other products of wood	
3192	Articles of cork and straw	
3212	Newsprint, hand-made paper	
3214	Processed paper and paperboard	
3215	Sacks and bags of paper	
3219	Other paper and paperboard products	
3221	Educational textbooks, in print	
3223	Directories, in print	
3230	Daily newspapers and periodicals	
3249	Other newspapers and periodicals	
3252	Music, printed or in manuscript	
3253	Printed postcards	
3261	Unused postage, revenue or similar stamps	
3262	Trade advertising material	
3263	Calendars	
3270	Registers, account books, notebooks	
3280	Printing plates and composed type	
3310	Fly ash (kharani), patthar koila	
3333	Other light petroleum oils	
3338	Lubricating petroleum oils	
3350	Greeze	
3412	Palm fatty acid	
3413	Alcohols, phenols, and their derivatives	
3421	Hydrogen, nitrogen, oxygen, carbon dioxide	
3423	Chemical elements n.e.c.	
3440	Khoto, terpenic oils, rosin oils	
3456	Precious or semi-precious stones, unworked	
3457	Glycerol	
3461	Mineral or chemical fertilizers, nitrogenous	
3465	Other fertilizers (Ammonia, Ammonium chloride etc.)	
3466	Insecticides, fungicides, and disinfectants	
3473	Polymers of vinyl chloride, in primary forms	
3511	Paints and varnishes	
3512	Artists', students' or signboard painters' colours	
3513	Printing ink	
3525	Provitamins, vitamins and antibiotics	
3527	Other pharmaceutical products	
3529	Articles for medical or surgical purposes	
3532	Soap and detergents, perfume and toilet preparations	
3533	Cleaning and polishing preparations	
3542	Mobicol, Fabicol, Glues	
3549	Other chemical products n.e.c.	
3611	Tyres and tubes of rubber	
3622	Thread, sheets, rods, of rubber	
3627	Articles of vulcanized rubber	
3631	Plastic granules and profile shapes of plastics	
3632	Tubes, pipes and fittings, of plastics	
3633	Plates, film, of plastics, not self-adhesive	
3639	Other plates, sheets, film, of plastics	
3641	Sacks and bags, of plastics	
3649	Lids, caps and other closures, of plastics	
3691	Floor coverings of plastics	
3692	Self-adhesive plates, sheets, film of plastics	
3693	Basin and sanitary wares of plastic	
3694	Household articles of plastic	
3695	Builders' ware of plastics n.e.c.	
3696	Electrical parts of plastic	
3699	Articles of plastics n.e.c.	
3711	Glasses and mirrors	
3712	Glass fibres	
3719	Other glass articles (bottle, jar etc.)	
3722	Ceramic household and ornamental articles	
3732	Refractory bricks, blocks, and tiles	
3734	Unfired refractory products	
3735	Tiles, bricks of non-refractory ceramic goods	
3737	Ceramic flags and wall tiles	
3742	Lime	
3743	Cement clinkers	
3744	Cement	
3745	Calcinated dolomite	
3754	Tiles, bricks of cement and concrete	
3756	Other articles of cement and concrete	
3769	Monumental or building stone	
3811	Seats	
3812	Other furniture used in offices	
3813	Other wooden furniture used in the kitchen	
3814	Other furniture n.e.c	
3824	Jewellery and other articles of precious metal	
3891	Pens, pencils	
3892	Umbrellas, sun-umbrellas, buttons	
3899	Other articles; Brooms, brushes, combs etc.	
3912	Rice Bran	
3913	Residues of starch manufacture and similar residues	
3914	Other waste of sugar manufacture	
3918	Tobacco refuse	
3925	Waste, parings and scrap of rubber	
3927	Waste and scrap of plastics	
3928	Sawdust and wood waste and scrap	
3931	Slag, granulated slag	
3934	Ferrous waste and scrap	
3936	Waste and scrap of other metals	
3999	Other wastes n.e.c.	
4121	Flat-rolled products of steel, not further worked than hot-rolled	
4123	Flat-rolled products of steel, further worked than hot-rolled	
4124	Bars and rods, hot-rolled, of iron or steel	
4126	Wire of iron or alloy steel	
4127	Hollow drill bars and rods of steel	
4128	Tubes, pipes and hollow profiles, of steel	
4129	Tubes, pipes and hollow profiles of cast-iron and cast-steel	
4131	Silver	
4151	Semi-finished products of copper or copper alloys	
4152	Semi-finished products of nickel or nickel alloys	
4153	Semi-finished products of aluminium or aluminium alloys	
4154	Semi-finished products of lead, zinc and tin or their alloys	
4211	Bridges, bridge sections, towers of iron or steel	
4212	Doors, windows and their frames of iron, steel or aluminium	
4219	Parts of structures, of iron, steel or aluminium	
4221	Reservoirs, tanks, and similar containers	
4222	Containers for liquefied gas, of iron, steel or aluminium	
4291	Domestic metal products	
4292	Hand tools	
4293	Tanks, casks, drums, cans, boxes	
4294	Metal fasteners, springs and articles made from metal wire	
4299	Other metal goods	
4314	Steam and other vapour turbines	
4324	Taps, cocks, valves	
4325	Parts for the goods of classes 4321 to 4324	
4332	Gears, Bearing	
4411	Soil machinery	
4412	Harvester and threshers	
4413	Milking and dairy machines	
4414	Agricultural tractors	
4419	Other agricultural machinery	
4421	Machine-tools for working material	
4422	Machine-tools for working stone, ceramics and the like	
4444	Machine for washing, crushing, and grinding	
4451	Machinery for the food, beverage and tobacco industries	
4481	Domestic electric appliances	
4482	Domestic cooking and heating equipment	
4612	Electrical transformers, static converters and inductors	
4613	Parts for the goods of classes 4611 and 4612	
4621	Electricity distribution or control apparatus	
4622	Parts of electricity distribution or control apparatus	
4631	Insulated winding wire	
4641	Primary cells and primary batteries	
4651	Electric filament or discharge lamps	
4691	Electrical ignition equipment used for internal combustion	
4696	Parts for the goods of subclasses 46910, 46921 and 46929	
4715	Diodes, transistors and similar semi-conductor devices	
4721	Transmission apparatus for radio-broadcasting or television	
4731	Radio broadcast and television receivers	
4911	Motor vehicles	
4912	Parts and accessories n.e.c. of motor vehicles	
4921	Bodies for motor vehicles	
4922	Trailers and semi-trailers; containers	
9990	Other]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V66" name="PROD_UNIT" files="F9" dcml="0" intrvl="discrete">
      <location StartPos="10" EndPos="11" width="2" RecSegNo="1"/>
      <labl>
        Production Unit
      </labl>
      <qstn>
        <qstnLit>
          Unit of measurement of the products
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Qtl.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Liter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          000' Liter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          KWH
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sq.ft.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Meter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Sq.Meter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Bora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Piece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          000' pcs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Q.ft.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Packet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Gram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Pair
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Cub.meter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Feet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Ton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Dozen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Pad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ream
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          OneM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Tola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          New-1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Trailer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          New-2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          New-3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Kori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          New-5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          New-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V67" name="QP_TOTAL" files="F9" dcml="0" intrvl="contin">
      <location StartPos="12" EndPos="19" width="8" RecSegNo="1"/>
      <labl>
        Total annual production
      </labl>
      <qstn>
        <qstnLit>
          How much quantity is prdoduced annually?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="56885960"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V68" name="QS_NEPAL" files="F9" dcml="0" intrvl="contin">
      <location StartPos="20" EndPos="27" width="8" RecSegNo="1"/>
      <labl>
        Annual quantity sale in Nepal
      </labl>
      <qstn>
        <qstnLit>
          How much quantity is sold in nepal?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="40801432"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V69" name="VS_NEPAL" files="F9" dcml="0" intrvl="contin">
      <location StartPos="28" EndPos="35" width="8" RecSegNo="1"/>
      <labl>
        Annual amount sale in Nepal
      </labl>
      <qstn>
        <qstnLit>
          Total value of product sale in Nepal only
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="16006765"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V70" name="PS_COUNTRY" files="F9" dcml="0" intrvl="discrete">
      <location StartPos="36" EndPos="38" width="3" RecSegNo="1"/>
      <labl>
        Production sale country
      </labl>
      <qstn>
        <qstnLit>
          Write down the name of country where the particular products is sold
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NotAppl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Sri Lanka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Maldhives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Bhutan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Aland Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Albania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          American Samoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Andorra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Angola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Anguilla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Antigua and Barbuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Aruba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Azerbaijan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Bahamas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Bahrain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Barbados
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Belarus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Belgium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Belize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Benin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Bermuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Bolivia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Bosnia and Herzegovina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Botswana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Bouvet Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          British Indian Ocean Territory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Brunei Darussalam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Bulgaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Cambodia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Cape Verde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Cayman Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Central African Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Chile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Hong Kong, Special Administrative Region of China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Macao, Special Administrative Region of China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Christmas Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Cocos (Keeling) Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Comoros
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Congo (Brazzaville)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Congo, Democratic Republic of the
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Cook Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Costa Rica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Côte d'Ivoire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Croatia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Cyprus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Czech Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Djibouti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Dominica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Dominican Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Ecuador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          El Salvador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Eritrea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Estonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Falkland Islands (Malvinas)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Faroe Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Finland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          French Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          French Polynesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          French Southern Territories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Gabon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Gambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          Georgia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          Gibraltar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Greenland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Grenada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Guadeloupe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Guam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Guernsey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Guyana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Haiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Heard Island and Mcdonald Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Holy See (Vatican City State)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Hungary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Iceland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          Iran, Islamic Republic of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          Ireland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Isle of Man
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Jamaica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Jersey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          Kazakhstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          Kiribati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Korea, Democratic People's Republic of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Korea, Republic of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Kuwait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Lao PDR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Latvia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          Lesotho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          Libyan Arab Jamahiriya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Liechtenstein
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Lithuania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Luxembourg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Macedonia, Republic of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Madagascar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Malaysia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          Malta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Marshall Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Martinique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Mauritania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Mauritius
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Mayotte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          Micronesia, Federated States of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          Moldova
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          Monaco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Mongolia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          Montenegro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Montserrat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Myanmar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          Nauru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          Netherlands Antilles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          New Caledonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Nicaragua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Niger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          Niue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          Norfolk Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          Northern Mariana Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          Oman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          Palau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          Palestinian Territory, Occupied
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Panama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          Peru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Pitcairn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          Portugal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Puerto Rico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          Qatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Réunion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Russian Federation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Saint-Barthélemy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          Saint Helena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          Saint Kitts and Nevis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          Saint Lucia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Saint-Martin (French part)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          Saint Pierre and Miquelon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          Saint Vincent and Grenadines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Samoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          San Marino
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          Serbia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          Seychelles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Singapore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Slovakia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Slovenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Solomon Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Somalia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          South Georgia and the South Sandwich Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Suriname *
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Svalbard and Jan Mayen Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Swaziland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Syrian Arab Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Taiwan, Republic of China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Tajikistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Tanzania *, United Republic of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Timor-Leste
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Togo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Tokelau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Turkmenistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Turks and Caicos Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          Tuvalu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          Ukraine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          United States of America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          United States Minor Outlying Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Uzbekistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          Vanuatu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          Venezuela (Bolivarian Republic of)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          Viet Nam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Virgin Islands, US
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Wallis and Futuna Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Western Sahara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Zimbabwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Pacific
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Latin America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Middle East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          North America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          Third country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V71" name="QS_FOREIGN" files="F9" dcml="0" intrvl="contin">
      <location StartPos="39" EndPos="45" width="7" RecSegNo="1"/>
      <labl>
        Annual quantity sale in foreign country
      </labl>
      <qstn>
        <qstnLit>
          Total export quantity
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="5087946"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V72" name="VS_FOREIGN" files="F9" dcml="0" intrvl="contin">
      <location StartPos="46" EndPos="52" width="7" RecSegNo="1"/>
      <labl>
        Annual amount sale in foreign country
      </labl>
      <qstn>
        <qstnLit>
          What is the totlal export value?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="6016157"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V73" name="DCODE" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	District	
1	 Taplejung	
2	 Panchthar	
3	 Ilam	
4	 Jhapa	
5	 Morang	
6	 Sunsari	
7	 Dhankuta	
8	 Terhathum	
9	 Sankhuwasabha	
10	 Bhojpur	
13	 Khotang	
14	 Udayapur	
15	 Saptari	
16	 Siraha	
17	 Dhanusa	
18	 Mahottari	
19	 Sarlahi	
21	 Ramechhap	
22	 Dolakha	
23	 Sindhupalchok	
24	 Kavre	
25	 Lalitpur	
26	 Bhaktapur	
27	 Kathmandu	
28	 Nuwakot	
30	 Dhading	
31	 Makwanpur	
32	 Rautahat	
33	 Bara	
34	 Parsa	
35	 Chitawan	
36	 Gorkha	
37	 Lamjung	
38	 Tanahu	
39	 Syangja	
40	 Kaski	
42	 Mustang	
43	 Myagdi	
44	 Parbat	
45	 Baglung	
46	 Gulmi	
47	 Palpa	
48	 Nawalparasi	
49	 Rupandehi	
50	 Kapilbastu	
51	 Arghakhanchi	
52	 Pyuthan	
53	 Rolpa	
54	 Rukum	
56	 Dang	
57	 Banke	
58	 Bardiya	
59	 Surkhet	
60	 Dailekh	
61	 Jajarkot	
63	 Jumla	
64	 Kalikot	
67	 Bajura	
68	 Bajhang	
70	 Doti	
71	 Kailali	
72	 Kanchanpur	
73	 Dadeldhura	
74	 Baitadi	
75	 Darchula]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V74" name="FORMNO" files="F10" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V75" name="ENIS_ID" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="7" width="2" RecSegNo="1"/>
      <labl>
        Expense on non-industrial service
      </labl>
      <qstn>
        <qstnLit>
          Give Expenses on non-industrial service category.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="95"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rental of Land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rental of warehouses, industrial space and machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Rental or lease of machinery and equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other rent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Payment of travelling costs for products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Payment of Insurance Premiums
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Payment of Communication charges (postage, couriers, telepho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Payments made for printing and stationery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Payments for auditing ad accountants' fees
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Payments for other professional services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Payments made for advertising and promotion (excluding print
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Payment of royalties, copyrights, patents, etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Payments for education and training
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other payments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Total
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Description on Expense on non-industrial service	
1	Rental of Land	
2	Rental of warehouses, industrial space and machinery	
3	Rental or lease of machinery and equipment	
4	Other rent	
5	Payment of travelling costs for products	
6	Payment of Insurance Premiums	
7	Payment of Communication charges (postage, couriers, telephone, fax, email, internet etc.)	
8	Payments made for printing and stationery	
9	Payments for auditing ad accountants' fees	
10	Payments for other professional services	
11	Payments made for advertising and promotion (excluding printing)	
12	Payment of royalties, copyrights, patents, etc.	
13	Payments for education and training	
14	Other payments	
95	Total]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V76" name="ENIS_AMT" files="F10" dcml="0" intrvl="contin">
      <location StartPos="8" EndPos="14" width="7" RecSegNo="1"/>
      <labl>
        Annual expenses amount (Rs in thousand)
      </labl>
      <qstn>
        <qstnLit>
          Total annal expenses amount (in Rs. thousands) of corresponding non-industrial service category.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1129429"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V77" name="DCODE" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	District	
1	 Taplejung	
2	 Panchthar	
3	 Ilam	
4	 Jhapa	
5	 Morang	
6	 Sunsari	
7	 Dhankuta	
8	 Terhathum	
9	 Sankhuwasabha	
10	 Bhojpur	
13	 Khotang	
14	 Udayapur	
15	 Saptari	
16	 Siraha	
17	 Dhanusa	
18	 Mahottari	
19	 Sarlahi	
21	 Ramechhap	
22	 Dolakha	
23	 Sindhupalchok	
24	 Kavre	
25	 Lalitpur	
26	 Bhaktapur	
27	 Kathmandu	
28	 Nuwakot	
30	 Dhading	
31	 Makwanpur	
32	 Rautahat	
33	 Bara	
34	 Parsa	
35	 Chitawan	
36	 Gorkha	
37	 Lamjung	
38	 Tanahu	
39	 Syangja	
40	 Kaski	
42	 Mustang	
43	 Myagdi	
44	 Parbat	
45	 Baglung	
46	 Gulmi	
47	 Palpa	
48	 Nawalparasi	
49	 Rupandehi	
50	 Kapilbastu	
51	 Arghakhanchi	
52	 Pyuthan	
53	 Rolpa	
54	 Rukum	
56	 Dang	
57	 Banke	
58	 Bardiya	
59	 Surkhet	
60	 Dailekh	
61	 Jajarkot	
63	 Jumla	
64	 Kalikot	
67	 Bajura	
68	 Bajhang	
70	 Doti	
71	 Kailali	
72	 Kanchanpur	
73	 Dadeldhura	
74	 Baitadi	
75	 Darchula]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V78" name="FORMNO" files="F11" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V79" name="STOCK_ID" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="7" width="2" RecSegNo="1"/>
      <labl>
        Stock ID
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="95"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Raw materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Fuels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Semi-finished goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Finished goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Goods purchased for resale
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Capital manufacturing work in progress
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Any other stocks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Total
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Stock category	
1	Raw materials	
2	Fuels	
3	Semi-finished goods	
4	Finished goods	
5	Goods purchased for resale	
6	Capital manufacturing work in progress	
7	Any other stocks	
95	Total]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V80" name="BIGG_STK" files="F11" dcml="0" intrvl="contin">
      <location StartPos="8" EndPos="14" width="7" RecSegNo="1"/>
      <labl>
        Stock at the July 17, 2011 (Rs. in thousand)
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[How much  raw material, fuel, final goods etc are stocked inl 17 july 2011]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2367225"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V81" name="END_STK" files="F11" dcml="0" intrvl="contin">
      <location StartPos="15" EndPos="21" width="7" RecSegNo="1"/>
      <labl>
        Stock at the July 15, 2012 (Rs. in thousand)
      </labl>
      <qstn>
        <qstnLit>
          What is the total value of stock?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2737467"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V82" name="DCODE" files="F12" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	District	
1	 Taplejung	
2	 Panchthar	
3	 Ilam	
4	 Jhapa	
5	 Morang	
6	 Sunsari	
7	 Dhankuta	
8	 Terhathum	
9	 Sankhuwasabha	
10	 Bhojpur	
13	 Khotang	
14	 Udayapur	
15	 Saptari	
16	 Siraha	
17	 Dhanusa	
18	 Mahottari	
19	 Sarlahi	
21	 Ramechhap	
22	 Dolakha	
23	 Sindhupalchok	
24	 Kavre	
25	 Lalitpur	
26	 Bhaktapur	
27	 Kathmandu	
28	 Nuwakot	
30	 Dhading	
31	 Makwanpur	
32	 Rautahat	
33	 Bara	
34	 Parsa	
35	 Chitawan	
36	 Gorkha	
37	 Lamjung	
38	 Tanahu	
39	 Syangja	
40	 Kaski	
42	 Mustang	
43	 Myagdi	
44	 Parbat	
45	 Baglung	
46	 Gulmi	
47	 Palpa	
48	 Nawalparasi	
49	 Rupandehi	
50	 Kapilbastu	
51	 Arghakhanchi	
52	 Pyuthan	
53	 Rolpa	
54	 Rukum	
56	 Dang	
57	 Banke	
58	 Bardiya	
59	 Surkhet	
60	 Dailekh	
61	 Jajarkot	
63	 Jumla	
64	 Kalikot	
67	 Bajura	
68	 Bajhang	
70	 Doti	
71	 Kailali	
72	 Kanchanpur	
73	 Dadeldhura	
74	 Baitadi	
75	 Darchula]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V83" name="FORMNO" files="F12" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V84" name="RNIS_ID" files="F12" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="7" width="2" RecSegNo="1"/>
      <labl>
        Receipt from non-industrial services
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="95"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Receive from Rent (Land)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Received from Rent (House, Warehouse and Mechinary)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Receive from Rent (Transportation Equipment)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Received from Rent (Other)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Received from Agency Commission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Received from Government Export Grant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Receive from Contract and Commission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Receive from Import Discount
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Receive from Economic Grant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Receive from Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Total
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Description on receipt from non-industrial services	
1	Receive from Rent (Land)	
2	Received from Rent (House, Warehouse and Mechinary)	
3	Receive from Rent (Transportation Equipment)	
4	Received from Rent (Other)	
5	Received from Agency Commission	
6	Received from Government Export Grant	
7	Receive from Contract and Commission	
8	Receive from Import Discount	
9	Receive from Economic Grant	
10	Receive from Others	
95	Total]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V85" name="RNIS_AMT" files="F12" dcml="0" intrvl="contin">
      <location StartPos="8" EndPos="13" width="6" RecSegNo="1"/>
      <labl>
        Amount income amount (Rs. in thousand)
      </labl>
      <qstn>
        <qstnLit>
          How much income is receipt from non industrial services?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="780840"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V86" name="DCODE" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V87" name="FORMNO" files="F13" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V88" name="TAX_ID" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="7" width="2" RecSegNo="1"/>
      <labl>
        Tax ID
      </labl>
      <qstn>
        <qstnLit>
          Type of Indirect Tax
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="95"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Value Added Tax (VAT)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sales/Excise Duty
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Export Duty
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Import Duty
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other Indirect Tax
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Total
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V89" name="TAX_PAMT" files="F13" dcml="0" intrvl="contin">
      <location StartPos="8" EndPos="15" width="8" RecSegNo="1"/>
      <labl>
        Paid amount in reference period (Rs. in thousand)
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[How much paid amount of the corresponding Tax Category in reference period (Rs. in thousands)	 ?]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="28000000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V90" name="TAX_RAMT" files="F13" dcml="0" intrvl="contin">
      <location StartPos="16" EndPos="23" width="8" RecSegNo="1"/>
      <labl>
        Receipt amount in reference period (Rs. in thousand)
      </labl>
      <qstn>
        <qstnLit>
          How much receipt amount of the corresponding Tax Category in reference period (Rs. in thousands) ?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="43800000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V91" name="DCODE" files="F14" dcml="0" intrvl="contin">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	District	
1	 Taplejung	
2	 Panchthar	
3	 Ilam	
4	 Jhapa	
5	 Morang	
6	 Sunsari	
7	 Dhankuta	
8	 Terhathum	
9	 Sankhuwasabha	
10	 Bhojpur	
13	 Khotang	
14	 Udayapur	
15	 Saptari	
16	 Siraha	
17	 Dhanusa	
18	 Mahottari	
19	 Sarlahi	
21	 Ramechhap	
22	 Dolakha	
23	 Sindhupalchok	
24	 Kavre	
25	 Lalitpur	
26	 Bhaktapur	
27	 Kathmandu	
28	 Nuwakot	
30	 Dhading	
31	 Makwanpur	
32	 Rautahat	
33	 Bara	
34	 Parsa	
35	 Chitawan	
36	 Gorkha	
37	 Lamjung	
38	 Tanahu	
39	 Syangja	
40	 Kaski	
42	 Mustang	
43	 Myagdi	
44	 Parbat	
45	 Baglung	
46	 Gulmi	
47	 Palpa	
48	 Nawalparasi	
49	 Rupandehi	
50	 Kapilbastu	
51	 Arghakhanchi	
52	 Pyuthan	
53	 Rolpa	
54	 Rukum	
56	 Dang	
57	 Banke	
58	 Bardiya	
59	 Surkhet	
60	 Dailekh	
61	 Jajarkot	
63	 Jumla	
64	 Kalikot	
67	 Bajura	
68	 Bajhang	
70	 Doti	
71	 Kailali	
72	 Kanchanpur	
73	 Dadeldhura	
74	 Baitadi	
75	 Darchula]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V92" name="FORMNO" files="F14" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V93" name="FA_ID" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="7" width="2" RecSegNo="1"/>
      <labl>
        Fixed Assets ID
      </labl>
      <qstn>
        <qstnLit>
          Write down the Fixed assets category.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="95"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Building &amp; other construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Machin &amp; other equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Computer &amp; related machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Transportation equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Furniture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Research &amp; development
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Mining and evaluation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Software &amp; database
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Trademark, Patent &amp; Design
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Total
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Fixed Assets Category	
1	Land	
2	Building & other construction	
3	Machin & other equipment	
4	Computer & related machinery	
5	Transportation equipment	
6	Furniture	
7	Research & development	
8	Mining and evaluation	
9	Software & database	
10	Trademark, Patent & Design	
11	Other	
95	Total]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V94" name="Q13A" files="F14" dcml="0" intrvl="contin">
      <location StartPos="8" EndPos="15" width="8" RecSegNo="1"/>
      <labl>
        Value of fixed assets on July 17, 2011
      </labl>
      <qstn>
        <qstnLit>
          How much is the value of fixed assets of the establishment on 17th July, 2011 ?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="10974574"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V95" name="Q13B" files="F14" dcml="0" intrvl="contin">
      <location StartPos="16" EndPos="21" width="6" RecSegNo="1"/>
      <labl>
        Value of any new purchase within reference period
      </labl>
      <qstn>
        <qstnLit>
          How much is the value of any new purchase by the establishment within reference period ?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="356343"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V96" name="Q13C" files="F14" dcml="0" intrvl="contin">
      <location StartPos="22" EndPos="27" width="6" RecSegNo="1"/>
      <labl>
        Value of addition of used assets
      </labl>
      <qstn>
        <qstnLit>
          How much is the value of addition of used assets by the the corresponding fixed assets ?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="669009"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V97" name="Q13D" files="F14" dcml="0" intrvl="contin">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Cost of capital maintenance withinin reference period
      </labl>
      <qstn>
        <qstnLit>
          How much is the cost of capital maintenance of the corresponding fixed assets withinin reference period ?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="39927"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V98" name="Q13E" files="F14" dcml="0" intrvl="contin">
      <location StartPos="33" EndPos="37" width="5" RecSegNo="1"/>
      <labl>
        Amount of fixed assets produced by own labour force for own purpose
      </labl>
      <qstn>
        <qstnLit>
          How much is the amount of fixed assets produced by own labor force for own purpose by the establishment ?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="36314"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V99" name="Q13F" files="F14" dcml="0" intrvl="contin">
      <location StartPos="38" EndPos="42" width="5" RecSegNo="1"/>
      <labl>
        Receipts from sale of fixed assets
      </labl>
      <qstn>
        <qstnLit>
          How much the establishment receipt from sale of fixed assets ?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="75322"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V100" name="Q13G" files="F14" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="46" width="4" RecSegNo="1"/>
      <labl>
        Loss of fixed assets due to catastrophe
      </labl>
      <qstn>
        <qstnLit>
          How much is the loss of fixed assets due to catastrophe of the corresponding fixed assets (in Rs. thousands) ?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="3900"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V101" name="Q13H" files="F14" dcml="0" intrvl="contin">
      <location StartPos="47" EndPos="53" width="7" RecSegNo="1"/>
      <labl>
        Annual amount of depreciation
      </labl>
      <qstn>
        <qstnLit>
          How much is the annual amount of depreciation of the corresponding fixed assets ?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1191005"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V102" name="DCODE" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	District	
1	 Taplejung	
2	 Panchthar	
3	 Ilam	
4	 Jhapa	
5	 Morang	
6	 Sunsari	
7	 Dhankuta	
8	 Terhathum	
9	 Sankhuwasabha	
10	 Bhojpur	
13	 Khotang	
14	 Udayapur	
15	 Saptari	
16	 Siraha	
17	 Dhanusa	
18	 Mahottari	
19	 Sarlahi	
21	 Ramechhap	
22	 Dolakha	
23	 Sindhupalchok	
24	 Kavre	
25	 Lalitpur	
26	 Bhaktapur	
27	 Kathmandu	
28	 Nuwakot	
30	 Dhading	
31	 Makwanpur	
32	 Rautahat	
33	 Bara	
34	 Parsa	
35	 Chitawan	
36	 Gorkha	
37	 Lamjung	
38	 Tanahu	
39	 Syangja	
40	 Kaski	
42	 Mustang	
43	 Myagdi	
44	 Parbat	
45	 Baglung	
46	 Gulmi	
47	 Palpa	
48	 Nawalparasi	
49	 Rupandehi	
50	 Kapilbastu	
51	 Arghakhanchi	
52	 Pyuthan	
53	 Rolpa	
54	 Rukum	
56	 Dang	
57	 Banke	
58	 Bardiya	
59	 Surkhet	
60	 Dailekh	
61	 Jajarkot	
63	 Jumla	
64	 Kalikot	
67	 Bajura	
68	 Bajhang	
70	 Doti	
71	 Kailali	
72	 Kanchanpur	
73	 Dadeldhura	
74	 Baitadi	
75	 Darchula]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V103" name="FORMNO" files="F15" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V104" name="Q1401" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="8" width="3" RecSegNo="1"/>
      <labl>
        No of days the establishment run
      </labl>
      <qstn>
        <qstnLit>
          14.01 How many days the establishment run within the reference period?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V105" name="Q1402" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="9" EndPos="9" width="1" RecSegNo="1"/>
      <labl>
        No of shifts the establishment run
      </labl>
      <qstn>
        <qstnLit>
          14.02 How many shifts the establishment continue within the reference period?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          One shift
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Two shifts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Three shifts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Four shifts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Five shifts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V106" name="Q1403" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="10" EndPos="11" width="2" RecSegNo="1"/>
      <labl>
        Total hours the establishment run
      </labl>
      <qstn>
        <qstnLit>
          14.03 How many hours the establishment run within the reference period?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="6" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V107" name="Q1404" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="12" EndPos="14" width="3" RecSegNo="1"/>
      <labl>
        Percent utilized out of the total capacity of the establishment
      </labl>
      <qstn>
        <qstnLit>
          14.04 How many percent utilized out of the total capacity of the establishment?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="20" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V108" name="Q1405" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="15" EndPos="15" width="1" RecSegNo="1"/>
      <labl>
        Having fulfill the demand of the market
      </labl>
      <qstn>
        <qstnLit>
          14.05 Did the establishment fulfill the demand of the market within the reference period?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V109" name="Q1406" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="16" EndPos="18" width="3" RecSegNo="1"/>
      <labl>
        Reasons for not fulfilling the market demand
      </labl>
      <qstn>
        <qstnLit>
          14.06 What are the reasons for not fulfilling the market demand?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Lack of raw material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Loadshedding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Strike
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          High maintenance cost
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Climate effect
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Lack of machine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Lack of quality raw material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          High cost of raw material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Lack of skilled manpower
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Lack of labour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          High labour charge
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Competition with international trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Security problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Trade Union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Government policy and supervision
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Lack of fuel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Lack of finance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Remote area
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Lack of road infrastructure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Lack of transportation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Lack of advertisement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          High interest rate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sale in credit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Access to loan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Weak management
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Traditional equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          <![CDATA[Lack of market  or demand]]>
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Under extension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V110" name="DCODE" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	District	
1	 Taplejung	
2	 Panchthar	
3	 Ilam	
4	 Jhapa	
5	 Morang	
6	 Sunsari	
7	 Dhankuta	
8	 Terhathum	
9	 Sankhuwasabha	
10	 Bhojpur	
13	 Khotang	
14	 Udayapur	
15	 Saptari	
16	 Siraha	
17	 Dhanusa	
18	 Mahottari	
19	 Sarlahi	
21	 Ramechhap	
22	 Dolakha	
23	 Sindhupalchok	
24	 Kavre	
25	 Lalitpur	
26	 Bhaktapur	
27	 Kathmandu	
28	 Nuwakot	
30	 Dhading	
31	 Makwanpur	
32	 Rautahat	
33	 Bara	
34	 Parsa	
35	 Chitawan	
36	 Gorkha	
37	 Lamjung	
38	 Tanahu	
39	 Syangja	
40	 Kaski	
42	 Mustang	
43	 Myagdi	
44	 Parbat	
45	 Baglung	
46	 Gulmi	
47	 Palpa	
48	 Nawalparasi	
49	 Rupandehi	
50	 Kapilbastu	
51	 Arghakhanchi	
52	 Pyuthan	
53	 Rolpa	
54	 Rukum	
56	 Dang	
57	 Banke	
58	 Bardiya	
59	 Surkhet	
60	 Dailekh	
61	 Jajarkot	
63	 Jumla	
64	 Kalikot	
67	 Bajura	
68	 Bajhang	
70	 Doti	
71	 Kailali	
72	 Kanchanpur	
73	 Dadeldhura	
74	 Baitadi	
75	 Darchula]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V111" name="FORMNO" files="F16" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V112" name="Q1501" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="6" width="1" RecSegNo="1"/>
      <labl>
        Having any pollution control machine
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[15.01  Did the establishment have any pollution control machines during the reference period?]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V113" name="Q1503" files="F16" dcml="0" intrvl="contin">
      <location StartPos="7" EndPos="12" width="6" RecSegNo="1"/>
      <labl>
        Cost of environment protection cost except the installation of such machine
      </labl>
      <qstn>
        <qstnLit>
          15.03 Except the installation of such machine or equipment to control pollution, how much was spent for environmental protection by the establishment during the reference period?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="250000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V114" name="Q1504" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="13" EndPos="13" width="1" RecSegNo="1"/>
      <labl>
        Reuse or recycle the metal or non-metal scraps
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[15.04 Did the establishment reuse or recycle the metal or non-metal scraps (paper, plastic, rubber,  leather etc. through further processing?]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V115" name="Q1505" files="F16" dcml="0" intrvl="contin">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        Cost of recycling
      </labl>
      <qstn>
        <qstnLit>
          15.05 What was the cost of such recycling?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="30000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V116" name="Q1506" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="19" EndPos="19" width="1" RecSegNo="1"/>
      <labl>
        Having pollution control certificate
      </labl>
      <qstn>
        <qstnLit>
          15.06 Did the establishment have Pollution Control Certificate?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V117" name="DCODE" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V118" name="FORMNO" files="F17" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V119" name="Q1502A" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="6" width="1" RecSegNo="1"/>
      <labl>
        Equipment Type
      </labl>
      <qstn>
        <qstnLit>
          What type of environment pollution control equipment is installed during the reference period?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Gas and smell controller
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Smoke, and dust controller
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sound controller
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Radiation controller
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pond for polluted water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Solid waste management
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	Equipment Type	
1	Gas and smell controller	
2	Smoke, and dust controller	
3	Sound controller	
4	Radiation controller	
5	Pond for polluted water	
6	Solid waste management]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V120" name="Q1502B" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="7" EndPos="7" width="1" RecSegNo="1"/>
      <labl>
        Have install
      </labl>
      <qstn>
        <qstnLit>
          Do your establishment have installed environment pollution control equipment is installed during the reference period?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V121" name="Q1502C" files="F17" dcml="0" intrvl="contin">
      <location StartPos="8" EndPos="12" width="5" RecSegNo="1"/>
      <labl>
        Cost of installation and managment
      </labl>
      <qstn>
        <qstnLit>
          What is the Installation/Management cost? (In thousands rupees)
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="75000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V122" name="DCODE" files="F18" dcml="0" intrvl="contin">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="75"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Taplejung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panchthar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ilam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jhapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sunsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dhankuta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Terhathum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sankhuwasabha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Khotang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Udayapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Saptari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Siraha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Dhanusa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mahottari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Sarlahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Ramechhap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Dolakha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sindhupalchok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kavre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Bhaktapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Kathmandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Nuwakot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dhading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Makwanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rautahat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Parsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chitawan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Gorkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Lamjung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Tanahu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Syangja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kaski
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mustang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Myagdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Parbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Baglung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Gulmi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Palpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Nawalparasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Rupandehi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Kapilbastu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Arghakhanchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Pyuthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Rolpa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rukum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Dang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Banke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Bardiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Surkhet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Dailekh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Jajarkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Jumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Kalikot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Bajura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bajhang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Doti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Kailali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Kanchanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Dadeldhura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Baitadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Darchula
        </labl>
      </catgry>
      <codInstr>
        <![CDATA[Code	District	
1	 Taplejung	
2	 Panchthar	
3	 Ilam	
4	 Jhapa	
5	 Morang	
6	 Sunsari	
7	 Dhankuta	
8	 Terhathum	
9	 Sankhuwasabha	
10	 Bhojpur	
13	 Khotang	
14	 Udayapur	
15	 Saptari	
16	 Siraha	
17	 Dhanusa	
18	 Mahottari	
19	 Sarlahi	
21	 Ramechhap	
22	 Dolakha	
23	 Sindhupalchok	
24	 Kavre	
25	 Lalitpur	
26	 Bhaktapur	
27	 Kathmandu	
28	 Nuwakot	
30	 Dhading	
31	 Makwanpur	
32	 Rautahat	
33	 Bara	
34	 Parsa	
35	 Chitawan	
36	 Gorkha	
37	 Lamjung	
38	 Tanahu	
39	 Syangja	
40	 Kaski	
42	 Mustang	
43	 Myagdi	
44	 Parbat	
45	 Baglung	
46	 Gulmi	
47	 Palpa	
48	 Nawalparasi	
49	 Rupandehi	
50	 Kapilbastu	
51	 Arghakhanchi	
52	 Pyuthan	
53	 Rolpa	
54	 Rukum	
56	 Dang	
57	 Banke	
58	 Bardiya	
59	 Surkhet	
60	 Dailekh	
61	 Jajarkot	
63	 Jumla	
64	 Kalikot	
67	 Bajura	
68	 Bajhang	
70	 Doti	
71	 Kailali	
72	 Kanchanpur	
73	 Dadeldhura	
74	 Baitadi	
75	 Darchula]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V123" name="FORMNO" files="F18" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="5" width="3" RecSegNo="1"/>
      <labl>
        Form No.
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="783"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V124" name="Q1601" files="F18" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="6" width="1" RecSegNo="1"/>
      <labl>
        Industrial Policy/Law
      </labl>
      <qstn>
        <qstnLit>
          16.01 How industrial policy affect the establishment ? very positively , positively, no effect, negatively , very negatively.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Very positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No effect
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Negatve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Very negative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V125" name="Q1602" files="F18" dcml="0" intrvl="discrete">
      <location StartPos="7" EndPos="7" width="1" RecSegNo="1"/>
      <labl>
        Labour Act
      </labl>
      <qstn>
        <qstnLit>
          16.02 How labour act affect the establishment ? very positively , positively, no effect, negatively , very negatively.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Very positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No effect
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Negatve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Very negative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V126" name="Q1603" files="F18" dcml="0" intrvl="discrete">
      <location StartPos="8" EndPos="8" width="1" RecSegNo="1"/>
      <labl>
        Environment Act
      </labl>
      <qstn>
        <qstnLit>
          16.03 How industrial policy affect the establishment ? very positively , positively, no effect, negatively , very negatively.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Very positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No effect
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Negatve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Very negative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V127" name="Q1604" files="F18" dcml="0" intrvl="discrete">
      <location StartPos="9" EndPos="9" width="1" RecSegNo="1"/>
      <labl>
        Trade Union
      </labl>
      <qstn>
        <qstnLit>
          16.04 How trade union affect the establishment ? very positively , positively, no effect, negatively , very negatively.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Very positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No effect
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Negatve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Very negative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V128" name="Q1605" files="F18" dcml="0" intrvl="discrete">
      <location StartPos="10" EndPos="10" width="1" RecSegNo="1"/>
      <labl>
        Low wage
      </labl>
      <qstn>
        <qstnLit>
          16.05. How wage affect the establishment ? very positively , positively, no effect, negatively , very negatively.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Very positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No effect
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Negatve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Very negative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V129" name="Q1606" files="F18" dcml="0" intrvl="discrete">
      <location StartPos="11" EndPos="11" width="1" RecSegNo="1"/>
      <labl>
        Skilled manpower
      </labl>
      <qstn>
        <qstnLit>
          16.06. How skill manpower affect the establishment ? very positively , positively, no effect, negatively , very negatively.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Very positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No effect
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Negatve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Very negative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V130" name="Q1607" files="F18" dcml="0" intrvl="discrete">
      <location StartPos="12" EndPos="12" width="1" RecSegNo="1"/>
      <labl>
        Access for credit
      </labl>
      <qstn>
        <qstnLit>
          16.07 How access for credit affect the establishment ? very positively , positively, no effect, negatively , very negatively.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Very positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No effect
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Negatve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Very negative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V131" name="Q1608" files="F18" dcml="0" intrvl="discrete">
      <location StartPos="13" EndPos="13" width="1" RecSegNo="1"/>
      <labl>
        Market
      </labl>
      <qstn>
        <qstnLit>
          16.08. How market affect the establishment ? very positively , positively, no effect, negatively , very negatively.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Very positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No effect
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Negatve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Very negative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V132" name="Q1609" files="F18" dcml="0" intrvl="discrete">
      <location StartPos="14" EndPos="14" width="1" RecSegNo="1"/>
      <labl>
        Raw material
      </labl>
      <qstn>
        <qstnLit>
          16.09. How raw material affect the establishment ? very positively , positively, no effect, negatively , very negatively.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Very positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No effect
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Negatve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Very negative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V133" name="Q1610" files="F18" dcml="0" intrvl="discrete">
      <location StartPos="15" EndPos="15" width="1" RecSegNo="1"/>
      <labl>
        Electricity availability
      </labl>
      <qstn>
        <qstnLit>
          16.10. How electricity availability affect the establishment ? very positively , positively, no effect, negatively , very negatively.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Very positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Positive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No effect
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Negatve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Very negative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
