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    Home / Central Data Catalog / AFF / NPL-CBS-NCCS-2019-V01.
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Nepal Commercial Coffee Survey 2019

Nepal, 2018 - 2019
Agriculture, Forestry and Fisheries
Central Bureau of Statistics
Created on July 05, 2019 Last modified July 05, 2019 Page views 23875 Download 1545 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Data files
  • 1.Introduction
  • 2. General
    Information
  • 2.2
    Registration
  • 3. Employment
  • 4.1 Land Parcel

Data file: 3. Employment

The file contains a complete dataset of NCCS 2019.

Cases: 894
Variables: 46

Variables

FRMNO
FormId
Q31SNO$1
S.N.
Q31SNO$2
S.N.
Q31SNO$3
S.N.
Q31SNO$4
S.N.
Q31SNO$5
S.N.
Q31_2$1
Particular
Q31_2$2
Particular
Q31_2$3
Particular
Q31_2$4
Particular
Q31_2$5
Particular
Q31_3$1
Number of Permant Male
Q31_3$2
Number of Permant Male
Q31_3$3
Number of Permant Male
Q31_3$4
Number of Permant Male
Q31_3$5
Number of Permant Male
Q31_4$1
Number of Permanent Female
Q31_4$2
Number of Permanent Female
Q31_4$3
Number of Permanent Female
Q31_4$4
Number of Permanent Female
Q31_4$5
Number of Permanent Female
Q31_5$1
Annual Salary
Q31_5$2
Annual Salary
Q31_5$3
Annual Salary
Q31_5$4
Annual Salary
Q31_5$5
Annual Salary
Q31_6$1
Mandays of Male
Q31_6$2
Mandays of Male
Q31_6$3
Mandays of Male
Q31_6$4
Mandays of Male
Q31_6$5
Mandays of Male
Q31_7$1
Average wages/day of Male
Q31_7$2
Average wages/day of Male
Q31_7$3
Average wages/day of Male
Q31_7$4
Average wages/day of Male
Q31_7$5
Average wages/day of Male
Q31_8$1
Mandays of Female
Q31_8$2
Mandays of Female
Q31_8$3
Mandays of Female
Q31_8$4
Mandays of Female
Q31_8$5
Mandays of Female
Q31_9$1
Average wages/day of Female
Q31_9$2
Average wages/day of Female
Q31_9$3
Average wages/day of Female
Q31_9$4
Average wages/day of Female
Q31_9$5
Average wages/day of Female
Total: 46
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