Nepal Multiple Indicator Cluster Survey 2014
Nepal, 2014
Central Bureau of Statistics
Created on December 09, 2015
Last modified December 09, 2015
Page views 494718
Download 11023
Documentation in PDF
Metadata
DDI/XML
JSON
Identification
Survey ID Number
NPL-CBS-NMICS-2014-v1
Title
Nepal Multiple Indicator Cluster Survey 2014
Translated Title
Nepal Bahusuchak Sarwekshan 2070
Country
| Name | Country code |
|---|---|
| Nepal | NPL |
Study type
Multiple Indicator Cluster Survey - Round 5 [hh/mics-5]
Series Information
This is part of global 5th round of MICS. However this is conducted second time in Nepal. The first one was conducted in 2010 covering only the mid & far western development regions of Nepal.
Abstract
Nepal Multiple indicator Cluster Survey (NMICS) was conducted in 2014 by Central Bureau of Statistics (CBS) with the primary objective of filling the data gap on children and women of Nepal. The NMICS 2014 was implemented as part of the fifth round of the global MICS household survey programme with technical and financial support of UNICEF, Nepal.
NMICS 2014 has generated a wealth of information on children and women which is of immense importance to monitor and evaluate plan and programmes related to children and women of Nepal. These data will help to monitor towards goals and targets of international agreements such as Millenium Development Goals (MDGs) and World Fit for Children (WFFC). The NMICS 2014 covers topics related to child health, water and sanitation, reproductive health, child development, education and literacy, child protection, HIV and AIDS, mass media and use of information and communication technology, attitude towards domestic violence, tobacoo and alchohol use and life satisfaction.
The 2014 Nepal MICS has as its primary objectives:
· To provide up-to-date information for assessing the situation of children and women in Nepal;
· To gener ate data for the critical assessment of the progress made in various areas, and to put additional efforts in those areas that require more attention;
· To furnish data needed for monitoring progress toward goals established in the Millennium Declaration and other internationally agreed upon goals, as a basis for future action;
· To collect disaggregated data for the identification of disparities, to allow for evidence-based policy-making aimed at social inclusion of the most vulnerable;
· To contribute to the generation of baseline data for the post-2015 agenda;
· To validate data from other sources and the results of focused interventions.
NMICS 2014 has generated a wealth of information on children and women which is of immense importance to monitor and evaluate plan and programmes related to children and women of Nepal. These data will help to monitor towards goals and targets of international agreements such as Millenium Development Goals (MDGs) and World Fit for Children (WFFC). The NMICS 2014 covers topics related to child health, water and sanitation, reproductive health, child development, education and literacy, child protection, HIV and AIDS, mass media and use of information and communication technology, attitude towards domestic violence, tobacoo and alchohol use and life satisfaction.
The 2014 Nepal MICS has as its primary objectives:
· To provide up-to-date information for assessing the situation of children and women in Nepal;
· To gener ate data for the critical assessment of the progress made in various areas, and to put additional efforts in those areas that require more attention;
· To furnish data needed for monitoring progress toward goals established in the Millennium Declaration and other internationally agreed upon goals, as a basis for future action;
· To collect disaggregated data for the identification of disparities, to allow for evidence-based policy-making aimed at social inclusion of the most vulnerable;
· To contribute to the generation of baseline data for the post-2015 agenda;
· To validate data from other sources and the results of focused interventions.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household, Woman aged 15-49 years, Children aged 0-4 years
Version
Version Description
Version 1 : Edited data for internal use only.
Version Date
2015-08-15
Scope
Notes
The Nepal Multiple Indicator Cluster Survey 2014 collected following information for:
HOUSEHOLD: Household listing, household characteristics, education, water and sanitation, child labour, child discipline, hand washing and salt iodization.
WOMEN: Woman's background, access to mass media and use of information and/communication technology, desire for last birth, maternal and newborn health, illness symptoms, contraception, unmet need, attitudes towards domestic violence, marriage/union, HIV/AIDS knowledge, consumption of tobacco and alcoholic substances and life satisfaction.
CHILDREN: Children's background, birth registration, early childhood development, breastfeeding, care of illness and immunization.
HOUSEHOLD: Household listing, household characteristics, education, water and sanitation, child labour, child discipline, hand washing and salt iodization.
WOMEN: Woman's background, access to mass media and use of information and/communication technology, desire for last birth, maternal and newborn health, illness symptoms, contraception, unmet need, attitudes towards domestic violence, marriage/union, HIV/AIDS knowledge, consumption of tobacco and alcoholic substances and life satisfaction.
CHILDREN: Children's background, birth registration, early childhood development, breastfeeding, care of illness and immunization.
Topics
| Topic | Vocabulary |
|---|---|
| Social Development | Worldbank |
| Children & Youth | Worldbank |
Coverage
Geographic Coverage
National, ecological Develeopment region, unrban and rural, 15 domain: 5 development region & 3 ecological belt with urban & rural.
Universe
The survey covered all de jure household members (usual residents), all women aged 15-49 years resident in the household, and all children aged 0-4 years (under age 5) resident in the household. Ecoly test of resouce water & drinking water.T
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Central Bureau of Statistics | National Planning Commission Secretariat, Government of Nepal |
Producers
| Name |
|---|
| United Nations Children' Fund |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| United Nations Children's Fund | UNICEF |
| Government of Nepal | GoN |
Sampling
Sampling Procedure
The sample for the Nepal MICS was designed to provide estimates for a large number of indicators on the situation of children and women at the national level, for urban and rural areas, and for the following 15 regions: Eastern Mountains, Eastern Hills, Eastern Terai, Central Mountains, Central Hills, Central Terai, Western Mountains, Western Hills, Western Terai, Mid-Western Mountains, Mid-Western Hills, Mid-Western Terai, Far Western Mountains, Far Western Hills and Far Western Terai.
The urban and rural areas within each region were identified as the main sampling strata and the sample was selected in two stages. Within each stratum, a specified number of census enumeration areas were selected systematically with probability proportional to size. After a household listing was carried out within the selected enumeration areas, a systematic sample of 25 households was drawn in each sample enumeration area. Out of a total of 520 selected enumeration areas, one was not visited because it was inaccessible due to high altitude and heavy snowfall during the fieldwork period. The sample was stratified by region, urban and rural areas, and is not self-weighting. For reporting national level results, sample weights are used.
The urban and rural areas within each region were identified as the main sampling strata and the sample was selected in two stages. Within each stratum, a specified number of census enumeration areas were selected systematically with probability proportional to size. After a household listing was carried out within the selected enumeration areas, a systematic sample of 25 households was drawn in each sample enumeration area. Out of a total of 520 selected enumeration areas, one was not visited because it was inaccessible due to high altitude and heavy snowfall during the fieldwork period. The sample was stratified by region, urban and rural areas, and is not self-weighting. For reporting national level results, sample weights are used.
Deviations from the Sample Design
One cluster(25 households) of Dolpa district can not captured due to the heavy snowfall.
Response Rate
Out of the 13000 households selected for the sample, 12598 were found to be occupied. Among them 12405 were successfully interviewed for a household response rate of 98.5 percent. In the interviewed households, 14936 women (age 15-49 years) were identified. Of these, 14162 were successfully interviewed, yielding a response rate of 94.8 percent within interviewed households. In addition, 5663 children under age five were listed in the household questionnaire. Questionnaires were completed for 5349 of these children, which corresponds to a response rate of 94.5 percent within interviewed households. Last, the response rate for water quality testing for households was found to be 98.7%.
Weighting
The Nepal Multiple Indicator Cluster Survey sample is not self-weighting. Essentially, by allocating equal numbers of households to each of the regions, different sampling fractions were used in each region since the size of the regions varied. For this reason, sample weights were calculated and these were used in the subsequent analyses of the survey data.
Since the estimated number of households in each enumeration area (PSU) in the sampling frame used for the first stage selection and the updated number of households in the enumeration area from the listing were different, individual sampling fractions for households in each sample enumeration area (cluster) were calculated. The sampling fractions for households in each enumeration area (cluster) therefore included the first stage probability of selection of the enumeration area in that particular sampling stratum and the second stage probability of selection of a household in the sample enumeration area (cluster).
A second component in the calculation of sample weights takes into account the level of non-response for the household and individual interviews. The adjustment for household non-response is equal to the inverse value of:
RRh = Number of interviewed households in stratum h/ Number of occupied households listed in stratum h
After the completion of fieldwork, response rates were calculated for each sampling stratum. These were used to adjust the sample weights calculated for each cluster. Response rates in the Nepal Multiple Indicator Cluster Survey are shown in Table HH.1 in this report.
Similarly, the adjustment for non-response at the individual level (women and under-5 children) for each stratum is equal to the inverse value of:
RRh = Completed women's (or under-5's) questionnaires in stratum h / Eligible women (or under-5s) in stratum h
The non-response adjustment factors for women's and under-5's questionnaires are applied to the adjusted household weights. Numbers of eligible women and under-5 children were obtained from the roster of household members in the Household Questionnaire for households where interviews were completed.
The design weights for the households were calculated by multiplying the above factors for each enumeration area. These weights were then standardized (or normalized), one purpose of which is to make the weighted sum of the interviewed sample units equal the total sample size at the national level. Normalization is performed by dividing the aforementioned design weights by the average design weight at the national level. The average design weight is calculated as the sum of the design weights divided by the un-weighted total). A similar standardization procedure was followed in obtaining standardized weights for the women's and under-5's questionnaires. The great majority of the adjusted (normalized) household weights were in the range of 0.3 to 2.0, but a few fell outside this range, usually because of large disparities between the original estimated size of a ward or segment and the actual size found during listing.
Sample weights were appended to all data sets and analyses were performed by weighting each household, woman or under-5 with these sample weights.
Since the estimated number of households in each enumeration area (PSU) in the sampling frame used for the first stage selection and the updated number of households in the enumeration area from the listing were different, individual sampling fractions for households in each sample enumeration area (cluster) were calculated. The sampling fractions for households in each enumeration area (cluster) therefore included the first stage probability of selection of the enumeration area in that particular sampling stratum and the second stage probability of selection of a household in the sample enumeration area (cluster).
A second component in the calculation of sample weights takes into account the level of non-response for the household and individual interviews. The adjustment for household non-response is equal to the inverse value of:
RRh = Number of interviewed households in stratum h/ Number of occupied households listed in stratum h
After the completion of fieldwork, response rates were calculated for each sampling stratum. These were used to adjust the sample weights calculated for each cluster. Response rates in the Nepal Multiple Indicator Cluster Survey are shown in Table HH.1 in this report.
Similarly, the adjustment for non-response at the individual level (women and under-5 children) for each stratum is equal to the inverse value of:
RRh = Completed women's (or under-5's) questionnaires in stratum h / Eligible women (or under-5s) in stratum h
The non-response adjustment factors for women's and under-5's questionnaires are applied to the adjusted household weights. Numbers of eligible women and under-5 children were obtained from the roster of household members in the Household Questionnaire for households where interviews were completed.
The design weights for the households were calculated by multiplying the above factors for each enumeration area. These weights were then standardized (or normalized), one purpose of which is to make the weighted sum of the interviewed sample units equal the total sample size at the national level. Normalization is performed by dividing the aforementioned design weights by the average design weight at the national level. The average design weight is calculated as the sum of the design weights divided by the un-weighted total). A similar standardization procedure was followed in obtaining standardized weights for the women's and under-5's questionnaires. The great majority of the adjusted (normalized) household weights were in the range of 0.3 to 2.0, but a few fell outside this range, usually because of large disparities between the original estimated size of a ward or segment and the actual size found during listing.
Sample weights were appended to all data sets and analyses were performed by weighting each household, woman or under-5 with these sample weights.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2014-02-02 | 2014-06-30 |
Data Collection Mode
Face-to-face [f2f]
Supervision
Interviewing was conducted by teams of interviewers. Each interviewing team was comprised of 3 female interviewers, a field editor, and a supervisor.
The role of the supervisor was to coordinate data collection activities in the field, which including the following tasks:
(1) management of the field teams, supplies and equipment, finances, maps, and listings
(2) assign work to the interviewers, spot-check interviewers' work, maintain field control documents, and send completed questionnaires and progress reports to the central office
(3) coordinate with local authorities concerning the survey plan and make arrangements for accommodations and travel
The field editor's tasks included the following:
(1) review each questionnaire at the end of the day, checking for missed questions, skip errors, fields incorrectly completed, and inconsistencies in the data
(2) observe interviews and conduct review sessions with interviewers
Responsibilities of the supervisors and field editors are described in the Instructions for Supervisors and Field Editors, together with the different field controls that were in place to control the quality of the fieldwork.
Besides this, Central and BSO level field visits were also made on a periodic basis during fieldwork.
The role of the supervisor was to coordinate data collection activities in the field, which including the following tasks:
(1) management of the field teams, supplies and equipment, finances, maps, and listings
(2) assign work to the interviewers, spot-check interviewers' work, maintain field control documents, and send completed questionnaires and progress reports to the central office
(3) coordinate with local authorities concerning the survey plan and make arrangements for accommodations and travel
The field editor's tasks included the following:
(1) review each questionnaire at the end of the day, checking for missed questions, skip errors, fields incorrectly completed, and inconsistencies in the data
(2) observe interviews and conduct review sessions with interviewers
Responsibilities of the supervisors and field editors are described in the Instructions for Supervisors and Field Editors, together with the different field controls that were in place to control the quality of the fieldwork.
Besides this, Central and BSO level field visits were also made on a periodic basis during fieldwork.
Data Collection Notes
Field workers were contracted for four months. Out of 90 personnel recruited there were at least 45 females and the rest were males. The field personnel recruited formed a very heterogeneous group in terms of age, caste/ethnicity and education.
The venue for the residential training was set at Banepa, Kavrepalanchowk district near to Kathmandu. The training was organised into three groups containing 25 interviewers in each group. So each group contained interviewers, data editors and supervisors. The training was done in three parallel sessions. Training included lectures on interviewing techniques and the contents of the questionnaires, and mock interviews between trainees to gain practice in asking questions. Residential mode of the training gave the participants enough opportunity to get familiar with each other to be able to work in a team during the field data collection.
This was followed by three weeks of training for fieldworkers from 30 January to 19 February 2014 in Banepa, Kavre District. Training included lectures on interviewing techniques and the contents of the questionnaires, mock interviews between trainees to gain practice in asking questions, and demonstration on anthropometric measurement and water quality test. Towards the end of the training period, trainees spent four days in practice interviewing in villages near to Banepa.
The data were collected by 15 field teams. Each team consisted of a supervisor, three female interviewers and a data editor. One team collected data, on the average, from 35 clusters (enumeration areas). In total, 90 people worked in the field over a period. Fieldwork began in February, 2014 and concluded in July 2014. Field supervision is conducted by central level including core team, Branch Statistics Officer, Filed supervisor, UNICEF country office.
The venue for the residential training was set at Banepa, Kavrepalanchowk district near to Kathmandu. The training was organised into three groups containing 25 interviewers in each group. So each group contained interviewers, data editors and supervisors. The training was done in three parallel sessions. Training included lectures on interviewing techniques and the contents of the questionnaires, and mock interviews between trainees to gain practice in asking questions. Residential mode of the training gave the participants enough opportunity to get familiar with each other to be able to work in a team during the field data collection.
This was followed by three weeks of training for fieldworkers from 30 January to 19 February 2014 in Banepa, Kavre District. Training included lectures on interviewing techniques and the contents of the questionnaires, mock interviews between trainees to gain practice in asking questions, and demonstration on anthropometric measurement and water quality test. Towards the end of the training period, trainees spent four days in practice interviewing in villages near to Banepa.
The data were collected by 15 field teams. Each team consisted of a supervisor, three female interviewers and a data editor. One team collected data, on the average, from 35 clusters (enumeration areas). In total, 90 people worked in the field over a period. Fieldwork began in February, 2014 and concluded in July 2014. Field supervision is conducted by central level including core team, Branch Statistics Officer, Filed supervisor, UNICEF country office.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Central Bureau of Statistics | CBS | GoN |
Questionnaires
Questionnaires
Four sets of questionnaires were used in the survey: (1) a household questionnaire which was used to collect basic demographic information on all de jure household members (usual residents), the household, and the dwelling; (2) a questionnaire for individual women administered in each household to all women aged 15-49 years; (3) an under-fives questionnaire, administered to mothers (or caretakers)for all children under five years of age living in the household; and (4) a water quality testing questionnaire to test for bacteria and measure E. coli content in household drinking water in a sub-sample of the households. The questionnaires included the following modules:
The Household Questionnaire included the following modules:
· List of Household Members
· Education
· Child Labour
· Child Discipline
· Household Characteristics
· Water and Sanitation
· Handwashing
· Salt Iodization
The Questionnaire for Individual Women was administered to all women aged 15-49 years living in the households, and included the following modules:
· Woman's Background
· Access to Mass Media and Use of Information/Communication Technology
· Fertility/Birth History
· Desire for Last Birth
· Maternal and Newborn Health
· Post-natal Health Checks
· Illness Symptoms
· Contraception
· Unmet Need
· Attitudes Toward Domestic Violence
· Marriage/Union
· HIV/AIDS
· Tobacco and Alcohol Use
· Life Satisfaction
The Questionnaire for Children Under Five was administered to mothers (or caretakers) of children under five years of age living in the households. Normally, the questionnaire was administered to mothers of under-fives; in cases when the mother was not listed in the household roster, a primary caretaker for the child was identified and interviewed. The questionnaire included the following modules:
· Age
· Birth Registration
· Early Childhood Development
· Breastfeeding and Dietary Intake
· Immunization
· Care of Illness
· Anthropometry
The Questionnaire for Water Quality Testing was administered to a sub-sample of selected households for measuring E. coli content in the household drinking water and included only one module:
· Water Quality
The questionnaires are based on the MICS5 model questionnaire. From the MICS5 model English version, the questionnaires were customized and translated into Nepali, Maithili and Bhojpuri. Pre-test training was conducted in Dhulikhel, Kavre District, from 25 October to 2 November 2013. Pre-test fieldwork was conducted in 25 households of both urban and rural locations in Sindhupalchowk District (Mountains), Tanahun District (Hills) and Dhanusa District (Terai) during November 2013. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires. A copy of the Nepal MICS questionnaires is provided in Appendix F.
In addition to the administration of questionnaires, fieldwork teams tested the salt used for cooking in the households for iodine content, observed the place for handwashing, and measured the weights and heights of children under five. Details and findings of these observations and measurements are provided in the respective sections of the report.
The Household Questionnaire included the following modules:
· List of Household Members
· Education
· Child Labour
· Child Discipline
· Household Characteristics
· Water and Sanitation
· Handwashing
· Salt Iodization
The Questionnaire for Individual Women was administered to all women aged 15-49 years living in the households, and included the following modules:
· Woman's Background
· Access to Mass Media and Use of Information/Communication Technology
· Fertility/Birth History
· Desire for Last Birth
· Maternal and Newborn Health
· Post-natal Health Checks
· Illness Symptoms
· Contraception
· Unmet Need
· Attitudes Toward Domestic Violence
· Marriage/Union
· HIV/AIDS
· Tobacco and Alcohol Use
· Life Satisfaction
The Questionnaire for Children Under Five was administered to mothers (or caretakers) of children under five years of age living in the households. Normally, the questionnaire was administered to mothers of under-fives; in cases when the mother was not listed in the household roster, a primary caretaker for the child was identified and interviewed. The questionnaire included the following modules:
· Age
· Birth Registration
· Early Childhood Development
· Breastfeeding and Dietary Intake
· Immunization
· Care of Illness
· Anthropometry
The Questionnaire for Water Quality Testing was administered to a sub-sample of selected households for measuring E. coli content in the household drinking water and included only one module:
· Water Quality
The questionnaires are based on the MICS5 model questionnaire. From the MICS5 model English version, the questionnaires were customized and translated into Nepali, Maithili and Bhojpuri. Pre-test training was conducted in Dhulikhel, Kavre District, from 25 October to 2 November 2013. Pre-test fieldwork was conducted in 25 households of both urban and rural locations in Sindhupalchowk District (Mountains), Tanahun District (Hills) and Dhanusa District (Terai) during November 2013. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires. A copy of the Nepal MICS questionnaires is provided in Appendix F.
In addition to the administration of questionnaires, fieldwork teams tested the salt used for cooking in the households for iodine content, observed the place for handwashing, and measured the weights and heights of children under five. Details and findings of these observations and measurements are provided in the respective sections of the report.
Data Processing
Data Editing
Data were entered using CSPro software, Version 5.0. Data were entered on 10 desktop computers by 10 data-entry operators, overseen by one data-entry supervisor with one computer and two secondary editors. For quality assurance purposes, all questionnaires were double-entered and internal consistency checks were performed. Procedures and standard programs developed under the global MICS programme and adapted to the Nepal questionnaire were used throughout. Data processing began simultaneously with data collection in March 2014 and was completed in July 2014.
Other Processing
Data were analysed using the Statistical Package for Social Sciences (SPSS) software, Version 21.0. Model syntax and tabulation plans developed by UNICEF were customized and used for this purpose.
In order to ensure quality control, all questionnaires were double entered and internal consistency checks were performed. Procedures and standard programs developed under the global MICS5 programme and adapted to the Nepal questionnaire were used throughout.
In order to ensure quality control, all questionnaires were double entered and internal consistency checks were performed. Procedures and standard programs developed under the global MICS5 programme and adapted to the Nepal questionnaire were used throughout.
Data Appraisal
Estimates of Sampling Error
For the calculation of sampling errors from MICS data, programs developed in CSPro Version 5.0, SPSS Version 21 Complex Samples module and CMRJack have been used.
The results are shown in the tables that follow. In addition to the sampling error measures described above, the tables also include weighted and unweighted counts of denominators for each indicator. Given the use of normalized weights, by comparing the weighted and unweighted counts it is possible to determine whether a particular domain has been under-sampled or over-sampled compared to the average sampling rate. If the weighted count is smaller than the unweighted count, this means that the particular domain had been over-sampled. As explained later in the footnote of Table SE.1, there is an exception in the case of indicators 4.1 and 4.3, for which the unweighted count represents the number of sample households, and the weighted counts reflect the total population.
Sampling errors are calculated for indicators of primary interest, for the national level, for urban and rural areas, and for all regions. Six of the selected indicators are based on household and households members, 15 are based on women, and 22 are based on children under five. Table SE.1 shows the list of indicators for which sampling errors are calculated, including the base population (denominator) for each indicator. Tables SE.2 to SE.18 show the calculated sampling errors for selected domains.
The results are shown in the tables that follow. In addition to the sampling error measures described above, the tables also include weighted and unweighted counts of denominators for each indicator. Given the use of normalized weights, by comparing the weighted and unweighted counts it is possible to determine whether a particular domain has been under-sampled or over-sampled compared to the average sampling rate. If the weighted count is smaller than the unweighted count, this means that the particular domain had been over-sampled. As explained later in the footnote of Table SE.1, there is an exception in the case of indicators 4.1 and 4.3, for which the unweighted count represents the number of sample households, and the weighted counts reflect the total population.
Sampling errors are calculated for indicators of primary interest, for the national level, for urban and rural areas, and for all regions. Six of the selected indicators are based on household and households members, 15 are based on women, and 22 are based on children under five. Table SE.1 shows the list of indicators for which sampling errors are calculated, including the base population (denominator) for each indicator. Tables SE.2 to SE.18 show the calculated sampling errors for selected domains.
Data Appraisal
Data quality tables available to review the quality of the data are:
1. Age distribution of household population i.e. Single year age distribution of household population by sex.
2. Age distribution of eligible and interviewed women
3. Age distribution of under 5s in household and under 5 questionnaires
4. Womens completion rates by socio economic charaterstics of households.
5. Completion rates for under-5 questionnaires by socio-economic characteristics of households
6. Completeness of reporting
7. Observation of women's health cards
8. Observation of under-5s birth certificates
9. Observation of vaccination cards
1. Age distribution of household population i.e. Single year age distribution of household population by sex.
2. Age distribution of eligible and interviewed women
3. Age distribution of under 5s in household and under 5 questionnaires
4. Womens completion rates by socio economic charaterstics of households.
5. Completion rates for under-5 questionnaires by socio-economic characteristics of households
6. Completeness of reporting
7. Observation of women's health cards
8. Observation of under-5s birth certificates
9. Observation of vaccination cards
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Director General | Central Bureau of Statistics | dg@cbs.gov.np | www.cbs.gov.np |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Director of Publication, Dissemination and Library Section | Central Bureau of Statistics | archive@cbs.gov.np | www.cbs.gov.np |
Confidentiality
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.
Access conditions
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.
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.
Citation requirements
Central Bureau of Statistics (CBS), Nepal. Nepal Multiple Indicator Cluster Survey 2014 (NMICS 2014).Information provided by National Data Archive (NADA): http://cbs.gov.np/nada/index.php/catalog on [date].
Disclaimer and copyrights
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.
Copyright
(c) 2015, Central Bureau of Statistics, Government of Nepal.
Metadata production
DDI Document ID
DDI-NPL-CBS-NMICS-2014-v01
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Central Bureau of Statistics | CBS | National Planning Commission Secretariat, Government of Nepal | Metadata Documentation |
Date of Metadata Production
2015-08-15
DDI Document version
Version 01 (August 2015): original documenation of the study.