Nepal Multiple Indicator Cluster Survey 2019
Nepal, 2019
Central Bureau of Statistics
Created on January 30, 2022
Last modified January 30, 2022
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Identification
Survey ID Number
NPL-CBS-NMICS-2019-v1
Title
Nepal Multiple Indicator Cluster Survey 2019
Translated Title
Nepal Bahusuchak Sarwekshan 2075/76
Country
| Name | Country code |
|---|---|
| Nepal | NPL |
Study type
Multiple Indicator Cluster Survey - Round 6 [hh/mics-6]
Series Information
This is part of global 6th round of MICS. However this is conducted third time in Nepal. The first one was conducted in 2010 covering only the mid & far western development regions of Nepal. The second one was conducted in 2014 and the third one conducted in 2019 both covering whole of Nepal.
Abstract
Nepal Multiple indicator Cluster Survey (NMICS) was conducted in 2019 by Central Bureau of Statistics (CBS) with the primary objective of filling the data gap on children, women and men of Nepal. The NMICS 2019 was implemented as part of the sixth round of the global MICS household survey programme with technical and financial support of UNICEF, Nepal. NMICS 2019 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 Sustainable Development Goal. The NMICS 2019 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 2019 Nepal MICS has as its primary objectives:
· To provide up-to-date information for assessing the situation of children, women and men in Nepal;
· To generate 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 Sustainable Development 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.
· To provide up-to-date information for assessing the situation of children, women and men in Nepal;
· To generate 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 Sustainable Development 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, Women aged 15-49 years, Men aged 15-49 years, Children Under 5, Children Aged 5-17
Version
Version Description
Version 01 : Final micro data for public use.
Version Date
2022-01-18
Scope
Notes
The Nepal Multiple Indicator Cluster Survey 2019 collected following information for:
HOUSEHOLD: Household listing, household characteristics, education, social transfer, household energy use, drinking water and sanitation, handwashing facility
WOMEN: Woman's background, access to mass media and use of information and/communication technology, marriage/union, fertility/birth history, desire for last birth, post-natal health checks, maternal and newborn health, illness symptoms, contraception, unmet need, attitudes towards domestic violence, human trafficking, adult functioning, HIV/AIDS knowledge, tobacco and alcoholic use, life satisfaction.
MEN: Man's background, access to mass media and use of information and/communication technology, marriage/union, fertility, attitudes towards domestic violence, human trafficking, adult functioning, HIV/AIDS knowledge, tobacco and alcoholic use, life satisfaction.
CHILDREN UNDER FIVE: Under-Five Child Information, Under-Five Children's background, Birth registration, Early Childhood Development, Child Discipline, Child Functioning, Breastfeeding and Dietary intake, Immunisation, Care of illness and immunization, Anthropometry
CHILDREN AGE 5-17: Child Information, Child's Background, Child Discipline, Child Functioning, Parental involvement, Foundational Learning Skills
WATER QUALITY TEST: Water quality testing- arsenic testing, E-coli
HOUSEHOLD: Household listing, household characteristics, education, social transfer, household energy use, drinking water and sanitation, handwashing facility
WOMEN: Woman's background, access to mass media and use of information and/communication technology, marriage/union, fertility/birth history, desire for last birth, post-natal health checks, maternal and newborn health, illness symptoms, contraception, unmet need, attitudes towards domestic violence, human trafficking, adult functioning, HIV/AIDS knowledge, tobacco and alcoholic use, life satisfaction.
MEN: Man's background, access to mass media and use of information and/communication technology, marriage/union, fertility, attitudes towards domestic violence, human trafficking, adult functioning, HIV/AIDS knowledge, tobacco and alcoholic use, life satisfaction.
CHILDREN UNDER FIVE: Under-Five Child Information, Under-Five Children's background, Birth registration, Early Childhood Development, Child Discipline, Child Functioning, Breastfeeding and Dietary intake, Immunisation, Care of illness and immunization, Anthropometry
CHILDREN AGE 5-17: Child Information, Child's Background, Child Discipline, Child Functioning, Parental involvement, Foundational Learning Skills
WATER QUALITY TEST: Water quality testing- arsenic testing, E-coli
Keywords
| Keyword |
|---|
| Cluster |
| Women |
| Men |
| Children 5-17 |
| Under 5 children |
| Nepal |
Coverage
Geographic Coverage
National, urban and rural, province
Universe
The survey covered all de jure household members (usual residents), all women aged 15-49 years resident in the household, men aged 15-49 years resident in the alternative household, children aged 5-17 resident in the household, and all children aged 0-4 years (under age 5) resident in the household, Ecoli and arsenic test of resouce water & drinking water
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Central Bureau of Statistics | National Planning Commission, GoN |
Producers
| Name | Role |
|---|---|
| United Nations Children' Fund | Technical and Financial Support |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| Government of Nepal | GoN |
| United Nations Children's Fund | UNICEF |
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, women and men at the national level, for urban and rural areas, and for the province.
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 (i.e 512) were selected from each of the sampling strata by using systematic probability proportional to size (pps) sampling procedures, based on the number of households in each enumeratiion area from the 2011 Census frame.
The first stage of sampling was subsequently completed by selecting the required number of sample EAs specified from each of the seven provinces, separately for the urban and rural strata including Kathmandu valley urban. The households were then sequentially numbered from 1 to Mhi (the total number of households in each enumeration area) at the CBS, where the selection of 25 households in each enumeration area was carried out using random systematic selection procedures. The MICS6 spreadsheet template for systematic random selection of households was adapted for this purpose.
The survey also included a questionnaire for individual men that wasto be administered in half of the sampled households. The MICS household selection template includes an option to specify the proportion of households to be selected for administering the individual questionnaire for men, and the spreadsheet automatically selected the corresponding subsample of households.All men age 15 to 49 years in the selected households were eligible for interview.
The households listed in each sample cluster were divided into two strata for the second stage selection: households with and without children under 5. A separate sample of households was selected from each group, using a higher sampling rate for households with children under 5. This sampling strategy increased the number of children under 5 in the sample to increase the precision of the indicators based on under-5 children. Of the 25 households selected in each cluster, the target number of sample households with children under age 5 years was 13. Therefore, in sample clusters where more than 13 households with children under age 5 were listed, 13 of these households were selected using random systematic sampling; and 12 households without children under age 5 were selected from the other stratum. In sample clusters where 13 or less households with children under 5 were listed, all of these households were selected for the survey. In these clusters, the number of households without children under 5 to be selected was equal to 25 minus the number of households with children.
The Nepal MICS also included water quality testing for both E. coli and Arsenic for a subsample of households within each sample cluster. A subsample of 5 of the 25 selected households was selected in each sample cluster using random systematic sampling for conducting water quality testing, for both water in the household and at the source for E. coli, and only at the source for Arsenic. The MICS household selection template includes an option to specify the number of households to be selected for the water quality testing, and the spreadsheet automatically selected the corresponding subsample of households.
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 (i.e 512) were selected from each of the sampling strata by using systematic probability proportional to size (pps) sampling procedures, based on the number of households in each enumeratiion area from the 2011 Census frame.
The first stage of sampling was subsequently completed by selecting the required number of sample EAs specified from each of the seven provinces, separately for the urban and rural strata including Kathmandu valley urban. The households were then sequentially numbered from 1 to Mhi (the total number of households in each enumeration area) at the CBS, where the selection of 25 households in each enumeration area was carried out using random systematic selection procedures. The MICS6 spreadsheet template for systematic random selection of households was adapted for this purpose.
The survey also included a questionnaire for individual men that wasto be administered in half of the sampled households. The MICS household selection template includes an option to specify the proportion of households to be selected for administering the individual questionnaire for men, and the spreadsheet automatically selected the corresponding subsample of households.All men age 15 to 49 years in the selected households were eligible for interview.
The households listed in each sample cluster were divided into two strata for the second stage selection: households with and without children under 5. A separate sample of households was selected from each group, using a higher sampling rate for households with children under 5. This sampling strategy increased the number of children under 5 in the sample to increase the precision of the indicators based on under-5 children. Of the 25 households selected in each cluster, the target number of sample households with children under age 5 years was 13. Therefore, in sample clusters where more than 13 households with children under age 5 were listed, 13 of these households were selected using random systematic sampling; and 12 households without children under age 5 were selected from the other stratum. In sample clusters where 13 or less households with children under 5 were listed, all of these households were selected for the survey. In these clusters, the number of households without children under 5 to be selected was equal to 25 minus the number of households with children.
The Nepal MICS also included water quality testing for both E. coli and Arsenic for a subsample of households within each sample cluster. A subsample of 5 of the 25 selected households was selected in each sample cluster using random systematic sampling for conducting water quality testing, for both water in the household and at the source for E. coli, and only at the source for Arsenic. The MICS household selection template includes an option to specify the number of households to be selected for the water quality testing, and the spreadsheet automatically selected the corresponding subsample of households.
Response Rate
Out of the 12800 households selected for the sample, 12687 were found to be occupied. Among them 12655 were successfully interviewed for a household response rate of 99.7 percent. In the interviewed households, 15,019 women (age 15-49 years) were identified. Of these, 14,805 were successfully interviewed, yielding a response rate of 98.6 percent within interviewed households.5,605 men (age 15-49 years) were identified. Of these, 5,501 were successfully interviewed, yielding a response rate of 97.9 percent within interviewed households. In addition, out of 7,824 eligible children age 5-17, 7,792 mothers/caretakers were interviewed with response rate 99.3 percent and 6,749 children under age five were listed in the household questionnaire of which 6,658 mothers/caretakers were interviewed with response rate of 98.4 percent. Last, the response rate for water quality testing for households was found to be 99.4%
Weighting
The Nepal MICS sample is not self-weighting. Essentially, by allocating a similar number of households to each of the provinces, different sampling fractions were used in each provincesince the number of households in the census frame varies by province. For this reason, sample weights were calculated and used in the subsequent analyses of the survey data.
Since the number of households in each enumeration area (PSU) from the 2011 Census frame used for the first stage selection and the updated number of households in the EA from the listing are generally different, individual overall probabilities of selection for households in each sample EA (cluster) were calculated, separately for households with and without children under 5.
A final 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 in each stratum is equal to 1/RRh where where RRh is the response rate for the sample households in stratum h, defined as the proportion of the number of interviewed households in stratum h out of the number of selected households found to be occupied during the fieldwork in stratum h.
Similarly, adjustment for non-response at the individual level (women, men, and under-5 children) for each stratum is equal to: 1/RRqh where RRqh is the response rate for the individual questionnaires in stratum h, defined as the proportion of eligible individuals (women, men, and under-5 children) in the sample households in stratum h who were successfully interviewed.
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. The non-response adjustment factors for the individual women and under-5 questionnaires were applied to the adjusted household weights. Numbers of eligible women and under-5 children were obtained from the list of household members in the Household Questionnaire for households where interviews were completed.
The weights for the questionnaire for individual men were calculated in a similar way. In this case the number of eligible men in the list of household members in all the MICS sample households in the stratum was used as the numerator of the non-response adjustment factor, while the number of completed questionnaires for men in the stratum was obtained from the 50% subsample of households. Therefore, this adjustment factor includes an implicit sub sampling weighting factor of 2 in addition to the adjustment for the non-response to the individual questionnaire for men.
In the case of the questionnaire for children age 5-17 years one child was randomly selected from the household list of children of the same age range in each sampled household. The household weight for the children age 5-17 years is first adjusted based on the response rate for this questionnaire at the stratum level. Once this adjusted household weight is normalised, it, it is multiplied by the number of children age 5-17 years recorded in the list of household members. Therefore, the weights for the individual children age 5-17 years will vary by sample household. This weighting of the data for the children age 5-17 years old is implemented in the tabulation programs for the corresponding tables.
For the water quality testing (both in household and at source) a subsample of 5 households was selected from the 25 Nepal MICS sample households in each sample cluster. The basic (unadjusted) household weight would be multiplied by the inverse of the sub sampling rate.
Since the response rate may be different for the water quality testing for home consumption and at the source, the basic weights for each were adjusted separately for non-response at the stratum level.
The Nepal MICS full (raw) weights for the households were calculated by multiplying the inverse of the probabilities of selection by the non-response adjustment factor for each stratum. These weights were then standardised (or normalised), one purpose of which is to make the weighted sum of the interviewed sample units equal to the total sample size at the national level. Normalisation is achieved by dividing the full sample weights (adjusted for non response) by the average of these weights across all households at the national level. This is performed by multiplying the sample weights by a constant factor equal to the unweighted number of households at the national level divided by the weighted total number of households (using the full sample weights adjusted for non-response). A similar standardisation procedure was followed in obtaining standardised weights for the individual women, men, under-5 questionnaires
and water quality testing. Adjusted (normalised) household weights varied between 0.117170 and 9.814518 in the 512 sample enumeration areas (clusters).
Sample weights were appended to all data sets and analyses were performed by weighting the data for households, women, men, under-5s, 5-17-year olds and water quality testing with these sample weights.
Since the number of households in each enumeration area (PSU) from the 2011 Census frame used for the first stage selection and the updated number of households in the EA from the listing are generally different, individual overall probabilities of selection for households in each sample EA (cluster) were calculated, separately for households with and without children under 5.
A final 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 in each stratum is equal to 1/RRh where where RRh is the response rate for the sample households in stratum h, defined as the proportion of the number of interviewed households in stratum h out of the number of selected households found to be occupied during the fieldwork in stratum h.
Similarly, adjustment for non-response at the individual level (women, men, and under-5 children) for each stratum is equal to: 1/RRqh where RRqh is the response rate for the individual questionnaires in stratum h, defined as the proportion of eligible individuals (women, men, and under-5 children) in the sample households in stratum h who were successfully interviewed.
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. The non-response adjustment factors for the individual women and under-5 questionnaires were applied to the adjusted household weights. Numbers of eligible women and under-5 children were obtained from the list of household members in the Household Questionnaire for households where interviews were completed.
The weights for the questionnaire for individual men were calculated in a similar way. In this case the number of eligible men in the list of household members in all the MICS sample households in the stratum was used as the numerator of the non-response adjustment factor, while the number of completed questionnaires for men in the stratum was obtained from the 50% subsample of households. Therefore, this adjustment factor includes an implicit sub sampling weighting factor of 2 in addition to the adjustment for the non-response to the individual questionnaire for men.
In the case of the questionnaire for children age 5-17 years one child was randomly selected from the household list of children of the same age range in each sampled household. The household weight for the children age 5-17 years is first adjusted based on the response rate for this questionnaire at the stratum level. Once this adjusted household weight is normalised, it, it is multiplied by the number of children age 5-17 years recorded in the list of household members. Therefore, the weights for the individual children age 5-17 years will vary by sample household. This weighting of the data for the children age 5-17 years old is implemented in the tabulation programs for the corresponding tables.
For the water quality testing (both in household and at source) a subsample of 5 households was selected from the 25 Nepal MICS sample households in each sample cluster. The basic (unadjusted) household weight would be multiplied by the inverse of the sub sampling rate.
Since the response rate may be different for the water quality testing for home consumption and at the source, the basic weights for each were adjusted separately for non-response at the stratum level.
The Nepal MICS full (raw) weights for the households were calculated by multiplying the inverse of the probabilities of selection by the non-response adjustment factor for each stratum. These weights were then standardised (or normalised), one purpose of which is to make the weighted sum of the interviewed sample units equal to the total sample size at the national level. Normalisation is achieved by dividing the full sample weights (adjusted for non response) by the average of these weights across all households at the national level. This is performed by multiplying the sample weights by a constant factor equal to the unweighted number of households at the national level divided by the weighted total number of households (using the full sample weights adjusted for non-response). A similar standardisation procedure was followed in obtaining standardised weights for the individual women, men, under-5 questionnaires
and water quality testing. Adjusted (normalised) household weights varied between 0.117170 and 9.814518 in the 512 sample enumeration areas (clusters).
Sample weights were appended to all data sets and analyses were performed by weighting the data for households, women, men, under-5s, 5-17-year olds and water quality testing with these sample weights.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2019-05-12 | 2019-11-08 |
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 SO 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 SO level field visits were also made on a periodic basis during fieldwork.
Data Collection Notes
The sixth round of MICS in Nepal utilised Computer-Assisted Personal Interviewing (CAPI). The data collection application was based on the CSPro (Census and Survey Processing System) software, Version 6.3, including a dedicated data management platform. Procedures and standards of the global MICS programme were adapted to the Nepal’s MICS questionnaires.The CAPI application was tested in Kavre district during April 2019. Based on the results of the CAPI-test, modifications were made to the questionnaires and application.
Given that there had been many changes in the households enumerated in the 2011 Census, a new listing of households was conducted in all the sample enumeration areas prior to the selection of households. For this purpose, listing teams were trained to visit all the selected enumeration areas and list all households in each enumeration area. Listing was carried over a three-month period from October 2018 to January 2019 by mobilizing 42 teams with two persons (1 lister and 1 mapper) in each team. Central and district level CBS staff members were trained and deployed for listing work. Adequate monitoring during field work was ensured by mobilizing Branch Statistical Officers (SO) located in districts in addition to personnel from CBS’s central office. A field monitoring plan was developed jointly by the CBS, UNICEF and ROSA/HQ team as a guiding document for all the personnel involved during the monitoring of the data collection work in order to ensure consistency.
Training for the fieldwork was conducted for 30 days from 12 April to 11 May 2019. Training included technical capacity building in interviewing techniques, detailed overview and interpretation of the contents of the questionnaires, and practical exercises in interviewing household members, including children. Participants completed full training on paper questionnaires followed by training on the CAPI application. The trainees spent seven days in the field practice and one day in Kavre district where they conducted a full pilot survey. The training agenda was based on the global MICS6 standards and procedures. Anthropometric measurers received a dedicated training on gathering anthropometric data from children under 5. A team of water quality testers received a 5-days intensive training in testing water for E. coli and water source for arsenic. The training was followed by one day of field practice and pilot testing. Field Supervisors attended additional training on the duties of team supervision and responsibilities.
Given that there had been many changes in the households enumerated in the 2011 Census, a new listing of households was conducted in all the sample enumeration areas prior to the selection of households. For this purpose, listing teams were trained to visit all the selected enumeration areas and list all households in each enumeration area. Listing was carried over a three-month period from October 2018 to January 2019 by mobilizing 42 teams with two persons (1 lister and 1 mapper) in each team. Central and district level CBS staff members were trained and deployed for listing work. Adequate monitoring during field work was ensured by mobilizing Branch Statistical Officers (SO) located in districts in addition to personnel from CBS’s central office. A field monitoring plan was developed jointly by the CBS, UNICEF and ROSA/HQ team as a guiding document for all the personnel involved during the monitoring of the data collection work in order to ensure consistency.
Training for the fieldwork was conducted for 30 days from 12 April to 11 May 2019. Training included technical capacity building in interviewing techniques, detailed overview and interpretation of the contents of the questionnaires, and practical exercises in interviewing household members, including children. Participants completed full training on paper questionnaires followed by training on the CAPI application. The trainees spent seven days in the field practice and one day in Kavre district where they conducted a full pilot survey. The training agenda was based on the global MICS6 standards and procedures. Anthropometric measurers received a dedicated training on gathering anthropometric data from children under 5. A team of water quality testers received a 5-days intensive training in testing water for E. coli and water source for arsenic. The training was followed by one day of field practice and pilot testing. Field Supervisors attended additional training on the duties of team supervision and responsibilities.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Central Bureau of Statistics | CBS | National Planning Commission, GoN |
Questionnaires
Questionnaires
Six sets of questionnaires were used in the survey:
1. HH Questionnaire: 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. Children Age 5-17 Questionnaire: an questionnaire was administered to mothers (or caretakers) for all children 5-17 years of age living in the household
3. Children Under 5 Questionnaire: an under-fives questionnaire, administered to mothers (or caretakers)for all children under five years of age living in the household
4. Individual Women Questionnaire: a questionnaire for individual women administered in each household to all women aged 15-49 years
5. Individual Men Questionnaire: a questionnaire for individual men administered in alternative household to all men aged 15-49 years
6. Water Quality Testing Questionnaire: a water quality testing questionnaire to test for bacteria and measure E. coli and arsenic content in household drinking water and source in a sub-sample of the households.
The quesitonnaires developed in English ' MICS6 Model Questionnaires' were modified somehow to Nepalese context where needed and were translated into Nepali version. After an initial review the questionnaires were translated back into English by an independent translator with no prior knowledge of the survey. The back translation version was independently reviewed and compared to the English original. Differences in translation were reviewed and resolved in collaboration with the original translators. The English and Nepali questionnaires were both piloted as part of the survey pretest.
The Household Questionnaire included the following modules:
- Household listing
- household characteristics
- education
- social transfer
- household energy use
- drinking water and sanitation
- handwashing facility
The Individual Women Questionnaire included the following modules:
- Woman's background
- access to mass media and use of information and/communication technology
- marriage/union
- fertility/birth history
- desire for last birth
- post-natal health checks
- maternal and newborn health
- illness symptoms
- contraception
- unmet need
- attitudes towards domestic violence
- human trafficking
- adult functioning
- HIV/AIDS knowledge
- tobacco and alcoholic use
- life satisfaction
The Individual Men Questionnaire included the following modules:
- Man's background
- access to mass media and use of information and/communication technology
- marriage/union
- fertility
- attitudes towards domestic violence
- human trafficking
- adult functioning
- HIV/AIDS knowledge
- tobacco and alcoholic use
- life satisfaction.
The Children Under Five Questionnaire included the following modules:
- Under-Five Child Information
- Under-Five Children's background
- Birth registration
- Early Childhood Development
- Child Discipline
- Child Functioning
- Breastfeeding and Dietary intake
- Immunisation
- Care of illness and immunization
- Anthropometry
The Children age 5-17 included the following modules:
- Child Information
- Child's Background
- Child Discipline
- Child Functioning
- Parental involvement
- Foundational Learning Skills
The water quality test questionnaire included the following modules:
- Water quality testing- arsenic testing
- E-coli
1. HH Questionnaire: 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. Children Age 5-17 Questionnaire: an questionnaire was administered to mothers (or caretakers) for all children 5-17 years of age living in the household
3. Children Under 5 Questionnaire: an under-fives questionnaire, administered to mothers (or caretakers)for all children under five years of age living in the household
4. Individual Women Questionnaire: a questionnaire for individual women administered in each household to all women aged 15-49 years
5. Individual Men Questionnaire: a questionnaire for individual men administered in alternative household to all men aged 15-49 years
6. Water Quality Testing Questionnaire: a water quality testing questionnaire to test for bacteria and measure E. coli and arsenic content in household drinking water and source in a sub-sample of the households.
The quesitonnaires developed in English ' MICS6 Model Questionnaires' were modified somehow to Nepalese context where needed and were translated into Nepali version. After an initial review the questionnaires were translated back into English by an independent translator with no prior knowledge of the survey. The back translation version was independently reviewed and compared to the English original. Differences in translation were reviewed and resolved in collaboration with the original translators. The English and Nepali questionnaires were both piloted as part of the survey pretest.
The Household Questionnaire included the following modules:
- Household listing
- household characteristics
- education
- social transfer
- household energy use
- drinking water and sanitation
- handwashing facility
The Individual Women Questionnaire included the following modules:
- Woman's background
- access to mass media and use of information and/communication technology
- marriage/union
- fertility/birth history
- desire for last birth
- post-natal health checks
- maternal and newborn health
- illness symptoms
- contraception
- unmet need
- attitudes towards domestic violence
- human trafficking
- adult functioning
- HIV/AIDS knowledge
- tobacco and alcoholic use
- life satisfaction
The Individual Men Questionnaire included the following modules:
- Man's background
- access to mass media and use of information and/communication technology
- marriage/union
- fertility
- attitudes towards domestic violence
- human trafficking
- adult functioning
- HIV/AIDS knowledge
- tobacco and alcoholic use
- life satisfaction.
The Children Under Five Questionnaire included the following modules:
- Under-Five Child Information
- Under-Five Children's background
- Birth registration
- Early Childhood Development
- Child Discipline
- Child Functioning
- Breastfeeding and Dietary intake
- Immunisation
- Care of illness and immunization
- Anthropometry
The Children age 5-17 included the following modules:
- Child Information
- Child's Background
- Child Discipline
- Child Functioning
- Parental involvement
- Foundational Learning Skills
The water quality test questionnaire included the following modules:
- Water quality testing- arsenic testing
- E-coli
Data Processing
Data Editing
Data were received at the Central Bureau of Statistics’ central office via Internet File Streaming System (IFSS) integrated into the management application on the supervisors’ tablets. Whenever logistically possible, synchronisation was daily. The central office communicated application updates to field teams through this system. During data collection and following the completion of fieldwork, data were edited according to editing process described in detail in the Guidelines for Secondary Editing, a customised version of the standard MICS6 documentation.
Other Processing
Data were analysed using the Statistical Package for Social Sciences (SPSS) software, Version 23. 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 MICS6 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 MICS6 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 and SPSS Version 23 Complex Samples module have been used.
Sampling errors are calculated for SDG indicators for which SEs can be calculated, and several other MICS indicators. Results are presented for the national level (Table SE.1), for urban and rural areas (Tables SE.2 and SE.3), and for all provinces (Tables SE.4 to SE.25).
Sampling errors are calculated for SDG indicators for which SEs can be calculated, and several other MICS indicators. Results are presented for the national level (Table SE.1), for urban and rural areas (Tables SE.2 and SE.3), and for all provinces (Tables SE.4 to SE.25).
Data Appraisal
In addition to the sampling error measures, weighted and unweighted counts of denominators for each indicator are also included. 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 domain had been over-sampled.
For the following indicators, however, the unweighted count represents the number of sample households, and the weighted counts reflect the total population living in these households.
• Access to electricity
• Primary reliance on clean fuels and technologies for cooking, space heating and lighting
• Use of basic drinking water services
• Use of safely managed drinking water services
• Handwashing facility with water and soap
• Use of basic sanitation services
• Safe disposal in situ of excreta from on-site sanitation facilities
• Population covered by social transfers
For the following indicators, however, the unweighted count represents the number of sample households, and the weighted counts reflect the total population living in these households.
• Access to electricity
• Primary reliance on clean fuels and technologies for cooking, space heating and lighting
• Use of basic drinking water services
• Use of safely managed drinking water services
• Handwashing facility with water and soap
• Use of basic sanitation services
• Safe disposal in situ of excreta from on-site sanitation facilities
• Population covered by social transfers
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 | CBS | microdata@cbs.gov.np | 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 available for public via online.
Citation requirements
Central Bureau of Statistics (CBS), Nepal. Nepal Multiple Indicator Cluster Survey 2019 (NMICS 2019).Information provided by Microdata Catelog/National Data Archive (NADA): https://microdata.cbs.gov.np/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) 2022, Central Bureau of Statistics, Government of Nepal
Metadata production
DDI Document ID
DDI-NPL-CBS-NMICS-2019-v01
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Central Bureau of Statistics | CBS | National Planning Commission, Government of Nepal | Metadata Documentation |
Date of Metadata Production
2022-01-18
DDI Document version
Version 01 (January 2022): original documenation of the study