Nepal Multiple Indicator Cluster Survey 2010
Nepal, 2010
Central Bureau of Statistics
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Identification
Survey ID Number
NPL-CBS-NMICS-2010-v1
Title
Nepal Multiple Indicator Cluster Survey 2010
Country
| Name | Country code |
|---|---|
| Nepal | NPL |
Study type
Multiple Indicator Cluster Survey - Round 4 [hh/mics-4]
Series Information
The Nepal Multiple Indicator Cluster Survey 2010 is similar type of survey as round 4, MICS, previously conducted around 1995 (MICS1), 2000 (MICS2), and 2005 (MICS3). But Nepal did not participate in MICS1 and MICS3. In MICS 2, Nepal participated and the survey was renamed as BCHIMES 2000 (Between Census Household Information system in 2000). Thus, NMICS 2010 can be considered as second in series.
Abstract
Nepal Multiple indicator Cluster Survey (NMICS) was conducted in 2010 by Central Bureau of Statistics (CBS) with the primary objective of filling the data gap on children and women that existed particularly in the Mid-western and Far-western regions of Nepal. The NMICS 2010 was implemented as part of the fourth round of the global MICS household survey programme with technical and financial support of UNICEF, Nepal.
NMICS 2010 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 the regions. These data will help to monitor towards goals and targets of international agreements such as Millennium Development Goals (MDGs) and World Fit for Children (WFFC). The NMICS 2010 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, communication technology, attitude towards domestic violence, tobacco and alcohol use and life satisfaction.
NMICS 2010 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 the regions. These data will help to monitor towards goals and targets of international agreements such as Millennium Development Goals (MDGs) and World Fit for Children (WFFC). The NMICS 2010 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, communication technology, attitude towards domestic violence, tobacco and alcohol use and life satisfaction.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
household, woman aged 15-49 years, child aged 0-4 years
Version
Version Description
v1: Clean, edited, for internal use.
Version Date
2011-03
Scope
Notes
The Nepal Multiple Indicator Cluster Survey included the following demographics for:
HOUSEHOLD: Household listing, household characteristics, education, water and sanitation, child labour, child discipline, hand washing, deworming 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, deworming 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 |
|---|---|
| Education | World Bank |
| Nutrition | World Bank |
| HIV/AIDS | World Bank |
| Millennium Development Goals | World Bank |
Coverage
Geographic Coverage
National Mid-Western and Far-Western regions Urban and rural areas
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.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Central Bureau of Statistics | National Planning Commission Secretariat, Government of Nepal |
Producers
| Name | Affiliation | Role |
|---|---|---|
| UNICEF Nepal Country Office | UNICEF | Technical and Financial Support |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| UNICEF Nepal Country Office | UNICEF CO | Funding of survey implementation |
Sampling
Sampling Procedure
The sample for the Nepal Multiple Indicator Cluster Survey (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 six domains in the Mid- and Far-Western regions:
a. Mid-Western Mountains
b. Mid-Western Hills
c. Mid-Western Terai
d. Far-Western Mountains
e. Far-Western Hills and
f. 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 domain, 40 clusters (wards) were selected systematically with probability proportional to size, to yield a total of 240 wards. After a household listing was carried out within the selected wards, a systematic sample of 25 households was drawn from each ward. Smaller wards, where the total number of households was less than 25, were grouped with adjoining wards to bring the number of households to at least 25. Two adjoining wards were grouped together in nine clusters: one rural cluster each in Achham, Dolpa and Kailali and two rural clusters each in Baitadi, Bajhang and Humla.
Similarly, in case of large wards, especially in the urban areas or municipalities, census enumeration blocks were used. Enumeration blocks were created by segmenting large wards for the purpose of the population census 2011 by GIS section with CBS. Out of 50 urban clusters, enumeration blocks were used in 22 clusters of large urban municipalities in the five districts of Banke, Dang, Kailali, Kanchanpur and Surkhet. Thus a total of 5,998 households were selected for the interviewing process, out of which 1,250 represented the urban areas (Municipalities) and remaining 4,750 represented the rural areas (Village Development Committees or VDCs). The sample was stratified by regions and is not self-weighting. However, sample weights were applied in the reporting of sub-regional results.
In the actual survey, the number of households successfully interviewed was 5899. Among those households the women aged 15-49, 7372 and children 0-4 years, 3574.
a. Mid-Western Mountains
b. Mid-Western Hills
c. Mid-Western Terai
d. Far-Western Mountains
e. Far-Western Hills and
f. 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 domain, 40 clusters (wards) were selected systematically with probability proportional to size, to yield a total of 240 wards. After a household listing was carried out within the selected wards, a systematic sample of 25 households was drawn from each ward. Smaller wards, where the total number of households was less than 25, were grouped with adjoining wards to bring the number of households to at least 25. Two adjoining wards were grouped together in nine clusters: one rural cluster each in Achham, Dolpa and Kailali and two rural clusters each in Baitadi, Bajhang and Humla.
Similarly, in case of large wards, especially in the urban areas or municipalities, census enumeration blocks were used. Enumeration blocks were created by segmenting large wards for the purpose of the population census 2011 by GIS section with CBS. Out of 50 urban clusters, enumeration blocks were used in 22 clusters of large urban municipalities in the five districts of Banke, Dang, Kailali, Kanchanpur and Surkhet. Thus a total of 5,998 households were selected for the interviewing process, out of which 1,250 represented the urban areas (Municipalities) and remaining 4,750 represented the rural areas (Village Development Committees or VDCs). The sample was stratified by regions and is not self-weighting. However, sample weights were applied in the reporting of sub-regional results.
In the actual survey, the number of households successfully interviewed was 5899. Among those households the women aged 15-49, 7372 and children 0-4 years, 3574.
Response Rate
Of the 6000 households selected for the sample, 5,917 were found to be occupied. Of these, 5,899 were successfully interviewed for a household response rate of 99.7 percent. In the interviewed households, 7,674 women (age 15-49 years) were identified. Of these, 7,372 were successfully interviewed, yielding a response rate of 96.1 percent within interviewed households. In addition, 3,688 children under age five were listed in the household questionnaire. Questionnaires were completed for 3,574 of these children, which corresponds to a response rate of 96.9 percent within interviewed households. Overall response rates of 95.8 and 96.6 are calculated for the women's and under-5's interviews respectively.
The overall response rate for women and children under five is slightly higher in rural area compared to urban area, but the response rate for households was same for both areas. The response rates for households, women and under five children were similar (above 95 percent) across all regions.
The overall response rate for women and children under five is slightly higher in rural area compared to urban area, but the response rate for households was same for both areas. The response rates for households, women and under five children were similar (above 95 percent) across all regions.
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 |
|---|---|
| 2010-10 | 2010-12 |
Time periods
| Start date | End date |
|---|---|
| 2009 | 2010 |
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 three months. Out of 60 personnel recruited there were 12 males and the rest were females. 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 Kathmandu. The training was organized into three groups containing 20 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.
The training was spread over 11 working days, from September 19, 2010 to September 29, 2010. Except for the field practice and a few other sessions, each day was made up of four sessions. At the end of each questionnaire, mock interviews were conducted between the participants. For the mock interviews, participants worked as scheduled in groups of two persons. Besides above activities, some class exercises were also given to the participants.
The data were collected by 12 field teams. Each team consisted of a supervisor, three female interviewers and a data editor. One team collected data, on the average, from 20 clusters (enumeration areas). In total, 60 people worked in the field over a period of about two and half months. Fieldwork began in October 2010 and concluded in December 2010.
The venue for the residential training was set at Banepa, Kavrepalanchowk district near Kathmandu. The training was organized into three groups containing 20 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.
The training was spread over 11 working days, from September 19, 2010 to September 29, 2010. Except for the field practice and a few other sessions, each day was made up of four sessions. At the end of each questionnaire, mock interviews were conducted between the participants. For the mock interviews, participants worked as scheduled in groups of two persons. Besides above activities, some class exercises were also given to the participants.
The data were collected by 12 field teams. Each team consisted of a supervisor, three female interviewers and a data editor. One team collected data, on the average, from 20 clusters (enumeration areas). In total, 60 people worked in the field over a period of about two and half months. Fieldwork began in October 2010 and concluded in December 2010.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Central Bureau of Statistics | CBS | Government of Nepal |
Questionnaires
Questionnaires
The standard MICS4 questionnaires have been adapted to include several country-specific modules as well as all the standard questions from the questionnaire modules. Three sets of questionnaires were used in the survey:
1) A household questionnaire which was used to collect information on all de jure household members (usual residents), the household, and the dwelling.
2) A women's questionnaire administered in each household to all women aged 15-49 years; and
3) An under-5 questionnaire, administered to mothers or caretakers for all children under-5 living in the household.
The household questionnaire included the following modules:
- Household Listing Form
- Education
- Water and Sanitation
- Household Characteristics
- Child Labour
- De-worming (Nepal Specific Module)
- Child Discipline
- 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:
- Women's Background
- Access to Mass Media and Use of Information Communication Technology
- Desire for Last Birth
- Maternal and Newborn Health
- Illness Symptoms
- Contraception
- Unmet Need
- Attitudes towards 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-5 years of age living in the households. Normally, the questionnaire was administered to mothers of under-5 children; 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
- Care of Illness
- Malaria
- Immunization
- Child Grant (Nepal Specific Module)
The questionnaires are based on the MICS4 model questionnaire. From the MICS4 model English version, the questionnaires were translated into Nepali and two other local dialects, Tharu and Awadhi, which are spoken in the Terai region and were pre-tested in Jumla (Mountain/Rural), Salyan (Hill/Rural) and Banke (Terai/Urban) during July 2010. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires. However, due to sensitivity of language issues in present transitional political context of the country and implication on other surveys to be conducted by CBS, Nepali questionnaire was used to record the data.
In addition to the administration of questionnaires, fieldwork teams tested the salt used for cooking in the households for iodine content and observed the place for handwashing.
1) A household questionnaire which was used to collect information on all de jure household members (usual residents), the household, and the dwelling.
2) A women's questionnaire administered in each household to all women aged 15-49 years; and
3) An under-5 questionnaire, administered to mothers or caretakers for all children under-5 living in the household.
The household questionnaire included the following modules:
- Household Listing Form
- Education
- Water and Sanitation
- Household Characteristics
- Child Labour
- De-worming (Nepal Specific Module)
- Child Discipline
- 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:
- Women's Background
- Access to Mass Media and Use of Information Communication Technology
- Desire for Last Birth
- Maternal and Newborn Health
- Illness Symptoms
- Contraception
- Unmet Need
- Attitudes towards 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-5 years of age living in the households. Normally, the questionnaire was administered to mothers of under-5 children; 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
- Care of Illness
- Malaria
- Immunization
- Child Grant (Nepal Specific Module)
The questionnaires are based on the MICS4 model questionnaire. From the MICS4 model English version, the questionnaires were translated into Nepali and two other local dialects, Tharu and Awadhi, which are spoken in the Terai region and were pre-tested in Jumla (Mountain/Rural), Salyan (Hill/Rural) and Banke (Terai/Urban) during July 2010. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires. However, due to sensitivity of language issues in present transitional political context of the country and implication on other surveys to be conducted by CBS, Nepali questionnaire was used to record the data.
In addition to the administration of questionnaires, fieldwork teams tested the salt used for cooking in the households for iodine content and observed the place for handwashing.
Data Processing
Data Editing
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 MICS4 programme and adapted to the Nepal questionnaire were used throughout.
Other Processing
Data were entered using the CSPro software. The data were entered on four microcomputers and carried out by 4 data entry operators and 2 data entry supervisors.
Data were analyzed using the Statistical Package for Social Sciences (SPSS) software program, Version 18, and the model syntax and tabulation plans developed by UNICEF were used for this purpose.
Data were analyzed using the Statistical Package for Social Sciences (SPSS) software program, Version 18, and the model syntax and tabulation plans developed by UNICEF were used for this purpose.
Data Appraisal
Estimates of Sampling Error
The sample of respondents selected in the Nepal Multiple Indicator Cluster Survey is only one of the samples that could have been selected from the same population, using the same design and size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between the estimates from all possible samples. The extent of variability is not known exactly, but can be estimated statistically from the survey data.
The following sampling error measures were computed for selected indicators:
1. Standard error (se): Sampling errors are usually measured in terms of standard errors for particular indicators (means, proportions etc.). Standard error is the square root of the variance of the estimate. The Taylor linearization method is used for the estimation of standard errors.
2. Coefficient of variation (se/r) is the ratio of the standard error to the value of the indicator, and is a measure of the relative sampling error.
3. Design effect (deff) is the ratio of the actual variance of an indicator, under the sampling method used in the survey, to the variance calculated under the assumption of simple random sampling. The square root of the design effect (deft) is used to show the efficiency of the sample design in relation to the precision. A deft value of 1.0 indicates that the sample design is as efficient as a simple random sample, while a deft value above 1.0 indicates the increase in the standard error due to the use of a more complex sample design.
4. Confidence limits are calculated to show the interval within which the true value for the population can be reasonably assumed to fall, with a specified level of confidence. For any given statistic calculated from the survey, the value of that statistic will fall within a range of plus or minus two times the standard error (r + 2.se or r - 2.se) of the statistic in 95 percent of all possible samples of identical size and design.
For the calculation of sampling errors from NMICS data, SPSS Version 18 Complex Samples module has been used.
Sampling errors are calculated for indicators of primary interest, for the sub national level, for the subregions, and for urban and rural areas. Three of the selected indicators are based on households, 8 are based on household members, 13 are based on women, and 15 are based on children under 5. All indicators presented are in the form of proportions.
The following sampling error measures were computed for selected indicators:
1. Standard error (se): Sampling errors are usually measured in terms of standard errors for particular indicators (means, proportions etc.). Standard error is the square root of the variance of the estimate. The Taylor linearization method is used for the estimation of standard errors.
2. Coefficient of variation (se/r) is the ratio of the standard error to the value of the indicator, and is a measure of the relative sampling error.
3. Design effect (deff) is the ratio of the actual variance of an indicator, under the sampling method used in the survey, to the variance calculated under the assumption of simple random sampling. The square root of the design effect (deft) is used to show the efficiency of the sample design in relation to the precision. A deft value of 1.0 indicates that the sample design is as efficient as a simple random sample, while a deft value above 1.0 indicates the increase in the standard error due to the use of a more complex sample design.
4. Confidence limits are calculated to show the interval within which the true value for the population can be reasonably assumed to fall, with a specified level of confidence. For any given statistic calculated from the survey, the value of that statistic will fall within a range of plus or minus two times the standard error (r + 2.se or r - 2.se) of the statistic in 95 percent of all possible samples of identical size and design.
For the calculation of sampling errors from NMICS data, SPSS Version 18 Complex Samples module has been used.
Sampling errors are calculated for indicators of primary interest, for the sub national level, for the subregions, and for urban and rural areas. Three of the selected indicators are based on households, 8 are based on household members, 13 are based on women, and 15 are based on children under 5. All indicators presented are in the form of proportions.
Data Appraisal
Data quality tables available to review the quality of the data:
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. Women's completion rates by socio economic characteristics 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. Women's completion rates by socio economic characteristics 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 | http://cbs.gov.np/ |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Director of Publication, Distribution and Library Section | Central Bureau of Statistics | archive@cbs.gov.np | http://cbs.gov.np/nada/ |
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 has been supplied, obtained or prepared pursuant to section 3, section 4, section 5, section 6 ot 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 officer of the Bureau without the written person or of his authorised representative supplying such information or details.
Access conditions
The dataset has been anonymized and is available as a Public Use Dataset from CBS premises under 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 (CBS).
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 (CBS).
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, Nepal, Nepal Multiple Indicator Cluster Survey 2010 (NMIS 2010) provided by National Data Archive (NADA): www.cbs.gov.np".
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.
Copyright
(c) 2011, Central Bureau of Statistics, Government of Nepal
Metadata production
DDI Document ID
NPL-CBS-NMICS-2010-v02
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Central Bureau of Statistics | CBS | National Planning Commission Secretariat, Government of Nepal | Documentation of the study |
Date of Metadata Production
2012-03-12
DDI Document version
Version 01: Central Bureau of Statistics - Original documentation of the study.
Version 02: Revised version of metadata as per the recommendation of ADP assessement report, 25 October 2015.
Version 02: Revised version of metadata as per the recommendation of ADP assessement report, 25 October 2015.