Demographic and Health Survey 2014
Bangladesh, 2014
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Reference ID
BGD_2014_DHS_v01_M
Producer(s)
National Institute of Population Research and Training (NIPORT)
Created on
Jul 06, 2017
Last modified
Jul 06, 2017
Page views
47455
Identification
Survey ID Number
BGD_2014_DHS_v01_M
Title
Demographic and Health Survey 2014
Country
| Name | Country code |
|---|---|
| Bangladesh | BGD |
Study type
Demographic and Health Survey (Standard) - DHS VII
Series Information
Bangladesh Demographic and Health Survey (BDHS) 2014 is the seventh national-level demographic and health survey designed to provide information to address the monitoring and evaluation needs of the Health, Population and Nutrition Sector Development Program (HPNSDP) and to provide managers and policy makers involved in this program with the information that they need to effectively plan and implement future interventions. The survey generates evidences on basic national indicators of social progress including fertility, childhood mortality, fertility preferences and fertility regulation, maternal and child health, nutritional status of mothers and children, and awareness and attitude towards HIV/AIDS.
Abstract
The 2014 Bangladesh Demographic and Health Survey (BDHS) is the seventh DHS undertaken in Bangladesh, following those implemented in 1993-94, 1996-97, 1999-2000, 2004, 2007, and 2011. The main objectives of the 2014 BDHS are to:
• Provide information to meet the monitoring and evaluation needs of the health, population, and nutrition sector development program (HPNSDP)
• Provide program managers and policy makers involved in the program with the information they need to plan and implement future interventions
The specific objectives of the 2014 BDHS were as follows:
• To provide up-to-date data on demographic rates, particularly fertility and infant, and child mortality rates, at the national and divisional level
• To measure the level of contraceptive use of currently married women
• To provide data on maternal and child health, including antenatal care, assistance at delivery, postnatal care, newborn care, breastfeeding, immunizations, and prevalence and treatment of diarrhea and other diseases among children under age 5
• To assess the nutritional status of children (under age 5) and women by means of anthropometric measurements (weight and height), and to assess infant and child feeding practices
• To provide data on knowledge and attitudes of women about sexually transmitted infections and HIV/AIDS
• To measure key education indicators, including school attendance ratios
• To provide community-level data on accessibility and availability of health and family planning services
• Provide information to meet the monitoring and evaluation needs of the health, population, and nutrition sector development program (HPNSDP)
• Provide program managers and policy makers involved in the program with the information they need to plan and implement future interventions
The specific objectives of the 2014 BDHS were as follows:
• To provide up-to-date data on demographic rates, particularly fertility and infant, and child mortality rates, at the national and divisional level
• To measure the level of contraceptive use of currently married women
• To provide data on maternal and child health, including antenatal care, assistance at delivery, postnatal care, newborn care, breastfeeding, immunizations, and prevalence and treatment of diarrhea and other diseases among children under age 5
• To assess the nutritional status of children (under age 5) and women by means of anthropometric measurements (weight and height), and to assess infant and child feeding practices
• To provide data on knowledge and attitudes of women about sexually transmitted infections and HIV/AIDS
• To measure key education indicators, including school attendance ratios
• To provide community-level data on accessibility and availability of health and family planning services
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Household
- Individual
- Children age 0-5
- Ever married Women age 15-49
- Individual
- Children age 0-5
- Ever married Women age 15-49
Scope
Notes
The 2014 Bangladesh Demographic and Health Survey covered the following topics:
HOUSEHOLD
• Identification
• Usual members and visitors in the selected households
• Background information on each person listed, such as relationship to head of the household, age, sex, marital status, school attendance, work status, and anthropometry
• Characteristics of the household's dwelling unit, such as the source of water, type of toilet facilities, materials used for the floor, roof and walls of the house, and ownership of various durable goods (these items are used as proxy indicators of the household's socioeconomic status)
• Weight and height measurement for children age 0-5
• Weight and height measurement for ever-married women age 15-49
EVER-MARRIED WOMAN
• Background characteristics (e.g., age, education, religion, media exposure)
• Reproductive history
• Use and source of family planning methods
• Antenatal, delivery, postnatal, and newborn care
• Breastfeeding and infant feeding practices
• Child immunizations and illnesses
• Marriage
• Fertility preferences
• Husband’s background and respondent’s work
• Awareness of AIDS and other sexually transmitted infections
COMMUNITY
• Identification
• Community information
• Identification of health facilities
• List of the health and family planning workers
• List depotholders
• Availability of doctors (allopathic, homeopathic) and pharmacies
• List of doctors
HOUSEHOLD
• Identification
• Usual members and visitors in the selected households
• Background information on each person listed, such as relationship to head of the household, age, sex, marital status, school attendance, work status, and anthropometry
• Characteristics of the household's dwelling unit, such as the source of water, type of toilet facilities, materials used for the floor, roof and walls of the house, and ownership of various durable goods (these items are used as proxy indicators of the household's socioeconomic status)
• Weight and height measurement for children age 0-5
• Weight and height measurement for ever-married women age 15-49
EVER-MARRIED WOMAN
• Background characteristics (e.g., age, education, religion, media exposure)
• Reproductive history
• Use and source of family planning methods
• Antenatal, delivery, postnatal, and newborn care
• Breastfeeding and infant feeding practices
• Child immunizations and illnesses
• Marriage
• Fertility preferences
• Husband’s background and respondent’s work
• Awareness of AIDS and other sexually transmitted infections
COMMUNITY
• Identification
• Community information
• Identification of health facilities
• List of the health and family planning workers
• List depotholders
• Availability of doctors (allopathic, homeopathic) and pharmacies
• List of doctors
Coverage
Geographic Coverage
National coverage
The survey was designed to produce representative results for the country as a whole, for the urban and the rural areas separately, and for each of the seven administrative divisions.
The survey was designed to produce representative results for the country as a whole, for the urban and the rural areas separately, and for each of the seven administrative divisions.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| National Institute of Population Research and Training (NIPORT) | Ministry of Health and Family Welfare, Government of Bangladesh |
Producers
| Name | Role |
|---|---|
| Mitra and Associates | Implemented the study |
| ICF International | Provided technical assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Government of Bangladesh | GovBGD | Funded the study |
| United States Agency for International Development | USAID | Funded the study |
Sampling
Sampling Procedure
Sample Design
The sample for the 2014 BDHS is nationally representative and covers the entire population residing in noninstitutional dwelling units in the country. The survey used a sampling frame from the list of enumeration areas (EAs) of the 2011 Population and Housing Census of the People's Republic of Bangladesh, provided by the Bangladesh Bureau of Statistics (BBS). The primary sampling unit (PSU) for the survey is an EA created to have an average of about 120 households.
Bangladesh is divided into seven administrative divisions: Barisal, Chittagong, Dhaka, Khulna, Rajshahi, Rangpur, and Sylhet. Each division is divided into zilas, and each zila into upazilas. Each urban area in an upazila is divided into wards, which are further subdivided into mohallas. A rural area in an upazila is divided into union parishads (UPs) and, within UPs, into mouzas. These divisions allow the country as a whole to be separated into rural and urban areas.
The survey is based on a two-stage stratified sample of households. In the first stage, 600 EAs were selected with probability proportional to the EA size, with 207 EAs in urban areas and 393 in rural areas. A complete household listing operation was then carried out in all of the selected EAs to provide a sampling frame for the second-stage selection of households. In the second stage of sampling, a systematic sample of 30 households on average was selected per EA to provide statistically reliable estimates of key demographic and health variables for the country as a whole, for urban and rural areas separately, and for each of the seven divisions. With this design, the survey selected 18,000 residential households, which were expected to result in completed interviews with about 18,000 ever-married women.
For further details of the sample design, see Appendix A of the final report.
The sample for the 2014 BDHS is nationally representative and covers the entire population residing in noninstitutional dwelling units in the country. The survey used a sampling frame from the list of enumeration areas (EAs) of the 2011 Population and Housing Census of the People's Republic of Bangladesh, provided by the Bangladesh Bureau of Statistics (BBS). The primary sampling unit (PSU) for the survey is an EA created to have an average of about 120 households.
Bangladesh is divided into seven administrative divisions: Barisal, Chittagong, Dhaka, Khulna, Rajshahi, Rangpur, and Sylhet. Each division is divided into zilas, and each zila into upazilas. Each urban area in an upazila is divided into wards, which are further subdivided into mohallas. A rural area in an upazila is divided into union parishads (UPs) and, within UPs, into mouzas. These divisions allow the country as a whole to be separated into rural and urban areas.
The survey is based on a two-stage stratified sample of households. In the first stage, 600 EAs were selected with probability proportional to the EA size, with 207 EAs in urban areas and 393 in rural areas. A complete household listing operation was then carried out in all of the selected EAs to provide a sampling frame for the second-stage selection of households. In the second stage of sampling, a systematic sample of 30 households on average was selected per EA to provide statistically reliable estimates of key demographic and health variables for the country as a whole, for urban and rural areas separately, and for each of the seven divisions. With this design, the survey selected 18,000 residential households, which were expected to result in completed interviews with about 18,000 ever-married women.
For further details of the sample design, see Appendix A of the final report.
Response Rate
Among a total of 17,989 selected households, 17,565 were found occupied. Interviews were successfully completed in 17,300, or 99 percent of households. A total of 18,245 ever-married women age 15-49 were identified in these households and 17,863 were interviewed, for a response rate of 98 percent. Response rates for households and eligible women are similar to those in the 2011 BDHS. The principal reason for nonresponse among women was their absence from home despite repeated visits to the household. The response rates do not vary notably by urban-rural residence.
Weighting
Any analysis using the 2014 BDHS data requires that sampling weights be applied to ensure the actual representation of the survey results at the national and domain levels. Although the weighted distribution of urban-rural households in the survey was based on the urban-rural distribution in the 2011 population census, the sampling weights were adjusted to reflect a modified urban-rural household distribution recently reported by the BBS. After adjusting for undercount and including statistical metropolitan areas (SMAs) among the urban areas, the BBS estimated that the urban population was 28 percent (BBS 2014). The adjustment in the 2014 BDHS sampling weight was to generate a revised urbanrural population distribution and was not expected to lead to any significant differences in the overall survey indicators.
For further details on sampling weight calculation, see Appendix A.4 of the final report.
For further details on sampling weight calculation, see Appendix A.4 of the final report.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2014-06-28 | 2014-11-09 |
Data Collection Mode
Face-to-face [f2f]
Supervision
Data quality measures were implemented through several activities. There were four quality control teams from Mitra and Associates, each comprised of one male and one female staff person. They were sent to the field to visit the interviewing teams throughout the data collection period. Moreover, the professionals of the survey team made several visits to check the fieldwork.
In addition, NIPORT monitored fieldwork by sending two quality control teams, each comprised of three members. The teams went to the field for about three weeks in each phase. They oversaw use of the household listings and maps, observed one household and one individual interview of each interviewer, and spot-checked the completed questionnaires. The teams also revisited half of the households of one completed cluster for each survey team and checked whether selected households were visited and eligible respondents were properly identified and interviewed. Debriefing sessions were held between fieldworkers’ tours to discuss problems encountered in the field, clarifications, and administrative matters. Data quality was also monitored through field check tables generated concurrently with data processing. The main purpose of the tables was to allow the quality control teams to advise field teams of problems detected during data entry. Representatives from USAID, The DHS Program, and NIPORT, and other Technical Review Committee members, also monitored fieldwork through several field visits.
In addition, NIPORT monitored fieldwork by sending two quality control teams, each comprised of three members. The teams went to the field for about three weeks in each phase. They oversaw use of the household listings and maps, observed one household and one individual interview of each interviewer, and spot-checked the completed questionnaires. The teams also revisited half of the households of one completed cluster for each survey team and checked whether selected households were visited and eligible respondents were properly identified and interviewed. Debriefing sessions were held between fieldworkers’ tours to discuss problems encountered in the field, clarifications, and administrative matters. Data quality was also monitored through field check tables generated concurrently with data processing. The main purpose of the tables was to allow the quality control teams to advise field teams of problems detected during data entry. Representatives from USAID, The DHS Program, and NIPORT, and other Technical Review Committee members, also monitored fieldwork through several field visits.
Data Collection Notes
Training and Fieldwork
Fifty-four people were trained to carry out the listing of households, to delineate EAs, and to administer Community Questionnaires. They were also trained in the use of global positioning system (GPS) units to obtain locational coordinates for each selected EA. The training lasted a total of five days from May 14-20, 2014. A household listing operation was carried out in all selected EAs from May 21 to August 17, 2014, in four phases, each about three weeks in duration. Initially, 20 teams of two persons each were deployed to carry out the listing of households and to administer the Community Questionnaires. The number of teams was reduced to 19 in the third phase and to 11 in the final phase. In addition, ten supervisors were deployed to check and verify the work of the listing teams.
Training for the fieldworkers of the main survey was conducted from June 1 to 26, 2014. A total of 164 fieldworkers were recruited based on their educational level, prior experience with surveys, maturity, and willingness to spend up to four months on the project. Training included lectures on how to complete the questionnaires, mock interviews between participants, and field practice. A former NIPORT staff member gave a talk about family planning methods and maternal and child health, including HPNSDP.
Fieldwork for the BDHS was carried out by interviewing teams, each consisting of one male supervisor, one female field editor, five female interviewers, and one logistics staff person. Data collection was implemented in four phases, starting on June 28, 2014, and ending on November 9, 2014. The number of teams declined with each subsequent phase, starting with 20 teams in the first phase and ending with 16 teams by the end of data collection.
Fifty-four people were trained to carry out the listing of households, to delineate EAs, and to administer Community Questionnaires. They were also trained in the use of global positioning system (GPS) units to obtain locational coordinates for each selected EA. The training lasted a total of five days from May 14-20, 2014. A household listing operation was carried out in all selected EAs from May 21 to August 17, 2014, in four phases, each about three weeks in duration. Initially, 20 teams of two persons each were deployed to carry out the listing of households and to administer the Community Questionnaires. The number of teams was reduced to 19 in the third phase and to 11 in the final phase. In addition, ten supervisors were deployed to check and verify the work of the listing teams.
Training for the fieldworkers of the main survey was conducted from June 1 to 26, 2014. A total of 164 fieldworkers were recruited based on their educational level, prior experience with surveys, maturity, and willingness to spend up to four months on the project. Training included lectures on how to complete the questionnaires, mock interviews between participants, and field practice. A former NIPORT staff member gave a talk about family planning methods and maternal and child health, including HPNSDP.
Fieldwork for the BDHS was carried out by interviewing teams, each consisting of one male supervisor, one female field editor, five female interviewers, and one logistics staff person. Data collection was implemented in four phases, starting on June 28, 2014, and ending on November 9, 2014. The number of teams declined with each subsequent phase, starting with 20 teams in the first phase and ending with 16 teams by the end of data collection.
Data Collectors
| Name |
|---|
| Mitra and Associates |
Questionnaires
Questionnaires
The 2014 BDHS used three types of questionnaires: a Household Questionnaire, a Woman’s Questionnaire, and a Community Questionnaire. The contents of the Household and Woman’s questionnaires were based on the MEASURE DHS Model Questionnaires. These model questionnaires were adapted for use in Bangladesh during a series of meetings with a Technical Working Group (TWG) that consisted of representatives from NIPORT, Mitra and Associates, International Center for Diarrheal Disease Research, Bangladesh (ICDDR,B), USAID/Bangladesh, and ICF International. Draft questionnaires were then circulated to other interested groups and were reviewed by the 2014 BDHS Technical Review Committee. The questionnaires were developed in English and then translated into and printed in Bangla.
The Household Questionnaire was used to list all the usual members and visitors in the selected households. Some basic information was collected on the characteristics of each person listed, including age, sex, education, current work status, birth registration, and individual possession of mobile phones. The main purpose of the Household Questionnaire was to identify women who were eligible for the individual interview. Information was collected about the dwelling unit, such as the source of water, type of toilet facilities, materials used to construct the floor, roof, and walls, ownership of various consumer goods, and availability of hand washing facilities. In addition, this questionnaire was used to record the height and weight measurements of ever-married women age 15-49 and children under age 6.
The Woman’s Questionnaire was used to collect information from ever-married women age 15-49.
The Community Questionnaire was administered in each selected cluster during the household listing operation and included questions about the existence of development organizations in the community and the availability and accessibility of health services and other facilities. The Community Questionnaire was administered to a group of four to six key informants who were knowledgeable about socioeconomic conditions and the availability of health and family planning services/facilities in the cluster. Key informants included community leaders, teachers, government officials, social workers, religious leaders, traditional healers, and health care providers among others.
The Household Questionnaire was used to list all the usual members and visitors in the selected households. Some basic information was collected on the characteristics of each person listed, including age, sex, education, current work status, birth registration, and individual possession of mobile phones. The main purpose of the Household Questionnaire was to identify women who were eligible for the individual interview. Information was collected about the dwelling unit, such as the source of water, type of toilet facilities, materials used to construct the floor, roof, and walls, ownership of various consumer goods, and availability of hand washing facilities. In addition, this questionnaire was used to record the height and weight measurements of ever-married women age 15-49 and children under age 6.
The Woman’s Questionnaire was used to collect information from ever-married women age 15-49.
The Community Questionnaire was administered in each selected cluster during the household listing operation and included questions about the existence of development organizations in the community and the availability and accessibility of health services and other facilities. The Community Questionnaire was administered to a group of four to six key informants who were knowledgeable about socioeconomic conditions and the availability of health and family planning services/facilities in the cluster. Key informants included community leaders, teachers, government officials, social workers, religious leaders, traditional healers, and health care providers among others.
Data Processing
Data Editing
The completed 2014 BDHS questionnaires were periodically returned to Dhaka for data processing at Mitra and Associates. The data processing began shortly after fieldwork commenced. Data processing consisted of office editing, coding of open-ended questions, data entry, and editing of inconsistencies found by the computer program. Eight data entry operators and two data entry supervisors processed the data. Data processing commenced on July 24, 2014, and ended on November 20, 2014. The task was carried out using the Census and Survey Processing System (CSPro), a software jointly developed by the U.S. Census Bureau, ICF Macro, and Serpro S.A.
Data Appraisal
Estimates of Sampling Error
The estimates from a sample survey are affected by two types of errors: non-sampling errors and sampling errors. Non-sampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2014 Bangladesh DHS (BDHS) to minimize this type of error, non-sampling errors are impossible to avoid and difficult to evaluate statistically.
Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2014 BDHS is only one of many samples that could have been selected from the same population, using the same design and expected 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 all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.
Sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95 percent of all possible samples of identical size and design.
If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2014 BDHS sample is the result of a multi-stage stratified design, and, consequently, it was necessary to use more complex formulae. Sampling errors are computed in either ISSA or SAS, using programs developed by ICF International. These programs use the Taylor linearization method of variance estimation for survey estimates that are means, proportions or ratios. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.
Note: A more detailed description of estimate of sampling error is presented in APPENDIX B of the survey report.
Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2014 BDHS is only one of many samples that could have been selected from the same population, using the same design and expected 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 all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.
Sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95 percent of all possible samples of identical size and design.
If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2014 BDHS sample is the result of a multi-stage stratified design, and, consequently, it was necessary to use more complex formulae. Sampling errors are computed in either ISSA or SAS, using programs developed by ICF International. These programs use the Taylor linearization method of variance estimation for survey estimates that are means, proportions or ratios. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.
Note: A more detailed description of estimate of sampling error is presented in APPENDIX B of the survey report.
Data Appraisal
Data Quality Tables
- Household age distribution
- Age distribution of eligible and interviewed women
- Completeness of reporting
- Births by calendar years
- Reporting of age at death in days
- Reporting of age at death in months
Note: See detailed data quality tables in APPENDIX C of the report.
- Household age distribution
- Age distribution of eligible and interviewed women
- Completeness of reporting
- Births by calendar years
- Reporting of age at death in days
- Reporting of age at death in months
Note: See detailed data quality tables in APPENDIX C of the report.
Access policy
Contacts
Access conditions
Request Dataset Access
The following applies to DHS, MIS, AIS and SPA survey datasets (Surveys, GPS, and HIV).
To request dataset access, you must first be a registered user of the website. You must then create a new research project request. The request must include a project title and a description of the analysis you propose to perform with the data.
The requested data should only be used for the purpose of the research or study. To request the same or different data for another purpose, a new research project request should be submitted. The DHS Program will normally review all data requests within 24 hours (Monday - Friday) and provide notification if access has been granted or additional project information is needed before access can be granted.
DATASET ACCESS APPROVAL PROCESS
Access to DHS, MIS, AIS and SPA survey datasets (Surveys, HIV, and GPS) is requested and granted by country. This means that when approved, full access is granted to all unrestricted survey datasets for that country. Access to HIV and GIS datasets requires an online acknowledgment of the conditions of use.
Required Information
A dataset request must include contact information, a research project title, and a description of the analysis you propose to perform with the data.
Restricted Datasets
A few datasets are restricted and these are noted. Access to restricted datasets is requested online as with other datasets. An additional consent form is required for some datasets, and the form will be emailed to you upon authorization of your account. For other restricted surveys, permission must be granted by the appropriate implementing organizations, before The DHS Program can grant access. You will be emailed the information for contacting the implementing organizations. A few restricted surveys are authorized directly within The DHS Program, upon receipt of an email request.
When The DHS Program receives authorization from the appropriate organizations, the user will be contacted, and the datasets made available by secure FTP.
GPS/HIV Datasets/Other Biomarkers
Because of the sensitive nature of GPS, HIV and other biomarkers datasets, permission to access these datasets requires that you accept a Terms of Use Statement. After selecting GPS/HIV/Other Biomarkers datasets, the user is presented with a consent form which should be signed electronically by entering the password for the user's account.
Dataset Terms of Use
Once downloaded, the datasets must not be passed on to other researchers without the written consent of The DHS Program. All reports and publications based on the requested data must be sent to The DHS Program Data Archive in a Portable Document Format (pdf) or a printed hard copy.
Download Datasets
Datasets are made available for download by survey. You will be presented with a list of surveys for which you have been granted dataset access. After selecting a survey, a list of all available datasets for that survey will be displayed, including all survey, GPS, and HIV data files. However, only data types for which you have been granted access will be accessible. To download, simply click on the files that you wish to download and a "File Download" prompt will guide you through the remaining steps.
The following applies to DHS, MIS, AIS and SPA survey datasets (Surveys, GPS, and HIV).
To request dataset access, you must first be a registered user of the website. You must then create a new research project request. The request must include a project title and a description of the analysis you propose to perform with the data.
The requested data should only be used for the purpose of the research or study. To request the same or different data for another purpose, a new research project request should be submitted. The DHS Program will normally review all data requests within 24 hours (Monday - Friday) and provide notification if access has been granted or additional project information is needed before access can be granted.
DATASET ACCESS APPROVAL PROCESS
Access to DHS, MIS, AIS and SPA survey datasets (Surveys, HIV, and GPS) is requested and granted by country. This means that when approved, full access is granted to all unrestricted survey datasets for that country. Access to HIV and GIS datasets requires an online acknowledgment of the conditions of use.
Required Information
A dataset request must include contact information, a research project title, and a description of the analysis you propose to perform with the data.
Restricted Datasets
A few datasets are restricted and these are noted. Access to restricted datasets is requested online as with other datasets. An additional consent form is required for some datasets, and the form will be emailed to you upon authorization of your account. For other restricted surveys, permission must be granted by the appropriate implementing organizations, before The DHS Program can grant access. You will be emailed the information for contacting the implementing organizations. A few restricted surveys are authorized directly within The DHS Program, upon receipt of an email request.
When The DHS Program receives authorization from the appropriate organizations, the user will be contacted, and the datasets made available by secure FTP.
GPS/HIV Datasets/Other Biomarkers
Because of the sensitive nature of GPS, HIV and other biomarkers datasets, permission to access these datasets requires that you accept a Terms of Use Statement. After selecting GPS/HIV/Other Biomarkers datasets, the user is presented with a consent form which should be signed electronically by entering the password for the user's account.
Dataset Terms of Use
Once downloaded, the datasets must not be passed on to other researchers without the written consent of The DHS Program. All reports and publications based on the requested data must be sent to The DHS Program Data Archive in a Portable Document Format (pdf) or a printed hard copy.
Download Datasets
Datasets are made available for download by survey. You will be presented with a list of surveys for which you have been granted dataset access. After selecting a survey, a list of all available datasets for that survey will be displayed, including all survey, GPS, and HIV data files. However, only data types for which you have been granted access will be accessible. To download, simply click on the files that you wish to download and a "File Download" prompt will guide you through the remaining steps.
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Access authority
| Name | URL | |
|---|---|---|
| The DHS Program | archive@dhsprogram.com | Link |
Location of Data Collection
The DHS Program
Archive where study is originally stored
The DHS Program
http://dhsprogram.com/data/available-datasets.cfm
Cost: None
http://dhsprogram.com/data/available-datasets.cfm
Cost: None
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.