Demographic and Health Survey 2017
Indonesia, 2017
National Population and Family Planning Board (BKKBN), Statistics Indonesia (BPS), Ministry of Health (Kemenkes)
Created on
July 12, 2019
Last modified
July 12, 2019
Page views
13800
Download
243
Documentation in PDF
Study website
Interactive tools
Metadata
DDI/XML
JSON
Identification
Survey ID Number
IDN_2017_DHS_v01_M
Title
Demographic and Health Survey 2017
Country
| Name | Country code |
|---|---|
| Indonesia | IDN |
Study type
Demographic and Health Survey (Standard) - DHS VII
Series Information
The 2017 IDHS is the eighth demographic survey in Indonesia conducted under the auspices of The Demographic and Health Surveys (DHS) Program. Previous surveys were conducted in 1987, 1991, 994, 1997, 2002-2003, 2007, and 2012.
Abstract
The primary objective of the 2017 Indonesia Dmographic and Health Survey (IDHS) is to provide up-to-date estimates of basic demographic and health indicators. The IDHS provides a comprehensive overview of population and maternal and child health issues in Indonesia. More specifically, the IDHS was designed to:
- provide data on fertility, family planning, maternal and child health, and awareness of HIV/AIDS and sexually transmitted infections (STIs) to help program managers, policy makers, and researchers to evaluate and improve existing programs;
- measure trends in fertility and contraceptive prevalence rates, and analyze factors that affect such changes, such as residence, education, breastfeeding practices, and knowledge, use, and availability of contraceptive methods;
- evaluate the achievement of goals previously set by national health programs, with special focus on maternal and child health;
- assess married men’s knowledge of utilization of health services for their family’s health and participation in the health care of their families;
- participate in creating an international database to allow cross-country comparisons in the areas of fertility, family planning, and health.
- provide data on fertility, family planning, maternal and child health, and awareness of HIV/AIDS and sexually transmitted infections (STIs) to help program managers, policy makers, and researchers to evaluate and improve existing programs;
- measure trends in fertility and contraceptive prevalence rates, and analyze factors that affect such changes, such as residence, education, breastfeeding practices, and knowledge, use, and availability of contraceptive methods;
- evaluate the achievement of goals previously set by national health programs, with special focus on maternal and child health;
- assess married men’s knowledge of utilization of health services for their family’s health and participation in the health care of their families;
- participate in creating an international database to allow cross-country comparisons in the areas of fertility, family planning, and health.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Household
- Individual
- Children age 0-5
- Woman age 15-49
- Man age 15-54
- Individual
- Children age 0-5
- Woman age 15-49
- Man age 15-54
Version
Version Notes
The data dictionary was generated from hierarchical data that was downloaded from the The DHS Program website (http://dhsprogram.com).
Scope
Notes
The 2017 Indonesia 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, birth registration, and school attendance
• Characteristics of the household's dwelling unit, such as main source of water, type of toilet facility and location, type of fuel used for cooking, materials used for the floor, roof and walls of the house, and possessions of durable goods (including land and livestock).
INDIVIDUAL WOMAN
• Identification
• Background characteristics
• Birth history
• Contraception
• Pregnancy and postnatal examination
• Child immunization
• Child health and nutrition
• Marriage and sexual activity
• Fertility preferences
• Background of husband/spouse and respondent’s work
• HIV/AIDS
• Other health issue
NEVER-MARRIED WOMAN
• Identification
• Additional background of respondents
• Knowledge and experience about the human reproductive system
• Marriage and children
• The role of family, school, society, and the media
• Smoking, drinking, and drugs
• Dating and sexual behavior
INDIVIDUAL MAN
• Identification
• Background characteristics
• Contraception
• Marriage and sexual activity
• Fertility preferences
• Employment and gender roles
• HIV/AIDS
• Other health issues
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, birth registration, and school attendance
• Characteristics of the household's dwelling unit, such as main source of water, type of toilet facility and location, type of fuel used for cooking, materials used for the floor, roof and walls of the house, and possessions of durable goods (including land and livestock).
INDIVIDUAL WOMAN
• Identification
• Background characteristics
• Birth history
• Contraception
• Pregnancy and postnatal examination
• Child immunization
• Child health and nutrition
• Marriage and sexual activity
• Fertility preferences
• Background of husband/spouse and respondent’s work
• HIV/AIDS
• Other health issue
NEVER-MARRIED WOMAN
• Identification
• Additional background of respondents
• Knowledge and experience about the human reproductive system
• Marriage and children
• The role of family, school, society, and the media
• Smoking, drinking, and drugs
• Dating and sexual behavior
INDIVIDUAL MAN
• Identification
• Background characteristics
• Contraception
• Marriage and sexual activity
• Fertility preferences
• Employment and gender roles
• HIV/AIDS
• Other health issues
Coverage
Geographic Coverage
National coverage
Universe
The survey covered all de jure household members (usual residents), all women age 15-49 years resident in the household, and all men age 15-54 years resident in the household.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| National Population and Family Planning Board (BKKBN) | Government of Indonesia |
| Statistics Indonesia (BPS) | Government of Indonesia |
| Ministry of Health (Kemenkes) | Government of Indonesia |
Producers
| Name | Affiliation | Role |
|---|---|---|
| ICF | The DHS Program | Provided technical assistance through The DHS Program funded by USAID |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Government of Indonesia | Govt IDN | Financier |
Sampling
Sampling Procedure
The 2017 IDHS sample covered 1,970 census blocks in urban and rural areas and was expected to obtain responses from 49,250 households. The sampled households were expected to identify about 59,100 women age 15-49 and 24,625 never-married men age 15-24 eligible for individual interview. Eight households were selected in each selected census block to yield 14,193 married men age 15-54 to be interviewed with the Married Man's Questionnaire. The sample frame of the 2017 IDHS is the Master Sample of Census Blocks from the 2010 Population Census. The frame for the household sample selection is the updated list of ordinary households in the selected census blocks. This list does not include institutional households, such as orphanages, police/military barracks, and prisons, or special households (boarding houses with a minimum of 10 people).
The sampling design of the 2017 IDHS used two-stage stratified sampling:
Stage 1: Several census blocks were selected with systematic sampling proportional to size, where size is the number of households listed in the 2010 Population Census. In the implicit stratification, the census blocks were stratified by urban and rural areas and ordered by wealth index category.
Stage 2: In each selected census block, 25 ordinary households were selected with systematic sampling from the updated household listing. Eight households were selected systematically to obtain a sample of married men.
For further details on sample design, see Appendix B of the final report.
The sampling design of the 2017 IDHS used two-stage stratified sampling:
Stage 1: Several census blocks were selected with systematic sampling proportional to size, where size is the number of households listed in the 2010 Population Census. In the implicit stratification, the census blocks were stratified by urban and rural areas and ordered by wealth index category.
Stage 2: In each selected census block, 25 ordinary households were selected with systematic sampling from the updated household listing. Eight households were selected systematically to obtain a sample of married men.
For further details on sample design, see Appendix B of the final report.
Response Rate
Of the 49,261 eligible households, 48,216 households were found by the interviewer teams. Among these households, 47,963 households were successfully interviewed, a response rate of almost 100%.
In the interviewed households, 50,730 women were identified as eligible for individual interview and, from these, completed interviews were conducted with 49,627 women, yielding a response rate of 98%. From the selected household sample of married men, 10,440 married men were identified as eligible for interview, of which 10,009 were successfully interviewed, yielding a response rate of 96%. The lower response rate for men was due to the more frequent and longer absence of men from the household. In general, response rates in rural areas were higher than those in urban areas.
In the interviewed households, 50,730 women were identified as eligible for individual interview and, from these, completed interviews were conducted with 49,627 women, yielding a response rate of 98%. From the selected household sample of married men, 10,440 married men were identified as eligible for interview, of which 10,009 were successfully interviewed, yielding a response rate of 96%. The lower response rate for men was due to the more frequent and longer absence of men from the household. In general, response rates in rural areas were higher than those in urban areas.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2017-07-24 | 2017-09-30 |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
TRAINING OF FIELD STAFF
Training of fieldworkers is an important activity in the 2017 IDHS. The objective of the training is to transfer to the field workers the same understanding of concepts and operational definitions of the variables collected in the survey. Training for the 2017 IDHS consists of the training of master instructors, field coordinators, and national instructors.
A total of 1,160 persons participated in the 2017 IDHS training as interviewers, editors, and supervisors. Training took place in early July 2017 in nine training centers; North Sumatra, West Sumatera, West Java, Central Java, Bali, South Kalimantan, South Sulawesi, Papua, and West Papua. The training was conducted in discussion format to facilitate the teaching and learning processes. Training materials included concepts and definitions, knowledge, experience, flow of questions, and data consistency between questions related to households, all women, married men, never-married men, supervision, and field editing. In addition, the trainees participated in role playing activities and field try out. These activities were aimed at having all field staff able to conduct each interview properly and to fill out the questionnaires correctly.
In the field try out, each interviewer must look for eligible respondents. After the interview is completed, the questionnaires are submitted to the field editor for review.
FIELDWORK
The 2017 IDHS employed 145 interviewing teams to collect the data. Each team was comprised of one supervisor, one field editor, four female interviewers, and two male interviewers (one for currently married men, who doubled as the editor for the never-married interviewer, and one for never-married men). Fieldwork took place from July 24–September 30, 2017.
Training of fieldworkers is an important activity in the 2017 IDHS. The objective of the training is to transfer to the field workers the same understanding of concepts and operational definitions of the variables collected in the survey. Training for the 2017 IDHS consists of the training of master instructors, field coordinators, and national instructors.
A total of 1,160 persons participated in the 2017 IDHS training as interviewers, editors, and supervisors. Training took place in early July 2017 in nine training centers; North Sumatra, West Sumatera, West Java, Central Java, Bali, South Kalimantan, South Sulawesi, Papua, and West Papua. The training was conducted in discussion format to facilitate the teaching and learning processes. Training materials included concepts and definitions, knowledge, experience, flow of questions, and data consistency between questions related to households, all women, married men, never-married men, supervision, and field editing. In addition, the trainees participated in role playing activities and field try out. These activities were aimed at having all field staff able to conduct each interview properly and to fill out the questionnaires correctly.
In the field try out, each interviewer must look for eligible respondents. After the interview is completed, the questionnaires are submitted to the field editor for review.
FIELDWORK
The 2017 IDHS employed 145 interviewing teams to collect the data. Each team was comprised of one supervisor, one field editor, four female interviewers, and two male interviewers (one for currently married men, who doubled as the editor for the never-married interviewer, and one for never-married men). Fieldwork took place from July 24–September 30, 2017.
Questionnaires
Questionnaires
The 2017 IDHS used four questionnaires: the Household Questionnaire, Woman’s Questionnaire, Married Man’s Questionnaire, and Never Married Man’s Questionnaire. Because of the change in survey coverage from ever-married women age 15-49 in the 2007 IDHS to all women age 15-49, the Woman’s Questionnaire had questions added for never married women age 15-24. These questions were part of the 2007 Indonesia Young Adult Reproductive Survey Questionnaire. The Household Questionnaire and the Woman’s Questionnaire are largely based on standard DHS phase 7 questionnaires (2015 version). The model questionnaires were adapted for use in Indonesia. Not all questions in the DHS model were included in the IDHS. Response categories were modified to reflect the local situation.
Data Processing
Data Editing
All completed questionnaires, along with the control forms, were returned to the BPS central office in Jakarta for data processing. The questionnaires were logged and edited, and all open-ended questions were coded. Responses were entered in the computer twice for verification, and they were corrected for computer-identified errors. Data processing activities were carried out by a team of 34 editors, 112 data entry operators, 33 compare officers, 19 secondary data editors, and 2 data entry supervisors. The questionnaires were entered twice and the entries were compared to detect and correct keying errors. A computer package program called Census and Survey Processing System (CSPro), which was specifically designed to process DHS-type survey data, was used in the processing of the 2017 IDHS.
Data Appraisal
Estimates of Sampling Error
The estimates from a sample survey are affected by two types of errors: (1) nonsampling errors and (2) sampling errors. Nonsampling errors result from mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding 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 2017 Indonesia Demographic and Health Survey (2017 IDHS) to minimize this type of error, nonsampling 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 2017 IDHS is only one of many samples that could have been selected from the same population, using the same design and identical size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling error is a measure of the variability among all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.
A 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 2017 IDHS sample is the result of a multi-stage stratified design, and, consequently, it was necessary to use more complex formulas. The computer software used to calculate sampling errors for the 2017 IDHS is a STATA program. This program used the Taylor linearization method for variance estimation for survey estimates that are means or proportions. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.
A more detailed description of estimates of sampling errors are presented in Appendix C of the survey final report.
Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2017 IDHS is only one of many samples that could have been selected from the same population, using the same design and identical size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling error is a measure of the variability among all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.
A 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 2017 IDHS sample is the result of a multi-stage stratified design, and, consequently, it was necessary to use more complex formulas. The computer software used to calculate sampling errors for the 2017 IDHS is a STATA program. This program used the Taylor linearization method for variance estimation for survey estimates that are means or proportions. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.
A more detailed description of estimates of sampling errors are presented in Appendix C of the survey final report.
Data Appraisal
Data Quality Tables
- Household age distribution
- Age distribution of eligible and interviewed women
- Age distribution of eligible and interviewed men
- Completeness of reporting
- Births by calendar year
- Reporting of age at death in days
- Reporting of age at death in months
See details of the data quality tables in Appendix D of the survey final report.
- Household age distribution
- Age distribution of eligible and interviewed women
- Age distribution of eligible and interviewed men
- Completeness of reporting
- Births by calendar year
- Reporting of age at death in days
- Reporting of age at death in months
See details of the data quality tables in Appendix D of the survey final report.
Access policy
Access authority
| Name | URL | |
|---|---|---|
| The DHS Program | archive@dhsprogram.com | http://www.DHSprogram.com |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Information about The DHS Program | The DHS Program | reports@DHSprogram.com | http://www.DHSprogram.com |
| General Inquiries | The DHS Program | info@dhsprogram.com | http://www.DHSprogram.com |
| Data and Data Related Resources | The DHS Program | archive@dhsprogram.com | http://www.DHSprogram.com |
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
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.
Metadata production
DDI Document ID
DDI_IDN_2017_DHS_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank | Documentation of the DDI |
DDI Document version
Version 01 (July 2019). Metadata is excerpted from "Indonesia Demographic and Health Survey 2018" Report.