In 2023, the infant mortality rate in deaths per 1,000 live births in Indonesia stood at 17. Between 1960 and 2023, the figure dropped by 127.9, though the decline followed an uneven course rather than a steady trajectory.

UNICEF's country profile for Indonesia, including under-five mortality rates, child health, education and sanitation data.

Graph and download economic data for Infant Mortality Rate for Indonesia (SPDYNIMRTINIDN) from 1960 to 2023 about mortality, infant, Indonesia, and rate.

Yearly (annual) dataset of the Indonesia Infant Mortality Rate, including historical data, latest releases, and long-term trends from 1960-12-31 to 2023-12-31. Available for free download in CSV format.

Historical dataset showing Indonesia infant mortality rate by year from 1950 to 2025.

Mortality rate, infant (per 1,000 live births) in Indonesia was reported at 17 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Indonesia - Mortality rate, infant (per 1,000 live births) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Infant mortality rate of Indonesia fell by 2.86% from 17.5 deaths per 1,000 live births in 2022 to 17.0 deaths per 1,000 live births in 2023. Since the 3.98% decline in 2013, infant mortality rate plummeted by 29.46% in 2023. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.

In 1895, the child mortality rate in the region of present-day Indonesia was 444 deaths per thousand live births, meaning that almost 45 percent of all births in Indonesia in that year would not survive past their fifth birthday. This figure would fall gradually until the 1930s, as public works projects by the Dutch would see standards of living begin to rise in the country, however the Japanese invasion of Indonesia in 1942 saw child mortality increase by 15 deaths per thousand in the early 1940s. Following the end of the Second World War, child mortality would begin to sharply decline, as mass immunization and vaccination, combined with several decades of economic growth, would result in the suppression or eradication of many childhood illnesses and raise standards of living throughout the country. Child mortality would fall both through the remainder of the 20th century and into the 21st century as well. As a result, it is estimated that approximately 97.5 percent of all children born in the past five years will make it to the age of five.

Actual value and historical data chart for Indonesia Mortality Rate Infant Female Per 1000 Live Births

In 2023, the crude birth rate in live births per 1,000 inhabitants in Indonesia stood at 15.94. Between 1960 and 2023, the figure dropped by 28.45, though the decline followed an uneven course rather than a steady trajectory.

Actual value and historical data chart for Indonesia Number Of Infant Deaths

Graph and download economic data for Crude Birth Rate for Indonesia (SPDYNCBRTINIDN) from 1960 to 2023 about birth, Indonesia, crude, and rate.

In 2020, only **** percent of infants in Papua had birth certificates. The share of infants with birth certificates in Eastern Indonesia is generally lower than in the rest of Indonesian provinces. In that year, more than ** percent of Indonesia's ********** infants were without birth certificates. Many Indonesians do not register their children because of a lack of knowledge about the application process, or because they do not know that registration within the first ** days of birth is free. However, in Eastern Indonesia, a lack of human resources and technologies is also a main issue as the current birth registration system in Indonesia is now online.

Actual value and historical data chart for Indonesia Birth Rate Crude Per 1 000 People

The life expectancy experiences significant growth in all gender groups in 2023. As part of the positive trend, the life expectancy reaches the maximum value for the different genders at the end of the comparison period. Particularly noteworthy is the life expectancy of women at birth, which has the highest value of 73.27 years. Life expectancy at birth refers to the number of years the average newborn is expected to live, providing that mortality patterns at the time of birth do not change thereafter.Find further similar statistics for other countries or regions like Ukraine and St. Vincent & Grenadines.

Historical dataset showing Indonesia birth rate by year from 1950 to 2025.

Graph and download economic data for Life Expectancy at Birth, Total for Indonesia (SPDYNLE00INIDN) from 1960 to 2023 about life expectancy, life, birth, and Indonesia.

Indonesia ID: Completeness of Birth Registration: Male data was reported at 66.300 % in 2012. This records an increase from the previous number of 50.400 % for 2007. Indonesia ID: Completeness of Birth Registration: Male data is updated yearly, averaging 58.350 % from Dec 2007 (Median) to 2012, with 2 observations. The data reached an all-time high of 66.300 % in 2012 and a record low of 50.400 % in 2007. Indonesia ID: Completeness of Birth Registration: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Population and Urbanization Statistics. Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.; ; UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.; ;

Abstract

The IDHS is part of the worldwide Demographic and Health Surveys program, which is designed to collect data on fertility, family planning, and maternal and child health.

The main objective of 2007 IDHS was to provide detailed information on population, family planning, and health for policymakers and program managers. The 2007 IDHS was conducted in all 33 provinces in Indonesia. The survey collected information on respondents’ socioeconomic background, fertility levels, marriage and sexual activity, fertility preferences, knowledge and use of family planning methods, breastfeeding practices, childhood and adult mortality including maternal mortality, maternal and child health, and awareness and behavior regarding HIV/AIDS and other sexually-transmitted infections.

The 2007 IDHS was specifically designed to meet the following objectives: - Provide data concerning fertility, family planning, maternal and child health, maternal mortality, and awareness of AIDS/STIs to program managers, policymakers, and researchers to help them evaluate and improve existing programs; - Measure trends in fertility and contraceptive prevalence rates, analyze factors that affect such changes, such as marital status and patterns, residence, education, breastfeeding habits, and knowledge, use, and availability of contraception.; - Evaluate achievement of goals previously set by the national health programs, with special focus on maternal and child health; - Assess men’s participation and utilization of health services, as well as of their families; - Assist in creating an international database that allows cross-country comparisons that can be used by the program managers, policymakers, and researchers in the area of family planning, fertility, and health in general.

Geographic coverage

National

Analysis unit

• Household
• Children under five years
• Women age 15-49
• Men age 15-54

Kind of data

Sample survey data

Sampling procedure

Administratively, Indonesia is divided into 33 provinces. Each province is subdivided into districts (regency in areas mostly rural and municipality in urban areas). Districts are subdivided into subdistricts and each subdistrict is divided into villages. The entire village is classified as urban or rural.

The 2007 IDHS sample is designed to provide estimates with acceptable precision for the following domains: - Indonesia as a whole; - Each of 33 provinces covered in the survey, and - Urban and rural areas of Indonesia

The census blocks (CBs) are the primary sampling unit for the 2007 IDHS. The sample developed for the 2007 National Labor Force Survey (Sakernas) was used as a frame for the selection of the 2007 IDHS sample. Household listing was done in all CBs covered in the 2007 Sakernas. This eliminates the need to conduct a separate household listing for the 2007 IDHS.

A minimum of 40 CBs per province has been imposed in the 2007 IDHS design. Since the sample was designed to provide reliable indicators for each province, the number of CBs in each province was not allocated proportional to the population of the province nor proportional by urban-rural classification. Therefore, a final weighing adjustment procedure was done to obtain estimates for all domains.

The 2007 IDHS sample is selected using a stratified two-stage design consisting of 1,694 CBs. Once the number of households was allocated to each province by urban and rural areas, the number of CBs was calculated based on an average sample take of 25 selected households. All evermarried women age 15-49 and all unmarried persons age 15-24 in these households are eligible for individual interview. Eight households in each CB selected for the women sample were selected for male interview.

Note: See detailed description of sample design in APPENDIX B of the survey report.

Mode of data collection

Face-to-face [f2f]

Research instrument

The 2007 IDHS used three questionnaires: the Household Questionnaire (HQ), the Ever-Married Women’s Questionnaire (EMWQ) and the Married Men’s Questionnaire (MMQ). In consultation with BKKBN and MOH, BPS made a decision to base the 2007 IDHS survey instruments largely on the questionnaires used in the 2002-03 IDHS to facilitate trend analysis. Input was solicited from other potential data users, and several modifications were made to optimize the draft 2007 IDHS instruments to collect the needs for population and health data. The draft IDHS questionnaires were also compared with the most recent version of the standard questionnaires used in the DHS program and minor modifications incorporated to facilitate international comparison.

The HQ was used to list all the usual members and visitors in the selected households. Basic information collected on each person listed includes: age, sex, education, and relationship to the head of the household. The main purpose of the HQ was to identify women and men who were eligible for the individual interview. Information on characteristics of the household’s dwelling unit, such as the source of water, type of toilet facilities, construction materials used for the floor and outer walls of the house, and ownership of various durable goods were also recorded in the HQ. These items reflect the household’s socioeconomic status.

The EMWQ was used to collect information from all ever-married women age 15-49. These women were asked questions on the following topics:: - Background characteristics (marital status, education, media exposure, etc.) - Knowledge and use of family planning methods - Reproductive history and fertility preferences - Antenatal, delivery and postnatal care - Breastfeeding and infant feeding practices - Vaccinations and childhood illnesses - Practices related to the malaria prevention - Marriage and sexual activity - Woman’s work and husband’s background characteristics - Infant’s and children’s feeding practices - Childhood mortality - Awareness and behavior regarding AIDS and other sexually transmitted infections (STIs) - Sibling mortality, including maternal mortality.

The MMQ was administered to all currently married men age 15-54 living in every third household in the IDHS sample. The MMQ collected much of the same information included in the EMWQ, but was shorter because it did not contain questions on reproductive history, maternal and child health, nutrition and maternal mortality. Instead, men were asked about their knowledge and participation in health-care-seeking practices for their children.

Cleaning operations

All completed questionnaires for the IDHS, accompanied by their control forms, were returned to the BPS central office in Jakarta for data processing. This consisted of office editing, coding of openended questions, data entry, verification, and editing computer-identified errors. A team of 42 data entry clerks, data editors and data entry supervisors processed the data. Data entry and editing was carried using a computer package program called CSPro, which was specifically designed to process DHS-type survey data. During the preparation of the data entry programs, a BPS staff spent several weeks at ORC Macro offices in Calverton, Maryland. Data entry and editing activities, which began in September, 2007 were completed in March 2008.

Response rate

In general, the response rates for both the household and individual interviews in the 2007 IDHS are high. A total of 42,341 households were selected in the sample, of which 41,131 were occupied. Of these households, 40,701 were successfully interviewed, yielding a household response rate of 99 percent.

In the interviewed households, 34,227 women were identified for individual interview and of these completed interviews were conducted with 32,895 women, yielding a response rate of 96 percent. In a third of the households, 9,716 eligible men were identified, of which 8,758 were successfully interviewed, yielding a response rate of 90 percent. The lower response rate for men was due to the more frequent and longer absence of men from the household.

Note: See summarized response rates by place of residence in Table 1.2 of the survey report.

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: (1) nonsampling errors, and (2) sampling errors. Nonsampling 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 2007 Indonesia Demographic and Health Survey (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 2007 IDHS 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.

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.

The total life expectancy at birth in Indonesia was 71.15 years in 2023. Between 1960 and 2023, the life expectancy at birth rose by 24.31 years, though the increase followed an uneven trajectory rather than a consistent upward trend.