In 2025, Jakarta had a population density of approximately ****** people per square kilometer. The province contributed to around **** percent to the total population of Indonesia. In that year, Indonesia’s population density was around *** people per square kilometer.

In 2021, the population density in Indonesia was at about 144.65 people per square kilometer. Despite being the fourth largest country in the world in terms of population, Indonesia’s population density is mitigated by its abundance of land – Indonesia is an archipelago of more than 17 thousand islands sprawled across more than five thousand kilometers from east to west. Java as the heart of Indonesia Despite the many thousands of islands, Indonesia’s population, politics, and economy are mostly centered on the island of Java. This is where its capital, Jakarta, is located. With a population of around 36.3 million in 2015, Jakarta is not only Indonesia’s biggest city, it is also one of the world’s most-populated urban areas. The number of inhabitants in Jakarta increased three-fold since 1975, reflecting a trend of rural-urban migration in Indonesia. Urban-rural dichotomy Indonesia’s rural population had been steadily decreasing in the last ten years; inversely, its urban population saw a steady increase. As of 2021, more than 57 percent of the Indonesian population were living in urban areas. In Indonesia, the economic opportunities are mostly concentrated in the larger and more densely populated islands such as Java and Bali, and smaller, rural, and more far-flung islands such as the Maluku Islands tend to suffer from a lack of easy connectivity to these economic centers. It comes as no surprise that these rural areas had the highest share of the rural population living below the poverty line. With their lack of economic prospects, rural populations in Indonesia also had a significantly higher share of those living below the poverty line than urban populations.

Historical dataset showing Indonesia population density by year from 1961 to 2022.

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

REGION: Africa

SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

PROJECTION: Geographic, WGS84

UNITS: Estimated persons per grid square

MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

Indonesia data available from WorldPop here.

Population density (people per sq. km of land area) in Indonesia was reported at 147 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Indonesia - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

VERSION 1.5. The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Indonesia: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

As of 2022, the population density in Jakarta, Indonesia reached over ** thousand individuals per square kilometer, showing an increase from the year prior. Jakarta, Indonesia's capital city that has a status equal to a province, has the highest population density among other provinces in the country.

In 2023, the population density in Denpasar regency in Bali, Indonesia amounted to ***** individuals per square kilometer, making it the regency with the highest population density in the island. Bali's population reached *** million people in that year. Indonesia is currently the fourth most populous nation in the world and the population of Indonesia is forecast to reach approximately ****** million people by 2040.

Dki Jakarta Province Population Density Data)
This dataset falls under the category Traffic Generating Parameters – Population.
It contains the following data: This dataset contains Population Density Data in DKI Jakarta Province. Explanation of the Variables in this Dataset: 1. year : Year 2. province_name : Province name 3. Kota_kabupaten name : Regency name City 4. sub-district name : District name 5. kelurahan_name : Kelurahan name 6. .. DKI Jakarta Regional Reference Code Data. The data can be accessed using the following URL / API Endpoint: https://data.jakarta.go.id/dataset/datadkimenurutkepadatanpenduduk
This dataset was scouted on 2022-03-19 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing.

Comprehensive socio-economic dataset for Indonesia including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

This data is about annual population projection from 2010 - 2020 at province (adm1) and ditrict (adm2) level, and consist of number of male, female, total population and population density per square kilometer.

Data On Density And Area Per Village In Dki Jakarta Province)
This dataset falls under the category Traffic Generating Parameters – Population.
It contains the following data: This data contains data on density and area per village in DKI Jakarta Province Explanation of Variables in this Dataset: 1. year : Year 2. province_name : the name of the province in DKI Jakarta 3. name_district/city : name of regency/city in DKI Jakarta 4. sub-district name : name of sub-district in DKI Jakarta 5. kelurahan_name : name of kelurahan in DKI Jakarta 6. area_area_(km2) : total area (km square) 7. density_(people/km2) : population density (people/km2). The data can be accessed using the following URL / API Endpoint: https://data.jakarta.go.id/dataset/banyaknya-pelayanan-masyarakat-yang-tercatat-pada-dinas-kependudukan-dan-pencatatan-sipil
This dataset was scouted on 2022-03-19 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing.

This dataset presents a summary of healthcare workforce distribution and demographic indicators across various provinces in Indonesia. It includes data on the number of nurses, midwives, and doctors, as well as key population statistics such as total population, population density, and life expectancy.

As of 2023, Jakarta’s population amounted to around ***** million inhabitants, indicating an increase of over *** thousand people over the past decade. Jakarta is Indonesia’s capital and largest city, and with its soaring population density, Jakarta ranks among the most populous cities worldwide. Employment in Jakarta In contrast to the prevalent informal employment in Indonesia, over ** percent of Jakarta’s workforce is engaged in formal employment. Notably, Jakartan formal workers have the highest average net wage in the country compared to other provinces. Most of these workers are employed in the wholesale and retail trade sector, which serves as the primary contributor to Jakarta’s GRDP. While there is a positive alignment between the city’s economic growth and increasing welfare levels, Jakarta still needs continuous efforts to further reduce unemployment rates and address income inequality gaps. Traffic and pollution As one of the most polluted major cities globally, the bustling city of Jakarta grapples with persistently low air quality. Simultaneously, the metropolis is also marked to have one of the highest traffic congestion levels in Asia. However, despite the ongoing issues and the efforts to combat these issues, Jakarta still faces an escalating number of vehicles. Factors like the surge in personal vehicle usage to avoid using public transportation during the COVID-19 pandemic, coupled with implanted habits, contribute significantly to Jakarta’s traffic problems.

Objective: To analyze the correlation between demographic and healthcare availability indicators with COVID-19 outcome among Indonesian provinces.Methods: We employed an ecological study design to study the correlation between demographics, healthcare availability, and COVID-19 indicators. Demographic and healthcare indicators were obtained from the Indonesian Health Profile of 2019 by the Ministry of Health while COVID-19 indicators were obtained from the Indonesian COVID-19 website in August 31st 2020. Non-parametric correlation and multivariate regression analyses were conducted with IBM SPSS 23.0.Results: We found the number of confirmed cases and case growth to be significantly correlated with demographic indicators, especially with distribution of age groups. Confirmed cases and case growth was significantly correlated (p < 0.05) with population density (correlation coefficient of 0.461 and 0.491) and proportion of young people (−0.377; −0.394). Incidence and incidence growth were correlated with ratios of GPs (0.426; 0.534), hospitals (0.376; 0.431), primary care clinics (0.423; 0.424), and hospital beds (0.472; 0.599) per capita. For mortality, case fatality rate (CFR) was correlated with population density (0.390) whereas mortality rate was correlated with ratio of hospital beds (0.387). Multivariate analyses found confirmed case independently associated with population density (β of 0.638) and demographic structure (−0.289). Case growth was independently associated with density (0.763). Incidence growth was independently associated with hospital bed ratio (0.486).Conclusion: Pre-existing inequality of healthcare availability correlates with current reported incidence and mortality rate of COVID-19. Lack of healthcare availability in some provinces may have resulted in artificially low numbers of cases being diagnosed, lower demands for COVID-19 tests, and eventually lower case-findings.

Analysis unit

Persons and households Intercensal survey

UNITS IDENTIFIED: - Dwellings: no - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: no

UNIT DESCRIPTIONS: - Dwellings: Not available - Households: An individual or group of people who inhabit part or all of the physical or census building and usually live together and eat together from one kitchen. One kitchen means that the daily needs are managed and provided by one budget. - Group quarters: Not applicable for public use sample

Universe

Permanent residents. Special census blocks and institutions are not included.

Sampling procedure

MICRODATA SOURCE: Central Bureau of Statistics

SAMPLE SIZE (person records): 605858.

SAMPLE DESIGN: Multistage sample of census blocks using urban/rural status and population density of the province.

Mode of data collection

Face-to-face [f2f]

Research instrument

One questionnaire with dwelling information and social and demographic characteristics of individuals.

In 2023, the population of Bali, Indonesia, amounted to around *** million people. The Hindu population in Bali accounts for about ** percent of its total population, and the island is well known for its rich culture, religious practices, and traditions. While Buleleng is the largest regency in the province, the highest population density is found in Denpasar, the capital and primary hub of Bali.   Tourism economy in Bali Bali is considered one of the world’s most famous islands, offering picturesque natural settings and vibrant culture, attracting large numbers of both local and international visitors. As of the first quarter of 2023, more than *** million foreign tourists visited the island, with most international travelers to Bali coming from Australia. Bali also stands as the most preferred domestic travel destination among Indonesians, making tourism a vital sector of its economy.   Balinese agricultural foundations Besides travel and tourism, Bali is also closely tied to agriculture, forestry, and fishing, as these sectors provide work opportunities for a significant part of the population. The tropical island is renowned for some primary commodities, such as coconuts, cocoa, and coffee, which dominate its overall crop production. Furthermore, paddy fields, a striking part of Bali’s landscape in many areas of the island, cover more than ** percent of its total land area, conveying its agrarian roots. Paddy fields are commonly utilized to cultivate rice, one of the staple foods of Indonesians. Tabanan and Gianyar are among the Balinese regencies producing the highest quantities of rice.

As of March 2024, about 11.79 percent of the rural population lived below the poverty line in Indonesia, which was significantly higher than in urban areas. The poverty line is the minimum amount of income needed for day to day necessities.

Physicians (per 1,000 people) in Indonesia was reported at 0.69 in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Indonesia - Physicians - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Understanding the heterogeneous nature of dengue transmission is important for prioritizing and guiding the implementation of prevention strategies. However, passive surveillance data in endemic countries are rarely adequately informative. We analyzed data from a cluster-sample, cross-sectional seroprevalence study in 1–18 year-olds to investigate geographic differences in dengue seroprevalence and force of infection in Indonesia. We used catalytic models to estimate the force of infection in each of the 30 randomly selected sub-districts. Based on these estimates, we determined the proportion of sub-districts expected to reach seroprevalence levels of 50%, 70% and 90% by year of age. We used population averaged generalized estimating equation models to investigate individual- and cluster-level determinants of dengue seropositivity. Dengue force of infection varied substantially across Indonesia, ranging from 4.3% to 30.0% between sub-districts. By age nine, 60% of sub-districts are expected to have a seroprevalence ≥70%, rising to 83% by age 11. Higher odds of seropositivity were associated with higher population density (OR = 1.54 per 10-fold rise in population density, 95% CI: 1.03–2.32) and with City (relative to Regency) administrative status (OR = 1.92, 95% CI: 1.32–2.79). Our findings highlight the substantial variation in dengue endemicity within Indonesia and the importance of understanding spatial heterogeneity in dengue transmission intensity for optimal dengue prevention strategies including future implementation of dengue vaccination programmes.