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.

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

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.

As of 2022, the population density in Jakarta, Indonesia reached over 16 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.

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 June of 2025.

In 2023, the population density in Denpasar regency in Bali, Indonesia amounted to 5,945 individuals per square kilometer, making it the regency with the highest population density in the island. Bali's population reached 4.4 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 312.51 million people by 2040.

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.

Density of physicians of Indonesia fell by 0.72% from 0.7 number per thousand population in 2021 to 0.7 number per thousand population in 2022. Since the 34.26% jump in 2020, density of physicians leapt by 10.05% in 2022.

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.

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.

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.

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.

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Household

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.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Statistics Indonesia

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

SAMPLE UNIT: Census block

SAMPLE FRACTION: 0.37%

SAMPLE SIZE (person records): 605,858

Mode of data collection

Face-to-face [f2f]

Research instrument

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

The data coming from the census 2010 - used to develop this publication of infographics on population characteristics on each of Indonesia’s thirty-three provinces. The book is the result of cooperation between with BNPB and BPS and the United Nations agencies UNOCHA, UNFPA, WFP, and UNDP. UNFPA provided technical assistance in the preparation of the basic population indicators such as sex ratio, population density, main livelihood, and levels of literacy. In addition, this book also displays information regarding dependency ratio, fertility rates, life expectancy, and infant mortality rates included in the Population Projection 2010-2035. The results can be seen in this link: http://reliefweb.int/report/indonesia/indonesia-province-infographic-book-27-nov-2014 The datasets can also accessible in here: http://dibi.bnpb.go.id/profil-wilayah/11/aceh

Context

The world's population has undergone remarkable growth, exceeding 7.5 billion by mid-2019 and continuing to surge beyond previous estimates. Notably, China and India stand as the two most populous countries, with China's population potentially facing a decline while India's trajectory hints at surpassing it by 2030. This significant demographic shift is just one facet of a global landscape where countries like the United States, Indonesia, Brazil, Nigeria, and others, each with populations surpassing 100 million, play pivotal roles.

The steady decrease in growth rates, though, is reshaping projections. While the world's population is expected to exceed 8 billion by 2030, growth will notably decelerate compared to previous decades. Specific countries like India, Nigeria, and several African nations will notably contribute to this growth, potentially doubling their populations before rates plateau.

Content

This dataset provides comprehensive historical population data for countries and territories globally, offering insights into various parameters such as area size, continent, population growth rates, rankings, and world population percentages. Spanning from 1970 to 2023, it includes population figures for different years, enabling a detailed examination of demographic trends and changes over time.

Dataset

Structured with meticulous detail, this dataset offers a wide array of information in a format conducive to analysis and exploration. Featuring parameters like population by year, country rankings, geographical details, and growth rates, it serves as a valuable resource for researchers, policymakers, and analysts. Additionally, the inclusion of growth rates and world population percentages provides a nuanced understanding of how countries contribute to global demographic shifts.

This dataset is invaluable for those interested in understanding historical population trends, predicting future demographic patterns, and conducting in-depth analyses to inform policies across various sectors such as economics, urban planning, public health, and more.

Structure

This dataset (world_population_data.csv) covering from 1970 up to 2023 includes the following columns:

Acknowledgment

The primary dataset was retrieved from the World Population Review. I sincerely thank the team for providing the core data used in this dataset.

© Image credit: Freepik

Urban areas have always been an attraction for the population. As a result, urbanization is constantly happening as more people migrate to cities. This is since urban areas have become a hope for improving the quality of life. This study aims to measure and analyze the Quality of Life (QoL) Index and the influence of economic and geographical factors on the urban QoL during the COVID-19 pandemic. The data used in this study is the Socio-Economic Survey (SUSENAS) in 2020 from the Indonesian Central Statistics Agency. The findings show that larger cities tend to have a good QoL index. Meanwhile, remote cities or island regions have a low QoL, as indicated by a low QoL Index. population density, per capita consumption expenditure, and urban economic growth positively influence the urban QoL.

147,3 (personas por km2 de superficie de tierra) in 2022. Population density is midyear population divided by land area in square kilometers.

Market Size for Indonesia Online Education Platforms Market on the Basis of Revenue, 2018-2024 In 2023, Ruangguru expanded its operations by introducing AI-based personalized learning solutions to cater to the diverse needs of students across Indonesia. Jakarta, Bandung, and Surabaya are key markets due to their high population density, improved digital infrastructure, and increasing demand for quality educational content. The Indonesia online education platforms market reached a valuation of IDR 25 Trillion in 2023, driven by the rapid digital transformation in the education sector, growing internet penetration, and rising awareness of digital learning tools. The market is characterized by major players such as Ruangguru, Zenius, Quipper, and Pahamify, which dominate the sector with their innovative course delivery methods, wide subject offerings, and strong digital presence.

Market Size for Indonesia Toys and Games Industry on the Basis of Revenue, 2018-2024P In 2023, PT Toys Kingdom launched a new range of eco-friendly toys to appeal to environmentally conscious parents. This initiative aims to tap into the growing trend towards sustainability in Indonesia and provide a unique selling point in a competitive market. Jakarta and Surabaya are key markets due to their high population density and robust retail infrastructure. The Indonesia toys and games market reached a valuation of IDR 9.5 Trillion in 2023, driven by the increasing demand for educational toys, a growing middle-class population, and rising consumer spending on children’s products. Major players such as Mattel Indonesia, Hasbro Indonesia, PT Toys Kingdom, and PT Toys Mart dominate the market. These companies are recognized for their extensive product offerings, strong distribution networks, and customer-focused services.