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.

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.

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 License information might be outdated: Check original source for current licensing.

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.

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.

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

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.

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.

The data set contain the COVID-19 case report (total case) accumulated by province in Indonesia from 2020 - 2022. There are 7 variables within the data set, such as total case, population (total population), Aglo (number of districts stated as agglomeration area), prop_internet (proportion of internet user), density (density level of each province), and vacc 2 (number of population vaccinated). All data are in aggregate form.

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.

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.

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.

In 2024, the population density of Vietnam was around 306 people per square kilometer of land area. In that year, Vietnam's total population reached over 100 million. The country is among those with the highest population density in the Asia Pacific region, ranking 11 in 2020. Population density in Vietnam In comparison, Vietnam’s population density is roughly twice as much as China and Indonesia. The average population density in the world is at 59 inhabitants per square kilometer. The largest population within the country can be found in the Red River Delta and the Mekong River Delta. The most populated city is Ho Chi Minh City with roughly nine million inhabitants. Population growth in Vietnam Vietnam’s total population was forecast to surpass 109 million by 2050. Traditionally, Vietnamese families had an average of six children, while today, the birth rate is at two children per woman. This is due to an improving economy and higher living standards. In 2020, the population growth in Vietnam reached 0.90 percent, down from about three percent in the 1960s.

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.

As of the second half of 2024, the developed area for landed residential homes in Jakarta amounted to about *** hectares. Jakarta, Indonesia's capital city and financial center, has a very high density and rapid population growth. This creates a high demand for property in the city, and the average land price there is higher compared to other areas.