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.

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.

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.

Actual value and historical data chart for Indonesia Population Density People Per Sq Km

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.

Content

The current population of Indonesia is 278,799,748 as of Sunday, May 1, 2022, based on Worldometer elaboration of the latest United Nations data.. This three datasets contain population data of Indonesia (2020 and historical), population forecast and population in major cities.

Attribute Information

• Year - Years from 2020-1955
• Population - Population in the respective year
• Yearly % Change - Percentage Yearly Change in Population
• Yearly Change - Yearly Change in Population
• Migrants (net) - Total number of migrants
• Median Age - Median age of the population
• Fertility Rate - Fertility rate
• Density (P/Km²)- Population density (population per square km)
• Urban Pop %- Percentage of urban population
• Urban Population- Urban population
• Country's Share of World Pop - Population share
• World Population - World Population in the respective year
• India Global Rank - Global Rank in Population

Source

Link : https://www.worldometers.info/world-population/indonesia-population/

Updated Covid 19 and Other Datasets

Link : https://www.kaggle.com/anandhuh/datasets

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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.

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.

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.

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.

The current US Census Bureau world population estimate in June 2019 shows that the current global population is 7,577,130,400 people on earth, which far exceeds the world population of 7.2 billion from 2015. Our own estimate based on UN data shows the world's population surpassing 7.7 billion.

China is the most populous country in the world with a population exceeding 1.4 billion. It is one of just two countries with a population of more than 1 billion, with India being the second. As of 2018, India has a population of over 1.355 billion people, and its population growth is expected to continue through at least 2050. By the year 2030, the country of India is expected to become the most populous country in the world. This is because India’s population will grow, while China is projected to see a loss in population.

The next 11 countries that are the most populous in the world each have populations exceeding 100 million. These include the United States, Indonesia, Brazil, Pakistan, Nigeria, Bangladesh, Russia, Mexico, Japan, Ethiopia, and the Philippines. Of these nations, all are expected to continue to grow except Russia and Japan, which will see their populations drop by 2030 before falling again significantly by 2050.

Many other nations have populations of at least one million, while there are also countries that have just thousands. The smallest population in the world can be found in Vatican City, where only 801 people reside.

In 2018, the world’s population growth rate was 1.12%. Every five years since the 1970s, the population growth rate has continued to fall. The world’s population is expected to continue to grow larger but at a much slower pace. By 2030, the population will exceed 8 billion. In 2040, this number will grow to more than 9 billion. In 2055, the number will rise to over 10 billion, and another billion people won’t be added until near the end of the century. The current annual population growth estimates from the United Nations are in the millions - estimating that over 80 million new lives are added each year.

This population growth will be significantly impacted by nine specific countries which are situated to contribute to the population growth more quickly than other nations. These nations include the Democratic Republic of the Congo, Ethiopia, India, Indonesia, Nigeria, Pakistan, Uganda, the United Republic of Tanzania, and the United States of America. Particularly of interest, India is on track to overtake China's position as the most populous country by the year 2030. Additionally, multiple nations within Africa are expected to double their populations before fertility rates begin to slow entirely.

Global life expectancy has also improved in recent years, increasing the overall population life expectancy at birth to just over 70 years of age. The projected global life expectancy is only expected to continue to improve - reaching nearly 77 years of age by the year 2050. Significant factors impacting the data on life expectancy include the projections of the ability to reduce AIDS/HIV impact, as well as reducing the rates of infectious and non-communicable diseases.

Population aging has a massive impact on the ability of the population to maintain what is called a support ratio. One key finding from 2017 is that the majority of the world is going to face considerable growth in the 60 plus age bracket. This will put enormous strain on the younger age groups as the elderly population is becoming so vast without the number of births to maintain a healthy support ratio.

Although the number given above seems very precise, it is important to remember that it is just an estimate. It simply isn't possible to be sure exactly how many people there are on the earth at any one time, and there are conflicting estimates of the global population in 2016.

Some, including the UN, believe that a population of 7 billion was reached in October 2011. Others, including the US Census Bureau and World Bank, believe that the total population of the world reached 7 billion in 2012, around March or April.

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

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.

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.