This statistic shows the ten biggest cities in Indonesia in 2010. In 2010, Indonesia's total population amounted to approximately *** million people. About **** million of them lived in Jakarta, making it the biggest city in Indonesia.

Indonesia's urban population

The largest city and capital of Indonesia is Jakarta. The city is home to close to ** million inhabitants. While this is an extremely high number, this represents less than * percent of Indonesia’s total population which is around *** million. Indonesia is the *** most-populated country in the world, behind China, India and the United States.

The city of Jakarta is located to the west of the island of Java on the Java Sea. The majority of Indonesia’s population lives on the island of Java and most of its metropolises, including Bekasi, Tangerang, Depok, Bandung, Semarang, and Surabaya, are all located there. Bekasi, Tangernang and Depok are located less than ** km away from the city of Jakarta creating an expansive urban and suburban metropolis region. This rapid urbanization is largely uncontrolled and may jeopardize the regions sustainability in years to come. The good news is that the population growth rate of Indonesia is slowing down ever so slightly, because of a likewise decreasing fertility rate.

Indonesia’s economy is also fairly diversified, which some may consider a strength for an island economy from a self-sufficiency standpoint. Agriculture also still plays an important role, composing close to a ** percent share of the country’s economy, and while the country is still developing, it still produces a large portion of food which helps feed its ever increasing urban population.

Actual value and historical data chart for Indonesia Population In Largest City

This statistic shows the population living in cities in Indonesia from 2005 to 2016, arranged by city size. In 2015, there were approximately 100.15 million inhabitants living in cities with less than 300 thousand people in Indonesia.

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.

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

If you find it useful, please support by upvoting ❤️

Thank You

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 of population level and growth rate for the Jakarta, Indonesia metro area from 1950 to 2025.

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 statistic shows the degree of urbanization in Indonesia from 2013 to 2023. Urbanization means the share of urban population in the total population of a country. In 2023, 58.57 percent of Indonesia's total population lived in urban areas and cities. Indonesia's urban and rural population In 2010, 51 percent of the world’s population lived in cities while 49 percent of the world’s population lived in rural areas. Indonesia is a prime example for this almost equal distribution: In 2010, for example, Indonesia’s population was half urban and half rural. While urbanization has been slower in Indonesia than in many other countries around the world, the urbanization process is now progressing rather quickly. The largest city in Indonesia is Jakarta, which is located on the island of Java. It is also the capital and home to close to 10 million of Indonesia’s 273 million inhabitants. Three of the nation’s other large urban areas include Surabaya, Bandung and Bekasi, and are also located on the island of Java. Interestingly, in Indonesia there is a strong correlation between agricultural land, the location of volcanoes and population distribution: Most of the country's active volcanos are located on the island of Java and it is also there where the majority of the population lives and where the agricultural soils are best. Indonesian’s agricultural and urban lands are still somewhat linked spatially. Furthermore, the agricultural sector of the economy is still strong, and around 13 percent of Indonesia's GDP pertains to the agricultural sector. Many people who live in urban regions often go back to the rural region where they come from, and the link to rural agricultural lifestyles remain strong.

Historical dataset of population level and growth rate for the Bekasi, Indonesia metro area from 1950 to 2025.

Abstract

The 2010 Population Census has been designed to meet various data needs, including as (1) the basis for updating population data bases up to the lowest level of administrative unit (village); (2) valuable input in monitoring the progress for achieving the Millennium Development Goals (MDGs); (3) the basis for preparing small area statistics; (4) basis for preparing population projection; (5) the basic data in developing sampling frame for various surveys conducted between 2010-2020.

During the 2010 Population Census it is estimated that the population of Indonesia would be around 232 million people who live in about 65 million households. Considering the huge number of population to be recorded the field enumeration will require more than 650.00 field workers, which consist about 450.000 enumerators, 150.000 team coordinators, and 15.000 field coordinators. Data collection is designed to be undertaken in groups, each group (team) consist of four persons, i.e. three numerators and one team coordinator. All field workers would have undertaken a three-day training before hand.

The peak of census operations will be during the months of May 2010 where field enumeration will be taking place simultaneously overall the geographical area of Indonesia. May 15 will be designated as the Census Date of the 2010 Population Census, therefore on the 15 of May 2010 the homeless and nomadic population will be canvassing.

Updating population data is a very crucial issue in the upcoming population census, in the sense that since the implementation of decentralization in 2001 the number of administrative units in the regions (province, district, sub district, and village) have been increasing tremendously, such that statistical measures could not appropriately follows the changes. Prior to decentralization the number of provinces was 27, districts 297, sub districts 4.200, and villages about 65.000. At present the number of provinces is 33, districts 497, sub districts about 7.000, and villages about 75.000.

Geographic coverage

National

Analysis unit

• Individuals;
• Households.

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

In the modern context there is always an increasing demand for data and information, and this is not an exception for the census as well. A census being a huge national undertaking incurring substantial amount of money, while the resources are always constrained and limited. The choice of topic to be covered in a census mainly depends upon the user needs. However, as society becomes complex the demand of population data for development plans is not only increasing but the level of such information is switching to smaller administrative levels, while census being a complex and large operation has its own limitations in meeting all the demands of data users. Another main consideration for determining census topic is to maintain comparability and continuity of the census information.

There are three kind of questionnaires will be used in the 2010 Population Census, namely C1 (42 questions) for enumerate regular household who live in the areas that are covered in the mapping, C2 (14 questions) for enumerate population who live in the areas which are not included in the mapping such as remote areas, Indonesia corps diplomatic who live abroad and L2 (number and sex) for enumerate homeless people, boat people, and tribes.

The questionnaires hopefully can accommodate the data required for the compilations of MDG Indicators, which is essential for national policy making and monitoring. The census questionnaires are presently being developed taking into considerations of the relevant United Nation recommendations as well as the suitability of the items collected to meet local conditions.

In the past population censuses, data were collected basically by face-to-face interviews, where enumerators visited all households to interview persons therein one by one. In light of the changing lifestyle of big cities people and advancement of technology, new and additional means for data collection from the households will be introduced in the 2010 Population Census. Under the new multi-modal data collection approach, e-census on the Internet and self-enumeration will be rolled out, along with the traditional “interviewer” method.

Cleaning operations

The processing of data collected in a census constitutes one of the most important and challenging activities that have to be undertaken efficiently and expeditiously in order to justify the immense resources invested in a census. This activity entailed several processes: manual editing of the questionnaires after enumeration, data capture, data cleaning and validation, and finally tabulation. Intelligence character recognition (ICR) technology will be employed for data capture.

Government’s commitment to provide provisional results within two and half months after enumeration and final results within another six months greatly influenced the strategies and actions adopted at every stage of data processing in order to adhere to the commitment.

Historical dataset of population level and growth rate for the Cirebon, Indonesia metro area from 1950 to 2025.

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.

As of 2023, there were a total of around **** million male population aged between 15 and 64 years in Jakarta, Indonesia, showing a slightly higher number compared to female. Jakarta is Indonesia's capital and largest city, and it is the most populated city in the country.

Integrative Analysis of Air Quality, Population Mobility, and Weather Conditions in Indonesia

Dataset Overview

This comprehensive dataset integrates three heterogeneous data sources to analyze the relationship between air quality, population mobility patterns, and weather conditions across major Indonesian cities from September 2024 to October 2025. The dataset provides valuable insights for environmental monitoring, urban planning, and public health research in Indonesia.

Dataset Composition

1. Mobility Pattern Dataset

• Source: Meta's Data for Good Movement Distribution Initiative
• Records: 124,212 observations
• Coverage: Indonesian administrative regions (Level 2 - Kabupaten/Kota)
• Time Period: September 2024 - September 2025
• Key Features:
  • Geographic identifiers (GADM codes and district names)
  • Distance categories: Stay at home (0 km), Short-range (0-10 km), Medium-range (10-100 km), Long-range (100+ km)
  • Percentage distribution of population movement (ping fractions)
  • Temporal indicators (date, year, month)

Key Findings: Over 95% of movements occur within 0-10 km from home, indicating predominantly local mobility patterns. Long-distance travel remains minimal (<0.4%).

2. Air Quality Dataset (IQAir)

• Source: IQAir 2024 World Air Quality Report
• Coverage: 10 major Indonesian cities (Jakarta, Surabaya, Bandung, Palembang, Medan, Semarang, Mojokerto, Pekanbaru, Yogyakarta, Jambi)
• Time Period: Monthly data for 2024
• Key Features:
  • PM2.5 concentrations (μg/m³)
  • Air Quality Index (AQI) values
  • Annual and monthly averages per city
  • Comparisons with WHO guidelines

Key Findings: PM2.5 levels consistently exceed WHO guidelines throughout 2024, with critical peaks during May (65-132 μg/m³) and significant improvement in December. Seasonal patterns show higher pollution during dry months (April-October) due to biomass burning and decreased precipitation.

3. Weather Dataset (Open-Meteo)

• Source: Open-Meteo Historical Weather API
• Records: 744 daily observations
• Coverage: Multiple Indonesian cities
• Time Period: September 1, 2024 - October 1, 2025
• Key Features:
  • Temperature metrics (actual and apparent, min/max/mean)
  • Solar radiation (sunrise, sunset, daylight duration, sunshine duration)
  • Wind parameters (speed, gusts, direction)
  • Precipitation variables (rainfall, precipitation hours)

Key Findings: Consistent tropical monsoon characteristics with stable temperatures (23-30°C), erratic rainfall patterns, and high humidity levels. Temperature shows strong correlation with both AQI (0.39) and wind speed (0.57).

Data Processing & Quality

Preprocessing Techniques Applied:

• Advanced Imputation: K-Nearest Neighbors (KNN) and Random Forest methods for missing data
• Data Cleaning: Removal of duplicates, outliers, and inconsistent records
• Temporal Alignment: Standardization across different time resolutions (daily to monthly aggregation)
• Feature Engineering: Creation of derived variables including temporal indicators, weather indices, and mobility ratios
• Spatial Standardization: City-level normalization and geographic identifier harmonization

Data Quality Indicators:

• Comprehensive coverage across 9 consistently overlapping cities
• Temporal consistency validated across observation periods
• Multiple imputation methods tested for reliability
• Cross-validation performed on integrated dataset

Use Cases

This dataset is ideal for:

1. Environmental Policy Research: Understanding pollution patterns and seasonal variations
2. Urban Planning: Analyzing mobility trends and transportation needs
3. Public Health Studies: Investigating environmental health impacts and exposure patterns
4. Climate Analysis: Examining tropical monsoon characteristics and weather-pollution interactions
5. Machine Learning Applications: Time-series forecasting, correlation analysis, and predictive modeling
6. Behavioral Studies: Understanding how environmental conditions influence human mobility
7. Sustainability Research: Evaluating sustainable mobility and environmental monitoring strategies

Key Research Findings

• Weak Correlation: Air quality shows minimal direct correlation with mobility patterns (-0.35 to 0.33), suggesting low public awareness or economic necessity overrides health concerns
• Mobility Trade-offs: Strong negative correlation (-0.94) between short-distance and medium-distance travel indicates distinct mobility profiles
• Seasonal Patterns: Clear dry-wet season impact on both air quality and mobility
• Temperature Effects: Significant positive correlation between temperature and both AQI and wind speed

File Structure

The integrated dataset contains the following columns: ...

Historical dataset of population level and growth rate for the Batam, Indonesia metro area from 1950 to 2025.

SUSENAS is a nationally representative, ongoing household survey conducted by Statistics Indonesia (Badan Pusat Statistik, BPS) that aims to monitor the social and economic conditions of the Indonesian population. As of 2025, SUSENAS includes data from approximately 345,000 households across all 38 provinces and 514 districts/cities in Indonesia. Participants were recruited through systematic sampling from census blocks, stratified by factors such as the education level of the household head, with the first wave of data collection beginning in 1963. Participants are followed up twice a year, with data collection continuing indefinitely as part of Indonesia’s national statistical system.

Historical dataset of population level and growth rate for the Medan, Indonesia metro area from 1950 to 2025.

Data shared in this platform is data related to quality of life and domains in Medan City, North Sumatra Province, Indonesia. Medan City is the third largest city in Indonesia with a population of around 2.5 million. Medan city is certainly not spared from the Covid-19 Pandemic although judging by the percentage it is only 2-3% of the total Covid-19 sufferers in Indonesia. The quality of life measured is the quality of life of the community after 2 months of applying Physical Distancing. The application of Physical Distancing certainly has an impact on the declining quality of life of the people. By measuring the quality of life of the people during this pandemic, it is expected to be able to provide an overview for all stakeholders related to the impact of a pandemic and the policies undertaken in relation to the pandemic on the quality of life of people in an area. In the future, this is expected to be a good reference regarding pandemics and policies that should be implemented.

Japan’s largest city, greater Tokyo, had a staggering ***** million inhabitants in 2023, making it the most populous city across the Asia-Pacific region. India had the second largest city after Japan with a population consisting of approximately ** million inhabitants. Contrastingly, approximately *** thousand inhabitants populated Papua New Guinea's largest city in 2023. A megacity regionNot only did Japan and India have the largest cities throughout the Asia-Pacific region but they were among the three most populated cities worldwide in 2023. Interestingly, over half on the world’s megacities were situated in the Asia-Pacific region. However, being home to more than half of the world’s population, it does not seem surprising that by 2025 it is expected that more than two thirds of the megacities across the globe will be located in the Asia Pacific region. Other megacities are also expected to emerge within the Asia-Pacific region throughout the next decade. There have even been suggestions that Indonesia’s Jakarta and its conurbation will overtake Greater Tokyo in terms of population size by 2030. Increasing populationsIncreased populations in megacities can be down to increased economic activity. As more countries across the Asia-Pacific region have made the transition from agriculture to industry, the population has adjusted accordingly. Thus, more regions have experienced higher shares of urban populations. However, as many cities such as Beijing, Shanghai, and Seoul have an aging population, this may have an impact on their future population sizes, with these Asian regions estimated to have significant shares of the population being over 65 years old by 2035.