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

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.

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.

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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Indonesia Smart Cities Market was valued at USD 1.48 billion in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 15.84% through 2029.

Indonesia Smart Cities Market is valued at USD 1.5 billion, driven by urbanization, government initiatives like '100 Smart Cities', and tech adoption in transportation and utilities.

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.

mart city movements are growing all over the world. The un-dertaking is expected to solve a plethora of problems arising from urbanization. Indonesia is one of the countries who march toward the development of sustainable smart cities. However, before the government can start a smart city project, they need to assess the readiness of each target city. Data in this article illustrate the readiness of six major cities in Indonesia, which are Semarang, Makassar, Jakarta, Samarinda, Medan, and Surabaya. They repre-sent the four biggest islands in Indonesia. The readiness assess-ment was based on three main elements and six Smart City Pillars taken from Smart City Master Plan Preparation Guidance Book prepared by Ministry of Communication and Information Tech-nology of the Republic of Indonesia. Those elements serve as a checklist to determine the readiness of the cities. Data for quali-tative analysis were gathered through interviews and triangulated through secondary sources, such as publication from Statistics Indonesia and the assessment reports. The dataset contains in-formation on the readiness assessment is presented in this article. The indices of the six region's readiness assessment are presented in percentages.

Indonesia Residential Property Price Index: BI: 18 City: Large data was reported at 175.883 2002=100 in Jun 2019. This records an increase from the previous number of 175.833 2002=100 for Mar 2019. Indonesia Residential Property Price Index: BI: 18 City: Large data is updated quarterly, averaging 167.427 2002=100 from Mar 2012 (Median) to Jun 2019, with 30 observations. The data reached an all-time high of 175.883 2002=100 in Jun 2019 and a record low of 137.419 2002=100 in Mar 2012. Indonesia Residential Property Price Index: BI: 18 City: Large data remains active status in CEIC and is reported by Bank of Indonesia. The data is categorized under Global Database’s Indonesia – Table ID.EF005: Residential Property Price Index: by Cities.

According to a survey on the incremental consumption in Indonesia in 2022, approximately ** percent of the respondents were consumers from second-tier cities. Meanwhile, major cities such as Bandung, Bekasi, Bogor, Jakarta, and Tangerang, contributed around ** percent of the incremental consumption in the country.

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.

This data was collected from a survey of 1781 households in the six largest cities of Java and Bali between June & July 2006. The sampling frame and survey protocol was based on that used by Nielsen Indoneisa. The data set includes incidence of pet-keeping and bird species kept, motivations for bird-keeping, and expenditure on the hobby.

Indonesia Residential Property Price Index: BI: 17 City: Large data was reported at 147.707 2002=100 in Jun 2019. This records an increase from the previous number of 147.668 2002=100 for Mar 2019. Indonesia Residential Property Price Index: BI: 17 City: Large data is updated quarterly, averaging 142.486 2002=100 from Mar 2012 (Median) to Jun 2019, with 30 observations. The data reached an all-time high of 147.707 2002=100 in Jun 2019 and a record low of 125.073 2002=100 in Mar 2012. Indonesia Residential Property Price Index: BI: 17 City: Large data remains active status in CEIC and is reported by Bank of Indonesia. The data is categorized under Global Database’s Indonesia – Table ID.EF005: Residential Property Price Index: by Cities.

Residential Property Price Index: 18 Cities: Large data was reported at 107.304 2018=100 in Dec 2024. This records an increase from the previous number of 107.109 2018=100 for Sep 2024. Residential Property Price Index: 18 Cities: Large data is updated quarterly, averaging 102.588 2018=100 from Mar 2018 (Median) to Dec 2024, with 28 observations. The data reached an all-time high of 107.304 2018=100 in Dec 2024 and a record low of 99.532 2018=100 in Mar 2018. Residential Property Price Index: 18 Cities: Large data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Global Database’s Indonesia – Table ID.EF010: Residential Property Price Index: by Cities. [COVID-19-IMPACT]

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.

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.

These files contain the data and scripts needed to replicate the analyses found in "City Size and Public Service Access: Evidence from Brazil and Indonesia."

This statistic shows the median age of the population in Indonesia from 1950 to 2100. The median age is the age that divides a population into two numerically equal groups; that is, half the people are younger than this age and half are older. It is a single index that summarizes the age distribution of a population. In 2020, the median age of the Indonesian population was 29.1 years. Life in Indonesia The Republic of Indonesia is a sovereign state archipelago in Southeast Asia. Indonesia is made up of more than 17,000 islands, with the biggest three being Java, Sumatra and Borneo. In 2010, Indonesia reported a total population of around 238 million people, and it is estimated that this figure will increase to around 255 million inhabitants by 2015. The biggest cities in Indonesia are its capital Jakarta, Surabaya, and Bandung. Jakarta alone is home to more than 9.6 million inhabitants. Currently, there are more than 7 billion people in the world and Asia is the continent with the largest population. More than 4 billion people lived in Asia in mid-2014. Indonesia is the second most populous country in Asia, behind China and the fourth most populous nation in the world. As a result of an improving economy and better health and living conditions, life expectancy in Indonesia is steadily increasing - between 2002 and 2012, it increased by almost 3 years . Due of a decreasing fertility rate, Indonesian parents are able to more easily provide for their families and the population is still increasing and living longer. The average age of the population in Indonesia is estimated to be around 28.4 years in 2015.

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: ...