This dataset provides values for POPULATION reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

In 2023, the total population of all ASEAN states amounted to an estimated 619.02 million inhabitants. The ASEAN (Association of Southeast Asian Nations) member countries are Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam. ASEAN opportunity The Association of Southeast Asian Nations was founded by five states (Thailand, Indonesia, the Philippines, Malaysia, and Singapore) in 1967 to improve economic and political stability and social progress among the member states. It was originally modelled after the European Union. Nowadays, after accepting more members, their agenda also includes an improvement of cultural and environmental conditions. ASEAN is now an important player on the global stage with numerous alliances and business partners, as well as more contenders wanting to join. The major player in the SouthIndonesia is not only a founding member of ASEAN, it is also its biggest contributor in terms of gross domestic product and is also one of the member states with a positive trade balance. In addition, it has the highest number of inhabitants by far. About a third of all people in the ASEAN live in Indonesia – and it is also one of the most populous countries worldwide. Among the ASEAN members, it is certainly the most powerful one, not just in numbers, but mostly due to its stable and thriving economy.

The average for 2023 based on 47 countries was 48.3 percent. The highest value was in Hong Kong: 54.92 percent and the lowest value was in Qatar: 28.48 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

Russia had the largest population among countries in Central and Eastern Europe (CEE) and Central Asia, at 143.8 million in 2023. To compare, Poland had over 39 million inhabitants. The least populated country in the region was Montenegro.

Population Growth for Developing Countries in East Asia and Pacific was 0.18595 % Chg. at Annual Rate in January of 2023, according to the United States Federal Reserve. Historically, Population Growth for Developing Countries in East Asia and Pacific reached a record high of 2.81033 in January of 1966 and a record low of -0.04428 in January of 1961. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Growth for Developing Countries in East Asia and Pacific - last updated from the United States Federal Reserve on June of 2025.

In 2023, there were around ***** inhabitants per square kilometer living in Singapore. In comparison, there were approximately two inhabitants per square kilometer living in Mongolia that year.

The average for 2023 based on 11 countries was 1.25 percent. The highest value was in Singapore: 4.86 percent and the lowest value was in Thailand: 0.15 percent. The indicator is available from 1961 to 2023. Below is a chart for all countries where data are available.

Between 2018 and 2023, the Maldives had the highest average annual population growth rate across the Asia-Pacific region, 2.9 percent. In contrast, Taiwan's population experienced a negative growth of 0.2 percent during this period.

The average for 2023 based on 7 countries was 69354 refugees. The highest value was in India: 252867 refugees and the lowest value was in Vietnam: 19 refugees. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

India's total population reached nearly **** billion people as of 2023, making the country by far the most populous throughout the Asia-Pacific region. Contrastingly, Micronesia had a total population of around *** thousand people in the same year. The demographics of APAC Asia-Pacific, made up of many different countries and regions, is the most populated region across the globe. Being home to a significant number of megacities, and with the population ever-increasing, the region is unsurprisingly expected to have the largest urban population by 2050. However, as of 2021, the majority of Asia-Pacific countries had rural populations greater than ** percent.  Population densities Despite China being the most populated country across the region, it fell in the middle of Asia-Pacific regions in terms of population density. On the other hand, Macao, Singapore, and Hong Kong all had the highest population densities across the Asia-Pacific region. These three Asia-Pacific regions also ranked among the top four densest populations worldwide.   

Population growth (annual %) in South Asia was reported at 0.88648 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Asia - Population growth (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The average for 2023 based on 11 countries was 49.48 percent. The highest value was in Thailand: 51.26 percent and the lowest value was in Brunei: 46.86 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

The average for 2023 based on 47 countries was 1.23 percent. The highest value was in India: 17.91 percent and the lowest value was in Bhutan: 0.01 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

South Asia rural population for 2023 was 1,242,579,585, a 0.22% increase from 2022.

<ul style='margin-top:20px;'>

<li>South Asia rural population for 2022 was <strong>1,239,792,401</strong>, a <strong>0.2% increase</strong> from 2021.</li>
<li>South Asia rural population for 2021 was <strong>1,237,335,386</strong>, a <strong>0.3% increase</strong> from 2020.</li>
<li>South Asia rural population for 2020 was <strong>1,233,679,892</strong>, a <strong>0.44% increase</strong> from 2019.</li>
</ul>Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. Aggregation of urban and rural population may not add up to total population because of different country coverages.

In 2023, the median age of the population in Thailand was **** years, which was the oldest median age across Southeast Asia. Comparatively, the median age of Timor-Leste's population was ** years in 2023.

We assess the potential impact of international migration on population ageing in Asian countries by estimating replacement migration for the period 2022-2050.

This open data deposit contains the code (R-scripts) and the datasets (csv-files) for the replacement migration scenarios and a zero-migration scenario:

• Constant chronological old-age dependency ratio (Constant OADR scenario)
• Constant prospective old-age dependency ratio (Constant POADR scenario)
• Constant chronological working-age population (Constant WA scenario)
• Constant prospective working-age population (Constant PWA scenario)
• Zero-migration (ZM scenario)

Countries included in the analysis: Armenia, China, Georgia, Hong Kong, Japan, Macao, North Korea, Singapore, South Korea, Taiwan, Thailand.

Please note that for Armenia and Hong Kong (2023) and Georgia (2024) later baseline years are applied due to the UN country-specific assumptions on post-Covid-19 mortality.

For detailed information about the scenarios and parameters:

Dörflinger, M., Potancokova, M., Marois, G. (2024): The potential impact of international migration on prospective population ageing in Asian countries. Asian Population Studies. https://doi.org/10.1080/17441730.2024.2436201

All underlying data (UN World Population Prospects 2022) are openly available at:

https://population.un.org/wpp/Download/Archive

Code

1_Data.R:

• Load and merge data from UN World Population Prospects 2022
• Define sample
• Prepare data (prospective old-age thresholds, model sex and age pattern of migrants)

2_Scenarios.R:

• Replacement migration scenarios:
  • Constant chronological old-age dependency
  • Constant prospective old-age dependency
  • Constant chronological working-age population
  • Constant prospective working-age population
• Zero-migration scenario

3_Robustness_checks.R:

• Run replacement migrations scenarios with different model sex and age patterns for net migration

Program version used: RStudio "Chocolate Cosmos" (e4392fc9, 2024-06-05). Files may not be compatible with other versions.

Datasets

The datasets contain the key information on population size, the relevant indicators (OADR, POADR, WA, PWA) and replacement migration volumes and rates by country and year. Please see readme_datasets.txt for detailed information.

Acknowledgements

Part of the research was developed in the Young Scientists Summer Program at the International Institute for Applied Systems Analysis, Laxenburg (Austria) with financial support from the German National Member Organization.

The average for 2023 based on 11 countries was 53.65 percent. The highest value was in Singapore: 100 percent and the lowest value was in Cambodia: 25.57 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

The average for 2020 based on 4 countries was 8.29 hospital beds. The highest value was in South Korea: 12.65 hospital beds and the lowest value was in Israel: 2.92 hospital beds. The indicator is available from 1960 to 2021. Below is a chart for all countries where data are available.

In 2023, the median age of the population in Sri Lanka was 32.8 years. Contrastingly, the median age of the population in Pakistan was 20.3 years in 2023.

This dataset provides values for GDP PER CAPITA reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.