100+ datasets found
  1. T

    POPULATION by Country in ASIA/1000

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jan 12, 2024
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    TRADING ECONOMICS (2024). POPULATION by Country in ASIA/1000 [Dataset]. https://tradingeconomics.com/country-list/population?continent=asia/1000
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    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Jan 12, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Asia
    Description

    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.

  2. Population of CEE and Central Asia 2023, by country

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). Population of CEE and Central Asia 2023, by country [Dataset]. https://www.statista.com/statistics/1337237/cee-and-central-asia-population-by-country/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    CEE, Asia, Central Asia
    Description

    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.

  3. Total population of the ASEAN countries from 2020 to 2030

    • statista.com
    Updated May 27, 2025
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    Statista (2025). Total population of the ASEAN countries from 2020 to 2030 [Dataset]. https://www.statista.com/statistics/796222/total-population-of-the-asean-countries/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    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.

  4. T

    Population Growth for Developing Countries in East Asia and Pacific

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 11, 2018
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    TRADING ECONOMICS (2018). Population Growth for Developing Countries in East Asia and Pacific [Dataset]. https://tradingeconomics.com/united-states/population-growth-for-developing-countries-in-east-asia-and-pacific-fed-data.html
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Mar 11, 2018
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    East Asia, Asia-Pacific
    Description

    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 July of 2025.

  5. Total population APAC 2023, by country

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Total population APAC 2023, by country [Dataset]. https://www.statista.com/statistics/632565/asia-pacific-total-population-by-country/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Asia-Pacific
    Description

    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.   

  6. G

    Percent female population in Asia | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Nov 28, 2019
    + more versions
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    Globalen LLC (2019). Percent female population in Asia | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/percent_female_population/Asia/
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    excel, csv, xmlAvailable download formats
    Dataset updated
    Nov 28, 2019
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    World, Asia
    Description

    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.

  7. G

    Percent of world population in Asia | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Nov 26, 2019
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    Globalen LLC (2019). Percent of world population in Asia | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/population_share/Asia/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    Nov 26, 2019
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    World, Asia, World
    Description

    The average for 2023 based on 47 countries was 1.23 percent. The highest value was in India: 17.94 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.

  8. Median age SEA 2023, by country

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Median age SEA 2023, by country [Dataset]. https://www.statista.com/statistics/590942/median-age-of-the-population-in-south-east-asia/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    APAC, Asia
    Description

    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.

  9. G

    Refugee population in South East Asia | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 15, 2021
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    Globalen LLC (2021). Refugee population in South East Asia | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/refugee_population/South-East-Asia/
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    xml, excel, csvAvailable download formats
    Dataset updated
    Feb 15, 2021
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    World, Asia
    Description

    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.

  10. Population density APAC 2023, by country

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Population density APAC 2023, by country [Dataset]. https://www.statista.com/statistics/640612/asia-pacific-population-density-by-country/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Asia-Pacific
    Description

    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.

  11. The potential impact of international migration on prospective population...

    • zenodo.org
    bin, csv, txt
    Updated Dec 8, 2024
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    Markus Dörflinger; Markus Dörflinger; Michaela Potančoková; Michaela Potančoková; Guillaume Marois; Guillaume Marois (2024). The potential impact of international migration on prospective population ageing in Asian countries: Code and datasets [Dataset]. http://doi.org/10.5281/zenodo.12705066
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    bin, csv, txtAvailable download formats
    Dataset updated
    Dec 8, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Markus Dörflinger; Markus Dörflinger; Michaela Potančoková; Michaela Potančoková; Guillaume Marois; Guillaume Marois
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Asia
    Description

    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.

  12. G

    Population growth in South East Asia | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 25, 2021
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    Globalen LLC (2021). Population growth in South East Asia | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/population_growth/South-East-Asia/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    Jan 25, 2021
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1961 - Dec 31, 2023
    Area covered
    South East Asia, Asia, World
    Description

    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.

  13. Mid-year population SEA 2023, by country

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Mid-year population SEA 2023, by country [Dataset]. https://www.statista.com/statistics/615325/mid-year-population-in-southeast-asia-2016-by-country/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    APAC, Asia
    Description

    In 2023, the mid-year population of Indonesia stood at more than *** million people. Comparatively, the population of Timor-Leste stood at approximately *** million people, while that of Brunei was at about half a million as of mid-2023.

  14. i

    Asian Barometer Survey 2010-2011, Wave 3 - China, Hong Kong SAR, China,...

    • catalog.ihsn.org
    • dev.ihsn.org
    Updated Aug 26, 2021
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    Institute of Political Science (2021). Asian Barometer Survey 2010-2011, Wave 3 - China, Hong Kong SAR, China, Indonesia, India, Japan, Cambodia, Korea, Rep., Sri Lanka, Mongolia, Ma [Dataset]. https://catalog.ihsn.org/catalog/3001
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    Dataset updated
    Aug 26, 2021
    Dataset provided by
    Institute of Political Science
    East Asia Democratic Studies
    Time period covered
    2010 - 2011
    Area covered
    India, Mongolia, Cambodia, Sri Lanka, Hong Kong, South Korea, Japan, Indonesia
    Description

    Abstract

    The third wave of the Asian Barometer survey (ABS) conducted in 2010 and the database contains nine countries and regions in East Asia - the Philippines, Taiwan, Thailand, Mongolia, Singapore, Vietnam, Indonesia, Malaysia and South Korea. The ABS is an applied research program on public opinion on political values, democracy, and governance around the region. The regional network encompasses research teams from 13 East Asian political systems and 5 South Asian countries. Together, this regional survey network covers virtually all major political systems in the region, systems that have experienced different trajectories of regime evolution and are currently at different stages of political transition.

    The mission and task of each national research team are to administer survey instruments to compile the required micro-level data under a common research framework and research methodology to ensure that the data is reliable and comparable on the issues of citizens' attitudes and values toward politics, power, reform, and democracy in Asia.

    The Asian Barometer Survey is headquartered in Taipei and co-hosted by the Institute of Political Science, Academia Sinica and The Institute for the Advanced Studies of Humanities and Social Sciences, National Taiwan University.

    Geographic coverage

    13 East Asian political systems: Japan, Mongolia, South Koreas, Taiwan, Hong Kong, China, the Philippines, Thailand, Vietnam, Cambodia, Singapore, Indonesia, and Malaysia; 5 South Asian countries: India, Pakistan, Bangladesh, Sri Lanka, and Nepal

    Analysis unit

    -Individuals

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Compared with surveys carried out within a single nation, cross-nation survey involves an extra layer of difficulty and complexity in terms of survey management, research design, and database modeling for the purpose of data preservation and easy analysis. To facilitate the progress of the Asian Barometer Surveys, the survey methodology and database subproject is formed as an important protocol specifically aiming at overseeing and coordinating survey research designs, database modeling, and data release.

    As a network of Global Barometer Surveys, Asian Barometer Survey requires all country teams to comply with the research protocols which Global Barometer network has developed, tested, and proved practical methods for conducting comparative survey research on public attitudes.

    Research Protocols:

    • National probability samples that give every citizen in each country an equal chance of being selected for interview. Whether using census household lists or a multistage area approach, the method for selecting sampling units is always randomized. The samples may be stratified, or weights applied, to ensure coverage of rural areas and minority populations in their correct proportions. As such, Asian Barometer samples represent the adult, voting-age population in each country surveyed.

    A model Asian Barometer Survey has a sample size of 1,200 respondents, which allows a minimum confidence interval of plus or minus 3 percent at 95 percent probability.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    A standard questionnaire instrument containing a core module of identical or functionally equivalent questions. Wherever possible, theoretical concepts are measured with multiple items in order to enable testing for construct validity. The wording of items is determined by balancing various criteria, including: the research themes emphasized in the survey, the comprehensibility of the item to lay respondents, and the proven effectiveness of the item when tested in previous surveys.

    Survey Topics: 1.Economic Evaluations: What is the economic condition of the nation and your family: now, over the last five years, and in the next five years? 2.Trust in institutions: How trustworthy are public institutions, including government branches, the media, the military, and NGOs. 3.Social Capital: Membership in private and public groups, the frequency and degree of group participation, trust in others, and influence of guanxi. 4.Political Participatio: Voting in elections, national and local, country-specific voting patterns, and active participation in the political process as well as demonstrations and strikes. Contact with government and elected officials, political organizations, NGOs and media. 5.Electoral Mobilization: Personal connections with officials, candidates, and political parties; influence on voter choice. 6.Psychological Involvement and Partisanship: Interest in political news coverage, impact of government policies on daily life, and party allegiance. 7.Traditionalism: Importance of consensus and family, role of the elderly, face, and woman in theworkplace. 8.Democratic Legitimacy and Preference for Democracy: Democratic ranking of present and previous regime, and expected ranking in the next five years; satisfaction with how democracy works, suitability of democracy; comparisons between current and previous regimes, especially corruption; democracy and economic development, political competition, national unity, social problems, military government, and technocracy. 9.Efficacy, Citizen Empowerment, System Responsiveness: Accessibility of political system: does a political elite prevent access and reduce the ability of people to influence the government. 10.Democratic vs. Authoritarian Values: Level of education and political equality, government leadership and superiority, separation of executive and judiciary. 11.Cleavage: Ownership of state-owned enterprises, national authority over local decisions, cultural insulation, community and the individual. 12.Belief in Procedural Norms of Democracy: Respect of procedures by political leaders: compromise, tolerance of opposing and minority views. 13.Social-Economic Background Variables: Gender, age, marital status, education level, years of formal education, religion and religiosity, household, income, language and ethnicity. 14.Interview Record: Gender, age, class, and language of the interviewer, people present at the interview; did the respondent: refuse, display impatience, and cooperate; the language or dialect spoken in interview, and was an interpreter present.

    Cleaning operations

    Quality checks are enforced at every stage of data conversion to ensure that information from paper returns is edited, coded, and entered correctly for purposes of computer analysis. Machine readable data are generated by trained data entry operators and a minimum of 20 percent of the data is entered twice by independent teams for purposes of cross-checking. Data cleaning involves checks for illegal and logically inconsistent values.

  15. T

    South Asia - Population Growth (annual %)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 20, 2013
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    TRADING ECONOMICS (2013). South Asia - Population Growth (annual %) [Dataset]. https://tradingeconomics.com/south-asia/population-growth-annual-percent-wb-data.html
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Jul 20, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    South Asia, Asia
    Description

    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 August of 2025.

  16. f

    Data_Sheet_1_What Level of Migration Is Required to Achieve Zero Population...

    • frontiersin.figshare.com
    docx
    Updated Jun 9, 2023
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    Peter McDonald; Meimanat Hosseini-Chavoshi (2023). Data_Sheet_1_What Level of Migration Is Required to Achieve Zero Population Growth in the Shortest Possible Time? Asian Examples.docx [Dataset]. http://doi.org/10.3389/fhumd.2022.762199.s001
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    docxAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    Frontiers
    Authors
    Peter McDonald; Meimanat Hosseini-Chavoshi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Sustained below replacement fertility leads to declining population size. Several countries in Asia have experienced below replacement fertility for many years. The paper applies a novel approach to examining the viability of using immigration to achieve zero population growth in six Asian countries: China, Japan, Republic of Korea, Thailand, Singapore and Australia. The novel approach is to estimate the level of immigration that would be required to maintain a constant annual number of births in the long term. Maintaining the number of births at the current level is the fastest way to achieve eventual zero population growth. A population with a constant annual number of births, labeled as a quasi-stationary population, also has a near-to constant age structure that is not excessively old. The study concludes that, for all countries except Australia, no reasonable level of immigration could produce a quasi-stationary population if fertility remains at the country's 2020 level. The constraining factors are the current population size and level of fertility and the extent to which there is acceptance of permanent immigrants in the country. If fertility were to increase over 15–20 years to 1.7 births per woman and the country was accepting of relatively large numbers of permanent immigrants, the quasi-stable outcome becomes potentially viable for all countries except China.

  17. d

    Geographical Distribution of Biomass Carbon in Tropical Southeast Asian...

    • search.dataone.org
    • dataone.org
    Updated Nov 17, 2014
    + more versions
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    Brown, Sandra; Iverson, Louis R.; Prasad, Anantha (2014). Geographical Distribution of Biomass Carbon in Tropical Southeast Asian Forests (NDP-068) [Dataset]. https://search.dataone.org/view/Geographical_Distribution_of_Biomass_Carbon_in_Tropical_Southeast_Asian_Forests_%28NDP-068%29.xml
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    Dataset updated
    Nov 17, 2014
    Dataset provided by
    Regional and Global Biogeochemical Dynamics Data (RGD)
    Authors
    Brown, Sandra; Iverson, Louis R.; Prasad, Anantha
    Time period covered
    Jan 1, 1980 - Dec 31, 1980
    Area covered
    Description

    A database (NDP-068) was generated from estimates of geographically referenced carbon densities of forest vegetation in tropical Southeast Asia for 1980. A geographic information system (GIS) was used to incorporate spatial databases of climatic, edaphic, and geomorphological indices and vegetation to estimate potential (i.e., in the absence of human intervention and natural disturbance) carbon densities of forests. The resulting map was then modified to estimate actual 1980 carbon density as a function of population density and climatic zone. The database covers the following 13 countries: Bangladesh, Brunei, Cambodia (Campuchea), India, Indonesia, Laos, Malaysia, Myanmar (Burma), Nepal, the Philippines, Sri Lanka, Thailand, and Vietnam.

    The data sets within this database are provided in three file formats: ARC/INFOTM exported integer grids; ASCII (American Standard Code for Information Interchange) files formatted for raster-based GIS software packages; and generic ASCII files with x, y coordinates for use with non-GIS software packages.

    The database includes ten ARC/INFO exported integer grid files (five with the pixel size 3.75 km x 3.75 km and five with the pixel size 0.25 degree longitude x 0.25 degree latitude) and 27 ASCII files. The first ASCII file contains the documentation associated with this database. Twenty-four of the ASCII files were generated by means of the ARC/INFO GRIDASCII command and can be used by most raster-based GIS software packages. The 24 files can be subdivided into two groups of 12 files each.

    The files contain real data values representing actual carbon and potential carbon density in Mg C/ha (1 megagram = 10^6 grams) and integer-coded values for country name, Weck's Climatic Index, ecofloristic zone, elevation, forest or non- forest designation, population density, mean annual precipitation, slope, soil texture, and vegetation classification. One set of 12 files contains these data at a spatial resolution of 3.75 km, whereas the other set of 12 files has a spatial resolution of 0.25 degree. The remaining two ASCII data files combine all of the data from the 24 ASCII data files into 2 single generic data files. The first file has a spatial resolution of 3.75 km, and the second has a resolution of 0.25 degree. Both files also provide a grid-cell identification number and the longitude and latitude of the centerpoint of each grid cell.

    The 3.75-km data in this numeric data package yield an actual total carbon estimate of 42.1 Pg (1 petagram = 10^15 grams) and a potential carbon estimate of 73.6 Pg; whereas the 0.25-degree data produced an actual total carbon estimate of 41.8 Pg and a total potential carbon estimate of 73.9 Pg.

    Fortran and SASTM access codes are provided to read the ASCII data files, and ARC/INFO and ARCVIEW command syntax are provided to import the ARC/INFO exported integer grid files. The data files and this documentation are available without charge on a variety of media and via the Internet from the Carbon Dioxide Information Analysis Center (CDIAC).

  18. T

    GDP by Country in ASIA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
    + more versions
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    TRADING ECONOMICS (2025). GDP by Country in ASIA [Dataset]. https://tradingeconomics.com/country-list/gdp?continent=asia
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Asia
    Description

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

  19. Average annual population growth rate APAC 2018-2023, by country

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). Average annual population growth rate APAC 2018-2023, by country [Dataset]. https://www.statista.com/statistics/651200/asia-pacific-population-average-annual-growth-rate-by-country/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Asia-Pacific
    Description

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

  20. T

    GDP PER CAPITA by Country in ASIA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 26, 2017
    + more versions
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    TRADING ECONOMICS (2017). GDP PER CAPITA by Country in ASIA [Dataset]. https://tradingeconomics.com/country-list/gdp-per-capita?continent=asia
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    May 26, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Asia
    Description

    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.

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Link copied
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TRADING ECONOMICS (2024). POPULATION by Country in ASIA/1000 [Dataset]. https://tradingeconomics.com/country-list/population?continent=asia/1000

POPULATION by Country in ASIA/1000

POPULATION by Country in ASIA/1000 (2025)

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6 scholarly articles cite this dataset (View in Google Scholar)
csv, excel, xml, jsonAvailable download formats
Dataset updated
Jan 12, 2024
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
2025
Area covered
Asia
Description

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.

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