70 datasets found
  1. T

    POPULATION by Country in ASIA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Oct 20, 2025
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    TRADING ECONOMICS (2025). POPULATION by Country in ASIA [Dataset]. https://tradingeconomics.com/country-list/population?continent=asia
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    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Oct 20, 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 POPULATION reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  2. Countries with the largest population 2025

    • statista.com
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    Statista, Countries with the largest population 2025 [Dataset]. https://www.statista.com/statistics/262879/countries-with-the-largest-population/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    World
    Description

    In 2025, India overtook China as the world's most populous country and now has almost 1.46 billion people. China now has the second-largest population in the world, still with just over 1.4 billion inhabitants, however, its population went into decline in 2023. Global population As of 2025, the world's population stands at almost 8.2 billion people and is expected to reach around 10.3 billion people in the 2080s, when it will then go into decline. Due to improved healthcare, sanitation, and general living conditions, the global population continues to increase; mortality rates (particularly among infants and children) are decreasing and the median age of the world population has steadily increased for decades. As for the average life expectancy in industrial and developing countries, the gap has narrowed significantly since the mid-20th century. Asia is the most populous continent on Earth; 11 of the 20 largest countries are located there. It leads the ranking of the global population by continent by far, reporting four times as many inhabitants as Africa. The Demographic Transition The population explosion over the past two centuries is part of a phenomenon known as the demographic transition. Simply put, this transition results from a drastic reduction in mortality, which then leads to a reduction in fertility, and increase in life expectancy; this interim period where death rates are low and birth rates are high is where this population explosion occurs, and population growth can remain high as the population ages. In today's most-developed countries, the transition generally began with industrialization in the 1800s, and growth has now stabilized as birth and mortality rates have re-balanced. Across less-developed countries, the stage of this transition varies; for example, China is at a later stage than India, which accounts for the change in which country is more populous - understanding the demographic transition can help understand the reason why China's population is now going into decline. The least-developed region is Sub-Saharan Africa, where fertility rates remain close to pre-industrial levels in some countries. As these countries transition, they will undergo significant rates of population growth.

  3. Total population of the ASEAN countries 2020-2030

    • statista.com
    Updated Oct 16, 2025
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    Statista (2025). Total population of the ASEAN countries 2020-2030 [Dataset]. https://www.statista.com/statistics/796222/total-population-of-the-asean-countries/
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    Dataset updated
    Oct 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Philippines
    Description

    In 2024, the total population of all ASEAN states amounted to an estimated 686.1 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. Largest countries and territories in the world by area

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Largest countries and territories in the world by area [Dataset]. https://www.statista.com/statistics/262955/largest-countries-in-the-world/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    World
    Description

    Russia is the largest country in the world by far, with a total area of just over 17 million square kilometers. After Antarctica, the next three countries are Canada, the U.S., and China; all between 9.5 and 10 million square kilometers. The figures given include internal water surface area (such as lakes or rivers) - if the figures were for land surface only then China would be the second largest country in the world, the U.S. third, and Canada (the country with more lakes than the rest of the world combined) fourth. Russia Russia has a population of around 145 million people, putting it in the top ten most populous countries in the world, and making it the most populous in Europe. However, it's vast size gives it a very low population density, ranked among the bottom 20 countries. Most of Russia's population is concentrated in the west, with around 75 percent of the population living in the European part, while around 75 percent of Russia's territory is in Asia; the Ural Mountains are considered the continental border. Elsewhere in the world Beyond Russia, the world's largest countries all have distinctive topographies and climates setting them apart. The United States, for example, has climates ranging from tundra in Alaska to tropical forests in Florida, with various mountain ranges, deserts, plains, and forests in between. Populations in these countries are often concentrated in urban areas, and are not evenly distributed across the country. For example, around 85 percent of Canada's population lives within 100 miles of the U.S. border; around 95 percent of China lives east of the Heihe–Tengchong Line that splits the country; and the majority of populations in large countries such as Australia or Brazil live near the coast.

  5. Highest population density by country 2024

    • statista.com
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    Statista, Highest population density by country 2024 [Dataset]. https://www.statista.com/statistics/264683/top-fifty-countries-with-the-highest-population-density/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    World
    Description

    Monaco led the ranking for countries with the highest population density in 2024, with nearly 26,000 residents per square kilometer. The Special Administrative Region of Macao came in second, followed by Singapore. The world’s second smallest country Monaco is the world’s second-smallest country, with an area of about two square kilometers and a population of only around 40,000. It is a constitutional monarchy located by the Mediterranean Sea, and while Monaco is not part of the European Union, it does participate in some EU policies. The country is perhaps most famous for the Monte Carlo casino and for hosting the Monaco Grand Prix, the world's most prestigious Formula One race. The global population Globally, the population density per square kilometer is about 60 inhabitants, and Asia is the most densely populated region in the world. The global population is increasing rapidly, so population density is only expected to increase. In 1950, for example, the global population stood at about 2.54 billion people, and it reached over eight billion during 2023.

  6. T

    GDP by Country in ASIA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 13, 2025
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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
    Nov 13, 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.

  7. Country-Level Population and Downscaled Projections Based on the SRES A1,...

    • data.nasa.gov
    Updated Jan 1, 1990
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    nasa.gov (1990). Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, 1990-2100 - Dataset - NASA Open Data Portal [Dataset]. https://data.nasa.gov/dataset/country-level-population-and-downscaled-projections-based-on-the-sres-a1-b1-and-a2-sc-1990
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    Dataset updated
    Jan 1, 1990
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The Country-Level Population and Downscaled Projections Based on Special Report on Emissions Scenarios (SRES) A1, B1, and A2 Scenarios, 1990-2100, were adopted in 2000 from population projections realized at the International Institute for Applied Systems Analysis (IIASA) in 1996. The Intergovernmental Panel on Climate Change (IPCC) SRES A1 and B1 scenarios both used the same IIASA "rapid" fertility transition projection, which assumes low fertility and low mortality rates. The SRES A2 scenario used a corresponding IIASA "slow" fertility transition projection (high fertility and high mortality rates). Both IIASA low and high projections are performed for 13 world regions including North Africa, Sub-Saharan Africa, China and Centrally Planned Asia, Pacific Asia, Pacific OECD, Central Asia, Middle East, South Asia, Eastern Europe, European part of the former Soviet Union, Western Europe, Latin America, and North America. This data set is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

  8. T

    GDP PER CAPITA by Country in ASIA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 26, 2017
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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
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    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.

  9. Population in Africa 2025, by selected country

    • statista.com
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    Statista, Population in Africa 2025, by selected country [Dataset]. https://www.statista.com/statistics/1121246/population-in-africa-by-country/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Africa
    Description

    Nigeria has the largest population in Africa. As of 2025, the country counted over 237.5 million individuals, whereas Ethiopia, which ranked second, has around 135.5 million inhabitants. Egypt registered the largest population in North Africa, reaching nearly 118.4 million people. In terms of inhabitants per square kilometer, Nigeria only ranked seventh, while Mauritius had the highest population density on the whole African continent in 2023. The fastest-growing world region Africa is the second most populous continent in the world, after Asia. Nevertheless, Africa records the highest growth rate worldwide, with figures rising by over two percent every year. In some countries, such as Chad, South Sudan, Somalia, and the Central African Republic, the population increase peaks at over 3.4 percent. With so many births, Africa is also the youngest continent in the world. However, this coincides with a low life expectancy. African cities on the rise The last decades have seen high urbanization rates in Asia, mainly in China and India. African cities are also growing at large rates. Indeed, the continent has three megacities and is expected to add four more by 2050. Furthermore, Africa's fastest-growing cities are forecast to be Bujumbura, in Burundi, and Zinder, Nigeria, by 2035.

  10. Table of primer sequences.

    • plos.figshare.com
    xls
    Updated Dec 4, 2024
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    Kanyanat Wongsa; Ekgachai Jeratthitikul; Pisit Poolprasert; Orawan Duangphakdee; Atsalek Rattanawannee (2024). Table of primer sequences. [Dataset]. http://doi.org/10.1371/journal.pone.0312386.t001
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    xlsAvailable download formats
    Dataset updated
    Dec 4, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Kanyanat Wongsa; Ekgachai Jeratthitikul; Pisit Poolprasert; Orawan Duangphakdee; Atsalek Rattanawannee
    License

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

    Description

    Stingless beekeeping, also known as meliponiculture, has gained increasing popularity in many tropical and subtropical countries for its use in commercial pollination and high-value honey and propolis production. However, this rising interest in stingless beekeeping has led to significant geographical displacements of bee colonies by beekeepers, occasionally surpassing their native ranges. Consequently, this affects local bee populations by disrupting gene flow across unnaturally large geographic scales. For Heterotrigona itama, one of the most common stingless bee species in Southeast Asian countries, including Thailand, there is concern that large-scale artificial propagation by beekeepers utilizing a limited number of bee colonies will lead to inbreeding. This practice leads to increased inbreeding within managed populations and introgression into wild populations. These concerns highlight the need for careful management practices in stingless beekeeping to mitigate potential adverse effects. To assess the genetic structure of H. itama in Thailand, 70 colonies were sampled, and partially sequenced cytochrome c oxidase subunit 1 (COI) gene, large ribosomal subunit rRNA gene (16S rRNA), and 28S large ribosomal subunit rDNA gene (28S rRNA) were analyzed. Our results showed slightly lower nuclear genetic variability, but higher mitochondrial genetic variability, which can be attributed to gene flow, colony transport, and nest division. We suggest that increasing the number of colonies maintained through nest division does not negatively affect genetic variability, as it is maintained by small-scale male dispersal and human-mediated nest transport. However, caution should be exercised when transporting nests from distant localities, considering the high genetic differentiation observed between samples from Narathiwat and those from Krabi and Nakhon Si Thammarat provinces, which might indicate local adaptation.

  11. w

    Survey of Conflict Prevention and Cooperation 2004 - Kazakhstan

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Sep 26, 2013
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    The Brookings Institution (2013). Survey of Conflict Prevention and Cooperation 2004 - Kazakhstan [Dataset]. https://microdata.worldbank.org/index.php/catalog/2
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    Dataset updated
    Sep 26, 2013
    Dataset authored and provided by
    The Brookings Institution
    Time period covered
    2004
    Area covered
    Kazakhstan
    Description

    Abstract

    The project uses public opinion polling to gather and then analyze a sample that represents the entire population of each of four different countries of Central Asia: Kazakhstan, Kyrgyzstan, Tajikistan, and Uzbekistan.

    Geographic coverage

    The project uses public opinion polling to gather and then analyze a sample that represents the entire population of the country.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    For all four Central Asian countries in this survey, the sampling procedure is a three-stage stratified clustered one. Census data on the territorial dispersion of the population is used as the base to start the sampling methodology. The sampling procedure takes the total population of the country, considers geographic units within the country as either urban or rural, and then develops random procedures to select who to survey in three stages: first by randomly selected smaller geographic urban and units in each province (the primary sampling units or PSUs), second randomly chosing households within these units, and third, to randomly select which household member to interview in each household.

    The sampling frame used to divide these four countries into smaller geographic units to randomly sample from differs slightly for each Central Asian country, based on differences in data availability on the population of the country and its dispersion. Subsequent sections explain the sampling methodology used and how this sampling frame differs in each country. Then all four countries have PSUs, random selection of households, and random sampling of individuals within households using the same methods, which are discussed at length only in the first country example - Kazakhstan.

    Kazakhstan has 14 provinces plus the cities of Almaty and Astana which are considered separate units. All provinces are divided into districts, of which there are 198 in the country. Districts incorporate towns (with more than 100,000 inhabitants), small towns (with between 30,000 to 100,000 inhabitants) and villages (less than 30,000 inhabitants). A number of villages, in turn, are incorporated into rural districts (selskiy okrug). In total, Kazakhstan has cities of Almaty and Astana, 17 towns, 258 small towns, 2,140 rural districts, and 7,986 villages. The population of Kazakhstan wass 14,953,126 people, of which 8,377,303 (56%) lived in urban areas, and 6,575,823 (44%) lived in rural areas as of January 1, 2004.

    In Kazakhstan, since interviewers would not be allowed in electoral districts that use administrative restrictions to prohibit access of outsiders or that are unsafe for polling, 395 city electoral districts are excluded from the sampling frame. These 19.6% of the total number of electoral districts in the country are hospitals, prisons and military zones. The estimate of the population in excluded electoral districts is not available, because there is no resident population in these areas as defined in the census.

    The sampling frame for Kazakhstan was developed from a list of three types of small territorial units, which are the primary sampling units (PSUs) used in the survey. The three are: small settlements of less than 3,000 inhabitants for which each is a distinct PSU; parts of large settlements divided into populations between 2,500 and 5,000 for urban settlements and 1,500 to 3,000 for rural settlements each as a separate PSU; and electoral districts from large settlements each as separate PSU. Such a procedure is suboptimal, but needed when there is no information on a population in administrative-territorial units smaller sizes (such as there is by makhallas in Uzbekistan).

    Sampling is through three-stage stratified clustered sampling. First, PSUs are determined by province stratified by urban and rural population size. This primary probabiliby sampling (PPS-sampling) of PSUs selects a total of 61 PSUs represent the urban and rural population of Kazakhstan to generate 1,500 interviews. Second, sequential random sampling of households is done to select secondary sampling units (SSUs) in the selected PSUs. Third, a Kish grid is used to ensure random sampling of respondents within each household.

    To generate PSUs, each province is treated as a separate unit for sampling. For each province, sampling is proportionate to the share of the population of the country that it comprises, which in turn is divided into the share of the urban and rural population each province comprises of the entire country. This allocation is done for all 16 provinces. Based on their size relative to the entire urban and rural population of the country, the proportion of the sample that should be drawn from each urban and rural population of each province to represent the nation is determined. For example, Akmola has 748,930 residents, which is 5.0% of the population of Kazakhstan. Thus in a sample of 1,500 residents of the country, 5% or 75 people are drawn from Akmola. The share of urban and rural interviews is determined from the proportion of the country that the urban and rural population is for the rprovince. Provinces with larger urban and rural populations will have more people selected for interviews relative to those with smaller populations. Again, for Akmola, 349,153 people are urban residents, which is 46.6% of the province. This leads to sampling 35 of these city dwellers. 399,777 people are rural inhabitants, 53.4% of the population of the province, which leads to sampling 40 rural residents from Akmola.

    The number of PSUs to be sampled to achieve the needed quota for urban and rural residents in each province depends on a minimum number of interviews to be achieved per PSU, the costs of data collection, supervision, control and follow-up, as well as minimum effective number to conduct the survey in a PSU. The number of people surveyed varies in Kazakhstan in the 61 PSUs surveyed from a low of 8 to a high of 30 people. An approximately equal number of interviews are allocated respectively for each selected urban and rural PSU.

    Then the actual geographic units (PSUs) in each province to be polled are determined by a random process. A list of all urban and rural PSUs is composed for each province. The probability a PSU is selected for the survey depends on the size of either the urban or rural population within it. The PPS-sampling is carried out by sorted these units by size and randomly chosing which PSUs to survey over and over until the required number of urban and rural units is reached. To stick with the Akmola example, the quota of 35 urban residents can be reasonably reached by surveying 2 urban PSUs, and querying 18 people in one and 17 in another. For the quota of 40 rural respondents, again 2 PSUs are selected randomly and 20 respondents will be selected in each. Thus interviewers will visit 4 different randomly selected PSUs in the province to find these 35 urban and 40 rural Kazakhstanis.

    Sequential random sampling of households is done by supervisors and interviewers during the fieldwork through a special form with random numbers that is used to draw a sample of households. Ideally, when interviewers brief local authorities that they will be conducting a survey in the district, they obtain a list of households from the authorities. However, in many cases the lists of households were made by interviewers without participation of local authorities because the administration was either not willing to provide assistance or was located far away from the district.

    Sequential random sampling is done by random numbers associated with serial numbers of households in the list. Once a household has been selected, it cannot be selected again. Any household where the interview fails, from not finding the household or respondent refusal, is replaced with the next one randomly selected, according to the order of the random numbers. Selection is repeated until a required number of interviews is reached in each PSU.

    A kish grid is used to randomly sample respondents within households. To selecting a single adult in each selected household, 8 types of Kish grids each with different selection of respondents are combined together under strict proportions to ensure almost equal overall probability for any eligible household member to be chosen to participate in the survey. All household members eligible for the survey are sorted by gender, the primary sorting, and then by age, the secondary sorting. Each is assigned a serial number and a respondent is determined according to the type of Kish grid. Kish grids were assigned to each sample address randomly and in advance to avoid the tendency for interviewers' to interview a "convenient" rather than random household member.

    As the table below indicates, the achieved sample differs somewhat from the characteristics of the population found in the prior census. Surveys in Central Asia typically have these issues: an underrepresentation of men and youth, who are difficult to find due to their higher geographic mobility. Weighting is used to somewhat reduce these disproportions statistically.

    Mode of data collection

    Face-to-face [f2f]

    Response rate

    In fieldwork, 181 potential respondents refused to participate, and thus are non-respondents. The average response rate is thus 89% (1,500 of 1,681 cases). Non-response is registered if a completed interview is not achieved after three interviewer callbacks. High numbers of non-response were noted in Akmola, where the response rate was 65.8%; elsewhere response rates were always above 80%. Non-response was more common in urban than rural areas, with the response rate for urban respondents 86.1% compared to 93.7% for rural residents. Rural residents are more

  12. m

    Data from: Regional Disparities in the Level of Agri-Environmental...

    • data.mendeley.com
    Updated Apr 10, 2025
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    Mukesh Kumar (2025). Regional Disparities in the Level of Agri-Environmental Vulnerability in Asia: A Country-Level Analysis [Dataset]. http://doi.org/10.17632/8z79pcdnck.1
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    Dataset updated
    Apr 10, 2025
    Authors
    Mukesh Kumar
    License

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

    Area covered
    Asia
    Description

    This study examine the spatio-temporal differences in agri-environmental vulnerability among the 42 Asian countries by applying the principal component analysis method. Therefore, to calculate the composite index of agri-environmental vulnerability for the selected countries, the secondary data on seven agri-environmental indicators (related to pre-and post-agricultural production activities) were extracted from the FAOSTAT and World Bank databases for the year 2010 and 2020. The results from the analysis described that during both periods, countries with large GDP and population size like, 'China' and 'India' were highly vulnerable, while countries with small GDP and population size like, 'Bhutan' and 'Laos' were least vulnerable due to their organic farming and green economy policies. Lastly, findings from the binary logistic regression analysis also indicate that the high-GDP countries were growing at the cost of their environmental degradation, which should be controlled logically by population optimization and the fair adoption of organic farming practices for a sustainable future.

  13. Distribution of the global population by continent 2024

    • statista.com
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    Statista, Distribution of the global population by continent 2024 [Dataset]. https://www.statista.com/statistics/237584/distribution-of-the-world-population-by-continent/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    In the middle of 2023, about 60 percent of the global population was living in Asia.The total world population amounted to 8.1 billion people on the planet. In other words 4.7 billion people were living in Asia as of 2023. Global populationDue to medical advances, better living conditions and the increase of agricultural productivity, the world population increased rapidly over the past century, and is expected to continue to grow. After reaching eight billion in 2023, the global population is estimated to pass 10 billion by 2060. Africa expected to drive population increase Most of the future population increase is expected to happen in Africa. The countries with the highest population growth rate in 2024 were mostly African countries. While around 1.47 billion people live on the continent as of 2024, this is forecast to grow to 3.9 billion by 2100. This is underlined by the fact that most of the countries wit the highest population growth rate are found in Africa. The growing population, in combination with climate change, puts increasing pressure on the world's resources.

  14. f

    Descriptive characteristics of women (15–49 years), youngest children (0–59...

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Sumanta Neupane; Samuel Scott; Ellen Piwoz; Sunny S. Kim; Purnima Menon; Phuong Hong Nguyen (2023). Descriptive characteristics of women (15–49 years), youngest children (0–59 months) and households, by country in South Asia. [Dataset]. http://doi.org/10.1371/journal.pgph.0001991.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOS Global Public Health
    Authors
    Sumanta Neupane; Samuel Scott; Ellen Piwoz; Sunny S. Kim; Purnima Menon; Phuong Hong Nguyen
    License

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

    Area covered
    South Asia, Asia
    Description

    Descriptive characteristics of women (15–49 years), youngest children (0–59 months) and households, by country in South Asia.

  15. Burden of alcoholic pancreatitis by all countries (Male).

    • plos.figshare.com
    xlsx
    Updated Jul 29, 2025
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    Letai Li; Yaowen Zhang; Jiajie Leng; Siyu Li; Yang Lei; Zhenrui Cao; Yuxiang Luo; Haibing Xiong; Zhongjun Wu; Rui Tao; Yingjiu Jiang (2025). Burden of alcoholic pancreatitis by all countries (Male). [Dataset]. http://doi.org/10.1371/journal.pone.0327831.s001
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    xlsxAvailable download formats
    Dataset updated
    Jul 29, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Letai Li; Yaowen Zhang; Jiajie Leng; Siyu Li; Yang Lei; Zhenrui Cao; Yuxiang Luo; Haibing Xiong; Zhongjun Wu; Rui Tao; Yingjiu Jiang
    License

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

    Description

    Burden of alcoholic pancreatitis by all countries (Male).

  16. World Statistics dataset from World Bank

    • kaggle.com
    zip
    Updated Nov 22, 2020
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    Dr_statistics (2020). World Statistics dataset from World Bank [Dataset]. https://www.kaggle.com/datasets/mutindafestus/world-statistics-dataset-from-world-bank/code
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    zip(2862682 bytes)Available download formats
    Dataset updated
    Nov 22, 2020
    Authors
    Dr_statistics
    License

    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasetshttps://www.worldbank.org/en/about/legal/terms-of-use-for-datasets

    Area covered
    World
    Description

    Context

    There's a story behind every dataset and here's your opportunity to share yours.

    Content

    This Data consists of some world statistics published by the World Bank since 1961

    Variables:

    1) Agriculture and Rural development - 42 indicators published on this website. https://data.worldbank.org/topic/agriculture-and-rural-development

    2) Access to electricity (% of the population) - Access to electricity is the percentage of the population with access to electricity. Electrification data are collected from industry, national surveys, and international sources.

    3) CPIA gender equality rating (1=low to 6=high) - Gender equality assesses the extent to which the country has installed institutions and programs to enforce laws and policies that promote equal access for men and women in education, health, the economy, and protection under law.

    4) Mineral rents (% of GDP) - Mineral rents are the difference between the value of production for a stock of minerals at world prices and their total costs of production. Minerals included in the calculation are tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate.

    5) GDP per capita (current US$) - GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars.

    6) Literacy rate, adult total (% of people ages 15 and above)- Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.

    7) Net migration - Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.

    8) Birth rate, crude (per 1,000 people) - Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.

    9) Death rate, crude (per 1,000 people) - Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.

    10) Mortality rate, infant (per 1,000 live births) - Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.

    11) Population, total - Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.

    Acknowledgements

    These datasets are publicly available for anyone to use under the following terms provided by the Dataset Source https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets

    Banner photo by https://population.un.org/wpp/Maps/

    Inspiration

    Subsaharan Africa and east Asia record high population total, actually Subsaharan Africa population bypassed Europe and central Asia population by 2010, has this been influenced by crop and food production, large arable land, high crude birth rates(influx), low mortality rates(exits from the population) or Net migration.

  17. f

    Baseline characteristics for pregnant women according to COVID-19 variant...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Jongmin Oh; Whanhee Lee; Choong-jong Kim; Yi Jun Kim; Hyesook Park; Ji Hyen Lee; Mi Hye Park; Seulbi Lee; Eunhee Ha; Kyung A. Lee (2023). Baseline characteristics for pregnant women according to COVID-19 variant types before and after propensity score matching. [Dataset]. http://doi.org/10.1371/journal.pone.0284779.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jongmin Oh; Whanhee Lee; Choong-jong Kim; Yi Jun Kim; Hyesook Park; Ji Hyen Lee; Mi Hye Park; Seulbi Lee; Eunhee Ha; Kyung A. Lee
    License

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

    Description

    Baseline characteristics for pregnant women according to COVID-19 variant types before and after propensity score matching.

  18. S

    South-East Asia Civil Aviation Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated May 5, 2025
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    Market Report Analytics (2025). South-East Asia Civil Aviation Market Report [Dataset]. https://www.marketreportanalytics.com/reports/south-east-asia-civil-aviation-market-107327
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    pdf, doc, pptAvailable download formats
    Dataset updated
    May 5, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    South East Asia, Asia, Global
    Variables measured
    Market Size
    Description

    The South-East Asia civil aviation market is experiencing robust growth, projected to maintain a CAGR exceeding 7% from 2025 to 2033. This expansion is fueled by several key factors. Firstly, the region's burgeoning middle class is driving increased air travel demand for both leisure and business purposes. Secondly, significant investments in infrastructure development, including airport expansions and upgrades across major hubs like Singapore, Bangkok, Jakarta, Kuala Lumpur, and Manila, are enhancing capacity and connectivity. Furthermore, the rise of low-cost carriers (LCCs) continues to democratize air travel, making it accessible to a wider segment of the population. Finally, supportive government policies aimed at boosting tourism and economic development are creating a favorable environment for the civil aviation sector. The market is segmented by aircraft type (commercial passenger and freighter aircraft, general aviation encompassing business jets, helicopters, and smaller aircraft) and geography (Singapore, Thailand, Indonesia, Malaysia, Philippines, and the rest of Southeast Asia). While specific regional data is unavailable, it's reasonable to expect Indonesia and the Philippines to demonstrate particularly strong growth given their large populations and developing economies. Challenges include maintaining safety standards across the diverse range of operators, managing air traffic congestion in key areas, and mitigating the environmental impact of increased air travel. Competition is intense, with major players like Airbus, Boeing, Embraer, and Bombardier vying for market share alongside regional and smaller aircraft manufacturers. The market's future trajectory hinges on sustained economic growth in Southeast Asia, effective infrastructure management, and the ability of airlines and governments to address environmental concerns sustainably. The adoption of more fuel-efficient aircraft and the exploration of sustainable aviation fuels will be crucial in ensuring the long-term health and growth of the sector. Growth will be unevenly distributed geographically, with countries like Singapore likely to maintain a higher market share due to their established infrastructure and strong economic performance compared to other nations in the region showing faster growth due to increasing domestic travel demand and infrastructural improvements. This presents an opportunity for strategic investments in supporting infrastructure and services across the region. Recent developments include: December 2022: Island Aviation signed an agreement with De Havilland Aircraft of Canada to purchase two new DHC-6-400s. These aircraft will be utilized to operate flights between Pamalican and Manila and can comfortably accommodate up to 19 passengers. Additionally, the aircraft features flexible quick-change interior options, providing an added level of convenience and comfort for passengers., August 2022: Malaysia Aviation Group (MAG), the parent company of Malaysia Airlines, chose the A330neo as part of their widebody fleet renewal program. As per the initial agreements, MAG will acquire a total of 20 A330-900 aircraft, with 10 to be purchased from Airbus and the remaining 10 to be leased from Dublin-based Avolon. This strategic move will help the airline to upgrade its fleet and offer a better experience for its passengers.. Notable trends are: The Commercial Segment Will Showcase Highest Growth During the Forecast Period.

  19. Countries with the highest population growth rate 2024

    • statista.com
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    Statista, Countries with the highest population growth rate 2024 [Dataset]. https://www.statista.com/statistics/264687/countries-with-the-highest-population-growth-rate/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    This statistic shows the 20 countries with the highest population growth rate in 2024. In SouthSudan, the population grew by about 4.65 percent compared to the previous year, making it the country with the highest population growth rate in 2024. The global population Today, the global population amounts to around 7 billion people, i.e. the total number of living humans on Earth. More than half of the global population is living in Asia, while one quarter of the global population resides in Africa. High fertility rates in Africa and Asia, a decline in the mortality rates and an increase in the median age of the world population all contribute to the global population growth. Statistics show that the global population is subject to increase by almost 4 billion people by 2100. The global population growth is a direct result of people living longer because of better living conditions and a healthier nutrition. Three out of five of the most populous countries in the world are located in Asia. Ultimately the highest population growth rate is also found there, the country with the highest population growth rate is Syria. This could be due to a low infant mortality rate in Syria or the ever -expanding tourism sector.

  20. Number of internet and social media users worldwide 2025

    • abripper.com
    • statista.com
    Updated Jun 10, 2024
    + more versions
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    Christy Tila (2024). Number of internet and social media users worldwide 2025 [Dataset]. https://abripper.com/lander/abripper.com/index.php?_=%2Ftopics%2F5933%2Ffacebook-usage-in-the-nordics%2F%2341%2FknbtSbwP4AQxR5jTrc%2Fhf8cOrBy0%3D
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    Dataset updated
    Jun 10, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Christy Tila
    Description

    As of October 2025, 6.04 billion individuals worldwide were internet users, which amounted to 73.2 percent of the global population. Of this total, 5.66 billion, or 68.7 percent of the world's population, were social media users. Global internet usage Connecting billions of people worldwide, the internet is a core pillar of the modern information society. Northern Europe ranked first among worldwide regions by the share of the population using the internet in 2025. In the Netherlands, Norway, and Saudi Arabia, 99 percent of the population used the internet as of February 2025. North Korea was at the opposite end of the spectrum, with virtually no internet usage penetration among the general population, ranking last worldwide. Eastern Asia was home to the largest number of online users worldwide—over 1.34 billion at the latest count. Southern Asia ranked second, with around 1.2 billion internet users. China, India, and the United States rank ahead of other countries worldwide by the number of internet users. Worldwide internet user demographics As of 2024, the share of female internet users worldwide was 65 percent, five percent less than that of men. Gender disparity in internet usage was bigger in African countries, with around a 10-percent difference. Worldwide regions, like the Commonwealth of Independent States and Europe, showed a smaller usage gap between these two genders. As of 2024, global internet usage was higher among individuals between 15 and 24 years old across all regions, with young people in Europe representing the most significant usage penetration, 98 percent. In comparison, the worldwide average for the age group of 15 to 24 years was 79 percent. The income level of the countries was also an essential factor for internet access, as 93 percent of the population of the countries with high income reportedly used the internet, as opposed to only 27 percent of the low-income markets.

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TRADING ECONOMICS (2025). POPULATION by Country in ASIA [Dataset]. https://tradingeconomics.com/country-list/population?continent=asia

POPULATION by Country in ASIA

POPULATION by Country in ASIA (2025)

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6 scholarly articles cite this dataset (View in Google Scholar)
json, csv, excel, xmlAvailable download formats
Dataset updated
Oct 20, 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 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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