100+ datasets found
  1. w

    Dataset of land area of countries per year in Kenya (Historical)

    • workwithdata.com
    Updated Apr 9, 2025
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    Work With Data (2025). Dataset of land area of countries per year in Kenya (Historical) [Dataset]. https://www.workwithdata.com/datasets/countries-yearly?col=country%2Cdate%2Cland_area&f=1&fcol0=country&fop0=%3D&fval0=Kenya
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    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    Kenya
    Description

    This dataset is about countries per year in Kenya. It has 64 rows. It features 3 columns: country, and land area.

  2. w

    Dataset of urban land area of countries per year in Iraq (Historical)

    • workwithdata.com
    Updated Apr 9, 2025
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    Work With Data (2025). Dataset of urban land area of countries per year in Iraq (Historical) [Dataset]. https://www.workwithdata.com/datasets/countries-yearly?col=country%2Cdate%2Curban_land&f=1&fcol0=country&fop0=%3D&fval0=Iraq
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    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    Iraq
    Description

    This dataset is about countries per year in Iraq. It has 64 rows. It features 3 columns: country, and urban land area.

  3. w

    Dataset of rural land area of countries per year in Burkina Faso...

    • workwithdata.com
    Updated Apr 9, 2025
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    Work With Data (2025). Dataset of rural land area of countries per year in Burkina Faso (Historical) [Dataset]. https://www.workwithdata.com/datasets/countries-yearly?col=country%2Cdate%2Crural_land&f=1&fcol0=country&fop0=%3D&fval0=Burkina+Faso
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    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    Burkina Faso
    Description

    This dataset is about countries per year in Burkina Faso. It has 64 rows. It features 3 columns: country, and rural land area.

  4. All countries area Sq. Km

    • kaggle.com
    Updated Dec 20, 2023
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    Outliers.py (2023). All countries area Sq. Km [Dataset]. https://www.kaggle.com/datasets/nabinoli2004/all-countries-area-sq-km
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 20, 2023
    Dataset provided by
    Kaggle
    Authors
    Outliers.py
    Description

    Dataset

    This dataset was created by Nabin Oli

    Contents

  5. Amazon land area share 2022, by country

    • ai-chatbox.pro
    • statista.com
    Updated Jun 3, 2025
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    Statista Research Department (2025). Amazon land area share 2022, by country [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstudy%2F66835%2Famazon-rainforest-in-brazil%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Jun 3, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Amazon Rainforest
    Description

    The Amazon extends for approximately 8.4 million square kilometers, across nine South American countries. Nearly two thirds of its land area is located in Brazil. Peru and Bolivia follow, with around 11 and eight percent shares of the Amazon land area, respectively.

  6. Number of countries that joined China's BRI 2023, by region

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Number of countries that joined China's BRI 2023, by region [Dataset]. https://www.statista.com/statistics/1347393/china-number-of-bri-partner-countries-by-region/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    As of December 2023, according to official Chinese announcements, in total *** countries (including China) had signed documents to join China's Belt and Road Initiative (BRI), around ten countries more than in January 2021. The Belt and Road Initiative, also known as One Belt One Road, is an infrastructural development strategy initiated by China in 2013.

  7. a

    Global Cities

    • hub.arcgis.com
    Updated May 10, 2023
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    MapMaker (2023). Global Cities [Dataset]. https://hub.arcgis.com/maps/aa8135223a0e401bb46e11881d6df489
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    Dataset updated
    May 10, 2023
    Dataset authored and provided by
    MapMaker
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Description

    It is estimated that more than 8 billion people live on Earth and the population is likely to hit more than 9 billion by 2050. Approximately 55 percent of Earth’s human population currently live in areas classified as urban. That number is expected to grow by 2050 to 68 percent, according to the United Nations (UN).The largest cities in the world include Tōkyō, Japan; New Delhi, India; Shanghai, China; México City, Mexico; and São Paulo, Brazil. Each of these cities classifies as a megacity, a city with more than 10 million people. The UN estimates the world will have 43 megacities by 2030.Most cities' populations are growing as people move in for greater economic, educational, and healthcare opportunities. But not all cities are expanding. Those cities whose populations are declining may be experiencing declining fertility rates (the number of births is lower than the number of deaths), shrinking economies, emigration, or have experienced a natural disaster that resulted in fatalities or forced people to leave the region.This Global Cities map layer contains data published in 2018 by the Population Division of the United Nations Department of Economic and Social Affairs (UN DESA). It shows urban agglomerations. The UN DESA defines an urban agglomeration as a continuous area where population is classified at urban levels (by the country in which the city resides) regardless of what local government systems manage the area. Since not all places record data the same way, some populations may be calculated using the city population as defined by its boundary and the metropolitan area. If a reliable estimate for the urban agglomeration was unable to be determined, the population of the city or metropolitan area is used.Data Citation: United Nations Department of Economic and Social Affairs. World Urbanization Prospects: The 2018 Revision. Statistical Papers - United Nations (ser. A), Population and Vital Statistics Report, 2019, https://doi.org/10.18356/b9e995fe-en.

  8. w

    Dataset of continent and land area of countries per year in Bulgaria and in...

    • workwithdata.com
    Updated Apr 9, 2025
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    Work With Data (2025). Dataset of continent and land area of countries per year in Bulgaria and in 2021 (Historical) [Dataset]. https://www.workwithdata.com/datasets/countries-yearly?col=continent%2Ccountry%2Cdate%2Cland_area&f=2&fcol0=country&fcol1=date&fop0=%3D&fop1=%3D&fval0=Bulgaria&fval1=2021
    Explore at:
    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    Bulgaria
    Description

    This dataset is about countries per year in Bulgaria. It has 1 row and is filtered where the date is 2021. It features 4 columns: country, continent, and land area.

  9. F

    Production: Construction: Total for Euro Area (19 Countries)

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2023
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    (2023). Production: Construction: Total for Euro Area (19 Countries) [Dataset]. https://fred.stlouisfed.org/series/PRCNTO01EZA661N
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    jsonAvailable download formats
    Dataset updated
    Dec 12, 2023
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Production: Construction: Total for Euro Area (19 Countries) (PRCNTO01EZA661N) from 1985 to 2022 about Euro Area, Europe, IP, and construction.

  10. T

    WORLD by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 18, 2023
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    TRADING ECONOMICS (2023). WORLD by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/world-
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    Aug 18, 2023
    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
    World, World
    Description

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

  11. Portugal PT: Exports: fob: Countries or Area Not Specified

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). Portugal PT: Exports: fob: Countries or Area Not Specified [Dataset]. https://www.ceicdata.com/en/portugal/exports-fob-by-country-annual/pt-exports-fob-countries-or-area-not-specified
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Portugal
    Variables measured
    Merchandise Trade
    Description

    Portugal PT: Exports: fob: Countries or Area Not Specified data was reported at 28.689 USD mn in 2017. This records a decrease from the previous number of 30.414 USD mn for 2016. Portugal PT: Exports: fob: Countries or Area Not Specified data is updated yearly, averaging 81.614 USD mn from Dec 1969 (Median) to 2017, with 38 observations. The data reached an all-time high of 594.780 USD mn in 1997 and a record low of 0.000 USD mn in 1998. Portugal PT: Exports: fob: Countries or Area Not Specified data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Portugal – Table PT.IMF.DOT: Exports: fob: by Country: Annual.

  12. F

    Employment Rate: Aged 25-54: Females for the Euro Area (19 Countries)

    • fred.stlouisfed.org
    json
    Updated Apr 20, 2023
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    (2023). Employment Rate: Aged 25-54: Females for the Euro Area (19 Countries) [Dataset]. https://fred.stlouisfed.org/series/LREM25FEEZQ156S
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    jsonAvailable download formats
    Dataset updated
    Apr 20, 2023
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Employment Rate: Aged 25-54: Females for the Euro Area (19 Countries) (LREM25FEEZQ156S) from Q1 2005 to Q4 2022 about 25 to 54 years, employment-population ratio, females, Euro Area, Europe, employment, population, and rate.

  13. w

    World Bank Country Survey 2013 - Sierra Leone

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Mar 14, 2014
    + more versions
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    Public Opinion Research Group (2014). World Bank Country Survey 2013 - Sierra Leone [Dataset]. https://microdata.worldbank.org/index.php/catalog/1884
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    Dataset updated
    Mar 14, 2014
    Dataset authored and provided by
    Public Opinion Research Group
    Time period covered
    2013
    Area covered
    Sierra Leone
    Description

    Abstract

    The World Bank is interested in gauging the views of clients and partners who are either involved in development in Sierra Leone or who observe activities related to social and economic development. The World Bank Country Assessment Survey is meant to give the World Bank's team that works in Sierra Leone, greater insight into how the Bank's work is perceived. This is one tool the World Bank uses to assess the views of its critical stakeholders. With this understanding, the World Bank hopes to develop more effective strategies, outreach and programs that support development in Sierra Leone. The World Bank commissioned an independent firm to oversee the logistics of this effort in Sierra Leone.

    The survey was designed to achieve the following objectives: - Assist the World Bank in gaining a better understanding of how stakeholders in Sierra Leone perceive the Bank; - Obtain systematic feedback from stakeholders in Sierra Leone regarding: · Their views regarding the general environment in Sierra Leone; · Their overall attitudes toward the World Bank in Sierra Leone; · Overall impressions of the World Bank's effectiveness and results, knowledge work and activities, and communication and information sharing in Sierra Leone; · Perceptions of the World Bank's future role in Sierra Leone. - Use data to help inform Sierra Leone team's strategy.

    Geographic coverage

    National

    Analysis unit

    Stakeholder

    Universe

    Stakeholders of the World Bank in Sierra Leone

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    In March-April 2013, 600 stakeholders of the World Bank in Sierra Leone were invited to provide their opinions on the Bank's assistance to the country by participating in a country survey. Participants in the survey were drawn from among the office of the President; the office of the Prime Minister; the office of a Minister; the office of a Parliamentarian; employees of a ministry, ministerial department, or implementation agency; consultants/ contractors working on World Bank-supported projects/programs; project management units (PMUs) overseeing implementation of a project; local government officials or staff; bilateral and multilateral agencies; private sector organizations; private foundations; the financial sector/private banks; NGOs; community-based organizations; the media; independent government institutions; trade unions; faith-based groups; academia/research institutes/think tanks; judiciary branches; and other organizations.

    Mode of data collection

    Mail Questionnaire [mail]

    Research instrument

    The Questionnaire consists of 8 Sections:

    A. General Issues Facing Sierra Leone: Respondents were asked to indicate whether Sierra Leone is headed in the right direction, what they thought were the top three most important development priorities in the country, and which areas would contribute most to reducing poverty and generating economic growth in Sierra Leone.

    B. Overall Attitudes toward the World Bank: Respondents were asked to rate their familiarity with the World Bank, the Bank's effectiveness in Sierra Leone, Bank staff preparedness to help Sierra Leone solve its development challenges, their agreement with various statements regarding the Bank's work, and the extent to which the Bank is an effective development partner. Respondents were asked to indicate the sectoral areas on which it would be most productive for the Bank to focus its resources, the Bank's greatest values and weaknesses in its work, the most effective instruments in helping to reduce poverty in Sierra Leone, with which stakeholder groups the Bank should collaborate more, and to what reasons respondents attributed failed or slow reform efforts.

    C. World Bank Effectiveness and Results: Respondents were asked to rate the extent to which the Bank's work helps achieve development results in Sierra Leone, the extent to which the Bank meets Sierra Leone's needs for knowledge services and financial instruments, and the Bank's level of effectiveness across forty-two development areas, such as education, energy, agricultural development, job creation/employment, infrastructure, and others.

    D. The World Bank's Knowledge: Respondents were asked to indicate how frequently they consult Bank knowledge work/activities, the areas on which the Bank should focus its research efforts, and to rate the effectiveness and quality of the Bank's knowledge work/activities, including how significant of a contribution it makes to development results and its technical quality.

    E. Working with the World Bank: Respondents were asked to rate their level of agreement with a series of statements regarding working with the Bank, such as the World Bank's "Safeguard Policy" requirements being reasonable, the Bank imposing reasonable conditions on its lending, disbursing funds promptly, increasing Sierra Leone's institutional capacity, and providing effective implementation support. Respondents also were asked that to what extent they believed the Bank was adequately staffed in Sierra Leone.

    F. The Future Role of the World Bank in Sierra Leone: Respondents were asked to rate how significant a role the Bank should play in Sierra Leone's development in the near future and to indicate what the Bank should do to make itself of greater value. They were also asked about the effectiveness of the donors in their work to see through development results on the ground and the effectiveness of the Bank in helping forge regional economic integration.

    G. Communication and Information Sharing: Respondents were asked to indicate how they get information about economic and social development issues, how they prefer to receive information from the Bank, and their usage and evaluation of the Bank's websites. Respondents were asked about their awareness of the Bank's Access to Information policy, past information requests from the Bank, and their level of agreement that they use more data from the World Bank as a result of the Bank's Open Data policy. Respondents were also asked about their level of agreement that they know how to find information from the Bank and that the Bank is responsive to information requests.

    H. Background Information: Respondents were asked to indicate their current position, specialization, whether they professionally collaborate with the World Bank, their exposure to the Bank in Sierra Leone, and their geographic location.

    Response rate

    A total of 340 stakeholders participated in the survey (57% response rate).

  14. Country Population Estimates, 2015, from United Nations

    • hub.arcgis.com
    • morocco.africageoportal.com
    • +1more
    Updated Jun 3, 2017
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    Urban Observatory by Esri (2017). Country Population Estimates, 2015, from United Nations [Dataset]. https://hub.arcgis.com/maps/3b73e30bee2548db805739b8e69695cf
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    Dataset updated
    Jun 3, 2017
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    United Nations,
    Description

    This map contains estimates for total population by country from 1950 to 2015. Symbology changes slightly when zoomed in to individual continents (1:50,000,000). Source: United Nations Population Division, Department of Economic and Social Affairs, World Population Prospects: The 2015 Revision, File POP/1-1.Estimates are in thousands. Other fields in the Country Population Estimates layer include: Major Region (e.g. Africa), Minor Region (e.g. Eastern Africa), and UN Documentation Notes. The UN Documentation Notes field corresponds to the following notes:(1) Including Agalega, Rodrigues and Saint Brandon.(2) Including Zanzibar.(3) Including Ascension and Tristan da Cunha.(4) For statistical purposes, the data for China do not include Hong Kong and Macao, Special Administrative Regions (SAR) of China, and Taiwan Province of China.(5) As of 1 July 1997, Hong Kong became a Special Administrative Region (SAR) of China.(6) As of 20 December 1999, Macao became a Special Administrative Region (SAR) of China.(7) The regions Southern Asia and Central Asia are combined into South-Central Asia.(8) Including Sabah and Sarawak.(9) Including Nagorno-Karabakh.(10) Refers to the whole country(11) Including Abkhazia and South Ossetia.(12) Including East Jerusalem.(13) Including Transnistria.(14) Including Crimea(15) Refers to Guernsey, and Jersey.(16) Including Åland Islands.(17) Including Svalbard and Jan Mayen Islands.(18) Refers to the Vatican City State.(19) Including Kosovo.(20) Including Canary Islands, Ceuta and Melilla.(21) The former Yugoslav Republic of Macedonia.(22) Refers to Bonaire, Saba and Sint Eustatius.(23) Including Saint-Barthélemy and Saint-Martin (French part).(24) Including Christmas Island, Cocos (Keeling) Islands and Norfolk Island.(25) Including Pitcairn.

  15. F

    Currency Conversions: US Dollar Exchange Rate: Average of Daily Rates:...

    • fred.stlouisfed.org
    json
    Updated Jan 12, 2024
    + more versions
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    (2024). Currency Conversions: US Dollar Exchange Rate: Average of Daily Rates: National Currency: USD for Euro Area (19 Countries) [Dataset]. https://fred.stlouisfed.org/series/CCUSMA02EZA661N
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    jsonAvailable download formats
    Dataset updated
    Jan 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Currency Conversions: US Dollar Exchange Rate: Average of Daily Rates: National Currency: USD for Euro Area (19 Countries) (CCUSMA02EZA661N) from 1990 to 2023 about Euro Area, Europe, exchange rate, currency, and rate.

  16. F

    Inactive Population: Aged 25-54: Males for the Euro Area (19 Countries)

    • fred.stlouisfed.org
    json
    Updated Apr 20, 2023
    + more versions
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    (2023). Inactive Population: Aged 25-54: Males for the Euro Area (19 Countries) [Dataset]. https://fred.stlouisfed.org/series/LFIN25MAEZA647S
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 20, 2023
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Inactive Population: Aged 25-54: Males for the Euro Area (19 Countries) (LFIN25MAEZA647S) from 2005 to 2022 about 25 to 54 years, males, Euro Area, Europe, labor force, and labor.

  17. A

    Global International Boundaries - Standard UNGIS

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    png, wfs, wms
    Updated Aug 7, 2019
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    World Food Program (2019). Global International Boundaries - Standard UNGIS [Dataset]. https://data.amerigeoss.org/hr/dataset/global-international-boundaries-standard-ungis
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    wms, wfs, pngAvailable download formats
    Dataset updated
    Aug 7, 2019
    Dataset provided by
    World Food Program
    Description

    Worldwide geospatial database consisting of country and geographic name information on a global scale. The data is designed for the production of cartographic documents and maps, including their dissemination via public electronic networks, for the Secretariat of the United Nations, as set forth in the Administrative Instruction of the Secretary-General of the United Nations concerning. Source: UNmap The designations employed and the presentation of material on this map do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Dotted line represents approximately the Line of Control in Jammu and Kashmir agreed upon by India and Pakistan. The final status of Jammu and Kashmir has not yet been agreed upon by the parties. Final boundary between the Republic of Sudan and the Republic of South Sudan has not yet been determined. Final status of the Abyei area is not yet determined. A dispute exists between the Governments of Argentina and the United Kingdom of Great Britain and Northern Ireland concerning sovereignty over the Falkland Islands (Malvinas).

  18. w

    Distribution of land area per country in Oceania and in 2021

    • workwithdata.com
    Updated Apr 9, 2025
    + more versions
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    Work With Data (2025). Distribution of land area per country in Oceania and in 2021 [Dataset]. https://www.workwithdata.com/charts/countries-yearly?agg=sum&chart=bar&f=2&fcol0=continent&fcol1=date&fop0=%3D&fop1=%3D&fval0=Oceania&fval1=2021&x=country&y=land_area
    Explore at:
    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This bar chart displays land area (km²) by country using the aggregation sum in Oceania. The data is filtered where the date is 2021. The data is about countries per year.

  19. F

    Harmonised Unemployment - Monthly Rates: Aged 15-24: Females for the Euro...

    • fred.stlouisfed.org
    json
    Updated Mar 15, 2023
    + more versions
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    (2023). Harmonised Unemployment - Monthly Rates: Aged 15-24: Females for the Euro Area (19 Countries) [Dataset]. https://fred.stlouisfed.org/series/LRHU24FEEZA156S
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 15, 2023
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Harmonised Unemployment - Monthly Rates: Aged 15-24: Females for the Euro Area (19 Countries) (LRHU24FEEZA156S) from 1995 to 2022 about 15 to 24 years, females, harmonized, Euro Area, Europe, unemployment, and rate.

  20. P

    Palau PW: Marine Protected Areas: % of Total Surface Area

    • dr.ceicdata.com
    • ceicdata.com
    Updated Jun 6, 2025
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    CEICdata.com (2025). Palau PW: Marine Protected Areas: % of Total Surface Area [Dataset]. https://www.dr.ceicdata.com/en/palau/land-use-protected-areas-and-national-wealth/pw-marine-protected-areas--of-total-surface-area
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    Dataset updated
    Jun 6, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 1990 - Dec 1, 2016
    Area covered
    Palau
    Description

    Palau PW: Marine Protected Areas: % of Total Surface Area data was reported at 82.985 % in 2016. This records an increase from the previous number of 31.400 % for 2014. Palau PW: Marine Protected Areas: % of Total Surface Area data is updated yearly, averaging 25.700 % from Dec 1990 (Median) to 2016, with 4 observations. The data reached an all-time high of 82.985 % in 2016 and a record low of 0.500 % in 1990. Palau PW: Marine Protected Areas: % of Total Surface Area data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Palau – Table PW.World Bank: Land Use, Protected Areas and National Wealth. Marine protected areas are areas of intertidal or subtidal terrain--and overlying water and associated flora and fauna and historical and cultural features--that have been reserved by law or other effective means to protect part or all of the enclosed environment.; ; United Nations Environmental Program and the World Conservation Monitoring Centre, as compiled by the World Resources Institute, based on data from national authorities, national legislation and international agreements.; Weighted average;

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Work With Data (2025). Dataset of land area of countries per year in Kenya (Historical) [Dataset]. https://www.workwithdata.com/datasets/countries-yearly?col=country%2Cdate%2Cland_area&f=1&fcol0=country&fop0=%3D&fval0=Kenya

Dataset of land area of countries per year in Kenya (Historical)

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Dataset updated
Apr 9, 2025
Dataset authored and provided by
Work With Data
License

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

Area covered
Kenya
Description

This dataset is about countries per year in Kenya. It has 64 rows. It features 3 columns: country, and land area.

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