55 datasets found
  1. GDP ranking

    • datacatalog.worldbank.org
    • data.amerigeoss.org
    csv, excel, pdf
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    World Development Indicators, The World Bank, GDP ranking [Dataset]. https://datacatalog.worldbank.org/search/dataset/0038130
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    excel, csv, pdfAvailable download formats
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

    https://datacatalog.worldbank.org/public-licenses?fragment=cchttps://datacatalog.worldbank.org/public-licenses?fragment=cc

    Description

    Gross domestic product ranking table.

  2. Doing Business

    • datacatalog.worldbank.org
    api, databank, html +2
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    Doing Business, The World Bank Group (http://www.doingbusiness.org), Doing Business [Dataset]. https://datacatalog.worldbank.org/dataset/doing-business
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    html, databank, api, zip, utf-8Available download formats
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    World Bankhttp://worldbank.org/
    License

    https://datacatalog.worldbank.org/public-licenses?fragment=cchttps://datacatalog.worldbank.org/public-licenses?fragment=cc

    Description

    The Doing Business project provides objective measures of business regulations and their enforcement across 190 economies. Economies are ranked on their ease of doing business, from 1–190. The rankings are determined by sorting the aggregate scores (formerly called distance to frontier) on 10 topics, each consisting of several indicators, giving equal weight to each topic. More details: http://www.doingbusiness.org.

    NOTE: Doing Business has been discontinued as of 9/16/2021. Click here for more information.

  3. Largest banks worldwide 2023, by assets

    • statista.com
    Updated Jun 2, 2024
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    Statista (2024). Largest banks worldwide 2023, by assets [Dataset]. https://www.statista.com/statistics/269845/largest-banks-in-the-world-by-total-assets/
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    Dataset updated
    Jun 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    The largest bank in the world based on total assets in 2023 was the Industrial and Commercial Bank of China (ICBC). The bank's total assets reached approximately 6.3 trillion U.S. dollars that year. The following three largest banks that year were also Chinese: China Construction Bank, Agricultural Bank of China, and China Construction Bank. What are assets?An asset is an economic resource that can take a number of different forms. An asset is anything with economic value that an individual, organization or country can control in the expectation that it will provide future benefit. Tangible assets include anything that is physical and can include vehicles, precious metals, currencies and real estate. As far as banking is concerned, assets come from a broad range of areas. Bank assets consist of various kinds of loans and marketable securities, as well as base money reserves. Their assets are also tied up in physical properties such as buildings, equipment, and furniture. Largest bank by market capitalizationThe value of total assets is a common measure of a bank's prosperity, and is defined as all assets owned by the bank. Another common indicator is the bank's market capitalization, which is used to determine the size of the bank. The market capitalization is the market price of one share multiplied by the number of shares outstanding. Ranked by market capitalization instead of total assets, JPMorgan Chase was the largest bank in 2023, while ICBC ranked third.

  4. Commitments by the IDA 2019-2023, by sector

    • statista.com
    Updated Oct 16, 2024
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    Commitments by the IDA 2019-2023, by sector [Dataset]. https://www.statista.com/study/173727/world-bank/
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    Dataset updated
    Oct 16, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Einar H. Dyvik
    Description

    Over the past five years, commitments by the International Development Association (IDA) peaked in 2022 at nearly 38 billion U.S. dollars. Each year, public administration was the sector that received the highest sum. In Eastern and Southern Africa, for instance, public administration commitments comprised 18 percent of the total commitments from the International Bank for Reconstruction and Development (IBRD) and the IDA. The IBRD and the IDA are parts of the World Bank Group and provide loans to low- and middle-income countries.

  5. C

    Chile CL: Gini Coefficient (GINI Index): World Bank Estimate

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2009). Chile CL: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/chile/social-poverty-and-inequality/cl-gini-coefficient-gini-index-world-bank-estimate
    Explore at:
    Dataset updated
    Jan 15, 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, 1996 - Dec 1, 2022
    Area covered
    Chile
    Description

    Chile CL: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 43.000 % in 2022. This records a decrease from the previous number of 47.000 % for 2020. Chile CL: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 49.600 % from Dec 1987 (Median) to 2022, with 16 observations. The data reached an all-time high of 57.200 % in 1990 and a record low of 43.000 % in 2022. Chile CL: Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Poverty and Inequality. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

  6. w

    Global Financial Inclusion (Global Findex) Database 2021 - Nepal

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Dec 16, 2022
    + more versions
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    Development Research Group, Finance and Private Sector Development Unit (2022). Global Financial Inclusion (Global Findex) Database 2021 - Nepal [Dataset]. https://microdata.worldbank.org/index.php/catalog/4684
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    Dataset updated
    Dec 16, 2022
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2021
    Area covered
    Nepal
    Description

    Abstract

    The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

    The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

    The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

    Geographic coverage

    National coverage

    Analysis unit

    Individual

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

    In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

    In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

    The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

    For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

    Sample size for Nepal is 1000.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Questionnaires are available on the website.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

  7. w

    Global Financial Inclusion (Global Findex) Database 2021 - India

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Dec 16, 2022
    + more versions
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    Development Research Group, Finance and Private Sector Development Unit (2022). Global Financial Inclusion (Global Findex) Database 2021 - India [Dataset]. https://microdata.worldbank.org/index.php/catalog/4653
    Explore at:
    Dataset updated
    Dec 16, 2022
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2021
    Area covered
    India
    Description

    Abstract

    The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

    The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

    The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

    Geographic coverage

    Excluded populations living in Northeast states and remote islands and Jammu and Kashmir. The excluded areas represent less than 10 percent of the total population.

    Analysis unit

    Individual

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

    In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

    In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

    The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

    For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

    Sample size for India is 3000.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Questionnaires are available on the website.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

  8. T

    Iran GDP

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +17more
    csv, excel, json, xml
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    TRADING ECONOMICS, Iran GDP [Dataset]. https://tradingeconomics.com/iran/gdp
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    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
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    Iran
    Description

    The Gross Domestic Product (GDP) in Iran was worth 404.63 billion US dollars in 2023, according to official data from the World Bank. The GDP value of Iran represents 0.38 percent of the world economy. This dataset provides - Iran GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  9. G

    Government effectiveness by country, around the world | TheGlobalEconomy.com...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jun 14, 2016
    + more versions
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    Globalen LLC (2016). Government effectiveness by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/wb_government_effectiveness/
    Explore at:
    excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 14, 2016
    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, 1996 - Dec 31, 2023
    Area covered
    World
    Description

    The average for 2023 based on 193 countries was -0.04 points. The highest value was in Singapore: 2.32 points and the lowest value was in Yemen: -2.28 points. The indicator is available from 1996 to 2023. Below is a chart for all countries where data are available.

  10. T

    Vietnam GDP

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Dec 15, 2024
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    TRADING ECONOMICS (2024). Vietnam GDP [Dataset]. https://tradingeconomics.com/vietnam/gdp
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Dec 15, 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
    Dec 31, 1985 - Dec 31, 2023
    Area covered
    Vietnam
    Description

    The Gross Domestic Product (GDP) in Vietnam was worth 429.72 billion US dollars in 2023, according to official data from the World Bank. The GDP value of Vietnam represents 0.41 percent of the world economy. This dataset provides the latest reported value for - Vietnam GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  11. w

    Global Financial Inclusion (Global Findex) Database 2021 - Pakistan

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Dec 16, 2022
    + more versions
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    Development Research Group, Finance and Private Sector Development Unit (2022). Global Financial Inclusion (Global Findex) Database 2021 - Pakistan [Dataset]. https://microdata.worldbank.org/index.php/catalog/4691
    Explore at:
    Dataset updated
    Dec 16, 2022
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2021
    Area covered
    Pakistan
    Description

    Abstract

    The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

    The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

    The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

    Geographic coverage

    Did not include Azad Jammu and Kashmir (AJK) and Gilgit-Baltistan. The excluded area represents approximately 5 percent of the total population. Gender-matched sampling was used during the final stage of selection.

    Analysis unit

    Individual

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

    In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

    In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

    The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

    For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

    Sample size for Pakistan is 1002.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Questionnaires are available on the website.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

  12. Countries with the largest gross domestic product (GDP) 2024

    • statista.com
    • flwrdeptvarieties.store
    Updated Feb 12, 2025
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    Statista (2025). Countries with the largest gross domestic product (GDP) 2024 [Dataset]. https://www.statista.com/statistics/268173/countries-with-the-largest-gross-domestic-product-gdp/
    Explore at:
    Dataset updated
    Feb 12, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2024, the United States had the largest economy in the world, with a gross domestic product of just under 29 trillion U.S. dollars. China had the second largest economy, at around 18.5 trillion U.S. dollars. Recent adjustments in the list have seen Germany's economy overtake Japan's to become the third-largest in the world in 2023, while Brazil's economy moved ahead of Italy's in 2024. Global gross domestic product Global gross domestic product amounts to almost 110 trillion U.S. dollars, with the United States making up more than one-quarter of this figure alone. The 12 largest economies in the world include all Group of Seven (G7) economies, as well as the four largest BRICS economies. The U.S. has consistently had the world's largest economy since the interwar period, and while previous reports estimated it would be overtaken by China in the 2020s, more recent projections estimate the U.S. economy will remain the largest by a considerable margin going into the 2030s.The gross domestic product of a country is calculated by taking spending and trade into account, to show how much the country can produce in a certain amount of time, usually per year. It represents the value of all goods and services produced during that year. Those countries considered to have emerging or developing economies account for almost 60 percent of global gross domestic product, while advanced economies make up over 40 percent.

  13. w

    Global Financial Inclusion (Global Findex) Database 2021 - Brazil

    • microdata.worldbank.org
    • datacatalog.ihsn.org
    • +1more
    Updated Dec 16, 2022
    + more versions
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    Development Research Group, Finance and Private Sector Development Unit (2022). Global Financial Inclusion (Global Findex) Database 2021 - Brazil [Dataset]. https://microdata.worldbank.org/index.php/catalog/4620
    Explore at:
    Dataset updated
    Dec 16, 2022
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2021
    Area covered
    Brazil
    Description

    Abstract

    The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

    The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

    The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

    Geographic coverage

    National coverage

    Analysis unit

    Individual

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

    In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

    In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

    The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

    For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

    Sample size for Brazil is 1002.

    Mode of data collection

    Landline and mobile telephone

    Research instrument

    Questionnaires are available on the website.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

  14. T

    Turkey - Logistics Performance Index: Overall (1=low To 5=high)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 9, 2017
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    TRADING ECONOMICS (2017). Turkey - Logistics Performance Index: Overall (1=low To 5=high) [Dataset]. https://tradingeconomics.com/turkey/logistics-performance-index-overall-1-low-to-5-high-wb-data.html
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jun 9, 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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Turkey
    Description

    Logistics performance index: Overall (1=low to 5=high) in Turkey was reported at 3.4 1=low to 5=high in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Turkey - Logistics performance index: Overall (1=low to 5=high) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

  15. F

    GINI Index for the United States

    • fred.stlouisfed.org
    json
    Updated Sep 19, 2024
    + more versions
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    (2024). GINI Index for the United States [Dataset]. https://fred.stlouisfed.org/series/SIPOVGINIUSA
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    jsonAvailable download formats
    Dataset updated
    Sep 19, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for GINI Index for the United States (SIPOVGINIUSA) from 1963 to 2022 about gini, indexes, and USA.

  16. T

    Denmark - Logistics Performance Index: Overall (1=low To 5=high)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 6, 2017
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    TRADING ECONOMICS (2017). Denmark - Logistics Performance Index: Overall (1=low To 5=high) [Dataset]. https://tradingeconomics.com/denmark/logistics-performance-index-overall-1-low-to-5-high-wb-data.html
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 6, 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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Denmark
    Description

    Logistics performance index: Overall (1=low to 5=high) in Denmark was reported at 4.1 1=low to 5=high in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Denmark - Logistics performance index: Overall (1=low to 5=high) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

  17. T

    India GDP

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +17more
    csv, excel, json, xml
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    TRADING ECONOMICS, India GDP [Dataset]. https://tradingeconomics.com/india/gdp
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    json, xml, excel, csvAvailable download formats
    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
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    India
    Description

    The Gross Domestic Product (GDP) in India was worth 3567.55 billion US dollars in 2023, according to official data from the World Bank. The GDP value of India represents 3.38 percent of the world economy. This dataset provides the latest reported value for - India GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  18. Market capitalization of 100 largest banks worldwide 2016-2024

    • statista.com
    Updated Nov 5, 2024
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    Statista (2024). Market capitalization of 100 largest banks worldwide 2016-2024 [Dataset]. https://www.statista.com/statistics/265135/market-capitalization-of-the-banking-sector-worldwide/
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    Dataset updated
    Nov 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The global banking sector has seen significant growth in recent years, with the market capitalization of the 100 largest banks reaching 6.7 trillion euros in the third quarter of 2024. This marks the highest value observed since 2016, reflecting a strong recovery and expansion in the banking industry. The upward trend is particularly noteworthy given the fluctuations experienced in previous years, including the sharp decline during the early stages of the COVID-19 pandemic in 2020. Chinese banks dominate global rankings While market capitalization provides one measure of bank size, total assets offer another perspective. In 2023, Chinese banks occupied the top four positions globally based on total assets, with the Industrial and Commercial Bank of China (ICBC) leading at approximately 6.3 trillion U.S. dollars. However, when ranked by market capitalization, JPMorgan Chase took the top spot, with ICBC falling to third place. This highlights the different metrics used to assess bank size and influence in the global financial landscape. China's banking sector continues to expand The growth in market capitalization of the world's largest banks is mirrored by the expansion of China's banking sector. By 2023, the number of banking institutions in China had reached 4,561, showing relative stability in recent years after a period of increase. Additionally, the value of bank assets in China amounted to 47 trillion U.S. dollars in 2022, nearly tripling over the past decade. This rapid growth underscores China's increasing importance in the global banking industry and its potential influence on overall market capitalization trends.

  19. Ranking global banks according to losses in brand value 2021-2022

    • statista.com
    Updated Mar 28, 2023
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    Statista (2023). Ranking global banks according to losses in brand value 2021-2022 [Dataset]. https://www.statista.com/statistics/819051/largest-losses-in-brand-value-among-banks/
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    Dataset updated
    Mar 28, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2022
    Area covered
    Worldwide
    Description

    Bank of Jinzhou incurred in the largest loss in brand value among global banks from 2021 to 2022. The brand value of the Chinese bank decreased by 60 percent between 2021 and 2022.

  20. Largest banks globally 2024, by revenue from investment banking

    • statista.com
    Updated Mar 18, 2025
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    Statista (2025). Largest banks globally 2024, by revenue from investment banking [Dataset]. https://www.statista.com/statistics/371143/leading-global-investment-banks-by-revenue/
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    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2024, JPMorgan was the world's leading bank in terms of investment banking revenue, generating around 8.1 billion U.S. dollars from the start of the year until the end. In 2024, JPMorgan was also the largest bank in the United States by total assets, followed by Bank of America and City Group. Global investment banking is dominated by U.S. banks The top five investment banks globally were all American multinational firms. In 2024, the two leading investment banks by revenue were JPMorgan and Goldman Sachs. While JPMorgan outpaced Goldman Sachs, both banks reported revenues exceeding six billion U.S. dollars. BofA Securities and Morgan Stanley ranked third and fourth, with revenues of approximately 5.4 billion and 5.2 billion U.S. dollars, respectively. Together, these four banks held nearly a third of the global investment banking market share in terms of revenue in 2024. Investment banking fees Unsurprisingly, JPMorgan was also the leading bank in terms of investment banking fees. These fees represent the returns banks earn for offering investment services, such as facilitating mergers and acquisitions. In 2024, the largest value of investment banking fees came from services provided to the financial sector.

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World Development Indicators, The World Bank, GDP ranking [Dataset]. https://datacatalog.worldbank.org/search/dataset/0038130
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GDP ranking

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32 scholarly articles cite this dataset (View in Google Scholar)
excel, csv, pdfAvailable download formats
Dataset provided by
World Bankhttp://worldbank.org/
License

https://datacatalog.worldbank.org/public-licenses?fragment=cchttps://datacatalog.worldbank.org/public-licenses?fragment=cc

Description

Gross domestic product ranking table.

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