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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.
As of June 2024, 71 percent of countries worldwide had data privacy legislation in place. Furthermore, nine percent had the legislation drafted. Overall, 15 percent of markets worldwide had no data privacy legislation yet, and five percent have not provided any data on such laws.
Databank (databank.worldbank.org) is an online web resource that provides simple and quick access to collections of time series data. It has advanced functions for selecting and displaying data, performing customized queries, downloading data, and creating charts and maps. Users can create dynamic custom reports based on their selection of countries, indicators and years. They offer a growing range of free, easy-to-access tools, research and knowledge to help people address the world's development challenges. For example, the Open Data website offers free access to comprehensive, downloadable indicators about development in countries around the globe.
In 2023, 62 percent of surveyed internet users worldwide expressed concerns regarding organizational use of AI. A further 60 percent said they had already lost trust in companies because of their use of AI. However, some 48 percent of the survey respondents said AI can positively impact and help improve our lives. Furthermore, 54 percent said they would share anonymized personal data to improve AI products.
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Collection of over 60 comprehensive international databases on the structure of the global economy, and standardized metadata for each, covering both technical characteristics of the data and detailed access information. Areas represented in the collection include output and value added by industrial sector, labor force, social and demographic data, productivity, and measures of economic endowments.
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Norway NO: Cause of Death: by Injury: % of Total data was reported at 5.600 % in 2016. This records an increase from the previous number of 5.400 % for 2015. Norway NO: Cause of Death: by Injury: % of Total data is updated yearly, averaging 5.400 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 5.600 % in 2016 and a record low of 5.400 % in 2015. Norway NO: Cause of Death: by Injury: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Norway – Table NO.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
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Worldwide Bureaucracy Indicators (WWBI) dataset from the World Bank.
The Worldwide Bureaucracy Indicators (WWBI) database is a unique cross-national dataset on public sector employment and wages that aims to fill an information gap, thereby helping researchers, development practitioners, and policymakers gain a better understanding of the personnel dimensions of state capability, the footprint of the public sector within the overall labor market, and the fiscal implications of the public sector wage bill. The dataset is derived from administrative data and household surveys, thereby complementing existing, expert perception-based approaches.
The World Bank introduced the dataset with a series of four blogs:
Can you replicate the figures in the blogs? Can you display any of the data more clearly than in the blogs?
wwbi_data.csv
variable | class | description |
---|---|---|
country_code | character | 3-letter ISO_3166-1 code |
indicator_code | character | code identifying the indicator of bureaucracy |
year | numeric | year of the data |
value | numeric | numeric value of the data |
wwbi_series.csv
variable | class | description |
---|---|---|
indicator_code | character | code identifying the indicator of bureaucracy |
indicator_name | character | name of the indicator |
wwbi_country.csv
variable | class | description |
---|---|---|
country_code | character | 3-letter ISO_3166-1 code |
short_name | character | short or common name for the country |
table_name | character | more alphabetically sortable name of the country |
long_name | character | full name of the country |
x2_alpha_code | character | 2-letter ISO_3166-1 code |
currency_unit | character | currency unit |
special_notes | character | special notes |
region | character | region |
income_group | character | low, lower middle, upper middle, or high income |
wb_2_code | character | alternate 2-letter code |
national_accounts_base_year | integer | national accounts base year |
national_accounts_reference_year | integer | national accounts reference year |
sna_price_valuation | character | UN system of national accounts price valuation |
lending_category | character | International Development Association (IDA), Interanational Bank of Reconstruction and Development (IBRD), a blend or neither |
other_groups | character | Heavily Indebted Poor Countries initiative (HIPC), or countries classified as the "Euro area" |
system_of_national_accounts | integer | which System of National Accounts methodology the country uses (1968, 1993, or 2008 version) |
balance_of_payments_manual_in_use | character | the version of the Balance of Payments Manual used by the country |
external_debt_reporting_status | character | estimate, preliminary, or actual |
system_of_trade | character | Under the general system imports include goods imported for domestic consumption and imports into bonded warehouses and free trade zones. Under the special system imports comprise goods imported for domestic consumption (including transformation and repair) and withdrawals for domestic consumption from bonded warehouses and free trade zones. Goods transported through a country en route to another are excluded. |
government_accounting_concept | character | government accounting concept |
imf_data_dissemination_standard | character | International Monetary Fund data-dissemination standard: Special Data Dissemination Standard (SDDS, 1996, created for countries |
that have or seek to have access to international markets), SDDS Plus (2012, the highest tier of data standards, intended for systemically important economies), enhanced GDDS (e-GDDS, 2015, encouraging participants to emphasize data publication) | ||
latest_household_survey | character | which household survey was most recently administered |
source_of_most_recent_income_and_expenditure_data | character | which survey serves as the basis for income and expenditure data |
vital_registration_complete | logical | whether the vital registration is complete |
latest_agricultural_census | integer | year of latest agricultural census |
latest_industrial_data | integer | year of latest industrial data |
latest_trade_data | in... |
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All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name
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Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Gender equality is a core development objective in its own right. It is also smart development policy and sound business practice. It is integral to economic growth, business growth and good development outcomes. Gender equality can boost productivity, enhance prospects for the next generation, build resilience, and make institutions more representative and effective. In December 2015, the World Bank Group Board discussed our new Gender Equality Strategy 2016-2023, which aims to address persistent gaps and proposed a sharpened focus on more and better gender data. The Bank Group is continually scaling up commitments and expanding partnerships to fill significant gaps in gender data. The database hosts the latest sex-disaggregated data and gender statistics covering demography, education, health, access to economic opportunities, public life and decision-making, and agency.
https://datacatalog1.worldbank.org/public-licenses?fragment=cchttps://datacatalog1.worldbank.org/public-licenses?fragment=cc
National statistical systems are facing significant challenges. These challenges arise from increasing demands for high quality and trustworthy data to guide decision making, coupled with the rapidly changing landscape of the data revolution. To help create a mechanism for learning amongst national statistical systems, the World Bank has developed improved Statistical Performance Indicators (SPI) to monitor the statistical performance of countries. The SPI focuses on five key dimensions of a country’s statistical performance: (i) data use, (ii) data services, (iii) data products, (iv) data sources, and (v) data infrastructure. This will replace the Statistical Capacity Index (SCI) that the World Bank has regularly published since 2004.
The SPI focus on five key pillars of a country’s statistical performance: (i) data use, (ii) data services, (iii) data products, (iv) data sources, and (v) data infrastructure. The SPI are composed of more than 50 indicators and contain data for 186 countries. This set of countries covers 99 percent of the world population. The data extend from 2016-2023, with some indicators going back to 2004.
For more information, consult the academic article published in the journal Scientific Data. https://www.nature.com/articles/s41597-023-01971-0.
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Laos LA: Domestic General Government Health Expenditure: % of GDP data was reported at 0.988 % in 2015. This records an increase from the previous number of 0.765 % for 2014. Laos LA: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 0.843 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 1.539 % in 2001 and a record low of 0.408 % in 2011. Laos LA: Domestic General Government Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of the economy as measured by GDP.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
In 2023, Russia ranked first in the world by data breach density. The number of breached e-mail accounts per thousand people in the country amounted to 542. The United States ranked second, with 285 user accounts, while Czechia followed, with 207 accounts. The data breach density in Denmark, Switzerland, and Italy was relatively lower.
http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1dhttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1d
The British Geological Survey has one of the largest databases in the world on the production and trade of minerals. The dataset contains annual production statistics by mass for more than 70 mineral commodities covering the majority of economically important and internationally-traded minerals, metals and mineral-based materials. For each commodity the annual production statistics are recorded for individual countries, grouped by continent. Import and export statistics are also available for years up to 2002. Maintenance of the database is funded by the Science Budget and output is used by government, private industry and others in support of policy, economic analysis and commercial strategy. As far as possible the production data are compiled from primary, official sources. Quality assurance is maintained by participation in such groups as the International Consultative Group on Non-ferrous Metal Statistics. Individual commodity and country tables are available for sale on request.
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El Salvador SV: Completeness of Death Registration with Cause-of-Death Information data was reported at 78.000 % in 2011. This records an increase from the previous number of 77.100 % for 2008. El Salvador SV: Completeness of Death Registration with Cause-of-Death Information data is updated yearly, averaging 72.300 % from Dec 1992 (Median) to 2011, with 5 observations. The data reached an all-time high of 78.000 % in 2011 and a record low of 60.800 % in 1992. El Salvador SV: Completeness of Death Registration with Cause-of-Death Information data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s El Salvador – Table SV.World Bank.WDI: Population and Urbanization Statistics. Completeness of death registration is the estimated percentage of deaths that are registered with their cause of death information in the vital registration system of a country.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;
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Graph and download economic data for Population, Total for Upper Middle Income Countries (SPPOPTOTLUMC) from 1960 to 2023 about income and population.
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Turkey Contribution to World Trade Volume: Goods and Services: expressed in USD data was reported at 0.011 % in Dec 2026. This records an increase from the previous number of 0.011 % for Sep 2026. Turkey Contribution to World Trade Volume: Goods and Services: expressed in USD data is updated quarterly, averaging 0.011 % from Jun 1982 (Median) to Dec 2026, with 179 observations. The data reached an all-time high of 0.291 % in Sep 2020 and a record low of -0.288 % in Jun 2020. Turkey Contribution to World Trade Volume: Goods and Services: expressed in USD data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Turkey – Table TR.OECD.EO: Trade Statistics: Share in World Trade and Performance Indicators: Forecast: OECD Member: Quarterly. None
Contains data from World Health Organization's data portal covering various indicators (one per resource).
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Saint Vincent and the Grenadines VC: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 6.000 Ratio in 2019. This stayed constant from the previous number of 6.000 Ratio for 2018. Saint Vincent and the Grenadines VC: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 3.700 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 6.000 Ratio in 2019 and a record low of 3.300 Ratio in 2005. Saint Vincent and the Grenadines VC: Probability of Dying at Age 15-19 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Saint Vincent and the Grenadines – Table VC.World Bank.WDI: Health Statistics. Probability of dying between age 15-19 years of age expressed per 1,000 adolescents age 15, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
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Developed by SOLARGIS and provided by the Global Solar Atlas (GSA), this data resource contains terrain elevation above sea level (ELE) in [m a.s.l.] covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m), PVOUT and TEMP 30 arcsec (nominally 1 km) and OPTA 2 arcmin (nominally 4 km).
The data is hyperlinked under 'resources' with the following characeristics:
ELE - GISdata (GeoTIFF)
Data format: GEOTIFF
File size : 826.8 MB
There are two temporal representation of solar resource and PVOUT data available:
• Longterm yearly/monthly average of daily totals (LTAym_AvgDailyTotals)
• Longterm average of yearly/monthly totals (LTAym_YearlyMonthlyTotals)
Both type of data are equivalent, you can select the summarization of your preference. The relation between datasets is described by simple equations:
• LTAy_YearlyTotals = LTAy_DailyTotals * 365.25
• LTAy_MonthlyTotals = LTAy_DailyTotals * Number_of_Days_In_The_Month
*For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest)
*For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world.
For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).
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Germany DE: Educational Attainment: At Least Completed Primary: Population 25+ Years: Total: % Cumulative data was reported at 98.997 % in 2022. This records a decrease from the previous number of 99.002 % for 2021. Germany DE: Educational Attainment: At Least Completed Primary: Population 25+ Years: Total: % Cumulative data is updated yearly, averaging 100.000 % from Dec 2004 (Median) to 2022, with 19 observations. The data reached an all-time high of 100.000 % in 2020 and a record low of 98.997 % in 2022. Germany DE: Educational Attainment: At Least Completed Primary: Population 25+ Years: Total: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Social: Education Statistics. The percentage of population ages 25 and over that attained or completed primary education.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 24, 2024. https://apiportal.uis.unesco.org/bdds.;;
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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.