American Samoa

The Agri-environmental Indicators—Land domain provides information on the annual evolution of the distribution of agricultural and forest areas, and their sub-components, including irrigated areas, at national, regional and global levels.

Air Data reports are produced from a direct query of the AQS Data Mart. The data represent the best and most recent information available to EPA from state agencies. However, some values may be absent due to incomplete reporting, and some values may change due to quality assurance activities. The AQS database is updated by state, local, and tribal organizations who own and submit the data. Readers are cautioned not to rank order geographic areas based on Air Data reports. Air pollution levels measured at a particular monitoring site are not necessarily representative of the air quality for an entire county or urban area. This report is based on monitor-level summary statistics. Air quality standards for some pollutants (PM2.5 and Pb) allow for combining data from multiple monitors into a site-level summary statistic that can be compared to the standard. In those cases, the site-level statistics may differ from the monitor-level statistics upon which this report is based.

CITE SOURCE OF DATA AS: Kantar/CMAG with analysis by the Wesleyan Media Project. Note: Numbers include ads aired on broadcast television and national cable between September 5 and 27, 2020.  

General aviation operations are defined by the FAA based Source: FAA Operations Network (OPSNET) on the traffic operations counted in the OPSNET. Air Traffic Control data shows federal, non-federal, and military through 2005, while 2006 through 2011 are FAA and contract.    TRANSLATE with xEnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian  TRANSLATE with COPY THE URL BELOW BackEMBED THE SNIPPET BELOW IN YOUR SITEEnable collaborative features and customize widget: Bing Webmaster PortalBack

Average commute time per commuter Source:American Community Survey 1-Year Estimates Source Table: S0801

Note: ACS 1-Year Estimates 

Means of Transportation To Work by Age Universe: Workers 16 Years and Over More Information 2005 American Community Survey

American Community Survey 1-Year Estimates Table S2802 - TYPES OF INTERNET SUBSCRIPTIONS BY SELECTED CHARACTERISTICS

The American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties

Appendix E – Americans Without Access to Fixed Advanced Telecommunications Capability by County

Data cited at: CNBC Around 50 states have been assigned score on more than 60 measures of competitiveness which are  developed with input from a broad and diverse array of business and policy experts, official government sources, the CNBC Global CFO Council and the states themselves. States receive points based on their rankings in each metric. Then we separate those metrics into 10 broad categories, weighted based on how frequently each is used as a selling point in state economic development marketing materials. That way, our study ranks the states based on the criteria they use to sell themselves. This year some states were tied http://www.cnbc.com/top-states-past-year-rankings/  

Australia's international merchandise trade statistics record goods which add to or subtract from the stock of material resources of Australia by entering (imports) or leaving (exports) its territory. Goods simply transported through Australia (goods in transit), or temporarily admitted or withdrawn, do not add to or subtract from Australia's stock of material resources and are not included in Australia's international merchandise trade statistics.

Between 1980 and 2023, 59 Severe Storm, 12 Winter Storm, 4 Flooding, 9 Drought, 4 Tropical Cyclone, and 2 Freeze billion-dollar disaster events affected Ohio (CPI-adjusted). Note: All Events data has been aggregated.

TOTAL FERTILITY RATE is the sum of the age-specific birth rates (5-year age groups between 10 and 49) for female residents of a specified geographic area (nation, state, county, etc.) during a specified time period (usually a calendar year) multiplied by 5. (NOTE: This rate estimates the number of children a hypothetical cohort of 1,000 females in the specified population would bear if they all went through their childbearing years experiencing the same age-specific birth rates for a specified time period.) Note : 2022 data is provisional

Change-of-Address Stats on USPS FOIA Website

Preliminary Release: China's Total Export & Import Values ​​by Country/Region (in USD)

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série comprend uniquement les pays pour lesquels les définitions de la 19e CIST sont appliquées. Les chômeurs comprennent toutes les personnes qui se trouvent: a) sans travail pendant la période de référence, c'est-à-dire pas en emploi ni salarié ni non salarié; b) disponibles pour travailler dans un emploi salarié ou non salarié durant la période de référence; et c) à la recherche d'un travail, c'est-à-dire ayant pris des dispositions spécifiques au cours d'une période récente spécifiée pour chercher un emploi salarié ou non salarié. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques du travail - 19e CIST (WORK).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les chômeurs comprennent toutes les personnes qui se trouvent: a) sans travail pendant la période de référence, c'est-à-dire pas en emploi ni salarié ni non salarié; b) disponibles pour travailler dans un emploi salarié ou non salarié durant la période de référence; et c) à la recherche d'un travail, c'est-à-dire ayant pris des dispositions spécifiques au cours d'une période récente spécifiée pour chercher un emploi salarié ou non salarié. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Climate Change Knowledge Portal, Temperature and Rainfall: Historical Data (CRU Observed)

Program Overview:The Common Core of Data (CCD) nonfiscal surveys consist of data submitted annually to the National Center for Education Statistics (NCES) by state education agencies (SEAs) in the 50 states, the District of Columbia, Puerto Rico, the four US Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the US Virgin Islands), the Department of Defense Education Activity (DoDEA), and the Bureau of Indian Education (BIE). In order to provide data comparable across states, NCES and representatives of SEAs have worked since the 1950s to develop and accept common data items and definitions. SEAs report school-, agency-, and state-level education data for the CCD through the US Department of Education's EDFacts collection system. CCD survey staff edits the data to produce the final data file, which NCES uses to construct general-purpose publications and specialized reports. The principal users of CCD nonfiscal data are the federal government; the education research community; state and local government officials, including school boards and LEA administrators; and the general public.   Guidelines for Missing, Not Applicable, and Suppression Code Values: For Numeric Data: -1 denotes missing, not available, or not reported data items. -2 denotes "not applicable" data items. -9 indicates suppressed data because it failed the multi-year edit.        

The national conforming loan limit for mortgages that finance single-family one-unit properties increased from $33,000 in the early 1970s to $417,000 for 2006-2008, with limits 50 percent higher for four statutorily-designated high cost areas: Alaska,  Hawaii, Guam, and the U.S. Virgin Islands.  Since 2008, various legislative acts increased the loan limits in certain high-cost areas in the United States.  While some of the legislative initiatives established temporary limits for loans originated in select time periods, a permanent formula was established under the Housing and Economic Recovery Act of 2008 (HERA).  The 2021 loan limits have been set under the HERA formula. 

The Tax Foundation’s publication Corporate Tax Rates around the World shows how statutory corporate income tax rates have developed since 1980, with data for over 200 jurisdictions for the year 2023. The dataset we compiled for the years 1980 to 2023 is made available as a resource for research.  

Chinese Taipei is WTO terminology for the territory referred to by the United Nations as Taiwan Province of China. Please also refer to the official announcement by WTO at www.wto.org/english/news_e/pres01_e/pr253_e.htm As of 2017, the data includes an additional six entities (CTBTO, ICC, UNCDF, UNFCCC, UNRISD, UNSSC)

Note: Industry classification is based on North American Industry Classification System (NAICS). County Business Patterns (CBP) is an annual series that provides sub-national economic data by industry. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. This data is useful for studying the economic activity of small areas, analyzing economic changes over time, and as a benchmark for other statistical series, surveys, and databases between economic censuses. Businesses use the data for analyzing market potential, measuring the effectiveness of sales and advertising programs, setting sales quotas, and developing budgets. Government agencies use the data for administration and planning.

Data cited at: COVID-19 Vaccine Projections https://covid19-projections.com/path-to-herd-immunity/

Debt and state personal income are based on calendar years; pension and retiree health care data are based on states’ own fiscal years. Pension and debt data are shown starting in 2007—the year before the beginning of the 18-month Great Recession. Other post-employment benefits (OPEB) data is reported since fiscal 2008 because states only began publishing the plans’ unfunded obligations in fiscal 2007, and states were still adjusting to the new reporting standards in the first two years. Starting in fiscal 2017, the Governmental Accounting Standards Board implemented new requirements for reporting on the financial standing of state OPEB programs. As a result, Pew is updating its methodology for publishing unfunded OPEB promises for fiscal 2017 and beyond, and this will be reflected in future updates.The size of a state’s liability is expressed as a percentage of personal income. But when expressing how much a state’s liability has changed, such as between 2007 and 2020, the difference between those percentages is measured in percentage points, not percent.

Fatality Analysis Reporting System (FARS) Source - https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/813435

Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Les données sont présentées par activité économique, qui fait référence à l'activité principale de l'établissement dans lequel la personne a travaillé pendant la période de référence, et ne dépend pas des tâches ou des fonctions spécifiques du travail de la personne, mais des caractéristiques de l'entité économique dans laquelle cette personne travaille. Pour plus d'informations, reportez-vous à notre page sur les concepts et définitions.

Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Les données sont présentées par situation dans la profession utilisant la dernière version de la Classification internationale type de situation dans la profession (CISP-93). La situation dans la profession fait référence au type de contrat de travail explicite ou implicite que la personne a avec d'autres personnes ou organisations. Les critères de base utilisés pour définir les catégories de la classification sont le type de risque économique et le type d'autorité que les titulaires d'un emploi ont ou auront sur les établissements et les autres travailleurs. Pour plus d'informations, reportez-vous à notre page sur les concepts et définitions.

Figures compiled by Auto Alliance with data provided by IHS Markit represent new vehicle registrations between January 1, 2016 - December 31, 2018.

Annual net CO2 emission/removal from Forest Land consist of net carbon stock gain/loss in the living biomass pool (aboveground and belowground biomass) associated with Forest and Net Forest Conversion. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html) and using area and carbon stocks data compiled by countries in the FAO Global Forest Resource Assessments (http://www.fao.org/forestry/fra/en/). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net stock change Gg C, net emissions/removals Gg CO2 and CO2eq, by forest or net forest conversion and by aggregate (forest land). Implied emission factor for CO2 as well as activity data (area, net area difference, total forest area and carbon stock in living biomass) are also given.

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Les données ventilées par activité économique sont présentées conformément à la version plus récente de la Classification internationale type des industries (CITI) disponible. Les données peuvent avoir été reclassées à partir de classifications nationales, qui peuvent ne pas être strictement comparables à la CITI. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série comprend uniquement les pays pour lesquels les définitions de la 19e CIST sont appliquées. Les personnes en emploi sont définies comme toutes les personnes en âge de travailler qui, durant une courte période de référence, étaient engagées dans toute activité visant à produire des biens ou à fournir des services en échange d>une rémunération ou d>un profit. Elles comprennent les personnes en emploi qui ont travaillé une heure au moins dans un poste de travail et les personnes en emploi qui n>étaient pas au travail en raison d>une absence temporaire d>un poste de travail ou d>aménagements du temps de travail. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques du travail - 19e CIST (WORK).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Les personnes pourvues d'un emploi sont toutes les personnes en âge de travailler qui, durant une brève période de référence spécifiée, se trouvaient dans une des catégories suivantes: a) emploi salarié (soit au travail ou ayant un emploi mais pas au travail), b) emploi non salarié (soit au travail ou ayant une entreprise mais pas au travail). Les données ventilés par situation dans la profession sont présentés conformément à la dernière version de la Classification internationale type de situation dans la profession (CISP-93). Les données peuvent avoir été reclassées à partir de classifications nationales, qui peuvent ne pas être strictement comparables à la CISP. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). L'emploi total dans le secteur public s'entend de tous les emplois du secteur des administrations publiques tel qu'il est défini dans le Système de comptabilité nationale 1993 plus les emplois des sociétés et entreprises publiques, résidentes et exerçant leurs activités aux niveaux central, d'Etats fédérés (ou des régions) et local. Il couvre donc toutes les personnes employées dans le secteur public, quel que soit leur statut ou leur type de contrat. Voir le document (en anglais seulement): Statistics on Public Sector Employment: Methodology, Structures and Trends. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

U.S. Employment by Sector -  Monthly data

Note: Source has discontinued Energy-related carbon dioxide (CO2) emissions vary significantly across states, whether considered on an absolute or per capita basis. Total state CO2 emissions include those from direct fuel use across all sectors, including residential, commercial, industrial, and transportation, as well as primary fuels consumed for electric generation. The overall size of a state, as well as the available fuels, types of businesses, climate, and population density, play a role in determining the level of both total and per capita emissions. Additionally, each state’s energy system reflects circumstances specific to that state. For example, some states have abundant hydroelectric supplies, while others contain abundant coal resources. This paper presents a basic analysis of the factors that contribute to a state’s CO2 profile. This analysis neither attempts to assess the effect of state policies on absolute emissions levels or on changes over time, nor does it intend to imply that certain policies would be appropriate for a particular state. The term energy-related CO2 emissions includes emissions released at the location where fossil fuels are consumed. Therefore, to the extent that fuels are used in one state to generate electricity that is consumed in another state, emissions are attributed to the former rather than the latter. Analysis attributing emissions to the consumption of electricity, rather than the production of electricity, would yield different results. For feed-stock application, carbon stored in products such as plastics are subtracted from reported emissions for the states where they are produced.

The State Preschool Yearbook is an annual publication which has tracked the funding, access, and policies of state-funded preschool programs since the 2001-2002 school year. The Yearbook seeks to improve the public’s knowledge and understanding of state efforts to expand the availability of high-quality education to young children in the 21st century. We hope that this report will serve as a resource for policymakers, advocates, and researchers to make more informed decisions as state-funded preschool education moves forward to further decades of progress.

Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) has potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. The underlying PM2.5 concentrations estimates are taken from van Donkelaar et al. (2016). They have been derived using satellite observations and a chemical transport model, calibrated to global ground-based measurements using Geographically Weighted Regression at 0.01° resolution. The underlying population data, Gridded Population of the World, version 4 (GPWv4) are taken from the Socioeconomic Data and Applications Center (SEDAC) at the NASA. The underlying boundary geometries are taken from the Global Administrative Unit Layers (GAUL) developed by the FAO, and the OECD Territorial Classification, when available. The current version of the database presents much more variation with respect to the previous one. The reason is that the underlying concentration estimates previously included smoothed multi-year averages and interpolations; while in the current version annual concentration estimates are used. Establishing trends of pollution exposure should be done with care, especially at smaller output areas, as their inputs (e.g. underlying data and models) can change from year to year. We recommend using a 3-year moving average for visualisation.

If a search in the StatBank does not return any result, this does not necessarily mean that there is no trade or that the country code is not valid in the particular period. A zero (0) could also imply that the figures are confidential or that the value is less than half of the unit used. From 2006 on the following countries had their belonging to continent changed - Cyprus from Asia to Europe, and Armenia, Georgia, Kyrgyzstan, Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan from Europe to Asia. The total for Trade are/continent includes this change - while in the selections of countries in the pull-down menu for European/Asian countries it is the present classification that will be shown for the whole time period (Cypros belonging to Europe and the other countries to Asia). Statistics Norway do not publish figures for the trade region previously Comecon after 2011. For more information, see About the statisticsMonthly figures are released on the 15th of the month after the observation period (the previous month), or the first subsequent working day. These figures are preliminary. Corresponding yearly figures are published together with the monthly figures for December. With regard to the current year, all the monthly figures are updated in every publication. Final figures for the preceding year are released twice. For the first time in May the following year, while the corrected final figures are published in May one year later.countryEUCroatia is included in the trade with the EU from 2014 on.Palestine (2013-)Previously: West Bank/Gaza Stripe (2001-2012)

If a search in the StatBank does not return any result, this does not necessarily mean that there is no trade or that the country code is not valid in the particular period. A zero (0) could also imply that the figures are confidential or that the value is less than half of the unit used. From 2006 on the following countries had their belonging to continent changed - Cyprus from Asia to Europe, and Armenia, Georgia, Kyrgyzstan, Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan from Europe to Asia. The total for Trade are/continent includes this change - while in the selections of countries in the pull-down menu for European/Asian countries it is the present classification that will be shown for the whole time period (Cypros belonging to Europe and the other countries to Asia). Statistics Norway do not publish figures for the trade region previously Comecon after 2011. For more information, see About the statisticsMonthly figures are released on the 15th of the month after the observation period (the previous month), or the first subsequent working day. These figures are preliminary. Corresponding yearly figures are published together with the monthly figures for December. With regard to the current year, all the monthly figures are updated in every publication. Final figures for the preceding year are released twice. For the first time in May the following year, while the corrected final figures are published in May one year later.countryEUCroatia is included in the trade with the EU from 2014 on.Palestine (2013-)Previously: West Bank/Gaza Stripe (2001-2012)

Methodological explanationsSymbols usedSource: State Statistical Office, Year 2018M12, preliminary data

Methodological explanationsSymbols usedSource: State Statistical OfficeYear2018preliminary data

This dataset FDI flows by counterpart area, BMD4 includes inward and outward Foreign Direct Investment (FDI) flows by partner country for OECD reporting economies: Inward FDI flows by partner country measure the value of cross-border direct investment transactions received by the reporting economy during a year, by source country, enabling, for example, the identification of the major sources of FDI for a specific OECD economy in that year. Inward FDI flows are allocated to the immediate investing country. Outward FDI flows by partner country measure the value of cross-border direct investment transactions from the reporting economy during a year, by destination country or region, enabling, for example, the identification of the major destinations of FDI for a specific OECD economy in that year. Outward FDI flows are allocated to the immediate counterpart country for all OECD countries. Inward and outward FDI flows by partner country are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions and in millions of national currency.

This dataset FDI flows by economic activity, BMD4 includes inward and outward Foreign Direct Investment (FDI) flows by economic activity for OECD reporting economies: Inward FDI flows by economic activity measure the value of cross-border direct investment transactions received by the reporting economy in a specific industry during a year, enabling, for example, the identification of the most attractive industries for FDI in each OECD economy in that year. Outward FDI flows by economic activity measure the value of cross-border direct investment transactions from the reporting economy during a year, by industry. The industry sector corresponds to the activity of the direct investment enterprise or to the activity of the direct investor (more details on the activity allocation method for outward FDI flows are indicated in the metadata information attached at the country level). Inward and outward FDI flows by economic activity are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions and in millions of national currency. A cross-classification of inward and outward FDI flows by major ISIC4 sections and by main geographic aggregates are also available for some OECD reporting economies.

This dataset FDI income by counterpart area, BMD4 includes Foreign Direct Investment (FDI) payments and receipts by partner country for OECD reporting economies:FDI income payments (or income on inward FDI) by partner country measure the total returns within a year on direct investment stocks paid by enterprises in the reporting economy to their foreign investors, by destination countries or regions, enabling, for example, the identification of the major destinations of FDI income payments for a specific OECD economy in that year. FDI income payments are allocated to the immediate counterpart country.FDi income receipts (or income on outward FDI) by partner country measure the total returns within a year on direct investment stocks received by investors in the reporting economy from their direct investment enterprises abroad, by source countries or region, enabling, for example, the identification of the major sources of FDI income receipts for a specific OECD economy in that year.. FDI income receipts are allocated to the immediate counterpart country or region for all OECD countries. Income payments and receipts (or income on inward and outward FDI respectively) by partner country are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions and in millions of national currency.

This dataset FDI income by economic activity, BMD4 includes Foreign Direct Investment (FDI) payments and receipts by economic activity for OECD reporting economies: FDI income payments (or income on inward FDI) by economic activity measure the total returns within a year on direct investment stocks paid by enterprises in the reporting economy, in a specific industry, to their foreign investors. FDi income receipts (or income on outward FDI) by economic activity measure the total returns within a year on direct investment stocks received by investors in the reporting economy from their direct investment enterprises abroad, by industry. The industry sector corresponds to the activity of the direct investment enterprise or to the activity of the direct investor (more details on the activity allocation method for FDI income receipts are indicated in the metadata information attached at the country level). Income payments and receipts (or income on inward and outward FDI respectively) by economic activity are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions and in millions of national currency.

This dataset FDI positions by counterpart area, BMD4 includes inward and outward Foreign Direct Investment (FDI) positions by partner country for OECD reporting economies.  Inward and outward FDI positions by partner country are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions, in millions of national currency and as a share of total FDI positions.

This dataset FDI positions by economic activity, BMD4 includes inward and outward Foreign Direct Investment (FDI) positions by economic activity according to ISIC4 for OECD reporting economies.

The National Risk Index is a dataset and online tool to help illustrate the U.S. communities most at risk for 18 natural hazards: Avalanche, Coastal Flooding, Cold Wave, Drought, Earthquake, Hail, Heat Wave, Hurricane, Ice Storm, Landslide, Lightning, Riverine Flooding, Strong Wind, Tornado, Tsunami, Volcanic Activity, Wildfire, and Winter Weather. The National Risk Index provides relative Risk Index scores and ratings based on data for Expected Annual Loss due to natural hazards, Social Vulnerability, and Community Resilience. Separate scores and ratings are also provided for Expected Annual Loss, Social Vulnerability, and Community Resilience. For the Risk Index and Expected Annual Loss, scores and ratings can be viewed as a composite score for all hazards or individually for each of the 18 hazard types.

Monthly updates of FIFA World Football Men's Ranking 

.The all candidate summary file contains one record including summary financial information for all candidates who raised or spent money during the period no matter when they are up for election.

Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- International trade in services by region, 1 000 000 euros http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__kan__tpulk/statfin_tpulk_pxt_004.px License: http://creativecommons.org/licenses/by/4.0/ The statistics on international trade in goods and services cover international trade in balance of payments terms on the quarterly level. The statistics form a link for goods trade in customs and balance of payments terms, describe the breakdown of quarterly trade in services, and indicate the total exports of goods and services by area. . = Category not applicable. .. = Data not available or too uncertain for presentation, or subject to secrecy. Description of statistics Concepts and definitionsRegion Region and statesYear Year.Data Import The value of imports, 1 000 000 euros.Export The value of exports, 1 000 000 euros.

Le flux de migrants rentrés fait référence au nombre de migrants qui sont rentrés d'une période de résidence à l'étranger pour vivre dans leur pays de citoyenneté (ou pays de naissance, selon le contexte). Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la migration internationale de main-d'oeuvre (ILMS)).

Le flux entrant de migrants fait référence au nombre d'immigrants qui ont changé leur pays de résidence habituelle pendant la période de référence. Le pays de résidence habituelle d'une personne est le pays dans lequel la personne a un endroit où elle passe normalement son temps quotidien de repos. Les voyages temporaires à l'étranger pour loisirs, vacances, affaires, traitement médical ou pélerinage religieux n'impliquent pas de changement dans le pays de résidence habituelle. Les données se présentent par sexe et pays d'origine. Le pays d'origine d'une personne est le pays duquel la personne provient, c'est-à-dire, le pays de sa citoyenneté (ou le pays de résidence habituelle dans le cas des apatrides).

Le flux sortant de ressortissants nationaux fait référence au nombre de citoyens légaux d'un pays donné qui ont changé leur pays de résidence habituelle pour un pays autre que celui-là pendant la période de référence. Le pays de résidence habituelle d'une personne est le pays dans lequel la personne a un endroit où elle passe normalement son temps quotidien de repos. Les voyages temporaires à l'étranger pour loisirs, vacances, affaires, traitement médical ou pélerinage religieux n'impliquent pas de changement dans le pays de résidence habituelle. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la migration internationale de main-d'oeuvre (ILMS)).

Description of statisticQuality descriptions Concepts and definitions... confidential

Description of statisticQuality descriptions Concepts and definitions... confidential

International trade in services, yearly by imports and exports, items, country and time, Denmark

Texas Freight Mobility Plan

Data cited at: Global Database of Events, Language, and Tone   The GDELT Event Database records over 300 categories of physical activities around the world, from riots and protests to peace appeals and diplomatic exchanges, georeferenced to the city or mountain top, across the entire planet dating back to January 1, 1979 and updated every 15 minutes. Essentially it takes a sentence like "The United States criticized Russia yesterday for deploying its troops in Crimea, in which a recent clash with its soldiers left 10 civilians injured" and transforms this blurb of unstructured text into three structured database entries, recording US CRITICIZES RUSSIA, RUSSIA TROOP-DEPLOY UKRAINE (CRIMEA), and RUSSIA MATERIAL-CONFLICT CIVILIANS (CRIMEA). Nearly 60 attributes are captured for each event, including the approximate location of the action and those involved. This translates the textual descriptions of world events captured in the news media into codified entries in a grand "global spreadsheet."

Every two years, the Commission publishes Federal Elections, a compilation of the official, certified federal election results obtained from each state’s election office and other official sources.

This dataset presents a collection of key ICT indicators for about 200 economies worldwide, covering statistics on access to and use of ICTs by households and individuals.

The OECD Green Growth database contains selected indicators for monitoring progress towards green growth to support policy making and inform the public at large. The database synthesises data and indicators across a wide range of domains including a range of OECD databases as well as external data sources. The database covers OECD member and accession countries, key partners (including Brazil, China, India, Indonesia and South Africa) and other selected non-OECD countries.

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

Data cited at: Financial Tracking Service

FIFA is the international governing body of association football, futsal and beach soccer. Its membership comprises 209 national associations. Its headquarters are in Zurich, Switzerland, and its president is Sepp Blatter. FIFA is responsible for the organisation of football's major international tournaments, notably the World Cup.

Unit of measure used: Thousands   OECD countries seldom have tools specifically designed to measure the inflows and outflows of the foreign population, and national estimates are generally based either on population registers or residence permit data. This note is aimed at describing more systematically what is measured by each of the sources used.   Flows derived from population registers   Population registers can usually produce inflow and outflow data for both nationals and foreigners. To register, foreigners may have to indicate possession of an appropriate residence and/or work permit valid for at least as long as the minimum registration period. Emigrants are usually identified by a stated intention to leave the country, although the period of (intended) absence is not always specified.   When population registers are used, departures tend to be less well recorded than arrivals. Indeed, the emigrant who plans to return to the host country in the future may be reluctant to inform about his departure to avoid losing rights related to the presence on the register. Registration criteria vary considerably across countries (as the minimum duration of stay for individuals to be defined as immigrants ranges from three months to one year), which poses major problems of international comparison. For example, in some countries, register data cover a portion of temporary migrants, in some cases including asylum seekers when they live in private households (as opposed to reception centres or hostels for immigrants) and international students.   Flows derived from residence and/or work permits   Statistics on permits are generally based on the number of permits issued during a given period and depend on the types of permits used. The so-called “settlement countries” (Australia, Canada, New Zealand and the United States) consider as immigrants persons who have been granted the right of permanent residence. Statistics on temporary immigrants are also published in this database for these countries since the legal duration of their residence is often similar to long-term migration (over a year). In the case of France, the permits covered are those valid for at least one year (excluding students). Data for Italy and Portugal include temporary migrants.   Another characteristic of permit data is that flows of nationals are not recorded. Some flows of foreigners may also not be recorded, either because the type of permit they hold is not tabulated in the statistics or because they are not required to have a permit (freedom of movement agreements). In addition, permit data do not necessarily reflect physical flows or actual lengths of stay since: i) permits may be issued overseas but individuals may decide not to use them, or delay their arrival; ii) permits may be issued to persons who have in fact been resident in the country for some time, the permit indicating a change of status, or a renewal of the same permit.   Permit data may be influenced by the processing capacity of government agencies. In some instances a large backlog of applications may build up and therefore the true demand for permits may only emerge once backlogs are cleared.   Flows estimated from specific surveys   Ireland provides estimates based on the results of Quarterly National Household Surveys and other sources such as permit data and asylum applications. These estimates are revised periodically on the basis of census data. Data for the United Kingdom are based on a survey of passengers entering or exiting the country by plane, train or boat (International Passenger Survey). One of the aims of this survey is to estimate the number and characteristics of migrants. The survey is based on a random sample of approximately one out of every 500 passengers. The figures were revised significantly following the latest census in each of these two countries, which seems to indicate that these estimates do not constitute an “ideal” source either. Australia and New Zealand also conduct passenger surveys which enable them to establish the length of stay on the basis of migrants’ stated intentions when they enter or exit the country.

International trade in services, quarterly by imports and exports, country and time

Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: International trade; Imports and exports of services by country, 2003-2013 https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=80414ENG&_theme=1118 License: http://creativecommons.org/licenses/by/4.0/   This table contains information on Dutch imports and exports of services broken down by various service types and countries (groups). From 2006 onwards more detailed information is available than the years before. In addition, the annual figures show more detailed information than the quarterly figures. Data available from 2003 to 2013. Status of the figures: The figures are definite. Changes as of 8 October 2014: None, this table has been discontinued. When will new figures be published? No longer applicable.

The mission of the Internet Crime Complaint Center (IC3) is to provide the public with a reliable and convenient reporting mechanism to submit information to the FBI concerning suspected Internet-facilitated criminal activity and to develop effective alliances with industry partners. Information is processed for investigative and intelligence purposes for law enforcement and public awareness.

This dataset contains the number of first-time freshmen by the state of residence, along with data on the number who graduated from high school the previous year. Institutions with traditional academic year calendar systems (semester, quarter, trimester or 4-1-4) report their enrollment as of October 15 or the official fall reporting date of the institution. Institutions with calendar systems that differ by program or allow continuous enrollment report students that are enrolled at any time between August 1 and October 31. 

This dataset contains the graduation rate status as of 2021 for the cohort of full-time, first-time degree / certificate-seeking undergraduates in both four year and two year institutions. Data for four year institutions include the number of bachelor degree-seeking students who were enrolled in 2011, the number of bachelor degree seeking students who completed any degree / certificate within 150 percent of normal time, the number who completed a bachelor's degree within 100, 125 or 150 percent of normal time, and the number of bachelor's degree-seeking students who transferred out. Data for students seeking a degree / certificate other than a bachelor's degree are also included for four year institutions. Data for two year institutions include the number of full-time, first-time students who were enrolled in 2014, the number of students who completed any degree / certificate within 100 or 150 percent of normal time and the number of students who transferred out. This file has multiple records per institution. Records are uniquely defined by the variables IPEDS ID (UNITID), and the cohort and graduation status within the cohort (GRTYPE). Each record will contain the above data by gender and race / ethnicity. Note: The number of students who completed a degree / certificate within 100 percent of normal time is not available by race / ethnicity and gender. "This file contains the graduation rate status as of August 31, 2017 for the cohort of full-time, first-time degree / certificate-seeking undergraduates in both four year and two year institutions. Data for four year institutions include the number of bachelor degree-seeking students who were enrolled in 2011, the number of bachelor's degree seeking students who completed any degree / certificate within 150 percent of normal time, the number who completed a bachelor's degree within 100, 125 or 150 percent of normal time, and the number of bachelor's degree-seeking students who transferred out . Data for students seeking a degree / certificate other than a bachelor's degree are also included for four year institutions. Data for two year institutions include the number of full-time, first-time students who were enrolled in 2014, the number of students who completed any degree / certificate within 100 or 150 percent of normal time and the number of students who transferred out. This file has multiple records per institution. Records are uniquely defined by the variables IPEDS ID (UNITID), and the cohort and graduation status within the cohort (GRTYPE). Each record will contain the above data by gender and race / ethnicity. Note: The number of students who completed a degree / certificate within 100 percent of normal time is not available by race / ethnicity and gender.

Unduplicated head count: Unduplicated head count of students enrolled over a 12-month period for both undergraduate and graduate levels. These enrollment data are particularly valuable for institutions that use non-traditional calendar systems and offer short-term programs. Because this enrollment measure encompasses an entire year, it provides a more complete picture of the number of students these schools serve. Instructional activity: Instructional activity measured in total credit and/or contact hours delivered by institutions during a 12-month period.  The credit hour and contact hour activity data are used to derive 12-month full-time equivalent (FTE) enrollments for both undergraduate and graduate levels. The graduate level does not include credit hours for doctoral professional practice students.

Land resources are one of the four components of the natural environment: water, air, land and living resources. In this context land is both: a physical "milieu" necessary for the development of natural vegetation as well as cultivated vegetation;a resource for human activities.  The data presented here give information concerning land use state and changes (e.g. agricultural land, forest land).  Land area excludes area under inland water bodies (i.e. major rivers and lakes).   Arable refers to all land generally under rotation, whether for temporary crops (double-cropped areas are counted only once) or meadows, or left fallow (less than five years). These data are not meant to indicate the amount of land that is potentially cultivable.  Permanent crops are those that occupy land for a long period and do not have to be planted for several years after each harvest (e.g. cocoa, coffee, rubber). Land under vines and trees and shrubs producing fruits, nuts and flowers, such as roses and jasmine, is so classified, as are nurseries (except those for forest trees, which should be classified under "forests and other wooded land").  Arable and permanent crop land is defined as the sum of arable area and land under permanent crops.  Permanent meadows and pastures refer to land used for five years or more to grow herbaceous forage crops, either cultivated or growing wild (wild prairie or grazing land).  Forest refers to land spanning more than 0.5 hectare (0.005 km2) and a canopy cover of more than 10 percent, or trees able to reach these thresholds in situ. This includes land from which forests have been cleared but that will be reforested in the foreseeable future. This excludes woodland or forest predominantly under agricultural or urban land use and used only for recreation purposes.

Landings of fishery products in the ports of EEA member countries (quantity and value)

Landings of fishery products in the ports of EEA member countries (quantity and value)

Landings of fishery products in the ports of EEA member countries (quantity and value)

Landings of fishery products in the ports of EEA member countries (quantity and value)

Landings of fishery products in the ports of EEA member countries (quantity and value)

Landings of fishery products in the ports of EEA member countries (quantity and value)

Landings of fishery products in the ports of EEA member countries (quantity and value)

Linguistic Diversity Index Data cited at: https://www.worldatlas.com/articles/the-most-linguistically-diverse-countries-in-the-world.html

The living wage shown is the hourly rate that an individual must earn to support their family, if they are the sole provider and are working full-time (2080 hours per year). All values are per adult in a family unless otherwise noted. The state minimum wage is the same for all individuals, regardless of how many dependents they may have. The poverty rate is typically quoted as gross annual income. We have converted it to an hourly wage for the sake of comparison.

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série comprend uniquement les pays pour lesquels les définitions de la 19e CIST sont appliquées. La main-d'oeuvre est la somme de toutes les personnes en âge de travailler qui sont employées et celles qui sont au chômage. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques du travail - 19e CIST (WORK).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). La main-d'oeuvre est la somme de toutes les personnes en âge de travailler qui sont employées et celles qui sont au chômage. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

(CDC ID's: y6uv-t34t ,7pb7-w9us ,93k9-hy54) NNDSS - Table II. Lyme disease to Meningococcal - 2016. In this Table, provisional* cases of selected notifiable diseases (1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note: These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Case counts for reporting year 2015 and 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. Data for meningococcal disease, invasive caused by serogroups ACWY; serogroup B; other serogroup; and unknown serogroup are available in Table I.

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

These data refer to material resources, i.e. materials originating from natural resources that form the material basis of the economy: metals (ferrous, non-ferrous) non-metallic minerals (construction minerals, industrial minerals), biomass (wood, food) and fossil energy carriers. 

The Part D Prescriber PUF is based on information from CMS’s Prescription Drug Event Standard Analytic File, which has final-action claims that are submitted by Medicare Advantage Prescription Drug (MAPD) plans and by stand-alone Prescription Drug Plans (PDP).

The Access Ranking indicates how much access to mental health care exists within a state. The access measures include access to insurance, access to treatment, quality and cost of insurance, access to special education, and workforce availability. A high Access Ranking indicates that a state provides relatively more access to insurance and mental health treatment.

Les migrants sont les personnes qui ont changé leur pays de résidence habituelle pendant la période de référence. Le pays de résidence habituelle d'une personne est le pays dans lequel la personne a un endroit où elle passe normalement son temps quotidien de repos. Les voyages temporaires à l'étranger pour loisirs, vacances, affaires, traitement médical ou pélerinage religieux n'impliquent pas de changement dans le pays de résidence habituelle. Les données se présentent par pays d'origine. Le pays d'origine d'une personne est le pays duquel la personne provient, c'est-à-dire, le pays de sa citoyenneté (ou le pays de résidence habituelle dans le cas des apatrides).

Immigration and emigration in the Netherlands and the administrative corrections by country of birth, sex, age and marital status. Data available from: 1995 Status of the figures: All data recorded in this publication are final data. Changes as from 18 June 2018: The final figures of 2017 have been added. Changes as from 26 April 2018: The underlying coding of classifications used in this table has been adjusted. It is now in line with the standard encoding defined by CBS. The structure and data of the table have been adjusted. The age classification has been simplified: the five-year groups have been removed. This makes the table better suited for the interface of the new StatLine. If you are missing these figures, please contact Infoservice (see section 5). When will new figures be published? The final figures of 2018 will be added in the second quarter of 2019 in this publication.

State Minimum Wage Laws - Basic Minimum Rate, United States

Public transit is a critical part of the economic and social fabric of metropolitan areas. Nearly 30 million trips are made every day using public transit. Almost all of these trips occur in the nation’s 100 largest metro areas, which account for over 95 percent of all transit passenger miles traveled. People take transit for any number of reasons, but one of the most common is to get to work.

Value of imports and exports by BEC (Broad Economic Categories), country, imports and exports and time

Value of exports by SHORT-TERM (industrial origin), country, imports and exports and time

 Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to e National Notifiable Diseases Surveillance System (NNDSS), if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly asnumbered tables  TRANSLATE with xEnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian  TRANSLATE with COPY THE URL BELOW BackEMBED THE SNIPPET BELOW IN YOUR SITEEnable collaborative features and customize widget: Bing Webmaster PortalBack

These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week.  Note- https://wonder.cdc.gov/nndss/static/2021/31/2021-31-table1ii.html https://wonder.cdc.gov/nndss/static/2021/31/2021-31-table1kk.html  https://wonder.cdc.gov/nndss/static/2021/31/2021-31-table1ll.html   

Major change in coverage in 2011. Consult About the statisticsOnly vessels at or above 1,000 gross tonnage. No fishing vessels.

It covers foreign passengers who have crossed the border of Mongolia.

A tourist refers a person who travels to and stays in places outside his usual environment for not more than 183 days for purposes other than employment.

Ocean Health Index

Citation:  Gundersen, C., A. Dewey, M. Kato, , A. Crumbaugh & M. Strayer. Map the Meal Gap 2019: A Report on County and Congressional District Food Insecurity and County Food Cost in the United States in 2017. Feeding America, 2019.   Together, federal nutrition programs and the charitable food system weave a comprehensive nutrition safety net reaching food insecure individuals at different income levels and in different settings. Child nutrition programs, in particular, play a critical role in providing quality nutritious meals to millions of children every day for free or at a reduced cost. So in addition to developing overall food insecurity estimates for every county and congressional district, Map the Meal Gap also estimates child food insecurity rates in every county and congressional district in every state in the United States. As with counties, it is important to note that no congressional district is free of food insecurity. It is our hope that food banks, partner agencies, policy makers, business leaders, community activists and concerned citizens will use this information to fully engage in the fight against hunger.

Passenger (enplanement) and cargo data is extracted from the Air Carrier Activity Information System (ACAIS), a database that contains revenue passenger boarding and all-cargo data. The database supports the FAA's Airport Improvement Program (AIP) apportionment formula calculations. More about the collection and use of passenger and all-cargo data » Passenger boarding and all-cargo data is collected for a full calendar year and determines AIP entitlements for the next full fiscal year (i.e., calendar year 2018 data determines Fiscal Year 2020 entitlement funds).

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.

Resource Statistics - Pesticides Trade

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série comprend uniquement les pays pour lesquels les définitions de la 19e CIST sont appliquées. La population en âge de travailler est d'habitude définie comme les personnes âgées de 15 ans et plus, mais cela peut varier d'un pays à l'autre. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques du travail - 19e CIST (WORK).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). La population en âge de travailler est d'habitude définie comme les personnes âgées de 15 ans et plus, mais cela peut varier d'un pays à l'autre. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

In the United States, state laws require birth certificates to be completed for all births, and Federal law mandates national collection and publication of births and other vital statistics data. The National Vital Statistics System, the Federal compilation of these data, is the result of the cooperation between the National Center for Health Statistics (NCHS) and the states to provide access to national statistical information from birth certificates. For more information, see Birth Data

Prisoners under jurisdiction of state or federal correctional authorities, by jurisdiction and sex, December 31, 2015, 2016, 2017 Prisoners in 2017 Presents final counts of prisoners under the jurisdiction of state and federal correctional authorities at year-end 2017 and includes findings on admissions, releases, and imprisonment rates.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Quarterly External Debt Statistics GDDS Publication: https://datacatalog.worldbank.org/dataset/quarterly-external-debt-statistics-gdds License: http://creativecommons.org/licenses/by/4.0/   The World Bank launched the new Quarterly External Debt Statistics (QEDS) GDDS database. This database is consistent with the classifications and definitions of the 2013 External Debt Statistics: Guide for Compilers and Users (2013 EDS Guide) and Sixth Edition of Balance of Payments and International Investment Position Manual (BPM6). The QEDS GDDS database provides external debt data, starting from 2002Q4, for an extension of countries that participate in the IMF's General Data Dissemination System (GDDS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série comprend uniquement les pays pour lesquels les définitions de la 19e CIST sont appliquées. Le ratio emploi-population exprime le nombre de personnes pourvues d'un emploi en pourcentage de la population en âge de travailler. Les personnes en emploi sont définies comme toutes les personnes en âge de travailler qui, durant une courte période de référence, étaient engagées dans toute activité visant à produire des biens ou à fournir des services en échange d>une rémunération ou d>un profit. Elles comprennent les personnes en emploi qui ont travaillé une heure au moins dans un poste de travail et les personnes en emploi qui n>étaient pas au travail en raison d>une absence temporaire d>un poste de travail ou d>aménagements du temps de travail. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques du travail - 19e CIST (WORK).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Le ratio emploi-population exprime le nombre de personnes pourvues d'un emploi en pourcentage de la population en âge de travailler. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Data cited at: Refugee Processing Center   FY - Fiscal Years have been used (since October until September). Data for 2017 include the last available values.  The Refugee Processing Center (RPC) is operated by the U.S Department of State (DOS) Bureau of Population, Refugees, and Migration (PRM) in the Rosslyn section of Arlington, Virginia USA.  At the RPC and at Resettlement Support Centers (RSCs), an interactive computer system called the Worldwide Refugee Admissions Processing System (WRAPS) is used to process and track the movement of refugees from various countries around the world to the U.S. for resettlement under the U.S. Refugee Admissions Program (USRAP). Fiscal years 2008 through 2019 as of june 30,2019. . Fiscal Years 2008 through 2019 as of june 30,2019. >> Annual data is Fiscal year data and October is the year starting 

EU-countries in Eastern Europe are transferred from group 2 to group 1 from the time of membership in the EU. 2003 Q2: 115 Estonia, 124 Latvia, 131 Polen, 136 Litauen, 146 Slovenia, 152 Hungary, 157 Slovakia, 158 Czech Republic 2007 Q1: 113 Bulgaria, 133 Romania. EU-countries in Eastern-Europe are transferred from group2 to group 1 from the time of membership of the EU: 2004 k2: 115 Estonia, 124 Latvia, 131 Poland, 136 Lithuania, 146 Slovenia, 152 Hungary, 157 Slovakia, 158 Czech Republic. 2007 k1: 113 Bulgaria, 133 Romania. Countries transferred from group 2 to group 1 from the time of membership of the EU: 2004 k2: 126 Malta, 500 Cyprus. Asia includes Turkey and Cypus. Figures updated December 5, 2018. There is a break in the time series on registered unemployed among immigrants from Q4 2018, so the figures are not directly comparable with previous years.country backgroundSerbia and MontenegroThe name changed from Yugoslavia to Serbia and Montenegro 14 February 2003. Note-Figures in absolute numbers and in per cent of the labor force 

   

World : Renewable Electricity Capacity and Generation Statistics

Educational attainment in a science, engineering, or technology (SET) field gives people greater opportunities to work in higher-paying technical jobs than are generally available to those in other fields of study. Earning an associate's degree in an SET field also prepares an individual for more advanced technical education. This indicator represents the extent to which a state provides associate's level training in SET fields, controlling for the size of its college-age population. The cohort 18–24 years old was chosen to approximate the age range of most students who are pursuing an associate's degree. The National Center for Education Statistics counts the number of associate's degrees awarded in SET fields; these data include degrees in science and engineering technology fields that are not included with other similar indicators where only S&E fields are included. Associate's degrees are awarded at both 2-year and 4-year institutions in the United States, and there may be regional variations in the degree awards, based on the relationship of these institutions to each other in each state. Estimates of the population aged 18–24 years old are provided by the U.S. Census Bureau. Small differences in the indicator value between states or across time generally are not meaningful. Because students may move across state lines after receiving their associate's degrees, this indicator does not necessarily predict the qualifications of a state's future technical workforce.

Note: The year in dataset is FY The Survey of Science and Engineering Research Facilities is a congressional mandated, biennial survey that collects data on the amount, construction, repair, renovation, and funding of research facilities, as well as the computing and networking capacities at U.S. colleges and universities. The survey is an establishment-based survey completed by institutional coordinators at academic institutions and is a census of all research-performing colleges and universities in the United States that expended at least $1 million in research and development funds in the prior fiscal year.   Courtesy: National Science Foundation

This table presents annual statistics on international trade in services of individual economies by trading partner and by 78 selected service categories. In addition, the table contains data for services trade of various groups of economies with "world" and for selected principal service categories. The data presented are the result of the common work of UNCTAD and the World Trade Organization (WTO), in cooperation with the International Trade Center (ITC) and the United Nations Statistics Division (UNSD).

Health Professional Shortage Area (HPSA) designations are used to identify areas and population groups within the United States that are experiencing a shortage of health professionals. There are three categories of HPSA designation based on the health discipline that is experiencing a shortage: 1) primary medical; 2) dental; and 3) mental health. The primary factor used to determine a HPSA designation is the number of health professionals relative to the population with consideration of high need. Federal regulations stipulate that, in order to be considered as having a shortage of providers, an area must have a population-to-provider ratio of a certain threshold. For mental health, the population to provider ratio must be at least 30,000 to 1 (20,000 to 1 if there are unusually high needs in the community). The number of mental health care HPSA designations includes HPSAs that are proposed for withdrawal and HPSAs that have no data. By statute, designations are not withdrawn until a Federal Register Notice is published, generally once a year on or around July 1.

Data cited at: Gallup and Sharecare The Gallup-Sharecare Well-Being Index, which includes more than 2.5 million surveys, captures how people feel about and experience their daily lives. As part of the GallupSharecare State of American Well-Being series, this report examines well-being across the nation, including how well-being varies by state and which states lead and lag across the five elements of well-being. The five elements are: • Purpose: liking what you do each day and being motivated to achieve your goals • Social: having supportive relationships and love in your life • Financial: managing your economic life to reduce stress and increase security • Community: liking where you live, feeling safe, and having pride in your community • Physical: having good health and enough energy to get things done daily Overall, 2017 was a challenging year for Americans’ well-being. The national Well-Being Index score for the U.S. in 2017 was 61.5 – a decline from 62.1 in 2016. This overall drop was characterized by declines in 21 states, easily the largest year-over-year decline in the 10-year history of the Well-Being Index. Not a single state showed statistically significant improvement compared to the previous year, which is also unprecedented in Well-Being Index measurement. In the state rankings, South Dakota and Vermont, followed by Hawaii, were the highest well-being states in 2017. South Dakota has ranked among the highest six states every year since 2013 and Vermont, which had the sixth highest well-being in 2016, shares the highest well-being score (64.1) in 2017. Neither state had scored at the top of the well-being state rankings before. Hawaii, which along with Colorado holds the distinction of ranking in the top 10 highest well-being states each year since 2008, ranked just below South Dakota and Vermont in 2017 with a score of 63.4. In 2016, Hawaii was ranked in first place with a 65.2 well-being score. Residents of West Virginia reported the lowest levels of well-being in 2017 for the ninth consecutive year with a well-being score of 58.8. Louisiana fell to its lowest rank ever, recording a score of 58.9, just above West Virginia.

Supply Utilization Accounts and Food Balance Sheet present a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.

The OECD Sustainable Ocean Economy Database synthesizes available ocean-related datasets and indicators from across the Organisation to improve their discoverability and comparability. The database brings together relevant indicators from the Environment Directorate (ENV), the Trade and Agriculture Directorate (TAD), the Centre for Entrepreneurship, SMEs, Regions and Cities (CFE), the International Transport Forum (ITF), the International Energy Agency (IEA), and others.

UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - administrative source. Country: Azerbaijan Data source: population and housing census. Country: Belarus The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: population and housing census. Country: Georgia Data source: 2002 - population and housing census; 2011 and onwards - administrative source. Country: Kyrgyzstan Data source: population and housing census. Country: Moldova, Republic of ''Other'' includes a number of migrants for which the country is unknown. Data source: population register. Country: Russian Federation In 2010, the sum of the age groups does not correspond to the ''Total'' since the age was unknown for a number of persons. Data source: 2010 - population and housing census. Country: Ukraine In 2001, the sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. The population count does not include the territory of the Autonomous Republic of Crimea and the city of Sevastopol. The General Assembly has addressed the status of the Autonomous Republic of Crimea and the city of Sevastopol in resolution 68/262 of 27 March 2014. Data source: 2001 - population and housing census; 2011 and onwards - the annual estimate of the number of permanent residents as of January 1 carried out by the State Statistics Committee.

UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - administrative source. Country: Azerbaijan Data source: population and housing census. Country: Belarus The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: population and housing census. Country: Georgia Data source: 2002 - population and housing census; 2011 and onwards - administrative source. Country: Kyrgyzstan Data source: population and housing census. Country: Moldova, Republic of ''Other'' includes a number of migrants for which the country is unknown. Data source: population register. Country: Russian Federation In 2010, the sum of the age groups does not correspond to the ''Total'' since the age was unknown for a number of persons. Data source: 2010 - population and housing census. Country: Tajikistan Data source: 2000, 2010 - population and housing census; 2011-2014 - source unspecified. Country: Ukraine In 2001, the sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. The population count does not include the territory of the Autonomous Republic of Crimea and the city of Sevastopol. The General Assembly has addressed the status of the Autonomous Republic of Crimea and the city of Sevastopol in resolution 68/262 of 27 March 2014. Data source: 2001 - population and housing census; 2011 and onwards - the annual estimate of the number of permanent residents as of January 1 carried out by the State Statistics Committee.

The total for ''All countries'' includes persons for whom the country of previous residence is unknown.UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia In 2001 and 2011 the registered data refer to the date of conducting the Population Census and the number exceeds the total foreign population living in Armenia. Data from 2014 onwards are based on administrative sources. Data source: 2001, 2011 - population and housing census; 2014 and onwards - population register. Country: Azerbaijan Data source: residence permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - administrative source. Country: Kazakhstan Data source: 2009 - population and housing census; 2010 and onwards - residence permits. Country: Kyrgyzstan Data source: administrative source. Country: Russian Federation 2011 break in series: the Russian Federation introduced a new methodology for estimating immigration. From 2011 onwards, the source of data on international migration (long-term immigration) is registration at the place of residence and at the place of stay for a period of 9 months or more in the bodies of the Ministry of Internal Affairs of Russia. In 2011 and 2012, the full break down by age and sex is not available for some countries of previous residence. The total flow from each country of previous residence is available. Data source: administrative source. Country: Tajikistan The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: administrative source. Country: Ukraine 2001 data include all those who have ever moved. Data source: 2001 - population and housing census; 2011, 2012 - residence permits. Country: Uzbekistan Data from 2011 to 2014 include internal migrants within Uzbekistan. Data source: administrative source.

UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. The total for ''All countries'' includes persons for whom the country of next residence is unknown. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2001, 2011 - population and housing census; 2014 and onwards - population register. Country: Azerbaijan Data source: exit permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - administrative source. Country: Kazakhstan Data source: exit permits. Country: Kyrgyzstan For a number of persons the information on the country of next residence is missing in the source. Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation 2012 break in series: the Russian Federation introduced a new methodology for estimating emigration. From 2012 onwards, the source of data on international migration (long-term emigration) is registration at the place of residence and at the place of stay for a period of 9 months or more. In 2011 and 2012, the full break down by age and sex is not available for some countries of next residence. The total flow from each country of next residence is available. Data source: administrative source. Country: Tajikistan The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: administrative source. Country: Ukraine Data source: administrative source. Country: Uzbekistan Data from 2011 to 2014 include internal migrants within Uzbekistan. Data source: administrative source.

UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - population register. Country: Azerbaijan Data indicate the number of persons who obtained a permanent residence permit in Azerbaijan. Azer citizens returning from abroad are not included in the total number. Data source: residence permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - border cards. Country: Kyrgyzstan Data source: administrative source. Country: Russian Federation 2011 break in series: the Russian Federation introduced a new methodology for estimating immigration. From 2011 onwards, the source of data on international migration (long-term immigration) is registration at the place of residence and at the place of stay for a period of 9 months or more in the bodies of the Ministry of Internal Affairs of Russia. Data source: administrative source. Country: Ukraine Data source: 2001 - population and housing census; 2011, 2012 - residence permits.

UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2011 - population and housing census; 2015 and onwards - population register. Country: Azerbaijan Data indicate the number of persons who obtained an exit permit in Azerbaijan. Azer citizens are not included in the total number. Data source: exit permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - border cards. Country: Kyrgyzstan Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation 2012 break in series: the Russian Federation introduced a new methodology for estimating emigration. From 2012 onwards, the source of data on international migration (long-term emigration) is registration at the place of residence and at the place of stay for a period of 9 months or more. Data source: administrative source. Country: Ukraine Data source: administrative source.

UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Azerbaijan Data source: residence permits. Country: Belarus Data source: administrative source. Country: Georgia Data source: civil register. Country: Kyrgyzstan Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation Data source: administrative source. Country: Ukraine Data source: administrative source.

The UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA), established with the purpose of improving the understanding of migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Azerbaijan Data source: residence permits. Country: Belarus Data source: residence permits. Country: Moldova, Republic of Data source: population register. Country: Tajikistan Disaggregation by sex is only available for people who immigrated for work purposes. Data source: work permits.

Le taux de chômage représente le nombre de personnes au chômage exprimé en pourcentage de la main-d'>uvre (c>est-à-dire, les personnes en emploi et les personnes au chômage). Les chômeurs comprennent toutes les personnes qui se trouvent: a) sans travail pendant la période de référence, c'est-à-dire pas en emploi ni salarié ni non salarié; b) disponibles pour travailler dans un emploi salarié ou non salarié durant la période de référence; et c) à la recherche d'un travail, c'est-à-dire ayant pris des dispositions spécifiques au cours d'une période récente spécifiée pour chercher un emploi salarié ou non salarié. Pour plus d'informations, veuillez vous référer au Repositoire de Métadonnées sur les Indicateurs des ODD (https://unstats.un.org/sdgs/metadata/) ou à la description de l'indicateur sur ILOSTAT.

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série comprend uniquement les pays pour lesquels les définitions de la 19e CIST sont appliquées. Le taux de chômage représente le nombre de personnes au chômage exprimé en pourcentage de la main-d'>uvre (c'est-à-dire, les personnes en emploi et les personnes au chômage). Les chômeurs comprennent toutes les personnes qui se trouvent: a) sans travail pendant la période de référence, c'est-à-dire pas en emploi ni salarié ni non salarié; b) disponibles pour travailler dans un emploi salarié ou non salarié durant la période de référence; et c) à la recherche d'un travail, c'est-à-dire ayant pris des dispositions spécifiques au cours d'une période récente spécifiée pour chercher un emploi salarié ou non salarié. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques du travail - 19e CIST (WORK).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Le taux de chômage représente le nombre de personnes au chômage exprimé en pourcentage de la main-d'>uvre (c'est-à-dire, les personnes en emploi et les personnes au chômage). Les chômeurs comprennent toutes les personnes qui se trouvent: a) sans travail pendant la période de référence, c'est-à-dire pas en emploi ni salarié ni non salarié; b) disponibles pour travailler dans un emploi salarié ou non salarié durant la période de référence; et c) à la recherche d'un travail, c'est-à-dire ayant pris des dispositions spécifiques au cours d'une période récente spécifiée pour chercher un emploi salarié ou non salarié. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série comprend uniquement les pays pour lesquels les définitions de la 19e CIST sont appliquées. Le taux de participation dans la main-d'oeuvre exprimée en pourcentage de la population en âge de travailler. La main-d'oeuvre est la somme de toutes les personnes en âge de travailler qui sont employées et celles qui sont au chômage. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques du travail - 19e CIST (WORK).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Le taux de participation dans la main-d'oeuvre exprimée en pourcentage de la population en âge de travailler. La main-d'oeuvre est la somme de toutes les personnes en âge de travailler qui sont employées et celles qui sont au chômage. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série comprend uniquement les pays pour lesquels les définitions de la 19e CIST sont appliquées. Cet indicateur transmet le nombre de personnes en âge de travailler hors main-d'oeuvre (c'est-à-dire, qui n'étaient ni pourvues d'un emploi ni au chômage) exprimé en pourcentage de la population en âge de travailler. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques du travail - 19e CIST (WORK).

Dans le but de promouvoir la comparabilité internationale, les statistiques présentées sur ILOSTAT sont basées sur des définitions internationales standard dans la mesure du possible et peuvent différer des chiffres nationaux officiels. Cette série est basée sur les définitions de la 13e CIST. Pour la comparabilité des séries chronologiques, elle inclut les pays qui ont mis en >uvre les normes de la 19e CIST, pour lesquels des données sont également disponibles dans la base de données Statistiques du travail -- 19e CIST (WORK). Cet indicateur transmet le nombre de personnes en âge de travailler hors main-d'oeuvre (c'est-à-dire, qui n'étaient ni pourvues d'un emploi ni au chômage) exprimé en pourcentage de la population en âge de travailler. Pour plus d'informations, reportez-vous à la description de la base de données Statistiques sur la main-d'oeuvre (LFS et STLFS).

The U. S. Environmental Protection Agency (EPA) has provided a scale called the Air Quality Index (AQI) for rating air quality. This scale is based on the National Ambient Air Quality Standards (NAAQS) and is described in the Code of Federal Regulations, Part 58, Appendix G. This report is based on the AQI standards. More information on the AQI can be found on the EPA's AirNow web site.

The Texas Education Agency (TEA) prepares data and reports related to college admissions testing, including SAT and ACT, in Texas public schools. Note: Data collected using average of all district & regions. https://rptsvr1.tea.texas.gov/acctres/satact/2015/sat_act_glossary_class_2015.html  

By 2030, at least 60 percent of Texans ages 25-34 will have a certificate or degree The 60x30TX (“60 by 30 Tex”) higher education strategic plan contains four broad goals. Each goal contains a set of targets that will move the state toward reaching one or more goals. Many stakeholders across Texas will need to develop and implement a wide range of strategies to meet each target.

Texas Primary Care Physicians & Psychiatrists by Health Region. Table 28: Infant, Neonatal, Fetal, Perinatal, and Maternal Deaths by Public Health Region, County and City of Residence Texas  (Rates, Ratios Per 1,000 Live Births).

Rail Intermodal Keeps America Moving Containers accounted for 44 percent of intermodal volume in 1990, 69 percent in 2000, and a record 91 percent in 2016. Unlike trailers, containers can be “double stacked,” sharply increasing productivity and helping to ensure that there is sufficient traffic density to keep rail intermodal cost competitive with all truck movements. Containers can also be easily transferred to and from ships and trucks, further enhancing productivity. Source: AAR analysis of 2018 STB Waybill Sample

A medical career starts with finding the program that best fits your needs. With the U.S. News rankings of the top medical schools for research, narrow your search by location, tuition, school size and test scores.

Seychelles Tourist Arrivals by Country of Residence, Mode of Transport and Purpose of Visit

The data or facts (facts are more than mere bragging) help to understand situation,How’s the economy? What about taxes? Debt? Personal wages? in Texas as compare to other Economy which help policymakers and taxpayers to make better policies and investment for future of Texas. The Comptroller of Public Accounts, Texas forecasts revenue for the state, making it vitally important that keep a finger on the pulse of the economy. Third-party sources compiled the source data for these rankings; our office has not independently verified the data. The Comptroller does not control or guarantee the accuracy, completeness or timeliness of any source data — provided as of the date indicated — or related website. When you access any third-party website, you will be leaving the Comptroller’s website.

Reporting of new Aggregate Case and Death Count data was discontinued on May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. According to the source, this dataset will receive a final update on June 1, 2023, to reconcile historical data.

The taxes and other fees on retail gasoline and diesel fuel, in cents per gallon, as of January 1, 2023   Federal taxes include excises taxes of 18.3 cents per gallon on gasoline and 24.3 cents per gallon on diesel fuel, and a Leaking Underground Storage Tank fee of 0.1 cents per gallon on both fuels. State taxes include rates of general application including, but not limited to, excise taxes, environmental taxes, special taxes, and inspection fees, but exclude state taxes based on gross or net receipts. State taxes do not include county and local taxes. This information is for general informational purposes only. Sources: State and Territorial statutes and government agencies.

US Funding Awarded By State / Territory 

The Yearbook of Immigration Statistics is a compendium of tables that provides data on foreign nationals who, during a fiscal year, were granted lawful permanent residence (i.e., admitted as immigrants or became legal permanent residents), were admitted into the United States on a temporary basis (e.g., tourists, students, or workers), applied for asylum or refugee status, or were naturalized.

These are  weekly  cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the US territories are collated and published weekly as numbered tables. Cases reported by state health departments to CDC for weekly publication are subject to the ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available.    TRANSLATE with xEnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian  TRANSLATE with COPY THE URL BELOW BackEMBED THE SNIPPET BELOW IN YOUR SITEEnable collaborative features and customize widget: Bing Webmaster PortalBack

Data cited at:  Kauffman Indicators of Entrepreneurship Kauffman Indicators of Entrepreneurship The Kauffman Indicators of Entrepreneurship offers in-depth measures, reports, and accompanying interactive data visualizations that present entrepreneurial trends in the United States.

Active Pilot - A pilot who holds a pilot certificate and a valid medical certificate (except for sport pilots). Airman - A pilot, mechanic, or other licensed aviation technician. The term refers to men and women. Airman Certificate - A document issued by the Administrator of the Federal Aviation Administration The Airman Certificate certifies that the holder complies with the regulations governing the capacity in which the certificate authorizes the holder to act as an airman in connection with an aircraft.

Hospitals across the country show a lot of variation when it comes to patient safety. Here, states are ranked based on the number of “A” hospitals they have compared to the total number of graded hospitals on the Fall 2020 Leapfrog Hospital Safety Grade. State rankings from Fall 2019 are also displayed.

Enrolled-Number of beneficiaries enrolled by contract in the state/county United States: Enrollment Data for Medicare Advantage.

Pedestrians Killed in Single Vehicle Crashes, by Vehicle Type and Initial Point of Impact - State : USA Pedestrians Killed, by Related Factors - State : USA

The National survey of Unbanked and Underbanked households is conducted biennially since 2009 and is administered in partnership with the U.S. Census Bureau. An estimated 4.5 percent of U.S. households (approximately 5.9 million) were “unbanked” in 2021.

The Volunteering and Civic Life Supplement questions were asked for randomly selected household members age 16 years old or older. Data are provided on participation in volunteer activities. Data are also provided on interactions with family, friends, neighbors, and people from other backgrounds; political engagement; group membership and participation. 

US Fiscal Stability Report (Fiscal Year)

This dataset aggregated sum for below mentioned datasets. https://knoema.com/USFLSMGS2021/ https://knoema.com/USINGRS2021/ https://knoema.com/USIAGRS2021/ https://knoema.com/MOGFR2021/ https://knoema.com/USMIGS2021/ https://knoema.com/USMSGGR2021/ https://knoema.com/USNJDGEGRS2021/ https://knoema.com/USOKGHR2021/ https://knoema.com/USWVVLSW2021/ https://knoema.com/USMOGFS2021/ https://knoema.com/USILTRI2021/ https://knoema.com/USKSLGFR2021/ https://knoema.com/USMECRS2021/ https://knoema.com/USNYCGS2021/ https://knoema.com/USMOGR2021/ https://knoema.com/UAPASRS2021/ https://knoema.com/UAPASIGRS2021/ https://knoema.com/USPATGRS2021/ The aggregation calculated by sum of each states casino Total Revenue.

Estimates on the use of water, sanitation and hygiene by country (2000-2020)

World Health Organization 2023 data.who.int, WHO Coronavirus (COVID-19) dashboard > Data [Dashboard]. https://data.who.int/dashboards/covid19/data

Vineyard acreage is based on United Nations Food & Agriculture Organization (FAO) data, Eurostat data and estimates and reports from individual countries. It includes vineyards used for the production of wine variety grapes, raisin variety grapes, table grapes (for the fresh market) and juice grapes (for the production of grape juice and grape juice concentrate). Wine consumption includes data for 225 countries during the period 2011-2014. Consumption has been estimated by TDA by aggregating the exports of the major wine producing countries to each individual country. The aggregation includes 41 countries including the EU 28, Argentina, Australia, Canada, China, Chile, Hong Kong, New Zealand, Singapore, South Africa, South Korea, Ukraine, United States, and Uruguay. The November 2015 revision pertains to Sweden. Wine production quantity indicated for China does not include the production of Chinese yellow wine; quantity indicated for Japan does not include the production of Sake; quantity indicated for Korea does not include the production of fruit wine and rice wine.