United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

TThe ERS International Macroeconomic Data Set provides historical and projected data for 181 countries that account for more than 99 percent of the world economy. These data and projections are assembled explicitly to serve as underlying assumptions for the annual USDA agricultural supply and demand projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term, 10-year scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.

Explore the International Macroeconomic Data Set 2015 for annual growth rates, consumer price indices, real GDP per capita, exchange rates, and more. Get detailed projections and forecasts for countries worldwide.

Annual growth rates, Consumer price indices (CPI), Real GDP per capita, Real exchange rates, Population, GDP deflator, Real gross domestic product (GDP), Real GDP shares, GDP, projections, Forecast, Real Estate, Per capita, Deflator, share, Exchange Rates, CPI

Afghanistan, Albania, Algeria, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, Côte d'Ivoire, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Congo, Costa Rica, Croatia, Cuba, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Mauritania, Mauritius, Mexico, Moldova, Mongolia, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Norway, Oman, Pakistan, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Samoa, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, South Africa, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, Yemen, Zambia, Zimbabwe, WORLD Follow data.kapsarc.org for timely data to advance energy economics research. Notes:

Developed countries/1 Australia, New Zealand, Japan, Other Western Europe, European Union 27, North America

Developed countries less USA/2 Australia, New Zealand, Japan, Other Western Europe, European Union 27, Canada

Developing countries/3 Africa, Middle East, Other Oceania, Asia less Japan, Latin America;

Low-income developing countries/4 Haiti, Afghanistan, Nepal, Benin, Burkina Faso, Burundi, Central African Republic, Chad, Democratic Republic of Congo, Eritrea, Ethiopia, Gambia, Guinea, Guinea-Bissau, Liberia, Madagascar, Malawi, Mali, Mozambique, Niger, Rwanda, Senegal, Sierra Leone, Somalia, Tanzania, Togo, Uganda, Zimbabwe;

Emerging markets/5 Mexico, Brazil, Chile, Czech Republic, Hungary, Poland, Slovakia, Russia, China, India, Korea, Taiwan, Indonesia, Malaysia, Philippines, Thailand, Vietnam, Singapore

BRIICs/5 Brazil, Russia, India, Indonesia, China; Former Centrally Planned Economies

Former centrally planned economies/7 Cyprus, Malta, Recently acceded countries, Other Central Europe, Former Soviet Union

USMCA/8 Canada, Mexico, United States

Europe and Central Asia/9 Europe, Former Soviet Union

Middle East and North Africa/10 Middle East and North Africa

Other Southeast Asia outlook/11 Malaysia, Philippines, Thailand, Vietnam

Other South America outlook/12 Chile, Colombia, Peru, Bolivia, Paraguay, Uruguay

Indicator Source

Real gross domestic product (GDP) World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service all converted to a 2015 base year.

Real GDP per capita U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table and Population table.

GDP deflator World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

Real GDP shares U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table.

Real exchange rates U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, CPI table, and Nominal XR and Trade Weights tables developed by the Economic Research Service.

Consumer price indices (CPI) International Financial Statistics International Monetary Fund, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

Population Department of Commerce, Bureau of the Census, U.S. Department of Agriculture, Economic Research Service, International Data Base.

The median age indicates the age separating the population group into two halves of equal size.

United States CPI U: Northeast: Size Class B/C data was reported at 156.752 Dec1996=100 in Oct 2018. This records a decrease from the previous number of 156.961 Dec1996=100 for Sep 2018. United States CPI U: Northeast: Size Class B/C data is updated monthly, averaging 132.049 Dec1996=100 from Dec 1996 (Median) to Oct 2018, with 263 observations. The data reached an all-time high of 157.350 Dec1996=100 in Aug 2018 and a record low of 100.000 Dec1996=100 in Jan 1997. United States CPI U: Northeast: Size Class B/C data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I014: Consumer Price Index: Urban: By Region. All metropolitan areas with population smaller than 1.5 million

Denton economic data from the American Community Survey (ACS)

In 2024, the finance, real estate, insurance, rental, and leasing industry added the most value to the GDP of the United States. In that year, this industry added 6.2 trillion U.S. dollars to the national GDP. Gross Domestic Product Gross domestic product is a measure of how much a country produces in a certain amount of time. Countries with a high GDP tend to have large economies, for example, the United States. However, GDP does not take into consideration the cost of living and inflation rates, so it is not a good measure of the standard of living. GDP per capita at purchasing power parity is thought to be more reflective of living conditions within a particular country. U.S. GDP California added the largest amount of value to the real GDP of the U.S. in 2022. California was followed by Texas and New York. In California, the professional and business services industry was the most valuable to GDP in 2022. In New York, the finance, insurance, real estate, rental, and leasing industry added the most value to the state GDP. While the business sector added the highest value to the U.S. real GDP in 2021, it was the information industry that had the biggest percentage change in value added to the GDP between 2010 and 2021.

【リソース】Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Nominal Gross Domestic Product (original series) (csv:28KB) / GDP (expenditure approach) and its components / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Annual Nominal GDP (fiscal year) (csv:8KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Nominal Gross Domestic Product (seasonally adjusted series) (csv:29KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Annual Nominal GDP (calendar year) (csv:8KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Real Gross Domestic Product (original series) (csv:31KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Annual Real GDP (fiscal year) (csv:9KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Real Gross Domestic Product (seasonally adjusted series) (csv:32KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Annual Real GDP (calendar year) (csv:9KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Changes from the previous year (at current prices: original series) (csv:14KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Changes from the previous year (at current prices: fiscal year) (csv:5KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Changes from the previous quarter (at current prices: seasonally adjusted series) (csv:14KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Changes from the previous year (at current prices: calendar year) (csv:4KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Changes from the previous year (at chained (2011) prices: original series) (csv:15KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Changes from the previous year (at chained (2011) prices: fiscal year) (csv:5KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Changes from the previous quarter (at chained (2011) prices: seasonally adjusted series) (csv:15KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Changes from the previous year (at chained (2011) prices: calendar year) (csv:4KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Annualized rate of changes from the previous quarter (at current prices: seasonally adjusted series) (csv:13KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Annualized rate of changes from the previous quarter (at chained (2011) prices: seasonally adjusted series) (csv:13KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Contributions to Changes in Nominal GDP (original series) (csv:15KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Contributions to Changes in Annual Nominal GDP (fiscal year) (csv:5KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Contributions to Changes in Nominal GDP (seasonally adjusted series) (csv:15KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Contributions to Changes in Annual Nominal GDP (calendar year) (csv:5KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Contributions to Changes in Real GDP (original series) (csv:15KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Contributions to Changes in Annual Real GDP (fiscal year) (csv:6KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Contributions to Changes in Real GDP (seasonally adjusted series) (csv:16KB) / Quarterly Estimates of GDP Apr.-Jun. 2018 (The 2nd Preliminary) : GDP (expenditure approach) and its components : Contributions to Changes in Annual Real GDP (calendar Year) (csv:5KB) / Quarterly Estimates of GDP

Laos LA: Domestic General Government Health Expenditure: % of GDP data was reported at 0.988 % in 2015. This records an increase from the previous number of 0.765 % for 2014. Laos LA: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 0.843 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 1.539 % in 2001 and a record low of 0.408 % in 2011. Laos LA: Domestic General Government Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of the economy as measured by GDP.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;

This dataset provides information about the number of properties, residents, and average property values for Economy Road cross streets in Economy, IN.

In 2024, the growth of the real gross domestic product (GDP) in Argentina stood at -1.34 percent. Between 1980 and 2024, the figure dropped by 2.04 percentage points, though the decline followed an uneven course rather than a steady trajectory. From 2024 to 2030, the growth will rise by 4.55 percentage points, showing an overall upward trend with periodic ups and downs.This indicator describes the annual change in the gross domestic product at constant prices, expressed in national currency units. Here the gross domestic product represents the total value of the final goods and services produced during a year.

To collect data on an angler's last trip for revealed preference models and economic valuation purposes. Typically done as an add-on to the MRIP intercept survey and done as needed, periodically

The combined gross domestic product (GDP) of the G7 countries was estimated to reach nearly 50 trillion U.S. dollars in 2024. The United States accounted for 25 trillion of these, meaning that they stood for over half of the G7's combined GDP. Germany had the second highest GDP of the G7.

Categorized library statistical reports for the population group of 100,001 to 250,000.

Merchandise imports from low- and middle-income economies within region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in the same World Bank region according to the World Bank classification of economies. Data are as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. No figures are shown for high-income economies, because they are a separate category in the World Bank classification of economies.

Characteristics of persons in low income families by low income lines.

Sweden export data: Discover how this Nordic powerhouse fuels economy via machinery, vehicles, pharmaceuticals, and paper exports.

Poland Number of National Economy Entities: Registered: Natural Persons Conducting Economic Activity data was reported at 3,081,190.000 Unit in Sep 2018. This records an increase from the previous number of 3,043,282.000 Unit for Jun 2018. Poland Number of National Economy Entities: Registered: Natural Persons Conducting Economic Activity data is updated quarterly, averaging 2,871,457.000 Unit from Sep 2002 (Median) to Sep 2018, with 65 observations. The data reached an all-time high of 3,081,190.000 Unit in Sep 2018 and a record low of 2,677,537.000 Unit in Sep 2002. Poland Number of National Economy Entities: Registered: Natural Persons Conducting Economic Activity data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Poland – Table PL.O013: Number of Economic Entities: Registered: by Ownership and Legal Form.

Claims on other sectors of the domestic economy (% of GDP) in Belarus was reported at 46.48 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Belarus - Claims on other sectors of the domestic economy (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Financial overview and grant giving statistics of Milwaukee Economic Development Corp