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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.
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TwitterIn 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.
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United States SBP: RE: CashonHand will Currently Cover: 3 or More Business Mo data was reported at 36.000 % in 04 Oct 2020. This records a decrease from the previous number of 36.400 % for 27 Sep 2020. United States SBP: RE: CashonHand will Currently Cover: 3 or More Business Mo data is updated weekly, averaging 34.700 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 39.100 % in 16 Aug 2020 and a record low of 24.700 % in 03 May 2020. United States SBP: RE: CashonHand will Currently Cover: 3 or More Business Mo data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S036: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).
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United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data was reported at 46.000 % in 29 Oct 2024. This stayed constant from the previous number of 46.000 % for 22 Oct 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data is updated weekly, averaging 43.000 % from May 2023 (Median) to 29 Oct 2024, with 61 observations. The data reached an all-time high of 46.000 % in 29 Oct 2024 and a record low of 38.000 % in 31 Oct 2023. United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data remains active status in CEIC and is reported by YouGov PLC. The data is categorized under Global Database’s United States – Table US.PR004: The Economist YouGov Polls: 2024 Presidential Election (Discontinued). If an election for president were going to be held now and the Democratic nominee was Joe Biden and the Republican nominee was Donald Trump, would you vote for...
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TwitterTThe 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.
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Graph and download economic data for Gross Domestic Product: Real Estate (531) in the United States (USREALNGSP) from 1997 to 2024 about leases, real estate, rent, finance, insurance, GSP, private industries, private, industry, GDP, and USA.
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United States SBP: OS: Cash on Hand will Currently Cover: 1-2 Business Weeks data was reported at 11.000 % in 04 Oct 2020. This records an increase from the previous number of 10.100 % for 27 Sep 2020. United States SBP: OS: Cash on Hand will Currently Cover: 1-2 Business Weeks data is updated weekly, averaging 10.850 % from Apr 2020 to 04 Oct 2020, with 18 observations. The data reached an all-time high of 17.700 % in 26 Apr 2020 and a record low of 8.700 % in 17 May 2020. United States SBP: OS: Cash on Hand will Currently Cover: 1-2 Business Weeks data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S023: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).
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TwitterWater provides society with economic benefits that increasingly involve tradeoffs, making accounting for water quality, quantity, and their corresponding economic productivity more relevant in our interconnected world. In the past, physical and economic data about water have been fragmented, but integration is becoming more widely adopted internationally through application of the System of Environmental-Economic Accounts for Water (SEEA-Water), which enables the tracking of linkages between water and the economy over time and across scales. In this paper, we present the first national and subnational SEEA-Water accounts for the United States. We compile accounts for: (1) physical supply and use of water, (2) water productivity, (3) water quality, and (4) water emissions. These cover state and national levels for roughly the years 2000 to 2015. The results illustrate broad aggregate trends as well as subnational or industry-level phenomena. Specifically, the accounts show that total U.S. water use declined by 22% from 2000 to 2015, continuing a national trend seen since 1980. Total water use fell in 44 states, though groundwater use increased in 21 states. Nationally, a larger percent of water use comes from groundwater than at any time since 1950. Reductions in water use, combined with economic growth, lead to increases in water productivity for the entire national economy (65%), mining (99%), and agriculture (68%), though substantial variation occurred among states. Surface-water quality trends for the years 2002 to 2012 were most evident at regional levels, and differ by water-quality constituent and region. Chloride, nitrate, and total dissolved solids levels in groundwater had more consistent and widespread water-quality declines nationally. This work provides a baseline of recent historical water resource trends and their value in the U.S., as well as roadmap for the completion of future accounts for water, a critical ecosystem service. Our work also aids in the interpretation of ecosystem accounts in the context of long-term trends in U.S. water resources.
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According to our latest research, the Global Nighttime Lights Economic Indicators market size was valued at $2.1 billion in 2024 and is projected to reach $7.8 billion by 2033, expanding at a robust CAGR of 15.2% during 2024–2033. One of the primary drivers fueling this remarkable growth is the increasing reliance on real-time, objective data for economic analysis and urban development, especially as satellite and remote sensing technologies become more accessible and sophisticated. Nighttime lights data, derived from satellite and aerial imagery, has emerged as a crucial proxy for economic activity, infrastructure development, and disaster response, empowering governments, financial institutions, and urban planners to make more informed decisions in an ever-evolving global landscape.
North America currently holds the largest share of the Nighttime Lights Economic Indicators market, accounting for approximately 38% of the global value in 2024. This dominance is attributed to the region’s mature technological infrastructure, strong investment in satellite and remote sensing capabilities, and a well-established ecosystem of data analytics firms. The United States, in particular, benefits from robust federal and state-level initiatives supporting geospatial data utilization for urban planning, economic forecasting, and disaster management. The presence of major space agencies and private satellite operators further enhances data availability and quality, enabling a wide spectrum of end-users, from government agencies to financial institutions, to leverage nighttime lights as a reliable economic indicator. Additionally, North America's advanced regulatory frameworks and public-private partnerships have fostered a climate ripe for innovation and early adoption of cutting-edge geospatial analytics solutions.
The Asia Pacific region is anticipated to be the fastest-growing market for Nighttime Lights Economic Indicators, with a projected CAGR of 18.7% from 2024 to 2033. This acceleration is driven by rapid urbanization, burgeoning smart city initiatives, and significant investments in satellite and remote sensing technologies across countries such as China, India, and Japan. Governments and urban planners in the region are increasingly leveraging nighttime lights data to address challenges related to infrastructure development, population migration, and environmental monitoring. The proliferation of low-cost satellite launches and the expansion of national space programs have democratized access to high-resolution imagery, while regional collaborations and public-private partnerships are catalyzing the integration of geospatial analytics into mainstream economic planning. Furthermore, the Asia Pacific’s growing research community and technology startups are contributing to the development of innovative applications, further propelling market growth.
Emerging economies in Latin America, the Middle East, and Africa are gradually embracing Nighttime Lights Economic Indicators, although adoption is tempered by challenges such as limited technical expertise, data accessibility issues, and inconsistent regulatory support. Nevertheless, there is a growing recognition of the value that satellite-derived economic indicators can bring to addressing localized challenges such as informal settlements, disaster response, and resource allocation. In Africa, for instance, nighttime lights data is increasingly used to monitor electrification progress and urban expansion. Latin American countries are leveraging such indicators for disaster management and urban planning, particularly in regions prone to natural calamities. While these regions currently account for a smaller share of the global market, targeted policy reforms, international collaborations, and investments in capacity building are expected to accelerate adoption, bridging the gap between developed and developing markets.
| Attributes | Details |
| Report Title | Nighttime Lights Economic Indicators Market Research Repo |
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TwitterGermany’s GDP per capita stood at almost 54,989.76 U.S. dollars in 2024. Germany ranked among the top 20 countries worldwide with the highest GDP per capita in 2021 – Luxembourg, Ireland and Switzerland were ranked the top three nations. Rising annual income in Germany The average annual wage in Germany has increased by around 5,000 euros since 2000, reaching in excess of 39,000 euros in 2016. Germany had the tenth-highest average annual wage among selected European Union countries in 2017, ranking between France and the United Kingdom. Growing employment More than two thirds of the working population in Germany are employed in the service sector, which generated the greatest share of the country’s GDP in 2018. Unemployment in Germany soared to its highest level in decades in 2005, but the rate has since dropped to below 3.5 percent. The youth unemployment rate in Germany has more than halved since 2005 and currently stands around 6.5 percent.
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Graph and download economic data for Noncyclical Rate of Unemployment (NROU) from Q1 1949 to Q4 2035 about NAIRU, projection, long-term, unemployment, rate, and USA.
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United States SBP: TW: Cash on Hand will Currently Cover: 3-4 Business Weeks data was reported at 16.100 % in 04 Oct 2020. This records an increase from the previous number of 14.000 % for 27 Sep 2020. United States SBP: TW: Cash on Hand will Currently Cover: 3-4 Business Weeks data is updated weekly, averaging 16.650 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 20.000 % in 10 May 2020 and a record low of 14.000 % in 27 Sep 2020. United States SBP: TW: Cash on Hand will Currently Cover: 3-4 Business Weeks data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S036: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).
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View yearly updates and historical trends for US Personal Savings Rate. from United States. Source: Bureau of Economic Analysis. Track economic data with …
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United States US: GDP: USD: Gross National Income data was reported at 19,607.598 USD bn in 2017. This records an increase from the previous number of 18,968.714 USD bn for 2016. United States US: GDP: USD: Gross National Income data is updated yearly, averaging 5,447.032 USD bn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 19,607.598 USD bn in 2017 and a record low of 546.400 USD bn in 1960. United States US: GDP: USD: Gross National Income 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: Nominal. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total;
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United States SBP: WT: Cash on Hand will Currently Cover: Number Cash Available data was reported at 4.200 % in 04 Oct 2020. This records an increase from the previous number of 3.500 % for 27 Sep 2020. United States SBP: WT: Cash on Hand will Currently Cover: Number Cash Available data is updated weekly, averaging 3.200 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 4.400 % in 26 Apr 2020 and a record low of 2.100 % in 21 Jun 2020. United States SBP: WT: Cash on Hand will Currently Cover: Number Cash Available data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S036: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).
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United States NLB: saar: Capital Account: Addendum: Rest of the World data was reported at 569.211 USD bn in Mar 2018. This records an increase from the previous number of 524.026 USD bn for Dec 2017. United States NLB: saar: Capital Account: Addendum: Rest of the World data is updated quarterly, averaging 43.283 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 859.012 USD bn in Sep 2006 and a record low of -42.129 USD bn in Mar 1991. United States NLB: saar: Capital Account: Addendum: Rest of the World data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB074: Integrated Macroeconomic Accounts: Total Economy and Sectors: Selected Aggregates.
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United States Fed Govt Outlays: Mandatory & Net Interest (MI): as % of GDP data was reported at 16.400 % in 2023. This records a decrease from the previous number of 18.200 % for 2022. United States Fed Govt Outlays: Mandatory & Net Interest (MI): as % of GDP data is updated yearly, averaging 11.950 % from Sep 1962 (Median) to 2023, with 62 observations. The data reached an all-time high of 23.100 % in 2020 and a record low of 5.700 % in 1966. United States Fed Govt Outlays: Mandatory & Net Interest (MI): as % of GDP data remains active status in CEIC and is reported by Office of Management and Budget. The data is categorized under Global Database’s United States – Table US.F006: Federal Government Receipts and Outlays: Annual.
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United States US: Trade Balance: Emerging and Developing Economies: Western Hemisphere: Montserrat data was reported at 7.236 USD mn in 2017. This records an increase from the previous number of 1.944 USD mn for 2016. United States US: Trade Balance: Emerging and Developing Economies: Western Hemisphere: Montserrat data is updated yearly, averaging 4.590 USD mn from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 7.236 USD mn in 2017 and a record low of 1.944 USD mn in 2016. United States US: Trade Balance: Emerging and Developing Economies: Western Hemisphere: Montserrat data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s USA – Table US.IMF.DOT: Trade Balance: by Country: Annual.
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United States US: Trade Balance: Advanced Economies: China, People Republic: Hong Kong data was reported at 9.232 USD bn in Mar 2018. This records an increase from the previous number of 8.151 USD bn for Dec 2017. United States US: Trade Balance: Advanced Economies: China, People Republic: Hong Kong data is updated quarterly, averaging -27.000 USD mn from Mar 1960 (Median) to Mar 2018, with 233 observations. The data reached an all-time high of 9.724 USD bn in Sep 2013 and a record low of -2.077 USD bn in Sep 1987. United States US: Trade Balance: Advanced Economies: China, People Republic: Hong Kong data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s USA – Table US.IMF.DOT: Trade Balance: by Country: Quarterly.
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US: Trade Balance: Advanced Economies: Sweden data was reported at -801.758 USD mn in May 2018. This records a decrease from the previous number of -708.584 USD mn for Apr 2018. US: Trade Balance: Advanced Economies: Sweden data is updated monthly, averaging -186.800 USD mn from Feb 1960 (Median) to May 2018, with 698 observations. The data reached an all-time high of 67.400 USD mn in Sep 1980 and a record low of -1.080 USD bn in Apr 2006. US: Trade Balance: Advanced Economies: Sweden data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s USA – Table US.IMF.DOT: Trade Balance: by Country: Monthly.
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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.