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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.
Water 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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Description: This dataset contains historical economic data spanning from 1871 to 2024, used in Jaouad Karfali’s research on Economic Cycle Analysis with Numerical Time Cycles. The study aims to improve economic forecasting accuracy through the 9-year cycle model, which demonstrates superior predictive capabilities compared to traditional economic indicators.
Dataset Contents: The dataset includes a comprehensive range of economic indicators used in the research, such as:
USGDP_1871-2024.csv – U.S. Gross Domestic Product (GDP) data. USCPI_cleaned.csv – U.S. Consumer Price Index (CPI), cleaned and processed. USWAGE_1871-2024.csv – U.S. average wages data. EXCHANGEGLOBAL_cleaned.csv – Global exchange rates for the U.S. dollar. EXCHANGEPOUND_cleaned.csv – U.S. dollar to British pound exchange rates. INTERESTRATE_1871-2024.csv – U.S. interest rate data. UNRATE.csv – U.S. unemployment rate statistics. POPTOTUSA647NWDB.csv – U.S. total population data. Significance of the Data: This dataset serves as a foundation for a robust economic analysis of the U.S. economy over multiple decades. It was instrumental in testing the 9-year economic cycle model, which demonstrated an 85% accuracy rate in economic forecasting when compared to traditional models such as ARIMA and VAR.
Applications:
Economic Forecasting: Predicts a 1.5% decline in GDP in 2025, followed by a gradual recovery between 2026-2034. Economic Stability Analysis: Used for comparing forecasts with estimates from institutions like the IMF and World Bank. Academic and Institutional Research: Supports studies in economic cycles and long-term forecasting. Source & Further Information: For more details on the methodology and research findings, refer to the full paper published on SSRN:
https://ssrn.com/author=7429208 https://orcid.org/0009-0002-9626-7289
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United States Avg Days on Market: sa: Single-Family: Raleigh, NC data was reported at 58.400 Day in Jul 2020. This records a decrease from the previous number of 58.498 Day for Jun 2020. United States Avg Days on Market: sa: Single-Family: Raleigh, NC data is updated monthly, averaging 64.178 Day from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 122.366 Day in Mar 2012 and a record low of 53.353 Day in Jan 2018. United States Avg Days on Market: sa: Single-Family: Raleigh, NC data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB007: Average Days on Market: by Metropolitan Areas: Seasonally Adjusted.
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Graph and download economic data for Noncyclical Rate of Unemployment (NROU) from Q1 1949 to Q4 2035 about NAIRU, long-term, projection, unemployment, rate, and USA.
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Graph and download economic data for Shares of gross domestic product: Exports of goods (A253RE1Q156NBEA) from Q1 1947 to Q1 2025 about Shares of GDP, exports, goods, GDP, and USA.
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United States Avg Days on Market: sa: Single-Family: Cleveland, OH data was reported at 39.826 Day in Jul 2020. This records a decrease from the previous number of 42.064 Day for Jun 2020. United States Avg Days on Market: sa: Single-Family: Cleveland, OH data is updated monthly, averaging 70.338 Day from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 128.423 Day in Apr 2012 and a record low of 39.826 Day in Jul 2020. United States Avg Days on Market: sa: Single-Family: Cleveland, OH data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB007: Average Days on Market: by Metropolitan Areas: Seasonally Adjusted.
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Graph and download economic data for Infra-Annual Labor Statistics: Inactivity Rate Total: 15 Years or over for United States (LRINTTTTUSQ156S) from Q1 1975 to Q1 2025 about 15 years +, participation, labor force, labor, rate, and USA.
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United States Avg Days on Market: sa: Condo/Co-op: Austin, TX data was reported at 29.314 Day in Jul 2020. This records a decrease from the previous number of 38.842 Day for Jun 2020. United States Avg Days on Market: sa: Condo/Co-op: Austin, TX data is updated monthly, averaging 28.615 Day from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 75.910 Day in Feb 2012 and a record low of 18.494 Day in Aug 2014. United States Avg Days on Market: sa: Condo/Co-op: Austin, TX data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB007: Average Days on Market: by Metropolitan Areas: Seasonally Adjusted.
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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 Avg Days on Market: sa: Single-Family: Santa Maria, CA data was reported at 54.138 Day in Jul 2020. This records a decrease from the previous number of 56.224 Day for Jun 2020. United States Avg Days on Market: sa: Single-Family: Santa Maria, CA data is updated monthly, averaging 63.781 Day from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 138.862 Day in Mar 2012 and a record low of 30.586 Day in Feb 2014. United States Avg Days on Market: sa: Single-Family: Santa Maria, CA data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB007: Average Days on Market: by Metropolitan Areas: Seasonally Adjusted.
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United States CSI: Expected Inflation: Next Yr: Standard Deviation data was reported at 2.900 % in May 2018. This records a decrease from the previous number of 3.100 % for Apr 2018. United States CSI: Expected Inflation: Next Yr: Standard Deviation data is updated monthly, averaging 4.800 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 11.500 % in Apr 1980 and a record low of 2.700 % in Apr 1999. United States CSI: Expected Inflation: Next Yr: Standard Deviation data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The questions were: 'During the next 12 months, do you think that prices in general will go up, or go down, or stay where they are now?' and 'By what percent do you expect prices to go up, on the average, during the next 12 months?'
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United States Avg Days on Market: sa: Single-Family: Marion, NC data was reported at 79.000 Day in Jul 2020. This records a decrease from the previous number of 81.000 Day for Jun 2020. United States Avg Days on Market: sa: Single-Family: Marion, NC data is updated monthly, averaging 100.500 Day from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 212.000 Day in Mar 2015 and a record low of 44.000 Day in Feb 2018. United States Avg Days on Market: sa: Single-Family: Marion, NC data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB007: Average Days on Market: by Metropolitan Areas: Seasonally Adjusted.
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United States Avg Weekly Earnings: sa: Mfg: NG: Bakeries & Tortilla Mfg: NG data was reported at 688.320 USD in May 2018. This records a decrease from the previous number of 697.880 USD for Apr 2018. United States Avg Weekly Earnings: sa: Mfg: NG: Bakeries & Tortilla Mfg: NG data is updated monthly, averaging 616.350 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 697.880 USD in Apr 2018 and a record low of 547.710 USD in Mar 2006. United States Avg Weekly Earnings: sa: Mfg: NG: Bakeries & Tortilla Mfg: NG data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G033: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Seasonally Adjusted.
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United States Avg Days on Market: Condo/Co-op: Oshkosh, WI data was reported at 57.000 Day in Jul 2020. This records an increase from the previous number of 56.000 Day for Jun 2020. United States Avg Days on Market: Condo/Co-op: Oshkosh, WI data is updated monthly, averaging 74.000 Day from Nov 2014 (Median) to Jul 2020, with 69 observations. The data reached an all-time high of 234.000 Day in Feb 2020 and a record low of 44.000 Day in Sep 2018. United States Avg Days on Market: Condo/Co-op: Oshkosh, WI data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB006: Average Days on Market: by Metropolitan Areas.
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United States GFCF: saar: Financial Business data was reported at 264.719 USD bn in Mar 2018. This records an increase from the previous number of 259.972 USD bn for Dec 2017. United States GFCF: saar: Financial Business data is updated quarterly, averaging 61.105 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 264.719 USD bn in Mar 2018 and a record low of 0.871 USD bn in Sep 1952. United States GFCF: saar: Financial Business 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 Avg Days on Market: sa: Condo/Co-op: Jackson, MI data was reported at 132.000 Day in May 2020. This records an increase from the previous number of 118.000 Day for Apr 2020. United States Avg Days on Market: sa: Condo/Co-op: Jackson, MI data is updated monthly, averaging 62.000 Day from Feb 2012 (Median) to May 2020, with 100 observations. The data reached an all-time high of 873.000 Day in May 2012 and a record low of 3.000 Day in Dec 2014. United States Avg Days on Market: sa: Condo/Co-op: Jackson, MI data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB007: Average Days on Market: by Metropolitan Areas: Seasonally Adjusted.
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United States Avg Days on Market: Multi-Family: Rochester, MN data was reported at 34.000 Day in Jul 2020. This records a decrease from the previous number of 42.000 Day for Jun 2020. United States Avg Days on Market: Multi-Family: Rochester, MN data is updated monthly, averaging 96.000 Day from Feb 2012 (Median) to Jul 2020, with 96 observations. The data reached an all-time high of 1,825.000 Day in Jan 2013 and a record low of 13.000 Day in May 2020. United States Avg Days on Market: Multi-Family: Rochester, MN data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB006: Average Days on Market: by Metropolitan Areas.
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United States Avg Days on Market: sa: All Residential: Chicago, IL data was reported at 38.130 Day in Jul 2020. This records a decrease from the previous number of 40.718 Day for Jun 2020. United States Avg Days on Market: sa: All Residential: Chicago, IL data is updated monthly, averaging 46.533 Day from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 82.896 Day in Feb 2012 and a record low of 38.130 Day in Jul 2020. United States Avg Days on Market: sa: All Residential: Chicago, IL data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB007: Average Days on Market: by Metropolitan Areas: Seasonally Adjusted.
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United States Avg Weekly Earnings: sa: Mfg: NG: Cookies,Crackers,Pasta&Tortillas data was reported at 832.400 USD in May 2018. This records a decrease from the previous number of 849.760 USD for Apr 2018. United States Avg Weekly Earnings: sa: Mfg: NG: Cookies,Crackers,Pasta&Tortillas data is updated monthly, averaging 701.090 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 865.080 USD in Aug 2017 and a record low of 549.070 USD in Jun 2007. United States Avg Weekly Earnings: sa: Mfg: NG: Cookies,Crackers,Pasta&Tortillas data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G033: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Seasonally Adjusted.
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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.