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.

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.

This paper analyzes the role of specialized high-skilled labor in the disproportionate growth of the service sector. Empirically, the importance of skill-intensive services has risen during a period of increasing relative wages and quantities of high-skilled labor. We develop a theory in which demand shifts toward more skill- intensive output as productivity rises, increasing the importance of market services relative to home production. Consistent with the data, the theory predicts a rising level of skill, skill premium, and relative price of services that is linked to this skill premium. (JEL J24, L80, L90)

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

• Jaouad Karfali

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;

Graph and download economic data for Shares of gross domestic product: Exports of goods (A253RE1Q156NBEA) from Q1 1947 to Q2 2025 about Shares of GDP, exports, goods, GDP, and USA.

Examining the most heavily cited publications in labor economics from the early 1990s, I show that few of over 3,000 articles, citing them directly, replicates them. They are replicated more frequently using data from other time periods and economies, so that the validity of their central ideas has typically been verified. This pattern of scholarship suggests, beyond the currently required depositing of data and code upon publication, that there is little need for formal mechanisms for replication. The market for scholarship already produces replications of non-laboratory applied research.

In 2023, the real gross domestic product (GDP) of Missouri increased by roughly 2.6 percent from the preceding year. 2021 saw significant GDP growth in the state as the economy rebounded from the COVID-19 pandemic. The GDP of the United States grew by 2.9 percent in 2023.

Denton economic data from the American Community Survey (ACS)

About this dataset

Context

The dataset tabulates the population of Economy by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Economy. The dataset can be utilized to understand the population distribution of Economy by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Economy. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Economy.

Key observations

Largest age group (population): Male # 65-69 years (412) | Female # 60-64 years (490). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Economy population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Economy is shown in the following column.
• Population (Female): The female population in the Economy is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Economy for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Economy Population by Gender. You can refer the same here

Graph and download economic data for Gross Domestic Product: Real Estate (531) in the United States (USREALNGSP) from 1997 to 2023 about leases, finance, insurance, rent, real estate, GSP, private industries, private, industry, GDP, and USA.

About this dataset

Context

The dataset tabulates the Economy population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Economy across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Economy was 8,962, a 0.18% decrease year-by-year from 2022. Previously, in 2022, Economy population was 8,978, a decline of 0.74% compared to a population of 9,045 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Economy decreased by 452. In this period, the peak population was 9,414 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Economy is shown in this column.
• Year on Year Change: This column displays the change in Economy population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Economy Population by Year. You can refer the same here

The project will produce a valuation function that depends on factors related to Steller sea lion (SSL) protection measures, and may include some combination of the expected aggregate size of the population and improvements to the ESA listing status resulting from protection measures, cost of the protection measures, and effects of protection measures on local economies, fishery participants, and consumer fish prices. This function can be used to identify non-consumptive use values for SSLs and how these values are affected by protection measures, thereby providing valuable information to policy makers.

United States MDI: IC: Asian or Pacific Islander American data was reported at 73.000 Number in 2018. This records a decrease from the previous number of 76.000 Number for 2017. United States MDI: IC: Asian or Pacific Islander American data is updated yearly, averaging 80.000 Number from Dec 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 99.000 Number in 2010 and a record low of 67.000 Number in 2003. United States MDI: IC: Asian or Pacific Islander American data remains active status in CEIC and is reported by Federal Deposit Insurance Corporation. The data is categorized under Global Database’s United States – Table US.KB070: Minority Depository Institutions: Annual.

This statistic shows the distribution of land in U.S. farms in 2023, by economic sales class. In 2024, 11.4 percent of U.S. farmland belonged to farms categorized in the 100,000 to 249,999 U.S. dollars sales class.

Recently in economics there has been discussion of how to increase diversity in the profession and how to improve the work life of diverse peoples. We conducted surveys and interviews with Black, Latinx and Native American people, groups long underrepresented in the economics profession. Participants, at various stages along the economics career trajectory or on the trajectory no longer, used their lived experience to reflect on what helps and hurts underrepresented minorities in economics. We heard a few consistent themes, bias, hostile climate, and the lack of information and good mentoring among them. Respondents’ insights and experience point toward action steps that you can take today to increase the presence and improve the work life of unrepresented minorities in the economics profession.

Table NameArts, Entertainment, and Recreation: Subject Series: Product Lines: Product Lines Statistics by Industry for the U.S. and States: 2012ReleaseScheduleThe data in this file are scheduled for release in March 2016.Key TableInformationThese data supersede preliminary data released in the Industry Series Product Lines file for Arts, Entertainment, and Recreation (Sector 71) from the 2012 Economic Census. See Methodology. for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Arts, Entertainment, and Recreation (Sector 71).GeographyCoverageThe data are shown at the United States and State levels.IndustryCoverageThe data are shown for 2- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:. Number and total receipts/revenue of establishments with the product line. Product line receipts/revenue. Product line receipts/revenue as a percent of total receipts/revenue of establishments with the product line and of all establishments. Receipts/Revenue of establishments reporting product line receipts/revenue as a percent of total receipts/revenueEach record includes a PSCODE code which represents a specific product line.FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector71/EC1271SLLS1.zip. ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..These data are final; they supersede data released in earlier data files. Includes only establishments of firms with payroll. See Table Notes for more information. Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Note: Statistics other than industry totals are based on a sample and, therefore, are subject to sampling error. No measure of that sampling error is provided..Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

Please ReadME file included

Denmark DK: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: American Samoa data was reported at 1.412 USD mn in 2017. This records an increase from the previous number of 0.651 USD mn for 2016. Denmark DK: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: American Samoa data is updated yearly, averaging 0.093 USD mn from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 1.412 USD mn in 2017 and a record low of -0.031 USD mn in 2015. Denmark DK: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: American Samoa data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Denmark – Table DK.IMF.DOT: Trade Balance: by Country: Annual.

Dominica DM: Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: American Samoa data was reported at 0.001 USD mn in 2017. This records a decrease from the previous number of 0.001 USD mn for 2016. Dominica DM: Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: American Samoa data is updated yearly, averaging 0.001 USD mn from Dec 1993 (Median) to 2017, with 19 observations. The data reached an all-time high of 0.007 USD mn in 1995 and a record low of 0.000 USD mn in 1994. Dominica DM: Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: American Samoa data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Dominica – Table DM.IMF.DOT: Imports: cif: by Country: Annual.