In 2024, the growth of the real gross domestic product (GDP) in Argentina amounted to about -1.72 percent. Between 1980 and 2024, the figure dropped by approximately 2.42 percentage points, though the decline followed an uneven course rather than a steady trajectory. From 2024 to 2030, the growth will rise by around 4.69 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.

Georgia GDP Index: GVA: Agriculture, Forestry and Fishing data was reported at 97.452 Same Qtr PY=100 in Jun 2018. This records an increase from the previous number of 96.243 Same Qtr PY=100 for Mar 2018. Georgia GDP Index: GVA: Agriculture, Forestry and Fishing data is updated quarterly, averaging 99.443 Same Qtr PY=100 from Mar 1998 (Median) to Jun 2018, with 82 observations. The data reached an all-time high of 120.741 Same Qtr PY=100 in Sep 2007 and a record low of 78.806 Same Qtr PY=100 in Sep 2006. Georgia GDP Index: GVA: Agriculture, Forestry and Fishing data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.A017: GDP: by Industry: Index: Same Quarter Previous Year=100.

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.

The Gross Domestic Product (GDP) in Slovenia contracted 0.80 percent in the first quarter of 2025 over the previous quarter. This dataset provides - Slovenia GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

【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) 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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

The growth of the real gross domestic product (GDP) in Gabon was estimated at approximately 3.07 percent in 2024. Between 1981 and 2024, the growth rose by around 7.07 percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend. The growth is forecast to decline by about 0.20 percentage points from 2024 to 2030, fluctuating as it trends downward.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.

Graph and download economic data for Infra-Annual Labor Statistics: Unemployment Rate Total: From 15 to 24 Years for Mexico (LRUN24TTMXQ156S) from Q1 2005 to Q1 2025 about 15 to 24 years, Mexico, unemployment, and rate.

Kazakhstan GDP per Capita: Year to Date data was reported at 1,364.700 KZT th in Jun 2018. This records an increase from the previous number of 648.100 KZT th for Mar 2018. Kazakhstan GDP per Capita: Year to Date data is updated quarterly, averaging 912.600 KZT th from Dec 2007 (Median) to Jun 2018, with 43 observations. The data reached an all-time high of 2,943.900 KZT th in Dec 2017 and a record low of 193.000 KZT th in Mar 2009. Kazakhstan GDP per Capita: Year to Date data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.A015: GDP: per Capita: Current Price: ytd: by Region.

Full Year GDP Growth in Montenegro decreased to 6 percent in 2023 from 6.41 percent in 2022. This dataset includes a chart with historical data for Montenegro Full Year GDP Growth.

Germany’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.

India PFS: Real GDP: Growth Rate: Current Fiscal Year: Mean data was reported at 7.000 % in Mar 2019. This records a decrease from the previous number of 7.200 % for Dec 2018. India PFS: Real GDP: Growth Rate: Current Fiscal Year: Mean data is updated quarterly, averaging 7.100 % from Jun 2017 (Median) to Mar 2019, with 8 observations. The data reached an all-time high of 7.400 % in Sep 2018 and a record low of 6.500 % in Dec 2017. India PFS: Real GDP: Growth Rate: Current Fiscal Year: Mean data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.SE002: Professional Forecasters Survey (PFS): Reserve Bank of India: Annual Forecasts: Real GDP Growth Rate.

The Gross Domestic Product per capita in Georgia was last recorded at 6180.62 US dollars in 2023. The GDP per Capita in Georgia is equivalent to 49 percent of the world's average. This dataset provides - Georgia GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Infra-Annual Labor Statistics: Unemployment Rate Total: From 15 to 24 Years for Poland (LRUN24TTPLQ156S) from Q1 2000 to Q4 2024 about Poland, 15 to 24 years, unemployment, and rate.

United States - Unemployment Rate - Less than 1 year of High School, 55 to 64 years, Women was 4.20% in May of 2025, according to the United States Federal Reserve. Historically, United States - Unemployment Rate - Less than 1 year of High School, 55 to 64 years, Women reached a record high of 20.60 in April of 2020 and a record low of 0.90 in May of 2002. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Unemployment Rate - Less than 1 year of High School, 55 to 64 years, Women - last updated from the United States Federal Reserve on June of 2025.

Key Table Information.Table Title.Construction: Summary Statistics for the U.S., States, and Selected Geographies: 2022.Table ID.ECNBASIC2022.EC2223BASIC.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2022.Source.U.S. Census Bureau, 2022 Economic Census, Core Statistics.Release Date.2024-12-05.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of firmsNumber of establishmentsSales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesConstruction workers annual wages($1,000)Construction workers for pay period including March 12Construction workers for pay period including June 12Construction workers for pay period including September 12Construction workers for pay period including December 12Construction, production and/or development and exploration workers annual hours (1,000)Other employees annual wages ($1,000)Other employees for pay period including March 12Other employees for pay period including June 12Other employees for pay period including September 12Other employees for pay period including December 12Total fringe benefits ($1,000)Employers cost for legally required fringe benefits ($1,000)Employers cost for voluntarily provided fringe benefits ($1,000)Total selected costs ($1,000) Cost of materials, components, packaging and/or supplies used, minerals received, or purchased machinery installed ($1,000)Cost of construction work subcontracted out to others ($1,000)Cost of purchased land ($1,000)Total cost of selected power, fuels, and lubricants ($1,000)Cost of gasoline and diesel fuel ($1,000)Cost of natural gas and manufactured gas ($1,000)Cost of on-highway use of gasoline and diesel fuel ($1,000)Cost of off-highway use of gasoline and diesel fuel ($1,000)Cost of all other fuels and lubricants ($1,000)Cost of purchased electricity ($1,000)Value of construction work ($1,000)Value of construction work on government owned projects ($1,000)Value of construction work on federally owned projects ($1,000)Value of construction work on state and locally owned projects ($1,000)Value of construction work on privately owned projects ($1,000)Value of other business done ($1,000)Value of construction work subcontracted in from others ($1,000)Net value of construction work ($1,000)Value added ($1,000)Materials and/or supplies, parts, fuels, etc. inventories, beginning of year ($1,000)Materials and/or supplies, parts, fuels, etc. inventories, end of year ($1,000)Gross value of depreciable assets (acquisition costs), beginning of year ($1,000)Total capital expenditures for buildings, structures, machinery, and equipment (new and used) ($1,000)Total retirements ($1,000)Gross value of depreciable assets (acquisition costs), end of year ($1,000)Total depreciation during year ($1,000)Total rental payments or lease payments ($1,000)Rental payments or lease payments for buildings and other structures ($1,000)Rental payments or lease payments for machinery and equipment ($1,000)Total other operating expenses ($1,000)Temporary staff and leased employee expenses ($1,000)Expensed computer hardware and other equipment ($1,000)Expensed purchases of software ($1,000)Data processing and other purchased computer services ($1,000)Communication services ($1,000)Repair and maintenance services of buildings and/or machinery ($1,000) Refuse removal (including hazardous waste) services ($1,000)Advertising and promotional services ($1,000)Purchased professional and technical services ($1,000) Taxes and license fees ($1,000)All other operating expenses ($1,000)Range indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical locati...

Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. This service is updated annually with American Community Survey (ACS) 5-year data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: District-wide. Current Vintage: 2019-2023. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 2, 2025. National Figures: data.census.gov. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes: This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2020 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Data processed using R statistical package and ArcGIS Desktop. Margin of Error was not included in this layer but is available from the Census Bureau. Contact the Office of Planning for more information about obtaining Margin of Error values.

Vietnam GDP: HCMC: Year to Date: IC: Industry data was reported at 170,590.000 VND bn in Sep 2018. This records an increase from the previous number of 107,991.000 VND bn for Jun 2018. Vietnam GDP: HCMC: Year to Date: IC: Industry data is updated quarterly, averaging 92,268.500 VND bn from Jun 2004 (Median) to Sep 2018, with 54 observations. The data reached an all-time high of 1,193,626.000 VND bn in Jun 2016 and a record low of 18,056.000 VND bn in Mar 2007. Vietnam GDP: HCMC: Year to Date: IC: Industry data remains active status in CEIC and is reported by Ho Chi Minh City Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.A029: Gross Domestic Product: Ho Chi Minh City: Quarterly.

CN:(GDP) Gross Domestic ProductIndex: PY=100: Beijing: Xicheng data was reported at 105.800 Prev Year=100 in 2023. This records an increase from the previous number of 104.100 Prev Year=100 for 2022. CN:(GDP) Gross Domestic ProductIndex: PY=100: Beijing: Xicheng data is updated yearly, averaging 106.507 Prev Year=100 from Dec 2011 (Median) to 2023, with 13 observations. The data reached an all-time high of 114.700 Prev Year=100 in 2011 and a record low of 98.900 Prev Year=100 in 2020. CN:(GDP) Gross Domestic ProductIndex: PY=100: Beijing: Xicheng data remains active status in CEIC and is reported by Beijing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AI: Gross Domestic Product: Index: PY=100: Municipality District.

Graph and download economic data for Infra-Annual Labor Statistics: Unemployment Rate Female: From 25 to 54 Years for Germany (LRUN25FEDEQ156S) from Q1 2005 to Q4 2024 about 25 to 54 years, females, Germany, unemployment, and rate.

Italy ISTAT Forecast: Real GDP: YoY: Imports data was reported at 3.500 % in 2019. This records an increase from the previous number of 2.600 % for 2018. Italy ISTAT Forecast: Real GDP: YoY: Imports data is updated yearly, averaging 3.500 % from Dec 2013 (Median) to 2019, with 7 observations. The data reached an all-time high of 6.800 % in 2015 and a record low of -3.400 % in 2013. Italy ISTAT Forecast: Real GDP: YoY: Imports data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.A008: ESA 2010: GDP by Expenditure: Year on Year Growth: Forecast: National Institute of Statistics.