In July 2025, a public opinion survey found that only *****percent of Americans felt that the economy was in an excellent state. Of the Americans surveyed, ***percent considered the economy to be in a poor state.

The gross domestic product (GDP) of California was about 4.1 trillion U.S. dollars in 2024, meaning that it contributed the most out of any state to the country’s GDP in that year. In contrast, Vermont had the lowest GDP in the United States, with 45.71 billion U.S. dollars. What is GDP? Gross domestic product, or GDP, is the total monetary value of all goods and services produced by an economy within a certain time period. GDP is used by economists to determine the economic health of an area, as well as to determine the size of the economy. GDP can be determined for countries, states and provinces, and metropolitan areas. While GDP is a good measure of the absolute size of a country's economy and economic activity, it does account for many other factors, making it a poor indicator for measuring the cost or standard of living in a country, or for making cross-country comparisons. GDP of the United States The United States has the largest gross domestic product in the world as of 2023, with China, Japan, Germany, and India rounding out the top five. The GDP of the United States has almost quadrupled since 1990, when it was about 5.9 trillion U.S. dollars, to about 25.46 trillion U.S. dollars in 2022.

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 145, a 0% decrease year-by-year from 2022. Previously, in 2022, Economy population was 145, a decline of 0.68% compared to a population of 146 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Economy decreased by 55. In this period, the peak population was 201 in the year 2002. 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 database provides daily updates of high-frequency indicators on global economic developments, encompassing both advanced economies and emerging market and developing economies. Data are provided at monthly and/or quarterly frequencies, as well as annual series. It includes data on consumer prices, exchange rates, foreign reserves, GDP, industrial production, merchandise trade, retail sales, stock markets, terms of trade, and unemployment.

The statistic shows the gross domestic product (GDP) of the United States from 1987 to 2024, with projections up until 2030. The gross domestic product of the United States in 2024 amounted to around 29.18 trillion U.S. dollars. The United States and the economy The United States’ economy is by far the largest in the world; a status which can be determined by several key factors, one being gross domestic product: A look at the GDP of the main industrialized and emerging countries shows a significant difference between US GDP and the GDP of China, the runner-up in the ranking, as well as the followers Japan, Germany and France. Interestingly, it is assumed that China will have surpassed the States in terms of GDP by 2030, but for now, the United States is among the leading countries in almost all other relevant rankings and statistics, trade and employment for example. See the U.S. GDP growth rate here. Just like in other countries, the American economy suffered a severe setback when the economic crisis occurred in 2008. The American economy entered a recession caused by the collapsing real estate market and increasing unemployment. Despite this, the standard of living is considered quite high; life expectancy in the United States has been continually increasing slightly over the past decade, the unemployment rate in the United States has been steadily recovering and decreasing since the crisis, and the Big Mac Index, which represents the global prices for a Big Mac, a popular indicator for the purchasing power of an economy, shows that the United States’ purchasing power in particular is only slightly lower than that of the euro area.

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Vietnam.

The gross domestic product (GDP) of Papua New Guinea (PNG) grew at an annual average rate of nearly 7% between 2007 and 2010, and is expected to perform even better in 2011. Moreover, the economy remained unaffected even at the peak of the global economic crisis, when most other major Southeast Asian and Pacific economies recorded low or negative GDP growth rates. Sound macroeconomic management in the recent past and planned initiatives such as the PNG LNG Project indicate that the economy will continue to perform well in the medium to long run. Nevertheless, the country faces a number of development challenges. Per capita GDP and its growth rate remain low. The economy is heavily dependent on the mining and resource sectors, and hence remains vulnerable to fluctuations in the global markets. A majority of the people in the labor force work in the informal sector, and opportunities for productive employment in the formal sector continue to grow very slowly. Provision of public services, including education, health, and safe drinking water and sanitation, remains inadequate, especially in the rural areas.

The Gross Domestic Product (GDP) in the United States expanded 3.30 percent in the second quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United States GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Replication Data for: Going “beyond the GDP” in the digital economy: Exploring the relationship between internet use and well-being in Spain, published in Humanities and Social Sciences Communications.

This data selection represents a thematic extract from the comprehensive study “The Growth of the German Economy since the mid-19th Century“ (“Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts”) from 1965 by Walter G. Hoffmann. The main objective of Hoffmann’s study is to work out statistical figures concerning the long-term development of the German national economy, as well as the individual fields of this subject area. In doing so, the time series shall enable the verification of various hypotheses concerning economic growth. This aim, however, can only be reached if such time series are based on comparable statistical, methodical, and content-related concepts, and if they are collected for a period with maximum length. Consequently, this data selection comprises more than 800 pages with 250 tables, featuring almost every time series between 1850 and 1960 that can be considered relevant for the economic development. Whenever necessary, these materials were completed by estimates. Moreover, the above-named analyses of long-term tendencies aim at creating a reference system for the numerous short-term changes occuring within most national economies in the course of a century.Here the special focus of Hoffman’s work lies on the visualisation of the gained materials as regards the raise, distribution, and use of the national income. The respective calculation is based on the two production factors of labour and capital and culminates in an overview of production. The calculation of the distribution, on the other hand, deals with the functional and individual, i.e. personal distribution of (earned and capital) income. In its turn, the calculation of use is divided into the sectors of private and public consumption, investment, and the national trade balance. Topics Timeseries data available via the downloadsystem HISTAT Data excerpt: earned income and capital income(income compilation, the following factors have been taken into consideration): - average yearly earned income in mining and salt-mines (1850-1959).- average yearly earned income in industry and handicraft (1850-1959).- average yearly earned income in traffic system without German Federal Railways, German Federal Mail, and shipping (1950-1959).- average yearly earned income in traffic system (1850-1959).- average yearly earned income in trade, banks, insurances, and hotel and catering industry (1925-1939).- average yearly earned income in trade, banks, insurances, and hotel and catering industry (1950-1960).- average yearly earned income of employed in the public service (1851-1913).- average yearly earned income in the public service (1925-1950).- average yearly earned income in other services (1850-1959).- average yearly earned income by economic sectores (1850-1959).- earned income by economic sectores (1850-1959).- rate of return of the industrial sector´s stock corporations (1926-1959).- distribution of net social product in factor costs in current prices (1850 – 1959).

This data selection represents a thematic extract from the comprehensive study “The Growth of the German Economy since the mid-19th Century“ (“Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts”) from 1965 by Walter G. Hoffmann. The main objective of Hoffmann’s study is to work out statistical figures concerning the long-term development of the German national economy, as well as the individual fields of this subject area. In doing so, the time series shall enable the verification of various hypotheses concerning economic growth. This aim, however, can only be reached if such time series are based on comparable statistical, methodical, and content-related concepts, and if they are collected for a period with maximum length. Consequently, this data selection comprises more than 800 pages with 250 tables, featuring almost every time series between 1850 and 1960 that can be considered relevant for the economic development. Whenever necessary, these materials were completed by estimates. Moreover, the above-named analyses of long-term tendencies aim at creating a reference system for the numerous short-term changes occuring within most national economies in the course of a century.Here the special focus of Hoffman’s work lies on the visualisation of the gained materials as regards the raise, distribution, and use of the national income. The respective calculation is based on the two production factors of labour and capital and culminates in an overview of production. The calculation of the distribution, on the other hand, deals with the functional and individual, i.e. personal distribution of (earned and capital) income. In its turn, the calculation of use is divided into the sectors of private and public consumption, investment, and the national trade balance. Topics Timeseries data available via the downloadsystem HISTAT The chapter „the prices“ do not contain a general representation of price history, but summarises only the prices, which are necessary for computations in other parts of Hoffmann´s work, for example calculations of inflation and/or deflation of timeseries on the basis of price indices. Data excerpt: Prices(final expenditure compilation , the following factors have been taken into consideration): - Producer´s prices for crop products (1846-1959)- Producer´s prices for products from livestock farming (1850-1959)- Indices of producer´s prices of agricultural production (1850-1959)- Producer´s prices of agricultural and fishery products (1848-1959)- Price indices of investment goods (1850-1959)- Retailing consumer prices for crop products (1850-1959)- Retailing consumer prices for products from livestock farming (1850-1959)- Retailing consumer prices for products luxury foodstuffs (1850-1959)- Price indices of selected product-groups (1850-1913)- Price indices of selected product-groups (1925-1959)- Price indices of net national product at market prices (final expenditures compilation) (1850-1959)- Prices of official consumption (1925-1959)- Export-price indices: foodstuffs, luxury foodstuffs, basic materials, semi-finished goods (1880-1960)- Export-price indices: manufactured goods (1880-1960)- Import-price indices: foodstuffs, luxury foodstuffs (1872-1960)- Import-price indices: basic materials, semi-finished goods, manufactured goods (1872-1960)- Price indices of the balance of payments´ groups (1950-1959)

This data selection represents a thematic extract from the comprehensive study “The Growth of the German Economy since the mid-19th Century“ (“Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts”) from 1965 by Walter G. Hoffmann. The main objective of Hoffmann’s study is to work out statistical figures concerning the long-term development of the German national economy, as well as the individual fields of this subject area. In doing so, the time series shall enable the verification of various hypotheses concerning economic growth. This aim, however, can only be reached if such time series are based on comparable statistical, methodical, and content-related concepts, and if they are collected for a period with maximum length. Consequently, this data selection comprises more than 800 pages with 250 tables, featuring almost every time series between 1850 and 1960 that can be considered relevant for the economic development. Whenever necessary, these materials were completed by estimates. Moreover, the above-named analyses of long-term tendencies aim at creating a reference system for the numerous short-term changes occuring within most national economies in the course of a century. The special focus of Hoffman’s work lies on the visualisation of the gained materials as regards the raise, distribution, and use of the national income. The respective calculation is based on the two production factors of labour and capital and culminates in an overview of production. The calculation of the distribution, on the other hand, deals with the functional and individual, i.e. personal distribution of (earned and capital) income. In its turn, the calculation of use is divided into the sectors of private and public consumption, investment, and the national trade balance. Topics Timeseries Data available via the downloadsystem HISTAT Date excerpt: The Production of Industry and Handcraft (from the calculation of the raised income, ´Aufbringungsrechnung´). The following indices (1913 = 100) have been taken into consideration: - Procuction of Nonmetallic Mineral Processing Industry (´Steine und Erden´);- Metal Production;- Production of metalworking industry;- Production of chemicla industry;- Production of textile industry;- Production of leatherworking and clothing industry;- Production of food and luxury foodstuff industry;- Production of electric power stations and gasworks;- Total production of industry and handcraft.

This data selection represents a thematic extract from the comprehensive study “The Growth of the German Economy since the mid-19th Century“ (“Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts”) from 1965 by Walter G. Hoffmann. The main objective of Hoffmann’s study is to work out statistical figures concerning the long-term development of the German national economy, as well as the individual fields of this subject area. In doing so, the time series shall enable the verification of various hypotheses concerning economic growth. This aim, however, can only be reached if such time series are based on comparable statistical, methodical, and content-related concepts, and if they are collected for a period with maximum length. Consequently, this data selection comprises more than 800 pages with 250 tables, featuring almost every time series between 1850 and 1960 that can be considered relevant for the economic development. Whenever necessary, these materials were completed by estimates. Moreover, the above-named analyses of long-term tendencies aim at creating a reference system for the numerous short-term changes occuring within most national economies in the course of a century. The special focus of Hoffman’s work lies on the visualisation of the gained materials as regards the raise, distribution, and use of the national income. The respective calculation is based on the two production factors of labour and capital and culminates in an overview of production. The calculation of the distribution, on the other hand, deals with the functional and individual, i.e. personal distribution of (earned and capital) income. In its turn, the calculation of use is divided into the sectors of private and public consumption, investment, and the national trade balance. Topics Timeseries Data available via the downloadsystem HISTAT Date excerpt: The Production of transport system (from the calculation of the raised income, ´Aufbringungsrechnung´). The following topics have been taken into consideration: - Passenger traffic (on railways, on roads and rapid-transit railways, on line buses, with airplanes); - Goods traffic (on railways, on river boats, on seagoing vessels, on motor vehicles); - Production of the Post; - Other Traffic; - Production of the total transport system; - Adding value of the transport system in prices of 1913. Die vorliegende Datenauswahl ist ein thematischer Ausschnitt aus der umfangreichen Studie „Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts“ (1965) von Walter G. Hoffmann. Das Hauptanliegen der Untersuchung von Hoffmann ist, statistisches Zahlenmaterial über die langfristige Entwicklung der deutschen Gesamtwirtschaft wie der einzelnen Bereiche zu liefern. Die Zeitreihen sollen damit der Verifikation wachstumstheoretischer Hypothesen dienen. Dieses Ziel lässt sich nur dann erreichen, wenn über einen möglichst langen Zeitraum statistisch-methodisch und inhaltlich vergleichbare Zeitreihen vorgelegt werden. Es werden auf über 800 Seiten in 250 Tabellen fast alle für die wirtschaftliche Entwicklung interessanten Zeitreihen zwischen 1850 und 1960 aufgeführt und teilweise durch Schätzverfahren ergänzt. Durch die Analyse der langfristigen Tendenzen soll zugleich ein Bezugssystem geschaffen werden für die zahlreichen kurzfristigen Veränderungen, die sich im Laufe eines Jahrhunderts in einer Volkswirtschaft vollziehen. Kernstück von Hoffmanns Arbeit bilden die Darstellungen des gewonnenen statistischen Materials zur Aufbringungsrechnung, zur Verteilungsrechnung und zur Verwendungsrechnung des Volkseinkommens. Die Aufbringungsrechnung geht von den beiden Produktionsfaktoren Arbeit und Kapital aus und endet in der Darstellung der Produktion. Die Verteilungsrechnung behandelt sowohl die funktionelle Einkommensverteilung (Arbeitseinkommen und Kapitaleinkommen) wie die personelle Einkommensverteilung. Die Verwendungsrechnung teilt sich auf in die Sektoren privater und öffentlicher Verbrauch, Investitionen sowie die Leistungsbilanz. Themen Zeitreihendaten im Downloadsystem HISTAT Datenausschnitt: Die Produktion des Verkehrswesens (aus der Aufbringungsrechnung): Berücksichtigt werden: - Der Personenverkehr (auf Eisenbahnen, auf Straßen und Schnellbahnen, auf Linienomnibussen, mit Flugzeugen); - der Güterverkehr (auf Eisenbahnen, auf Binnenschiffen, auf Seeschiffen, auf Kraftfahrzeugen); - die Produktionsleistung der Post; - die Produktion im sonstigen Verkehr; - die Produktion des Verkehrswesens insgesamt; - die Wertschöpfung des Verkehrs in Preisen von 1913. Quellen: Die Untersuchung stützt sich in ganz überwiegendem Maße auf den amtlichen Statistiken des Zollvereins, des Reiches, des Bundes, der Länder, der Kommunen usw. Daten aus wissenschaftlichen Einzelpublikationen.

This data selection represents a thematic extract from the comprehensive study “The Growth of the German Economy since the mid-19th Century“ (“Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts”) from 1965 by Walter G. Hoffmann. The main objective of Hoffmann’s study is to work out statistical figures concerning the long-term development of the German national economy, as well as the individual fields of this subject area. In doing so, the time series shall enable the verification of various hypotheses concerning economic growth. This aim, however, can only be reached if such time series are based on comparable statistical, methodical, and content-related concepts, and if they are collected for a period with maximum length. Consequently, this data selection comprises more than 800 pages with 250 tables, featuring almost every time series between 1850 and 1960 that can be considered relevant for the economic development. Whenever necessary, these materials were completed by estimates. Moreover, the above-named analyses of long-term tendencies aim at creating a reference system for the numerous short-term changes occuring within most national economies in the course of a century. Here the special focus of Hoffman’s work lies on the visualisation of the gained materials as regards the raise, distribution, and use of the national income. The respective calculation is based on the two production factors of labour and capital and culminates in an overview of production. The calculation of the distribution, on the other hand, deals with the functional and individual, i.e. personal distribution of (earned and capital) income. In its turn, the calculation of use is divided into the sectors of private and public consumption, investment, and the national trade balance. Topics Timeseries data available via the downloadsystem HISTAT Data excerpt: The production of mining industry and saltworks (from the calculation of the raised income, the following factors have been taken into consideration): - The production of mining industry and saltworks (Index: 1913 = 100). Die vorliegende Datenauswahl ist ein thematischer Ausschnitt aus der umfangreichen Studie „Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts“ (1965) von Walter G. Hoffmann. Das Hauptanliegen der Untersuchung von Hoffmann ist, statistisches Zahlenmaterial über die langfristige Entwicklung der deutschen Gesamtwirtschaft wie der einzelnen Bereiche zu liefern. Die Zeitreihen sollen damit der Verifikation wachstumstheoretischer Hypothesen dienen. Dieses Ziel lässt sich nur dann erreichen, wenn über einen möglichst langen Zeitraum statistisch-methodisch und inhaltlich vergleichbare Zeitreihen vorgelegt werden. Es werden auf über 800 Seiten in 250 Tabellen fast alle für die wirtschaftliche Entwicklung interessanten Zeitreihen zwischen 1850 und 1960 aufgeführt und teilweise durch Schätzverfahren ergänzt. Durch die Analyse der langfristigen Tendenzen soll zugleich ein Bezugssystem geschaffen werden für die zahlreichen kurzfristigen Veränderungen, die sich im Laufe eines Jahrhunderts in einer Volkswirtschaft vollziehen. Kernstück von Hoffmanns Arbeit bilden die Darstellungen des gewonnenen statistischen Materials zur Aufbringungsrechnung, zur Verteilungsrechnung und zur Verwendungsrechnung des Volkseinkommens. Die Aufbringungsrechnung geht von den beiden Produktionsfaktoren Arbeit und Kapital aus und endet in der Darstellung der Produktion. Die Verteilungsrechnung behandelt sowohl die funktionelle Einkommensverteilung (Arbeitseinkommen und Kapitaleinkommen) wie die personelle Einkommensverteilung. Die Verwendungsrechnung teilt sich auf in die Sektoren privater und öffentlicher Verbrauch, Investitionen sowie die Leistungsbilanz. Themen Zeitreihendaten im Recherche- und Downloadsystem HISTAT Datenausschnitt: Die Produktion von Bergbau und Salinen (aus der Aufbringungsrechnung): - Die Produktion des Bergbaus und der Salinen (Index: 1913 = 100). Quellen: Die Untersuchung stützt sich in ganz überwiegendem Maße auf den amtlichen Statistiken des Zollvereins, des Reiches, des Bundes, der Länder, der Kommunen usw. Daten aus wissenschaftlichen Einzelpublikationen.

View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.

The conventional theory of economic voting is that voters reward or punish the incumbent government based on how the domestic economy is doing. Recently, scholars have challenged that view, arguing that voters use relative assessments to gauge government performance. From this perspective, what matters is not how well the national economy is doing per se, but rather how it performs relative to an international or historical reference point. This article revisits prominent published works in that emerging tradition, and finds that the available evidence does not support the benchmarking hypothesis. We come to this conclusion after taking a close look at the regression models that are typically used to test benchmarking. We show algebraically that the way in which those models are specified invites a fundamental misreading of the evidence. Finally, we propose an alternative regression equation which can be used to test benchmarking, avoids common misinterpretations, and allows us to assess complex, conditional theories of relative evaluation.

This data selection represents a thematic extract from the comprehensive study “The Growth of the German Economy since the mid-19th Century“ (“Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts”) from 1965 by Walter G. Hoffmann. The main objective of Hoffmann’s study is to work out statistical figures concerning the long-term development of the German national economy, as well as the individual fields of this subject area. In doing so, the time series shall enable the verification of various hypotheses concerning economic growth. This aim, however, can only be reached if such time series are based on comparable statistical, methodical, and content-related concepts, and if they are collected for a period with maximum length. Consequently, this data selection comprises more than 800 pages with 250 tables, featuring almost every time series between 1850 and 1960 that can be considered relevant for the economic development. Whenever necessary, these materials were completed by estimates. Moreover, the above-named analyses of long-term tendencies aim at creating a reference system for the numerous short-term changes occuring within most national economies in the course of a century. Here the special focus of Hoffman’s work lies on the visualisation of the gained materials as regards the raise, distribution, and use of the national income. The respective calculation is based on the two production factors of labour and capital and culminates in an overview of production. The calculation of the distribution, on the other hand, deals with the functional and individual, i.e. personal distribution of (earned and capital) income. In its turn, the calculation of use is divided into the sectors of private and public consumption, investment, and the national trade balance. Topics Timeseries date available via the downloadsystem HISTAT Data excerpt: Production in Agriculture, Forestry and Fisheries (from the calculation of the raised income, the following factors have been taken into consideration: - the quantitative production of agriculture, – the production of agriculture in value terms, – the net production value and value creation of agriculture as calculated on the bases of price levels in the examined years, and of the prices of 1913.

Timeseries are downloadable via the online system HISTAT (www.histat.gesis.org).

About this dataset

Context

The dataset tabulates the Economy population by year. The dataset can be utilized to understand the population trend of Economy.

Content

The dataset constitues the following datasets

• Economy, IN Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

Although the share of industry in GDP remained stable, it underwent significant fundamental changes. During this period, as a process of product restructuring, when a gross value was adjusted, production increased at current prices by 8 percent per annum. Then in 2004-09, the GDP growth rate increased to 20%. At the same prices, the annual but significant increase in employment was also 7.5 percent per annum. The work participation rate was 39.2 percent in 2009-10. Of these, 53 percent were in agriculture and the remaining 47 percent were in non-agricultural sectors. For the first time in the late 2000s, the number of perfect workers in the agricultural sector decreased. Unemployment in the economy as a whole has come down from 8.3 percent in 2004-05 to 6.6 percent in 2009-10. We can say that the Indian economy has performed well since 1991 but now the Indian economy is going through another turbulent period. The growth rate of the Indian economy has been slowing down since 2014. In addition to this, Kovid 19 has spread its legs in India and has slowed down the growth rate. The research paper will conclude the study of the Indian economy from 2014 to 2020, as well as three economic sectors.

The Gross Domestic Product (GDP) in the United States was worth 29184.89 billion US dollars in 2024, according to official data from the World Bank. The GDP value of the United States represents 27.49 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.