GDP from Manufacturing in the United States decreased to 2406.60 USD Billion in the first quarter of 2025 from 2406.80 USD Billion in the fourth quarter of 2024. This dataset provides - United States Gdp From Manufacturing- actual values, historical data, forecast, chart, statistics, economic calendar and news.

United States US: GDP: % of Manufacturing: Medium and High Tech Industry data was reported at 41.166 % in 2015. This stayed constant from the previous number of 41.166 % for 2014. United States US: GDP: % of Manufacturing: Medium and High Tech Industry data is updated yearly, averaging 49.199 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 51.786 % in 1998 and a record low of 38.398 % in 1996. United States US: GDP: % of Manufacturing: Medium and High Tech Industry 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: Share of GDP. The proportion of medium and high-tech industry value added in total value added of manufacturing; ; United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database; ;

United States US: GDP: % of Manufacturing: Other Manufacturing data was reported at 38.796 % in 2011. This records an increase from the previous number of 37.666 % for 2010. United States US: GDP: % of Manufacturing: Other Manufacturing data is updated yearly, averaging 48.171 % from Dec 1963 (Median) to 2011, with 47 observations. The data reached an all-time high of 49.983 % in 1979 and a record low of 37.666 % in 2010. United States US: GDP: % of Manufacturing: Other Manufacturing 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: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Other manufacturing, a residual, covers wood and related products (ISIC division 20), paper and related products (ISIC divisions 21 and 22), petroleum and related products (ISIC division 23), basic metals and mineral products (ISIC division27), fabricated metal products and professional goods (ISIC division 28), and other industries (ISIC divisions 25, 26, 31, 33, 36, and 37). Includes unallocated data. When data for textiles, machinery, or chemicals are shown as not available, they are included in other manufacturing.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

The number of manufacturing enterprises in the United States was forecast to continuously decrease between 2024 and 2029 by in total 6.7 thousand enterprises (-2.21 percent). After the fourteenth consecutive decreasing year, the number is estimated to reach 297.07 thousand enterprises and therefore a new minimum in 2029. According to the OECD an enterprise is defined as the smallest combination of legal units, which is an organisational unit producing services or goods, that benefits from a degree of autonomy with regards to the allocation of resources and decision making. Depicted here are enterprises in the industrial sector of manufacturing, as defined in the ISIC classification framework.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

Abstract copyright UK Data Service and data collection copyright owner. The primary aim of the research project was to present an overview of Britain's relative competitive performance in the postwar period. Previous research in this area has concentrated on either the total economy or on manufacturing. The aim of the project was to broaden the scope of research by examining competitive performance for all sectors of the aggregate economy. To do so, a dataset was constructed to enable measurement of productivity (both labour and total factor productivity) and unit labour costs comparing Britain to four of her major competitors, i.e. the US, France, Germany and Japan. The research was concerned with to what extent the performance at the aggregate economy level was affected by the inclusion of non-market services (health, education and government), which are poorly measured in the national accounts. Differences in performance between service sectors and production industries were also analysed. Main Topics: The dataset contains the raw data necessary to enable an evaluation of Britain's relative competitive performance at the sector level. Hence the dataset contains annual time series, from 1950 to 1995, on real output (generally value added), number of persons engaged, average annual hours worked, net capital stocks, labour force skills and labour's share of value added. It also includes benchmark estimates of relative productivity levels for 1993. The data are available for a maximum of 33 sectors, some of which are broad sectors and some comprise sub-industries with these broad sectors. The sectors included are : 1. Agriculture, forestry and fishing; 2. Mining and oil refining (2.1 oil and gas extraction, 2.2 other mining, 2.3 mineral oil refining); 3. Utilities (3.1 electricity, 3.2 gas, 3.3 water supply); 4. Manufacturing 5. Construction 6. Distributive trades (6.1 wholesale trade, 6.2 retail trade, 6.3 hotels and catering); 7. Transport and communications (7.1 rail transport, 7.2 water transport, 7.3 air transport, 7.4 other transport & transport services, 7.5 communications); 8. Financial & business services (8.1 banking & finance, 8.2 insurance, 8.3 business services); 9. Miscellaneous personal services; 10. Non-market services (10.1 health, 10.2 education, 10.3 government) plus the total for the aggregate economy and the total over market sectors (excluding non-market sectors). The manufacturing sectors are : 4.1. Chemicals and allied products (4.11 chemicals, 4.12 rubber and plastics); 4.2. Metals (4.21 basic metals and 4.22 metal products); 4.3. Engineering industries (4.31 mechanical engineering, 4.32 office machinery, 4.33 electrical engineering, 4.34 mo tor vehicles, 4.45 other transport equipment, 4.36 instrument engineering); 4.4. Textile and related products (4.41 textiles, 4.42 clothing, footwear and leather); 4.5. Food, drink and tobacco and 4.6. Other manufacturing (4.61 non-metallic mineral products, 4.62 wood & furniture, 4.63 paper & printing, 4.64 miscellaneous manufacturing. The data originate from official publications but include adjustment to render them internationally comparable. Data limitations imply that the series are not always available for all sectors in all countries. The most complete data series are for the US, the UK and Germany - less detail is available for France and Japan. The data represent in some cases a complete, and in some cases a partial transcription of original sources. Adjustments were made to the original sources to render them consistent across both time and countries. For example, in constructing real output for the US, the data are those published for Construction, indexed to 1993=100. For the communications sector, however, the US industry definition includes telecommunications, radio and TV, whereas communications in all other countries comprise telecommunications and postal services. Hence for the US output of the postal services (included with the Federal Government) was estimated and added to output in telecommunications. For further details, please see documentation. The dataset contains the following files : NISECQ.xls: Real value added by sector, (index, 1993=100). NISECMQ.xls: Real value added in manufacturing industries, (index, 1993=100). NISECE.xls: Number of persons engaged by sector, (thousands of persons). NISECME.xls: Number of persons engaged in manufacturing, (thousands of persons). NISECHR.xls: Annual average hours per worker by sector, (number of hours). NISECMHR.xls: Annual average hours per worker in manufacturing, (number of hours). NISECPR.xls: Value added per hour worked by sector, (index, 1993=100). NISECMPR.xls: Value added per hour worked in manufacturing, (index, 1993=100). NISECK.xls: Capital services by sector, (index, 1993=100). NISECMK.xls: Capital services in manufacturing, (index, 1993=100). (this file does include a spreadsheet for Japan ) NISECLS.xls: Labour's share of value added by sector, (proportions). NISECMLS.xls: Labour's share of value added in manufacturing, (proportions). (this file does include a spreadsheet for Japan) NISECSK.xls: Labour force skills by sector, divided into higher level, intermediate level and low skills (percent of the workforce). Note: these data are available only for the US, the UK and Germany. NISECMSK.xls: Labour force skills in manufacturing, divided into higher level, intermediate level and low skills (percent of the workforce). Note: these data are available only for the US, the UK and Germany. NISECLV.xls: Relative levels of value added per hour worked and capital per hour worked in 1993, (UK=100). This contains one spreadsheet for sectors and one for manufacturing. No information recorded

Historical chart and dataset showing India manufacturing output by year from 1960 to 2023.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Walker Branch Watershed (WBW) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.

The Gross Domestic Product (GDP) in Vietnam was worth 476.39 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Vietnam represents 0.45 percent of the world economy. This dataset provides the latest reported value for - Vietnam GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.

The Gross Domestic Product (GDP) in Iran was worth 436.91 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Iran represents 0.41 percent of the world economy. This dataset provides - Iran GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Harvard Forest (HFR) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.

Capacity Utilization in the United States increased to 77.60 percent in June from 77.50 percent in May of 2025. This dataset provides the latest reported value for - United States Capacity Utilization - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Cascade Head Experimental Forest (CHE) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.

Exports in the United States decreased to 279 USD Billion in May from 290.57 USD Billion in April of 2025. This dataset provides the latest reported value for - United States Exports - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Priest River Experimental Forest (PRI) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.