87 datasets found
  1. T

    United States Industrial Production

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Industrial Production [Dataset]. https://tradingeconomics.com/united-states/industrial-production
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1920 - Jul 31, 2025
    Area covered
    United States
    Description

    Industrial Production in the United States increased 1.40 percent in July of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Industrial Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  2. Economic Census: Core Statistics: US Industry Product Data

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Economic Census: Core Statistics: US Industry Product Data [Dataset]. https://catalog.data.gov/dataset/economic-census-core-statistics-us-industry-product-data
    Explore at:
    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law. In October through December of the census year, forms are sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies. This dataset presents company, establishments, value of shipments, value of product shipments, percentage of product shipments of the total value of shipments, and percentage of distribution of value of product shipments.

  3. T

    INDUSTRY VALUE ADDED PERCENT OF GDP WB by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Oct 20, 2016
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    TRADING ECONOMICS (2016). INDUSTRY VALUE ADDED PERCENT OF GDP WB by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/industry-value-added-percent-of-gdp-wb-
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Oct 20, 2016
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    World
    Description

    This dataset provides values for INDUSTRY VALUE ADDED PERCENT OF GDP WB reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  4. N

    Industry, Maine Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
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    Neilsberg Research (2024). Industry, Maine Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Industry town from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/industry-me-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Maine, Industry
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Industry town 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 Industry town 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 Industry town was 801, a 0.50% increase year-by-year from 2022. Previously, in 2022, Industry town population was 797, an increase of 0.63% compared to a population of 792 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Industry town increased by 16. In this period, the peak population was 928 in the year 2019. 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 Industry town is shown in this column.
    • Year on Year Change: This column displays the change in Industry town 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 Industry town Population by Year. You can refer the same here

  5. U

    United States US: GDP: % of Manufacturing: Medium and High Tech Industry

    • ceicdata.com
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    CEICdata.com, United States US: GDP: % of Manufacturing: Medium and High Tech Industry [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-share-of-gdp/us-gdp--of-manufacturing-medium-and-high-tech-industry
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2004 - Dec 1, 2015
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    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; ;

  6. N

    Industry, IL Population Dataset: Yearly Figures, Population Change, and...

    • neilsberg.com
    csv, json
    Updated Sep 18, 2023
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    Neilsberg Research (2023). Industry, IL Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis [Dataset]. https://www.neilsberg.com/research/datasets/6ea88d6e-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 18, 2023
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Illinois, Industry
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2022, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2022. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2022. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Industry 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 Industry 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 2022, the population of Industry was 393, a 0.00% decrease year-by-year from 2021. Previously, in 2021, Industry population was 393, a decline of 1.26% compared to a population of 398 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Industry decreased by 172. In this period, the peak population was 565 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 2022

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2022)
    • Population: The population for the specific year for the Industry is shown in this column.
    • Year on Year Change: This column displays the change in Industry 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 Industry Population by Year. You can refer the same here

  7. N

    Industry, PA Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Industry, PA Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Industry from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/industry-pa-population-by-year/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Industry, Pennsylvania
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Industry 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 Industry 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 Industry was 1,790, a 0.39% decrease year-by-year from 2022. Previously, in 2022, Industry population was 1,797, a decline of 0.83% compared to a population of 1,812 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Industry decreased by 148. In this period, the peak population was 1,938 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 Industry is shown in this column.
    • Year on Year Change: This column displays the change in Industry 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 Industry Population by Year. You can refer the same here

  8. T

    Vital Signs: Change in Jobs by Industry by County (2022)

    • data.bayareametro.gov
    • splitgraph.com
    csv, xlsx, xml
    Updated Jul 6, 2022
    + more versions
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    (2022). Vital Signs: Change in Jobs by Industry by County (2022) [Dataset]. https://data.bayareametro.gov/Economy/Vital-Signs-Change-in-Jobs-by-Industry-by-County-2/kr3e-fms4
    Explore at:
    xlsx, xml, csvAvailable download formats
    Dataset updated
    Jul 6, 2022
    Description

    VITAL SIGNS INDICATOR
    Jobs by Industry (EC1)

    FULL MEASURE NAME
    Employment by place of work by industry sector

    LAST UPDATED
    December 2022

    DESCRIPTION
    Jobs by industry refers to both the change in employment levels by industry and the proportional mix of jobs by economic sector. This measure reflects the changing industry trends that affect our region’s workers.

    DATA SOURCE
    Bureau of Labor Statistics, Quarterly Census of Employment and Wages (QCEW) - https://www.bls.gov/cew/downloadable-data-files.htm
    1990-2021

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Quarterly Census of Employment and Wages (QCEW) employment data is reported by the place of work and represent the number of covered workers who worked during, or received pay for, the pay period that included the 12th day of the month. Covered employees in the private-sector and in the state and local government include most corporate officials, all executives, all supervisory personnel, all professionals, all clerical workers, many farmworkers, all wage earners, all piece workers and all part-time workers. Workers on paid sick leave, paid holiday, paid vacation and the like are also covered.

    Besides excluding the aforementioned national security agencies, QCEW excludes proprietors, the unincorporated self-employed, unpaid family members, certain farm and domestic workers exempted from having to report employment data and railroad workers covered by the railroad unemployment insurance system. Excluded as well are workers who earned no wages during the entire applicable pay period because of work stoppages, temporary layoffs, illness or unpaid vacations.

    The location quotient (LQ) is used to evaluate level of concentration or clustering of an industry within the Bay Area and within each county of the region. A location quotient greater than 1 means there is a strong concentration for of jobs in an industry sector. For the Bay Area, the LQ is calculated as the share of the region’s employment in a particular sector divided by the share of California's employment in that same sector. For each county, the LQ is calculated as the share of the county’s employment in a particular sector divided by the share of the region’s employment in that same sector.

    Data is mainly pulled from aggregation level 73, which is county-level summarized at the North American Industry Classification System (NAICS) supersector level (12 sectors). This aggregation level exhibits the least loss due to data suppression, in the magnitude of 1-2 percent for regional employment, and is therefore preferred. However, the supersectors group together NAICS 11 Agriculture, Forestry, Fishing and Hunting; NAICS 21 Mining and NAICS 23 Construction. To provide a separate tally of Agriculture, Forestry, Fishing and Hunting, the aggregation level 74 data was used for NAICS codes 11, 21 and 23.

    QCEW reports on employment in Public Administration as NAICS 92. However, many government activities are reported with an industry specific code - such as transportation or utilities even if those may be public governmental entities. In 2021 for the Bay Area, the largest industry groupings under public ownership are Education and health services (58%); Public administration (29%) and Trade, transportation, and utilities (29%). With the exception of Education and health services, all other public activities were coded as government/public administration, regardless of industry group.

    For the county data there were some industries that reported 0 jobs or did not report jobs at the desired aggregation/NAICS level for the following counties/years:

    Farm:
    (aggregation level: 74, NAICS code: 11) - Contra Costa: 2008-2010 - Marin: 1990-2006, 2008-2010, 2014-2020 - Napa: 1990-2004, 2013-2021 - San Francisco: 2019-2020 - San Mateo: 2013

    Information:
    (aggregation level: 73, NAICS code: 51) - Solano: 2001

    Financial Activities:
    (aggregation level: 73, NAICS codes: 52, 53) - Solano: 2001

    Unclassified:
    (aggregation level: 73, NAICS code: 99) - All nine Bay Area counties: 1990-2000 - Marin, Napa, San Mateo, and Solano: 2020 - Napa: 2019 - Solano: 2001

  9. o

    Percentage Distribution by Major Industry Divisions in Informal Sectors...

    • opendata.com.pk
    Updated May 8, 2023
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    (2023). Percentage Distribution by Major Industry Divisions in Informal Sectors Workers - Datasets - Open Data Pakistan [Dataset]. https://opendata.com.pk/dataset/percentage-distribution-by-major-industry-divisions-in-informal-sectors-workers
    Explore at:
    Dataset updated
    May 8, 2023
    Area covered
    Pakistan
    Description

    Percentage Distribution by Major Industry Divisions in Informal Sectors Workers

  10. T

    Japan Industrial Production

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 29, 2025
    + more versions
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    TRADING ECONOMICS (2025). Japan Industrial Production [Dataset]. https://tradingeconomics.com/japan/industrial-production
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Aug 29, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1954 - Jul 31, 2025
    Area covered
    Japan
    Description

    Industrial Production in Japan decreased 0.90 percent in July of 2025 over the same month in the previous year. This dataset provides - Japan Industrial Production - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  11. G

    Greece GR: GDP: % of GDP: Gross Value Added: Industry: Manufacturing

    • ceicdata.com
    Updated Apr 15, 2023
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    CEICdata.com (2023). Greece GR: GDP: % of GDP: Gross Value Added: Industry: Manufacturing [Dataset]. https://www.ceicdata.com/en/greece/gross-domestic-product-share-of-gdp/gr-gdp--of-gdp-gross-value-added-industry-manufacturing
    Explore at:
    Dataset updated
    Apr 15, 2023
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Greece
    Variables measured
    Gross Domestic Product
    Description

    Greece GR: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data was reported at 8.866 % in 2017. This records an increase from the previous number of 8.600 % for 2016. Greece GR: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data is updated yearly, averaging 8.600 % from Dec 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 10.984 % in 1995 and a record low of 7.236 % in 2010. Greece GR: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greece – Table GR.World Bank.WDI: Gross Domestic Product: Share of GDP. Manufacturing refers to industries belonging to ISIC divisions 15-37. 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 origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average; Note: Data for OECD countries are based on ISIC, revision 4.

  12. T

    United States GDP From Manufacturing

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 25, 2015
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    TRADING ECONOMICS (2015). United States GDP From Manufacturing [Dataset]. https://tradingeconomics.com/united-states/gdp-from-manufacturing
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Aug 25, 2015
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 2005 - Mar 31, 2025
    Area covered
    United States
    Description

    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.

  13. G

    Business Sector employment flow rates, by industry, provinces and the...

    • ouvert.canada.ca
    • datasets.ai
    • +3more
    csv, html, xml
    Updated Dec 17, 2024
    + more versions
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    Statistics Canada (2024). Business Sector employment flow rates, by industry, provinces and the territories [Dataset]. https://ouvert.canada.ca/data/dataset/edc70670-a6be-4915-84bf-62a3e657c952
    Explore at:
    html, xml, csvAvailable download formats
    Dataset updated
    Dec 17, 2024
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Net employment growth and Gross employment creation and destruction by North American Industry Classification System, for each province and territory from the Longitudinal Employment Analysis Program.

  14. Production in industry - total (excluding construction)

    • db.nomics.world
    • service.tib.eu
    • +3more
    Updated Jul 26, 2025
    + more versions
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    DBnomics (2025). Production in industry - total (excluding construction) [Dataset]. https://db.nomics.world/Eurostat/teiis080
    Explore at:
    Dataset updated
    Jul 26, 2025
    Dataset provided by
    Eurostathttps://ec.europa.eu/eurostat
    Authors
    DBnomics
    Description

    The industrial production index shows the output and activity of the industry sector. It measures changes in the volume of output on a monthly basis. Data are compiled according to the Statistical classification of economic activities in the European Community, (NACE Rev. 2, Eurostat). Industrial production is compiled as a "fixed base year Laspeyres type volume-index". The current base year is 2021 (Index 2021 = 100). The index is presented in calendar and seasonally adjusted form. Growth rates with respect to the previous month (M/M-1) are calculated from calendar and seasonally adjusted figures while growth rates with respect to the same month of the previous year (M/M-12) are calculated from calendar adjusted figures.

  15. d

    Percentage Distribution of Employed Persons by Industry and Sex, Malaysia -...

    • archive.data.gov.my
    Updated Mar 8, 2021
    + more versions
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    (2021). Percentage Distribution of Employed Persons by Industry and Sex, Malaysia - Dataset - MAMPU [Dataset]. https://archive.data.gov.my/data/dataset/percentage-distribution-of-employed-persons-by-industry-and-sex-malaysia
    Explore at:
    Dataset updated
    Mar 8, 2021
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    This dataset shows the Percentage Distribution of Employed Persons by Industry and Sex, 2001 - 2021, Malaysia. Footnote The 2011-2014 statistics was updated based on the year's population estimates. Industry is classified according to the "Malaysia Standard Industrial Classification (MSIC) 2008". Total includes 'Activities of extraterritorial organizations and bodies' Source : Department of Statistics, Malaysia No. of Views : 231

  16. Gross domestic product (GDP) at basic prices, by industry, provinces and...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated May 1, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Gross domestic product (GDP) at basic prices, by industry, provinces and territories, percentage share [Dataset]. http://doi.org/10.25318/3610040001-eng
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    Dataset updated
    May 1, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Annual Provincial and Territorial Gross Domestic Product (GDP) at basic prices, by North American Industry Classification aggregates, in percentage share, in current dollars.

  17. d

    Percentage Distribution of Employed Persons by Industry, Malaysia - Dataset...

    • archive.data.gov.my
    Updated Dec 5, 2022
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    (2022). Percentage Distribution of Employed Persons by Industry, Malaysia - Dataset - MAMPU [Dataset]. https://archive.data.gov.my/data/dataset/percentage-distribution-of-employed-persons-by-industry-malaysia
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    Dataset updated
    Dec 5, 2022
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    This dataset shows the Percentage Distribution of Employed Persons by Industry, 2001 - 2021, Malaysia. Footnote Industry is classified according to the "Malaysia Standard Industrial Classification (MSIC) 2008. Total includes 'Activities of extraterritorial organizations and bodies'. The 2011-2014 statistics was updated based on the year's population estimates. Source : Department of Statistics, Malaysia

  18. t

    [DISCONTINUED] Production in industry - quarterly data, percentage change

    • service.tib.eu
    Updated Jan 8, 2025
    + more versions
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    (2025). [DISCONTINUED] Production in industry - quarterly data, percentage change [Dataset]. https://service.tib.eu/ldmservice/dataset/eurostat_1wxbrg2qidxbfotzdk2qqa
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    Dataset updated
    Jan 8, 2025
    Description
  19. d

    Data from: Maximum demand charge rates for commercial and industrial...

    • catalog.data.gov
    • data.openei.org
    • +3more
    Updated Jan 20, 2025
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    National Renewable Energy Laboratory (2025). Maximum demand charge rates for commercial and industrial electricity tariffs in the United States [Dataset]. https://catalog.data.gov/dataset/maximum-demand-charge-rates-for-commercial-and-industrial-electricity-tariffs-in-the-unite-9525e
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    Dataset updated
    Jan 20, 2025
    Dataset provided by
    National Renewable Energy Laboratory
    Area covered
    United States
    Description

    NREL has assembled a list of U.S. retail electricity tariffs and their associated demand charge rates for the Commercial and Industrial sectors. The data was obtained from the Utility Rate Database. Keep the following information in mind when interpreting the data: (1) These data were interpreted and transcribed manually from utility tariff sheets, which are often complex. It is a certainty that these data contain errors, and therefore should only be used as a reference. Actual utility tariff sheets should be consulted if an action requires this type of data. (2) These data only contains tariffs that were entered into the Utility Rate Database. Since not all tariffs are designed in a format that can be entered into the Database, this list is incomplete - it does not contain all tariffs in the United States. (3) These data may have changed since this list was developed (4) Many of the underlying tariffs have additional restrictions or requirements that are not represented here. For example, they may only be available to the agricultural sector or closed to new customers. (5) If there are multiple demand charge elements in a given tariff, the maximum demand charge is the sum of each of the elements at any point in time. Where tiers were present, the highest rate tier was assumed. The value is a maximum for the year, and may be significantly different from demand charge rates at other times in the year. Utility Rate Database: https://openei.org/wiki/Utility_Rate_Database

  20. T

    Turkey Industrial Production

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 10, 2025
    + more versions
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    TRADING ECONOMICS (2025). Turkey Industrial Production [Dataset]. https://tradingeconomics.com/turkey/industrial-production
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1986 - Jun 30, 2025
    Area covered
    Türkiye
    Description

    Industrial Production in Turkey increased 8.30 percent in June of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Turkey Industrial Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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TRADING ECONOMICS, United States Industrial Production [Dataset]. https://tradingeconomics.com/united-states/industrial-production

United States Industrial Production

United States Industrial Production - Historical Dataset (1920-01-31/2025-07-31)

Explore at:
183 scholarly articles cite this dataset (View in Google Scholar)
xml, excel, json, csvAvailable download formats
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 31, 1920 - Jul 31, 2025
Area covered
United States
Description

Industrial Production in the United States increased 1.40 percent in July of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Industrial Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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