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U.S. Department of Commerce, Bureau of Economic Analysis

The Bureau of Economic Analysis (BEA) is a U.S. government agency that provides official macroeconomic and industry statistics including the gross domestic product of the United States.

All datasets:  A B C D F G I N P Q R S T U V
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    • April 2019
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 07 May, 2019
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      Real gross domestic product (GDP) increased 3.2 percent in the first quarter of 2019, according to the “advance” estimate released by the Bureau of Economic Analysis. In the fourth quarter of 2018, real GDP increased 2.2 percent. U.S. GDP Comprehensive Revision   Note: Quarterly data "Seasonally adjusted at annual rates"    
    • April 2019
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 29 April, 2019
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      National Income and Product Accounts - Selected Per Capita Product and Income Series in Current and Chained Dollars, United States Selected Per Capita Product and Income Series in Current and Chained Dollars, U.S.
    • November 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 02 May, 2019
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    • March 2019
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 01 April, 2019
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      Gross Output by Industry: Principally, a measure of an industry's sales or receipts. The dataset captures an industry's sales to consumers and other final users (found in GDP), as well as sales to other industries (intermediate inputs not counted in GDP). They reflect the full value of the supply chain by including the business-to-business spending necessary to produce goods and services and deliver them to final consumers.
  • I
    • November 2017
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Pallavi S
      Accessed On: 08 November, 2017
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      The dataset contains sector-level commodity by industry direct requirements data from the Industry Input-Output (I-O) accounts for the years 1997-2016. The I-O accounts show how industries interact; specifically, they show how industries provide input to, and use output from, each other to produce Gross Domestic Product (GDP). These accounts provide detailed information on the flows of the goods and services that comprise the production process of industries. The I-O accounts are presented in a set of tables: Use, Make, Direct Requirements and Total Requirements. The Use table shows the inputs to industry production and the commodities that are consumed by final users. The Make table shows the commodities that are produced by each industry. The four Requirements tables are derived from the Use and Make tables. The Direct Requirements table shows the amount of a commodity that is required by an industry to produce a dollar of the industry's output. The three Total Requirements tables show the production that is required, directly and indirectly, from each industry and each commodity to deliver a dollar of a commodity to final users. The Use table is the most frequently requested table because of its applications to the estimates of GDP.
    • November 2017
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Pallavi S
      Accessed On: 08 November, 2017
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      The dataset contains sector-level make table after redefinitions data from the Industry Input-Output (I-O) accounts for the years 1997-2016.  The I-O accounts show how industries interact; specifically, they show how industries provide input to, and use output from, each other to produce Gross Domestic Product (GDP). These accounts provide detailed information on the flows of the goods and services that comprise the production process of industries. The I-O accounts are presented in a set of tables: Use, Make, Direct Requirements and Total Requirements. The Use table shows the inputs to industry production and the commodities that are consumed by final users. The Make table shows the commodities that are produced by each industry. The four Requirements tables are derived from the Use and Make tables. The Direct Requirements table shows the amount of a commodity that is required by an industry to produce a dollar of the industry's output. The three Total Requirements tables show the production that is required, directly and indirectly, from each industry and each commodity to deliver a dollar of a commodity to final users. The Use table is the most frequently requested table because of its applications to the estimates of GDP.
    • November 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Pallavi S
      Accessed On: 07 November, 2018
      Select Dataset
      The dataset contains sector-level make table before redefinitions data from the Industry Input-Output (I-O) accounts for the years 1997-2017. The I-O accounts show how industries interact; specifically, they show how industries provide input to, and use output from, each other to produce Gross Domestic Product (GDP). These accounts provide detailed information on the flows of the goods and services that comprise the production process of industries. The I-O accounts are presented in a set of tables: Use, Make, Direct Requirements and Total Requirements. The Use table shows the inputs to industry production and the commodities that are consumed by final users. The Make table shows the commodities that are produced by each industry. The four Requirements tables are derived from the Use and Make tables. The Direct Requirements table shows the amount of a commodity that is required by an industry to produce a dollar of the industry's output. The three Total Requirements tables show the production that is required, directly and indirectly, from each industry and each commodity to deliver a dollar of a commodity to final users. The Use table is the most frequently requested table because of its applications to the estimates of GDP.
    • November 2017
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Pallavi S
      Accessed On: 08 November, 2017
      Select Dataset
      The dataset contains sector-level use table before redefinitions data from the Industry Input-Output (I-O) accounts for the years 1997-2016.  The I-O accounts show how industries interact; specifically, they show how industries provide input to, and use output from, each other to produce Gross Domestic Product (GDP). These accounts provide detailed information on the flows of the goods and services that comprise the production process of industries. The I-O accounts are presented in a set of tables: Use, Make, Direct Requirements and Total Requirements. The Use table shows the inputs to industry production and the commodities that are consumed by final users. The Make table shows the commodities that are produced by each industry. The four Requirements tables are derived from the Use and Make tables. The Direct Requirements table shows the amount of a commodity that is required by an industry to produce a dollar of the industry's output. The three Total Requirements tables show the production that is required, directly and indirectly, from each industry and each commodity to deliver a dollar of a commodity to final users. The Use table is the most frequently requested table because of its applications to the estimates of GDP.
    • November 2015
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Pallavi S
      Accessed On: 17 December, 2015
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    • October 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 02 May, 2019
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      Industry-by-Commodity Total Requirements, After Redefinitions (Sector Level)
    • October 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 02 May, 2019
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      Industry-by-Commodity Total Requirements, After Redefinitions (Summary Level) (in producers' prices)
    • October 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 02 May, 2019
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      Industry-by-Industry Total Requirements, After Redefinitions (Sector Level) (in producers' prices)
    • October 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 02 May, 2019
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      Industry-by-Industry Total Requirements, After Redefinitions (Summary Level) (in producers' prices)
    • May 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 02 May, 2019
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    • December 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 22 March, 2019
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  • N
  • P
    • November 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 02 May, 2019
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      PCE by state is the state counterpart of the Nation's personal consumption expenditures (PCE). PCE by state measures the goods and services purchased by or on behalf of households and the net expenditures of nonprofit institutions serving households (NPISHs) by state of residence for the 50 states and the District of Columbia. PCE by state reflects spending on activities that are attributable to the residents of a state, even when those activities take place outside of the state. Per capita PCE by state measures average PCE spending per person in a state and it is calculated as PCE in a state divided by the population of the state.
    • April 2019
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 29 April, 2019
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      National Income and Product Accounts - Price Indexes for Motor Vehicle Output, United States
    • November 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 02 May, 2019
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      Fixed Assets: U.S. Private Fixed Assets by Industry
    • November 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 02 May, 2019
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      Fixed Assets: U.S. Private Fixed Assets by Type
    • November 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 02 May, 2019
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      Fixed Assets: U.S. Private Fixed Assets
  • Q
  • R
    • April 2019
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 29 April, 2019
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      Growth-Percent Change From Preceding Period National Income and Product Accounts - Percent Change From Preceding Period in Real Motor Vehicle Output, United States
    • November 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 02 May, 2019
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      Fixed Assets: U.S. Chained Dollar Tables
    • June 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 14 June, 2018
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      Main indicators from US Regional Economic Accounts
    • November 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 08 January, 2019
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    • May 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 29 August, 2018
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      RPPs are price indexes that measure geographic price level differences for one period in time within the United States. For example, if the RPP for Washington DC is 120, prices in DC are on average 20% higher than the U.S. average. An RPP is a weighted average of the price level of goods and services for the average consumer in one geographic region compared to all other regions in the U.S. BEA’s estimates of real personal income consist of the current dollar estimates adjusted by the RPPs and converted to constant dollars using the U.S. PCE price index.   The "Index" unit of measure relates the value of a variable (or group of variables) to a base level. The base level is set so that the index produces results that are easy to understand and compare. The base level will always be the first period you selected.  The formula for calculating an index is as follows: x1=(dv1/dv1)*100 = 100 x2=(dv2/dv1)*100 x3=(dv3/dv1)*100 x1 = index of first year selected, x2 = index of second year dv1 = datavalue for first year selected, dv2 = datavalue for second year
    • November 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 02 May, 2019
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  • S
    • March 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 04 April, 2018
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      Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Foreign Affiliates in All Countries in Which Investment Was Reported
    • August 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Pallavi S
      Accessed On: 05 October, 2018
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      Selected Data for Majority-Owned Foreign Affiliates and U.S. Parents in All Industries, 2016.
    • August 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 05 October, 2018
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      Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Majority-Owned Foreign Affiliates in All Countries in which Investment was Reported.
    • August 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Pallavi S
      Accessed On: 05 October, 2018
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      Selected Financial and Operating Data of U.S. Parents, by Industry of U.S. Parent, 2016.
    • September 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 11 October, 2018
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      State Quarterly Personal Income, 1st quarter 2011-2nd quarter 2014. Personal Income is the income that is received by all persons from all sources. It is calculated as the sum of wages and salaries, supplements to wages and salaries, proprietors' income with inventory valuation and capital consumption adjustments, rental income of persons with capital consumption adjustment, personal dividend income, personal interest income, and personal current transfer receipts, less contributions for government social insurance. The personal income of an area is the income that is received by, or on behalf of, all the individuals who live in the area; therefore, the estimates of personal income are presented by the place of residence of the income recipients. Property income is rental income of persons, personal dividend income, and personal interest income. Net earnings is earnings by place of work (the sum of wages and salaries, supplements to wages and salaries, and proprietors’ income) less contributions for government social insurance, plus an adjustment to convert earnings by place of work to a place-of-residence basis. Personal income is measured before the deduction of personal income taxes and other personal taxes and is reported in current dollars (no adjustment is made for price changes). State personal income statistics provide a framework for analyzing current economic conditions in each state and can serve as a basis for decision making.
    • March 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 20 July, 2018
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      State Personal Income accounts - Annual, 2017
    • July 2018
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 12 July, 2018
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      First Year Expenditures and Planned Total Expenditures for Investments Initiated in 2017, State by Type of Investment
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  • U
  • V
    • May 2019
      Source: U.S. Department of Commerce, Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 02 May, 2019
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      United States: Industry Economic Accounts, Value Added by Industry