Federal Reserve Economic Data

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Line chart with 4 lines.
The chart has 1 X axis displaying xAxis. Data ranges from 1947-01-01 1:00:00 to 2025-02-01 1:00:00.
The chart has 2 Y axes displaying Index and Percent Change from Year Ago.
End of interactive chart.
Line 1 - Gross Domestic Income: Compensation of Employees, Paid, Q1 1980=100 (left)
Line 1
(a) Gross Domestic Income: Compensation of Employees, Paid, Billions of Dollars, Seasonally Adjusted Annual Rate (GDICOMP)
BEA Account Code: A4002C

Select a date that will equal 100 for your custom index:
  Enter date as YYYY-MM-DD
to

Write a custom formula to transform one or more series or combine two or more series.

You can begin by adding a series to combine with your existing series.

Type keywords to search for data

    Now create a custom formula to combine or transform the series.

    For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

    Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

    Finally, you can change the units of your new series.

    Select a date that will equal 100 for your custom index:
        Enter date as YYYY-MM-DD

    Line 1 - Gross Domestic Income: Compensation of Employees, Paid, Q1 1980=100 (left)
    Line 2
    (a) Proprietors' Income with Inventory Valuation Adjustment(IVA) and Capital Consumption Adjustment (CCAdj), Billions of Dollars, Seasonally Adjusted Annual Rate (PROPINC)
    BEA Account Code: A041RC A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

    Select a date that will equal 100 for your custom index:
      Enter date as YYYY-MM-DD
    to

    Write a custom formula to transform one or more series or combine two or more series.

    You can begin by adding a series to combine with your existing series.

    Type keywords to search for data

      Now create a custom formula to combine or transform the series.

      For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

      Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

      Finally, you can change the units of your new series.

      Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD

      Line 1 - Gross Domestic Income: Compensation of Employees, Paid, Q1 1980=100 (left)
      Line 3
      (a) Corporate profits with inventory valuation and capital consumption adjustments: Domestic industries, Billions of Dollars, Seasonally Adjusted Annual Rate (A445RC1Q027SBEA)
      BEA Account Code: A445RC For more information about this series, please see http://www.bea.gov/national/.

      Select a date that will equal 100 for your custom index:
        Enter date as YYYY-MM-DD
      to

      Write a custom formula to transform one or more series or combine two or more series.

      You can begin by adding a series to combine with your existing series.

      Type keywords to search for data

        Now create a custom formula to combine or transform the series.

        For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

        Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

        Finally, you can change the units of your new series.

        Select a date that will equal 100 for your custom index:
            Enter date as YYYY-MM-DD

        Line 1 - Gross Domestic Income: Compensation of Employees, Paid, Q1 1980=100 (left)
        Line 4
        (a) Consumer Price Index for All Urban Consumers: All Items in U.S. City Average, Index 1982-1984=100, Seasonally Adjusted (CPIAUCSL)
        The Consumer Price Index for All Urban Consumers: All Items (CPIAUCSL) is a price index of a basket of goods and services paid by urban consumers. Percent changes in the price index measure the inflation rate between any two time periods. The most common inflation metric is the percent change from one year ago. It can also represent the buying habits of urban consumers. This particular index includes roughly 88 percent of the total population, accounting for wage earners, clerical workers, technical workers, self-employed, short-term workers, unemployed, retirees, and those not in the labor force. The CPIs are based on prices for food, clothing, shelter, and fuels; transportation fares; service fees (e.g., water and sewer service); and sales taxes. Prices are collected monthly from about 4,000 housing units and approximately 26,000 retail establishments across 87 urban areas. To calculate the index, price changes are averaged with weights representing their importance in the spending of the particular group. The index measures price changes (as a percent change) from a predetermined reference date. In addition to the original unadjusted index distributed, the Bureau of Labor Statistics also releases a seasonally adjusted index. The unadjusted series reflects all factors that may influence a change in prices. However, it can be very useful to look at the seasonally adjusted CPI, which removes the effects of seasonal changes, such as weather, school year, production cycles, and holidays. The CPI can be used to recognize periods of inflation and deflation. Significant increases in the CPI within a short time frame might indicate a period of inflation, and significant decreases in CPI within a short time frame might indicate a period of deflation. However, because the CPI includes volatile food and oil prices, it might not be a reliable measure of inflationary and deflationary periods. For a more accurate detection, the core CPI (CPILFESL (https://fred.stlouisfed.org/series/CPILFESL)) is often used. When using the CPI, please note that it is not applicable to all consumers and should not be used to determine relative living costs. Additionally, the CPI is a statistical measure vulnerable to sampling error since it is based on a sample of prices and not the complete average. For more information on the consumer price indexes, see: Bureau of Economic Analysis. "CPI Detailed Report." (https://www.bls.gov/cpi/) 2013. Handbook of Methods (https://www.bls.gov/opub/hom/pdf/cpihom.pdf) Understanding the CPI: Frequently Asked Questions (https://www.bls.gov/cpi/questions-and-answers.htm)

        Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD
        to

        Write a custom formula to transform one or more series or combine two or more series.

        You can begin by adding a series to combine with your existing series.

        Type keywords to search for data

          Now create a custom formula to combine or transform the series.

          For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

          Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

          Finally, you can change the units of your new series.

          Select a date that will equal 100 for your custom index:
              Enter date as YYYY-MM-DD

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          Line 1
          Gross Domestic Income: Compensation of Employees, Paid, Q1 1980=100 (left)
          Line details & color

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          Line 2
          Proprietors' Income with Inventory Valuation Adjustment(IVA) and Capital Consumption Adjustment (CCAdj), Q1 1980=100 (left)
          Line details & color

          Line style, thickness, color and position


          Line 3
          Corporate profits with inventory valuation and capital consumption adjustments: Domestic industries, Q1 1980=100 (left)
          Line details & color

          Line style, thickness, color and position


          Line 4
          Consumer Price Index for All Urban Consumers: All Items in U.S. City Average (right)
          Line details & color

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          Notes

          Source: U.S. Bureau of Economic Analysis  

          Release: Gross Domestic Product  

          Units:  Billions of Dollars, Seasonally Adjusted Annual Rate

          Frequency:  Quarterly

          Notes:

          BEA Account Code: A4002C

          Suggested Citation:

          U.S. Bureau of Economic Analysis, Gross Domestic Income: Compensation of Employees, Paid [GDICOMP], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/GDICOMP, April 5, 2025.

          Source: U.S. Bureau of Economic Analysis  

          Release: Gross Domestic Product  

          Units:  Billions of Dollars, Seasonally Adjusted Annual Rate

          Frequency:  Quarterly

          Notes:

          BEA Account Code: A041RC

          A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

          Suggested Citation:

          U.S. Bureau of Economic Analysis, Proprietors' Income with Inventory Valuation Adjustment(IVA) and Capital Consumption Adjustment (CCAdj) [PROPINC], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/PROPINC, April 5, 2025.

          Source: U.S. Bureau of Economic Analysis  

          Release: Gross Domestic Product  

          Units:  Billions of Dollars, Seasonally Adjusted Annual Rate

          Frequency:  Quarterly

          Notes:

          BEA Account Code: A445RC

          For more information about this series, please see http://www.bea.gov/national/.

          Suggested Citation:

          U.S. Bureau of Economic Analysis, Corporate profits with inventory valuation and capital consumption adjustments: Domestic industries [A445RC1Q027SBEA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/A445RC1Q027SBEA, April 5, 2025.

          Source: U.S. Bureau of Labor Statistics  

          Release: Consumer Price Index  

          Units:  Index 1982-1984=100, Seasonally Adjusted

          Frequency:  Monthly

          Notes:

          The Consumer Price Index for All Urban Consumers: All Items (CPIAUCSL) is a price index of a basket of goods and services paid by urban consumers. Percent changes in the price index measure the inflation rate between any two time periods. The most common inflation metric is the percent change from one year ago. It can also represent the buying habits of urban consumers. This particular index includes roughly 88 percent of the total population, accounting for wage earners, clerical workers, technical workers, self-employed, short-term workers, unemployed, retirees, and those not in the labor force.

          The CPIs are based on prices for food, clothing, shelter, and fuels; transportation fares; service fees (e.g., water and sewer service); and sales taxes. Prices are collected monthly from about 4,000 housing units and approximately 26,000 retail establishments across 87 urban areas. To calculate the index, price changes are averaged with weights representing their importance in the spending of the particular group. The index measures price changes (as a percent change) from a predetermined reference date. In addition to the original unadjusted index distributed, the Bureau of Labor Statistics also releases a seasonally adjusted index. The unadjusted series reflects all factors that may influence a change in prices. However, it can be very useful to look at the seasonally adjusted CPI, which removes the effects of seasonal changes, such as weather, school year, production cycles, and holidays.

          The CPI can be used to recognize periods of inflation and deflation. Significant increases in the CPI within a short time frame might indicate a period of inflation, and significant decreases in CPI within a short time frame might indicate a period of deflation. However, because the CPI includes volatile food and oil prices, it might not be a reliable measure of inflationary and deflationary periods. For a more accurate detection, the core CPI (CPILFESL) is often used. When using the CPI, please note that it is not applicable to all consumers and should not be used to determine relative living costs. Additionally, the CPI is a statistical measure vulnerable to sampling error since it is based on a sample of prices and not the complete average.

          For more information on the consumer price indexes, see:
          Bureau of Economic Analysis. "CPI Detailed Report." 2013.
          Handbook of Methods
          Understanding the CPI: Frequently Asked Questions

          Suggested Citation:

          U.S. Bureau of Labor Statistics, Consumer Price Index for All Urban Consumers: All Items in U.S. City Average [CPIAUCSL], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CPIAUCSL, April 5, 2025.

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          Gross Domestic Income: Compensation of Employees, Paid

          Annual, Not Seasonally Adjusted Millions of Dollars, Quarterly, Not Seasonally Adjusted

          Proprietors' Income with Inventory Valuation Adjustment(IVA) and Capital Consumption Adjustment (CCAdj)

          Millions of Dollars, Quarterly, Not Seasonally Adjusted

          Corporate profits with inventory valuation and capital consumption adjustments: Domestic industries

          Annual, Not Seasonally Adjusted Millions of Dollars, Quarterly, Not Seasonally Adjusted

          Consumer Price Index for All Urban Consumers: All Items in U.S. City Average

          Monthly, Not Seasonally Adjusted Semiannual, Not Seasonally Adjusted

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