Federal Reserve Economic Data

FRED Economic Data, St. Louis FED

FRED Graph

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Line 1 - S&P CoreLogic Case-Shiller IL-Chicago Home Price Index, H2 2011=100/Average Weekly Earnings of All Employees: Total Private in Chicago-Naperville-Arlington Heights, IL (MD) (DISCONTINUED), H2 2011=100
Line 1
(a) S&P CoreLogic Case-Shiller IL-Chicago Home Price Index, Index Jan 2000=100, Seasonally Adjusted (CHXRSA)
For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Chicago, Illinois in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for Chicago, Illinois. Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.

Select a date that will equal 100 for your custom index:
  Enter date as YYYY-MM-DD
(b) Average Weekly Earnings of All Employees: Total Private in Chicago-Naperville-Arlington Heights, IL (MD) (DISCONTINUED), Dollars per Week, Seasonally Adjusted (SMU17169740500000011SA)
This series is discontinued and will no longer be updated. The Federal Reserve Bank of St. Louis previously calculated this seasonally adjusted (SA) series based on the not seasonally adjusted (NSA) version available here (https://fred.stlouisfed.org/series/SMU17169740500000011). However, most of the earnings-related series do not have a significant seasonal component, so the values for both the SA and the NSA series are very similar. See the NSA series (https://fred.stlouisfed.org/series/SMU17169740500000011) for updated values. The Federal Reserve Bank of St. Louis previously used to seasonally adjust this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU17169740500000011). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

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 - S&P CoreLogic Case-Shiller IL-Chicago Home Price Index, H2 2011=100/Average Weekly Earnings of All Employees: Total Private in Chicago-Naperville-Arlington Heights, IL (MD) (DISCONTINUED), H2 2011=100
    Line 2
    (a) S&P CoreLogic Case-Shiller WA-Seattle Home Price Index, Index Jan 2000=100, Not Seasonally Adjusted (SEXRNSA)
    For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Seattle, Washington in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for Seattle, Washington. Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.

    Select a date that will equal 100 for your custom index:
      Enter date as YYYY-MM-DD
    (b) Average Weekly Earnings of All Employees: Total Private in Seattle-Bellevue-Everett, WA (MD), Dollars per Week, Not Seasonally Adjusted (SMU53426440500000011A)

    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 - S&P CoreLogic Case-Shiller IL-Chicago Home Price Index, H2 2011=100/Average Weekly Earnings of All Employees: Total Private in Chicago-Naperville-Arlington Heights, IL (MD) (DISCONTINUED), H2 2011=100
      Line 3
      (a) S&P CoreLogic Case-Shiller TX-Dallas Home Price Index, Index Jan 2000=100, Seasonally Adjusted (DAXRSA)
      For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Dallas, Texas in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for Dallas, Texas. Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.

      Select a date that will equal 100 for your custom index:
        Enter date as YYYY-MM-DD
      (b) Average Weekly Earnings of All Employees: Total Private in Dallas-Plano-Irving, TX (MD) (DISCONTINUED), Dollars per Week, Seasonally Adjusted (SMU48191240500000011SA)
      This series is discontinued and will no longer be updated. The Federal Reserve Bank of St. Louis previously calculated this seasonally adjusted (SA) series based on the not seasonally adjusted (NSA) version available here (https://fred.stlouisfed.org/series/SMU48191240500000011). However, most of the earnings-related series do not have a significant seasonal component, so the values for both the SA and the NSA series are very similar. See the NSA series (https://fred.stlouisfed.org/series/SMU48191240500000011) for updated values. The Federal Reserve Bank of St. Louis previously used to seasonally adjust this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU48191240500000011). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

      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 - S&P CoreLogic Case-Shiller IL-Chicago Home Price Index, H2 2011=100/Average Weekly Earnings of All Employees: Total Private in Chicago-Naperville-Arlington Heights, IL (MD) (DISCONTINUED), H2 2011=100
        Line 4
        (a) S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index, Index Jan 2000=100, Seasonally Adjusted (LXXRSA)
        For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Los Angeles, California in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for Los Angeles, California. Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.

        Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD
        (b) Average Weekly Earnings of All Employees: Total Private in Los Angeles-Long Beach-Glendale, CA (MD) (DISCONTINUED), Dollars per Week, Seasonally Adjusted (SMU06310840500000011SA)
        This series is discontinued and will no longer be updated. The Federal Reserve Bank of St. Louis previously calculated this seasonally adjusted (SA) series based on the not seasonally adjusted (NSA) version available here (https://fred.stlouisfed.org/series/SMU06310840500000011). However, most of the earnings-related series do not have a significant seasonal component, so the values for both the SA and the NSA series are very similar. See the NSA series (https://fred.stlouisfed.org/series/SMU06310840500000011) for updated values. The Federal Reserve Bank of St. Louis previously used to seasonally adjust this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06310840500000011). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

        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 - S&P CoreLogic Case-Shiller IL-Chicago Home Price Index, H2 2011=100/Average Weekly Earnings of All Employees: Total Private in Chicago-Naperville-Arlington Heights, IL (MD) (DISCONTINUED), H2 2011=100
          Line 5
          (a) S&P CoreLogic Case-Shiller CA-San Francisco Home Price Index, Index Jan 2000=100, Seasonally Adjusted (SFXRSA)
          For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for San Francisco, California in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for San Francisco, California. Permission to reproduce this series can be requested from index_services@spdji.com. More contact details (http://us.spindices.com/contact-us/) are available, including phone numbers for all regional offices.

          Select a date that will equal 100 for your custom index:
            Enter date as YYYY-MM-DD
          (b) Average Weekly Earnings of All Employees: Total Private in San Francisco-Redwood City-South San Francisco, CA (MD) (DISCONTINUED), Dollars per Week, Seasonally Adjusted (SMU06418840500000011SA)
          This series is discontinued and will no longer be updated. The Federal Reserve Bank of St. Louis previously calculated this seasonally adjusted (SA) series based on the not seasonally adjusted (NSA) version available here (https://fred.stlouisfed.org/series/SMU06418840500000011). However, most of the earnings-related series do not have a significant seasonal component, so the values for both the SA and the NSA series are very similar. See the NSA series (https://fred.stlouisfed.org/series/SMU06418840500000011) for updated values. The Federal Reserve Bank of St. Louis previously used to seasonally adjust this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06418840500000011). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

          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 - S&P CoreLogic Case-Shiller IL-Chicago Home Price Index, H2 2011=100/Average Weekly Earnings of All Employees: Total Private in Chicago-Naperville-Arlington Heights, IL (MD) (DISCONTINUED), H2 2011=100
            Line 6
            (a) S&P CoreLogic Case-Shiller MI-Detroit Home Price Index, Index Jan 2000=100, Seasonally Adjusted (DEXRSA)
            For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Detroit, Michigan in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for Detroit, Michigan. Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.

            Select a date that will equal 100 for your custom index:
              Enter date as YYYY-MM-DD
            (b) Average Weekly Earnings of All Employees: Total Private in Detroit-Dearborn-Livonia, MI (MD) (DISCONTINUED), Dollars per Week, Seasonally Adjusted (SMU26198040500000011SA)
            This series is discontinued and will no longer be updated. The Federal Reserve Bank of St. Louis previously calculated this seasonally adjusted (SA) series based on the not seasonally adjusted (NSA) version available here (https://fred.stlouisfed.org/series/SMU26198040500000011). However, most of the earnings-related series do not have a significant seasonal component, so the values for both the SA and the NSA series are very similar. See the NSA series (https://fred.stlouisfed.org/series/SMU26198040500000011) for updated values. The Federal Reserve Bank of St. Louis previously used to seasonally adjust this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU26198040500000011). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

            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
              S&P CoreLogic Case-Shiller IL-Chicago Home Price Index, H2 2011=100/Average Weekly Earnings of All Employees: Total Private in Chicago-Naperville-Arlington Heights, IL (MD) (DISCONTINUED), H2 2011=100
              Line details & color

              Line style, thickness, color and position


              Line 2
              S&P CoreLogic Case-Shiller WA-Seattle Home Price Index, 2011=100/Average Weekly Earnings of All Employees: Total Private in Seattle-Bellevue-Everett, WA (MD), 2011=100
              Line details & color

              Line style, thickness, color and position


              Line 3
              S&P CoreLogic Case-Shiller TX-Dallas Home Price Index, H2 2011=100/Average Weekly Earnings of All Employees: Total Private in Dallas-Plano-Irving, TX (MD) (DISCONTINUED), H2 2011=100
              Line details & color

              Line style, thickness, color and position


              Line 4
              S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index, H2 2011=100/Average Weekly Earnings of All Employees: Total Private in Los Angeles-Long Beach-Glendale, CA (MD) (DISCONTINUED), H2 2011=100
              Line details & color

              Line style, thickness, color and position


              Line 5
              S&P CoreLogic Case-Shiller CA-San Francisco Home Price Index, H2 2011=100/Average Weekly Earnings of All Employees: Total Private in San Francisco-Redwood City-South San Francisco, CA (MD) (DISCONTINUED), H2 2011=100
              Line details & color

              Line style, thickness, color and position


              Line 6
              S&P CoreLogic Case-Shiller MI-Detroit Home Price Index, H2 2011=100/Average Weekly Earnings of All Employees: Total Private in Detroit-Dearborn-Livonia, MI (MD) (DISCONTINUED), H2 2011=100
              Line details & color

              Line style, thickness, color and position



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              Notes

              S&P CoreLogic Case-Shiller IL-Chicago Home Price Index  (CHXRSA)

              Source: S&P Dow Jones Indices LLC  

              Release: S&P CoreLogic Case-Shiller Home Price Indices  

              Units:  Index Jan 2000=100, Seasonally Adjusted

              Frequency:  Monthly

              Notes:

              For more information regarding the index, please visit Standard & Poor's.

              Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Chicago, Illinois in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for Chicago, Illinois.

              Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.

              Suggested Citation:

              S&P Dow Jones Indices LLC, S&P CoreLogic Case-Shiller IL-Chicago Home Price Index [CHXRSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CHXRSA, April 3, 2025.

              Average Weekly Earnings of All Employees: Total Private in Chicago-Naperville-Arlington Heights, IL (MD) (DISCONTINUED)  (SMU17169740500000011SA)

              Source: U.S. Bureau of Labor Statistics  

              Source: Federal Reserve Bank of St. Louis  

              Release: State and Metro Area Employment, Hours, and Earnings  

              Units:  Dollars per Week, Seasonally Adjusted

              Frequency:  Monthly

              Notes:

              This series is discontinued and will no longer be updated. The Federal Reserve Bank of St. Louis previously calculated this seasonally adjusted (SA) series based on the not seasonally adjusted (NSA) version available here. However, most of the earnings-related series do not have a significant seasonal component, so the values for both the SA and the NSA series are very similar. See the NSA series for updated values.

              The Federal Reserve Bank of St. Louis previously used to seasonally adjust this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here. More information on X-13ARIMA-SEATS can be found here.

              Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here.

              Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

              Suggested Citation:

              U.S. Bureau of Labor Statistics and Federal Reserve Bank of St. Louis, Average Weekly Earnings of All Employees: Total Private in Chicago-Naperville-Arlington Heights, IL (MD) (DISCONTINUED) [SMU17169740500000011SA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/SMU17169740500000011SA, April 3, 2025.

              S&P CoreLogic Case-Shiller WA-Seattle Home Price Index  (SEXRNSA)

              Source: S&P Dow Jones Indices LLC  

              Release: S&P CoreLogic Case-Shiller Home Price Indices  

              Units:  Index Jan 2000=100, Not Seasonally Adjusted

              Frequency:  Monthly

              Notes:

              For more information regarding the index, please visit Standard & Poor's.

              Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Seattle, Washington in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for Seattle, Washington.

              Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.

              Suggested Citation:

              S&P Dow Jones Indices LLC, S&P CoreLogic Case-Shiller WA-Seattle Home Price Index [SEXRNSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/SEXRNSA, April 3, 2025.

              Average Weekly Earnings of All Employees: Total Private in Seattle-Bellevue-Everett, WA (MD)  (SMU53426440500000011A)

              Source: U.S. Bureau of Labor Statistics  

              Source: Federal Reserve Bank of St. Louis  

              Release: State and Metro Area Employment, Hours, and Earnings  

              Units:  Dollars per Week, Not Seasonally Adjusted

              Frequency:  Annual

              Suggested Citation:

              U.S. Bureau of Labor Statistics and Federal Reserve Bank of St. Louis, Average Weekly Earnings of All Employees: Total Private in Seattle-Bellevue-Everett, WA (MD) [SMU53426440500000011A], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/SMU53426440500000011A, April 3, 2025.

              S&P CoreLogic Case-Shiller TX-Dallas Home Price Index  (DAXRSA)

              Source: S&P Dow Jones Indices LLC  

              Release: S&P CoreLogic Case-Shiller Home Price Indices  

              Units:  Index Jan 2000=100, Seasonally Adjusted

              Frequency:  Monthly

              Notes:

              For more information regarding the index, please visit Standard & Poor's.

              Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Dallas, Texas in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for Dallas, Texas.

              Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.

              Suggested Citation:

              S&P Dow Jones Indices LLC, S&P CoreLogic Case-Shiller TX-Dallas Home Price Index [DAXRSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/DAXRSA, April 3, 2025.

              Average Weekly Earnings of All Employees: Total Private in Dallas-Plano-Irving, TX (MD) (DISCONTINUED)  (SMU48191240500000011SA)

              Source: U.S. Bureau of Labor Statistics  

              Source: Federal Reserve Bank of St. Louis  

              Release: State and Metro Area Employment, Hours, and Earnings  

              Units:  Dollars per Week, Seasonally Adjusted

              Frequency:  Monthly

              Notes:

              This series is discontinued and will no longer be updated. The Federal Reserve Bank of St. Louis previously calculated this seasonally adjusted (SA) series based on the not seasonally adjusted (NSA) version available here. However, most of the earnings-related series do not have a significant seasonal component, so the values for both the SA and the NSA series are very similar. See the NSA series for updated values.

              The Federal Reserve Bank of St. Louis previously used to seasonally adjust this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here. More information on X-13ARIMA-SEATS can be found here.

              Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here.

              Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

              Suggested Citation:

              U.S. Bureau of Labor Statistics and Federal Reserve Bank of St. Louis, Average Weekly Earnings of All Employees: Total Private in Dallas-Plano-Irving, TX (MD) (DISCONTINUED) [SMU48191240500000011SA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/SMU48191240500000011SA, April 3, 2025.

              S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index  (LXXRSA)

              Source: S&P Dow Jones Indices LLC  

              Release: S&P CoreLogic Case-Shiller Home Price Indices  

              Units:  Index Jan 2000=100, Seasonally Adjusted

              Frequency:  Monthly

              Notes:

              For more information regarding the index, please visit Standard & Poor's.

              Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Los Angeles, California in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for Los Angeles, California.

              Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.

              Suggested Citation:

              S&P Dow Jones Indices LLC, S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index [LXXRSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/LXXRSA, April 3, 2025.

              Average Weekly Earnings of All Employees: Total Private in Los Angeles-Long Beach-Glendale, CA (MD) (DISCONTINUED)  (SMU06310840500000011SA)

              Source: U.S. Bureau of Labor Statistics  

              Source: Federal Reserve Bank of St. Louis  

              Release: State and Metro Area Employment, Hours, and Earnings  

              Units:  Dollars per Week, Seasonally Adjusted

              Frequency:  Monthly

              Notes:

              This series is discontinued and will no longer be updated. The Federal Reserve Bank of St. Louis previously calculated this seasonally adjusted (SA) series based on the not seasonally adjusted (NSA) version available here. However, most of the earnings-related series do not have a significant seasonal component, so the values for both the SA and the NSA series are very similar. See the NSA series for updated values.

              The Federal Reserve Bank of St. Louis previously used to seasonally adjust this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here. More information on X-13ARIMA-SEATS can be found here.

              Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here.

              Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

              Suggested Citation:

              U.S. Bureau of Labor Statistics and Federal Reserve Bank of St. Louis, Average Weekly Earnings of All Employees: Total Private in Los Angeles-Long Beach-Glendale, CA (MD) (DISCONTINUED) [SMU06310840500000011SA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/SMU06310840500000011SA, April 3, 2025.

              S&P CoreLogic Case-Shiller CA-San Francisco Home Price Index  (SFXRSA)

              Source: S&P Dow Jones Indices LLC  

              Release: S&P CoreLogic Case-Shiller Home Price Indices  

              Units:  Index Jan 2000=100, Seasonally Adjusted

              Frequency:  Monthly

              Notes:

              For more information regarding the index, please visit Standard & Poor's.

              Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for San Francisco, California in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for San Francisco, California.

              Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available, including phone numbers for all regional offices.

              Suggested Citation:

              S&P Dow Jones Indices LLC, S&P CoreLogic Case-Shiller CA-San Francisco Home Price Index [SFXRSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/SFXRSA, April 3, 2025.

              Average Weekly Earnings of All Employees: Total Private in San Francisco-Redwood City-South San Francisco, CA (MD) (DISCONTINUED)  (SMU06418840500000011SA)

              Source: U.S. Bureau of Labor Statistics  

              Source: Federal Reserve Bank of St. Louis  

              Release: State and Metro Area Employment, Hours, and Earnings  

              Units:  Dollars per Week, Seasonally Adjusted

              Frequency:  Monthly

              Notes:

              This series is discontinued and will no longer be updated. The Federal Reserve Bank of St. Louis previously calculated this seasonally adjusted (SA) series based on the not seasonally adjusted (NSA) version available here. However, most of the earnings-related series do not have a significant seasonal component, so the values for both the SA and the NSA series are very similar. See the NSA series for updated values.

              The Federal Reserve Bank of St. Louis previously used to seasonally adjust this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here. More information on X-13ARIMA-SEATS can be found here.

              Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here.

              Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

              Suggested Citation:

              U.S. Bureau of Labor Statistics and Federal Reserve Bank of St. Louis, Average Weekly Earnings of All Employees: Total Private in San Francisco-Redwood City-South San Francisco, CA (MD) (DISCONTINUED) [SMU06418840500000011SA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/SMU06418840500000011SA, April 3, 2025.

              S&P CoreLogic Case-Shiller MI-Detroit Home Price Index  (DEXRSA)

              Source: S&P Dow Jones Indices LLC  

              Release: S&P CoreLogic Case-Shiller Home Price Indices  

              Units:  Index Jan 2000=100, Seasonally Adjusted

              Frequency:  Monthly

              Notes:

              For more information regarding the index, please visit Standard & Poor's.

              Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Detroit, Michigan in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for Detroit, Michigan.

              Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.

              Suggested Citation:

              S&P Dow Jones Indices LLC, S&P CoreLogic Case-Shiller MI-Detroit Home Price Index [DEXRSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/DEXRSA, April 3, 2025.

              Average Weekly Earnings of All Employees: Total Private in Detroit-Dearborn-Livonia, MI (MD) (DISCONTINUED)  (SMU26198040500000011SA)

              Source: U.S. Bureau of Labor Statistics  

              Source: Federal Reserve Bank of St. Louis  

              Release: State and Metro Area Employment, Hours, and Earnings  

              Units:  Dollars per Week, Seasonally Adjusted

              Frequency:  Monthly

              Notes:

              This series is discontinued and will no longer be updated. The Federal Reserve Bank of St. Louis previously calculated this seasonally adjusted (SA) series based on the not seasonally adjusted (NSA) version available here. However, most of the earnings-related series do not have a significant seasonal component, so the values for both the SA and the NSA series are very similar. See the NSA series for updated values.

              The Federal Reserve Bank of St. Louis previously used to seasonally adjust this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here. More information on X-13ARIMA-SEATS can be found here.

              Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here.

              Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

              Suggested Citation:

              U.S. Bureau of Labor Statistics and Federal Reserve Bank of St. Louis, Average Weekly Earnings of All Employees: Total Private in Detroit-Dearborn-Livonia, MI (MD) (DISCONTINUED) [SMU26198040500000011SA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/SMU26198040500000011SA, April 3, 2025.

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              S&P CoreLogic Case-Shiller Home Price Indices

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              S&P CoreLogic Case-Shiller TX-Dallas Home Price Index

              Monthly, Not Seasonally Adjusted

              S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index

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              S&P CoreLogic Case-Shiller CA-San Francisco Home Price Index

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              S&P CoreLogic Case-Shiller MI-Detroit Home Price Index

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              Related Categories

              Chicago-Naperville-Arlington Heights, IL Metropolitan Divisions Illinois States U.S. Regional Data House Price Indexes Prices Seattle-Bellevue-Everett, WA Metropolitan Divisions Washington Dallas-Plano-Irving, TX Metropolitan Divisions Texas Los Angeles-Long Beach-Glendale, CA Metropolitan Divisions California San Francisco-Redwood City-South San Francisco, CA Detroit-Dearborn-Livonia, MI Metropolitan Divisions Michigan

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              Tags

              Chicago S&P/Case-Shiller Home Price Indices S&P Dow Jones Indices LLC Illinois Indiana Wisconsin Copyrighted: Pre-Approval Required House Price Index Housing Metropolitan Statistical Area Price Index Indexes Price Seasonally Adjusted Monthly United States of America Metropolitan Division Earnings State and Metro Area Employment, Hours, and Earnings Discontinued Private St. Louis Fed Employment Bureau of Labor Statistics Public Domain: Citation Requested Seattle Washington (state) Not Seasonally Adjusted Annual Dallas Texas Los Angeles California San Francisco Detroit Michigan

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