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Line 1 - All Employees: Information in San Jose-Sunnyvale-Santa Clara, CA (MSA)
Line 1
(a) All Employees: Information in San Jose-Sunnyvale-Santa Clara, CA (MSA), Thousands of Persons, Seasonally Adjusted (SANJ906INFO)
The Federal Reserve Bank of St. Louis seasonally adjusts 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/SANJ906INFON). 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.

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    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.

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    Line 1 - All Employees: Information in San Jose-Sunnyvale-Santa Clara, CA (MSA)
    Line 2
    (a) All Employees: Total Nonfarm in San Jose-Sunnyvale-Santa Clara, CA (MSA), Thousands of Persons, Seasonally Adjusted (SANJ906NA)

    Select a date that will equal 100 for your custom index:
      Enter date as YYYY-MM-DD
    (b) All Employees: Information in San Jose-Sunnyvale-Santa Clara, CA (MSA), Thousands of Persons, Seasonally Adjusted (SANJ906INFO)
    The Federal Reserve Bank of St. Louis seasonally adjusts 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/SANJ906INFON). 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
      All Employees: Information in San Jose-Sunnyvale-Santa Clara, CA (MSA)
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      Line 2
      All Employees: Total Nonfarm in San Jose-Sunnyvale-Santa Clara, CA (MSA)-All Employees: Information in San Jose-Sunnyvale-Santa Clara, CA (MSA)
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      Notes

      All Employees: Information in San Jose-Sunnyvale-Santa Clara, CA (MSA)  (SANJ906INFO)

      Source: U.S. Bureau of Labor Statistics  

      Release: State Employment and Unemployment  

      Units:  Thousands of Persons, Seasonally Adjusted

      Frequency:  Monthly

      Notes:

      The Federal Reserve Bank of St. Louis seasonally adjusts 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, All Employees: Information in San Jose-Sunnyvale-Santa Clara, CA (MSA) [SANJ906INFO], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/SANJ906INFO, April 1, 2025.

      All Employees: Total Nonfarm in San Jose-Sunnyvale-Santa Clara, CA (MSA)  (SANJ906NA)

      Source: U.S. Bureau of Labor Statistics  

      Release: State Employment and Unemployment  

      Units:  Thousands of Persons, Seasonally Adjusted

      Frequency:  Monthly

      Suggested Citation:

      U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in San Jose-Sunnyvale-Santa Clara, CA (MSA) [SANJ906NA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/SANJ906NA, April 1, 2025.

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      All Employees: Information in San Jose-Sunnyvale-Santa Clara, CA (MSA)

      Annual, Not Seasonally Adjusted Monthly, Not Seasonally Adjusted

      All Employees: Total Nonfarm in San Jose-Sunnyvale-Santa Clara, CA (MSA)

      3-Month Average Change, Thousands of Persons, Monthly, Seasonally Adjusted Annual, Not Seasonally Adjusted Monthly, Not Seasonally Adjusted

      Related Categories

      San Jose-Sunnyvale-Santa Clara, CA MSAs California States U.S. Regional Data

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      San Jose Information California St. Louis Fed Employment Metropolitan Statistical Area Seasonally Adjusted Bureau of Labor Statistics Monthly Public Domain: Citation Requested United States of America Payrolls Nonfarm

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