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Line 1 - Total Construction Spending: Manufacturing in the United States
Line 1
(a) Total Construction Spending: Manufacturing in the United States, Millions of Dollars, Seasonally Adjusted Annual Rate (TLMFGCONS)
Definitions related to the construction data can be found at https://www.census.gov/construction/c30/definitions.html Methodology details can be found at https://www.census.gov/construction/c30/methodology.html

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    Line 1 - Total Construction Spending: Manufacturing in the United States
    Line 2
    (a) All Employees, Manufacturing, Thousands of Persons, Seasonally Adjusted (MANEMP)
    The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES3000000001

    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
      Total Construction Spending: Manufacturing in the United States
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      Line 2
      All Employees, Manufacturing
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      Notes

      Total Construction Spending: Manufacturing in the United States  (TLMFGCONS)

      Source: U.S. Census Bureau  

      Release: Construction Spending  

      Units:  Millions of Dollars, Seasonally Adjusted Annual Rate

      Frequency:  Monthly

      Notes:

      Definitions related to the construction data can be found at https://www.census.gov/construction/c30/definitions.html
      Methodology details can be found at https://www.census.gov/construction/c30/methodology.html

      Suggested Citation:

      U.S. Census Bureau, Total Construction Spending: Manufacturing in the United States [TLMFGCONS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/TLMFGCONS, April 7, 2025.

      All Employees, Manufacturing  (MANEMP)

      Source: U.S. Bureau of Labor Statistics  

      Release: Employment Situation  

      Units:  Thousands of Persons, Seasonally Adjusted

      Frequency:  Monthly

      Notes:

      The series comes from the 'Current Employment Statistics (Establishment Survey).'

      The source code is: CES3000000001

      Suggested Citation:

      U.S. Bureau of Labor Statistics, All Employees, Manufacturing [MANEMP], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MANEMP, April 7, 2025.

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      Construction Spending
      Employment Situation

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      Total Construction Spending: Manufacturing in the United States

      Monthly, Not Seasonally Adjusted Percent Change from Preceding Period, Monthly, Seasonally Adjusted

      All Employees, Manufacturing

      Monthly, Not Seasonally Adjusted

      Related Categories

      Construction Production & Business Activity Manufacturing Current Employment Statistics (Establishment Survey) Population, Employment, & Labor Markets

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      More Series from Construction Spending More Series from Employment Situation

      Tags

      Expenditures Construction Manufacturing Seasonally Adjusted Census Monthly Nation Public Domain: Citation Requested United States of America Headline Figure Current Employment Statistics Survey (Establishment Survey) Employment Bureau of Labor Statistics

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