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Home > Releases > U.S. Trade in Goods by State, by NAICS-Based Product > Imports of Goods for New York

Imports of Goods for New York (IMPTOTNY)

Observations

Feb 2025: 33,670.03132
Updated: Apr 3, 2025 9:32 AM CDT
Feb 2025:  33,670.03132  
Jan 2025:  42,024.11600  
Dec 2024:  22,619.43053  
Nov 2024:  13,024.08014  
Oct 2024:  14,061.19830  

Units:

Millions of Dollars,
Not Seasonally Adjusted

Frequency:

Monthly
1Y5Y10YMax
to
Date:
Bar 1 - Imports of Goods for New York Vintage: 2025-03-06
Bar 1
(a) Imports of Goods for New York, Millions of Dollars, Not Seasonally Adjusted (IMPTOTNY)
Imports of manufactured and non-manufactured commodities based on destination. All NAICS-Based Product Codes.

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

    Bar 1 - Imports of Goods for New York Vintage: 2025-03-06
    Bar 2
    (a) Imports of Goods for New York, Millions of Dollars, Not Seasonally Adjusted (IMPTOTNY)
    Imports of manufactured and non-manufactured commodities based on destination. All NAICS-Based Product Codes.

    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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      Bar 1
      Imports of Goods for New York Vintage: 2025-03-06
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      Bar 2
      Imports of Goods for New York Vintage: 2025-04-03
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      Notes

      Title Release Dates
      Imports of Goods for New York 2019-03-27 2025-04-03
       
      Source    
      U.S. Census Bureau 2019-03-27 2025-04-03
       
      Release    
      U.S. Trade in Goods by State, by NAICS-Based Product 2019-03-27 2025-04-03
       
      Units    
      Millions of Dollars 2019-03-27 2025-04-03
       
      Frequency    
      Monthly 2019-03-27 2025-04-03
       
      Seasonal Adjustment    
      Not Seasonally Adjusted 2019-03-27 2025-04-03
       
      Notes    
      Imports of manufactured and non-manufactured commodities based on destination.

      All NAICS-Based Product Codes.

      		2019-03-27 2025-04-03

      Release Tables

      U.S. Trade in Goods by State, by NAICS-Based Product

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      Tags

      Imports New York Goods Commodities State Census Monthly Public Domain: Citation Requested Not Seasonally Adjusted United States of America

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