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Wholesale Prices: Industry Aggregates: Total for Brazil (WPIATT01BRA661N)

Observations

2022: 224.10450
Updated: Feb 14, 2023 12:02 PM CST
2022:  224.10450  
2021:  202.18649  
2020:  149.30939  
2019:  126.57084  
2018:  118.29344  

Units:

Index 2015=100,
Not Seasonally Adjusted

Frequency:

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Bar 1 - Wholesale Prices: Industry Aggregates: Total: Total for Brazil Vintage: 2022-09-14
Bar 1
(a) Wholesale Prices: Industry Aggregates: Total: Total for Brazil, Index 2015=100, Not Seasonally Adjusted (WPIATT01BRA661N)
OECD descriptor ID: WPIATT01 OECD unit ID: IXOB OECD country ID: BRA All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission.

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    Bar 1 - Wholesale Prices: Industry Aggregates: Total: Total for Brazil Vintage: 2022-09-14
    Bar 2
    (a) Wholesale Prices: Industry Aggregates: Total: Total for Brazil, Index 2015=100, Not Seasonally Adjusted (WPIATT01BRA661N)
    OECD descriptor ID: WPIATT01 OECD unit ID: IXOB OECD country ID: BRA All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission.

    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
      Wholesale Prices: Industry Aggregates: Total: Total for Brazil Vintage: 2022-09-14
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      Bar 2
      Wholesale Prices: Industry Aggregates: Total: Total for Brazil Vintage: 2023-02-13
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      Notes

      Title Release Dates
      Total Wholesale Prices by Industry Aggregate for Brazil 2013-06-03 2022-09-13
      Wholesale Prices: Industry Aggregates: Total: Total for Brazil 2022-09-14 2023-09-08
      Wholesale Prices: Industry Aggregates: Total for Brazil 2023-09-09 2023-09-09
       
      Source    
      Organization for Economic Co-operation and Development 2013-06-03 2023-09-09
       
      Release    
      Main Economic Indicators 2013-06-03 2023-09-09
       
      Units    
      Index 2005=1 2013-06-03 2013-10-31
      Index 2010=1 2013-11-01 2018-01-01
      Index 2010=100 2018-01-02 2018-10-08
      Index 2015=100 2018-10-09 2023-09-09
       
      Frequency    
      Annual 2013-06-03 2023-09-09
       
      Seasonal Adjustment    
      Not Seasonally Adjusted 2013-06-03 2023-09-09
       
      Notes    
      OECD descriptor ID: WPIATT01
      OECD unit ID: IXOB
      OECD country ID: BRA

      All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)
      Copyright, 2016, OECD. Reprinted with permission.

      		2013-06-03 2023-09-08
      OECD Descriptor ID: WPIATT01
      OECD unit ID: IDX
      OECD country ID: BRA

      All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

      		2023-09-09 2023-09-09

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