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Sales: Retail Trade: Total Retail Trade: Value for China (CHNSLRTTO02MLSAM)

Observations

Dec 2018: 3,289,815,992,491.19000
Updated: Sep 14, 2022 2:57 PM CDT
Dec 2018:  3,289,815,992,491.19000  
Nov 2018:  3,286,433,347,663.98970  
Oct 2018:  3,254,691,905,056.31000  
Sep 2018:  3,222,544,865,479.39000  
Aug 2018:  3,209,341,519,553.42970  

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Yuan Renminbi,
Seasonally Adjusted

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Bar 1 - Sales: Retail trade: Total retail trade: Value for China Vintage: 2022-08-10
Bar 1
(a) Sales: Retail trade: Total retail trade: Value for China, Yuan Renminbi, Seasonally Adjusted (CHNSLRTTO02MLSAM)
OECD descriptor ID: SLRTTO02 OECD unit ID: MLSA OECD country ID: CHN 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 - Sales: Retail trade: Total retail trade: Value for China Vintage: 2022-08-10
    Bar 2
    (a) Sales: Retail trade: Total retail trade: Value for China, Yuan Renminbi, Seasonally Adjusted (CHNSLRTTO02MLSAM)
    OECD descriptor ID: SLRTTO02 OECD unit ID: MLSA OECD country ID: CHN 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
      Sales: Retail trade: Total retail trade: Value for China Vintage: 2022-08-10
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      Bar 2
      Sales: Retail trade: Total retail trade: Value for China Vintage: 2022-09-14
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      Notes

      Title Release Dates
      Sales: Retail trade: Total retail trade: Value for China 2018-07-17 2023-09-08
      Sales: Retail Trade: Total Retail Trade: Value for China 2023-09-09 2023-09-09
       
      Source    
      Organization for Economic Co-operation and Development 2018-07-17 2023-09-09
       
      Release    
      Main Economic Indicators 2018-07-17 2023-09-09
       
      Units    
      Yuan Renminbi 2018-07-17 2023-09-08
      Yuan Renminbi, Monthly level 2023-09-09 2023-09-09
       
      Frequency    
      Monthly 2018-07-17 2023-09-09
       
      Seasonal Adjustment    
      Seasonally Adjusted 2018-07-17 2023-09-09
       
      Notes    
      OECD descriptor ID: SLRTTO02 OECD unit ID: MLSA OECD country ID: CHN 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.

      		2018-07-17 2023-09-08
      OECD Descriptor ID: SLRTTO02
      OECD unit ID: CNY
      OECD country ID: CHN

      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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