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Total Quantity Indexes for Real GDP for Denver-Aurora-Lakewood, CO (MSA) (QGMP19740)

Observations

2023: 128.079
Updated: Dec 4, 2024 8:43 AM CST
2023:  128.079  
2022:  123.788  
2021:  118.224  
2020:  110.186  
2019:  110.029  

Units:

Index 2017=100,
Not Seasonally Adjusted

Frequency:

Annual
1Y5Y10YMax
to
Date:
Bar 1 - Total Quantity Indexes for Real GDP for Denver-Aurora-Lakewood, CO (MSA) Vintage: 2023-12-07
Bar 1
(a) Total Quantity Indexes for Real GDP for Denver-Aurora-Lakewood, CO (MSA), Index 2017=100, Not Seasonally Adjusted (QGMP19740)
The All industry total includes all Private industries and Government. A chained-type index is based on the linking (chaining) of indexes to create a time series. Annual chained-type Fisher indices are used in BEA's national income and product accounts (NIPAs) whereby Fisher ideal price indices are calculated using the weights of adjacent years. Those annual changes are then multiplied (chained) together, forming the chained-type index time series. Chain-type indexes or chain-dollar estimates are used when you want to show how output or spending has changed over time. The percent changes in quantity indexes exactly match the percent changes in chained dollars, so they can be used interchangeably for making comparisons. Real estimates remove the effects of price changes, which can obscure changes in output or spending in current dollars. For more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm.

Select a date that will equal 100 for your custom index:
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    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 - Total Quantity Indexes for Real GDP for Denver-Aurora-Lakewood, CO (MSA) Vintage: 2023-12-07
    Bar 2
    (a) Total Quantity Indexes for Real GDP for Denver-Aurora-Lakewood, CO (MSA), Index 2017=100, Not Seasonally Adjusted (QGMP19740)
    The All industry total includes all Private industries and Government. A chained-type index is based on the linking (chaining) of indexes to create a time series. Annual chained-type Fisher indices are used in BEA's national income and product accounts (NIPAs) whereby Fisher ideal price indices are calculated using the weights of adjacent years. Those annual changes are then multiplied (chained) together, forming the chained-type index time series. Chain-type indexes or chain-dollar estimates are used when you want to show how output or spending has changed over time. The percent changes in quantity indexes exactly match the percent changes in chained dollars, so they can be used interchangeably for making comparisons. Real estimates remove the effects of price changes, which can obscure changes in output or spending in current dollars. For more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm.

    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
      Total Quantity Indexes for Real GDP for Denver-Aurora-Lakewood, CO (MSA) Vintage: 2023-12-07
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      Total Quantity Indexes for Real GDP for Denver-Aurora-Lakewood, CO (MSA) Vintage: 2024-12-04
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      Notes

      Title Release Dates
      Total Quantity Indexes for Real GDP for Denver-Aurora-Lakewood, CO (MSA) 2016-01-03 2024-12-04
       
      Source    
      U.S. Bureau of Economic Analysis 2016-01-03 2024-12-04
       
      Release    
      Gross Domestic Product (GDP) by Metropolitan Area 2016-01-03 2019-12-11
      Gross Domestic Product (GDP) by County, Metro, and Other Areas 2019-12-12 2021-02-15
      Gross Domestic Product by County and Metropolitan Area 2021-02-16 2024-12-04
       
      Units    
      Index 2009=100 2016-01-03 2023-12-06
      Index 2017=100 2023-12-07 2024-12-04
       
      Frequency    
      Annual 2016-01-03 2024-12-04
       
      Seasonal Adjustment    
      Not Seasonally Adjusted 2016-01-03 2024-12-04
       
      Notes    
      The All industry total includes all Private industries and Government.

      A chained-type index is based on the linking (chaining) of indexes to create a time series. Annual chained-type Fisher indices are used in BEA's national income and product accounts (NIPAs) whereby Fisher ideal price indices are calculated using the weights of adjacent years. Those annual changes are then multiplied (chained) together, forming the chained-type index time series. Chain-type indexes or chain-dollar estimates are used when you want to show how output or spending has changed over time. The percent changes in quantity indexes exactly match the percent changes in chained dollars, so they can be used interchangeably for making comparisons. Real estimates remove the effects of price changes, which can obscure changes in output or spending in current dollars.

      For more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm.

      		2016-01-03 2024-12-04

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      Denver Quantity Index Colorado Real Metropolitan Statistical Area Bureau of Economic Analysis Industry Gross Domestic Product Annual Public Domain: Citation Requested Not Seasonally Adjusted United States of America

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