Home > Releases > Gross Domestic Product (GDP) by Metropolitan Area > Total Quantity Indexes for Real GDP for Lancaster, PA (MSA)
Total Quantity Indexes for Real GDP for Lancaster, PA (MSA) (QGMP29540)
Observation:
2016: 120.547 (+ more)Updated: Sep 20, 2017
2016:  120.547  
2015:  120.242  
2014:  113.799  
2013:  109.566  
2012:  108.365 
Units:
Index 2009=100,Not Seasonally Adjusted
Frequency:
AnnualA chainedtype index is based on the linking (chaining) of indexes to create a time series. Annual chainedtype 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 chainedtype index time series. Chaintype indexes or chaindollar 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.
Total Quantity Indexes for Real GDP for Lancaster, PA (MSA)
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A chainedtype index is based on the linking (chaining) of indexes to create a time series. Annual chainedtype 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 chainedtype index time series. Chaintype indexes or chaindollar 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.
Total Quantity Indexes for Real GDP for Lancaster, PA (MSA)
Customize data:
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.
Now create a custom formula to combine or transform the series.
Need help? []
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, ab, (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.
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Title  Release Dates  


Total Quantity Indexes for Real GDP for Lancaster, PA (MSA)  20160103  20170920 
Source  


U.S. Bureau of Economic Analysis  20160103  20170920 
Release  


Gross Domestic Product (GDP) by Metropolitan Area  20160103  20170920 
Units  


Index 2009=100  20160103  20170920 
Frequency  


Annual  20160103  20170920 
Seasonal Adjustment  


Not Seasonally Adjusted  20160103  20170920 
Notes  


The All industry total includes all Private industries and Government. A chainedtype index is based on the linking (chaining) of indexes to create a time series. Annual chainedtype 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 chainedtype index time series. Chaintype indexes or chaindollar 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. 
20160103  20170920 
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