# Change in Real GDP for Ambulatory Health Care (Quantity Index) (Metro)

**Source**: BEA Regional Economic Accounts (REA), Bureau of Economic Analysis (Department of Commerce)

**Topic**: Economy

**Subtopic**: GDP (by NAICS)

**Category**: 62: Health Care and Social Assistance

**Product**: Local Stats

**Date Updated**: October 2018Update Tips

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* Updates for this data series are not available as of 2019. The BEA no longer releases new data at the metro area for this data series. 2005 value is 100 for every Metro Area because 2005 is the base year of index. An index value of 130 indicates a 30% higher GDP than in 2005 in real terms. Indices differ by industries and are not directly comparable. See notes. Based on the 2002 North American Industry Classification System (NAICS), a set of codes developed by the Office of Management and Budget (OMB] to classify all U.S. businesses

**Years Available**: 2001–2016

**Permanent Link**: http://data.sagepub.com/sagestats/7491

**General Notes**: *Median value gives the value for the "average" metro area for this metric, the 50th percentile of all metro areas for which data values were released. Some values were not released due to privacy concerns; others were not released because they are less than $500,000. Neither of those sets of suppressed values are listed or included in national median. **National Total includes only GDP from metro areas; also known as the "metropolitan portion" of Gross Domestic Product. The Quantity Index is a chain-type index time series constructed by the BEA to show how output or spending has changed over time. "Real" estimates remove the effects of price changes, which can obscure changes in output or spending in current dollars. A quantity index is assigned a value of 100 in some selected base period (in this case, 2005) and the values of the index for other periods indicate the average percentage change in quantities compared with the base period. The calculation is more complex than a simple percent change calculation, because it considers the two prior years; see http://www.bea.gov/scb/account_articles/national/0398niw/box3.htm for more details. In sum, 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. The Quantity Index is set to 100 for each industry categorization and each area for 2005. Therefore, the Quantity Index cannot be used to compare the relative size ofGDP between metro areas. Rather, it should be interpreted as a measure of growth or decline in production and is most useful when viewed over time. The Quantity Index is a chain-type index time series constructed by the BEA to show how output or spending has changed over time. "Real" estimates remove the effects of price changes, which can obscure changes in output or spending in current dollars. A quantity index is assigned a value of 100 in some selected base period (in this case, 2005) and the values of the index for other periods indicate the average percentage change in quantities compared with the base period. The calculation is more complex than a simple percent change calculation, because it considers the two prior years; see http://www.bea.gov/scb/account_articles/national/0398niw/box3.htm for more details. In sum, 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.

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