County/Regional Personal Income & Economic Prosperity
New annual estimates of personal income down to the county level for 2010 were released by the U.S. Bureau of Economic Analysis (BEA) in April 2012. The latest estimates of per capita personal income (PCPI) and related demographic-economic measures are included in the interactive ranking table below. Use the interactive table to examine population and PCPI patterns by county, metro, state and the United States.
Now a 40+ year annual time series, the personal income estimates time series extend from 1969 to 2010. There are many component time-series that contribute to the development of the summary measures total personal income and per capita personal income. Personal income is a comprehensive measure of the income of all persons from all sources. It includes wages and salaries, employer-provided health insurance, dividends and interest income, social security benefits, and other types of income. Per capita personal income is widely used to assess strength of the overall regional/county economy and change in overall economic prosperity.
The personal income estimates are based substantially on employer-reported quarterly/annual BLS/CEW establishments, employment and earnings (EEE). The EEE data provide the most current (six month lag from reference date to date of availability) quarterly measures on establishments, employees and earnings at the county level. See related EEE ranking table. The EEE data are available by 6-digit NAICS type of industry code.
Knitting these data together in a modeling framework, with other data including Census 2010 and annual American Community Survey data, creates new possibilities with regard to developing current estimates and annual projections to 2020. Join us in the Quarterly Situation & Outlook webinars, and related resources, as we share developments and progress in this area.
Data presented in the ranking table are based on the latest estimates of per capita personal income (April 2012) include per capita personal income (PCPI) for 2007, 2008, 2009 and 2010 and change/percent change. Data are presented for states, regions, metropolitan areas and counties.
Per Capita Personal Income Trends Ranking Table
Click column header to sort; click again to sort other direction.
Use dropdown selections below table to filter geography. Use ShowAll to reset between selections.
See related Ranking Tables Main Page.
View Metro County Components
Key in the CBSA code to right of "Find in CBSA" (default is Houston)
Click Find in CBSA button
CBSA codes are located at http://proximityone.com/metros/guide/misa_msa.htm.
Click on a column header to sort ascend/descend on subject matter of interest.
GeoID - for counties, the state FIPS code + county FIPS code
CBSA - Core-Based Statistical Area
MD - Metropolitan Division
CSA - Combined Statistical Area
Level - Summary Level: county (050)
Population and per capita personal income change, 2007-2010
Pop0710 - population change
%Pop0710 - percent population change
$PCPI0710 - per capita personal income change
%PCPI710 - percent per capita personal income change
Latest Census sourced intercensal estimates (July 1):
Pop07 - total resident population, 2007
Pop08 - total resident population, 2008
Pop09 - total resident population, 2009
Latest Census sourced post Census 2010 estimate (July 1; utilizes Census 2010 results)
Pop10 - total resident population, 2010
Latest estimates of per capita personal income (BEA)
$PCPI07 - per capita personal income, 2007
$PCPI08 - per capita personal income, 2008
$PCPI09 - per capita personal income, 2009
$PCPI10 - per capita personal income, 2010
Data and Table Usage Notes
Counties shown in the ranking table are Census 2010 vintage.
Due to changing county geography, personal income could not be estimated for 2007 and 2008 for these Alaska counties: Petersburg (02195), Prince of Wales-Hyder (02198), Wrangell (02275), Hoonah-Angoon (02105), Skagway (02230).
Patterns of County Per Capita Personal Income 2007-2010 Change by County
The thematic map presented below shows patterns of county level economic prosperity developed using CV XE GIS.
Zoom-in to Dallas MSA
Identify tool (see pointer) is used to click on Collin County and display a mini-profile. The mini-profile shows same data for the county as shown in the ranking table. The highlighted item PCPIP0710 shows the value -1.85. The PCPI decreased by 1.85 percent from 2007 to 2010 in Collin County.
Related Income Measures
Annual estimates of per capita [money] income are available from the American Community Survey (ACS). The ACS estimates do not include non-monetary sources of income. Unlike Census 2000, there are no estimates of income available from Census 2010 (income questions were not included on the questionnaire).
ACS 2010 1-year estimates were released for counties over 65,000 population and MSAs, states and the U.S. in September 2011. ACS 2010 5-year estimates were released for all counties in December 2011.
ACS 2011 1-year estimates will be released for counties over 65,000 population and MSAs, states and the U.S. in September 2012. ACS 2011 5-year estimates were released for all counties in December 2012.
ACS 2010 5-year estimates are based on survey responses during the period 2006 through 2010 and are centric to mid-2008; ACS 2011 5-year estimates are centric to mid-2009 and so on into the future. The time lag, measurement over a 5 year period, and estimates being subject to estimation error are among disadvantages to the use of the ACS income measures. Advantages to use of the ACS income estimates include availability of associated demographic-economic measures (such a educational attainment, number of households by income interval, poverty incidence, etc.) and estimates for sub-county geography including census tracts.
Proximity develops geodemographic/economic data and analytical tools. We help organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses. Wide-ranging organizations use our tools (software, data, methodologies) to analyze their own data integrated with other data. Contact Proximity (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest.