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Regional Economic Information System - economic characteristics and patterns for each county, metro & state
November 2016. .. which counties are experiencing the fastest economic growth? by what economic component? what does this look like on a per capita level? Personal income is the income available to persons for consumption expenditures, taxes, interest payments, transfer payments to governments and the rest of the world, or for saving. Use the interactive table is this section to examine characteristics of counties and regions of interest. The table provides access to 31 personal income related summary measures. These data are a selection of a broader set of annual time series data, 1969 through 2015, from the Regional Economic Information System (REIS). REIS is a part of the ProximityOne State & Regional Income & Product Accounts (SRIPA) and Situation & Outlook (S&O) featuring current (2016) estimates and demographic-economic projections. Go to table (below). See related sections: • Patterns of County-to-U.S. PCPI Index: 1975-2015 This section is focused on the REIS Economic Profile and dataset. Other REIS datasets include: • Personal Income, Population, Per Capita Personal Income • Personal Income and Employment by Major Component • Personal Income by Major Component and Earnings by Industry • Compensation of Employees by Industry • Total Full-Time and Part-Time Employment by Industry • Economic Profile (this section) • Wages and Salaries, Wage Employment, and Average Wage Per Job • Personal Current Transfer Receipts • Farm Income and Expenses • Gross Flow of Earnings Visual Analysis of Per Capita Personal Income Patterns The following map shows the Houston metro (view profile) with bold brown boundary. Counties are labeled with county name and 2014 per capita personal income.  Click graphic for larger view. View developed with CV XE GIS software. Accessing & Using REIS Data ProximityOne resources to analyze regional economic patterns and characteristics: 1. Use the interactive table in this section to examine characteristics of counties, metros and states. View/rank/compare per capita personal income over time. 2. Use the metro demographic-economic profiles. Examine REIS-based personal income components in context with other subject matter. Select/view any metro via interactive table. 3. Use the REIS datasets made available as a part of the ProximityOne Data Services Program (PDS). 4. Create thematic pattern maps & perform geospatial analysis of REIS data in ready-to-use GIS projects. 5. Use our modeling tools to forecast personal income components; assess impact of change on your interests. More About Using GIS Resources & Pattern Analysis The following graphics illustrate use of the REIS GIS Project (details below). These views show the change in per capita personal income during the period 2008 to 2015. The underlying datasets provide annual data in most cases from 1969 through 2015. Analyze patterns for only one/any selected/ year, change or percent change over time (an average of years or selected point in time). Zoom into regions of interest, set alternative pattern views, flexibly use labels, add data from other sources. Per Capita Personal Income Change 2008-2014 by County .. relative to U.S 2008-2014 change  - Click graphic for larger view showing legend. - View developed with CV XE GIS software. Additional views: • Per Capita Personal Income 2015 by County .. small .. expanded • San Francisco Metro/Area by County • Per Capita Personal Income Change 2008-2014 by County .. small .. expanded • Per Capita Personal Income Change 2008-2014 by Metro .. small .. expanded • Per Capita Personal Income Change 2008-2014 by State .. small .. expanded • See this section to learn about making custom metro maps. Using the Interactive Table The start-up view of the interactive table below shows 31 rows of economic characteristics for the U.S. for 2010, 2015, 2010-15 change and percent change. Use the Find GeoID button below the table to view a similar profile for any county or state. The 31 subject matter rows/items are a part of the economic profile shown below in this section. As summarized there, these 31 items show attributes of: • Place of residence profile -- Personal income (thousands of dollars) derivation • Per capita incomes (dollars) • Place of work profile -- Earnings by place of work • Total employment -- number of jobs by type • Average earnings per job (dollars) See additional information/descriptions about each item shown in the table. Economic Profile; 2010-2015 & Change; U.S. by County & State -- Interactive Table Use mouseover on header column to view extended item/column name. Click ShowAll button between Find/Queries. See usage notes below table. See related geographic, demographic, economic interactive tables. Usage Notes • Data are included in the table for counties, states and the U.S. • For best view use a full window browser view. • Item code and name column values are shown in the table below. • Click ShowAll button between queries; this resets the table. • Click on a column header to sort on that column; click column header again to sort in other direction. • Click State to select on geographies in a selected state (click ShowAll between selections). • Select a state or county view: .. click ShowAll button; reset to default view. .. key in state FIPS code + county FIPS code in text box to right of Find-GeoID button .. the default value 48201 is for Harris County, TX (Houston); another example is 17031 (Ccok County, IL (Chicago) .. for the U.S. or a state, the "county code" is 000; for example, Texas is 48000 and Illinois is 17000 .. click Find GeoId button to display data for this area. • Select an item; view across geographies: .. click ShowAll button; reset to default view. .. select an item using the ItemCode dropdown below the table. .. for example, select 010 -- per capita personal income (PCPI) ... try that now, the table refreshes with rows showing only PCPI. ... click on a header column to sort on a selected year or change. • All counties with selected item; view across geographies: .. click ShowAll button; reset to default view. .. key in Item Code (see table below) in the text box to the right of "All Counties with Item>" button. .. the default value is 110 -- per capita personal income. .. click "All Counties with Item>" button to display selected item for all counties. • All states with selected item; view across geographies: .. click ShowAll button; reset to default view. .. key in Item Code (see table below) in the text box to the right of "All States with Item>" button. .. the default value is 110 -- per capita personal income. .. click "All States with Item>" button to display selected item for all states. Economic Profile Items
1/ Consists largely of Supplemental Security Income (SSI) payments; Earned Income Tax Credits (EITC); family assistance; general assistance; expenditures for food under the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC); Supplemental Nutrition Assistance Program (SNAP); and other assistance benefits. 2/ Rental income of persons includes the capital consumption adjustment. 3/ Census Bureau midyear population estimates. Estimates for 2010-2015 reflect county population estimates available as of March 2016. 4/ Type of income divided by population yields a per capita measure for that type of income. 5/ Includes actual employer contributions and actuarially imputed employer contributions to reflect benefits accrued by defined benefit pension plan participants through service to employers in the current period. 6/ Excludes limited partners. All dollar estimates are in current dollars (not adjusted for inflation). REIS GIS Project & Datasets -- Creating Map Pattern Views & Visual Analysis 1. Install the ProximityOne CV XE GIS ... run the CV XE GIS installer ... take all defaults during installation 2. Download the U.S. by State/Metro/County REIS GIS project fileset ... requires ProximityOne User Group ID (join now) ... unzip REIS GIS project files to local folder c:\reis15 3. Open the REIS GIS project ... after completing the above steps, click File>Open>Dialog ... open the file named c:\reis15\reis15a_metro.gis 4. Done. The start-up view is similar to the Houston by county graphic shown at the top of this section. About the Data -- scroll section
REIS estimates are developed by the U.S. Bureau of Economic Analysis based on
data from the Census Bureau, Bureau of Labor Statistics and other sources.
Personal income is the income received by all persons from all sources. Personal income is the sum of net earnings by place of residence, property income, and personal current transfer receipts. Net earnings is earnings by place of work (the sum of wages and salaries, supplements to wages and salaries, and proprietors income) less contributions for government social insurance, plus an adjustment to convert earnings by place of work to a place-of-residence basis. Property income is rental income of persons, personal dividend income, and personal interest income. Personal income is measured before the deduction of personal income taxes and other personal taxes and is reported in current dollars (no adjustment is made for price changes). Per capita personal income is calculated as the personal income of the residents of a given area divided by the Census Bureau estimate of the resident population of the area. Place of Residence and Place of Work. Personal income, by definition, is a measure of the income received by persons, and the estimates of state and county personal income should reflect the residence of the income recipients. However, some of the data that are used to estimate some components of personal income are reported by the recipient's place of work rather than by his place of residence. Therefore, these components are estimated on a place-of-work basis, the amounts aggregated, and the aggregate (called the income subject to adjustment) adjusted to a place-of-residence basis. Thus the combination of the components of personal income plus the residence adjustment yields personal income on a place-of-residence basis. The estimates of wages and salaries, supplements to wages and salaries, and contributions for government social insurance (by employers and employees) are mainly derived from data that are reported by place of work. These data are reported by industry in the state and county in which the employing establishment is located. The estimates of nonfarm proprietors' income and contributions for government social insurance (by the self-employed) are derived from source data that are reported by the tax-filing address of the recipient. This address is usually that of the proprietor's residence; therefore, these data are assumed to be reported by place of residence. The estimates of farm proprietors' income are derived from data that are reported by the principal place of production, which is usually the county in which the farm has most of its land and in which most of the work is performed. Because most farm proprietors live on, or near, their land, the place of residence is assumed to be the same as the place of work. The estimates of rental income of persons, personal dividend income, personal interest income, personal current transfer receipts, and contributions for supplementary medical insurance and for veterans' life insurance are derived from data that are reported by the place of residence of the income recipient. Support Using these Resources Learn more about accessing and using demographic-economic data and related analytical tools. Join us in a Data Analytics Lab session. There is no fee for these one-hour Web sessions. Each informal session is focused on a specific topic. The open structure also provides for Q&A and discussion of application issues of interest to participants. ProximityOne User Group Join the ProximityOne User Group to keep up-to-date with new developments relating to geographic-demographic-economic decision-making information resources. Receive updates and access to tools and resources available only to members. Use this form to join the User Group. Additional Information ProximityOne develops geographic-demographic-economic data and analytical tools and helps 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. Follow ProximityOne on Twitter at www.twitter.com/proximityone. Contact ProximityOne (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest. |
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