Tag Archives: Time series

Regional Economic Information System: Annual Updates

.. which counties are experiencing the fastest economic growth? by what economic component? what does this look like on a per capita level?

.. access & analyze economic characteristics and patterns by county and state .. annual time series 1969 through 2015 with projections.  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 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 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.

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.

Per Capita Personal Income Change 2008-2014 by County
.. relative to U.S 2008-2014 change

Click graphic for larger view. View developed with CV XE GIS software.

Interactive Analysis – County or State Profiles
The following graphic illustrate use of the interactive table to view an economic profile for Harris County, TX. Use the table to examine characteristics of any county or state. Click graphic for larger view.

Interactive Analysis
– comparing per capita personal income across counties
The next graphics illustrates use of the interactive table to rank/compare per capita personal income across counties. Rank/compare states. Choose any of the economic profile items. Click graphic for larger view.

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.

10 Reasons to Avoid ZIP Code GeoDemographics

Possibly the most obvious reason to use ZIP codes for small area demographic and economic analysis is that the analyst has ZIP Code-based data. Typically those data are addresses or address-based data.  The analyst seeks to assign demographic and economic data to the ZIP code records/locations so that more can be known about the demographic-economic characteristics of individual addresses or address vicinity.

ZIP Codes are well known to all of us. They are used by the U.S. Postal Service as a means to more efficiently deliver mail.  Census tracts may be less familiar. Census tracts are defined by the Census Bureau and organized as sub-county building blocks.  More about census tracts.

This sample profile shows side-by-side comparison demographic-economic views of two census tracts and associated ZIP Code Tabulation Area in the Scottsdale, AZ area.  See related section about equivalencing census tract and ZIP Code area geography.

10 Reasons to use Census Tracts Versus ZIP Code Geography & Demographics

1. Census tracts are polygons and cover a well-defined geographic area.
ZIP codes are clusters of lines; the U.S. Postal Service does not define ZIP Code boundaries.  A very large number of 5-digit ZIP Codes are P.O. boxes or specific street addresses and thus represent points not even one line.
2. Census tracts provide more granularity (73,000 areas) than ZIP Codes (43,000).
3. Census tracts are, generally, non-changing static geography from decennial census to census.  ZIP codes may change at any time; new ZIP codes may be created or eliminated at any time.
4. Census tracts cover the U.S. wall to wall.  ZIP codes exist only where U.S. mail service is provided.
5. Census tracts align coterminously to county boundaries.  ZIP codes do not.
6. Census tracts have well known/exact boundaries.  ZIP codes are groups of lines whose exact structural definition is not officially established.
7.  Census tracts provide more statistical uniformity averaging 4,000+ population.  The population of a single ZIP code can exceed 100,000.
8.  Census tracts have a large and richer set of associated, more reliable demographic-economic data. True ZIP Code data are only delivery statistics developed by the U.S. Postal Service.
9.  The total land area and water area are known for each census tract, to the square meter.  The total area covered by a ZIP Code is not known, let alone water area.
10. A unique set of census blocks, and hence demographics, can be associated with each census tract.  There is no good way to associate census blocks with ZIP codes.
11.. Who’s counting? It is entirely feasible to develop and analyze time series data for census tracts.  Time series data by ZIP code is risky due to the inherent potential for changing geographic scope.

So why do we keep using estimated ZIP Code areas and demographics? In the main, ZIP codes provide an easier and more comfortable way to associate or characterize demographic-economic conditions.  We all know our own ZIP code and generally quite a few others.  Few among us know what our census tract code is, let alone for other locations.