Daily Archives: November 10, 2013

Public Use Microdata Area GeoDemographics

Public Use Microdata Areas (PUMAs) provide most detailed U.S. wall-to-wall geography (2,378 areas) for which current year demographic-economic data are available and annually updated. Use the related Public Use Microdata Sample (PUMS) data to develop custom-defined subject matter estimates for one or all PUMAs.  While PUMS files contain data for respondents across the U.S., the PUMA is the most detailed unit of geography identified in the PUMS files.

PUMAs may now be one of the more obscure geographic areas for which American Community Survey (ACS) demographics are tabulated.  Their usage popularity will change in the years ahead.  In a sense PUMAs and PUMS are joined at the hip.  But 2010 vintage PUMAs are now both new and offer many analytical opportunities on their own.  “Using the PUMS data” will be blog topics in the near future.

2010 Vintage PUMA Geography
The 2,378 2010 vintage PUMAs are developed using Census 2010 geography, cover the U.S. wall-to-wall, conform to state boundaries, and where possible are comprised of whole Census 2010 census tracts. The first use of the 2010 vintage PUMAs is with the ACS 2012 PUMS and 1-year summary statistic data (released October 2013). Use this interactive table to examine 2010 PUMAs and PUMA component area geography.

PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing no fewer than 100,000 people each. 2010 PUMAs cover the entirety of the U.S.   In addition to the U.S. wall-to-wall coverage, PUMAs offer good geographic drill-down for larger metro counties and central city areas.  The graphic presented below shows PUMAs (red boundaries with yellow PUMA geocode label)  in the Phoenix, AZ area.  Viewing graphic with gesture/zoom enabled device suggested.

Phoenix, AZ area PUMAs

Phoenix, AZ area PUMAs

Where is My PUMA?
PUMA maps may be viewed in two ways.  PUMA maps are shown in state by state Web pages that may be accessed via the scroll section in the right panel of the PUMA2010 section. The maps appear in the form shown above.  Another option, providing more analytical opportunities, is to display the PUMA shapefile using GIS software such as CV XE GIS.  The second option provides the ability to view PUMAs in context with other geography, such as census tracts, and to display thematic pattern maps using the ACS 2012 data.

PUMA Summary Statistic Data
2010 vintage PUMA summary statistic data, based on the ACS 2012 1-year estimates, may be accessed via these interactive tables:
General | Social | Economic | Housing

Linking the Data to the Geography
The Phoenix area PUMA map above shows that PUMA 00110 intersects with the Scottsdale area.  We could see exactly how by adding the city/place shapefile layer to the GIS project that is also using a PUMA shapefile layer.   The five-digit code 00110 is unique only to Arizona.  To make the PUMA code nationally unique requires adding the Arizona FIPS code (04) to the PUMA code: 0400110.  Using the ACS 2012 PUMA economic characteristics interactive table (see above), we then navigate to the PUMA row of interest to see that the median household income for this PUMA (item E086) is $81,304.  This value is shown in the graphic presented below in column/item E086 for the row highlighted in blue (PUMA 0400110).  This is a close estimate to the $MHI for the Scottsdale area.  Viewing graphic with gesture/zoom enabled device suggested.

PUMA 0400110 $MHI

PUMA 0400110 $MHI

The ACS 2012-1 year estimates were released in October 2013.  The data are very fresh!  The ACS 2013-1 year estimates will be released in the fall 2014, and similarly on an annual basis — for the same PUMA geographic area definitions.  Soon we will have a time series .  Then we will able to examine trends based on wide-ranging demographic-economic data for each or all of the 2010 vintage PUMAs.

2013 Metros: Charlotte, NC-SC

How will the market for single family homes in the Charlotte, NC metro change over the next 5 years? 20 years? How does the metro GDP in the Charlotte metro compare to others? What are the patterns in metro rental income and homeownership/vacancy rates? How are they trending?

2013 vintage metropolitan areas include approximately 94 percent of the U.S. population — 85 percent in metropolitan statistical areas (MSAs) and 9 percent in micropolitan statistical areas (MISAs). Of 3,143 counties in the United States, 1,167 are in the 381 MSAs in the U.S. and 641 counties are in the 536 MISAs (1,335 counties are in non-metro areas).  This section is focused on the Charlotte, NC-SC metro.  It is not intended to be a study of the metro but rather illustrate how relevant DMI resources can be brought together to examine patterns and change and develop insights.  The data, tools and methods can be applied to any metro.

Focus on Charlotte, NC MSA
The Charlotte-Concord-Gastonia, NC-SC MSA is shown in the graphic below.  The green boundary shows the 2013 vintage metro, black boundary/hatch pattern shows the 2010 vintage boundary, state blue boundary, counties labeled. Viewing graphic with gesture/zoom enabled device suggested.

Charlotte-Concord-Gastonia, NC-SC MSA

Charlotte-Concord-Gastonia, NC-SC MSA

Changing Metro Structures Reflect Demographic Dynamics
Click here
to view a profile for the Charlotte metro. The profile shows the addition of five counties relative to the Census 2010 vintage.  Use this interactive table to view demographic attributes of these counties and rank/compare with other counties.

The Census 2010 population of the 2013 vintage metro is 2,217,012 (25th largest) compared to 1,758,038 (33rd largest) based on the 2010 vintage of the metro. The Charlotte metro ranks 24th in population (2,296,569) among 2013 vintage metros based on the 2012 estimate. Several metros have 2012 population of similar size including: San Juan-Carolina-Caguas, PR, Portland-Vancouver-Hillsboro, OR-WA, San Antonio-New Braunfels, TX, Orlando-Kissimmee-Sanford, FL, Sacramento–Roseville–Arden-Arcade, CA with others quite close. See interactive table to examine other metros in a similar manner.

Demographic-Economic Characteristics
View selected ACS 2012 demographic-economic characteristics for the Charlotte metro (2013 vintage) in this interactive table.  View this metro in context of peer metros; e.g., similarly sized metros.  The Charlotte metro 2012 total population of 697,439, median household income of $50,108, percent high school graduates 88.1%, percent college graduates 31.3% and 15.2% in poverty.

Charlotte Demographic-Economic Profiles
Use the APIGateway to access detailed ACS 2012 demographic-economic profiles.  A partial view of the Charlotte metro DE-3 economic characteristics profile is shown below.  Install the no fee CV XE tools on your PC to view extended profiles for Charlotte or any metro. See U.S. ACS 2012 demographic-economic profiles.  Viewing graphic with gesture/zoom enabled device suggested.  

Charlotte MSA Economic Characteristics
Charlotte MSA Economic Characteristics

Charlotte Metro Gross Domestic Product
View selected Charlotte metro Gross Domestic Product (GDP) patterns in this interactive table.  The Charlotte metro 2012 real per capita GDP is estimated to be $118,862.  The metro ranks 21st among all 381 metros.

Examining Longer-Term Demographic Historical Change
— Use this interactive table to view, rank, compare Census 2000 and Census 2010 population for Census 2010 vintage metros (all metros).
— Use this interactive table to view, rank, compare 2013 vintage metros (all metros) — Census 2000, Census 2010, 2012 estimates population and related data.

Charlotte Metro by County Population Projections to 2060
The graphic presented below shows county population projections to 2060 for the 2013 vintage metro.  Use this interactive table to view similar projections for all counties.  The metro population is projected to increase to 2.8 million by 2030 and to 3.4 million by 2060 based based on current trends and model assumptions. Viewing graphic with gesture/zoom enabled device suggested.

Charlotte Metro Population Projections by County to 2060
2060 Projections

By definition, metropolitan areas are comprised of one or more contiguous counties. Metropolitan areas are not single cities and typically include many cities. Metropolitan areas are comprised of urban and rural areas and often have large expanses of rural territory. A business and demographic-economic synergy exists within each metro; metros often interact with adjacent metros. The demographic-economic makeup of metros vary widely and change often.