Tag Archives: Scottsdale Arizona

America’s Cities: Demographic-Economic Characteristics Annual Update

.. tools and data to interactively examine demographic-economic characteristics of America’s 29,321 cities/places .. understanding demographic-economic characteristics of cities and places is essential for business development, market analysis, planning, economic development, program management and general awareness of patterns and trends. This section provides access to data and tools to examine characteristics of all cities/places in the U.S. This annual update includes data for 29,321 cities/places based on ACS 2015 data.

Accessing the Data; Using Interactive Tables
Each of the four links below opens a new page providing access to U.S. by city/place interactive tables — by type of subject matter. Use tools and usage notes below table to select operations to perform queries, sort and select columns.
General Demographics
Social Characteristics
Economic Characteristics
Housing Characteristics

How the the Tables/Data Can be Used
The following table shows data derived from the Economic Characteristics table. The top 10 cities/places having the highest median household income ($MHI) are shown. The table also shows population, median family income ($MFI) and per capita income ($PCI). The $250,000 value is a cap; the actual value is $250,000 or higher. Use the interactive tables to create similar views for states of interest. Use the button below the table to select/view cities within a selected metro. Compare attributes of cities of interest to a peer group based on population size.

Visual Analysis of City/Place Population Patterns
Use GIS resources to visually examine city/place demographic-economic patterns. The following view shows patterns of population percent change by city in the Charlotte, NC-SC metro area.

… view developed using the CV XE GIS software.
… click map for larger view and details.

Related Data
Cities/Places Main Section
Citie Population Estimates & Trends, 2010-15

More About Using These Data
Using ACS 1-year and 5-year data

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.

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.

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.