Category Archives: Cities

Examining America’s 10 Largest Urban Areas

.. why it matters .. among other reasons, these 10 areas have 24% of the total U.S. population. Three have increased by more than 20% in the past 5 years.

More than 80-percent of America’s population is urban, but far more than 80-percent of America’s geography is rural. Census 2010 shows that America’s urban population increased by 12.1 percent from 2000 to 2010, compared to the national overall growth rate of 9.7 percent. Urban areas now account for 80.7 percent of the U.S. population, compared to 79.0 percent in 2000.

America’s 10 Largest Urbanized Areas
The following table shows the largest 10 Urbanized Areas (UAs) based on the American Community Survey 2011 and 2016 1-year estimates (ACS2016) and change over the period. UAs are sorted in descending order based on the 2016 population estimate. Note that Atlanta, Dallas and Houston moved up in rank.

Geodemographic relationships vary widely between the urbanized areas (UAs). Some, such as Miami, comprise most or all of the urban area within the corresponding metropolitan statistical area. Others, such as Philadelphia, are nested within a mix of adjacent urban areas interspersed with rural areas. Among other things, these different geodemographic structures reflect how planning, needs assessment and market development vary widely from associated metro-to-metro. These data show the importance and need to consider the urban/rural population distribution even in the largest metros.

Visual Analysis — Dallas Urbanized Area
The urbanized area (UA) of the corresponding metropolitan statistical area (MSA) generally occupies less than half of the MSA.
See the Dallas-Fort Worth-Arlington, TX MSA Situation and Outlook Report

… View developed using CV XE GIS.

Map Views for Each of the Largest 10 Urbanized Areas
Maps for each of the 10 largest UAs are shown at
http://proximityone.com/urbanareas_2016.htm.

Each graphic shows the designated urbanized area in a darker salmon color fill pattern, associated metropolitan statistical area with bold brown boundary, and other urban areas with a lighter shade of salmon fill color, counties black boundaries and yellow labels. The ACS 2016 UA population is shown as a white label under the UA name. The ACS 2016 estimates are the most recent data available and will update with 2017 estimates in late 2018.

More About Analyzing Urban/Rural Patterns and Characteristics
See the related section on America’s urban/rural population and geography:
http://proximityone.com/urbanpopulation.htm.

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 L

Important Upcoming Data Releases: September 2017

.. monthly updates on recent & upcoming data analytics tools & resources .. this section provides a monthly update on important new data developments and applications/developments to further their use in data analytics. A focus of this section is on new or revised geographic, demographic and economic data. Most of these data are used to develop and update ProximityOne census tract-level up demographic-economic projections to 2022 and county-level up population by single year of age projections to 2060. See about September projection updates below on this page. This section is organized into recent past data updates and upcoming (month ahead) data releases and may be updated to reflect new or extended details. See related news and updates:
• What’s New daily updates
• Situation & Outlook Calendar

See related Web section.

Recent Past Data Releases/Access

U.S. by Census Tract 2017 HMDA Low & Moderate Income (FFIEC)
• Release date — 8/17; next update — mid 2018
• 2017 annual HMDA data — covers all income levels not only LMI
• New 2017 HMDA data
• See more information – access data.

U.S. by County Population by Single Year of Age (NCHS)
• Release date — 8/22/17; next update — mid 2018
• 2010 through 2016 annual population by single year of age
• New 2016 data extending annual series 2010 forward
• See more information – access updates.

Housing Price Index (FHFA)
• Release date — 8/22/17; next update — 11/28/17
• Quarterly HPI
• New 2017Q2 data extending quarterly time series.
• See more information – access updates.

Quarterly Gross Domestic Product by State (BEA)
• Release date — 9/20/17; next update — 11/21/17
• Quarterly GDP by Industry
• New 2017Q1 data extending quarterly time series.
• See more information – access data.

Upcoming Data Releases/Access 

2017 TIGER Digital Map Database (Census)
• Expected ~ 9/7/17
• Topologically Integrated Geographic Encoding & Referencing (TIGER) data.
• Geographic data; predominately shapefiles.
.. intersection to intersection road segment geography and attributes.
• New 2017 GIS/mapping shapefiles for use with wide-ranging data
.. including with Census 2010, ACS 2016 & other subject matter.
• See more information – updates to access summarized in that section.

Census of Employment and Wages (BLS/CEW)
• Release date — 9/6/17; next update — 12/5/17
• AKA ES-202 data — establishments, employment & wages by NAICS code/type of business
• U.S. by county.
• New 2017Q1 data extending quarterly time series.
• See more information.

2016 American Community Survey 1-year estimates (Census/ACS)
• Release date — 9/14/17
• Wide-ranging demographic-economic data for areas having population 65,000+
.. all states, CDs, PUMAs, MSAs and larger cities/CBSAs/school districts/counties (817 of 3142)
• New 2016 estimates.
• See more information – updates to access summarized in that section.

SY 2015-16 Annual School & School District Characteristics (NCES)
• Expected ~ 9/14/17
• National school school & school district characteristics.
• New 2015-16 school year administratively reported data.
• Schools … see more information – access updates.
• School District … see more information – access updates.

2016 Annual Gross Domestic Product by Metro (BEA)
• Release date — 9/20/17
• GDP by Industry by Metro
• New 2016 data extending time series
• See more information – access updates.

Census Tract Estimates and Projections to 2022 — ProximityOne
• Release data ~ 9/27/17
• National census tract and higher level geography demographic-economic updates
• Annual estimates & projections; 2010 through 2022
• Updated to reflect/integrate data released through 9/2017 as summarized above   • See more information.

County Population by Single Year of Age Projections to 2060 — ProximityOne
• Release data ~ 9/27/17
• National county and higher level geography demographic updates
• Annual estimates & projections; 2010 through 2060
• Updated to reflect/integrate data released through 9/2017 as summarized above.   • See more information.

Notes [goto top]
– BEA – Bureau of Economic Analysis
– BLS – Bureau of Labor Statistics
– Census – Census Bureau
– FFIEC – Federal Financial Institutions Examination Council
– FHFA – Federal Housing Finance Agency
– NCES – National Center for Education Statistics
– NCHS – National Center for Health Statistics

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.

U.S. State Capital City Demographic-Economic Characteristics

.. tools and data to examine demographic-economic characteristics of each U.S. State capital city. The profiles are part of the America’s Communities Program. The profiles help stakeholders know “where we are”, how things are changing where and by how much, and how things might change in the future. See related web section for more detail.

State Capital Cities
The following graphic shows state capital city locations as markers. This view was developed using GIS tools enabling creation of similar views in context of other geography and subject matter. Orange markers are cities with less than 65,000 population; blue markers are cities with more than 65,000 population. based on percent population change. Click graphic for larger view. Larger view shows city names and urban areas. Expand browser window for best quality view.

.. view developed with ProximityOne CV XE GIS and related GIS project.
Hawaii
Alaska

State Capital City Demographic-Economic Profiles
State capital cities are listed below organized by state. Click the link within the brackets to view a demographic-economic profile for that city. The 2016 total population is shown in parentheses.

Alabama
• Montgomery, AL [0151000] (200,022)
Alaska
• Juneau, AK [0236400] (32,468)
Arizona
• Phoenix, AZ [0455000] (1,615,017)
Arkansas
• Little Rock, AR [0541000] (198,541)
California
• Sacramento, CA [0664000] (495,234)
Colorado
• Denver, CO [0820000] (693,060)
Connecticut
• Hartford, CT [0937000] (123,243)
Delaware
• Dover, DE [1021200] (37,786)
District of Columbia
• Washington, DC [1150000] (681,170)
Florida
• Tallahassee, FL [1270600] (190,894)
Georgia
• Atlanta, GA [1304000] (472,522)
Hawaii
• Honolulu, HI [1571550] (351,792)
Idaho
• Boise City, ID [1608830] (223,154)
Illinois
• Springfield, IL [1772000] (115,715)
Indiana
• Indianapolis, IN [1836003] (855,164)
Iowa
• Des Moines, IA [1921000] (215,472)
Kansas
• Topeka, KS [2071000] (126,808)
Kentucky
• Frankfort, KY [2128900] (27,885)
Louisiana
• Baton Rouge, LA [2205000] (227,715)
Maine
• Augusta, ME [2302100] (18,494)
Maryland
• Annapolis, MD [2401600] (39,418)
Massachusetts
• Boston, MA [2507000] (673,184)
Michigan
• Lansing, MI [2646000] (116,020)
Minnesota
• St. Paul, MN [2758000] (302,398)
Mississippi
• Jackson, MS [2836000] (169,148)
Missouri
• Jefferson City, MO [2937000] (43,013)
Montana
• Helena, MT [3035600] (31,169)
Nebraska
• Lincoln, NE [3128000] (280,364)
Nevada
• Carson City, NV [3209700] (54,742)
New Hampshire
• Concord, NH [3314200] (42,904)
New Jersey
• Trenton, NJ [3474000] (84,056)
New Mexico
• Santa Fe, NM [3570500] (83,875)
New York
• Albany, NY [3601000] (98,111)
North Carolina
• Raleigh, NC [3755000] (458,880)
North Dakota
• Bismarck, ND [3807200] (72,417)
Ohio
• Columbus, OH [3918000] (860,090)
Oklahoma
• Oklahoma City, OK [4055000] (638,367)
Oregon
• Salem, OR [4164900] (167,419)
Pennsylvania
• Harrisburg, PA [4232800] (48,904)
Rhode Island
• Providence, RI [4459000] (179,219)
South Carolina
• Columbia, SC [4516000] (134,309)
South Dakota
• Pierre, SD [4649600] (14,008)
Tennessee
• Nashville, TN [4752006] (660,388)
Texas
• Austin, TX [4805000] (947,890)
Utah
• Salt Lake City, UT [4967000] (193,744)
Vermont
• Montpelier, VT [5046000] (7,535)
Virginia
• Richmond, VA [5167000] (223,170)
Washington
• Olympia, WA [5351300] (51,202)
West Virginia
• Charleston, WV [5414600] (49,138)
Wisconsin
• Madison, WI [5548000] (252,551)
Wyoming
• Cheyenne, WY [5613900] (64,019)

Related Demographic-Economic Interactive Tables
Use the national scope demographic-economic interactive tables to view, rank, compare selected or all cities/places (approximately 29,500 places) using an extended set of data as used in the community profiles. The data are based the American Community Survey 2015 5-year estimates and organized into four subject matter groups:
General Demographics
Social Characteristics
Economic Characteristics
Housing Characteristics

See the related city population trends 2010-2016 interactive table to view, query, rank compare each cities are changing over time.

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.

City Population Characteristics & Trends: 2010-2016

.. the change in U.S. city population from 2010 to 2016 ranged from growth of 345,647 in New York City to a decline of -38,293 in Detroit, MI. New York City is actually five counties; the next largest city growth was Houston, TX with a 197,857 population gain.  Examine how the population is changing in cities of interest using the interactive table and other tools described in this post.  Use the interactive table to view a selected city, all cities in a state, cities in a county, cities in a metro or cities in a peer group size class.  See related Web section for more details.

Use the U.S. by cities shapefile with your GIS projects. See details. Thematic pattern maps illustrating use of these resources are shown below.

The July 1, 2016 Census Bureau model-based estimates (see about these data) for the U.S. 19,510 incorporated cities show a total population of 203,314,546 compared to 192,174,578 as of Census 2010. These areas are incorporated cities as recognized by their corresponding state governments and granted certain governmental rights and responsibilities.

Patterns of City Percent Change in Population 2010-16
— Cities 10,000 Population & Over
Use the CV XE GIS software with cities GIS project to examine characteristics of city/place population, 2010-2016. The following view shows patterns of population percent change, 2010-16 for cities with 2016 population of 10,000 or more. Use the interactive table below to see that among cities with 2016 population of 10,000 and over that Buda, TX had the largest percent change (98.8%) while Avenal, CA experienced the largest percent decrease (-18.4).

– View developed using the CV XE GIS software.
– Click graphic for larger view.

Fastest Growing Cities in the Dallas, TX Metro
— Cities 10,000 Population & Over; create views like this for any metro/county
It is easy to see which cities are growing the fastest using the thematic pattern view below. It is also easy to see how the cities relate to each other geographically and in context of county boundaries. The following view shows patterns of population percent change, 2010-16 for cities with 2016 population of 10,000 or more in the Dallas metro area.

– View developed using the CV XE GIS software.

Drill-down — Fastest Growing Cities in the Dallas, TX Metro
— Cities 10,000 Population & Over
Zoom into the north Dallas metro area and label the cities with name. The following view shows patterns of population percent change, 2010-16 for cities with 2016 population of 10,000 or more in the Dallas metro area.

– View developed using the CV XE GIS software. Click graphic for larger view; expand browser window for best quality view.

City/Place Demographics in Context
State & Regional Demographic-Economic Characteristics & Patterns
.. individual state sections with analytical tools & data access to block level
Metropolitan Area Situation & Outlook
.. continuously updated characteristics, patterns & trends for each/all metros
Related City/Place Demographic-Economic Interactive Tables
ACS 2015 5-year estimates
.. General DemographicsSocialEconomicHousing Characteristics

Using the Interactive Table
Use the full interactive table to examine U.S. national scope cities by annual population and change 2010-2016. The following graphic illustrates use of the table to view the largest cities ranked on 2016 population. Use the tools/buttons below the table to create custom views.

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.

Examining Houston Metro Demographic-Economic Characteristics

.. tools & data to examine metro demographic-economic characteristics .. this Houston, TX metro focused section is one of several similar metro sections that will be covered in weeks ahead.  Each metro-focused section provides a summary of tools and data that can be used to view, rank, compare, analyze conditions and trends within the metro and this metro relative to other metros, regions and the Nation.  The ready-to-use GIS project/datasets provide the basis for extended data/geographic views and analysis immediately.  See more detail about topics covered in this related Web section.

Relating your data to demographic-economic characteristics and trends in a region involves more than information provided by a report or set of statistical tables. It is important to use your data to be able to identify areas of missed opportunity and competitive position. It is important to have a “10,000 foot” view as well as understanding individual neighborhoods and market/service areas. Geographic Information System (GIS) tools, with the right set of geographic, demographic and economic data can facilitate decision-making through the use of visual and tabular data analytics.

This section provides information on installing and using the Houston Metro Demographic-Economic GIS software and project/datasets. This same scope of data, tools and operation is available for any metro, state or combination.

10,000 Foot View
The following graphic shows patterns of median household income by census tract for the Houston metro area. This is the start-up view when using the GIS tools and data described below. The color patterns/intervals are shown in the highlighted layer in legend at left of map window. Use the GIS tools described below to develop thematic pattern maps for a range of data and criteria.

.. view developed using the CVGIS software.

See more about census tracts; see tracts main page.

Several additional views follow, developed using this same GIS project. These views illustrate different levels of geographic granularity and patterns of different subject matter.

Median Household Value by Block Group
See more about block groups; see block groups main page.

.. view developed using the CVGIS software.

Population/Housing Unit by Block
See more about census blocks; see census block main page.

.. view developed using the CVGIS software.

Zoom-in to Sugarland/Fort Bend County
See more about cities/places; see cities/places main page.
Access data for any city using interactive table.

.. view developed using the CVGIS software.

Further Zoom-in Showing Street/Road Detail
See more about streets.

.. view developed using the CVGIS software.

Additional Information
See the related Houston metro Situation & Outlook Report.

Using the GIS Software and Project/Datasets
(requires Windows computer with Internet connection)
1. Install the ProximityOne CV XE GIS
… run the CV XE GIS installer
… requires UserID; take all defaults during installation
2. Download the Houston Metro GIS project fileset
… requires UserID; unzip Houston Metro GIS project files to local new folder c:\p1data
3. Open the c:\p1data\us1_metros_houston.gis project
… after completing the above steps, click File>Open>Dialog
… open the file named c:\p1data\us1_metros_houston.gis
4. Done. The start-up view is shown above.

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.

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.

Analyzing ACS 2014 1-Year Supplemental Data

.. examining 2014 characteristics of areas with population 20,000 and over  .. this section summarizes how to use the America Community Survey (ACS2014) “supplemental” data (ACS2014S) to access more current estimates than otherwise available. The America Community Survey “supplemental” data are just that, a supplemental set of ACS 2014 1-year estimates — for areas 20,000 population and over. See the related Web section providing more detail.

The importance of the ACS 2014S data are two fold.
1 – 2014 1-year estimates for a larger number of areas than available from the ACS 2014 1-year (ACS2014) estimates.
2 – more current (2014) data for those areas only available from the 5-year estimates (centric to 2012) that are between 20,000 and 65,000 population.

The ten cities/places with the highest 2014 median family income based on 1-year estimates were all under 65,000 population. These cities were not included in the ACS 2014 1-year standard estimates but were included in the ACS 2014 1-year supplemental estimates. See list below.

This section provides an overview of the ACS 2014 supplemental data and provides a summary of tools, interactive table and GIS project, to analyze characteristics of these areas. These data are used by ProximityOne to develop/update annual county demographic-economic projections. See schedule of related 2016 updates.

Scope of Expanded Geography Available
As shown in the table below, 2014 1-year “supplemental” estimates are available for more than twice as many counties from the ACS2014S compared to the ACS2014 “standard” 1-year estimates. However, there area a more limited set of subject matter data available from the ACS2014S data compared to both the ACS 2014 1-year and 5-year estimates.

MSA/MISA: Metropolitan Statistical Areas/Micropolitan Statistical Areas Counties: county and county equivalent

ACS 2014S Data Availability by County
The following graphic shows the additional counties for which ACS 2014 1-year estimates are available using the “supplemental” data.
• ACS 2014 1-year “standard” estimate counties — blue fill pattern
• ACS 2014 1-year “supplemental” estimate counties — orange fill pattern
• Only ACS 2014 5-year estimates available for remaining counties
Click graphic for larger view; expand browser window for best quality view. The larger view shows metropolitan area (MSA) boundaries. Note that for example, ACS 2014 1 year data are available for all counties in the Austin and San Antonio metros (see pointer) — previously unavailable..

.. view developed with ProximityOne CV XE GIS and related GIS project.
.. any CV XE GIS user can create this view using the default US1.GIS project

ACS2014S Tables — scroll section
The ACS 2014 supplemental data include 42 tables and a total of 229 data items. Br> The table number and descriptions are summarized below.

View full table/item detail in tables shells: ACS 2014S Table shells (xls)

ACS 2014 Selected Supplemental Items for Selected Geography
  — interactive table
The interactive table contains all geography for which the ACS2014S data have been tabulated for these geographies: U.S., state, county, city/place, 114th Congressional District, MSA/MISA, PUMA, urban area and school district. The table provides access to key selected items.

The following graphic illustrates use of the interactive table. First cities/places were selected using the Type drop-down below the table. Next, the table is ranked in descending order on median family income. As shown in the graphic the largest 10 cities/places were under 65,000 population. 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.