Category Archives: TX Brazoria County

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.

Tools to Analyze County Demographic-Economic Characteristics

.. demographic-economic characteristics of counties are 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 these data for all counties in the U.S. This annual update includes geographic area characteristics based on ACS 2015 data.  The tools/data are organized into four related sections summarized below.

1. General Demographics
View interactive table at http://proximityone.com/us155dp1.htm
Patterns of School Age Population by County
Use GIS tools to visually examine county general demographics as illustrated below. The following view shows patterns of percent population ages 5 to 17 years of age by county — item D001-D004-D018 in the interactive table. Create your own views.

… view developed using the CV XE GIS software.

2. Social Characteristics
View interactive table at http://proximityone.com/us155dp2.htm 
Patterns of Educational Attainment by County
– percent college graduate
Use GIS tools to visually examine county social characteristics as illustrated below. The following view shows patterns of percent college graduate by county — item S067 in the interactive table. Create your own views.

… view developed using the CV XE GIS software.

3. Economic Characteristics
View interactive table at http://proximityone.com/us155dp3.htm 
Patterns of Median Household Income by County
Use GIS tools to visually examine county economic characteristics as illustrated below. The following view shows patterns median household income by county — item E062 in the interactive table. Create your own views.

… view developed using the CV XE GIS software.

4. Housing Characteristics
View interactive table at http://proximityone.com/us155dp4.htm 
Patterns of Median Housing Value by County
Use GIS tools to visually examine county housing characteristics as illustrated below. The following view shows patterns median housing value by county — item E062 in the interactive table. Create your own views.

… view developed using the CV XE GIS software.

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.

New Residential Construction by County

.. what’s happening in the north Dallas metro? .. a lot, take a look at the patterns of new residential construction for Collin and Denton counties using data and tools presented in this section. Examine new residential construction, leading economic indicator, for counties and regions of interest to you anywhere in the U.S. Use of the Regional Demographic-Economic Modeling System (RDEMS) to examine patterns of residential construction in context of related wide-ranging, multi-sourced data.

This section provides a summary of new housing units authorized by building permits for new residential construction for each/all counties. Use data analytics tools and data described here analyze these data and related housing issues.
• interactive data analytics – details/access
• use GIS project/datasets – details/access
• access individual county profiles – details/access

Patterns of New Authorized Residential Units by County
The following graphic shows the 2015 per capita value of total units authorized by county. The four largest Texas metros are shown with bold brown boundaries.
See about subject matter included in datasets.

View created with CV XE GIS. Click graphic for larger view.

Additional views with counties labeled with name, 2015 housing units and 2015 total new housing units authorized.
Charlotte, NC-SC metro by county
Dallas, TX metro by county
Houston, TX metro by county

Leading Economic Indicator
Building permit data (housing units authorized by building permits for new residential construction) are economic leading indicators. Investors and housing developers use these data to examine the characteristics and trends in new residential housing development. The short time lag between the data reference date and data access date, 1-2 months, makes this set of indicators important in assessing the current situation and patterns during the past year or more. The national scope coverage and geographic granularity (state, metro, county and city) enable comparison among types of areas and peer groups. Finance and real estate professional and researchers examine building permit patterns to develop strategic insights. Government and policy makers use these data to get a pulse on markets and changing patterns to administer programs and operations. See more about these data below in this section.

New residential construction begins with building permits. Overall U.S. housing starts are approximately 2.5% less than permits issued (22.5% less for multi-family units). Completions are approximately 4% less than starts (7.5% less for multi-family units). During the past year-plus, “residential fixed investment” has been approximately $500 billion and remained steady at 3.1% of real Gross Domestic Product.

Access Individual County Profiles
The following graphic illustrates use of the Regional Demographic-Economic Modeling System (RDEMS) to access the HSG1 Housing Units & New Residential Construction tables for a selected county. Click graphic for larger view.

Mecklenburg County, NC [37119] located in the Charlotte, NC-SC metro

Add a link to your Web page for areas of interest: The URL structure for Mecklenburg County is:
http://proximityone.com/rdems/1/rdems37119hsg1.htm
– more in general, substitute the county state+county FIPS code (37119 in this case) to access a county of interest.

Using the Interactive Table
The interactive table includes a row for each county. Column structure and content are described below the table.
• Click the StCty link to view the housing unit/new construction profile.
• Select a metro to examine component counties

The following graphic illustrtaes use of the table to examine characteristics of the Dallas metro counties. 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.

Census Tract-City Relationship Table

.. what census tracts are located in cities of interest? What are their codes? Conversely, do you have census tract codes and need to know corresponding city(s)? Get answers here.

This section provides access to an interactive table useful to examine relationships among Census 2010 census tracts, cities/places, and counties. Many cities and counties that might be experiencing demographic-economic decline will often have bright spots that are groups of a few or many census tracts. Census tracts are important sub-county geography in data analytics. See the related section on census data analytics. See more about census tracts and data analytics below in this section.

Relating Census Tracts to Cities & Counties
Census tracts are sub-county areas and nest coterminously within counties. The 6-character tract code is unique within county. For cities 10,000 and larger, there are some number of whole census tracts within the city. But around the perimeter of cities, census tracts will often be partly within and partly outside of the city. The following graphic shows the relationship of tracts, cities and counties in the Plano city area (green fill pattern) located mostly in Collin County within the Dallas metro. Click graphic for larger view, more detail and legend color/data intervals. This map illustrates the geographic level of detail available using census tract demographics and the relative ease to gain insights using geospatial data analytics tools.

– View developed using CV XE GIS and related GIS project.

Using the Interactive Relationship Table
A small part of Plano is located in Denton county (see north-south bold red-brown boundary). Tract 021627 (see pointer) is located in Denton County and includes a part of Plano. To determine what geography tract 021627 intersects, click the Tract> button below the interactive table shown below. See that the tract is contained in parts of 4 cities.

Census Tract to City/Place & County Equivalence Table
The following graphic illustrates use of the interactive table to view/examine the relationship between census tract 48121021627 (in Denton County, TX) and the city of Plano, TX. Click graphic for larger view.

The above view was developed using the interactive table:
– click the ShowAll button
– click the FindTract button (preset to locate this tract).

Click the ShowAll button and enter a city/place (case-sensitive) name of interest to view the set of intersecting tracts. See the table usage notes below the table in the related Web page. We review operation of the table in the Data Analytics Web sessions.

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.

Texas School District Demographic Trends

.. new data, new insights .. in the 2015-16 school year, there were 21 school districts in Texas (of a total 1,025) with enrollment of 50,000 or more students. Among these districts, six districts experienced an enrollment decline between the 2011-12 and 2015-16 school years. Four districts experienced more than 10-percent increase in enrollment (Frisco, Katy, Conroe and Klein). Use the interactive table to view, rank, query and compare Texas school districts by annual enrollment, 2011-12 to 2015-16 , and change over the period. This section provides access to data analytics tools to examine patterns and characteristics of enrollment for Texas local education agencies. Use the GIS project and datasets described here to examine districts and regions of interest. See the full Web page for more comprehensive version of topics reviewed here.

Enrollment Change Patterns: Texas School Districts. 2011-2015
The following graphic shows patterns of the percent enrollment change by Texas school district during the period 2011-12 to 2015-16 school year. The percent change intervals/colors as depicted in legend panel at left of map window. Create custom maps similar to this view for your regions of interest. Examine alternative patterns such as percent change for different time periods, enrollment change or enrollment level. Set queries to include school district by peer group. Click graphic for larger view with more detail; expand browser window for best quality view.

View developed with CV XE GIS software using the Texas school districts GIS project.

The following views (click link) show a zoom-in with districts labeled with name and 2015-16 enrollment .. install the software and GIS project on your Windows computer for alternative and more detailed views.
Dallas Metro Region
Houston Metro Region
San Antonio-Austin Metro Region

School Districts by Locale Code
The following view shows patterns of school districts by locale code. Examine districts based locale code in the interactive table below. See more about locale code below in this section.

View developed with CV XE GIS software using the Texas school districts project.

Additional School District Demographic-Economic Data
Use the following interactive tables to view attributes of individual school districts in context of others. These are national scope tables; select only Texas (or other state) using tools below table on respective pages. Compare Texas (or other state) school districts by national scope peer group size.
General Demographics
Social Characteristics
Economic Characteristics
Housing Characteristics
More about data analytics and analyzing the school district community.

Enrollment by Texas Local Education Agency: 2011-12 – 2015-16
— Interactive Table
The following graphic illustrates use of the interactive table. This view shows districts having 2015-16 enrollment 50,000 or more ranked in descending order on the enrollment percent change from the 2011-12 school year to the 2015-16 school year. See the full interactive table to perform similar operations. Click graphic for larger view.

See about other demographic-economic interactive tables.

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.

County Population Projections 2020

.. examining county demographic trends 2010-2020: population estimates & projections by age in structured profiles.

Find out about the recent past and expected future demographic trends and patterns in your county(s) of interest. Examine the distribution of the population by 5 year age cohort, other age groups and by year.

This section reviews how you can access and use ProximityOne national scope county annual demographic estimates and projections for the period 2010 through 2020. These estimates and projections are a part of the ProximityOne Situation & Outlook program. Estimates and projections are developed using county simultaneous equation models. See methodology.

Visual Trend Analysis
The graphic below shows projected population change 2010 to 2020 by county for the south central U.S. Use CV XE GIS with ready-to-use GIS project for collaboration and visual analysis.

Click graphic for larger view of U.S. with color legend details.

User Group Access
Members of the ProximityOne User Group may access any of the total population county level profiles shown in the interactive table in the corresponding Outlook 2020 web section.  Join the User Group now, there is no fee.

Sample County Profile
The graphic shown below illustrates the projections profile structure for Jackson County, MO. Descriptive stubs at left show the age group. Columns show the estimates and projections (only a few columns appear in the graphic).

Related Demographic-Economic Projections
More about ProximityOne demographic-economic estimates and projections:
• Outlook 2018 | Outlook 2030 | Outlook 2060 | Quarterly 3 year
• integrated multi-sourced Situation & Outlook demographic-economic data

County Demographic Estimates & Projections Interactive Table
The graphic shown below illustrates structure/use of the interactive table. Click graphic to open the table (http://proximityone.com/outlook2020.htm). Navigate to a county of interest in the table. Clicking a link shown in the table opens a new page showing demographic patterns and trends for that county. All links require a userid and password. Members of the ProximityOne User Group may use their userid and password to view the Total population profile. Access to other profiles is available on a fee basis.

Terms of Use. Estimates and projections described in this section and in related files are proprietary to ProximityOne. The data may be used in any manner without further authorization except that the data may not be redistributed. There is no warranty or guarantee of any type. The user is solely responsible for any use.

Support & DMI Web Sessions
Learn more about using resources described in this section. Join us in a Decision-Making Information Web session. There is no fee for these 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. We can address your specific questions about using demographic economic data and related applications.

2013 Metros: Houston, TX

Goto ProximityOne  94% of the U.S. population live in metropolitan areas.  Metropolitan areas are comprised of one or more contiguous counties having a high degree of economic and social integration. This section is one in a continuing series of posts focused on a specific metropolitan area — this one on the Houston-The Woodlands-Sugar Land, TX MSA.   This section illustrates how relevant Decision-Making Information (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. About metros.

Focus on Houston-The Woodlands-Sugar Land, TX MSA
A thumbnail … in 2012, the Houston-The Woodlands-Sugar Land, TX MSA had a per capita personal income (PCPI) of $51,004. This PCPI ranked 23rd in the United States and was 117 percent of the national average, $43,735. The 2012 PCPI reflected an increase of 4.5 percent from 2011. The 2011-2012 national change was 3.4 percent. In 2002 the PCPI of the Houston MSA was $34,696 and ranked 37th in the United States. The 2002-2012 compound annual growth rate of PCPI was 3.9 percent. The compound annual growth rate for the nation was 3.2 percent.  These data are based in part on the Regional Economic Information System (REIS).  More detail from REIS for the Houston metro at the end of this section.

Geography of the Houston MSA
The geography of the Houston-The Woodlands-Sugar Land, TX MSA is shown in the graphic below.  The green boundary shows the 2013 vintage metro, black boundary/hatch pattern shows the 2010 vintage boundary, counties labeled. San Jacinto County is no longer a part of the metro.

houstonmsa

Changing Metro Structures Reflect Demographic Dynamics
Click here
to view a profile for the 2013 vintage Houston metro. 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 5,920,416 (6th largest MSA) compared to the 2012 estimate of 6,177,035 (5th largest MSA). See interactive table to examine other metros in a similar manner.

Demographic-Economic Characteristics
View selected ACS 2012 demographic-economic characteristics for the Houston metro (2010 vintage) in this interactive table.  Examine this metro in context of peer metros; e.g., similarly sized metros.  In 2012, the Houston metro had a median household income of $55,910, percent high school graduates 81.1%, percent college graduates 29.6% and 16.4% in poverty.

Houston Demographic-Economic Profiles
Use the APIGateway to access detailed ACS 2012 demographic-economic profiles.  A partial view of the Houston 2010 metro DE-3 economic characteristics profile is shown below.  Install the no fee CV XE tools on your PC to view extended profiles for Houston or any metro. See U.S. ACS 2012 demographic-economic profiles.  Viewing graphic with gesture/zoom enabled device suggested.  

Houston 2010 vintage MSA Economic Characteristics
cbsa26420de3

Houston Metro Gross Domestic Product
View selected Houston 2013 vintage metro Gross Domestic Product (GDP) patterns in this interactive table.  The Houston metro 2012 real per capita GDP is estimated to be $62,438 ($385,683M real GDP/6,177,035 population).

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.

Houston 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.

Houston Metro Population Projections by County to 2060
cbsa26420projections

Thematic Maps & Visual Analysis
The graphic below shows the 2013 vintage metro (bold boundary) counties labeled with county name and county per capita personal income (PCPI).  The legend shows the change in PCPI from 2008 to 2012.
cbsa16740ctypcpi

The above graphic illustrates the power of using visual analysis tools (CV XE GIS).  These data are from the  Regional Economic Information System (REIS) introduced earlier in this section.  Use the links shown below to examine much more detail from REIS at the metro and county level.  A thematic pattern map could be developed for any one of these items.  The REIS data are annual time series starting in 1970 and continue to 2012.  Click a link to view a sample profile spreadsheet for Harris County, TX and the Houston MSA for 2011 and 2012.
• Personal income, per capita personal income, and population (CA1-3)
• Personal income summary (CA04)
• Personal income and earnings by industry (CA05, CA05N)
• Compensation of employees by industry (CA06, CA06N)
• Economic profiles (CA30)
• Gross flow of earnings (CA91)

Join us in an Upcoming Decision-Making Information Webinar
We will review topics and data used in this section in the upcoming webinar “Metropolitan Area Geographic-Demographic-Economic Characteristics & Trends” on January 9, 2014.  This is one of many topics covered in the DMI Webinars (see more).  Register here (one hour, no fee).

About Metropolitan Areas
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 contain 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.

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).