Category Archives: Uncategorized

World by Country Population Projections to 2050

.. updated world population estimates and projections by country show that the world population is projected to grow from 6.9 billion in 2010 to 9.4 billion by 2050, an increase of 2.5 billion (36.5%). This section summarizes access to tools to view, compare, analyze these projections, develop alternative scenario projections, and examine underlying data used to develop the projections. Assess the implications of changing geopolitical, demographic and economic factors and how they might impact future change for areas and matters of interest. See more about these data and alternative scenario projections and impact assessment.  See related main Web section.

Largest 10 Countries based on 2050 Total Population (millions)

The following graphic shows percent change 2010-2050 by country and country code. Click graphic for larger view. Larger view shows legend with intervals/color assignment and population percent change 2010-2050 and country name as labels. Expand browser window to full screen for best quality view.

Rank/Compare Countries with the Interactive Table
The following graphic illustrates use of the  interactive table. The graphic shows countries in Asia-Oceania ranked in descending order based on 2050 population. Examine your regions of interest.

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.
 

Congressional District 2015 Demographic-Economic Characteristics

.. congressional districts vary widely in demographic-economic characteristics.  We have new data for 2015 providing insights to characteristics of the 114th Congressional Districts.  This section summarize a few of these characteristics and provides access to a wide range of data that you can use to view, sort, rank, and compare congressional districts using interactive tables.

Patterns of 2015 Educational Attainment
The following graphic shows patterns of educational attainment (percent college graduate) by congressional district in the Los Angeles area. White label shows the congressional district code; yellow label shows percent college graduate. Legend shows color patterns associated with percent college graduate intervals.

– View developed using CV XE GIS software and associated GIS project.

How Congressional Districts Compare
Reference items refer to items/columns shown in tables described below.

.. general demographics: congressional district UT03 has the smallest median age (27.5 years — item D017) and FL11 has the highest median age (53.5 years).

.. social characteristics: congressional district KY05 has the fewest number of people who speak English less than “very well” (2,676 — item S113) and FL27 has the largest number (281,053).

.. economic characteristics: congressional district ND00 has the lowest unemployment rate (2.6% — item E009) and MI13 has the highest unemployment rate (14.6%).

.. housing characteristics: congressional district MI13 has the lowest median housing value ($63,100 — item H089) and CA18 has the highest median housing value ($1,139,900).

Access the Detailed Interactive Tables
Click a link to view more thematic pattern maps and use the interactive tables.
.. General Demographics
.. Social Characteristics
.. Economic Characteristics
.. Housing Characteristics

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.

Largest School Districts Enrollment Characteristics

..  while school district enrollment is reported by school districts, only public school enrollment is reported. Public and private school enrollment are available by district from the American Community Survey (ACS 2015).  With few exceptions, school districts do not report on demographic-economic characteristics of the school district.  These data are only available from ACS. See the related interactive table to access and compare enrollment characteristics of school districts of interest.

In 2015, there were 1,016 school districts with total population of 65,000 or more (of total 14,650) for which “1-year estimates” were tabulated.  These estimates are based on respondent data for calendar year 2015.  This section summarizes selected enrollment characteristics of the largest districts and provides access to much more detail for each of these districts.

Largest 10 School Districts
The following graphic shows the largest 10 school districts based on the size of the 2015 school age population ages 5-to-17. Click graphic for larger view.

Mapping the Largest School Districts
The following graphic shows locations of the largest school districts as red markers. Click graphic for larger view that opens in a new window. Expand browser window for bets quality view. The larger view shows school district locations on context of metropolitan statistical areas (MSAs).

  view created using CV XE GIS software and related GIS project.

School Districts Tabulated in ACS 2015
ACS 2015 data are tabulated for 14,650 school districts (among many other wide-ranging geography). The following table shows the number of districts for which 1-year estimates and 5-year estimates are tabulated. There are 1,016 districts for which 1-year estimates were tabulated.

These data show enrollment of residents of the district whether enrolled in that district or otherwise. Enrollment data are provided for preschool, K-12 and college and not enrolled.

Using the School District Enrollment Interactive Table
The following graphic illustrates use of the interactive table (click that link to use the table) showing enrollment in kindergarten by school district ranked in descending order.

– click graphic for larger view.

Using the table, you can select total, public or private enrollment for selected grade ranges.

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 ACS 2015 1-Year Demographic-Economic Data

.. essential data to assess where we are, how things have changed and how things might change in the future down to the sub-neighborhood level. The American Community Survey (ACS) is a nationwide survey designed to provide annually updated demographic-economic data for national and sub-national geography. ACS provides a wide range of important data about people and housing for every community across the nation. The results are used by everyone from planners to retailers to homebuilders and issue stakeholders like you. ACS is a primary source of local data for most of the 40 topics it covers, such as income, education, occupation, language and housing. ProximityOne uses ACS to develop current estimates on these topics and 5-year projections. This section is focused on ACS 2015 data access, integration and use and is progressively updated.

New ACS 2015 1-year estimates are available as of September 15, 2016.

Importance of ACS: Assessing Demographic-Economic Change
Oil prices plummeted in late 2014. How has this affected people and households in areas hardest hit? Find out for wide-ranging geographies using the ACS 2015 1-year estimates. Compare to ACS 2014 1-year estimates. Use the ACS 2016 1-year estimates (September 2017) to see how the impact has continued. Demographic-economic conditions change for many reasons; oil price changes are just one.

Keep informed about ACS developments and related tools and applications:
• Updates are sent to ProximityOne User Group members (join here).
… access special extract files and GIS projects available to members.
• ACS updates and applications are covered in the Data Analytics Blog.
• ACS data access, integration & use … join us in a Data Analytics Lab session.

In the weeks ahead, the following ProximityOne information resources will be updated with new ACS 2015 1-year data:
U.S.-State-Metro Interactive Tables
• Demographic component section of Metro Situation & Outlook Reports .. example for Dallas metro
• Housing characteristics component section of Metro Situation & Outlook Reports .. example for Dallas metro
Demographic-Economic Trend Profiles
• Special study reports.

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 Monthly Residential Construction by Metro Updates

.. tools, data & methods to assess the housing situation, examine housing supply and demand market conditions, and how metros of interest are changing.  New July 2016 building permits (new housing units authorized) and over-the year monthly data are now available for each metropolitan statistical area (MSA).

Use the interactive table to view, query, rank, compare data by metro. Map and geospatially analyze construction patterns with the CV XE GIS software and ready-to-use GIS project/datasets – see details.

Updated Resources to Examine Residential Construction Patterns
Metro Situation & Outlook Reports
.. metro by metro … examples: Houston, Los Angeles, Chicago, Atlanta.
County Annual U.S. by county
County & City/Place Monthly

Patterns of New Authorized Residential Units by Metropolitan Area
The following graphic shows value of single unit structures units authorized  by metro. Larger view shows more details including a mini-profile of housing units authorized detail. Create similar views for preferred time periods and different residential unit attributes using the GIS project.  Zoom-in to areas of interest.  Label the geography as desired.  Add your own data.

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

The time lag from reference date to access date of these data is one month, contributing to both the freshness of the data and importance of the data as a leading economic indicator. The importance of these data transcends issues concerning housing market conditions alone.  These data are one part of a mix of demographic-economic factors required to understand housing market conditions and the local/regional economy. These data are a part of the process to develop the ProximityOne county and sub-county demographic-economic estimates and projections.

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.

Linguistic Isolation Patterns by Block Group

Goto ProximityOne Linguistic isolation inhibits the ability of people and households to integrate into neighborhoods, cities and living areas. Opportunities for advancement and participation in society are improved where linguistic isolation is minimal. This section describes tools and data resources to examine patterns of linguistic isolation for block group level geography.

Size and distribution data on speakers of languages other than English and on their English speaking ability are important for many reasons. These data help us understand where populations with special needs exist and how they are changing. The data are used in a wide-ranging legislative, policy, and research applications. Many legal, financial and marketing decisions involving language-based issues make use of data on language use and English-speaking ability.

Data used to analyze patterns of “household linguistic isolation” are based on the American Community Survey (ACS) 2014 5-year estimates at the block groupgeographic level. The same scope of subject matter is available for higher level geography. The following graphic shows patterns of linguistic isolation in Los Angeles County. Block groups colored in red have more than 40-percent of households where no household member age 14 years and over speaks English “very well”. Click graphic for larger view showing more detail and legend.

Patterns of Linguistic Isolation; Los Angeles County, CA

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

The next view shows a zoom-in to the vicinity of the pointer shown in the above map. This view shows block groups labeled with total population. Click graphic for larger view showing more detail and legend.

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

Language Spoken by Households – Tabular View
The table presented below shows data from ACS Table B16002 Households by Linguistic Isolation for block group 1 in census tract 212304 (also referred to as 2123.04) in Los Angeles County (037) California (06); geoid=060372123041. This block group is shown toward the center of the above view with population 1,894. Data for this block group are shown in the rightmost column of the table below. 47.2 percent of households (803) are linguistically isolated (317+0+62).


— “Language Spoken” categories are based on four major language groups.

More About Linguistic Isolation
One definition of a “linguistically isolated household” is a household in which all adults have substantial limitation in communicating English. In the ACS data, a household is classified as “linguistically isolated” if 1) no household member age 14 years and over spoke only English, and 2) no household member age 14 years and over who spoke another language spoke English “very well”.

Like many demographic measures, linguistic isolation tends to be “masked” when analyzing data for larger geographic areas, even census tracts, are used. Block group geography provides an ability to locate linguistic isolation in sub-neighborhood areas.

Using Block Group Geography/Data
Census Block Groups sit in a “mid-range” geography between census blocks and census tracts. All cover the U.S. wall-to-wall and nest together, census blocks being the lowest common denominator for each. Block Groups (BGs) are the smallest geographic area for which annually updated ACS 5-year estimates data are tabulated.

Advantages of using BG geodemographics include the maximum degree of geographic drill-down (using ACS data) … enabling the most micro-perspective of demographics for a neighborhood or part of study area. A disadvantages of using BG estimates is that typically the smaller area estimates have a relatively higher error of estimate.

Summary of Steps to Access and Use these Data
The ACS 2014 5-year Table B16002 data can be accessed for Los Angeles County using the following API call (paste the following text into a browser and press Enter). See more about using Census API operations.

At the end of this string is the text “state:06+county:037”. Change the state and county to “state:36+county:061” to access the data for New York County, NY (Manhattan); and similarly for any any county.

The results of the API call are shown in this text file. These data are easily imported into an Excel file. The DBF version of the data were integrated into the Los Angeles County 2014 block group shapefile using the CV XE GIS software dBMerge feature. The Layer Editor was then used to develop the map legend/color intervals. Join me in aData Analytics Lab session to learn more about these steps/operations.

Weekly Data Analytics Lab Sessions
Join me in a Data Analytics Lab session to discuss more details about accessing block group demographics using API tools and integrating those data into analytical applications.  Learn more about integrating these data with other geography, your data and use of data analytics that apply to your situation.

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.