Population Living Alone & Age 65 Years and Over

.. how many people are living alone in your community, neighborhood? How does this population impact the community? What are their special needs? How does this population vary by area and population group? There were 37.9 million one-person households, 29% of all U.S. households in 2022. In 1960, single-person households represented only 13% of all households. These estimates are based on the 2022 Current Population Survey (CPS). Moving forward, the number of one-person households, people living alone, will increase at the rate of one million or more per year. People in households exclude people living in group quarters. This post examines patterns of people living alone with focus on people living alone age 65 year and over and distribution by small area geography.

While the CPS data provide a current snapshot of the number of people living alone, we have to use data from the American Community Survey to obtain data for smaller area geography like counties and census tracts.

Population Living Alone by Census Tract –Visual Data Analytics
The four graphics below show patterns of the population living alone by census tract. These views have been developed using the Visual Data Analytics (VDA GIS) tools with integrated demographics. Develop variations on these views using the VDA Web GIS using only a web browser.

Patterns of Population Living Alone by Tract

.. click graphic for larger view.

Patterns of Population 65 and Over Living Alone by Tract

.. click graphic for larger view.

Patterns of Population Living Alone by Tract — Houston Metro Area

Patterns of Population 65 and Over Living Alone by Tract — Houston Metro Area

Examine the Data in More Detail
As noted in this related New York Times story, nearly 26 million Americans 50 or older now live alone, up from 15 million in 2000. Older people have always been more likely than others to live by themselves makes up a bigger share of the population than at any time in the nation’s history. The trend has also been driven by deep changes in attitudes surrounding gender and marriage. People 50-plus today are more likely than earlier generations to be divorced, separated or never married. Similar ACS data as used to develop the graphics shown above are available by race/origin. These data are based on the ACS 2020 data; the same scope of data will be available from ACS 2021 to be released in December 2022.

About VDA GIS
VDA Web GIS is a decision-making information resource designed to help stakeholders create and apply insight. Use VDA Web GIS with only a Web browser; nothing to install; GIS experience not required. VDA Web GIS has been developed and is maintained by Warren Glimpse, ProximityOne (Alexandria, VA) and Takashi Hamilton, Tsukasa Consulting (Osaka, Japan).

About the Author
Warren Glimpse is former senior Census Bureau statistician responsible for national scope statistical programs and 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. Join Warren on LinkedIn.

Majority-Minority Population by Census Tract

.. based on the Census Bureau’s assessment of Census 2020 results, the most prevalent racial or ethnic group for the United States was the White alone non-Hispanic population at 57.8%. This decreased from 63.7% in 2010. This trend will continue into the future. Over time, interest has grown in majority-minority areas ranging from congressional districts to neighborhoods. Of the 85,190 Census 2020 census tracts, 28,317 tracts were majority-minority based on Census 2020 demographics. Decision-making information using VDA Web GIS .. examining lending institution assessment areas .. see below.
.. of the 1,113 Census 2020 census tracts in Harris County, TX (Houston), 549 tracts are majority-minority tracts based on Census 2020 data. Minority-majority areas are those areas where the resident population is less than 50% non-Hispanic whites. Use tools and methods described in this section to analyze the majority-minority patterns in your census tracts, neigborhoods, areas of interest.
Patterns of Majority-Minority Population in Harris County, TX
The following view shows patterns of Census 2020 percent majority-minority population by Census 2020 census tract in the Houston area.
This view was developed using the VDA Web GIS. You can create a similar for areas of interest. Only a Web browser is needed. In this view, the tracts layer is selected as the “active layer” and a census tract is clicked in the map window. The tract highlights with a blue hatch pattern and a profile is shown in the lower left panel. See that this tract has a Census 2020 total population of 5,380 (TotPop) and White alone, non-Hispanic population (White1NH) of 131. Use the VDA Table/Query feature to examine tracts in a spreadsheet/grid.
Majority-Minority Population by Tract Interactive Table
The following view illustrates use of the VDA Table/Query feature to examine and query the majority-minority population by tract.

This SQL statement is used to select, compute and show the data in a tabular form by tract.
select uid, geoid, totpop, white1nh, 100*(totpop-white1nh)/totpop where totpop>0 and geoid like ‘48201%’
The percent majority-minority is computed “on the fly”.
The table is ranked by on this sort instruction:
100*(totpop-white1nh)/totpop desc
The resulting table shows tracts as rows with the highest percent majort-minority at the top. A larger population tract is selected by clicking on it in the grid. The tract 48-201-331700 is selected in the table; that tract is zoomed-to in the map, and the demographics are shown in the profile (TotPop 4,045, White1NH 29).
Examining Majority-Minority Tract Patterns in Context of Lending/Mortgages
Majority-minority census tracts relates to banks/lenders and the Community Reinvestment Act (CRA). The following graphic developed using VDA Web GIS, shows locations of a California bank in context of patterns of percent majority-minority tracts. It is easy to see how bank locations relate to patterns of majority-minority tracts. Lenders and stakeholders are enabled to analyze patterns and gain insights. See more about adding/using the national FDIC bank locations data to VDA Web GIS to perform more in-depth analysis.

Using VDA GeoSelect Tool to Examine Assessment/Service Areas
The following graphic illustrates use of the VDA GeoSelect tool to select tracts around a bank location to evaluate demographic characteristics of an area .. an assessment area or service area. As tracts are selected they are shown with a hatch pattern. The Profile panel, lower left, is dynamically updated to show aggregated demographics for the set of tracts selected including total population and race/origin details.

Using the Visual Data Analytics (VDA) Web GIS
Learn more about VDA.
Sign-in to to VDA using browser, nothing to install.
Select the “Base — Majority-Minority Tracts” GIS Project.
The opening view shows majority-minority tract patterns, similar to the above graphic/view.

Learn more — Join me in the Data Analytics Web Sessions
Join me in a Accessing & Using GeoDemographics Web Session where we discuss topics relating to measuring and interpreting the where, what, when, how and how much demographic-economic change is occurring and it’s impact.

About the Author
Warren Glimpse is former senior Census Bureau statistician responsible for national scope statistical programs and 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. Warren Glimpse/ProximityOne/Alexandria, VA USA and Takashi Hamilton/Tsukasa/Osaka, Japan are co-developers of VDA. Contact Warren. Join Warren on LinkedIn.

Examine Neighborhood Demographics for any City

.. examine neighborhood demographics for any city (or county, school district ..) using the no fee, no registration new beta version of the Visual Data Analytics (VDA2) Web GIS. Nothing to install, access with any Web browser. Use this unique and powerful resource to make custom maps similar to the one shown below.

Patterns of Economic Prosperity by Neighborhood in Tampa, FL Area
Examine patterns of economic prosperity by neighborhood in context of a selected county, city or other geography. The following view shows patterns of median household income by census tract in Tampa, FL area. The bold black border shows the city boundary for Tampa; the thematic pattern shows colors associated with intervals of median household income ($MHI). The $MHI layer is set with a see through transparency enabling a view of the underlying topology. Create a view similar to this for any of the 19,500 cities in the U.S. See detailed steps to develop this view in the notes below the graphic.

Map Your Own Map View
Follow these stpe to create your own neighborhood by city map view.  Use other features of VDA2 to access demographic-economic data in a tabular or visual form.

More About VDA2 Web GIS
New in VDA2, not available in VDA1, are the table/query operations. View/analyze data for any layer in a spreadsheet/grid form.  Sort and perform queries on subject matter of interest. Click a button in the data grid to zoom to that geographic area in the map window.  The following graphic shows the VDA2 start-up view after clicking the Query/Table On/Off button. This button (shown below map window at right by pointer) toggles the table view on/off.

.. click graphic for larger view.

Learn more — Join me in the Situation & Outlook Web Sessions
Join me in a Situation & Outlook Web Session where we discuss topics relating to measuring and interpreting the where, what, when, how and how much demographic-economic change is occurring and it’s impact.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for national scope statistical programs and 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.

VDA Mapserver: Comparing Census Tracts & ZIP Codes

.. for small area demographic-economic analysis, census tracts and ZIP code areas both have their advantages and disadvantages.  While the same scope of subject matter data are available from the American Community Survey (ACS) and ProximityOne current estimates and projections for these geographies, it can be difficult to view how the geographic areas visually relate or intersect in a map.  A flexible solution, accessible by any Web browser, is the Virtual Data Analytics (VDA) Mapserver.  See details.  You can start using VDA immediately with nothing to install.

Visual Data Analytics Mapserver
The VDA Mapserver is a learning resource, a tool that you can use for interactive mapping and geospatial analysis using only Internet and a browser. The VDA Mapserver is set apart from related tools due to the scope and style of accessing data for wide-ranging geography and frequently updated demographic-economic subject matter data. Use the unique combination of Federal statistical data with proprietary current estimates and projections.

Other geographies and subject matter will be reviewed in subject posts.

An Illustration: ZIP Code Area 85258, Scottsdale, AZ

– click for larger view.

The above shows a zoom-in to ZIP code area 85258 in Scottsdale, AZ. A step-by-by description of how to develop this view is shown in this section of the VDA guide.

As shown in the graphic, ZIP Code area 85258 intersects with 8 census tracts. ZIP code areas and tracts are not coterminous. On average there are approximately 2.5 tracts per ZIP code area. But there are more than 150,000 intersecting combinations of ZIP Code areas and tracts. See intersecting areas and interactive table.

Learn more — Join me in the Situation & Outlook Web Sessions
Join me in a Situation & Outlook Web Session where we discuss topics relating to measuring and interpreting the where, what, when, how and how much demographic-economic change is occurring and it’s impact.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for national scope statistical programs and 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.

Neighborhood Median Family Income: Measuring Economic Well-Being

.. Median Family Income ($MFI) and Median Household Income ($MHI) are two measures of economic well-being. Based on the 2018 American Community Survey 1-year (ACS) data, the U.S. 2018 $MFI was estimated to be $76,401 while the $MHI was estimated to be $61,937 .. both in 2018/current dollars. Create insights into patterns of well-being by neighborhood using geospatial analysis. $MFI patterns are illustrated by the following thematic pattern map.

Patterns of Economic Prosperity by Neighborhood/Census Tract
The following view shows patterns of $MFI by census tract for the inner beltway area of Houston/Harris County, TX. Income interval color patterns are shown in the inset legend. Tracts are labeled with $MFI. Click graphic for larger view. Expand browser window for best quality view. Larger view shows tracts labeled with tract code. It is easy to see how west Houston and east Houston areas differ.

– view developed with ProximityOne CV XE GIS software and related GIS project.
– these $MFI data are based on the 2018 ACS 5-year estimates.

This section focuses on $MFI but could just as well focus on $MHI and yet other related income measures. $MFI will almost always be greater that $MHI, generally by a large margin. See the U.S. 2018 $MFI and $MHI in context of related demographic-economic measure here. See more about the distinctions/definitions of families and and households below.

The ACS data are a unique source of income and related data at the neighborhood or sub-county level. View more about accessing and using the 2018 ACS 5-year estimates.

Family Definition
A family is a group of two people or more (one of whom is the householder) related by birth, marriage, or adoption and residing together; all such people (including related subfamily members) are considered as members of one family. The number of families is equal to the number of family households. However, the count of family members differs from the count of family household members because family household members include any non-relatives living in the household.

Related … an unmarried partner, also known as a domestic partner, is specifically defined as a person who shares a close personal relationship with the reference person. … Same-sex unmarried-partner families or households – reference person and unmarried partner are both male or female.

Household Definition
A household consists of all the people who occupy a housing unit. A house, an apartment or other group of rooms, or a single room, is regarded as a housing unit when it is occupied or intended for occupancy as separate living quarters; that is, when the occupants do not live with any other persons in the structure and there is direct access from the outside or through a common hall.

A household includes the related family members and all the unrelated people, if any, such as lodgers, foster children, wards, or employees who share the housing unit. A person living alone in a housing unit, or a group of unrelated people sharing a housing unit such as partners or roomers, is also counted as a household. The count of households excludes group quarters. There are two major categories of households, “family” and “nonfamily”.

Situation & Outlook Weekly Web Sessions
Join me in a Situation & Outlook web session to discuss more details about demographic-economic estimates and projections.

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 HMDA/CRA Census Tract Demographics

.. the ability to effectively analyze low, moderate, middle, and upper income population and households by small area geography is important to housing market stakeholders, lenders, investors, cities/neighborhoods and others. Low and moderate income data by block group and census tract are used for compliance, eligibility determination and program performance in many Federal programs and agencies. See the main Web page for more detail.

This section reviews the scope and use of the FFIEC 2019 HMDA/CRA census tract data (released September 2019). Use the interactive table to view, rank, compare selected items from these updated data for any/all tracts. Use GIS tools with these data to map and geospatially analyze these data as illustrated and further described as illustrated here. See more about banking, CRA and LMI tracts and more about these data.

Visual Analysis of Banks in Context Census Tract Demographics
Click graphic for larger view; expand browser window for best quality view.

– view developed using CV XE GIS and related GIS project.
– install this GIS tool and related GIS project on your computer to examines patterns, market share and more.

Low & Moderate Income Population by Census Tract
Low, moderate, middle, upper income classification by census tract is based on the median family income of a specific census tract relative to the metropolitan statistical area (MSA) or non-MSA area in which the tract is located. The FFIEC data include a “low and moderate income indicator”:
1 – Low — MFI is less than 50% of the MSA/parent area MFI
2 – Moderate — MFI is from 50% to 80% of the MSA/parent area MFI
3 – Middle — MFI is from 80% to 120% of the MSA/parent area MFI
4 – Upper — MFI is 120% or more of the MSA/parent area MFI
0 – NA — MFI is 0 or not available
where MFI is the Median Family Income

Low and moderate income designation is closely associated with implementation of the Home Mortgage Disclosure Act (HMDA) and the Community Reinvestment Act (CRA) and is a widely used in many other applications as a measure of economic prosperity.

Using the Interactive Table
Use the interactive table to examine individual tracts or sets of tracts as to their low and moderate income status and related demographics. The following view illustrates use of the table. Clicking buttons below table, this sequence of steps was used to obtain this view:
– click ShowAll
– click “Find CBSA; Low & Mod Tracts”
  >this selects tract in CBSA 26420 (Houston) that are low or mod
– click “Status Cols”
The table refreshes to show 470 tracts that are low/mod in this metro.
Finally, click the column header “Tract MFI %Region” to sort in descending order.

View your areas of interest. Start the steps over and use your CBSA code for a metro of interest.

Bankers Analytics Tools Web Sessions
Join me in a Bankers Analytic Tools Lab session (every Wednesday 3:00 pm ET) 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.
Topics:
• mapping and geospatially analyzing your data with FFIEC data
• tract demographic vintages and trends
• issues regarding MSA/MD vintage, change; about the 2018 vintage CBSAs
• defining and using assessment area geography
• examining the community & neighborhoods in context of assessment areas
• using the FDIC bank location/deposits data with FFIEC/ACS demographics
• using the FFIEC/ACS interactive table below
• alternative methods of accessing census tract ACS data

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.

Using GIS & GeoDemographics

.. join us in the GIS & GeoDemographics self-paced, online course.

Visual representation, maps, of demographic data by geographic area can be exciting and rewarding. Using Geographic Information Systems (GIS) can bring maps alive. Creativity is boundless. The banner at the top of the corresponding Web section presents a static view of a map rendered using GIS. This map shows the Los Angeles area by census tract. For the analyst or stakeholder, it shows something more — the percent Asian citizen voting age population by tract, overlayed with Congressional District boundaries and codes. It shows relationships, patterns. Using the power of GIS, the zoom level, colors, legend, and labeling can all be changed immediately. You, the GIS user, are at once analyst, artist and storyteller. In control of your medium, canvas, you further your benefits from use these software and data by making dynamic presentations in collaborations. Make compelling arguments. Capture your views and blend them with words and charts into documents. Welcome to the world of GIS and geodemographics.

Mapping census block demographics
The graphic shown below illustrates use of GIS software with the TIGER digital map database census block shapefile to show census blocks for two Ohio counties in context of 2018 CBSAs/Metros. Clicking on a census block (see pointer) shows a mini profile for that block.

– view developed using ProximityOne CV XE GIS and related GIS project.

Using GIS & GeoDemographics .. about the course
Examining geographic-demographic-economic characteristics, patterns and trends … researchers, policymakers, journalists, administrators, students among others. How can you most benefit from using the TIGER geographic data to meet your objectives? These data are available at no cost. Join us in the Using GIS Tools & GeoDemographics online, self-paced course. Learn all aspects of using the Census Bureau TIGER files and related Census-sourced and other Federal statistical data. Augment your professional skills; participants receive all required data, methods and tools. Your personal session is developed and coordinated by Warren Glimpse. You receive the GIS course certificate upon completion. The course may be started at any time and includes requisite Windows-based CV XE GIS software. The course assumes the participant has basic familiarity with a Windows computer, Internet and spreadsheet operations. No GIS related experience is required. Experienced GIS professionals also benefit by learning about the use and nuances of Census-sourced data and integrating these with other data. The structure includes four segments that typically require 2.5 hours each. It is feasible to complete the course in a day or two though we suggest two weeks.

Use Geographic Information Systems (GIS) with TIGER … integrate/analyze data from American Community Survey (ACS) or the decennial census (Census 2010) (Census 2020) into TIGER files to make thematic maps. Merge data from other statistical programs. Geocode your address-based data and add the geocoded data to a GIS project/map view; examine patterns. View your market/service areas and assess competitive position, unmet opportunities. Learn about procedures and strategies to develop GIS projects that meet your needs. Acquire the tools and data to perform these tasks without spending more — provided as a part of our course.

The course is not just about TIGER and demographic-economic data. It provides a well-rounded framework for how to use GIS. While TIGER is a focus, we review procedures to access and use thousands of public use shapefiles and GIS files that may be useful to you. It provides a well-rounded framework for how to use GIS.

Enroll today …
Click the enrollment button/link (opens new page) to enroll now ($395). We will contact you and provide next step information.   Questions? Call us at (800)364-7656.

Data Analytics Web Sessions
Join me in a Demographics 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 Demographic-Economic Characteristics & Trends

..  Census tract demographics are used in wide-ranging public and private sector applications to examine patterns and characteristics of sub-county areas. Tract level data from Census 2000, Census 2010 and the American Community Survey (ACS) can be used to analyze trade/market areas, neighborhoods and other small area study areas. But what about more current data and trends since 2010? What about business establishment data and other subject matter not included in either the census or ACS data?

There are no current demographic-economic census tract data available from the Census Bureau or other Federal statistical programs. Annually released ACS 5-year estimates are available by census tract but are for 5-year periods and dated. The most recent census tract level ACS data are based on the ACS 2017 5-year estimates (ACS 1317). Those data are not for the year 2017 but estimates for ACS survey respondents for the 5 year period 2013-2017; centric to mid-2015.

Patterns of Median Household Income %Change by Census Tract
The graphic below shows patterns of economic prosperity change based on median household income percent change ACS 2012 to ACS 2017 by tract in the Dallas metro area.

– view developed using ProximityOne CV XE GIS and related GIS project.

Using the Interactive Table
Use the interactive table .. click this link .. to view, query, rank, compare selected characteristics of the population, housing, educational attainment and income for census tracts based on ACS 2012 5-year, and ACS 2017 5-year data. Hundreds of additional items are available. See about related census tract data resources and applications.

Try it yourself ..
Tracts with ACS 2017 population 3,500-4,500 ranked on change in $MHI:
Replicate the following graphic using the interactive table. This view was produced by clicking the Pop17 button below the table to select only tracts with a ACS 2017 population between 3,500 and 4,500. Then the $MHI columns button was clicked to view only selected columns. Finally the qualifying tracts were sorted in descending order by clicking the $MHI Change column header cell.

Based on these estimates, tract 04013105004 in Maricopa County, AZ is top ranked, where the $MHI increased by $97,723 from the ACS 2012 5-year period to the ACS 2017 5-year period.

Corresponding API calls to access the $MHI for this tract (click links to access data):
ACS 2012 $MHI … ACS 2017 $MHI
Join us in an upcoming Data Analytics Web Session (see below) to learn more about using APIs to access these data and similar data.

Access more detailed ACS 2017 tract interactive tables:
  General demographics .. Social .. Economic .. Housing

Demographic Analytics Web Sessions
Join me in a Demographics 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.

Mapping Census Tracts & Opportunity Zones

.. using the U.S. by census tract shapefile in the CV XE GIS US1 GIS project .. a no fee resource to ProximityOne User Group members (a no cost program, join here) .. view, locate, examine, map, geospatially analyze census tract geodemographics — in context of other geography and subject matter.

Census Tracts in Las Vegas Area

– create this type of map for any area in the U.S.
– use the CV XE GIS software with the default US1 GIS project.
– no cost to ProximityOne User Group members.

Click graphic above for larger view showing zoom-in. Tracts in larger view are labeled with tract code and ACS 2017 total population. See related ACS 2017 census tract interactive table with extended demographics.

The U.S. census tract shapefile has been added to the ProximityOne “US1” GIS project (included with installation). We have made it easy and free to visually locate census tracts of interest and view the boundaries in context of counties and general topology. Install CV XE GIS or run update if already installed. Examining tracts related to the Opportunity Zones? Each tract includes an identifier enabling you to select or find only those tracts.

See step-by step details on using these resources.

Data Analytics Web Sessions
See these applications live/demoed. Run the applications on your own computer.
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.

Employment by Occupation by Census Tract; 5-Year Trends

.. data and tools to examine patterns of employment by occupation by census tract and 5-year change .. the U.S. civilian employed population increased from 142.9 million in 2012 to 155.1 million in 2017, an increase of 12.1 million (8.5%) based on the American Community Survey (ACS) 1-year estimates. See this table to see how the employed population were distributed by occupation in 2012, 2017 and the 5-year change. How did your neighborhoods or market/service areas of interest change over the past 5 years? How will occupational employment patterns by tract/neighborhood change between now and 2023?

Patterns of Percent Employed in Health Occupations by Census Tract
The following graphic shows patterns of the employed population in health occupations as a percent of total civilian employed population ages 16 and over in the Minneapolis-St. Paul metro. This view uses the occupational category MBSA40 Healthcare practitioners and technical listed in scroll section below. Tracts with blue or green pattern exceed the national average as shown in national table. Click graphic for larger view, more detail (shows schools layer) 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 related graphic showing tract with the largest employment in the “Healthcare practitioners and technical” occupational group among all tracts.

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

Drill-down to Census Tract Level
Examining patterns of employment by occupation, for the same scope of subject matter, at the sub-county level can provide more insights. What is the size of the employment for a selected occupation in a neighborhood or market/service area of interest? How has the size of an occupational group by census tract changed over the past five years? How do these patterns rank/compare by tract in a particular state, metro or county? Data on employment by occupational category from the Federal statistical system on a U.S. national scale for counties, cities and census tracts are only available from the American Community Survey (ACS).

Use tools, resources and methods described here to access, integrate and analyze employment by occupation for the U.S. by census tract. Use the interactive table to view, query, rank, compare census tract occupational characteristics, patterns and trends. Data are based on the American Community Survey (ACS) 2017 5-year estimates.

Related sections with census tract interactive tables:
– General Demographics .. Social .. Economic .. Housing 

Current Estimates & Projections
ACS tract/small area estimates lag by four years or more between the current year and reference year. ACS does not produce current year annual estimates but estimates based on a 5-year period. The 2017 ACS estimates are centric to 2015. Use the ProximityOne annual tract estimates and projections 2010 through 2023 for current year (e.g., characteristics as of 2018) estimates and anticipated change 5 years ahead.

Using the Interactive Table
An example of using the interactive table to view, query, rank, compare census tract occupational characteristics, patterns and trends is shown by the graphic presented below. The table shows 6 columns of employment data for all tracts in Harris County, TX. The table is ranked on the ACS 2017 health occupations employment (MBSA40) column. Tract 48-201-312600 had largest ACS 2017 health employment of 1,078 among all tracts in the county. Compare to 2012 patterns. Use settings below table to develop a similar view your geography and occupations of interest.

Occupational Categories
The interactive table includes occupational categories listed below.
Total population
Total Civilian employed population 16 years and over
MBSA00 . Management, business, science, and arts
MBSA10 . . Management, business, and financial
MBSA11 . . . Management
MNSA12 . . . Business and financial operations
MBSA20 . . Computer, engineering, and science
MBSA21 . . . Computer and mathematical
MBSA22 . . . Architecture and engineering
MBSA23 . . . Life, physical, and social science
MBSA30 .. Education, legal, community service, arts, and media
MBSA31 … Community and social service
MBSA32 … Legal
MBSA34 … Education, training, and library
MBSA35 … Arts, design, entertainment, sports, and media
MBSA40 .. Healthcare practitioners and technical
MBSA41 … Health diagnosing & treating practitioners & other tech
MBSA42 … Health technologists and technicians
SVC00 . Service
SVC10 . . Healthcare support
SVC20 . . Protective service
SVC21 . . . Fire fighting/prevention & other protective services
SVC22 . . . Law enforcement workers including supervisors
SVC30 . . Food preparation and serving related
SVC40 . . Building and grounds cleaning and maintenance
SVC50 . . Personal care and service
SOF00 . Sales and office
SOF10 . . Sales and related
SOF20 . . Office and administrative support
NRC00 . Natural resources, construction, and maintenance
NRC10 . . Farming, fishing, and forestry
NRC20 . . Construction and extraction
NRC30 . . Installation, maintenance, and repair
PTM00 . Production, transportation, and material moving
PTM10 . . Transportation
PTM20 . . Material moving

Data Analytics Web Sessions
See these applications live/demoed. Run the applications on your own computer.
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.