Category Archives: Occupation

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.

Demographic-Economic Comparative Analysis

The Charlotte-Gastonia-Rock Hill NC-SC Metro and Austin-Round Rock-San Marcos TX Metro are roughly the same size based on total population. How do they compare based on educational attainment? percent population in poverty? homeownership rate? age distribution? migration? employment by industry? occupation? How do business opportunities compare? What about other metros? Choose from hundreds of measures in the state/metro demographic-economic interactive tables to compare and contrast states and metros based on side-by-side comparisons.

The U.S.-State-Metro Demographic-Economic interactive tables provide a useful resource to view/compare geographies when ranked on a specific subject matter column of interest. The interactive tables are also useful to view a selected set of geographic areas where subject matter fields are arrayed horizontally for each geographic area. The U.S.-State-Metro Demographic-Economic interactive tables are available in the following Web pages.
• General Demographics DP1 table
• Social Characteristics DP2 table
• Economic Characteristics DP3 table
• Housing Characteristics DP4 table
… side-by-side comparative analysis profiles can often add more to insights.

Comparative Analysis Profiles
Create “comparative analysis profiles” using data presented in the interactive tables. View demographic-economic attributes of selected geographic areas of interest in a side-by-side manner. Place the data in a spreadsheet for further analysis, linking with other data and/or printing or adding to a report.

Partial view of sample file (access full xls file here)

Steps to Create Comparative Analysis Profiles
Step-by-step instructions to create comparative analysis profiles are provided at http://proximityone.com/usstcbsa_dp.htm. Select states and/or metros of interest. Create spreadsheet files for immediate use; save for future applications.

State & Metro Demographic-Economic Interactive Tables

Goto ProximityOne   New U.S. national scope state and metropolitan area demographic-economic interactive tables are now available.  These tables include approximately 600 subject matter items derived from the American Community Survey 2012 1-year estimates.

The interactive tables are organized into four related sections:
• General Demographics
• Social Characteristics
• Economic Characteristics
• Housing Characteristics

Use the interactive ranking tables to view, query, rank, compare demographic-economic characteristics of the population and housing for states and/or metros of interest.  A scroll box is provided for each section that lists each of the subject matter items available for each area in the table.

Importance of these Data
These data provide “richer” demographic-economic characteristics for national scope states and metros. While Census 2010 provides data similar to those items in the General Demographics section, only ACS 2010, 2011, 2012 sourced data provide details on topics such as income and poverty, labor force and employment, housing value and costs, educational participation and attainment, language spoken at home, among many related items. The approximate 600 items accessible via the tract dataset are supplemented by a wide range of additional subject matter.  ACS 2013 state and metro data become available in September 2014.

Occupation-Industry Employment Projections

Goto ProximityOne   For the United States overall, electrical engineers are projected to grow from 306.1 thousand in 2012 to 318.7 thousand in 2022 — an increase of 12.6 thousand or 4.1%. These “demand-driven” projections, new in December 2013, will different from actual employment experienced in 2022 in any given metro or area. Will metros of interest experience a workforce shortage in key highly skilled occupations? How might this impact the regional economy? Cost of labor?

Electrical engineer projections are shown in the following graphic relative to other engineering occupations ranked on projected employment in 2022.
occ_ee

This section is focused on accessing and using these new, very detailed, occupational and industry employment projections for the United States to 2022.  Gain insights into future employment conditions using these resources. Which occupations will growth fastest?  How will change in employment for an occupation be distributed by industry?

Employment Projections Interactive Table
Use this interactive table (link to separate page) to query, view, rank, compare employment projections.  The table shows employment projections by occupation. Click a link in the table to view the projected employment by industry for the selected occupation.

Fastest Growth Occupations
The following graphic illustrates use of the interactive table.  All detailed occupations are ranked in descending order based on change between 2012 and 2022.  Personal care aides increase from 1,190.6 thousand in 2012 to 1,771.4 thousand in 2022 — an increase of 580.5 thousand or 48.8%
occ_growth
Use tools below the table to perform queries on occupations of interest.  Rank on a column of interest by clicking header cell.  Click a link in the Code column to view the distributions of a selected occupation by detailed industry.

Using these Projections & Alternatives
The employment projections in the table are based on December 2013 projections developed by the Bureau of Labor Statistics (BLS).  The projections are provided for 479 detailed occupations and summarized into occupational groups.  These demand-driven projections differ from the ProximityOne Situation & Outlook (S&O) employment projections in several ways. The BLS projections are national level only and provide data for only 2012 and 2022; they are updated every two years.  The S&O projections are available to the county level (less detail), provide annual data to 2030, and are updated quarterly and annually.

The S&O projections are developed using holistic cause and effect simultaneous equation models and reflect expected, projected employment levels.  The BLS projections are based on assumptions about the overall economy growth and do not include extensive cause and effect determinants.  While the BLS projections may provide good demand-based employment conditions, the employment levels may not materialize due to shortages and other factors affecting the supply of labor.

Next Steps
Join us in the next Situation & Outlook quarterly briefing session on January 16, 2014.  We will cover 2030 state and regional demographic-economic patterns and trends based on the latest developments.  See additional details at http://proximityone.com/dmisessions.htm.