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.

Insights into County/Metro Business Establishment Patterns

.. new data, released this past week, enable us to better assess county and metro business establishment patterns .. these data help businesses understand how sales of their products and services align with markets .. what counties might be underserved? .. where should marketing and sales operations be ramped up or reduced in scope/reallocated? .. what do these tell us us about organization of market territories? how are these characteristics trending by county? Use the this interactive table to examine business establishments characteristics by county and metro by type of business. See more detail in the related Web section about topics covered in this post. 

• U.S. establishments rose 1.2% from 7,663,938 in 2015 to 7,759,807 in 2016.
• First quarter employment was up 2.1% from 124,085,947 to 126,752,238
• Annual payroll was up 2.9% from $6.3 trillion in 2015 to $6.4 trillion in 2016.

Based on the 2016 data (new April 2018), there are 7.3 million establishments in Metropolitan Statistical Areas (MSAs). In these MSAs ..
• 5.3 million establishments have fewer than 10 employees.
• 6,522 of these establishments have 1,000 or more employees.
• 374 of these establishments have 5,000 or more employees.

MSAs by Number of Establishments with 1,000 or more Employees
The following graphic shows Metropolitan Statistical Areas (MSAs) by number of establishments with 1,000 or more employees. Click graphic for larger view view showing metros labeled with number of these establishments. Expand brower to full window for best quality view.
.. View developed with CV XE GIS software and related GIS project.

Business Establishment Characteristics Updated in Metro Reports
Examine 2014, 2015, 2016 mini trend profiles for establishments by 2-digit sector in Metro Situation & Outlook Reports Choose any MSA by clicking column 3 in this table .. then view section 6.3. Examples:
New York .. Los Angeles .. Miami .. Chicago .. Dallas .. Houston .. Denver .. Seattle

Gaining Insights
Gain insights into these types of patterns by county by detailed type of business (NAICS). Use the interactive table below to examine business establishment characteristics for counties and metros of interest. Data reviewed in this section are based on the Census-sourced County Business Patterns released in April 2018. We have integrated current population estimates with the establishment data in the interactive table.

Tools You Can Use
• create maps and geospatially analyze business establishments at 6-digit industry detail with ready-to-use GIS project/tools .. see related section for details.
• Use the APIGateway tools to build custom business establishment datasets.
• Use the interactive table to query/view sort business establishment characteristics by county and metro.

Data Analytics Web Sessions
Join me in a Data Analytics Web Session, every Tuesday, where we review access to and use of data, tools and methods relating to GeoStatistical Data Analytics Learning. We review current topical issues and data — and how you can access/use tools/data to meet your needs/interests.

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.

Monthly Local Area Employment Situation; 2015-2016

.. this update on the monthly and over-the-year (August 2015-August 2016) change in the local area employment situation shows general improvement. Yet many areas continue to face challenges due to both oil prices, the energy situation and other factors.  This section provides access to interactive data and GIS/mapping tools that enable viewing and analysis of the monthly labor market characteristics and trends by county and metro for the U.S. See the related Web section for more detail. The civilian labor force, employment, unemployment and unemployment rate are estimated monthly with only a two month lag between the reference date and the data access date (e.g., August 2016 data are available in October 2016).

Unemployment Rate by County – August 2016
The following graphic shows the unemployment rate for each county.

— view created using CV XE GIS and associated LAES GIS Project
— click graphic for larger showing legend details.

As shown in the illustrative interactive table view below, seven of the ten MSAs having the highest August 2016 unemployment rate were in California. Use the table to examine characteristics of counties and metros in regions of interest. As apparent from the monthly patterns shown in the table, some areas are impacted by season factors, but others are not.

View Labor Market Characteristics section in the Metropolitan Area Situation & Outlook Reports, providing the same scope of data as in the table below integrated with other data. See example for the Dallas, TX MSA.

The LAES data and this section are updated monthly. The LAES data, and their their extension, are part of the ProximityOne Situation & Outlook database and information system. ProximityOne extends the LAES data in several ways including monthly update projections of the employment situation one year ahead.

Interactive Analysis
The following graphic shows an illustrative view of the interactive LAES table. Seven of the ten MSAs having the highest August 2016 unemployment rate were in California (ranked on far right column in descending order). Use the table to examine characteristics of counties and metros in regions of interest. 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.

Analyzing County Business Patterns by Type of Business

.. mapping and analyzing county business patterns by type of business … this section reviews use of tools and methods to develop custom U.S. by county business patterns data by type of business and develop mapping and related GIS applications. Steps illustrate how to develop a U.S. by county business patterns dataset for the supermarket  industry — NAICS type of business code 445100. Use the interactive table in this related section to examine supermarket business characteristics by county. Create map views such as shown below and perform wide-ranging business patterns data analytics using the tools. Develop similar applications for any type of business – see full list of NAICS/type of business categories. This section is focused on Census-sourced County Business Patterns released April 2016. There are additional data resources that can be used in a similar manner reviewed in main Web section.

Patterns of Supermarket Establishments by County
The following graphic shows patterns of the number of supermarket establishments by county for the Houston metro (bold boundary) region. Counties are labeled with the number of supermarkets and county name. Number of supermarkets shown by intervals/colors as depicted in legend panel at left of map window. Create custom maps similar to this view for your regions of interest depicting establishments, employment or payroll for your type of business selection(s). Click graphic for larger view with more detail; expand browser window for best quality view.

View developed with CV XE GIS software using GIS project.

See full Web section to access data, tools and more detail.

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.