Weekly Wage for Any Industry - with comparison to U.S.
Retail: MAPHOME - Location - Site Optimization, including Digital
Geo-Tech™ Capacity and Local Workforce Demographics
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About Workforce Data

Using the Workforce Data: The most effective way to learn about local day-time patterns and a particular workforce data element is to look at the number, percent, and concentration values together. Using Data.

The North American Industry Classification System (NAICS), the Standard Occupation Classification (SOC) system, and the U.S. Department of Labor, Employment and Training Administration's O*NET® system are used in our industry, occupation, and Geo-Skill™ analysis.

Total industry employment is based on daytime population (workforce) using business counts, which geographically summarize the number of employees in an industry (NAICS) by business establishment. Industry employment is presented at the 2-digit NAICS. Our industry-specific reports include the number of establishments and employees at the 4-digit NAICS, as well as the employment percent of the workforce and the Industry Employment index™ (IEI).

General Workforce and Industry-Specific Occupation Employment Counts

Our general workforce and industry-specific occupational profiles rely on source data from the Occupation Employment Survey (OES), which is collected by the U.S. Department of Labor Bureau of Labor Statistics. Our occupation distribution is developed based on national industry averages and uses local industry classifications and business counts. Based on the Standard Occupation Classification (SOC) system, our data includes the employment number for more than 750 occupations that make up a local workforce, each occupation's percent of the geographical workforce, and its concentration.

Because skills and talent are highly transferable and workers now regularly move between jobs, careers, and industries – the WFS industry specific occupation employment breakdowns show two things. They list the top occupations that make up employment in that industry based on the national figures, and they include the total employment counts for these occupations across all industry sectors, not just those employed in the given sector. This gives a more realistic gauge of the number and kinds of workers who can meet the given industry's labor needs - those who can support specific projects including site selection. (NOTE: A top occupation is defined as one that has the highest employment number based on the national figures.)

For example, an accountant is a critical occupation/worker in retail given that it has a top employment count. Therefore, the retail data set includes employment counts for all accountants in the selected geographic place. As another example: when comparing Health Care Industry Employment (4 level NAICS) to the health care occupation profile - the breakdown of employment by occupations includes all health care related worker employment across all local industry sectors, as in the case of a school nurse, and not just those employed in a health care 4th level NAICS industry.

NOTE: WFS also has custom workforce breakdowns – for example – occupation employment breakdown by engineer type in biotech manufacturing (4 level NAICS.

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