IdealSpot Location Intelligence - GeoData Experts

S. trade areas: state, county, census tract, and block group. Zip code data is available by aggregating block groups.

Workplace data is vital to understanding the working consumers and the businesses in which they are employed. Our Workforce Data is updated every three months and delivers business insight that can be aggregated across postal codes, DMAs, or catchment geo regions. Our workforce and employment data does not use workplace estimates from the traditional database providers, as most other data product providers do.

S. S. S.

S. Postal Service Our workforce and employment data is organized according to two industry classification systems: The North American Industry Classification System (NAICS). S.

economy. An industry consists of a group of establishments primarily engaged in producing or handling the same product or group of products, or in rendering the same services. NAICS uses a six-digit hierarchical coding system to classify all economic activity into 20 industry sectors: 5 goods-producing and 15 services-producing.

WorkPlace uses the NAICS numbering system in the WorkPlace field names. It is the only industry data to do so. See the variable definitions for more information.

The 2010 Standard Occupational Classification (SOC) system. SOC is used by federal statistical agencies to classify workers into occupational categories for collecting, calculating, or disseminating data. All workers are classified according to duties, skills, and education into one of 840 detailed occupations, including 23 major groups, 97 minor groups, and 461 broad occupations.

Dataset includes: ** Population, Day Time: Daytime population is the sum of the following subcategories: retired and disabled people, homemakers and working age people not in the labor force, unemployed people, employed people, persons working at home (both self-employed and employed by a company), children at home (typically preschool), and students (Pre- K to 12th and post-secondary, including college and vocational). Daytime population data provides researchers with a more accurate understanding of the distribution of people during the day within their trade areas. Also, it provides a better understanding of the type of persons within the store’s trade area.

** Workforce, Race: The number of employees in the area by race. ** Workforce, Hispanic Ethnicity: The number of employees in the area by hispanic ethnicity. ** Workforce, Age: The number of employees in the area by age.

** Workforce, Gender: The number of employees in the area by gender. ** Workforce, Education: The number of employees in the area by education. ** Establishments, Total: The estimated total number of businesses and establishments in an area, and eight quarters of historical data.

** Employees, Number of Full Time Equivalent (FTE): The estimated total number of employees in an area, and eight quarters of historical data. ** Employees, FTE by Category: The estimated total number of employees by industry category in an area, and eight quarters of historical data. ** Commuter Travel (Linear) Distance to Home: The estimated number of employees traveling home by direction and distance.

** Salary/Wage Per Employee Per Annum: Estimates of employees’ salary and wages per employee per year. ** Salary/Wage Per Employee Per Annum Stats: Estimates of employees’ salary and wages per employee per year. ** Establishments, By Industry: The estimated total number of businesses and establishments by industry an area, and eight quarters of historical data.

** Occupation, By Categories: Occupation estimates by various categories. Please contact us for any custom needs across regions or time series.