Note: This is the first of several posts where we’ll highlight bits and pieces of the forthcoming EMSI Data Guide.
This document provides detailed information about EMSI’s data sources, processes, and final proprietary datasets. EMSI gathers and integrates economic, labor market, demographic, and education data from over 80 government and private-sector sources, creating a comprehensive and current database that includes both published data and detailed estimates with full coverage of the United States. Industry, workforce, education, demographic, housing, and other data are available at state, county, and metro area levels, with ZIP code estimates available for core data (industry, occupation, demographics) as well. In addition, by combining dozens of data sources, we can fill gaps in individual sources (such as suppressions and missing proprietors)—yielding a composite database that leverages the strengths of all its sources. Finally, our database is updated quarterly, so our subscribers have access to the most up-to-date integrated information possible.
EMSI Data can be divided into the following general categories (for now we will primarily focus on the Industry and Occupation data):
Industry Data: Industry data is a foundation for any economic or labor market analysis. An industry is a category of economic activity. For example, Joe’s Plumbing might be a particular local business that is classified, along with all other similar businesses, in the industry of “plumbing, heating, and air-conditioning contractors.” To use a different example, Boeing is a single, global corporation that makes aerospace products, but different parts of its business in the United States are classified under different industries, such as “Aircraft manufacturing,” “Aircraft engine and engine parts manufacturing,” “Guided missile and space vehicle manufacturing,” and possibly others. Organizing data by industries helps economists and other researchers look past the details of individual businesses or corporations and see the bigger picture.
Occupation Data: Occupation data counts the number of jobs according to the type of work performed, instead of by industry. An industry describes a type of economic activity that goes on at a particular establishment, while an occupation describes the type of job that a single worker might hold. Examples of occupations are software engineers, registered nurses, fast food cooks, surgeons, janitors, retail cashiers, and accountants. These types of positions are needed by establishments classified in many different industries; for example—manufacturing facilities, hospitals, corporate offices, and restaurants are all types of establishments that employ janitors or bookkeepers.
Demographic Data: Population counts by age, gender, and race/ethnicity; educational attainment
Education Data: Information about postsecondary institutions, college completers by program type, program/occupation crosswalks, and more.
EMSI Regional Input-Output Modeling System: The data necessary to create regional input-output models in EMSI Analyst.