Occupations in Demand
Methodology
What is OID?
Occupations in Demand (OID) are currently available career opportunities in a local labor market as determined by local labor market data. A demand score blends Job Vacancy Survey (JVS) data, Occupational Employment Statistics (OES) data, and Unemployment Insurance (UI) claims data.
Job vacancies for the Economic Development Region (EDR):
There are thirteen EDRs and six planning regions in the state. A high number of vacancies will increase the occupation’s demand score.
Number of existing jobs from Occupational Employment Statistics (OES) in the EDR:
Having a high number of jobs in a given region increases the demand score for that occupation.
Number of UI weeks claimed:
A high number of Unemployment Insurance weekly claims will reduce the occupation’s demand score.
Seasonality in the occupation as measured by the Job Vacancy Survey:
A high share of vacancies that are reported as temporary will tend to pull the score down because it indicates seasonality and/or the predominance of short-term job opportunities in the field.
The OID list for a region is the group of occupations that rank highest, given all these factors. Lists are updated on a semi-annual basis for the thirteen Economic Development Regions (EDRs). All Workforce Service Areas (WSAs) fit into an EDR.
Because the statistics are not perfect and to make use of more recent information that the statistics may not take into account, Regional Analysts review lists for their regions and edit them based on local knowledge. For example, a regional analyst may have first-hand knowledge of a business opening shortly which will result in numerous job opportunities not yet captured by the Job Vacancy Survey.
In addition to the demand score, OID web presentation also include future occupational outlook information supplied by the Employment Projections program, median wage data from OES, and the typical training (or degree) required as determined by the U.S. Bureau of Labor Statistics as well as a link to information on related training programs offered around the state. This information helps the user determine if the job is attractive and what skills or training might be necessary to obtain it.
How is OID Calculated?
OID ranks occupations on the basis of the following variables:
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Variable
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Data Source
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Employment
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Occupational Employment Statistics (OES) 2009
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Job Vacancies
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Job Vacancy Survey last 4 rounds from Q2 2008 to Q4 2009
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Unemployment Insurance Weeks Claimed (not initial but continued claims)
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Unemployment Insurance administrative data from 2009 to 2010.
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Seasonality expressed as:
Vacancies reported as Temporary or Seasonal
Total vacancies with responses to this question
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Job Vacancy Survey last 4 rounds from Q2 2008 to Q4 2009
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Formula:
EMPshare + JVshare - UIshare – SEASONshare
Where:
-Employment Share for an individual occupation is the occupation’s share of total EDR employment
-EDR JV Share for an individual occupation represents the occupation’s vacancies as a share of all vacancies reported within the EDR over the last two years.
-UI Share for an individual occupation is the occupation’s share of total weeks of Unemployment Insurance claimed in the EDR over the last two years.
-Seasonality Share has been calculated as follows:
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Occupation’s % seasonality * Occupation’s EDR employment share
Average % seasonality for all occupations
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This score is preceded by a minus sign because it is used to reduce an occupation’s short-term demand based on the level of seasonality within that occupation.