US Employment Projections By Occupations 2016-2026

$199 / year

This dataset contains indicators related to employment projections by detailed occupations, workers education and training characteristics, occupational separations and openings. The occupations denominations are based on the 2016 Standard Occupational Classification.

Complexity

Bureau of Labor Statistics provides projections of occupational employment, occupation within industry employment, occupational separations, and information on education by occupation. Bureau of Labor Statistics projections of industry and occupational employment are developed in a series of six interrelated steps, each of which is based on a different procedure or model and assumptions: labor force, aggregate economy, final demand (Gross Domestic Product) by consuming sector and product, industry output, industry employment, and employment and openings by occupation. The results produced by each step are key inputs to following steps, and the sequence may be repeated multiple times to allow feedback and to ensure consistency.

Labor force projections are based on expectations of the future size and composition of the population, as well as on the trends in labor force participation rates of different age, gender, race, and ethnic groups, a total of 136 separate categories. The U.S. Census Bureau prepares projections of the resident population. Wage data cover non-farm wage and salary workers and do not cover the self-employed, owners and partners in unincorporated firms, or household workers

This dataset contains only the indicators related to the occupational projections, for the occupations classified in the 2016 Standard Occupational Classification (SOC). The SOC classifies all occupations in which work is performed for pay or profit. The SOC covers all jobs in the national economy, including occupations in the public, private, and military sectors. The data for the projections related to the industry employment are not included in this dataset, although they are part of a common report based on the above mentioned steps of analysis.

Date Created

2017-10-26

Last Modified

2017-10-26

Version

2017-10-26

Update Frequency

Biennial

Temporal Coverage

2016-2026

Spatial Coverage

United States

Source

John Snow Labs => United States Department of Labor, Bureau of Labor Statistics

Source License URL

John Snow Labs Standard License

Source License Requirements

N/A

Source Citation

N/A

Keywords

Bureau of Labor Statistics, Occupational Outlook, Employment Projections, Labor Market Trends, Employment Forecast, 'Standard Occupational Classification (SOC), Median Annual Wage 2016, National Employment Matrix, Occupational Openings, Occupational Separations

Other Titles

US Employment Forecasts By Occupations 2016-2026, US Labor Market Trends By Occupations 2016-2016

Name Description Type Constraints
Standard_Occupations_Classifications_CodeThe 2016 Standard Occupational Classification code corresponding to a group or to an occupationstringrequired : 1
Occupations_Classification_Major_GroupFirst level of aggregation of the occupations according to the 2016 Standard Occupational Classificationstringrequired : 1
Occupations_Classification_Minor_GroupSecond level of aggregation of the occupations according to the 2016 Standard Occupational Classificationstring-
Occupations_Classification_Broad_OccupationThird level of aggregation of the occupations according to the 2016 Standard Occupational Classification; for some occupations clusters the third level is the lowest level of aggregationstring-
Occupations_Classification_Detailed_OccupationFourth level of aggregation of the occupations according to the 2016 Standard Occupational Classificationstring-
Group_Or_Occupation_TypeSpecifies if the corresponding values are calculated for a cluster of occupations with the lowest level of aggregation ("Line item") or as a "Summary" value for another level of aggregation; at the same time specifies if the cluster of occupations is the lowest one taking into consideration the fact that for some occupations clusters the third level is the lowest level of aggregationstringenum : Array required : 1
Employees_Thousands_2016The number of employees divided by one thousand, belonging to a cluster of occupations, in the year 2016numberlevel : Ratio
Employees_Thousands_2026The projected number of employees divided by one thousand, belonging to a cluster of occupations, in the year 2026numberlevel : Ratio
Percent_From_Total_Employees_2016The percent of employees, belonging to a cluster of occupations, of the total number of employees, in the year 2016numberlevel : Ratio
Percent_From_Total_Employees_2026The percent of employees, belonging to a cluster of occupations, of the total number of employees, in the year 2016numberlevel : Ratio
Difference_Employees_Thousands_2026_2016The difference between the number of employees, belonging to a cluster of occupations, in 2026 and in 2016, divided by one thousandnumberlevel : Ratio
Difference_Of_Percent_From_Total_Employees_2026_2016The difference between the percent of employees, belonging to a cluster of occupations, in 2026 and in 2016, divided by one thousandnumberlevel : Ratio
Occupational_Openings_Annual_Average_Thousands_2016_2026The projected number of openings (positions) for workers entering the occupation, belonging to a cluster of occupations, calculated as an annual average between 2016-2026 and divided by one thousandnumberlevel : Ratio
Percent_Self_Employed_2016Shows how many jobs come from Current Population Survey (U.S. Census Bureau) data on unincorporated self-employed persons in their primary job for a cluster of occupations, in 2016numberlevel : Ratio
Median_Annual_Wage_USD_2016The median annual wages for wage and salary employees in each cluster of occupationsintegerlevel : Ratio
Is_Median_Annual_Wage_Equal_Or_Over_208000_USDSpecifies whether the cluster of occupations for which the median annual wage is bigger than a threshold of 208000 USDboolean-
Typical_Education_Needed_For_EntryThe typical level of education that most workers need to enter the occupation, belonging a occupation clusterstringenum : Array
Work_Experience_In_A_Related_OccupationThe level of work experience in a related occupation that most workers need to enter the occupation, belonging a occupation clusterstringenum : Array
Typical_On_The_Job_Training_NeededThe level of any additional training or preparation that is typically needed, once employed in an occupation, to attain competency in the skills needed in that occupation, belonging a occupation clusterstringenum : Array
Occupational_Separations_Rate_Labor_Force_Exits_2016_2026The annual average of the percent of workers projected to leave an occupation which belongs to a occupation cluster and exit the labor force, for the 2016-2026 interval of yearsnumberlevel : Ratio
Occupational_Separations_Rate_Occupational_Transfers_2016_2026The annual average of the percent of workers projected to leave an occupation which belongs to a occupation cluster and transfer to a different occupation, for the 2016-2026 interval of yearsnumberlevel : Ratio
Occupational_Separations_Rate_Total_2016_2026The annual average of the percent of workers projected to leave an occupation which belongs to a occupation cluster and transfer to a different occupation or exit the labor force, for the 2016-2026 interval of yearsnumberlevel : Ratio
Occupational_Separations_Labor_Force_Exits_Thousands_2016_2026The annual average of the number of workers divided by one thousand, projected to leave a occupation which belongs to a occupation cluster and exit the labor force, for the 2016-2026 interval of yearsnumberlevel : Ratio
Occupational_Separations_Occupational_Transfers_Thousands_2016_2026The annual average of the number of workers divided by one thousand, projected to leave an occupation which belongs to a occupation cluster and transfer to a different occupation, for the 2016-2026 interval of yearsnumberlevel : Ratio
Occupational_Separations_Total_Thousands_2016_2026The annual average of the number of workers projected to leave an occupation which belongs to a occupation cluster and transfer to a different occupation or exit the labor force, for the 2016-2026 interval of yearsnumberlevel : Ratio
Is_Faster_Growing_OccupationSpecifies whether the cluster of occupations is one of the 34 of faster growing occupations until 2026, with regard to the change in number and percent of employees and to the median annual wagebooleanrequired : 1
Is_Occupation_With_Most_GrowthSpecifies whether the cluster of occupations is one of the 34 of occupations with most growth until 2026, with regard to the change in number and percent of employees and to the median annual wagebooleanrequired : 1
Is_Fastest_Declining_OccupationSpecifies whether the cluster of occupations is one of the 34 of fastest declining occupations until 2026, with regard to the change in number and percent of employees and to the median annual wagebooleanrequired : 1
Is_Occupation_With_The_Largest_Jobs_DeclineSpecifies whether the cluster of occupations is one of the 34 of occupations with the largest jobs decline until 2026, with regard to the change in number and percent of employees and to the median annual wagebooleanrequired : 1
Standard_Occupations_Classifications_CodeOccupations_Classification_Major_GroupOccupations_Classification_Minor_GroupOccupations_Classification_Broad_OccupationOccupations_Classification_Detailed_OccupationGroup_Or_Occupation_TypeEmployees_Thousands_2016Employees_Thousands_2026Percent_From_Total_Employees_2016Percent_From_Total_Employees_2026Difference_Employees_Thousands_2026_2016Difference_Of_Percent_From_Total_Employees_2026_2016Occupational_Openings_Annual_Average_Thousands_2016_2026Percent_Self_Employed_2016Median_Annual_Wage_USD_2016Is_Median_Annual_Wage_Equal_Or_Over_208000_USDTypical_Education_Needed_For_EntryWork_Experience_In_A_Related_OccupationTypical_On_The_Job_Training_NeededOccupational_Separations_Rate_Labor_Force_Exits_2016_2026Occupational_Separations_Rate_Occupational_Transfers_2016_2026Occupational_Separations_Rate_Total_2016_2026Occupational_Separations_Labor_Force_Exits_Thousands_2016_2026Occupational_Separations_Occupational_Transfers_Thousands_2016_2026Occupational_Separations_Total_Thousands_2016_2026Is_Faster_Growing_OccupationIs_Occupation_With_Most_GrowthIs_Fastest_Declining_OccupationIs_Occupation_With_The_Largest_Jobs_Decline
23-0000Legal occupationsSummary1283.31409.10.80.8125.89.891.914.479650false2.43.55.932.946.579.4falsefalsefalsefalse
51-0000Production occupationsSummary9356.98971.66.05.4-385.3-4.1993.82.633130false4.17.111.3380.36521032.3falsefalsefalsefalse
11-0000Management occupationsSummary9533.110411.56.16.2878.39.2851.219.8100790false2.84.87.7283.8479.6763.4falsefalsefalsefalse
51-7000Production occupationsWoodworkersSummary279.3285.10.20.25.92.130.49.730210false4.56.110.612.617.229.8falsefalsefalsefalse
23-2000Legal occupationsLegal support workersSummary425.1472.20.30.347.111.146.75.249560false3.46.09.415.126.942falsefalsefalsefalse
33-0000Protective service occupationsSummary3505.63663.82.22.2158.24.5397.20.538660false5.15.610.6181.8199.6381.4falsefalsefalsefalse
31-0000Healthcare support occupationsSummary4315.65315.52.83.2999.923.2635.42.827910false5.75.511.1272.4262.9535.4falsefalsefalsefalse
51-5100Production occupationsPrinting workersSummary267.3237.90.20.1-29.4-11.025.14.535120false4.76.411.111.816.328falsefalsefalsefalse
41-0000Sales and related occupationsSummary15747.816255.210.19.7507.43.22208.77.826590false5.87.713.5931.61226.42158falsefalsefalsefalse
11-1000Management occupationsTop executivesSummary2627.52826.61.71.7199.17.6235.33.2102320false2.25.77.959.4156.0215.4falsefalsefalsefalse