Occupa on Overview. Bakersfield College. Emsi Q Data Set. September Emsi Q Data Set

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Transcription:

Occupa on Overview Emsi Q3 2017 Data Set September 2017 Bakersfield College 1801 Panorama Drive Bakersfield, California 93305 661.395.4921 Emsi Q3 2017 Data Set www.economicmodeling.com Page 1/10

Parameters Occupa ons Code Descrip on 33-3020 Detec ves and Criminal Inves gators Regions Code Descrip on 6029 Kern County, CA Timeframe - 2021 Datarun 2017.3 QCEW Employees, Non-QCEW Employees, and Self-Employed Emsi Q3 2017 Data Set www.economicmodeling.com Page 2/10

Detec ves and Criminal Inves gators in Kern County, CA Occupa on Summary for Detec ves and Criminal Inves gators 214 +10.3% $41.21/hr Jobs () % Change (-2021) Median Hourly Earnings 12% below Na onal average Na on: +1.6% Na on: $37.56/hr Growth for Detec ves and Criminal Inves gators (33-3021) 214 236 22 10.3% Jobs 2021 Jobs Change (-2021) % Change (-2021) Emsi Q3 2017 Data Set www.economicmodeling.com Page 3/10

Percen le Earnings for Detec ves and Criminal Inves gators (33-3020) $28.41/hr $41.21/hr $49.65/hr 25th Percen le Earnings Median Earnings 75th Percen le Earnings Regional Trends Region Jobs 2021 Jobs Change % Change A Region 214 236 22 10.3% B State 12,926 13,380 454 3.5% C Na on 109,983 111,714 1,731 1.6% Emsi Q3 2017 Data Set www.economicmodeling.com Page 4/10

Regional Breakdown * Highlighted areas show coun es that contain the selected zip codes ZIP 2021 Jobs Ridgecrest, CA 93555 (in Kern county) 52 Tehachapi, CA 93561 (in Kern county) 19 Bakersfield, CA 93312 (in Kern county) 17 Rosamond, CA 93560 (in Kern county) 16 Bakersfield, CA 93306 (in Kern county) 12 Emsi Q3 2017 Data Set www.economicmodeling.com Page 5/10

Job Pos ngs Summary 181 4 : 1 Unique Pos ngs (Jan - Aug 2017) Pos ng Intensity (Jan - Aug 2017) 778 Total Pos ngs Regional Average: 7 : 1 There were 778 total job pos ngs for your selec on from January to August 2017, of which 181 were unique. These numbers give us a Pos ng Intensity of 4-to-1, meaning that for every 4 pos ngs there is 1 unique job pos ng. This is lower than the Pos ng Intensity for all other occupa ons and companies in the region (7-to-1), indica ng that they may not be trying as hard to hire for this posi on. Job Pos ngs vs. Hires 9 7 Avg. Monthly Pos ngs (Jan - Aug 2017) Avg. Monthly Hires (Jan - Aug 2017) In an average month, there were 9 unique job pos ngs for Detec ves and Criminal Inves gators, and 7 actually hired. This means there was approximately 1 hire for every 1 unique job pos ng for Detec ves and Criminal Inves gators. Occupa on Avg Monthly Pos ngs (Jan - Aug 2017) Avg Monthly Hires (Jan - Aug 2017) Detec ves and Criminal Inves gators 9 7 Emsi Q3 2017 Data Set www.economicmodeling.com Page 6/10

Occupa on Gender Breakdown Gender Jobs Percent A Males 141 65.7% A Females 74 34.3% Occupa on Age Breakdown Age Jobs Percent A 14-18 0 0.0% A 19-24 3 1.2% A 25-34 44 20.4% A 35-44 76 35.5% A 45-54 59 27.3% A 55-64 27 12.8% A 65+ 6 2.8% Emsi Q3 2017 Data Set www.economicmodeling.com Page 7/10

Occupa on Race/Ethnicity Breakdown Race/Ethnicity Jobs Percent A White 102 47.6% A Hispanic or La no 68 31.8% A Black or African American 20 9.4% A Asian 16 7.4% A Two or More Races 6 3.0% A American Indian or Alaska Na ve 1 0.6% A Na ve Hawaiian or Other Pacific Islander 1 0.3% Occupa onal Programs 2 101 21 Programs () Comple ons () Openings () CIP Code Program Comple ons () 43.0107 Criminal Jus ce/police Science 101 43.0114 Law Enforcement Inves ga on and Interviewing 0 Emsi Q3 2017 Data Set www.economicmodeling.com Page 8/10

Industries Employing Detec ves and Criminal Inves gators Industry Occupa on Jobs in Industry () % of Occupa on in Industry () % of Total Jobs in Industry () Federal Government, Civilian, Excluding Postal Service 92 43.0% 1.0% State Government, Excluding Educa on and Hospitals 61 28.3% 0.7% Local Government, Excluding Educa on and Hospitals 58 27.0% 0.4% Crop Produc on <10 1.6% 0.0% US Postal Service 0 0.1% 0.0% Emsi Q3 2017 Data Set www.economicmodeling.com Page 9/10

Appendix A - Data Sources and Calcula ons Loca on Quo ent Loca on quo ent (LQ) is a way of quan fying how concentrated a par cular industry, cluster, occupa on, or demographic group is in a region as compared to the na on. It can reveal what makes a par cular region unique in comparison to the na onal average. Occupa on Data Emsi occupa on employment data are based on final Emsi industry data and final Emsi staffing pa erns. Wage es mates are based on Occupa onal Employment Sta s cs (QCEW and Non-QCEW Employees classes of worker) and the American Community Survey (Self-Employed and Extended Proprietors). Occupa onal wage es mates also affected by county-level Emsi earnings by industry. CareerBuilder/Emsi Job Pos ngs Job pos ngs are collected from various sources and processed/enriched by Careerbuilder to provide informa on such as standardized company name, occupa on, skills, and geography. Emsi performs addi onal filtering and processing to improve compa bility with Emsi data. Completers Data The completers data in this report is taken directly from the na onal IPEDS database published by the U.S. Department of Educa on's Na onal Center for Educa on Sta s cs. Ins tu on Data The ins tu on data in this report is taken directly from the na onal IPEDS database published by the U.S. Department of Educa on's Na onal Center for Educa on Sta s cs. State Data Sources This report uses state data from the following agencies: California Labor Market Informa on Department Emsi Q3 2017 Data Set www.economicmodeling.com Page 10/10