Occupa on Overview Emsi Q2 2018 Data Set June 2018 Moscow, Idaho 83843 Emsi Q2 2018 Data Set www.economicmodeling.com Page 1/10
Parameters Occupa ons Code Descrip on 15-1132 So ware Developers, Applica ons Regions Code Descrip on 42660 Sea le-tacoma-bellevue, WA Timeframe 2017-2018 Datarun 2018.2 Employees Emsi Q2 2018 Data Set www.economicmodeling.com Page 2/10
So ware Developers, Applica ons in Sea le-tacoma-bellevue, WA So ware Developers, Applica ons (SOC 15-1132): Develop, create, and modify general computer applica ons so ware or specialized u lity programs. Analyze user needs and develop so ware solu ons. Design so ware or customize so ware for client use with the aim of op mizing opera onal efficiency. May analyze and design databases within an applica on area, working individually or coordina ng database development as part of a team. May supervise computer programmers. Sample of Reported Job Titles: So ware Developer Applica ons Developer.NET Developer So ware Engineer So ware Development Engineer Informa on Technology Analyst (IT Analyst) Applica on Integra on Engineer Technical Consultant So ware Architect Computer Consultant Related O*NET Occupa on: So ware Developers, Applica ons (15-1132.00) Occupa on Summary for So ware Developers, Applica ons 47,701 +3.7% $61.69/hr Jobs (2017) % Change (2017-2018) Median Hourly Earnings 323% above Na onal average Na on: +3.6% Na on: $48.12/hr Emsi Q2 2018 Data Set www.economicmodeling.com Page 3/10
Growth for So ware Developers, Applica ons (15-1132) 47,701 49,443 1,742 3.7% 2017 Jobs 2018 Jobs Change (2017-2018) % Change (2017-2018) Percen le Earnings for So ware Developers, Applica ons (15-1132) $51.08/hr $61.69/hr $75.24/hr 25th Percen le Earnings Median Earnings 75th Percen le Earnings Emsi Q2 2018 Data Set www.economicmodeling.com Page 4/10
Regional Trends Region 2017 Jobs 2018 Jobs Change % Change A Region 47,701 49,443 1,742 3.7% B San Francisco-Oakland-Hayward, CA 37,566 39,874 2,308 6.1% Regional Breakdown County 2018 Jobs King County, WA 45,326 Snohomish County, WA 3,585 Pierce County, WA 532 Emsi Q2 2018 Data Set www.economicmodeling.com Page 5/10
Job Pos ngs Summary 48,777 6 : 1 41 days Unique Pos ngs Pos ng Intensity Median Pos ng Dura on 277,466 Total Pos ngs Regional Average: 32 days Regional Average: 4 : 1 There were 277,466 total job pos ngs for your selec on from January 2017 to April 2018, of which 48,777 were unique. These numbers give us a Pos ng Intensity of 6-to-1, meaning that for every 6 pos ngs there is 1 unique job pos ng. This is higher than the Pos ng Intensity for all other occupa ons and companies in the region (4-to-1), indica ng that they may be trying harder to hire for this posi on. Job Pos ngs vs. Hires 8,888 1,619 Avg. Monthly Pos ngs (Jan 2017 - Apr 2018) Avg. Monthly Hires (Jan 2017 - Apr 2018) In an average month, there were 8,888 unique job pos ngs for So ware Developers, Applica ons, and 1,619 actually hired. This means there was approximately 1 hire for every 5 unique job pos ngs for So ware Developers, Applica ons. Occupa on Avg Monthly Pos ngs (Jan 2017 - Apr 2018) Avg Monthly Hires (Jan 2017 - Apr 2018) So ware Developers, Applica ons 8,888 1,619 Emsi Q2 2018 Data Set www.economicmodeling.com Page 6/10
Occupa on Gender Breakdown Gender 2017 Jobs 2017 Percent A Males 39,148 82.1% A Females 8,553 17.9% Occupa on Age Breakdown Age 2017 Jobs 2017 Percent A 14-18 12 0.0% A 19-24 1,980 4.2% A 25-34 16,628 34.9% A 35-44 16,399 34.4% A 45-54 9,145 19.2% A 55-64 3,094 6.5% A 65+ 442 0.9% Emsi Q2 2018 Data Set www.economicmodeling.com Page 7/10
Occupa on Race/Ethnicity Breakdown Race/Ethnicity 2017 Jobs 2017 Percent A White 22,426 47.0% A Asian 22,190 46.5% A Hispanic or La no 1,221 2.6% A Two or More Races 1,060 2.2% A Black or African American 644 1.3% A American Indian or Alaska Na ve 83 0.2% A Na ve Hawaiian or Other Pacific Islander 77 0.2% Na onal Educa onal A ainment Educa on Level 2017 Percent A Less than high school diploma 0.4% A High school diploma or equivalent 2.1% A Some college, no degree 8.2% A Associate's degree 4.8% A Bachelor's degree 50.3% A Master's degree 30.3% A Doctoral or professional degree 3.9% Emsi Q2 2018 Data Set www.economicmodeling.com Page 8/10
Occupa onal Programs 10 1,295 4,537 Programs (2016) Comple ons (2016) Openings (2016) CIP Code Program Comple ons (2016) 11.0701 Computer Science 422 11.0201 Computer Programming/Programmer, General 341 11.0103 Informa on Technology 165 11.0104 Informa cs 139 11.0202 Computer Programming, Specific Applica ons 93 Industries Employing So ware Developers, Applica ons Industry Occupa on Jobs in Industry (2017) % of Occupa on in Industry (2017) % of Total Jobs in Industry (2017) So ware Publishers 19,426 40.7% 32.9% Computer Systems Design Services 5,551 11.6% 23.9% Custom Computer Programming Services 4,140 8.7% 24.0% Internet Publishing and Broadcas ng and Web Search Portals 3,232 6.8% 21.6% Aircra Manufacturing 1,893 4.0% 2.7% Emsi Q2 2018 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. Emsi Job Pos ngs Job pos ngs are collected from various sources and processed/enriched to provide informa on such as standardized company name, occupa on, skills, and geography. 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; Washington State Employment Security Department, Labor Market and Economic Analysis Branch Emsi Q2 2018 Data Set www.economicmodeling.com Page 10/10