Taft College
29 Emmons Park Drive
Taft, California 93268
661.763.7700
EMSI Q2 2015 Data Set | www.economicmodeling.com
1

Code Description
23-2091 Court Reporters
31-9094
Medical Transcriptionists
Code Description
6029 Kern County, CA
2016 - 2017
2015.2 – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Court Reporting in Kern County, CA
EMSI Q2 2015 Data Set | www.economicmodeling.com
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229
Jobs (2015)
40% below National average
1.7%
% Change (2016-2017)
Nation: 1.1%
$17.89/hr
Median Hourly Earnings
Nation: $18.01/hr
EMSI Q2 2015 Data Set | www.economicmodeling.com
4

234
2016 Jobs
238
2017 Jobs
4 1.7%
Change (2016-2017) % Change (2016-2017)
Occupation
Court Reporters (23-2091)
Medical Transcriptionists
(31-9094)
2016 Jobs
81
153
2017 Jobs
81
157
Change
0
4
% Change
0%
3%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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$14.57/hr
25th Percentile Earnings
$17.89/hr
Median Earnings
$19.99/hr
75th Percentile Earnings
Occupation
Court Reporters (23-2091)
Medical Transcriptionists (31-
9094)
25th Percentile
Earnings
$21.18
$10.89
Median Earnings
$23.62
$14.69
75th Percentile
Earnings
$25.73
$16.81
EMSI Q2 2015 Data Set | www.economicmodeling.com
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●
●
●
●
Region
Region
Kern County
Tulare County, CA
California
2016 Jobs 2017 Jobs
234
234
142
20,015
238
238
147
20,322
Change % Change
5
307
4
4
1.7%
1.7%
3.5%
1.5%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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* Highlighted areas show counties that contain the selected zip codes
ZIP
Bakersfield, CA 93301 (in Kern county)
Mojave, CA 93501 (in Kern county)
Bakersfield, CA 93308 (in Kern county)
Bakersfield, CA 93309 (in Kern county)
Edison, CA 93220 (in Kern county)
2017 Jobs
73
46
23
13
11
EMSI Q2 2015 Data Set | www.economicmodeling.com
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●
●
Gender
Males
Females
2015 Jobs 2015 Percent
22
207
9.7%
90.3%
EMSI Q2 2015 Data Set | www.economicmodeling.com
9

●
●
●
●
●
●
●
Age
14-18
19-24
25-34
35-44
45-54
55-64
65+
2015 Jobs 2015 Percent
0
6
30
62
68
46
17
0.1%
2.7%
13.1%
26.9%
29.6%
20.1%
7.5%
EMSI Q2 2015 Data Set | www.economicmodeling.com
10

●
●
●
●
●
●
●
Race/Ethnicity
White
Hispanic or Latino
Asian
Black or African American
Two or More Races
American Indian or Alaska Native
Native Hawaiian or Other Pacific Islander
2015 Jobs 2015 Percent
174
31
14
6
2
1
1
76.0%
13.6%
6.2%
2.8%
0.8%
0.3%
0.2%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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2
Programs (2014)
CIP Code Program
51.0000
22.0303
37
Completions (2014)
Health Services/Allied Health/Health Sciences,
General
Court Reporting/Court Reporter
9
Openings (2014)
Completions (2014)
36
1
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Industry
Document Preparation Services
All Other Business Support Services
Court Reporting and Stenotype Services
Offices of Physicians (except Mental Health Specialists)
General Medical and Surgical Hospitals
Occupation
Group Jobs in Industry
(2015)
% of
Occupation
Group in
Industry
(2015)
63
44
22
22
16
27.4%
19.0%
9.6%
9.5%
6.8%
% of Total
Jobs in
Industry
(2015)
24.8%
20.9%
21.6%
0.4%
0.2%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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EMSI occupation employment data are based on final EMSI industry data and final EMSI staffing patterns. Wage estimates are based on Occupational Employment Statistics (QCEW and Non-QCEW Employees classes of worker) and the American Community Survey (Self-Employed and Extended Proprietors). Occupational wage estimates also affected by county-level EMSI earnings by industry.
Location quotient (LQ) is a way of quantifying how concentrated a particular industry, cluster, occupation, or demographic group is in a region as compared to the nation. It can reveal what makes a particular region unique in comparison to the national average.
The institution data in this report is taken directly from the national IPEDS database published by the U.S.
Department of Education's National Center for Education Statistics.
The completers data in this report is taken directly from the national IPEDS database published by the U.S.
Department of Education's National Center for Education Statistics.
The staffing pattern data in this report are compiled from several sources using a specialized process. For
QCEW and Non-QCEW Employees classes of worker, sources include Occupational Employment Statistics, the
National Industry-Occupation Employment Matrix, and the American Community Survey. For the Self-Employed and Extended Proprietors classes of worker, the primary source is the American Community Survey, with a small amount of information from Occupational Employment Statistics.
EMSI industry data have various sources depending on the class of worker. (1) For QCEW Employees, EMSI primarily uses the QCEW (Quarterly Census of Employment and Wages), with supplemental estimates from
County Business Patterns and Current Employment Statistics. (2) Non-QCEW employees data are based on a number of sources including QCEW, Current Employment Statistics, County Business Patterns, BEA State and
Local Personal Income reports, the National Industry-Occupation Employment Matrix (NIOEM), the American
Community Survey, and Railroad Retirement Board statistics. (3) Self-Employed and Extended Proprietor classes of worker data are primarily based on the American Community Survey, Nonemployer Statistics, and
BEA State and Local Personal Income Reports. Projections for QCEW and Non-QCEW Employees are informed by NIOEM and long-term industry projections published by individual states.
EMSI Q2 2015 Data Set | www.economicmodeling.com
14

This report uses state data from the following agencies: California Labor Market Information Department
EMSI Q2 2015 Data Set | www.economicmodeling.com
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