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Economic Modeling Specialists Intl.
The Impact of Poultry Processing in Fayetteville MSA
- November 2014 -
Impact of Poultry Processing in Fayetteville MSA
ECONOMICMODELING.COM
NIACS INDUSTRY CHANGE IN JOBS
Impacts
Changes to Poultry Processing (311615)
Scenario Results
$37,032,075Change in Earnings
1.32 Multiplier
1,385Change in Jobs 1.28 Multiplier
$26,747Average Earnings Per
Job (2012)
Impact of Poultry Processing in Fayetteville MSA
ECONOMICMODELING.COM
Impacts
Effect on Jobs from Adding 1,081 Jobs to Poultry Processing
Effect on Earnings from Adding 1,081 Jobs to Poultry Processing
Initial�
Direct�
Indirect�
Induced�
1,081Initial
1.00 Multiplier
173 Direct
0.16 Multiplier
25Indirect
0.02 Multiplier
105Induced
0.10 Multiplier
$28,150,029Initial
1.00 Multiplier
$4,835,197Direct
0.17 Multiplier
$758,629Indirect
0.03 Multiplier
$3,288,200Induced
0.12 Multiplier
Initial�
Direct�
Indirect�
Induced�
Impact of Poultry Processing in Fayetteville MSA
ECONOMICMODELING.COM
Industry Summary
Poultry Processing in Fayetteville MSA
Regional Trends
2,578Jobs (2014)
890% above national average
26.1%Change (2014-2019)
Nation: 2.4%
$48,978Avg. Earnings/Job (2014)
Nation: $36, 068
Impact of Poultry Processing in Fayetteville MSA
ECONOMICMODELING.COM
Industry Summary
Occupations Employed by this Industry
Industry Gender Breakdown Industry Age Breakdown
Male�
Female�
64.7%(1,669 jobs)
35.3%(910 jobs)
���������
14-18
19-24
25-34
35-44
45-54
55-64
65+
14-18, 0.3%
19-24, 12.6%
25-34, 30.9%
35-44, 21.7%
45-54, 19.6%
55-64, 11.5%
65+, 3.3%
Impact of Poultry Processing in Fayetteville MSA
ECONOMICMODELING.COM
Appendix A - Data Sources and Calculations
Input-Output DataThe input-output model in this report is EMSI’s gravitational flows multi-regional social account matrix
model (MR-SAM). It is based on data from the Census Bureau’s Current Population Survey and American
Community Survey; as well as the Bureau of Economic Analysis’ National Income and Product Accounts,
Input-Output Make and Use Tables, and Gross State Product data. In addition, several EMSI in-house data
sets are used, as well as data from Oak Ridge National Labs on the cost of transportation between counties.
State Data SourcesThis report uses state data from the following agencies: North Carolina Department of Commerce, Labor
and Economic Analysis Division
Industry DataEMSI 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.
Staffing Patterns DataThe 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.
Equifax Business-Level DataData for individual businesses is provided by Equifax (http://www.equifax.com/commercial/), which
maintains a database of more than 20 million U.S. business entities. Note that in aggregate it will not be
consistent with EMSI labor market data due to differences in definitions, methodology, coverage, and
industry/geographic classification.
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