6. Industrial Production
January 2001 through May 2014
Source: Federal Reserve
The industrial production index measures the real output of the
manufacturing, mining, and electric and gas utilities industries.
80
85
90
95
100
105
Jan-01
May-01
Sep-01
Jan-02
May-02
Sep-02
Jan-03
May-03
Sep-03
Jan-04
May-04
Sep-04
Jan-05
May-05
Sep-05
Jan-06
May-06
Sep-06
Jan-07
May-07
Sep-07
Jan-08
May-08
Sep-08
Jan-09
May-09
Sep-09
Jan-10
May-10
Sep-10
Jan-11
May-11
Sep-11
Jan-12
May-12
Sep-12
Jan-13
May-13
Sep-13
Jan-14
May-14
Index(2007=100)
(Base year: 2007)
7. National Nonfarm Employment
by Industry Sector
May 2013 v. May 2014
-31
17
45
46
47
105
188
363
391
573
635
-200 0 200 400 600 800
Information
Government
Mining and Logging
Other Services
Financial Activities
Manufacturing
Construction
Education and Health Services
Leisure and Hospitality
Trade, Transportation, and Utilities
Professional and Business Services
Thousands, SA
All told 2,379K Jobs gained
Source: Bureau of Labor Statistics
9. Maryland Nonfarm Employment
by Industry Sector Groups (SA)
May 2013 v. May 2014
Absolute Change
-3,700
-3,400
-2,200
-100
3,800
3,800
3,900
4,900
6,000
9,100
-10,000 -5,000 0 5,000 10,000
Manufacturing
Information
Trade, Transportation, and Utilities
Other Services
Financial Activities
Government
Professional and Business Services
Mining, Logging, and Construction
Education and Health Services
Leisure and Hospitality
MD Total:
+22.1K; +0.9%
US Total (SA):
+2,379K; +1.7%
*According to the Local Area Unemployment Statistics (LAUS)
series MD gained 14,702 jobs between May 2013 and May 2014.
Source: Bureau of Labor Statistics
10. -1,900
-1,400
-1,000
-700
200
1,600
4,600
4,700
5,900
7,600
-8,000 -3,000 2,000 7,000
Government
Manufacturing
Information
Other Services
Financial Activities
Trade, Transportation, and Utilities
Leisure and Hospitality
Education and Health Services
Mining, Logging, and Construction
Professional and Business Services
Baltimore-Towson MSA Nonfarm Employment
by Industry Sector Groups (NSA)
May 2013 v. May 2014
Absolute Change
Baltimore MSA Total:
+19.6K; +1.5%
MD Total (SA):
+22.1K; +0.9%
US Total (SA):
+2,379K; +1.7%
Source: Bureau of Labor Statistics
11. Washington, DC-Arlington-Alexandria MSA Nonfarm Employment
by Industry Sector Groups (NSA)
May 2013 v. May 2014
Absolute Change
-4,000
-3,800
-2,600
-2,600
-2,500
200
3,700
4,200
5,700
7,700
-10,000 -5,000 0 5,000 10,000
Professional and Business Services
Government
Manufacturing
Information
Mining, Logging, and Construction
Other Services
Financial Activities
Education and Health Services
Trade, Transportation, and Utilities
Leisure and Hospitality
DC MSA Total:
+6.0K; +0.2%
US Total (SA):
+2,379K; +1.7%
Source: Bureau of Labor Statistics
13. Source: Bureau of Labor Statistics
Growth in Manufacturing Jobs, Best and Worst States
May 2013 to May 2014
Best Worst
State Jobs State Jobs
Indiana +13,700 Illinois -11,400
Texas +13,000 New York -8,900
Ohio +11,700 California -7,700
Minnesota +9,800 Pennsylvania -4,900
Wisconsin +9,100 Maryland -3,700
14. Source: Bureau of Labor Statistics
Manufacturing Employment as a % of Total US Manufacturing Employment
May 2014
Rank State Share Rank State Share
1 California 10.6% 41 Nevada 0.4%
2 Texas 7.6% 42 Rhode Island 0.3%
3 Ohio 5.8% 43 Vermont 0.3%
4 Illinois 4.9% 44 New Mexico 0.2%
5 Michigan 4.8% 45 Delaware 0.2%
6 Pennsylvania 4.8% 46 North Dakota 0.2%
7 Indiana 4.3% 47 Montana 0.2%
8 Wisconsin 4.0% 48 Alaska 0.1%
9 New York 3.8% 49 Hawaii 0.1%
10 North Carolina 3.8% 50 Wyoming 0.1%
Maryland
Rank: 32 Share: 0.9%
15. U.S. Year-over-year Percent Change: 1.7%
Employment Growth, U.S. States (SA)
May 2013 v. May 2014 Percent Change
RANK STATE % RANK STATE % RANK STATE %
1 NORTH DAKOTA 4.6 17 OKLAHOMA 1.7 34 MONTANA 1.0
2 NEVADA 3.9 17 WISCONSIN 1.7 34 WYOMING 1.0
3 TEXAS 3.4 20 MINNESOTA 1.6 37 KENTUCKY 0.9
4 WEST VIRGINIA 3.1 20 RHODE ISLAND 1.6 37 MARYLAND 0.9
5 COLORADO 3.0 22 MAINE 1.5 37 NEBRASKA 0.9
5 OREGON 3.0 22 MASSACHUSETTS 1.5 37 OHIO 0.9
5 UTAH 3.0 22 MISSOURI 1.5 41 CONNECTICUT 0.8
8 FLORIDA 2.9 25 MISSISSIPPI 1.4 42 ALABAMA 0.7
9 CALIFORNIA 2.3 26 ALASKA 1.3 42 IDAHO 0.7
9 DELAWARE 2.3 27 ARIZONA 1.2 42 VERMONT 0.7
11 GEORGIA 2.1 27 ARKANSAS 1.2 45 DISTRICT OF COLUMBIA 0.6
11 TENNESSEE 2.1 27 HAWAII 1.2 45 MICHIGAN 0.6
11 WASHINGTON 2.1 27 NEW HAMPSHIRE 1.2 47 SOUTH DAKOTA 0.5
14 SOUTH CAROLINA 2.0 31 KANSAS 1.1 48 ILLINOIS 0.3
15 NORTH CAROLINA 1.9 31 NEW YORK 1.1 49 VIRGINIA 0.1
16 INDIANA 1.8 31 PENNSYLVANIA 1.1 50 NEW JERSEY 0.0
17 IOWA 1.7 34 LOUISIANA 1.0 51 NEW MEXICO -0.1
Source: Bureau of Labor Statistics
16. MD County Unemployment Rates
April 2014
Rank Jurisdiction UR Rank Jurisdiction UR
1 Howard County 3.9 12 Prince George's County 5.6
2 Montgomery County 4.1 14 Kent County 6.0
3 Carroll County 4.5 15 Garrett County 6.1
3 Frederick County 4.5 16 Allegany County 6.3
5 Calvert County 4.7 16 Caroline County 6.3
6 Anne Arundel County 4.8 16 Cecil County 6.3
6 Queen Anne's County 4.8 19 Washington County 6.4
6 St. Mary's County 4.8 20 Wicomico County 7.1
9 Charles County 5.1 21 Baltimore City 7.8
10 Harford County 5.3 22 Somerset County 7.9
11 Talbot County 5.5 23 Dorchester County 8.2
12 Baltimore County 5.6 24 Worcester County 10.9
Source: Bureau of Labor Statistics
17. Source: Bureau of Labor Statistics
Median Weekly Earnings, Full-Time U.S. Workers*
2000Q1 through 2014Q1
*SA, Constant 1982-1984 dollars (adjusted to CPI-U)
Wage and salary workers ages 16+
$320
$325
$330
$335
$340
$345
$350
2000Q1
2000Q3
2001Q1
2001Q3
2002Q1
2002Q3
2003Q1
2003Q3
2004Q1
2004Q3
2005Q1
2005Q3
2006Q1
2006Q3
2007Q1
2007Q3
2008Q1
2008Q3
2009Q1
2009Q3
2010Q1
2010Q3
2011Q1
2011Q3
2012Q1
2012Q3
2013Q1
2013Q3
2014Q1
18. Source: Bureau of Labor Statistics
Average Hourly Earnings: Manufacturing v. All Workers*
May 2006 through May 2014
*SA, average hourly earnings of private employees
$19.0
$20.0
$21.0
$22.0
$23.0
$24.0
$25.0
$26.0
May-06
Sep-06
Jan-07
May-07
Sep-07
Jan-08
May-08
Sep-08
Jan-09
May-09
Sep-09
Jan-10
May-10
Sep-10
Jan-11
May-11
Sep-11
Jan-12
May-12
Sep-12
Jan-13
May-13
Sep-13
Jan-14
May-14
All industries Manufacturing
19. Source: Bureau of Labor Statistics
Average Weekly Earnings: Manufacturing v. All Workers*
May 2006 through May 2014
*SA, average weekly earnings of private employees
$600
$650
$700
$750
$800
$850
$900
$950
$1,000
$1,050
May-06
Sep-06
Jan-07
May-07
Sep-07
Jan-08
May-08
Sep-08
Jan-09
May-09
Sep-09
Jan-10
May-10
Sep-10
Jan-11
May-11
Sep-11
Jan-12
May-12
Sep-12
Jan-13
May-13
Sep-13
Jan-14
May-14
All industries Manufacturing
20. Bachelors Degrees by Race & Citizenship 2012
Science1 & Engineering v. Social Sciences & Other2
Source: National Science Foundation
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
U.S. Citizen &
Permanent
Resident
Temporary
Resident
White Asian or
Pacific
Islander*
Black Hispanic American
Indian or
Alaska Native
Other or
Unknown
Race or
Ethnicity
Science & Engineering Social Sciences & Other
Note: All race categories are U.S. Citizens and Permanent Residents; 1Science refers to Bachelors Degrees in: Agricultural,
Biological, Physical & Computer Sciences, Earth, Atmospheric & Ocean Sciences, Mathematics and Statistics. 2Social
Sciences & Other includes all Social Sciences, Psychology and other. *Asian or
Pacific Islander - Asian and Native Hawaiian or Other Pacific Islander.
%ofdegrees
21. Source: The Manufacturing Institute (based on data from the U.S. Bureau of Labor Statistics, U.S. Census Bureau, and MAPI)
Manufacturing Workforce by Education Level
2000 v. 2012
0
5
10
15
20
25
30
35
40
45
Less Than High
School
High School But
No College
Some College B.A. Degree Graduate and
Professional
Degree
PercentofTotalManufacturingEmployment
2000 2012
22. Source: Hugh Jack et al. “Curricula 2015: A Four Year Strategic Plan for Manufacturing Education,” June 2011.
The Manufacturing Career Pipeline
23. Source: Manufacturing Institute
The Manufacturing Institute: M-List
*Maryland: Community College of Baltimore County
State
# of M-List
Institutions
State
# of M-List
Institutions
Florida 14 Michigan 2
California 7 Nevada 2
North Carolina 7 Texas 2
Oklahoma 6 Washington 2
Illinois 5 Arizona 1
Minnesota 5 Indiana 1
Pennsylvania 5 Maryland* 1
Kansas 4 Massachusetts 1
Ohio 3 Missouri 1
Arkansas 2 South Carolina 1
Iowa 2 Virginia 1
Kentucky 2 Wisconsin 1
Total 78
The M-List recognizes high schools, community colleges, technical schools, and universities that
are teaching manufacturing students to industry standards. Specifically, these schools offer students
the opportunity to earn NAM-Endorsed Manufacturing Skills Certifications as a standard part of
their manufacturing education programs.
24. Source: Hugh Jack et al. “Curricula 2015: A Four Year Strategic Plan for Manufacturing Education,” June 2011.
Growth in Accredited Manufacturing Programs
1980-2010
MfgE MfgET Total
1980 3 21 24
1985 4 30 34
1990 10 41 51
1995 16 50 66
1996 N/A N/A N/A
1997 N/A N/A N/A
1998 N/A N/A N/A
1999 N/A N/A N/A
2000 22 49 71
2001 23 49 (peak) 72
2002 25 48 73 (peak)
2003 26 42 68
2004 26 43 69
2005 27 (peak) 43 70
2006 25 35 60
2007 22 35 57
2010 23 34 57
25. Swimming Upstream, but It’s Worth It
• Economy needs more good jobs;
• Human capital shortages have
clearly impacted the ability of the
US manufacturing sector to
recover;
• Students appear to be focused on
other things and program
accessibility has actually been
dwindling in many instances;
• Maryland’s trends are worse –
still losing jobs and relying on
other states to train workers;
• Is right-to-work an issue;
• Can we leverage the Port of
Baltimore politically or
otherwise?;
• Should the focus be on two-
year versus four-year
institutions or elsewhere
altogether?; and
• How would one begin to forge a
strategy designed to re-
industrialize Maryland?
26. Thank You
Follow us on Twitter @SagePolicyGroup
You can always reach me at
abasu@sagepolicy.com
Please look for updates of information at
www.sagepolicy.com.
Also, if you need us in a hurry, we are at
410.522.7243 (410.522.SAGE)
Please contact us when you require
economic research & policy analysis.
27. Source: 1. Hugh Jack et al. “Curricula 2015: A Four Year Strategic Plan for Manufacturing Education,” June 2011.
2. The Society of Manufacturing Engineers (SME), “Workforce Imperative: A Manufacturing Education Strategy,” 2012.
Four Pillars of Manufacturing Knowledge
Editor's Notes
1989
January 2014 WEO Update
http://www.imf.org/external/pubs/ft/weo/2014/update/01/index.htm
May news release: http://www.bls.gov/news.release/empsit.nr0.htm
US Total Nonfarm (SA): CES0000000001
U.S. Unemployment Rate LNS14000000
Series ID are in excel linked to chart
MD Total Nonfarm: SMS24000000000000001
US Total Nonfarm (SA): CES0000000001
MD LAUS (SA): LASST240000000000005
Series ID are in excel linked to chart
Baltimore MSA Total Nonfarm: SMU24125800000000001
US Total Nonfarm (SA): CES0000000001
Series ID are in excel linked to chart
DC MSA Total Nonfarm: SMU11479000000000001
US Total Nonfarm (SA): CES0000000001
May news release: http://www.bls.gov/news.release/empsit.nr0.htm
US Total Nonfarm (SA): CES0000000001
U.S. Unemployment Rate LNS14000000
May news release: http://www.bls.gov/news.release/empsit.nr0.htm
US Total Nonfarm (SA): CES0000000001
U.S. Unemployment Rate LNS14000000
Source: http://www.nsf.gov/statistics/wmpd/2013/race.cfm
NOTES: Race/ethnicity breakouts are for U.S. citizens and permanent residents only. Temporary resident includes all racial/ethnic groups. Data based on degree-granting institutions eligible to participate in Title IV federal financial aid programs and do not match previously published data that were based on accredited higher education institutions.
*Other unknown category - Before 2008, survey did not collect information on two or more races; during this period, category includes only race/ethnicity unknown. Beginning in 2008, survey allowed institutions to report race/ethnicity as two or more races; during this period, category includes two or more races and race/ethnicity unknown. Data on students of two or more races are based on data from institutions that used optional new race/ethnicity categories and are not representative of all students who could be classified into two or more races.
The M-List recognizes high schools, community colleges, technical schools, and universities that are teaching manufacturing students to industry standards. Specifically, these schools offer students the opportunity to earn NAM-Endorsed Manufacturing Skills Certifications as a standard part of their manufacturing education programs.
http://www.themanufacturinginstitute.org/Skills-Certification/M-List/M-List.aspx
Manufacturing was a part of many technical programs, but manufacturing named programs are relatively young. Table 3 has been assembled from a variety of references [2]. It is worth noting that there was substantial growth in the number of programs, peaking in the 1990s, and now in decline. These changes have been tied to factors such as eco- nomic changes, changes in education funding, and changes in image [65]. Regardless of the cause, programs close primarily because they lose or lack student enrollment. Other contributing factors include financial restrictions, changes in priorities, and lack of interest in the programs. These numbers DO NOT reflect a lack of industry interest in the grad- uates from these programs.
