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Employment up 12.6 percent over the year in Midland County, Texas, March 2018
August 24, 2018
From March 2017 to March 2018, employment increased in 314 of the 349 largest U.S. counties. Midland, Texas, had the largest percentage increase with a gain of 12.6 percent over the year, compared with the national job growth rate of 1.6 percent. Average weekly wages increased 5.7 percent over the year in Midland. Employment increased by 5.0 percent or more in Utah, Utah; Boone, Kentucky; Montgomery, Texas; and Calcasieu, Louisiana.
Over-the-year change in employment and wages in the 349 largest U.S. counties, first quarter 2018
County
Percent change in employment, March 2017– March 2018
Percent change in average weekly wage, First quarter 2017– First quarter 2018
Employment, March 2018
Average weekly wage, First quarter 2018
United States
1.6%
3.7%
144,562,900
$1,152
Ada, ID
4.5
5.1
239,900
943
Adams, CO
4.5
2.4
209,000
1,046
Alachua, FL
1.4
7.3
132,000
940
Alameda, CA
2.4
4.2
779,800
1,516
Albany, NY
-0.2
2.7
231,200
1,102
Alexandria City, VA
-1.2
2.4
91,500
1,499
Allegheny, PA
1.2
3.1
691,300
1,238
Allen, IN
1.1
3.8
185,100
929
Anchorage, AK
-0.1
2.5
146,300
1,120
Anne Arundel, MD
0.7
3.9
268,700
1,165
Anoka, MN
0.7
3.7
122,000
985
Arapahoe, CO
1.7
3.5
328,000
1,377
Arlington, VA
1.2
3.9
175,900
1,925
Atlantic, NJ
-0.2
2.3
119,800
907
Baltimore City, MD
2.5
1.8
343,100
1,277
Baltimore, MD
0.2
3.1
375,600
1,109
Barnstable, MA
0.2
2.2
86,400
926
Bay, FL
1.0
2.0
78,300
756
Bell, TX
0.8
0.7
118,400
876
Benton, AR
1.8
2.8
119,800
1,502
Benton, WA
3.6
1.9
87,800
1,060
Bergen, NJ
1.3
2.1
439,300
1,315
Berks, PA
1.2
4.2
171,800
976
Bernalillo, NM
0.3
2.1
326,000
916
Bexar, TX
1.2
2.5
860,600
1,009
Bibb, GA
1.0
2.4
82,800
855
Boone, KY
5.9
0.1
91,100
905
Boone, MO
0.2
0.5
93,600
829
Boulder, CO
2.3
2.5
181,200
1,312
Brazoria, TX
1.7
3.5
110,900
1,206
Brazos, TX
3.3
5.5
105,800
805
Brevard, FL
3.3
2.1
213,900
940
Bristol, MA
0.0
-1.5
222,600
954
Bronx, NY
1.7
2.7
316,800
1,040
Broome, NY
0.1
4.6
85,500
869
Broward, FL
1.3
4.9
808,900
1,047
Brown, WI
1.7
3.9
156,600
997
Bucks, PA
1.2
2.5
261,800
1,002
Buncombe, NC
2.2
2.5
131,100
815
Burlington, NJ
1.4
3.2
202,500
1,138
Butler, OH
1.5
1.3
153,200
1,005
Butler, PA
0.1
0.5
84,900
967
Butte, CA
1.7
3.6
83,300
800
Cabarrus, NC
2.2
2.1
75,700
793
Caddo, LA
-0.9
2.2
111,600
833
Calcasieu, LA
5.0
4.1
101,900
969
Camden, NJ
0.4
3.7
203,900
1,045
Cameron, TX
1.5
2.3
139,300
628
Cass, ND
0.7
3.1
116,000
970
Catawba, NC
0.5
1.8
87,800
841
Champaign, IL
0.3
2.5
89,600
912
Charleston, SC
2.5
3.4
249,300
981
Chatham, GA
3.5
3.1
156,300
932
Chesapeake City, VA
2.0
2.2
101,100
850
Chester, PA
1.3
4.2
247,700
1,479
Chesterfield, VA
1.9
3.1
136,200
942
Chittenden, VT
1.1
3.6
100,400
1,055
Clackamas, OR
1.1
4.0
163,700
1,008
Clark, NV
2.6
5.0
982,800
970
Clark, WA
4.5
4.8
159,800
1,011
Clay, MO
1.5
1.8
102,600
951
Clayton, GA
1.8
11.3
121,300
1,320
Cleveland, OK
2.1
2.2
81,100
759
Cobb, GA
2.0
1.7
361,300
1,218
Collier, FL
1.3
5.2
152,000
929
Collin, TX
3.6
3.4
409,900
1,374
Contra Costa, CA
1.2
3.6
369,100
1,396
Cook, IL
0.7
3.7
2,565,000
1,420
Cumberland, ME
4.0
3.9
183,900
1,055
Cumberland, NC
0.9
1.4
120,100
800
Cumberland, PA
0.4
3.5
132,700
997
Cuyahoga, OH
0.9
3.0
715,600
1,150
Dakota, MN
-0.2
2.4
185,500
1,100
Dallas, TX
1.6
3.4
1,684,900
1,426
Dane, WI
0.8
4.2
332,100
1,144
Dauphin, PA
1.9
2.5
180,500
1,085
Davidson, TN
2.7
6.2
488,400
1,228
Davis, UT
2.0
4.7
127,100
867
DeKalb, GA
0.8
2.4
298,700
1,169
Delaware, OH
1.9
2.7
86,200
1,205
Delaware, PA
1.2
4.3
222,500
1,272
Denton, TX
2.3
0.3
242,100
984
Denver, CO
2.9
4.1
511,000
1,458
Deschutes, OR
4.1
3.7
81,200
868
Douglas, CO
2.3
3.9
123,100
1,337
Douglas, NE
0.3
3.0
336,500
1,034
DuPage, IL
-0.1
2.7
612,000
1,309
Durham, NC
1.9
2.9
202,000
1,428
Dutchess, NY
0.9
2.4
111,900
1,036
Duval, FL
3.3
5.0
513,400
1,100
East Baton Rouge, LA
0.4
2.4
267,800
1,024
El Paso, CO
2.2
3.2
272,400
977
El Paso, TX
0.8
2.9
304,000
744
Elkhart, IN
4.7
3.8
137,500
1,006
Erie, NY
0.6
3.0
464,600
996
Erie, PA
0.0
3.1
120,200
825
Escambia, FL
1.4
3.4
134,800
879
Essex, MA
0.5
3.1
320,600
1,180
Essex, NJ
0.6
2.6
341,800
1,506
Fairfax, VA
1.4
3.0
603,900
1,802
Fairfield, CT
-0.3
0.4
414,500
1,959
Fayette, KY
0.1
2.5
191,400
925
Forsyth, NC
1.4
-4.8
185,400
1,052
Fort Bend, TX
4.3
3.2
185,300
1,050
Franklin, OH
1.6
3.0
744,300
1,148
Frederick, MD
1.4
-0.1
101,400
984
Fresno, CA
0.8
3.7
377,100
834
Fulton, GA
3.0
0.3
868,900
1,672
Galveston, TX
0.0
7.0
109,000
1,013
Genesee, MI
0.4
1.7
132,500
889
Gloucester, NJ
2.7
2.1
110,200
893
Greene, MO
1.2
1.2
165,800
813
Greenville, SC
2.5
2.7
271,600
936
Guilford, NC
0.9
2.5
281,100
953
Gwinnett, GA
2.2
0.4
353,200
1,054
Hall, GA
2.2
1.9
87,400
879
Hamilton, IN
2.3
3.8
139,800
1,134
Hamilton, OH
0.5
0.6
510,500
1,209
Hamilton, TN
2.0
2.4
203,500
963
Hampden, MA
0.7
1.8
206,100
982
Harford, MD
1.8
-1.4
92,800
989
Harris, TX
1.3
3.5
2,287,900
1,495
Harrison, MS
0.1
2.9
85,200
754
Hartford, CT
0.2
3.7
504,600
1,467
Hennepin, MN
1.0
1.7
919,200
1,497
Henrico, VA
1.3
1.5
189,900
1,113
Hidalgo, TX
1.9
2.7
261,300
657
Hillsborough, FL
1.6
4.0
686,900
1,105
Hillsborough, NH
0.4
8.6
201,900
1,242
Hinds, MS
-0.8
1.9
120,600
903
Honolulu, HI
-0.2
1.8
474,800
1,015
Horry, SC
2.8
0.5
126,600
631
Howard, MD
-0.2
2.6
168,300
1,348
Hudson, NJ
0.7
7.7
262,300
1,753
Ingham, MI
0.2
4.7
151,100
1,034
Jackson, MO
-0.3
1.7
366,200
1,087
Jackson, OR
3.3
2.3
88,500
791
Jefferson, AL
1.7
3.3
347,100
1,134
Jefferson, CO
2.2
2.6
235,400
1,155
Jefferson, KY
0.6
2.0
464,400
1,118
Jefferson, LA
-0.8
1.0
188,300
935
Jefferson, TX
-1.1
4.5
122,200
1,172
Johnson, IA
0.5
2.4
84,000
976
Johnson, KS
1.8
1.8
344,000
1,131
Kalamazoo, MI
0.8
1.7
119,100
1,046
Kanawha, WV
-1.4
1.7
98,200
934
Kane, IL
0.6
2.6
211,600
953
Kent, MI
2.2
2.3
403,400
950
Kent, RI
0.9
2.2
74,200
978
Kern, CA
0.6
2.9
303,000
914
King, WA
3.0
10.1
1,375,100
1,761
Kings, NY
4.7
2.0
756,700
920
Kitsap, WA
3.0
3.7
88,500
960
Knox, TN
0.9
4.4
237,300
982
Lackawanna, PA
1.2
4.1
97,200
808
Lafayette, LA
0.0
2.2
129,300
889
Lake, FL
1.8
4.2
98,600
712
Lake, IL
2.0
4.6
328,800
1,686
Lake, IN
0.7
2.1
185,900
920
Lake, OH
0.7
2.1
93,800
888
Lancaster, NE
1.3
3.7
169,500
877
Lancaster, PA
2.1
2.2
238,300
902
Lane, OR
1.2
3.4
155,400
827
Larimer, CO
3.1
4.4
158,400
1,026
Lee, FL
3.0
2.9
267,900
858
Lehigh, PA
2.0
0.7
188,900
1,073
Leon, FL
2.3
3.3
150,800
865
Lexington, SC
3.4
-2.2
118,800
803
Linn, IA
0.7
1.9
129,300
1,039
Lorain, OH
1.1
2.8
96,400
848
Los Angeles, CA
1.6
2.3
4,424,400
1,252
Loudoun, VA
2.6
3.1
165,400
1,289
Lubbock, TX
0.9
4.3
139,000
830
Lucas, OH
0.2
5.7
207,300
998
Luzerne, PA
1.3
1.6
143,600
837
Macomb, MI
2.2
2.6
329,100
1,141
Madison, AL
2.5
2.6
198,300
1,152
Madison, IL
2.6
1.3
100,600
837
Mahoning, OH
0.5
2.5
96,100
747
Manatee, FL
1.5
4.3
125,600
821
Maricopa, AZ
3.2
3.3
1,983,600
1,084
Marin, CA
1.2
7.1
114,700
1,415
Marion, FL
1.4
4.0
103,000
723
Marion, IN
0.5
5.0
591,900
1,218
Marion, OR
2.0
2.8
152,700
867
Maui + Kalawao, HI
0.8
4.4
78,100
882
McHenry, IL
0.7
2.0
95,700
861
McLean, IL
-0.3
-2.5
82,700
1,114
McLennan, TX
0.2
4.8
111,800
895
Mecklenburg, NC
2.0
3.5
688,200
1,518
Merced, CA
2.1
-1.1
78,100
796
Mercer, NJ
1.3
2.4
247,400
1,531
Merrimack, NH
1.1
4.2
77,200
1,002
Miami-Dade, FL
1.4
4.5
1,147,000
1,101
Middlesex, MA
1.7
4.2
908,800
1,795
Middlesex, NJ
1.0
2.9
424,100
1,363
Midland, TX
12.6
5.7
99,600
1,510
Milwaukee, WI
0.5
3.8
485,500
1,096
Minnehaha, SD
1.1
2.7
125,300
948
Mobile, AL
-0.2
3.2
169,700
901
Monmouth, NJ
1.4
4.8
255,600
1,120
Monroe, NY
0.8
3.2
384,000
1,002
Monterey, CA
3.4
3.0
178,400
926
Montgomery, AL
-0.9
0.7
130,900
870
Montgomery, MD
0.2
5.9
469,100
1,586
Montgomery, OH
1.2
2.4
253,600
920
Montgomery, PA
1.0
3.5
490,000
1,497
Montgomery, TX
5.6
5.5
185,000
1,150
Morris, NJ
1.2
1.5
289,700
1,808
Multnomah, OR
1.7
5.2
507,200
1,170
Muscogee, GA
1.2
8.7
94,900
963
Napa, CA
1.1
5.4
77,100
1,059
Nassau, NY
1.5
2.7
628,700
1,195
New Castle, DE
0.8
1.2
286,600
1,386
New Hanover, NC
1.5
2.2
113,100
874
New Haven, CT
0.3
2.3
362,000
1,100
New London, CT
-0.2
3.3
122,300
1,167
New York, NY
1.0
2.9
2,446,500
3,087
Newport News City, VA
4.1
-2.4
100,700
1,037
Norfolk City, VA
0.7
2.9
142,700
1,052
Norfolk, MA
0.8
1.3
349,800
1,288
Northampton, PA
0.4
1.7
113,400
932
Nueces, TX
-0.3
1.8
163,300
920
Oakland, MI
1.3
3.1
727,900
1,277
Ocean, NJ
3.2
1.7
164,000
862
Okaloosa, FL
2.1
1.3
85,100
855
Oklahoma, OK
2.1
4.0
452,000
1,064
Olmsted, MN
1.7
3.5
98,000
1,270
Oneida, NY
0.3
3.2
105,000
843
Onondaga, NY
0.8
3.0
241,600
1,002
Orange, CA
2.1
3.2
1,617,500
1,258
Orange, FL
3.5
4.1
846,800
982
Orange, NY
2.4
1.2
144,000
899
Orleans, LA
0.7
4.0
194,800
1,059
Osceola, FL
4.0
1.9
94,500
713
Ottawa, MI
1.6
4.8
124,700
935
Outagamie, WI
0.6
3.2
106,600
930
Palm Beach, FL
1.6
3.1
613,100
1,086
Pasco, FL
2.9
2.4
120,100
733
Passaic, NJ
0.4
2.2
165,100
1,043
Peoria, IL
2.8
23.8
105,400
1,440
Philadelphia, PA
1.5
3.4
677,200
1,322
Pierce, WA
2.4
3.7
306,900
979
Pima, AZ
0.9
4.1
368,400
921
Pinellas, FL
2.4
4.1
435,900
947
Pitt, NC
2.8
2.8
77,400
853
Placer, CA
3.4
2.0
166,000
1,081
Plymouth, MA
1.3
4.2
189,600
1,003
Polk, FL
1.2
1.4
219,600
824
Polk, IA
1.1
1.7
296,600
1,163
Potter, TX
0.3
3.8
77,700
847
Prince George's, MD
0.5
2.2
316,200
1,112
Prince William, VA
2.5
4.0
128,400
936
Providence, RI
0.8
3.1
284,000
1,145
Pulaski, AR
0.2
3.3
249,400
977
Queens, NY
1.9
1.8
693,700
1,071
Ramsey, MN
0.4
-1.0
328,100
1,346
Richland, SC
0.1
1.9
221,600
945
Richmond City, VA
0.7
4.4
155,100
1,308
Richmond, GA
1.9
-0.1
106,300
867
Richmond, NY
1.4
2.8
120,700
971
Riverside, CA
3.1
2.8
732,600
890
Rockingham, NH
0.8
3.8
145,900
1,085
Rockland, NY
2.4
2.2
124,100
1,064
Rutherford, TN
3.5
0.3
129,300
906
Sacramento, CA
2.3
2.4
655,700
1,174
Saginaw, MI
-1.3
5.3
82,100
901
Salt Lake, UT
2.5
4.1
692,100
1,081
San Bernardino, CA
3.1
3.0
744,500
902
San Diego, CA
2.1
3.9
1,452,700
1,218
San Francisco, CA
2.9
10.0
730,500
2,485
San Joaquin, CA
2.0
3.3
248,200
879
San Luis Obispo, CA
0.8
4.3
117,600
919
San Mateo, CA
1.7
6.9
399,300
2,606
Sangamon, IL
-0.2
4.4
128,900
1,069
Santa Barbara, CA
1.7
0.2
195,800
1,019
Santa Clara, CA
2.2
9.1
1,085,400
2,651
Santa Cruz, CA
1.0
3.9
101,200
992
Sarasota, FL
1.8
7.7
173,000
924
Saratoga, NY
2.9
3.3
86,700
992
Scott, IA
-0.2
2.5
89,400
876
Sedgwick, KS
0.3
2.4
247,800
967
Seminole, FL
3.6
4.3
193,800
940
Shawnee, KS
-0.5
2.3
96,300
903
Shelby, AL
1.2
4.0
84,800
1,101
Shelby, TN
1.1
1.6
492,500
1,074
Smith, TX
1.0
3.8
102,400
856
Snohomish, WA
0.7
8.6
284,600
1,278
Solano, CA
2.0
6.0
139,500
1,194
Somerset, NJ
0.7
2.5
184,700
2,078
Sonoma, CA
1.6
5.2
206,900
1,030
Spartanburg, SC
3.7
4.6
141,100
927
Spokane, WA
2.5
3.3
220,800
934
St Charles, MO
0.7
5.2
146,500
959
St Clair, IL
-0.7
0.9
93,000
809
St Joseph, IN
-0.1
3.8
122,300
857
St Louis City, MO
1.4
3.9
227,800
1,249
St Louis, MN
0.2
4.7
96,400
870
St Louis, MO
0.7
4.9
600,900
1,202
St Tammany, LA
1.1
2.9
87,300
901
Stanislaus, CA
2.4
2.7
186,900
905
Stark, OH
1.5
4.6
158,700
816
Stearns, MN
-0.1
1.6
85,300
932
Suffolk, MA
1.8
12.1
669,000
2,268
Suffolk, NY
-0.1
1.2
645,100
1,143
Summit, OH
0.4
1.0
262,800
981
Sussex, DE
3.6
3.8
77,000
788
Tarrant, TX
2.1
4.4
887,600
1,108
Thurston, WA
3.0
4.7
115,700
981
Tippecanoe, IN
1.2
6.6
83,900
964
Travis, TX
2.7
4.0
738,600
1,307
Tulare, CA
-0.7
2.8
154,900
771
Tulsa, OK
1.5
2.5
355,000
1,010
Tuscaloosa, AL
1.4
5.1
93,600
878
Union, NJ
2.1
0.4
225,300
1,400
Utah, UT
6.0
9.7
239,900
930
Vanderburgh, IN
1.9
2.3
108,400
888
Ventura, CA
0.7
-0.9
326,000
1,100
Virginia Beach City, VA
-0.2
3.4
175,600
823
Volusia, FL
1.2
2.6
174,400
762
Wake, NC
3.0
3.7
552,200
1,151
Warren, OH
1.0
3.5
91,700
1,035
Washington, AR
2.9
-3.1
107,700
852
Washington, DC
1.2
1.9
770,200
1,917
Washington, MN
2.1
2.6
84,600
954
Washington, OR
2.5
4.7
293,600
1,419
Washington, PA
1.6
3.3
86,000
1,228
Washoe, NV
2.3
5.2
218,200
956
Washtenaw, MI
1.6
2.3
213,500
1,132
Waukesha, WI
0.4
6.5
239,900
1,142
Wayne, MI
0.7
3.8
716,500
1,268
Webb, TX
1.1
2.4
100,900
690
Weber, UT
3.5
3.1
106,100
808
Weld, CO
4.7
6.0
108,200
1,040
Westchester, NY
0.9
3.3
424,600
1,526
Westmoreland, PA
0.5
4.5
131,900
880
Whatcom, WA
2.3
4.8
90,300
923
Will, IL
1.0
2.5
239,100
911
Williamson, TN
4.2
2.1
132,700
1,280
Williamson, TX
3.8
3.4
169,700
1,171
Winnebago, IL
0.4
2.3
125,500
942
Winnebago, WI
0.8
-0.7
93,200
1,006
Worcester, MA
0.7
1.3
345,400
1,094
Wyandotte, KS
1.1
2.1
88,200
1,025
Yakima, WA
4.0
4.6
111,900
758
Yellowstone, MT
-0.1
1.4
80,200
912
Yolo, CA
1.9
2.9
101,900
1,189
York, PA
0.9
3.3
178,000
936
York, SC
3.0
3.4
94,300
935
Kanawha, West Virginia, had the largest over-the-year percentage decrease in employment among the largest counties in the United States, with a loss of 1.4 percent. Average weekly wages increased 1.7 percent in Kanawha. Employment decreased by 1.1 percent or more in Saginaw, Michigan; Alexandria City, Virginia; and Jefferson, Texas.
The U.S. average weekly wage increased 3.7 percent over the year, growing to $1,152 in the first quarter of 2018. Peoria, Illinois, had the largest over-the-year percentage increase in average weekly wages, with a gain of 23.8 percent. Employment in Peoria increased 2.8 percent. Average weekly wages increased 10.0 percent or more in Suffolk, Massachusetts; Clayton, Georgia; King, Washington; and San Francisco, California.
Forsyth, North Carolina, had the largest over-the-year percentage decrease in average weekly wages with a loss of 4.8 percent. Washington, Arkansas; McLean, Illinois; Newport News City, Virginia; and Lexington, South Carolina had decreases in average weekly wages of 2.2 percent or more.
All of the 10 largest counties had over-the-year percentage increases in employment in March 2018. Maricopa, Arizona, had the largest gain, 3.2 percent. Cook, Illinois, had the smallest percentage increase in employment among the 10 largest counties, 0.7 percent.
Average weekly wages increased over the year in all of the 10 largest U.S. counties. King, Washington, experienced the largest percentage gain in average weekly wages, 10.1 percent. Los Angeles, California, had the smallest percentage gain in average weekly wages among the 10 largest counties, 2.3 percent.
United States Department of Labor
