Best Cities 2016

Welcome To Y'all Street: The Cities Challenging New York For Financial Supremacy

Joel Kotkin and Michael Shires — Wed, 17 Aug 2016 01:38:19 -0400

From the earliest days of the Republic, banking and finance has largely been the purview of what one historian calls the “Yankee Empire.” Based largely in New York and Boston, later on financial centers grew along the main route of Yankee migration to Chicago and San Francisco.

Yet, if you look at where financial jobs are now headed, perhaps it’s time, as the Dallas Morning News cheekily suggested recently, to substitute Y’all Street for Wall Street. Finance, increasingly conducted electronically, is no longer tethered to its traditional centers. Large global financial companies like UBS, Deutsche Bank , Morgan Stanley and Goldman Sachs are all committed to relocating operations to less expensive locations.

In the U.S., this has benefited the South the most. This year’s list of the metro areas that are increasing employment in financial services at the fastest rate is led by first-place Nashville-Davidson-Murfreesboro-Franklin, Tenn., No. 2 Dallas-Plano-Irving, Texas, No. 4 Austin-Round Rock, Texas, and No. 5 Charlotte-Concord-Gastonia N.C.-S.C.

Financial service employment is important, particularly since the recovery from the 2008 financial meltdown. The industry is second in the U.S. only to the professional and business services sector in terms of the number of people it employs in high-paying jobs (average salary: $62,860), and its recent growth has been spread across the country. Of the 70 large metro areas we studied, only three have lost financial jobs since 2010.

Methodology

To generate our ranking, we looked at employment growth in the 366 metropolitan statistical areas for which BLS has complete data going back to 2005, weighting growth over the short-, medium- and long-term in that span, and factoring in momentum — whether growth is slowing or accelerating. (For a detailed description of our methodology, click here.)

The South Rises Again

The shift to the South seems to be based on several factors: lower costs (including for housing), less regulation and expanding markets, driven by rapid population growth. As population has shifted to the South, most notably low-tax states like Tennessee and Texas, it has clearly increased local demand for financial services. But there’s also another factor: the migration of financial jobs from traditional centers such as New York, Chicago and Los Angeles.

Our top emerging financial superstar, Nashville, has all these characteristics.

Since 2010, the area’s financial workforce has expanded 24.5 percent to 60,900. Population growth and in-migration rates have been spectacular.

Between 2010 and 2014, in-migration accounted for 65.4 percent of local population growth, the fifth highest proportion among the nation’s top 25 metro areas that added more than 100,000 people, while the overall population soared 10 percent. Since the recession ended in 2009, employment has grown 21 percent while per capita income has risen 4 percent. Financial sector growth has come from firms with U.S. headquarters in the New York area, such as Switzerland-based UBS, as well as from locally based financial firms, like the investment bank Avondale Partners.

But the biggest raw job gains, as we also found in professional and business services, are in No. 2 Dallas-Plano-Irving, where financial employment has expanded 23.2 percent since 2010 to 226,100 jobs, making the metro area the third-biggest financial services hub in the nation behind New York and Chicago. If the adjacent Ft. Worth area is added in, the region boasts a total of 282,000 financial job, behind only New York. Unlike Houston, slowed by the oil industry downturn, Dallas is on a super-sized roll.

The Big D’s drive to become “y’all street” also stems from the recipe of large-scale population growth, low taxes, affordable housing and business friendliness. Large corporate relocations, such as Toyota from California, creates new demand both from business and consumers.

To be sure, a New Yorker could scoff at the idea of Dallas replacing Manhattan as a financial center as something akin to the old Texas insult: all hat and no cattle. Yet it might behoove uppity Gothamites to pay more attention to the big Texas metroplex. The area’s dispersed financial institutions may not look like those associated with Manhattan, but they are growing more quickly, and in a place where middle managers can thrive on modest salaries. Then there’s the advantages of its central location, one of the things that led Comerica to move its headquarters to Dallas in 2007. More recently, State Farm and Liberty Mutual have opened large operations in the northern suburbs.

But it’s not just Texas and Tennessee that are dominating the dispersion of financial services jobs. Before the recession, No. 5 Charlotte, N.C., had risen to become the second-largest financial center in the country, home to Bank of America and Wachovia. Wachovia fell hard in the financial crisis, and was swallowed by Wells Fargo, but BofA soldiers on, and the area clearly has recovered from the recession doldrums. Since 2010, the metro area’s financial workforce has grown 14.2 percent to 86,100 jobs, with 5 percent growth last year alone.

The Rise Of The Mormon Belt?

Outside the south, the other big growth area for financial services lies in the Intermountain West, the vast region between California’s Sierras and the Rockies. Two metro areas stand out in terms of financial growth: No. 3 Salt Lake City area and No. 6 Phoenix. Like the Texas cities, these metro areas offer middle managers a huge housing advantage; home prices, adjusted for incomes, are roughly half those in New York, Los Angeles and San Francisco.

Salt Lake City’s financial services job count has grown 19.9 percent since 2010 to 55,200 jobs, with 6.2 percent growth last year alone. The Utah capital has gained particular renown as Goldman Sachs’fourth-largest global hub, and is slated to keep growing. Particularly attractive for Goldman is the language skills of returning Mormon missionaries.

Rapid financial growth is now common across the “Mormon belt” that stretches from Arizona to Idaho. Among mid-sized metro areas (those with less than 450,000 nonfarm jobs), Boise ranks second for financial services job growth, followed byProvo-Orem, Utah, and No. 5 Clearfield-Ogden. With young and well-educated workforce, and relatively low (particularly compared to California) housing prices, these areas are creating a whole new archipelago of financial centers.

At the southern end of the Mormon belt sits Phoenix. Like the southern financial boom towns, the Valley of the Sun is booming both demographically and in terms of jobs; financial positions are up 19.7 percent since 2010.

Much of this follows the movement of people from other parts of the country, notably California and the Midwest. Financial companies, too, are migrating south such as Chicago-based Northern Trust, which moved 1,000 jobs last year to Tempe, a close in Phoenix suburb. Growth in financial services has helped bring some life back to the long torpid office market, attracting new investors.

The Big Boys

Despite the growth in the top cities on our list, the central position of New York remains unassailable. After hard times amid the financial crisis, employment has risen a modest 6.3 percent since 2010 to 461,500, over 200,000 more than second-place Chicago, and salaries are on the rise again.

What has changed is where the challenges may come from. Its onetime main rivals, 56th place Chicago-Naperville- Arlington Heights and Los Angeles (57th) are not even keeping pace, and seem destined to fall even further behind. Similarly, other likely financial rivals, like No. 21 San Francisco-Redwood City-South San Francisco, No. 39 Boston-Cambridge-Newton or No. 49 Seattle-Bellevue-Everett aren’t growing fast enough to mount a major challenge.

If New York’s supremacy is to be challenged, it will instead likely be from the lower-cost places that dominate our list in the South and Intermountain West. With the exception of Dallas, no single one of these metro areas could conceivably grow to be big enough to threaten Gotham’s leadership, but over time they could in aggregate weaken its predominance, spreading financial power to what are largely relatively youthful financial centers.

This piece originally appeared in Forbes.

Joel Kotkin is executive editor of NewGeography.com. He is the Roger Hobbs Distinguished Fellow in Urban Studies at Chapman University and executive director of the Houston-based Center for Opportunity Urbanism. His newest book, The Human City: Urbanism for the rest of us, will be published in April by Agate. He is also author of The New Class Conflict, The City: A Global History, and The Next Hundred Million: America in 2050. He lives in Orange County, CA.

Michael Shires, Ph.D. is a professor at Pepperdine University School of Public Policy.

All Cities Financial Services Jobs - 2016 Best Cities Rankings

Mark Schill — Tue, 16 Aug 2016 12:55:32 -0400

Read about how we selected the 2016 Best Cities for Job Growth.

2016 MSA Financial Activities Overall Ranking	Area	2016 Fin Activities Weighted INDEX	2015 Financial Activities Emplmt (1000s)	Total Financial Activities Emplmt Growth Rate 2014-2015	2016 MSA Size Group	2015 MSA Financial Activities Overall Ranking	2016 FA Ranking Change from 2015 - All MSAs
1	Pensacola-Ferry Pass-Brent, FL	98.2	11.8	6.61%	M	5	4
2	Nashville-Davidson-Murfreesboro-Franklin, TN	96.2	60.9	4.88%	L	13	11
3	Boise City, ID	94.8	16.7	5.70%	M	16	13
4	Dallas-Plano-Irving, TX Metro Div	94.8	226.1	5.28%	L	26	22
5	St. George, UT	94.6	2.3	9.52%	S	38	33
6	Tyler, TX	94.6	4.9	6.52%	S	70	64
7	Sherman-Denison, TX	94.2	3.4	10.87%	S	56	49
8	Provo-Orem, UT	92.8	7.4	4.72%	M	117	109
9	Salt Lake City, UT	92.2	55.2	6.22%	L	50	41
10	Fort Collins, CO	92.2	6.6	4.21%	M	22	12
11	Ogden-Clearfield, UT	92.1	9.8	6.93%	M	81	70
12	Yuma, AZ	91.8	1.9	7.55%	S	262	250
13	Trenton, NJ	90.6	19.4	5.23%	M	96	83
14	Jackson, TN	90.3	2.1	8.47%	S	69	55
15	Austin-Round Rock, TX	89.9	54.3	3.17%	L	23	8
16	Florence-Muscle Shoals, AL	89.1	2.4	4.35%	S	58	42
17	Portsmouth, NH-ME NECTA	88.7	6.1	7.65%	S	24	7
18	Sheboygan, WI	88.3	2.8	11.84%	S	55	37
19	Charlotte-Concord-Gastonia, NC-SC	87.9	86.1	5.00%	L	41	22
20	Phoenix-Mesa-Scottsdale, AZ	87.8	171.2	4.50%	L	33	13
21	Charleston-North Charleston, SC	87.7	14.2	2.16%	M	44	23
22	San Antonio-New Braunfels, TX	87.6	84.5	2.63%	L	6	(16)
23	Fargo, ND-MN	87.4	10.9	1.88%	S	8	(15)
24	Clarksville, TN-KY	87.1	3.2	3.19%	S	61	37
25	St. Cloud, MN	86.3	5.0	5.63%	S	53	28
26	Louisville/Jefferson County, KY-IN	86.1	47.3	3.50%	L	36	10
27	Macon, GA	85.7	10.0	2.38%	S	29	2
28	Naples-Immokalee-Marco Island, FL	85.6	8.1	3.39%	S	12	(16)
29	Bellingham, WA	85.6	3.4	5.15%	S	4	(25)
30	Logan, UT-ID	84.6	2.0	3.45%	S	35	5
31	Myrtle Beach-Conway-North Myrtle Beach, SC-NC	84.6	8.8	7.29%	M	25	(6)
32	Pittsfield, MA NECTA	84.5	2.1	6.78%	S	93	61
33	Richmond, VA	81.8	51.3	3.57%	L	71	38
34	Chico, CA	81.2	3.5	2.94%	S	112	78
35	Charlottesville, VA	81.1	4.6	4.55%	S	59	24
36	Miami-Miami Beach-Kendall, FL Metro Div	80.7	79.5	2.85%	L	7	(29)
37	Corpus Christi, TX	80.6	8.6	0.78%	M	9	(28)
38	Columbus, OH	80.2	80.7	3.42%	L	158	120
39	Sebastian-Vero Beach, FL	78.9	2.7	5.19%	S	115	76
40	Denver-Aurora-Lakewood, CO	78.7	104.4	4.30%	L	76	36
41	Wilmington, DE-MD-NJ Metro Div	78.3	43.4	1.96%	M	43	2
42	Oshkosh-Neenah, WI	77.8	4.2	2.44%	S	39	(3)
43	Owensboro, KY	77.7	3.7	0.00%	S	11	(32)
44	Raleigh, NC	77.7	29.5	4.36%	L	229	185
45	Tacoma-Lakewood, WA Metro Div	77.1	14.2	4.41%	M	15	(30)
46	Kahului-Wailuku-Lahaina, HI	77.0	2.9	3.57%	S	46	0
47	Kansas City, KS	76.0	35.3	2.42%	L	72	25
48	Ithaca, NY	75.3	1.8	3.92%	S	57	9
49	Tucson, AZ	75.2	18.8	7.21%	M	184	135
50	Tampa-St. Petersburg-Clearwater, FL	75.2	106.2	3.38%	L	37	(13)
51	Pocatello, ID	74.8	2.3	0.00%	S	3	(48)
52	Tuscaloosa, AL	74.5	4.2	4.13%	S	126	74
53	Spartanburg, SC	74.3	4.8	2.13%	S	67	14
54	Des Moines-West Des Moines, IA	74.0	55.6	4.71%	M	111	57
55	Savannah, GA	73.6	6.7	5.79%	M	154	99
56	Reno, NV	72.8	10.2	5.17%	M	88	32
57	Bangor, ME NECTA	72.7	2.2	4.69%	S	204	147
58	Houston-The Woodlands-Sugar Land, TX	72.4	152.4	1.65%	L	99	41
59	Bloomington, IN	71.8	2.8	-1.16%	S	28	(31)
60	Greeley, CO	71.6	4.6	2.24%	S	124	64
61	Gainesville, FL	71.2	6.6	2.60%	S	177	116
62	Cincinnati, OH-KY-IN	70.1	69.4	2.51%	L	74	12
63	Kennewick-Richland, WA	69.5	4.0	3.42%	S	17	(46)
64	Eugene, OR	69.0	7.9	5.33%	M	237	173
65	Deltona-Daytona Beach-Ormond Beach, FL	69.0	8.8	3.14%	M	127	62
66	Lakeland-Winter Haven, FL	69.0	12.5	5.35%	M	195	129
67	Kalamazoo-Portage, MI	68.8	8.3	3.75%	S	244	177
68	Warren-Troy-Farmington Hills, MI Metro Div	68.3	74.9	3.98%	L	90	22
69	Lansing-East Lansing, MI	68.1	15.6	1.74%	M	52	(17)
70	Durham-Chapel Hill, NC	67.9	13.9	-0.95%	M	49	(21)
71	Greenville-Anderson-Mauldin, SC	67.9	16.7	2.03%	M	42	(29)
72	Delaware County, PA	67.5	16.1	1.47%	M	19	(53)
73	Greenville, NC	67.2	2.8	1.20%	S	31	(42)
74	Lubbock, TX	66.9	7.7	1.32%	S	51	(23)
75	Grand Rapids-Wyoming, MI	66.8	25.2	1.34%	L	64	(11)
76	Beaumont-Port Arthur, TX	66.4	5.9	3.51%	M	213	137
77	Detroit-Dearborn-Livonia, MI Metro Div	66.3	34.6	5.49%	L	80	3
78	San Francisco-Redwood City-South San Francisco, CA Metro Div	66.2	74.1	3.30%	L	68	(10)
79	Santa Cruz-Watsonville, CA	65.8	3.6	3.85%	S	83	4
80	Las Cruces, NM	65.5	2.7	-1.23%	S	40	(40)
81	Dover-Durham, NH-ME NECTA	65.2	4.2	2.46%	S	196	115
82	Odessa, TX	65.1	3.5	-7.96%	S	2	(80)
83	West Palm Beach-Boca Raton-Delray Beach, FL Metro Div	64.9	40.1	2.56%	L	47	(36)
84	Albany, OR	64.9	1.5	2.27%	S	20	(64)
85	Visalia-Porterville, CA	64.9	4.1	4.20%	S	169	84
86	Buffalo-Cheektowaga-Niagara Falls, NY	64.8	34.1	2.71%	L	107	21
87	Wichita, KS	64.4	11.6	2.66%	M	186	99
88	Lafayette-West Lafayette, IN	64.0	3.6	1.89%	S	162	74
89	Coeur d'Alene, ID	63.9	3.3	2.06%	S	119	30
90	Northern Virginia, VA	63.7	71.0	2.85%	L	136	46
91	El Paso, TX	63.6	12.5	5.95%	M	292	201
92	San Angelo, TX	63.6	2.4	-2.70%	S	77	(15)
93	Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metro Div	63.5	58.5	4.22%	L	108	15
94	Punta Gorda, FL	63.4	2.0	5.26%	S	281	187
95	Portland-Vancouver-Hillsboro, OR-WA	63.4	67.3	3.54%	L	121	26
96	Napa, CA	62.9	2.4	4.35%	S	266	170
97	Crestview-Fort Walton Beach-Destin, FL	62.6	6.2	6.32%	S	89	(8)
98	Olympia-Tumwater, WA	62.2	4.1	0.82%	S	27	(71)
99	Orlando-Kissimmee-Sanford, FL	62.1	71.9	0.47%	L	48	(51)
100	Wilmington, NC	61.6	5.3	0.64%	S	30	(70)
101	Cape Coral-Fort Myers, FL	61.4	12.2	1.96%	M	60	(41)
102	Jacksonville, FL	61.2	62.6	2.57%	L	95	(7)
103	Lincoln, NE	61.0	14.6	1.16%	M	78	(25)
104	Oklahoma City, OK	60.9	33.5	-0.30%	L	103	(1)
105	Cedar Rapids, IA	60.8	10.8	0.93%	S	109	4
106	Colorado Springs, CO	60.6	17.1	3.23%	M	203	97
107	New York City, NY	60.5	461.5	1.73%	L	114	7
108	Atlanta-Sandy Springs-Roswell, GA	60.4	163.6	2.14%	L	45	(63)
109	Bend-Redmond, OR	60.3	4.5	4.65%	S	155	46
110	Albany-Schenectady-Troy, NY	60.3	26.2	2.88%	L	171	61
111	Little Rock-North Little Rock-Conway, AR	60.0	20.7	1.64%	M	91	(20)
112	Victoria, TX	59.9	2.1	-10.00%	S	14	(98)
113	Dayton, OH	59.9	17.9	2.48%	M	140	27
114	McAllen-Edinburg-Mission, TX	59.5	9.1	0.00%	M	128	14
115	Akron, OH	59.5	13.9	3.72%	M	243	128
116	St. Louis, MO-IL	59.4	86.1	0.98%	L	134	18
117	Portland-South Portland, ME NECTA	59.2	15.4	2.66%	M	178	61
118	San Jose-Sunnyvale-Santa Clara, CA	59.1	35.3	1.44%	L	34	(84)
119	Corvallis, OR	59.1	1.4	7.69%	S	285	166
120	Indianapolis-Carmel-Anderson, IN	58.9	63.4	2.59%	L	92	(28)
121	Auburn-Opelika, AL	58.9	1.9	0.00%	S	123	2
122	Omaha-Council Bluffs, NE-IA	58.6	42.7	2.15%	L	146	24
123	Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Div	58.5	115.7	1.88%	L	165	42
124	Amarillo, TX	58.5	6.5	3.74%	S	286	162
125	Johnson City, TN	58.4	4.0	2.56%	S	230	105
126	Anaheim-Santa Ana-Irvine, CA Metro Div	58.3	117.6	2.35%	L	65	(61)
127	Green Bay, WI	58.3	12.0	-0.55%	M	98	(29)
128	Idaho Falls, ID	58.0	2.3	0.00%	S	62	(66)
129	Flagstaff, AZ	57.6	1.3	5.41%	S	291	162
130	La Crosse-Onalaska, WI-MN	57.4	3.9	1.75%	S	147	17
131	Columbus, GA-AL	57.1	13.4	-0.25%	S	63	(68)
132	Boston-Cambridge-Newton, MA NECTA Div	56.9	152.2	2.79%	L	199	67
133	Anniston-Oxford-Jacksonville, AL	56.6	1.4	0.00%	S	32	(101)
134	Manchester, NH NECTA	56.6	7.7	3.11%	S	54	(80)
135	Cheyenne, WY	56.2	2.3	0.00%	S	106	(29)
136	Killeen-Temple, TX	56.1	6.7	-8.22%	S	1	(135)
137	Topeka, KS	56.1	7.5	0.90%	S	75	(62)
138	Grand Junction, CO	55.8	3.2	1.06%	S	145	7
139	Providence-Warwick, RI-MA NECTA	55.8	35.8	2.38%	L	152	13
140	Sacramento-Roseville-Arden-Arcade, CA	55.7	51.5	3.55%	L	219	79
141	Columbia, SC	55.4	29.8	0.22%	M	143	2
142	Lake Havasu City-Kingman, AZ	55.3	1.7	2.00%	S	294	152
143	Knoxville, TN	54.9	18.6	0.18%	M	228	85
144	Minneapolis-St. Paul-Bloomington, MN-WI	54.8	148.1	2.07%	L	174	30
145	Niles-Benton Harbor, MI	54.8	2.3	4.55%	S	265	120
146	Sierra Vista-Douglas, AZ	54.7	1.0	3.45%	S	327	181
147	Scranton-Wilkes-Barre-Hazleton, PA	54.6	12.6	1.88%	M	231	84
148	Yuba City, CA	54.6	1.4	5.00%	S	161	13
149	Barnstable Town, MA NECTA	54.5	3.8	2.73%	S	216	67
150	Bay City, MI	54.0	1.4	7.69%	S	336	186
151	Baton Rouge, LA	53.9	18.4	0.00%	M	176	25
152	Santa Rosa, CA	53.8	8.1	3.42%	M	144	(8)
153	Midland, TX	53.3	4.0	-11.76%	S	10	(143)
154	Fort Worth-Arlington, TX Metro Div	53.1	56.3	0.78%	L	129	(25)
155	Hanford-Corcoran, CA	53.0	1.0	0.00%	S	280	125
156	San Diego-Carlsbad, CA	52.9	72.5	3.97%	L	209	53
157	Asheville, NC	52.4	6.0	0.00%	M	110	(47)
158	Springfield, MO	52.2	12.1	1.12%	M	212	54
159	Columbus, IN	52.1	1.4	0.00%	S	86	(73)
160	Altoona, PA	52.0	1.6	6.67%	S	181	21
161	Framingham, MA NECTA Div	51.9	5.8	1.16%	M	18	(143)
162	Grand Forks, ND-MN	51.6	1.8	0.00%	S	122	(40)
163	New Orleans-Metairie, LA	51.6	28.2	-1.40%	L	125	(38)
164	San Luis Obispo-Paso Robles-Arroyo Grande, CA	51.2	4.2	2.44%	S	250	86
165	Urban Honolulu, HI	50.8	21.4	2.07%	L	139	(26)
166	Battle Creek, MI	50.8	1.3	8.33%	S	318	152
167	Riverside-San Bernardino-Ontario, CA	50.7	43.4	1.64%	L	100	(67)
168	Las Vegas-Henderson-Paradise, NV	50.7	44.6	0.15%	L	130	(38)
169	North Port-Sarasota-Bradenton, FL	50.3	14.9	1.59%	M	193	24
170	Appleton, WI	50.1	7.2	2.37%	S	215	45
171	Bloomington, IL	49.5	20.2	3.41%	S	321	150
172	College Station-Bryan, TX	49.4	3.8	-0.87%	S	104	(68)
173	Kingston, NY	49.2	2.3	4.55%	S	330	157
174	Montgomery, AL	49.0	7.6	1.34%	M	208	34
175	Madera, CA	48.7	0.8	0.00%	S	85	(90)
176	Springfield, MA-CT NECTA	48.7	17.2	0.78%	M	133	(43)
177	Redding, CA	48.6	2.6	1.30%	S	188	11
178	Salisbury, MD-DE	48.4	6.5	7.18%	M	293	115
179	Seattle-Bellevue-Everett, WA Metro Div	48.1	83.2	2.63%	L	73	(106)
180	Fort Wayne, IN	47.9	11.7	2.64%	M	211	31
181	Nashua, NH-MA NECTA Div	47.8	7.7	5.45%	S	298	117
182	Huntsville, AL	47.5	6.3	0.53%	M	225	43
183	Kankakee, IL	47.3	2.0	0.00%	S	270	87
184	Prescott, AZ	47.1	1.9	0.00%	S	163	(21)
185	New Haven, CT NECTA	47.0	12.7	1.60%	M	116	(69)
186	Montgomery County-Bucks County-Chester County, PA Metro Div	46.9	78.5	1.55%	L	191	5
187	Madison, WI	46.7	23.4	0.57%	M	168	(19)
188	Kansas City, MO	46.5	40.0	0.76%	L	190	2
189	Chattanooga, TN-GA	46.3	15.5	3.34%	M	305	116
190	Walla Walla, WA	46.1	1.0	11.11%	S	274	84
191	Sioux Falls, SD	46.0	16.1	0.62%	M	246	55
192	Laredo, TX	46.0	3.9	0.00%	S	254	62
193	Tulsa, OK	45.9	23.5	2.32%	M	249	56
194	Charleston, WV	45.9	8.9	-1.12%	S	135	(59)
195	Bismarck, ND	45.9	3.4	0.00%	S	253	58
196	Hickory-Lenoir-Morganton, NC	45.8	3.3	1.02%	S	271	75
197	Birmingham-Hoover, AL	45.7	42.2	0.08%	L	94	(103)
198	Longview, TX	45.3	4.0	-1.64%	S	151	(47)
199	Medford, OR	44.3	3.8	3.64%	S	105	(94)
200	Hagerstown-Martinsburg, MD-WV	44.0	8.3	-2.35%	S	170	(30)
201	Winston-Salem, NC	43.7	13.1	0.77%	M	241	40
202	New Bedford, MA NECTA	43.6	1.9	1.75%	S	131	(71)
203	Fayetteville-Springdale-Rogers, AR-MO	43.4	6.9	1.98%	M	187	(16)
204	Philadelphia City, PA	43.4	42.7	1.67%	L	167	(37)
205	Virginia Beach-Norfolk-Newport News, VA-NC	42.9	37.7	0.09%	L	189	(16)
206	Lake County-Kenosha County, IL-WI Metro Div	42.9	20.8	2.12%	M	232	26
207	Worcester, MA-CT NECTA	42.7	15.2	-0.44%	M	120	(87)
208	Albuquerque, NM	42.7	18.2	1.87%	M	248	40
209	Canton-Massillon, OH	42.4	8.2	1.23%	M	172	(37)
210	Ann Arbor, MI	42.4	7.2	-1.36%	M	118	(92)
211	Burlington, NC	42.1	1.9	0.00%	S	101	(110)
212	Spokane-Spokane Valley, WA	41.9	13.1	-0.76%	M	21	(191)
213	Grants Pass, OR	41.5	1.3	0.00%	S	222	9
214	Panama City, FL	41.3	4.4	0.77%	S	142	(72)
215	Nassau County-Suffolk County, NY Metro Div	41.2	73.6	0.09%	L	257	42
216	Norwich-New London-Westerly, CT-RI NECTA	40.8	3.1	3.33%	S	313	97
217	Fresno, CA	40.4	13.2	2.33%	M	234	17
218	Chicago-Naperville-Arlington Heights, IL Metro Div	39.9	253.4	1.23%	L	242	24
219	Casper, WY	39.8	2.0	-4.76%	S	82	(137)
220	Los Angeles-Long Beach-Glendale, CA Metro Div	39.6	215.9	1.55%	L	239	19
221	Eau Claire, WI	39.6	3.7	2.78%	S	247	26
222	Roanoke, VA	39.6	8.4	0.00%	M	180	(42)
223	Bakersfield, CA	39.4	8.5	-1.16%	M	159	(64)
224	Lancaster, PA	39.0	8.7	0.00%	M	192	(32)
225	Elgin, IL Metro Div	38.7	10.8	-1.52%	M	206	(19)
226	Glens Falls, NY	38.7	1.9	0.00%	S	223	(3)
227	Memphis, TN-MS-AR	38.6	28.0	2.07%	L	258	31
228	Jackson, MI	38.5	1.8	0.00%	S	97	(131)
229	Anchorage, AK	38.4	8.1	1.67%	M	138	(91)
230	Rapid City, SD	38.0	3.9	-5.60%	S	102	(128)
231	Ocala, FL	37.8	4.2	2.44%	S	296	65
232	Jackson, MS	37.8	15.4	1.31%	M	289	57
233	Muskegon, MI	37.3	1.8	1.89%	S	252	19
234	Dover, DE	37.2	1.7	2.04%	S	201	(33)
235	Bergen-Hudson-Passaic, NJ	37.2	68.6	2.95%	L	331	96
236	Erie, PA	37.1	6.2	0.00%	S	66	(170)
237	Abilene, TX	36.9	3.6	-0.92%	S	260	23
238	Kokomo, IN	36.4	1.1	3.03%	S	304	66
239	Pittsburgh, PA	35.9	69.1	-1.05%	L	264	25
240	Rockford, IL	35.8	5.6	0.60%	M	148	(92)
241	Boulder, CO	35.6	7.2	0.00%	M	149	(92)
242	Cleveland-Elyria, OH	35.5	65.1	0.72%	L	160	(82)
243	Camden, NJ Metro Div	35.2	28.8	2.13%	L	322	79
244	Springfield, OH	34.9	3.9	-11.28%	S	132	(112)
245	Janesville-Beloit, WI	34.6	1.8	0.00%	S	164	(81)
246	Cleveland, TN	34.2	1.4	0.00%	S	288	42
247	Rochester, NY	34.0	21.0	-3.38%	L	175	(72)
248	Evansville, IN-KY	33.5	4.8	-1.37%	M	200	(48)
249	Michigan City-La Porte, IN	33.4	1.2	-2.70%	S	113	(136)
250	Toledo, OH	33.3	10.4	0.97%	M	214	(36)
251	Lexington-Fayette, KY	33.2	9.7	1.40%	M	299	48
252	Fond du Lac, WI	33.0	1.8	0.00%	S	301	49
253	Allentown-Bethlehem-Easton, PA-NJ	32.9	14.9	-0.22%	M	157	(96)
254	Bridgeport-Stamford-Norwalk, CT NECTA	31.9	41.0	-0.16%	M	308	54
255	Muncie, IN	31.9	2.4	0.00%	S	323	68
256	Duluth, MN-WI	31.9	5.6	-2.87%	S	295	39
257	Brownsville-Harlingen, TX	31.8	5.1	-1.29%	S	224	(33)
258	Wichita Falls, TX	31.6	2.6	0.00%	S	278	20
259	Dothan, AL	31.6	2.0	1.69%	S	333	74
260	Salinas, CA	31.6	4.1	1.67%	S	314	54
261	Terre Haute, IN	31.6	2.5	-2.60%	S	238	(23)
262	Middlesex-Monmouth-Ocean, NJ	31.6	41.5	0.00%	L	269	7
263	Peoria, IL	31.3	7.4	-0.90%	M	173	(90)
264	Peabody-Salem-Beverly, MA NECTA Div	31.1	4.3	0.00%	S	251	(13)
265	Burlington-South Burlington, VT NECTA	30.6	4.7	-1.40%	S	156	(109)
266	Lewiston, ID-WA	30.5	1.6	0.00%	S	194	(72)
267	Newark, NJ-PA Metro Div	30.3	80.6	1.81%	L	197	(70)
268	Wausau, WI	30.1	5.0	0.67%	S	284	16
269	Orange-Rockland-Westchester, NY	29.7	37.1	-0.54%	L	259	(10)
270	Silver Spring-Frederick-Rockville, MD Metro Div	29.7	39.0	0.69%	L	337	67
271	Hartford-West Hartford-East Hartford, CT NECTA	28.8	57.4	1.18%	L	317	46
272	Waco, TX	28.5	6.2	-1.07%	S	221	(51)
273	Gary, IN Metro Div	28.4	8.6	0.00%	M	235	(38)
274	Augusta-Richmond County, GA-SC	27.9	7.7	0.87%	M	79	(195)
275	Lynchburg, VA	27.5	4.7	-2.08%	S	141	(134)
276	South Bend-Mishawaka, IN-MI	27.4	5.4	1.90%	S	279	3
277	Oakland-Hayward-Berkeley, CA Metro Div	27.0	48.9	-1.08%	L	220	(57)
278	Vallejo-Fairfield, CA	26.7	4.9	2.08%	S	300	22
279	Reading, PA	26.4	6.1	2.25%	M	338	59
280	Lawrence-Methuen Town-Salem, MA-NH NECTA Div	26.2	2.2	0.00%	S	340	60
281	York-Hanover, PA	26.0	5.1	-0.65%	M	137	(144)
282	Atlantic City-Hammonton, NJ	25.8	3.9	0.87%	S	297	15
283	Gadsden, AL	25.7	1.3	0.00%	S	287	4
284	Kingsport-Bristol-Bristol, TN-VA	25.6	3.6	0.93%	S	344	60
285	El Centro, CA	25.0	1.3	-4.88%	S	166	(119)
286	Texarkana, TX-AR	24.8	2.3	0.00%	S	275	(11)
287	Palm Bay-Melbourne-Titusville, FL	24.8	7.2	0.93%	M	240	(47)
288	Elmira, NY	24.6	1.4	-6.67%	S	198	(90)
289	Champaign-Urbana, IL	24.5	4.2	-1.57%	S	179	(110)
290	Gulfport-Biloxi-Pascagoula, MS	24.4	5.2	0.00%	M	339	49
291	Lowell-Billerica-Chelmsford, MA-NH NECTA Div	24.4	3.7	0.91%	S	324	33
292	Leominster-Gardner, MA NECTA	24.1	1.6	2.13%	S	290	(2)
293	Decatur, AL	23.8	2.0	-1.67%	S	153	(140)
294	Johnstown, PA	23.7	2.7	0.00%	S	226	(68)
295	Salem, OR	23.5	6.9	-1.44%	M	183	(112)
296	Waterbury, CT NECTA	23.2	2.0	0.00%	S	263	(33)
297	Rochester, MN	23.1	2.7	0.00%	S	218	(79)
298	Fayetteville, NC	23.0	3.8	-0.86%	S	261	(37)
299	Waterloo-Cedar Falls, IA	22.8	4.8	-2.70%	S	283	(16)
300	Harrisburg-Carlisle, PA	22.6	22.0	-2.37%	M	87	(213)
301	Huntington-Ashland, WV-KY-OH	22.6	6.9	-0.48%	S	303	2
302	Baltimore City, MD	22.4	17.6	-0.19%	M	273	(29)
303	Modesto, CA	22.1	5.2	0.65%	M	217	(86)
304	Shreveport-Bossier City, LA	21.9	7.4	-2.64%	M	236	(68)
305	Danville, IL	21.9	1.3	0.00%	S	329	24
306	Fairbanks, AK	21.5	1.2	0.00%	S	328	22
307	Calvert-Charles-Prince George's, MD	21.4	13.4	0.50%	M	335	28
308	Utica-Rome, NY	21.0	7.0	-1.41%	S	233	(75)
309	Port St. Lucie, FL	20.6	5.2	-0.63%	S	205	(104)
310	Santa Maria-Santa Barbara, CA	20.6	6.3	-0.52%	M	210	(100)
311	Milwaukee-Waukesha-West Allis, WI	20.2	50.6	-2.51%	L	182	(129)
312	Merced, CA	20.1	1.5	-4.26%	S	268	(44)
313	Tallahassee, FL	19.7	7.0	0.48%	M	245	(68)
314	Stockton-Lodi, CA	19.7	7.3	-1.35%	M	256	(58)
315	Saginaw, MI	19.6	3.6	-0.91%	S	302	(13)
316	Flint, MI	19.5	6.2	-1.06%	S	282	(34)
317	Santa Fe, NM	18.8	2.5	-1.33%	S	276	(41)
318	Greensboro-High Point, NC	18.7	17.8	1.33%	M	325	7
319	Morristown, TN	18.5	1.0	0.00%	S	227	(92)
320	Brockton-Bridgewater-Easton, MA NECTA Div	18.4	2.2	-8.33%	S	207	(113)
321	Taunton-Middleborough-Norton, MA NECTA Div	18.4	1.8	1.89%	S	341	20
322	Lawton, OK	18.2	2.2	-4.35%	S	334	12
323	Binghamton, NY	18.1	3.5	0.00%	S	316	(7)
324	Syracuse, NY	17.1	15.5	-1.90%	M	310	(14)
325	Elkhart-Goshen, IN	17.0	2.7	0.00%	S	326	1
326	Mobile, AL	16.8	8.1	-1.22%	M	319	(7)
327	Fort Smith, AR-OK	16.6	3.7	-3.45%	S	267	(60)
328	Watertown-Fort Drum, NY	16.3	1.2	0.00%	S	342	14
329	Haverhill-Newburyport-Amesbury Town, MA-NH NECTA Div	15.0	2.0	-4.76%	S	306	(23)
330	Springfield, IL	14.1	6.7	-3.37%	S	311	(19)
331	Lynn-Saugus-Marblehead, MA NECTA Div	14.0	1.9	-1.72%	S	150	(181)
332	Dutchess County-Putnam County, NY Metro Div	13.2	4.8	-0.69%	S	332	0
333	Lewiston-Auburn, ME NECTA	12.9	2.2	-4.35%	S	84	(249)
334	Decatur, IL	12.6	1.8	-5.26%	S	255	(79)
335	Youngstown-Warren-Boardman, OH-PA	12.3	7.3	-1.35%	M	315	(20)
336	Lafayette, LA	12.2	10.8	-9.97%	M	202	(134)
337	Pueblo, CO	10.8	1.8	-5.36%	S	185	(152)
338	Davenport-Moline-Rock Island, IA-IL	10.7	7.3	-1.36%	M	277	(61)
339	Oxnard-Thousand Oaks-Ventura, CA	9.0	17.6	-3.83%	M	312	(27)
340	San Rafael, CA Metro Div	8.8	6.3	-4.06%	S	307	(33)
341	Monroe, MI	8.5	1.0	-3.23%	S	320	(21)
342	Mansfield, OH	4.6	1.4	-6.67%	S	272	(70)
343	Vineland-Bridgeton, NJ	3.5	1.3	-7.14%	S	309	(34)
344	Racine, WI	3.3	2.3	-5.41%	S	343	(1)

Large Cities Financial Services Jobs - 2016 Best Cities Rankings

Mark Schill — Tue, 16 Aug 2016 12:55:29 -0400

Read about how we selected the 2016 Best Cities for Job Growth.

2016 Financial Activities Ranking - Large MSAs	Area	2016 Fin Activities Weighted INDEX	2015 Financial Activities Emplmt (1000s)	Total Financial Activities Emplmt Growth Rate 2014-2015	2015 Financial Activities Ranking - Large MSAs	2016 FA Ranking Change from 2015 - Large MSAs
1	Nashville-Davidson-Murfreesboro-Franklin, TN	96.2	60.9	4.88%	3	2
2	Dallas-Plano-Irving, TX Metro Div	94.8	226.1	5.28%	5	3
3	Salt Lake City, UT	92.2	55.2	6.22%	14	11
4	Austin-Round Rock, TX	89.9	54.3	3.17%	4	0
5	Charlotte-Concord-Gastonia, NC-SC	87.9	86.1	5.00%	10	5
6	Phoenix-Mesa-Scottsdale, AZ	87.8	171.2	4.50%	6	0
7	San Antonio-New Braunfels, TX	87.6	84.5	2.63%	1	(6)
8	Louisville/Jefferson County, KY-IN	86.1	47.3	3.50%	8	0
9	Richmond, VA	81.8	51.3	3.57%	18	9
10	Miami-Miami Beach-Kendall, FL Metro Div	80.7	79.5	2.85%	2	(8)
11	Columbus, OH	80.2	80.7	3.42%	43	32
12	Denver-Aurora-Lakewood, CO	78.7	104.4	4.30%	22	10
13	Raleigh, NC	77.7	29.5	4.36%	59	46
14	Kansas City, KS	76.0	35.3	2.42%	19	5
15	Tampa-St. Petersburg-Clearwater, FL	75.2	106.2	3.38%	9	(6)
16	Houston-The Woodlands-Sugar Land, TX	72.4	152.4	1.65%	28	12
17	Cincinnati, OH-KY-IN	70.1	69.4	2.51%	21	4
18	Warren-Troy-Farmington Hills, MI Metro Div	68.3	74.9	3.98%	24	6
19	Grand Rapids-Wyoming, MI	66.8	25.2	1.34%	15	(4)
20	Detroit-Dearborn-Livonia, MI Metro Div	66.3	34.6	5.49%	23	3
21	San Francisco-Redwood City-South San Francisco, CA Metro Div	66.2	74.1	3.30%	17	(4)
22	West Palm Beach-Boca Raton-Delray Beach, FL Metro Div	64.9	40.1	2.56%	12	(10)
23	Buffalo-Cheektowaga-Niagara Falls, NY	64.8	34.1	2.71%	31	8
24	Northern Virginia, VA	63.7	71.0	2.85%	39	15
25	Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metro Div	63.5	58.5	4.22%	32	7
26	Portland-Vancouver-Hillsboro, OR-WA	63.4	67.3	3.54%	34	8
27	Orlando-Kissimmee-Sanford, FL	62.1	71.9	0.47%	13	(14)
28	Jacksonville, FL	61.2	62.6	2.57%	27	(1)
29	Oklahoma City, OK	60.9	33.5	-0.30%	30	1
30	New York City, NY	60.5	461.5	1.73%	33	3
31	Atlanta-Sandy Springs-Roswell, GA	60.4	163.6	2.14%	11	(20)
32	Albany-Schenectady-Troy, NY	60.3	26.2	2.88%	47	15
33	St. Louis, MO-IL	59.4	86.1	0.98%	38	5
34	San Jose-Sunnyvale-Santa Clara, CA	59.1	35.3	1.44%	7	(27)
35	Indianapolis-Carmel-Anderson, IN	58.9	63.4	2.59%	25	(10)
36	Omaha-Council Bluffs, NE-IA	58.6	42.7	2.15%	41	5
37	Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Div	58.5	115.7	1.88%	45	8
38	Anaheim-Santa Ana-Irvine, CA Metro Div	58.3	117.6	2.35%	16	(22)
39	Boston-Cambridge-Newton, MA NECTA Div	56.9	152.2	2.79%	55	16
40	Providence-Warwick, RI-MA NECTA	55.8	35.8	2.38%	42	2
41	Sacramento-Roseville-Arden-Arcade, CA	55.7	51.5	3.55%	57	16
42	Minneapolis-St. Paul-Bloomington, MN-WI	54.8	148.1	2.07%	48	6
43	Fort Worth-Arlington, TX Metro Div	53.1	56.3	0.78%	36	(7)
44	San Diego-Carlsbad, CA	52.9	72.5	3.97%	56	12
45	New Orleans-Metairie, LA	51.6	28.2	-1.40%	35	(10)
46	Urban Honolulu, HI	50.8	21.4	2.07%	40	(6)
47	Riverside-San Bernardino-Ontario, CA	50.7	43.4	1.64%	29	(18)
48	Las Vegas-Henderson-Paradise, NV	50.7	44.6	0.15%	37	(11)
49	Seattle-Bellevue-Everett, WA Metro Div	48.1	83.2	2.63%	20	(29)
50	Montgomery County-Bucks County-Chester County, PA Metro Div	46.9	78.5	1.55%	53	3
51	Kansas City, MO	46.5	40.0	0.76%	52	1
52	Birmingham-Hoover, AL	45.7	42.2	0.08%	26	(26)
53	Philadelphia City, PA	43.4	42.7	1.67%	46	(7)
54	Virginia Beach-Norfolk-Newport News, VA-NC	42.9	37.7	0.09%	51	(3)
55	Nassau County-Suffolk County, NY Metro Div	41.2	73.6	0.09%	62	7
56	Chicago-Naperville-Arlington Heights, IL Metro Div	39.9	253.4	1.23%	61	5
57	Los Angeles-Long Beach-Glendale, CA Metro Div	39.6	215.9	1.55%	60	3
58	Memphis, TN-MS-AR	38.6	28.0	2.07%	63	5
59	Bergen-Hudson-Passaic, NJ	37.2	68.6	2.95%	69	10
60	Pittsburgh, PA	35.9	69.1	-1.05%	65	5
61	Cleveland-Elyria, OH	35.5	65.1	0.72%	44	(17)
62	Camden, NJ Metro Div	35.2	28.8	2.13%	68	6
63	Rochester, NY	34.0	21.0	-3.38%	49	(14)
64	Middlesex-Monmouth-Ocean, NJ	31.6	41.5	0.00%	66	2
65	Newark, NJ-PA Metro Div	30.3	80.6	1.81%	54	(11)
66	Orange-Rockland-Westchester, NY	29.7	37.1	-0.54%	64	(2)
67	Silver Spring-Frederick-Rockville, MD Metro Div	29.7	39.0	0.69%	70	3
68	Hartford-West Hartford-East Hartford, CT NECTA	28.8	57.4	1.18%	67	(1)
69	Oakland-Hayward-Berkeley, CA Metro Div	27.0	48.9	-1.08%	58	(11)
70	Milwaukee-Waukesha-West Allis, WI	20.2	50.6	-2.51%	50	(20)

Mid Sized Cities Financial Services Jobs - 2016 Best Cities Rankings

Mark Schill — Tue, 16 Aug 2016 12:55:26 -0400

Read about how we selected the 2016 Best Cities for Job Growth.

2016 Financial Activities Ranking - Midsized MSAs	Area	2016 Fin Activities Weighted INDEX	2015 Financial Activities Emplmt (1000s)	Total Financial Activities Emplmt Growth Rate 2014-2015	2015 Financial Activities Ranking - Midsized MSAs	2016 FA Ranking Change from 2015 - Midsized MSAs
1	Pensacola-Ferry Pass-Brent, FL	98.2	11.8	6.61%	1	0
2	Boise City, ID	94.8	16.7	5.70%	4	2
3	Provo-Orem, UT	92.8	7.4	4.72%	25	22
4	Fort Collins, CO	92.2	6.6	4.21%	8	4
5	Ogden-Clearfield, UT	92.1	9.8	6.93%	16	11
6	Trenton, NJ	90.6	19.4	5.23%	20	14
7	Charleston-North Charleston, SC	87.7	14.2	2.16%	10	3
8	Myrtle Beach-Conway-North Myrtle Beach, SC-NC	84.6	8.8	7.29%	8	0
9	Corpus Christi, TX	80.6	8.6	0.78%	2	(7)
10	Wilmington, DE-MD-NJ Metro Div	78.3	43.4	1.96%	9	(1)
11	Tacoma-Lakewood, WA Metro Div	77.1	14.2	4.41%	3	(8)
12	Tucson, AZ	75.2	18.8	7.21%	48	36
13	Des Moines-West Des Moines, IA	74.0	55.6	4.71%	23	10
14	Savannah, GA	73.6	6.7	5.79%	38	24
15	Reno, NV	72.8	10.2	5.17%	18	3
16	Eugene, OR	69.0	7.9	5.33%	72	56
17	Deltona-Daytona Beach-Ormond Beach, FL	69.0	8.8	3.14%	28	11
18	Lakeland-Winter Haven, FL	69.0	12.5	5.35%	53	35
19	Lansing-East Lansing, MI	68.1	15.6	1.74%	12	(7)
20	Durham-Chapel Hill, NC	67.9	13.9	-0.95%	11	(9)
21	Greenville-Anderson-Mauldin, SC	67.9	16.7	2.03%	8	(13)
22	Delaware County, PA	67.5	16.1	1.47%	6	(16)
23	Beaumont-Port Arthur, TX	66.4	5.9	3.51%	62	39
24	Wichita, KS	64.4	11.6	2.66%	49	25
25	El Paso, TX	63.6	12.5	5.95%	82	57
26	Cape Coral-Fort Myers, FL	61.4	12.2	1.96%	13	(13)
27	Lincoln, NE	61.0	14.6	1.16%	14	(13)
28	Colorado Springs, CO	60.6	17.1	3.23%	56	28
29	Little Rock-North Little Rock-Conway, AR	60.0	20.7	1.64%	19	(10)
30	Dayton, OH	59.9	17.9	2.48%	33	3
31	McAllen-Edinburg-Mission, TX	59.5	9.1	0.00%	29	(2)
32	Akron, OH	59.5	13.9	3.72%	74	42
33	Portland-South Portland, ME NECTA	59.2	15.4	2.66%	45	12
34	Green Bay, WI	58.3	12.0	-0.55%	21	(13)
35	Columbia, SC	55.4	29.8	0.22%	34	(1)
36	Knoxville, TN	54.9	18.6	0.18%	66	30
37	Scranton-Wilkes-Barre-Hazleton, PA	54.6	12.6	1.88%	67	30
38	Baton Rouge, LA	53.9	18.4	0.00%	44	6
39	Santa Rosa, CA	53.8	8.1	3.42%	35	(4)
40	Asheville, NC	52.4	6.0	0.00%	22	(18)
41	Springfield, MO	52.2	12.1	1.12%	61	20
42	Framingham, MA NECTA Div	51.9	5.8	1.16%	5	(37)
43	North Port-Sarasota-Bradenton, FL	50.3	14.9	1.59%	52	9
44	Montgomery, AL	49.0	7.6	1.34%	58	14
45	Springfield, MA-CT NECTA	48.7	17.2	0.78%	30	(15)
46	Salisbury, MD-DE	48.4	6.5	7.18%	83	37
47	Fort Wayne, IN	47.9	11.7	2.64%	60	13
48	Huntsville, AL	47.5	6.3	0.53%	65	17
49	New Haven, CT NECTA	47.0	12.7	1.60%	24	(25)
50	Madison, WI	46.7	23.4	0.57%	41	(9)
51	Chattanooga, TN-GA	46.3	15.5	3.34%	84	33
52	Sioux Falls, SD	46.0	16.1	0.62%	76	24
53	Tulsa, OK	45.9	23.5	2.32%	77	24
54	Winston-Salem, NC	43.7	13.1	0.77%	73	19
55	Fayetteville-Springdale-Rogers, AR-MO	43.4	6.9	1.98%	50	(5)
56	Lake County-Kenosha County, IL-WI Metro Div	42.9	20.8	2.12%	68	12
57	Worcester, MA-CT NECTA	42.7	15.2	-0.44%	27	(30)
58	Albuquerque, NM	42.7	18.2	1.87%	76	18
59	Canton-Massillon, OH	42.4	8.2	1.23%	42	(17)
60	Ann Arbor, MI	42.4	7.2	-1.36%	26	(34)
61	Spokane-Spokane Valley, WA	41.9	13.1	-0.76%	7	(54)
62	Fresno, CA	40.4	13.2	2.33%	69	7
63	Roanoke, VA	39.6	8.4	0.00%	46	(17)
64	Bakersfield, CA	39.4	8.5	-1.16%	40	(24)
65	Lancaster, PA	39.0	8.7	0.00%	51	(14)
66	Elgin, IL Metro Div	38.7	10.8	-1.52%	57	(9)
67	Anchorage, AK	38.4	8.1	1.67%	32	(35)
68	Jackson, MS	37.8	15.4	1.31%	81	13
69	Rockford, IL	35.8	5.6	0.60%	36	(33)
70	Boulder, CO	35.6	7.2	0.00%	37	(33)
71	Evansville, IN-KY	33.5	4.8	-1.37%	54	(17)
72	Toledo, OH	33.3	10.4	0.97%	63	(9)
73	Lexington-Fayette, KY	33.2	9.7	1.40%	83	10
74	Allentown-Bethlehem-Easton, PA-NJ	32.9	14.9	-0.22%	39	(35)
75	Bridgeport-Stamford-Norwalk, CT NECTA	31.9	41.0	-0.16%	85	10
76	Peoria, IL	31.3	7.4	-0.90%	43	(33)
77	Gary, IN Metro Div	28.4	8.6	0.00%	70	(7)
78	Augusta-Richmond County, GA-SC	27.9	7.7	0.87%	15	(63)
79	Reading, PA	26.4	6.1	2.25%	92	13
80	York-Hanover, PA	26.0	5.1	-0.65%	31	(49)
81	Palm Bay-Melbourne-Titusville, FL	24.8	7.2	0.93%	72	(9)
82	Gulfport-Biloxi-Pascagoula, MS	24.4	5.2	0.00%	93	11
83	Salem, OR	23.5	6.9	-1.44%	47	(36)
84	Harrisburg-Carlisle, PA	22.6	22.0	-2.37%	17	(67)
85	Baltimore City, MD	22.4	17.6	-0.19%	79	(6)
86	Modesto, CA	22.1	5.2	0.65%	64	(22)
87	Shreveport-Bossier City, LA	21.9	7.4	-2.64%	71	(16)
88	Calvert-Charles-Prince George's, MD	21.4	13.4	0.50%	91	3
89	Santa Maria-Santa Barbara, CA	20.6	6.3	-0.52%	59	(30)
90	Tallahassee, FL	19.7	7.0	0.48%	75	(15)
91	Stockton-Lodi, CA	19.7	7.3	-1.35%	78	(13)
92	Greensboro-High Point, NC	18.7	17.8	1.33%	90	(2)
93	Syracuse, NY	17.1	15.5	-1.90%	86	(7)
94	Mobile, AL	16.8	8.1	-1.22%	89	(5)
95	Youngstown-Warren-Boardman, OH-PA	12.3	7.3	-1.35%	88	(7)
96	Lafayette, LA	12.2	10.8	-9.97%	55	(41)
97	Davenport-Moline-Rock Island, IA-IL	10.7	7.3	-1.36%	80	(17)
98	Oxnard-Thousand Oaks-Ventura, CA	9.0	17.6	-3.83%	87	(11)

Small Cities Financial Services Jobs - 2016 Best Cities Rankings

Mark Schill — Tue, 16 Aug 2016 12:55:23 -0400

Read about how we selected the 2016 Best Cities for Job Growth.

2016 Financial Activities Ranking - Small MSAs	Area	2016 Fin Activities Weighted INDEX	2015 Financial Activities Emplmt (1000s)	Total Financial Activities Emplmt Growth Rate 2014-2015	2015 Financial Activities Ranking - Small MSAs	2016 FA Ranking Change from 2015 - Small MSAs
1	St. George, UT	94.6	2.3	9.52%	22	21
2	Tyler, TX	94.6	4.9	6.52%	40	38
3	Sherman-Denison, TX	94.2	3.4	10.87%	30	27
4	Yuma, AZ	91.8	1.9	7.55%	120	116
5	Jackson, TN	90.3	2.1	8.47%	39	34
6	Florence-Muscle Shoals, AL	89.1	2.4	4.35%	32	26
7	Portsmouth, NH-ME NECTA	88.7	6.1	7.65%	13	6
8	Sheboygan, WI	88.3	2.8	11.84%	29	21
9	Fargo, ND-MN	87.4	10.9	1.88%	5	(4)
10	Clarksville, TN-KY	87.1	3.2	3.19%	34	24
11	St. Cloud, MN	86.3	5.0	5.63%	27	16
12	Macon, GA	85.7	10.0	2.38%	17	5
13	Naples-Immokalee-Marco Island, FL	85.6	8.1	3.39%	8	(5)
14	Bellingham, WA	85.6	3.4	5.15%	4	(10)
15	Logan, UT-ID	84.6	2.0	3.45%	21	6
16	Pittsfield, MA NECTA	84.5	2.1	6.78%	49	33
17	Chico, CA	81.2	3.5	2.94%	57	40
18	Charlottesville, VA	81.1	4.6	4.55%	33	15
19	Sebastian-Vero Beach, FL	78.9	2.7	5.19%	59	40
20	Oshkosh-Neenah, WI	77.8	4.2	2.44%	23	3
21	Owensboro, KY	77.7	3.7	0.00%	7	(14)
22	Kahului-Wailuku-Lahaina, HI	77.0	2.9	3.57%	25	3
23	Ithaca, NY	75.3	1.8	3.92%	31	8
24	Pocatello, ID	74.8	2.3	0.00%	3	(21)
25	Tuscaloosa, AL	74.5	4.2	4.13%	64	39
26	Spartanburg, SC	74.3	4.8	2.13%	38	12
27	Bangor, ME NECTA	72.7	2.2	4.69%	93	66
28	Bloomington, IN	71.8	2.8	-1.16%	16	(12)
29	Greeley, CO	71.6	4.6	2.24%	63	34
30	Gainesville, FL	71.2	6.6	2.60%	84	54
31	Kennewick-Richland, WA	69.5	4.0	3.42%	10	(21)
32	Kalamazoo-Portage, MI	68.8	8.3	3.75%	109	77
33	Greenville, NC	67.2	2.8	1.20%	19	(14)
34	Lubbock, TX	66.9	7.7	1.32%	26	(8)
35	Santa Cruz-Watsonville, CA	65.8	3.6	3.85%	44	9
36	Las Cruces, NM	65.5	2.7	-1.23%	24	(12)
37	Dover-Durham, NH-ME NECTA	65.2	4.2	2.46%	90	53
38	Odessa, TX	65.1	3.5	-7.96%	2	(36)
39	Albany, OR	64.9	1.5	2.27%	11	(28)
40	Visalia-Porterville, CA	64.9	4.1	4.20%	82	42
41	Lafayette-West Lafayette, IN	64.0	3.6	1.89%	78	37
42	Coeur d'Alene, ID	63.9	3.3	2.06%	60	18
43	San Angelo, TX	63.6	2.4	-2.70%	42	(1)
44	Punta Gorda, FL	63.4	2.0	5.26%	135	91
45	Napa, CA	62.9	2.4	4.35%	123	78
46	Crestview-Fort Walton Beach-Destin, FL	62.6	6.2	6.32%	48	2
47	Olympia-Tumwater, WA	62.2	4.1	0.82%	15	(32)
48	Wilmington, NC	61.6	5.3	0.64%	18	(30)
49	Cedar Rapids, IA	60.8	10.8	0.93%	56	7
50	Bend-Redmond, OR	60.3	4.5	4.65%	75	25
51	Victoria, TX	59.9	2.1	-10.00%	9	(42)
52	Corvallis, OR	59.1	1.4	7.69%	139	87
53	Auburn-Opelika, AL	58.9	1.9	0.00%	62	9
54	Amarillo, TX	58.5	6.5	3.74%	140	86
55	Johnson City, TN	58.4	4.0	2.56%	105	50
56	Idaho Falls, ID	58.0	2.3	0.00%	35	(21)
57	Flagstaff, AZ	57.6	1.3	5.41%	144	87
58	La Crosse-Onalaska, WI-MN	57.4	3.9	1.75%	71	13
59	Columbus, GA-AL	57.1	13.4	-0.25%	36	(23)
60	Anniston-Oxford-Jacksonville, AL	56.6	1.4	0.00%	20	(40)
61	Manchester, NH NECTA	56.6	7.7	3.11%	28	(33)
62	Cheyenne, WY	56.2	2.3	0.00%	55	(7)
63	Killeen-Temple, TX	56.1	6.7	-8.22%	1	(62)
64	Topeka, KS	56.1	7.5	0.90%	41	(23)
65	Grand Junction, CO	55.8	3.2	1.06%	70	5
66	Lake Havasu City-Kingman, AZ	55.3	1.7	2.00%	146	80
67	Niles-Benton Harbor, MI	54.8	2.3	4.55%	122	55
68	Sierra Vista-Douglas, AZ	54.7	1.0	3.45%	169	101
69	Yuba City, CA	54.6	1.4	5.00%	77	8
70	Barnstable Town, MA NECTA	54.5	3.8	2.73%	97	27
71	Bay City, MI	54.0	1.4	7.69%	176	105
72	Midland, TX	53.3	4.0	-11.76%	6	(66)
73	Hanford-Corcoran, CA	53.0	1.0	0.00%	134	61
74	Columbus, IN	52.1	1.4	0.00%	47	(27)
75	Altoona, PA	52.0	1.6	6.67%	86	11
76	Grand Forks, ND-MN	51.6	1.8	0.00%	61	(15)
77	San Luis Obispo-Paso Robles-Arroyo Grande, CA	51.2	4.2	2.44%	112	35
78	Battle Creek, MI	50.8	1.3	8.33%	163	85
79	Appleton, WI	50.1	7.2	2.37%	96	17
80	Bloomington, IL	49.5	20.2	3.41%	165	85
81	College Station-Bryan, TX	49.4	3.8	-0.87%	53	(28)
82	Kingston, NY	49.2	2.3	4.55%	172	90
83	Madera, CA	48.7	0.8	0.00%	46	(37)
84	Redding, CA	48.6	2.6	1.30%	88	4
85	Nashua, NH-MA NECTA Div	47.8	7.7	5.45%	150	65
86	Kankakee, IL	47.3	2.0	0.00%	126	40
87	Prescott, AZ	47.1	1.9	0.00%	79	(8)
88	Walla Walla, WA	46.1	1.0	11.11%	129	41
89	Laredo, TX	46.0	3.9	0.00%	116	27
90	Charleston, WV	45.9	8.9	-1.12%	67	(23)
91	Bismarck, ND	45.9	3.4	0.00%	115	24
92	Hickory-Lenoir-Morganton, NC	45.8	3.3	1.02%	127	35
93	Longview, TX	45.3	4.0	-1.64%	73	(20)
94	Medford, OR	44.3	3.8	3.64%	54	(40)
95	Hagerstown-Martinsburg, MD-WV	44.0	8.3	-2.35%	83	(12)
96	New Bedford, MA NECTA	43.6	1.9	1.75%	65	(31)
97	Burlington, NC	42.1	1.9	0.00%	51	(46)
98	Grants Pass, OR	41.5	1.3	0.00%	100	2
99	Panama City, FL	41.3	4.4	0.77%	69	(30)
100	Norwich-New London-Westerly, CT-RI NECTA	40.8	3.1	3.33%	160	60
101	Casper, WY	39.8	2.0	-4.76%	43	(58)
102	Eau Claire, WI	39.6	3.7	2.78%	111	9
103	Glens Falls, NY	38.7	1.9	0.00%	101	(2)
104	Jackson, MI	38.5	1.8	0.00%	50	(54)
105	Rapid City, SD	38.0	3.9	-5.60%	52	(53)
106	Ocala, FL	37.8	4.2	2.44%	148	42
107	Muskegon, MI	37.3	1.8	1.89%	114	7
108	Dover, DE	37.2	1.7	2.04%	92	(16)
109	Erie, PA	37.1	6.2	0.00%	37	(72)
110	Abilene, TX	36.9	3.6	-0.92%	118	8
111	Kokomo, IN	36.4	1.1	3.03%	155	44
112	Springfield, OH	34.9	3.9	-11.28%	66	(46)
113	Janesville-Beloit, WI	34.6	1.8	0.00%	80	(33)
114	Cleveland, TN	34.2	1.4	0.00%	142	28
115	Michigan City-La Porte, IN	33.4	1.2	-2.70%	58	(57)
116	Fond du Lac, WI	33.0	1.8	0.00%	152	36
117	Muncie, IN	31.9	2.4	0.00%	166	49
118	Duluth, MN-WI	31.9	5.6	-2.87%	147	29
119	Brownsville-Harlingen, TX	31.8	5.1	-1.29%	102	(17)
120	Wichita Falls, TX	31.6	2.6	0.00%	132	12
121	Dothan, AL	31.6	2.0	1.69%	174	53
122	Salinas, CA	31.6	4.1	1.67%	161	39
123	Terre Haute, IN	31.6	2.5	-2.60%	108	(15)
124	Peabody-Salem-Beverly, MA NECTA Div	31.1	4.3	0.00%	113	(11)
125	Burlington-South Burlington, VT NECTA	30.6	4.7	-1.40%	76	(49)
126	Lewiston, ID-WA	30.5	1.6	0.00%	89	(37)
127	Wausau, WI	30.1	5.0	0.67%	138	11
128	Waco, TX	28.5	6.2	-1.07%	99	(29)
129	Lynchburg, VA	27.5	4.7	-2.08%	68	(61)
130	South Bend-Mishawaka, IN-MI	27.4	5.4	1.90%	133	3
131	Vallejo-Fairfield, CA	26.7	4.9	2.08%	151	20
132	Lawrence-Methuen Town-Salem, MA-NH NECTA Div	26.2	2.2	0.00%	177	45
133	Atlantic City-Hammonton, NJ	25.8	3.9	0.87%	149	16
134	Gadsden, AL	25.7	1.3	0.00%	141	7
135	Kingsport-Bristol-Bristol, TN-VA	25.6	3.6	0.93%	181	46
136	El Centro, CA	25.0	1.3	-4.88%	81	(55)
137	Texarkana, TX-AR	24.8	2.3	0.00%	130	(7)
138	Elmira, NY	24.6	1.4	-6.67%	91	(47)
139	Champaign-Urbana, IL	24.5	4.2	-1.57%	85	(54)
140	Lowell-Billerica-Chelmsford, MA-NH NECTA Div	24.4	3.7	0.91%	167	27
141	Leominster-Gardner, MA NECTA	24.1	1.6	2.13%	143	2
142	Decatur, AL	23.8	2.0	-1.67%	74	(68)
143	Johnstown, PA	23.7	2.7	0.00%	103	(40)
144	Waterbury, CT NECTA	23.2	2.0	0.00%	121	(23)
145	Rochester, MN	23.1	2.7	0.00%	98	(47)
146	Fayetteville, NC	23.0	3.8	-0.86%	119	(27)
147	Waterloo-Cedar Falls, IA	22.8	4.8	-2.70%	137	(10)
148	Huntington-Ashland, WV-KY-OH	22.6	6.9	-0.48%	154	6
149	Danville, IL	21.9	1.3	0.00%	171	22
150	Fairbanks, AK	21.5	1.2	0.00%	170	20
151	Utica-Rome, NY	21.0	7.0	-1.41%	106	(45)
152	Port St. Lucie, FL	20.6	5.2	-0.63%	94	(58)
153	Merced, CA	20.1	1.5	-4.26%	125	(28)
154	Saginaw, MI	19.6	3.6	-0.91%	153	(1)
155	Flint, MI	19.5	6.2	-1.06%	136	(19)
156	Santa Fe, NM	18.8	2.5	-1.33%	131	(25)
157	Morristown, TN	18.5	1.0	0.00%	104	(53)
158	Brockton-Bridgewater-Easton, MA NECTA Div	18.4	2.2	-8.33%	95	(63)
159	Taunton-Middleborough-Norton, MA NECTA Div	18.4	1.8	1.89%	178	19
160	Lawton, OK	18.2	2.2	-4.35%	175	15
161	Binghamton, NY	18.1	3.5	0.00%	162	1
162	Elkhart-Goshen, IN	17.0	2.7	0.00%	168	6
163	Fort Smith, AR-OK	16.6	3.7	-3.45%	124	(39)
164	Watertown-Fort Drum, NY	16.3	1.2	0.00%	179	15
165	Haverhill-Newburyport-Amesbury Town, MA-NH NECTA Div	15.0	2.0	-4.76%	156	(9)
166	Springfield, IL	14.1	6.7	-3.37%	159	(7)
167	Lynn-Saugus-Marblehead, MA NECTA Div	14.0	1.9	-1.72%	72	(95)
168	Dutchess County-Putnam County, NY Metro Div	13.2	4.8	-0.69%	173	5
169	Lewiston-Auburn, ME NECTA	12.9	2.2	-4.35%	45	(124)
170	Decatur, IL	12.6	1.8	-5.26%	117	(53)
171	Pueblo, CO	10.8	1.8	-5.36%	87	(84)
172	San Rafael, CA Metro Div	8.8	6.3	-4.06%	157	(15)
173	Monroe, MI	8.5	1.0	-3.23%	164	(9)
174	Mansfield, OH	4.6	1.4	-6.67%	128	(46)
175	Vineland-Bridgeton, NJ	3.5	1.3	-7.14%	158	(17)
176	Racine, WI	3.3	2.3	-5.41%	180	4

The U.S. Cities Creating The Most White-Collar Jobs, 2016

Joel Kotkin and Michael Shires — Fri, 22 Jul 2016 01:38:14 -0400

The information sector may have glamour and manufacturing, nostalgia appeal, but the real action in high-wage job growth in the United States is in the vast realm of professional and business services. This is not only the largest high-wage part of the economy, employing just under 20 million people at an average salary of $30 an hour, it’s also one the few high-wage sectors in which employment has expanded steadily since 2010, at more than 3% a year, adding nearly 3 million white-collar jobs.

In many ways, the business and professional service sector may be the best indicator of future U.S. economic growth. It is not nearly as vulnerable to disruption as energy, manufacturing or information employment, and more deeply integrated into the economy, including professions like administrative services and management, legal services, scientific research, and computer systems and design. In a pattern we have seen in other sectors, much of the growth is concentrated in two very different kinds of places: tech-rich metro areas and those that offer lower costs, and often more business-friendly atmospheres.

To generate our rankings of the best places for business services jobs, we looked at employment growth in the 366 metropolitan statistical areas for which BLS has complete data going back to 2005, weighting growth over the short-, medium- and long-term in that span, and factoring in momentum — whether growth is slowing or accelerating. (For a detailed description of our methodology, click here.)

Tech Strikes Again

There is a growing confluence between technology and business services, as more companies use the Internet to conduct commerce.

This can be seen in several of our top-ranked large cities. Business service employment in the San Francisco-Redwood City-South San Francisco MSA has grown a remarkable 45% since 2010, placing it second on our list, slightly faster than third-ranked Austin-Round Rock, which clocked 42% growth over the same span, and No. 4 San Jose-Sunnyvale-Santa Clara, where business services employment expanded 36%.

It’s questionable whether this pattern will continue, particularly in the high-cost Bay Area. There are signs of a slowdown in Silicon Valley and San Francisco, with more space being subleased and property prices seeming to have peaked, albeit at extraordinary high levels. In contrast the future for less expensive areas — increasingly attractive to millennials as well as companies — may be far brighter, as companies shift employment to places their employees can live decently.

Resurgence In Middle America

This pattern can be seen in the balance of our top-performing regions. It starts with our top-ranked metro area, Nashville, Tenn., which has seen business service employment grow 47.2% since 2010 to 152,700 jobs, with 7.7% growth last year alone. Some of this comes from the establishment of branch offices of Silicon Valley companies like Lyft and Everbright, as well as the expansion of the area’s strong health care and entertainment industries.

Nashville’s appeal to millennials is unsurpassed, with the strongest growth rate in net migration of college-educated people aged 25-34 of any metro area in the country, and the reasons are not hard to find. It’s a charming city located in a temperate part of the country, with both excellent, and affordable, urban and suburban options.

But if Nashville is the belle of the business service ball, fifth-ranked Dallas-Ft. Worth is now the beast. The Texas powerhouse’s business services workforce has expanded 28.9% since 2010 to 458,200. The Dallas-Ft. Worth area has plenty of appeal to big companies with a large cohort of middle-income managers, as a paper to be published this fall by Southern Methodist University’s Klaus Desmet and Cullum Clark well describes. These jobs pay well enough to live well in Dallas’ nicer suburbs, such as Plano and Frisco, but not remotely enough to buy a house, or even a condo, in Los Angeles, San Francisco or New York.

This accounts, in part, for the relocation of Toyota America’s headquarters from Torrance, Calif., to the north Dallas suburbs, and likely plays a role in the plans of Jacobs Engineering, a longtime fixture in Pasadena, to relocate its headquarters to downtown Dallas.

In many ways, argues urban analyst Aaron Renn, Dallas is becoming the new Chicago. It is anchored by a large airport, a diverse economy and a location in the middle of country. Even as downtown Chicago has attracted some notable new corporate headquarters in recent years, these generally employ relatively few people, while companies that need access to a large white-collar workforce, like Toyota and Jacobs, have been gravitating to the Big D.

How About The Big Boys?

As manufacturing has declined in our largest cities, professional and business services have become the prime generator of high-end jobs. Yet among the country’s largest business service centers there is a growing divergence between the winners and laggards.

The most impressive performance among metro areas with over 500,000 business and professional service jobs has been New York. With 714,000 business service jobs, the Big Apple is without question the leader in the field, but more importantly it continues to grow. Since 2010, New York has grown its professional and business service employment by an impressive 22%, helping it rank 14th on our list. This reflects the city’s continued preeminence in such fields as law, design, marketing, public relations and advertising.

But the other traditional business service leaders have not fared nearly as well. Gotham’s traditional rival, Chicago-Naperville-Arlington Heights, still has 673,000 business service jobs but has seen only a modest growth just under 15%, ranking 43rd. Whatever may have been gained in generally small scale “executive headquarters” has not been enough to make the vast Chicagoland region a big winner.

Things are even less positive in 60th place Los Angeles-Long Beach-Glendale, the third largest business service area. Since 2010, its 13.8% growth is well below the national average. Nor is the slack in the Southland being picked up by the area’s sprawling suburbs, with Santa Ana-Anaheim-Irvine ranking a modest 39th and San Bernardino-Riverside clocking in at 52nd. The Bay Area business services world may be still booming, but south of the Tehachapi, progress is slow.

Will Business Services Continue To Disperse?

Those who suggest dense concentrations have efficiencies that overcome higher costs can take some solace from our numbers, but not too much. Many of the fastest growing business service centers are hardly paragons of dense urbanism, including No. 7 Orlando-Kissimmee-Sanford, Fla., and No. 8 Richmond, Va., where employment jumped 10% last year. Even sprawling Atlanta, which has lost some of its ‘90s era luster, is now growing its business service sector at a faster pace than New York and light years ahead of much denser Chicago and Los Angeles. It ranks 13th.

The shift to less expensive places seems certain to continue, in part due to the growing role of Internet communications, which breaks down formerly insurmountable distance barriers. Looking at the full list of the 366 metro areas we examined, the fastest-growers include many smaller communities, led by overall No. 1 New Bedford, Mass., where business services employment has grown 58.5% since 2010 to 6,200 jobs, as well as No. 3 Monroe, Mich., No. 4 Lake Charles, La., and No. 6 Lawton, Okla.

Essentially business service growth seems destined to break down into three types: (1) large and expensive metro areas — San Francisco-Silicon Valley and New York — whose economic dynamism is strong enough to counter high costs; (2) less expensive, but still large metros such as Nashville, Dallas-Ft. Worth, Richmond and a host of Florida cities that can be expected to garner a lion’s share of the new growth; and (3) smaller communities where business service sector jobs, particularly at the lower end, may be increasingly attracted as employers pursue an affordable quality of life. While the short term has favored the largest cities, the long term is pointing toward more migration to midsized and smaller destinations.

This piece first appeared at Forbes.

Michael Shires, Ph.D. is a professor at Pepperdine University School of Public Policy.

Photograph: Downtown Nashville from BigStockPhoto.com

All Cities Business Services Jobs - 2016 Best Cities Rankings

Mark Schill — Thu, 21 Jul 2016 12:49:43 -0400

Read about how we selected the 2016 Best Cities for Job Growth

2016 MSA Prof & Bus Svcs - Overall Ranking	Area	2016 Prof & Bus Svcs Weighted INDEX	2015 Prof and Business Services Emplmt (1000s)	Total Prof and Business Services Emplmt Growth Rate 2014-2015	2016 MSA Size Group	2015 MSA Prof & Bus Svcs Overall Ranking	Overall Rank Change 2014-2015
1	New Bedford, MA NECTA	97.1	6.2	58.5%	S	5	4
2	Nashville-Davidson--Murfreesboro--Franklin, TN	96.9	152.7	47.2%	L	38	36
3	Monroe, MI	95.0	4.9	44.6%	S	12	9
4	Lake Charles, LA	94.8	9.7	44.6%	S	99	95
5	San Francisco-Redwood City-South San Francisco, CA Metro Div	93.1	270.5	45.7%	L	15	10
6	Lawton, OK	92.6	4.9	37.4%	S	288	282
7	Elizabethtown-Fort Knox, KY	92.3	6.9	35.5%	S	111	104
8	Austin-Round Rock, TX	91.1	165.6	42.3%	L	44	36
9	Janesville-Beloit, WI	90.3	6.5	44.8%	S	7	(2)
10	Jackson, TN	89.9	6.7	39.3%	S	4	(6)
11	Sioux Falls, SD	89.0	15.5	33.2%	M	250	239
12	St. George, UT	88.8	4.7	34.6%	S	183	171
13	College Station-Bryan, TX	88.5	8.3	38.3%	S	53	40
14	San Jose-Sunnyvale-Santa Clara, CA	88.5	223.0	36.4%	L	13	(1)
15	Trenton, NJ	88.2	45.0	25.1%	M	269	254
16	Fayetteville-Springdale-Rogers, AR-MO	87.5	48.1	38.2%	M	26	10
17	Napa, CA	86.6	6.9	34.2%	S	94	77
18	Provo-Orem, UT	85.7	29.6	34.3%	M	9	(9)
19	Cape Coral-Fort Myers, FL	84.8	34.1	38.4%	M	41	22
20	Springfield, OH	83.4	5.0	20.8%	S	23	3
21	Dallas-Plano-Irving, TX Metro Div	82.8	458.2	28.9%	L	45	24
22	Raleigh, NC	81.2	113.5	27.9%	L	22	0
23	Laredo, TX	80.9	8.6	31.5%	S	66	43
24	Deltona-Daytona Beach-Ormond Beach, FL	80.4	22.7	33.7%	M	35	11
25	Charlottesville, VA	80.3	15.1	24.5%	S	76	51
26	Orlando-Kissimmee-Sanford, FL	80.3	201.2	26.8%	L	143	117
27	Waco, TX	80.1	11.5	36.5%	S	10	(17)
28	Richmond, VA	80.1	112.3	18.9%	L	260	232
29	Charlotte-Concord-Gastonia, NC-SC	79.8	188.2	25.3%	L	62	33
30	Portland-Vancouver-Hillsboro, OR-WA	79.4	172.9	24.9%	L	81	51
31	Stockton-Lodi, CA	79.1	20.5	35.2%	M	194	163
32	Bend-Redmond, OR	79.0	8.2	26.3%	S	47	15
33	Greeley, CO	78.1	9.9	38.3%	S	18	(15)
34	Tampa-St. Petersburg-Clearwater, FL	77.9	226.3	26.3%	L	154	120
35	Morgantown, WV	77.8	6.6	25.2%	S	30	(5)
36	Louisville/Jefferson County, KY-IN	77.7	88.4	21.9%	L	86	50
37	Salisbury, MD-DE	77.7	12.5	24.2%	M	128	91
38	Des Moines-West Des Moines, IA	77.2	47.4	24.2%	M	69	31
39	Bismarck, ND	76.9	8.4	29.1%	S	82	43
40	Greenville-Anderson-Mauldin, SC	76.6	71.4	23.8%	M	65	25
41	Fargo, ND-MN	76.6	16.7	25.6%	S	139	98
42	Tuscaloosa, AL	76.5	11.2	40.2%	S	2	(40)
43	Atlanta-Sandy Springs-Roswell, GA	76.2	485.1	23.9%	L	67	24
44	New York City, NY	76.0	714.0	22.0%	L	120	76
45	Auburn-Opelika, AL	76.0	7.4	37.7%	S	1	(44)
46	Greensboro-High Point, NC	74.7	53.6	19.4%	M	57	11
47	Kansas City, MO	73.9	90.4	18.3%	L	204	157
48	Redding, CA	73.8	6.4	33.3%	S	31	(17)
49	Flagstaff, AZ	73.7	3.3	35.6%	S	42	(7)
50	Gadsden, AL	73.5	4.4	37.5%	S	28	(22)
51	Denver-Aurora-Lakewood, CO	73.3	254.1	23.4%	L	145	94
52	Chambersburg-Waynesboro, PA	73.1	5.8	17.7%	S	132	80
53	Pueblo, CO	73.0	7.1	20.2%	S	104	51
54	Manchester, NH NECTA	72.9	16.4	20.2%	S	46	(8)
55	Las Vegas-Henderson-Paradise, NV	72.9	126.1	25.0%	L	97	42
56	Ogden-Clearfield, UT	72.5	28.4	31.3%	M	36	(20)
57	Asheville, NC	72.4	18.4	20.8%	M	152	95
58	Seattle-Bellevue-Everett, WA Metro Div	72.2	244.4	22.1%	L	125	67
59	Chattanooga, TN-GA	71.8	29.6	29.9%	M	173	114
60	Corvallis, OR	71.7	4.3	15.0%	S	73	13
61	Memphis, TN-MS-AR	71.6	99.9	25.5%	L	80	19
62	Knoxville, TN	71.5	63.2	15.8%	M	79	17
63	Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metro Div	71.3	144.0	21.6%	L	109	46
64	Port St. Lucie, FL	71.3	16.6	29.7%	S	6	(58)
65	Bowling Green, KY	71.3	9.1	20.7%	S	211	146
66	San Luis Obispo-Paso Robles-Arroyo Grande, CA	71.1	12.4	24.7%	S	108	42
67	Fond du Lac, WI	70.8	2.9	24.3%	S	72	5
68	Reading, PA	70.5	23.9	21.1%	M	21	(47)
69	Prescott, AZ	70.5	4.4	42.4%	S	71	2
70	Indianapolis-Carmel-Anderson, IN	69.8	162.5	26.2%	L	103	33
71	Spokane-Spokane Valley, WA	69.8	25.5	17.7%	M	199	128
72	Gainesville, FL	69.7	13.1	22.1%	S	34	(38)
73	Burlington-South Burlington, VT NECTA	69.7	14.2	18.9%	S	107	34
74	West Palm Beach-Boca Raton-Delray Beach, FL Metro Div	69.2	108.3	28.2%	L	51	(23)
75	North Port-Sarasota-Bradenton, FL	69.2	41.4	40.7%	M	17	(58)
76	Dover, DE	69.0	4.7	16.7%	S	310	234
77	Springfield, MO	68.8	25.2	27.3%	M	49	(28)
78	Haverhill-Newburyport-Amesbury Town, MA-NH NECTA Div	68.5	5.6	17.6%	S	278	200
79	Baton Rouge, LA	68.5	49.7	19.5%	M	142	63
80	Macon, GA	68.3	12.9	24.0%	S	52	(28)
81	Olympia-Tumwater, WA	68.2	10.3	32.2%	S	129	48
82	Hartford-West Hartford-East Hartford, CT NECTA	67.6	73.1	19.2%	L	92	10
83	Ann Arbor, MI	67.3	29.9	16.2%	M	165	82
84	Salt Lake City, UT	66.8	118.5	23.8%	L	102	18
85	Lubbock, TX	66.8	12.1	15.6%	S	241	156
86	Framingham, MA NECTA Division	66.7	36.9	15.3%	M	215	129
87	Saginaw, MI	66.0	11.9	18.5%	S	61	(26)
88	Burlington, NC	65.7	5.7	21.4%	S	11	(77)
89	Winston-Salem, NC	65.6	35.3	18.4%	M	146	57
90	Yuba City, CA	65.6	3.2	26.3%	S	37	(53)
91	Salinas, CA	65.5	13.6	15.9%	S	29	(62)
92	Columbus, IN	65.4	5.4	27.6%	S	20	(72)
93	Reno, NV	65.3	29.8	21.5%	M	246	153
94	Salem, OR	65.2	13.5	25.5%	M	177	83
95	Tacoma-Lakewood, WA Metro Div	64.8	27.5	16.2%	M	186	91
96	Athens-Clarke County, GA	64.7	7.8	19.5%	S	208	112
97	San Antonio-New Braunfels, TX	64.7	125.3	20.4%	L	117	20
98	Jacksonville, FL	64.6	102.8	19.9%	L	93	(5)
99	Elkhart-Goshen, IN	64.3	10.0	36.2%	S	19	(80)
100	Middlesex-Monmouth-Ocean, NJ	64.3	152.0	16.6%	L	244	144
101	Phoenix-Mesa-Scottsdale, AZ	64.1	336.7	21.9%	L	151	50
102	Panama City, FL	64.1	10.3	29.3%	S	96	(6)
103	Madison, WI	63.7	49.8	18.7%	M	136	33
104	Crestview-Fort Walton Beach-Destin, FL	63.3	14.3	14.1%	S	265	161
105	Harrisburg-Carlisle, PA	63.1	47.5	15.7%	M	236	131
106	Miami-Miami Beach-Kendall, FL Metro Div	63.1	162.5	24.4%	L	77	(29)
107	Lexington-Fayette, KY	62.6	40.3	33.9%	M	55	(52)
108	Oakland-Hayward-Berkeley, CA Metro Div	62.6	182.9	18.6%	L	105	(3)
109	Brownsville-Harlingen, TX	62.5	12.0	17.3%	S	153	44
110	Santa Rosa, CA	62.4	21.7	16.5%	M	188	78
111	Wausau, WI	62.2	5.3	22.1%	S	58	(53)
112	Portsmouth, NH-ME NECTA	62.2	11.8	10.9%	S	307	195
113	Naples-Immokalee-Marco Island, FL	62.1	14.9	25.5%	S	24	(89)
114	Savannah, GA	62.0	20.2	15.2%	M	85	(29)
115	Providence-Warwick, RI-MA NECTA	62.0	70.1	19.3%	L	112	(3)
116	Charleston-North Charleston, SC	60.7	49.4	15.0%	M	114	(2)
117	Punta Gorda, FL	60.7	4.6	27.8%	S	118	1
118	Taunton-Middleborough-Norton, MA NECTA Division	60.5	6.4	11.7%	S	268	150
119	Texarkana, TX-AR	60.1	4.4	-1.5%	S	362	243
120	Boston-Cambridge-Newton, MA NECTA Division	60.1	340.4	16.7%	L	190	70
121	Springfield, IL	59.7	11.9	-3.3%	S	352	231
122	Columbus, OH	59.6	178.8	20.1%	L	89	(33)
123	Wilmington, NC	59.3	15.1	15.3%	S	137	14
124	Scranton--Wilkes-Barre--Hazleton, PA	59.1	30.2	17.2%	M	252	128
125	Camden, NJ Metro Div	58.9	78.8	11.0%	L	140	15
126	Warren-Troy-Farmington Hills, MI Metro Div	58.3	267.4	24.7%	L	141	15
127	Houston-The Woodlands-Sugar Land, TX	58.3	465.4	21.7%	L	100	(27)
128	Omaha-Council Bluffs, NE-IA	58.3	74.6	15.6%	L	232	104
129	Topeka, KS	58.2	12.8	22.3%	S	48	(81)
130	Delaware County, PA	57.6	32.4	13.7%	M	209	79
131	Rockford, IL	57.6	17.0	12.8%	M	83	(48)
132	Grants Pass, OR	57.3	2.1	26.5%	S	3	(129)
133	Yuma, AZ	57.0	6.7	14.3%	S	337	204
134	Logan, UT-ID	56.7	6.0	8.4%	S	291	157
135	Kansas City, KS	56.4	93.5	19.6%	L	78	(57)
136	Lakeland-Winter Haven, FL	56.3	29.3	18.0%	M	182	46
137	Ithaca, NY	55.6	3.4	9.7%	S	75	(62)
138	Waterloo-Cedar Falls, IA	55.4	7.7	19.7%	S	88	(50)
139	State College, PA	55.4	6.2	12.0%	S	167	28
140	Yakima, WA	55.2	4.2	7.6%	S	339	199
141	Wichita, KS	55.1	33.5	13.8%	M	113	(28)
142	Eugene, OR	55.1	17.0	15.9%	M	303	161
143	Springfield, MA-CT NECTA	55.0	26.8	14.6%	M	161	18
144	Kalamazoo-Portage, MI	54.6	16.5	16.4%	S	84	(60)
145	Huntsville, AL	54.5	52.4	6.9%	M	311	166
146	Bellingham, WA	54.1	7.9	13.9%	S	159	13
147	Dover-Durham, NH-ME NECTA	54.1	4.0	14.4%	S	193	46
148	Nashua, NH-MA NECTA Division	54.0	15.1	16.2%	S	235	87
149	Pensacola-Ferry Pass-Brent, FL	53.9	22.8	14.2%	M	149	0
150	Roanoke, VA	53.9	22.7	10.6%	M	301	151
151	Modesto, CA	53.4	14.4	18.7%	M	70	(81)
152	Owensboro, KY	53.2	3.9	12.4%	S	304	152
153	Kahului-Wailuku-Lahaina, HI	53.1	7.2	12.0%	S	156	3
154	South Bend-Mishawaka, IN-MI	53.0	13.6	13.4%	S	119	(35)
155	York-Hanover, PA	52.4	20.8	14.9%	M	98	(57)
156	Pocatello, ID	52.4	4.0	27.7%	S	133	(23)
157	Myrtle Beach-Conway-North Myrtle Beach, SC-NC	52.3	12.7	18.3%	M	91	(66)
158	Killeen-Temple, TX	52.2	9.9	4.6%	S	346	188
159	Muskegon, MI	52.0	3.8	27.0%	S	90	(69)
160	Amarillo, TX	51.9	9.6	14.2%	S	281	121
161	Lima, OH	51.9	4.9	24.4%	S	243	82
162	Bangor, ME NECTA	51.9	6.5	14.8%	S	87	(75)
163	Midland, TX	51.6	9.4	19.5%	S	101	(62)
164	Lincoln, NE	51.5	19.6	12.2%	M	316	152
165	Bay City, MI	51.3	3.5	12.8%	S	60	(105)
166	New Haven, CT NECTA	51.1	30.2	15.5%	M	172	6
167	Durham-Chapel Hill, NC	51.1	38.9	9.2%	M	290	123
168	Iowa City, IA	51.1	6.9	15.7%	S	59	(109)
169	Anaheim-Santa Ana-Irvine, CA Metro Div	50.8	288.3	16.1%	L	121	(48)
170	Clarksville, TN-KY	50.8	9.1	11.9%	S	150	(20)
171	Chico, CA	50.5	5.8	16.0%	S	122	(49)
172	Leominster-Gardner, MA NECTA	50.4	3.8	10.8%	S	216	44
173	Victoria, TX	50.3	2.6	4.0%	S	64	(109)
174	Lewiston-Auburn, ME NECTA	50.0	7.0	11.6%	S	203	29
175	Pittsburgh, PA	49.8	178.1	10.6%	L	267	92
176	Montgomery Co-Bucks Co-Chester Co, PA Metro Div	49.7	198.7	10.1%	L	262	86
177	Jackson, MS	49.6	33.1	16.0%	M	180	3
178	Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Div	49.5	604.6	7.7%	L	300	122
179	Columbia, SC	49.0	49.7	21.9%	M	231	52
180	Corpus Christi, TX	48.6	17.2	10.0%	M	324	144
181	Kingston, NY	48.5	4.6	15.8%	S	225	44
182	Atlantic City-Hammonton, NJ	48.4	10.0	4.9%	S	223	41
183	Santa Cruz-Watsonville, CA	48.3	10.0	8.3%	S	318	135
184	Spartanburg, SC	48.2	16.0	12.9%	S	163	(21)
185	Calvert-Charles-Prince George's, MD	48.1	49.6	5.8%	M	247	62
186	Kankakee, IL	47.9	3.4	6.2%	S	39	(147)
187	Chicago-Naperville-Arlington Heights, IL Metro Div	47.8	672.7	14.9%	L	162	(25)
188	Urban Honolulu, HI	47.8	67.9	15.1%	L	191	3
189	Madera, CA	47.6	2.9	7.5%	S	226	37
190	San Diego-Carlsbad, CA	47.5	234.4	12.7%	L	160	(30)
191	Portland-South Portland, ME NECTA	47.5	26.8	9.2%	M	270	79
192	El Paso, TX	47.2	33.1	5.5%	M	323	131
193	Sacramento--Roseville--Arden-Arcade, CA	46.9	120.0	17.5%	L	116	(77)
194	Colorado Springs, CO	46.6	43.3	8.4%	M	289	95
195	Northern Virginia, VA	46.5	387.2	4.5%	L	325	130
196	Danbury, CT NECTA	46.4	9.3	14.3%	S	124	(72)
197	Walla Walla, WA	46.4	1.0	11.1%	S	313	116
198	Minneapolis-St. Paul-Bloomington, MN-WI	46.1	303.7	12.0%	L	174	(24)
199	Hagerstown-Martinsburg, MD-WV	46.1	9.4	15.0%	S	184	(15)
200	Philadelphia City, PA	46.0	91.2	9.9%	L	237	37
201	Bloomsburg-Berwick, PA	45.6	4.2	17.8%	S	198	(3)
202	Augusta-Richmond County, GA-SC	45.6	33.8	8.0%	M	218	16
203	Boulder, CO	45.6	32.9	14.0%	M	205	2
204	Tucson, AZ	45.4	52.2	12.2%	M	292	88
205	St. Louis, MO-IL	45.1	206.8	9.9%	L	200	(5)
206	New Orleans-Metairie, LA	44.9	74.7	9.6%	L	242	36
207	McAllen-Edinburg-Mission, TX	44.6	16.1	10.6%	M	258	51
208	Idaho Falls, ID	44.5	12.7	-1.8%	S	297	89
209	Riverside-San Bernardino-Ontario, CA	44.1	145.2	14.9%	L	54	(155)
210	Peoria, IL	44.1	22.4	-0.4%	M	351	141
211	Fort Collins, CO	44.0	19.3	10.5%	M	238	27
212	Orange-Rockland-Westchester, NY	43.5	87.7	11.6%	L	234	22
213	Detroit-Dearborn-Livonia, MI Metro Div	43.4	126.4	14.8%	L	196	(17)
214	Dayton, OH	43.3	51.0	10.9%	M	213	(1)
215	Beaumont-Port Arthur, TX	43.2	14.8	6.7%	M	40	(175)
216	Fresno, CA	43.1	30.9	16.3%	M	27	(189)
217	San Rafael, CA Metro Div	43.0	19.1	6.9%	S	341	124
218	Barnstable Town, MA NECTA	42.9	8.6	9.8%	S	95	(123)
219	Fort Worth-Arlington, TX Metro Div	42.8	111.0	13.8%	L	131	(88)
220	Brockton-Bridgewater-Easton, MA NECTA Division	42.6	7.4	-0.9%	S	130	(90)
221	Toledo, OH	42.6	37.1	16.3%	M	263	42
222	Lafayette-West Lafayette, IN	42.2	7.5	10.8%	S	16	(206)
223	Fort Wayne, IN	41.9	21.6	1.7%	M	254	31
224	Newark, NJ-PA Metro Div	41.6	221.2	6.7%	L	306	82
225	Milwaukee-Waukesha-West Allis, WI	41.4	125.2	10.3%	L	229	4
226	Vallejo-Fairfield, CA	41.0	9.8	12.7%	S	272	46
227	St. Cloud, MN	41.0	8.8	6.0%	S	344	117
228	Kennewick-Richland, WA	40.9	21.4	-15.9%	S	333	105
229	Akron, OH	40.9	52.3	6.3%	M	285	56
230	East Stroudsburg, PA	40.6	3.5	-4.6%	S	329	99
231	Nassau County-Suffolk County, NY Metro Div	40.3	171.1	11.0%	L	256	25
232	Oshkosh-Neenah, WI	40.2	11.3	12.2%	S	157	(75)
233	Abilene, TX	40.2	5.6	0.6%	S	170	(63)
234	Morristown, TN	40.1	3.4	14.8%	S	178	(56)
235	Glens Falls, NY	39.8	5.8	11.5%	S	212	(23)
236	Fort Smith, AR-OK	39.8	11.9	8.8%	S	214	(22)
237	Kingsport-Bristol-Bristol, TN-VA	39.8	10.1	4.5%	S	127	(110)
238	Little Rock-North Little Rock-Conway, AR	39.7	46.2	6.0%	M	319	81
239	Oklahoma City, OK	39.4	80.6	7.2%	L	144	(95)
240	Sebastian-Vero Beach, FL	38.9	5.1	7.8%	S	166	(74)
241	Cleveland, TN	38.7	8.4	178.9%	S	33	(208)
242	Eau Claire, WI	38.6	9.1	-1.8%	S	282	40
243	Los Angeles-Long Beach-Glendale, CA Metro Div	38.5	609.6	13.8%	L	181	(62)
244	Birmingham-Hoover, AL	38.2	64.9	9.6%	L	192	(52)
245	Lansing-East Lansing, MI	38.2	22.0	7.3%	M	273	28
246	Niles-Benton Harbor, MI	37.9	5.6	-5.1%	S	271	25
247	Davenport-Moline-Rock Island, IA-IL	37.9	24.4	10.9%	M	274	27
248	Lancaster, PA	37.6	22.8	13.6%	M	50	(198)
249	Wilmington, DE-MD-NJ Metro Div	37.3	55.6	12.6%	M	228	(21)
250	Appleton, WI	37.3	13.3	6.4%	S	158	(92)
251	Cincinnati, OH-KY-IN	37.2	167.0	11.1%	L	147	(104)
252	Albany, OR	36.7	3.3	6.5%	S	230	(22)
253	Michigan City-La Porte, IN	36.7	2.8	10.4%	S	56	(197)
254	Bergen-Hudson-Passaic, NJ	36.1	142.3	8.2%	L	275	21
255	Lake Havasu City-Kingman, AZ	36.0	3.5	-1.9%	S	25	(230)
256	Monroe, LA	35.6	7.9	7.3%	S	221	(35)
257	Santa Fe, NM	35.6	4.6	2.2%	S	348	91
258	Visalia-Porterville, CA	35.3	9.8	7.3%	S	338	80
259	Baltimore City, MD	35.3	46.3	20.4%	M	155	(104)
260	Lake County-Kenosha County, IL-WI Metro Div	34.9	67.3	13.0%	M	202	(58)
261	Rapid City, SD	34.8	5.0	4.2%	S	276	15
262	Elmira, NY	34.8	2.7	5.3%	S	123	(139)
263	Tallahassee, FL	34.6	19.3	5.5%	M	195	(68)
264	Battle Creek, MI	34.4	6.2	-1.6%	S	106	(158)
265	Longview, TX	34.3	8.9	1.5%	S	197	(68)
266	Ocala, FL	34.3	9.3	17.2%	S	63	(203)
267	Mobile, AL	34.3	22.5	-1.5%	M	335	68
268	Grand Forks, ND-MN	34.2	3.0	-2.2%	S	207	(61)
269	Grand Rapids-Wyoming, MI	34.0	74.2	9.9%	L	68	(201)
270	Johnson City, TN	33.8	8.2	-1.2%	S	189	(81)
271	Huntington-Ashland, WV-KY-OH	33.8	12.1	5.5%	S	164	(107)
272	Boise City, ID	33.3	41.1	8.3%	M	308	36
273	Great Falls, MT	32.5	3.1	-4.1%	S	347	74
274	Altoona, PA	32.2	5.5	8.6%	S	175	(99)
275	Peabody-Salem-Beverly, MA NECTA Division	31.7	9.9	8.8%	S	296	21
276	Danville, IL	31.7	2.0	-4.8%	S	305	29
277	Cleveland-Elyria, OH	31.6	147.2	10.1%	L	220	(57)
278	Columbus, GA-AL	31.6	13.2	0.8%	S	342	64
279	Virginia Beach-Norfolk-Newport News, VA-NC	31.6	103.9	5.9%	L	264	(15)
280	Fairbanks, AK	30.8	2.2	-5.6%	S	298	18
281	Dalton, GA	30.7	6.1	-10.2%	S	185	(96)
282	Medford, OR	30.6	7.0	6.1%	S	148	(134)
283	Lafayette, LA	30.5	21.7	6.9%	M	283	0
284	Rochester, NY	30.4	66.0	6.5%	L	286	2
285	Pittsfield, MA NECTA	30.4	3.8	5.6%	S	317	32
286	Greenville, NC	30.2	6.8	10.9%	S	110	(176)
287	Grand Junction, CO	30.0	5.3	6.7%	S	251	(36)
288	Fayetteville, NC	29.9	12.5	-9.0%	S	349	61
289	Weirton-Steubenville, WV-OH	29.6	1.9	1.8%	S	261	(28)
290	Gary, IN Metro Div	29.6	22.3	9.3%	M	126	(164)
291	Elgin, IL Metro Div	29.3	34.9	18.4%	M	138	(153)
292	Evansville, IN-KY	29.0	18.1	1.5%	M	179	(113)
293	Santa Maria-Santa Barbara, CA	29.0	22.4	5.7%	M	222	(71)
294	Decatur, IL	28.2	3.2	-17.4%	S	361	67
295	Cedar Rapids, IA	28.1	13.6	0.5%	S	353	58
296	Terre Haute, IN	28.0	5.5	2.5%	S	343	47
297	Johnstown, PA	27.6	5.7	1.2%	S	253	(44)
298	Erie, PA	27.2	10.1	-5.0%	S	201	(97)
299	Tyler, TX	27.1	8.5	-3.0%	S	171	(128)
300	Silver Spring-Frederick-Rockville, MD Metro Div	27.0	124.3	-0.5%	L	336	36
301	Hanford-Corcoran, CA	27.0	1.3	5.4%	S	233	(68)
302	Allentown-Bethlehem-Easton, PA-NJ	26.9	47.5	4.6%	M	245	(57)
303	Jackson, MI	26.9	4.1	8.0%	S	345	42
304	Bremerton-Silverdale, WA	26.9	7.1	-4.5%	S	321	17
305	Bakersfield, CA	26.8	25.4	4.1%	M	299	(6)
306	Albany-Schenectady-Troy, NY	26.7	52.3	3.2%	L	332	26
307	Charleston, WV	26.7	14.4	2.1%	S	302	(5)
308	Duluth, MN-WI	26.4	8.0	0.4%	S	248	(60)
309	Lynn-Saugus-Marblehead, MA NECTA Division	26.3	2.7	8.1%	S	8	(301)
310	Lowell-Billerica-Chelmsford, MA-NH NECTA Division	26.0	20.8	-2.8%	S	240	(70)
311	Flint, MI	26.0	15.5	4.0%	S	134	(177)
312	Rocky Mount, NC	25.6	5.5	-13.2%	S	334	22
313	Montgomery, AL	25.5	20.5	1.0%	M	169	(144)
314	Norwich-New London-Westerly, CT-RI NECTA	25.3	8.9	-2.9%	S	279	(35)
315	Racine, WI	25.1	6.4	1.1%	S	287	(28)
316	Hickory-Lenoir-Morganton, NC	24.8	13.2	3.9%	S	32	(284)
317	Palm Bay-Melbourne-Titusville, FL	24.8	29.5	-8.6%	M	280	(37)
318	Albuquerque, NM	24.3	57.6	-0.9%	M	312	(6)
319	Canton-Massillon, OH	23.9	14.1	2.2%	M	168	(151)
320	Anchorage, AK	23.6	20.0	0.5%	M	340	20
321	Lawrence-Methuen Town-Salem, MA-NH NECTA Division	23.4	10.1	-2.6%	S	331	10
322	Las Cruces, NM	23.4	7.0	-6.3%	S	315	(7)
323	Tulsa, OK	23.3	57.5	6.1%	M	219	(104)
324	San Angelo, TX	23.3	3.8	6.5%	S	239	(85)
325	El Centro, CA	23.1	2.2	-13.2%	S	356	31
326	Sheboygan, WI	23.0	4.3	4.0%	S	277	(49)
327	Waterbury, CT NECTA	22.8	5.2	9.1%	S	115	(212)
328	Lawrence, KS	22.7	5.2	6.9%	S	74	(254)
329	Florence-Muscle Shoals, AL	22.4	4.0	-11.2%	S	328	(1)
330	Watertown-Fort Drum, NY	22.1	2.2	-3.0%	S	358	28
331	Sherman-Denison, TX	22.0	2.9	4.8%	S	14	(317)
332	Bridgeport-Stamford-Norwalk, CT NECTA	22.0	64.9	2.7%	M	294	(38)
333	Green Bay, WI	21.7	20.0	1.5%	M	320	(13)
334	Youngstown-Warren-Boardman, OH-PA	21.6	21.9	3.6%	M	259	(75)
335	Odessa, TX	21.3	4.2	-1.6%	S	43	(292)
336	Rochester, MN	21.3	5.5	8.5%	S	224	(112)
337	Missoula, MT	21.2	6.2	-11.5%	S	255	(82)
338	Vineland-Bridgeton, NJ	20.4	3.6	1.9%	S	364	26
339	Champaign-Urbana, IL	20.1	7.8	1.7%	S	266	(73)
340	Oxnard-Thousand Oaks-Ventura, CA	19.6	34.5	3.5%	M	309	(31)
341	Decatur, AL	19.2	5.4	3.2%	S	284	(57)
342	Casper, WY	19.2	2.9	3.6%	S	227	(115)
343	Worcester, MA-CT NECTA	18.4	25.9	-2.3%	M	249	(94)
344	Cheyenne, WY	18.2	3.2	2.2%	S	135	(209)
345	Buffalo-Cheektowaga-Niagara Falls, NY	17.9	69.0	-2.8%	L	330	(15)
346	Dothan, AL	17.8	4.3	-12.2%	S	176	(170)
347	Mansfield, OH	17.0	5.1	-9.4%	S	187	(160)
348	Lewiston, ID-WA	16.8	1.3	-11.6%	S	360	12
349	Binghamton, NY	16.8	9.2	3.4%	S	210	(139)
350	Coeur d'Alene, ID	16.7	6.0	-6.3%	S	206	(144)
351	Shreveport-Bossier City, LA	16.3	17.0	-5.4%	M	257	(94)
352	Dutchess County-Putnam County, NY Metro Div	16.1	11.5	-7.0%	S	350	(2)
353	Utica-Rome, NY	16.1	8.2	-7.2%	S	363	10
354	Lynchburg, VA	16.1	11.9	-7.0%	S	295	(59)
355	Sioux City, IA-NE-SD	16.0	7.8	-12.4%	S	355	0
356	Carson City, NV	11.6	1.9	-5.1%	S	217	(139)
357	Wichita Falls, TX	11.6	3.7	-13.4%	S	326	(31)
358	La Crosse-Onalaska, WI-MN	11.0	6.0	-6.7%	S	314	(44)
359	Bloomington, IL	10.4	9.7	-11.3%	S	357	(2)
360	Bloomington, IN	10.2	4.4	-26.4%	S	366	6
361	Sierra Vista-Douglas, AZ	10.2	3.8	-32.4%	S	293	(68)
362	Gulfport-Biloxi-Pascagoula, MS	10.0	14.9	-14.2%	M	359	(3)
363	Billings, MT	10.0	8.2	-6.8%	S	327	(36)
364	Syracuse, NY	9.4	31.1	-6.3%	M	322	(42)
365	Merced, CA	8.1	3.5	-15.2%	S	354	(11)
366	Anniston-Oxford-Jacksonville, AL	7.0	4.4	-21.3%	S	365	(1)

Large Cities Business Services Jobs - 2016 Best Cities Rankings

Mark Schill — Thu, 21 Jul 2016 12:49:36 -0400

Read about how we selected the 2016 Best Cities for Job Growth

2016 MSA Prof & Bus Svcs Ranking among Large MSAs	Area	2016 Prof & Bus Svcs Weighted INDEX	2015 Prof and Business Services Emplmt (1000s)	Total Prof and Business Services Emplmt Growth Rate 2014-2015	2015 MSA Prof & Bus Svcs Ranking among Small MSAs	Overall Rank Change 2014-2015
1	Nashville-Davidson--Murfreesboro--Franklin, TN	96.9	152.7	47.2%	4	3
2	San Francisco-Redwood City-South San Francisco, CA Metro Div	93.1	270.5	45.7%	2	0
3	Austin-Round Rock, TX	91.1	165.6	42.3%	5	2
4	San Jose-Sunnyvale-Santa Clara, CA	88.5	223.0	36.4%	1	(3)
5	Dallas-Plano-Irving, TX Metro Div	82.8	458.2	28.9%	6	1
6	Raleigh, NC	81.2	113.5	27.9%	3	(3)
7	Orlando-Kissimmee-Sanford, FL	80.3	201.2	26.8%	35	28
8	Richmond, VA	80.1	112.3	18.9%	59	51
9	Charlotte-Concord-Gastonia, NC-SC	79.8	188.2	25.3%	9	0
10	Portland-Vancouver-Hillsboro, OR-WA	79.4	172.9	24.9%	15	5
11	Tampa-St. Petersburg-Clearwater, FL	77.9	226.3	26.3%	40	29
12	Louisville/Jefferson County, KY-IN	77.7	88.4	21.9%	16	4
13	Atlanta-Sandy Springs-Roswell, GA	76.2	485.1	23.9%	10	(3)
14	New York City, NY	76.0	714.0	22.0%	29	15
15	Kansas City, MO	73.9	90.4	18.3%	50	35
16	Denver-Aurora-Lakewood, CO	73.3	254.1	23.4%	37	21
17	Las Vegas-Henderson-Paradise, NV	72.9	126.1	25.0%	20	3
18	Seattle-Bellevue-Everett, WA Metro Div	72.2	244.4	22.1%	31	13
19	Memphis, TN-MS-AR	71.6	99.9	25.5%	14	(5)
20	Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metro Div	71.3	144.0	21.6%	25	5
21	Indianapolis-Carmel-Anderson, IN	69.8	162.5	26.2%	23	2
22	West Palm Beach-Boca Raton-Delray Beach, FL Metro Div	69.2	108.3	28.2%	7	(15)
23	Hartford-West Hartford-East Hartford, CT NECTA	67.6	73.1	19.2%	18	(5)
24	Salt Lake City, UT	66.8	118.5	23.8%	22	(2)
25	San Antonio-New Braunfels, TX	64.7	125.3	20.4%	28	3
26	Jacksonville, FL	64.6	102.8	19.9%	19	(7)
27	Middlesex-Monmouth-Ocean, NJ	64.3	152.0	16.6%	57	30
28	Phoenix-Mesa-Scottsdale, AZ	64.1	336.7	21.9%	39	11
29	Miami-Miami Beach-Kendall, FL Metro Div	63.1	162.5	24.4%	12	(17)
30	Oakland-Hayward-Berkeley, CA Metro Div	62.6	182.9	18.6%	24	(6)
31	Providence-Warwick, RI-MA NECTA	62.0	70.1	19.3%	26	(5)
32	Boston-Cambridge-Newton, MA NECTA Division	60.1	340.4	16.7%	45	13
33	Columbus, OH	59.6	178.8	20.1%	17	(16)
34	Camden, NJ Metro Div	58.9	78.8	11.0%	33	(1)
35	Warren-Troy-Farmington Hills, MI Metro Div	58.3	267.4	24.7%	34	(1)
36	Houston-The Woodlands-Sugar Land, TX	58.3	465.4	21.7%	21	(15)
37	Omaha-Council Bluffs, NE-IA	58.3	74.6	15.6%	53	16
38	Kansas City, KS	56.4	93.5	19.6%	13	(25)
39	Anaheim-Santa Ana-Irvine, CA Metro Div	50.8	288.3	16.1%	30	(9)
40	Pittsburgh, PA	49.8	178.1	10.6%	62	22
41	Montgomery Cnty-Bucks Cnty-Chester Cnty, PA Metro Div	49.7	198.7	10.1%	60	19
42	Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Div	49.5	604.6	7.7%	65	23
43	Chicago-Naperville-Arlington Heights, IL Metro Div	47.8	672.7	14.9%	42	(1)
44	Urban Honolulu, HI	47.8	67.9	15.1%	46	2
45	San Diego-Carlsbad, CA	47.5	234.4	12.7%	41	(4)
46	Sacramento--Roseville--Arden-Arcade, CA	46.9	120.0	17.5%	27	(19)
47	Northern Virginia, VA	46.5	387.2	4.5%	67	20
48	Minneapolis-St. Paul-Bloomington, MN-WI	46.1	303.7	12.0%	43	(5)
49	Philadelphia City, PA	46.0	91.2	9.9%	55	6
50	St. Louis, MO-IL	45.1	206.8	9.9%	49	(1)
51	New Orleans-Metairie, LA	44.9	74.7	9.6%	56	5
52	Riverside-San Bernardino-Ontario, CA	44.1	145.2	14.9%	8	(44)
53	Orange-Rockland-Westchester, NY	43.5	87.7	11.6%	54	1
54	Detroit-Dearborn-Livonia, MI Metro Div	43.4	126.4	14.8%	48	(6)
55	Fort Worth-Arlington, TX Metro Div	42.8	111.0	13.8%	32	(23)
56	Newark, NJ-PA Metro Div	41.6	221.2	6.7%	66	10
57	Milwaukee-Waukesha-West Allis, WI	41.4	125.2	10.3%	52	(5)
58	Nassau County-Suffolk County, NY Metro Div	40.3	171.1	11.0%	58	0
59	Oklahoma City, OK	39.4	80.6	7.2%	36	(23)
60	Los Angeles-Long Beach-Glendale, CA Metro Div	38.5	609.6	13.8%	44	(16)
61	Birmingham-Hoover, AL	38.2	64.9	9.6%	47	(14)
62	Cincinnati, OH-KY-IN	37.2	167.0	11.1%	38	(24)
63	Bergen-Hudson-Passaic, NJ	36.1	142.3	8.2%	63	0
64	Grand Rapids-Wyoming, MI	34.0	74.2	9.9%	11	(53)
65	Cleveland-Elyria, OH	31.6	147.2	10.1%	51	(14)
66	Virginia Beach-Norfolk-Newport News, VA-NC	31.6	103.9	5.9%	61	(5)
67	Rochester, NY	30.4	66.0	6.5%	64	(3)
68	Silver Spring-Frederick-Rockville, MD Metro Div	27.0	124.3	-0.5%	70	2
69	Albany-Schenectady-Troy, NY	26.7	52.3	3.2%	69	0
70	Buffalo-Cheektowaga-Niagara Falls, NY	17.9	69.0	-2.8%	68	(2)

Mid Sized Cities Business Services Jobs - 2016 Best Cities Rankings

Mark Schill — Thu, 21 Jul 2016 12:49:30 -0400

Read about how we selected the 2016 Best Cities for Job Growth

2016 MSA Prof & Bus Svcs Ranking among Midsized MSAs	Area	2016 Prof & Bus Svcs Weighted INDEX	2015 Prof and Business Services Emplmt (1000s)	Total Prof and Business Services Emplmt Growth Rate 2014-2015	2015 MSA Prof & Bus Svcs Ranking among Small MSAs	Overall Rank Change 2014-2015
1	Sioux Falls, SD	89.0	15.5	33.2%	61	60
2	Trenton, NJ	88.2	45.0	25.1%	67	65
3	Fayetteville-Springdale-Rogers, AR-MO	87.5	48.1	38.2%	4	1
4	Provo-Orem, UT	85.7	29.6	34.3%	1	(3)
5	Cape Coral-Fort Myers, FL	84.8	34.1	38.4%	9	4
6	Deltona-Daytona Beach-Ormond Beach, FL	80.4	22.7	33.7%	6	0
7	Stockton-Lodi, CA	79.1	20.5	35.2%	43	36
8	Salisbury, MD-DE	77.7	12.5	24.2%	24	16
9	Des Moines-West Des Moines, IA	77.2	47.4	24.2%	15	6
10	Greenville-Anderson-Mauldin, SC	76.6	71.4	23.8%	14	4
11	Greensboro-High Point, NC	74.7	53.6	19.4%	13	2
12	Ogden-Clearfield, UT	72.5	28.4	31.3%	7	(5)
13	Asheville, NC	72.4	18.4	20.8%	29	16
14	Chattanooga, TN-GA	71.8	29.6	29.9%	36	22
15	Knoxville, TN	71.5	63.2	15.8%	17	2
16	Reading, PA	70.5	23.9	21.1%	3	(13)
17	Spokane-Spokane Valley, WA	69.8	25.5	17.7%	45	28
18	North Port-Sarasota-Bradenton, FL	69.2	41.4	40.7%	2	(16)
19	Springfield, MO	68.8	25.2	27.3%	10	(9)
20	Baton Rouge, LA	68.5	49.7	19.5%	26	6
21	Ann Arbor, MI	67.3	29.9	16.2%	32	11
22	Framingham, MA NECTA Division	66.7	36.9	15.3%	50	28
23	Winston-Salem, NC	65.6	35.3	18.4%	27	4
24	Reno, NV	65.3	29.8	21.5%	58	34
25	Salem, OR	65.2	13.5	25.5%	37	12
26	Tacoma-Lakewood, WA Metro Div	64.8	27.5	16.2%	41	15
27	Madison, WI	63.7	49.8	18.7%	24	(3)
28	Harrisburg-Carlisle, PA	63.1	47.5	15.7%	56	28
29	Lexington-Fayette, KY	62.6	40.3	33.9%	12	(17)
30	Santa Rosa, CA	62.4	21.7	16.5%	42	12
31	Savannah, GA	62.0	20.2	15.2%	19	(12)
32	Charleston-North Charleston, SC	60.7	49.4	15.0%	22	(10)
33	Scranton--Wilkes-Barre--Hazleton, PA	59.1	30.2	17.2%	61	28
34	Delaware County, PA	57.6	32.4	13.7%	48	14
35	Rockford, IL	57.6	17.0	12.8%	18	(17)
36	Lakeland-Winter Haven, FL	56.3	29.3	18.0%	40	4
37	Wichita, KS	55.1	33.5	13.8%	21	(16)
38	Eugene, OR	55.1	17.0	15.9%	80	42
39	Springfield, MA-CT NECTA	55.0	26.8	14.6%	31	(8)
40	Huntsville, AL	54.5	52.4	6.9%	82	42
41	Pensacola-Ferry Pass-Brent, FL	53.9	22.8	14.2%	28	(13)
42	Roanoke, VA	53.9	22.7	10.6%	79	37
43	Modesto, CA	53.4	14.4	18.7%	16	(27)
44	York-Hanover, PA	52.4	20.8	14.9%	20	(24)
45	Myrtle Beach-Conway-North Myrtle Beach, SC-NC	52.3	12.7	18.3%	20	(25)
46	Lincoln, NE	51.5	19.6	12.2%	84	38
47	New Haven, CT NECTA	51.1	30.2	15.5%	35	(12)
48	Durham-Chapel Hill, NC	51.1	38.9	9.2%	75	27
49	Jackson, MS	49.6	33.1	16.0%	39	(10)
50	Columbia, SC	49.0	49.7	21.9%	55	5
51	Corpus Christi, TX	48.6	17.2	10.0%	89	38
52	Calvert-Charles-Prince George's, MD	48.1	49.6	5.8%	59	7
53	Portland-South Portland, ME NECTA	47.5	26.8	9.2%	68	15
54	El Paso, TX	47.2	33.1	5.5%	88	34
55	Colorado Springs, CO	46.6	43.3	8.4%	74	19
56	Augusta-Richmond County, GA-SC	45.6	33.8	8.0%	51	(5)
57	Boulder, CO	45.6	32.9	14.0%	47	(10)
58	Tucson, AZ	45.4	52.2	12.2%	76	18
59	McAllen-Edinburg-Mission, TX	44.6	16.1	10.6%	64	5
60	Peoria, IL	44.1	22.4	-0.4%	92	32
61	Fort Collins, CO	44.0	19.3	10.5%	57	(4)
62	Dayton, OH	43.3	51.0	10.9%	49	(13)
63	Beaumont-Port Arthur, TX	43.2	14.8	6.7%	8	(55)
64	Fresno, CA	43.1	30.9	16.3%	5	(59)
65	Toledo, OH	42.6	37.1	16.3%	66	1
66	Fort Wayne, IN	41.9	21.6	1.7%	62	(4)
67	Akron, OH	40.9	52.3	6.3%	73	6
68	Little Rock-North Little Rock-Conway, AR	39.7	46.2	6.0%	85	17
69	Lansing-East Lansing, MI	38.2	22.0	7.3%	69	0
70	Davenport-Moline-Rock Island, IA-IL	37.9	24.4	10.9%	70	0
71	Lancaster, PA	37.6	22.8	13.6%	11	(60)
72	Wilmington, DE-MD-NJ Metro Div	37.3	55.6	12.6%	54	(18)
73	Baltimore City, MD	35.3	46.3	20.4%	30	(43)
74	Lake County-Kenosha County, IL-WI Metro Div	34.9	67.3	13.0%	46	(28)
75	Tallahassee, FL	34.6	19.3	5.5%	44	(31)
76	Mobile, AL	34.3	22.5	-1.5%	90	14
77	Boise City, ID	33.3	41.1	8.3%	80	3
78	Lafayette, LA	30.5	21.7	6.9%	72	(6)
79	Gary, IN Metro Div	29.6	22.3	9.3%	23	(56)
80	Elgin, IL Metro Div	29.3	34.9	18.4%	25	(55)
81	Evansville, IN-KY	29.0	18.1	1.5%	38	(43)
82	Santa Maria-Santa Barbara, CA	29.0	22.4	5.7%	53	(29)
83	Allentown-Bethlehem-Easton, PA-NJ	26.9	47.5	4.6%	57	(26)
84	Bakersfield, CA	26.8	25.4	4.1%	78	(6)
85	Montgomery, AL	25.5	20.5	1.0%	34	(51)
86	Palm Bay-Melbourne-Titusville, FL	24.8	29.5	-8.6%	71	(15)
87	Albuquerque, NM	24.3	57.6	-0.9%	83	(4)
88	Canton-Massillon, OH	23.9	14.1	2.2%	33	(55)
89	Anchorage, AK	23.6	20.0	0.5%	91	2
90	Tulsa, OK	23.3	57.5	6.1%	52	(38)
91	Bridgeport-Stamford-Norwalk, CT NECTA	22.0	64.9	2.7%	77	(14)
92	Green Bay, WI	21.7	20.0	1.5%	86	(6)
93	Youngstown-Warren-Boardman, OH-PA	21.6	21.9	3.6%	65	(28)
94	Oxnard-Thousand Oaks-Ventura, CA	19.6	34.5	3.5%	81	(13)
95	Worcester, MA-CT NECTA	18.4	25.9	-2.3%	60	(35)
96	Shreveport-Bossier City, LA	16.3	17.0	-5.4%	63	(33)
97	Gulfport-Biloxi-Pascagoula, MS	10.0	14.9	-14.2%	93	(4)
98	Syracuse, NY	9.4	31.1	-6.3%	87	(11)

Small Cities Business Services Jobs - 2016 Best Cities Rankings

Mark Schill — Thu, 21 Jul 2016 12:49:20 -0400

Read about how we selected the 2016 Best Cities for Job Growth

2016 MSA Prof & Bus Svcs Ranking among Small MSAs	Area	2016 Prof & Bus Svcs Weighted INDEX	2015 Prof and Business Services Emplmt (1000s)	Total Prof and Business Services Emplmt Growth Rate 2014-2015	2015 MSA Prof & Bus Svcs Ranking among Small MSAs	Overall Rank Change 2014-2015
1	New Bedford, MA NECTA	97.1	6.2	6.3%	5	4
2	Monroe, MI	95.0	4.9	11.5%	11	9
3	Lake Charles, LA	94.8	9.7	5.8%	59	56
4	Lawton, OK	92.6	4.9	8.9%	151	147
5	Elizabethtown-Fort Knox, KY	92.3	6.9	10.8%	66	61
6	Janesville-Beloit, WI	90.3	6.5	9.0%	7	1
7	Jackson, TN	89.9	6.7	4.1%	4	(3)
8	St. George, UT	88.8	4.7	10.2%	99	91
9	College Station-Bryan, TX	88.5	8.3	6.0%	35	26
10	Napa, CA	86.6	6.9	3.5%	56	46
11	Springfield, OH	83.4	5.0	8.6%	17	6
12	Laredo, TX	80.9	8.6	5.3%	43	31
13	Charlottesville, VA	80.3	15.1	5.9%	49	36
14	Waco, TX	80.1	11.5	-4.4%	9	(5)
15	Bend-Redmond, OR	79.0	8.2	5.6%	32	17
16	Greeley, CO	78.1	9.9	-0.3%	14	(2)
17	Morgantown, WV	77.8	6.6	2.1%	22	5
18	Bismarck, ND	76.9	8.4	3.3%	50	32
19	Fargo, ND-MN	76.6	16.7	5.0%	82	63
20	Tuscaloosa, AL	76.5	11.2	-2.0%	2	(18)
21	Auburn-Opelika, AL	76.0	7.4	-1.8%	1	(20)
22	Redding, CA	73.8	6.4	9.1%	23	1
23	Flagstaff, AZ	73.7	3.3	10.0%	29	6
24	Gadsden, AL	73.5	4.4	6.5%	20	(4)
25	Chambersburg-Waynesboro, PA	73.1	5.8	0.6%	77	52
26	Pueblo, CO	73.0	7.1	3.4%	61	35
27	Manchester, NH NECTA	72.9	16.4	2.7%	31	4
28	Corvallis, OR	71.7	4.3	4.0%	46	18
29	Port St. Lucie, FL	71.3	16.6	2.5%	6	(23)
30	Bowling Green, KY	71.3	9.1	4.6%	113	83
31	San Luis Obispo-Paso Robles-Arroyo Grande, CA	71.1	12.4	3.0%	64	33
32	Fond du Lac, WI	70.8	2.9	4.8%	45	13
33	Prescott, AZ	70.5	4.4	14.9%	44	11
34	Gainesville, FL	69.7	13.1	3.2%	26	(8)
35	Burlington-South Burlington, VT NECTA	69.7	14.2	4.1%	63	28
36	Dover, DE	69.0	4.7	8.5%	163	127
37	Haverhill-Newburyport-Amesbury Town, MA-NH NECTA Division	68.5	5.6	4.4%	145	108
38	Macon, GA	68.3	12.9	7.5%	34	(4)
39	Olympia-Tumwater, WA	68.2	10.3	0.3%	75	36
40	Lubbock, TX	66.8	12.1	8.7%	130	90
41	Saginaw, MI	66.0	11.9	3.5%	40	(1)
42	Burlington, NC	65.7	5.7	2.4%	10	(32)
43	Yuba City, CA	65.6	3.2	12.9%	27	(16)
44	Salinas, CA	65.5	13.6	14.2%	21	(23)
45	Columbus, IN	65.4	5.4	0.6%	16	(29)
46	Athens-Clarke County, GA	64.7	7.8	4.0%	111	65
47	Elkhart-Goshen, IN	64.3	10.0	2.0%	15	(32)
48	Panama City, FL	64.1	10.3	-1.9%	58	10
49	Crestview-Fort Walton Beach-Destin, FL	63.3	14.3	5.7%	138	89
50	Brownsville-Harlingen, TX	62.5	12.0	5.9%	85	35
51	Wausau, WI	62.2	5.3	1.3%	37	(14)
52	Portsmouth, NH-ME NECTA	62.2	11.8	4.7%	162	110
53	Naples-Immokalee-Marco Island, FL	62.1	14.9	0.9%	18	(35)
54	Punta Gorda, FL	60.7	4.6	2.2%	68	14
55	Taunton-Middleborough-Norton, MA NECTA Division	60.5	6.4	1.6%	140	85
56	Texarkana, TX-AR	60.1	4.4	5.6%	199	143
57	Springfield, IL	59.7	11.9	6.6%	190	133
58	Wilmington, NC	59.3	15.1	2.7%	81	23
59	Topeka, KS	58.2	12.8	-2.0%	33	(26)
60	Grants Pass, OR	57.3	2.1	0.0%	3	(57)
61	Yuma, AZ	57.0	6.7	-3.4%	177	116
62	Logan, UT-ID	56.7	6.0	7.1%	152	90
63	Ithaca, NY	55.6	3.4	0.0%	48	(15)
64	Waterloo-Cedar Falls, IA	55.4	7.7	1.3%	53	(11)
65	State College, PA	55.4	6.2	5.1%	93	28
66	Yakima, WA	55.2	4.2	16.5%	179	113
67	Kalamazoo-Portage, MI	54.6	16.5	3.3%	51	(16)
68	Bellingham, WA	54.1	7.9	-0.4%	89	21
69	Dover-Durham, NH-ME NECTA	54.1	4.0	3.5%	104	35
70	Nashua, NH-MA NECTA Division	54.0	15.1	-1.3%	126	56
71	Owensboro, KY	53.2	3.9	2.6%	160	89
72	Kahului-Wailuku-Lahaina, HI	53.1	7.2	2.9%	86	14
73	South Bend-Mishawaka, IN-MI	53.0	13.6	4.1%	69	(4)
74	Pocatello, ID	52.4	4.0	5.3%	78	4
75	Killeen-Temple, TX	52.2	9.9	4.9%	185	110
76	Muskegon, MI	52.0	3.8	0.0%	54	(22)
77	Amarillo, TX	51.9	9.6	2.1%	147	70
78	Lima, OH	51.9	4.9	2.8%	131	53
79	Bangor, ME NECTA	51.9	6.5	0.5%	52	(27)
80	Midland, TX	51.6	9.4	-7.8%	60	(20)
81	Bay City, MI	51.3	3.5	7.1%	39	(42)
82	Iowa City, IA	51.1	6.9	-2.4%	38	(44)
83	Clarksville, TN-KY	50.8	9.1	1.5%	84	1
84	Chico, CA	50.5	5.8	7.4%	70	(14)
85	Leominster-Gardner, MA NECTA	50.4	3.8	4.6%	116	31
86	Victoria, TX	50.3	2.6	0.0%	42	(44)
87	Lewiston-Auburn, ME NECTA	50.0	7.0	0.0%	108	21
88	Kingston, NY	48.5	4.6	6.9%	121	33
89	Atlantic City-Hammonton, NJ	48.4	10.0	5.6%	119	30
90	Santa Cruz-Watsonville, CA	48.3	10.0	4.9%	168	78
91	Spartanburg, SC	48.2	16.0	4.3%	90	(1)
92	Kankakee, IL	47.9	3.4	10.8%	28	(64)
93	Madera, CA	47.6	2.9	3.6%	122	29
94	Danbury, CT NECTA	46.4	9.3	3.0%	72	(22)
95	Walla Walla, WA	46.4	1.0	0.0%	164	69
96	Hagerstown-Martinsburg, MD-WV	46.1	9.4	-1.7%	100	4
97	Bloomsburg-Berwick, PA	45.6	4.2	0.0%	106	9
98	Idaho Falls, ID	44.5	12.7	9.8%	156	58
99	San Rafael, CA Metropolitan Division	43.0	19.1	5.9%	180	81
100	Barnstable Town, MA NECTA	42.9	8.6	3.6%	57	(43)
101	Brockton-Bridgewater-Easton, MA NECTA Division	42.6	7.4	11.6%	76	(25)
102	Lafayette-West Lafayette, IN	42.2	7.5	-10.7%	13	(89)
103	Vallejo-Fairfield, CA	41.0	9.8	1.4%	142	39
104	St. Cloud, MN	41.0	8.8	4.3%	183	79
105	Kennewick-Richland, WA	40.9	21.4	2.9%	175	70
106	East Stroudsburg, PA	40.6	3.5	6.1%	173	67
107	Oshkosh-Neenah, WI	40.2	11.3	0.3%	87	(20)
108	Abilene, TX	40.2	5.6	-3.5%	94	(14)
109	Morristown, TN	40.1	3.4	3.1%	98	(11)
110	Glens Falls, NY	39.8	5.8	-3.3%	114	4
111	Fort Smith, AR-OK	39.8	11.9	-0.3%	115	4
112	Kingsport-Bristol-Bristol, TN-VA	39.8	10.1	4.1%	73	(39)
113	Sebastian-Vero Beach, FL	38.9	5.1	1.3%	92	(21)
114	Cleveland, TN	38.7	8.4	-8.4%	25	(89)
115	Eau Claire, WI	38.6	9.1	1.9%	148	33
116	Niles-Benton Harbor, MI	37.9	5.6	0.0%	141	25
117	Appleton, WI	37.3	13.3	-0.7%	88	(29)
118	Albany, OR	36.7	3.3	4.2%	124	6
119	Michigan City-La Porte, IN	36.7	2.8	0.0%	36	(83)
120	Lake Havasu City-Kingman, AZ	36.0	3.5	9.4%	19	(101)
121	Monroe, LA	35.6	7.9	-0.4%	118	(3)
122	Santa Fe, NM	35.6	4.6	3.7%	187	65
123	Visalia-Porterville, CA	35.3	9.8	0.0%	178	55
124	Rapid City, SD	34.8	5.0	-0.7%	143	19
125	Elmira, NY	34.8	2.7	-1.2%	71	(54)
126	Battle Creek, MI	34.4	6.2	-0.5%	62	(64)
127	Longview, TX	34.3	8.9	-6.9%	105	(22)
128	Ocala, FL	34.3	9.3	-1.4%	41	(87)
129	Grand Forks, ND-MN	34.2	3.0	4.6%	110	(19)
130	Johnson City, TN	33.8	8.2	3.8%	103	(27)
131	Huntington-Ashland, WV-KY-OH	33.8	12.1	-4.0%	91	(40)
132	Great Falls, MT	32.5	3.1	-1.1%	186	54
133	Altoona, PA	32.2	5.5	-1.2%	96	(37)
134	Peabody-Salem-Beverly, MA NECTA Division	31.7	9.9	1.0%	155	21
135	Danville, IL	31.7	2.0	-10.4%	161	26
136	Columbus, GA-AL	31.6	13.2	3.1%	181	45
137	Fairbanks, AK	30.8	2.2	0.0%	157	20
138	Dalton, GA	30.7	6.1	2.2%	101	(37)
139	Medford, OR	30.6	7.0	-1.9%	83	(56)
140	Pittsfield, MA NECTA	30.4	3.8	0.9%	167	27
141	Greenville, NC	30.2	6.8	-2.4%	65	(76)
142	Grand Junction, CO	30.0	5.3	-5.9%	134	(8)
143	Fayetteville, NC	29.9	12.5	2.5%	188	45
144	Weirton-Steubenville, WV-OH	29.6	1.9	0.0%	137	(7)
145	Decatur, IL	28.2	3.2	6.7%	198	53
146	Cedar Rapids, IA	28.1	13.6	-3.1%	191	45
147	Terre Haute, IN	28.0	5.5	0.0%	182	35
148	Johnstown, PA	27.6	5.7	0.0%	135	(13)
149	Erie, PA	27.2	10.1	-0.3%	107	(42)
150	Tyler, TX	27.1	8.5	-3.4%	95	(55)
151	Hanford-Corcoran, CA	27.0	1.3	-2.5%	125	(26)
152	Jackson, MI	26.9	4.1	0.0%	184	32
153	Bremerton-Silverdale, WA	26.9	7.1	4.9%	169	16
154	Charleston, WV	26.7	14.4	-5.1%	158	4
155	Duluth, MN-WI	26.4	8.0	-4.7%	132	(23)
156	Lynn-Saugus-Marblehead, MA NECTA Division	26.3	2.7	-9.1%	8	(148)
157	Lowell-Billerica-Chelmsford, MA-NH NECTA Division	26.0	20.8	-2.2%	129	(28)
158	Flint, MI	26.0	15.5	-2.1%	79	(79)
159	Rocky Mount, NC	25.6	5.5	1.9%	176	17
160	Norwich-New London-Westerly, CT-RI NECTA	25.3	8.9	2.7%	146	(14)
161	Racine, WI	25.1	6.4	0.5%	150	(11)
162	Hickory-Lenoir-Morganton, NC	24.8	13.2	1.3%	24	(138)
163	Lawrence-Methuen Town-Salem, MA-NH NECTA Division	23.4	10.1	-2.3%	174	11
164	Las Cruces, NM	23.4	7.0	-3.2%	166	2
165	San Angelo, TX	23.3	3.8	-0.9%	128	(37)
166	El Centro, CA	23.1	2.2	-5.7%	194	28
167	Sheboygan, WI	23.0	4.3	0.8%	144	(23)
168	Waterbury, CT NECTA	22.8	5.2	-3.7%	67	(101)
169	Lawrence, KS	22.7	5.2	-12.4%	47	(122)
170	Florence-Muscle Shoals, AL	22.4	4.0	0.0%	172	2
171	Watertown-Fort Drum, NY	22.1	2.2	3.2%	196	25
172	Sherman-Denison, TX	22.0	2.9	-7.4%	12	(160)
173	Odessa, TX	21.3	4.2	-9.3%	30	(143)
174	Rochester, MN	21.3	5.5	-2.9%	120	(54)
175	Missoula, MT	21.2	6.2	-3.6%	136	(39)
176	Vineland-Bridgeton, NJ	20.4	3.6	1.9%	201	25
177	Champaign-Urbana, IL	20.1	7.8	-1.3%	139	(38)
178	Decatur, AL	19.2	5.4	-5.8%	149	(29)
179	Casper, WY	19.2	2.9	-3.4%	123	(56)
180	Cheyenne, WY	18.2	3.2	-3.1%	80	(100)
181	Dothan, AL	17.8	4.3	-0.8%	97	(84)
182	Mansfield, OH	17.0	5.1	-1.9%	102	(80)
183	Lewiston, ID-WA	16.8	1.3	-2.6%	197	14
184	Binghamton, NY	16.8	9.2	-4.2%	112	(72)
185	Coeur d'Alene, ID	16.7	6.0	-5.3%	109	(76)
186	Dutchess County-Putnam County, NY Metropolitan Division	16.1	11.5	0.0%	189	3
187	Utica-Rome, NY	16.1	8.2	-0.8%	200	13
188	Lynchburg, VA	16.1	11.9	-1.1%	154	(34)
189	Sioux City, IA-NE-SD	16.0	7.8	-2.1%	193	4
190	Carson City, NV	11.6	1.9	-3.4%	117	(73)
191	Wichita Falls, TX	11.6	3.7	-2.7%	170	(21)
192	La Crosse-Onalaska, WI-MN	11.0	6.0	-3.7%	165	(27)
193	Bloomington, IL	10.4	9.7	-3.3%	195	2
194	Bloomington, IN	10.2	4.4	-5.1%	203	9
195	Sierra Vista-Douglas, AZ	10.2	3.8	-10.9%	153	(42)
196	Billings, MT	10.0	8.2	-6.5%	171	(25)
197	Merced, CA	8.1	3.5	-2.8%	192	(5)
198	Anniston-Oxford-Jacksonville, AL	7.0	4.4	-3.6%	202	4