Tag: Best Cities 2015

  • The Cities Leading A U.S. Manufacturing Revival

    Manufacturing may no longer drive the U.S. economy, but industrial growth remains a powerful force in many regions of the country. Industrial employment has surged over the past five years, with the sector adding some 855,000 new jobs, a 7.5% expansion.

    Several factors are driving this trend, including rising wages in China, the energy boom and a growing need to respond more quickly to local customer demand and the changing marketplace.

    To generate our rankings of the best places for manufacturing jobs, we evaluated the 373 metropolitan statistical areas for which the U.S. Bureau of Labor Statistics has complete data over the past decade. Our rankings factor in manufacturing employment growth over the long term (2003-14), medium term (2009-14) and the last two years, as well as momentum.

    The Rust Belt Is Back

    No part of America suffered more from the de-industrialization of the past 40 years than the Great Lakes states. Yet as manufacturing  has come back, particularly the auto industry, many of the region’s economies have begun to resurge. Despite all the fashionable chatter over the question of whether we’ve reached “peak car,” the auto industry has enjoyed six straight years of increased sales, driven by low interest rates, the need to replace older cars and rising consumer confidence.

    The epicenter of this trend is exactly where the industrial decline hit hardest: Michigan, which sweeps the top three places on our list of the big cities generating the most new manufacturing jobs. The state has now recovered about 40% of the manufacturing jobs it lost during the recession. The Detroit-Dearborn-Livonia metropolitan area ranks No. 1 among the country’s 70 largest metropolitan areas for manufacturing employment growth over the time period for our study. Since 2009 the Detroit area has seen a remarkable 31.3% rebound to 89,300 industrial jobs, including a 9.8% expansion last year. This growth has helped begin to reverse a long-standing decline in employment overall—still down 12.3% since 2003—with overall employment up 5.9% since 2009.

    Detroit’s recovery is not just a matter of inertia, but reflects a unique combination of circumstances. The area is home not only to many skilled workers, but boasts the second largest concentration of engineers among the country’s 85 largest metro areas, behind only Silicon Valley.

    In second place is Warren-Troy-Farmington, in the Detroit suburbs, where manufacturing employment is up 38.8% since 2009. In third place is Grand Rapids-Wyoming, a longtime furniture-making hub where an uncommonly high share of jobs is in manufacturing, one in five; the metro area has seen industrial employment rebound 27.9% since 2009.

    Another Midwest hotspot has been Toledo, Ohio, only 60 miles from Detroit, which ranks first among the mid-sized cities we evaluated, with a 17.4% jump in industrial employment since 2009.

    Southern Cooking

    The other big cluster of industrial hotspots is in the Southeast. Manufacturing has been heading to the region for several decades, recently primed by  major investments from German and Japanese companies, among others. A prime example is Nashville-Davidson-Murfreesboro, Tenn., No. 4 on our list, where manufacturing employment has jumped 23.9% since 2009. Japan’s Nissan and Bridgestone have establishing manufacturing plants in Central Tennessee, which has also created opportunities for small domestic parts companies in the region. Nissan also relocated its U.S. headquarters to the area in 2006 from Southern California. And domestic auto makers are have become major players in the Southeast—Ford employs some 14,000 in the Louisville, Ky., area, which checks in at No. 7 among our largest MSAs. The South, notes a recent Brookings study, now has the highest number of workers in the country employed in “advanced industries,” which tend to be the higher paying, more technically oriented parts of the factory economy.

    Other areas that have become primary places for new industrial investment include such Deep South locations as Savannah, Ga., No. 2 on our mid-sized list, as well as No. 8 Columbia, S.C., a major center for German car companies, and No. 10 Charleston, S.C., which has benefited from the expansion of Boeing and aerospace suppliers there. These areas missed much of the  industrial revolution a century ago but are playing an impressive game of catch-up. Each has seen their industrial workforces grow over 20% since 2009. Other southern stars include Cape Coral-Ft Meyers, Fla., No. 4 on our mid-sized city list. Our small cities list also turns up Southern outperformers:  No. 2 Naples-Immokalee-Marco Island and No. 3 Sebastian-Vero-Beach, Fla.

    The Energy Belt

    Falling oil prices may be causing the oil and gas industry to rein in exploration and drilling budgets, but it provides an enormous boon for downstream industries such as refining and petrochemicals. This could keep industrial job growth going in two of our top MSAs that are in the oil patch.  Oklahoma City, where manufacturing job growth has soared 23.1% since 2009, ranks sixth, and  Houston, where the industrial workforce has expanded 19.8% over the same time  span, ranks ninth. Houston now is home to 257,300 manufacturing jobs, the third largest concentration in the country.

    As in Detroit, Houston’s industrial rise is powered by more than by brawn. The area ranks sixth among the nation’s major metros in number of engineers per capita. If the Bay Area is master of the digital economy, Houston ranks as the technological leader of the material one; it is the capital for the energy-driven revival of U.S. industry.

    Smaller energy-rich areas that have also experienced rapid industrial growth. These include two Louisiana metro areas, No. 3 Baton Rouge and No. 7 Lafayette, third and seventh, respectively on our mid-sized metro area list, as well as Midland, Texas, fifth on our small areas list. Perhaps most surprising, given its location in anti-carbon California, has been the steady growth in Bakersfield,  which stands fifth on the mid-sized list and is home to some of the nation’s largest oil fields. With 20.3% industrial growth since 2009, the area, sometimes known as “little Texas,” is the only metro area in the Golden State to make it to the top 10 in either the large or mid-sized list.

    A Shift To Smaller Cities

    Once American industry was identified predominately with big cities: New York in 1950, according to economic historian Fernand Braudel, had the largest industrial economy in the world, employing a million workers, mostly at small manufacturers. In the 1970s and 1980s, the industrial zeitgeist moved increasingly to Los Angeles, which vied with Chicago as the largest center for factory jobs.

    Today this pattern is changing dramatically. Besides the move toward the south and energy hotbeds, industry has been expanding in smaller cities as well as suburban areas beyond the core cities, says University of Washington geographer Richard Morrill. This is not unique to the United States; Germany, which has perhaps the most admired industrial sector in the world, also has dispersed its industrial base, largely to smaller cities.

    The reasons for this shift vary, from strict environmental laws in Northern cities, as well as stronger unions, and cheaper land elsewhere.

    For example, although the New York state capital Albany ranks fifth on our big metro area list, driven in large part by semiconductor manufacturing, New York City stands at a weak 62nd out of 70. Since 2009, New York has lost 3.3% of its manufacturing jobs; the city’s industrial workforce now stands at a paltry 74,700, a dramatic decline from some 400,000 as recently as the early 1980s.

    Yet with its powerful array of media, business service and hospitality businesses, New York appears to be able to withstand deindustrialization more than the two largest industrial MSAs, Chicago and Los Angeles. The one-time “city of big shoulders“ and its environs has also lost industrial jobs since 2009, down to 278,000 from 286,500 in 2011, and a far cry from the 461,600 it had in 2000.

    The decline has been, if anything, more rapid in 59th place Los Angeles. This process began with the loss of more than 90,000 aerospace jobs since the end of the Cold War. Los Angeles’ industrial job count stands at 363,900 — still the largest in the nations but down sharply from 900,000 just a decade ago.

    Does Industrial Growth Still Matter?

    Clearly deindustrialization has a bigger impact in some areas than others. Cities like San Francisco and New York appear better positioned for the post-industrial transition than Chicago or Los Angeles, where manufacturing lingered longer and the elite service or tech industries are not nearly as predominant. Yet the impact of industrial decline — or resurgence — may be more important in the future than many suppose.

    This is particularly critical for blue-collar workers, for whom industrial jobs tend to pay more. Welders and other skilled workers are increasingly in short supply, particularly as baby boomers begin to leave the workforce. Many of the cities which did well in our rankings are among the best in building new training partnerships with their industrial employers—these are skills that are decreasingly taught in the modern secondary and college curricula. In some places, vocational skills have recently been commanding higher post-graduation salaries than traditional college degrees.

    Industrial growth also provides an opportunity for emerging cities, particularly in the South and the energy belt, to add to their employment base and, in some cases, their connections with international markets. Over-dependence on manufacturing, as the Rust Belt experience showed, can be dangerous, and the need to diversify employmentremains critical. Threats to future growth include the strong dollar, the decline in the energy sector and economic weakness abroad reducing exports.

    But factory jobs remain an important asset for many regions. They may not be the central force they once were, but these jobs seem likely to continue making a big difference in the fates of many economies, both big and small.

    This piece originally appeared at Forbes.

    Joel Kotkin is executive editor of NewGeography.com and Roger Hobbs Distinguished Fellow in Urban Studies at Chapman University, and a member of the editorial board of the Orange County Register. He is also executive director of the Houston-based Center for Opportunity Urbanism. His newest book, The New Class Conflict is now available at Amazon and Telos Press. He is also author of 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.

    Auto manufacturing photo by BigStockPhoto.com.

  • Small Cities Manufacturing Jobs – 2015 Best Cities Rankings

    Read about how we selected the 2015 Best Cities for Job Growth

    We used five measures of growth to rank MSAs over the past 10 years. “Large” areas include those with a current nonfarm employment base of at least 450,000 jobs. “Midsize” areas range from 150,000 to 450,000 jobs. “Small” areas have as many as 150,000 jobs. This year’s rankings reflect the new Office of Management and Budget definitions of MSAs for all series released after March 2015. As a result, the MSA listed in this year’s rankings do not necessary correspond directly to those listed in prior years. In some instances, MSAs were consolidated with others — for example Pascagoula, MS, was combined with the Gulfport-Biloxi, MS, MSA to form the new Gulfport-Biloxi-Pascagoula, MS, MSA. Others were separated from previously consolidated MSAs and in still other instances individual counties were shifted from one MSA to another. The bottom line is that this year’s rankings are based on good time series for the newly defined MSAs but may not be precisely comparable to those listed in prior years. The total number of MSAs included in this year’s rankings has risen from 398 to 421. This year’s rankings reflect the current size of each MSA’s employment.

    2015  Mfg Rank – Small MSAs Area Weighted INDEX 2014 Mfg Emplmt (1000s) Total Mfg Emplmt Growth Rate 2013-2014 Total Mfg Emplmt Cum Growth
    2009-2014
    2015 Overall Mfg Rank
    1 Madera, CA 74.4 4.6 10.3% 59.8% 1
    2 Naples-Immokalee-Marco Island, FL 74.0 3.5 10.5% 40.0% 2
    3 Sebastian-Vero Beach, FL 71.3 2.1 4.9% 39.1% 3
    4 San Rafael, CA Metro Div 70.5 3.8 17.7% 76.6% 4
    5 Midland, TX 68.9 4.1 8.8% 72.2% 5
    6 Grants Pass, OR 68.6 2.9 19.2% 26.1% 6
    7 Pueblo, CO 68.4 4.8 7.5% 22.2% 7
    8 Merced, CA 68.3 10.7 26.8% 35.3% 8
    9 Lewiston, ID-WA 67.7 4.1 2.5% 40.9% 9
    10 College Station-Bryan, TX 67.2 6.2 10.7% 19.2% 10
    11 Elizabethtown-Fort Knox, KY 66.4 7.3 10.7% 42.5% 11
    12 Columbus, IN 65.5 19.2 7.4% 43.2% 12
    13 Auburn-Opelika, AL 65.1 6.6 5.9% 19.3% 13
    14 Mount Vernon-Anacortes, WA 65.0 6.1 7.6% 26.9% 14
    15 Idaho Falls, ID 64.1 3.9 4.5% 34.9% 15
    16 Kokomo, IN 63.3 11.6 4.8% 42.6% 17
    17 Odessa, TX 63.0 5.8 7.4% 46.2% 18
    18 Bend-Redmond, OR 60.9 4.5 5.4% 24.8% 21
    19 Elkhart-Goshen, IN 60.8 57.8 3.9% 41.9% 22
    20 Santa Cruz-Watsonville, CA 60.5 6.4 6.0% 23.7% 23
    21 Monroe, MI 60.3 5.6 8.4% 28.5% 24
    22 Napa, CA 59.9 12.3 8.5% 17.9% 25
    23 Medford, OR 59.6 7.6 6.1% 24.0% 27
    24 Jackson, MI 59.5 9.6 4.0% 33.8% 28
    25 Vallejo-Fairfield, CA 58.9 11.1 7.4% 16.0% 29
    26 Prescott, AZ 58.7 3.3 1.0% 31.6% 30
    27 Fort Collins, CO 58.5 12.6 7.1% 20.4% 31
    28 Lafayette-West Lafayette, IN 58.5 17.3 4.4% 26.7% 32
    29 Chambersburg-Waynesboro, PA 57.5 10.0 3.1% 31.4% 34
    30 St. George, UT 57.2 2.8 3.7% 25.4% 36
    31 Kennewick-Richland, WA 57.2 7.7 7.5% 15.6% 37
    32 Portsmouth, NH-ME NECTA 57.1 7.6 3.2% 21.2% 38
    33 Tuscaloosa, AL 57.1 15.2 8.9% 12.9% 39
    34 Flint, MI 56.4 12.5 4.5% 31.2% 42
    35 Grand Forks, ND-MN 56.3 4.0 8.1% 11.1% 43
    36 Muskegon, MI 56.2 13.2 3.9% 33.8% 44
    37 Port St. Lucie, FL 55.9 6.0 2.3% 24.3% 45
    38 San Luis Obispo-Paso Robles-Arroyo Grande, CA 55.2 6.9 6.2% 19.7% 47
    39 Niles-Benton Harbor, MI 54.1 13.1 4.3% 17.0% 51
    40 Ocala, FL 53.7 7.4 6.7% 13.8% 53
    41 Morgantown, WV 53.5 4.5 3.1% 21.6% 54
    42 Spartanburg, SC 52.5 28.4 5.3% 16.6% 59
    43 Lima, OH 52.3 8.8 5.6% 11.9% 61
    44 Fond du Lac, WI 52.2 11.1 0.9% 28.2% 62
    45 Kankakee, IL 52.1 5.8 -0.6% 27.7% 63
    46 Appleton, WI 52.1 24.1 4.8% 17.2% 64
    47 Greeley, CO 52.1 12.0 4.6% 17.2% 65
    48 Panama City, FL 51.8 3.7 0.9% 16.7% 67
    49 Florence-Muscle Shoals, AL 51.3 9.3 -3.1% 31.8% 70
    50 Bowling Green, KY 51.1 10.5 3.3% 20.7% 71
    51 Kalamazoo-Portage, MI 50.6 20.4 4.3% 11.9% 74
    52 Gettysburg, PA 50.5 6.9 4.0% 12.4% 75
    53 Kahului-Wailuku-Lahaina, HI 50.4 1.2 0.0% 20.0% 76
    54 Yakima, WA 49.9 8.4 4.1% 16.7% 79
    55 Bellingham, WA 49.6 9.3 2.2% 22.5% 82
    56 Janesville-Beloit, WI 49.0 9.4 2.9% 17.1% 86
    57 Danville, IL 48.6 5.3 12.9% 9.0% 88
    58 Sioux Falls, SD 48.5 13.9 3.0% 17.2% 90
    59 Sheboygan, WI 48.5 20.5 2.7% 11.2% 92
    60 Santa Fe, NM 47.8 0.9 4.0% 8.3% 94
    61 Wenatchee, WA 47.5 2.5 1.4% 17.5% 97
    62 Battle Creek, MI 47.5 11.5 3.0% 12.1% 98
    63 Coeur d’Alene, ID 47.2 4.9 -3.3% 21.7% 99
    64 Ithaca, NY 47.0 3.5 2.0% 16.9% 100
    65 Visalia-Porterville, CA 47.0 12.2 5.2% 8.0% 101
    66 Chico, CA 47.0 3.8 4.5% 15.0% 102
    67 Yuma, AZ 46.8 2.2 1.5% 31.4% 104
    68 Sumter, SC 46.6 6.6 3.1% 8.2% 105
    69 Fargo, ND-MN 45.6 10.3 1.0% 19.8% 109
    70 Longview, WA 45.4 6.5 2.1% 12.0% 110
    71 Olympia-Tumwater, WA 45.4 3.3 4.2% 7.6% 111
    72 Bismarck, ND 45.4 2.0 5.2% -1.6% 112
    73 Dalton, GA 44.8 23.2 7.2% -1.7% 115
    74 Wausau, WI 44.8 15.6 3.1% 7.3% 116
    75 Saginaw, MI 44.8 11.9 -0.8% 27.1% 117
    76 Punta Gorda, FL 44.6 0.7 0.0% 40.0% 119
    77 Myrtle Beach-Conway-North Myrtle Beach, SC-NC 44.5 4.6 3.7% 8.6% 122
    78 Springfield, OH 44.3 6.7 2.0% 10.5% 124
    79 Gadsden, AL 44.0 5.2 4.7% 8.3% 126
    80 Eugene, OR 43.6 13.0 1.8% 8.9% 129
    81 Grand Junction, CO 43.2 2.8 1.2% 12.0% 134
    82 Barnstable Town, MA NECTA 42.6 3.0 1.1% 9.6% 138
    83 Lake Charles, LA 42.1 9.4 2.9% 5.2% 140
    84 Greenville, NC 41.6 6.8 3.0% 13.4% 142
    85 Pittsfield, MA NECTA 41.6 3.9 6.4% 0.0% 143
    86 Redding, CA 41.3 2.3 1.5% 1.5% 148
    87 Racine, WI 41.2 18.8 0.7% 16.0% 149
    88 Huntington-Ashland, WV-KY-OH 40.7 11.5 3.6% 4.9% 152
    89 Bremerton-Silverdale, WA 40.6 2.1 0.0% 10.5% 153
    90 Clarksville, TN-KY 40.4 10.1 3.1% 9.4% 154
    91 South Bend-Mishawaka, IN-MI 40.2 17.1 3.6% 7.6% 157
    92 Watertown-Fort Drum, NY 40.2 2.4 6.0% 0.0% 158
    93 Columbus, GA-AL 40.2 10.8 -0.9% 16.9% 159
    94 Lewiston-Auburn, ME NECTA 40.1 5.2 4.0% 1.3% 161
    95 Charlottesville, VA 40.0 3.8 4.6% 0.0% 162
    96 Haverhill-Newburyport-Amesbury Town, MA-NH NECTA Div 39.9 9.1 0.4% 9.7% 163
    97 Hickory-Lenoir-Morganton, NC 39.8 39.0 2.4% 5.2% 164
    98 Burlington, NC 39.7 8.7 5.2% 4.0% 165
    99 Dover-Durham, NH-ME NECTA 39.4 5.2 1.3% 7.6% 168
    100 Hanford-Corcoran, CA 39.0 4.2 0.8% 5.0% 170
    101 St. Cloud, MN 38.9 15.3 2.0% 7.5% 171
    102 Abilene, TX 38.8 2.9 3.6% -1.1% 173
    103 Walla Walla, WA 38.6 3.6 0.9% 9.2% 174
    104 Albany, OR 38.4 7.0 1.4% 5.0% 176
    105 Rapid City, SD 38.3 2.8 -1.2% 13.5% 177
    106 Logan, UT-ID 38.2 11.3 1.8% 6.9% 178
    107 Longview, TX 38.1 10.5 6.8% -0.6% 180
    108 San Angelo, TX 38.0 3.5 9.4% 2.9% 181
    109 Cleveland, TN 38.0 8.9 -2.9% 18.7% 182
    110 Mansfield, OH 37.9 9.6 1.4% 9.1% 184
    111 Erie, PA 37.8 22.2 1.1% 14.7% 185
    112 Morristown, TN 37.6 10.3 1.0% 0.0% 187
    113 Flagstaff, AZ 37.4 4.2 0.8% 15.5% 189
    114 Owensboro, KY 36.5 8.5 1.2% 7.2% 194
    115 Dover, DE 36.4 4.8 1.4% 3.6% 195
    116 Kingston, NY 36.3 3.5 4.0% -1.9% 197
    117 Casper, WY 36.0 1.8 0.0% 17.0% 201
    118 Taunton-Middleborough-Norton, MA NECTA Div 35.6 6.2 1.1% 1.6% 205
    119 Sioux City, IA-NE-SD 35.5 15.2 1.3% 1.3% 206
    120 Muncie, IN 34.4 4.2 0.8% 9.6% 212
    121 Killeen-Temple, TX 34.0 7.4 0.9% 1.8% 216
    122 Lake Havasu City-Kingman, AZ 33.8 2.8 2.4% 0.0% 219
    123 Sherman-Denison, TX 33.5 5.4 1.9% 5.9% 221
    124 Monroe, LA 33.4 6.8 1.0% 3.0% 222
    125 Waterloo-Cedar Falls, IA 32.9 17.3 -1.7% 12.1% 224
    126 Brownsville-Harlingen, TX 32.9 5.8 3.0% 0.0% 225
    127 Kingsport-Bristol-Bristol, TN-VA 32.9 21.6 1.4% 4.7% 226
    128 Michigan City-La Porte, IN 32.8 7.6 1.8% 5.6% 227
    129 Brockton-Bridgewater-Easton, MA NECTA Div 32.8 5.5 0.0% -0.6% 228
    130 Eau Claire, WI 32.7 10.4 0.0% 6.8% 229
    131 Fort Smith, AR-OK 32.1 18.2 2.4% -8.5% 235
    132 Yuba City, CA 32.0 2.1 0.0% 8.6% 236
    133 Lawton, OK 31.8 3.6 0.0% 0.9% 238
    134 Jackson, TN 31.8 9.7 1.4% -1.0% 239
    135 Anniston-Oxford-Jacksonville, AL 31.6 5.9 1.1% -0.6% 240
    136 Lowell-Billerica-Chelmsford, MA-NH NECTA Div 31.5 22.2 0.3% 1.5% 241
    137 Lubbock, TX 31.0 4.9 2.8% 0.7% 243
    138 La Crosse-Onalaska, WI-MN 30.8 8.5 -1.2% 5.8% 245
    139 Salisbury, MD-DE 30.6 14.2 1.2% -2.1% 248
    140 Johnson City, TN 30.6 7.6 3.2% -3.8% 249
    141 New Bedford, MA NECTA 30.5 7.9 3.5% 0.9% 251
    142 Bloomington, IL 29.8 4.8 -2.0% 7.5% 254
    143 Champaign-Urbana, IL 29.8 8.1 1.3% 2.1% 256
    144 Vineland-Bridgeton, NJ 29.4 8.3 0.4% -0.4% 259
    145 Charleston, WV 29.1 3.4 -1.0% -1.9% 261
    146 Topeka, KS 28.9 7.1 0.9% 2.9% 264
    147 Rome, GA 28.8 5.7 1.8% -7.6% 265
    148 Lawrence-Methuen Town-Salem, MA-NH NECTA Div 27.5 9.4 -0.7% 1.4% 273
    149 Cheyenne, WY 27.3 1.4 -2.4% -6.8% 275
    150 Cedar Rapids, IA 27.3 20.1 0.5% -0.2% 276
    151 Lynchburg, VA 27.2 14.6 0.0% -0.9% 277
    152 Texarkana, TX-AR 27.2 5.3 1.3% -1.3% 278
    153 Norwich-New London-Westerly, CT-RI NECTA 27.1 14.8 -0.2% -2.8% 279
    154 Peabody-Salem-Beverly, MA NECTA Div 26.7 7.7 -0.9% -0.9% 281
    155 Utica-Rome, NY 26.5 11.1 -0.9% -2.1% 282
    156 Tyler, TX 26.5 5.6 1.8% -17.2% 283
    157 Altoona, PA 26.3 7.5 -1.7% 2.3% 284
    158 Joplin, MO 26.3 12.8 1.1% -5.4% 285
    159 Duluth, MN-WI 26.0 7.1 -1.8% 6.5% 286
    160 Decatur, AL 26.0 11.9 -2.2% 0.0% 287
    161 Carson City, NV 25.8 2.6 -3.7% 2.7% 289
    162 Amarillo, TX 25.0 13.1 -1.8% 1.0% 294
    163 State College, PA 24.9 3.9 -1.7% 3.5% 295
    164 Bloomington, IN 24.8 8.6 0.4% 1.6% 296
    165 Victoria, TX 24.8 2.6 0.0% 1.3% 297
    166 Albany, GA 24.3 4.3 0.0% -4.4% 298
    167 Manchester, NH NECTA 23.8 7.7 -0.9% -3.3% 301
    168 Bloomsburg-Berwick, PA 23.8 5.6 -2.9% 0.6% 302
    169 Waco, TX 23.3 14.4 -2.7% 0.9% 304
    170 Terre Haute, IN 23.2 10.9 -4.1% 6.2% 306
    171 Springfield, IL 22.9 3.0 0.0% -8.2% 307
    172 East Stroudsburg, PA 22.8 4.6 0.7% -9.2% 309
    173 Lebanon, PA 22.6 8.7 -3.7% 2.3% 311
    174 Nashua, NH-MA NECTA Div 22.4 19.7 0.3% -6.6% 314
    175 Decatur, IL 22.3 10.1 0.0% 0.3% 315
    176 Leominster-Gardner, MA NECTA 21.8 6.1 -0.5% -10.7% 318
    177 Rochester, MN 21.4 10.7 0.0% -2.7% 321
    178 Rocky Mount, NC 20.0 10.2 -1.6% -7.0% 323
    179 Salinas, CA 19.8 5.0 -3.2% -5.6% 325
    180 Glens Falls, NY 19.1 6.0 -1.1% -4.8% 329
    181 Gainesville, FL 19.0 4.2 -0.8% -3.8% 330
    182 Williamsport, PA 18.6 8.0 -1.2% -9.1% 331
    183 Hagerstown-Martinsburg, MD-WV 18.5 7.5 -3.0% -6.7% 332
    184 Corvallis, OR 18.4 3.0 0.0% -12.7% 333
    185 Atlantic City-Hammonton, NJ 16.9 2.0 0.0% -10.3% 338
    186 Wichita Falls, TX 16.7 5.1 -3.7% -3.7% 339
    187 Waterbury, CT NECTA 16.3 7.3 -6.0% -3.1% 340
    188 Bay City, MI 16.2 3.8 -3.4% -5.0% 342
    189 Sierra Vista-Douglas, AZ 16.1 0.5 -6.3% -11.8% 343
    190 Hattiesburg, MS 15.8 4.0 -2.4% -4.8% 345
    191 Burlington-South Burlington, VT NECTA 15.5 13.4 -3.1% -5.0% 346
    192 Weirton-Steubenville, WV-OH 15.2 5.5 -3.5% -12.8% 348
    193 Johnstown, PA 14.6 3.8 -1.7% -14.3% 350
    194 Oshkosh-Neenah, WI 14.2 22.0 -2.4% -7.4% 352
    195 Elmira, NY 13.8 5.1 0.0% -11.0% 354
    196 Lynn-Saugus-Marblehead, MA NECTA Div 13.4 4.5 -3.6% -7.5% 356
    197 Fairbanks, AK 10.6 0.5 -21.1% -11.8% 358
    198 Wilmington, NC 10.6 5.7 -3.9% -14.9% 359
    199 Parkersburg-Vienna, WV 9.9 3.0 -4.3% -16.0% 360
    200 Wheeling, WV-OH 9.7 3.0 -5.3% -16.7% 363
    201 Laredo, TX 9.2 0.7 -12.5% -12.5% 364
    202 Dutchess County-Putnam County, NY Metro Div 7.8 10.4 -4.3% -19.1% 365
    203 Bangor, ME NECTA 7.1 2.4 -4.1% -25.3% 366
    204 Fayetteville, NC 6.9 7.9 -5.6% -18.5% 367
    205 Dothan, AL 6.9 4.3 -7.9% -23.7% 368
    206 Crestview-Fort Walton Beach-Destin, FL 6.7 3.5 -8.7% -22.8% 369
    207 Las Cruces, NM 6.4 2.5 -7.5% -17.8% 370
    208 Binghamton, NY 5.3 11.6 -2.8% -21.3% 371
    209 Pocatello, ID 0.2 1.5 -16.4% -28.1% 372
    210 El Centro, CA 0.0 1.0 -56.5% -61.5% 373
  • Mid-sized Cities Manufacturing Jobs – 2015 Best Cities Rankings

    Read about how we selected the 2015 Best Cities for Job Growth

    We used five measures of growth to rank MSAs over the past 10 years. “Large” areas include those with a current nonfarm employment base of at least 450,000 jobs. “Midsize” areas range from 150,000 to 450,000 jobs. “Small” areas have as many as 150,000 jobs. This year’s rankings reflect the new Office of Management and Budget definitions of MSAs for all series released after March 2015. As a result, the MSA listed in this year’s rankings do not necessary correspond directly to those listed in prior years. In some instances, MSAs were consolidated with others — for example Pascagoula, MS, was combined with the Gulfport-Biloxi, MS, MSA to form the new Gulfport-Biloxi-Pascagoula, MS, MSA. Others were separated from previously consolidated MSAs and in still other instances individual counties were shifted from one MSA to another. The bottom line is that this year’s rankings are based on good time series for the newly defined MSAs but may not be precisely comparable to those listed in prior years. The total number of MSAs included in this year’s rankings has risen from 398 to 421. This year’s rankings reflect the current size of each MSA’s employment.

    2015  Mfg Rank – Midsized MSAs Area Weighted INDEX 2014 Mfg Emplmt (1000s) Total Mfg Emplmt Growth Rate 2013-2014 Total Mfg Emplmt Cum Growth
    2009-2014
    2015 Overall Mfg Rank
    1 Toledo, OH 62.7 44.0 6.7% 27.4% 19
    2 Savannah, GA 59.8 16.5 6.2% 20.5% 26
    3 Baton Rouge, LA 57.6 29.5 4.5% 20.2% 33
    4 Cape Coral-Fort Myers, FL 57.5 5.1 4.8% 20.3% 35
    5 Bakersfield, CA 56.5 15.0 4.9% 17.8% 41
    6 Springfield, MO 55.2 15.1 5.9% 19.9% 48
    7 Lafayette, LA 55.1 20.2 0.0% 34.3% 49
    8 Columbia, SC 55.0 30.6 7.0% 13.7% 50
    9 Reno, NV 54.0 12.9 2.4% 15.5% 52
    10 Charleston-North Charleston, SC 53.3 25.1 3.7% 21.4% 55
    11 Lansing-East Lansing, MI 53.2 19.7 1.5% 20.1% 56
    12 Madison, WI 52.9 34.1 6.8% 12.0% 57
    13 Deltona-Daytona Beach-Ormond Beach, FL 52.5 10.3 0.7% 22.1% 58
    14 Ogden-Clearfield, UT 52.4 29.8 3.8% 13.6% 60
    15 Stockton-Lodi, CA 51.7 18.8 7.0% 7.2% 69
    16 Provo-Orem, UT 50.8 18.7 2.4% 16.4% 72
    17 North Port-Sarasota-Bradenton, FL 50.6 15.6 3.1% 19.1% 73
    18 Anchorage, AK 50.1 2.3 6.2% 16.9% 77
    19 Pensacola-Ferry Pass-Brent, FL 49.7 6.1 3.4% 14.5% 80
    20 Beaumont-Port Arthur, TX 49.6 22.4 3.7% 16.5% 81
    21 Lakeland-Winter Haven, FL 49.1 16.5 0.8% 15.4% 83
    22 Tulsa, OK 49.1 52.1 3.7% 20.6% 84
    23 Mobile, AL 48.6 18.9 0.7% 32.4% 89
    24 Boulder, CO 48.5 17.7 2.5% 18.8% 91
    25 Trenton, NJ 48.3 9.4 8.5% 1.4% 93
    26 Canton-Massillon, OH 47.7 28.4 2.8% 18.0% 95
    27 Greenville-Anderson-Mauldin, SC 47.6 54.7 2.8% 13.6% 96
    28 Jackson, MS 45.9 18.2 4.8% 9.6% 106
    29 Lincoln, NE 45.8 14.1 3.2% 12.8% 107
    30 Winston-Salem, NC 45.6 31.0 4.6% 4.1% 108
    31 Santa Maria-Santa Barbara, CA 45.3 12.5 4.7% 9.6% 113
    32 Salem, OR 45.1 11.7 3.5% 5.7% 114
    33 Des Moines-West Des Moines, IA 44.7 20.0 1.5% 13.0% 118
    34 Fort Wayne, IN 44.6 34.9 1.4% 14.7% 120
    35 Evansville, IN-KY 44.6 23.0 5.3% 4.7% 121
    36 Harrisburg-Carlisle, PA 44.5 21.0 4.1% 5.5% 123
    37 Rockford, IL 44.3 32.1 2.0% 24.1% 125
    38 Gary, IN Metro Div 43.8 37.2 2.7% 10.1% 127
    39 Youngstown-Warren-Boardman, OH-PA 43.3 30.7 1.7% 17.5% 133
    40 Dayton, OH 43.2 39.6 3.3% 12.4% 136
    41 Montgomery, AL 42.7 18.9 2.9% 11.2% 137
    42 Lake County-Kenosha County, IL-WI Metro Div 42.0 59.1 1.5% 9.1% 141
    43 Boise City, ID 41.4 24.8 1.8% 11.5% 146
    44 Reading, PA 41.1 30.5 2.2% 10.6% 151
    45 Spokane-Spokane Valley, WA 40.1 16.9 1.8% 7.9% 160
    46 Lexington-Fayette, KY 38.9 30.7 2.7% 3.0% 172
    47 Chattanooga, TN-GA 37.8 30.8 1.1% 11.3% 186
    48 Roanoke, VA 37.4 16.7 2.4% 5.7% 188
    49 Green Bay, WI 37.2 29.2 0.8% 8.0% 190
    50 Knoxville, TN 36.2 35.5 1.5% 8.8% 198
    51 Tacoma-Lakewood, WA Metro Div 36.1 17.3 -0.2% 6.6% 199
    52 Asheville, NC 35.8 19.0 1.1% 6.7% 203
    53 Elgin, IL Metro Div 35.8 34.9 1.2% 8.8% 204
    54 Davenport-Moline-Rock Island, IA-IL 34.8 24.3 -0.4% 11.3% 208
    55 Greensboro-High Point, NC 34.7 53.8 0.9% 6.1% 209
    56 Allentown-Bethlehem-Easton, PA-NJ 34.3 35.7 2.2% 1.4% 213
    57 Santa Rosa, CA 34.0 20.2 0.5% 2.9% 214
    58 Little Rock-North Little Rock-Conway, AR 33.9 20.3 3.2% -2.2% 217
    59 Corpus Christi, TX 33.5 9.9 1.7% 5.3% 220
    60 Fresno, CA 33.1 23.2 2.7% -2.2% 223
    61 Akron, OH 32.6 39.9 0.3% 7.3% 231
    62 Colorado Springs, CO 32.1 11.8 -1.4% 5.7% 233
    63 Fayetteville-Springdale-Rogers, AR-MO 31.9 27.5 2.1% -4.5% 237
    64 Ann Arbor, MI 30.0 14.1 0.5% 2.4% 253
    65 Lancaster, PA 29.8 35.9 0.7% -0.5% 255
    66 Durham-Chapel Hill, NC 29.5 30.4 1.4% -3.5% 258
    67 Shreveport-Bossier City, LA 29.0 10.9 1.9% -5.2% 262
    68 Augusta-Richmond County, GA-SC 27.7 20.3 0.0% 0.5% 270
    69 Oxnard-Thousand Oaks-Ventura, CA 27.7 30.2 0.1% -3.3% 271
    70 Scranton–Wilkes-Barre–Hazleton, PA 27.6 27.5 0.0% -2.2% 272
    71 Gulfport-Biloxi-Pascagoula, MS 26.8 19.2 0.5% -10.8% 280
    72 Worcester, MA-CT NECTA 25.7 27.1 0.2% -4.7% 290
    73 Syracuse, NY 25.6 24.5 1.2% -8.8% 291
    74 Huntsville, AL 25.6 23.2 0.7% -7.6% 292
    75 Peoria, IL 25.6 26.6 -1.4% 7.8% 293
    76 Palm Bay-Melbourne-Titusville, FL 23.7 20.1 1.3% -4.6% 303
    77 Wichita, KS 22.9 52.3 -1.3% -1.1% 308
    78 El Paso, TX 22.8 17.1 -2.3% 3.2% 310
    79 McAllen-Edinburg-Mission, TX 22.4 6.3 -1.6% -0.5% 313
    80 Framingham, MA NECTA Div 22.1 25.5 -1.2% -2.3% 316
    81 Portland-South Portland, ME NECTA 21.5 12.1 -0.3% -4.0% 319
    82 York-Hanover, PA 19.7 30.6 -1.1% -6.8% 326
    83 Wilmington, DE-MD-NJ Metro Div 19.2 17.8 -2.0% -4.6% 328
    84 Baltimore City, MD 18.2 11.8 -0.6% -13.0% 335
    85 Tucson, AZ 16.9 22.4 -1.9% -8.3% 337
    86 Modesto, CA 16.2 18.4 -6.6% -4.2% 341
    87 New Haven, CT NECTA 16.0 24.3 -3.1% -8.5% 344
    88 Albuquerque, NM 15.2 16.4 -3.3% -5.6% 347
    89 Bridgeport-Stamford-Norwalk, CT NECTA 15.0 32.0 -3.0% -9.7% 349
    90 Springfield, MA-CT NECTA 14.3 29.1 -3.7% -7.2% 351
    91 Delaware County, PA 14.1 14.6 -3.1% -8.5% 353
    92 Calvert-Charles-Prince George’s, MD 11.7 7.8 -2.1% -27.2% 357
    93 Tallahassee, FL 9.7 2.9 -1.1% -22.1% 362
  • Large Cities Manufacturing Jobs – 2015 Best Cities Rankings

    Read about how we selected the 2015 Best Cities for Job Growth

    We used five measures of growth to rank MSAs over the past 10 years. “Large” areas include those with a current nonfarm employment base of at least 450,000 jobs. “Midsize” areas range from 150,000 to 450,000 jobs. “Small” areas have as many as 150,000 jobs. This year’s rankings reflect the new Office of Management and Budget definitions of MSAs for all series released after March 2015. As a result, the MSA listed in this year’s rankings do not necessary correspond directly to those listed in prior years. In some instances, MSAs were consolidated with others — for example Pascagoula, MS, was combined with the Gulfport-Biloxi, MS, MSA to form the new Gulfport-Biloxi-Pascagoula, MS, MSA. Others were separated from previously consolidated MSAs and in still other instances individual counties were shifted from one MSA to another. The bottom line is that this year’s rankings are based on good time series for the newly defined MSAs but may not be precisely comparable to those listed in prior years. The total number of MSAs included in this year’s rankings has risen from 398 to 421. This year’s rankings reflect the current size of each MSA’s employment.

    2015  Mfg Rank – Large MSAs Area Weighted INDEX 2014 Mfg Emplmt (1000s) Total Mfg Emplmt Growth Rate 2013-2014 Total Mfg Emplmt Cum Growth
    2009-2014
    2015 Overall Mfg Rank
    1 Detroit-Dearborn-Livonia, MI Metro Div 63.6 89.3 9.8% 31.3% 16
    2 Warren-Troy-Farmington Hills, MI Metro Div 61.2 157.9 5.1% 38.8% 20
    3 Grand Rapids-Wyoming, MI 57.0 104.3 3.7% 27.9% 40
    4 Nashville-Davidson–Murfreesboro–Franklin, TN 55.5 79.7 3.4% 23.9% 46
    5 Albany-Schenectady-Troy, NY 52.0 24.5 2.8% 19.9% 66
    6 Oklahoma City, OK 51.7 37.9 2.4% 23.1% 68
    7 Louisville/Jefferson County, KY-IN 50.1 74.9 3.2% 23.1% 78
    8 Kansas City, MO 49.0 41.8 5.1% 8.6% 85
    9 Houston-The Woodlands-Sugar Land, TX 48.8 257.3 2.4% 19.8% 87
    10 Portland-Vancouver-Hillsboro, OR-WA 46.8 119.1 2.8% 12.7% 103
    11 West Palm Beach-Boca Raton-Delray Beach, FL Metro Div 43.8 16.8 3.7% 5.5% 128
    12 Minneapolis-St. Paul-Bloomington, MN-WI 43.4 192.6 2.9% 10.5% 130
    13 Denver-Aurora-Lakewood, CO 43.4 66.4 3.8% 8.4% 131
    14 Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metro Div 43.3 27.2 2.5% 7.1% 132
    15 San Jose-Sunnyvale-Santa Clara, CA 43.2 161.5 3.4% 8.0% 135
    16 Orlando-Kissimmee-Sanford, FL 42.2 39.8 2.9% 5.8% 139
    17 Fort Worth-Arlington, TX Metro Div 41.5 96.9 2.0% 11.6% 144
    18 Riverside-San Bernardino-Ontario, CA 41.5 90.8 2.5% 6.9% 145
    19 Sacramento–Roseville–Arden-Arcade, CA 41.3 35.0 3.0% 6.4% 147
    20 Indianapolis-Carmel-Anderson, IN 41.1 90.6 3.3% 5.6% 150
    21 Raleigh, NC 40.4 31.9 2.9% 6.0% 155
    22 Miami-Miami Beach-Kendall, FL Metro Div 40.4 37.7 2.0% 5.0% 156
    23 Atlanta-Sandy Springs-Roswell, GA 39.6 153.7 2.2% 8.5% 166
    24 Charlotte-Concord-Gastonia, NC-SC 39.5 100.5 2.4% 9.5% 167
    25 Cincinnati, OH-KY-IN 39.1 109.4 1.8% 5.9% 169
    26 Oakland-Hayward-Berkeley, CA Metro Div 38.5 82.8 2.6% 3.3% 175
    27 St. Louis, MO-IL 38.1 113.1 2.7% 5.2% 179
    28 San Francisco-Redwood City-South San Francisco, CA Metro Div 38.0 36.0 2.1% 2.0% 183
    29 Las Vegas-Henderson-Paradise, NV 37.1 21.2 0.5% 5.8% 191
    30 Providence-Warwick, RI-MA NECTA 37.0 52.2 2.4% 2.8% 192
    31 Austin-Round Rock, TX 36.9 57.7 -0.3% 10.7% 193
    32 Tampa-St. Petersburg-Clearwater, FL 36.4 61.2 0.9% 5.0% 196
    33 Milwaukee-Waukesha-West Allis, WI 36.1 120.9 1.3% 8.1% 200
    34 Seattle-Bellevue-Everett, WA Metro Div 35.9 169.9 0.0% 12.9% 202
    35 Anaheim-Santa Ana-Irvine, CA Metro Div 35.1 160.1 1.1% 7.2% 207
    36 San Diego-Carlsbad, CA 34.7 97.0 1.0% 5.2% 210
    37 Birmingham-Hoover, AL 34.7 38.4 -0.5% 7.3% 211
    38 Buffalo-Cheektowaga-Niagara Falls, NY 34.0 52.2 0.4% 5.1% 215
    39 Columbus, OH 33.8 69.7 0.0% 6.8% 218
    40 Cleveland-Elyria, OH 32.6 124.0 -0.2% 7.6% 230
    41 Urban Honolulu, HI 32.2 11.0 0.6% 2.8% 232
    42 Pittsburgh, PA 32.1 90.2 1.3% 3.5% 234
    43 Montgomery County-Bucks County-Chester County, PA Metro Div 31.5 91.2 1.3% -0.5% 242
    44 Phoenix-Mesa-Scottsdale, AZ 30.9 117.1 -0.2% 5.0% 244
    45 Middlesex-Monmouth-Ocean, NJ 30.8 43.7 1.4% -1.2% 246
    46 Virginia Beach-Norfolk-Newport News, VA-NC 30.7 54.7 0.1% 3.4% 247
    47 Jacksonville, FL 30.5 28.0 1.6% -0.1% 250
    48 Omaha-Council Bluffs, NE-IA 30.1 32.0 -1.4% 2.6% 252
    49 Salt Lake City, UT 29.7 54.0 -0.2% 5.1% 257
    50 Kansas City, KS 29.2 30.1 1.9% -3.3% 260
    51 Northern Virginia, VA 28.9 23.9 0.4% -0.8% 263
    52 San Antonio-New Braunfels, TX 28.6 45.7 -0.9% 5.6% 266
    53 Richmond, VA 28.5 31.0 0.3% -2.8% 267
    54 Silver Spring-Frederick-Rockville, MD Metro Div 28.3 16.4 1.9% -6.5% 268
    55 Dallas-Plano-Irving, TX Metro Div 28.0 166.3 1.1% -0.9% 269
    56 Memphis, TN-MS-AR 27.4 44.4 0.8% -1.1% 274
    57 Boston-Cambridge-Newton, MA NECTA Div 26.0 82.2 -0.3% -0.8% 288
    58 Camden, NJ Metro Div 24.1 35.2 0.3% -7.5% 299
    59 Los Angeles-Long Beach-Glendale, CA Metro Div 24.0 363.9 -1.0% -2.9% 300
    60 Chicago-Naperville-Arlington Heights, IL Metro Div 23.2 278.2 -0.8% -1.5% 305
    61 Rochester, NY 22.6 58.8 -0.6% -4.1% 312
    62 New York City, NY 22.1 74.7 -2.4% -3.3% 317
    63 Newark, NJ-PA Metro Div 21.5 79.8 -1.8% -5.4% 320
    64 Nassau County-Suffolk County, NY Metro Div 20.7 71.5 -2.1% -2.4% 322
    65 Hartford-West Hartford-East Hartford, CT NECTA 19.9 54.9 -1.4% -3.1% 324
    66 Bergen-Hudson-Passaic, NJ 19.2 57.2 -2.6% -5.7% 327
    67 Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Div 18.4 33.3 -1.3% -10.7% 334
    68 Philadelphia City, PA 17.0 21.4 -1.2% -14.2% 336
    69 Orange-Rockland-Westchester, NY 13.5 29.3 -3.4% -9.7% 355
    70 New Orleans-Metairie, LA 9.8 30.1 -5.0% -15.3% 361
  • All Cities Manufacturing Jobs – 2015 Best Cities Rankings

    Read about how we selected the 2015 Best Cities for Job Growth

    We used five measures of growth to rank MSAs over the past 10 years. “Large” areas include those with a current nonfarm employment base of at least 450,000 jobs. “Midsize” areas range from 150,000 to 450,000 jobs. “Small” areas have as many as 150,000 jobs. This year’s rankings reflect the new Office of Management and Budget definitions of MSAs for all series released after March 2015. As a result, the MSA listed in this year’s rankings do not necessary correspond directly to those listed in prior years. In some instances, MSAs were consolidated with others — for example Pascagoula, MS, was combined with the Gulfport-Biloxi, MS, MSA to form the new Gulfport-Biloxi-Pascagoula, MS, MSA. Others were separated from previously consolidated MSAs and in still other instances individual counties were shifted from one MSA to another. The bottom line is that this year’s rankings are based on good time series for the newly defined MSAs but may not be precisely comparable to those listed in prior years. The total number of MSAs included in this year’s rankings has risen from 398 to 421. This year’s rankings reflect the current size of each MSA’s employment.

    2015 Overall Mfg Rank Area Weighted INDEX 2014 Mfg Emplmt (1000s) Total Mfg Emplmt Growth Rate 2013-2014 Total Mfg Emplmt Cum Growth
    2009-2014
    1 Madera, CA 74.4 4.6 10.3% 59.8%
    2 Naples-Immokalee-Marco Island, FL 74.0 3.5 10.5% 40.0%
    3 Sebastian-Vero Beach, FL 71.3 2.1 4.9% 39.1%
    4 San Rafael, CA Metro Div 70.5 3.8 17.7% 76.6%
    5 Midland, TX 68.9 4.1 8.8% 72.2%
    6 Grants Pass, OR 68.6 2.9 19.2% 26.1%
    7 Pueblo, CO 68.4 4.8 7.5% 22.2%
    8 Merced, CA 68.3 10.7 26.8% 35.3%
    9 Lewiston, ID-WA 67.7 4.1 2.5% 40.9%
    10 College Station-Bryan, TX 67.2 6.2 10.7% 19.2%
    11 Elizabethtown-Fort Knox, KY 66.4 7.3 10.7% 42.5%
    12 Columbus, IN 65.5 19.2 7.4% 43.2%
    13 Auburn-Opelika, AL 65.1 6.6 5.9% 19.3%
    14 Mount Vernon-Anacortes, WA 65.0 6.1 7.6% 26.9%
    15 Idaho Falls, ID 64.1 3.9 4.5% 34.9%
    16 Detroit-Dearborn-Livonia, MI Metro Div 63.6 89.3 9.8% 31.3%
    17 Kokomo, IN 63.3 11.6 4.8% 42.6%
    18 Odessa, TX 63.0 5.8 7.4% 46.2%
    19 Toledo, OH 62.7 44.0 6.7% 27.4%
    20 Warren-Troy-Farmington Hills, MI Metro Div 61.2 157.9 5.1% 38.8%
    21 Bend-Redmond, OR 60.9 4.5 5.4% 24.8%
    22 Elkhart-Goshen, IN 60.8 57.8 3.9% 41.9%
    23 Santa Cruz-Watsonville, CA 60.5 6.4 6.0% 23.7%
    24 Monroe, MI 60.3 5.6 8.4% 28.5%
    25 Napa, CA 59.9 12.3 8.5% 17.9%
    26 Savannah, GA 59.8 16.5 6.2% 20.5%
    27 Medford, OR 59.6 7.6 6.1% 24.0%
    28 Jackson, MI 59.5 9.6 4.0% 33.8%
    29 Vallejo-Fairfield, CA 58.9 11.1 7.4% 16.0%
    30 Prescott, AZ 58.7 3.3 1.0% 31.6%
    31 Fort Collins, CO 58.5 12.6 7.1% 20.4%
    32 Lafayette-West Lafayette, IN 58.5 17.3 4.4% 26.7%
    33 Baton Rouge, LA 57.6 29.5 4.5% 20.2%
    34 Chambersburg-Waynesboro, PA 57.5 10.0 3.1% 31.4%
    35 Cape Coral-Fort Myers, FL 57.5 5.1 4.8% 20.3%
    36 St. George, UT 57.2 2.8 3.7% 25.4%
    37 Kennewick-Richland, WA 57.2 7.7 7.5% 15.6%
    38 Portsmouth, NH-ME NECTA 57.1 7.6 3.2% 21.2%
    39 Tuscaloosa, AL 57.1 15.2 8.9% 12.9%
    40 Grand Rapids-Wyoming, MI 57.0 104.3 3.7% 27.9%
    41 Bakersfield, CA 56.5 15.0 4.9% 17.8%
    42 Flint, MI 56.4 12.5 4.5% 31.2%
    43 Grand Forks, ND-MN 56.3 4.0 8.1% 11.1%
    44 Muskegon, MI 56.2 13.2 3.9% 33.8%
    45 Port St. Lucie, FL 55.9 6.0 2.3% 24.3%
    46 Nashville-Davidson–Murfreesboro–Franklin, TN 55.5 79.7 3.4% 23.9%
    47 San Luis Obispo-Paso Robles-Arroyo Grande, CA 55.2 6.9 6.2% 19.7%
    48 Springfield, MO 55.2 15.1 5.9% 19.9%
    49 Lafayette, LA 55.1 20.2 0.0% 34.3%
    50 Columbia, SC 55.0 30.6 7.0% 13.7%
    51 Niles-Benton Harbor, MI 54.1 13.1 4.3% 17.0%
    52 Reno, NV 54.0 12.9 2.4% 15.5%
    53 Ocala, FL 53.7 7.4 6.7% 13.8%
    54 Morgantown, WV 53.5 4.5 3.1% 21.6%
    55 Charleston-North Charleston, SC 53.3 25.1 3.7% 21.4%
    56 Lansing-East Lansing, MI 53.2 19.7 1.5% 20.1%
    57 Madison, WI 52.9 34.1 6.8% 12.0%
    58 Deltona-Daytona Beach-Ormond Beach, FL 52.5 10.3 0.7% 22.1%
    59 Spartanburg, SC 52.5 28.4 5.3% 16.6%
    60 Ogden-Clearfield, UT 52.4 29.8 3.8% 13.6%
    61 Lima, OH 52.3 8.8 5.6% 11.9%
    62 Fond du Lac, WI 52.2 11.1 0.9% 28.2%
    63 Kankakee, IL 52.1 5.8 -0.6% 27.7%
    64 Appleton, WI 52.1 24.1 4.8% 17.2%
    65 Greeley, CO 52.1 12.0 4.6% 17.2%
    66 Albany-Schenectady-Troy, NY 52.0 24.5 2.8% 19.9%
    67 Panama City, FL 51.8 3.7 0.9% 16.7%
    68 Oklahoma City, OK 51.7 37.9 2.4% 23.1%
    69 Stockton-Lodi, CA 51.7 18.8 7.0% 7.2%
    70 Florence-Muscle Shoals, AL 51.3 9.3 -3.1% 31.8%
    71 Bowling Green, KY 51.1 10.5 3.3% 20.7%
    72 Provo-Orem, UT 50.8 18.7 2.4% 16.4%
    73 North Port-Sarasota-Bradenton, FL 50.6 15.6 3.1% 19.1%
    74 Kalamazoo-Portage, MI 50.6 20.4 4.3% 11.9%
    75 Gettysburg, PA 50.5 6.9 4.0% 12.4%
    76 Kahului-Wailuku-Lahaina, HI 50.4 1.2 0.0% 20.0%
    77 Anchorage, AK 50.1 2.3 6.2% 16.9%
    78 Louisville/Jefferson County, KY-IN 50.1 74.9 3.2% 23.1%
    79 Yakima, WA 49.9 8.4 4.1% 16.7%
    80 Pensacola-Ferry Pass-Brent, FL 49.7 6.1 3.4% 14.5%
    81 Beaumont-Port Arthur, TX 49.6 22.4 3.7% 16.5%
    82 Bellingham, WA 49.6 9.3 2.2% 22.5%
    83 Lakeland-Winter Haven, FL 49.1 16.5 0.8% 15.4%
    84 Tulsa, OK 49.1 52.1 3.7% 20.6%
    85 Kansas City, MO 49.0 41.8 5.1% 8.6%
    86 Janesville-Beloit, WI 49.0 9.4 2.9% 17.1%
    87 Houston-The Woodlands-Sugar Land, TX 48.8 257.3 2.4% 19.8%
    88 Danville, IL 48.6 5.3 12.9% 9.0%
    89 Mobile, AL 48.6 18.9 0.7% 32.4%
    90 Sioux Falls, SD 48.5 13.9 3.0% 17.2%
    91 Boulder, CO 48.5 17.7 2.5% 18.8%
    92 Sheboygan, WI 48.5 20.5 2.7% 11.2%
    93 Trenton, NJ 48.3 9.4 8.5% 1.4%
    94 Santa Fe, NM 47.8 0.9 4.0% 8.3%
    95 Canton-Massillon, OH 47.7 28.4 2.8% 18.0%
    96 Greenville-Anderson-Mauldin, SC 47.6 54.7 2.8% 13.6%
    97 Wenatchee, WA 47.5 2.5 1.4% 17.5%
    98 Battle Creek, MI 47.5 11.5 3.0% 12.1%
    99 Coeur d’Alene, ID 47.2 4.9 -3.3% 21.7%
    100 Ithaca, NY 47.0 3.5 2.0% 16.9%
    101 Visalia-Porterville, CA 47.0 12.2 5.2% 8.0%
    102 Chico, CA 47.0 3.8 4.5% 15.0%
    103 Portland-Vancouver-Hillsboro, OR-WA 46.8 119.1 2.8% 12.7%
    104 Yuma, AZ 46.8 2.2 1.5% 31.4%
    105 Sumter, SC 46.6 6.6 3.1% 8.2%
    106 Jackson, MS 45.9 18.2 4.8% 9.6%
    107 Lincoln, NE 45.8 14.1 3.2% 12.8%
    108 Winston-Salem, NC 45.6 31.0 4.6% 4.1%
    109 Fargo, ND-MN 45.6 10.3 1.0% 19.8%
    110 Longview, WA 45.4 6.5 2.1% 12.0%
    111 Olympia-Tumwater, WA 45.4 3.3 4.2% 7.6%
    112 Bismarck, ND 45.4 2.0 5.2% -1.6%
    113 Santa Maria-Santa Barbara, CA 45.3 12.5 4.7% 9.6%
    114 Salem, OR 45.1 11.7 3.5% 5.7%
    115 Dalton, GA 44.8 23.2 7.2% -1.7%
    116 Wausau, WI 44.8 15.6 3.1% 7.3%
    117 Saginaw, MI 44.8 11.9 -0.8% 27.1%
    118 Des Moines-West Des Moines, IA 44.7 20.0 1.5% 13.0%
    119 Punta Gorda, FL 44.6 0.7 0.0% 40.0%
    120 Fort Wayne, IN 44.6 34.9 1.4% 14.7%
    121 Evansville, IN-KY 44.6 23.0 5.3% 4.7%
    122 Myrtle Beach-Conway-North Myrtle Beach, SC-NC 44.5 4.6 3.7% 8.6%
    123 Harrisburg-Carlisle, PA 44.5 21.0 4.1% 5.5%
    124 Springfield, OH 44.3 6.7 2.0% 10.5%
    125 Rockford, IL 44.3 32.1 2.0% 24.1%
    126 Gadsden, AL 44.0 5.2 4.7% 8.3%
    127 Gary, IN Metro Div 43.8 37.2 2.7% 10.1%
    128 West Palm Beach-Boca Raton-Delray Beach, FL Metro Div 43.8 16.8 3.7% 5.5%
    129 Eugene, OR 43.6 13.0 1.8% 8.9%
    130 Minneapolis-St. Paul-Bloomington, MN-WI 43.4 192.6 2.9% 10.5%
    131 Denver-Aurora-Lakewood, CO 43.4 66.4 3.8% 8.4%
    132 Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metro Div 43.3 27.2 2.5% 7.1%
    133 Youngstown-Warren-Boardman, OH-PA 43.3 30.7 1.7% 17.5%
    134 Grand Junction, CO 43.2 2.8 1.2% 12.0%
    135 San Jose-Sunnyvale-Santa Clara, CA 43.2 161.5 3.4% 8.0%
    136 Dayton, OH 43.2 39.6 3.3% 12.4%
    137 Montgomery, AL 42.7 18.9 2.9% 11.2%
    138 Barnstable Town, MA NECTA 42.6 3.0 1.1% 9.6%
    139 Orlando-Kissimmee-Sanford, FL 42.2 39.8 2.9% 5.8%
    140 Lake Charles, LA 42.1 9.4 2.9% 5.2%
    141 Lake County-Kenosha County, IL-WI Metro Div 42.0 59.1 1.5% 9.1%
    142 Greenville, NC 41.6 6.8 3.0% 13.4%
    143 Pittsfield, MA NECTA 41.6 3.9 6.4% 0.0%
    144 Fort Worth-Arlington, TX Metro Div 41.5 96.9 2.0% 11.6%
    145 Riverside-San Bernardino-Ontario, CA 41.5 90.8 2.5% 6.9%
    146 Boise City, ID 41.4 24.8 1.8% 11.5%
    147 Sacramento–Roseville–Arden-Arcade, CA 41.3 35.0 3.0% 6.4%
    148 Redding, CA 41.3 2.3 1.5% 1.5%
    149 Racine, WI 41.2 18.8 0.7% 16.0%
    150 Indianapolis-Carmel-Anderson, IN 41.1 90.6 3.3% 5.6%
    151 Reading, PA 41.1 30.5 2.2% 10.6%
    152 Huntington-Ashland, WV-KY-OH 40.7 11.5 3.6% 4.9%
    153 Bremerton-Silverdale, WA 40.6 2.1 0.0% 10.5%
    154 Clarksville, TN-KY 40.4 10.1 3.1% 9.4%
    155 Raleigh, NC 40.4 31.9 2.9% 6.0%
    156 Miami-Miami Beach-Kendall, FL Metro Div 40.4 37.7 2.0% 5.0%
    157 South Bend-Mishawaka, IN-MI 40.2 17.1 3.6% 7.6%
    158 Watertown-Fort Drum, NY 40.2 2.4 6.0% 0.0%
    159 Columbus, GA-AL 40.2 10.8 -0.9% 16.9%
    160 Spokane-Spokane Valley, WA 40.1 16.9 1.8% 7.9%
    161 Lewiston-Auburn, ME NECTA 40.1 5.2 4.0% 1.3%
    162 Charlottesville, VA 40.0 3.8 4.6% 0.0%
    163 Haverhill-Newburyport-Amesbury Town, MA-NH NECTA Div 39.9 9.1 0.4% 9.7%
    164 Hickory-Lenoir-Morganton, NC 39.8 39.0 2.4% 5.2%
    165 Burlington, NC 39.7 8.7 5.2% 4.0%
    166 Atlanta-Sandy Springs-Roswell, GA 39.6 153.7 2.2% 8.5%
    167 Charlotte-Concord-Gastonia, NC-SC 39.5 100.5 2.4% 9.5%
    168 Dover-Durham, NH-ME NECTA 39.4 5.2 1.3% 7.6%
    169 Cincinnati, OH-KY-IN 39.1 109.4 1.8% 5.9%
    170 Hanford-Corcoran, CA 39.0 4.2 0.8% 5.0%
    171 St. Cloud, MN 38.9 15.3 2.0% 7.5%
    172 Lexington-Fayette, KY 38.9 30.7 2.7% 3.0%
    173 Abilene, TX 38.8 2.9 3.6% -1.1%
    174 Walla Walla, WA 38.6 3.6 0.9% 9.2%
    175 Oakland-Hayward-Berkeley, CA Metro Div 38.5 82.8 2.6% 3.3%
    176 Albany, OR 38.4 7.0 1.4% 5.0%
    177 Rapid City, SD 38.3 2.8 -1.2% 13.5%
    178 Logan, UT-ID 38.2 11.3 1.8% 6.9%
    179 St. Louis, MO-IL 38.1 113.1 2.7% 5.2%
    180 Longview, TX 38.1 10.5 6.8% -0.6%
    181 San Angelo, TX 38.0 3.5 9.4% 2.9%
    182 Cleveland, TN 38.0 8.9 -2.9% 18.7%
    183 San Francisco-Redwood City-South San Francisco, CA Metro Div 38.0 36.0 2.1% 2.0%
    184 Mansfield, OH 37.9 9.6 1.4% 9.1%
    185 Erie, PA 37.8 22.2 1.1% 14.7%
    186 Chattanooga, TN-GA 37.8 30.8 1.1% 11.3%
    187 Morristown, TN 37.6 10.3 1.0% 0.0%
    188 Roanoke, VA 37.4 16.7 2.4% 5.7%
    189 Flagstaff, AZ 37.4 4.2 0.8% 15.5%
    190 Green Bay, WI 37.2 29.2 0.8% 8.0%
    191 Las Vegas-Henderson-Paradise, NV 37.1 21.2 0.5% 5.8%
    192 Providence-Warwick, RI-MA NECTA 37.0 52.2 2.4% 2.8%
    193 Austin-Round Rock, TX 36.9 57.7 -0.3% 10.7%
    194 Owensboro, KY 36.5 8.5 1.2% 7.2%
    195 Dover, DE 36.4 4.8 1.4% 3.6%
    196 Tampa-St. Petersburg-Clearwater, FL 36.4 61.2 0.9% 5.0%
    197 Kingston, NY 36.3 3.5 4.0% -1.9%
    198 Knoxville, TN 36.2 35.5 1.5% 8.8%
    199 Tacoma-Lakewood, WA Metro Div 36.1 17.3 -0.2% 6.6%
    200 Milwaukee-Waukesha-West Allis, WI 36.1 120.9 1.3% 8.1%
    201 Casper, WY 36.0 1.8 0.0% 17.0%
    202 Seattle-Bellevue-Everett, WA Metro Div 35.9 169.9 0.0% 12.9%
    203 Asheville, NC 35.8 19.0 1.1% 6.7%
    204 Elgin, IL Metro Div 35.8 34.9 1.2% 8.8%
    205 Taunton-Middleborough-Norton, MA NECTA Div 35.6 6.2 1.1% 1.6%
    206 Sioux City, IA-NE-SD 35.5 15.2 1.3% 1.3%
    207 Anaheim-Santa Ana-Irvine, CA Metro Div 35.1 160.1 1.1% 7.2%
    208 Davenport-Moline-Rock Island, IA-IL 34.8 24.3 -0.4% 11.3%
    209 Greensboro-High Point, NC 34.7 53.8 0.9% 6.1%
    210 San Diego-Carlsbad, CA 34.7 97.0 1.0% 5.2%
    211 Birmingham-Hoover, AL 34.7 38.4 -0.5% 7.3%
    212 Muncie, IN 34.4 4.2 0.8% 9.6%
    213 Allentown-Bethlehem-Easton, PA-NJ 34.3 35.7 2.2% 1.4%
    214 Santa Rosa, CA 34.0 20.2 0.5% 2.9%
    215 Buffalo-Cheektowaga-Niagara Falls, NY 34.0 52.2 0.4% 5.1%
    216 Killeen-Temple, TX 34.0 7.4 0.9% 1.8%
    217 Little Rock-North Little Rock-Conway, AR 33.9 20.3 3.2% -2.2%
    218 Columbus, OH 33.8 69.7 0.0% 6.8%
    219 Lake Havasu City-Kingman, AZ 33.8 2.8 2.4% 0.0%
    220 Corpus Christi, TX 33.5 9.9 1.7% 5.3%
    221 Sherman-Denison, TX 33.5 5.4 1.9% 5.9%
    222 Monroe, LA 33.4 6.8 1.0% 3.0%
    223 Fresno, CA 33.1 23.2 2.7% -2.2%
    224 Waterloo-Cedar Falls, IA 32.9 17.3 -1.7% 12.1%
    225 Brownsville-Harlingen, TX 32.9 5.8 3.0% 0.0%
    226 Kingsport-Bristol-Bristol, TN-VA 32.9 21.6 1.4% 4.7%
    227 Michigan City-La Porte, IN 32.8 7.6 1.8% 5.6%
    228 Brockton-Bridgewater-Easton, MA NECTA Div 32.8 5.5 0.0% -0.6%
    229 Eau Claire, WI 32.7 10.4 0.0% 6.8%
    230 Cleveland-Elyria, OH 32.6 124.0 -0.2% 7.6%
    231 Akron, OH 32.6 39.9 0.3% 7.3%
    232 Urban Honolulu, HI 32.2 11.0 0.6% 2.8%
    233 Colorado Springs, CO 32.1 11.8 -1.4% 5.7%
    234 Pittsburgh, PA 32.1 90.2 1.3% 3.5%
    235 Fort Smith, AR-OK 32.1 18.2 2.4% -8.5%
    236 Yuba City, CA 32.0 2.1 0.0% 8.6%
    237 Fayetteville-Springdale-Rogers, AR-MO 31.9 27.5 2.1% -4.5%
    238 Lawton, OK 31.8 3.6 0.0% 0.9%
    239 Jackson, TN 31.8 9.7 1.4% -1.0%
    240 Anniston-Oxford-Jacksonville, AL 31.6 5.9 1.1% -0.6%
    241 Lowell-Billerica-Chelmsford, MA-NH NECTA Div 31.5 22.2 0.3% 1.5%
    242 Montgomery County-Bucks County-Chester County, PA Metro Div 31.5 91.2 1.3% -0.5%
    243 Lubbock, TX 31.0 4.9 2.8% 0.7%
    244 Phoenix-Mesa-Scottsdale, AZ 30.9 117.1 -0.2% 5.0%
    245 La Crosse-Onalaska, WI-MN 30.8 8.5 -1.2% 5.8%
    246 Middlesex-Monmouth-Ocean, NJ 30.8 43.7 1.4% -1.2%
    247 Virginia Beach-Norfolk-Newport News, VA-NC 30.7 54.7 0.1% 3.4%
    248 Salisbury, MD-DE 30.6 14.2 1.2% -2.1%
    249 Johnson City, TN 30.6 7.6 3.2% -3.8%
    250 Jacksonville, FL 30.5 28.0 1.6% -0.1%
    251 New Bedford, MA NECTA 30.5 7.9 3.5% 0.9%
    252 Omaha-Council Bluffs, NE-IA 30.1 32.0 -1.4% 2.6%
    253 Ann Arbor, MI 30.0 14.1 0.5% 2.4%
    254 Bloomington, IL 29.8 4.8 -2.0% 7.5%
    255 Lancaster, PA 29.8 35.9 0.7% -0.5%
    256 Champaign-Urbana, IL 29.8 8.1 1.3% 2.1%
    257 Salt Lake City, UT 29.7 54.0 -0.2% 5.1%
    258 Durham-Chapel Hill, NC 29.5 30.4 1.4% -3.5%
    259 Vineland-Bridgeton, NJ 29.4 8.3 0.4% -0.4%
    260 Kansas City, KS 29.2 30.1 1.9% -3.3%
    261 Charleston, WV 29.1 3.4 -1.0% -1.9%
    262 Shreveport-Bossier City, LA 29.0 10.9 1.9% -5.2%
    263 Northern Virginia, VA 28.9 23.9 0.4% -0.8%
    264 Topeka, KS 28.9 7.1 0.9% 2.9%
    265 Rome, GA 28.8 5.7 1.8% -7.6%
    266 San Antonio-New Braunfels, TX 28.6 45.7 -0.9% 5.6%
    267 Richmond, VA 28.5 31.0 0.3% -2.8%
    268 Silver Spring-Frederick-Rockville, MD Metro Div 28.3 16.4 1.9% -6.5%
    269 Dallas-Plano-Irving, TX Metro Div 28.0 166.3 1.1% -0.9%
    270 Augusta-Richmond County, GA-SC 27.7 20.3 0.0% 0.5%
    271 Oxnard-Thousand Oaks-Ventura, CA 27.7 30.2 0.1% -3.3%
    272 Scranton–Wilkes-Barre–Hazleton, PA 27.6 27.5 0.0% -2.2%
    273 Lawrence-Methuen Town-Salem, MA-NH NECTA Div 27.5 9.4 -0.7% 1.4%
    274 Memphis, TN-MS-AR 27.4 44.4 0.8% -1.1%
    275 Cheyenne, WY 27.3 1.4 -2.4% -6.8%
    276 Cedar Rapids, IA 27.3 20.1 0.5% -0.2%
    277 Lynchburg, VA 27.2 14.6 0.0% -0.9%
    278 Texarkana, TX-AR 27.2 5.3 1.3% -1.3%
    279 Norwich-New London-Westerly, CT-RI NECTA 27.1 14.8 -0.2% -2.8%
    280 Gulfport-Biloxi-Pascagoula, MS 26.8 19.2 0.5% -10.8%
    281 Peabody-Salem-Beverly, MA NECTA Div 26.7 7.7 -0.9% -0.9%
    282 Utica-Rome, NY 26.5 11.1 -0.9% -2.1%
    283 Tyler, TX 26.5 5.6 1.8% -17.2%
    284 Altoona, PA 26.3 7.5 -1.7% 2.3%
    285 Joplin, MO 26.3 12.8 1.1% -5.4%
    286 Duluth, MN-WI 26.0 7.1 -1.8% 6.5%
    287 Decatur, AL 26.0 11.9 -2.2% 0.0%
    288 Boston-Cambridge-Newton, MA NECTA Div 26.0 82.2 -0.3% -0.8%
    289 Carson City, NV 25.8 2.6 -3.7% 2.7%
    290 Worcester, MA-CT NECTA 25.7 27.1 0.2% -4.7%
    291 Syracuse, NY 25.6 24.5 1.2% -8.8%
    292 Huntsville, AL 25.6 23.2 0.7% -7.6%
    293 Peoria, IL 25.6 26.6 -1.4% 7.8%
    294 Amarillo, TX 25.0 13.1 -1.8% 1.0%
    295 State College, PA 24.9 3.9 -1.7% 3.5%
    296 Bloomington, IN 24.8 8.6 0.4% 1.6%
    297 Victoria, TX 24.8 2.6 0.0% 1.3%
    298 Albany, GA 24.3 4.3 0.0% -4.4%
    299 Camden, NJ Metro Div 24.1 35.2 0.3% -7.5%
    300 Los Angeles-Long Beach-Glendale, CA Metro Div 24.0 363.9 -1.0% -2.9%
    301 Manchester, NH NECTA 23.8 7.7 -0.9% -3.3%
    302 Bloomsburg-Berwick, PA 23.8 5.6 -2.9% 0.6%
    303 Palm Bay-Melbourne-Titusville, FL 23.7 20.1 1.3% -4.6%
    304 Waco, TX 23.3 14.4 -2.7% 0.9%
    305 Chicago-Naperville-Arlington Heights, IL Metro Div 23.2 278.2 -0.8% -1.5%
    306 Terre Haute, IN 23.2 10.9 -4.1% 6.2%
    307 Springfield, IL 22.9 3.0 0.0% -8.2%
    308 Wichita, KS 22.9 52.3 -1.3% -1.1%
    309 East Stroudsburg, PA 22.8 4.6 0.7% -9.2%
    310 El Paso, TX 22.8 17.1 -2.3% 3.2%
    311 Lebanon, PA 22.6 8.7 -3.7% 2.3%
    312 Rochester, NY 22.6 58.8 -0.6% -4.1%
    313 McAllen-Edinburg-Mission, TX 22.4 6.3 -1.6% -0.5%
    314 Nashua, NH-MA NECTA Div 22.4 19.7 0.3% -6.6%
    315 Decatur, IL 22.3 10.1 0.0% 0.3%
    316 Framingham, MA NECTA Div 22.1 25.5 -1.2% -2.3%
    317 New York City, NY 22.1 74.7 -2.4% -3.3%
    318 Leominster-Gardner, MA NECTA 21.8 6.1 -0.5% -10.7%
    319 Portland-South Portland, ME NECTA 21.5 12.1 -0.3% -4.0%
    320 Newark, NJ-PA Metro Div 21.5 79.8 -1.8% -5.4%
    321 Rochester, MN 21.4 10.7 0.0% -2.7%
    322 Nassau County-Suffolk County, NY Metro Div 20.7 71.5 -2.1% -2.4%
    323 Rocky Mount, NC 20.0 10.2 -1.6% -7.0%
    324 Hartford-West Hartford-East Hartford, CT NECTA 19.9 54.9 -1.4% -3.1%
    325 Salinas, CA 19.8 5.0 -3.2% -5.6%
    326 York-Hanover, PA 19.7 30.6 -1.1% -6.8%
    327 Bergen-Hudson-Passaic, NJ 19.2 57.2 -2.6% -5.7%
    328 Wilmington, DE-MD-NJ Metro Div 19.2 17.8 -2.0% -4.6%
    329 Glens Falls, NY 19.1 6.0 -1.1% -4.8%
    330 Gainesville, FL 19.0 4.2 -0.8% -3.8%
    331 Williamsport, PA 18.6 8.0 -1.2% -9.1%
    332 Hagerstown-Martinsburg, MD-WV 18.5 7.5 -3.0% -6.7%
    333 Corvallis, OR 18.4 3.0 0.0% -12.7%
    334 Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Div 18.4 33.3 -1.3% -10.7%
    335 Baltimore City, MD 18.2 11.8 -0.6% -13.0%
    336 Philadelphia City, PA 17.0 21.4 -1.2% -14.2%
    337 Tucson, AZ 16.9 22.4 -1.9% -8.3%
    338 Atlantic City-Hammonton, NJ 16.9 2.0 0.0% -10.3%
    339 Wichita Falls, TX 16.7 5.1 -3.7% -3.7%
    340 Waterbury, CT NECTA 16.3 7.3 -6.0% -3.1%
    341 Modesto, CA 16.2 18.4 -6.6% -4.2%
    342 Bay City, MI 16.2 3.8 -3.4% -5.0%
    343 Sierra Vista-Douglas, AZ 16.1 0.5 -6.3% -11.8%
    344 New Haven, CT NECTA 16.0 24.3 -3.1% -8.5%
    345 Hattiesburg, MS 15.8 4.0 -2.4% -4.8%
    346 Burlington-South Burlington, VT NECTA 15.5 13.4 -3.1% -5.0%
    347 Albuquerque, NM 15.2 16.4 -3.3% -5.6%
    348 Weirton-Steubenville, WV-OH 15.2 5.5 -3.5% -12.8%
    349 Bridgeport-Stamford-Norwalk, CT NECTA 15.0 32.0 -3.0% -9.7%
    350 Johnstown, PA 14.6 3.8 -1.7% -14.3%
    351 Springfield, MA-CT NECTA 14.3 29.1 -3.7% -7.2%
    352 Oshkosh-Neenah, WI 14.2 22.0 -2.4% -7.4%
    353 Delaware County, PA 14.1 14.6 -3.1% -8.5%
    354 Elmira, NY 13.8 5.1 0.0% -11.0%
    355 Orange-Rockland-Westchester, NY 13.5 29.3 -3.4% -9.7%
    356 Lynn-Saugus-Marblehead, MA NECTA Div 13.4 4.5 -3.6% -7.5%
    357 Calvert-Charles-Prince George’s, MD 11.7 7.8 -2.1% -27.2%
    358 Fairbanks, AK 10.6 0.5 -21.1% -11.8%
    359 Wilmington, NC 10.6 5.7 -3.9% -14.9%
    360 Parkersburg-Vienna, WV 9.9 3.0 -4.3% -16.0%
    361 New Orleans-Metairie, LA 9.8 30.1 -5.0% -15.3%
    362 Tallahassee, FL 9.7 2.9 -1.1% -22.1%
    363 Wheeling, WV-OH 9.7 3.0 -5.3% -16.7%
    364 Laredo, TX 9.2 0.7 -12.5% -12.5%
    365 Dutchess County-Putnam County, NY Metro Div 7.8 10.4 -4.3% -19.1%
    366 Bangor, ME NECTA 7.1 2.4 -4.1% -25.3%
    367 Fayetteville, NC 6.9 7.9 -5.6% -18.5%
    368 Dothan, AL 6.9 4.3 -7.9% -23.7%
    369 Crestview-Fort Walton Beach-Destin, FL 6.7 3.5 -8.7% -22.8%
    370 Las Cruces, NM 6.4 2.5 -7.5% -17.8%
    371 Binghamton, NY 5.3 11.6 -2.8% -21.3%
    372 Pocatello, ID 0.2 1.5 -16.4% -28.1%
    373 El Centro, CA 0.0 1.0 -56.5% -61.5%
  • The Cities Creating The Most White-Collar Jobs

    In our modern economy, the biggest wellspring of new jobs isn’t the information sector, as hype might lead some to think, but the somewhat nebulous category of business services. Over the past decade, business services has emerged as easily the largest high-wage sector in the United States, employing 19.1 million people. These are the white-collar jobs that most people believe offer a ladder into the middle class. Dominated by administrative services and management jobs, the sector also includes critical skilled workers in legal services, design services, scientific research , and even a piece of the tech sector with computer systems and design. Since 2004, while the number of manufacturing and information jobs in the U.S. has fallen, the business services sector has grown 21%, adding 3.4 million positions.

    Given these facts, mapping the geography of business services employment growth is crucial to getting a grip on the emerging shape of regional economies. And because business services cover such a wide spectrum of activities, there is no one kind of area that does best. Business services thrive in a host of often different environments, far more so than the more narrow patterns we see in manufacturing or information. 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 2003, 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-Service Hubs
    Increasingly much of what we call tech is really about business services. Companies that primarily use technology to sell a product generally require many ancillary services, from accounting and public relations to market research. Apple, Google, and Facebook clearly demand many services, and that’s one reason why San Jose-Sunnyvale-Santa Clara ranks first on our big metro areas list (those with at least 450,000 jobs). Since 2009, business service employment has expanded 34.7% in the area; just last year the sector expanded 7.9%. The Bay Area’s other tech rich region, San Francisco-Redwood City-South San Francisco, ranks second.

    This linkage of tech with business services can be seen in other information-oriented parts of the country. Both third-ranked Raleigh, N.C., and No. 5 Austin, Texas, are also tech hubs, and boast rapidly expanding business service sectors. They are also much less expensive places to do business, which may suggest these areas will be well positioned to capture more service jobs if bubble-licious stock and real estate prices undermine some of the economic logic that has driven business in the Bay Area.

    The key here may also be cultural. Workers in business services tend to be well educated, and younger employees may well share the lifestyle preferences that have led workers to the Bay Area, as well as such moderately hip places as Austin. Their higher wages help defray the spiraling costs of living in these desired locations and millennials’ and, at least until their 30s, keep them closer to the urban core.

    Sun Belt Service Boom Towns
    The balance of our top 10 business service locations are all in the Sun Belt. For the most part, these are lower cost places that have enough amenities and transportation links to attract and nurture business service firms. The strongest example is Nashville, ranked fourth on our list, where business service employment has soared 41.4% over the past five years. Much of this growth is tied to health services, entertainment and staffing services.

    The re-emergence of No. 10 Atlanta-Sandy Springs-Roswell is particularly marked, as we saw in our overall rankings. Business service growth has led economist Marci Rossell to predict a net gain of 140,000 jobs for the metro area this year, which would be the first time it has netted more than 100,000 since 1999.

    The Traditional Big Players
    Business services have long clustered in the largest American cities. But with the exception of the Bay Area, greater Dallas and Atlanta, few of our biggest metro areas did particularly well on our list. Indeed of those areas with over 2 million business service jobs, the next highest ranking belongs to No. 21 Houston, which has seen a healthy 27.8% growth in this sector since 2009.

    Other mega-regions have not done nearly as well. The largest business service economy, that of New York City, with over 4.1 million jobs in this sector, ranks 29th, with good but not spectacular 20.5% growth over the past five years. But New York, as we have seen on our overall list of The Best Cities For Jobs, consistently outpaces its major rivals. Chicago lags on our business services list in 42nd place, with 18.1% growth over the past five years, and Los Angeles, which once saw itself as a serious challenger to New York, ranks 44th, with 17.4% job growth over that span.

    Perhaps the biggest surprise has been the relatively weak record of the capital area. A major beneficiary of the stimulus, it appears now to be slipping in ways no one could have anticipated. The Washington- Arlington- Alexandria MSA, with over 2.5 million business service jobs, ranked 65th out of the 70 largest metro areas; neighboring Silver Spring-Frederick- Rockville won the dubious distinction of coming in dead last, the only large metro area to actually lose business service jobs. Washington’s “beltway bandits” have long thrived during periods of government growth. But after a boom during the early stimulus, Republican controls on spending have filtered into the business service economy. “D.C.,” noted the Washington City Paper, “went from the star of the recession to the runt of the recovery.”

    Potential Rising Stars
    Some might type-cast business service jobs as the domain of large metropolitan regions, clustered particularly in well-developed downtowns. Yet growth also is occurring in small and mid-sized cities, which often enjoy lower costs than their big city cousins. These are clearly some advantages to being in a big urban center in terms of amenities and face-to-face connections, but smaller cities are generally more attractive to middle class families, particularly to middle managers who might not be able to live decently in the hyper-expensive areas.

    One prime example is our fastest growing mid-sized region, Provo-Orem, Utah, where business service employment has surged 46.5% since 2009 to 29,600 jobs. Located south of Salt Lake City, and home to Brigham Young University, the area has long attracted manufacturers and tech firms, who provide a base for business service providers. Indeed small and mid-sized college towns have seen some of the most rapid growth. This includes our No. 1 small and overall metro area, Auburn-Opelika Ala., which has posted 66.7% growth in business services employment since 2009 (albeit off a small base – total employment in the metro area is just 60,700). Just behind is Tuscaloosa, Ala., another small town built around a big university (“Roll Tide”) and some smaller colleges. (For our overall top 10 list, click here.)

    But, as we have seen elsewhere, business service growth also tends to be strongest in areas with expanding other industries. For example, Fayetteville-Springdale-Rogers, Ark., ranked fourth on our mid-sized metro area list, is also home to Walmart, a company that provides opportunities for local business service firms. Overall 11 of the top 12 areas for business service job growth are small and one, Provo-Orem, is midsized.

    These rapidly growing service regions could prove big winners in the years ahead. As telecommunication technology consistently destroys the tyranny of distance, more service firms may find it less expensive, and convenient, to locate their activities elsewhere. Just as manufacturing shifted out of the bigger cities, we could soon see a movement of business service providers as well, which would be a great boom to hundreds of small and medium-size regions.

    Joel Kotkin is executive editor of NewGeography.com and Roger Hobbs Distinguished Fellow in Urban Studies at Chapman University, and a member of the editorial board of the Orange County Register. He is also executive director of the Houston-based Center for Opportunity Urbanism. His newest book, The New Class Conflict is now available at Amazon and Telos Press. He is also author of 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.

    Big Tiger Paw” by Josh Hallett – originally posted to Flickr as Big Tiger Paw. Licensed under CC BY 2.0 via Wikimedia Commons.

  • Large Business Services Jobs – 2015 Best Cities Rankings

    Read about how we selected the 2015 Best Cities for Job Growth

    We used five measures of growth to rank MSAs over the past 10 years. “Large” areas include those with a current nonfarm employment base of at least 450,000 jobs. “Midsize” areas range from 150,000 to 450,000 jobs. “Small” areas have as many as 150,000 jobs. This year’s rankings reflect the new Office of Management and Budget definitions of MSAs for all series released after March 2015. As a result, the MSA listed in this year’s rankings do not necessary correspond directly to those listed in prior years. In some instances, MSAs were consolidated with others — for example Pascagoula, MS, was combined with the Gulfport-Biloxi, MS, MSA to form the new Gulfport-Biloxi-Pascagoula, MS, MSA. Others were separated from previously consolidated MSAs and in still other instances individual counties were shifted from one MSA to another. The bottom line is that this year’s rankings are based on good time series for the newly defined MSAs but may not be precisely comparable to those listed in prior years. The total number of MSAs included in this year’s rankings has risen from 398 to 421. This year’s rankings reflect the current size of each MSA’s employment.

    2015 MSA Prof & Bus Svcs Large MSA Ranking Area 2015 Prof & Bus Svcs Weighted INDEX 2014 Prof & Bus Svcs Emplmt (1000s) Total Prof & Bus Svcs Emplmt Growth Rate 2013-2014 Total Prof & Bus Svcs Emplmt Cum Growth
    2009-2014
    2015 MSA Prof & Bus Svcs Overall Ranking
    1 San Jose-Sunnyvale-Santa Clara, CA 65.9   212.7 7.9% 34.7% 13
    2 San Francisco-Redwood City-South San Francisco, CA Metro Div 65.4   256.9 9.0% 42.3% 15
    3 Raleigh, NC 62.6   113.1 8.6% 36.5% 22
    4 Nashville-Davidson–Murfreesboro–Franklin, TN 59.1   136.8 4.3% 41.4% 38
    5 Austin-Round Rock, TX 57.3   150.3 4.3% 37.2% 44
    6 Dallas-Plano-Irving, TX Metro Div 57.2   437.4 6.8% 29.7% 45
    7 West Palm Beach-Boca Raton-Delray Beach, FL Metro Div 54.9   103.9 5.9% 25.0% 51
    8 Riverside-San Bernardino-Ontario, CA 53.8   144.8 8.3% 19.5% 54
    9 Charlotte-Concord-Gastonia, NC-SC 52.5   177.2 4.4% 26.8% 62
    10 Atlanta-Sandy Springs-Roswell, GA 51.6   469.1 5.2% 24.0% 67
    11 Grand Rapids-Wyoming, MI 51.1     79.5 2.7% 31.5% 68
    12 Miami-Miami Beach-Kendall, FL Metro Div 50.3   156.8 5.0% 25.8% 77
    13 Kansas City, KS 50.3     87.9 4.5% 28.0% 78
    14 Memphis, TN-MS-AR 50.1     97.2 3.8% 26.9% 80
    15 Portland-Vancouver-Hillsboro, OR-WA 49.9   164.8 3.8% 25.4% 81
    16 Louisville/Jefferson County, KY-IN 49.2     84.8 6.1% 20.9% 86
    17 Columbus, OH 48.9   179.0 4.0% 24.8% 89
    18 Hartford-West Hartford-East Hartford, CT NECTA 48.8     70.4 4.8% 21.3% 92
    19 Jacksonville, FL 48.7     99.7 3.2% 23.3% 93
    20 Las Vegas-Henderson-Paradise, NV 48.3   119.7 5.4% 20.6% 97
    21 Houston-The Woodlands-Sugar Land, TX 48.0   469.1 3.8% 27.8% 100
    22 Salt Lake City, UT 47.5   115.5 2.3% 26.1% 102
    23 Indianapolis-Carmel-Anderson, IN 47.4   156.5 1.1% 26.2% 103
    24 Oakland-Hayward-Berkeley, CA Metro Div 47.2   184.1 5.1% 23.1% 105
    25 Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metro Div 46.8   139.2 4.3% 19.9% 109
    26 Providence-Warwick, RI-MA NECTA 45.9     66.7 2.9% 17.2% 112
    27 Sacramento–Roseville–Arden-Arcade, CA 45.0   120.9 4.2% 21.1% 116
    28 San Antonio-New Braunfels, TX 44.9   123.3 5.7% 17.6% 117
    29 New York City, NY 44.5   682.2 4.1% 20.5% 120
    30 Anaheim-Santa Ana-Irvine, CA Metro Div 44.4   281.6 4.3% 17.2% 121
    31 Seattle-Bellevue-Everett, WA Metro Div 43.8   235.2 3.5% 21.9% 125
    32 Fort Worth-Arlington, TX Metro Div 42.9   114.0 3.1% 21.6% 131
    33 Camden, NJ Metro Div 41.6     81.1 2.8% 16.1% 140
    34 Warren-Troy-Farmington Hills, MI Metro Div 41.5   246.5 1.4% 26.6% 141
    35 Orlando-Kissimmee-Sanford, FL 41.4   187.8 4.4% 14.8% 143
    36 Oklahoma City, OK 41.4     81.9 4.7% 16.3% 144
    37 Denver-Aurora-Lakewood, CO 41.4   242.0 2.7% 20.4% 145
    38 Cincinnati, OH-KY-IN 41.0   171.4 3.7% 17.3% 147
    39 Phoenix-Mesa-Scottsdale, AZ 40.1   318.4 2.5% 17.6% 151
    40 Tampa-St. Petersburg-Clearwater, FL 39.8   203.9 1.9% 21.1% 154
    41 San Diego-Carlsbad, CA 39.4   236.1 3.3% 14.8% 160
    42 Chicago-Naperville-Arlington Heights, IL Metro Div 39.1   669.9 1.7% 18.1% 162
    43 Minneapolis-St. Paul-Bloomington, MN-WI 37.9   304.0 3.0% 17.1% 174
    44 Los Angeles-Long Beach-Glendale, CA Metro Div 37.4   613.8 0.5% 17.4% 181
    45 Boston-Cambridge-Newton, MA NECTA Div 36.4   331.8 1.8% 16.5% 190
    46 Urban Honolulu, HI 36.2     66.9 1.4% 16.3% 191
    47 Birmingham-Hoover, AL 36.2     65.5 5.3% 10.6% 192
    48 Detroit-Dearborn-Livonia, MI Metro Div 35.9   123.0 2.2% 19.4% 196
    49 St. Louis, MO-IL 35.6   204.0 2.0% 13.2% 200
    50 Kansas City, MO 35.1     83.3 3.4% 14.4% 204
    51 Cleveland-Elyria, OH 32.8   148.5 1.2% 14.9% 220
    52 Milwaukee-Waukesha-West Allis, WI 31.7   123.2 -0.4% 17.5% 229
    53 Omaha-Council Bluffs, NE-IA 31.2     71.1 -1.1% 14.9% 232
    54 Orange-Rockland-Westchester, NY 31.0     86.6 2.0% 12.1% 234
    55 Philadelphia City, PA 30.5     89.1 1.9% 10.3% 237
    56 New Orleans-Metairie, LA 29.2     74.0 0.4% 9.6% 242
    57 Middlesex-Monmouth-Ocean, NJ 29.1   141.2 1.0% 12.4% 244
    58 Nassau County-Suffolk County, NY Metro Div 27.2   167.6 -0.4% 11.8% 256
    59 Richmond, VA 26.8   100.3 2.4% 10.1% 260
    60 Montgomery County-Bucks County-Chester County, PA Metro Div 26.5   192.8 1.6% 8.8% 262
    61 Virginia Beach-Norfolk-Newport News, VA-NC 26.1   104.3 2.0% 5.8% 264
    62 Pittsburgh, PA 25.8   173.6 0.2% 13.5% 267
    63 Bergen-Hudson-Passaic, NJ 25.1   140.7 -0.5% 11.1% 275
    64 Rochester, NY 23.5     66.3 -0.5% 10.1% 286
    65 Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Div 21.3   584.9 1.3% 5.8% 300
    66 Newark, NJ-PA Metro Div 19.9   212.7 0.0% 4.6% 306
    67 Northern Virginia, VA 17.4   374.6 -0.2% 4.6% 325
    68 Buffalo-Cheektowaga-Niagara Falls, NY 17.0     71.8 -0.2% 2.2% 330
    69 Albany-Schenectady-Troy, NY 16.5     51.4 -0.6% 2.6% 332
    70 Silver Spring-Frederick-Rockville, MD Metro Div 15.9   121.7 -0.1% -0.2% 336
  • Mid-Sized Cities Business Services Jobs – 2015 Best Cities Rankings

    Read about how we selected the 2015 Best Cities for Job Growth

    We used five measures of growth to rank MSAs over the past 10 years. “Large” areas include those with a current nonfarm employment base of at least 450,000 jobs. “Midsize” areas range from 150,000 to 450,000 jobs. “Small” areas have as many as 150,000 jobs. This year’s rankings reflect the new Office of Management and Budget definitions of MSAs for all series released after March 2015. As a result, the MSA listed in this year’s rankings do not necessary correspond directly to those listed in prior years. In some instances, MSAs were consolidated with others — for example Pascagoula, MS, was combined with the Gulfport-Biloxi, MS, MSA to form the new Gulfport-Biloxi-Pascagoula, MS, MSA. Others were separated from previously consolidated MSAs and in still other instances individual counties were shifted from one MSA to another. The bottom line is that this year’s rankings are based on good time series for the newly defined MSAs but may not be precisely comparable to those listed in prior years. The total number of MSAs included in this year’s rankings has risen from 398 to 421. This year’s rankings reflect the current size of each MSA’s employment.

    2015 MSA Prof & Bus Svcs Midsized MSA Ranking Area 2015 Prof & Bus Svcs Weighted INDEX 2014 Prof & Bus Svcs Emplmt (1000s) Total Prof & Bus Svcs Emplmt Growth Rate 2013-2014 Total Prof & Bus Svcs Emplmt Cum Growth
    2009-2014
    2015 MSA Prof & Bus Svcs Overall Ranking
    1 Provo-Orem, UT 67.3     29.6 11.5% 46.5% 9
    2 North Port-Sarasota-Bradenton, FL 64.7     40.0 8.3% 32.6% 17
    3 Reading, PA 62.6     23.5 7.6% 26.6% 21
    4 Fayetteville-Springdale-Rogers, AR-MO 61.8     45.7 6.8% 36.6% 26
    5 Fresno, CA 61.3     33.5 12.1% 24.9% 27
    6 Deltona-Daytona Beach-Ormond Beach, FL 59.9     21.5 9.1% 24.3% 35
    7 Ogden-Clearfield, UT 59.8     28.6 5.2% 35.6% 36
    8 Beaumont-Port Arthur, TX 58.5     15.7 13.5% 21.8% 40
    9 Cape Coral-Fort Myers, FL 58.5     30.5 5.7% 26.4% 41
    10 Springfield, MO 55.8     25.5 6.0% 37.2% 49
    11 Lancaster, PA 55.7     23.9 7.0% 26.1% 50
    12 Lexington-Fayette, KY 53.7     39.1 -4.2% 30.2% 55
    13 Greensboro-High Point, NC 53.3     51.8 8.3% 22.5% 57
    14 Greenville-Anderson-Mauldin, SC 52.0     68.5 3.9% 31.3% 65
    15 Des Moines-West Des Moines, IA 51.0     45.7 4.5% 23.5% 69
    16 Modesto, CA 51.0     14.8 8.8% 13.0% 70
    17 Knoxville, TN 50.2     61.1 6.0% 20.9% 79
    18 Rockford, IL 49.8     16.7 8.9% 16.3% 83
    19 Savannah, GA 49.7     20.2 6.1% 19.8% 85
    20 York-Hanover, PA 48.3     20.8 3.1% 31.6% 98
    21 Wichita, KS 45.6     33.6 3.9% 18.4% 113
    22 Charleston-North Charleston, SC 45.5     49.2 5.0% 22.4% 114
    23 Gary, IN Metro Div 43.7     23.4 2.3% 20.0% 126
    24 Madison, WI 42.4     48.5 2.1% 21.7% 136
    25 Elgin, IL Metro Div 42.0     35.5 -3.5% 32.0% 138
    26 Baton Rouge, LA 41.5     47.7 6.0% 13.8% 142
    27 Winston-Salem, NC 41.2     34.8 5.2% 23.1% 146
    28 Pensacola-Ferry Pass-Brent, FL 40.7     22.0 4.3% 16.6% 149
    29 Asheville, NC 39.9     17.4 0.4% 21.3% 152
    30 Baltimore City, MD 39.8     47.2 0.5% 23.0% 155
    31 Springfield, MA-CT NECTA 39.1     25.7 3.6% 16.8% 161
    32 Ann Arbor, MI 38.8     27.7 5.7% 9.8% 165
    33 Canton-Massillon, OH 38.5     15.0 5.6% 11.7% 168
    34 Montgomery, AL 38.3     21.9 6.0% 11.5% 169
    35 New Haven, CT NECTA 38.2     30.3 2.4% 19.8% 172
    36 Chattanooga, TN-GA 38.0     27.7 3.5% 27.8% 173
    37 Salem, OR 37.7     12.6 2.2% 9.3% 177
    38 Evansville, IN-KY 37.5     19.0 4.0% 13.6% 179
    39 Jackson, MS 37.5     32.8 2.5% 20.1% 180
    40 Lakeland-Winter Haven, FL 37.4     28.2 8.3% 5.6% 182
    41 Tacoma-Lakewood, WA Metro Div 37.1     25.6 3.9% 8.5% 186
    42 Santa Rosa, CA 36.8     20.1 1.2% 11.2% 188
    43 Stockton-Lodi, CA 36.0     18.2 2.6% 12.6% 194
    44 Tallahassee, FL 36.0     19.7 5.3% 9.4% 195
    45 Spokane-Spokane Valley, WA 35.7     24.1 4.8% 15.5% 199
    46 Lake County-Kenosha County, IL-WI Metro Div 35.2     68.3 -1.2% 24.8% 202
    47 Boulder, CO 35.0     32.5 0.4% 18.3% 205
    48 Delaware County, PA 34.8     31.9 2.6% 16.0% 209
    49 Dayton, OH 34.3     49.6 3.7% 11.3% 213
    50 Framingham, MA NECTA Div 33.9     35.1 3.2% 11.4% 215
    51 Augusta-Richmond County, GA-SC 33.3     33.0 3.9% 8.7% 218
    52 Tulsa, OK 33.2     59.7 3.9% 9.9% 219
    53 Santa Maria-Santa Barbara, CA 32.7     23.3 0.6% 14.8% 222
    54 Wilmington, DE-MD-NJ Metro Div 31.7     54.6 1.3% 11.2% 228
    55 Columbia, SC 31.4     47.4 -3.3% 23.3% 231
    56 Harrisburg-Carlisle, PA 30.5     44.9 0.4% 17.0% 236
    57 Allentown-Bethlehem-Easton, PA-NJ 28.9     48.2 -2.4% 14.8% 245
    58 Reno, NV 28.9     27.6 1.2% 9.1% 246
    59 Calvert-Charles-Prince George’s, MD 28.9     47.8 5.3% 2.1% 247
    60 Worcester, MA-CT NECTA 28.7     26.8 4.4% 4.4% 249
    61 Scranton–Wilkes-Barre–Hazleton, PA 27.8     28.3 -1.6% 14.3% 252
    62 Fort Wayne, IN 27.4     20.9 3.5% 6.3% 254
    63 Shreveport-Bossier City, LA 27.2     17.8 1.9% 5.7% 257
    64 McAllen-Edinburg-Mission, TX 26.9     15.6 -1.5% 11.5% 258
    65 Youngstown-Warren-Boardman, OH-PA 26.8     23.3 -0.3% 15.5% 259
    66 Toledo, OH 26.2     34.4 -4.5% 12.1% 263
    67 Trenton, NJ 25.7     38.4 1.5% 10.1% 269
    68 Portland-South Portland, ME NECTA 25.6     26.5 -0.7% 13.4% 270
    69 Lansing-East Lansing, MI 25.6     21.5 0.5% 8.8% 273
    70 Davenport-Moline-Rock Island, IA-IL 25.1     23.2 -1.4% 13.2% 274
    71 Palm Bay-Melbourne-Titusville, FL 24.3     29.9 4.7% -6.9% 280
    72 Lafayette, LA 23.8     22.9 -2.3% 15.6% 283
    73 Akron, OH 23.6     50.2 0.2% 8.4% 285
    74 Colorado Springs, CO 23.3     41.7 1.2% 1.1% 289
    75 Durham-Chapel Hill, NC 23.0     36.9 0.6% 5.7% 290
    76 Tucson, AZ 22.8     50.4 0.3% 7.2% 292
    77 Bridgeport-Stamford-Norwalk, CT NECTA 22.5     65.4 0.6% 7.4% 294
    78 Bakersfield, CA 21.4     25.7 0.4% 9.7% 299
    79 Roanoke, VA 21.3     21.2 0.8% 4.4% 301
    80 Boise City, ID 19.6     40.1 -2.4% 5.4% 308
    81 Oxnard-Thousand Oaks-Ventura, CA 19.5     36.0 -1.0% 4.7% 309
    82 Huntsville, AL 19.2     49.7 0.5% 0.3% 311
    83 Albuquerque, NM 19.2     57.7 1.1% -1.7% 312
    84 Lincoln, NE 18.8     18.3 -2.8% 7.2% 316
    85 Little Rock-North Little Rock-Conway, AR 18.2     43.9 -2.2% 4.4% 319
    86 Green Bay, WI 18.1     20.1 -2.0% 3.4% 320
    87 Syracuse, NY 17.6     33.1 -0.2% 1.2% 322
    88 El Paso, TX 17.5     31.2 -1.9% -1.4% 323
    89 Corpus Christi, TX 17.4     15.7 0.9% 0.6% 324
    90 Mobile, AL 15.9     21.2 -2.0% 3.4% 335
    91 Anchorage, AK 13.7     20.6 -4.9% 4.6% 340
    92 Peoria, IL 10.6     20.5 -1.6% -2.2% 351
    93 Gulfport-Biloxi-Pascagoula, MS 7.4     15.3 -6.9% -5.4% 359
  • Small Business Services Jobs – 2015 Best Cities Rankings

    Read about how we selected the 2015 Best Cities for Job Growth

    We used five measures of growth to rank MSAs over the past 10 years. “Large” areas include those with a current nonfarm employment base of at least 450,000 jobs. “Midsize” areas range from 150,000 to 450,000 jobs. “Small” areas have as many as 150,000 jobs. This year’s rankings reflect the new Office of Management and Budget definitions of MSAs for all series released after March 2015. As a result, the MSA listed in this year’s rankings do not necessary correspond directly to those listed in prior years. In some instances, MSAs were consolidated with others — for example Pascagoula, MS, was combined with the Gulfport-Biloxi, MS, MSA to form the new Gulfport-Biloxi-Pascagoula, MS, MSA. Others were separated from previously consolidated MSAs and in still other instances individual counties were shifted from one MSA to another. The bottom line is that this year’s rankings are based on good time series for the newly defined MSAs but may not be precisely comparable to those listed in prior years. The total number of MSAs included in this year’s rankings has risen from 398 to 421. This year’s rankings reflect the current size of each MSA’s employment.

    2015 MSA Prof & Bus Svcs Small MSA Ranking Area 2015 Prof & Bus Svcs Weighted INDEX 2014 Prof & Bus Svcs Emplmt (1000s) Total Prof & Bus Svcs Emplmt Growth Rate 2013-2014 Total Prof & Bus Svcs Emplmt Cum Growth
    2009-2014
    2015 MSA Prof & Bus Svcs Overall Ranking
    1 Auburn-Opelika, AL 74.3         7.7 13.3% 66.7% 1
    2 Tuscaloosa, AL 71.8      10.9 19.9% 68.0% 2
    3 Grants Pass, OR 71.7         2.2 8.3% 54.8% 3
    4 Jackson, TN 70.9         6.6 9.4% 58.4% 4
    5 New Bedford, MA NECTA 69.6         5.7 12.5% 43.7% 5
    6 Port St. Lucie, FL 69.0      17.0 15.7% 38.3% 6
    7 Janesville-Beloit, WI 68.0         6.0 13.9% 46.3% 7
    8 Lynn-Saugus-Marblehead, MA NECTA Div 67.6         3.1 9.4% 31.0% 8
    9 Waco, TX 67.0      11.3 12.6% 30.4% 10
    10 Burlington, NC 66.8         6.0 22.6% 45.5% 11
    11 Monroe, MI 66.1         4.5 7.1% 51.7% 12
    12 Sherman-Denison, TX 65.8         3.3 6.5% 46.3% 14
    13 Lafayette-West Lafayette, IN 65.0         8.4 8.1% 61.1% 16
    14 Greeley, CO 64.6         9.7 6.2% 49.7% 18
    15 Elkhart-Goshen, IN 63.7      10.1 6.7% 43.4% 19
    16 Columbus, IN 63.2         5.5 5.7% 48.2% 20
    17 Springfield, OH 62.3         4.8 9.9% 28.6% 23
    18 Naples-Immokalee-Marco Island, FL 62.2      15.2 7.8% 44.9% 24
    19 Lake Havasu City-Kingman, AZ 61.9         4.1 10.9% 29.8% 25
    20 Gadsden, AL 61.2         4.4 3.9% 50.0% 28
    21 Salinas, CA 61.1      13.0 12.4% 19.7% 29
    22 Morgantown, WV 60.8         6.5 9.0% 24.4% 30
    23 Redding, CA 60.2         6.1 10.2% 19.6% 31
    24 Hickory-Lenoir-Morganton, NC 60.1      14.6 7.4% 30.8% 32
    25 Cleveland, TN 60.0         6.2 -34.5% 97.9% 33
    26 Gainesville, FL 59.9      12.9 10.6% 27.0% 34
    27 Yuba City, CA 59.8         3.1 9.4% 24.0% 37
    28 Kankakee, IL 58.6         4.1 -1.6% 42.5% 39
    29 Flagstaff, AZ 58.5         3.1 13.3% 23.7% 42
    30 Odessa, TX 57.6         5.0 11.2% 25.2% 43
    31 Manchester, NH NECTA 57.0      16.2 8.3% 23.1% 46
    32 Bend-Redmond, OR 56.8         7.9 10.2% 20.9% 47
    33 Topeka, KS 56.8      13.0 2.9% 37.0% 48
    34 Macon, GA 54.6      12.4 6.9% 22.4% 52
    35 College Station-Bryan, TX 54.0         7.7 4.5% 27.6% 53
    36 Michigan City-La Porte, IN 53.5         3.1 10.8% 24.3% 56
    37 Wausau, WI 53.1         5.2 6.8% 21.9% 58
    38 Iowa City, IA 53.1         7.1 4.9% 37.4% 59
    39 Bay City, MI 52.7         3.6 6.9% 18.7% 60
    40 Saginaw, MI 52.5      11.5 3.9% 21.8% 61
    41 Ocala, FL 52.4         9.8 6.9% 21.4% 63
    42 Victoria, TX 52.4         2.7 15.7% 14.1% 64
    43 Laredo, TX 51.6         8.3 6.0% 40.9% 66
    44 Prescott, AZ 51.0         3.7 12.1% 11.0% 71
    45 Fond du Lac, WI 50.9         2.6 5.3% 19.7% 72
    46 Corvallis, OR 50.8         4.3 10.3% 21.9% 73
    47 Lawrence, KS 50.8         5.6 7.1% 12.1% 74
    48 Ithaca, NY 50.8         3.4 6.3% 18.8% 75
    49 Charlottesville, VA 50.5      14.5 6.4% 21.9% 76
    50 Bismarck, ND 49.8         8.1 6.1% 26.4% 82
    51 Kalamazoo-Portage, MI 49.7      16.5 6.0% 18.8% 84
    52 Bangor, ME NECTA 49.2         6.6 7.1% 14.5% 87
    53 Waterloo-Cedar Falls, IA 49.2         7.5 3.2% 24.3% 88
    54 Muskegon, MI 48.9         3.6 2.9% 22.7% 90
    55 Myrtle Beach-Conway-North Myrtle Beach, SC-NC 48.8      12.7 5.2% 15.4% 91
    56 Napa, CA 48.6         6.6 5.9% 20.7% 94
    57 Barnstable Town, MA NECTA 48.4         8.9 10.3% 14.1% 95
    58 Panama City, FL 48.4         9.1 -3.5% 21.9% 96
    59 Lake Charles, LA 48.2         8.6 3.6% 27.2% 99
    60 Midland, TX 47.9         9.8 3.9% 40.2% 101
    61 Pueblo, CO 47.3         6.8 5.7% 20.7% 104
    62 Battle Creek, MI 47.1         6.6 10.7% 10.7% 106
    63 Burlington-South Burlington, VT NECTA 47.1      13.9 3.5% 29.1% 107
    64 San Luis Obispo-Paso Robles-Arroyo Grande, CA 46.9      12.2 4.3% 28.3% 108
    65 Greenville, NC 46.5         7.4 0.9% 29.1% 110
    66 Elizabethtown-Fort Knox, KY 46.4         5.7 4.9% 25.0% 111
    67 Waterbury, CT NECTA 45.3         5.5 5.8% 12.2% 115
    68 Punta Gorda, FL 44.7         4.5 -1.4% 37.4% 118
    69 South Bend-Mishawaka, IN-MI 44.5      13.3 5.5% 14.3% 119
    70 Chico, CA 44.2         6.1 3.4% 30.7% 122
    71 Elmira, NY 44.1         2.7 5.3% 14.3% 123
    72 Danbury, CT NECTA 44.1         9.2 5.3% 19.4% 124
    73 Kingsport-Bristol-Bristol, TN-VA 43.6         9.9 1.7% 21.6% 127
    74 Salisbury, MD-DE 43.6      11.7 3.5% 18.1% 128
    75 Olympia-Tumwater, WA 43.4      10.0 0.3% 30.0% 129
    76 Brockton-Bridgewater-Easton, MA NECTA Div 42.9         7.9 1.3% 19.8% 130
    77 Chambersburg-Waynesboro, PA 42.7         5.2 8.3% 3.3% 132
    78 Pocatello, ID 42.7         3.9 0.0% 21.9% 133
    79 Flint, MI 42.6      15.1 4.6% 24.5% 134
    80 Cheyenne, WY 42.5         3.5 6.1% 10.5% 135
    81 Wilmington, NC 42.3      14.8 3.5% 15.3% 137
    82 Fargo, ND-MN 41.9      16.1 3.6% 25.4% 139
    83 Medford, OR 40.9         7.2 10.7% 5.9% 148
    84 Clarksville, TN-KY 40.4         9.1 7.5% 10.5% 150
    85 Brownsville-Harlingen, TX 39.8      11.7 -3.6% 29.5% 153
    86 Kahului-Wailuku-Lahaina, HI 39.7         7.1 3.9% 16.9% 156
    87 Oshkosh-Neenah, WI 39.7      11.5 2.1% 20.3% 157
    88 Appleton, WI 39.7      13.3 5.0% 14.4% 158
    89 Bellingham, WA 39.4         7.8 5.0% 7.9% 159
    90 Spartanburg, SC 39.1      15.5 3.1% 14.5% 163
    91 Huntington-Ashland, WV-KY-OH 39.1      12.2 8.3% 4.6% 164
    92 Sebastian-Vero Beach, FL 38.7         5.1 6.9% 10.0% 166
    93 State College, PA 38.6         6.1 5.2% 9.6% 167
    94 Abilene, TX 38.3         5.6 2.4% 9.1% 170
    95 Tyler, TX 38.3         9.0 5.9% 4.7% 171
    96 Altoona, PA 37.8         5.7 2.4% 18.1% 175
    97 Dothan, AL 37.7         4.7 10.9% 8.4% 176
    98 Morristown, TN 37.7         3.4 0.0% 14.8% 178
    99 St. George, UT 37.3         4.2 2.4% 23.5% 183
    100 Hagerstown-Martinsburg, MD-WV 37.3         9.6 4.0% 17.6% 184
    101 Dalton, GA 37.1         6.2 9.4% -7.0% 185
    102 Mansfield, OH 37.1         5.3 -1.3% 15.3% 187
    103 Johnson City, TN 36.6         8.4 5.4% 11.9% 189
    104 Dover-Durham, NH-ME NECTA 36.1         3.9 4.5% 11.4% 193
    105 Longview, TX 35.8         9.4 4.5% 11.5% 197
    106 Bloomsburg-Berwick, PA 35.8         4.5 -3.5% 27.1% 198
    107 Erie, PA 35.2      10.1 6.7% -1.0% 201
    108 Lewiston-Auburn, ME NECTA 35.1         6.8 0.0% 15.2% 203
    109 Coeur d’Alene, ID 35.0         6.4 2.1% 6.7% 206
    110 Grand Forks, ND-MN 35.0         3.1 9.4% 4.5% 207
    111 Athens-Clarke County, GA 34.8         7.2 -0.9% 13.7% 208
    112 Binghamton, NY 34.7         9.9 4.6% 12.1% 210
    113 Bowling Green, KY 34.6         8.6 1.6% 16.1% 211
    114 Glens Falls, NY 34.3         5.6 -0.6% 16.8% 212
    115 Fort Smith, AR-OK 34.2      12.2 4.0% 10.6% 214
    116 Leominster-Gardner, MA NECTA 33.6         3.6 1.9% 12.5% 216
    117 Carson City, NV 33.3         2.1 6.9% 10.7% 217
    118 Monroe, LA 32.7         8.2 2.1% 10.4% 221
    119 Atlantic City-Hammonton, NJ 32.4         9.6 5.1% 2.9% 223
    120 Rochester, MN 32.1         5.8 -0.6% 21.8% 224
    121 Kingston, NY 32.0         4.4 -3.0% 11.0% 225
    122 Madera, CA 32.0         2.9 0.0% 17.8% 226
    123 Casper, WY 31.9         3.0 0.0% 15.4% 227
    124 Albany, OR 31.5         3.4 1.0% 11.0% 230
    125 Hanford-Corcoran, CA 31.1         1.4 7.5% -12.2% 233
    126 Nashua, NH-MA NECTA Div 30.7      14.4 -0.2% 13.9% 235
    127 Fort Collins, CO 30.4      19.0 -0.7% 15.2% 238
    128 San Angelo, TX 30.2         3.9 -0.9% 12.6% 239
    129 Lowell-Billerica-Chelmsford, MA-NH NECTA Div 29.3      21.5 6.3% 2.2% 240
    130 Lubbock, TX 29.2      11.0 0.3% 16.6% 241
    131 Lima, OH 29.2         4.7 -2.8% 21.6% 243
    132 Duluth, MN-WI 28.8         8.4 2.9% 7.2% 248
    133 Sioux Falls, SD 28.1      13.1 -4.1% 22.7% 250
    134 Grand Junction, CO 27.9         5.5 1.9% 5.8% 251
    135 Johnstown, PA 27.5         5.7 3.6% 4.9% 253
    136 Missoula, MT 27.3         7.0 3.5% 3.5% 255
    137 Weirton-Steubenville, WV-OH 26.6         1.9 5.6% 1.8% 261
    138 Crestview-Fort Walton Beach-Destin, FL 26.0      13.3 0.8% 7.0% 265
    139 Champaign-Urbana, IL 26.0         8.2 1.7% 10.3% 266
    140 Taunton-Middleborough-Norton, MA NECTA Div 25.8         5.7 1.2% 11.0% 268
    141 Niles-Benton Harbor, MI 25.6         5.5 7.8% 3.1% 271
    142 Vallejo-Fairfield, CA 25.6         9.7 3.9% -10.7% 272
    143 Rapid City, SD 24.9         5.1 1.3% 10.1% 276
    144 Sheboygan, WI 24.8         4.5 -2.2% 9.8% 277
    145 Haverhill-Newburyport-Amesbury Town, MA-NH NECTA Div 24.5         5.2 -0.6% 10.6% 278
    146 Norwich-New London-Westerly, CT-RI NECTA 24.4         9.2 3.4% 0.0% 279
    147 Amarillo, TX 24.1         8.9 1.9% 5.5% 281
    148 Eau Claire, WI 23.8         9.0 0.0% 5.9% 282
    149 Decatur, AL 23.7         5.3 -5.3% 16.8% 284
    150 Racine, WI 23.4         6.3 0.0% 12.5% 287
    151 Lawton, OK 23.3         3.8 4.6% 9.6% 288
    152 Logan, UT-ID 22.9         5.6 -0.6% 5.7% 291
    153 Sierra Vista-Douglas, AZ 22.6         4.6 7.9% -25.9% 293
    154 Lynchburg, VA 22.5      12.4 1.1% -4.4% 295
    155 Peabody-Salem-Beverly, MA NECTA Div 22.4         9.9 0.7% 8.4% 296
    156 Idaho Falls, ID 22.3      12.1 2.3% -5.2% 297
    157 Fairbanks, AK 21.6         2.3 3.0% 4.5% 298
    158 Charleston, WV 21.2      14.6 -0.2% 7.6% 302
    159 Eugene, OR 20.7      15.3 -1.5% 7.0% 303
    160 Owensboro, KY 20.4         3.8 -5.0% 16.5% 304
    161 Danville, IL 20.1         1.9 1.8% -10.8% 305
    162 Portsmouth, NH-ME NECTA 19.9      10.6 0.3% -0.9% 307
    163 Dover, DE 19.4         4.2 -2.3% 1.6% 310
    164 Walla Walla, WA 19.2         0.9 -6.7% 3.7% 313
    165 La Crosse-Onalaska, WI-MN 19.0         6.5 -1.5% 7.7% 314
    166 Las Cruces, NM 18.8         7.3 -0.9% -4.3% 315
    167 Pittsfield, MA NECTA 18.7         3.7 0.9% 0.9% 317
    168 Santa Cruz-Watsonville, CA 18.3         9.4 0.4% 5.6% 318
    169 Bremerton-Silverdale, WA 17.8         7.1 0.0% -2.3% 321
    170 Wichita Falls, TX 17.3         3.5 -2.8% 9.5% 326
    171 Billings, MT 17.2         8.6 1.2% -6.5% 327
    172 Florence-Muscle Shoals, AL 17.2         4.0 4.4% -12.5% 328
    173 East Stroudsburg, PA 17.1         3.3 4.3% -12.5% 329
    174 Lawrence-Methuen Town-Salem, MA-NH NECTA Div 16.6      10.1 0.0% 5.9% 331
    175 Kennewick-Richland, WA 16.3      20.8 2.6% -9.3% 333
    176 Rocky Mount, NC 16.2         5.5 1.2% -1.2% 334
    177 Yuma, AZ 14.9         6.1 -2.7% 4.6% 337
    178 Visalia-Porterville, CA 13.9         9.1 -6.8% 6.6% 338
    179 Yakima, WA 13.7         3.7 0.0% -2.7% 339
    180 San Rafael, CA Metropolitan Div 13.5      18.3 -1.8% -0.4% 341
    181 Columbus, GA-AL 13.2      12.6 -3.1% -3.3% 342
    182 Terre Haute, IN 13.0         5.4 -2.4% -4.7% 343
    183 St. Cloud, MN 12.6         8.3 -9.5% 2.9% 344
    184 Jackson, MI 12.5         3.8 -6.6% 4.6% 345
    185 Killeen-Temple, TX 12.2         9.0 -0.7% -7.5% 346
    186 Great Falls, MT 11.7         3.1 -1.1% -3.2% 347
    187 Santa Fe, NM 11.3         4.3 -2.3% -2.3% 348
    188 Fayetteville, NC 10.7      12.4 -0.8% -4.8% 349
    189 Dutchess County-Putnam County, NY Metropolitan Div 10.7      11.5 -2.3% -4.4% 350
    190 Springfield, IL 9.9      10.3 -0.6% -7.5% 352
    191 Cedar Rapids, IA 9.5      12.9 -6.3% -1.5% 353
    192 Merced, CA 9.4         3.9 -2.5% -3.3% 354
    193 Sioux City, IA-NE-SD 9.1         8.6 -7.2% -1.5% 355
    194 El Centro, CA 9.1         2.5 -18.5% 1.4% 356
    195 Bloomington, IL 8.8      17.1 -4.3% -4.5% 357
    196 Watertown-Fort Drum, NY 8.3         2.1 -9.9% -12.3% 358
    197 Lewiston, ID-WA 7.1         1.2 -2.7% -16.3% 360
    198 Decatur, IL 7.1         3.0 -4.2% -9.9% 361
    199 Texarkana, TX-AR 6.9         3.7 -7.6% -6.0% 362
    200 Utica-Rome, NY 6.5         7.9 -4.8% -9.5% 363
    201 Vineland-Bridgeton, NJ 5.6         3.3 -20.6% -7.4% 364
    202 Anniston-Oxford-Jacksonville, AL 5.3         4.3 -7.9% -14.6% 365
    203 Bloomington, IN 5.2         4.1 -8.1% -34.4% 366
  • All Cities Business Services Jobs – 2015 Best Cities Rankings

    Read about how we selected the 2015 Best Cities for Job Growth

    We used five measures of growth to rank MSAs over the past 10 years. “Large” areas include those with a current nonfarm employment base of at least 450,000 jobs. “Midsize” areas range from 150,000 to 450,000 jobs. “Small” areas have as many as 150,000 jobs. This year’s rankings reflect the new Office of Management and Budget definitions of MSAs for all series released after March 2015. As a result, the MSA listed in this year’s rankings do not necessary correspond directly to those listed in prior years. In some instances, MSAs were consolidated with others — for example Pascagoula, MS, was combined with the Gulfport-Biloxi, MS, MSA to form the new Gulfport-Biloxi-Pascagoula, MS, MSA. Others were separated from previously consolidated MSAs and in still other instances individual counties were shifted from one MSA to another. The bottom line is that this year’s rankings are based on good time series for the newly defined MSAs but may not be precisely comparable to those listed in prior years. The total number of MSAs included in this year’s rankings has risen from 398 to 421. This year’s rankings reflect the current size of each MSA’s employment.

    2015 MSA Prof & Bus Svcs Overall Ranking Area 2015 Prof & Bus Svcs Weighted INDEX 2014 Prof & Bus Svcs Emplmt (1000s) Total Prof & Bus Svcs Emplmt Growth Rate 2013-2014 Total Prof & Bus Svcs Emplmt Cum Growth
    2009-2014
    2015 MSA Size Group
    1 Auburn-Opelika, AL 74.3          7.7 13.3% 66.7% S
    2 Tuscaloosa, AL 71.8        10.9 19.9% 68.0% S
    3 Grants Pass, OR 71.7          2.2 8.3% 54.8% S
    4 Jackson, TN 70.9          6.6 9.4% 58.4% S
    5 New Bedford, MA NECTA 69.6          5.7 12.5% 43.7% S
    6 Port St. Lucie, FL 69.0        17.0 15.7% 38.3% S
    7 Janesville-Beloit, WI 68.0          6.0 13.9% 46.3% S
    8 Lynn-Saugus-Marblehead, MA NECTA Division 67.6          3.1 9.4% 31.0% S
    9 Provo-Orem, UT 67.3        29.6 11.5% 46.5% M
    10 Waco, TX 67.0        11.3 12.6% 30.4% S
    11 Burlington, NC 66.8          6.0 22.6% 45.5% S
    12 Monroe, MI 66.1          4.5 7.1% 51.7% S
    13 San Jose-Sunnyvale-Santa Clara, CA 65.9     212.7 7.9% 34.7% L
    14 Sherman-Denison, TX 65.8          3.3 6.5% 46.3% S
    15 San Francisco-Redwood City-South San Francisco, CA Metro Div 65.4     256.9 9.0% 42.3% L
    16 Lafayette-West Lafayette, IN 65.0          8.4 8.1% 61.1% S
    17 North Port-Sarasota-Bradenton, FL 64.7        40.0 8.3% 32.6% M
    18 Greeley, CO 64.6          9.7 6.2% 49.7% S
    19 Elkhart-Goshen, IN 63.7        10.1 6.7% 43.4% S
    20 Columbus, IN 63.2          5.5 5.7% 48.2% S
    21 Reading, PA 62.6        23.5 7.6% 26.6% M
    22 Raleigh, NC 62.6     113.1 8.6% 36.5% L
    23 Springfield, OH 62.3          4.8 9.9% 28.6% S
    24 Naples-Immokalee-Marco Isl&, FL 62.2        15.2 7.8% 44.9% S
    25 Lake Havasu City-Kingman, AZ 61.9          4.1 10.9% 29.8% S
    26 Fayetteville-Springdale-Rogers, AR-MO 61.8        45.7 6.8% 36.6% M
    27 Fresno, CA 61.3        33.5 12.1% 24.9% M
    28 Gadsden, AL 61.2          4.4 3.9% 50.0% S
    29 Salinas, CA 61.1        13.0 12.4% 19.7% S
    30 Morgantown, WV 60.8          6.5 9.0% 24.4% S
    31 Redding, CA 60.2          6.1 10.2% 19.6% S
    32 Hickory-Lenoir-Morganton, NC 60.1        14.6 7.4% 30.8% S
    33 Clevel&, TN 60.0          6.2 -34.5% 97.9% S
    34 Gainesville, FL 59.9        12.9 10.6% 27.0% S
    35 Deltona-Daytona Beach-Ormond Beach, FL 59.9        21.5 9.1% 24.3% M
    36 Ogden-Clearfield, UT 59.8        28.6 5.2% 35.6% M
    37 Yuba City, CA 59.8          3.1 9.4% 24.0% S
    38 Nashville-Davidson–Murfreesboro–Franklin, TN 59.1     136.8 4.3% 41.4% L
    39 Kankakee, IL 58.6          4.1 -1.6% 42.5% S
    40 Beaumont-Port Arthur, TX 58.5        15.7 13.5% 21.8% M
    41 Cape Coral-Fort Myers, FL 58.5        30.5 5.7% 26.4% M
    42 Flagstaff, AZ 58.5          3.1 13.3% 23.7% S
    43 Odessa, TX 57.6          5.0 11.2% 25.2% S
    44 Austin-Round Rock, TX 57.3     150.3 4.3% 37.2% L
    45 Dallas-Plano-Irving, TX Metro Div 57.2     437.4 6.8% 29.7% L
    46 Manchester, NH NECTA 57.0        16.2 8.3% 23.1% S
    47 Bend-Redmond, OR 56.8          7.9 10.2% 20.9% S
    48 Topeka, KS 56.8        13.0 2.9% 37.0% S
    49 Springfield, MO 55.8        25.5 6.0% 37.2% M
    50 Lancaster, PA 55.7        23.9 7.0% 26.1% M
    51 West Palm Beach-Boca Raton-Delray Beach, FL Metro Div 54.9     103.9 5.9% 25.0% L
    52 Macon, GA 54.6        12.4 6.9% 22.4% S
    53 College Station-Bryan, TX 54.0          7.7 4.5% 27.6% S
    54 Riverside-San Bernardino-Ontario, CA 53.8     144.8 8.3% 19.5% L
    55 Lexington-Fayette, KY 53.7        39.1 -4.2% 30.2% M
    56 Michigan City-La Porte, IN 53.5          3.1 10.8% 24.3% S
    57 Greensboro-High Point, NC 53.3        51.8 8.3% 22.5% M
    58 Wausau, WI 53.1          5.2 6.8% 21.9% S
    59 Iowa City, IA 53.1          7.1 4.9% 37.4% S
    60 Bay City, MI 52.7          3.6 6.9% 18.7% S
    61 Saginaw, MI 52.5        11.5 3.9% 21.8% S
    62 Charlotte-Concord-Gastonia, NC-SC 52.5     177.2 4.4% 26.8% L
    63 Ocala, FL 52.4          9.8 6.9% 21.4% S
    64 Victoria, TX 52.4          2.7 15.7% 14.1% S
    65 Greenville-&erson-Mauldin, SC 52.0        68.5 3.9% 31.3% M
    66 Laredo, TX 51.6          8.3 6.0% 40.9% S
    67 Atlanta-S&y Springs-Roswell, GA 51.6     469.1 5.2% 24.0% L
    68 Gr& Rapids-Wyoming, MI 51.1        79.5 2.7% 31.5% L
    69 Des Moines-West Des Moines, IA 51.0        45.7 4.5% 23.5% M
    70 Modesto, CA 51.0        14.8 8.8% 13.0% M
    71 Prescott, AZ 51.0          3.7 12.1% 11.0% S
    72 Fond du Lac, WI 50.9          2.6 5.3% 19.7% S
    73 Corvallis, OR 50.8          4.3 10.3% 21.9% S
    74 Lawrence, KS 50.8          5.6 7.1% 12.1% S
    75 Ithaca, NY 50.8          3.4 6.3% 18.8% S
    76 Charlottesville, VA 50.5        14.5 6.4% 21.9% S
    77 Miami-Miami Beach-Kendall, FL Metro Div 50.3     156.8 5.0% 25.8% L
    78 Kansas City, KS 50.3        87.9 4.5% 28.0% L
    79 Knoxville, TN 50.2        61.1 6.0% 20.9% M
    80 Memphis, TN-MS-AR 50.1        97.2 3.8% 26.9% L
    81 Portl&-Vancouver-Hillsboro, OR-WA 49.9     164.8 3.8% 25.4% L
    82 Bismarck, ND 49.8          8.1 6.1% 26.4% S
    83 Rockford, IL 49.8        16.7 8.9% 16.3% M
    84 Kalamazoo-Portage, MI 49.7        16.5 6.0% 18.8% S
    85 Savannah, GA 49.7        20.2 6.1% 19.8% M
    86 Louisville/Jefferson County, KY-IN 49.2        84.8 6.1% 20.9% L
    87 Bangor, ME NECTA 49.2          6.6 7.1% 14.5% S
    88 Waterloo-Cedar Falls, IA 49.2          7.5 3.2% 24.3% S
    89 Columbus, OH 48.9     179.0 4.0% 24.8% L
    90 Muskegon, MI 48.9          3.6 2.9% 22.7% S
    91 Myrtle Beach-Conway-North Myrtle Beach, SC-NC 48.8        12.7 5.2% 15.4% S
    92 Hartford-West Hartford-East Hartford, CT NECTA 48.8        70.4 4.8% 21.3% L
    93 Jacksonville, FL 48.7        99.7 3.2% 23.3% L
    94 Napa, CA 48.6          6.6 5.9% 20.7% S
    95 Barnstable Town, MA NECTA 48.4          8.9 10.3% 14.1% S
    96 Panama City, FL 48.4          9.1 -3.5% 21.9% S
    97 Las Vegas-Henderson-Paradise, NV 48.3     119.7 5.4% 20.6% L
    98 York-Hanover, PA 48.3        20.8 3.1% 31.6% M
    99 Lake Charles, LA 48.2          8.6 3.6% 27.2% S
    100 Houston-The Woodl&s-Sugar L&, TX 48.0     469.1 3.8% 27.8% L
    101 Midl&, TX 47.9          9.8 3.9% 40.2% S
    102 Salt Lake City, UT 47.5     115.5 2.3% 26.1% L
    103 Indianapolis-Carmel-&erson, IN 47.4     156.5 1.1% 26.2% L
    104 Pueblo, CO 47.3          6.8 5.7% 20.7% S
    105 Oakl&-Hayward-Berkeley, CA Metro Div 47.2     184.1 5.1% 23.1% L
    106 Battle Creek, MI 47.1          6.6 10.7% 10.7% S
    107 Burlington-South Burlington, VT NECTA 47.1        13.9 3.5% 29.1% S
    108 San Luis Obispo-Paso Robles-Arroyo Gr&e, CA 46.9        12.2 4.3% 28.3% S
    109 Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metro Div 46.8     139.2 4.3% 19.9% L
    110 Greenville, NC 46.5          7.4 0.9% 29.1% S
    111 Elizabethtown-Fort Knox, KY 46.4          5.7 4.9% 25.0% S
    112 Providence-Warwick, RI-MA NECTA 45.9        66.7 2.9% 17.2% L
    113 Wichita, KS 45.6        33.6 3.9% 18.4% M
    114 Charleston-North Charleston, SC 45.5        49.2 5.0% 22.4% M
    115 Waterbury, CT NECTA 45.3          5.5 5.8% 12.2% S
    116 Sacramento–Roseville–Arden-Arcade, CA 45.0     120.9 4.2% 21.1% L
    117 San Antonio-New Braunfels, TX 44.9     123.3 5.7% 17.6% L
    118 Punta Gorda, FL 44.7          4.5 -1.4% 37.4% S
    119 South Bend-Mishawaka, IN-MI 44.5        13.3 5.5% 14.3% S
    120 New York City, NY 44.5     682.2 4.1% 20.5% L
    121 Anaheim-Santa Ana-Irvine, CA Metro Div 44.4     281.6 4.3% 17.2% L
    122 Chico, CA 44.2          6.1 3.4% 30.7% S
    123 Elmira, NY 44.1          2.7 5.3% 14.3% S
    124 Danbury, CT NECTA 44.1          9.2 5.3% 19.4% S
    125 Seattle-Bellevue-Everett, WA Metro Div 43.8     235.2 3.5% 21.9% L
    126 Gary, IN Metro Div 43.7        23.4 2.3% 20.0% M
    127 Kingsport-Bristol-Bristol, TN-VA 43.6          9.9 1.7% 21.6% S
    128 Salisbury, MD-DE 43.6        11.7 3.5% 18.1% S
    129 Olympia-Tumwater, WA 43.4        10.0 0.3% 30.0% S
    130 Brockton-Bridgewater-Easton, MA NECTA Division 42.9          7.9 1.3% 19.8% S
    131 Fort Worth-Arlington, TX Metro Div 42.9     114.0 3.1% 21.6% L
    132 Chambersburg-Waynesboro, PA 42.7          5.2 8.3% 3.3% S
    133 Pocatello, ID 42.7          3.9 0.0% 21.9% S
    134 Flint, MI 42.6        15.1 4.6% 24.5% S
    135 Cheyenne, WY 42.5          3.5 6.1% 10.5% S
    136 Madison, WI 42.4        48.5 2.1% 21.7% M
    137 Wilmington, NC 42.3        14.8 3.5% 15.3% S
    138 Elgin, IL Metro Div 42.0        35.5 -3.5% 32.0% M
    139 Fargo, ND-MN 41.9        16.1 3.6% 25.4% S
    140 Camden, NJ Metro Div 41.6        81.1 2.8% 16.1% L
    141 Warren-Troy-Farmington Hills, MI Metro Div 41.5     246.5 1.4% 26.6% L
    142 Baton Rouge, LA 41.5        47.7 6.0% 13.8% M
    143 Orl&o-Kissimmee-Sanford, FL 41.4     187.8 4.4% 14.8% L
    144 Oklahoma City, OK 41.4        81.9 4.7% 16.3% L
    145 Denver-Aurora-Lakewood, CO 41.4     242.0 2.7% 20.4% L
    146 Winston-Salem, NC 41.2        34.8 5.2% 23.1% M
    147 Cincinnati, OH-KY-IN 41.0     171.4 3.7% 17.3% L
    148 Medford, OR 40.9          7.2 10.7% 5.9% S
    149 Pensacola-Ferry Pass-Brent, FL 40.7        22.0 4.3% 16.6% M
    150 Clarksville, TN-KY 40.4          9.1 7.5% 10.5% S
    151 Phoenix-Mesa-Scottsdale, AZ 40.1     318.4 2.5% 17.6% L
    152 Asheville, NC 39.9        17.4 0.4% 21.3% M
    153 Brownsville-Harlingen, TX 39.8        11.7 -3.6% 29.5% S
    154 Tampa-St. Petersburg-Clearwater, FL 39.8     203.9 1.9% 21.1% L
    155 Baltimore City, MD 39.8        47.2 0.5% 23.0% M
    156 Kahului-Wailuku-Lahaina, HI 39.7          7.1 3.9% 16.9% S
    157 Oshkosh-Neenah, WI 39.7        11.5 2.1% 20.3% S
    158 Appleton, WI 39.7        13.3 5.0% 14.4% S
    159 Bellingham, WA 39.4          7.8 5.0% 7.9% S
    160 San Diego-Carlsbad, CA 39.4     236.1 3.3% 14.8% L
    161 Springfield, MA-CT NECTA 39.1        25.7 3.6% 16.8% M
    162 Chicago-Naperville-Arlington Heights, IL Metro Div 39.1     669.9 1.7% 18.1% L
    163 Spartanburg, SC 39.1        15.5 3.1% 14.5% S
    164 Huntington-Ashl&, WV-KY-OH 39.1        12.2 8.3% 4.6% S
    165 Ann Arbor, MI 38.8        27.7 5.7% 9.8% M
    166 Sebastian-Vero Beach, FL 38.7          5.1 6.9% 10.0% S
    167 State College, PA 38.6          6.1 5.2% 9.6% S
    168 Canton-Massillon, OH 38.5        15.0 5.6% 11.7% M
    169 Montgomery, AL 38.3        21.9 6.0% 11.5% M
    170 Abilene, TX 38.3          5.6 2.4% 9.1% S
    171 Tyler, TX 38.3          9.0 5.9% 4.7% S
    172 New Haven, CT NECTA 38.2        30.3 2.4% 19.8% M
    173 Chattanooga, TN-GA 38.0        27.7 3.5% 27.8% M
    174 Minneapolis-St. Paul-Bloomington, MN-WI 37.9     304.0 3.0% 17.1% L
    175 Altoona, PA 37.8          5.7 2.4% 18.1% S
    176 Dothan, AL 37.7          4.7 10.9% 8.4% S
    177 Salem, OR 37.7        12.6 2.2% 9.3% M
    178 Morristown, TN 37.7          3.4 0.0% 14.8% S
    179 Evansville, IN-KY 37.5        19.0 4.0% 13.6% M
    180 Jackson, MS 37.5        32.8 2.5% 20.1% M
    181 Los Angeles-Long Beach-Glendale, CA Metro Div 37.4     613.8 0.5% 17.4% L
    182 Lakel&-Winter Haven, FL 37.4        28.2 8.3% 5.6% M
    183 St. George, UT 37.3          4.2 2.4% 23.5% S
    184 Hagerstown-Martinsburg, MD-WV 37.3          9.6 4.0% 17.6% S
    185 Dalton, GA 37.1          6.2 9.4% -7.0% S
    186 Tacoma-Lakewood, WA Metro Div 37.1        25.6 3.9% 8.5% M
    187 Mansfield, OH 37.1          5.3 -1.3% 15.3% S
    188 Santa Rosa, CA 36.8        20.1 1.2% 11.2% M
    189 Johnson City, TN 36.6          8.4 5.4% 11.9% S
    190 Boston-Cambridge-Newton, MA NECTA Division 36.4     331.8 1.8% 16.5% L
    191 Urban Honolulu, HI 36.2        66.9 1.4% 16.3% L
    192 Birmingham-Hoover, AL 36.2        65.5 5.3% 10.6% L
    193 Dover-Durham, NH-ME NECTA 36.1          3.9 4.5% 11.4% S
    194 Stockton-Lodi, CA 36.0        18.2 2.6% 12.6% M
    195 Tallahassee, FL 36.0        19.7 5.3% 9.4% M
    196 Detroit-Dearborn-Livonia, MI Metro Div 35.9     123.0 2.2% 19.4% L
    197 Longview, TX 35.8          9.4 4.5% 11.5% S
    198 Bloomsburg-Berwick, PA 35.8          4.5 -3.5% 27.1% S
    199 Spokane-Spokane Valley, WA 35.7        24.1 4.8% 15.5% M
    200 St. Louis, MO-IL 35.6     204.0 2.0% 13.2% L
    201 Erie, PA 35.2        10.1 6.7% -1.0% S
    202 Lake County-Kenosha County, IL-WI Metro Div 35.2        68.3 -1.2% 24.8% M
    203 Lewiston-Auburn, ME NECTA 35.1          6.8 0.0% 15.2% S
    204 Kansas City, MO 35.1        83.3 3.4% 14.4% L
    205 Boulder, CO 35.0        32.5 0.4% 18.3% M
    206 Coeur d’Alene, ID 35.0          6.4 2.1% 6.7% S
    207 Gr& Forks, ND-MN 35.0          3.1 9.4% 4.5% S
    208 Athens-Clarke County, GA 34.8          7.2 -0.9% 13.7% S
    209 Delaware County, PA 34.8        31.9 2.6% 16.0% M
    210 Binghamton, NY 34.7          9.9 4.6% 12.1% S
    211 Bowling Green, KY 34.6          8.6 1.6% 16.1% S
    212 Glens Falls, NY 34.3          5.6 -0.6% 16.8% S
    213 Dayton, OH 34.3        49.6 3.7% 11.3% M
    214 Fort Smith, AR-OK 34.2        12.2 4.0% 10.6% S
    215 Framingham, MA NECTA Division 33.9        35.1 3.2% 11.4% M
    216 Leominster-Gardner, MA NECTA 33.6          3.6 1.9% 12.5% S
    217 Carson City, NV 33.3          2.1 6.9% 10.7% S
    218 Augusta-Richmond County, GA-SC 33.3        33.0 3.9% 8.7% M
    219 Tulsa, OK 33.2        59.7 3.9% 9.9% M
    220 Clevel&-Elyria, OH 32.8     148.5 1.2% 14.9% L
    221 Monroe, LA 32.7          8.2 2.1% 10.4% S
    222 Santa Maria-Santa Barbara, CA 32.7        23.3 0.6% 14.8% M
    223 Atlantic City-Hammonton, NJ 32.4          9.6 5.1% 2.9% S
    224 Rochester, MN 32.1          5.8 -0.6% 21.8% S
    225 Kingston, NY 32.0          4.4 -3.0% 11.0% S
    226 Madera, CA 32.0          2.9 0.0% 17.8% S
    227 Casper, WY 31.9          3.0 0.0% 15.4% S
    228 Wilmington, DE-MD-NJ Metro Div 31.7        54.6 1.3% 11.2% M
    229 Milwaukee-Waukesha-West Allis, WI 31.7     123.2 -0.4% 17.5% L
    230 Albany, OR 31.5          3.4 1.0% 11.0% S
    231 Columbia, SC 31.4        47.4 -3.3% 23.3% M
    232 Omaha-Council Bluffs, NE-IA 31.2        71.1 -1.1% 14.9% L
    233 Hanford-Corcoran, CA 31.1          1.4 7.5% -12.2% S
    234 Orange-Rockl&-Westchester, NY 31.0        86.6 2.0% 12.1% L
    235 Nashua, NH-MA NECTA Division 30.7        14.4 -0.2% 13.9% S
    236 Harrisburg-Carlisle, PA 30.5        44.9 0.4% 17.0% M
    237 Philadelphia City, PA 30.5        89.1 1.9% 10.3% L
    238 Fort Collins, CO 30.4        19.0 -0.7% 15.2% S
    239 San Angelo, TX 30.2          3.9 -0.9% 12.6% S
    240 Lowell-Billerica-Chelmsford, MA-NH NECTA Division 29.3        21.5 6.3% 2.2% S
    241 Lubbock, TX 29.2        11.0 0.3% 16.6% S
    242 New Orleans-Metairie, LA 29.2        74.0 0.4% 9.6% L
    243 Lima, OH 29.2          4.7 -2.8% 21.6% S
    244 Middlesex-Monmouth-Ocean, NJ 29.1     141.2 1.0% 12.4% L
    245 Allentown-Bethlehem-Easton, PA-NJ 28.9        48.2 -2.4% 14.8% M
    246 Reno, NV 28.9        27.6 1.2% 9.1% M
    247 Calvert-Charles-Prince George’s, MD 28.9        47.8 5.3% 2.1% M
    248 Duluth, MN-WI 28.8          8.4 2.9% 7.2% S
    249 Worcester, MA-CT NECTA 28.7        26.8 4.4% 4.4% M
    250 Sioux Falls, SD 28.1        13.1 -4.1% 22.7% S
    251 Gr& Junction, CO 27.9          5.5 1.9% 5.8% S
    252 Scranton–Wilkes-Barre–Hazleton, PA 27.8        28.3 -1.6% 14.3% M
    253 Johnstown, PA 27.5          5.7 3.6% 4.9% S
    254 Fort Wayne, IN 27.4        20.9 3.5% 6.3% M
    255 Missoula, MT 27.3          7.0 3.5% 3.5% S
    256 Nassau County-Suffolk County, NY Metro Div 27.2     167.6 -0.4% 11.8% L
    257 Shreveport-Bossier City, LA 27.2        17.8 1.9% 5.7% M
    258 McAllen-Edinburg-Mission, TX 26.9        15.6 -1.5% 11.5% M
    259 Youngstown-Warren-Boardman, OH-PA 26.8        23.3 -0.3% 15.5% M
    260 Richmond, VA 26.8     100.3 2.4% 10.1% L
    261 Weirton-Steubenville, WV-OH 26.6          1.9 5.6% 1.8% S
    262 Montgomery County-Bucks County-Chester County, PA Metro Div 26.5     192.8 1.6% 8.8% L
    263 Toledo, OH 26.2        34.4 -4.5% 12.1% M
    264 Virginia Beach-Norfolk-Newport News, VA-NC 26.1     104.3 2.0% 5.8% L
    265 Crestview-Fort Walton Beach-Destin, FL 26.0        13.3 0.8% 7.0% S
    266 Champaign-Urbana, IL 26.0          8.2 1.7% 10.3% S
    267 Pittsburgh, PA 25.8     173.6 0.2% 13.5% L
    268 Taunton-Middleborough-Norton, MA NECTA Division 25.8          5.7 1.2% 11.0% S
    269 Trenton, NJ 25.7        38.4 1.5% 10.1% M
    270 Portl&-South Portl&, ME NECTA 25.6        26.5 -0.7% 13.4% M
    271 Niles-Benton Harbor, MI 25.6          5.5 7.8% 3.1% S
    272 Vallejo-Fairfield, CA 25.6          9.7 3.9% -10.7% S
    273 Lansing-East Lansing, MI 25.6        21.5 0.5% 8.8% M
    274 Davenport-Moline-Rock Isl&, IA-IL 25.1        23.2 -1.4% 13.2% M
    275 Bergen-Hudson-Passaic, NJ 25.1     140.7 -0.5% 11.1% L
    276 Rapid City, SD 24.9          5.1 1.3% 10.1% S
    277 Sheboygan, WI 24.8          4.5 -2.2% 9.8% S
    278 Haverhill-Newburyport-Amesbury Town, MA-NH NECTA Div 24.5          5.2 -0.6% 10.6% S
    279 Norwich-New London-Westerly, CT-RI NECTA 24.4          9.2 3.4% 0.0% S
    280 Palm Bay-Melbourne-Titusville, FL 24.3        29.9 4.7% -6.9% M
    281 Amarillo, TX 24.1          8.9 1.9% 5.5% S
    282 Eau Claire, WI 23.8          9.0 0.0% 5.9% S
    283 Lafayette, LA 23.8        22.9 -2.3% 15.6% M
    284 Decatur, AL 23.7          5.3 -5.3% 16.8% S
    285 Akron, OH 23.6        50.2 0.2% 8.4% M
    286 Rochester, NY 23.5        66.3 -0.5% 10.1% L
    287 Racine, WI 23.4          6.3 0.0% 12.5% S
    288 Lawton, OK 23.3          3.8 4.6% 9.6% S
    289 Colorado Springs, CO 23.3        41.7 1.2% 1.1% M
    290 Durham-Chapel Hill, NC 23.0        36.9 0.6% 5.7% M
    291 Logan, UT-ID 22.9          5.6 -0.6% 5.7% S
    292 Tucson, AZ 22.8        50.4 0.3% 7.2% M
    293 Sierra Vista-Douglas, AZ 22.6          4.6 7.9% -25.9% S
    294 Bridgeport-Stamford-Norwalk, CT NECTA 22.5        65.4 0.6% 7.4% M
    295 Lynchburg, VA 22.5        12.4 1.1% -4.4% S
    296 Peabody-Salem-Beverly, MA NECTA Division 22.4          9.9 0.7% 8.4% S
    297 Idaho Falls, ID 22.3        12.1 2.3% -5.2% S
    298 Fairbanks, AK 21.6          2.3 3.0% 4.5% S
    299 Bakersfield, CA 21.4        25.7 0.4% 9.7% M
    300 Washington-Arlington-Alex&ria, DC-VA-MD-WV Metro Div 21.3     584.9 1.3% 5.8% L
    301 Roanoke, VA 21.3        21.2 0.8% 4.4% M
    302 Charleston, WV 21.2        14.6 -0.2% 7.6% S
    303 Eugene, OR 20.7        15.3 -1.5% 7.0% S
    304 Owensboro, KY 20.4          3.8 -5.0% 16.5% S
    305 Danville, IL 20.1          1.9 1.8% -10.8% S
    306 Newark, NJ-PA Metro Div 19.9     212.7 0.0% 4.6% L
    307 Portsmouth, NH-ME NECTA 19.9        10.6 0.3% -0.9% S
    308 Boise City, ID 19.6        40.1 -2.4% 5.4% M
    309 Oxnard-Thous& Oaks-Ventura, CA 19.5        36.0 -1.0% 4.7% M
    310 Dover, DE 19.4          4.2 -2.3% 1.6% S
    311 Huntsville, AL 19.2        49.7 0.5% 0.3% M
    312 Albuquerque, NM 19.2        57.7 1.1% -1.7% M
    313 Walla Walla, WA 19.2          0.9 -6.7% 3.7% S
    314 La Crosse-Onalaska, WI-MN 19.0          6.5 -1.5% 7.7% S
    315 Las Cruces, NM 18.8          7.3 -0.9% -4.3% S
    316 Lincoln, NE 18.8        18.3 -2.8% 7.2% M
    317 Pittsfield, MA NECTA 18.7          3.7 0.9% 0.9% S
    318 Santa Cruz-Watsonville, CA 18.3          9.4 0.4% 5.6% S
    319 Little Rock-North Little Rock-Conway, AR 18.2        43.9 -2.2% 4.4% M
    320 Green Bay, WI 18.1        20.1 -2.0% 3.4% M
    321 Bremerton-Silverdale, WA 17.8          7.1 0.0% -2.3% S
    322 Syracuse, NY 17.6        33.1 -0.2% 1.2% M
    323 El Paso, TX 17.5        31.2 -1.9% -1.4% M
    324 Corpus Christi, TX 17.4        15.7 0.9% 0.6% M
    325 Northern Virginia, VA 17.4     374.6 -0.2% 4.6% L
    326 Wichita Falls, TX 17.3          3.5 -2.8% 9.5% S
    327 Billings, MT 17.2          8.6 1.2% -6.5% S
    328 Florence-Muscle Shoals, AL 17.2          4.0 4.4% -12.5% S
    329 East Stroudsburg, PA 17.1          3.3 4.3% -12.5% S
    330 Buffalo-Cheektowaga-Niagara Falls, NY 17.0        71.8 -0.2% 2.2% L
    331 Lawrence-Methuen Town-Salem, MA-NH NECTA Division 16.6        10.1 0.0% 5.9% S
    332 Albany-Schenectady-Troy, NY 16.5        51.4 -0.6% 2.6% L
    333 Kennewick-Richl&, WA 16.3        20.8 2.6% -9.3% S
    334 Rocky Mount, NC 16.2          5.5 1.2% -1.2% S
    335 Mobile, AL 15.9        21.2 -2.0% 3.4% M
    336 Silver Spring-Frederick-Rockville, MD Metro Div 15.9     121.7 -0.1% -0.2% L
    337 Yuma, AZ 14.9          6.1 -2.7% 4.6% S
    338 Visalia-Porterville, CA 13.9          9.1 -6.8% 6.6% S
    339 Yakima, WA 13.7          3.7 0.0% -2.7% S
    340 Anchorage, AK 13.7        20.6 -4.9% 4.6% M
    341 San Rafael, CA Metro Div 13.5        18.3 -1.8% -0.4% S
    342 Columbus, GA-AL 13.2        12.6 -3.1% -3.3% S
    343 Terre Haute, IN 13.0          5.4 -2.4% -4.7% S
    344 St. Cloud, MN 12.6          8.3 -9.5% 2.9% S
    345 Jackson, MI 12.5          3.8 -6.6% 4.6% S
    346 Killeen-Temple, TX 12.2          9.0 -0.7% -7.5% S
    347 Great Falls, MT 11.7          3.1 -1.1% -3.2% S
    348 Santa Fe, NM 11.3          4.3 -2.3% -2.3% S
    349 Fayetteville, NC 10.7        12.4 -0.8% -4.8% S
    350 Dutchess County-Putnam County, NY Metro Div 10.7        11.5 -2.3% -4.4% S
    351 Peoria, IL 10.6        20.5 -1.6% -2.2% M
    352 Springfield, IL 9.9        10.3 -0.6% -7.5% S
    353 Cedar Rapids, IA 9.5        12.9 -6.3% -1.5% S
    354 Merced, CA 9.4          3.9 -2.5% -3.3% S
    355 Sioux City, IA-NE-SD 9.1          8.6 -7.2% -1.5% S
    356 El Centro, CA 9.1          2.5 -18.5% 1.4% S
    357 Bloomington, IL 8.8        17.1 -4.3% -4.5% S
    358 Watertown-Fort Drum, NY 8.3          2.1 -9.9% -12.3% S
    359 Gulfport-Biloxi-Pascagoula, MS 7.4        15.3 -6.9% -5.4% M
    360 Lewiston, ID-WA 7.1          1.2 -2.7% -16.3% S
    361 Decatur, IL 7.1          3.0 -4.2% -9.9% S
    362 Texarkana, TX-AR 6.9          3.7 -7.6% -6.0% S
    363 Utica-Rome, NY 6.5          7.9 -4.8% -9.5% S
    364 Vinel&-Bridgeton, NJ 5.6          3.3 -20.6% -7.4% S
    365 Anniston-Oxford-Jacksonville, AL 5.3          4.3 -7.9% -14.6% S
    366 Bloomington, IN 5.2          4.1 -8.1% -34.4% S