Tag: Best Cities 2016

  • The U.S. Cities Where Manufacturing Is Thriving

    Perhaps no sector in the U.S. economy generates more angst than manufacturing. Over the past quarter century, manufacturing has hemorrhaged over 5 million jobs. The devastation of many regional economies, particularly in the Midwest, is testament to this decline. If the information sector has been the golden child of the media, manufacturing has been the offspring that we pity but can’t comfortably embrace.

    Yet manufacturing remains critically important. Over the period from 1997 to 2012, labor productivity growth in manufacturing—3.3% per year—was a third higher than the rest of the economy. Clearly manufacturing is no technological laggard, accounting in 2012 for 68.9% of all R&D expenditures by U.S. businesses and employing 36% of the nation’s scientists and engineers, the largest share of any industry.

    So even as employment has declined or stagnated, the impact of manufacturing on local economies remains profound. Manufacturing has the highest multiplier effect of any sector of the economy. According to the Commerce Department, a dollar of final demand for manufacturing generates $1.33 in output from other sectors of the economy, considerably higher than the multiplier for information ($0.80) and more than twice as high as such fields as retail trade ($0.66) and business services ($0.61). Other estimates place this impact far higher.

    The Midwest Revival

    Our list of the fastest-growing manufacturing regions differs considerably from our rankings of the best cities for jobs overall, and of the strongest information economies. To avoid the distortions and wild swings that can occur in economies with few industrial jobs, we focused on the 48 metropolitan statistical areas with at least 50,000 manufacturing positions.

    As with our other rankings in this series, the list is based on employment growth in the sector over the short-, medium- and long-term, going back to 2005, and we factor in momentum — whether growth is slowing or accelerating. (For a detailed description of our methodology, click here.)

    Manufacturing has enjoyed something of a renaissance since 2009 — after 12 years of declines, it has gained back 828,000 jobs. But like everything in economics, or life, the resurgence has not been equally distributed. In sharp contrast to other areas of the economy, the industrial heartland has some real winners.

    Grand Rapids-Wyoming, Mich., has boosted its industrial workforce by 29% since 2010 to 110,800 workers, with 5.4% job growth last year alone, placing it first on our list. This growth has been very diversified, with many specialty firms engaged not only in auto parts, but also food, aerospace and defense. The metro area seems to be breaking all the shibboleths ascribed to the “Rust Belt” — unemployment dropped to 3.3% this year, population growth and the birthrate are now well above the national average. For most of our strongest manufacturing economies, however, the real driver has been the recent resurgence in automobile sales, which are now at record levels. Despite all the talk of “peak car” a few years ago, with oil prices in the dumps and the population now once again headed to lower-density areas, driving hit a new peak in 2015 in terms of total vehicle miles traveled.

    The next four fastest-growing industrial areas are all auto-dependent, led by second-ranked Elkhart-Goshen, Ind., where the big business is the highly cyclical recreational vehicle industry. Since 2010, industrial employment has grown 37% in the area to 60,500 jobs.

    In No. 3 Louisville/Jefferson County, which abuts the border of Indiana and Kentucky, the industrial workforce has expanded 25.6% since 2010 to 60,500 jobs. Like Grand Rapids, its base is widely diversified. The largest industrial employers include Ford, which makes pickup trucks and SUVs at two plants in the area; GE Appliances, whose sale to China’s Haier was just completed; Publishers Printing and spirits maker Brown-Forman Corp.

    But the big story, and the big numbers, are in the greater Detroit area, where there are roughly 240,000 manufacturing jobs. About 149,000 of them are in suburban Warren-Troy-Farmington Hills, also known as “automation alley,” where the area’s industrial workforce has expanded by 30.6% since 2010, helping it to a fifth-place showing on our list. In fourth place is Detroit-Dearborn-Livonia, where industrial employment surged 27% since 2010.

    High-Tech Centers Rebound

    Although their growth rates are roughly half those of the auto stars that dominate the top of the list, there has been a healthy recovery in manufacturing jobs in traditional high-tech and aerospace-dominated economies, mostly in the west. No. 6 San Diego-Carlsbad, which, like most metro areas, has lost industrial employment over the past decade, has seen a bit of a rebound since 2010, with an 11.5% expansion to 106,700 jobs concentrated mostly in aerospace and nondurable goods.

    No. 7 Denver-Aurora-Lakewood’s industrial workforce has grown 12.7% since 2010 and 3.7% last year alone, while No. 10 Portland-Vancouver-Hillsboro, Ore.-Wash., where Intel recently completed an expansion, has posted industrial job growth of 12.4% since 2010. A $3 billion plant in suburban Hillsboro has spurred a migration of suppliers as well.

    Despite concerns about the loss of electronics manufacturing to Asia, there has even been a small surge in industrial employment in high-cost, highly regulated Silicon Valley. After losing tens of thousands of manufacturing jobs in the wake of the bursting of the dot.com bubble in 2000, No. 19 San Jose-Sunnyvale-Santa Clara has seen a modest 5.9% upsurge in industrial employment since 2010, helped by the growth of electric vehicle maker Tesla, which now employs about 15,000. The Valley will likely never be the industrial powerhouse it was in decades past (today’s manufacturing employment of 161,900 is still 38% lower than the peak in 2000), but, as firms seek to marry digital technology into the “internet of things,” the area may still continue to produce some real goods, likely before any mass production phase, for the foreseeable future.

    The Big Losers: Los Angeles And Chicago

    A large number of manufacturing-rich areas are continuing to lose industrial jobs, often at a rapid rate. Nearly a third of the 100 largest manufacturing metro areas registered declines in employment in the last two years. This year’s worst performer is Newark, N.J., where manufacturing employment is off almost 4% since 2013 and more than 6% since 2010.

    Perhaps even more disturbing has been the decline of the nation’s two largest agglomerations of industrial jobs, No. 43 Chicago-Naperville-Arlington Heights and No. 27 Los Angeles-Long Beach. Chicago’s decline can be traced, at least in part, to the decline of its traditional industries, such as steel and metal fabrication. For decades, many of these jobs have disappeared, moved south or abroad, and the decline continues,  with  jobs down nearly 1.7% since 2010. Since 1990, the area has lost a remarkable 45% of its industrial jobs.

    But if Chicago’s loss can be attributed to the overall decline of the old industrial base, Los Angeles’ steady losses have come from a more modern mix of aerospace, design and specialty manufacturing. Since 2010 — despite the rapid growth in many manufacturing areas — Los Angeles has managed to lose an additional 3.37% of its industrial jobs. Over the past 25 years, the Big Orange has seen its once thriving industrial base fall from 785,400 to 356,100 jobs—a decline of almost 55%. In both Chicago and Los Angeles, the decline of manufacturing has accompanied demographic stagnation, high rates of poverty and mediocre overall job growth.

    Does Manufacturing Actually Matter?

    In many ways, the answer to that question depends on who you are and the structure of your local economy. To be sure, the San Francisco metro area (San Francisco-Redwood City-South San Francisco), despite a mere 35,500 industrial jobs, too few to even make our list, has transformed its economy so dramatically that the loss of industry seems to have had little impact. New York, once a manufacturing mecca, makes the list at No. 30, but now has barely 78,900 industrial jobs. Yet the city continues to outperform most other large metro areas in terms of overall job growth.

    In places where other sectors such as information or business services have picked up the slack, the overall impact has not led to regional decline. The old blue collar workforce may have suffered, but the shift to a post-industrial future has not been disastrous for the overall economy.

    But few places are as glamorous or alluring as New York or San Francisco, with their appeal to the highly educated, foreign capital and millennial workers. As we can see in Los Angeles and Chicago, as well as many places in the middle of the country, manufacturing still matters, and its decline, or resurgence, remains an issue of paramount importance.

    This piece first appeared at Forbes.

    Joel Kotkin is executive editor of NewGeography.com. He is the Roger Hobbs Distinguished Fellow in Urban Studies at Chapman University and executive director of the Houston-based Center for Opportunity Urbanism. His newest book, The Human City: Urbanism for the rest of us, will be published in April by Agate. He is also author of The New Class ConflictThe 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.

  • Small Cities Manufacturing Jobs – 2016 Best Cities Rankings

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

    2016 Mfg Ranking within Small MSAs Area Weighted INDEX 2015 Mfg Emplmt (1000s) Total Mfg Emplmt Growth Rate 2014-2015 2015 Mfg Ranking within Small MSAs Overall Rank Change
    2014-2015
    1 San Rafael, CA Metro Div 99.4       4.2 13.64% 4 3
    2 Portsmouth, NH-ME NECTA 95.7       8.2 9.38% 32 30
    3 Lake Charles, LA 95.6     10.8 7.64% 83 80
    4 Idaho Falls, ID 95.6       4.2 5.83% 15 11
    5 Bremerton-Silverdale, WA 95.2       2.4 10.77% 89 84
    6 Vallejo-Fairfield, CA 94.1     11.9 5.93% 25 19
    7 Lewiston, ID-WA 93.8       4.4 6.50% 9 2
    8 Greeley, CO 90.9     13.0 4.01% 47 39
    9 Elizabethtown-Fort Knox, KY 90.1       8.1 12.56% 11 2
    10 Columbus, IN 88.4     19.5 2.27% 12 2
    11 St. George, UT 87.6       3.1 5.68% 30 19
    12 Naples-Immokalee-Marco Island, FL 86.0       3.5 3.96% 2 (10)
    13 Bowling Green, KY 85.4     11.6 6.77% 50 37
    14 Tuscaloosa, AL 85.0     15.8 4.19% 33 19
    15 Punta Gorda, FL 84.4       0.8 13.64% 76 61
    16 Florence-Muscle Shoals, AL 84.0       9.7 4.66% 49 33
    17 Coeur d’Alene, ID 84.0       5.2 7.53% 63 46
    18 Wenatchee, WA 82.9       2.6 5.33% 61 43
    19 Cleveland, TN 82.7       9.8 9.70% 109 90
    20 Elkhart-Goshen, IN 82.3     60.5 2.54% 19 (1)
    21 Muskegon, MI 81.6     13.9 3.48% 36 15
    22 Merced, CA 81.5       9.8 13.95% 8 (14)
    23 Bend-Redmond, OR 81.2       5.0 6.43% 18 (5)
    24 Kokomo, IN 81.1     12.2 3.98% 16 (8)
    25 Morgantown, WV 81.0       4.6 1.47% 41 16
    26 Medford, OR 80.6       7.7 3.59% 23 (3)
    27 Napa, CA 79.3     11.9 4.08% 22 (5)
    28 Flagstaff, AZ 77.1       4.4 3.13% 113 85
    29 Mount Vernon-Anacortes, WA 76.3       5.9 1.71% 14 (15)
    30 Port St. Lucie, FL 75.2       6.3 2.73% 37 7
    31 Spartanburg, SC 74.7     29.3 3.78% 42 11
    32 Bellingham, WA 74.4       9.5 3.65% 55 23
    33 San Luis Obispo-Paso Robles-Arroyo Grande, CA 74.3       7.0 0.48% 38 5
    34 Waco, TX 74.1     16.4 4.23% 169 135
    35 Hanford-Corcoran, CA 74.0       4.5 3.85% 100 65
    36 Battle Creek, MI 73.1     12.1 4.01% 62 26
    37 Santa Cruz-Watsonville, CA 73.1       6.5 3.70% 20 (17)
    38 Panama City, FL 73.0       3.8 3.64% 48 10
    39 Lima, OH 73.0       9.3 4.51% 43 4
    40 Lafayette-West Lafayette, IN 72.9     17.6 1.54% 28 (12)
    41 Haverhill-Newburyport-Amesbury Town, MA-NH NECTA Div 72.8       9.5 1.78% 96 55
    42 Grants Pass, OR 72.3       3.0 2.27% 6 (36)
    43 Visalia-Porterville, CA 72.2     12.3 1.65% 65 22
    44 Bay City, MI 71.2       4.4 9.02% 188 144
    45 Ocala, FL 70.7       7.7 5.96% 40 (5)
    46 Saginaw, MI 68.9     12.5 5.04% 75 29
    47 Jackson, MI 68.8       9.7 0.69% 24 (23)
    48 Gadsden, AL 68.8       5.6 4.35% 79 31
    49 Wausau, WI 68.7     16.5 4.21% 74 25
    50 Kennewick-Richland, WA 67.9       7.4 2.79% 31 (19)
    51 Grand Forks, ND-MN 67.2       4.0 1.71% 35 (16)
    52 Yakima, WA 65.8       8.5 5.83% 54 2
    53 Auburn-Opelika, AL 64.6       6.7 0.00% 13 (40)
    54 Prescott, AZ 64.5       3.4 3.03% 26 (28)
    55 Kalamazoo-Portage, MI 63.9     20.9 2.11% 51 (4)
    56 Dover-Durham, NH-ME NECTA 63.1       5.4 3.85% 99 43
    57 Madera, CA 62.4       3.7 -0.89% 1 (56)
    58 Abilene, TX 62.2       2.9 2.33% 102 44
    59 Walla Walla, WA 62.1       3.6 1.87% 103 44
    60 Watertown-Fort Drum, NY 62.0       2.5 2.78% 92 32
    61 Appleton, WI 61.7     23.8 -0.56% 46 (15)
    62 Barnstable Town, MA NECTA 60.9       3.2 0.00% 82 20
    63 Santa Fe, NM 60.7       0.9 0.00% 60 (3)
    64 Midland, TX 60.6       3.6 -11.48% 5 (59)
    65 Topeka, KS 59.3       7.4 2.76% 146 81
    66 Norwich-New London-Westerly, CT-RI NECTA 58.8     16.0 6.68% 153 87
    67 East Stroudsburg, PA 58.8       4.9 4.23% 172 105
    68 Grand Junction, CO 58.6       2.9 3.61% 81 13
    69 Dover, DE 58.3       4.8 1.40% 115 46
    70 Sherman-Denison, TX 58.0       5.7 5.56% 123 53
    71 College Station-Bryan, TX 57.5       5.4 0.62% 10 (61)
    72 Logan, UT-ID 57.3     11.4 0.59% 106 34
    73 Muncie, IN 57.3       4.4 3.15% 120 47
    74 Pittsfield, MA NECTA 57.0       4.0 5.26% 85 11
    75 Pueblo, CO 56.5       4.5 -2.86% 7 (68)
    76 Janesville-Beloit, WI 55.4       9.6 1.41% 56 (20)
    77 Tyler, TX 55.4       6.4 9.66% 156 79
    78 Vineland-Bridgeton, NJ 55.1       8.7 3.57% 144 66
    79 San Angelo, TX 55.0       3.4 0.99% 108 29
    80 Fond du Lac, WI 54.7     10.7 -1.54% 44 (36)
    81 Sioux City, IA-NE-SD 54.6     15.1 -0.88% 119 38
    82 Morristown, TN 54.3     10.9 4.79% 112 30
    83 Brownsville-Harlingen, TX 54.2       6.0 1.13% 126 43
    84 Niles-Benton Harbor, MI 54.1     13.1 0.26% 39 (45)
    85 South Bend-Mishawaka, IN-MI 53.8     17.5 3.14% 91 6
    86 Gainesville, FL 53.7       4.5 5.47% 181 95
    87 Gettysburg, PA 53.5       6.9 1.48% 52 (35)
    88 Dalton, GA 52.7     23.7 4.10% 73 (15)
    89 Bloomington, IN 52.6       8.7 0.77% 164 75
    90 Sheboygan, WI 52.5     20.4 0.00% 59 (31)
    91 Lake Havasu City-Kingman, AZ 52.4       3.0 3.49% 122 31
    92 Kankakee, IL 52.3       5.6 -4.02% 45 (47)
    93 Albany, OR 52.3       7.2 1.41% 104 11
    94 Racine, WI 51.8     18.6 -2.27% 87 (7)
    95 Olympia-Tumwater, WA 51.6       3.2 -4.90% 71 (24)
    96 Lewiston-Auburn, ME NECTA 51.5       5.3 1.27% 94 (2)
    97 Jackson, TN 51.3     10.1 3.05% 134 37
    98 Monroe, MI 51.1       5.5 1.23% 21 (77)
    99 Rome, GA 50.6       6.1 4.00% 147 48
    100 Flint, MI 50.3     12.0 -1.90% 34 (66)
    101 Salinas, CA 50.1       5.5 2.50% 179 78
    102 Charlottesville, VA 49.9       3.9 -0.84% 95 (7)
    103 Chambersburg-Waynesboro, PA 49.7       9.4 -4.10% 29 (74)
    104 Rocky Mount, NC 49.7     11.2 4.04% 178 74
    105 Fargo, ND-MN 49.5       9.9 -3.90% 69 (36)
    106 Altoona, PA 49.3       7.7 1.32% 157 51
    107 Kahului-Wailuku-Lahaina, HI 48.8       1.2 0.00% 53 (54)
    108 Yuba City, CA 47.4       2.1 0.00% 132 24
    109 Lowell-Billerica-Chelmsford, MA-NH NECTA Div 47.4     22.6 0.30% 136 27
    110 Clarksville, TN-KY 47.3     10.4 0.00% 90 (20)
    111 Danville, IL 46.7       5.1 -2.53% 57 (54)
    112 Burlington, NC 46.6       9.0 1.51% 98 (14)
    113 Pocatello, ID 46.5       1.9 18.75% 209 96
    114 Owensboro, KY 46.3       8.4 0.00% 114 0
    115 Cedar Rapids, IA 46.2     20.3 0.16% 150 35
    116 Mansfield, OH 46.1       9.7 2.11% 110 (6)
    117 Springfield, OH 45.6       6.7 -0.50% 78 (39)
    118 Bismarck, ND 45.3       2.0 -1.67% 72 (46)
    119 Charleston, WV 45.3       3.5 0.00% 145 26
    120 Yuma, AZ 44.8       2.2 -1.47% 67 (53)
    121 Oshkosh-Neenah, WI 44.6     22.6 2.57% 194 73
    122 Odessa, TX 44.4       4.8 -19.89% 17 (105)
    123 Erie, PA 43.9     22.0 -1.64% 111 (12)
    124 Elmira, NY 43.7       5.3 1.91% 195 71
    125 Hickory-Lenoir-Morganton, NC 43.1     39.7 0.51% 97 (28)
    126 Utica-Rome, NY 42.7     11.3 2.10% 155 29
    127 Longview, WA 42.7       6.4 -1.55% 70 (57)
    128 Eau Claire, WI 42.3     10.4 -0.63% 130 2
    129 Hattiesburg, MS 41.6       4.1 0.82% 190 61
    130 Hagerstown-Martinsburg, MD-WV 41.3       7.9 3.48% 183 53
    131 Decatur, AL 41.0     12.0 0.56% 160 29
    132 Cheyenne, WY 40.5       1.4 2.50% 149 17
    133 Champaign-Urbana, IL 40.3       8.2 0.00% 143 10
    134 Michigan City-La Porte, IN 39.6       7.7 0.43% 128 (6)
    135 Anniston-Oxford-Jacksonville, AL 39.4       5.9 0.00% 135 0
    136 New Bedford, MA NECTA 39.2       7.9 0.42% 141 5
    137 Lubbock, TX 39.1       4.9 -2.00% 137 0
    138 Kingsport-Bristol-Bristol, TN-VA 39.1     21.5 -0.15% 127 (11)
    139 Huntington-Ashland, WV-KY-OH 38.8     11.0 -1.79% 88 (51)
    140 Ithaca, NY 38.8       3.4 -1.94% 64 (76)
    141 Redding, CA 38.2       2.3 0.00% 86 (55)
    142 Decatur, IL 37.9     10.1 -1.30% 175 33
    143 Lawrence-Methuen Town-Salem, MA-NH NECTA Div 37.9       9.6 0.00% 148 5
    144 Sumter, SC 37.6       6.5 -2.00% 68 (76)
    145 St. Cloud, MN 37.6     14.9 -2.40% 101 (44)
    146 Amarillo, TX 36.6     12.8 -2.30% 162 16
    147 State College, PA 36.2       4.0 -1.64% 163 16
    148 Glens Falls, NY 36.2       6.0 0.56% 180 32
    149 Joplin, MO 35.9     13.0 -0.26% 158 9
    150 La Crosse-Onalaska, WI-MN 35.7       8.4 -1.57% 138 (12)
    151 Killeen-Temple, TX 35.6       7.3 -1.80% 121 (30)
    152 Brockton-Bridgewater-Easton, MA NECTA Div 34.2       5.5 0.00% 129 (23)
    153 Chico, CA 33.4       3.4 -12.07% 66 (87)
    154 Waterloo-Cedar Falls, IA 33.3     16.0 -5.15% 125 (29)
    155 Rapid City, SD 32.6       2.8 -6.74% 105 (50)
    156 Lebanon, PA 32.3       8.6 -1.15% 173 17
    157 Rochester, MN 31.8     10.8 0.31% 177 20
    158 Johnson City, TN 31.2       7.6 0.88% 140 (18)
    159 Leominster-Gardner, MA NECTA 31.1       6.3 0.53% 176 17
    160 Terre Haute, IN 31.0     10.8 -2.40% 170 10
    161 Lynn-Saugus-Marblehead, MA NECTA Div 30.9       4.6 0.00% 196 35
    162 Greenville, NC 30.6       6.1 -3.17% 84 (78)
    163 Fairbanks, AK 30.6       0.6 -5.56% 197 34
    164 Lynchburg, VA 30.2     14.5 0.93% 151 (13)
    165 Albany, GA 29.5       4.3 0.00% 166 1
    166 Texarkana, TX-AR 29.1       5.3 -0.63% 152 (14)
    167 Waterbury, CT NECTA 28.5       7.6 0.00% 187 20
    168 Nashua, NH-MA NECTA Div 28.3     19.6 -0.34% 174 6
    169 Johnstown, PA 28.2       3.9 -0.84% 193 24
    170 Carson City, NV 28.0       2.6 -3.70% 161 (9)
    171 Atlantic City-Hammonton, NJ 27.1       2.1 0.00% 185 14
    172 Kingston, NY 27.1       3.4 0.00% 116 (56)
    173 Bangor, ME NECTA 27.0       2.4 0.00% 203 30
    174 Victoria, TX 26.5       2.5 -5.13% 165 (9)
    175 Springfield, IL 26.2       2.9 -4.35% 171 (4)
    176 Burlington-South Burlington, VT NECTA 25.7     13.2 -2.46% 191 15
    177 Lawton, OK 24.9       3.5 -3.64% 133 (44)
    178 Columbus, GA-AL 24.6     10.2 -5.85% 93 (85)
    179 Wilmington, NC 24.1       5.7 -1.72% 198 19
    180 Sierra Vista-Douglas, AZ 23.5       0.5 0.00% 189 9
    181 Casper, WY 23.4       1.6 -11.11% 117 (64)
    182 Williamsport, PA 22.9       7.9 0.42% 182 0
    183 Monroe, LA 22.5       6.6 -2.96% 124 (59)
    184 Dutchess County-Putnam County, NY Metro Div 22.4     10.7 1.26% 202 18
    185 Sebastian-Vero Beach, FL 21.8       1.8 -16.92% 3 (182)
    186 Taunton-Middleborough-Norton, MA NECTA Div 21.3       5.8 -5.46% 118 (68)
    187 Duluth, MN-WI 21.0       6.7 -9.87% 159 (28)
    188 Bloomsburg-Berwick, PA 19.4       5.4 -4.68% 168 (20)
    189 Fort Smith, AR-OK 19.1     17.7 -2.74% 131 (58)
    190 Weirton-Steubenville, WV-OH 17.9       5.4 0.00% 192 2
    191 Wichita Falls, TX 17.1       5.0 -4.46% 186 (5)
    192 Longview, TX 17.0       9.6 -10.87% 107 (85)
    193 Wheeling, WV-OH 15.8       3.0 -2.15% 200 7
    194 Manchester, NH NECTA 15.7       7.5 -3.86% 167 (27)
    195 Corvallis, OR 15.5       2.9 -3.33% 184 (11)
    196 Bloomington, IL 14.8       4.3 -10.42% 142 (54)
    197 Binghamton, NY 13.0     11.4 -1.16% 208 11
    198 Fayetteville, NC 12.3       7.7 -2.53% 204 6
    199 Crestview-Fort Walton Beach-Destin, FL 12.0       3.5 0.00% 206 7
    200 Dothan, AL 11.0       4.3 -3.03% 205 5
    201 Peabody-Salem-Beverly, MA NECTA Div 10.3       7.1 -8.19% 154 (47)
    202 Laredo, TX 8.2       0.7 -8.70% 201 (1)
    203 Parkersburg-Vienna, WV 8.0       2.7 -8.99% 199 (4)
    204 El Centro, CA 7.6       1.0 -3.23% 210 6
    205 Las Cruces, NM 7.0       2.3 -6.67% 207 2
  • Mid Sized Cities Manufacturing Jobs – 2016 Best Cities Rankings

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

    2016 Mfg Ranking within Midsized MSAs Area Weighted INDEX 2015 Mfg Emplmt (1000s) Total Mfg Emplmt Growth Rate 2014-2015 2015 Mfg Ranking within Midsized MSAs Overall Rank Change
    2014-2015
    1 Savannah, GA 96.7    18.0 6.31% 2 1
    2 Fort Collins, CO 86.1    13.2 6.15% 3 1
    3 Charleston-North Charleston, SC 85.4    26.1 3.57% 10 7
    4 Mobile, AL 85.3    19.8 2.06% 23 19
    5 Columbia, SC 83.4    32.7 6.05% 8 3
    6 Ogden-Clearfield, UT 82.4    31.7 5.31% 14 8
    7 Deltona-Daytona Beach-Ormond Beach, FL 79.3    11.1 5.40% 13 6
    8 Beaumont-Port Arthur, TX 78.5    23.2 -0.43% 20 12
    9 Santa Maria-Santa Barbara, CA 76.1    13.2 6.45% 31 22
    10 Cape Coral-Fort Myers, FL 75.8      5.5 5.13% 4 (6)
    11 Lansing-East Lansing, MI 74.1    20.0 5.63% 11 0
    12 Baton Rouge, LA 73.4    29.5 1.37% 3 (9)
    13 Toledo, OH 71.8    44.2 2.95% 1 (12)
    14 North Port-Sarasota-Bradenton, FL 71.4    16.5 3.77% 17 3
    15 Stockton-Lodi, CA 71.4    19.3 6.45% 15 0
    16 Fresno, CA 67.3    25.2 4.72% 60 44
    17 Salem, OR 66.7    12.5 4.17% 32 15
    18 Jackson, MS 64.9    19.2 4.36% 28 10
    19 Asheville, NC 64.8    20.0 2.56% 52 33
    20 Greenville-Anderson-Mauldin, SC 64.7    55.1 1.10% 27 7
    21 Madison, WI 64.6    33.8 3.79% 12 (9)
    22 Reno, NV 64.2    13.0 2.89% 9 (13)
    23 Santa Rosa, CA 64.2    21.5 2.54% 57 34
    24 Montgomery, AL 61.4    19.0 2.51% 41 17
    25 Boise City, ID 61.3    25.6 3.92% 43 18
    26 Rockford, IL 61.2    32.1 0.31% 37 11
    27 Palm Bay-Melbourne-Titusville, FL 60.7    21.3 5.61% 76 49
    28 Lake County-Kenosha County, IL-WI Metro Div 60.3    59.9 1.07% 42 14
    29 Reading, PA 60.0    30.9 1.53% 44 15
    30 Lakeland-Winter Haven, FL 59.2    16.7 1.83% 21 (9)
    31 Fort Wayne, IN 58.0    35.2 1.25% 34 3
    32 Boulder, CO 57.9    17.6 0.00% 24 (8)
    33 Des Moines-West Des Moines, IA 57.0    19.9 0.34% 33 0
    34 Sioux Falls, SD 56.9    13.5 -1.70% 24 (10)
    35 Winston-Salem, NC 55.3    32.2 2.87% 30 (5)
    36 Green Bay, WI 54.7    29.4 0.69% 49 13
    37 Provo-Orem, UT 54.2    18.2 -1.62% 16 (21)
    38 Lincoln, NE 53.7    13.9 1.22% 29 (9)
    39 Pensacola-Ferry Pass-Brent, FL 53.2      6.1 1.11% 19 (20)
    40 Wilmington, DE-MD-NJ Metro Div 52.3    19.6 3.34% 83 43
    41 Dayton, OH 51.6    40.5 2.44% 40 (1)
    42 Allentown-Bethlehem-Easton, PA-NJ 51.3    36.4 1.67% 56 14
    43 Knoxville, TN 51.2    36.4 2.92% 50 7
    44 Harrisburg-Carlisle, PA 50.7    21.3 -0.47% 36 (8)
    45 Canton-Massillon, OH 50.2    27.8 -2.00% 26 (19)
    46 Lexington-Fayette, KY 50.0    30.9 0.22% 46 0
    47 Eugene, OR 49.7    13.3 2.57% 39 (8)
    48 Chattanooga, TN-GA 49.3    31.1 1.19% 47 (1)
    49 Elgin, IL Metro Div 49.2    35.3 1.15% 53 4
    50 Ann Arbor, MI 48.7    14.9 4.20% 64 14
    51 McAllen-Edinburg-Mission, TX 48.1      6.6 2.58% 79 28
    52 Greensboro-High Point, NC 48.0    54.6 1.55% 55 3
    53 Bakersfield, CA 47.0    13.8 -3.94% 5 (48)
    54 Modesto, CA 45.7    19.9 -0.50% 86 32
    55 Gary, IN Metro Div 45.6    36.2 -1.99% 38 (17)
    56 Roanoke, VA 45.3    16.6 1.84% 48 (8)
    57 Portland-South Portland, ME NECTA 44.6    12.6 2.16% 81 24
    58 Evansville, IN-KY 44.0    22.6 -0.73% 35 (23)
    59 Springfield, MO 42.5    14.3 -4.45% 6 (53)
    60 Akron, OH 42.3    40.3 0.00% 61 1
    61 Tulsa, OK 41.9    47.4 -9.66% 22 (39)
    62 Huntsville, AL 41.4    23.6 1.29% 74 12
    63 Little Rock-North Little Rock-Conway, AR 41.1    20.4 0.49% 58 (5)
    64 Tacoma-Lakewood, WA Metro Div 41.0    17.0 -0.20% 51 (13)
    65 Spokane-Spokane Valley, WA 40.6    16.6 -1.77% 45 (20)
    66 Lafayette, LA 39.8    16.7 -16.19% 7 (59)
    67 Lancaster, PA 39.7    36.3 0.83% 65 (2)
    68 Tucson, AZ 38.9    23.0 2.83% 85 17
    69 Augusta-Richmond County, GA-SC 38.8    20.5 0.66% 68 (1)
    70 Wichita, KS 38.3    52.5 0.32% 77 7
    71 Anchorage, AK 37.8      2.0 -10.29% 18 (53)
    72 Worcester, MA-CT NECTA 37.3    27.6 0.73% 72 0
    73 Davenport-Moline-Rock Island, IA-IL 36.9    23.4 -2.36% 54 (19)
    74 Gulfport-Biloxi-Pascagoula, MS 36.8    19.0 -1.73% 71 (3)
    75 York-Hanover, PA 34.6    31.2 0.54% 82 7
    76 Syracuse, NY 33.7    24.9 1.91% 73 (3)
    77 Calvert-Charles-Prince George’s, MD 32.6      8.3 2.06% 92 15
    78 Myrtle Beach-Conway-North Myrtle Beach, SC-NC 32.2      4.4 -0.76% 36 (42)
    79 Oxnard-Thousand Oaks-Ventura, CA 32.2    30.3 -0.55% 69 (10)
    80 Salisbury, MD-DE 31.0    13.9 -2.34% 64 (16)
    81 Scranton–Wilkes-Barre–Hazleton, PA 29.3    27.1 -0.25% 70 (11)
    82 Colorado Springs, CO 28.8    11.7 -1.40% 62 (20)
    83 Corpus Christi, TX 28.6      9.2 -3.15% 59 (24)
    84 El Paso, TX 28.0    17.0 0.20% 78 (6)
    85 Shreveport-Bossier City, LA 26.2    10.8 -1.52% 67 (18)
    86 Fayetteville-Springdale-Rogers, AR-MO 23.8    26.5 -2.81% 63 (23)
    87 Framingham, MA NECTA Division 23.2    24.6 -3.91% 80 (7)
    88 Youngstown-Warren-Boardman, OH-PA 22.6    29.7 -3.99% 39 (49)
    89 Springfield, MA-CT NECTA 21.3    28.9 -0.91% 90 1
    90 Tallahassee, FL 20.0      3.0 -1.11% 93 3
    91 Peoria, IL 20.0    24.2 -9.13% 75 (16)
    92 Durham-Chapel Hill, NC 20.0    28.8 -3.89% 66 (26)
    93 Trenton, NJ 19.6      7.8 -3.69% 25 (68)
    94 New Haven, CT NECTA 18.8    24.1 -1.77% 87 (7)
    95 Bridgeport-Stamford-Norwalk, CT NECTA 18.2    31.2 -1.89% 89 (6)
    96 Albuquerque, NM 17.3    16.1 -1.43% 88 (8)
    97 Delaware County, PA 15.1    14.2 -5.11% 91 (6)
    98 Baltimore City, MD 9.3    10.7 -5.03% 84 (14)
  • Large Cities Manufacturing Jobs – 2016 Best Cities Rankings

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

    2016 Mfg Ranking within Large MSAs Area Weighted INDEX 2015 Mfg Emplmt (1000s) Total Mfg Emplmt Growth Rate 2014-2015 2015 Mfg Ranking within Large MSAs Overall Rank Change
    2014-2015
    1 Grand Rapids-Wyoming, MI 84.1    110.8 5.4% 3 2
    2 Albany-Schenectady-Troy, NY 83.9      25.8 5.0% 5 3
    3 Louisville/Jefferson County, KY-IN 75.6      78.2 3.3% 7 4
    4 Kansas City, MO 73.1      44.3 4.9% 8 4
    5 Orlando-Kissimmee-Sanford, FL 72.6      42.7 6.7% 16 11
    6 Detroit-Dearborn-Livonia, MI Metro Div 71.1      90.4 1.5% 1 (5)
    7 Warren-Troy-Farmington Hills, MI Metro Div 70.8    149.0 1.5% 2 (5)
    8 San Diego-Carlsbad, CA 70.2    106.7 3.0% 36 28
    9 Denver-Aurora-Lakewood, CO 70.2      69.2 3.7% 13 4
    10 Oakland-Hayward-Berkeley, CA Metro Div 67.0      87.8 3.1% 26 16
    11 Cincinnati, OH-KY-IN 66.9    115.2 3.3% 25 14
    12 Portland-Vancouver-Hillsboro, OR-WA 66.0    122.0 2.0% 10 (2)
    13 Nashville-Davidson–Murfreesboro–Franklin, TN 65.8      80.8 2.5% 4 (9)
    14 Raleigh, NC 65.7      33.9 1.1% 21 7
    15 Atlanta-Sandy Springs-Roswell, GA 63.9    160.9 3.8% 23 8
    16 Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metro Div 63.4      28.3 3.3% 14 (2)
    17 West Palm Beach-Boca Raton-Delray Beach, FL Metro Div 63.3      17.6 3.7% 11 (6)
    18 Seattle-Bellevue-Everett, WA Metro Div 60.2    169.3 -0.6% 34 16
    19 Riverside-San Bernardino-Ontario, CA 60.0      96.5 3.1% 18 (1)
    20 Salt Lake City, UT 59.8      55.1 1.7% 49 29
    21 Jacksonville, FL 59.6      29.8 3.5% 47 26
    22 Charlotte-Concord-Gastonia, NC-SC 59.6    104.2 2.1% 24 2
    23 San Jose-Sunnyvale-Santa Clara, CA 58.9    161.9 1.8% 15 (8)
    24 Minneapolis-St. Paul-Bloomington, MN-WI 56.8    194.0 0.8% 12 (12)
    25 Kansas City, KS 55.6      31.6 3.5% 50 25
    26 Las Vegas-Henderson-Paradise, NV 54.6      21.8 2.0% 29 3
    27 Omaha-Council Bluffs, NE-IA 54.2      32.9 0.7% 48 21
    28 Sacramento–Roseville–Arden-Arcade, CA 54.1      36.2 1.5% 19 (9)
    29 Oklahoma City, OK 53.1      36.9 -3.7% 6 (23)
    30 Phoenix-Mesa-Scottsdale, AZ 53.1    121.1 2.0% 44 14
    31 San Antonio-New Braunfels, TX 53.1      47.1 0.5% 52 21
    32 Columbus, OH 52.2      71.6 0.7% 39 7
    33 Miami-Miami Beach-Kendall, FL Metro Div 51.3      39.1 1.9% 22 (11)
    34 Milwaukee-Waukesha-West Allis, WI 49.0    121.0 0.4% 33 (1)
    35 Houston-The Woodlands-Sugar Land, TX 47.3    238.0 -8.8% 9 (26)
    36 Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Div 47.1      36.1 3.6% 67 31
    37 Fort Worth-Arlington, TX Metro Div 46.6      94.5 -3.2% 17 (20)
    38 Silver Spring-Frederick-Rockville, MD Metro Div 46.0      17.1 0.8% 54 16
    39 Austin-Round Rock, TX 45.2      57.1 -0.3% 31 (8)
    40 Urban Honolulu, HI 44.8      11.0 -1.8% 41 1
    41 Indianapolis-Carmel-Anderson, IN 44.1      89.8 -0.1% 20 (21)
    42 Camden, NJ Metro Div 42.9      36.6 4.0% 58 16
    43 Tampa-St. Petersburg-Clearwater, FL 42.8      62.0 1.1% 32 (11)
    44 Northern Virginia, VA 40.3      24.4 2.2% 51 7
    45 New York City, NY 40.0      78.9 2.2% 62 17
    46 San Francisco-Redwood City-South San Francisco, CA Metro Div 39.9      35.5 -1.7% 28 (18)
    47 Providence-Warwick, RI-MA NECTA 39.1      52.5 1.5% 30 (17)
    48 Middlesex-Monmouth-Ocean, NJ 38.8      44.3 0.8% 45 (3)
    49 Memphis, TN-MS-AR 38.1      44.9 0.2% 56 7
    50 Cleveland-Elyria, OH 37.8    123.9 -1.0% 40 (10)
    51 Anaheim-Santa Ana-Irvine, CA Metro Div 37.6    156.3 -0.5% 35 (16)
    52 Hartford-West Hartford-East Hartford, CT NECTA 36.3      55.5 0.3% 65 13
    53 St. Louis, MO-IL 36.2    112.3 -0.9% 27 (26)
    54 Dallas-Plano-Irving, TX Metro Div 36.1    166.2 -0.2% 55 1
    55 Birmingham-Hoover, AL 36.1      37.3 -4.0% 37 (18)
    56 Buffalo-Cheektowaga-Niagara Falls, NY 36.0      51.8 -0.6% 38 (18)
    57 Nassau County-Suffolk County, NY Metro Div 33.8      72.1 0.8% 64 7
    58 Virginia Beach-Norfolk-Newport News, VA-NC 33.4      52.6 -2.9% 46 (12)
    59 Boston-Cambridge-Newton, MA NECTA Division 33.4      81.7 0.0% 57 (2)
    60 Montgomery County-Bucks County-Chester County, PA Metro Div 31.8      90.1 -0.6% 43 (17)
    61 Chicago-Naperville-Arlington Heights, IL Metro Div 31.5    281.5 -0.2% 60 (1)
    62 Rochester, NY 28.1      58.9 0.3% 61 (1)
    63 Bergen-Hudson-Passaic, NJ 27.8      58.3 0.6% 66 3
    64 Pittsburgh, PA 27.2      85.6 -3.2% 42 (22)
    65 Richmond, VA 27.1      30.7 -0.4% 53 (12)
    66 New Orleans-Metairie, LA 25.6      30.5 -0.7% 70 4
    67 Los Angeles-Long Beach-Glendale, CA Metro Div 22.6    356.1 -1.7% 59 (8)
    68 Newark, NJ-PA Metro Div 21.6      75.9 0.0% 63 (5)
    69 Orange-Rockland-Westchester, NY 20.2      29.5 -2.5% 69 0
    70 Philadelphia City, PA 16.1      20.9 -2.3% 68 (2)
  • All Cities Manufacturing Jobs – 2016 Best Cities Rankings

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

    2016 Overall Mfg Rank Area Weighted INDEX 2015 Mfg  Emplmt (1000s) Total Mfg Emplmt Growth Rate 2014-2015 2016 Nonfarm MSA Size Group 2015 Overall Mfg Rank Overall Rank Change
    2014-2015
    1 San Rafael, CA Metro Div 99.4       4.2 13.6% S 4 3
    2 Savannah, GA 96.7     18.0 6.3% M 26 24
    3 Portsmouth, NH-ME NECTA 95.7       8.2 9.4% S 38 35
    4 Lake Charles, LA 95.6     10.8 7.6% S 140 136
    5 Idaho Falls, ID 95.6       4.2 5.8% S 15 10
    6 Bremerton-Silverdale, WA 95.2       2.4 10.8% S 153 147
    7 Vallejo-Fairfield, CA 94.1     11.9 5.9% S 29 22
    8 Lewiston, ID-WA 93.8       4.4 6.5% S 9 1
    9 Greeley, CO 90.9     13.0 4.0% S 65 56
    10 Elizabethtown-Fort Knox, KY 90.1       8.1 12.6% S 11 1
    11 Columbus, IN 88.4     19.5 2.3% S 12 1
    12 St. George, UT 87.6       3.1 5.7% S 36 24
    13 Fort Collins, CO 86.1     13.2 6.1% M 31 18
    14 Naples-Immokalee-Marco Island, FL 86.0       3.5 4.0% S 2 (12)
    15 Charleston-North Charleston, SC 85.4     26.1 3.6% M 55 40
    16 Bowling Green, KY 85.4     11.6 6.8% S 71 55
    17 Mobile, AL 85.3     19.8 2.1% M 89 72
    18 Tuscaloosa, AL 85.0     15.8 4.2% S 39 21
    19 Punta Gorda, FL 84.4       0.8 13.6% S 119 100
    20 Grand Rapids-Wyoming, MI 84.1   110.8 5.4% L 40 20
    21 Florence-Muscle Shoals, AL 84.0       9.7 4.7% S 70 49
    22 Coeur d’Alene, ID 84.0       5.2 7.5% S 99 77
    23 Albany-Schenectady-Troy, NY 83.9     25.8 5.0% L 66 43
    24 Columbia, SC 83.4     32.7 6.1% M 50 26
    25 Wenatchee, WA 82.9       2.6 5.3% S 97 72
    26 Cleveland, TN 82.7       9.8 9.7% S 182 156
    27 Ogden-Clearfield, UT 82.4     31.7 5.3% M 60 33
    28 Elkhart-Goshen, IN 82.3     60.5 2.5% S 22 (6)
    29 Muskegon, MI 81.6     13.9 3.5% S 44 15
    30 Merced, CA 81.5       9.8 14.0% S 8 (22)
    31 Bend-Redmond, OR 81.2       5.0 6.4% S 21 (10)
    32 Kokomo, IN 81.1     12.2 4.0% S 17 (15)
    33 Morgantown, WV 81.0       4.6 1.5% S 54 21
    34 Medford, OR 80.6       7.7 3.6% S 27 (7)
    35 Deltona-Daytona Beach-Ormond Beach, FL 79.3     11.1 5.4% M 58 23
    36 Napa, CA 79.3     11.9 4.1% S 25 (11)
    37 Beaumont-Port Arthur, TX 78.5     23.2 -0.4% M 81 44
    38 Flagstaff, AZ 77.1       4.4 3.1% S 189 151
    39 Mount Vernon-Anacortes, WA 76.3       5.9 1.7% S 14 (25)
    40 Santa Maria-Santa Barbara, CA 76.1     13.2 6.5% M 113 73
    41 Cape Coral-Fort Myers, FL 75.8       5.5 5.1% M 35 (6)
    42 Louisville/Jefferson County, KY-IN 75.6     78.2 3.3% L 78 36
    43 Port St. Lucie, FL 75.2       6.3 2.7% S 45 2
    44 Spartanburg, SC 74.7     29.3 3.8% S 59 15
    45 Bellingham, WA 74.4       9.5 3.6% S 82 37
    46 San Luis Obispo-Paso Robles-Arroyo Grande, CA 74.3       7.0 0.5% S 47 1
    47 Lansing-East Lansing, MI 74.1     20.0 5.6% M 56 9
    48 Waco, TX 74.1     16.4 4.2% S 304 256
    49 Hanford-Corcoran, CA 74.0       4.5 3.8% S 170 121
    50 Baton Rouge, LA 73.4     29.5 1.4% M 33 (17)
    51 Kansas City, MO 73.1     44.3 4.9% L 85 34
    52 Battle Creek, MI 73.1     12.1 4.0% S 98 46
    53 Santa Cruz-Watsonville, CA 73.1       6.5 3.7% S 23 (30)
    54 Panama City, FL 73.0       3.8 3.6% S 67 13
    55 Lima, OH 73.0       9.3 4.5% S 61 6
    56 Lafayette-West Lafayette, IN 72.9     17.6 1.5% S 32 (24)
    57 Haverhill-Newburyport-Amesbury Town, MA-NH NECTA Div 72.8       9.5 1.8% S 163 106
    58 Orlando-Kissimmee-Sanford, FL 72.6     42.7 6.7% L 139 81
    59 Grants Pass, OR 72.3       3.0 2.3% S 6 (53)
    60 Visalia-Porterville, CA 72.2     12.3 1.7% S 101 41
    61 Toledo, OH 71.8     44.2 3.0% M 19 (42)
    62 North Port-Sarasota-Bradenton, FL 71.4     16.5 3.8% M 73 11
    63 Stockton-Lodi, CA 71.4     19.3 6.4% M 69 6
    64 Bay City, MI 71.2       4.4 9.0% S 342 278
    65 Detroit-Dearborn-Livonia, MI Metro Div 71.1     90.4 1.5% L 16 (49)
    66 Warren-Troy-Farmington Hills, MI Metro Div 70.8   149.0 1.5% L 20 (46)
    67 Ocala, FL 70.7       7.7 6.0% S 53 (14)
    68 San Diego-Carlsbad, CA 70.2   106.7 3.0% L 210 142
    69 Denver-Aurora-Lakewood, CO 70.2     69.2 3.7% L 131 62
    70 Saginaw, MI 68.9     12.5 5.0% S 117 47
    71 Jackson, MI 68.8       9.7 0.7% S 28 (43)
    72 Gadsden, AL 68.8       5.6 4.3% S 126 54
    73 Wausau, WI 68.7     16.5 4.2% S 116 43
    74 Kennewick-Richland, WA 67.9       7.4 2.8% S 37 (37)
    75 Fresno, CA 67.3     25.2 4.7% M 223 148
    76 Grand Forks, ND-MN 67.2       4.0 1.7% S 43 (33)
    77 Oakland-Hayward-Berkeley, CA Metro Div 67.0     87.8 3.1% L 175 98
    78 Cincinnati, OH-KY-IN 66.9   115.2 3.3% L 169 91
    79 Salem, OR 66.7     12.5 4.2% M 114 35
    80 Portland-Vancouver-Hillsboro, OR-WA 66.0   122.0 2.0% L 103 23
    81 Yakima, WA 65.8       8.5 5.8% S 79 (2)
    82 Nashville-Davidson–Murfreesboro–Franklin, TN 65.8     80.8 2.5% L 46 (36)
    83 Raleigh, NC 65.7     33.9 1.1% L 155 72
    84 Jackson, MS 64.9     19.2 4.4% M 106 22
    85 Asheville, NC 64.8     20.0 2.6% M 203 118
    86 Greenville-Anderson-Mauldin, SC 64.7     55.1 1.1% M 96 10
    87 Madison, WI 64.6     33.8 3.8% M 57 (30)
    88 Auburn-Opelika, AL 64.6       6.7 0.0% S 13 (75)
    89 Prescott, AZ 64.5       3.4 3.0% S 30 (59)
    90 Reno, NV 64.2     13.0 2.9% M 52 (38)
    91 Santa Rosa, CA 64.2     21.5 2.5% M 214 123
    92 Atlanta-Sandy Springs-Roswell, GA 63.9   160.9 3.8% L 166 74
    93 Kalamazoo-Portage, MI 63.9     20.9 2.1% S 74 (19)
    94 Fort Lauderdale-Pompano Beach-Deerfield Beach, FL MtDiv 63.4     28.3 3.3% L 132 38
    95 West Palm Beach-Boca Raton-Delray Beach, FL Metro Div 63.3     17.6 3.7% L 128 33
    96 Dover-Durham, NH-ME NECTA 63.1       5.4 3.8% S 168 72
    97 Madera, CA 62.4       3.7 -0.9% S 1 (96)
    98 Abilene, TX 62.2       2.9 2.3% S 173 75
    99 Walla Walla, WA 62.1       3.6 1.9% S 174 75
    100 Watertown-Fort Drum, NY 62.0       2.5 2.8% S 158 58
    101 Appleton, WI 61.7     23.8 -0.6% S 64 (37)
    102 Montgomery, AL 61.4     19.0 2.5% M 137 35
    103 Boise City, ID 61.3     25.6 3.9% M 146 43
    104 Rockford, IL 61.2     32.1 0.3% M 125 21
    105 Barnstable Town, MA NECTA 60.9       3.2 0.0% S 138 33
    106 Palm Bay-Melbourne-Titusville, FL 60.7     21.3 5.6% M 303 197
    107 Santa Fe, NM 60.7       0.9 0.0% S 94 (13)
    108 Midland, TX 60.6       3.6 -11.5% S 5 (103)
    109 Lake County-Kenosha County, IL-WI Metro Div 60.3     59.9 1.1% M 141 32
    110 Seattle-Bellevue-Everett, WA Metro Div 60.2   169.3 -0.6% L 202 92
    111 Riverside-San Bernardino-Ontario, CA 60.0     96.5 3.1% L 145 34
    112 Reading, PA 60.0     30.9 1.5% M 151 39
    113 Salt Lake City, UT 59.8     55.1 1.7% L 257 144
    114 Jacksonville, FL 59.6     29.8 3.5% L 250 136
    115 Charlotte-Concord-Gastonia, NC-SC 59.6   104.2 2.1% L 167 52
    116 Topeka, KS 59.3       7.4 2.8% S 264 148
    117 Lakeland-Winter Haven, FL 59.2     16.7 1.8% M 83 (34)
    118 San Jose-Sunnyvale-Santa Clara, CA 58.9   161.9 1.8% L 135 17
    119 Norwich-New London-Westerly, CT-RI NECTA 58.8     16.0 6.7% S 279 160
    120 East Stroudsburg, PA 58.8       4.9 4.2% S 309 189
    121 Grand Junction, CO 58.6       2.9 3.6% S 134 13
    122 Dover, DE 58.3       4.8 1.4% S 195 73
    123 Fort Wayne, IN 58.0     35.2 1.2% M 120 (3)
    124 Sherman-Denison, TX 58.0       5.7 5.6% S 221 97
    125 Boulder, CO 57.9     17.6 0.0% M 91 (34)
    126 College Station-Bryan, TX 57.5       5.4 0.6% S 10 (116)
    127 Logan, UT-ID 57.3     11.4 0.6% S 178 51
    128 Muncie, IN 57.3       4.4 3.1% S 212 84
    129 Pittsfield, MA NECTA 57.0       4.0 5.3% S 143 14
    130 Des Moines-West Des Moines, IA 57.0     19.9 0.3% M 118 (12)
    131 Sioux Falls, SD 56.9     13.5 -1.7% M 90 (41)
    132 Minneapolis-St. Paul-Bloomington, MN-WI 56.8   194.0 0.8% L 130 (2)
    133 Pueblo, CO 56.5       4.5 -2.9% S 7 (126)
    134 Kansas City, KS 55.6     31.6 3.5% L 260 126
    135 Janesville-Beloit, WI 55.4       9.6 1.4% S 86 (49)
    136 Tyler, TX 55.4       6.4 9.7% S 283 147
    137 Winston-Salem, NC 55.3     32.2 2.9% M 108 (29)
    138 Vineland-Bridgeton, NJ 55.1       8.7 3.6% S 259 121
    139 San Angelo, TX 55.0       3.4 1.0% S 181 42
    140 Fond du Lac, WI 54.7     10.7 -1.5% S 62 (78)
    141 Green Bay, WI 54.7     29.4 0.7% M 190 49
    142 Sioux City, IA-NE-SD 54.6     15.1 -0.9% S 206 64
    143 Las Vegas-Henderson-Paradise, NV 54.6     21.8 2.0% L 191 48
    144 Morristown, TN 54.3     10.9 4.8% S 187 43
    145 Omaha-Council Bluffs, NE-IA 54.2     32.9 0.7% L 252 107
    146 Brownsville-Harlingen, TX 54.2       6.0 1.1% S 225 79
    147 Provo-Orem, UT 54.2     18.2 -1.6% M 72 (75)
    148 Sacramento–Roseville–Arden-Arcade, CA 54.1     36.2 1.5% L 147 (1)
    149 Niles-Benton Harbor, MI 54.1     13.1 0.3% S 51 (98)
    150 South Bend-Mishawaka, IN-MI 53.8     17.5 3.1% S 157 7
    151 Lincoln, NE 53.7     13.9 1.2% M 107 (44)
    152 Gainesville, FL 53.7       4.5 5.5% S 330 178
    153 Gettysburg, PA 53.5       6.9 1.5% S 75 (78)
    154 Pensacola-Ferry Pass-Brent, FL 53.2       6.1 1.1% M 80 (74)
    155 Oklahoma City, OK 53.1     36.9 -3.7% L 68 (87)
    156 Phoenix-Mesa-Scottsdale, AZ 53.1   121.1 2.0% L 244 88
    157 San Antonio-New Braunfels, TX 53.1     47.1 0.5% L 266 109
    158 Dalton, GA 52.7     23.7 4.1% S 115 (43)
    159 Bloomington, IN 52.6       8.7 0.8% S 296 137
    160 Sheboygan, WI 52.5     20.4 0.0% S 92 (68)
    161 Lake Havasu City-Kingman, AZ 52.4       3.0 3.5% S 219 58
    162 Kankakee, IL 52.3       5.6 -4.0% S 63 (99)
    163 Albany, OR 52.3       7.2 1.4% S 176 13
    164 Wilmington, DE-MD-NJ Metro Div 52.3     19.6 3.3% M 328 164
    165 Columbus, OH 52.2     71.6 0.7% L 218 53
    166 Racine, WI 51.8     18.6 -2.3% S 149 (17)
    167 Olympia-Tumwater, WA 51.6       3.2 -4.9% S 111 (56)
    168 Dayton, OH 51.6     40.5 2.4% M 136 (32)
    169 Lewiston-Auburn, ME NECTA 51.5       5.3 1.3% S 161 (8)
    170 Jackson, TN 51.3     10.1 3.1% S 239 69
    171 Allentown-Bethlehem-Easton, PA-NJ 51.3     36.4 1.7% M 213 42
    172 Miami-Miami Beach-Kendall, FL Metro Div 51.3     39.1 1.9% L 156 (16)
    173 Knoxville, TN 51.2     36.4 2.9% M 198 25
    174 Monroe, MI 51.1       5.5 1.2% S 24 (150)
    175 Harrisburg-Carlisle, PA 50.7     21.3 -0.5% M 123 (52)
    176 Rome, GA 50.6       6.1 4.0% S 265 89
    177 Flint, MI 50.3     12.0 -1.9% S 42 (135)
    178 Canton-Massillon, OH 50.2     27.8 -2.0% M 95 (83)
    179 Salinas, CA 50.1       5.5 2.5% S 325 146
    180 Lexington-Fayette, KY 50.0     30.9 0.2% M 172 (8)
    181 Charlottesville, VA 49.9       3.9 -0.8% S 162 (19)
    182 Chambersburg-Waynesboro, PA 49.7       9.4 -4.1% S 34 (148)
    183 Eugene, OR 49.7     13.3 2.6% M 129 (54)
    184 Rocky Mount, NC 49.7     11.2 4.0% S 323 139
    185 Fargo, ND-MN 49.5       9.9 -3.9% S 109 (76)
    186 Chattanooga, TN-GA 49.3     31.1 1.2% M 186 0
    187 Altoona, PA 49.3       7.7 1.3% S 284 97
    188 Elgin, IL Metro Div 49.2     35.3 1.1% M 204 16
    189 Milwaukee-Waukesha-West Allis, WI 49.0   121.0 0.4% L 200 11
    190 Kahului-Wailuku-Lahaina, HI 48.8       1.2 0.0% S 76 (114)
    191 Ann Arbor, MI 48.7     14.9 4.2% M 253 62
    192 McAllen-Edinburg-Mission, TX 48.1       6.6 2.6% M 313 121
    193 Greensboro-High Point, NC 48.0     54.6 1.5% M 209 16
    194 Yuba City, CA 47.4       2.1 0.0% S 236 42
    195 Lowell-Billerica-Chelmsford, MA-NH NECTA Division 47.4     22.6 0.3% S 241 46
    196 Clarksville, TN-KY 47.3     10.4 0.0% S 154 (42)
    197 Houston-The Woodlands-Sugar Land, TX 47.3   238.0 -8.8% L 87 (110)
    198 Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Div 47.1     36.1 3.6% L 334 136
    199 Bakersfield, CA 47.0     13.8 -3.9% M 41 (158)
    200 Danville, IL 46.7       5.1 -2.5% S 88 (112)
    201 Burlington, NC 46.6       9.0 1.5% S 165 (36)
    202 Fort Worth-Arlington, TX Metro Div 46.6     94.5 -3.2% L 144 (58)
    203 Pocatello, ID 46.5       1.9 18.8% S 372 169
    204 Owensboro, KY 46.3       8.4 0.0% S 194 (10)
    205 Cedar Rapids, IA 46.2     20.3 0.2% S 276 71
    206 Mansfield, OH 46.1       9.7 2.1% S 184 (22)
    207 Silver Spring-Frederick-Rockville, MD Metro Div 46.0     17.1 0.8% L 268 61
    208 Modesto, CA 45.7     19.9 -0.5% M 341 133
    209 Gary, IN Metro Div 45.6     36.2 -2.0% M 127 (82)
    210 Springfield, OH 45.6       6.7 -0.5% S 124 (86)
    211 Bismarck, ND 45.3       2.0 -1.7% S 112 (99)
    212 Roanoke, VA 45.3     16.6 1.8% M 188 (24)
    213 Charleston, WV 45.3       3.5 0.0% S 261 48
    214 Austin-Round Rock, TX 45.2     57.1 -0.3% L 193 (21)
    215 Urban Honolulu, HI 44.8     11.0 -1.8% L 232 17
    216 Yuma, AZ 44.8       2.2 -1.5% S 104 (112)
    217 Portland-South Portland, ME NECTA 44.6     12.6 2.2% M 319 102
    218 Oshkosh-Neenah, WI 44.6     22.6 2.6% S 352 134
    219 Odessa, TX 44.4       4.8 -19.9% S 18 (201)
    220 Indianapolis-Carmel-Anderson, IN 44.1     89.8 -0.1% L 150 (70)
    221 Evansville, IN-KY 44.0     22.6 -0.7% M 121 (100)
    222 Erie, PA 43.9     22.0 -1.6% S 185 (37)
    223 Elmira, NY 43.7       5.3 1.9% S 354 131
    224 Hickory-Lenoir-Morganton, NC 43.1     39.7 0.5% S 164 (60)
    225 Camden, NJ Metro Div 42.9     36.6 4.0% L 299 74
    226 Tampa-St. Petersburg-Clearwater, FL 42.8     62.0 1.1% L 196 (30)
    227 Utica-Rome, NY 42.7     11.3 2.1% S 282 55
    228 Longview, WA 42.7       6.4 -1.5% S 110 (118)
    229 Springfield, MO 42.5     14.3 -4.5% M 48 (181)
    230 Eau Claire, WI 42.3     10.4 -0.6% S 229 (1)
    231 Akron, OH 42.3     40.3 0.0% M 231 0
    232 Tulsa, OK 41.9     47.4 -9.7% M 84 (148)
    233 Hattiesburg, MS 41.6       4.1 0.8% S 345 112
    234 Huntsville, AL 41.4     23.6 1.3% M 292 58
    235 Hagerstown-Martinsburg, MD-WV 41.3       7.9 3.5% S 332 97
    236 Little Rock-North Little Rock-Conway, AR 41.1     20.4 0.5% M 217 (19)
    237 Decatur, AL 41.0     12.0 0.6% S 287 50
    238 Tacoma-Lakewood, WA Metro Div 41.0     17.0 -0.2% M 199 (39)
    239 Spokane-Spokane Valley, WA 40.6     16.6 -1.8% M 160 (79)
    240 Cheyenne, WY 40.5       1.4 2.5% S 275 35
    241 Northern Virginia, VA 40.3     24.4 2.2% L 263 22
    242 Champaign-Urbana, IL 40.3       8.2 0.0% S 256 14
    243 New York City, NY 40.0     78.9 2.2% L 317 74
    244 San Francisco-Redwood City-South San Fran, CA Metro Div 39.9     35.5 -1.7% L 183 (61)
    245 Lafayette, LA 39.8     16.7 -16.2% M 49 (196)
    246 Lancaster, PA 39.7     36.3 0.8% M 255 9
    247 Michigan City-La Porte, IN 39.6       7.7 0.4% S 227 (20)
    248 Anniston-Oxford-Jacksonville, AL 39.4       5.9 0.0% S 240 (8)
    249 New Bedford, MA NECTA 39.2       7.9 0.4% S 251 2
    250 Lubbock, TX 39.1       4.9 -2.0% S 243 (7)
    251 Kingsport-Bristol-Bristol, TN-VA 39.1     21.5 -0.2% S 226 (25)
    252 Providence-Warwick, RI-MA NECTA 39.1     52.5 1.5% L 192 (60)
    253 Tucson, AZ 38.9     23.0 2.8% M 337 84
    254 Huntington-Ashland, WV-KY-OH 38.8     11.0 -1.8% S 152 (102)
    255 Ithaca, NY 38.8       3.4 -1.9% S 100 (155)
    256 Augusta-Richmond County, GA-SC 38.8     20.5 0.7% M 270 14
    257 Middlesex-Monmouth-Ocean, NJ 38.8     44.3 0.8% L 246 (11)
    258 Wichita, KS 38.3     52.5 0.3% M 308 50
    259 Redding, CA 38.2       2.3 0.0% S 148 (111)
    260 Memphis, TN-MS-AR 38.1     44.9 0.2% L 274 14
    261 Decatur, IL 37.9     10.1 -1.3% S 315 54
    262 Lawrence-Methuen Town-Salem, MA-NH NECTA Division 37.9       9.6 0.0% S 273 11
    263 Cleveland-Elyria, OH 37.8   123.9 -1.0% L 230 (33)
    264 Anchorage, AK 37.8       2.0 -10.3% M 77 (187)
    265 Anaheim-Santa Ana-Irvine, CA Metro Div 37.6   156.3 -0.5% L 207 (58)
    266 Sumter, SC 37.6       6.5 -2.0% S 105 (161)
    267 St. Cloud, MN 37.6     14.9 -2.4% S 171 (96)
    268 Worcester, MA-CT NECTA 37.3     27.6 0.7% M 290 22
    269 Davenport-Moline-Rock Island, IA-IL 36.9     23.4 -2.4% M 208 (61)
    270 Gulfport-Biloxi-Pascagoula, MS 36.8     19.0 -1.7% M 280 10
    271 Amarillo, TX 36.6     12.8 -2.3% S 294 23
    272 Hartford-West Hartford-East Hartford, CT NECTA 36.3     55.5 0.3% L 324 52
    273 St. Louis, MO-IL 36.2   112.3 -0.9% L 179 (94)
    274 State College, PA 36.2       4.0 -1.6% S 295 21
    275 Glens Falls, NY 36.2       6.0 0.6% S 329 54
    276 Dallas-Plano-Irving, TX Metro Div 36.1   166.2 -0.2% L 269 (7)
    277 Birmingham-Hoover, AL 36.1     37.3 -4.0% L 211 (66)
    278 Buffalo-Cheektowaga-Niagara Falls, NY 36.0     51.8 -0.6% L 215 (63)
    279 Joplin, MO 35.9     13.0 -0.3% S 285 6
    280 La Crosse-Onalaska, WI-MN 35.7       8.4 -1.6% S 245 (35)
    281 Killeen-Temple, TX 35.6       7.3 -1.8% S 216 (65)
    282 York-Hanover, PA 34.6     31.2 0.5% M 326 44
    283 Brockton-Bridgewater-Easton, MA NECTA Division 34.2       5.5 0.0% S 228 (55)
    284 Nassau County-Suffolk County, NY Metro Div 33.8     72.1 0.8% L 322 38
    285 Syracuse, NY 33.7     24.9 1.9% M 291 6
    286 Virginia Beach-Norfolk-Newport News, VA-NC 33.4     52.6 -2.9% L 247 (39)
    287 Boston-Cambridge-Newton, MA NECTA Division 33.4     81.7 0.0% L 288 1
    288 Chico, CA 33.4       3.4 -12.1% S 102 (186)
    289 Waterloo-Cedar Falls, IA 33.3     16.0 -5.1% S 224 (65)
    290 Calvert-Charles-Prince George’s, MD 32.6       8.3 2.1% M 357 67
    291 Rapid City, SD 32.6       2.8 -6.7% S 177 (114)
    292 Lebanon, PA 32.3       8.6 -1.1% S 311 19
    293 Myrtle Beach-Conway-North Myrtle Beach, SC-NC 32.2       4.4 -0.8% M 122 (171)
    294 Oxnard-Thousand Oaks-Ventura, CA 32.2     30.3 -0.5% M 271 (23)
    295 Montgomery Co-Bucks Co-Chester Co, PA Metro Div 31.8     90.1 -0.6% L 242 (53)
    296 Rochester, MN 31.8     10.8 0.3% S 321 25
    297 Chicago-Naperville-Arlington Heights, IL Metro Div 31.5   281.5 -0.2% L 305 8
    298 Johnson City, TN 31.2       7.6 0.9% S 249 (49)
    299 Leominster-Gardner, MA NECTA 31.1       6.3 0.5% S 318 19
    300 Terre Haute, IN 31.0     10.8 -2.4% S 306 6
    301 Salisbury, MD-DE 31.0     13.9 -2.3% M 248 (53)
    302 Lynn-Saugus-Marblehead, MA NECTA Division 30.9       4.6 0.0% S 356 54
    303 Greenville, NC 30.6       6.1 -3.2% S 142 (161)
    304 Fairbanks, AK 30.6       0.6 -5.6% S 358 54
    305 Lynchburg, VA 30.2     14.5 0.9% S 277 (28)
    306 Albany, GA 29.5       4.3 0.0% S 298 (8)
    307 Scranton–Wilkes-Barre–Hazleton, PA 29.3     27.1 -0.2% M 272 (35)
    308 Texarkana, TX-AR 29.1       5.3 -0.6% S 278 (30)
    309 Colorado Springs, CO 28.8     11.7 -1.4% M 233 (76)
    310 Corpus Christi, TX 28.6       9.2 -3.1% M 220 (90)
    311 Waterbury, CT NECTA 28.5       7.6 0.0% S 340 29
    312 Nashua, NH-MA NECTA Division 28.3     19.6 -0.3% S 314 2
    313 Johnstown, PA 28.2       3.9 -0.8% S 350 37
    314 Rochester, NY 28.1     58.9 0.3% L 312 (2)
    315 El Paso, TX 28.0     17.0 0.2% M 310 (5)
    316 Carson City, NV 28.0       2.6 -3.7% S 289 (27)
    317 Bergen-Hudson-Passaic, NJ 27.8     58.3 0.6% L 327 10
    318 Pittsburgh, PA 27.2     85.6 -3.2% L 234 (84)
    319 Atlantic City-Hammonton, NJ 27.1       2.1 0.0% S 338 19
    320 Richmond, VA 27.1     30.7 -0.4% L 267 (53)
    321 Kingston, NY 27.1       3.4 0.0% S 197 (124)
    322 Bangor, ME NECTA 27.0       2.4 0.0% S 366 44
    323 Victoria, TX 26.5       2.5 -5.1% S 297 (26)
    324 Shreveport-Bossier City, LA 26.2     10.8 -1.5% M 262 (62)
    325 Springfield, IL 26.2       2.9 -4.3% S 307 (18)
    326 Burlington-South Burlington, VT NECTA 25.7     13.2 -2.5% S 346 20
    327 New Orleans-Metairie, LA 25.6     30.5 -0.7% L 361 34
    328 Lawton, OK 24.9       3.5 -3.6% S 238 (90)
    329 Columbus, GA-AL 24.6     10.2 -5.8% S 159 (170)
    330 Wilmington, NC 24.1       5.7 -1.7% S 359 29
    331 Fayetteville-Springdale-Rogers, AR-MO 23.8     26.5 -2.8% M 237 (94)
    332 Sierra Vista-Douglas, AZ 23.5       0.5 0.0% S 343 11
    333 Casper, WY 23.4       1.6 -11.1% S 201 (132)
    334 Framingham, MA NECTA Division 23.2     24.6 -3.9% M 316 (18)
    335 Williamsport, PA 22.9       7.9 0.4% S 331 (4)
    336 Youngstown-Warren-Boardman, OH-PA 22.6     29.7 -4.0% M 133 (203)
    337 Los Angeles-Long Beach-Glendale, CA Metro Div 22.6   356.1 -1.7% L 300 (37)
    338 Monroe, LA 22.5       6.6 -3.0% S 222 (116)
    339 Dutchess County-Putnam County, NY Metro Div 22.4     10.7 1.3% S 365 26
    340 Sebastian-Vero Beach, FL 21.8       1.8 -16.9% S 3 (337)
    341 Newark, NJ-PA Metro Div 21.6     75.9 0.0% L 320 (21)
    342 Springfield, MA-CT NECTA 21.3     28.9 -0.9% M 351 9
    343 Taunton-Middleborough-Norton, MA NECTA Division 21.3       5.8 -5.5% S 205 (138)
    344 Duluth, MN-WI 21.0       6.7 -9.9% S 286 (58)
    345 Orange-Rockland-Westchester, NY 20.2     29.5 -2.5% L 355 10
    346 Tallahassee, FL 20.0       3.0 -1.1% M 362 16
    347 Peoria, IL 20.0     24.2 -9.1% M 293 (54)
    348 Durham-Chapel Hill, NC 20.0     28.8 -3.9% M 258 (90)
    349 Trenton, NJ 19.6       7.8 -3.7% M 93 (256)
    350 Bloomsburg-Berwick, PA 19.4       5.4 -4.7% S 302 (48)
    351 Fort Smith, AR-OK 19.1     17.7 -2.7% S 235 (116)
    352 New Haven, CT NECTA 18.8     24.1 -1.8% M 344 (8)
    353 Bridgeport-Stamford-Norwalk, CT NECTA 18.2     31.2 -1.9% M 349 (4)
    354 Weirton-Steubenville, WV-OH 17.9       5.4 0.0% S 348 (6)
    355 Albuquerque, NM 17.3     16.1 -1.4% M 347 (8)
    356 Wichita Falls, TX 17.1       5.0 -4.5% S 339 (17)
    357 Longview, TX 17.0       9.6 -10.9% S 180 (177)
    358 Philadelphia City, PA 16.1     20.9 -2.3% L 336 (22)
    359 Wheeling, WV-OH 15.8       3.0 -2.2% S 363 4
    360 Manchester, NH NECTA 15.7       7.5 -3.9% S 301 (59)
    361 Corvallis, OR 15.5       2.9 -3.3% S 333 (28)
    362 Delaware County, PA 15.1     14.2 -5.1% M 353 (9)
    363 Bloomington, IL 14.8       4.3 -10.4% S 254 (109)
    364 Binghamton, NY 13.0     11.4 -1.2% S 371 7
    365 Fayetteville, NC 12.3       7.7 -2.5% S 367 2
    366 Crestview-Fort Walton Beach-Destin, FL 12.0       3.5 0.0% S 369 3
    367 Dothan, AL 11.0       4.3 -3.0% S 368 1
    368 Peabody-Salem-Beverly, MA NECTA Division 10.3       7.1 -8.2% S 281 (87)
    369 Baltimore City, MD 9.3     10.7 -5.0% M 335 (34)
    370 Laredo, TX 8.2       0.7 -8.7% S 364 (6)
    371 Parkersburg-Vienna, WV 8.0       2.7 -9.0% S 360 (11)
    372 El Centro, CA 7.6       1.0 -3.2% S 373 1
    373 Las Cruces, NM 7.0       2.3 -6.7% S 370 (3)
  • The Cruel Information Economy: The U.S. Cities Winning In This Critical Sector

    Arguably the most critical industry in the new economy, information is also often the cruelest. It is the ultimate disruptor of jobs and growth, blessing some regional economies but leaving most in the dust. Overall, the sector accounts for almost 3 million jobs, but it has only added a paltry net 70,000 jobs over the last five years. The overall numbers mask a loss of about 200,000 jobs in newspapers, book publishing, broadcasting and telecommunications, while employment in software publishing, data processing and other tech-driven information jobs has expanded by a modest 240,000 jobs (manufacturing, by comparison, has produced three times that amount in the same period).

    Our rankings for the best cities for information jobs are perhaps the most skewed of any occupational category. With more traditional industries like business services, hospitality and construction, employment tends to rise across all the country’s metropolitan areas, if not at the same pace everywhere. In the case of the information sector, the vast majority of the metropolitan statistical areas for which we have data have lost information jobs since 2010 (204 out of 336 MSAs).

    Yet there are clear winners in the information sweepstakes, with a handful of metro areas that have seized the initiative in the field and run with it.

    Information, particularly its media segment, has shown a strong proclivity to concentrate in a handful of places. Whether it’s a matter of where venture funds are concentrated, or that cross-fertilization and creative flair are driving this, it’s hard to say. But in the emerging digital economy, notes a recent Neiman study, clusters industries in the places where creators of content live. For the most part, as of yet, blue collar metro areas need not apply.

    Info-Age Winners

    Our rankings are based on employment growth in the sector over the short-, medium- and long-term, going back to 2005, and factor in momentum — whether growth is slowing or accelerating. (For a detailed description of our methodology, click here.)

    At the top of our list of the largest metropolitan statistical areas, not surprisingly, is San Francisco-Redwood City-South San Francisco. Since 2010, led by the growth of such companies as TwitterFacebook and Salesforce.com, the metro area’s information employment has expanded 62% to 61,000 jobs. The pace of growth is slowing, to 6.85% last year, but still very healthy.

    Right behind San Francisco is the larger information-based economy of its neighbor Silicon Valley. The San Jose metro area, home to such information economy titans as Google and Netflix, has 76,000 information jobs, up a none-too-shabby 57.4% since 2010; last year its 9.3% job growth rate outstripped even San Francisco. Together these two areas have emerged as the superstars of the information age, and no other large metro is really close in terms of growth.

    Yet the information boom has other epicenters that have emerged over the past decade. Among the large metro areas, Seattle-Bellevue-Everett ranks seventh on our list. It boasts 98,000 information jobs, third most in the country behind much larger New York and Los Angeles. Since 2010 the Puget Sound powerhouse, home to Microsoft, Amazon and a host of start-ups, has seen its information employment expand a healthy 15.3%.

    Seattle’s little brother, Portland-Vancouver-Hillsboro, Ore., ranks eighth. Since 2010 Portland’s information employment has grown over 12% to 25,500 workers.

    Among the very largest of our metro areas, New York has managed fairly impressive growth in its media-dominated information sector, with employment expanding 12.1% since 2010 to 191,000 workers, second in total numbers, and with no sign of growth flagging.

    It’s doing much better than the Big Apple’s two traditional rivals, Chicago and Los Angeles. The Windy City and its environs have expanded information employment by 5% since 2010 to with 73,100 jobs, placing it 19th. Los Angeles follows in 20th place. L.A. is home to the largest information sector in the U.S., with 203,800 workers, but despite its well-established base, much of it in entertainment, it has managed only 3.5% growth since 2010.

    Will Information Jobs Head To The Sun Belt?

    The growth of information employment in large, dense and expensive urban areas, notably New York and San Francisco, has been widely celebrated by advocates of traditional cities. Yet this same pattern also developed in the last tech bubble in the late 1990s, and then reversed as companies collapsed, and many of the survivors moved operations to less expensive regions.

    Could we see a repeat now? High housing costs are putting homeownership out of reach even for fairly affluent families in San Francisco and New York. Already some tech workers are relocating to lower-cost areas. Many more may do so in the future, suggests a recent Beacon Economics study, or resign themselves to being permanent renters.

    This year’s list may show some of the places both tech and information jobs may be headed in the next few years. The clear rising star is Phoenix, which ranks third. The desert city’s information workforce has expanded by 39.29% since 2010, the third highest increase of any metropolitan area, just behind the Bay Area twins. In recent years a growing list of Bay Area firms have expanded into the Valley of the Sun, including DoubleDutch, Gainsight, Uber, Prosper Marketplace, Yelp, Weebly, BoomTown and Shutterfly. Silicon Valley Bank set up shop there five years ago as well.

    Other lower-cost locales are also doing well on our big metro list, including No. 4 Raleigh, N.C., No. 5 Austin-Round Rock, Texas,  and No. 10 Ft. Lauderdale, Fla. All have enjoyed double-digit information job growth since 2010.

    Although information jobs tend to concentrate in bigger metros, there are several smaller metro areas that appear to be on the cusp of becoming key hubs for the industry. The fastest growth over the past five years has been in Provo-Orem, Utah, where information employment has expanded 43.8% to 11,400 jobs. Other fast-rising smaller stars include Flagstaff, Ariz.,  Durham-Chapel Hill, N.C.,  Madison, Wisc., Bend-Redmond, Ore., and Portsmouth, N.H. All these metro areas have enjoyed information job growth of 20% or more since 2010, albeit off small bases.

    The Likely Future of Information Growth

    Clearly information jobs cluster, although they do so in varied kinds of environments. To be sure, the biggest players likely will continue to be in the largest cities, notably in the Bay Area, New York, Seattle and, as long as Hollywood stays strong, Southern California as well. But the high prices in these areas seem to be leading to growth in a host of second-tier cities spread from Florida to Arizona, where tech workers can enjoy a combination of lower home costs and at least some urban amenities.

    Similarly, while most smaller cities may never become information hubs, some clearly will. For the most part these will be either university towns such as Chapel Hill (home to the University of North Carolina), Provo-Orem (Brigham Young) and Madison (University of Wisconsin). Other will be located in amenity-rich, scenic areas like Flagstaff and Bend, Ore., where outdoor-oriented tech workers may find a way to work remotely from the big city hubs.

    But under any foreseeable future, it’s unlikely that information job growth will be strong enough to help in a measurable way the fortunes of most communities. Traditional advantages in terms of taxes, location on rivers or the ocean, or access to cheap energy is simply not enough to lure these jobs to a wide array of locales. Information may be a stellar force in some areas, but it has very picky tastes that preclude it from being as transformative in job creation as it is in our daily lives.

    This piece first appeared at Forbes.

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

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

  • All Cities Information Jobs – 2016 Best Cities Rankings

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

    2016 MSA Info Ranking – Overall  Area 2016 Weighted INDEX 2015 Info Emplymt Total Info Emplymt Growth Rate 2014-2015 2015 MSA Info Ranking – Overall  2016  Change from 2015 –
    All MSAs
    1 Provo-Orem, UT 97.8    11.4 8.25% 8 7
    2 San Francisco-Redwood City-South San Francisco, CA Metro Div 97.5    60.9 6.85% 3 1
    3 San Jose-Sunnyvale-Santa Clara, CA 96.5    76.8 9.30% 2 (1)
    4 Flagstaff, AZ 96.5      0.5 25.00% 82 78
    5 Durham-Chapel Hill, NC 94.8      4.5 7.09% 10 5
    6 Madison, WI 94.1    16.5 8.10% 11 5
    7 Bend-Redmond, OR 92.7      1.8 12.77% 32 25
    8 Phoenix-Mesa-Scottsdale, AZ 90.6    38.2 7.51% 22 14
    9 Raleigh, NC 90.3    20.0 4.34% 15 6
    10 Portsmouth, NH-ME NECTA 90.2      2.6 8.33% 30 20
    11 Austin-Round Rock, TX 89.5    27.3 3.41% 9 (2)
    12 Charlotte-Concord-Gastonia, NC-SC 87.9    26.5 4.19% 17 5
    13 Seattle-Bellevue-Everett, WA Metro Div 86.5    98.0 6.44% 29 16
    14 Portland-Vancouver-Hillsboro, OR-WA 86.5    25.5 7.15% 47 33
    15 Bakersfield, CA 85.6      3.0 23.61% 230 215
    16 Wilmington, NC 84.6      3.0 4.60% 21 5
    17 Ann Arbor, MI 84.6      5.2 2.65% 12 (5)
    18 Akron, OH 82.8      4.4 8.20% 124 106
    19 Lawrence-Methuen Town-Salem, MA-NH NECTA Division 82.6      1.7 2.00% 45 26
    20 Bridgeport-Stamford-Norwalk, CT NECTA 82.5    12.2 1.66% 48 28
    21 Spokane-Spokane Valley, WA 82.5      3.3 12.36% 80 59
    22 Fort Collins, CO 82.2      2.8 3.70% 70 48
    23 Racine, WI 81.8      0.5 15.38% 196 173
    24 McAllen-Edinburg-Mission, TX 81.7      2.4 2.90% 37 13
    25 Savannah, GA 81.6      1.9 -4.92% 4 (21)
    26 Rochester, MN 81.0      2.0 0.00% 5 (21)
    27 New York City, NY 80.1  191.1 1.63% 25 (2)
    28 Delaware County, PA 78.9      2.9 6.17% 197 169
    29 Jackson, MS 78.9      5.5 -4.62% 18 (11)
    30 Trenton, NJ 78.8      5.6 17.36% 243 213
    31 Haverhill-Newburyport-Amesbury Town, MA-NH NECTA Division 78.7      0.4 0.00% 46 15
    32 Clarksville, TN-KY 78.0      1.2 6.06% 49 17
    33 Cheyenne, WY 77.7      1.2 0.00% 19 (14)
    34 Lowell-Billerica-Chelmsford, MA-NH NECTA Division 77.5      7.0 1.94% 125 91
    35 San Luis Obispo-Paso Robles-Arroyo Grande, CA 77.0      1.5 0.00% 51 16
    36 Flint, MI 76.9      4.1 0.81% 33 (3)
    37 St. George, UT 76.7      0.8 4.55% 135 98
    38 Punta Gorda, FL 76.6      0.5 7.69% 227 189
    39 Baton Rouge, LA 76.4      6.2 -7.96% 7 (32)
    40 Myrtle Beach-Conway-North Myrtle Beach, SC-NC 76.2      2.5 2.78% 97 57
    41 Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metro Div 76.1    19.4 2.47% 53 12
    42 Atlanta-Sandy Springs-Roswell, GA 75.9    87.3 -0.68% 41 (1)
    43 Tuscaloosa, AL 75.6      0.9 8.00% 214 171
    44 Fond du Lac, WI 75.6      1.0 0.00% 20 (24)
    45 Janesville-Beloit, WI 75.5      1.6 -7.69% 1 (44)
    46 Manchester, NH NECTA 75.5      3.3 10.00% 212 166
    47 Las Vegas-Henderson-Paradise, NV 74.9    10.6 -0.31% 38 (9)
    48 Victoria, TX 74.6      0.5 25.00% 26 (22)
    49 Lansing-East Lansing, MI 74.3      3.0 1.12% 136 87
    50 Boston-Cambridge-Newton, MA NECTA Division 74.2    56.8 1.43% 52 2
    51 Greenville-Anderson-Mauldin, SC 74.1      7.4 1.36% 105 54
    52 Nashville-Davidson–Murfreesboro–Franklin, TN 73.9    21.2 3.41% 71 19
    53 Bay City, MI 73.8      0.5 0.00% 57 4
    54 Charleston-North Charleston, SC 72.9      5.3 -0.62% 44 (10)
    55 Lincoln, NE 72.5      2.6 1.30% 35 (20)
    56 Denver-Aurora-Lakewood, CO 72.4    46.2 2.59% 115 59
    57 Charlottesville, VA 72.4      2.2 6.35% 150 93
    58 Hartford-West Hartford-East Hartford, CT NECTA 72.3    11.9 2.59% 90 32
    59 North Port-Sarasota-Bradenton, FL 71.7      3.6 4.85% 101 42
    60 Fayetteville-Springdale-Rogers, AR-MO 71.6      2.0 5.17% 173 113
    61 College Station-Bryan, TX 71.4      1.3 0.00% 14 (47)
    62 Abilene, TX 71.1      1.2 0.00% 42 (20)
    63 Tyler, TX 70.5      2.3 0.00% 54 (9)
    64 El Paso, TX 70.4      5.9 -1.12% 39 (25)
    65 San Antonio-New Braunfels, TX 70.2    21.3 -0.62% 27 (38)
    66 West Palm Beach-Boca Raton-Delray Beach, FL Metro Div 70.2    10.5 0.32% 58 (8)
    67 Chicago-Naperville-Arlington Heights, IL Metro Div 70.0    73.1 2.67% 108 41
    68 Albuquerque, NM 70.0      8.4 5.91% 226 158
    69 Los Angeles-Long Beach-Glendale, CA Metro Div 68.9  203.8 2.79% 102 33
    70 Tacoma-Lakewood, WA Metro Div 68.2      3.0 7.14% 75 5
    71 Baltimore City, MD 67.9      4.5 5.51% 283 212
    72 Salt Lake City, UT 67.3    18.1 1.31% 63 (9)
    73 Chattanooga, TN-GA 67.2      3.1 5.68% 143 70
    74 Pueblo, CO 67.1      0.7 10.53% 153 79
    75 Omaha-Council Bluffs, NE-IA 67.0    11.6 2.06% 133 58
    76 Warren-Troy-Farmington Hills, MI Metro Div 66.8    20.1 -2.11% 36 (40)
    77 Santa Maria-Santa Barbara, CA 66.7      4.3 -3.73% 23 (54)
    78 Logan, UT-ID 66.6      0.8 0.00% 13 (65)
    79 Peabody-Salem-Beverly, MA NECTA Division 66.6      1.3 0.00% 67 (12)
    80 Philadelphia City, PA 66.3    11.9 2.29% 148 68
    81 Fresno, CA 65.8      3.9 -1.69% 89 8
    82 Auburn-Opelika, AL 65.7      0.5 0.00% 81 (1)
    83 Anaheim-Santa Ana-Irvine, CA Metro Div 65.4    25.7 3.62% 228 145
    84 Dallas-Plano-Irving, TX Metro Div 64.8    68.8 0.88% 76 (8)
    85 Burlington, NC 64.7      0.5 0.00% 78 (7)
    86 Cleveland, TN 64.5      0.3 0.00% 77 (9)
    87 Prescott, AZ 64.4      0.6 0.00% 109 22
    88 Dutchess County-Putnam County, NY Metro Div 63.9      2.0 7.02% 232 144
    89 Visalia-Porterville, CA 63.8      1.0 0.00% 169 80
    90 Springfield, MO 63.8      4.2 -4.55% 24 (66)
    91 Allentown-Bethlehem-Easton, PA-NJ 63.7      6.1 1.10% 106 15
    92 Watertown-Fort Drum, NY 63.2      0.7 0.00% 107 15
    93 San Rafael, CA Metro Div 62.8      2.6 2.63% 144 51
    94 Bergen-Hudson-Passaic, NJ 62.7    19.6 1.55% 73 (21)
    95 Santa Rosa, CA 62.4      2.7 0.00% 116 21
    96 Hagerstown-Martinsburg, MD-WV 62.4      2.4 1.41% 199 103
    97 Cincinnati, OH-KY-IN 62.2    13.8 1.72% 155 58
    98 Lewiston, ID-WA 62.2      0.4 0.00% 88 (10)
    99 Cape Coral-Fort Myers, FL 62.0      3.2 1.06% 130 31
    100 Boise City, ID 61.9      4.5 -3.57% 99 (1)
    101 Morristown, TN 61.6      0.4 33.33% 336 235
    102 Worcester, MA-CT NECTA 60.8      3.5 0.95% 179 77
    103 Nashua, NH-MA NECTA Division 60.7      1.9 0.00% 189 86
    104 Oakland-Hayward-Berkeley, CA Metro Div 60.6    22.8 4.92% 237 133
    105 Orlando-Kissimmee-Sanford, FL 60.3    23.7 -2.06% 56 (49)
    106 Huntsville, AL 59.4      2.6 -3.70% 40 (66)
    107 Ithaca, NY 59.4      0.5 0.00% 297 190
    108 Redding, CA 59.4      0.7 0.00% 91 (17)
    109 Sioux Falls, SD 59.1      2.7 2.53% 120 11
    110 Pocatello, ID 59.1      0.4 0.00% 65 (45)
    111 Grants Pass, OR 59.1      0.3 0.00% 100 (11)
    112 Indianapolis-Carmel-Anderson, IN 58.9    16.0 -3.42% 60 (52)
    113 Knoxville, TN 58.7      5.7 -1.16% 86 (27)
    114 Framingham, MA NECTA Division 58.6      5.4 3.18% 181 67
    115 Bloomington, IL 58.3      0.8 9.09% 323 208
    116 Bangor, ME NECTA 58.0      1.1 3.23% 123 7
    117 Tucson, AZ 57.8      4.7 4.48% 267 150
    118 Naples-Immokalee-Marco Island, FL 57.6      1.5 0.00% 156 38
    119 Hanford-Corcoran, CA 57.3      0.2 0.00% 127 8
    120 Miami-Miami Beach-Kendall, FL Metro Div 57.3    18.5 -1.59% 69 (51)
    121 Minneapolis-St. Paul-Bloomington, MN-WI 56.8    39.1 -0.34% 128 7
    122 Fairbanks, AK 56.6      0.5 0.00% 129 7
    123 Louisville/Jefferson County, KY-IN 56.5      9.1 -1.45% 84 (39)
    124 Gainesville, FL 56.4      1.5 2.27% 87 (37)
    125 Tampa-St. Petersburg-Clearwater, FL 56.0    25.8 0.78% 146 21
    126 Decatur, AL 55.8      0.3 0.00% 118 (8)
    127 Owensboro, KY 55.8      0.5 0.00% 300 173
    128 Tallahassee, FL 55.7      3.4 -9.01% 6 (122)
    129 Lancaster, PA 55.6      3.1 1.09% 215 86
    130 Beaumont-Port Arthur, TX 55.6      1.5 7.14% 180 50
    131 Greenville, NC 55.6      0.9 0.00% 164 33
    132 Lake Havasu City-Kingman, AZ 55.6      0.7 16.67% 327 195
    133 Columbia, SC 55.5      5.5 -1.20% 122 (11)
    134 Laredo, TX 55.2      0.6 0.00% 16 (118)
    135 Muncie, IN 55.0      0.3 0.00% 239 104
    136 Lawton, OK 55.0      0.5 0.00% 151 15
    137 Grand Forks, ND-MN 54.6      0.6 0.00% 170 33
    138 Montgomery, AL 54.4      2.2 0.00% 154 16
    139 Muskegon, MI 54.1      0.8 0.00% 92 (47)
    140 Burlington-South Burlington, VT NECTA 54.0      2.3 4.55% 161 21
    141 Brownsville-Harlingen, TX 54.0      1.2 0.00% 112 (29)
    142 Charleston, WV 53.8      1.8 0.00% 176 34
    143 Rapid City, SD 53.4      0.9 0.00% 43 (100)
    144 Gary, IN Metro Div 53.3      2.0 0.00% 167 23
    145 Kingsport-Bristol-Bristol, TN-VA 53.2      2.0 1.69% 194 49
    146 Taunton-Middleborough-Norton, MA NECTA Division 53.2      1.2 -5.13% 83 (63)
    147 Santa Fe, NM 52.9      0.9 8.33% 104 (43)
    148 Detroit-Dearborn-Livonia, MI Metro Div 52.5      7.5 2.75% 266 118
    149 Columbus, OH 52.1    16.8 -0.40% 158 9
    150 Reno, NV 51.6      2.0 3.39% 221 71
    151 Pittsburgh, PA 51.6    18.1 0.37% 182 31
    152 Middlesex-Monmouth-Ocean, NJ 51.5    17.2 -1.72% 139 (13)
    153 Rochester, NY 51.4      9.0 -1.82% 190 37
    154 Canton-Massillon, OH 51.4      1.7 0.00% 172 18
    155 Champaign-Urbana, IL 51.4      2.5 -8.54% 59 (96)
    156 St. Louis, MO-IL 51.3    27.9 -2.56% 94 (62)
    157 Reading, PA 51.2      1.3 5.56% 225 68
    158 Anchorage, AK 51.1      4.4 -1.48% 111 (47)
    159 Houston-The Woodlands-Sugar Land, TX 51.1    31.5 -1.66% 132 (27)
    160 Duluth, MN-WI 50.9      1.5 7.14% 273 113
    161 Northern Virginia, VA 50.8    40.8 -0.65% 160 (1)
    162 Olympia-Tumwater, WA 50.8      0.9 0.00% 187 25
    163 Madera, CA 50.8      0.4 0.00% 149 (14)
    164 Jacksonville, FL 50.7      9.2 0.36% 205 41
    165 Fargo, ND-MN 50.4      3.1 -1.06% 79 (86)
    166 Jackson, TN 50.3      0.6 0.00% 162 (4)
    167 Amarillo, TX 50.2      1.4 2.44% 213 46
    168 Ogden-Clearfield, UT 50.2      2.1 -1.56% 207 39
    169 Kankakee, IL 50.0      0.4 -7.14% 178 9
    170 Oshkosh-Neenah, WI 49.8      1.5 -4.26% 28 (142)
    171 Spartanburg, SC 49.7      1.0 -3.12% 74 (97)
    172 Youngstown-Warren-Boardman, OH-PA 49.7      2.0 5.26% 269 97
    173 Augusta-Richmond County, GA-SC 49.5      3.0 -6.32% 61 (112)
    174 Fort Smith, AR-OK 49.4      1.2 0.00% 245 71
    175 Bloomington, IN 49.4      1.2 -2.78% 31 (144)
    176 Texarkana, TX-AR 49.2      0.5 0.00% 145 (31)
    177 Saginaw, MI 48.9      1.3 -2.50% 175 (2)
    178 La Crosse-Onalaska, WI-MN 48.8      1.1 0.00% 166 (12)
    179 Kingston, NY 48.5      0.9 0.00% 285 106
    180 Providence-Warwick, RI-MA NECTA 48.1    10.0 1.01% 191 11
    181 Topeka, KS 48.1      1.5 2.27% 233 52
    182 Eau Claire, WI 48.0      0.9 0.00% 210 28
    183 Stockton-Lodi, CA 47.8      2.0 -1.61% 174 (9)
    184 Buffalo-Cheektowaga-Niagara Falls, NY 47.5      7.4 -1.78% 141 (43)
    185 Grand Rapids-Wyoming, MI 47.3      5.1 -3.75% 98 (87)
    186 Albany-Schenectady-Troy, NY 47.1      8.3 -0.40% 222 36
    187 Lakeland-Winter Haven, FL 46.5      1.6 2.13% 184 (3)
    188 Montgomery County-Bucks County-Chester County, PA Metro Div 46.5    20.9 1.13% 247 59
    189 St. Cloud, MN 46.4      1.6 -3.92% 256 67
    190 Corpus Christi, TX 46.3      2.0 1.69% 163 (27)
    191 Asheville, NC 46.3      1.8 -3.57% 96 (95)
    192 Sebastian-Vero Beach, FL 46.1      0.6 0.00% 152 (40)
    193 Altoona, PA 46.1      0.8 -7.41% 159 (34)
    194 Port St. Lucie, FL 45.9      1.3 0.00% 68 (126)
    195 San Diego-Carlsbad, CA 45.3    23.7 -1.39% 147 (48)
    196 Fayetteville, NC 45.3      1.4 0.00% 255 59
    197 Chico, CA 45.2      1.0 -9.09% 113 (84)
    198 Elmira, NY 44.8      0.4 0.00% 223 25
    199 Gulfport-Biloxi-Pascagoula, MS 44.7      1.6 0.00% 253 54
    200 Green Bay, WI 44.7      1.9 -5.00% 66 (134)
    201 Greensboro-High Point, NC 44.6      5.0 -2.61% 204 3
    202 Huntington-Ashland, WV-KY-OH 44.5      1.3 0.00% 218 16
    203 Boulder, CO 44.4      7.8 -2.89% 157 (46)
    204 Yuma, AZ 44.1      0.5 0.00% 229 25
    205 Bismarck, ND 44.1      0.9 0.00% 103 (102)
    206 Colorado Springs, CO 44.1      6.6 -1.98% 201 (5)
    207 Oxnard-Thousand Oaks-Ventura, CA 43.8      4.9 -5.13% 62 (145)
    208 Atlantic City-Hammonton, NJ 43.8      0.8 0.00% 328 120
    209 Casper, WY 43.6      0.4 0.00% 272 63
    210 Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Div 43.4    61.6 -2.07% 171 (39)
    211 Kahului-Wailuku-Lahaina, HI 43.4      0.6 0.00% 265 54
    212 Kalamazoo-Portage, MI 42.9      1.0 7.14% 317 105
    213 Silver Spring-Frederick-Rockville, MD Metro Div 42.8    14.0 -3.88% 186 (27)
    214 Lake County-Kenosha County, IL-WI Metro Div 42.2      3.7 1.85% 295 81
    215 Glens Falls, NY 42.2      0.9 0.00% 257 42
    216 Urban Honolulu, HI 42.1      7.2 -0.46% 193 (23)
    217 Camden, NJ Metro Div 42.0      7.0 -3.23% 185 (32)
    218 Memphis, TN-MS-AR 41.9      5.8 -2.81% 168 (50)
    219 Niles-Benton Harbor, MI 41.8      0.5 0.00% 234 15
    220 Fort Wayne, IN 41.5      2.9 0.00% 238 18
    221 Syracuse, NY 41.4      4.4 0.76% 260 39
    222 Kennewick-Richland, WA 41.1      0.8 -4.00% 200 (22)
    223 Las Cruces, NM 41.1      0.9 -3.70% 117 (106)
    224 Dothan, AL 40.8      0.7 -4.76% 177 (47)
    225 Decatur, IL 40.3      0.6 0.00% 280 55
    226 Riverside-San Bernardino-Ontario, CA 40.1    11.3 0.00% 278 52
    227 Cleveland-Elyria, OH 39.8    14.2 -1.62% 231 4
    228 Greeley, CO 39.7      0.7 5.00% 319 91
    229 Utica-Rome, NY 39.6      1.7 -1.96% 188 (41)
    230 Johnstown, PA 39.4      0.7 0.00% 271 41
    231 Springfield, IL 39.2      1.7 -1.92% 264 33
    232 Milwaukee-Waukesha-West Allis, WI 39.1    14.0 -3.67% 220 (12)
    233 Sacramento–Roseville–Arden-Arcade, CA 39.0    14.0 -0.71% 315 82
    234 Salem, OR 38.8      1.0 0.00% 291 57
    235 Lafayette, LA 38.8      2.7 1.23% 219 (16)
    236 Toledo, OH 38.7      3.0 0.00% 216 (20)
    237 Coeur d’Alene, ID 38.1      0.6 0.00% 318 81
    238 Dayton, OH 38.0      8.4 -0.79% 279 41
    239 Oklahoma City, OK 38.0      8.1 -0.41% 258 19
    240 Longview, TX 37.5      1.3 0.00% 211 (29)
    241 Virginia Beach-Norfolk-Newport News, VA-NC 37.4    10.7 -1.23% 259 18
    242 El Centro, CA 37.4      0.3 0.00% 294 52
    243 Johnson City, TN 37.3      1.5 -4.26% 202 (41)
    244 Mobile, AL 37.2      1.9 -5.00% 131 (113)
    245 Leominster-Gardner, MA NECTA 37.1      0.4 0.00% 235 (10)
    246 Davenport-Moline-Rock Island, IA-IL 37.1      2.3 -1.45% 246 0
    247 Peoria, IL 37.0      2.2 -1.49% 262 15
    248 Winston-Salem, NC 36.5      2.0 -6.25% 64 (184)
    249 New Orleans-Metairie, LA 36.4      6.4 -24.02% 121 (128)
    250 York-Hanover, PA 36.1      1.7 -1.96% 274 24
    251 Appleton, WI 36.0      1.5 0.00% 304 53
    252 Pensacola-Ferry Pass-Brent, FL 35.7      2.3 1.47% 313 61
    253 Harrisburg-Carlisle, PA 35.7      4.4 -0.75% 275 22
    254 Wichita, KS 35.5      4.4 -1.50% 209 (45)
    255 Sierra Vista-Douglas, AZ 34.4      0.4 -25.00% 309 54
    256 Danville, IL 34.3      0.2 0.00% 287 31
    257 Orange-Rockland-Westchester, NY 34.2    13.2 -1.00% 296 39
    258 Elgin, IL Metro Div 33.7      3.4 -5.50% 142 (116)
    259 Wausau, WI 33.4      0.4 0.00% 290 31
    260 Columbus, GA-AL 33.3      1.4 0.00% 203 (57)
    261 Portland-South Portland, ME NECTA 33.2      3.0 -1.11% 242 (19)
    262 Ocala, FL 33.2      0.8 0.00% 293 31
    263 Cedar Rapids, IA 33.1      4.3 -7.19% 195 (68)
    264 Santa Cruz-Watsonville, CA 33.1      0.8 -7.69% 249 (15)
    265 South Bend-Mishawaka, IN-MI 32.9      1.6 -5.88% 140 (125)
    266 Midland, TX 32.7      0.9 0.00% 314 48
    267 Modesto, CA 32.7      0.9 0.00% 270 3
    268 Dover-Durham, NH-ME NECTA 32.5      1.0 -6.45% 110 (158)
    269 Newark, NJ-PA Metro Div 32.4    23.0 -2.27% 263 (6)
    270 Hickory-Lenoir-Morganton, NC 32.3      0.8 -7.69% 198 (72)
    271 Des Moines-West Des Moines, IA 31.7      6.5 -3.45% 312 41
    272 Springfield, MA-CT NECTA 31.4      3.4 -5.56% 206 (66)
    273 Lexington-Fayette, KY 31.2      5.2 -7.10% 114 (159)
    274 Birmingham-Hoover, AL 31.0      8.2 -2.39% 298 24
    275 Rockford, IL 30.5      1.4 -6.67% 302 27
    276 Corvallis, OR 30.4      0.6 0.00% 165 (111)
    277 Jackson, MI 30.2      0.3 -25.00% 72 (205)
    278 Crestview-Fort Walton Beach-Destin, FL 30.0      1.0 7.41% 334 56
    279 Lubbock, TX 29.9      3.7 -0.88% 292 13
    280 Tulsa, OK 29.9      7.0 -1.41% 251 (29)
    281 Idaho Falls, ID 29.5      0.9 -3.57% 282 1
    282 Terre Haute, IN 29.4      0.6 -5.26% 134 (148)
    283 Little Rock-North Little Rock-Conway, AR 29.4      6.4 0.00% 286 3
    284 Richmond, VA 29.3      7.5 -1.32% 240 (44)
    285 Shreveport-Bossier City, LA 29.2      2.1 -10.00% 322 37
    286 Medford, OR 29.1      1.3 0.00% 320 34
    287 Sheboygan, WI 28.6      0.2 -25.00% 34 (253)
    288 Palm Bay-Melbourne-Titusville, FL 28.3      2.0 -16.67% 192 (96)
    289 Eugene, OR 28.2      2.8 -15.84% 95 (194)
    290 Lafayette-West Lafayette, IN 28.1      0.8 0.00% 248 (42)
    291 Vallejo-Fairfield, CA 27.9      1.0 -6.06% 254 (37)
    292 Lynn-Saugus-Marblehead, MA NECTA Division 27.8      0.9 -10.34% 236 (56)
    293 Waterbury, CT NECTA 27.8      0.6 0.00% 217 (76)
    294 Sherman-Denison, TX 27.5      0.4 0.00% 301 7
    295 Dover, DE 26.7      0.4 0.00% 331 36
    296 Scranton–Wilkes-Barre–Hazleton, PA 26.3      3.6 -3.60% 306 10
    297 Gadsden, AL 25.8      0.3 0.00% 277 (20)
    298 Elkhart-Goshen, IN 25.6      0.5 0.00% 324 26
    299 Columbus, IN 24.9      0.4 -14.29% 50 (249)
    300 Napa, CA 24.7      0.5 -6.67% 55 (245)
    301 Barnstable Town, MA NECTA 24.1      1.4 -8.89% 241 (60)
    302 Panama City, FL 24.0      1.0 0.00% 316 14
    303 Wichita Falls, TX 23.8      0.7 0.00% 138 (165)
    304 Binghamton, NY 23.0      1.6 -15.79% 119 (185)
    305 Florence-Muscle Shoals, AL 22.9      0.4 0.00% 311 6
    306 Waco, TX 22.2      1.1 -2.94% 299 (7)
    307 Nassau County-Suffolk County, NY Metro Div 22.1    20.1 -4.89% 303 (4)
    308 Deltona-Daytona Beach-Ormond Beach, FL 21.8      2.5 -3.85% 288 (20)
    309 Fort Worth-Arlington, TX Metro Div 21.3    11.6 -3.88% 281 (28)
    310 Pittsfield, MA NECTA 20.0      0.5 -16.67% 224 (86)
    311 Yuba City, CA 19.8      0.3 -18.18% 137 (174)
    312 Wilmington, DE-MD-NJ Metro Div 19.5      3.9 -4.88% 321 9
    313 Salisbury, MD-DE 19.0      1.1 -5.56% 276 (37)
    314 Calvert-Charles-Prince George’s, MD 18.2      4.4 -7.64% 268 (46)
    315 Lewiston-Auburn, ME NECTA 18.1      0.5 0.00% 333 18
    316 Walla Walla, WA 17.2      0.3 -25.00% 85 (231)
    317 Albany, OR 16.6      0.3 -25.00% 126 (191)
    318 Salinas, CA 16.4      1.3 -7.32% 305 (13)
    319 Odessa, TX 16.3      0.4 0.00% 208 (111)
    320 Roanoke, VA 16.3      1.5 -8.16% 284 (36)
    321 Lynchburg, VA 16.0      0.8 -11.11% 250 (71)
    322 Norwich-New London-Westerly, CT-RI NECTA 15.2      1.1 -5.71% 332 10
    323 Erie, PA 15.1      1.1 -8.11% 329 6
    324 Killeen-Temple, TX 14.8      1.6 0.00% 307 (17)
    325 Evansville, IN-KY 14.6      1.6 -5.88% 310 (15)
    326 New Haven, CT NECTA 14.6      3.5 -4.55% 325 (1)
    327 Vineland-Bridgeton, NJ 14.5      0.5 -6.67% 326 (1)
    328 Kansas City, KS 14.5      8.1 -7.60% 183 (145)
    329 Grand Junction, CO 14.3      0.7 -9.09% 308 (21)
    330 Brockton-Bridgewater-Easton, MA NECTA Division 12.7      0.5 -11.76% 261 (69)
    331 Kansas City, MO 11.9    11.4 -8.56% 244 (87)
    332 Kokomo, IN 10.4      0.2 -25.00% 93 (239)
    333 Anniston-Oxford-Jacksonville, AL 5.6      0.5 -16.67% 252 (81)
    334 San Angelo, TX 5.6      0.7 -16.00% 330 (4)
    335 Merced, CA 5.0      0.3 -18.18% 289 (46)
    336 New Bedford, MA NECTA 3.6      0.3 -25.00% 335 (1)
  • Large Cities Information Jobs – 2016 Best Cities Rankings

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

    2016 MSA Info Ranking – Large MSAs Area 2016 Weighted INDEX 2015 Info Emplymt Total Info Emplymt Growth Rate 2014-2015 2015 MSA Info Ranking – Large MSAs 2016  Change from 2015 –
    Large MSAs
    1 San Francisco-Redwood City-South San Francisco, CA Metro Div 97.5      60.9 6.85% 2 1
    2 San Jose-Sunnyvale-Santa Clara, CA 96.5      76.8 9.30% 1 (1)
    3 Phoenix-Mesa-Scottsdale, AZ 90.6      38.2 7.51% 6 3
    4 Raleigh, NC 90.3      20.0 4.34% 4 0
    5 Austin-Round Rock, TX 89.5      27.3 3.41% 3 (2)
    6 Charlotte-Concord-Gastonia, NC-SC 87.9      26.5 4.19% 5 (1)
    7 Seattle-Bellevue-Everett, WA Metro Div 86.5      98.0 6.44% 9 2
    8 Portland-Vancouver-Hillsboro, OR-WA 86.5      25.5 7.15% 13 5
    9 New York City, NY 80.1    191.1 1.63% 7 (2)
    10 Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metro Div 76.1      19.4 2.47% 15 5
    11 Atlanta-Sandy Springs-Roswell, GA 75.9      87.3 -0.68% 12 1
    12 Las Vegas-Henderson-Paradise, NV 74.9      10.6 -0.31% 11 (1)
    13 Boston-Cambridge-Newton, MA NECTA Division 74.2      56.8 1.43% 14 1
    14 Nashville-Davidson–Murfreesboro–Franklin, TN 73.9      21.2 3.41% 21 7
    15 Denver-Aurora-Lakewood, CO 72.4      46.2 2.59% 30 15
    16 Hartford-West Hartford-East Hartford, CT NECTA 72.3      11.9 2.59% 25 9
    17 San Antonio-New Braunfels, TX 70.2      21.3 -0.62% 8 (9)
    18 West Palm Beach-Boca Raton-Delray Beach, FL Metro Div 70.2      10.5 0.32% 17 (1)
    19 Chicago-Naperville-Arlington Heights, IL Metro Div 70.0      73.1 2.67% 29 10
    20 Los Angeles-Long Beach-Glendale, CA Metro Div 68.9    203.8 2.79% 28 8
    21 Salt Lake City, UT 67.3      18.1 1.31% 19 (2)
    22 Omaha-Council Bluffs, NE-IA 67.0      11.6 2.06% 34 12
    23 Warren-Troy-Farmington Hills, MI Metro Div 66.8      20.1 -2.11% 10 (13)
    24 Philadelphia City, PA 66.3      11.9 2.29% 38 14
    25 Anaheim-Santa Ana-Irvine, CA Metro Div 65.4      25.7 3.62% 51 26
    26 Dallas-Plano-Irving, TX Metro Div 64.8      68.8 0.88% 23 (3)
    27 Bergen-Hudson-Passaic, NJ 62.7      19.6 1.55% 22 (5)
    28 Cincinnati, OH-KY-IN 62.2      13.8 1.72% 39 11
    29 Oakland-Hayward-Berkeley, CA Metro Div 60.6      22.8 4.92% 53 24
    30 Orlando-Kissimmee-Sanford, FL 60.3      23.7 -2.06% 16 (14)
    31 Indianapolis-Carmel-Anderson, IN 58.9      16.0 -3.42% 18 (13)
    32 Miami-Miami Beach-Kendall, FL Metro Div 57.3      18.5 -1.59% 20 (12)
    33 Minneapolis-St. Paul-Bloomington, MN-WI 56.8      39.1 -0.34% 32 (1)
    34 Louisville/Jefferson County, KY-IN 56.5        9.1 -1.45% 24 (10)
    35 Tampa-St. Petersburg-Clearwater, FL 56.0      25.8 0.78% 36 1
    36 Detroit-Dearborn-Livonia, MI Metro Div 52.5        7.5 2.75% 60 24
    37 Columbus, OH 52.1      16.8 -0.40% 40 3
    38 Pittsburgh, PA 51.6      18.1 0.37% 44 6
    39 Middlesex-Monmouth-Ocean, NJ 51.5      17.2 -1.72% 34 (5)
    40 Rochester, NY 51.4        9.0 -1.82% 47 7
    41 St. Louis, MO-IL 51.3      27.9 -2.56% 26 (15)
    42 Houston-The Woodlands-Sugar Land, TX 51.1      31.5 -1.66% 33 (9)
    43 Northern Virginia, VA 50.8      40.8 -0.65% 41 (2)
    44 Jacksonville, FL 50.7        9.2 0.36% 49 5
    45 Providence-Warwick, RI-MA NECTA 48.1      10.0 1.01% 48 3
    46 Buffalo-Cheektowaga-Niagara Falls, NY 47.5        7.4 -1.78% 35 (11)
    47 Grand Rapids-Wyoming, MI 47.3        5.1 -3.75% 27 (20)
    48 Albany-Schenectady-Troy, NY 47.1        8.3 -0.40% 51 3
    49 Montgomery County-Bucks County-Chester County, PA Metro Div 46.5      20.9 1.13% 56 7
    50 San Diego-Carlsbad, CA 45.3      23.7 -1.39% 37 (13)
    51 Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Div 43.4      61.6 -2.07% 43 (8)
    52 Silver Spring-Frederick-Rockville, MD Metro Div 42.8      14.0 -3.88% 46 (6)
    53 Urban Honolulu, HI 42.1        7.2 -0.46% 49 (4)
    54 Camden, NJ Metro Div 42.0        7.0 -3.23% 45 (9)
    55 Memphis, TN-MS-AR 41.9        5.8 -2.81% 42 (13)
    56 Riverside-San Bernardino-Ontario, CA 40.1      11.3 0.00% 61 5
    57 Cleveland-Elyria, OH 39.8      14.2 -1.62% 52 (5)
    58 Milwaukee-Waukesha-West Allis, WI 39.1      14.0 -3.67% 50 (8)
    59 Sacramento–Roseville–Arden-Arcade, CA 39.0      14.0 -0.71% 66 7
    60 Oklahoma City, OK 38.0        8.1 -0.41% 57 (3)
    61 Virginia Beach-Norfolk-Newport News, VA-NC 37.4      10.7 -1.23% 58 (3)
    62 New Orleans-Metairie, LA 36.4        6.4 -24.02% 31 (31)
    63 Orange-Rockland-Westchester, NY 34.2      13.2 -1.00% 63 0
    64 Newark, NJ-PA Metro Div 32.4      23.0 -2.27% 59 (5)
    65 Birmingham-Hoover, AL 31.0        8.2 -2.39% 64 (1)
    66 Richmond, VA 29.3        7.5 -1.32% 54 (12)
    67 Nassau County-Suffolk County, NY Metro Div 22.1      20.1 -4.89% 65 (2)
    68 Fort Worth-Arlington, TX Metro Div 21.3      11.6 -3.88% 62 (6)
    69 Kansas City, KS 14.5        8.1 -7.60% 45 (24)
    70 Kansas City, MO 11.9      11.4 -8.56% 55 (15)
  • Mid-Sized Cities Information Jobs – 2016 Best Cities Rankings

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

    2016 MSA Info Ranking – Midsized MSAs  Area 2016 Weighted INDEX 2015 Info Emplymt Total Info Emplymt Growth Rate 2014-2015 2015 MSA Info Ranking – Midsized MSAs  2016  Change from 2015 –
    Midsized MSAs
    1 Provo-Orem, UT 97.8    11.4 8.3% 4 3
    2 Durham-Chapel Hill, NC 94.8      4.5 7.1% 5 3
    3 Madison, WI 94.1    16.5 8.1% 6 3
    4 Bakersfield, CA 85.6      3.0 23.6% 68 64
    5 Ann Arbor, MI 84.6      5.2 2.6% 7 2
    6 Akron, OH 82.8      4.4 8.2% 34 28
    7 Bridgeport-Stamford-Norwalk, CT NECTA 82.5    12.2 1.7% 16 9
    8 Spokane-Spokane Valley, WA 82.5      3.3 12.4% 22 14
    9 Fort Collins, CO 82.2      2.8 3.7% 21 12
    10 McAllen-Edinburg-Mission, TX 81.7      2.4 2.9% 12 2
    11 Savannah, GA 81.6      1.9 -4.9% 1 (10)
    12 Delaware County, PA 78.9      2.9 6.2% 55 43
    13 Jackson, MS 78.9      5.5 -4.6% 8 (5)
    14 Trenton, NJ 78.8      5.6 17.4% 71 57
    15 Baton Rouge, LA 76.4      6.2 -8.0% 3 (12)
    16 Myrtle Beach-Conway-North Myrtle Beach, SC-NC 76.2      2.5 2.8% 26 10
    17 Lansing-East Lansing, MI 74.3      3.0 1.1% 38 21
    18 Greenville-Anderson-Mauldin, SC 74.1      7.4 1.4% 28 10
    19 Charleston-North Charleston, SC 72.9      5.3 -0.6% 15 (4)
    20 Lincoln, NE 72.5      2.6 1.3% 11 (9)
    21 North Port-Sarasota-Bradenton, FL 71.7      3.6 4.9% 27 6
    22 Fayetteville-Springdale-Rogers, AR-MO 71.6      2.0 5.2% 46 24
    23 El Paso, TX 70.4      5.9 -1.1% 13 (10)
    24 Albuquerque, NM 70.0      8.4 5.9% 67 43
    25 Tacoma-Lakewood, WA Metropolitan Division 68.2      3.0 7.1% 21 (4)
    26 Baltimore City, MD 67.9      4.5 5.5% 84 58
    27 Chattanooga, TN-GA 67.2      3.1 5.7% 40 13
    28 Santa Maria-Santa Barbara, CA 66.7      4.3 -3.7% 9 (19)
    29 Fresno, CA 65.8      3.9 -1.7% 24 (5)
    30 Springfield, MO 63.8      4.2 -4.5% 10 (20)
    31 Allentown-Bethlehem-Easton, PA-NJ 63.7      6.1 1.1% 29 (2)
    32 Santa Rosa, CA 62.4      2.7 0.0% 32 0
    33 Cape Coral-Fort Myers, FL 62.0      3.2 1.1% 35 2
    34 Boise City, ID 61.9      4.5 -3.6% 26 (8)
    35 Worcester, MA-CT NECTA 60.8      3.5 1.0% 48 13
    36 Huntsville, AL 59.4      2.6 -3.7% 14 (22)
    37 Sioux Falls, SD 59.1      2.7 2.5% 33 (4)
    38 Knoxville, TN 58.7      5.7 -1.2% 23 (15)
    39 Framingham, MA NECTA Division 58.6      5.4 3.2% 50 11
    40 Tucson, AZ 57.8      4.7 4.5% 77 37
    41 Tallahassee, FL 55.7      3.4 -9.0% 2 (39)
    42 Lancaster, PA 55.6      3.1 1.1% 61 19
    43 Beaumont-Port Arthur, TX 55.6      1.5 7.1% 49 6
    44 Columbia, SC 55.5      5.5 -1.2% 33 (11)
    45 Montgomery, AL 54.4      2.2 0.0% 41 (4)
    46 Gary, IN Metropolitan Division 53.3      2.0 0.0% 44 (2)
    47 Reno, NV 51.6      2.0 3.4% 64 17
    48 Canton-Massillon, OH 51.4      1.7 0.0% 45 (3)
    49 Reading, PA 51.2      1.3 5.6% 66 17
    50 Anchorage, AK 51.1      4.4 -1.5% 30 (20)
    51 Ogden-Clearfield, UT 50.2      2.1 -1.6% 59 8
    52 Youngstown-Warren-Boardman, OH-PA 49.7      2.0 5.3% 79 27
    53 Augusta-Richmond County, GA-SC 49.5      3.0 -6.3% 17 (36)
    54 Stockton-Lodi, CA 47.8      2.0 -1.6% 47 (7)
    55 Lakeland-Winter Haven, FL 46.5      1.6 2.1% 52 (3)
    56 Corpus Christi, TX 46.3      2.0 1.7% 43 (13)
    57 Asheville, NC 46.3      1.8 -3.6% 25 (32)
    58 Gulfport-Biloxi-Pascagoula, MS 44.7      1.6 0.0% 74 16
    59 Green Bay, WI 44.7      1.9 -5.0% 20 (39)
    60 Greensboro-High Point, NC 44.6      5.0 -2.6% 57 (3)
    61 Boulder, CO 44.4      7.8 -2.9% 42 (19)
    62 Colorado Springs, CO 44.1      6.6 -2.0% 56 (6)
    63 Oxnard-Thousand Oaks-Ventura, CA 43.8      4.9 -5.1% 18 (45)
    64 Lake County-Kenosha County, IL-WI Metropolitan Division 42.2      3.7 1.9% 89 25
    65 Fort Wayne, IN 41.5      2.9 0.0% 69 4
    66 Syracuse, NY 41.4      4.4 0.8% 75 9
    67 Salem, OR 38.8      1.0 0.0% 88 21
    68 Lafayette, LA 38.8      2.7 1.2% 63 (5)
    69 Toledo, OH 38.7      3.0 0.0% 62 (7)
    70 Dayton, OH 38.0      8.4 -0.8% 83 13
    71 Mobile, AL 37.2      1.9 -5.0% 36 (35)
    72 Davenport-Moline-Rock Island, IA-IL 37.1      2.3 -1.4% 72 0
    73 Peoria, IL 37.0      2.2 -1.5% 76 3
    74 Winston-Salem, NC 36.5      2.0 -6.3% 19 (55)
    75 York-Hanover, PA 36.1      1.7 -2.0% 81 6
    76 Pensacola-Ferry Pass-Brent, FL 35.7      2.3 1.5% 94 18
    77 Harrisburg-Carlisle, PA 35.7      4.4 -0.8% 82 5
    78 Wichita, KS 35.5      4.4 -1.5% 60 (18)
    79 Elgin, IL Metropolitan Division 33.7      3.4 -5.5% 39 (40)
    80 Portland-South Portland, ME NECTA 33.2      3.0 -1.1% 70 (10)
    81 Modesto, CA 32.7      0.9 0.0% 80 (1)
    82 Des Moines-West Des Moines, IA 31.7      6.5 -3.4% 93 11
    83 Springfield, MA-CT NECTA 31.4      3.4 -5.6% 58 (25)
    84 Lexington-Fayette, KY 31.2      5.2 -7.1% 31 (53)
    85 Rockford, IL 30.5      1.4 -6.7% 90 5
    86 Tulsa, OK 29.9      7.0 -1.4% 73 (13)
    87 Little Rock-North Little Rock-Conway, AR 29.4      6.4 0.0% 86 (1)
    88 Shreveport-Bossier City, LA 29.2      2.1 -10.0% 96 8
    89 Palm Bay-Melbourne-Titusville, FL 28.3      2.0 -16.7% 53 (36)
    90 Eugene, OR 28.2      2.8 -15.8% 25 (65)
    91 Scranton–Wilkes-Barre–Hazleton, PA 26.3      3.6 -3.6% 91 0
    92 Deltona-Daytona Beach-Ormond Beach, FL 21.8      2.5 -3.8% 87 (5)
    93 Wilmington, DE-MD-NJ Metropolitan Division 19.5      3.9 -4.9% 95 2
    94 Salisbury, MD-DE 19.0      1.1 -5.6% 83 (11)
    95 Calvert-Charles-Prince George’s, MD 18.2      4.4 -7.6% 78 (17)
    96 Roanoke, VA 16.3      1.5 -8.2% 85 (11)
    97 Evansville, IN-KY 14.6      1.6 -5.9% 92 (5)
    98 New Haven, CT NECTA 14.6      3.5 -4.5% 97 (1)
  • Small Cities Information Jobs – 2016 Best Cities Rankings

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

    2016 MSA Info Ranking – Small MSAs  Area 2016 Weighted INDEX 2015 Info Emplymt Total Info Emplymt Growth Rate 2014-2015 2015 MSA Info Ranking – Small MSAs 2016  Change from 2015 –
    Small MSAs
    1 Flagstaff, AZ 96.5          0.5 25% 37 36
    2 Bend-Redmond, OR 92.7          1.8 13% 13 11
    3 Portsmouth, NH-ME NECTA 90.2          2.6 8% 11 8
    4 Wilmington, NC 84.6          3.0 5% 8 4
    5 Lawrence-Methuen Town-Salem, MA-NH NECTA Division 82.6          1.7 2% 18 13
    6 Racine, WI 81.8          0.5 15% 94 88
    7 Rochester, MN 81.0          2.0 0% 2 (5)
    8 Haverhill-Newburyport-Amesbury Town, MA-NH NECTA Division 78.7          0.4 0% 19 11
    9 Clarksville, TN-KY 78.0          1.2 6% 20 11
    10 Cheyenne, WY 77.7          1.2 0% 6 (4)
    11 Lowell-Billerica-Chelmsford, MA-NH NECTA Division 77.5          7.0 2% 60 49
    12 San Luis Obispo-Paso Robles-Arroyo Grande, CA 77.0          1.5 0% 22 10
    13 Flint, MI 76.9          4.1 1% 14 1
    14 St. George, UT 76.7          0.8 5% 65 51
    15 Punta Gorda, FL 76.6          0.5 8% 110 95
    16 Tuscaloosa, AL 75.6          0.9 8% 105 89
    17 Fond du Lac, WI 75.6          1.0 0% 7 (10)
    18 Janesville-Beloit, WI 75.5          1.6 -8% 1 (17)
    19 Manchester, NH NECTA 75.5          3.3 10% 103 84
    20 Victoria, TX 74.6          0.5 25% 9 (11)
    21 Bay City, MI 73.8          0.5 0% 25 4
    22 Charlottesville, VA 72.4          2.2 6% 72 50
    23 College Station-Bryan, TX 71.4          1.3 0% 4 (19)
    24 Abilene, TX 71.1          1.2 0% 16 (8)
    25 Tyler, TX 70.5          2.3 0% 23 (2)
    26 Pueblo, CO 67.1          0.7 11% 75 49
    27 Logan, UT-ID 66.6          0.8 0% 3 (24)
    28 Peabody-Salem-Beverly, MA NECTA Division 66.6          1.3 0% 28 0
    29 Auburn-Opelika, AL 65.7          0.5 0% 36 7
    30 Burlington, NC 64.7          0.5 0% 34 4
    31 Cleveland, TN 64.5          0.3 0% 33 2
    32 Prescott, AZ 64.4          0.6 0% 51 19
    33 Dutchess County-Putnam County, NY Metropolitan Division 63.9          2.0 7% 112 79
    34 Visalia-Porterville, CA 63.8          1.0 0% 83 49
    35 Watertown-Fort Drum, NY 63.2          0.7 0% 50 15
    36 San Rafael, CA Metropolitan Division 62.8          2.6 3% 69 33
    37 Hagerstown-Martinsburg, MD-WV 62.4          2.4 1% 96 59
    38 Lewiston, ID-WA 62.2          0.4 0% 41 3
    39 Morristown, TN 61.6          0.4 33% 173 134
    40 Nashua, NH-MA NECTA Division 60.7          1.9 0% 91 51
    41 Ithaca, NY 59.4          0.5 0% 145 104
    42 Redding, CA 59.4          0.7 0% 42 0
    43 Pocatello, ID 59.1          0.4 0% 27 (16)
    44 Grants Pass, OR 59.1          0.3 0% 47 3
    45 Bloomington, IL 58.3          0.8 9% 161 116
    46 Bangor, ME NECTA 58.0          1.1 3% 59 13
    47 Naples-Immokalee-Marco Island, FL 57.6          1.5 0% 76 29
    48 Hanford-Corcoran, CA 57.3          0.2 0% 62 14
    49 Fairbanks, AK 56.6          0.5 0% 63 14
    50 Gainesville, FL 56.4          1.5 2% 40 (10)
    51 Decatur, AL 55.8          0.3 0% 56 5
    52 Owensboro, KY 55.8          0.5 0% 147 95
    53 Greenville, NC 55.6          0.9 0% 80 27
    54 Lake Havasu City-Kingman, AZ 55.6          0.7 17% 164 110
    55 Laredo, TX 55.2          0.6 0% 5 (50)
    56 Muncie, IN 55.0          0.3 0% 117 61
    57 Lawton, OK 55.0          0.5 0% 73 16
    58 Grand Forks, ND-MN 54.6          0.6 0% 84 26
    59 Muskegon, MI 54.1          0.8 0% 43 (16)
    60 Burlington-South Burlington, VT NECTA 54.0          2.3 5% 78 18
    61 Brownsville-Harlingen, TX 54.0          1.2 0% 53 (8)
    62 Charleston, WV 53.8          1.8 0% 86 24
    63 Rapid City, SD 53.4          0.9 0% 17 (46)
    64 Kingsport-Bristol-Bristol, TN-VA 53.2          2.0 2% 92 28
    65 Taunton-Middleborough-Norton, MA NECTA Division 53.2          1.2 -5% 38 (27)
    66 Santa Fe, NM 52.9          0.9 8% 49 (17)
    67 Champaign-Urbana, IL 51.4          2.5 -9% 26 (41)
    68 Duluth, MN-WI 50.9          1.5 7% 133 65
    69 Olympia-Tumwater, WA 50.8          0.9 0% 89 20
    70 Madera, CA 50.8          0.4 0% 71 1
    71 Fargo, ND-MN 50.4          3.1 -1% 35 (36)
    72 Jackson, TN 50.3          0.6 0% 79 7
    73 Amarillo, TX 50.2          1.4 2% 104 31
    74 Kankakee, IL 50.0          0.4 -7% 88 14
    75 Oshkosh-Neenah, WI 49.8          1.5 -4% 10 (65)
    76 Spartanburg, SC 49.7          1.0 -3% 32 (44)
    77 Fort Smith, AR-OK 49.4          1.2 0% 119 42
    78 Bloomington, IN 49.4          1.2 -3% 12 (66)
    79 Texarkana, TX-AR 49.2          0.5 0% 70 (9)
    80 Saginaw, MI 48.9          1.3 -2% 85 5
    81 La Crosse-Onalaska, WI-MN 48.8          1.1 0% 82 1
    82 Kingston, NY 48.5          0.9 0% 138 56
    83 Topeka, KS 48.1          1.5 2% 113 30
    84 Eau Claire, WI 48.0          0.9 0% 101 17
    85 St. Cloud, MN 46.4          1.6 -4% 126 41
    86 Sebastian-Vero Beach, FL 46.1          0.6 0% 74 (12)
    87 Altoona, PA 46.1          0.8 -7% 77 (10)
    88 Port St. Lucie, FL 45.9          1.3 0% 29 (59)
    89 Fayetteville, NC 45.3          1.4 0% 125 36
    90 Chico, CA 45.2          1.0 -9% 54 (36)
    91 Elmira, NY 44.8          0.4 0% 108 17
    92 Huntington-Ashland, WV-KY-OH 44.5          1.3 0% 107 15
    93 Yuma, AZ 44.1          0.5 0% 111 18
    94 Bismarck, ND 44.1          0.9 0% 48 (46)
    95 Atlantic City-Hammonton, NJ 43.8          0.8 0% 165 70
    96 Casper, WY 43.6          0.4 0% 132 36
    97 Kahului-Wailuku-Lahaina, HI 43.4          0.6 0% 130 33
    98 Kalamazoo-Portage, MI 42.9          1.0 7% 157 59
    99 Glens Falls, NY 42.2          0.9 0% 127 28
    100 Niles-Benton Harbor, MI 41.8          0.5 0% 114 14
    101 Kennewick-Richland, WA 41.1          0.8 -4% 97 (4)
    102 Las Cruces, NM 41.1          0.9 -4% 55 (47)
    103 Dothan, AL 40.8          0.7 -5% 87 (16)
    104 Decatur, IL 40.3          0.6 0% 136 32
    105 Greeley, CO 39.7          0.7 5% 159 54
    106 Utica-Rome, NY 39.6          1.7 -2% 90 (16)
    107 Johnstown, PA 39.4          0.7 0% 131 24
    108 Springfield, IL 39.2          1.7 -2% 129 21
    109 Coeur d’Alene, ID 38.1          0.6 0% 158 49
    110 Longview, TX 37.5          1.3 0% 102 (8)
    111 El Centro, CA 37.4          0.3 0% 144 33
    112 Johnson City, TN 37.3          1.5 -4% 98 (14)
    113 Leominster-Gardner, MA NECTA 37.1          0.4 0% 115 2
    114 Appleton, WI 36.0          1.5 0% 149 35
    115 Sierra Vista-Douglas, AZ 34.4          0.4 -25% 153 38
    116 Danville, IL 34.3          0.2 0% 139 23
    117 Wausau, WI 33.4          0.4 0% 141 24
    118 Columbus, GA-AL 33.3          1.4 0% 99 (19)
    119 Ocala, FL 33.2          0.8 0% 143 24
    120 Cedar Rapids, IA 33.1          4.3 -7% 93 (27)
    121 Santa Cruz-Watsonville, CA 33.1          0.8 -8% 121 0
    122 South Bend-Mishawaka, IN-MI 32.9          1.6 -6% 68 (54)
    123 Midland, TX 32.7          0.9 0% 155 32
    124 Dover-Durham, NH-ME NECTA 32.5          1.0 -6% 52 (72)
    125 Hickory-Lenoir-Morganton, NC 32.3          0.8 -8% 95 (30)
    126 Corvallis, OR 30.4          0.6 0% 81 (45)
    127 Jackson, MI 30.2          0.3 -25% 31 (96)
    128 Crestview-Fort Walton Beach-Destin, FL 30.0          1.0 7% 171 43
    129 Lubbock, TX 29.9          3.7 -1% 142 13
    130 Idaho Falls, ID 29.5          0.9 -4% 137 7
    131 Terre Haute, IN 29.4          0.6 -5% 64 (67)
    132 Medford, OR 29.1          1.3 0% 160 28
    133 Sheboygan, WI 28.6          0.2 -25% 15 (118)
    134 Lafayette-West Lafayette, IN 28.1          0.8 0% 120 (14)
    135 Vallejo-Fairfield, CA 27.9          1.0 -6% 124 (11)
    136 Lynn-Saugus-Marblehead, MA NECTA Division 27.8          0.9 -10% 116 (20)
    137 Waterbury, CT NECTA 27.8          0.6 0% 106 (31)
    138 Sherman-Denison, TX 27.5          0.4 0% 148 10
    139 Dover, DE 26.7          0.4 0% 168 29
    140 Gadsden, AL 25.8          0.3 0% 135 (5)
    141 Elkhart-Goshen, IN 25.6          0.5 0% 162 21
    142 Columbus, IN 24.9          0.4 -14% 21 (121)
    143 Napa, CA 24.7          0.5 -7% 24 (119)
    144 Barnstable Town, MA NECTA 24.1          1.4 -9% 118 (26)
    145 Panama City, FL 24.0          1.0 0% 156 11
    146 Wichita Falls, TX 23.8          0.7 0% 67 (79)
    147 Binghamton, NY 23.0          1.6 -16% 57 (90)
    148 Florence-Muscle Shoals, AL 22.9          0.4 0% 154 6
    149 Waco, TX 22.2          1.1 -3% 146 (3)
    150 Pittsfield, MA NECTA 20.0          0.5 -17% 109 (41)
    151 Yuba City, CA 19.8          0.3 -18% 66 (85)
    152 Lewiston-Auburn, ME NECTA 18.1          0.5 0% 170 18
    153 Walla Walla, WA 17.2          0.3 -25% 39 (114)
    154 Albany, OR 16.6          0.3 -25% 61 (93)
    155 Salinas, CA 16.4          1.3 -7% 150 (5)
    156 Odessa, TX 16.3          0.4 0% 100 (56)
    157 Lynchburg, VA 16.0          0.8 -11% 122 (35)
    158 Norwich-New London-Westerly, CT-RI NECTA 15.2          1.1 -6% 169 11
    159 Erie, PA 15.1          1.1 -8% 166 7
    160 Killeen-Temple, TX 14.8          1.6 0% 151 (9)
    161 Vineland-Bridgeton, NJ 14.5          0.5 -7% 163 2
    162 Grand Junction, CO 14.3          0.7 -9% 152 (10)
    163 Brockton-Bridgewater-Easton, MA NECTA Division 12.7          0.5 -12% 128 (35)
    164 Kokomo, IN 10.4          0.2 -25% 44 (120)
    165 Anniston-Oxford-Jacksonville, AL 5.6          0.5 -17% 123 (42)
    166 San Angelo, TX 5.6          0.7 -16% 167 1
    167 Merced, CA 5.0          0.3 -18% 140 (27)
    168 New Bedford, MA NECTA 3.6          0.3 -25% 172 4