Author: admin

  • Main Street Middle America: Don’t Get Mad, Get Ahead

    Like many on Main Street Paul Goodpaster is angry. Paul is my banker friend in Morehead, a retail, medical and education hub on the edge of eastern Kentucky. He observed that his bank was doing quite well – albeit hurt now by rising unemployment and an economy starting to have an impact even on those unglamorous places that had minded their business well.

    “If only some of those ’experts‘ would get out of their inside-the-beltway heads and visit with me here in Morehead, I’d give them ideas on how this October disaster could have been averted. “Too big to fail,” he scoffed. “It should be about too big to have been allowed to do business and thus too big not to fail!”

    So, what can forgotten middle America do about all this mess? Anger won’t get it; and self pity is a waste of time. Only by developing the “swagger” of elbowing our way through the noise can we hope to be heard. We still hear the cacophony of all the blither and blather coming out of the well-connected east coast crowd. Cutting through means learning how we in the “flyover“ zone can position ourselves in the national and global economy.

    The world most assuredly did change – likely in perceptible ways prior to but with an exclamation point in October. In November “we” – with more than a few exceptions in the south and middle country – elected a president that exemplified our hopes and dreams. He was touted as a guy who understands cities and community life better than any in modern history.

    But, all that being said, middle and certainly southern and Appalachian America did not vote for the president. We are a long way – in our economy, our habits and our viewpoints – from Chicago. We are the home of coal and factories and small places far out of the way.

    Our outlook, on the surface, could not be worse. As a community we are out of power and also perhaps out of favor. Yet the world changed for us as well and opportunity abounds for those who are willing and able to fight back. We discovered that (1) we are interdependent with the global community no matter where we are; (2) that the experts don’t all graduate from Harvard and Yale – note the Greenspan bewilderment in October, 2008 and (3) that a new kind of sensibility is emerging.

    As the world grows bewilderingly out of control, people will be seeking places that are affordable and welcome growth. That is where middle America comes in.

    We will have something close to another 100 to 120 million more people in this country by the year 2050. Conventional wisdom would have it that they will all move to glamorous, hip and fast places. But not so fast on that theory. A visit to Owensboro, Kentucky yields a different answer. Set on the Ohio River across from Evansville, Indiana, Owensboro is a town with a unique DNA that has been preserved over the years. With high performing schools and a rich tradition of civic activism, they are planning a major “quality of life” initiative that the Mayor Ron Payne describes as something aimed squarely at children and grandchildren – a statement that bucks the “all about me era.” Owensboro, with a diverse economy that never rode the wave of the “bubble” always minded its Ps and Qs. He is building walking and bike trails and bolstering a downtown that he describes as the living room to the community.

    Owensboro is also home to a world class performing arts center headed up by Zev Buffman, a master producer of over 40 Broadway plays, who made Owensboro his home after visiting the arts center and appreciating its high quality. Zev has convinced Broadway of the wisdom of “staging” plays in Owensboro at a fraction of New York City prices. What is the advantage to Owensboro? Young people can see first hand that life in middle America is not the same as being banished to the boonies. It can also be enriching and connected. As one young man put it: “I can get started earlier in owning a business in a place like Owensboro that would take years or never happen in one of the mega cities where I would just be a cog in the machinery.”

    In middle America, we need to learn that nothing is predictable. But we should have more confidence that we can build expertise at home. People like Mayor Ron Payne and Zev Buffman have taken their entrepreneurial spirit and applied it to an emerging new frontier of America’s battered small- to mid-sized cities in the middle of the country. It’s time for this portion of America to stop getting mad, and start getting ahead.

    Sylvia L. Lovely is the Executive Director/CEO of the Kentucky League of Cities and the founder and president of the NewCities Institute. She currently serves as chair of the Morehead State University Board of Regents. Please send your comments to slovely@klc.org and visit her blog at sylvia.newcities.org.

  • Germany’s Green Energy Goals Are Potentially Unrealistic

    The world looks to Germany to be a leader in Green Energy. There’s been a great deal of hype surrounding Chancellor Angela Merkel’s very ambitious goals of dramatically reducing the county’s emissions by 2020.

    Yet the German experience should also provide some pause to President Obama and others proposing such changes in the United States. It turns out that goals are potentially unrealistic, perhaps even dangerous, for numerous reasons. One reason that makes them so unrealistic is that they are seriously hamstrung by effectively cutting off the single largest source of CO2-free energy available anywhere in the world right now: Nuclear Power.

    This reflects how much Germany has been influenced by green politics. In the years of the Socialist-Green government stretching from 1998 – 2005, nuclear power was considered an anathema. The Green party has its roots in the anti-nuclear power movement of the seventies. One of the most important items on their agenda when they came into power was to completely eliminate Germany’s use of nuclear power in the now infamous Atomaustieg or Nuclear exit which mandated that Germany no longer use nuclear power by the year 2020.

    When Chancellor Merkel took power under the Grand Coalition of Christian Democrats and Social Democrats, this policy remained in place even as the government pledged it would dramatically lower Greenhouse Gases by 2020 as well. Although the Christian Democratic Union (CDU) has been arguing for a repeal of the ban on nuclear power, the coalition continued to eliminate this most effective means of GHG reduction, placing its bets on conservation and renewable energy.

    Ironically Germany remains one of the leading countries when it comes to nuclear technology. Areva, France’s nuclear leviathan has a large R&D facility here in Germany, where I myself once worked as an English language trainer. The German engineers working here in Erlangen are regularly sent abroad to help with the building and maintenance of nuclear plants throughout Europe and the rest of the world. German engineering is being used in Finland, Bulgaria, and Sweden. Some of the engineers have even helped build a high-pressure reactor in Lynchburg, Virginia. I have worked with these people and they include some of the best minds in the field.

    Germany’s desire to reduce greenhouse gases and live without nuclear power has taken some almost absurd turns over the years. For one thing, Germany appears to be turning to its single cheap and abundant supply of energy, albeit a very dirty one, coal. Germany has both some cleaner anthracite and a lot of very dirty bitumen mines. These mines provide an enormous portion of Germany’s electricity and are also one of the reasons why Germany’s lights won’t go off even if all the nuclear plants are turned off. Coal power plants are being built across the country – even the Greens in the Hamburg government have allowed massive plant to be built in the city with some very strict regulations.

    The single most absurd aspect of the Green’s desire to eliminate Germany’s reliance of nuclear power are massive subsidies that it has provided for both solar and wind power generation. Germany, while not the gloomiest country in Europe, is not exactly sunny. It has huge annual amounts of precipitation and dark, grey winters. Subsidies, as well as its renowned industrial prowess, have turned the country into one of the leading producers of solar power.

    Yet this is not an unalloyed advantage – despite the constant claims made about “green jobs“ here in Europe as well as North America. Solar power is enormously expensive and inefficient here, most notably lacking the reliability needed by all major power suppliers. It only produces power when the sun shines, and it is very tricky to store the energy created, especially with photovoltaic sources making it enormously expensive. Some forms of solar power have been able to store off-peak power production; the parabolic-trough plants in Andalusia or the Mojave deserts use molten salts stored en masse to assure 24-hour supply, but these technologies, though provided by German companies, cannot be implemented in Germany itself due to the lack of intense sunshine about 6 months out of the year.

    And then there’s wind. Wind has all of the drawbacks of solar but the advantage that Germany is at least fairly windy. Wind power has taken off here and the Baltic and North Sea coasts are dotted with enormous wind parks. The costs are still enormous and wind or solar power are still far more expensive than standard sources of power. A May 12, 2008 editorial in the Wall Street Journal stated: “For electricity generation, the EIA concludes that solar energy is subsidized to the tune of $24.34 per megawatt hour, wind $23.37 and ‘clean coal’ $29.81. By contrast, normal coal receives 44 cents, natural gas a mere quarter, hydroelectric about 67 cents and nuclear power $1.59.”

    Costs have come down recently due to the explosive growth in the sector over the last few years. The U.S. Energy Information Administration estimates that wind costs $55.80 per MWh, coal at $53.10/MWh and natural gas at $52.50, and the costs for wind fail to take into consideration the costs of owning and operating a conventional power plant to provide energy when the wind is not blowing. Explosive growth over the last few years has allowed companies to exploit the economies of scale created by large-scale production. German wind-turbine producers have been able to maintain a fairly large presence on the market but have been muscled out recently by American and Indian manufacturers. Wind-power will never be able to provide more than 20% of the power mix by most projections. As with solar, there is insufficient storage technology affecting solar; the appropriate areas have been built out. There have been murmurs about the possibility offered by off-sea wind parks but these are also enormously expensive to build and maintain.

    Germany has shunned nuclear and coal in an attempt to use wind and solar. Renewable sources are not only much more expensive but also cannot begin to provide the amount of energy at economical rates. Germans are also big fans of natural gas but the problem is Germany has very little of it. Germany has had to import its natural gas, some from fairly reliable partners like the Netherlands and the United Kingdom but mostly from an increasingly assertive and authoritarian Russia.

    So rather than promote independence in energy, Germany’s green policies are making it ever more dependent on an autocracy. Even under the Soviets, Germany’s wet winters were made more commodious with the pleasant warmth provided by Russian gas. Schroeder and Putin were the best of friends, aided by the fact that Putin spoke fluent German from his time running the KGB station in Dresden, Germany. When Schroeder was fired by the German people he quickly found employment as a lobbyist for Gazprom, the Russian energy titan.

    This leaves Germany with a series of problems with no pleasant solution. It can either lift the ban on nuclear power or extend the lives of its plants as Sweden has already done. It can build a lot more coal-fired power plants, which Vattenfall is now trying to do in Hamburg, or it can opt for conservation, renewable energy and economic stagnation. The latter seems to be the path that Germany has chosen. Economic stagnation or even moderate economic growth or slight contraction might not be so bad for Germany. It has none of the demographic pressures driving dynamism and growth in America. The green ideologues driving German policy argue that renewable and conservation of energy are Germany’s only hope. To them, green principles are well worth the price in demographic and economic stagnation.

    Kirk Rogers resides in Bubenreuth on the outer edges of Nuremberg and teaches languages and Amercan culture at the University of Erlangen-Nuremberg’s Institut für Fremdsprachen und Auslandskunde. He has been living in Germany for about ten years now due to an inexplicable fascination with German culture.

  • Can Eddie Mac Solve the Housing Crisis?

    Every downturn comes to an end. Recovery has followed every recession including the Great Depression. In 1932, John D. Rockefeller said, “These are days when many are discouraged. In the 93 years of my life, depressions have come and gone. Prosperity has always returned and will again.” The question is not ”IF”, rather it is “WHEN” recovery will begin. The age-old question remains: what can government do to get the nation out of recession?

    Government can act wisely. In the past, it used tax legislation (the mortgage interest deduction) to create the highest home ownership rate in the industrialized world. It can also act stupidly by promoting “Sub-Prime” mortgages, “105%” financing and the “No-Doc” loan that got us into this financial mess. As many as 4.4 million more Americans could lose their homes – unless drastic action is taken to stop the process.

    Much of this was built on good intentions. One example of poor planning can be seen in Department of Housing Development’s “Dollar Homes” program. The HUD website describes this as an altruistic program “to foster housing opportunities for low and moderate income families” by selling homes for $1 after the Federal Housing Authority has been unable to sell them after six months.

    This sounds like a good idea but the program has become consumed by fraud and waste and has delivered little benefit to the parties intended. First, the policy eliminated any ability to sell the properties at market since it is clear that the value will be marked down to $1 in six months. The result was massive losses to the government as previously saleable properties were re-priced to $1. Second, the homes were snatched up by businessmen and the cronies of politicians who knew how to game the system. These homes were then sold on the retail market for huge profits. Very few homes made it to the needy parties intended. This dumb legislation created and fed a lazy, corrupt, bloated, ineffective and expensive bureaucracy.

    In contrast, smart legislation can end the housing crisis that threatens to send our economy reeling into the next Great Depression. A simple but effective governmental action does not have to cost a lot of money and more importantly, does not require a new permanent and expensive bureaucracy. It can be a win-win-win for federal government, local government and working families. This smart legislation is called Eddie Mac, which stands for the Empower Direct Ownership Mortgage Corporation.

    The genesis of Eddie Mac comes from the “good old days” when home prices were high. The most common complaint heard from police, fire, teachers, nurses and municipal workers was that they could not afford to live in the very communities where they worked. The lower wages of these groups forced them onto the freeways to more affordable neighborhoods in distant suburbs. The commute of hundreds of thousands of city workers across the nation clogged our roads, added harmful emissions to our atmosphere and exacerbated our dependence on foreign oil.

    Simply stated, the Eddie Mac program allows local government to buy vacant foreclosed homes from the banks and institutions. Local government then stimulates the local economy by hiring local realtors, appraisers and contracting with local labor to fix up the deteriorated properties. It then leases the properties to police, fire, teachers, nurses and municipal workers who otherwise could not afford to live in their own communities. Local government enters into an “Empower Direct Ownership Lease Option” with their employees so that the employees have the right to purchase the homes in the future using their rental payments to build equity. The Empower Direct Ownership Lease Option allows the employee to acquire the home in five years for the original purchase price plus 50% of the appreciated value.

    Instead of concentrating power in Washington, Eddie Mac empowers local government to solve their own local real estate economy. Eddie would employ local realtors to identify vacant foreclosed properties qualified for the Eddie Mac program. Realtors would earn a 1% fee for identifying and assisting local government with the acquisition. The purchase price would be set by a local appraiser who would also earn an appraisal fee. Use of local appraisers avoids banks profiting unfairly from a government program. The free market system would set the value. The purchase price would include an estimate of costs to bring the home back to local standards, using local workers to fix up these properties. Local government would obtain 100% financing for the acquisition from Eddie Mac bonds that would be sold on Wall Street along side of Fannie Mae, Freddie Mac and Ginnie Mae guaranteed loans.

    A $200,000 home, foreclosed upon, vacant and allowed to deteriorate has likely deteriorated to just $120,000. Its actual value will be determined by appraisal. At $120,000, a 4% guaranteed Eddie Mac mortgage would cost local government just $4,800 per year. Local government would be able to rent that home for $400 per month making it affordable to police, fire, teachers, nurses and municipal workers.

    The Empower Direct Ownership Lease Option allows the employee to acquire the home in five years for the original purchase price plus 50% of the appreciated value. If the baseline value is $120,000 and the home appreciates at 5% per year, it will increase in value $6,000 per year or $33,153 over 5 years. The employee’s Empower Direct Ownership Lease Option allows them to acquire the home in five years for the original purchase price plus 50% of the appreciation or $136,577. The price is $16,577 below market price, creating equity for the home buyer of $16,577 which can be used as the future down payment to acquire the home.

    This is a win-win-win scenario. Stopping the slide in home values by buying up foreclosed homes with federally insured 4% bonds is a low tech, low cost effort to put the brakes on the recession. And it entails no new bureaucracy. The Federal government is the big winner because they would be footing the bill for the bail-out if the economy continued to unravel. Local government wins by solving an age old dilemma of how to house its local work force. The local economy wins as fresh stimulus is put into the economy to locate, appraise, acquire, insure, repair, repaint and refurbish these homes. The city/county/municipal workers win with an opportunity to enjoy the American dream of home ownership in the very communities where they work. The environment wins as we take commuters off the road and lessen the environmental impact of their commute. And, we help reduce our dependence on Middle East oil as the ripple effect of tens of thousands of Eddie Mac homes are leased to local employees who now live and work in their own communities.

    Eddie Mac can become the firebreak to the mortgage crisis, the game changer needed to change market momentum. The hundreds and thousands of vacant foreclosed home sales generated by the implementation of the Eddie Mac program would send a strong signal to the public that the market has bottomed and the recovery has begun. Vacant homes would be acquired, fixed up and occupied by stable, important and long-term members of our communities.

    John D. Rockefeller once stood on the floor of the New York Stock Exchange and quieted the panic by firmly proclaiming; “Buy” in the dark days of the 1929 collapse. Our government can help stop the slide in prices by standing with our local governments and firmly encouraging “Buy” in the local markets. Reckless government got us into this mess. Smart government can get us out.

    Robert J. Cristiano Ph.D. has more than 25 years experience in real estate development in Southern California. He is a resident of Newport Beach, CA.

  • Green Celebrity Hipocracy

    Kudos to the Daily Beast for doing its homework and exposing the blatant hypocrisy behind green-tinged celebrity. People like Gore, Streisand, and Madonna have been filling airwaves with exhortations to pitch in and save the planet while living the good life that is supposedly destroying it. Gore himself has put forth a proposal that Professor William Nordhaus has said would ruin the economy. One way for these Green celebs to reduce their carbon dioxide emissions would be to have them stop blowing so much hot air on the topic. There is also the option of listening to the words of Freeman Dyson and stop viewing this thing as a matter of faith. These people should really look more closely at their own lifestyles before telling us how to live. It would be nice if a little of the vitriol could be removed from the debate and we could have a reasonable look at the possible options. Our world and economy are too important.

  • All Cities Rankings – 2009 New Geography Best Cities for Job Growth

    Read how we pick the best cities.

    Overall Rank 2009
    Area
    2009
    Weighted
    INDEX
    2008 Nonfarm Emplymt (1000s)
    Size 2009
    Overall Rank
    Movement
    2009
    Size
    Rank
    1 Odessa, TX    100.0
    64.8
    S
    3
    1
    2 Grand Junction, CO      92.4
    66.5
    S
    9
    2
    3 Longview, TX      90.0
    98.4
    S
    10
    3
    4 Houma-Bayou Cane-Thibodaux, LA      88.0
    97.8
    S
    26
    4
    5 Killeen-Temple-Fort Hood, TX      87.9
    128.4
    S
    63
    5
    6 Austin-Round Rock, TX      87.7
    778.5
    L
    13
    1
    7 McAllen-Edinburg-Mission, TX      87.6
    221.1
    M
    13
    1
    8 Laredo, TX      87.1
    91.3
    S
    51
    6
    9 Houston-Sugar Land-Baytown, TX      85.4
    2,609.6
    L
    19
    2
    10 Tulsa, OK      85.1
    436.6
    M
    131
    2
    11 Athens-Clarke County, GA      85.0
    86.2
    S
    64
    7
    12 Kennewick-Pasco-Richland, WA      84.7
    93.7
    S
    11
    8
    13 Morgantown, WV      84.5
    63.4
    S
    8
    9
    14 Lafayette, LA      84.1
    151.2
    M
    28
    3
    15 Fargo, ND-MN      83.9
    122.4
    S
    31
    10
    16 College Station-Bryan, TX      83.5
    96.3
    S
    147
    11
    17 Coeur d’Alene, ID      83.0
    55.8
    S
    -14
    12
    18 Bismarck, ND      82.8
    61.0
    S
    34
    13
    19 Durham-Chapel Hill, NC      82.3
    291.0
    M
    24
    4
    20 San Antonio, TX      82.0
    849.8
    L
    28
    3
    21 Alexandria, LA      81.7
    67.0
    S
    97
    14
    22 Kansas City, KS      81.1
    446.4
    M
    47
    5
    23 Corpus Christi, TX      80.8
    182.8
    M
    105
    6
    24 Cheyenne, WY      80.8
    44.9
    S
    5
    15
    25 Olympia, WA      80.1
    103.3
    S
    2
    16
    26 Sioux Falls, SD      79.9
    135.6
    S
    25
    17
    27 Baton Rouge, LA      79.2
    377.4
    M
    44
    7
    28 Greeley, CO      78.8
    82.5
    S
    -3
    18
    29 Tyler, TX      78.7
    96.3
    S
    66
    19
    30 Fort Worth-Arlington, TX Metropolitan Division      78.3
    877.5
    L
    20
    4
    31 Las Cruces, NM      78.0
    69.4
    S
    47
    20
    32 Dallas-Plano-Irving, TX Metropolitan Division      78.0
    2,102.1
    L
    25
    5
    33 Shreveport-Bossier City, LA      77.6
    180.1
    M
    51
    8
    34 Seattle-Bellevue-Everett, WA Metropolitan Division      77.2
    1,457.8
    L
    20
    6
    35 Anchorage, AK      76.7
    169.7
    M
    149
    9
    36 Salt Lake City, UT      76.5
    640.2
    L
    -14
    7
    37 Mobile, AL      74.7
    183.3
    M
    121
    10
    38 Raleigh-Cary, NC      74.6
    513.5
    L
    -30
    8
    39 El Paso, TX      74.6
    278.8
    M
    57
    11
    40 Huntsville, AL      74.6
    211.6
    M
    -8
    12
    41 Joplin, MO      73.1
    80.9
    S
    50
    21
    42 Fayetteville, NC      73.1
    129.0
    S
    20
    22
    43 Texarkana, TX-Texarkana, AR      73.0
    58.4
    S
    118
    23
    44 Oklahoma City, OK      72.9
    576.8
    L
    111
    9
    45 Greenville, NC      72.4
    77.2
    S
    -33
    24
    46 Fort Collins-Loveland, CO      72.3
    136.6
    S
    7
    25
    47 Midland, TX      72.0
    71.3
    S
    -46
    26
    48 Gainesville, GA      71.1
    76.9
    S
    -31
    27
    49 Auburn-Opelika, AL      71.1
    54.3
    S
    -44
    28
    50 Bakersfield, CA      71.1
    237.5
    M
    -12
    13
    51 Columbia, MO      70.7
    93.4
    S
    66
    29
    52 Lynchburg, VA      70.5
    109.3
    S
    14
    30
    53 Dubuque, IA      70.4
    55.4
    S
    57
    31
    54 Provo-Orem, UT      70.1
    188.2
    M
    -47
    14
    55 Portland-Vancouver-Beaverton, OR-WA      70.0
    1,020.8
    L
    1
    10
    56 Iowa City, IA      69.8
    90.9
    S
    18
    32
    57 Warner Robins, GA      69.4
    58.0
    S
    -33
    33
    58 Charleston-North Charleston-Summerville, SC      69.4
    295.5
    M
    -23
    15
    59 Rapid City, SD      69.4
    60.3
    S
    118
    34
    60 Amarillo, TX      69.4
    113.2
    S
    59
    35
    61 Wilmington, NC      69.1
    142.7
    S
    -55
    36
    62 Framingham, MA  NECTA Division      68.7
    159.5
    M
    116
    16
    63 St. Joseph, MO-KS      68.5
    58.9
    S
    -29
    37
    64 Rochester-Dover, NH-ME NECTA      68.2
    58.5
    S
    23
    38
    65 Des Moines-West Des Moines, IA      68.2
    321.9
    M
    2
    17
    66 Santa Fe, NM      68.2
    65.0
    S
    11
    39
    67 Billings, MT      68.0
    79.3
    S
    -36
    40
    68 Brownsville-Harlingen, TX      67.8
    125.3
    S
    66
    41
    69 Peoria, IL      67.6
    189.8
    M
    14
    18
    70 Grand Forks, ND-MN      67.2
    54.8
    S
    31
    42
    71 Fayetteville-Springdale-Rogers, AR-MO      67.1
    207.0
    M
    10
    19
    72 Omaha-Council Bluffs, NE-IA      66.8
    468.2
    L
    99
    11
    73 Savannah, GA      66.8
    157.6
    M
    -58
    20
    74 Lubbock, TX      66.7
    131.1
    S
    168
    43
    75 Bellingham, WA      66.6
    84.1
    S
    -57
    44
    76 Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Division      66.6
    2,424.3
    L
    38
    12
    77 Cedar Rapids, IA      66.4
    138.7
    S
    76
    45
    78 Pueblo, CO      66.2
    58.4
    S
    -8
    46
    79 Boulder, CO      65.9
    166.9
    M
    42
    21
    80 Sioux City, IA-NE-SD      65.8
    76.5
    S
    173
    47
    81 Tacoma, WA Metropolitan Division      65.8
    277.6
    M
    -67
    22
    82 Valdosta, GA      65.6
    56.5
    S
    27
    48
    83 Champaign-Urbana, IL      65.6
    116.3
    S
    184
    49
    84 Northern Virginia, VA      65.0
    1,305.5
    L
    8
    13
    85 Lafayette, IN      64.9
    96.6
    S
    202
    50
    86 Abilene, TX      64.7
    68.1
    S
    19
    51
    87 Fort Smith, AR-OK      64.2
    124.3
    S
    12
    52
    88 Wichita, KS      63.8
    311.0
    M
    5
    23
    89 Charlottesville, VA      63.8
    100.5
    S
    -49
    53
    90 Ithaca, NY      63.8
    64.7
    S
    77
    54
    91 Spokane, WA      63.7
    215.9
    M
    -36
    24
    92 York-Hanover, PA      63.7
    182.9
    M
    -3
    25
    93 Pascagoula, MS      63.0
    58.6
    S
    -29
    55
    94 Albuquerque, NM      63.0
    393.5
    M
    35
    26
    95 New York City, NY      62.3
    3,760.2
    L
    35
    14
    96 St. Cloud, MN      61.8
    102.0
    S
    -10
    56
    97 Bowling Green, KY      61.8
    61.4
    S
    -81
    57
    98 Oshkosh-Neenah, WI      61.5
    93.9
    S
    161
    58
    99 Hattiesburg, MS      61.4
    60.6
    S
    -34
    59
    100 Salem, OR      61.4
    150.1
    M
    -6
    27
    101 Ogden-Clearfield, UT      61.1
    198.0
    M
    -64
    28
    102 Springfield, MO      60.9
    197.6
    M
    -55
    29
    103 Waco, TX      60.4
    107.6
    S
    -21
    60
    104 Topeka, KS      60.1
    111.7
    S
    158
    61
    105 Davenport-Moline-Rock Island, IA-IL      60.0
    189.3
    M
    128
    30
    106 Little Rock-North Little Rock-Conway, AR      59.7
    344.5
    M
    -3
    31
    107 Greenville-Mauldin-Easley, SC      59.4
    314.7
    M
    -35
    32
    108 State College, PA      59.3
    74.2
    S
    46
    62
    109 Lincoln, NE      58.9
    172.4
    M
    61
    33
    110 Rochester, MN      58.8
    106.0
    S
    52
    63
    111 Flagstaff, AZ      58.8
    63.5
    S
    9
    64
    112 Tuscaloosa, AL      58.8
    96.8
    S
    -22
    65
    113 Denver-Aurora-Broomfield, CO      58.5
    1,228.0
    L
    -5
    15
    114 Charleston, WV      57.5
    151.5
    M
    166
    34
    115 La Crosse, WI-MN      57.2
    74.7
    S
    119
    66
    116 Columbia, SC      56.6
    362.1
    M
    -37
    35
    117 Bloomington-Normal, IL      56.5
    91.8
    S
    120
    67
    118 Boston-Cambridge-Quincy, MA NECTA Division      56.1
    1,696.4
    L
    77
    16
    119 Lake Charles, LA      55.9
    92.8
    S
    54
    68
    120 Spartanburg, SC      55.8
    128.0
    S
    136
    69
    121 Putnam-Rockland-Westchester, NY      55.7
    579.9
    L
    48
    17
    122 Springfield, IL      55.6
    111.9
    S
    159
    70
    123 Montgomery, AL      55.6
    176.9
    M
    -16
    36
    124 Waterloo-Cedar Falls, IA      55.6
    90.0
    S
    83
    71
    125 Charlotte-Gastonia-Concord, NC-SC      55.5
    841.5
    L
    -84
    18
    126 St. George, UT      55.3
    50.7
    S
    -124
    72
    127 Beaumont-Port Arthur, TX      55.2
    163.1
    M
    23
    37
    128 Manchester, NH NECTA      55.1
    101.6
    S
    37
    73
    129 Syracuse, NY      54.6
    325.0
    M
    121
    38
    130 Trenton-Ewing, NJ      54.4
    238.4
    M
    78
    39
    131 Gainesville, FL      54.1
    134.9
    S
    -7
    74
    132 Honolulu, HI      54.0
    451.5
    L
    -52
    19
    133 Visalia-Porterville, CA      53.7
    112.0
    S
    -1
    75
    134 San Jose-Sunnyvale-Santa Clara, CA      53.6
    902.9
    L
    47
    20
    135 Eau Claire, WI      53.3
    82.3
    S
    -8
    76
    136 Yakima, WA      53.3
    77.5
    S
    10
    77
    137 Rochester, NY      53.2
    518.1
    L
    156
    21
    138 Wheeling, WV-OH      53.2
    68.2
    S
    167
    78
    139 Jefferson City, MO      53.1
    79.5
    S
    29
    79
    140 Florence-Muscle Shoals, AL      52.9
    56.0
    S
    -140
    80
    141 Glens Falls, NY      52.7
    52.8
    S
    -18
    81
    142 Las Vegas-Paradise, NV      52.5
    894.9
    L
    -93
    22
    143 Blacksburg-Christiansburg-Radford, VA      52.3
    71.9
    S
    163
    82
    144 San Francisco-San Mateo-Redwood City, CA Metropolitan Division      51.6
    982.3
    L
    5
    23
    145 Bethesda-Frederick-Rockville, MD Metropolitan Division      51.5
    573.0
    L
    102
    24
    146 Portsmouth, NH-ME NECTA      51.5
    54.5
    S
    -24
    83
    147 Macon, GA      51.4
    101.3
    S
    154
    84
    148 Lake County-Kenosha County, IL-WI Metropolitan Division      51.1
    394.5
    M
    84
    40
    149 Erie, PA      50.6
    132.2
    S
    99
    85
    150 Panama City-Lynn Haven-Panama City Beach, FL      50.6
    73.1
    S
    -111
    86
    151 Allentown-Bethlehem-Easton, PA-NJ      50.5
    340.8
    M
    61
    41
    152 Santa Barbara-Santa Maria-Goleta, CA      50.1
    171.9
    M
    45
    42
    153 Nashville-Davidson–Murfreesboro–Franklin, TN      50.1
    748.6
    L
    -56
    25
    154 Orlando-Kissimmee, FL      49.8
    1,056.8
    L
    -109
    26
    155 Johnstown, PA      49.7
    61.5
    S
    65
    87
    156 Decatur, IL      49.5
    54.8
    S
    58
    88
    157 Huntington-Ashland, WV-KY-OH      49.4
    119.6
    S
    18
    89
    158 Madison, WI      49.2
    343.6
    M
    70
    43
    159 Harrisburg-Carlisle, PA      48.7
    327.1
    M
    85
    44
    160 Virginia Beach-Norfolk-Newport News, VA-NC      48.5
    760.9
    L
    33
    27
    161 Fresno, CA      48.4
    297.9
    M
    -2
    45
    162 Poughkeepsie-Newburgh-Middletown, NY      48.4
    254.8
    M
    116
    46
    163 Utica-Rome, NY      48.4
    132.6
    S
    105
    90
    164 Kansas City, MO      48.3
    564.1
    L
    30
    28
    165 Binghamton, NY      48.2
    114.1
    S
    78
    91
    166 New Haven, CT NECTA      48.0
    277.2
    M
    95
    47
    167 Augusta-Richmond County, GA-SC      47.9
    214.0
    M
    49
    48
    168 Asheville, NC      47.6
    172.3
    M
    -132
    49
    169 Pittsburgh, PA      47.6
    1,138.9
    L
    91
    29
    170 Bend, OR      47.6
    66.3
    S
    -161
    92
    171 Nashua, NH-MA  NECTA Division      47.5
    132.5
    S
    39
    93
    172 San Luis Obispo-Paso Robles, CA      47.4
    102.2
    S
    -25
    94
    173 Duluth, MN-WI      47.4
    131.3
    S
    25
    95
    174 Buffalo-Niagara Falls, NY      47.1
    548.3
    L
    117
    30
    175 Florence, SC      47.0
    87.5
    S
    -117
    96
    176 Philadelphia City, PA      46.6
    661.4
    L
    132
    31
    177 Albany-Schenectady-Troy, NY      46.5
    446.9
    M
    99
    50
    178 Columbus, OH      46.4
    933.5
    L
    21
    32
    179 St. Louis, MO-IL      46.3
    1,341.9
    L
    78
    33
    180 Nassau-Suffolk, NY Metropolitan Division      46.2
    1,255.5
    L
    22
    34
    181 Bangor, ME NECTA      46.1
    66.2
    S
    89
    97
    182 Lancaster, PA      46.1
    235.2
    M
    22
    51
    183 Kingsport-Bristol-Bristol, TN-VA      45.9
    121.7
    S
    106
    98
    184 Jackson, MS      45.7
    258.9
    M
    -10
    52
    185 Salinas, CA      45.6
    126.9
    S
    34
    99
    186 Gary, IN Metropolitan Division      45.4
    279.0
    M
    53
    53
    187 Haverhill-North Andover-Amesbury, MA-NH  NECTA Division      45.3
    76.6
    S
    68
    100
    188 Chattanooga, TN-GA      45.3
    244.3
    M
    21
    54
    189 Napa, CA      45.3
    62.4
    S
    -6
    101
    190 Colorado Springs, CO      45.1
    254.2
    M
    -39
    55
    191 Boise City-Nampa, ID      44.8
    261.6
    M
    -147
    56
    192 Winston-Salem, NC      44.8
    214.7
    M
    -66
    57
    193 Parkersburg-Marietta-Vienna, WV-OH      44.8
    72.8
    S
    -4
    102
    194 Lexington-Fayette, KY      44.8
    253.6
    M
    -42
    58
    195 Knoxville, TN      44.6
    330.1
    M
    -53
    59
    196 Roanoke, VA      44.5
    160.9
    M
    73
    60
    197 Indianapolis-Carmel, IN      44.3
    898.5
    L
    -64
    35
    198 Merced, CA      44.2
    57.2
    S
    -63
    103
    199 Hartford-West Hartford-East Hartford, CT NECTA      44.2
    552.7
    L
    1
    36
    200 Lakeland-Winter Haven, FL      44.1
    205.7
    M
    -20
    61
    201 Bloomington, IN      43.4
    83.5
    S
    20
    104
    202 Tallahassee, FL      42.9
    175.3
    M
    -63
    62
    203 Scranton–Wilkes-Barre, PA      42.8
    259.2
    M
    49
    63
    204 Louisville-Jefferson County, KY-IN      42.7
    611.0
    L
    -64
    37
    205 Sheboygan, WI      42.6
    62.5
    S
    67
    105
    206 Eugene-Springfield, OR      42.6
    151.7
    M
    -75
    64
    207 Cincinnati-Middletown, OH-KY-IN      42.5
    1,028.6
    L
    38
    38
    208 San Diego-Carlsbad-San Marcos, CA      42.4
    1,283.4
    L
    16
    39
    209 Wichita Falls, TX      42.4
    61.2
    S
    -17
    106
    210 Vineland-Millville-Bridgeton, NJ      42.4
    61.7
    S
    92
    107
    211 Johnson City, TN      42.4
    80.4
    S
    6
    108
    212 Green Bay, WI      42.0
    166.8
    M
    37
    65
    213 Decatur, AL      41.7
    57.4
    S
    -113
    109
    214 Jackson, TN      41.7
    60.6
    S
    -38
    110
    215 Anniston-Oxford, AL      41.7
    52.1
    S
    -33
    111
    216 Miami-Miami Beach-Kendall, FL Metropolitan Division      41.6
    1,039.3
    L
    -71
    40
    217 Atlanta-Sandy Springs-Marietta, GA      41.6
    2,374.1
    L
    -132
    41
    218 Richmond, VA      41.6
    616.9
    L
    -81
    42
    219 Reading, PA      41.5
    171.8
    M
    21
    66
    220 Ocala, FL      41.5
    101.2
    S
    -157
    112
    221 Portland-South Portland-Biddeford, ME NECTA      41.4
    192.4
    M
    6
    67
    222 Tucson, AZ      41.4
    374.1
    M
    -62
    68
    223 Phoenix-Mesa-Scottsdale, AZ      41.4
    1,813.1
    L
    -162
    43
    224 Columbus, GA-AL      41.2
    120.0
    S
    66
    113
    225 Akron, OH      41.2
    334.0
    M
    -7
    69
    226 Norwich-New London, CT-RI NECTA      41.2
    133.6
    S
    28
    114
    227 Jacksonville, FL      40.9
    609.9
    L
    -125
    44
    228 Worcester, MA-CT NECTA      40.7
    245.4
    M
    49
    70
    229 New Bedford, MA NECTA      40.6
    65.4
    S
    78
    115
    230 Myrtle Beach-North Myrtle Beach-Conway, SC      40.6
    112.5
    S
    -220
    116
    231 Dover, DE      40.5
    64.1
    S
    -106
    117
    232 Appleton, WI      39.9
    116.1
    S
    -1
    118
    233 Stockton, CA      39.6
    204.8
    M
    -127
    71
    234 New Orleans-Metairie-Kenner, LA      39.5
    528.9
    L
    -174
    45
    235 Fort Wayne, IN      39.5
    213.4
    M
    60
    72
    236 Calvert-Charles-Prince George’s, MD      39.5
    388.1
    M
    -49
    73
    237 Memphis, TN-MS-AR      39.2
    628.4
    L
    -41
    46
    238 Barnstable Town, MA NECTA      39.1
    93.7
    S
    59
    119
    239 Lowell-Billerica-Chelmsford, MA-NH  NECTA Division      39.0
    117.3
    S
    36
    120
    240 Bridgeport-Stamford-Norwalk, CT NECTA      39.0
    412.8
    M
    -27
    74
    241 Newark-Union, NJ-PA Metropolitan Division      38.5
    1,024.2
    L
    38
    47
    242 Minneapolis-St. Paul-Bloomington, MN-WI      38.3
    1,754.4
    L
    -6
    48
    243 Monroe, LA      38.2
    78.3
    S
    70
    121
    244 Birmingham-Hoover, AL      37.9
    518.7
    L
    -38
    49
    245 Springfield, MA-CT NECTA      37.9
    293.2
    M
    58
    75
    246 Bremerton-Silverdale, WA      37.9
    83.8
    S
    -131
    122
    247 Hagerstown-Martinsburg, MD-WV      37.6
    100.1
    S
    11
    123
    248 Medford, OR      37.6
    81.4
    S
    -172
    124
    249 Harrisonburg, VA      37.5
    62.8
    S
    -136
    125
    250 Springfield, OH      37.5
    52.0
    S
    79
    126
    251 Salisbury, MD      37.5
    54.2
    S
    -103
    127
    252 Prescott, AZ      37.3
    58.7
    S
    -226
    128
    253 Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metropolitan Division      37.2
    759.8
    L
    -109
    50
    254 Milwaukee-Waukesha-West Allis, WI      37.0
    837.3
    L
    9
    51
    255 Chicago-Naperville-Joliet, IL Metropolitan Division      37.0
    3,778.8
    L
    -14
    52
    256 Baltimore City, MD      36.8
    364.0
    M
    63
    76
    257 Niles-Benton Harbor, MI      36.5
    63.0
    S
    7
    129
    258 Bergen-Hudson-Passaic, NJ      36.5
    897.2
    L
    24
    53
    259 Racine, WI      36.4
    79.0
    S
    45
    130
    260 Albany, GA      36.2
    63.4
    S
    24
    131
    261 Peabody, MA  NECTA Division      36.1
    99.8
    S
    54
    132
    262 Rockford, IL      36.1
    156.4
    M
    -98
    77
    263 Clarksville, TN-KY      36.0
    82.3
    S
    -125
    133
    264 South Bend-Mishawaka, IN-MI      35.2
    142.1
    S
    28
    134
    265 Chico, CA      34.9
    73.5
    S
    -80
    135
    266 Yuma, AZ      34.9
    52.1
    S
    -233
    136
    267 Santa Cruz-Watsonville, CA      34.8
    91.8
    S
    -156
    137
    268 Altoona, PA      34.8
    61.1
    S
    -30
    138
    269 Edison-New Brunswick, NJ Metropolitan Division      34.4
    1,010.1
    L
    -43
    54
    270 Gulfport-Biloxi, MS      34.3
    107.6
    S
    -154
    139
    271 Dothan, AL      34.3
    61.0
    S
    -159
    140
    272 Wilmington, DE-MD-NJ Metropolitan Division      34.3
    345.4
    M
    -49
    78
    273 Lansing-East Lansing, MI      34.2
    223.0
    M
    43
    79
    274 Modesto, CA      34.1
    153.6
    M
    -28
    80
    275 Danbury, CT NECTA      33.9
    68.6
    S
    -45
    141
    276 Missoula, MT      33.9
    54.7
    S
    -110
    142
    277 Camden, NJ Metropolitan Division      32.9
    526.7
    L
    -55
    55
    278 Wausau, WI      32.8
    70.9
    S
    -12
    143
    279 Los Angeles-Long Beach-Glendale, CA Metropolitan Division      32.6
    4,008.1
    L
    -5
    56
    280 Evansville, IN-KY      32.5
    174.2
    M
    3
    81
    281 Kingston, NY      32.4
    62.3
    S
    5
    144
    282 Fort Walton Beach-Crestview-Destin, FL      31.9
    80.6
    S
    -103
    145
    283 Riverside-San Bernardino-Ontario, CA      31.5
    1,189.6
    L
    -147
    57
    284 Canton-Massillon, OH      31.3
    169.8
    M
    33
    82
    285 Tampa-St. Petersburg-Clearwater, FL      31.2
    1,206.6
    L
    -80
    58
    286 Burlington, NC      30.9
    59.3
    S
    -143
    146
    287 Terre Haute, IN      30.8
    72.7
    S
    37
    147
    288 Mansfield, OH      30.5
    56.5
    S
    42
    148
    289 Muncie, IN      30.3
    52.9
    S
    34
    149
    290 Port St. Lucie, FL      30.2
    124.8
    S
    -202
    150
    291 Cape Coral-Fort Myers, FL      29.8
    208.0
    M
    -134
    83
    292 Brockton-Bridgewater-Easton, MA  NECTA Division      29.4
    87.1
    S
    -41
    151
    293 Williamsport, PA      29.4
    52.7
    S
    3
    152
    294 Warren-Troy-Farmington Hills, MI Metropolitan Division      29.4
    1,093.9
    L
    26
    59
    295 Vallejo-Fairfield, CA      29.1
    122.5
    S
    4
    153
    296 Greensboro-High Point, NC      28.9
    358.0
    M
    -105
    84
    297 Sacramento–Arden-Arcade–Roseville, CA      28.8
    863.2
    L
    -111
    60
    298 Naples-Marco Island, FL      28.5
    124.0
    S
    -83
    154
    299 Winchester, VA-WV      28.5
    54.8
    S
    -226
    155
    300 Burlington-South Burlington, VT NECTA      28.2
    111.2
    S
    -29
    156
    301 West Palm Beach-Boca Raton-Boynton Beach, FL Metropolitan Division      28.2
    539.4
    L
    -100
    61
    302 Pensacola-Ferry Pass-Brent, FL      27.3
    164.6
    M
    -204
    85
    303 Kalamazoo-Portage, MI      27.3
    141.6
    S
    -9
    157
    304 Oakland-Fremont-Hayward, CA Metropolitan Division      27.1
    1,011.6
    L
    -19
    62
    305 Atlantic City-Hammonton, NJ      26.9
    144.3
    S
    13
    158
    306 Santa Ana-Anaheim-Irvine, CA Metropolitan Division      26.2
    1,453.0
    L
    -41
    63
    307 Rocky Mount, NC      25.0
    63.4
    S
    -82
    159
    308 Lima, OH      24.4
    54.0
    S
    19
    160
    309 Cleveland-Elyria-Mentor, OH      24.4
    1,033.7
    L
    5
    64
    310 Grand Rapids-Wyoming, MI      24.3
    376.2
    M
    -12
    86
    311 Oxnard-Thousand Oaks-Ventura, CA      23.9
    283.8
    M
    -11
    87
    312 Santa Rosa-Petaluma, CA      23.9
    182.2
    M
    -101
    88
    313 Deltona-Daytona Beach-Ormond Beach, FL      23.4
    162.8
    M
    -125
    89
    314 Reno-Sparks, NV      23.4
    206.4
    M
    -210
    90
    315 Lake Havasu City-Kingman, AZ      23.3
    48.9
    S
    -159
    161
    316 Janesville, WI      22.2
    66.3
    S
    -144
    162
    317 Waterbury, CT NECTA      22.0
    66.2
    S
    -29
    163
    318 Providence-Fall River-Warwick, RI-MA NECTA      21.7
    557.5
    L
    -7
    65
    319 Palm Bay-Melbourne-Titusville, FL      21.4
    202.2
    M
    -84
    91
    320 Anderson, SC      21.2
    61.2
    S
    -47
    164
    321 Youngstown-Warren-Boardman, OH-PA      20.7
    230.5
    M
    4
    92
    322 Ann Arbor, MI      20.5
    193.1
    M
    6
    93
    323 Dayton, OH      20.1
    388.8
    M
    8
    94
    324 Holland-Grand Haven, MI      20.1
    107.8
    S
    -3
    165
    325 Bradenton-Sarasota-Venice, FL      19.6
    262.4
    M
    -96
    95
    326 Muskegon-Norton Shores, MI      18.9
    61.9
    S
    -17
    166
    327 Hickory-Lenoir-Morganton, NC      17.0
    154.6
    M
    -17
    96
    328 Redding, CA      16.9
    60.6
    S
    -125
    167
    329 Elkhart-Goshen, IN      16.3
    111.7
    S
    -139
    168
    330 Dalton, GA      14.1
    71.6
    S
    -18
    169
    331 Battle Creek, MI      12.2
    56.6
    S
    3
    170
    332 Toledo, OH      11.8
    309.5
    M
    -10
    97
    333 Flint, MI      10.4
    139.3
    S
    -1
    171
    334 Saginaw-Saginaw Township North, MI         9.5
    85.2
    S
    -1
    172
    335 Detroit-Livonia-Dearborn, MI Metropolitan Division         8.9
    739.7
    L
    0
    66
    336 Jackson, MI         4.7
    55.9
    S
    -10
    173
  • 2009 How We Pick the Best Cities for Job Growth

    By Michael Shires

    This year’s rankings continue the methodology used last year, which emphasizes the robustness of a region’s growth and allows the rankings to include all of the metropolitan statistical areas for which the Bureau of Labor Statistics reports monthly employment data. They are derived from three-month rolling averages of U.S. Bureau of Labor Statistics “state and area” unadjusted employment data reported from November 1998 to January 2009.

    The data reflect the North American Industry Classification System categories, including total nonfarm employment, manufacturing, financial services, business and professional services, educational and health services, information, retail and wholesale trade, transportation and utilities, leisure and hospitality, and government.

    “Large” areas include those with a current nonfarm employment base of at least 450,000 jobs. “Midsize” areas range from 150,000 to 450,000 jobs. “Small” areas have as many as 150,000 jobs. One community in last year’s top small MSA group grew enough that they are now considered a midsize MSA: Charleston, WV.

    This year’s rankings use four measures of growth to rank all areas for which full data sets were available from the past 10 years — 336 regions in total. The Bureau of Labor Statistics, however, no longer reports employment detail for MSAs with employment levels less than 30,000 in its monthly models, resulting in shifts as MSAs were dropped. As a result, this year’s rankings can be directly compared to the 2008 rankings for MSAs for the large and midsize categories, but there are some adjustments needed for year-to-year comparisons in small MSA category. In instances where the analysis refers to changes in ranking order, these adjustments have been taken into account.

    The index is calculated from a normalized, weighted summary of: 1) recent growth trend: the current and prior year’s employment growth rates, with the current year emphasized (two points); 2) mid-term growth: the average annual 2003-2008 growth rate (two points); 3) long-term trend: the sum of the 2003-2008 and 1998-2002 employment growth rates multiplied by the ratio of the 1998-2002 growth rate over the 2003-2008 growth rate (two points); and 4) current year growth (one point).

  • Large Cities Ranking – 2009 New Geography Best Cities for Job Growth

    Read how we pick the best cities.

    2009
    Size
    Rank
    Area
    2009
    Weighted
    INDEX
    2008 Nonfarm Emplymt (1000s)
    Size 2009
    Size
    Movement
    Overall Rank 2009
    1 Austin-Round Rock, TX              87.7
    778.5
    L
    1
    6
    2 Houston-Sugar Land-Baytown, TX              85.4
    2,609.6
    L
    2
    9
    3 San Antonio, TX              82.0
    849.8
    L
    4
    20
    4 Fort Worth-Arlington, TX Metropolitan Division              78.3
    877.5
    L
    5
    30
    5 Dallas-Plano-Irving, TX Metropolitan Division              78.0
    2,102.1
    L
    7
    32
    6 Seattle-Bellevue-Everett, WA Metropolitan Division              77.2
    1,457.8
    L
    4
    34
    7 Salt Lake City, UT              76.5
    640.2
    L
    -4
    36
    8 Raleigh-Cary, NC              74.6
    513.5
    L
    -7
    38
    9 Oklahoma City, OK              72.9
    576.8
    L
    21
    44
    10 Portland-Vancouver-Beaverton, OR-WA              70.0
    1,020.8
    L
    1
    55
    11 Omaha-Council Bluffs, NE-IA              66.8
    468.2
    L
    21
    72
    12 Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Division              66.6
    2,424.3
    L
    9
    76
    13 Northern Virginia, VA              65.0
    1,305.5
    L
    4
    84
    14 New York City, NY              62.3
    3,760.2
    L
    8
    95
    15 Denver-Aurora-Broomfield, CO              58.5
    1,228.0
    L
    5
    113
    16 Boston-Cambridge-Quincy, MA NECTA Division              56.1
    1,696.4
    L
    21
    118
    17 Putnam-Rockland-Westchester, NY              55.7
    579.9
    L
    14
    121
    18 Charlotte-Gastonia-Concord, NC-SC              55.5
    841.5
    L
    -13
    125
    19 Honolulu, HI              54.0
    451.5
    L
    -4
    132
    20 San Jose-Sunnyvale-Santa Clara, CA              53.6
    902.9
    L
    13
    134
    21 Rochester, NY              53.2
    518.1
    L
    40
    137
    22 Las Vegas-Paradise, NV              52.5
    894.9
    L
    -14
    142
    23 San Francisco-San Mateo-Redwood City, CA Metropolitan Division              51.6
    982.3
    L
    6
    144
    24 Bethesda-Frederick-Rockville, MD Metropolitan Division              51.5
    573.0
    L
    27
    145
    25 Nashville-Davidson–Murfreesboro–Franklin, TN              50.1
    748.6
    L
    -7
    153
    26 Orlando-Kissimmee, FL              49.8
    1,056.8
    L
    -20
    154
    27 Virginia Beach-Norfolk-Newport News, VA-NC              48.5
    760.9
    L
    8
    160
    28 Kansas City, MO              48.3
    564.1
    L
    8
    164
    29 Pittsburgh, PA              47.6
    1,138.9
    L
    24
    169
    30 Buffalo-Niagara Falls, NY              47.1
    548.3
    L
    30
    174
    31 Philadelphia City, PA              46.6
    661.4
    L
    31
    176
    32 Columbus, OH              46.4
    933.5
    L
    7
    178
    33 St. Louis, MO-IL              46.3
    1,341.9
    L
    19
    179
    34 Nassau-Suffolk, NY Metropolitan Division              46.2
    1,255.5
    L
    8
    180
    35 Indianapolis-Carmel, IN              44.3
    898.5
    L
    -12
    197
    36 Hartford-West Hartford-East Hartford, CT NECTA              44.2
    552.7
    L
    4
    199
    37 Louisville-Jefferson County, KY-IN              42.7
    611.0
    L
    -11
    204
    38 Cincinnati-Middletown, OH-KY-IN              42.5
    1,028.6
    L
    12
    207
    39 San Diego-Carlsbad-San Marcos, CA              42.4
    1,283.4
    L
    7
    208
    40 Miami-Miami Beach-Kendall, FL Metropolitan Division              41.6
    1,039.3
    L
    -12
    216
    41 Atlanta-Sandy Springs-Marietta, GA              41.6
    2,374.1
    L
    -25
    217
    42 Richmond, VA              41.6
    616.9
    L
    -17
    218
    43 Phoenix-Mesa-Scottsdale, AZ              41.4
    1,813.1
    L
    -29
    223
    44 Jacksonville, FL              40.9
    609.9
    L
    -25
    227
    45 New Orleans-Metairie-Kenner, LA              39.5
    528.9
    L
    -32
    234
    46 Memphis, TN-MS-AR              39.2
    628.4
    L
    -8
    237
    47 Newark-Union, NJ-PA Metropolitan Division              38.5
    1,024.2
    L
    10
    241
    48 Minneapolis-St. Paul-Bloomington, MN-WI              38.3
    1,754.4
    L
    0
    242
    49 Birmingham-Hoover, AL              37.9
    518.7
    L
    -5
    244
    50 Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metropolitan Division              37.2
    759.8
    L
    -23
    253
    51 Milwaukee-Waukesha-West Allis, WI              37.0
    837.3
    L
    3
    254
    52 Chicago-Naperville-Joliet, IL Metropolitan Division              37.0
    3,778.8
    L
    -3
    255
    53 Bergen-Hudson-Passaic, NJ              36.5
    897.2
    L
    5
    258
    54 Edison-New Brunswick, NJ Metropolitan Division              34.4
    1,010.1
    L
    -7
    269
    55 Camden, NJ Metropolitan Division              32.9
    526.7
    L
    -10
    277
    56 Los Angeles-Long Beach-Glendale, CA Metropolitan Division              32.6
    4,008.1
    L
    0
    279
    57 Riverside-San Bernardino-Ontario, CA              31.5
    1,189.6
    L
    -33
    283
    58 Tampa-St. Petersburg-Clearwater, FL              31.2
    1,206.6
    L
    -15
    285
    59 Warren-Troy-Farmington Hills, MI Metropolitan Division              29.4
    1,093.9
    L
    6
    294
    60 Sacramento–Arden-Arcade–Roseville, CA              28.8
    863.2
    L
    -26
    297
    61 West Palm Beach-Boca Raton-Boynton Beach, FL Metropolitan Division              28.2
    539.4
    L
    -20
    301
    62 Oakland-Fremont-Hayward, CA Metropolitan Division              27.1
    1,011.6
    L
    -3
    304
    63 Santa Ana-Anaheim-Irvine, CA Metropolitan Division              26.2
    1,453.0
    L
    -8
    306
    64 Cleveland-Elyria-Mentor, OH              24.4
    1,033.7
    L
    0
    309
    65 Providence-Fall River-Warwick, RI-MA NECTA              21.7
    557.5
    L
    -2
    318
    66 Detroit-Livonia-Dearborn, MI Metropolitan Division                8.9
    739.7
    L
    0
    335
  • Medium Cities Ranking – 2009 New Geography Best Cities For Job Growth

    Read how we pick the best cities.

    2009
    Size
    Rank
    Area
    2009
    Weighted
    INDEX
    2008 Nonfarm Emplymt (1000s)
    Size 2009
    Size
    Movement
    Overall Rank 2009
    1 McAllen-Edinburg-Mission, TX                     87.6
    221.1
    M
    3
    7
    2 Tulsa, OK                     85.1
    436.6
    M
    36
    10
    3 Lafayette, LA                     84.1
    151.2
    M
    7
    14
    4 Durham-Chapel Hill, NC                     82.3
    291.0
    M
    7
    19
    5 Kansas City, KS                     81.1
    446.4
    M
    11
    22
    6 Corpus Christi, TX                     80.8
    182.8
    M
    28
    23
    7 Baton Rouge, LA                     79.2
    377.4
    M
    10
    27
    8 Shreveport-Bossier City, LA                     77.6
    180.1
    M
    14
    33
    9 Anchorage, AK                     76.7
    169.7
    M
    43
    35
    10 Mobile, AL                     74.7
    183.3
    M
    34
    37
    11 El Paso, TX                     74.6
    278.8
    M
    15
    39
    12 Huntsville, AL                     74.6
    211.6
    M
    -7
    40
    13 Bakersfield, CA                     71.1
    237.5
    M
    -4
    50
    14 Provo-Orem, UT                     70.1
    188.2
    M
    -13
    54
    15 Charleston-North Charleston-Summerville, SC                     69.4
    295.5
    M
    -9
    58
    16 Framingham, MA  NECTA Division                     68.7
    159.5
    M
    34
    62
    17 Des Moines-West Des Moines, IA                     68.2
    321.9
    M
    -2
    65
    18 Peoria, IL                     67.6
    189.8
    M
    3
    69
    19 Fayetteville-Springdale-Rogers, AR-MO                     67.1
    207.0
    M
    1
    71
    20 Savannah, GA                     66.8
    157.6
    M
    -17
    73
    21 Boulder, CO                     65.9
    166.9
    M
    11
    79
    22 Tacoma, WA Metropolitan Division                     65.8
    277.6
    M
    -20
    81
    23 Wichita, KS                     63.8
    311.0
    M
    1
    88
    24 Spokane, WA                     63.7
    215.9
    M
    -10
    91
    25 York-Hanover, PA                     63.7
    182.9
    M
    -2
    92
    26 Albuquerque, NM                     63.0
    393.5
    M
    9
    94
    27 Salem, OR                     61.4
    150.1
    M
    -2
    100
    28 Ogden-Clearfield, UT                     61.1
    198.0
    M
    -20
    101
    29 Springfield, MO                     60.9
    197.6
    M
    -16
    102
    30 Davenport-Moline-Rock Island, IA-IL                     60.0
    189.3
    M
    40
    105
    31 Little Rock-North Little Rock-Conway, AR                     59.7
    344.5
    M
    -3
    106
    32 Greenville-Mauldin-Easley, SC                     59.4
    314.7
    M
    -14
    107
    33 Lincoln, NE                     58.9
    172.4
    M
    15
    109
    34 Charleston, WV                     57.5
    151.5
    M
    106
    114
    35 Columbia, SC                     56.6
    362.1
    M
    -16
    116
    36 Montgomery, AL                     55.6
    176.9
    M
    -5
    123
    37 Beaumont-Port Arthur, TX                     55.2
    163.1
    M
    3
    127
    38 Syracuse, NY                     54.6
    325.0
    M
    39
    129
    39 Trenton-Ewing, NJ                     54.4
    238.4
    M
    19
    130
    40 Lake County-Kenosha County, IL-WI Metropolitan Division                     51.1
    394.5
    M
    29
    148
    41 Allentown-Bethlehem-Easton, PA-NJ                     50.5
    340.8
    M
    20
    151
    42 Santa Barbara-Santa Maria-Goleta, CA                     50.1
    171.9
    M
    14
    152
    43 Madison, WI                     49.2
    343.6
    M
    24
    158
    44 Harrisburg-Carlisle, PA                     48.7
    327.1
    M
    30
    159
    45 Fresno, CA                     48.4
    297.9
    M
    0
    161
    46 Poughkeepsie-Newburgh-Middletown, NY                     48.4
    254.8
    M
    37
    162
    47 New Haven, CT NECTA                     48.0
    277.2
    M
    32
    166
    48 Augusta-Richmond County, GA-SC                     47.9
    214.0
    M
    15
    167
    49 Asheville, NC                     47.6
    172.3
    M
    -42
    168
    50 Albany-Schenectady-Troy, NY                     46.5
    446.9
    M
    31
    177
    51 Lancaster, PA                     46.1
    235.2
    M
    6
    182
    52 Jackson, MS                     45.7
    258.9
    M
    -3
    184
    53 Gary, IN Metropolitan Division                     45.4
    279.0
    M
    19
    186
    54 Chattanooga, TN-GA                     45.3
    244.3
    M
    5
    188
    55 Colorado Springs, CO                     45.1
    254.2
    M
    -14
    190
    56 Boise City-Nampa, ID                     44.8
    261.6
    M
    -44
    191
    57 Winston-Salem, NC                     44.8
    214.7
    M
    -24
    192
    58 Lexington-Fayette, KY                     44.8
    253.6
    M
    -16
    194
    59 Knoxville, TN                     44.6
    330.1
    M
    -20
    195
    60 Roanoke, VA                     44.5
    160.9
    M
    20
    196
    61 Lakeland-Winter Haven, FL                     44.1
    205.7
    M
    -10
    200
    62 Tallahassee, FL                     42.9
    175.3
    M
    -25
    202
    63 Scranton–Wilkes-Barre, PA                     42.8
    259.2
    M
    15
    203
    64 Eugene-Springfield, OR                     42.6
    151.7
    M
    -28
    206
    65 Green Bay, WI                     42.0
    166.8
    M
    11
    212
    66 Reading, PA                     41.5
    171.8
    M
    7
    219
    67 Portland-South Portland-Biddeford, ME NECTA                     41.4
    192.4
    M
    -1
    221
    68 Tucson, AZ                     41.4
    374.1
    M
    -22
    222
    69 Akron, OH                     41.2
    334.0
    M
    -5
    225
    70 Worcester, MA-CT NECTA                     40.7
    245.4
    M
    12
    228
    71 Stockton, CA                     39.6
    204.8
    M
    -41
    233
    72 Fort Wayne, IN                     39.5
    213.4
    M
    13
    235
    73 Calvert-Charles-Prince George’s, MD                     39.5
    388.1
    M
    -20
    236
    74 Bridgeport-Stamford-Norwalk, CT NECTA                     39.0
    412.8
    M
    -12
    240
    75 Springfield, MA-CT NECTA                     37.9
    293.2
    M
    13
    245
    76 Baltimore City, MD                     36.8
    364.0
    M
    16
    256
    77 Rockford, IL                     36.1
    156.4
    M
    -30
    262
    78 Wilmington, DE-MD-NJ Metropolitan Division                     34.3
    345.4
    M
    -13
    272
    79 Lansing-East Lansing, MI                     34.2
    223.0
    M
    11
    273
    80 Modesto, CA                     34.1
    153.6
    M
    -5
    274
    81 Evansville, IN-KY                     32.5
    174.2
    M
    3
    280
    82 Canton-Massillon, OH                     31.3
    169.8
    M
    9
    284
    83 Cape Coral-Fort Myers, FL                     29.8
    208.0
    M
    -40
    291
    84 Greensboro-High Point, NC                     28.9
    358.0
    M
    -29
    296
    85 Pensacola-Ferry Pass-Brent, FL                     27.3
    164.6
    M
    -58
    302
    86 Grand Rapids-Wyoming, MI                     24.3
    376.2
    M
    0
    310
    87 Oxnard-Thousand Oaks-Ventura, CA                     23.9
    283.8
    M
    0
    311
    88 Santa Rosa-Petaluma, CA                     23.9
    182.2
    M
    -28
    312
    89 Deltona-Daytona Beach-Ormond Beach, FL                     23.4
    162.8
    M
    -35
    313
    90 Reno-Sparks, NV                     23.4
    206.4
    M
    -61
    314
    91 Palm Bay-Melbourne-Titusville, FL                     21.4
    202.2
    M
    -20
    319
    92 Youngstown-Warren-Boardman, OH-PA                     20.7
    230.5
    M
    2
    321
    93 Ann Arbor, MI                     20.5
    193.1
    M
    2
    322
    94 Dayton, OH                     20.1
    388.8
    M
    2
    323
    95 Bradenton-Sarasota-Venice, FL                     19.6
    262.4
    M
    -27
    325
    96 Hickory-Lenoir-Morganton, NC                     17.0
    154.6
    M
    -7
    327
    97 Toledo, OH                     11.8
    309.5
    M
    -4
    332