Tag: Best Cities

  • Move Over, San Francisco: Dallas Tops Our List Of The Best Cities For Jobs 2017

    Dallas is called the Big D for a reason. Bigger, better, best: that’s the Dallas mindset. From the gigantic Cowboys stadium in Arlington to the burgeoning northern suburbs to the posh arts district downtown, Dallasites are reinventing their metropolis almost daily. The proposed urban park along the Trinity River, my Dallas friends remind me, will be 11 times bigger than New York’s Central Park.

    Here’s something else for them to boast about: the Dallas-Plano-Irving metropolitan area ranks first this year on our list of the Best Cities For Jobs.

    2017 Best Cities Rankings Lists

    It’s a region that in many ways is the polar opposite of the San Francisco and San Jose metropolitan areas, which have dominated our ranking for the last few years. (They still place second and eighth this year, respectively, among the largest 70 metropolitan areas, though San Jose is down sharply from second place last year.)

    Unlike the tech-driven Bay Area, Dallas’ economy has multiple points of strength, including aerospace and defense, insurance, financial services, life sciences, data processing and transportation. Employment in the metro area has expanded 20.3% over the past five years and 4.2% last year, with robust job creation in professional and business services, as well as in a host of lower-paid sectors like retail, wholesale trade and hospitality.

    According to Southern Methodist University’s Klaus Desmet and Collin Clark, Dallas’s success stems in part from the fact that it isn’t looking to appeal to the elite “creative class,” but to middle-class workers and the companies and executives who employ them. Dallas attracts both foreign and domestic migrants, particularly from places like California, where housing is, on an income-adjusted basis, often three times as expensive. This has had much to do with the relocation to the area of such companies as Jacobs Engineering, Toyota, Liberty Mutual and State Farm.

    Methodology

    Our rankings are based on short-, medium- and long-term job creation, going back to 2005, and factor in momentum — whether growth is slowing or accelerating. We have compiled separate rankings for America’s 70 largest metropolitan statistical areas (those with nonfarm employment over 450,000), which are our focus this week, as well as medium-size metro areas (between 150,000 and 450,000 nonfarm jobs) and small ones (less than 150,000 nonfarm jobs) in order to make the comparisons more relevant to each category. (For a detailed description of our methodology, click here.)

    The Rise of Low-Cost Meccas

    Dallas is far bigger (particularly if you add the neighboring 28th-ranked Ft. Worth-Arlington area to the mix) than any of the other metro areas that have prospered by offering cheaper alternatives to coastal cities, with lower taxes and generally more friendly business climates. Among them is No. 3 Nashville-Davidson-Murfreesboro-Franklin, Tenn.

    The metro area has seen rapid job growth, nearly 20.6% since 2011. Last year job growth was across the board, including a 4.1% expansion in manufacturing employment, 5.2% in business professional services, and 2.9% in the information sector.

    Like Dallas, Nashville has become a mecca for companies looking to relocate operations. Some, like UBS, are fleeing the high cost of places like New York or London. Others, like Lyft, are escaping high costs in coastal California. CKE Restaurants, owner of Carl’s Junior and Hardees, is moving operations from coastal California and St. Louis to set up shop in Nashville. All are bringing a diverse new range of jobs to the Music City.

    Other low-cost migration meccas include fourth-place Charlotte-Concord, Gastonia, No. 5 Orlando-Kissimmee-Sanford, and No. 6 Salt Lake City. All boast growing tech centers with rapidly expanding STEM employment, as well as business and professional service growth.

    Boom Towns Get Pricier

    Some thriving metro areas on our list are becoming increasingly expensive, but they still don’t pack the tax and housing punch associated with blue state economies. No. 7 Austin-Round Rock, No. 9 Seattle-Bellevue-Everett and No. 11 Denver-Aurora-Lakewood have been big beneficiaries of the tech boom, and continue to attract migrants from areas like the Bay Area, where housing prices are still twice as high.

    It’s possible for older large cities with strongholds in key industries to generate strong job growth. New York’s population growth in 2016 may be half of what was in 2010, but financial sector job growth and associated professional service firms enable the Big Apple to rank a respectable 25th. Another high-cost area, Boston-Cambridge-Quincy, with its unparalleled concentration of elite colleges, ranks 30th.

    The picture is not so pretty in Los Angeles-Long Beach-Glendale, a region whose housing costs are almost as high as the Bay Area, with the same onerous state regulatory and tax burdens. It ranks 40th this year, with anemic 1.2% job growth in professional and business services over the past three years and 4% in financial services. The L.A. area continues to bleed manufacturing jobs, down 2.1% in the last year and 4.6% since 2013. Even retail and wholesale trade showed weakness in 2016, growing at a lowly 0.7% and 1.7% rate, respectively. The Information sector, highlighted by Snapchat’s splashy IPO, made the best showing for Tinseltown, with employment rising 4.2% in the last year. The sector, which includes entertainment, has seen employment expand an impressive 20.9% since the bottom of the recession in 2011.

    As has been the case almost every year in this millennium, the super-sized metro area doing worst is Chicago. It ranks 51st this year, down four places. Since the Great Recession, Chicago has managed modest job growth of 8.3%, and only a weak 0.7% expansion in 2016. Despite an uptick in financial services jobs over the past two years, and some ballyhooed relocations of corporate headquarters, the metro area has been losing jobs in information, manufacturing, and wholesale trade. Business services was up a scant 0.5% in the last year.

    Demographic Change and Changing Momentum

    The resurgence of expensive areas — notably New York and the San Francisco area — has been propelled largely by demographic trends, notably the movement of highly educated millennials to these areas. Yet as millennials begin to enter their 30s, and seek to buy homes and raise families, the momentum may be turning decisively to regions that are both less expensive but still have considerable appeal to educated workers. Most of the big gainers this year – Dallas, Orlando, Salt Lake, Raleigh, and No. 24 Indianapolis – have developed better inner-city amenities in recent years while keeping housing costs low.

    This shift is being driven in large part by unsustainable housing costs. In the Bay Area, techies are increasingly looking for jobs outside the tech hub, and some companies are even offering cash bonuses for those willing to leave. A recent poll indicated that 46% of Millennials want to leave the San Francisco Bay Area.

    It seems that some areas located in pro-business, low-tax states are increasingly attracting the educated millennials that we usually associate with places like San Francisco, Brooklyn or West L.A. Since 2010, among educated millennials, the fastest growth in migration has been to such lower-cost regions as Atlanta, Orlando, New Orleans, Houston, Dallas-Fort Worth.

    Over time, this migration could restructure the geography of job growth. As the middle class, particularly those of child-bearing age, continue moving out of states like California and into states like Texas. Utah or The Carolinas, the geography of skills changes. New families, a critical engine of job growth, are far more likely to form in Salt Lake City, the four large Texas metropolitan areas, or Atlanta, than in the bluest metropolitan areas like New York, Seattle, Los Angeles or San Francisco, where the number of school-age children trend well below the national average.

    Ultimately, we may be on the cusp of a new economic era in which the cost of housing and living becomes once again a key determinant in regional growth. This trend has been developing for years, but both demographics, notably the aging of millennials, and out of control costs could accelerate it. Many areas may wish to somehow emerge as “the new Silicon Valley,” just as they wished once to be the next “Wall Street” or “Hollywood.” Yet these iconic economies are difficult, to impossible, to duplicate. It might make more sense instead to look the success of places like Dallas — where lower costs are luring companies and talent at a level unrivaled in the nation.

    This piece originally appeared on 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 is The Human City: Urbanism for the rest of us. 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.

    Dr. Michael Shires primary areas of teaching and research include state, regional and local policy; technology and democracy; higher education policy; strategic, political and organizational issues in public policy; and quantitative analysis. He often serves as a consultant to local and state government on issues related to finance, education policy and governance. Dr. Shires has been quoted as an expert in various publications including USA TodayNewsweekThe EconomistThe Sacramento Bee, San Francisco Chronicle, and LA Times. He has also appeared as a guest commentator on CNN, KTLA and KCAL to name a few.

    Photo by Diann Bayes, obtained via Flickr using a CC License.

  • MoneySense Top 10 Best Places to Live in Canada in 2013

    Here we go again! Another ranking of the “best” places to live. I wonder how many of those there are.  They just pop up on your computer screen like unwanted ads. Perhaps there are so many “best” cities rankings that at some point most cities end up winning or being in the top 10. Mayors and chambers of commerce know it, just like car companies. If you don’t win the top prize you will simply pick a category and exploit it to death to sell your product. It could be safety, trunk size, fuel efficiency, resale value. In the case of cities, it can be average house price, commuting time, unemployment rate, safety and the pièce de resistance, the vaguest criteria of all, the one that makes rankings such subjective tool: amenities.

    What does it mean for MoneySense to be the best? A look at the methodology shows that the criteria are quite typical of most rankings: crime, amenities, commuting, heath, housing etc.  Also, the number of points given to each criterion varies from one to another and are totally based on the mood of those who design the ranking. If you think that dry weather is important then you will give it more points. If you dislike bike paths you give it less point. If professional sport teams seem unimportant, you simply don’t use it as a criterion.

    One big mistake that those guys do is to mess up distinctions between metropolitan areas and suburbs. Too often, they only include the boundaries of municipalities and break up larger cities into pieces even though they are really parts of greater metropolitan areas.  For example, The Greater Toronto Area (GTA) has close to 6 million residents. The Municipality (or City) of Toronto has about 2.5 million people. Mississauga, a populous suburb of the GTA, but has its own place  in the very same ranking. How can this be? This is major flaw, a very common one.

    So let’s take look at the ranking. We indicate when a city was part of a Census Metropolitan area):

    1. Calgary, Alberta
    2. St. Albert, Alberta ( a suburb of the Census Metropolitan Area of Edmonton)
    3. Burlington, Ontario (a suburb of the Census Metropolitan Are of Toronto)
    4. Strathcona County, Alberta ( a suburb of the Census Metropolitan Area of Edmonton)
    5. Oakville, Ontario (a suburb of the Census Metropolitan Are of Toronto)
    6. Ottawa, Ontario (Since all suburbs of Ottawa has been amalgamated it couldn’t be broken down like Edmonton or Toronto)
    7. Saanich, British Columbia ( a suburb of the Census Metropolitan Area of Victoria)
    8. Lacombe, Alberta ( a suburb of the Census Metropolitan Area of Edmonton)
    9. Lethbridge, Alberta
    10. Newmarket, Ontario (a suburb of the Census Metropolitan Are of Toronto)

    It would be hard to end up with a more flawed ranking. There is a mix of small cities (Lethbridge), the mid-size city of Ottawa, with suburbs that have been amalgamated into one unified City of Ottawa, without taking account that the Census Metropolitan Area includes the City of Gatineau, across the Ottawa River, in the Province of Québec. It is simply impossible to judge a suburb or a city that is part of a metropolitan area and ignore the fact that its amenities, transportation system, jobs, highways etc. are all linked. How would Mississauga’s economy perform if it wasn’t of Toronto, or its airport, (located in Mississauga!)? How would Ottawa do if they didn’t have its pool Gatineau and its pool of 75,000 civil servants living in its more affordable houses, commuting by across the Ottawa River by one of its 5 bridges?

    I am not pro-gentrification nor a big fan of downtown living, at least not until my kids will live at home. I myself live in an Ontario suburb of Ottawa, while commuting by train to Montreal a few times a month. However, I am fully aware that my suburb would not exist if not for downtown Ottawa. When 75% of the labour force living in my suburb commutes to downtown Ottawa each day to go to work, if the city had not been amalgamated in 2000, I would have laughed at any ranking that would have considered my suburb as a stand- alone city.

    Please guys, you do not rank cities like you rank sports teams.

  • Rating the Unaffordable: The Economist and Mercer

    An article by Carl Bialik in The Wall Street Journal questions the value of city livability ratings, such as lists produced by The Economist and Mercer. This issue has been raised on this site by Owen McShane.

    (1) The Wall Street Journal notes a lack of transparency in ratings. In the case of The Economist and Mercer, this starts with the very definition of “city.” They don’t say. In the case of New York, for example, is the city Manhattan?, the city of New York or the New York metropolitan area. The difference? Manhattan has fewer than 2,000,000 residents, the city about 8,000,000 and the metropolitan area about 20,000,000. That makes a difference. The same problem exists, to differing degrees in the other “cities,” whatever they are.

    (2) The first principle of livability is affordability. If you cannot afford to live in a city it cannot, by definition, be affordable.

    The Economist ranks Vancouver, Melbourne, Sydney, Perth, Adelaide and Auckland among its top 10 livable cities. In fact, in our 6th Annual International Housing Affordability Survey, these metropolitan areas rank among the 25 least affordable out of 272 metropolitan areas in six nations (the United States, the United Kingdom, Canada, Australia, Ireland and New Zealand). The Economist’s champion, Vancouver, is most unaffordable, with Sydney second most unaffordable. Mercer’s top 10 list also includes Vancouver, Auckland and Sydney.

    By contrast, the three fastest growing metropolitan areas with more than 5,000,000 population in the developed world, (Atlanta, Dallas-Fort Worth and Houston) have housing that is one-half to one-third as expensive relative to incomes (using the Median Multiple: the median house price divided by the median household income) as all of the “cities” noted above in the two lists.

    Purpose of the Lists: The purpose of these lists, for all their difficulties, is often missed. The Economist and Mercer do not rate livability for average people, but rather for international executives. Thus, the lists are best understood as rating cities for people with a lot of money and a big expense account. The lists may be useful if one is contemplating a move from Manhattan’s Upper East Side to London’s Mayfair.

    Unfortunately, The Economist and Mercer lists are often treated by the press as if they rate the quality of life for average citizens, which they most surely do not.

    The average Vancouverite does not live on English Bay, nor does the average Sydneysider have a view of the Harbour Bridge. Because of escalating house prices, they are far more likely to live in rental units, with the hope of home ownership having made impossibly expensive by rationing, through restrictive land use policies, of an intensity that not even OPEC would dare adopt.

  • Finding the Good in This Bad Time

    This year’s best places rankings held few great surprises. In a nation that shed nearly 6.7 million jobs since 2007, the winners were places that maintained or had limited employment declines. These places typically had high levels of government spending (including major military installation or large blocs of federal jobs) or major educational institutions. Nor was the continued importance of the energy economy surprising in a nation where a gallon of gas is still about $3 a gallon.

    Even including part of 2010, only 13 cities (out of 397) showed growth, reflecting the breadth and depth of the downturn. In an economy where the most promising statistic is a “limited” decline in the number of new job losses from month to month, where is the proverbial silver lining?

    It is found in two places: (1) areas that show some resilience in this dour economy; and (2) a newly retooled American economy positioned to compete more strongly in the future.

    Regions of Current Hope
    With disaster as a backdrop, the early signs of buoyancy in the economies of the Intermountain West, the Great Plains, and even parts of the Midwest are quite impressive. Many predicted these areas would mirror the collapse of their larger, high-growth counterparts in California, Florida, Arizona and Nevada. To the contrary, these relatively rural locations are emerging as beacons of hope.

    In the big cities, there have been across-the-board declines in most sectors led by the collapse of construction and financial services. Thousands of small businesses have disappeared in addition to huge layoffs by large employers. You see many “For lease” signs now at what were once your favorite shops and watering holes.

    In a business climate like this, a lot can be said for slow and steady. Comparatively, slower-growing cities across the middle parts of the country are recovering more easily and more quickly.

    Perhaps the most important lesson is that the economies of the future are not all about the “knowledge class” and that “too-good-to-be-true” high wage jobs may be just that. As seen in the dot-com bubble and in this real estate bubble, those fancy, high-wage finance and tech jobs are highly vulnerable to swings in the economy and high-paying construction jobs are only as good as the housing market.

    This is simply because markets eventually adjust. In the case of overheated stock and real estate markets, the losses are felt by the knowledge class, financiers and construction workers. In the case of manufacturing, as the price is bid up through labor costs, other places become more competitive.

    During volatile times, places with the broad-based growth strategies — like Texas and Utah — do best. Cities that are heavily dependent on a narrow set of industries leave themselves vulnerable, paying back the gains of good years in poor years.

    Part of the success of Texas is not just energy (as the modest performance of Midland and Odessa shows), but rather to the state’s adjustments to a past crisis, the savings and loan crisis of the 1980s. The state instituted new laws that imposed a range of disciplines on financial markets — such as limiting home equity lines — thereby minimizing the damage to the state’s economy as those markets went topsy-turvy.

    Regions of Future Hope
    There remains hope for the future in the story of this recession. One of the defining aspects of this recession was not just that certain sectors were hit hard, but that it was also broadly distributed across the economy. This pervasiveness extended deeply enough to cause every enterprise in America to seriously reconsider their business model and re-engineer how they served their customers.

    Consequently, the American economy is leaner and cleaner than it was three years ago. Businesses are more in touch with what makes them successful. While growth will be slower, it will be focused on areas that will bring about quick increases in productivity across the economy and bring new, real wealth to the local economies.

    Where will this happen most quickly? In those places where businesses survived best. Expect the Intermountain West and smaller manufacturing hubs across the United States to lead the charge (because of their lower costs), but large metros like Los Angeles, Chicago, Houston, Minneapolis, and Dallas, with their deep inventories of manufacturers and large labor pools, should see these returns before too long.

    Similar stories can be told for nearly every sector although the beneficiaries will be different. Much of the growth in information sector, for example, will continue to take place outside Silicon Valley. Business services will grow most rapidly where there is growth in business overall, initially outside the core hubs. Midsized and small communities will lead this recovery, and the big cities will eventually follow.

    Economies open to a wide array of occupations will do better than those that are less diversified. Places like Portland and Atlanta, so deeply focused on attracting high-wage, knowledge-based jobs are likely to miss out on the “basic” job growth that will fuel the first stage of the American recovery. Venture capital is still tight across the nation and capital markets are uncertain, especially with new government regulations up in the air. Consequently, high-end, white collar, and high tech jobs, with their insatiable need for investment capital, will develop more slowly. Even among the high-tech superstars, high profits will not lead to huge surges in hiring.

    Why Government Holds the Key
    Government’s actions over the next six to 12 months will define potential and the pace of this recovery. With an election looming, all sides will be jockeying for electoral advantages in November. They will cater legislation to many competing constituencies, fostering tremendous uncertainty in the private sector.

    One thing is certain, however. The current pace of government spending is unsustainable. Not even the US economy can support ongoing deficits in excess of $1.5 trillion per year. Either government spending must slow or someone must pay a lot more. The only alternative — high inflation — will have its own negative effect. One way or another some combination of the three MUST happen.

    Additionally, current regulatory initiatives will change the dynamics and employment patterns within some important sectors. Whether it is the complete restructuring of the health care industry (part of one of the only bright spots in the current economy), or the prospective new regulation in the financial services sector, potentially destabilizing change is coming.

    And the feds are not the only destabilizing government actors. California’s aggressive climate legislation, for example, and the mixed signals it is sending businesses across the state’s 28 MSAs will certainly shape their near and midterm economic futures.

    So what should the federal and state governments be doing at this time? Most importantly, they need to ensure stability: stable capital and lending markets, a consistent and stable tax code, focusing interventions on broad-based, low-shock actions, and developing a plan for moderating and containing the national deficits and mounting national debt. The key to continued prosperity in these times is a growing private job base, not a growing government sector.

    Moreover, government needs to learn the lessons of the private sector. Even as private firms retrench, governments at all levels need to reduce their cost structures. This is happening in many localities, at least on a temporary basis, as even unionized local employees are accepting wage and benefit reductions to retain jobs. Localities and states must recognize the true cost of the services they provide. They must either find consistent ways of providing funding for them, or eliminate them to preserve more critical services.

    Finally, public and private sectors alike must learn that this has been a transformational recession. Unlike downturns in the past, business and government cannot expect things will return to the way they were. Markets and banks will not be printing imaginary value increases in real property for consumers to spend any time soon and capital markets are cautious about financial good news,,preferring the old tried and true winners to novelties.

    Government and government employees are behind the curve understanding this transformation. Wage and benefit concessions given up during this recession are not likely to reappear. The concepts of furlough and unpaid time off are here to stay. Even as the private sector has been forced to reconsider its baseline practices, so, too, the political pressure now will be on government to retain savings obtained during the recession.

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

  • The Worst Cities For Jobs

    In this least good year in decades, someone has to sit at the bottom. For the most part, the denizens are made up of “usual suspects” from the long-devastated rust belt region around the Great Lakes. But as in last year’s survey, there’s also a fair-sized contingent of former hot spots that now seem to resemble something closer to black holes.

    Two sectors have particularly suffered worst from the recession, according to a recent study by the New America Foundation: construction, where employment has dropped by nearly 25%, and manufacturing, which has suffered a 15% decline. The decline in construction jobs has hit the Sunbelt states hardest; the manufacturing rollback has pummeled industrial areas such as the Great Lakes as well as large swaths of the more recently industrialized parts of the Southeast.

    Then there is California, a state that should be doing much better given its natural advantages and vast human capital but whose regions–with the exception of government-rich Hanford–share various degrees of distress. The bursting of the real estate bubble has hit the Golden State hard, but seeing so many poor performances in my adopted home state is distressing and points to much deeper problems. Rankings author Michael Shires, pointing to the looming prospect of high taxes and expanding regulation, notes that “While California’s economy has come roaring back many times before, a resurgence this time will be slowed by the state’s increasing willingness to aggressively tax and regulate those who will make it happen.”

    Rust Belt Ruins

    The traditional manufacturing heartland long has suffered, and in this recession industrial jobs have declined rapidly and only now seem to be slowly expanding. Ever since we started these surveys back in the early 2000s, cities and towns along the rust belt have inhabited the bottom rungs.

    Starting up from the last place finisher, No. 397 Warren-Troy, Mich., these old industrial cities dominate the nether regions; of the bottom ten finishers overall, six come from the Wolverine State, including long-suffering Detroit, which ranks 394th overall and 65th on the list of large metros (next to its neighbor, Flint, in last place). Other rust belt bottom-dwellers include No. 395 Elkhart and No. 392 Kokomo in nearby Indiana.

    Perhaps more disturbingly, many of those at the bottom come from what used to be called “the new South,” cities that industrialized late and often benefited from the flow of jobs from the old rust belt. Places such as No. 396 Morristown, Tenn., No. 390 Dalton, Ga., and No. 389 Hickory-Lenoir-Morganton, N.C., have suffered from a recession that has either forced companies to shut down or move overseas.

    Sun Belt Busts

    Ever since the collapse of the housing bubble in 2007, we have seen a remarkable turnaround in many Sunbelt regions. Traditionally, these led the list as emerging boomtowns. Now many appear more like bust-towns.

    Take a look at the rapid decline of such hot spots as Las Vegas, which now ranks 57th out of the 66 largest metros in the country; Phoenix, now lurking at No. 51; and No. 61 West Palm Beach, No. 56 Fort Lauderdale, No. 54 Tampa and No. 45 Miami, all in Florida. Many of these cities stood proudly near the top of the list as recently as three years ago. Perhaps nothing illustrates the reversal of fortunes than the fall of Reno, once our fastest-growing mid-size region, now No. 92 in the same category.

    California: The Great Disaster

    No state has suffered a greater reversal of fortunes than California. Five or six years ago California regions generally inhabited the top half or third of our lists. Today they generally have fallen even faster than the other Sunbelt states, even though the state’s economy boasts many assets beyond merely real estate speculation.

    California now accounts for a remarkable 7 of the bottom 20 regions on our big metro list. The diversity of the disaster spans both the urban centers and the exurbs–witness exurban Riverside-San Bernardino at No. 63 and the city of Oakland at No. 62. Historic high-flyers No. 59 Los Angeles and neighboring Santa Ana-Anaheim Irvine, which checks in at an abysmal No. 60, didn’t fare much better.

    Perhaps more shocking is the poor performance handed in by the state capital, Sacramento, a former high-flyer now mired at No. 54, and San Diego, a high-tech haven with a near-perfect climate, that resides at No. 48. Even No. 47 San Jose/Silicon Valley has done poorly, despite all the consistent hype about the world class tech center. The likes of Steve Jobs of Apple and Eric Schmidt at Google may be minting money, but the region, paced by declines in construction, manufacturing and business services, now has 130,000 fewer jobs than a decade ago. San Francisco does not do much better, clocking in No. 42, just ahead of its equally celebrated alter-ego Portland, Ore.

    Prognosis From the Emergency Room

    If this list tells us the current occupants of intensive care, what then are the prognoses for recovery? It seems the story differs for each of our three basic categories. For the rust belt cities, relief will only come when the country decides to reprioritize industry, while allowing for the restructuring of firms and contracts. On the bright side is the recovery of Ford and the potential for a second life for a greatly reduced General Motors and even Chrysler. A modest surge in production of these firms and related industries, such as steel and electronics, could help some selected regions rise up from the bottom.

    The recovery of the Sunbelt economies seems likely to take hold first. Despite the giddy predictions of East Coast pundits that places like Las Vegas, Phoenix, Orlando and Tampa are doomed to what Leon Trotsky allegedly described as the “dustbin of history,” this is not the first time these areas have suffered a setback. They have still not shown much life yet, but I would not count them out for the long term. There is a lot to be said for a sunny climate, greatly enhanced affordability and what many see as a high quality of life.

    Ultimately, notes Rob Lang, director of Brookings Mountain West and professor of sociology at the University of Nevada-Las Vegas, the assets of these regions have either not changed–pro-business administrations and warm weather–or, in the case of housing affordability, have become more attractive. “Phoenix and Las Vegas will be fine,” Lang predicts, noting that Las Vegas is working to reinvent itself beyond gaming to becoming a “convening capital” for the world economy. Similar dynamics could also boost cities in Florida, particularly if they begin focusing beyond tourism and housing.

    And then there is California, which by all rights should be leading, not lagging, the current recovery. Statewide unemployment, already 12.6%, has been rising while most states have experienced a slight drop. Silicon Valley companies, Hollywood and the basic agricultural base of the state remain world-beaters. But the problem lies largely in an extremely complex regulatory regime that leads companies to shift much of their new production and staffing to other states as well as foreign countries. The constant prospect of a state bankruptcy, in large part due to soaring public employee pension obligations, does not do much to inspire confidence among either local entrepreneurs or investors.

    Hopefully this will be the year when Californians decide that it needs an economy that provides opportunities to people other than software billionaires, movie moguls and their servants. It will have to include much more than the endlessly hyped, highly subsidized “green jobs.” More than anything, it will take rolling back some of the draconian regulations–particularly around climate-change legislation–that force companies, and jobs, to go to places that, while not as intrinsically attractive, are friendlier to job-creating businesses.

    This article originally appeared at Forbes.com.

    Joel Kotkin is executive editor of NewGeography.com and is a distinguished presidential fellow in urban futures at Chapman University. He is author of The City: A Global History. His newest book is The Next Hundred Million: America in 2050, released in Febuary, 2010.

    Photo: JSFauxtaugraphy

  • The Best Cities For Jobs

    This year’s “best places for jobs” list is easily the most depressing since we began compiling our annual rankings almost a decade ago. In the past–even in bad years–there were always stalwart areas creating lots of new jobs. In 2007’s survey 283 out of 393 metros areas showed job growth, and those at the top were often growing employment by at least 5% to 6%. Last year the number dropped to 63. This year’s survey, measuring growth from January 2009 to January 2010, found only 13 metros with any growth.

    Mike Shires at the Pepperdine School of Public Policy, who develops the survey, calls it “an awful year.” Making it even worse, the source of new jobs in almost all areas were either government employment or highly tax payer-funded sectors like education and health. This year’s best-performing regions were those that suffered the smallest losses in the private economy while bulking up on government steroids.

    So far the recovery has favored the government-dominated apparat and those places where public workers congregate.After all, besides Wall Street, public-financed workers have been the big beneficiaries of the stimulus, with state and local governments receiving more than one-third of all funds. Public employment grew by nearly 2% over the past three years, while private employment has dropped by 7%.

    Private sector workers have also seen their wages decline, while those working for the various levels of government have held their own. Federal workers now enjoy an average salary roughly 10% higher than their private sector counterparts, while their health, pension and other benefits are as much as four times higher.

    Not surprisingly government workers, according to a recent survey, are more likely to see the economy improving than those engaged in the private sector. It’s not so pretty a picture on Main Street; personal bankruptcy filings rose 23% in the year ending in March.

    Small Is Still Beautiful

    Despite these differences, some patterns from previous years still persist. The most prominent is the almost total domination of the top overall rankings by smaller communities. With the exception of Austin, Texas, all the top 10 growers–and all the net gainers–were small communities. Americans have been moving to smaller towns and cities for much of the past decade, as well as jobs, and this recession may end up accelerating the trend.

    At the top of the list stands No. 1 Jacksonville, N.C., whose economy grew 1.4%, paced by 3.3% growth in government jobs. Fast growth, however, is not a stranger to this Southern community, whose employment base has grown 22.8% since 1998. The area includes the massive Marine Base at Camp Lejeune, a beehive of activity since the U.S. started waging two wars in Afghanistan and Iraq. Fort Hood-Temple-Fort Hood in Texas came in fourth place overall with Fayetteville, N.C., home to the Army’s Fort Bragg, placing sixth and Lawton, Okla., home of Fort Sill, close behind at No. 7. Similar explanations can apply to war economy hot spots Fort Stewart (No. 20 overall) and Warner Robbins (No. 26), both in Georgia.

    But perhaps nothing captures the current zeitgeist more than the presence, at No. 23, of Hanford-Corcoran, Calif. A large Air Force base and a state prison have bolstered Hanford-Corcoran’s economy, which shows that even in the Golden State–an economic basket case whose unemployment keeps rising–a large concentration of government jobs still guarantees some degree of growth.

    Not all our top-ranked small stars got their stimulus from Uncle Sam. Energy-related growth explains strong performances from Bismarck and ag-rich Fargo, N.D., at Nos. 2 and 8, respectively. You can also credit some energy-related growth to the high standing of Morgantown, W.Va., (No. 17) and Anchorage, Alaska, (No. 18), which have benefited from consistently high prices of oil and other sources of energy.

    Texas at the Top of Big Cities

    Our list of best places among big cities is dominated this year, as last, by Texas, with the Lone Star State producing fully half of our top 10. This year, like last, the No. 1 big city (those with a more than 450,000 non-farm jobs) was Austin, Texas, which enjoys the benefits of being both the state capital and the home to the University of Texas, as well as a large, and growing, tech sector.

    But the Texas story also includes places that do not enjoy Austin’s often overwrought “hip and cool” image. Broad-based economies, partly in energy, have paced the growth of No. 2 San Antonio, No. 3 Houston, No. 5 Dallas and No. 7 Fort Worth. Other consistent big-city Southern performers include No. 8 big metro Raleigh-Cary, N.C., as well as two ascendant Great Plains metropolises, No. 9 Omaha and No. 11 Oklahoma City. None of these places were too hard-hit by the mortgage meltdown, and they all have retained reputations as business-friendly areas.

    The other big winner among the large areas is an obvious one: No. 6 ranked greater Washington, D.C. While most American communities suffer, our putative Moscow on the Potomac has emerged as the big winner under Barack Obama and the congressional centralizers. Remarkably, federal employment in the area has grown at a smart pace throughout the recession. One partial result: Washington office space is now–for the first time ever–more expensive than that in Manhattan. Northern Virginia, home to many beltway bandit companies, ranks No. 4 on our list.

    The Eds and Meds Economy

    With the productive economy outside energy only now getting its footing, the biggest relative winners have been what could be called the “eds and meds” economies. This includes de-industrialized places such as Pittsburgh (ranked a surprising No. 13), Rochester, N.Y., (ranked No. 17) and Buffalo, N.Y. (No. 20). If you have few more factory jobs to lose, little in-migration and a huge collection of institutions relatively immune to the economic turndown, you have a better chance to look good in bad times. The stimulus tilted more toward education and health than to construction and infrastructure, something that has worked to the favor of these cities.

    We can see this in New York City, whose huge and growing concentration of colleges and hospitals helped propel it to No. 10 among the big regions, its best ranking ever, despite losing almost 130,000 jobs. This is all the more remarkable since the Big Apple was the epicenter of the financial collapse, although that also made it the prime beneficiary of the federal bailout and Wall Street’s boom. Soaring salaries for hedge fund managers and new hires at financial firms could be pacing new growth in the city’s elaborate service industry, from toenail painters, restaurateurs and psychologists to dog walkers and yoga instructors.

    The health of the eds and meds economy, however, has even been enough to lift some traditional bottom-dwelling sad sacks, such as No. 14’s Philadelphia, to unfamiliar, if rather relative, heights. With private-sector growth weak everywhere, cities with lots of big hospitals, universities and nonprofit foundations look better for the time being than they have in a generation.

    The Road Ahead

    We expect our list to change next year, but how it will do so will depend as much on politics as economics. The current policy approaches–with healthy increases in government employment and strong support for education–have worked relatively well for taxpayer-financed economies including those with a strong “eds and meds” sectors. State universities, now confronted with the real pain of the recession felt by state taxpayers, are already crying for heavy increases in federal support.

    But if Congress takes a turn to the center, or even right, after November, the advantageous position of the favored government-supported sectors may erode. Particularly vulnerable will be state workers, whose current federally sanctioned reprieve could be terminated if voters force legislators to start addressing concerns over the huge governmental deficits both locally and nationally. Given D.C.’s unique ability to print money, Washington and its environs will likely continue to expand, as they did under the spendthrift Bush regime, but many state and local governments may be forced onto a stringent diet.

    On the other hand, a welcome return to basic growth in overall economy would further boost those relatively low-cost areas–notably in Texas, the Great Plains and the Intermountain West–that have in recent years enjoyed the strongest trajectory in the non-government related sectors, including natural resource-based industries . These places have pro-business regulatory and tax regimes, lots of available land and affordable housing, which will attract new businesses and workers to their areas.

    This change could also benefit some places, such as Silicon Valley, parts of Southern California and the Pacific Northwest, which despite high costs still retain globally competitive, tech-related sectors. A resurgent job market in these areas would erase the current apparent advantage enjoyed by “eds and meds” based economies in favor of those places that will serve as the real incubators for a revived private sector economy. With the resumption growth, hopefully, our economy next year will begin resembling the more capitalist, competitive one we have enjoyed in the past.

    This article originally appeared at Forbes.com.

    Joel Kotkin is executive editor of NewGeography.com and is a distinguished presidential fellow in urban futures at Chapman University. He is author of The City: A Global History. His newest book is The Next Hundred Million: America in 2050, released in Febuary, 2010.

    Photo: kiril106

  • 2010 How We Pick the Best Cities For Job Growth


    By Michael Shires

    The methodology for the 2010 rankings largely corresponds to that used last year, which emphasizes the robustness of a region’s growth both recently and over time. It allows the rankings to include all of the metropolitan statistical areas (MSAs) 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 1999 to January 2010.

    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. Because of the significant declines in employment across the nation which caused some MSAs to drop below the 450,000 and 150,000 job thresholds, the size category for each MSA in the 2010 ranking is kept the same as it was in 2009 to maximize comparability between the rankings.

    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. Because of the expanded availability of data since last year, we were able to include another 61 small MSAs in this year’s rankings for a total of 397 regions. As a result, this year’s rankings can be directly compared to the 2009 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 are made accordingly.

    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 2004-2009 growth rate (two points); 3) long-term trend and momentum: the sum of the 2004-2009 and 1999-2003 employment growth rates multiplied by the ratio of the 1999-2003 growth rate over the 2004-2009 growth rate (two points); and 4) current year growth (one point).

  • Small Cities Rankings – 2010 Best Cities for Job Growth

    Read how we pick the best cities.

    Size Rank 2010  Area
    2010 Weighted INDEX
    2009 Nonfarm Emplmnt (1000s)
    Size Rank Change 2010
    1 Jacksonville, NC
    99.8
    48.2
    2 Bismarck, ND
    95.1
    62.0
    12
    3 College Station-Bryan, TX
    94.8
    98.2
    9
    4 Killeen-Temple-Fort Hood, TX
    92.7
    125.9
    2
    5 St. Joseph, MO-KS
    92.0
    59.1
    33
    6 Fayetteville, NC
    91.9
    129.7
    17
    7 Lawton, OK
    91.2
    43.9
    8 Fargo, ND-MN
    90.8
    121.5
    4
    9 Yakima, WA
    84.9
    77.3
    70
    10 Bloomington, IN
    84.9
    84.8
    96
    11 Hattiesburg, MS
    83.6
    59.5
    50
    12 Kennewick-Pasco-Richland, WA
    82.1
    95.9
    -2
    13 Morgantown, WV
    81.7
    63.5
    -2
    14 Hinesville-Fort Stewart, GA
    81.0
    19.5
    15 Great Falls, MT
    80.9
    35.0
    16 Hanford-Corcoran, CA
    80.0
    36.8
    17 Ithaca, NY
    79.9
    64.7
    42
    18 Warner Robins, GA
    79.8
    58.8
    20
    19 Iowa City, IA
    79.0
    90.2
    18
    20 State College, PA
    78.6
    74.2
    47
    21 Pascagoula, MS
    77.8
    57.3
    39
    22 Brownsville-Harlingen, TX
    77.7
    124.1
    24
    23 Columbia, MO
    77.5
    91.5
    11
    24 Las Cruces, NM
    77.2
    67.9
    1
    25 Pueblo, CO
    77.2
    56.9
    26
    26 Wenatchee-East Wenatchee, WA
    76.9
    38.3
    27 Grand Forks, ND-MN
    76.4
    53.7
    21
    28 Lubbock, TX
    76.1
    129.3
    21
    29 Kankakee-Bradley, IL
    76.1
    43.5
    30 Waco, TX
    76.0
    106.1
    37
    31 Fairbanks, AK
    75.9
    36.7
    32 Jonesboro, AR
    75.8
    48.7
    33 Cheyenne, WY
    75.6
    43.7
    -9
    34 Cedar Rapids, IA
    75.3
    135.9
    20
    35 Glens Falls, NY
    75.2
    52.6
    55
    36 Sioux Falls, SD
    75.0
    132.4
    -10
    37 Greenville, NC
    74.5
    74.9
    -4
    38 Rapid City, SD
    73.8
    58.9
    5
    39 Amarillo, TX
    73.6
    109.7
    5
    40 Cape Girardeau-Jackson, MO-IL
    72.5
    44.5
    41 Lawrence, KS
    72.4
    51.9
    42 Springfield, IL
    72.2
    109.7
    39
    43 Portsmouth, NH-ME NECTA
    72.2
    53.6
    51
    44 Billings, MT
    72.0
    78.4
    7
    45 Midland, TX
    71.7
    64.6
    -8
    46 Alexandria, LA
    71.5
    64.3
    -21
    47 Abilene, TX
    71.4
    65.2
    15
    48 Haverhill-North Andover-Amesbury, MA-NH  NECTA Division
    71.3
    75.4
    63
    49 Tyler, TX
    70.7
    92.7
    -19
    50 Fort Collins-Loveland, CO
    70.3
    131.9
    -14
    51 Harrisonburg, VA
    70.2
    62.0
    85
    52 Olympia, WA
    69.8
    99.1
    -25
    53 Rochester, MN
    69.6
    103.0
    21
    54 St. Cloud, MN
    69.5
    98.6
    13
    55 Texarkana, TX-Texarkana, AR
    69.1
    56.1
    -21
    56 Madera-Chowchilla, CA
    68.8
    33.7
    57 Florence-Muscle Shoals, AL
    68.7
    54.5
    35
    58 Auburn-Opelika, AL
    68.6
    52.2
    -18
    59 Wheeling, WV-OH
    67.8
    66.6
    31
    60 Utica-Rome, NY
    67.8
    131.0
    42
    61 Jefferson City, MO
    67.7
    77.8
    30
    62 Charlottesville, VA
    67.6
    98.0
    3
    63 San Angelo, TX
    67.5
    43.8
    64 Bloomington-Normal, IL
    67.4
    88.5
    16
    65 Odessa, TX
    67.2
    57.7
    -51
    66 Waterloo-Cedar Falls, IA
    67.1
    88.0
    18
    67 Panama City-Lynn Haven-Panama City Beach, FL
    66.7
    71.0
    32
    68 Dubuque, IA
    66.6
    53.7
    -24
    69 Athens-Clarke County, GA
    66.6
    80.8
    -49
    70 Laredo, TX
    66.6
    86.8
    -51
    71 Manchester, NH NECTA
    66.5
    98.5
    15
    72 Ames, IA
    66.4
    47.0
    73 Houma-Bayou Cane-Thibodaux, LA
    66.1
    91.6
    -55
    74 Sioux City, IA-NE-SD
    65.8
    73.1
    -13
    75 Flagstaff, AZ
    65.8
    61.8
    3
    76 Wilmington, NC
    65.4
    136.6
    -26
    77 Elizabethtown, KY
    65.3
    46.1
    78 Joplin, MO
    65.1
    77.7
    -42
    79 Lebanon, PA
    65.0
    48.1
    80 Coeur d’Alene, ID
    64.7
    53.0
    -52
    81 Logan, UT-ID
    64.5
    52.5
    82 Barnstable Town, MA NECTA
    64.3
    92.0
    54
    83 Altoona, PA
    64.1
    60.3
    72
    84 Bangor, ME NECTA
    63.6
    64.9
    30
    85 Bremerton-Silverdale, WA
    63.4
    82.9
    54
    86 Clarksville, TN-KY
    63.2
    81.0
    64
    87 Tuscaloosa, AL
    62.9
    93.1
    -5
    88 Cumberland, MD-WV
    62.7
    38.7
    89 Johnstown, PA
    62.6
    59.7
    16
    90 Ocean City, NJ
    62.3
    35.8
    91 El Centro, CA
    61.6
    44.6
    92 New Bedford, MA NECTA
    61.5
    63.7
    43
    93 Topeka, KS
    61.2
    107.8
    -12
    94 Longview, TX
    61.0
    93.3
    -71
    95 Columbus, GA-AL
    60.4
    116.8
    38
    96 Oshkosh-Neenah, WI
    59.9
    90.0
    -18
    97 Owensboro, KY
    59.5
    49.1
    98 Idaho Falls, ID
    58.5
    48.3
    99 Binghamton, NY
    57.6
    109.8
    14
    100 Norwich-New London, CT-RI NECTA
    57.4
    130.4
    36
    101 Lynchburg, VA
    57.4
    104.5
    -49
    102 Goldsboro, NC
    57.0
    43.2
    103 La Crosse, WI-MN
    56.9
    71.8
    -14
    104 Huntington-Ashland, WV-KY-OH
    56.7
    115.5
    8
    105 Missoula, MT
    56.7
    54.1
    60
    106 Sherman-Denison, TX
    56.3
    42.2
    107 Hot Springs, AR
    56.2
    36.5
    108 Blacksburg-Christiansburg-Radford, VA
    56.1
    68.8
    -1
    109 Crestview-Fort Walton Beach-Destin, FL
    55.8
    78.0
    61
    110 Kingston, NY
    55.8
    60.5
    59
    111 Dover, DE
    55.8
    62.6
    31
    112 Gainesville, FL
    55.3
    128.3
    -13
    113 Palm Coast, FL
    55.2
    17.9
    114 Monroe, LA
    55.0
    75.7
    33
    115 Rochester-Dover, NH-ME NECTA
    54.9
    55.5
    -51
    116 Vineland-Millville-Bridgeton, NJ
    54.7
    60.0
    17
    117 Eau Claire, WI
    54.4
    78.2
    -15
    118 Champaign-Urbana, IL
    54.1
    109.0
    -43
    119 Mankato-North Mankato, MN
    53.9
    51.5
    120 Anderson, IN
    53.8
    40.8
    121 Lewiston-Auburn, ME NECTA
    53.5
    47.2
    122 Lewiston, ID-WA
    53.2
    25.9
    123 Santa Fe, NM
    53.1
    60.6
    -54
    124 Gulfport-Biloxi, MS
    52.9
    106.2
    45
    125 Burlington-South Burlington, VT NECTA
    52.6
    109.9
    61
    126 Parkersburg-Marietta-Vienna, WV-OH
    52.1
    70.0
    6
    127 Casper, WY
    51.9
    37.9
    128 Myrtle Beach-North Myrtle Beach-Conway, SC
    51.9
    108.4
    19
    129 Brockton-Bridgewater-Easton, MA  NECTA Division
    51.6
    85.7
    53
    130 Greeley, CO
    51.4
    77.0
    -81
    131 Williamsport, PA
    51.4
    51.8
    52
    132 Sandusky, OH
    51.0
    34.2
    133 Lake Charles, LA
    50.9
    88.6
    -33
    134 Appleton, WI
    50.7
    113.3
    16
    135 Albany, GA
    50.3
    61.5
    28
    136 Pine Bluff, AR
    49.7
    37.4
    137 Elmira, NY
    49.2
    39.1
    138 Duluth, MN-WI
    49.1
    125.8
    -9
    139 Visalia-Porterville, CA
    49.0
    106.3
    -30
    140 Bellingham, WA
    48.8
    79.2
    -62
    141 Victoria, TX
    48.4
    48.1
    142 Peabody, MA  NECTA Division
    48.4
    97.4
    25
    143 Chico, CA
    47.3
    70.3
    27
    144 Lowell-Billerica-Chelmsford, MA-NH  NECTA Division
    47.3
    112.8
    11
    145 Lafayette, IN
    47.0
    91.1
    -60
    146 Grand Junction, CO
    46.9
    59.6
    -109
    147 Rome, GA
    46.7
    39.7
    148 Gainesville, GA
    46.0
    71.2
    -85
    149 Valdosta, GA
    45.8
    52.8
    -65
    150 Winchester, VA-WV
    45.8
    53.2
    41
    151 Pocatello, ID
    45.2
    36.3
    152 Salinas, CA
    44.5
    120.5
    -16
    153 Hagerstown-Martinsburg, MD-WV
    44.2
    95.9
    7
    154 Nashua, NH-MA  NECTA Division
    44.0
    126.0
    -24
    155 Springfield, OH
    43.9
    49.8
    8
    156 Anniston-Oxford, AL
    43.8
    49.6
    -8
    157 Fort Smith, AR-OK
    43.7
    115.9
    -68
    158 Bowling Green, KY
    43.2
    57.6
    -64
    159 Yuba City, CA
    43.1
    37.6
    160 Johnson City, TN
    43.1
    76.8
    -14
    161 Decatur, IL
    43.0
    51.9
    -35
    162 Salisbury, MD
    42.7
    52.2
    3
    163 Napa, CA
    42.7
    59.5
    -24
    164 St. George, UT
    42.6
    46.4
    -54
    165 Macon, GA
    41.8
    96.2
    -43
    166 Corvallis, OR
    41.7
    36.7
    167 San Luis Obispo-Paso Robles, CA
    41.2
    96.5
    -34
    168 Mount Vernon-Anacortes, WA
    40.3
    43.4
    169 Pittsfield, MA NECTA
    40.1
    34.4
    170 Longview, WA
    39.7
    35.1
    171 Brunswick, GA
    39.5
    41.8
    172 Battle Creek, MI
    39.1
    55.7
    41
    173 Florence, SC
    39.0
    82.8
    -34
    174 Merced, CA
    38.9
    54.3
    -28
    175 Cleveland, TN
    38.9
    38.9
    176 Farmington, NM
    38.5
    48.2
    177 Terre Haute, IN
    38.2
    69.9
    15
    178 Danville, IL
    37.9
    29.4
    179 Punta Gorda, FL
    36.5
    39.3
    180 Erie, PA
    36.3
    125.1
    -48
    181 Vallejo-Fairfield, CA
    35.9
    117.1
    19
    182 Kingsport-Bristol-Bristol, TN-VA
    35.8
    115.3
    -37
    183 Santa Cruz-Watsonville, CA
    35.3
    87.7
    1
    184 Bend, OR
    34.8
    60.5
    -45
    185 Kalamazoo-Portage, MI
    34.6
    136.8
    19
    186 Saginaw-Saginaw Township North, MI
    33.8
    83.3
    33
    187 Michigan City-La Porte, IN
    33.7
    43.2
    188 Columbus, IN
    33.5
    41.5
    189 Redding, CA
    33.1
    57.9
    27
    190 Prescott, AZ
    32.7
    55.9
    -13
    191 Port St. Lucie, FL
    31.0
    118.7
    8
    192 Wichita Falls, TX
    30.3
    57.6
    -37
    193 Medford, OR
    29.9
    75.7
    -20
    194 Dothan, AL
    29.8
    57.6
    -5
    195 Atlantic City-Hammonton, NJ
    29.7
    136.0
    12
    196 Rocky Mount, NC
    29.0
    60.2
    12
    197 Lake Havasu City-Kingman, AZ
    28.0
    46.5
    13
    198 Sebastian-Vero Beach, FL
    27.4
    43.5
    199 Decatur, AL
    26.7
    53.3
    -40
    200 Gadsden, AL
    26.6
    35.1
    201 Leominster-Fitchburg-Gardner, MA NECTA
    26.1
    47.1
    202 Carson City, NV
    26.0
    29.2
    203 Bay City, MI
    25.5
    35.8
    204 Yuma, AZ
    25.4
    49.4
    -14
    205 Jackson, TN
    25.4
    57.1
    -41
    206 Lima, OH
    25.2
    51.7
    8
    207 Muncie, IN
    23.4
    49.1
    -4
    208 Danbury, CT NECTA
    22.4
    64.6
    -13
    209 Burlington, NC
    22.1
    55.6
    -9
    210 Wausau, WI
    21.3
    65.7
    -13
    211 Danville, VA
    21.3
    39.2
    212 Mansfield, OH
    21.0
    52.9
    -9
    213 Niles-Benton Harbor, MI
    20.8
    58.5
    -29
    214 Spartanburg, SC
    20.5
    116.3
    -90
    215 Ocala, FL
    20.5
    90.8
    -48
    216 Sheboygan, WI
    20.0
    58.3
    -56
    217 Fond du Lac, WI
    17.7
    43.9
    218 Flint, MI
    17.4
    133.7
    9
    219 Naples-Marco Island, FL
    16.8
    109.8
    -9
    220 Muskegon-Norton Shores, MI
    16.2
    57.8
    2
    221 Racine, WI
    15.7
    73.3
    -35
    222 Steubenville-Weirton, OH-WV
    15.6
    43.9
    223 Monroe, MI
    13.4
    37.0
    224 South Bend-Mishawaka, IN-MI
    12.6
    130.8
    -32
    225 Sumter, SC
    11.3
    35.1
    226 Anderson, SC
    10.8
    58.0
    -3
    227 Jackson, MI
    10.6
    53.2
    5
    228 Waterbury, CT NECTA
    8.9
    61.2
    -6
    229 Dalton, GA
    7.6
    66.0
    -1
    230 Janesville, WI
    7.5
    60.3
    -9
    231 Kokomo, IN
    6.0
    39.4
    232 Holland-Grand Haven, MI
    4.7
    100.7
    -7
    233 Elkhart-Goshen, IN
    2.5
    97.8
    -5
    234 Morristown, TN
    1.5
    44.5
  • Midsized Cities Rankings – 2010 Best Cities for Job Growth

    Read how we pick the best cities.

    Size Rank 2010  Area
    2010 Weighted INDEX
    2009 Nonfarm Emplmnt (1000s)
    Size Rank Change 2010
    1 Durham-Chapel Hill, NC
    86.6
    283.2
    3
    2 Baton Rouge, LA
    83.2
    367.5
    5
    3 Anchorage, AK
    81.1
    168.0
    6
    4 Huntsville, AL
    81.1
    207.9
    8
    5 El Paso, TX
    79.8
    271.9
    6
    6 McAllen-Edinburg-Mission, TX
    78.7
    219.0
    -5
    7 Corpus Christi, TX
    76.2
    175.8
    -1
    8 Lafayette, LA
    75.6
    145.4
    -5
    9 Des Moines-West Des Moines, IA
    74.5
    313.9
    8
    10 Lincoln, NE
    71.2
    170.1
    23
    11 Trenton-Ewing, NJ
    69.7
    235.2
    28
    12 Shreveport-Bossier City, LA
    69.5
    174.3
    -4
    13 Fayetteville-Springdale-Rogers, AR-MO
    69.5
    199.6
    6
    14 Lexington-Fayette, KY
    66.7
    247.4
    44
    15 Little Rock-North Little Rock-Conway, AR
    66.6
    335.0
    16
    16 Tallahassee, FL
    65.3
    171.4
    46
    17 Albany-Schenectady-Troy, NY
    64.9
    438.9
    33
    18 Syracuse, NY
    64.2
    315.6
    20
    19 Ogden-Clearfield, UT
    64.2
    191.7
    9
    20 Albuquerque, NM
    64.2
    377.5
    6
    21 Harrisburg-Carlisle, PA
    64.0
    318.1
    23
    22 Augusta-Richmond County, GA-SC
    63.0
    209.2
    26
    23 Salem, OR
    62.8
    144.7
    4
    24 Springfield, MO
    62.6
    190.6
    5
    25 Charleston-North Charleston-Summerville, SC
    61.6
    282.7
    -10
    26 Allentown-Bethlehem-Easton, PA-NJ
    60.9
    329.6
    15
    27 Jackson, MS
    60.3
    251.4
    25
    28 Scranton–Wilkes-Barre, PA
    59.8
    252.5
    35
    29 Poughkeepsie-Newburgh-Middletown, NY
    59.8
    247.4
    17
    30 Provo-Orem, UT
    59.7
    179.8
    -16
    31 Spokane, WA
    59.5
    207.6
    -7
    32 Kansas City, KS
    59.2
    424.1
    -27
    33 Madison, WI
    58.6
    335.1
    10
    34 Charleston, WV
    58.6
    146.3
    0
    35 Boulder, CO
    57.8
    159.1
    -14
    36 Bakersfield-Delano, CA
    57.2
    225.4
    -23
    37 Tulsa, OK
    56.9
    406.9
    -35
    38 Beaumont-Port Arthur, TX
    55.9
    156.1
    -1
    39 Tacoma, WA Metropolitan Division
    55.5
    265.1
    -17
    40 Savannah, GA
    55.1
    150.2
    -20
    41 Portland-South Portland-Biddeford, ME NECTA
    54.5
    186.2
    26
    42 Columbia, SC
    54.2
    345.8
    -7
    43 Knoxville, TN
    53.9
    319.9
    16
    44 New Haven, CT NECTA
    52.0
    266.4
    3
    45 Pensacola-Ferry Pass-Brent, FL
    51.9
    158.4
    40
    46 York-Hanover, PA
    51.6
    173.3
    -21
    47 Winston-Salem, NC
    51.4
    207.5
    10
    48 Calvert-Charles-Prince George’s, MD
    51.1
    375.9
    25
    49 Colorado Springs, CO
    50.8
    244.4
    6
    50 Ann Arbor, MI
    50.7
    192.8
    43
    51 Roanoke, VA
    50.4
    154.2
    9
    52 Montgomery, AL
    49.6
    167.7
    -16
    53 Framingham, MA  NECTA Division
    49.1
    150.9
    -37
    54 Bridgeport-Stamford-Norwalk, CT NECTA
    48.5
    397.6
    20
    55 Reading, PA
    48.0
    164.6
    11
    56 Green Bay, WI
    47.8
    160.6
    9
    57 Evansville, IN-KY
    47.4
    169.2
    24
    58 Tucson, AZ
    46.2
    359.8
    10
    59 Worcester, MA-CT NECTA
    46.0
    235.1
    11
    60 Asheville, NC
    46.0
    164.5
    -11
    61 Boise City-Nampa, ID
    45.9
    250.4
    -5
    62 Lancaster, PA
    45.9
    224.5
    -11
    63 Mobile, AL
    45.3
    171.7
    -53
    64 Wichita, KS
    44.8
    286.0
    -41
    65 Peoria, IL
    43.4
    174.9
    -47
    66 Santa Barbara-Santa Maria-Goleta, CA
    41.5
    161.8
    -24
    67 Fresno, CA
    41.1
    281.1
    -22
    68 Lansing-East Lansing, MI
    41.0
    215.9
    11
    69 Davenport-Moline-Rock Island, IA-IL
    40.5
    176.7
    -39
    70 Lakeland-Winter Haven, FL
    40.3
    195.2
    -9
    71 Lake County-Kenosha County, IL-WI Metropolitan Division
    39.4
    372.4
    -31
    72 Wilmington, DE-MD-NJ Metropolitan Division
    38.9
    333.3
    6
    73 Baltimore City, MD
    37.6
    345.6
    3
    74 Greenville-Mauldin-Easley, SC
    36.9
    292.7
    -42
    75 Palm Bay-Melbourne-Titusville, FL
    34.8
    193.9
    16
    76 Gary, IN Metropolitan Division
    34.7
    262.7
    -23
    77 Springfield, MA-CT NECTA
    33.6
    280.2
    -2
    78 Stockton, CA
    33.2
    191.8
    -7
    79 Fort Wayne, IN
    33.0
    200.4
    -7
    80 Oxnard-Thousand Oaks-Ventura, CA
    31.1
    271.2
    7
    81 Modesto, CA
    29.6
    143.6
    -1
    82 Chattanooga, TN-GA
    29.2
    225.3
    -28
    83 Deltona-Daytona Beach-Ormond Beach, FL
    27.8
    154.4
    6
    84 Eugene-Springfield, OR
    26.0
    141.5
    -20
    85 Greensboro-High Point, NC
    25.5
    340.8
    -1
    86 Grand Rapids-Wyoming, MI
    24.2
    360.2
    0
    87 Akron, OH
    21.8
    313.2
    -18
    88 Santa Rosa-Petaluma, CA
    20.7
    169.1
    0
    89 North Port-Bradenton-Sarasota, FL
    20.4
    245.6
    6
    90 Dayton, OH
    20.3
    368.4
    4
    91 Cape Coral-Fort Myers, FL
    19.8
    195.9
    -8
    92 Reno-Sparks, NV
    19.4
    190.6
    -2
    93 Youngstown-Warren-Boardman, OH-PA
    17.7
    217.1
    -1
    94 Canton-Massillon, OH
    14.6
    157.6
    -12
    95 Toledo, OH
    14.4
    294.6
    2
    96 Rockford, IL
    12.8
    140.9
    -19
    97 Hickory-Lenoir-Morganton, NC
    8.8
    142.2
    -1
  • Large Cities Rankings – 2010 Best Cities for Job Growth

    Read how we pick the best cities.

    Size Rank 2010  Area
    2010 Weighted INDEX
     

    2009 Nonfarm Emplmnt (1000s) 
    Size Rank Change 2010
    1 Austin-Round Rock-San Marcos, TX
    88.9
           756.8
    0
    2 San Antonio-New Braunfels, TX
    84.9
           827.2
    1
    3 Houston-Sugar Land-Baytown, TX
    81.0
       2,513.6
    -1
    4 Northern Virginia, VA
    77.1
       1,291.4
    9
    5 Dallas-Plano-Irving, TX Metropolitan Division
    75.7
       2,006.9
    0
    6 Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Division
    75.3
       2,380.0
    6
    7 Fort Worth-Arlington, TX Metropolitan Division
    75.2
           844.9
    -3
    8 Raleigh-Cary, NC
    74.4
           496.9
    0
    9 Omaha-Council Bluffs, NE-IA
    68.5
           453.6
    2
    10 New York City, NY
    66.7
       3,655.7
    4
    11 Oklahoma City, OK
    65.1
           555.3
    -2
    12 Salt Lake City, UT
    64.9
           606.9
    -5
    13 Pittsburgh, PA
    64.5
       1,112.7
    16
    14 Philadelphia City, PA
    64.4
           647.2
    17
    15 Bethesda-Rockville-Frederick, MD Metropolitan Division
    64.3
           556.1
    9
    16 Nassau-Suffolk, NY Metropolitan Division
    63.7
       1,225.2
    18
    17 Rochester, NY
    63.6
           502.8
    4
    18 Hartford-West Hartford-East Hartford, CT NECTA
    61.9
           536.9
    18
    19 Boston-Cambridge-Quincy, MA NECTA Division
    61.7
       1,644.2
    -3
    20 Buffalo-Niagara Falls, NY
    61.6
           536.3
    10
    21 Kansas City, MO
    61.2
           544.0
    7
    22 Honolulu, HI
    60.9
           437.2
    -3
    23 Virginia Beach-Norfolk-Newport News, VA-NC
    55.2
           729.7
    4
    24 Denver-Aurora-Broomfield, CO
    54.3
       1,178.7
    -9
    25 Louisville-Jefferson County, KY-IN
    54.3
           591.5
    12
    26 Columbus, OH
    52.6
           898.2
    6
    27 St. Louis, MO-IL
    50.5
       1,286.5
    6
    28 Seattle-Bellevue-Everett, WA Metropolitan Division
    50.3
       1,374.6
    -22
    29 Camden, NJ Metropolitan Division
    49.7
           512.1
    26
    30 Nashville-Davidson–Murfreesboro–Franklin, TN
    49.7
           719.2
    -5
    31 Charlotte-Gastonia-Rock Hill, NC-SC
    48.6
           802.5
    -13
    32 Richmond, VA
    47.8
           595.6
    10
    33 Putnam-Rockland-Westchester, NY
    46.0
           548.5
    -16
    34 Indianapolis-Carmel, IN
    45.6
           859.4
    1
    35 Cincinnati-Middletown, OH-KY-IN
    45.2
           984.7
    3
    36 Orlando-Kissimmee-Sanford, FL
    43.8
           998.4
    -10
    37 Jacksonville, FL
    43.3
           581.8
    7
    38 Bergen-Hudson-Passaic, NJ
    42.7
           865.0
    15
    39 Edison-New Brunswick, NJ Metropolitan Division
    42.6
           966.4
    15
    40 Minneapolis-St. Paul-Bloomington, MN-WI
    42.3
       1,677.2
    8
    41 Portland-Vancouver-Hillsboro, OR-WA
    42.2
           959.1
    -31
    42 San Francisco-San Mateo-Redwood City, CA Metropolitan Division
    42.1
           926.1
    -19
    43 Atlanta-Sandy Springs-Marietta, GA
    42.1
       2,259.3
    -2
    44 Newark-Union, NJ-PA Metropolitan Division
    39.8
           970.5
    3
    45 Miami-Miami Beach-Kendall, FL Metropolitan Division
    38.8
           981.9
    -5
    46 New Orleans-Metairie-Kenner, LA
    38.3
           519.2
    -1
    47 San Jose-Sunnyvale-Santa Clara, CA
    37.6
           841.9
    -27
    48 San Diego-Carlsbad-San Marcos, CA
    37.4
       1,213.2
    -9
    49 Milwaukee-Waukesha-West Allis, WI
    35.0
           796.3
    2
    50 Chicago-Joliet-Naperville, IL Metropolitan Division
    33.7
       3,583.0
    2
    51 Phoenix-Mesa-Glendale, AZ
    32.6
       1,701.0
    -8
    52 Memphis, TN-MS-AR
    31.7
           591.7
    -6
    53 Sacramento–Arden-Arcade–Roseville, CA
    31.5
           818.2
    7
    54 Tampa-St. Petersburg-Clearwater, FL
    30.6
       1,122.8
    4
    55 Providence-Fall River-Warwick, RI-MA NECTA
    27.2
           530.2
    10
    56 Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metropolitan Division
    26.9
           703.5
    -6
    57 Las Vegas-Paradise, NV
    26.7
           806.3
    -35
    58 Cleveland-Elyria-Mentor, OH
    24.4
           983.2
    6
    59 Los Angeles-Long Beach-Glendale, CA Metropolitan Division
    22.8
       3,778.6
    -3
    60 Santa Ana-Anaheim-Irvine, CA Metropolitan Division
    22.8
       1,347.1
    3
    61 West Palm Beach-Boca Raton-Boynton Beach, FL Metropolitan Division
    22.4
           498.9
    0
    62 Oakland-Fremont-Hayward, CA Metropolitan Division
    21.9
           948.4
    0
    63 Riverside-San Bernardino-Ontario, CA
    21.4
       1,108.7
    -6
    64 Birmingham-Hoover, AL
    20.8
           485.1
    -15
    65 Detroit-Livonia-Dearborn, MI Metropolitan Division
    4.1
           689.6
    1
    66 Warren-Troy-Farmington Hills, MI Metropolitan Division
    1.1
       1,019.3
    -7