Blog

  • What Trump has wrought

    Just a few short months ago, we seemed on the brink of a new political era. Donald Trump improbably was headed to the White House, while the Democratic Party, at near historic lows in statehouse power and without control of either house of Congress, seemed to be facing a lengthy period in political purgatory.

    Today some progressive voices still see a “bleak” future, but it is increasingly the Republican Party, and its shattered conservative core, that is reeling. Bitterly divided among themselves, and led by a petulant president with record-low ratings, the Republicans seem to be headed to a major crash just six months after a surprising victory.

    Gone from view now are visions of a renewed Republican Party uniting its traditional base with historically Democratic parts of Middle America. Rather than a realignment in the mode of Richard Nixon or Ronald Reagan, the Trump administration seems to be devolving into a remarkably early interregnum, a pause between alternating progressive eras.

    Trump supporters, not Trump, the real losers

    Donald Trump’s nationalist agenda started with a natural appeal to much ignored non-cosmopolitan America. Unlike the seemingly diffident and distant Barack Obama, Trump offered a laser-like focus on growing high-wage jobs for the declining middle and working classes. A reform agenda on everything from deregulation and taxes seemed to have the potential to escape the low-growth “new normal” and restore broad-based opportunity across the country.

    Due to his obsession with media relations and personal peccadilloes, Trump now has managed to undermine any chance of developing a coherent program to restore dynamism in Middle America. Although some regulatory relief has been imposed, mainly by reversing President Obama’s rule-by-decree, the president has failed to pass a program — for example, new infrastructure spending — that might expand productivity and expand employment opportunities. Instead, he has regressed, in his rare coherent moments, to the GOP corporatist, free-market theology, which threatens many entitlements, notably health care, on which so many Trump voters now depend.

    Trump’s failure to achieve long-term change will end up hurting not just his precious “brand,” but, more importantly, voters and states that backed him. To many who work in manufacturing, energy, homebuilding or agriculture, the president seemed to be a savior. Now these industries may only have four years — at most — before the hammer comes down again, with only the U.S. Supreme Court serving as a possible restraint.

    Read the entire piece at the Orange Country Register.

    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.

    Photo by Michael Vadon, obtained via Flickr, using the CC License.

  • The Evolving Urban Form: Budapest

    The Budapest area has lost population overall since 1980, having fallen from 3.03 million to 2.99 million in 2016, according to Hungarian Central Statistical Office data as reported by citypopulation.de (Graphic 1). This 1.3 percent loss is smaller than the national population loss over the same period of 8.2 percent. Moreover, during the last five years, the Budapest area is estimated to have gained 1.7 percent, even as Hungary lost 1.1 percent. In this regard, the trend in Budapest has been similar to that of Warsaw, with stronger population growth than in the nation as a whole, but at the same time greater population growth outside the urban core.

    The Budapest area described in this article includes two of Hungary’s county level jurisdictions (megyék), the core municipality of Budapest and Pest, which surrounds Budapest with inner and outer suburbs. Each of the county level jurisdictions is further divided into districts.

    Urban Core Districts

    Budapest’s center spans the Danube River and includes District I (former Pest) and District V (former Buda). These districts largely encompassed the “walking city” that existed before the coming of transit in the 18th century. Walking cities have especially high densities, and were subject to huge population losses when after transit and the automobile arrive. For example, from 1860 to 2010, core walking arrondissements (I through IV) of the ville de Paris have lost nearly 75 percent of their population (earlier comparisons are not readily available because new arrondissement boundaries were adopted in 1860).

    Similarly, since 1980, the former walking center of Budapest has lost 44 percent of its population. The largest loss occurred in the decade following the exit of Soviet influence, between 1990 and 2001. Over the past five years, these two districts have experienced a small population reversal, having increased approximately four percent.

    On the east side of the Danube, there are a number of high density districts adjacent to District V (Districts VI, VII, VIII, IX, X and XIII). These largely developed in the mass transit era and have suffered less serious losses. Since 1980, these districts have loss 29 percent of their population. Again, the greatest declines were between 1990 and 2001. However, modest losses continue and the most recent five year loss more than offset the gains noted above in the inner core districts.

    Budapest’s urban core is renowned for its magnificent buildings, largely from the 19th century. Its core is a feast of architecture rivaling such urban showpieces as Paris, Barcelona and Buenos Aires.

    The urban core of Budapest includes the Royal Palace (Graphic 2) on the west side of the river and Parliament on the east side. There is the notable ‘Chain Bridge,” which opened in 1848 and still handles pedestrian, transit and highway traffic (Graphic 3).

    Parliament was completed in 1904, when Budapest was one of the two capitals of the Austrian-Hungarian Empire, under the dual monarchy (top photograph and Graphics 4 and 5). It is, in my view, one of the most distinctive seats of government in the world, having features that resemble those of the Palace of Westminster in London and a dome resembling that of the U.S. Capitol. Its distinctive reddish roofs are seen in current river cruise PBS television commercials.

    The Parliament is in Kussuth Square (Graphics 6 and 7), which was at the heart of the 1956 rebellion against Soviet rule, which resulted in a death toll of 2,500, followed by the loss of 200,000 refugees. There is now a memorial to the event below Kussuth Square, with exhibits tied together by a lighted red line symbolizing the bloody event (Graphic 8).

    The urban core also includes the Opera House that reminds one of the Garnier Opera in Paris. There are many more examples of ornate architecture, principally from the 19th century (Graphics 9 to 17), extending to “Heroes Square,” where Imre Nagy, Chairman of the Council of Ministers of the Hungarian People’s Republic (the national leader) was reburied, after having been executed for leadership of the 1956 rebellion.

    Other City Districts

    The other 15 districts of Budapest have lost six percent of their population since 1980. These districts are newer, have lower population densities and are more automobile oriented (Graphic 18). However, since 2011, these districts experienced a three percent increase. The other districts have more than 70 percent of Budapest’s population, and this increase was enough to produce an overall two percent increase for Budapest county between 2011 and 2016. Even so, Budapest county has lost 15 percent of its population since 1980.

    The Suburbs (Pest County)

    The only part of the Budapest area that has grown since 1980 is Pest County, with its inner and outer suburbs (Graphics 19 and 20). Overall, Pest County has grown 27 percent. The eight inner suburban counties experienced the bulk of the growth, adding 50 percent, while the 10 outer suburban counties added four percent to their population.

    In the Soviet era, high rise apartment blocks were the rule, while there was little construction of detached housing. Following the Soviet exit, suburbanization developed rapidly, with considerable single family detached housing construction (Graphics 21 to 22). Houses continue to be under construction, both in existing suburban areas and in greenfield areas (Graphics 23 to 28), some in the Buda Hills, with stunning views of the city. This greenfield development appears to have stronger infrastructure regulations, illustrated by unusually wide (for Europe) suburban roadways and complete sidewalk development, even before house construction begins (Graphic 29).

    Progress in Budapest

    Hungary faces serious challenges, particularly due to its substantial population losses. Yet, as in the case of Tokyo-Yokohama, a national capital in a nation losing population can prosper by capturing nearly all of the nation’s growth. This is also the reality in the Budapest region, where recent modest population gains have been achieved, even as the nation continued to lose population. Over the last three decades, Budapest has moved quickly from the excessive political and economic controls to a new future of people-centered modernity that the more fortunate cities in North America, Europe and Oceania were able to embrace much earlier.

    Wendell Cox is principal of Demographia, an international public policy and demographics firm. He is a Senior Fellow of the Center for Opportunity Urbanism (US), Senior Fellow for Housing Affordability and Municipal Policy for the Frontier Centre for Public Policy (Canada), and a member of the Board of Advisors of the Center for Demographics and Policy at Chapman University (California). He is co-author of the “Demographia International Housing Affordability Survey” and author of “Demographia World Urban Areas” and “War on the Dream: How Anti-Sprawl Policy Threatens the Quality of Life.” He was appointed to three terms on the Los Angeles County Transportation Commission, where he served with the leading city and county leadership as the only non-elected member. He served as a visiting professor at the Conservatoire National des Arts et Metiers, a national university in Paris.

    Top photograph: Parliament from across the Danube (by author).

  • MaX Lanes: A Next Generation Strategy for Affordable Proximity

    This is the introduction to a new report written by Tory Gattis of the Center for Opportunity Urbanism. Download the full report here.

    The core urban challenge of our time is ‘affordable proximity’: how can ever larger numbers of people live and interact economically with each other while keeping the cost of living – especially housing – affordable? In decentralized, post-WW2 Sunbelt cities built around the car, commuter rail solutions don’t work and an alternative is needed, especially as we see autonomous vehicles on the horizon.

    This briefing explores a next-generation mobility strategy for affordable proximity: MaX Lanes (Managed eXpress Lanes) moving the maximum number of people at maximum speed and allowing direct point-to-point single-seat high-speed trips by transit buses and other shared-ride vehicles today, and autonomous vehicles in the future. It includes a case study of Houston with a proposed network as well as profiles of similar lanes around the country.

    Download the full report here.

  • America’s Heartland is Critical to Our Future

    The results of the 2016 presidential election have been ascribed — by the winner’s critics — to racism, hysteria, stupidity, or nostalgia. But what the results most reflected was a looming economic divide. Essentially, Donald Trump won in the parts of the country that grow most of the food, drill for oil and gas, and produce palpable things. The places that went for Hillary Clinton are where intangibles such as media, software, and financial transactions drive the economy.

    Blue America elites denigrate, and even pity, the vast American heartland for its lack of hipness and  dependence on more traditional industries. Inconveniently, however, the vast region located between the Appalachians and the Rockies — and from the Gulf of Mexico to the Canadian border — is also home to roughly half the country’s population and electoral votes.

    Not content merely to attack Trump at every turn, frustrated liberal elites compete with each other to heap scorn on those who voted for him. “These are the folks who think intellectualism is a sign of weakness,” scolds  Gentleman’s Quarterly in a recent piece that calls Trump voters “bigoted morons … who stay willfully ignorant as a point of cultural pride.” Trump voters, adds Salon, should not hope for an industrial revival, since these jobs “are never coming back.” Rather than hope that jobs created by industry will return, one Berkeley economist suggests these voters pack up and move to San Francisco — notwithstanding median housing price approaching $1.2 million.

    Stuff Still Matters

    Yet despite these attitudes, the heartland may yet prove the key to restoring a prosperous and more egalitarian future. As Michael Lind and I show in our new report for the Center for Opportunity Urbanism, heartland-centered industries provide far wider and better-paid work for those without a four-year degree. They also provide more opportunities to blacks and Hispanics, who account for  less than 5 percent of workers in Silicon Valley’s top firms while accounting for 25 percent of those in manufacturing and over 20 percent in the energy sector.   

    Nor are these opportunities disappearing as rapidly as either blue state pundits (or Trump himself) would have us believe. Since 2011, all but 18 of the country’s 70 largest regions, according to Pepperdine University economist Michael Shires, have seen an uptick in industrial jobs. Nor does this trend seem to be fading; openings for new industrial jobs are at the highest level since the onset of the Great Recession.

    Since 2011, nine of the fastest growing industrial areas in the U.S. are in red states, notes Shires. Between 2010 and 2016, the top four – Michigan, Indiana, Ohio, and Tennessee – have accounted for nearly 40 percent of the nation’s new manufacturing jobs.  

    These regions once were fertile ground for Democrats, and could again with a shift in attitude. Allied with trade unions, Democratic candidates took tough stands on international trade and openly promoted expanding manufacturing and energy jobs. Yet, increasingly, the Democratic Party has abandoned these concerns, preferring to talk about putting “coal miners out work,” imposing strict regulation of oil and gas industry growth, and curbing the auto sector. This explains, at least in part, why such states voted against Hillary Clinton in 2016 (while supporting the more populist-themed candidacy of her husband two decades earlier).

    Why the Heartland Matters to the Economy

    Although the industrial workforce has fallen from 10.5 percent to 8.5 percent of all nonfarm employment since 2005, manufacturing contributes to the economy far out of proportion to its shrinking share of employment. In 2013, notes economic historian Lind, the manufacturing sector employed 12 million workers, but generated an additional 17.1 million indirect jobs.  

    Far from being technically regressive, manufacturers also employ most of the nation’s scientists and engineers. Regions in Trump states associated with basic industries — Houston, Dallas-Fort Worth, Detroit, Salt Lake City, Dayton — enjoy among the heaviest concentrations of STEM workers and engineers in the country, far above New York, Chicago and Los Angeles.

    For many communities, manufacturing matters because it creates so much additional output in the rest of the country. Overall, according to the Bureau of Economic Analysis, the multiplier effect for manufactured goods is more than twice that generated by retail, trade, or the professional and business services sector. 

    The contribution of manufacturing to U.S. productivity growth is also disproportionate. From 1997-2012, labor productivity growth in manufacturing — 3.3 percent per year — was a third higher than productivity growth in the private economy as a whole. Manufactured goods also accounted for 50 percent of all exports. By way of contrast, intellectual property payments for services such as royalties to Silicon Valley tech companies and entrepreneurs amounted to $126.5 billion in 2015, which represents less than 6 percent of the $2.23 trillion in total exports that year.

    Finally, there are the natural resource industries, to which the blue state punditry — and unfortunately much of the political class — are largely indifferent, if not openly hostile.

    The Mississippi Basin produces 92 percent of the nation’s agricultural exports by value, as well as most of the feed grains, soybeans, and livestock and hogs produced nationally. Sixty percent of all grain exported from the U.S. is shipped via the Mississippi River through the Port of New Orleans and the Port of South Louisiana.

    The most rapid gains, however, stem from the upsurge in American-produced energy. Now that fracking appears to have turned the corner, the U.S. is on its way to becoming a major exporter of natural gas and petroleum-refined products. And energy jobs pay as well or better than those in the heralded occupations, such as finance, business services and information. Although down from its peak, energy sector employment remains at 2.2 million, well above 2010 levels. Low energy prices and stable sources of supply are among the reasons that industrial firms, including those from abroad, have flocked to large parts of the heartland, notably Texas and Ohio, where energy is a primary generator of high-paying manufacturing employment.

    Last Hope for America’s Middle Class?

    The heartland’s most important contribution may be in providing a new opportunity for the country’s diminishing middle class. An array of scholarship, including a recent study by James Galbraith, a progressive University of Texas economist, has shown that the coastal states have the dubious honor of leading the way in increasing income inequality over the past 15 years. For all their progressive fulminations, cities such as San Francisco, New York and Los Angeles are now the most economically imbalanced in the nation.

    Increasingly, people seeking opportunity are leaving in large numbers from New York or California and heading to places such as Tennessee or Texas. Even traditional large losers of domestic migrants, such as Michigan and Ohio, have seen their out-migration rates drop since 2000. The migration trend has now tipped in favor of the region’s resurgent cities, including Midwestern cities such Des Moines, Indianapolis, Louisville (pictured), and Columbus.

    A critical factor here is the cost of living, particularly housing. In most cities, the price-to-income ratio, called the “median multiple,” is around 3 to 1. This ratio is two or three times higher in the prime regions of California or the Northeast.   

    Perhaps most revealing of the future are changes in youth migration, notably those with college degrees. Research conducted by Cleveland State University suggests a sea change since 2010 in the migration patterns of educated millennials towards heartland cities. In earlier periods the strongest growth did indeed go to hip locals such as San Francisco, San Jose, Washington D.C., Los Angeles and New York. More recently, the big growth has been in such Rustbelt redoubts like Pittsburgh and Cleveland, as well as Sunbelt standouts San Antonio, Houston, and Austin. These trends foreshadow likely migration patterns, and may become more pronounced when the younger cohort begins to start families and seek out homes.  

    These trends suggest that, rather than remaining a hopeless backwater, the heartland could increasingly provide a major contribution to the country’s economic future. These regions may not replace Silicon Valley or Manhattan as generators of hyper-wealth, but seem more likely to offer opportunities for the next American middle class. So, don’t cry for the heartland, or hold it in contempt. Rather than detritus of a fading economy, the middle of America may well hold the key to the future prosperity and American opportunity for the coming decades.

    This piece originally appeared on Real Clear Politics.

    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.

    Photo by David Grant, obtained via Flickr, using the CC License.

  • 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.

  • All Cities Rankings – 2017 Best Cities for Job Growth

    Read about how we selected the 2017 Best Cities for Job Growth

    2017
    Overall Ranking
    Area Weighted INDEX 2016 Nonfarm Eplmnt (1000s) Overall Movement 2016 to 2017  2017 Size 
    1 Provo-Orem, UT 99.0         243.4 1  M 
    2 Lake Charles, LA 97.1         111.3 18  S 
    3 St. George, UT 96.5           61.8 -2  S 
    4 Dallas-Plano-Irving, TX Metro Div 96.4      2,554.6 5  L 
    5 San Francisco-Redwood City-South San Francisco, CA Metro Div 96.2      1,108.6 -2  L 
    6 Fayetteville-Springdale-Rogers, AR-MO 95.6         249.5 0  M 
    7 Nashville-Davidson–Murfreesboro–Franklin, TN 95.5         968.8 1  L 
    8 Fort Collins, CO 94.3         162.6 4  M 
    9 The Villages, FL 94.1           27.9 13  S 
    10 Gainesville, GA 93.8           88.4 -6  S 
    11 Charlotte-Concord-Gastonia, NC-SC 93.2      1,170.0 10  L 
    12 Orlando-Kissimmee-Sanford, FL 93.1      1,233.2 -5  L 
    13 Salt Lake City, UT 92.6         713.6 23  L 
    14 Charleston-North Charleston, SC 92.6         350.5 5  M 
    15 Austin-Round Rock, TX 92.6      1,015.4 -4  L 
    16 San Jose-Sunnyvale-Santa Clara, CA 92.1      1,084.7 -11  L 
    17 Boise City, ID 92.0         311.0 16  M 
    18 Ogden-Clearfield, UT 90.7         249.8 -3  M 
    19 Seattle-Bellevue-Everett, WA Metro Div 90.4      1,664.4 7  L 
    20 Raleigh, NC 89.7         610.1 3  L 
    21 Olympia-Tumwater, WA 89.7         114.7 64  S 
    22 Wenatchee, WA 89.5           44.1 7  S 
    23 Auburn-Opelika, AL 89.3           63.8 24  S 
    24 Bend-Redmond, OR 88.0           78.5 -10  S 
    25 Denver-Aurora-Lakewood, CO 87.1      1,442.3 -7  L 
    26 Savannah, GA 86.6         177.9 -10  M 
    27 Daphne-Fairhope-Foley, AL 86.1           71.4 -2  S 
    28 San Antonio-New Braunfels, TX 85.8      1,027.9 0  L 
    29 Coeur d’Alene, ID 85.6           60.6 12  S 
    30 Cape Coral-Fort Myers, FL 84.6         262.6 -13  M 
    31 Atlanta-Sandy Springs-Roswell, GA 84.4      2,721.2 -1  L 
    32 Tacoma-Lakewood, WA Metro Div 84.2         309.8 44  M 
    33 Boulder, CO 83.6         188.2 34  M 
    34 Killeen-Temple, TX 83.4         146.5 35  S 
    35 North Port-Sarasota-Bradenton, FL 83.4         301.9 28  M 
    36 Elkhart-Goshen, IN 83.1         132.7 23  S 
    37 Riverside-San Bernardino-Ontario, CA 82.7      1,436.3 -2  L 
    38 West Palm Beach-Boca Raton-Delray Beach, FL Metro Div 81.6         623.6 12  L 
    39 Punta Gorda, FL 80.8           48.9 26  S 
    40 Portsmouth, NH-ME NECTA 80.6           90.6 -1  S 
    41 Portland-Vancouver-Hillsboro, OR-WA 80.5      1,153.4 -17  L 
    42 Bowling Green, KY 80.2           76.3 61  S 
    43 Port St. Lucie, FL 79.9         146.4 0  S 
    44 Grand Rapids-Wyoming, MI 79.7         551.2 40  L 
    45 Merced, CA 79.4           65.7 52  S 
    46 Naples-Immokalee-Marco Island, FL 79.3         145.2 -2  S 
    47 Spartanburg, SC 79.2         149.4 23  S 
    48 Miami-Miami Beach-Kendall, FL Metro Div 78.7      1,180.1 23  L 
    49 Fresno, CA 78.7         339.1 8  M 
    50 Tampa-St. Petersburg-Clearwater, FL 78.5      1,321.1 31  L 
    51 Louisville/Jefferson County, KY-IN 78.4         670.8 31  L 
    52 Asheville, NC 78.2         188.7 20  M 
    53 Trenton, NJ 78.0         269.6 8  M 
    54 Wilmington, NC 77.7         123.5 66  S 
    55 Cleveland, TN 77.7           51.7 76  S 
    56 Jonesboro, AR 77.6           56.5 -22  S 
    57 Las Vegas-Henderson-Paradise, NV 77.5         964.6 11  L 
    58 Visalia-Porterville, CA 77.3         125.6 -4  S 
    59 Jacksonville, FL 76.9         677.5 -11  L 
    60 College Station-Bryan, TX 76.8         116.5 -29  S 
    61 Oakland-Hayward-Berkeley, CA Metro Div 76.8      1,150.1 34  L 
    62 Idaho Falls, ID 76.7           63.9 16  S 
    63 Bellingham, WA 76.5           92.0 100  S 
    64 Indianapolis-Carmel-Anderson, IN 76.5      1,056.9 29  L 
    65 Stockton-Lodi, CA 76.4         227.9 -14  M 
    66 Modesto, CA 76.3         173.5 41  M 
    67 Salem, OR 76.1         162.1 7  M 
    68 El Paso, TX 75.7         315.1 36  M 
    69 New York City, NY 75.6      4,388.9 -32  L 
    70 Columbus, OH 75.6      1,077.8 22  L 
    71 Colorado Springs, CO 75.6         281.6 16  M 
    72 Columbus, IN 75.1           52.9 -62  S 
    73 Santa Cruz-Watsonville, CA 74.9         101.4 68  S 
    74 Chico, CA 74.8           81.7 73  S 
    75 Phoenix-Mesa-Scottsdale, AZ 74.8      2,015.6 -37  L 
    76 Reno, NV 74.5         225.1 36  M 
    77 Kennewick-Richland, WA 74.3         110.6 33  S 
    78 Fort Worth-Arlington, TX Metro Div 74.0      1,023.6 10  L 
    79 Des Moines-West Des Moines, IA 74.0         360.1 56  M 
    80 Haverhill-Newburyport-Amesbury Town, MA-NH NECTA Div 73.9           66.2 -48  S 
    81 Deltona-Daytona Beach-Ormond Beach, FL 73.5         199.3 45  M 
    82 Sebastian-Vero Beach, FL 73.3           52.1 46  S 
    83 Sioux Falls, SD 72.8         153.4 -31  M 
    84 San Diego-Carlsbad, CA 72.8      1,439.0 6  L 
    85 San Luis Obispo-Paso Robles-Arroyo Grande, CA 72.3         114.5 -39  S 
    86 Gainesville, FL 72.2         143.3 75  S 
    87 Lexington-Fayette, KY 72.1         281.2 13  M 
    88 Logan, UT-ID 72.1           60.9 -28  S 
    89 Madera, CA 72.1           37.3 29  S 
    90 Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metro Div 71.8         836.9 -15  L 
    91 Boston-Cambridge-Newton, MA NECTA Div 71.8      1,831.6 36  L 
    92 Dover-Durham, NH-ME NECTA 71.6           54.6 150  S 
    93 Kansas City, MO 71.6         608.6 91  L 
    94 Fargo, ND-MN 71.5         142.2 -38  S 
    95 Durham-Chapel Hill, NC 71.4         307.1 43  M 
    96 San Rafael, CA Metro Div 71.4         115.9 9  S 
    97 Lakeland-Winter Haven, FL 71.3         219.6 32  M 
    98 Laredo, TX 71.2         104.2 -49  S 
    99 Napa, CA 71.2           70.9 -86  S 
    100 Myrtle Beach-Conway-North Myrtle Beach, SC-NC 71.0         154.1 -60  M 
    101 Lubbock, TX 71.0         146.9 -5  S 
    102 Yakima, WA 71.0           84.5 42  S 
    103 Brownsville-Harlingen, TX 70.9         143.0 33  S 
    104 McAllen-Edinburg-Mission, TX 70.8         256.4 2  M 
    105 Charlottesville, VA 70.8         115.5 -43  S 
    106 Waco, TX 70.2         119.8 82  S 
    107 Iowa City, IA 70.1         101.9 52  S 
    108 Greenville-Anderson-Mauldin, SC 69.9         412.4 -50  M 
    109 Yuba City, CA 69.9           43.4 21  S 
    110 Crestview-Fort Walton Beach-Destin, FL 69.6         109.8 79  S 
    111 Santa Rosa, CA 69.4         202.0 -45  M 
    112 Sacramento–Roseville–Arden-Arcade, CA 69.3         958.1 22  L 
    113 Greeley, CO 68.9         100.3 -86  S 
    114 Salinas, CA 68.8         137.9 0  S 
    115 Vallejo-Fairfield, CA 68.7         137.2 -24  S 
    116 Tyler, TX 68.5         106.0 -5  S 
    117 Medford, OR 68.3           86.2 33  S 
    118 Hilton Head Island-Bluffton-Beaufort, SC 67.9           75.5 -73  S 
    119 Kokomo, IN 67.7           42.4 109  S 
    120 Lowell-Billerica-Chelmsford, MA-NH NECTA Div 67.6         155.0 76  M 
    121 Albany, OR 67.6           44.0 114  S 
    122 Lewiston, ID-WA 66.9           28.7 99  S 
    123 Grants Pass, OR 66.3           25.8 39  S 
    124 Huntsville, AL 66.0         228.8 77  M 
    125 Philadelphia City, PA 65.6         714.0 99  L 
    126 Ocala, FL 65.4         103.5 81  S 
    127 Madison, WI 65.0         399.4 10  M 
    128 Sebring, FL 64.9           27.1 101  S 
    129 Augusta-Richmond County, GA-SC 64.8         237.3 110  M 
    130 Warren-Troy-Farmington Hills, MI Metro Div 64.4      1,236.6 2  L 
    131 Pensacola-Ferry Pass-Brent, FL 64.4         174.3 59  M 
    132 Springfield, MO 64.4         212.6 -13  M 
    133 Redding, CA 64.0           66.1 61  S 
    134 Walla Walla, WA 63.4           28.2 125  S 
    135 Elizabethtown-Fort Knox, KY 62.5           57.2 -46  S 
    136 Prescott, AZ 62.5           62.6 -59  S 
    137 Middlesex-Monmouth-Ocean, NJ 62.4         895.9 23  L 
    138 Harrisonburg, VA 62.0           68.4 157  S 
    139 Kahului-Wailuku-Lahaina, HI 61.8           75.2 -53  S 
    140 Anaheim-Santa Ana-Irvine, CA Metro Div 61.7      1,592.2 -41  L 
    141 Houston-The Woodlands-Sugar Land, TX 61.7      3,017.5 -62  L 
    142 Winchester, VA-WV 61.7           62.5 -87  S 
    143 Mount Vernon-Anacortes, WA 61.3           49.1 31  S 
    144 Spokane-Spokane Valley, WA 61.3         242.3 47  M 
    145 Ames, IA 61.0           54.0 -81  S 
    146 Jackson, TN 60.6           68.8 56  S 
    147 Northern Virginia, VA 60.5      1,449.9 40  L 
    148 Los Angeles-Long Beach-Glendale, CA Metro Div 60.5      4,442.2 34  L 
    149 Sherman-Denison, TX 60.3           46.7 20  S 
    150 Palm Bay-Melbourne-Titusville, FL 59.8         213.4 90  M 
    151 Ithaca, NY 59.7           64.9 98  S 
    152 Kansas City, KS 59.4         469.2 -36  L 
    153 Columbia, SC 59.4         395.4 -70  M 
    154 Lincoln, NE 59.4         189.9 27  M 
    155 New Bedford, MA NECTA 59.3           68.2 13  S 
    156 Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Div 59.1      2,653.9 1  L 
    157 Chattanooga, TN-GA 58.9         255.5 -2  M 
    158 Lawrence-Methuen Town-Salem, MA-NH NECTA Div 58.9           82.6 -116  S 
    159 Ann Arbor, MI 58.7         220.3 7  M 
    160 Knoxville, TN 58.6         395.7 -52  M 
    161 Panama City, FL 58.5           82.6 10  S 
    162 Barnstable Town, MA NECTA 58.5         100.6 3  S 
    163 Eugene, OR 58.5         158.4 10  M 
    164 Corvallis, OR 58.0           42.2 8  S 
    165 Lansing-East Lansing, MI 57.7         235.5 122  M 
    166 Santa Maria-Santa Barbara, CA 57.6         182.9 -44  M 
    167 Grand Forks, ND-MN 57.5           59.0 103  S 
    168 Brockton-Bridgewater-Easton, MA NECTA Div 57.4           81.6 -47  S 
    169 Lafayette-West Lafayette, IN 57.4         104.8 -27  S 
    170 Clarksville, TN-KY 57.0           89.8 -97  S 
    171 Brunswick, GA 57.0           43.5 15  S 
    172 Richmond, VA 56.8         666.4 -119  L 
    173 Tallahassee, FL 55.9         181.7 141  M 
    174 Tuscaloosa, AL 55.7         105.9 -73  S 
    175 Cincinnati, OH-KY-IN 55.6      1,087.6 43  L 
    176 Athens-Clarke County, GA 55.5           94.4 -63  S 
    177 Flagstaff, AZ 55.3           66.2 1  S 
    178 Minneapolis-St. Paul-Bloomington, MN-WI 54.9      1,964.8 1  L 
    179 Lancaster, PA 54.8         250.3 6  M 
    180 Calvert-Charles-Prince George’s, MD 54.5         404.3 35  M 
    181 Pueblo, CO 54.3           62.2 -32  S 
    182 Appleton, WI 54.0         125.9 18  S 
    183 El Centro, CA 53.8           53.0 -27  S 
    184 Kalamazoo-Portage, MI 53.5         148.2 27  S 
    185 Omaha-Council Bluffs, NE-IA 53.3         500.1 7  L 
    186 Missoula, MT 53.2           59.8 -9  S 
    187 Nassau County-Suffolk County, NY Metro Div 52.6      1,337.8 65  L 
    188 Billings, MT 52.5           84.9 -71  S 
    189 Salisbury, MD-DE 52.3         149.7 -65  S 
    190 Manchester, NH NECTA 51.8         110.9 -37  S 
    191 Baton Rouge, LA 51.7         405.2 -97  M 
    192 Hattiesburg, MS 51.5           64.4 -34  S 
    193 Manhattan, KS 51.4           44.6 -113  S 
    194 Morristown, TN 51.3           46.2 4  S 
    195 Urban Honolulu, HI 50.9         481.1 8  L 
    196 Columbia, MO 50.5           99.9 -98  S 
    197 Camden, NJ Metro Div 50.1         540.4 75  L 
    198 Yuma, AZ 49.8           55.9 21  S 
    199 St. Cloud, MN 49.4         108.4 -54  S 
    200 Oxnard-Thousand Oaks-Ventura, CA 49.3         305.9 101  M 
    201 Florence, SC 48.9           88.2 -4  S 
    202 Las Cruces, NM 48.5           73.2 141  S 
    203 Rochester, MN 48.4         118.5 7  S 
    204 La Crosse-Onalaska, WI-MN 48.3           79.0 70  S 
    205 Rapid City, SD 48.0           65.8 99  S 
    206 Springfield, MA-CT NECTA 47.5         334.8 79  M 
    207 Hinesville, GA 47.2           20.3 126  S 
    208 Albany-Schenectady-Troy, NY 47.0         466.5 102  L 
    209 Toledo, OH 46.8         313.5 32  M 
    210 Fort Wayne, IN 46.7         221.0 -30  M 
    211 Warner Robins, GA 46.7           73.3 125  S 
    212 Chicago-Naperville-Arlington Heights, IL Metro Div 46.7      3,717.2 -8  L 
    213 Portland-South Portland, ME NECTA 46.7         200.9 100  M 
    214 Mankato-North Mankato, MN 46.6           57.7 6  S 
    215 Hagerstown-Martinsburg, MD-WV 46.4         108.9 87  S 
    216 Amarillo, TX 46.3         121.4 -21  S 
    217 Dover, DE 45.9           69.3 0  S 
    218 Delaware County, PA 45.9         235.9 37  M 
    219 Burlington, NC 45.9           61.7 102  S 
    220 Oshkosh-Neenah, WI 45.9           96.8 64  S 
    221 Bismarck, ND 45.8           73.5 -119  S 
    222 Topeka, KS 45.7         113.4 155  S 
    223 Pocatello, ID 45.6           35.8 -48  S 
    224 Montgomery County-Bucks County-Chester County, PA Metro Div 45.5      1,058.2 40  L 
    225 Framingham, MA NECTA Div 45.5         173.9 1  M 
    226 Worcester, MA-CT NECTA 45.2         284.1 32  M 
    227 Oklahoma City, OK 45.0         628.3 -94  L 
    228 Lawrence, KS 44.9           54.7 40  S 
    229 Orange-Rockland-Westchester, NY 44.9         712.1 -13  L 
    230 Lake Havasu City-Kingman, AZ 44.8           48.5 75  S 
    231 Gadsden, AL 44.5           38.6 6  S 
    232 Sheboygan, WI 44.5           61.8 90  S 
    233 Lewiston-Auburn, ME NECTA 44.2           51.7 50  S 
    234 Janesville-Beloit, WI 43.7           67.6 -88  S 
    235 Bakersfield, CA 43.5         258.1 -126  M 
    236 Midland, TX 43.2           87.5 -97  S 
    237 Fond du Lac, WI 42.9           48.4 56  S 
    238 Staunton-Waynesboro, VA 42.7           50.8 116  S 
    239 Lynn-Saugus-Marblehead, MA NECTA Div 42.7           45.2 -8  S 
    240 Lebanon, PA 42.7           52.0 87  S 
    241 Jackson, MS 42.6         280.2 10  M 
    242 Macon, GA 42.6         103.5 -43  S 
    243 Bergen-Hudson-Passaic, NJ 42.6         928.9 26  L 
    244 Hanford-Corcoran, CA 42.2           38.5 -90  S 
    245 Rome, GA 42.0           41.3 72  S 
    246 South Bend-Mishawaka, IN-MI 41.8         142.9 -32  S 
    247 Gettysburg, PA 41.5           34.8 106  S 
    248 Hammond, LA 41.5           45.1 92  S 
    249 Glens Falls, NY 41.4           54.9 67  S 
    250 New Orleans-Metairie, LA 41.2         577.0 -42  L 
    251 State College, PA 41.2           78.0 81  S 
    252 Bremerton-Silverdale, WA 40.9           89.1 -69  S 
    253 Memphis, TN-MS-AR 40.7         646.2 7  L 
    254 Nashua, NH-MA NECTA Div 40.7         129.3 77  S 
    255 Morgantown, WV 40.6           70.9 -85  S 
    256 Blacksburg-Christiansburg-Radford, VA 40.6           77.5 -51  S 
    257 St. Louis, MO-IL 40.6      1,368.7 16  L 
    258 Vineland-Bridgeton, NJ 40.5           60.1 132  S 
    259 Silver Spring-Frederick-Rockville, MD Metro Div 40.5         598.0 -23  L 
    260 Burlington-South Burlington, VT NECTA 40.5         124.9 -117  S 
    261 Springfield, IL 40.4         115.7 42  S 
    262 Battle Creek, MI 40.1           59.4 5  S 
    263 Peabody-Salem-Beverly, MA NECTA Div 40.0           97.1 49  S 
    264 Longview, WA 39.9           39.1 -124  S 
    265 Ocean City, NJ 39.6           35.9 -114  S 
    266 Owensboro, KY 39.3           53.5 -73  S 
    267 Harrisburg-Carlisle, PA 39.2         339.0 -24  M 
    268 St. Joseph, MO-KS 39.2           63.9 26  S 
    269 Greenville, NC 39.1           79.3 -16  S 
    270 Winston-Salem, NC 39.0         262.3 -23  M 
    271 Hickory-Lenoir-Morganton, NC 38.9         151.9 110  M 
    272 Grand Island, NE 38.8           42.5 93  S 
    273 Valdosta, GA 38.8           56.5 4  S 
    274 Allentown-Bethlehem-Easton, PA-NJ 38.5         361.6 -49  M 
    275 Leominster-Gardner, MA NECTA 38.4           51.8 -12  S 
    276 Buffalo-Cheektowaga-Niagara Falls, NY 38.1         565.7 86  L 
    277 Reading, PA 37.6         178.5 -64  M 
    278 San Angelo, TX 37.6           48.8 -130  S 
    279 Gary, IN Metro Div 37.1         280.2 73  M 
    280 Dubuque, IA 36.8           60.2 -116  S 
    281 Danbury, CT NECTA 36.7           79.5 -2  S 
    282 Wausau, WI 36.7           73.0 -52  S 
    283 Dalton, GA 36.7           69.8 -26  S 
    284 Corpus Christi, TX 36.4         191.0 -161  M 
    285 Wilmington, DE-MD-NJ Metro Div 36.3         359.8 -118  M 
    286 Detroit-Dearborn-Livonia, MI Metro Div 36.1         753.3 23  L 
    287 Albuquerque, NM 36.1         390.1 55  M 
    288 East Stroudsburg, PA 35.9           57.7 67  S 
    289 Baltimore City, MD 35.8         367.5 59  M 
    290 York-Hanover, PA 35.8         184.5 -63  M 
    291 Little Rock-North Little Rock-Conway, AR 35.8         354.8 -53  M 
    292 Greensboro-High Point, NC 35.4         361.6 -44  M 
    293 Sumter, SC 34.8           39.2 -31  S 
    294 California-Lexington Park, MD 34.6           45.2 -23  S 
    295 Kankakee, IL 34.4           44.9 -4  S 
    296 Providence-Warwick, RI-MA NECTA 34.3         582.6 -16  L 
    297 Montgomery, AL 34.0         173.4 47  M 
    298 Bloomsburg-Berwick, PA 33.7           42.4 31  S 
    299 Monroe, MI 33.5           42.1 -147  S 
    300 Albany, GA 33.5           63.2 75  S 
    301 New Bern, NC 33.3           44.9 -13  S 
    302 Sioux City, IA-NE-SD 33.2           87.8 -93  S 
    303 Jackson, MI 33.0           57.4 98  S 
    304 Chambersburg-Waynesboro, PA 32.5           60.1 -179  S 
    305 Kingston, NY 32.4           62.0 36  S 
    306 Roanoke, VA 32.3         163.5 -17  M 
    307 Lake County-Kenosha County, IL-WI Metro Div 32.2         404.0 -74  M 
    308 Green Bay, WI 32.0         173.9 -22  M 
    309 Florence-Muscle Shoals, AL 31.4           57.2 40  S 
    310 Birmingham-Hoover, AL 31.4         522.9 14  L 
    311 Akron, OH 31.2         340.8 -99  M 
    312 Tulsa, OK 31.1         444.4 -90  M 
    313 Johnson City, TN 30.9           80.0 -16  S 
    314 Dayton, OH 30.7         385.4 -32  M 
    315 Fayetteville, NC 30.5         130.6 36  S 
    316 Evansville, IN-KY 30.4         159.0 31  M 
    317 Taunton-Middleborough-Norton, MA NECTA Div 30.3           59.5 18  S 
    318 Cheyenne, WY 30.1           46.0 -112  S 
    319 Jacksonville, NC 30.1           49.0 -19  S 
    320 Odessa, TX 29.9           69.7 -144  S 
    321 Carson City, NV 29.6           28.6 89  S 
    322 Niles-Benton Harbor, MI 28.9           61.1 -46  S 
    323 Eau Claire, WI 28.9           85.2 -58  S 
    324 Rochester, NY 28.8         532.9 52  L 
    325 Duluth, MN-WI 28.8         135.3 47  S 
    326 Jefferson City, MO 28.6           77.3 67  S 
    327 Tucson, AZ 28.5         377.8 -93  M 
    328 Cedar Rapids, IA 28.4         143.9 -29  S 
    329 Monroe, LA 28.3           79.5 17  S 
    330 Champaign-Urbana, IL 28.1         109.8 -7  S 
    331 Muncie, IN 28.1           52.0 -75  S 
    332 Virginia Beach-Norfolk-Newport News, VA-NC 27.9         768.4 -13  L 
    333 Victoria, TX 27.9           42.2 -218  S 
    334 Milwaukee-Waukesha-West Allis, WI 27.7         857.0 -26  L 
    335 Cleveland-Elyria, OH 27.7      1,051.8 2  L 
    336 Hartford-West Hartford-East Hartford, CT NECTA 27.6         571.5 -30  L 
    337 Mobile, AL 27.5         179.0 23  M 
    338 Kingsport-Bristol-Bristol, TN-VA 27.5         122.4 -48  S 
    339 Abilene, TX 27.4           68.3 -28  S 
    340 Midland, MI 27.3           37.4 -95  S 
    341 Bloomington, IN 26.5           77.5 47  S 
    342 Pittsburgh, PA 26.4      1,165.0 14  L 
    343 Norwich-New London-Westerly, CT-RI NECTA 26.4         129.0 27  S 
    344 New Haven, CT NECTA 26.0         281.7 -16  M 
    345 Santa Fe, NM 26.0           63.5 -53  S 
    346 Canton-Massillon, OH 25.7         171.7 -8  M 
    347 Syracuse, NY 25.6         317.6 35  M 
    348 Elgin, IL Metro Div 25.1         253.1 -102  M 
    349 Hot Springs, AR 24.9           37.5 1  S 
    350 Watertown-Fort Drum, NY 24.8           42.0 -20  S 
    351 Saginaw, MI 24.8           89.1 -97  S 
    352 Lawton, OK 24.8           45.9 -26  S 
    353 Terre Haute, IN 24.6           71.6 34  S 
    354 Great Falls, MT 24.5           35.9 -9  S 
    355 Wichita, KS 24.0         296.9 -57  M 
    356 Texarkana, TX-AR 23.8           60.6 -90  S 
    357 Homosassa Springs, FL 23.8           33.3 -23  S 
    358 Flint, MI 23.4         140.7 21  S 
    359 Newark, NJ-PA Metro Div 23.2      1,193.8 -20  L 
    360 Lima, OH 23.1           52.9 -53  S 
    361 Gulfport-Biloxi-Pascagoula, MS 23.1         154.0 2  M 
    362 Grand Junction, CO 22.7           60.9 -87  S 
    363 Columbus, GA-AL 22.7         121.5 5  S 
    364 Dothan, AL 22.4           57.8 35  S 
    365 Lynchburg, VA 22.0         104.5 1  S 
    366 Anchorage, AK 22.0         173.7 -88  M 
    367 Scranton–Wilkes-Barre–Hazleton, PA 21.8         261.1 6  M 
    368 Bridgeport-Stamford-Norwalk, CT NECTA 21.4         407.9 -50  M 
    369 Muskegon, MI 21.2           62.7 -108  S 
    370 Casper, WY 21.1           37.1 -89  S 
    371 Joplin, MO 20.6           80.9 -56  S 
    372 Fort Smith, AR-OK 20.6         113.9 8  S 
    373 Utica-Rome, NY 20.5         126.5 19  S 
    374 Waterloo-Cedar Falls, IA 20.4           91.1 0  S 
    375 Cumberland, MD-WV 20.3           39.2 38  S 
    376 Cape Girardeau, MO-IL 20.1           44.5 -7  S 
    377 Racine, WI 20.0           76.9 7  S 
    378 Bangor, ME NECTA 20.0           66.4 -19  S 
    379 Carbondale-Marion, IL 19.8           57.2 -147  S 
    380 Davenport-Moline-Rock Island, IA-IL 19.1         182.9 25  M 
    381 Longview, TX 19.1           96.8 -61  S 
    382 Rocky Mount, NC 19.0           58.0 16  S 
    383 Bay City, MI 18.9           36.4 17  S 
    384 Altoona, PA 17.7           60.7 -23  S 
    385 Houma-Thibodaux, LA 17.6           86.5 -60  S 
    386 Mansfield, OH 17.3           52.6 22  S 
    387 Rockford, IL 17.0         150.0 -137  S 
    388 Binghamton, NY 16.6         104.3 29  S 
    389 Pittsfield, MA NECTA 16.1           41.4 -145  S 
    390 Atlantic City-Hammonton, NJ 15.8         128.3 29  S 
    391 Beaumont-Port Arthur, TX 15.7         163.7 -168  M 
    392 Decatur, IL 15.5           51.4 -14  S 
    393 Dutchess County-Putnam County, NY Metro Div 15.4         143.5 -22  S 
    394 Alexandria, LA 15.0           63.2 -30  S 
    395 Huntington-Ashland, WV-KY-OH 14.8         138.8 12  S 
    396 Waterbury, CT NECTA 14.4           67.0 -7  S 
    397 Pine Bluff, AR 14.0           33.5 23  S 
    398 Lafayette, LA 14.0         198.5 -40  M 
    399 Farmington, NM 14.0           48.4 -103  S 
    400 Decatur, AL 13.0           53.6 4  S 
    401 Youngstown-Warren-Boardman, OH-PA 12.5         223.7 -7  M 
    402 Erie, PA 11.7         127.8 -17  S 
    403 Anniston-Oxford-Jacksonville, AL 11.6           45.8 12  S 
    404 Wheeling, WV-OH 11.3           66.4 -8  S 
    405 Goldsboro, NC 11.2           41.7 -48  S 
    406 Wichita Falls, TX 10.7           57.5 -15  S 
    407 Sierra Vista-Douglas, AZ 10.3           34.5 11  S 
    408 Michigan City-La Porte, IN 10.3           41.3 3  S 
    409 Fairbanks, AK 10.2           36.1 -14  S 
    410 Williamsport, PA 10.2           53.3 -27  S 
    411 Bloomington, IL 9.6           93.0 -9  S 
    412 Shreveport-Bossier City, LA 9.5         180.1 -9  M 
    413 Springfield, OH 9.3           49.6 -7  S 
    414 Parkersburg-Vienna, WV 9.1           40.8 0  S 
    415 Danville, IL 8.7           28.6 -48  S 
    416 Elmira, NY 8.6           37.7 -7  S 
    417 Peoria, IL 7.2         173.0 -31  M 
    418 Weirton-Steubenville, WV-OH 6.8           41.0 -21  S 
    419 Charleston, WV 6.0         118.9 -3  S 
    420 Johnstown, PA 4.3           55.6 1  S 
    421 Beckley, WV 3.5           44.7 -9  S 

     

  • Large Cities Rankings – 2017 Best Cities for Job Growth

    Read about how we selected the 2017 Best Cities for Job Growth

    2017 Large MSA Ranking Area 2017
    Weighted INDEX
    2016 Nonfarm Employment (1000s) Size Movement 2016-2017
    1 Dallas-Plano-Irving, TX Metro Div 96.4        2,554.6 4
    2 San Francisco-Redwood City-South San Francisco, CA Metro Div 96.2        1,108.6 -1
    3 Nashville-Davidson–Murfreesboro–Franklin, TN 95.5           968.8 1
    4 Charlotte-Concord-Gastonia, NC-SC 93.2        1,170.0 4
    5 Orlando-Kissimmee-Sanford, FL 93.1        1,233.2 -2
    6 Salt Lake City, UT 92.6           713.6 9
    7 Austin-Round Rock, TX 92.6        1,015.4 -1
    8 San Jose-Sunnyvale-Santa Clara, CA 92.1        1,084.7 -6
    9 Seattle-Bellevue-Everett, WA Metro Div 90.4        1,664.4 2
    10 Raleigh, NC 89.7           610.1 -1
    11 Denver-Aurora-Lakewood, CO 87.1        1,442.3 -4
    12 San Antonio-New Braunfels, TX 85.8        1,027.9 0
    13 Atlanta-Sandy Springs-Roswell, GA 84.4        2,721.2 0
    14 Riverside-San Bernardino-Ontario, CA 82.7        1,436.3 0
    15 West Palm Beach-Boca Raton-Delray Beach, FL Metro Div 81.6           623.6 4
    16 Portland-Vancouver-Hillsboro, OR-WA 80.5        1,153.4 -6
    17 Grand Rapids-Wyoming, MI 79.7           551.2 10
    18 Miami-Miami Beach-Kendall, FL Metro Div 78.7        1,180.1 4
    19 Tampa-St. Petersburg-Clearwater, FL 78.5        1,321.1 6
    20 Louisville/Jefferson County, KY-IN 78.4           670.8 6
    21 Las Vegas-Henderson-Paradise, NV 77.5           964.6 0
    22 Jacksonville, FL 76.9           677.5 -4
    23 Oakland-Hayward-Berkeley, CA Metro Div 76.8        1,150.1 9
    24 Indianapolis-Carmel-Anderson, IN 76.5        1,056.9 7
    25 New York City, NY 75.6        4,388.9 -9
    26 Columbus, OH 75.6        1,077.8 4
    27 Phoenix-Mesa-Scottsdale, AZ 74.8        2,015.6 -10
    28 Fort Worth-Arlington, TX Metro Div 74.0        1,023.6 0
    29 San Diego-Carlsbad, CA 72.8        1,439.0 0
    30 Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metro Div 71.8           836.9 -7
    31 Boston-Cambridge-Newton, MA NECTA Division 71.8        1,831.6 4
    32 Kansas City, MO 71.6           608.6 11
    33 Sacramento–Roseville–Arden-Arcade, CA 69.3           958.1 5
    34 Philadelphia City, PA 65.6           714.0 17
    35 Warren-Troy-Farmington Hills, MI Metro Div 64.4        1,236.6 1
    36 Middlesex-Monmouth-Ocean, NJ 62.4           895.9 4
    37 Anaheim-Santa Ana-Irvine, CA Metro Div 61.7        1,592.2 -4
    38 Houston-The Woodlands-Sugar Land, TX 61.7        3,017.5 -14
    39 Northern Virginia, VA 60.5        1,449.9 5
    40 Los Angeles-Long Beach-Glendale, CA Metro Div 60.5        4,442.2 2
    41 Kansas City, KS 59.4           469.2 -7
    42 Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Div 59.1        2,653.9 -3
    43 Richmond, VA 56.8           666.4 -23
    44 Cincinnati, OH-KY-IN 55.6        1,087.6 6
    45 Minneapolis-St. Paul-Bloomington, MN-WI 54.9        1,964.8 -4
    46 Omaha-Council Bluffs, NE-IA 53.3           500.1 -1
    47 Nassau County-Suffolk County, NY Metro Div 52.6        1,337.8 6
    48 Urban Honolulu, HI 50.9           481.1 -2
    49 Camden, NJ Metro Div 50.1           540.4 8
    50 Albany-Schenectady-Troy, NY 47.0           466.5 13
    51 Chicago-Naperville-Arlington Heights, IL Metro Div 46.7        3,717.2 -4
    52 Montgomery County-Bucks County-Chester County, PA Metro Div 45.5        1,058.2 3
    53 Oklahoma City, OK 45.0           628.3 -16
    54 Orange-Rockland-Westchester, NY 44.9           712.1 -5
    55 Bergen-Hudson-Passaic, NJ 42.6           928.9 1
    56 New Orleans-Metairie, LA 41.2           577.0 -8
    57 Memphis, TN-MS-AR 40.7           646.2 -3
    58 St. Louis, MO-IL 40.6        1,368.7 0
    59 Silver Spring-Frederick-Rockville, MD Metro Div 40.5           598.0 -7
    60 Buffalo-Cheektowaga-Niagara Falls, NY 38.1           565.7 9
    61 Detroit-Dearborn-Livonia, MI Metro Div 36.1           753.3 1
    62 Providence-Warwick, RI-MA NECTA 34.3           582.6 -3
    63 Birmingham-Hoover, AL 31.4           522.9 2
    64 Rochester, NY 28.8           532.9 6
    65 Virginia Beach-Norfolk-Newport News, VA-NC 27.9           768.4 -1
    66 Milwaukee-Waukesha-West Allis, WI 27.7           857.0 -5
    67 Cleveland-Elyria, OH 27.7        1,051.8 -1
    68 Hartford-West Hartford-East Hartford, CT NECTA 27.6           571.5 -8
    69 Pittsburgh, PA 26.4        1,165.0 -1
    70 Newark, NJ-PA Metro Div 23.2        1,193.8 -3

     

  • Mid Sized Cities Rankings – 2017 Best Cities for Job Growth

    Read about how we selected the 2017 Best Cities for Job Growth

     

    2017 Midsized MSA Rankings Area Weighted INDEX 2016 Nonfarm Employment (1000s) Size Movement 2016-2017
    1 Provo-Orem, UT 99.0         243.4 0
    2 Fayetteville-Springdale-Rogers, AR-MO 95.6         249.5 0
    3 Fort Collins, CO 94.3         162.6 0
    4 Charleston-North Charleston, SC 92.6         350.5 3
    5 Boise City, ID 92.0         311.0 3
    6 Ogden-Clearfield, UT 90.7         249.8 -2
    7 Savannah, GA 86.6         177.9 -2
    8 Cape Coral-Fort Myers, FL 84.6         262.6 -2
    9 Tacoma-Lakewood, WA Metro Div 84.2         309.8 11
    10 Boulder, CO 83.6         188.2 7
    11 North Port-Sarasota-Bradenton, FL 83.4         301.9 4
    12 Fresno, CA 78.7         339.1 0
    13 Asheville, NC 78.2         188.7 5
    14 Trenton, NJ 78.0         269.6 0
    15 Stockton-Lodi, CA 76.4         227.9 -5
    16 Modesto, CA 76.3         173.5 11
    17 Salem, OR 76.1         162.1 2
    18 El Paso, TX 75.7         315.1 7
    19 Colorado Springs, CO 75.6         281.6 3
    20 Reno, NV 74.5         225.1 10
    21 Des Moines-West Des Moines, IA 74.0         360.1 16
    22 Deltona-Daytona Beach-Ormond Beach, FL 73.5         199.3 13
    23 Sioux Falls, SD 72.8         153.4 -12
    24 Lexington-Fayette, KY 72.1         281.2 0
    25 Durham-Chapel Hill, NC 71.4         307.1 14
    26 Lakeland-Winter Haven, FL 71.3         219.6 10
    27 Myrtle Beach-Conway-North Myrtle Beach, SC-NC 71.0         154.1 -18
    28 McAllen-Edinburg-Mission, TX 70.8         256.4 -2
    29 Greenville-Anderson-Mauldin, SC 69.9         412.4 -16
    30 Santa Rosa, CA 69.4         202.0 -14
    31 Lowell-Billerica-Chelmsford, MA-NH NECTA Div 67.6         155.0 18
    32 Huntsville, AL 66.0         228.8 17
    33 Madison, WI 65.0         399.4 5
    34 Augusta-Richmond County, GA-SC 64.8         237.3 27
    35 Pensacola-Ferry Pass-Brent, FL 64.4         174.3 12
    36 Springfield, MO 64.4         212.6 -5
    37 Spokane-Spokane Valley, WA 61.3         242.3 11
    38 Palm Bay-Melbourne-Titusville, FL 59.8         213.4 24
    39 Columbia, SC 59.4         395.4 -18
    40 Lincoln, NE 59.4         189.9 5
    41 Chattanooga, TN-GA 58.9         255.5 -1
    42 Ann Arbor, MI 58.7         220.3 -1
    43 Knoxville, TN 58.6         395.7 -15
    44 Eugene, OR 58.5         158.4 -1
    45 Lansing-East Lansing, MI 57.7         235.5 31
    46 Santa Maria-Santa Barbara, CA 57.6         182.9 -14
    47 Tallahassee, FL 55.9         181.7 34
    48 Lancaster, PA 54.8         250.3 -2
    49 Calvert-Charles-Prince George’s, MD 54.5         404.3 3
    50 Baton Rouge, LA 51.7         405.2 -27
    51 Oxnard-Thousand Oaks-Ventura, CA 49.3         305.9 28
    52 Springfield, MA-CT NECTA 47.5         334.8 22
    53 Toledo, OH 46.8         313.5 10
    54 Fort Wayne, IN 46.7         221.0 -10
    55 Portland-South Portland, ME NECTA 46.7         200.9 25
    56 Delaware County, PA 45.9         235.9 14
    57 Framingham, MA NECTA Div 45.5         173.9 -1
    58 Worcester, MA-CT NECTA 45.2         284.1 13
    59 Bakersfield, CA 43.5         258.1 -30
    60 Jackson, MS 42.6         280.2 9
    61 Harrisburg-Carlisle, PA 39.2         339.0 3
    62 Winston-Salem, NC 39.0         262.3 4
    63 Hickory-Lenoir-Morganton, NC 38.9         151.9 31
    64 Allentown-Bethlehem-Easton, PA-NJ 38.5         361.6 -9
    65 Reading, PA 37.6         178.5 -14
    66 Gary, IN Metro Div 37.1         280.2 23
    67 Corpus Christi, TX 36.4         191.0 -34
    68 Wilmington, DE-MD-NJ Metro Div 36.3         359.8 -26
    69 Albuquerque, NM 36.1         390.1 16
    70 Baltimore City, MD 35.8         367.5 18
    71 York-Hanover, PA 35.8         184.5 -14
    72 Little Rock-North Little Rock-Conway, AR 35.8         354.8 -12
    73 Greensboro-High Point, NC 35.4         361.6 -6
    74 Montgomery, AL 34.0         173.4 12
    75 Roanoke, VA 32.3         163.5 2
    76 Lake County-Kenosha County, IL-WI Metro Div 32.2         404.0 -18
    77 Green Bay, WI 32.0         173.9 -2
    78 Akron, OH 31.2         340.8 -28
    79 Tulsa, OK 31.1         444.4 -26
    80 Dayton, OH 30.7         385.4 -7
    81 Evansville, IN-KY 30.4         159.0 6
    82 Tucson, AZ 28.5         377.8 -23
    83 Mobile, AL 27.5         179.0 8
    84 New Haven, CT NECTA 26.0         281.7 -1
    85 Canton-Massillon, OH 25.7         171.7 -1
    86 Syracuse, NY 25.6         317.6 8
    87 Elgin, IL Metro Div 25.1         253.1 -22
    88 Wichita, KS 24.0         296.9 -10
    89 Gulfport-Biloxi-Pascagoula, MS 23.1         154.0 3
    90 Anchorage, AK 22.0         173.7 -18
    91 Scranton–Wilkes-Barre–Hazleton, PA 21.8         261.1 2
    92 Bridgeport-Stamford-Norwalk, CT NECTA 21.4         407.9 -10
    93 Davenport-Moline-Rock Island, IA-IL 19.1         182.9 5
    94 Beaumont-Port Arthur, TX 15.7         163.7 -40
    95 Lafayette, LA 14.0         198.5 -5
    96 Youngstown-Warren-Boardman, OH-PA 12.5         223.7 0
    97 Shreveport-Bossier City, LA 9.5         180.1 0
    98 Peoria, IL 7.2         173.0 -3

     

  • Small Cities Rankings – 2017 Best Cities for Job Growth

    Read about how we selected the 2017 Best Cities for Job Growth

    2017 Small MSA Ranking Area Weighted INDEX 2016 Nonfarm Employment (1000s) Size Movement 2016 to 2017
    1 Lake Charles, LA 97.1          111.3 5
    2 St. George, UT 96.5            61.8 -1
    3 The Villages, FL 94.1            27.9 4
    4 Gainesville, GA 93.8            88.4 -2
    5 Olympia-Tumwater, WA 89.7          114.7 32
    6 Wenatchee, WA 89.5            44.1 4
    7 Auburn-Opelika, AL 89.3            63.8 14
    8 Bend-Redmond, OR 88.0            78.5 -3
    9 Daphne-Fairhope-Foley, AL 86.1            71.4 -1
    10 Coeur d’Alene, ID 85.6            60.6 5
    11 Killeen-Temple, TX 83.4          146.5 20
    12 Elkhart-Goshen, IN 83.1          132.7 14
    13 Punta Gorda, FL 80.8            48.9 17
    14 Portsmouth, NH-ME NECTA 80.6            90.6 0
    15 Bowling Green, KY 80.2            76.3 31
    16 Port St. Lucie, FL 79.9          146.4 1
    17 Merced, CA 79.4            65.7 25
    18 Naples-Immokalee-Marco Island, FL 79.3          145.2 0
    19 Spartanburg, SC 79.2          149.4 13
    20 Wilmington, NC 77.7          123.5 35
    21 Cleveland, TN 77.7            51.7 39
    22 Jonesboro, AR 77.6            56.5 -9
    23 Visalia-Porterville, CA 77.3          125.6 0
    24 College Station-Bryan, TX 76.8          116.5 -13
    25 Idaho Falls, ID 76.7            63.9 10
    26 Bellingham, WA 76.5            92.0 57
    27 Columbus, IN 75.1            52.9 -24
    28 Santa Cruz-Watsonville, CA 74.9          101.4 36
    29 Chico, CA 74.8            81.7 41
    30 Kennewick-Richland, WA 74.3          110.6 18
    31 Haverhill-Newburyport-Amesbury Town, MA-NH NECTA Div 73.9            66.2 -19
    32 Sebastian-Vero Beach, FL 73.3            52.1 26
    33 San Luis Obispo-Paso Robles-Arroyo Grande, CA 72.3          114.5 -13
    34 Gainesville, FL 72.2          143.3 47
    35 Logan, UT-ID 72.1            60.9 -8
    36 Madera, CA 72.1            37.3 18
    37 Dover-Durham, NH-ME NECTA 71.6            54.6 90
    38 Fargo, ND-MN 71.5          142.2 -13
    39 San Rafael, CA Metropolitan Div 71.4          115.9 8
    40 Laredo, TX 71.2          104.2 -18
    41 Napa, CA 71.2            70.9 -37
    42 Lubbock, TX 71.0          146.9 -1
    43 Yakima, WA 71.0            84.5 24
    44 Brownsville-Harlingen, TX 70.9          143.0 17
    45 Charlottesville, VA 70.8          115.5 -17
    46 Waco, TX 70.2          119.8 52
    47 Iowa City, IA 70.1          101.9 33
    48 Yuba City, CA 69.9            43.4 11
    49 Crestview-Fort Walton Beach-Destin, FL 69.6          109.8 50
    50 Greeley, CO 68.9          100.3 -41
    51 Salinas, CA 68.8          137.9 0
    52 Vallejo-Fairfield, CA 68.7          137.2 -12
    53 Tyler, TX 68.5          106.0 -4
    54 Medford, OR 68.3            86.2 19
    55 Hilton Head Island-Bluffton-Beaufort, SC 67.9            75.5 -36
    56 Kokomo, IN 67.7            42.4 64
    57 Albany, OR 67.6            44.0 68
    58 Lewiston, ID-WA 66.9            28.7 61
    59 Grants Pass, OR 66.3            25.8 23
    60 Ocala, FL 65.4          103.5 51
    61 Sebring, FL 64.9            27.1 60
    62 Redding, CA 64.0            66.1 39
    63 Walla Walla, WA 63.4            28.2 72
    64 Elizabethtown-Fort Knox, KY 62.5            57.2 -25
    65 Prescott, AZ 62.5            62.6 -31
    66 Harrisonburg, VA 62.0            68.4 93
    67 Kahului-Wailuku-Lahaina, HI 61.8            75.2 -29
    68 Winchester, VA-WV 61.7            62.5 -44
    69 Mount Vernon-Anacortes, WA 61.3            49.1 22
    70 Ames, IA 61.0            54.0 -41
    71 Jackson, TN 60.6            68.8 37
    72 Sherman-Denison, TX 60.3            46.7 15
    73 Ithaca, NY 59.7            64.9 57
    74 New Bedford, MA NECTA 59.3            68.2 12
    75 Lawrence-Methuen Town-Salem, MA-NH NECTA Div 58.9            82.6 -59
    76 Panama City, FL 58.5            82.6 13
    77 Barnstable Town, MA NECTA 58.5          100.6 8
    78 Corvallis, OR 58.0            42.2 12
    79 Grand Forks, ND-MN 57.5            59.0 64
    80 Brockton-Bridgewater-Easton, MA NECTA Div 57.4            81.6 -24
    81 Lafayette-West Lafayette, IN 57.4          104.8 -16
    82 Clarksville, TN-KY 57.0            89.8 -49
    83 Brunswick, GA 57.0            43.5 14
    84 Tuscaloosa, AL 55.7          105.9 -40
    85 Athens-Clarke County, GA 55.5            94.4 -35
    86 Flagstaff, AZ 55.3            66.2 9
    87 Pueblo, CO 54.3            62.2 -15
    88 Appleton, WI 54.0          125.9 19
    89 El Centro, CA 53.8            53.0 -11
    90 Kalamazoo-Portage, MI 53.5          148.2 24
    91 Missoula, MT 53.2            59.8 3
    92 Billings, MT 52.5            84.9 -39
    93 Salisbury, MD-DE 52.3          149.7 -36
    94 Manchester, NH NECTA 51.8          110.9 -18
    95 Hattiesburg, MS 51.5            64.4 -16
    96 Manhattan, KS 51.4            44.6 -60
    97 Morristown, TN 51.3            46.2 8
    98 Columbia, MO 50.5            99.9 -55
    99 Yuma, AZ 49.8            55.9 18
    100 St. Cloud, MN 49.4          108.4 -32
    101 Florence, SC 48.9            88.2 3
    102 Las Cruces, NM 48.5            73.2 89
    103 Rochester, MN 48.4          118.5 10
    104 La Crosse-Onalaska, WI-MN 48.3            79.0 41
    105 Rapid City, SD 48.0            65.8 61
    106 Hinesville, GA 47.2            20.3 79
    107 Warner Robins, GA 46.7            73.3 81
    108 Mankato-North Mankato, MN 46.6            57.7 10
    109 Hagerstown-Martinsburg, MD-WV 46.4          108.9 55
    110 Amarillo, TX 46.3          121.4 -8
    111 Dover, DE 45.9            69.3 5
    112 Burlington, NC 45.9            61.7 63
    113 Oshkosh-Neenah, WI 45.9            96.8 39
    114 Bismarck, ND 45.8            73.5 -69
    115 Topeka, KS 45.7          113.4 99
    116 Pocatello, ID 45.6            35.8 -24
    117 Lawrence, KS 44.9            54.7 25
    118 Lake Havasu City-Kingman, AZ 44.8            48.5 49
    119 Gadsden, AL 44.5            38.6 7
    120 Sheboygan, WI 44.5            61.8 56
    121 Lewiston-Auburn, ME NECTA 44.2            51.7 30
    122 Janesville-Beloit, WI 43.7            67.6 -53
    123 Midland, TX 43.2            87.5 -61
    124 Fond du Lac, WI 42.9            48.4 33
    125 Staunton-Waynesboro, VA 42.7            50.8 73
    126 Lynn-Saugus-Marblehead, MA NECTA Div 42.7            45.2 -3
    127 Lebanon, PA 42.7            52.0 53
    128 Macon, GA 42.6          103.5 -22
    129 Hanford-Corcoran, CA 42.2            38.5 -52
    130 Rome, GA 42.0            41.3 43
    131 South Bend-Mishawaka, IN-MI 41.8          142.9 -16
    132 Gettysburg, PA 41.5            34.8 65
    133 Hammond, LA 41.5            45.1 56
    134 Glens Falls, NY 41.4            54.9 38
    135 State College, PA 41.2            78.0 49
    136 Bremerton-Silverdale, WA 40.9            89.1 -40
    137 Nashua, NH-MA NECTA Div 40.7          129.3 46
    138 Morgantown, WV 40.6            70.9 -50
    139 Blacksburg-Christiansburg-Radford, VA 40.6            77.5 -30
    140 Vineland-Bridgeton, NJ 40.5            60.1 85
    141 Burlington-South Burlington, VT NECTA 40.5          124.9 -75
    142 Springfield, IL 40.4          115.7 23
    143 Battle Creek, MI 40.1            59.4 -2
    144 Peabody-Salem-Beverly, MA NECTA Div 40.0            97.1 26
    145 Longview, WA 39.9            39.1 -82
    146 Ocean City, NJ 39.6            35.9 -72
    147 Owensboro, KY 39.3            53.5 -47
    148 St. Joseph, MO-KS 39.2            63.9 10
    149 Greenville, NC 39.1            79.3 -18
    150 Grand Island, NE 38.8            42.5 54
    151 Valdosta, GA 38.8            56.5 -3
    152 Leominster-Gardner, MA NECTA 38.4            51.8 -14
    153 San Angelo, TX 37.6            48.8 -82
    154 Dubuque, IA 36.8            60.2 -70
    155 Danbury, CT NECTA 36.7            79.5 -6
    156 Wausau, WI 36.7            73.0 -34
    157 Dalton, GA 36.7            69.8 -23
    158 East Stroudsburg, PA 35.9            57.7 41
    159 Sumter, SC 34.8            39.2 -22
    160 California-Lexington Park, MD 34.6            45.2 -16
    161 Kankakee, IL 34.4            44.9 -6
    162 Bloomsburg-Berwick, PA 33.7            42.4 19
    163 Monroe, MI 33.5            42.1 -88
    164 Albany, GA 33.5            63.2 49
    165 New Bern, NC 33.3            44.9 -12
    166 Sioux City, IA-NE-SD 33.2            87.8 -54
    167 Jackson, MI 33.0            57.4 68
    168 Chambersburg-Waynesboro, PA 32.5            60.1 -111
    169 Kingston, NY 32.4            62.0 21
    170 Florence-Muscle Shoals, AL 31.4            57.2 24
    171 Johnson City, TN 30.9            80.0 -10
    172 Fayetteville, NC 30.5          130.6 24
    173 Taunton-Middleborough-Norton, MA NECTA Div 30.3            59.5 14
    174 Cheyenne, WY 30.1            46.0 -64
    175 Jacksonville, NC 30.1            49.0 -12
    176 Odessa, TX 29.9            69.7 -83
    177 Carson City, NV 29.6            28.6 65
    178 Niles-Benton Harbor, MI 28.9            61.1 -31
    179 Eau Claire, WI 28.9            85.2 -40
    180 Duluth, MN-WI 28.8          135.3 31
    181 Jefferson City, MO 28.6            77.3 47
    182 Cedar Rapids, IA 28.4          143.9 -20
    183 Monroe, LA 28.3            79.5 10
    184 Champaign-Urbana, IL 28.1          109.8 -7
    185 Muncie, IN 28.1            52.0 -52
    186 Victoria, TX 27.9            42.2 -134
    187 Kingsport-Bristol-Bristol, TN-VA 27.5          122.4 -33
    188 Abilene, TX 27.4            68.3 -19
    189 Midland, MI 27.3            37.4 -60
    190 Bloomington, IN 26.5            77.5 33
    191 Norwich-New London-Westerly, CT-RI NECTA 26.4          129.0 18
    192 Santa Fe, NM 26.0            63.5 -36
    193 Hot Springs, AR 24.9            37.5 2
    194 Watertown-Fort Drum, NY 24.8            42.0 -12
    195 Saginaw, MI 24.8            89.1 -63
    196 Lawton, OK 24.8            45.9 -17
    197 Terre Haute, IN 24.6            71.6 25
    198 Great Falls, MT 24.5            35.9 -6
    199 Texarkana, TX-AR 23.8            60.6 -59
    200 Homosassa Springs, FL 23.8            33.3 -14
    201 Flint, MI 23.4          140.7 15
    202 Lima, OH 23.1            52.9 -34
    203 Grand Junction, CO 22.7            60.9 -57
    204 Columbus, GA-AL 22.7          121.5 3
    205 Dothan, AL 22.4            57.8 28
    206 Lynchburg, VA 22.0          104.5 -1
    207 Muskegon, MI 21.2            62.7 -71
    208 Casper, WY 21.1            37.1 -58
    209 Joplin, MO 20.6            80.9 -38
    210 Fort Smith, AR-OK 20.6          113.9 7
    211 Utica-Rome, NY 20.5          126.5 16
    212 Waterloo-Cedar Falls, IA 20.4            91.1 0
    213 Cumberland, MD-WV 20.3            39.2 32
    214 Cape Girardeau, MO-IL 20.1            44.5 -6
    215 Racine, WI 20.0            76.9 5
    216 Bangor, ME NECTA 20.0            66.4 -15
    217 Carbondale-Marion, IL 19.8            57.2 -93
    218 Longview, TX 19.1            96.8 -44
    219 Rocky Mount, NC 19.0            58.0 13
    220 Bay City, MI 18.9            36.4 14
    221 Altoona, PA 17.7            60.7 -19
    222 Houma-Thibodaux, LA 17.6            86.5 -44
    223 Mansfield, OH 17.3            52.6 17
    224 Rockford, IL 17.0          150.0 -156
    225 Binghamton, NY 16.6          104.3 24
    226 Pittsfield, MA NECTA 16.1            41.4 -98
    227 Atlantic City-Hammonton, NJ 15.8          128.3 24
    228 Decatur, IL 15.5            51.4 -13
    229 Dutchess County-Putnam County, NY Metropolitan Div 15.4          143.5 -19
    230 Alexandria, LA 15.0            63.2 -27
    231 Huntington-Ashland, WV-KY-OH 14.8          138.8 8
    232 Waterbury, CT NECTA 14.4            67.0 -8
    233 Pine Bluff, AR 14.0            33.5 19
    234 Farmington, NM 14.0            48.4 -74
    235 Decatur, AL 13.0            53.6 2
    236 Erie, PA 11.7          127.8 -15
    237 Anniston-Oxford-Jacksonville, AL 11.6            45.8 10
    238 Wheeling, WV-OH 11.3            66.4 -8
    239 Goldsboro, NC 11.2            41.7 -39
    240 Wichita Falls, TX 10.7            57.5 -14
    241 Sierra Vista-Douglas, AZ 10.3            34.5 9
    242 Michigan City-La Porte, IN 10.3            41.3 1
    243 Fairbanks, AK 10.2            36.1 -14
    244 Williamsport, PA 10.2            53.3 -25
    245 Bloomington, IL 9.6            93.0 -9
    246 Springfield, OH 9.3            49.6 -8
    247 Parkersburg-Vienna, WV 9.1            40.8 -1
    248 Danville, IL 8.7            28.6 -42
    249 Elmira, NY 8.6            37.7 -8
    250 Weirton-Steubenville, WV-OH 6.8            41.0 -19
    251 Charleston, WV 6.0          118.9 -3
    252 Johnstown, PA 4.3            55.6 1
    253 Beckley, WV 3.5            44.7 -9

     

  • Best Cities for Jobs 2016

    best cities jobs main page