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  • European Style Going Out of Fashion at Ballot Box

    The recent political earthquake in Europe has great implications for the United States, both internationally and domestically. The unpopularity of European Union institutions produced record-breaking votes for a motley assortment of anti-establishment parties across the Continent, suggesting it’s time to stop looking across the Atlantic for role models as Europe’s dismal prospects have inspired the lowest levels of political support in several decades.

    Many of the parties that did best in the May 25 multinational balloting for the European Parliament – from Greece’s Far Left Syriza party to Britain’s oddball United Kingdom Independence Party and France’s historically racist National Front – are hardly ideal candidates for responsible governance. Yet, despite their many blemishes, these and other anti-EU parties fed on growing distaste for the 28-nation EU’s sprawling, largely unaccountable bureaucracy blamed for, in the words of one British group, “undermining” liberal democracy in these countries.

    This suggests that it’s time for Americans to stop looking across the Atlantic for role models. For decades, American gentry liberals have seen the EU as a superior mode of governance. Jeremy Rifkin’s 2005 book, “The European Dream” – and a host of similar tracts that all assert European superiority – now may seem absurd on their faces, but it’s doubtful many EU boosters, here and abroad, will let facts get in their way.

    The Urge to Merge

    The bigger loser in the May elections was the notion that more concentration of power leads to better results. Many American intellectuals and policy wonks favor handing ever-greater control to the “best and brightest” who run academia, much of the media and the bureaucracy. Figures, such as former Obama budget adviser Peter Orszag and New York Times columnist Thomas Friedman, argue that power should shift from naturally contentious elected bodies – subject to pressure from the lower orders – to credentialed “experts” operating in Washington, Brussels or the United Nations. This notion suggests the popular will is too lacking in scientific judgment and societal wisdom to be trusted with real authority.

    Yet, as the EU parliamentary elections suggest, people object to having details of their lives controlled from a great distance. Beyond the Right, many on the Left also nowoppose the Brussels-based EU for imposing austerity measures on several struggling economies. The British website Socialist Alternative saw the vote not just as a shift to the right but “a revolt against the capitalist establishment,” which remains, like the bureaucracy and media, devotedly pro-EU.

    In the United States, there is also mounting resistance to centralization. The 2010 congressional elections reflected a reaction to attempts by President Obama and his Democratic Party to put more of our lives under Washington’s control. Even now, less than two years after the president’s re-election, opposition to an extended federal role is, if anything, even stronger. Less than one in five Americans trust the federal government, and barely two in five see it as even capable of reversing the inequality. There may be a groundswell of support for the social democratic goals of the Great Depression’s New Deal, but likely not for the reimposing of its highly centralized policy prescriptions.

    Energy and Economy

    Pundits, such as the New York Times’ Paul Krugman, routinely describe Europe’s approach to economic, environmental and social policy as far more enlightened than that in the U.S. Wherever possible, progressives push European style in areas such as energy, with strong attempts to force a rapid conversion to “green” energy.

    Yet, there’s not much to cheer for in Europe’s energy policy. The attempt to turn the Continent into a renewable-energy superpower has been hampered by soaring prices. The policy has increased dependence on unreliable and expensive renewable power – as well as Russian natural gas – forcing some European countries, including Germany, to boost their use of coal, certainly not much of a victory against climate change.

    Ultimately, the consequences of high energy prices tend to fall, as they do here, on the middle and working classes, who see their electricity bills soar, along with the cost of gasoline. Some Europeans, in fact, may see their jobs threatened as employers look for lower-cost alternatives, including moving to energy-rich parts of the USA.

    Addressing Inequality

    In seeking out economic models that promote greater equality and upward mobility, many pundits look to Europe as a model. French economist Thomas Piketty’s influential book, “Capital in the Twenty-First Century,” argues that the only way to confront increasing income inequality and prevent deeper social fracturing is to expand the “social state” that forcibly redistributes wealth. In his mind, economic growth, traditionally a prime source of social uplift, is little more than a “illusory” solution.

    Like many American progressives, Piketty looks to governmental action as the sole force for greater equality. Financed by taxes on wealth, the “social state” would curb the rich, but would also empower the bureaucracy and other parts of the rising clerisy with unprecedented power.

    Yet recent European experience also provides little support for the benefits of redistribution, given the persistently high rates of unemployment across most of the EU. This is particularly true for much of the Continent’s youth, who are widely described as “the lost generation.”

    Just as in the United States, pervasive inequality and limited social mobility have been well documented in larger European countries, including France, which has among the world’s most evolved welfare states. This is true even in historically egalitarian Sweden, where, over the past 15 years, the gap between the wealthy and other classes has increased four times more rapidly than in the United States. As Europe’s population ages, and its economies stagnate, demands for redistribution may well increase, but the ability to pay will surely decline.

    Issue of Immigration

    Concern over immigration has been a key driver in mounting anti-EU sentiment. Immigration has always been a more contentious issue for Europeans, who generally belong to a single ethnic group and prefer something closer to homogeneity than to the kind of rolling ethnic evolution that characterizes the United States. This nativism has been painfully evidenced in recent decades in from everything from the violent breakup of Yugoslavia and the far more civilized dismantling of Czechoslovakia to France’s recent campaign against the Roma, Catalonia’s attempts to divorce from Spain, and even the upcoming vote on Scottish independence from the United Kingdom.

    During the boom times of the 1950s and ’60s, many European countries – France, Germany, Netherlands and the U.K. – invited hundreds of thousands of foreign workers, many from outside Europe. But with European labor markets far weaker, such an infusion seems to many middle- and working-class voters as a threat to their economic futures as well as to their identities.

    Immigration played a role in UKIP’s victory in Britain’s voting for European Parliament.Diversity in London, by some counts home to the world’s largest concentration of immigrants, thrills London’s media and business communities but stirs resentment, particularly among more working- and middle-class voters. The fact that as many as 87 percent of new jobs generated in the recovery go to immigrants has not warmed their sentiments.

    Future of the ‘nation-state’

    As we look to how to reform our own less-than-perfect union, adopting the European approach seems, at best, misguided. One does not have to share the Tea Party’s reflexively hostile view of government to see that attempts to expand control from Washington could, in the long run, create the very stagnation and often-ugly political reactions that we see in Europe today.

    More to the point, the drift toward an EU-like state works against the very structure of the American political community, designed to disperse power among various levels of government and varied constituencies. The tendency of administrations to rule through executive orders, or regulatory agencies, has been growing, particularly during the Obama years; a centralized state also could pose a threat to progressive Americans and their values under conservative rule.

    For America, this may be the biggest takeaway from Europe’s crisis. Our political culture, for all its problems, was designed to allow localities greater leeway in determining their own fates. There are many areas – water, air quality, arterial road infrastructure – that require cooperation along regional lines, but, for the most part, the best approach, whenever possible, is to allow localities to control their fates. It is a decentralized, bottom-up system that, for the most part, has performed far better over time than the dysfunctional blunderbuss that is the European Union.

    This article first appeared in the Orange County Register.

    Joel Kotkin is executive editor of NewGeography.com and Distinguished Presidential Fellow in Urban Futures at Chapman University, and a member of the editorial board of the Orange County Register. He is author of The City: A Global History and The Next Hundred Million: America in 2050. His most recent study, The Rise of Postfamilialism, has been widely discussed and distributed internationally. He lives in Los Angeles, CA.

  • Is Brazil Still the Country of the Future?

    Not long ago, Brazil was riding high. It was feted as one of the “BRIC” nations destined to be the next world economic powers. The commodities boom had its natural resources and agricultural sectors humming. The press – for example, Monocle magazine’s swooning over Brazil’s push to boost its diplomatic presence – was adoring. And Rio was awarded the 2014 World Cup and the 2016 Olympics, two events that were intended to both serve as a catalyst for further development, and also as a coming out party of sorts for the country.

    The World Cup is underway, but otherwise things haven’t quite worked out as Brazil thought they would. The average citizen of the country is upset at the vast sums being spent on international events that don’t benefit them. The last two years have featured riots, strikes, and various other expressions of unrest. Economic growth in the country has collapsed. In a special section last September, the Economist asked, “Has Brazil Blown It?

    Late last month the McKinsey Global Institute issued a major report on the country called “Connecting Brazil to the World: A Path to Inclusive Growth.” At 104 pages, it’s massive, but a must read for anybody interested in South America’s giant.

    And it’s a somewhat depressing read as well. Though there are immense strengths and opportunities for the future, Brazil has big problems too, most of them longstanding, and which hobble its aspirations.

    Brazil is the 7th largest economy in the world and the 7th leading destination for foreign direct investment. But it’s 95th in per capita GDP, 114th in the quality of its infrastructure, and 124th in its level of ease in trading across borders. Its export sector is also heavily commodity dependent, particularly oil. Ranked only 43rd in global connectedness on McKinsey’s index, they estimate a potential boost of 1.25% (presumably percentage points) to annual GDP growth from improvements on that measure alone.

    Three particular items jumped out at me from the study. One is the “custo Brasil” – the Brazil cost, so notorious it gets its own Wikipedia entry. A variety of factors from bureaucracy to the tax regime to an uncertain legal climate, poor infrastructure, crime, and corruption make the cost of doing business in Brazil very pricey indeed.

    The second is the very low rate of investment in the economy. Brazil’s gross investment rate as a percentage of GDP is 18%, compared with 26% in Chile, 29% in Mexico, 40% in India, and 49% in China. Conversely, government consumption is at 22% in Brazil vs. 12% in Chile and Mexico, 13% in India, and 14% in China. Private consumption is similar in the countries except for China, which is notably lower. This probably helps explain the poor state of the infrastructure in the country.

    The third is something I have personal experience with, namely protectionist trade barriers designed to create and sustain domestic industries in sectors like autos and computers. I suspect these rules were modeled on Japan, and more lately China, which used rules and business practices to build successful local champions. But in Brazil this has rendered its industry sclerotic. In effect, cars sold in Brazil have to be made in Brazil, ditto for computers, etc. This is where my personal experience comes in. When we were doing global PC procurement, Brazil was always a special case and our vendors had to have special Brazil made PCs for domestic use. This may not be an actual rule, but tariffs produce a de facto barrier. While this technique may have worked in Japan, it’s clear that it failed in Brazil. As the exception that proves the rule, McKinsey uses the example of regional jet manufacturer Embraer as a counterfactual. That company was privatized and opened to global competition. The result is that its got tough itself and is now an industrial champion for Brazil.

    There are tons of statistics in the study that are worth scanning just to see. Brazil is consistently benchmarked against Chile and Mexico in Latin America, as well as fellow BRICs India and China. The comparisons aren’t pretty.

    Reading a lot about the country in the last year, I put its problems into three categories: poor governance, geographic disadvantage, and scale disadvantage.

    1. Poor Governance
    Most of the issues pointed out by McKinsey fall squarely under the heading of poor governance. The contrast with nearby Chile could not be more plain across every dimension: corruption, the rule of law, investment, public sector debt, tax burden, infrastructure, regulation, etc.

    Latin America seems to prefer two sorts of governments these days. One is a right wing nationalist heir to the military juntas of the past, best exemplified by the Kirchner regime in Argentina. The other are left wing populist-nationalist movements like Venezuela that tend to feature a streak of anti-Americanism. Both of these have produced pitiful results.

    Brazil is a sort of lite version of the latter. Lula da Silva was a charismatic labor activist who led strikes and was jailed by the previous military dictatorship in his youth. Post-democratization, he went into politics. After moderating some of his more radical views, he was elected president on a reform agenda. While he had some success and was arguably and improvement on his predecessors, he ultimately failed to deliver on material changes in governance. His hand picked successor Dilma Rousseff has not been as effective and is in an electoral struggle for another term.

    In line with the nationalist streak of this governing type, one of Da Silva’s primary concerns was Brazil’s amour-propre. As one of the world’s largest countries, he found it self-evident that Brazil should be treated as a great power. He lobbied for Brazil to have a permanent seat on the UN Security Council. He and others responded in kind to any affront to the nation’s pride, such as requiring American and only American visitors to be finger printed after the US imposed a fingerprinting requirement on foreign visitors. He sought out diplomatic coups where ever he could find them, which included cozying up to unsavory characters like Mahmoud Ahmadinejad who thinks Israel should be destroyed and that Iran has no gays (presumably because he has them executed when he can find them).

    Da Silva forgot that there’s more to being a great power than being a big country – you’ve got to earn it. And as a very popular politician he did not seize his moment of opportunity to truly grasp the nettle of reform.

    Meanwhile nearby Chile is one of the Latin American governments that’s followed a different model. It’s been run by center-left governments more or less the entire time since the restoration of democracy, and they’ve delivered on a good governance model that has taken them to effectively developed country status. Chile is now even a member of the OECD. Chile is basically the Minnesota of Latin America, and the results demonstrate it. This should show Brazil the size of the prize if the get their act together.

    2. Geographic Disadvantage
    Brazil is simply a long way from major developed markets. This puts it at a geographic disadvantage versus many other countries. Current airplanes cannot make a non-stop flight from Brazil to East Asia, arguably the most important emerging part of the world. It’s even a long haul from the United States, with relatively few gateway cities vs. say major European capitals. Brazil is time-zone advantaged with the US, however. It also speaks Portuguese instead of Spanish, which imposes a linguistic handicap.

    3. Scale Disadvantage
    Brazil is a big country, geographically and in population. Size can be an advantage, but it also makes reform difficult as it’s hard to turn a battleship. Brazil’s population of 200 million is more than ten times that of Chile.

    Brazil’s two principal cities, São Paulo and Rio de Janeiro, are also megacities. São Paulo in particular is huge, and at north of 20 million people (more than the entire country of Chile) is the 10th largest city in the world. I recently wrote that it’s unlikely the world’s emerging megacities will turn the corner in eliminating dysfunction. Their problems are just too huge and their national growth rate too low. Though I’d consider this more hypothesis than conclusion at this point, my rule of thumb is that a megacity can only achieve escape velocity from pervasive dysfunction if they are a major city in a country that is the world’s current rising economic (or historically imperial) power.

    Brazil is not that country, and two mega cities will be a drag on growth. Although São Paulo is an important emerging global city – 23rd in the world in a forthcoming report I helped create – I’m told that both São Paulo and Rio are growing more slowly than secondary cities in the country. A previous McKinsey study threw cold water on the idea that megacities are an advantage, noting their under performance by saying:

    It is a common misperception that megacities have been driving global growth for the past 15 years. In fact, most have not grown faster than their host economies, and MGI expects this trend to continue. Today’s 23 megacities—with populations of 10 million or more—will contribute about 10 percent of global growth to 2025, below their 14 percent share of global GDP.

    In contrast, 577 middleweights—cities with populations of between 150,000 and 10 million, are seen contributing more than half of global growth to 2025, gaining share from today’s megacities.

    So I’m not surprised that it’s Curitiba, not one of the megacities, that’s where the innovative BRT revolution was begun. If I were looking to invest in Brazil, I’d be looking at this next tier of cities. Nor is it surprising that Santiago, Chile (population 5.4 million) has had great success in modernizing given its more moderate size.

    Plain and simple the degree of difficulty is higher in Brazil because of the size.

    Brazil is also a very racially diverse country with a number of challenges resulting from its history of oppression. Brazil had more slaves than any other country in the world and was the last New World colony/nation to abolish it. If slave reparations are on the agenda in the United States, how much more so similar issues in Brazil? Again, contrast with Chile, which never had very many slaves and abolished slavery in 1818. With the exception of a relatively few indigenous peoples on reservations, Chileans largely perceive themselves as ethnically homogenous, though with some skin tone based status (moderately sized…historically racially homogenous…Minnesota?)

    Which is to say that it’s tough to entirely fault Brazil for not living up to the example of Chile. Its degree of difficulty is much higher. And its geography hamstrings its global interaction.

    Nevertheless, solving the governance challenges to address the real issues Brazil faces remains the top agenda item. McKinsey has laid out a number of good suggestions, the real question is whether or not Brazil’s socio-political system can produce the ability to implement them.

    Aaron M. Renn is an independent writer on urban affairs and the founder of Telestrian, a data analysis and mapping tool. He writes at The Urbanophile, where this piece originally appeared.

    Photo: Ponte estaiada Octavio Frias – Sao Paulo by Marcosleal

  • America’s New Industrial Boomtowns

    David Peebles works in a glass tower across from Houston’s Galleria mall, a cathedral of consumption, but his attention is focused on the city’s highly industrialized ship channel 30 miles away. “Houston is the Chicago of this era,” says Peebles, who runs the Texas office of Odebrecht, a $45 billion engineering firm based in Brazil. “In the sixties you had to go to Chicago, Cleveland and Detroit. Now Houston is the place for new industry.”

    With upward of $35 billion of new refineries, chemical plants and factories planned through 2015 for Houston and the surrounding Gulf Coast, companies like Odebrecht, which runs chemical plants and is working on a new freeway in the area, have converged on the nation’s oil and gas capital. They are part of the reason why the Texas metropolis ranks first on our list of the best large cities for manufacturing.

    Houston, with 255,000 manufacturing jobs, is not yet the country’s largest industrial center; it still lags behind the longtime leaders Los Angeles, with 360,000 manufacturing jobs, and Chicago, home to 314,000. But it is clearly on a stronger trajectory. Since 2008, Houston’s manufacturing workforce has expanded 5% while Los Angeles has lost 13% of its industrial jobs and Chicago’s factory workforce has shrunk 11%.

    View the Best Cities for Manufacturing Jobs 2014 List

    Why Manufacturing Matters

    Whether America is on the path to a sustainable industrial expansion or is just seeing a weak bounce back has been widely debated, but the recent numbers are impressive. Since 2010 the U.S. has added 647,000 manufacturing jobs. New energy finds have led to the construction and expansion of pipelines and refineries, and has sparked foreign industrial investment reflecting electricity costs that are now well below those in Europe or East Asia. Besides Houston, also ranking high on our big cities list are two other energy towns, No. 5 Oklahoma City and No. 10 Ft. Worth, Texas. Our mid-sized cities list is led by Lafayette, La., with nearby Baton Rouge in 11th place.

    Evangelists of the “information economy” may think that industrial jobs are passé, as epitomized by a recent Slate article that recommended that working-class people from places like Detroit should move to areas like Silicon Valley or Boston where they can make money cutting the hair and walking the dogs of high-tech magnates. But the notion that U.S. manufacturing is doomed, and that the jobs are of lower quality than those in high-tech centers, is largely bogus; even in Silicon Valley the majority of new projected jobs are expected to pay under $50,000 annually. In contrast manufacturers pay above-average wages, in some cases due to unionization, but in many others because of the increasing sophisticated skills required by today’s factories.

    Although we will likely never see a boom in factory employment on the scale experienced in the last century, the demand for blue-collar skills is projected to increase in future years. Among all professions for non-college graduates, manufacturing skills are most in demand, according to a study by Express Employment Professionals. By 2020, according to BCG and the Bureau of Labor Statistics, the nation could face a shortfall of around 875,000 machinists, welders, industrial-machinery operators, and other highly skilled manufacturing professionals.

    Southern Comfort

    Our research suggests that much of this growth will be in metro areas in the South and the Great Plains that are known for friendly business climates. New industrial investment is tending to go to places that are largely non-union, and feature lower taxes and light regulation. Epitomizing this trend is the No. 2 city on our large metro area list, Nashville-Murfreesboro-Franklin, Tenn., where manufacturing employment is up 6% since 2008. Nashville has become a hotbed for foreign investment in manufacturing, with the expansion of the Nissan facilities in nearby Smyrna, as well as a host of suppliers.

    This is occurring, in part, because some large companies are shifting production to America from China in response to rising Chinese wages as well as sometimes unpredictable business conditions there.

    Investment inflows, both from overseas and domestic companies, have boosted other standout southern industrial hubs, as well as the smaller metro areas on our mid-sized city list, notably Mobile, Ala. (third place), with its expanding industrially oriented port, and No. 14 Charleston-North Charleston-Summerville, S.C., which has been a beneficiary of major new foreign investment as well as the expanded presence of U.S. aerospace giant Boeing. The South also is home to our No. 1 small manufacturing city, Florence-Muscle Shoals, Ala.

    The Resurgence of the Rust Belt

    The progress is not confined to the Sun Belt. The resurgence of the U.S. auto industry has revived the economy of Warren-Troy-Farmington Hills, Mich., also known as “automation alley.” The home to many parts suppliers, engineering and tech support for the car industry, this area has enjoyed an impressive 12.7 percent growth in manufacturing jobs since 2008, placing it third on our big cities list.

    Detroit, the center of the auto industry, ranks a respectable 16th on our big city list, but the big improvements in the Rust Belt are occurring in mid-sized cities such as Lansing-East Lansing, Mich. (eighth), Grand Rapids (ninth) and Ft. Wayne, Ind. (10th).

    But arguably the strongest Rust Belt recovery has occurred in Elkhart-Goshen, Ind., third on our small cities list. Since 2008 Elkhart’s industrial employment — much of it in the recreational vehicle industry — has expanded 30%, one of the most dramatic employment turnarounds of any place in America. Unemployment has fallen to 5% from a recession high of 20.2%.

    Western Exposure

    The South and the Great Lakes may be America’s industrial heartland, but there are several strong pockets in the West. One region that is doing particularly well is the Pacific Northwest, led by Seattle-Bellevue-Everett, which has experienced 11% manufacturing employment growth since 2010.

    Boeing is key here, but the Pacific Northwest’s industrial expansion has also been fueled by low electricity rates, largely due to the area’s strength in hydroelectricity. Portland-Vancouver-Hillsboro OR-WA (11th) is usually associated more with hipsters, but manufacturing growth has taken off, particularly with the expansion of Intel’s large semiconductor facility in suburban Hillsboro.

    Another Western industrial hotspot is Utah, a state with low energy costs and business friendly regulation. Salt Lake City, 12th on our large metro area list, has enjoyed a 5.7% increase in industrial jobs since 2010. Growth has been even stronger in two other Utah cities, Provo -Orem and Ogden-Clearfield, which rank fifth and seventh, respectively, on our mid-sized cities list.

    One surprising place where manufacturing is making a mild comeback is in the Bay Area, which for years has exported high-tech manufacturing jobs to places like Utah as well as the rest of the world. Despite ultra-expensive electricity, high labor costs and some of the world’s most demanding environmental laws, San Jose (13th on our big metros list) San Francisco-San Mateo-Redwood (15th) have posted solid industrial growth after years of decline. Yet both remain below their 2008 levels, and may find new growth difficult once the current tech bubble collapses.

    Laggards

    Two of the worst performers on this list are the big metro areas that have for decades been the country’s largest industrial hubs, Los Angeles-Long Beach-Glendale (55th) and Chicago-Joliet-Naperville (56th). It appears they lack the cost competitiveness and specialized focus of America’s ascendant industrial regions.

    Another clear loser is the Northeast, which accounts for seven of the eight lowest ranked big metro areas. Since 2008, Philadelphia (62nd) has lost 21% of its once-large industrial job base, while New York City, which has been losing industrial jobs for decades, ranks 45th. Here, too, high costs and regulation are a factor, as well as the loss of industrial know-how resulting from long-term erosion of their manufacturing bases.

    Of course, some information age enthusiasts may argue that losing such jobs is something of a badge of honor, since “smart” regions do not focus on the gritty business of making things. Yet if you look across the country, you can see that many of the strongest local economies, from Houston and Nashville to Seattle, have taken part in the U.S. industrial resurgence. It seems this is one party more worth joining than avoiding.

    View the Best Cities for Manufacturing Jobs 2014 List

    This article first appeared at Forbes.com.

    Joel Kotkin is executive editor of NewGeography.com and Distinguished Presidential Fellow in Urban Futures at Chapman University, and a member of the editorial board of the Orange County Register. He is author of The City: A Global History and The Next Hundred Million: America in 2050. His most recent study, The Rise of Postfamilialism, has been widely discussed and distributed internationally. He lives in Los Angeles, CA.

    Houston skyline photo by Bigstock.

  • All Cities Manufacturing Jobs – 2014 Best Cities Rankings

    View the Best Cities for Manufacturing Jobs 2014 List

    2014 Overall Mfg Rank Area 2014 Mfg Weighted INDEX 2013 Manufacturing Employment (1000s) 2012-13 Mfg Growth Rate Overall Rank Change
    2013-2014
    1 Florence-Muscle Shoals, AL 98.8                  9.5 7.1% 2
    2 Lewiston, ID-WA 98.0                  3.9 8.3% 163
    3 Madera-Chowchilla, CA 97.3                  4.0 6.3% 24
    4 Elkhart-Goshen, IN 97.2                54.6 5.0% 90
    5 Idaho Falls, ID 93.4                  3.7 4.7% 26
    6 Wenatchee-East Wenatchee, WA 91.9                  2.5 4.2% 8
    7 Naples-Marco Isl&, FL 91.7                  3.2 13.1% 134
    8 Lafayette, LA 91.4                12.5 7.4% 14
    9 Deltona-Daytona Beach-Ormond Beach, FL 90.8                  9.2 7.4% 159
    10 Fond du Lac, WI 89.3                11.0 5.4% 16
    11 Coeur d’Alene, ID 89.2                  4.9 8.1% 64
    12 Mobile, AL 88.9                18.7 0.7% (7)
    13 Flagstaff, AZ 88.5                  4.4 3.1% (6)
    14 Bremerton-Silverdale, WA 88.2                  2.1 5.0% 18
    15 Midl&, TX 88.1                  3.7 2.8% (7)
    16 Columbus, IN 87.9                18.0 2.3% (15)
    17 Medford, OR 87.8                  7.2 4.4% 106
    18 Fairbanks, AK 87.2                  0.6 12.5% 297
    19 Mount Vernon-Anacortes, WA 87.0                  5.6 6.3% 61
    20 Napa, CA 86.4                11.7 6.0% (9)
    21 Albany-Schenectady-Troy, NY 86.3                24.0 3.0% 4
    22 Panama City-Lynn Haven-Panama City Beach, FL 85.8                  3.6 4.9% (7)
    23 Provo-Orem, UT 85.2                18.5 5.9% 125
    24 Bakersfield-Delano, CA 85.1                14.2 4.7% 38
    25 Prescott, AZ 84.8                  3.2 6.7% 135
    26 Morgantown, WV 84.0                  4.4 4.0% 51
    27 Houston-Sugar L&-Baytown, TX 83.9             255.4 3.1% (18)
    28 Ogden-Clearfield, UT 83.5                23.7 2.4% 13
    29 Lansing-East Lansing, MI 82.2                19.2 7.6% 144
    30 Gr& Rapids-Wyoming, MI 81.7                69.2 4.2% 24
    31 Battle Creek, MI 81.6                12.1 6.2% 24
    32 Holl&-Gr& Haven, MI 81.4                34.6 4.2% (3)
    33 Pueblo, CO 81.2                  4.4 8.1% 168
    34 Fort Wayne, IN 80.9                34.9 4.2% 106
    35 Baton Rouge, LA 80.5                27.8 3.3% 13
    36 Auburn-Opelika, AL 80.4                  6.2 8.1% 228
    37 Nashville-Davidson–Murfreesboro–Franklin, TN 80.3                72.3 4.0% 9
    38 Jackson, MI 80.1                  9.2 4.5% 6
    39 Muskegon-Norton Shores, MI 79.6                12.7 1.9% (27)
    40 Haverhill-North &over-Amesbury, MA-NH  NECTA Div 79.4                10.7 3.2% 28
    41 Kennewick-Pasco-Richl&, WA 78.7                  7.0 2.9% (39)
    42 Punta Gorda, FL 78.3                  0.7 0.0% (26)
    43 San Luis Obispo-Paso Robles, CA 77.4                  6.5 0.5% (1)
    44 Lakel&-Winter Haven, FL 77.2                16.0 6.0% 84
    45 Warren-Troy-Farmington Hills, MI Metro Div 77.2             150.5 5.3% (5)
    46 Portsmouth, NH-ME NECTA 76.9                  3.7 4.8% 14
    47 Merced, CA 76.2                  8.8 7.3% 34
    48 Cape Coral-Fort Myers, FL 76.1                  4.9 5.8% 243
    49 Kokomo, IN 76.0                11.5 5.5% 162
    50 Charleston-North Charleston-Summerville, SC 75.6                24.1 1.3% (13)
    51 Anchorage, AK 75.0                  2.3 1.5% (16)
    52 Santa Cruz-Watsonville, CA 75.0                  5.9 3.5% 44
    53 Elizabethtown, KY 74.8                  6.2 1.6% (40)
    54 Vallejo-Fairfield, CA 74.2                10.2 2.3% 12
    55 Des Moines-West Des Moines, IA 74.2                19.7 1.4% 4
    56 Toledo, OH 73.9                43.2 6.2% 17
    57 Greenville-Mauldin-Easley, SC 73.8                40.8 3.8% 43
    58 Sioux Falls, SD 73.6                13.4 1.0% (20)
    59 Fargo, ND-MN 73.3                10.1 1.3% (31)
    60 Louisville-Jefferson County, KY-IN 73.0                74.4 0.4% (36)
    61 Boulder, CO 72.8                17.2 1.8% 15
    62 Dover, DE 72.3                  4.8 3.6% 40
    63 Savannah, GA 72.1                15.2 1.6% (53)
    64 Tulsa, OK 72.0                51.1 0.7% (30)
    65 Port St. Lucie, FL 71.1                  5.5 1.2% 92
    66 Oklahoma City, OK 71.1                36.3 1.2% (30)
    67 Clevel&, TN 71.1                  8.6 1.6% (20)
    68 Odessa, TX 71.1                  5.3 -2.5% (64)
    69 Birmingham-Hoover, AL 70.9                38.9 3.4% 22
    70 Racine, WI 70.8                18.7 1.1% (40)
    71 Austin-Round Rock-San Marcos, TX 70.7                52.7 2.7% 50
    72 Waterloo-Cedar Falls, IA 70.5                17.5 -0.2% (54)
    73 Seattle-Bellevue-Everett, WA Metro Div 70.5             169.0 -0.5% (40)
    74 Logan, UT-ID 70.1                11.1 0.9% 11
    75 Reno-Sparks, NV 70.1                12.2 5.2% 186
    76 Kankakee-Bradley, IL 69.4                  5.5 0.0% (24)
    77 Beaumont-Port Arthur, TX 69.2                21.7 2.5% (8)
    78 Montgomery, AL 69.2                18.3 -0.2% 29
    79 Bellingham, WA 69.1                  8.9 -1.1% (29)
    80 Fort Collins-Lovel&, CO 68.9                11.8 1.4% (22)
    81 Lima, OH 68.9                  8.3 2.9% 135
    82 Greeley, CO 68.4                11.5 1.5% 0
    83 S&usky, OH 68.1                  6.1 2.2% (13)
    84 Spartanburg, SC 68.0                26.0 3.2% (33)
    85 Amarillo, TX 67.9                13.4 1.0% 48
    86 Omaha-Council Bluffs, NE-IA 67.9                32.3 2.6% 46
    87 Fort Worth-Arlington, TX Metro Div 67.8                92.9 1.8% (20)
    88 Portl&-Vancouver-Hillsboro, OR-WA 67.4             115.9 1.3% 62
    89 Lake County-Kenosha County, IL-WI Metro Div 67.3                57.4 2.1% 63
    90 Salt Lake City, UT 67.2                55.4 0.2% (11)
    91 Rapid City, SD 67.1                  2.9 7.4% 4
    92 Visalia-Porterville, CA 66.9                11.6 0.6% (71)
    93 Ithaca, NY 66.8                  3.4 3.0% 16
    94 El Centro, CA 66.8                  2.5 4.1% (51)
    95 San Jose-Sunnyvale-Santa Clara, CA 66.7             158.7 2.8% 34
    96 Lafayette, IN 66.3                16.3 0.6% (76)
    97 Green Bay, WI 66.3                28.9 1.4% 13
    98 Honolulu, HI 65.8                11.2 3.1% 73
    99 Lake Charles, LA 65.7                  9.0 1.5% 17
    100 Lawton, OK 65.6                  3.6 2.9% 66
    101 Chico, CA 65.5                  3.6 -2.7% 217
    102 Rockford, IL 65.3                31.3 -3.0% (83)
    103 San Francisco-San Mateo-Redwood City, CA Metro Div 65.2                38.0 4.5% 111
    104 Detroit-Livonia-Dearborn, MI Metro Div 65.1                82.8 2.9% (41)
    105 Appleton, WI 64.5                22.9 0.4% (49)
    106 Bay City, MI 64.3                  4.2 3.3% (41)
    107 Longview, WA 64.1                  6.3 1.6% 52
    108 Saginaw-Saginaw Township North, MI 63.9                11.8 2.3% (47)
    109 Olympia, WA 63.9                  3.2 2.1% 129
    110 &erson, SC 63.5                12.5 2.5% (7)
    111 Yakima, WA 63.3                  8.1 1.7% 73
    112 Bloomington, IN 63.2                  9.2 -2.1% (55)
    113 Sheboygan, WI 63.0                19.5 3.7% 188
    114 Lincoln, NE 62.9                13.8 2.2% (16)
    115 Reading, PA 62.9                30.0 0.9% (31)
    116 Rochester-Dover, NH-ME NECTA 62.6                  6.1 1.7% 120
    117 Tacoma, WA Metro Div 62.6                17.2 2.4% 169
    118 Victoria, TX 62.5                  6.0 -1.1% (54)
    119 Niles-Benton Harbor, MI 62.5                12.3 3.4% 60
    120 Tuscaloosa, AL 62.3                13.4 1.0% 17
    121 Bowling Green, KY 61.9                  8.6 0.4% (7)
    122 &erson, IN 61.9                  3.9 3.5% (35)
    123 College Station-Bryan, TX 61.9                  5.4 0.0% (100)
    124 Yuba City, CA 61.8                  2.1 0.0% (19)
    125 Boise City-Nampa, ID 61.0                24.4 1.5% 152
    126 Trenton-Ewing, NJ 61.0                  8.7 2.4% (14)
    127 Gr& Junction, CO 60.8                  2.8 3.8% 58
    128 Orl&o-Kissimmee-Sanford, FL 60.0                38.9 3.4% 130
    129 Minneapolis-St. Paul-Bloomington, MN-WI 60.0             184.0 1.3% (9)
    130 Charleston, WV 59.9                  5.7 4.3% 57
    131 North Port-Bradenton-Sarasota, FL 59.6                14.9 1.6% 72
    132 Monroe, MI 59.6                  5.3 2.6% (15)
    133 Santa Barbara-Santa Maria-Goleta, CA 59.5                12.1 0.3% (22)
    134 Columbia, SC 59.4                28.3 1.2% (7)
    135 Lebanon, PA 59.4                  9.0 -0.4% 74
    136 San Antonio-New Braunfels, TX 59.3                46.1 -1.3% (46)
    137 Greenville, NC 59.1                  6.9 -0.5% (131)
    138 Gr& Forks, ND-MN 58.4                  3.5 1.9% 25
    139 Evansville, IN-KY 58.4                29.1 1.2% 7
    140 Bend, OR 58.3                  4.1 2.5% 129
    141 Waco, TX 58.2                14.6 0.0% (58)
    142 Las Vegas-Paradise, NV 58.1                20.9 2.3% 115
    143 Virginia Beach-Norfolk-Newport News, VA-NC 57.9                54.1 -0.7% (94)
    144 La Crosse, WI-MN 57.8                  8.5 0.0% 149
    145 Eau Claire, WI 57.4                10.4 -0.6% (73)
    146 Sioux City, IA-NE-SD 57.3                12.5 2.2% (24)
    147 Framingham, MA  NECTA Div 56.9                24.8 -0.4% (46)
    148 Pensacola-Ferry Pass-Brent, FL 56.6                  5.8 1.8% 128
    149 Terre Haute, IN 56.2                11.4 -0.6% (43)
    150 Abilene, TX 55.7                  2.7 0.0% 154
    151 Denver-Aurora-Broomfield, CO 55.5                63.9 0.4% (9)
    152 Brockton-Bridgewater-Easton, MA  NECTA Div 55.2                  7.5 2.8% 182
    153 Norwich-New London, CT-RI NECTA 55.1                14.6 1.9% 73
    154 Tampa-St. Petersburg-Clearwater, FL 55.1                61.6 4.1% 135
    155 Santa Rosa-Petaluma, CA 54.6                19.9 1.9% 34
    156 Springfield, OH 54.6                  6.5 3.7% (139)
    157 Kalamazoo-Portage, MI 54.3                19.4 3.0% 7
    158 Charlotte-Gastonia-Rock Hill, NC-SC 53.9                73.1 0.1% (66)
    159 Roanoke, VA 53.7                16.3 -0.6% (106)
    160 Atlanta-S&y Springs-Marietta, GA 53.1             150.4 0.9% 15
    161 Barnstable Town, MA NECTA 53.0                  2.9 0.0% (25)
    162 Vinel&-Millville-Bridgeton, NJ 52.4                  8.3 0.8% 10
    163 Raleigh-Cary, NC 52.3                30.8 0.3% 15
    164 Erie, PA 52.3                22.2 -1.0% (119)
    165 St. George, UT 52.3                  2.5 -2.6% (7)
    166 Decatur, AL 51.6                12.1 2.2% 81
    167 Lowell-Billerica-Chelmsford, MA-NH  NECTA Div 51.5                17.5 1.0% (23)
    168 Madison, WI 51.4                28.5 -0.1% 113
    169 Spokane, WA 51.4                15.1 0.2% 114
    170 Santa Ana-Anaheim-Irvine, CA Metro Div 51.0             158.6 0.1% (35)
    171 Gary, IN Metro Div 50.9                35.4 -0.5% (93)
    172 Ocala, FL 50.8                  6.8 0.0% 118
    173 Phoenix-Mesa-Glendale, AZ 50.7             116.2 -0.8% (35)
    174 Oakl&-Fremont-Hayward, CA Metro Div 50.6                79.8 2.7% 47
    175 Davenport-Moline-Rock Isl&, IA-IL 50.5                23.4 -4.5% (104)
    176 Clevel&-Elyria-Mentor, OH 50.3             124.4 0.2% (20)
    177 San Diego-Carlsbad-San Marcos, CA 50.3                94.5 -0.6% (7)
    178 Cincinnati-Middletown, OH-KY-IN 50.2             106.6 1.2% (27)
    179 Huntington-Ashl&, WV-KY-OH 50.2                  8.9 0.0% 15
    180 Indianapolis-Carmel, IN 50.2                83.9 1.2% (33)
    181 Miami-Miami Beach-Kendall, FL Metro Div 49.9                37.3 4.5% 140
    182 Asheville, NC 49.6                18.7 0.2% (52)
    183 Canton-Massillon, OH 49.4                26.8 -1.6% (38)
    184 Yuma, AZ 49.2                  2.1 -3.0% (8)
    185 Cedar Rapids, IA 49.2                20.2 -0.5% 46
    186 Sebastian-Vero Beach, FL 48.9                  1.8 5.9% 138
    187 Pascagoula, MS 48.2                13.8 1.7% 157
    188 Kansas City, MO 48.0                39.4 2.3% 125
    189 Gainesville, FL 47.8                  4.5 0.7% 117
    190 Milwaukee-Waukesha-West Allis, WI 47.6             118.7 -0.8% (72)
    191 Lubbock, TX 47.6                  4.9 -1.4% (103)
    192 Bloomington-Normal, IL 47.4                  4.4 1.5% (68)
    193 McAllen-Edinburg-Mission, TX 47.3                  6.5 0.5% 22
    194 Salem, OR 47.1                11.1 1.8% 102
    195 Augusta-Richmond County, GA-SC 47.0                20.4 0.5% 13
    196 Jacksonville, FL 46.8                28.2 1.4% 2
    197 South Bend-Mishawaka, IN-MI 46.8                16.8 0.6% 27
    198 Bismarck, ND 46.8                  1.9 9.6% 154
    199 Salinas, CA 46.7                  5.4 5.2% 98
    200 Owensboro, KY 46.5                  8.3 0.0% (20)
    201 Akron, OH 46.0                40.0 -0.2% (67)
    202 Nassau-Suffolk, NY Metro Div 45.9                73.8 0.0% (9)
    203 Duluth, MN-WI 45.9                  7.3 -1.4% 17
    204 Columbus, OH 45.9                66.8 -0.6% (43)
    205 Morristown, TN 45.2                10.8 3.8% 74
    206 St. Cloud, MN 44.9                14.8 -0.7% 13
    207 Boston-Cambridge-Quincy, MA NECTA Div 44.8                92.2 0.4% (8)
    208 Knoxville, TN 44.7                31.5 -0.6% (89)
    209 Modesto, CA 44.5                19.1 -0.5% 91
    210 Gadsden, AL 44.4                  4.9 -2.0% (57)
    211 Topeka, KS 43.6                  7.0 -3.7% (72)
    212 Memphis, TN-MS-AR 43.4                44.5 -0.1% 31
    213 Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metro Div 43.4                25.9 1.3% (87)
    214 Casper, WY 43.4                  1.8 -3.6% (128)
    215 Greensboro-High Point, NC 43.2                52.6 -0.9% (15)
    216 Monroe, LA 42.9                  6.7 0.5% (34)
    217 Pittsfield, MA NECTA 42.7                  3.2 1.1% (55)
    218 Carson City, NV 42.3                  2.6 1.3% 26
    219 Stockton, CA 41.9                17.4 2.2% 120
    220 Pittsburgh, PA 41.9                88.4 -1.7% (65)
    221 Springfield, MO 41.7                14.0 -0.5% 21
    222 Lake Havasu City-Kingman, AZ 41.6                  2.8 1.2% 40
    223 Chattanooga, TN-GA 41.6                29.9 -2.0% (108)
    224 State College, PA 41.3                  4.0 -0.8% (50)
    225 Rocky Mount, NC 41.1                  8.0 5.7% 49
    226 Janesville, WI 41.1                  9.0 1.1% 22
    227 Lynchburg, VA 40.6                14.6 -0.2% 7
    228 West Palm Beach-Boca Raton-Boynton Beach, FL Metro Div 40.5                15.7 -0.2% 38
    229 Peoria, IL 40.4                27.1 -4.8% (43)
    230 Santa Fe, NM 40.4                  0.8 0.0% (40)
    231 Killeen-Temple-Fort Hood, TX 40.3                  7.2 0.0% 19
    232 Poughkeepsie-Newburgh-Middletown, NY 40.2                18.3 0.9% (2)
    233 Allentown-Bethlehem-Easton, PA-NJ 40.1                34.6 -0.9% (144)
    234 Lexington-Fayette, KY 40.1                29.4 0.3% (6)
    235 Scranton–Wilkes-Barre, PA 40.1                27.5 0.9% 11
    236 Eugene-Springfield, OR 39.6                12.6 2.4% 110
    237 Jackson, MS 39.1                16.6 -1.6% 15
    238 Utica-Rome, NY 38.9                11.0 0.0% (26)
    239 Hickory-Lenoir-Morganton, NC 38.8                37.8 1.3% 21
    240 Kansas City, KS 38.7                32.4 -1.8% (63)
    241 Harrisburg-Carlisle, PA 38.7                19.9 1.0% (36)
    242 Redding, CA 38.4                  2.2 3.2% (73)
    243 Wausau, WI 38.3                14.8 1.1% 94
    244 Joplin, MO 38.2                12.8 0.3% 5
    245 Flint, MI 38.2                11.4 -2.6% (137)
    246 Dayton, OH 38.1                41.3 -0.3% (39)
    247 New York City, NY 37.8                77.4 2.6% 26
    248 Corpus Christi, TX 37.3                  9.8 -1.3% (105)
    249 Lancaster, PA 37.3                35.5 0.0% (58)
    250 Burlington-South Burlington, VT NECTA 37.0                13.4 -3.6% (137)
    251 Glens Falls, NY 36.6                  6.1 -2.7% (63)
    252 St. Louis, MO-IL 36.5             112.3 -0.1% (19)
    253 Hartford-West Hartford-East Hartford, CT NECTA 36.5                56.3 -1.6% (51)
    254 Bergen-Hudson-Passaic, NJ 36.3                59.4 1.2% (50)
    255 Kingsport-Bristol-Bristol, TN-VA 36.3                21.4 -0.9% (124)
    256 Sherman-Denison, TX 36.2                  5.3 -1.9% (64)
    257 Springfield, IL 36.2                  3.0 0.0% (39)
    258 Sumter, SC 36.0                  6.1 0.0% 14
    259 El Paso, TX 35.6                17.5 -2.8% (162)
    260 Youngstown-Warren-Boardman, OH-PA 35.5                30.0 -0.3% (63)
    261 Muncie, IN 35.5                  4.1 -3.9% (187)
    262 Providence-Fall River-Warwick, RI-MA NECTA 35.1                50.8 0.4% (27)
    263 Tucson, AZ 34.8                23.2 -0.6% (38)
    264 Sacramento–Arden-Arcade–Roseville, CA 34.5                33.1 -1.2% (97)
    265 Buffalo-Niagara Falls, NY 33.9                50.4 -1.6% (70)
    266 Mansfield, OH 33.8                  9.3 -1.1% (83)
    267 Decatur, IL 33.6                10.0 -7.7% 73
    268 Peabody, MA  NECTA Div 33.5                10.1 -0.7% (29)
    269 Riverside-San Bernardino-Ontario, CA 33.4                86.9 0.6% 56
    270 Hanford-Corcoran, CA 33.1                  3.8 -4.2% (16)
    271 Richmond, VA 32.1                32.0 0.5% 14
    272 Edison-New Brunswick, NJ Metro Div 32.1                58.8 0.1% 12
    273 Colorado Springs, CO 31.9                11.6 -0.3% (5)
    274 Springfield, MA-CT NECTA 31.8                30.9 -1.3% (61)
    275 Durham-Chapel Hill, NC 31.4                29.9 0.2% 56
    276 Kingston, NY 31.1                  3.4 1.0% 46
    277 Hattiesburg, MS 31.1                  4.1 -5.4% (173)
    278 Los Angeles-Long Beach-Glendale, CA Metro Div 30.3             360.5 -1.6% (37)
    279 Wichita, KS 30.2                51.5 -3.1% (50)
    280 Chicago-Joliet-Naperville, IL Metro Div 29.9             314.9 -1.5% (99)
    281 Jackson, TN 29.7                  8.4 1.2% (58)
    282 Dallas-Plano-Irving, TX Metro Div 29.7             162.9 -2.4% (42)
    283 Gulfport-Biloxi, MS 29.6                  5.4 -1.2% 4
    284 Bridgeport-Stamford-Norwalk, CT NECTA 29.5                33.6 -0.3% (9)
    285 Fayetteville-Springdale-Rogers, AR-MO 29.1                26.3 -0.9% (5)
    286 Ann Arbor, MI 29.1                13.8 -2.4% (21)
    287 San Angelo, TX 28.1                  3.2 -10.3% (248)
    288 Portl&-South Portl&-Biddeford, ME NECTA 28.1                12.4 -2.1% (56)
    289 Danville, VA 28.0                  6.6 -3.9% (196)
    290 Rochester, NY 27.9                58.4 -1.0% 2
    291 Palm Bay-Melbourne-Titusville, FL 27.8                19.7 -4.2% (54)
    292 Wilmington, NC 27.4                  7.3 -2.7% (29)
    293 Fayetteville, NC 27.3                11.3 -5.0% (168)
    294 Altoona, PA 27.1                  6.8 -3.8% (195)
    295 Albany, GA 26.8                  4.4 1.5% 17
    296 Leominster-Fitchburg-Gardner, MA NECTA 26.5                  6.1 0.0% 34
    297 Wilmington, DE-MD-NJ Metro Div 26.4                18.4 -0.4% (91)
    298 Waterbury, CT NECTA 26.2                  7.5 -0.4% (45)
    299 Northern Virginia, VA 25.9                21.8 -2.5% 10
    300 Burlington, NC 25.7                  8.5 -0.8% (104)
    301 Huntsville, AL 25.7                22.8 -0.7% 49
    302 New Haven, CT NECTA 25.6                25.5 -0.8% (32)
    303 Winston-Salem, NC 25.2                19.8 -0.2% (1)
    304 Brownsville-Harlingen, TX 24.8                  5.5 -2.9% (155)
    305 Oxnard-Thous& Oaks-Ventura, CA 24.7                29.6 -0.4% 42
    306 Little Rock-North Little Rock-Conway, AR 24.6                19.6 -0.7% (51)
    307 Fresno, CA 24.4                22.0 -2.4% 16
    308 Manchester, NH NECTA 24.1                  7.5 -0.4% (14)
    309 Newark-Union, NJ-PA Metro Div 23.7                64.4 -1.1% 10
    310 Worcester, MA-CT NECTA 23.5                23.6 -0.8% (2)
    311 Lewiston-Auburn, ME NECTA 23.4                  4.7 -0.7% 9
    312 Baltimore City, MD 23.2                12.0 -1.4% (7)
    313 Bangor, ME NECTA 23.2                  2.6 -1.3% (91)
    314 New Orleans-Metairie-Kenner, LA 22.6                29.4 -0.7% (16)
    315 Michigan City-La Porte, IN 22.5                  7.5 -2.6% (105)
    316 Champaign-Urbana, IL 22.5                  8.0 -2.0% (99)
    317 York-Hanover, PA 22.3                30.8 -1.8% (66)
    318 Steubenville-Weirton, OH-WV 21.8                  5.7 1.8% 10
    319 Wichita Falls, TX 21.2                  5.2 -3.7% 24
    320 Rome, GA 20.9                  5.5 -1.2% (13)
    321 Palm Coast, FL 20.5                  0.8 0.0% 14
    322 Dalton, GA 20.4                21.1 -0.3% 31
    323 Williamsport, PA 20.3                  8.1 -1.6% (7)
    324 Anniston-Oxford, AL 19.9                  5.6 -1.7% (79)
    325 Philadelphia City, PA 19.4                21.7 -1.5% (66)
    326 Hagerstown-Martinsburg, MD-WV 19.1                  7.6 -2.6% (38)
    327 Longview, TX 19.0                  9.7 -5.8% (60)
    328 Camden, NJ Metro Div 19.0                34.9 -0.9% 5
    329 Cheyenne, WY 18.8                  1.2 -5.1% (47)
    330 Rochester, MN 18.3                  9.8 -6.4% (103)
    331 Pocatello, ID 17.4                  3.0 -3.2% (17)
    332 Bethesda-Rockville-Frederick, MD Metro Div 17.1                15.7 -2.7% (21)
    333 New Bedford, MA NECTA 16.9                  7.8 -7.2% (62)
    334 Danville, IL 16.5                  4.8 -7.7% (180)
    335 Syracuse, NY 16.4                24.1 -1.0% (9)
    336 Texarkana, TX-Texarkana, AR 15.7                  3.9 -4.9% (4)
    337 Tallahassee, FL 15.5                  3.0 -6.3% 5
    338 Clarksville, TN-KY 14.8                  9.9 -4.8% (9)
    339 Crestview-Fort Walton Beach-Destin, FL 14.5                  3.3 -3.9% 6
    340 Fort Smith, AR-OK 14.5                18.3 0.2% 8
    341 Albuquerque, NM 13.7                16.7 -4.7% (5)
    342 Putnam-Rockl&-Westchester, NY 13.1                23.6 -4.6% (25)
    343 Elmira, NY 12.6                  5.1 -10.1% (65)
    344 Nashua, NH-MA  NECTA Div 12.2                19.7 -4.5% (45)
    345 Las Cruces, NM 12.1                  2.7 -6.9% (89)
    346 Dothan, AL 11.7                  4.7 0.0% 9
    347 Johnstown, PA 11.0                  3.7 -6.7% (52)
    348 Johnson City, TN 10.9                  7.3 -3.5% (38)
    349 Wheeling, WV-OH 8.2                  3.2 -4.0% (46)
    350 Tyler, TX 7.7                  5.2 -1.9% 1
    351 Atlantic City-Hammonton, NJ 7.3                  2.1 -4.6% 3
    352 Washington-Arlington-Alex&ria, DC-VA-MD-WV Metro Div 6.7                30.4 -6.8% (25)
    353 Shreveport-Bossier City, LA 5.5                  8.7 -5.5% 3
    354 Corvallis, OR 5.2                  2.9 -4.3% (16)
    355 Binghamton, NY 3.9                11.9 -5.3% (6)
    356 Calvert-Charles-Prince George’s, MD 2.1                  7.6 -6.2% (15)
    357 Laredo, TX 1.0                  0.7 -8.7% 0

  • Large Cities Manufacturing Jobs – 2014 Best Cities Rankings

    View the Best Cities for Manufacturing Jobs 2014 List

    2014  Mfg Rank – Large MSAs Area 2014 Weighted Manufacturing INDEX 2013 Manufacturing Employment (1000s) Mfg Growth 2012-2013 2014 Mfg Rank Change from 2013 – Large MSAs
    1 Houston-Sugar Land-Baytown, TX 83.9        255.4 3.1% 0
    2 Nashville-Davidson–Murfreesboro–Franklin, TN 80.3          72.3 4.0% 4
    3 Warren-Troy-Farmington Hills, MI Metro Div 77.2        150.5 5.3% 2
    4 Louisville-Jefferson County, KY-IN 73.0          74.4 0.4% (2)
    5 Oklahoma City, OK 71.1          36.3 1.2% (1)
    6 Birmingham-Hoover, AL 70.9          38.9 3.4% 6
    7 Austin-Round Rock-San Marcos, TX 70.7          52.7 2.7% 9
    8 Seattle-Bellevue-Everett, WA Metro Div 70.5        169.0 -0.5% (5)
    9 Omaha-Council Bluffs, NE-IA 67.9          32.3 2.6% 10
    10 Fort Worth-Arlington, TX Metro Div 67.8          92.9 1.8% (1)
    11 Portland-Vancouver-Hillsboro, OR-WA 67.4        115.9 1.3% 13
    12 Salt Lake City, UT 67.2          55.4 0.2% (2)
    13 San Jose-Sunnyvale-Santa Clara, CA 66.7        158.7 2.8% 5
    14 Honolulu, HI 65.8          11.2 3.1% 17
    15 San Francisco-San Mateo-Redwood City, CA Metro Div 65.2          38.0 4.5% 26
    16 Detroit-Livonia-Dearborn, MI Metro Div 65.1          82.8 2.9% (8)
    17 Orlando-Kissimmee-Sanford, FL 60.0          38.9 3.4% 32
    18 Minneapolis-St. Paul-Bloomington, MN-WI 60.0        184.0 1.3% (3)
    19 San Antonio-New Braunfels, TX 59.3          46.1 -1.3% (8)
    20 Las Vegas-Paradise, NV 58.1          20.9 2.3% 28
    21 Virginia Beach-Norfolk-Newport News, VA-NC 57.9          54.1 -0.7% (14)
    22 Denver-Aurora-Broomfield, CO 55.5          63.9 0.4% 0
    23 Tampa-St. Petersburg-Clearwater, FL 55.1          61.6 4.1% 32
    24 Charlotte-Gastonia-Rock Hill, NC-SC 53.9          73.1 0.1% (11)
    25 Atlanta-Sandy Springs-Marietta, GA 53.1        150.4 0.9% 7
    26 Raleigh-Cary, NC 52.3          30.8 0.3% 7
    27 Santa Ana-Anaheim-Irvine, CA Metro Div 51.0        158.6 0.1% (7)
    28 Phoenix-Mesa-Glendale, AZ 50.7        116.2 -0.8% (7)
    29 Oakland-Fremont-Hayward, CA Metro Div 50.6          79.8 2.7% 13
    30 Cleveland-Elyria-Mentor, OH 50.3        124.4 0.2% (3)
    31 San Diego-Carlsbad-San Marcos, CA 50.3          94.5 -0.6% (1)
    32 Cincinnati-Middletown, OH-KY-IN 50.2        106.6 1.2% (7)
    33 Indianapolis-Carmel, IN 50.2          83.9 1.2% (10)
    34 Miami-Miami Beach-Kendall, FL Metro Div 49.9          37.3 4.5% 29
    35 Kansas City, MO 48.0          39.4 2.3% 25
    36 Milwaukee-Waukesha-West Allis, WI 47.6        118.7 -0.8% (22)
    37 Jacksonville, FL 46.8          28.2 1.4% 0
    38 Nassau-Suffolk, NY Metro Div 45.9          73.8 0.0% (3)
    39 Columbus, OH 45.9          66.8 -0.6% (11)
    40 Boston-Cambridge-Quincy, MA NECTA Div 44.8          92.2 0.4% (2)
    41 Memphis, TN-MS-AR 43.4          44.5 -0.1% 6
    42 Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metro Div 43.4          25.9 1.3% (25)
    43 Pittsburgh, PA 41.9          88.4 -1.7% (17)
    44 West Palm Beach-Boca Raton-Boynton Beach, FL Metro Div 40.5          15.7 -0.2% 7
    45 New York City, NY 37.8          77.4 2.6% 7
    46 St. Louis, MO-IL 36.5        112.3 -0.1% (3)
    47 Hartford-West Hartford-East Hartford, CT NECTA 36.5          56.3 -1.6% (8)
    48 Bergen-Hudson-Passaic, NJ 36.3          59.4 1.2% (8)
    49 Providence-Fall River-Warwick, RI-MA NECTA 35.1          50.8 0.4% (5)
    50 Sacramento–Arden-Arcade–Roseville, CA 34.5          33.1 -1.2% (21)
    51 Buffalo-Niagara Falls, NY 33.9          50.4 -1.6% (15)
    52 Riverside-San Bernardino-Ontario, CA 33.4          86.9 0.6% 12
    53 Richmond, VA 32.1          32.0 0.5% 1
    54 Edison-New Brunswick, NJ Metro Div 32.1          58.8 0.1% (1)
    55 Los Angeles-Long Beach-Glendale, CA Metro Div 30.3        360.5 -1.6% (9)
    56 Chicago-Joliet-Naperville, IL Metro Div 29.9        314.9 -1.5% (22)
    57 Dallas-Plano-Irving, TX Metro Div 29.7        162.9 -2.4% (12)
    58 Rochester, NY 27.9          58.4 -1.0% (2)
    59 Northern Virginia, VA 25.9          21.8 -2.5% (1)
    60 Newark-Union, NJ-PA Metro Div 23.7          64.4 -1.1% 2
    61 New Orleans-Metairie-Kenner, LA 22.6          29.4 -0.7% (4)
    62 Philadelphia City, PA 19.4          21.7 -1.5% (12)
    63 Camden, NJ Metro Div 19.0          34.9 -0.9% 3
    64 Bethesda-Rockville-Frederick, MD Metro Div 17.1          15.7 -2.7% (5)
    65 Putnam-Rockland-Westchester, NY 13.1          23.6 -4.6% (4)
    66 Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Div 6.7          30.4 -6.8% (1)
  • Midsized Cities Manufacturing Jobs – 2014 Best Cities Rankings

    View the Best Cities for Manufacturing Jobs 2014 List

    2014  Mfg Rank – Midsized MSAs Area 2014 Weighted Manufacturing INDEX 2013 Mfg Employment (1000s) Mfg Growth 2012-2013 2014 Mfg Rank Change from 2013 – Midsized MSAs
    1 Lafayette, LA 91.4          12.5 7.4% 2
    2 Deltona-Daytona Beach-Ormond Beach, FL 90.8            9.2 7.4% 39
    3 Mobile, AL 88.9          18.7 0.7% (2)
    4 Albany-Schenectady-Troy, NY 86.3          24.0 3.0% 0
    5 Provo-Orem, UT 85.2          18.5 5.9% 34
    6 Bakersfield-Delano, CA 85.1          14.2 4.7% 7
    7 Ogden-Clearfield, UT 83.5          23.7 2.4% 1
    8 Lansing-East Lansing, MI 82.2          19.2 7.6% 34
    9 Grand Rapids-Wyoming, MI 81.7          69.2 4.2% 2
    10 Fort Wayne, IN 80.9          34.9 4.2% 25
    11 Baton Rouge, LA 80.5          27.8 3.3% (2)
    12 Lakeland-Winter Haven, FL 77.2          16.0 6.0% 20
    13 Cape Coral-Fort Myers, FL 76.1            4.9 5.8% 65
    14 Charleston-North Charleston-Summerville, SC 75.6          24.1 1.3% (7)
    15 Anchorage, AK 75.0            2.3 1.5% (9)
    16 Des Moines-West Des Moines, IA 74.2          19.7 1.4% (4)
    17 Toledo, OH 73.9          43.2 6.2% (1)
    18 Greenville-Mauldin-Easley, SC 73.8          40.8 3.8% 5
    19 Boulder, CO 72.8          17.2 1.8% (2)
    20 Savannah, GA 72.1          15.2 1.6% (18)
    21 Tulsa, OK 72.0          51.1 0.7% (16)
    22 Reno-Sparks, NV 70.1          12.2 5.2% 45
    23 Beaumont-Port Arthur, TX 69.2          21.7 2.5% (9)
    24 Montgomery, AL 69.2          18.3 -0.2% 1
    25 Lake County-Kenosha County, IL-WI Metro Div 67.3          57.4 2.1% 15
    26 Green Bay, WI 66.3          28.9 1.4% 0
    27 Lincoln, NE 62.9          13.8 2.2% (5)
    28 Reading, PA 62.9          30.0 0.9% (9)
    29 Tacoma, WA Metro Div 62.6          17.2 2.4% 48
    30 Boise City-Nampa, ID 61.0          24.4 1.5% 43
    31 Trenton-Ewing, NJ 61.0            8.7 2.4% (3)
    32 North Port-Bradenton-Sarasota, FL 59.6          14.9 1.6% 17
    33 Santa Barbara-Santa Maria-Goleta, CA 59.5          12.1 0.3% (6)
    34 Columbia, SC 59.4          28.3 1.2% (3)
    35 Evansville, IN-KY 58.4          29.1 1.2% 3
    36 Framingham, MA  NECTA Div 56.9          24.8 -0.4% (12)
    37 Pensacola-Ferry Pass-Brent, FL 56.6            5.8 1.8% 35
    38 Santa Rosa-Petaluma, CA 54.6          19.9 1.9% 7
    39 Roanoke, VA 53.7          16.3 -0.6% (29)
    40 Madison, WI 51.4          28.5 -0.1% 35
    41 Spokane, WA 51.4          15.1 0.2% 35
    42 Gary, IN Metro Div 50.9          35.4 -0.5% (24)
    43 Davenport-Moline-Rock Island, IA-IL 50.5          23.4 -4.5% (28)
    44 Asheville, NC 49.6          18.7 0.2% (11)
    45 Canton-Massillon, OH 49.4          26.8 -1.6% (8)
    46 McAllen-Edinburg-Mission, TX 47.3            6.5 0.5% 9
    47 Augusta-Richmond County, GA-SC 47.0          20.4 0.5% 6
    48 Akron, OH 46.0          40.0 -0.2% (14)
    49 Knoxville, TN 44.7          31.5 -0.6% (19)
    50 Modesto, CA 44.5          19.1 -0.5%  
    51 Greensboro-High Point, NC 43.2          52.6 -0.9% (3)
    52 Stockton, CA 41.9          17.4 2.2% 34
    53 Springfield, MO 41.7          14.0 -0.5% 9
    54 Chattanooga, TN-GA 41.6          29.9 -2.0% (25)
    55 Peoria, IL 40.4          27.1 -4.8% (11)
    56 Poughkeepsie-Newburgh-Middletown, NY 40.2          18.3 0.9% 3
    57 Allentown-Bethlehem-Easton, PA-NJ 40.1          34.6 -0.9% (37)
    58 Lexington-Fayette, KY 40.1          29.4 0.3% (1)
    59 Scranton–Wilkes-Barre, PA 40.1          27.5 0.9% 4
    60 Jackson, MS 39.1          16.6 -1.6% 5
    61 Kansas City, KS 38.7          32.4 -1.8% (18)
    62 Harrisburg-Carlisle, PA 38.7          19.9 1.0% (12)
    63 Dayton, OH 38.1          41.3 -0.3% (11)
    64 Corpus Christi, TX 37.3            9.8 -1.3% (28)
    65 Lancaster, PA 37.3          35.5 0.0% (19)
    66 El Paso, TX 35.6          17.5 -2.8% (45)
    67 Youngstown-Warren-Boardman, OH-PA 35.5          30.0 -0.3% (20)
    68 Tucson, AZ 34.8          23.2 -0.6% (12)
    69 Colorado Springs, CO 31.9          11.6 -0.3% 0
    70 Springfield, MA-CT NECTA 31.8          30.9 -1.3% (16)
    71 Durham-Chapel Hill, NC 31.4          29.9 0.2% 13
    72 Wichita, KS 30.2          51.5 -3.1% (14)
    73 Bridgeport-Stamford-Norwalk, CT NECTA 29.5          33.6 -0.3% (2)
    74 Fayetteville-Springdale-Rogers, AR-MO 29.1          26.3 -0.9% 0
    75 Ann Arbor, MI 29.1          13.8 -2.4% (7)
    76 Portland-South Portland-Biddeford, ME NECTA 28.1          12.4 -2.1% (16)
    77 Palm Bay-Melbourne-Titusville, FL 27.8          19.7 -4.2% (16)
    78 Wilmington, DE-MD-NJ Metro Div 26.4          18.4 -0.4% (27)
    79 Huntsville, AL 25.7          22.8 -0.7% 11
    80 New Haven, CT NECTA 25.6          25.5 -0.8% (10)
    81 Winston-Salem, NC 25.2          19.8 -0.2% (2)
    82 Oxnard-Thousand Oaks-Ventura, CA 24.7          29.6 -0.4% 7
    83 Little Rock-North Little Rock-Conway, AR 24.6          19.6 -0.7% (17)
    84 Fresno, CA 24.4          22.0 -2.4% (2)
    85 Worcester, MA-CT NECTA 23.5          23.6 -0.8% (4)
    86 Baltimore City, MD 23.2          12.0 -1.4% (6)
    87 York-Hanover, PA 22.3          30.8 -1.8% (23)
    88 Syracuse, NY 16.4          24.1 -1.0% (5)
    89 Tallahassee, FL 15.5            3.0 -6.3% (1)
    90 Albuquerque, NM 13.7          16.7 -4.7% (5)
    91 Shreveport-Bossier City, LA 5.5            8.7 -5.5% 0
    92 Calvert-Charles-Prince George’s, MD 2.1            7.6 -6.2% (5)
  • Small Cities Manufacturing Jobs – 2014 Best Cities Rankings

    View the Best Cities for Manufacturing Jobs 2014 List

    2014  Mfg Rank – Small MSAs Area 2014 Weighted Manufacturing INDEX 2013 Mfg Employment (1000s) Mfg Growth 2012-2013 2014 Mfg Rank Change from 2013 – Small MSAs
    1 Florence-Muscle Shoals, AL 98.8            9.5 7.1% 2
    2 Lewiston, ID-WA 98.0            3.9 8.3% 95
    3 Madera-Chowchilla, CA 97.3            4.0 6.3% 18
    4 Elkhart-Goshen, IN 97.2          54.6 5.0% 57
    5 Idaho Falls, ID 93.4            3.7 4.7% 20
    6 Wenatchee-East Wenatchee, WA 91.9            2.5 4.2% 4
    7 Naples-Marco Island, FL 91.7            3.2 13.1% 77
    8 Fond du Lac, WI 89.3          11.0 5.4% 12
    9 Coeur d’Alene, ID 89.2            4.9 8.1% 41
    10 Flagstaff, AZ 88.5            4.4 3.1% (4)
    11 Bremerton-Silverdale, WA 88.2            2.1 5.0% 15
    12 Midland, TX 88.1            3.7 2.8% (5)
    13 Columbus, IN 87.9          18.0 2.3% (12)
    14 Medford, OR 87.8            7.2 4.4% 63
    15 Fairbanks, AK 87.2            0.6 12.5% 159
    16 Mount Vernon-Anacortes, WA 87.0            5.6 6.3% 35
    17 Napa, CA 86.4          11.7 6.0% (10)
    18 Panama City-Lynn Haven-Panama City Beach, FL 85.8            3.6 4.9% (7)
    19 Prescott, AZ 84.8            3.2 6.7% 73
    20 Morgantown, WV 84.0            4.4 4.0% 30
    21 Battle Creek, MI 81.6          12.1 6.2% 16
    22 Holland-Grand Haven, MI 81.4          34.6 4.2% 1
    23 Pueblo, CO 81.2            4.4 8.1% 91
    24 Auburn-Opelika, AL 80.4            6.2 8.1% 123
    25 Jackson, MI 80.1            9.2 4.5% 6
    26 Muskegon-Norton Shores, MI 79.6          12.7 1.9% (18)
    27 Haverhill-North Andover-Amesbury, MA-NH  NECTA Div 79.4          10.7 3.2% 19
    28 Kennewick-Pasco-Richland, WA 78.7            7.0 2.9% (26)
    29 Punta Gorda, FL 78.3            0.7 0.0% (17)
    30 San Luis Obispo-Paso Robles, CA 77.4            6.5 0.5% (2)
    31 Portsmouth, NH-ME NECTA 76.9            3.7 4.8% 9
    32 Merced, CA 76.2            8.8 7.3% 21
    33 Kokomo, IN 76.0          11.5 5.5% 85
    34 Santa Cruz-Watsonville, CA 75.0            5.9 3.5% 28
    35 Elizabethtown, KY 74.8            6.2 1.6% (25)
    36 Vallejo-Fairfield, CA 74.2          10.2 2.3% 8
    37 Sioux Falls, SD 73.6          13.4 1.0% (11)
    38 Fargo, ND-MN 73.3          10.1 1.3% (16)
    39 Dover, DE 72.3            4.8 3.6% 26
    40 Port St. Lucie, FL 71.1            5.5 1.2% 49
    41 Cleveland, TN 71.1            8.6 1.6% (8)
    42 Odessa, TX 71.1            5.3 -2.5% (39)
    43 Racine, WI 70.8          18.7 1.1% (20)
    44 Waterloo-Cedar Falls, IA 70.5          17.5 -0.2% (30)
    45 Logan, UT-ID 70.1          11.1 0.9% 11
    46 Kankakee-Bradley, IL 69.4            5.5 0.0% (10)
    47 Bellingham, WA 69.1            8.9 -1.1% (13)
    48 Fort Collins-Loveland, CO 68.9          11.8 1.4% (8)
    49 Lima, OH 68.9            8.3 2.9% 71
    50 Greeley, CO 68.4          11.5 1.5% 4
    51 Sandusky, OH 68.1            6.1 2.2% (5)
    52 Spartanburg, SC 68.0          26.0 3.2% (18)
    53 Amarillo, TX 67.9          13.4 1.0% 28
    54 Rapid City, SD 67.1            2.9 7.4% 7
    55 Visalia-Porterville, CA 66.9          11.6 0.6% (38)
    56 Ithaca, NY 66.8            3.4 3.0% 15
    57 El Centro, CA 66.8            2.5 4.1% (27)
    58 Lafayette, IN 66.3          16.3 0.6% (41)
    59 Lake Charles, LA 65.7            9.0 1.5% 15
    60 Lawton, OK 65.6            3.6 2.9% 38
    61 Chico, CA 65.5            3.6 -2.7% Not Rated
    62 Rockford, IL 65.3          31.3 -3.0% (47)
    63 Appleton, WI 64.5          22.9 0.4% (25)
    64 Bay City, MI 64.3            4.2 3.3% (20)
    65 Longview, WA 64.1            6.3 1.6% 27
    66 Saginaw-Saginaw Township North, MI 63.9          11.8 2.3% (25)
    67 Olympia, WA 63.9            3.2 2.1% 65
    68 Anderson, SC 63.5          12.5 2.5% (2)
    69 Yakima, WA 63.3            8.1 1.7% 37
    70 Bloomington, IN 63.2            9.2 -2.1% (31)
    71 Sheboygan, WI 63.0          19.5 3.7% 94
    72 Rochester-Dover, NH-ME NECTA 62.6            6.1 1.7% 59
    73 Victoria, TX 62.5            6.0 -1.1% (31)
    74 Niles-Benton Harbor, MI 62.5          12.3 3.4% 28
    75 Tuscaloosa, AL 62.3          13.4 1.0% 7
    76 Bowling Green, KY 61.9            8.6 0.4% (3)
    77 Anderson, IN 61.9            3.9 3.5% (19)
    78 College Station-Bryan, TX 61.9            5.4 0.0% (59)
    79 Yuba City, CA 61.8            2.1 0.0% (12)
    80 Grand Junction, CO 60.8            2.8 3.8% 28
    81 Charleston, WV 59.9            5.7 4.3% 28
    82 Monroe, MI 59.6            5.3 2.6% (8)
    83 Lebanon, PA 59.4            9.0 -0.4% 33
    84 Greenville, NC 59.1            6.9 -0.5% (79)
    85 Grand Forks, ND-MN 58.4            3.5 1.9% 10
    86 Bend, OR 58.3            4.1 2.5% 63
    87 Waco, TX 58.2          14.6 0.0% (33)
    88 La Crosse, WI-MN 57.8            8.5 0.0% 71
    89 Eau Claire, WI 57.4          10.4 -0.6% (41)
    90 Sioux City, IA-NE-SD 57.3          12.5 2.2% (15)
    91 Terre Haute, IN 56.2          11.4 -0.6% (23)
    92 Abilene, TX 55.7            2.7 0.0% 76
    93 Brockton-Bridgewater-Easton, MA  NECTA Div 55.2            7.5 2.8% 91
    94 Norwich-New London, CT-RI NECTA 55.1          14.6 1.9% 33
    95 Springfield, OH 54.6            6.5 3.7% (82)
    96 Kalamazoo-Portage, MI 54.3          19.4 3.0% 0
    97 Barnstable Town, MA NECTA 53.0            2.9 0.0% (15)
    98 Vineland-Millville-Bridgeton, NJ 52.4            8.3 0.8% 1
    99 Erie, PA 52.3          22.2 -1.0% (67)
    100 St. George, UT 52.3            2.5 -2.6% (10)
    101 Decatur, AL 51.6          12.1 2.2% 36
    102 Lowell-Billerica-Chelmsford, MA-NH  NECTA Div 51.5          17.5 1.0% (16)
    103 Ocala, FL 50.8            6.8 0.0% 54
    104 Huntington-Ashland, WV-KY-OH 50.2            8.9 0.0% 9
    105 Yuma, AZ 49.2            2.1 -3.0% (4)
    106 Cedar Rapids, IA 49.2          20.2 -0.5% 24
    107 Sebastian-Vero Beach, FL 48.9            1.8 5.9% 71
    108 Pascagoula, MS 48.2          13.8 1.7% 81
    109 Gainesville, FL 47.8            4.5 0.7% 60
    110 Lubbock, TX 47.6            4.9 -1.4% (51)
    111 Bloomington-Normal, IL 47.4            4.4 1.5% (33)
    112 Salem, OR 47.1          11.1 1.8% 49
    113 South Bend-Mishawaka, IN-MI 46.8          16.8 0.6% 13
    114 Bismarck, ND 46.8            1.9 9.6% 82
    115 Salinas, CA 46.7            5.4 5.2% 47
    116 Owensboro, KY 46.5            8.3 0.0% (13)
    117 Duluth, MN-WI 45.9            7.3 -1.4% 7
    118 Morristown, TN 45.2          10.8 3.8% 35
    119 St. Cloud, MN 44.9          14.8 -0.7% 3
    120 Gadsden, AL 44.4            4.9 -2.0% (32)
    121 Topeka, KS 43.6            7.0 -3.7% (38)
    122 Casper, WY 43.4            1.8 -3.6% (65)
    123 Monroe, LA 42.9            6.7 0.5% (19)
    124 Pittsfield, MA NECTA 42.7            3.2 1.1% (31)
    125 Carson City, NV 42.3            2.6 1.3% 10
    126 Lake Havasu City-Kingman, AZ 41.6            2.8 1.2% 19
    127 State College, PA 41.3            4.0 -0.8% (27)
    128 Rocky Mount, NC 41.1            8.0 5.7% 23
    129 Janesville, WI 41.1            9.0 1.1% 9
    130 Lynchburg, VA 40.6          14.6 -0.2% 1
    131 Santa Fe, NM 40.4            0.8 0.0% (21)
    132 Killeen-Temple-Fort Hood, TX 40.3            7.2 0.0% 8
    133 Eugene-Springfield, OR 39.6          12.6 2.4% 59
    134 Utica-Rome, NY 38.9          11.0 0.0% (16)
    135 Hickory-Lenoir-Morganton, NC 38.8          37.8 1.3% 9
    136 Redding, CA 38.4            2.2 3.2% (38)
    137 Wausau, WI 38.3          14.8 1.1% 48
    138 Joplin, MO 38.2          12.8 0.3% 1
    139 Flint, MI 38.2          11.4 -2.6% (69)
    140 Burlington-South Burlington, VT NECTA 37.0          13.4 -3.6% (68)
    141 Glens Falls, NY 36.6            6.1 -2.7% (31)
    142 Kingsport-Bristol-Bristol, TN-VA 36.3          21.4 -0.9% (62)
    143 Sherman-Denison, TX 36.2            5.3 -1.9% (32)
    144 Springfield, IL 36.2            3.0 0.0% (23)
    145 Sumter, SC 36.0            6.1 0.0% 5
    146 Muncie, IN 35.5            4.1 -3.9% (98)
    147 Mansfield, OH 33.8            9.3 -1.1% (41)
    148 Decatur, IL 33.6          10.0 -7.7% 40
    149 Peabody, MA  NECTA Div 33.5          10.1 -0.7% (16)
    150 Hanford-Corcoran, CA 33.1            3.8 -4.2% (8)
    151 Kingston, NY 31.1            3.4 1.0% 27
    152 Hattiesburg, MS 31.1            4.1 -5.4% (85)
    153 Jackson, TN 29.7            8.4 1.2% (27)
    154 Gulfport-Biloxi, MS 29.6            5.4 -1.2% 2
    155 San Angelo, TX 28.1            3.2 -10.3% (128)
    156 Danville, VA 28.0            6.6 -3.9% (96)
    157 Wilmington, NC 27.4            7.3 -2.7% (12)
    158 Fayetteville, NC 27.3          11.3 -5.0% (79)
    159 Altoona, PA 27.1            6.8 -3.8% (95)
    160 Albany, GA 26.8            4.4 1.5% 12
    161 Leominster-Fitchburg-Gardner, MA NECTA 26.5            6.1 0.0% 21
    162 Waterbury, CT NECTA 26.2            7.5 -0.4% (22)
    163 Burlington, NC 25.7            8.5 -0.8% (49)
    164 Brownsville-Harlingen, TX 24.8            5.5 -2.9% (77)
    165 Manchester, NH NECTA 24.1            7.5 -0.4% (5)
    166 Lewiston-Auburn, ME NECTA 23.4            4.7 -0.7% 11
    167 Bangor, ME NECTA 23.2            2.6 -1.3% (42)
    168 Michigan City-La Porte, IN 22.5            7.5 -2.6% (51)
    169 Champaign-Urbana, IL 22.5            8.0 -2.0% (48)
    170 Steubenville-Weirton, OH-WV 21.8            5.7 1.8% 9
    171 Wichita Falls, TX 21.2            5.2 -3.7% 17
    172 Rome, GA 20.9            5.5 -1.2% (3)
    173 Palm Coast, FL 20.5            0.8 0.0% 11
    174 Dalton, GA 20.4          21.1 -0.3% 23
    175 Williamsport, PA 20.3            8.1 -1.6% (1)
    176 Anniston-Oxford, AL 19.9            5.6 -1.7% (40)
    177 Hagerstown-Martinsburg, MD-WV 19.1            7.6 -2.6% (20)
    178 Longview, TX 19.0            9.7 -5.8% (30)
    179 Cheyenne, WY 18.8            1.2 -5.1% (24)
    180 Rochester, MN 18.3            9.8 -6.4% (52)
    181 Pocatello, ID 17.4            3.0 -3.2% (9)
    182 New Bedford, MA NECTA 16.9            7.8 -7.2% (33)
    183 Danville, IL 16.5            4.8 -7.7% (94)
    184 Texarkana, TX-Texarkana, AR 15.7            3.9 -4.9% (2)
    185 Clarksville, TN-KY 14.8            9.9 -4.8% (4)
    186 Crestview-Fort Walton Beach-Destin, FL 14.5            3.3 -3.9% 5
    187 Fort Smith, AR-OK 14.5          18.3 0.2% 6
    188 Elmira, NY 12.6            5.1 -10.1% (35)
    189 Nashua, NH-MA  NECTA Div 12.2          19.7 -4.5% (26)
    190 Las Cruces, NM 12.1            2.7 -6.9% (47)
    191 Dothan, AL 11.7            4.7 0.0% 8
    192 Johnstown, PA 11.0            3.7 -6.7% (31)
    193 Johnson City, TN 10.9            7.3 -3.5% (22)
    194 Wheeling, WV-OH 8.2            3.2 -4.0% (28)
    195 Tyler, TX 7.7            5.2 -1.9% (1)
    196 Atlantic City-Hammonton, NJ 7.3            2.1 -4.6% 2
    197 Corvallis, OR 5.2            2.9 -4.3% (10)
    198 Binghamton, NY 3.9          11.9 -5.3% (4)
    199 Laredo, TX 1.0            0.7 -8.7% 1