Table of Contents
Executive Summary
Talent is the driving force behind economic development. But like many other economic factors, it is not evenly distributed, with significant concentrations in coastal superstar cities and tech hubs. Even before the explosion of remote work in the wake of the COVID pandemic, there were indications that talent was beginning to disperse as those coastal hubs lost population to comparatively affordable metros in the Sunbelt and traditional American heartland.
This report seeks to sort out the cumulative impact of these trends on the geography of talent across the United States, with a special focus on the heartland region.
To do so, our research updates the data in our 2022 Heartland of Talent report, which examined the changing geography of talent across US metros between 2010 and 2019. This report extends that analysis to the post-pandemic period of 2019 to 2023, the most recent year for which data are currently available.
Our research uses two basic metrics to assess the geography of talent in America between 2019 to 2023: an educational measure, the share of adults who are college graduates and an occupational measure, the share of the workforce employed in knowledge, professional and creative occupations. Our analysis covers all 387 U.S. metros but focuses particularly on the 170 metros in the 20 states that make up the heartland region. Our research also compares trends in America’s 54 largest metros, those with over one million people, to those in the remaining 333 metros whose populations number between 50,000 and one million. Overall, our findings document an ongoing shift in the geography of talent, with heartland metros doing better on both measures.
Concentration of Talent: Heartland metros now rank among the nation’s leaders in the concentration of talent.
- While coastal superstar cities and tech hubs like San Francisco, San Jose, Washington, D.C. and Boston remain national talent leaders, heartland metros like Austin, Minneapolis-St. Paul, Nashville and Chicago also number among the top 20 large metros for college grads.
- Austin, the Twin Cities, Nashville, Columbus, OH, Kansas City and St. Louis rank among the top 20 metros for the creative class.1
- Small and medium size heartland metros and especially heartland college towns boast even larger concentrations of college graduates than their counterparts without colleges.
- Ann Arbor, Lawrence, KS, Ames and Iowa City, IA, Bloomington, IL, Madison, WI and Columbia, MO all rank among the national leaders in their concentrations of college grads.
- Ann Arbor, Lawrence, KS, Madison, WI, Huntsville, AL and Columbia, MO rank among the leaders in their concentrations of the creative class.
Growth of Talent: Heartland metros do even better when we look at the change in talent in the post-pandemic period.
- Austin ranks first among large metros in its growth in college grads, with Indianapolis, Grand Rapids, Milwaukee, Nashville and Dallas all numbering among the top 20 large metros.
- Grand Rapids tops the list of large metros in growth of the creative class, with Nashville in second and San Antonino in fourth place. Indianapolis, Kansas City, Austin and Dallas all rank among the top 20 large metros on that measure.
- Small and medium-sized heartland metros also do well, with Florence-Muscle Shoals, AL, Bloomington, IL; Hattiesburg, MS; and Lexington- Fayette, KY numbering among the top 20 small and medium-sized metros for growth of college grads.
- Small and medium sized heartland metros do even better on the growth of the creative class, taking four of the five top spots on this measure. Florence-Muscle Shoals, AL ranks first and Tuscaloosa, FL second, Lima, OH is fourth and Lawrence, KS is fifth. Anniston-Oxford, AL, Niles, MI and Columbia, MO rank among the top 20 small and medium-sized metros for growth in the creative class.
Introduction
Talent is a driving force, if not the driving force, in the wealth of places. Adam Smith famously identified skilled people as the “fourth factor of production” alongside land, labor and capital.2 The role that dense urban clusters of talent play in regional innovation and growth was first recognized by the late great urbanist Jane Jacobs in the early 1960s.3 The Nobel prize-winning economist Robert Lucas speculated that those “human capital externalities,” as he called them, were the basic underlying mechanism of economic growth.4 Since then, the role of talent in the innovativeness and growth of cities and nations has been documented in a large and growing body of research.5
But talent is not evenly distributed.6 By the turn of the twenty-first century, more than half of adults in leading metros were college graduates, while in lagging metros less than 15% of adults held college degrees. The same is true of the knowledge and professional workers who make up the “creative class.”7 Here again, more than half of workers in leading metros belong to the creative class, while in lagging metros they make up less than 25% of the workforce. Over the first two decades of the 21st century, the geography of talent took an increasingly “winner-take-all” form, as college grads and knowledge workers became massively clustered in coastal superstar cities and tech hubs.8
There is reason to believe that this geography may now be shifting at the margins as those superstar cities and tech hubs come up against their limits to growth.9 Even before the COVID-19 crisis, traffic congestion, runaway gentrification and extreme inequality were exacting a toll on their quality of life, a “new urban crisis” that was driven in large part by their prior success at attracting talent.10 Spurred by the pandemic-induced shift to remote work, knowledge workers and knowledge-based businesses began to seek out more affordable locations.11 Whether that trend will continue is unclear, as the affordability advantages of many of those places have eroded and growing numbers of large corporations are demanding that executives return to their offices.12
To get a clearer picture of the degree to which the geography of talent has changed since 2019, we updated our 2022 Heartland of Talent report, which examined the changing geography of talent across US metro regions between 2010 to 2019, to account for changes between 2019 and 2023, the most recent year for which data is available.13 As in that earlier report, we employed two basic metrics for talent. The first is the standard measure of educational attainment, which is the share of adults aged 25 and older who hold a bachelor’s degree or higher.14 The second is an occupational measure, the share of the workforce aged 16 and older that works in the knowledge, professional, artistic and cultural occupations that make up the creative class. These include computer and mathematical occupations; architecture and engineering occupations; life, physical and social science occupations; education, training and library occupations; arts, design, entertainment, sports and media occupations; business, management and financial occupations; legal occupations; and health-care practitioners and technical occupations.15 While there is some overlap between the two measures, they are not the same. While three-fourths of adults with college degrees are members of the creative class, less than 60% of workers in creative class occupations have college degrees.16
Once again, our analysis covers the geography of talent for all 387 U.S. metros with a special focus on the 170 metros in the 20 states that make up America’s heartland region (see map).17 Those metros are home to roughly 104 million people, roughly 31% of the U.S. population. The heartland produces almost$7.5 trillion in GDP, roughly 28% of total U.S. economic output.18 Our analysis also separates out talent levels and trends for the 54 large metros with over one million people and the 333 small and medium-sized metros with between 50,000 and one million people.
Figure 1: Heartland Metropolitan Statistical Areas (with Alaska & Hawaii inlaid)
College Grads
Table 1 shows the top 20 large US metros based on shares of adults that hold bachelor’s degrees or higher as of 2023 and the growth in talent from 2019 to 2023.19 Large metros in the heartland (with more than one million people) have 16.8 million people with college degrees and account for approximately two thirds of all college grads in the heartland. All in all, 39.1% of adults in large heartland metros have a college degree compared to 41.1% across all large metros in the U.S.
College graduates make up more than half of all adults in six large metros: San Jose, Washington, DC, San Francisco, Raleigh-Cary, Boston and Austin. San Jose, the heart of Silicon Valley, tops the list of large metros, with a whopping 55.8% of adults holding a college degree.
There are 14 large metros where between 40 and 50% of adults are college grads. For comparison, the national share hovers at 36.2% of adults being college grads.
Four of the top 20 large metros are in the heartland. 52.1% of adult workers in sixth-ranked Austin are college graduates and the Twin Cities of Minneapolis-St. Paul is ranked ninth with 46.2%. 16th ranked Nashville has 42.4% and 18th-ranked Chicago has 42.1% college grads.
Table 1: Top 20 Large Metros for College Grads, 2023
RANK | OVERALL RANK | METRO | COLLEGE GRAD SHARE |
---|---|---|---|
1 | 5 | San Jose-Sunnyvale-Santa Clara, CA | 55.8% |
2 | 7 | Washington-Arlington-Alexandria, DC-VA-MD-WV | 54.8% |
3 | 10 | San Francisco-Oakland-Fremont, CA | 53.1% |
4 | 12 | Raleigh-Cary, NC | 52.7% |
5 | 13 | Boston-Cambridge-Newton, MA-NH | 52.2% |
6 | 14 | Austin-Round Rock-San Marcos, TX | 52.1% |
7 | 19 | Denver-Aurora-Centennial, CO | 49.9% |
8 | 24 | Seattle-Tacoma-Bellevue, WA | 48.6% |
9 | 33 | Minneapolis-St. Paul-Bloomington, MN-WI | 46.2% |
10 | 40 | New York-Newark-Jersey City, NY-NJ | 44.6% |
11 | 43 | Baltimore-Columbia-Towson, MD | 44.4% |
12 | 46 | Portland-Vancouver-Hillsboro, OR-WA | 43.8% |
13 | 47 | San Diego-Chula Vista-Carlsbad, CA | 43.5% |
14 | 53 | Atlanta-Sandy Springs-Roswell, GA | 42.6% |
15 | 54 | Hartford-West Hartford-East Hartford, CT | 42.5% |
16 | 56 | Nashville-Davidson–Murfreesboro–Franklin, TN | 42.4% |
17 | 57 | Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 42.3% |
18 | 61 | Chicago-Naperville-Elgin, IL-IN | 42.1% |
19 | 63 | Richmond, VA | 41.9% |
20 | 66 | Charlotte-Concord-Gastonia, NC-SC | 41.3% |
Large Metros | 41.1% | ||
U.S. | 36.2% |
Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates, Table S1501 – Educational Attainment.
Table 2 lists the top 20 small and medium-sized metros for college grads. Boulder, the home of the University of Colorado, ranks first among these metros and first in the nation overall, with nearly two-thirds of its adults (65.4%) holding bachelor’s degrees. Ithaca, NY (Cornell University) ranks second with 60.6%. The list is dominated by college towns and heartland metros are no exception. Ann Arbor, home of the University of Michigan, ranks third among these metros and third overall with 60.2%.
All in all, heartland metros comprised eight of the top 20 small and medium-sized metros for college grads, including seventh-place Lawrence, home to the University of Kansas, with 53.2% college grads; 11th-ranked Iowa City (University of Iowa) with 50.7% college grads; Bloomington, IL (nearby is the University of Illinois at Urbana-Champaign) ranks 14th with 49.6%; Madison, home of the University of Wisconsin’s main campus, ranks 15th with 49.2%;
Columbia (University of Missouri) is 16th with 49%; Ames (Iowa State) is 18th with 48.3%; and Bloomington, home of Indiana University, is 20th with 47.7%. These are all well above the 32.9% average for small and medium size metros and 36.2% for the US overall.
We now turn to the change in college grads between 2019 and 2023. Table 3 charts the trend for large metros. Austin takes the top spot, with a six percentage point growth in college grads. Six other heartland metros made the top 20, including Indianapolis (4.5 percentage points); San Antonio (4.3 percentage points), Grand Rapids (4.2 percentage points), Milwaukee (4.1 percentage points), Nashville (3.9 percentage points) and Dallas (3.7 percentage points).
Table 2: Top 20 Small and Medium Metros for College Grads, 2023
RANK | OVERALL RANK | METRO | COLLEGE GRAD SHARE |
---|---|---|---|
1 | 1 | Boulder, CO | 65.4% |
2 | 2 | Ithaca, NY | 60.6% |
3 | 3 | Ann Arbor, MI | 60.2% |
4 | 4 | Corvallis, OR | 56.4% |
5 | 6 | Charlottesville, VA | 55.5% |
6 | 8 | Durham-Chapel Hill, NC | 54.7% |
7 | 9 | Lawrence, KS | 53.2% |
8 | 11 | Fort Collins-Loveland, CO | 52.9% |
9 | 15 | Bridgeport-Stamford-Danbury, CT | 51.9% |
10 | 16 | Bozeman, MT | 51.0% |
11 | 17 | Iowa City, IA | 50.7% |
12 | 18 | Amherst Town-Northampton, MA | 50.2% |
13 | 20 | Barnstable Town, MA | 49.8% |
14 | 21 | Bloomington, IL | 49.6% |
15 | 22 | Madison, WI | 49.2% |
16 | 23 | Columbia, MO | 49.0% |
17 | 25 | Burlington-South Burlington, VT | 48.5% |
18 | 26 | Ames, IA | 48.3% |
19 | 27 | Portland-South Portland, ME | 48.0% |
20 | 28 | Bloomington, IN | 47.7% |
Small and Medium Size Metros | 32.9% | ||
U.S. | 36.2% |
Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates, Table S1501 – Educational Attainment.
Table 3: Top 20 Large Metros on Growth of College Grads, 2019-2023
RANK | OVERALL RANK | METRO | CHANGE IN COLLEGE GRAD SHARE |
---|---|---|---|
1 | 27 | Austin-Round Rock-San Marcos, TX | 6.0 |
2 | 38 | Charlotte-Concord-Gastonia, NC-SC | 5.1 |
3 | 44 | Jacksonville, FL | 4.9 |
4 | 49 | Raleigh-Cary, NC | 4.8 |
5 | 50 | Orlando-Kissimmee-Sanford, FL | 4.8 |
6 | 60 | Indianapolis-Carmel-Greenwood, IN | 4.5 |
7 | 62 | Miami-Fort Lauderdale-West Palm Beach, FL | 4.5 |
8 | 64 | Seattle-Tacoma-Bellevue, WA | 4.5 |
9 | 70 | Richmond, VA | 4.4 |
10 | 79 | San Antonio-New Braunfels, TX | 4.3 |
11 | 83 | Grand Rapids-Wyoming-Kentwood, MI | 4.2 |
12 | 86 | Denver-Aurora-Centennial, CO | 4.2 |
13 | 88 | Tucson, AZ | 4.1 |
14 | 92 | Milwaukee-Waukesha, WI | 4.1 |
15 | 97 | Sacramento-Roseville-Folsom, CA | 4.0 |
16 | 105 | Nashville-Davidson–Murfreesboro–Franklin, TN | 3.9 |
17 | 118 | Dallas-Fort Worth-Arlington, TX | 3.7 |
18 | 121 | San Diego-Chula Vista-Carlsbad, CA | 3.6 |
19 | 130 | Portland-Vancouver-Hillsboro, OR-WA | 3.5 |
20 | 139 | Washington-Arlington-Alexandria, DC-VA-MD-WV | 3.4 |
Large Metros | 3.1 | ||
U.S. | 3.1 |
Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates, Table S1501 – Educational Attainment. 2019 numbers from Florida, R. et al. (2022) Heartland of Talent: How Heartland Metropolitans are Changing the Map of Talent in the U.S.. Heartland Forward. https://heartlandforward.org/case-study/heartland-of-talent-how-heartland-metropolitans-are-changing-the-map-of-talent-in-the-u-s/.20
Table 4: Top 20 Small and Medium Metros on Growth of College Grads, 2019-2023
RANK | OVERALL RANK | METRO | CHANGE IN COLLEGE GRAD SHARE |
---|---|---|---|
1 | 1 | Asheville, NC | 9.2 |
2 | 2 | Florence-Muscle Shoals, AL | 9.1 |
3 | 3 | Hilton Head Island-Bluffton-Port Royal, SC | 9.0 |
4 | 4 | Casper, WY | 8.5 |
5 | 5 | Durham-Chapel Hill, NC | 8.4 |
6 | 6 | Logan, UT-ID | 8.3 |
7 | 7 | Hattiesburg, MS | 8.1 |
8 | 8 | Coeur d’Alene, ID | 7.5 |
9 | 9 | New Haven, CT | 7.3 |
10 | 10 | Atlantic City-Hammonton, NJ | 7.3 |
11 | 11 | Pensacola-Ferry Pass-Brent, FL | 7.2 |
12 | 12 | Rome, GA | 7.2 |
13 | 13 | Bloomington, IN | 6.7 |
14 | 14 | Olympia-Lacey-Tumwater, WA | 6.6 |
15 | 15 | St. George, UT | 6.4 |
16 | 16 | Brunswick-St. Simons, GA | 6.4 |
17 | 17 | Charlottesville, VA | 6.3 |
18 | 18 | Kingston, NY | 6.3 |
19 | 19 | Lexington-Fayette, KY | 6.2 |
20 | 20 | Pocatello, ID | 6.2 |
Small and Medium Size Metros | 3.2 | ||
U.S. | 3.1 |
Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates, Table S1501 – Educational Attainment. 2019 numbers from Florida, R. et al. (2022) Heartland of Talent: How Heartland Metropolitans are Changing the Map of Talent in the U.S.. Heartland Forward. https://heartlandforward.org/case-study/heartland-of-talent-how-heartland-metropolitans-are-changing-the-map-of-talent-in-the-u-s/.
Table 4 charts the change in college grads for the top 20 small and medium-sized metros. Asheville tops the list with 9.2 percentage point growth, the highest of any metro in the country. Heartland metros take four of the 20 spots overall, with Florence, AL second of small and medium-sized metros and second overall (9.1percentage points). Hattiesburg, MS is seventh with 8.1 percentage points; Bloomington, IN is 13th with growth of 6.7 percentage points and Lexington, KY is 19th, with growth of 6.2 percentage points. All of these metros have growth in college grads which is significantly better than the 3.2 percentage point growth for all small and medium-sized metros and 3.1 percentage point growth for the U.S. overall.
Figure 2 maps metros on both their shares and growth of college grads. The sizes of the bubbles represent the share of college grads in 2019.
Metros that have both high shares and high growth of college grads include long standing talent hubs like San Jose, Boston, Washington, D.C., New York, Seattle, Denver and Austin. But they also include large metros like Chicago, San Diego and Portland, Oregon, as well as heartland college towns like Ann Arbor and Madison.
Metros with high shares but low growth of college grads include large metros like Atlanta, Baltimore, Detroit, Boulder, San Francisco and Detroit, as well as college towns, like Houston and Champaign-Urbana in the heartland.
Metros that have low shares but high growth in college grads include a wide array of smaller heartland metros, such as Abilene, Wichita Falls, Mobile and Shreveport.
Figure 2: Educational Attainment and Change Across Metropolitan Areas
Creative Class
We now look at the geography of talent through an occupational lens, charting the changing shares of adults (16 years of age and older) who work in the knowledge, professional and artistic occupations that make up the creative class. Our analysis covers the growth in the creative class share from 2019 to 2023, the most recent year for which data are available.21
Table 5 shows the top 20 large metros for creative class share, which exceeds 44% in all of them. The list is a veritable who’s who of leading tech hubs. San Jose takes the top spot with 57.2%. The creative class accounts for more than half of the workforce in six additional large metros: Washington, D.C. (56.3%), San Francisco (54.3%), Raleigh-Cary (54.1%), Boston (52.2%), Austin (52.1%) and Seattle (51.2%).
Six of the top 20 large metros for the creative class are in the heartland. Austin is in sixth place and Minneapolis-St. Paul is 10th (with 47.4%), followed by 16th ranked Nashville (46.0%), Columbus, OH in 18th place with 45.5%, Kansas City in 19th place (45.4%) and St. Louis in 20th place (44.8%).
Table 5: Top 20 Large Metros for the Creative Class, 2023
RANK | OVERALL RANK | METRO | CREATIVE CLASS SHARE |
---|---|---|---|
1 | 2 | San Jose-Sunnyvale-Santa Clara, CA | 57.2% |
2 | 5 | Washington-Arlington-Alexandria, DC-VA-MD-WV | 56.3% |
3 | 8 | San Francisco-Oakland-Fremont, CA | 54.3% |
4 | 9 | Raleigh-Cary, NC | 54.1% |
5 | 11 | Boston-Cambridge-Newton, MA-NH | 52.2% |
6 | 12 | Austin-Round Rock-San Marcos, TX | 52.1% |
7 | 13 | Seattle-Tacoma-Bellevue, WA | 51.2% |
8 | 17 | Denver-Aurora-Centennial, CO | 49.9% |
9 | 19 | Baltimore-Columbia-Towson, MD | 49.5% |
10 | 31 | Minneapolis-St. Paul-Bloomington, MN-WI | 47.4% |
11 | 37 | Portland-Vancouver-Hillsboro, OR-WA | 46.9% |
12 | 39 | San Diego-Chula Vista-Carlsbad, CA | 46.6% |
13 | 41 | Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 46.5% |
14 | 43 | New York-Newark-Jersey City, NY-NJ | 46.1% |
15 | 45 | Hartford-West Hartford-East Hartford, CT | 46.0% |
16 | 46 | Nashville-Davidson–Murfreesboro–Franklin, TN | 46.0% |
17 | 47 | Richmond, VA | 45.5% |
18 | 48 | Columbus, OH | 45.5% |
19 | 49 | Kansas City, MO-KS | 45.4% |
20 | 52 | St. Louis, MO-IL | 44.8% |
Large Metros | 44.6% | ||
U.S. | 41.3% |
Source: U.S. Census Bureau, 2023 American Community Estimates, Table S2401 – Occupation by sex for the civilian employed population 16 years and over.
Table 6 shows the top 20 small and medium-sized metros on their share of the creative class. Boulder takes the top spot with nearly 60% of its workforce (58.1%) in creative class occupations. College towns again have outsized performance on this measure, a trend that is especially pronounced for heartlandmetros. Ann Arbor, MI is second with 56.9%, Madison, WI is sixth (52.3%), Lawrence, KS is eighth (51.1%), Huntsville, AL ninth (50.2%) and Columbia, MO is 20th (47.6%). Overall, the creative class for these metros far exceeds that of the 38.7% average share for small and medium-sized metros and 41.3 precent share for the nation on the whole.
Table 7 lists the top 20 large metros for creative class growth. Heartland metros take the two top spots and account for seven of the top 20 overall. Grand Rapids is first with 6.1 percentage point growth, followed closely by Nashville with 6.0 percentage point growth. San Antonio is fourth, Indianapolis sixth (each with 5.3 percentage points), followed by Kansas City in seventh place (with 4.9 percentage points), Austin in twelfth place (4.7 percentage points) and Dallas in eighteenth place (4.2 percentage points). Overall, large heartland metros have seen growth of 3.6 percentage points for the creative class, slightly above the 3.3 percentage point growth for large metros and the nation as a whole.
Table 6: Top 20 Small and Medium Metros for the Creative Class, 2023
RANK | OVERALL RANK | METRO | CREATIVE CLASS SHARE |
---|---|---|---|
1 | 1 | Boulder, CO | 65.4% |
2 | 3 | Ann Arbor, MI | 60.6% |
3 | 4 | Ithaca, NY | 60.2% |
4 | 6 | Durham-Chapel Hill, NC | 56.4% |
5 | 7 | Charlottesville, VA | 55.5% |
6 | 10 | Madison, WI | 54.7% |
7 | 14 | Corvallis, OR | 53.2% |
8 | 15 | Lawrence, KS | 52.9% |
9 | 16 | Huntsville, AL | 51.9% |
10 | 18 | Gainesville, FL | 51.0% |
11 | 20 | Burlington-South Burlington, VT | 50.7% |
12 | 21 | Trenton-Princeton, NJ | 50.2% |
13 | 22 | Lexington Park, MD | 49.8% |
14 | 23 | Bridgeport-Stamford-Danbury, CT | 49.6% |
15 | 24 | Fort Collins-Loveland, CO | 49.2% |
16 | 25 | Barnstable Town, MA | 49.0% |
17 | 26 | Amherst Town-Northampton, MA | 48.5% |
18 | 27 | Helena, MT | 48.3% |
19 | 28 | State College, PA | 48.0% |
20 | 29 | Columbia, MO | 47.7% |
Small and Medium Size Metros | 32.9% | ||
U.S. | 36.2% |
Source: U.S. Census Bureau, 2023 American Community Estimates, Table S2401 – Occupation by sex for the civilian employed population 16 years and over.
Table 7: Top 20 Large Metros for Growth of the Creative Class, 2019- 2023
RANK | OVERALL RANK | METRO | CHANGE IN CREATIVE CLASS |
---|---|---|---|
1 | 46 | Grand Rapids-Wyoming-Kentwood, MI | 6.1 |
2 | 47 | Nashville-Davidson–Murfreesboro–Franklin, TN | 6.0 |
3 | 48 | Raleigh-Cary, NC | 6.0 |
4 | 73 | San Antonio-New Braunfels, TX | 5.3 |
5 | 74 | Richmond, VA | 5.3 |
6 | 75 | Indianapolis-Carmel-Greenwood, IN | 5.3 |
7 | 96 | Kansas City, MO-KS | 4.9 |
8 | 98 | Portland-Vancouver-Hillsboro, OR-WA | 4.8 |
9 | 100 | Seattle-Tacoma-Bellevue, WA | 4.8 |
10 | 103 | Denver-Aurora-Centennial, CO | 4.8 |
11 | 104 | Tucson, AZ | 4.7 |
12 | 105 | Austin-Round Rock-San Marcos, TX | 4.7 |
13 | 107 | Charlotte-Concord-Gastonia, NC-SC | 4.6 |
14 | 116 | Sacramento-Roseville-Folsom, CA | 4.4 |
15 | 117 | San Diego-Chula Vista-Carlsbad, CA | 4.4 |
16 | 124 | Jacksonville, FL | 4.3 |
17 | 125 | Miami-Fort Lauderdale-West Palm Beach, FL | 4.3 |
18 | 128 | Dallas-Fort Worth-Arlington, TX | 4.2 |
19 | 129 | Phoenix-Mesa-Chandler, AZ | 4.2 |
20 | 134 | Orlando-Kissimmee-Sanford, FL | 4.1 |
Large Metros | 3.3 | ||
U.S. | 3.3 |
Source: U.S. Census Bureau, 2023 American Community Estimates, Table S2401 – Occupation by sex for the civilian employed population 16 years and over. 2019 numbers from Florida, R. et al. (2022) Heartland of Talent: How Heartland Metropolitans are Changing the Map of Talent in the U.S., Heartland Forward. https://heartlandforward.org/case-study/heartland-of-talent-how-heartland-metropolitans-are-changing-the-map-of-talent-in-the-u-s/.
Table 8 tracks creative class growth for the top 20 small and medium-sized metros. Heartland metros took four of the top five spots and seven of the top 20 spots for creative class growth. Florence, AL is first with 11.2 percentage point growth; Tuscaloosa, AL is second (10.2 percentage points), Lima, OH is fourth (9.8 percentage points), Lawrence, KS is fifth (9.6 percentage points), Anniston, AL is twelfth (8.6 percentage points), Niles, MI is 17th and Columbia, MO is 18th (both with 7.9 percentage point growth). All of these metros are significantly above the 3.5 percentage point growth for small and medium-sized metros overall and the 3.3 percentage point growth for the US as a whole.
Figure 3 maps metros on both their creative class shares and growth. Again, the size of the bubble reflects the size of their creative class share in 2019.
Metros that have both high shares and high growth of the creative class include long standing tech hubs and talent magnets like San Francisco, Washington, D.C, Seattle, Denver and Austin. This group is joined by large metros like Pittsburgh, Baltimore and Buffalo, as well as Chicago, Dallas, Nashville, San Antonio and St. Louis in the heartland and several smaller heartland metros, such as Akron, Huntsville, Little Rock and New Orleans.
Metros that that have low shares but high growth in the creative class include a wide array of smaller heartland metros, such as Brownsville, Corpus Christi and Victoria, TX; Enid, OK; Monroe, LA; Toledo, OH and Kankakee, IL.
Metros that have high shares but low growth of creative class employment include Atlanta, Baltimore, Boston, Los Angeles, New York and Boston, as well as such large heartland metros as Birmingham, Cincinnati, Cleveland, Houston and Tulsa.
Table 8: Top 20 Small and Medium Metros for Growth of the Creative Class, 2019-2023
RANK | OVERALL RANK | METRO | CHANGE IN CREATIVE CLASS |
---|---|---|---|
1 | 1 | Florence-Muscle Shoals, AL | 11.2 |
2 | 2 | Tuscaloosa, AL | 10.2 |
3 | 3 | Barnstable Town, MA | 10.0 |
4 | 4 | Lima, OH | 9.8 |
5 | 5 | Lawrence, KS | 9.6 |
6 | 6 | Hinesville, GA | 9.5 |
7 | 7 | Albany, GA | 9.5 |
8 | 8 | Pocatello, ID | 9.1 |
9 | 9 | Great Falls, MT | 8.8 |
10 | 10 | Naples-Marco Island, FL | 8.8 |
11 | 11 | Punta Gorda, FL | 8.7 |
12 | 12 | Anniston-Oxford, AL | 8.6 |
13 | 13 | Lakeland-Winter Haven, FL | 8.4 |
14 | 14 | Greenville, NC | 8.4 |
15 | 15 | Kingston, NY | 8.1 |
16 | 16 | Sebastian-Vero Beach-West Vero Corridor, FL | 8.0 |
17 | 17 | Niles, MI | 7.9 |
18 | 18 | Columbia, MO | 7.9 |
19 | 19 | Farmington, NM | 7.7 |
20 | 20 | Dalton, GA | 7.6 |
Small and Medium Size Metros | 3.5 | ||
U.S. | 3.3 |
Source: U.S. Census Bureau, 2023 American Community Estimates, Table S2401 – Occupation by sex for the civilian employed population 16 years and over. 2019 numbers from Florida, R. et al. (2022) Heartland of Talent: How Heartland Metropolitans are Changing the Map of Talent in the U.S., Heartland Forward.
Figure 3: Creative Class Employment and Change Across Metropolitan Areas
Conclusion
Our research suggests that heartland metros are improving their ability to compete for talent. While coastal superstar cities and leading tech hubs continue to rank among the nation’s talent leaders, heartland metros like Austin, Minneapolis-St. Paul, Nashville and Chicago also number among the top 20 large metros for college grads, while Austin, the Twin Cities, Nashville, Columbus, OH, Kansas City and St. Louis rank among the top 20 metros for the creative class. Small and medium size heartland metros and especially heartland college towns boast even larger concentrations of college graduates. Ann Arbor, Lawrence, Ames and Iowa City, Bloomington, IL, Madison and Columbia, MO all rank among the national leaders in their concentrations of college grads, while Ann Arbor, Lawrence, Madison, Huntsville and Columbia, MO rank among the leaders in their concentrations of the creative class.
Heartland metros perform even better on the growth in talent. Austin ranks first among large metros in its growth in college grads from 2019-2023, with Indianapolis, Grand Rapids, Milwaukee, Nashville and Dallas all numbering among the top 20 large metros. Grand Rapids tops the list of large metros in growth of the creative class over this period, with Nashville in second and San Antonino in fourth place. Indianapolis, Kansas City, Austin and Dallas all rank among the top 20 large metros on that measure. Small and medium-sized heartland metros also do well on talent growth, with Florence, AL; Bloomington, IN; Hattiesburg, MS; and Lexington-Fayette, KY numbering among the top 20 small and medium-sized metros for growth of college grads. And small and medium sized heartland metros do even better on the growth of the creative class, taking four of the five top spots on this measure. Florence-Muscle Shoals ranks first and Tuscaloosa, AL second, Lima, OH is fourth and Lawrence is fifth. Anniston-Oxford, AL; Niles, MI and Columbia, MO all rank among the top 20 small and medium-sized metros for growth in the creative class.
Two decades ago, New York, Boston, Washington, D.C., San Francisco and Los Angeles offered arrays of attractions that could not be found in other places, whether they were 5-star restaurants or ethnic street food, cafes and nightlife, or world-class art galleries and museums. But over the past two decades, similar kinds of amenities have cropped up in cities across the country.
Part of this is a simple function of housing affordability. Many heartland metros offer lower housing costs and more affordable quality of life than coastal superstars and tech hubs. This not only makes it easier for local entrepreneurs to open restaurants, cafes, music venues or art galleries, it also encourages others to relocate from more expensive places.
But it is also due to the efforts heartland communities have undertaken to build up their local amenities. Bentonville, AR, the home of Walmart, has invested heavily in arts and culture amenities like the Crystal Bridges Museum of American Art, the Momentary and a network of world-class bike paths and trails.22 Tulsa, OK recently opened the Gathering Place, an internationally-recognized park, the Woodie Guthrie and Bob Dylan museums and archives and spearheaded a signature program for remote workers, Tulsa Remote, which has attracted thousands of high-skill workers.23 There are stories like this across the heartland and across the country.
That said, the geography of talent remains concentrated: Talent clustering is a fundamental driver of innovation and economic growth and large metros and long-standing tech hubs continue to dominate. However, a number of large and small metros in the heartland, especially leading college towns, have shown that they can compete effectively for talent. That said, many other metros in the heartland and across the nation face significant challenges when it comes to attracting talent. The places that are doing the best have significant assets—research universities, signature natural amenities, well-endowed foundations, or anchor institutions like teaching hospitals and corporate headquarters that provide good jobs and invest in quality of life—to build on. Things are far more challenging for metros without them.
Educational Attainment Data, Sorted Alphabetically by Growth and Share Dimensions
GEOGRAPHIC AREA NAME | NUMBER OF ADULTS WITH A BACHELOR’S DEGREE OR HIGHER, 2019 | SHARE OF ADULTS WITH BACHELOR’S DEGREE OR HIGHER, 2019 | CHANGE IN PERCENTAGE POINT SHARE, 2019-2023 |
---|---|---|---|
Low Share & High Change | |||
Abilene, TX Metro Area | 31,171 | 27.0% | 2.9 |
Albany, OR Metro Area | 21,850 | 23.4% | 4.6 |
Alexandria, LA Metro Area | 21,211 | 21.1% | 3.6 |
Anniston-Oxford, AL Metro Area | 18,557 | 23.7% | 4.4 |
Binghamton, NY Metro Area | 49,665 | 30.0% | 3.5 |
Brownsville-Harlingen, TX Metro Area | 59,270 | 22.7% | 5.6 |
Brunswick-St. Simons, GA Metro Area | 24,941 | 29.9% | 6.4 |
Burlington, NC Metro Area | 35,388 | 29.3% | 4.0 |
Canton-Massillon, OH Metro Area | 72,428 | 25.7% | 4.4 |
Casper, WY Metro Area | 16,138 | 29.2% | 8.5 |
Chambersburg, PA Metro Area | 28,665 | 25.5% | 3.5 |
Charleston, WV Metro Area | 40,814 | 27.7% | 5.1 |
Clarksville, TN-KY Metro Area | 64,160 | 30.3% | 4.0 |
Columbus, GA-AL Metro Area | 58,430 | 26.6% | 3.5 |
Dalton, GA Metro Area | 19,089 | 19.8% | 4.8 |
Davenport-Moline-Rock Island, IA-IL Metro Area | 80,602 | 30.6% | 3.6 |
Deltona-Daytona Beach-Ormond Beach, FL Metro Area | 162,691 | 30.0% | 5.5 |
Farmington, NM Metro Area | 16,482 | 20.4% | 6.0 |
Fayetteville, NC Metro Area | 69,053 | 28.0% | 4.2 |
Florence-Muscle Shoals, AL Metro Area | 31,404 | 29.4% | 9.1 |
Gainesville, GA Metro Area | 43,837 | 30.0% | 4.6 |
Glens Falls, NY Metro Area | 29,467 | 30.8% | 4.1 |
Goldsboro, NC Metro Area | 17,741 | 22.4% | 4.3 |
Grants Pass, OR Metro Area | 13,714 | 20.8% | 4.0 |
Great Falls, MT Metro Area | 17,748 | 30.2% | 4.7 |
Gulfport-Biloxi, MS Metro Area | 78,677 | 26.7% | 4.0 |
Houma-Bayou Cane-Thibodaux, LA Metro Area | 27,687 | 20.7% | 4.4 |
Janesville-Beloit, WI Metro Area | 30,650 | 26.6% | 3.4 |
Johnstown, PA Metro Area | 22,543 | 24.0% | 3.3 |
Kahului-Wailuku, HI Metro Area | 37,209 | 31.2% | 3.5 |
Killeen-Temple, TX Metro Area | 85,967 | 27.0% | 3.2 |
Kokomo, IN Metro Area | 13,756 | 23.9% | 5.8 |
Lakeland-Winter Haven, FL Metro Area | 150,575 | 26.5% | 5.8 |
Las Vegas-Henderson-North Las Vegas, NV Metro Area | 470,159 | 28.7% | 3.1 |
Lawton, OK Metro Area | 21,257 | 25.7% | 5.1 |
Lebanon, PA Metro Area | 25,800 | 25.3% | 4.4 |
Longview-Kelso, WA Metro Area | 15,337 | 19.4% | 4.1 |
Michigan City-La Porte, IN Metro Area | 18,826 | 23.4% | 5.4 |
Mobile, AL Metro Area | 76,295 | 27.1% | 4.3 |
Modesto, CA Metro Area | 74,086 | 21.0% | 3.6 |
Monroe, LA Metro Area | 40,265 | 26.9% | 3.8 |
Mount Vernon-Anacortes, WA Metro Area | 28,904 | 30.3% | 3.3 |
Muncie, IN Metro Area | 19,212 | 27.2% | 4.6 |
Parkersburg-Vienna, WV Metro Area | 15,147 | 23.9% | 3.9 |
Port St. Lucie, FL Metro Area | 120,998 | 30.0% | 3.7 |
Punta Gorda, FL Metro Area | 47,540 | 27.7% | 5.6 |
Rome, GA Metro Area | 20,300 | 30.0% | 7.2 |
Salinas, CA Metro Area | 80,498 | 28.9% | 3.2 |
Sebring, FL Metro Area | 18,854 | 22.7% | 6.0 |
Sherman-Denison, TX Metro Area | 25,487 | 25.7% | 3.9 |
Shreveport-Bossier City, LA Metro Area | 68,163 | 26.0% | 3.3 |
St. Cloud, MN Metro Area | 37,595 | 29.5% | 2.9 |
Stockton-Lodi, CA Metro Area | 122,672 | 23.6% | 3.6 |
Valdosta, GA Metro Area | 25,996 | 27.2% | 3.8 |
Visalia, CA Metro Area | 49,031 | 16.9% | 3.3 |
Watertown-Fort Drum, NY Metro Area | 19,249 | 26.0% | 3.6 |
Wausau, WI Metro Area | 27,304 | 27.9% | 4.4 |
Wenatchee-East Wenatchee, WA Metro Area | 24,351 | 28.2% | 3.4 |
Wheeling, WV-OH Metro Area | 25,484 | 25.8% | 4.5 |
Wichita Falls, TX Metro Area | 25,156 | 25.5% | 3.1 |
Yuma, AZ Metro Area | 24,427 | 17.4% | 3.3 |
High Share & High Change | |||
Akron, OH Metro Area | 179,636 | 36.6% | 4.8 |
Allentown-Bethlehem-Easton, PA-NJ Metro Area | 205,085 | 33.3% | 3.6 |
Ames, IA Metro Area | 35,237 | 48.3% | 3.7 |
Anchorage, AK Metro Area | 97,590 | 36.2% | 3.1 |
Ann Arbor, MI Metro Area | 142,452 | 60.2% | 4.4 |
Asheville, NC Metro Area | 139,481 | 44.7% | 9.2 |
Athens-Clarke County, GA Metro Area | 63,772 | 46.7% | 4.3 |
Atlantic City-Hammonton, NJ Metro Area | 94,603 | 35.5% | 7.3 |
Austin-Round Rock-San Marcos, TX Metro Area | 892,384 | 52.1% | 6.0 |
Bellingham, WA Metro Area | 64,045 | 40.0% | 4.3 |
Bend, OR Metro Area | 81,170 | 42.1% | 3.3 |
Bismarck, ND Metro Area | 35,928 | 38.5% | 5.0 |
Bloomington, IL Metro Area | 52,609 | 49.6% | 3.8 |
Bloomington, IN Metro Area | 47,298 | 47.7% | 6.7 |
Boise City, ID Metro Area | 209,948 | 37.4% | 4.0 |
Boston-Cambridge-Newton, MA-NH Metro Area | 1,825,723 | 52.2% | 2.8 |
Bremerton-Silverdale-Port Orchard, WA Metro Area | 77,937 | 38.9% | 4.1 |
Bridgeport-Stamford-Danbury, CT Metro Area | 343,422 | 51.9% | 2.8 |
Buffalo-Cheektowaga, NY Metro Area | 294,400 | 35.7% | 2.9 |
Burlington-South Burlington, VT Metro Area | 77,065 | 48.5% | 3.9 |
Cape Coral-Fort Myers, FL Metro Area | 202,035 | 31.9% | 2.9 |
Charleston-North Charleston, SC Metro Area | 250,764 | 42.2% | 4.7 |
Charlotte-Concord-Gastonia, NC-SC Metro Area | 794,722 | 41.3% | 5.1 |
Charlottesville, VA Metro Area | 87,366 | 55.5% | 6.3 |
Cheyenne, WY Metro Area | 23,293 | 33.4% | 3.3 |
Chicago-Naperville-Elgin, IL-IN Metro Area | 2,709,482 | 42.1% | 2.8 |
Cincinnati, OH-KY-IN Metro Area | 593,322 | 38.4% | 3.0 |
Cleveland, OH Metro Area | 535,449 | 34.7% | 3.0 |
Coeur d’Alene, ID Metro Area | 42,245 | 32.1% | 7.5 |
Colorado Springs, CO Metro Area | 229,439 | 44.2% | 4.9 |
Columbia, MO Metro Area | 65,684 | 49.0% | 5.0 |
Crestview-Fort Walton Beach-Destin, FL Metro Area | 75,579 | 35.5% | 4.4 |
Dallas-Fort Worth-Arlington, TX Metro Area | 2,137,149 | 40.0% | 3.7 |
Dayton-Kettering-Beavercreek, OH Metro Area | 189,401 | 33.8% | 3.6 |
Denver-Aurora-Centennial, CO Metro Area | 1,069,731 | 49.9% | 4.2 |
Duluth, MN-WI Metro Area | 63,128 | 31.9% | 3.5 |
Durham-Chapel Hill, NC Metro Area | 230,463 | 54.7% | 8.4 |
Fayetteville-Springdale-Rogers, AR Metro Area | 138,579 | 36.6% | 3.6 |
Fort Collins-Loveland, CO Metro Area | 133,369 | 52.9% | 3.9 |
Fort Wayne, IN Metro Area | 94,048 | 31.3% | 3.2 |
Gainesville, FL Metro Area | 95,856 | 43.3% | 4.5 |
Grand Rapids-Wyoming-Kentwood, MI Metro Area | 294,242 | 37.7% | 4.2 |
Greeley, CO Metro Area | 79,658 | 33.7% | 3.8 |
Greenville, NC Metro Area | 37,835 | 34.9% | 2.8 |
Greenville-Anderson-Greer, SC Metro Area | 234,808 | 35.1% | 3.7 |
Harrisburg-Carlisle, PA Metro Area | 156,337 | 37.1% | 3.8 |
Hartford-West Hartford-East Hartford, CT Metro Area | 345,825 | 42.5% | 2.8 |
Hattiesburg, MS Metro Area | 34,134 | 33.7% | 8.1 |
Hilton Head Island-Bluffton-Port Royal, SC Metro Area | 80,201 | 47.0% | 9.0 |
Huntsville, AL Metro Area | 162,542 | 44.6% | 4.5 |
Indianapolis-Carmel-Greenwood, IN Metro Area | 571,446 | 39.7% | 4.5 |
Ithaca, NY Metro Area | 36,856 | 60.6% | 3.8 |
Jacksonville, FL Metro Area | 449,412 | 37.4% | 4.9 |
Jefferson City, MO Metro Area | 33,446 | 32.3% | 3.4 |
Kalamazoo-Portage, MI Metro Area | 71,134 | 42.6% | 4.4 |
Kansas City, MO-KS Metro Area | 620,386 | 40.8% | 3.1 |
Kingston, NY Metro Area | 53,023 | 39.1% | 6.3 |
Knoxville, TN Metro Area | 222,359 | 33.6% | 3.7 |
Lancaster, PA Metro Area | 120,304 | 31.6% | 3.3 |
Lansing-East Lansing, MI Metro Area | 116,416 | 37.9% | 3.8 |
Las Cruces, NM Metro Area | 45,350 | 31.8% | 4.6 |
Lawrence, KS Metro Area | 39,095 | 53.2% | 6.2 |
Lexington-Fayette, KY Metro Area | 154,763 | 44.5% | 6.2 |
Little Rock-North Little Rock-Conway, AR Metro Area | 171,495 | 33.2% | 2.9 |
Logan, UT-ID Metro Area | 35,105 | 41.6% | 8.3 |
Los Angeles-Long Beach-Anaheim, CA Metro Area | 3,487,205 | 38.5% | 3.0 |
Manchester-Nashua, NH Metro Area | 132,455 | 42.8% | 5.0 |
Miami-Fort Lauderdale-West Palm Beach, FL Metro Area | 1,686,028 | 37.6% | 4.5 |
Midland, TX Metro Area | 38,710 | 33.7% | 4.4 |
Milwaukee-Waukesha, WI Metro Area | 435,839 | 40.5% | 4.1 |
Minneapolis-St. Paul-Bloomington, MN-WI Metro Area | 1,178,142 | 46.2% | 3.0 |
Napa, CA Metro Area | 38,266 | 39.5% | 3.4 |
Naples-Marco Island, FL Metro Area | 125,959 | 40.1% | 4.3 |
Nashville-Davidson–Murfreesboro–Franklin, TN Metro Area | 608,422 | 42.4% | 3.9 |
New Haven, CT Metro Area | 169,242 | 42.4% | 7.3 |
New York-Newark-Jersey City, NY-NJ Metro Area | 6,167,831 | 44.6% | 2.8 |
Niles, MI Metro Area | 34,093 | 31.6% | 4.5 |
North Port-Bradenton-Sarasota, FL Metro Area | 284,291 | 39.7% | 6.0 |
Norwich-New London-Willimantic, CT Metro Area | 75,012 | 37.9% | 4.6 |
Ogden, UT Metro Area | 144,577 | 35.3% | 3.4 |
Oklahoma City, OK Metro Area | 337,831 | 34.8% | 3.3 |
Olympia-Lacey-Tumwater, WA Metro Area | 88,671 | 41.0% | 6.6 |
Orlando-Kissimmee-Sanford, FL Metro Area | 751,148 | 38.1% | 4.8 |
Oshkosh-Neenah, WI Metro Area | 41,612 | 35.3% | 4.2 |
Oxnard-Thousand Oaks-Ventura, CA Metro Area | 219,944 | 37.9% | 3.1 |
Pensacola-Ferry Pass-Brent, FL Metro Area | 118,448 | 32.2% | 7.2 |
Peoria, IL Metro Area | 82,606 | 33.2% | 4.4 |
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Metro Area | 1,849,231 | 42.3% | 3.2 |
Phoenix-Mesa-Chandler, AZ Metro Area | 1,238,689 | 35.5% | 3.3 |
Pittsburgh, PA Metro Area | 688,352 | 38.8% | 2.8 |
Pittsfield, MA Metro Area | 36,511 | 38.0% | 4.1 |
Pocatello, ID Metro Area | 20,203 | 34.5% | 6.2 |
Portland-South Portland, ME Metro Area | 203,639 | 48.0% | 5.6 |
Portland-Vancouver-Hillsboro, OR-WA Metro Area | 794,284 | 43.8% | 3.5 |
Prescott Valley-Prescott, AZ Metro Area | 62,441 | 32.0% | 3.5 |
Providence-Warwick, RI-MA Metro Area | 436,704 | 36.4% | 3.2 |
Provo-Orem-Lehi, UT Metro Area | 173,910 | 45.4% | 4.8 |
Raleigh-Cary, NC Metro Area | 545,321 | 52.7% | 4.8 |
Rapid City, SD Metro Area | 37,373 | 34.3% | 3.4 |
Richmond, VA Metro Area | 395,968 | 41.9% | 4.4 |
Sacramento-Roseville-Folsom, CA Metro Area | 636,963 | 38.1% | 4.0 |
Salt Lake City-Murray, UT Metro Area | 323,398 | 39.3% | 2.8 |
San Antonio-New Braunfels, TX Metro Area | 595,718 | 33.1% | 4.3 |
San Diego-Chula Vista-Carlsbad, CA Metro Area | 991,750 | 43.5% | 3.6 |
San Jose-Sunnyvale-Santa Clara, CA Metro Area | 769,031 | 55.8% | 3.1 |
San Luis Obispo-Paso Robles, CA Metro Area | 80,345 | 42.1% | 5.0 |
Santa Fe, NM Metro Area | 55,409 | 45.9% | 5.7 |
Savannah, GA Metro Area | 107,540 | 37.2% | 4.7 |
Seattle-Tacoma-Bellevue, WA Metro Area | 1,404,951 | 48.6% | 4.5 |
Sioux Falls, SD-MN Metro Area | 77,645 | 38.5% | 3.9 |
South Bend-Mishawaka, IN-MI Metro Area | 67,556 | 31.4% | 3.0 |
Springfield, IL Metro Area | 53,696 | 37.0% | 3.3 |
St. George, UT Metro Area | 45,126 | 33.7% | 6.4 |
St. Louis, MO-IL Metro Area | 769,226 | 39.1% | 3.4 |
State College, PA Metro Area | 45,972 | 47.6% | 3.8 |
Syracuse, NY Metro Area | 163,822 | 36.4% | 3.9 |
Tampa-St. Petersburg-Clearwater, FL Metro Area | 855,043 | 35.0% | 3.4 |
Tucson, AZ Metro Area | 270,309 | 36.8% | 4.1 |
Urban Honolulu, HI Metro Area | 278,119 | 39.6% | 3.8 |
Virginia Beach-Chesapeake-Norfolk, VA-NC Metro Area | 441,237 | 36.1% | 3.2 |
Warner Robins, GA Metro Area | 42,190 | 31.3% | 3.1 |
Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Area | 2,383,616 | 54.8% | 3.4 |
Winchester, VA-WV Metro Area | 32,651 | 31.6% | 4.9 |
Winston-Salem, NC Metro Area | 159,651 | 33.1% | 6.0 |
Worcester, MA Metro Area | 252,970 | 41.4% | 6.1 |
Low Share & Low Change | |||
Albany, GA Metro Area | 20,529 | 20.9% | 1.2 |
Altoona, PA Metro Area | 19,358 | 22.3% | -0.8 |
Amarillo, TX Metro Area | 47,346 | 26.5% | 1.3 |
Augusta-Richmond County, GA-SC Metro Area | 128,039 | 29.9% | 2.5 |
Bakersfield-Delano, CA Metro Area | 101,832 | 18.0% | 1.0 |
Bangor, ME Metro Area | 34,336 | 30.6% | 1.1 |
Baton Rouge, LA Metro Area | 166,464 | 29.0% | 1.5 |
Battle Creek, MI Metro Area | 20,311 | 22.1% | 1.9 |
Bay City, MI Metro Area | 17,383 | 23.1% | 1.5 |
Beaumont-Port Arthur, TX Metro Area | 48,753 | 18.5% | -1.8 |
Beckley, WV Metro Area | 15,915 | 20.2% | 2.4 |
Billings, MT Metro Area | 41,423 | 30.9% | -0.9 |
Bowling Green, KY Metro Area | 34,102 | 27.6% | -2.4 |
Cape Girardeau, MO-IL Metro Area | 19,338 | 30.4% | 0.0 |
Carson City, NV Metro Area | 9,478 | 21.9% | 0.6 |
Chico, CA Metro Area | 40,040 | 29.9% | -0.6 |
Cleveland, TN Metro Area | 20,990 | 23.0% | 1.8 |
Corpus Christi, TX Metro Area | 74,336 | 24.5% | 2.2 |
Decatur, AL Metro Area | 24,931 | 22.7% | 1.7 |
Decatur, IL Metro Area | 16,345 | 23.5% | 2.0 |
Dothan, AL Metro Area | 22,181 | 20.7% | 0.7 |
Dover, DE Metro Area | 35,006 | 27.2% | 2.7 |
Eau Claire, WI Metro Area | 36,233 | 30.7% | 0.8 |
El Centro, CA Metro Area | 18,229 | 16.6% | -1.8 |
El Paso, TX Metro Area | 143,770 | 25.9% | 2.6 |
Elizabethtown, KY Metro Area | 19,629 | 22.5% | 1.0 |
Elkhart-Goshen, IN Metro Area | 26,911 | 20.5% | 0.6 |
Elmira, NY Metro Area | 16,021 | 27.5% | 2.3 |
Enid, OK Metro Area | 8,881 | 22.5% | 0.2 |
Erie, PA Metro Area | 54,155 | 29.3% | -0.2 |
Evansville, IN Metro Area | 54,570 | 29.0% | 2.3 |
Flint, MI Metro Area | 64,018 | 22.8% | 1.3 |
Florence, SC Metro Area | 30,545 | 22.5% | -0.7 |
Fond du Lac, WI Metro Area | 17,356 | 23.9% | 0.3 |
Fort Smith, AR-OK Metro Area | 33,650 | 21.4% | 0.4 |
Fresno, CA Metro Area | 174,219 | 23.5% | 1.5 |
Gadsden, AL Metro Area | 13,130 | 18.0% | 0.8 |
Gettysburg, PA Metro Area | 18,115 | 23.9% | 2.3 |
Grand Island, NE Metro Area | 10,502 | 20.9% | -0.1 |
Green Bay, WI Metro Area | 68,732 | 30.1% | 2.3 |
Hagerstown-Martinsburg, MD-WV Metro Area | 48,217 | 22.6% | 0.3 |
Hammond, LA Metro Area | 20,624 | 22.8% | -2.0 |
Hanford-Corcoran, CA Metro Area | 10,102 | 10.4% | -7.2 |
Harrisonburg, VA Metro Area | 25,782 | 30.8% | 0.8 |
Hickory-Lenoir-Morganton, NC Metro Area | 56,536 | 21.1% | 1.5 |
Hinesville, GA Metro Area | 9,342 | 18.3% | 0.6 |
Homosassa Springs, FL Metro Area | 29,084 | 21.8% | -0.8 |
Hot Springs, AR Metro Area | 22,012 | 29.9% | 1.4 |
Huntington-Ashland, WV-KY-OH Metro Area | 61,628 | 23.9% | 2.5 |
Jackson, MI Metro Area | 27,545 | 24.2% | 1.3 |
Jackson, TN Metro Area | 25,891 | 20.7% | -1.8 |
Jacksonville, NC Metro Area | 27,902 | 23.6% | -1.0 |
Johnson City, TN Metro Area | 42,477 | 27.9% | 1.4 |
Jonesboro, AR Metro Area | 22,970 | 25.7% | 2.2 |
Joplin, MO-KS Metro Area | 33,465 | 24.4% | 1.6 |
Kankakee, IL Metro Area | 14,919 | 20.9% | 1.4 |
Kennewick-Richland, WA Metro Area | 60,061 | 30.0% | 2.3 |
Kingsport-Bristol, TN-VA Metro Area | 58,136 | 25.2% | 2.2 |
Lafayette, LA Metro Area | 72,060 | 25.9% | 0.8 |
Lake Charles, LA Metro Area | 40,700 | 25.3% | 2.4 |
Lake Havasu City-Kingman, AZ Metro Area | 27,455 | 15.6% | 2.2 |
Laredo, TX Metro Area | 35,660 | 22.9% | 2.7 |
Lewiston, ID-WA Metro Area | 10,613 | 23.3% | -0.9 |
Lewiston-Auburn, ME Metro Area | 18,530 | 23.4% | -1.7 |
Lima, OH Metro Area | 13,612 | 19.9% | 0.5 |
Longview, TX Metro Area | 39,632 | 20.2% | 0.5 |
Lubbock, TX Metro Area | 66,266 | 30.1% | -1.3 |
Macon-Bibb County, GA Metro Area | 39,673 | 25.0% | 0.9 |
Mansfield, OH Metro Area | 16,893 | 18.9% | 0.1 |
McAllen-Edinburg-Mission, TX Metro Area | 108,050 | 20.7% | 1.6 |
Medford, OR Metro Area | 47,562 | 29.8% | 2.2 |
Merced, CA Metro Area | 25,489 | 14.5% | 0.1 |
Monroe, MI Metro Area | 27,642 | 24.9% | 0.4 |
Montgomery, AL Metro Area | 80,633 | 30.8% | -0.3 |
Morristown, TN Metro Area | 19,046 | 21.3% | 2.0 |
Muskegon-Norton Shores, MI Metro Area | 26,785 | 21.7% | 0.8 |
Myrtle Beach-Conway-North Myrtle Beach, SC Metro Area | 87,627 | 29.1% | 2.1 |
Ocala, FL Metro Area | 69,499 | 22.5% | 1.9 |
Odessa, TX Metro Area | 17,010 | 17.2% | 2.1 |
Owensboro, KY Metro Area | 19,147 | 25.0% | 2.2 |
Panama City-Panama City Beach, FL Metro Area | 44,847 | 29.0% | 2.6 |
Pueblo, CO Metro Area | 28,753 | 24.2% | 0.8 |
Racine-Mount Pleasant, WI Metro Area | 36,701 | 26.9% | 0.9 |
Reading, PA Metro Area | 80,004 | 26.9% | 1.5 |
Redding, CA Metro Area | 29,482 | 22.9% | 1.1 |
Riverside-San Bernardino-Ontario, CA Metro Area | 778,652 | 25.2% | 2.1 |
Roanoke, VA Metro Area | 69,681 | 30.8% | 1.8 |
Rockford, IL Metro Area | 54,970 | 24.2% | -0.3 |
Rocky Mount, NC Metro Area | 20,057 | 19.7% | 2.3 |
Saginaw, MI Metro Area | 29,267 | 22.2% | 0.4 |
Salem, OR Metro Area | 83,567 | 28.3% | 1.7 |
Salisbury, MD Metro Area | 22,060 | 25.6% | -3.7 |
San Angelo, TX Metro Area | 20,327 | 25.3% | 1.5 |
Scranton–Wilkes-Barre, PA Metro Area | 106,269 | 26.3% | 1.9 |
Sheboygan, WI Metro Area | 22,545 | 26.8% | -1.0 |
Sierra Vista-Douglas, AZ Metro Area | 22,923 | 25.6% | 0.6 |
Sioux City, IA-NE-SD Metro Area | 19,672 | 21.1% | -1.5 |
Spartanburg, SC Metro Area | 64,883 | 24.9% | -1.4 |
Springfield, MA Metro Area | 92,283 | 28.8% | -5.4 |
Springfield, MO Metro Area | 95,830 | 29.3% | 1.7 |
Springfield, OH Metro Area | 17,560 | 18.7% | 2.5 |
St. Joseph, MO-KS Metro Area | 17,448 | 21.3% | 1.4 |
Staunton-Stuarts Draft, VA Metro Area | 25,405 | 26.9% | 2.7 |
Sumter, SC Metro Area | 13,727 | 19.9% | -0.1 |
Terre Haute, IN Metro Area | 25,806 | 23.0% | 2.6 |
Texarkana, TX-AR Metro Area | 19,874 | 19.8% | 2.3 |
Toledo, OH Metro Area | 123,018 | 30.3% | 2.1 |
Topeka, KS Metro Area | 47,771 | 29.7% | 0.6 |
Tulsa, OK Metro Area | 215,239 | 30.9% | 1.9 |
Tuscaloosa, AL Metro Area | 50,537 | 29.8% | 1.6 |
Twin Falls, ID Metro Area | 14,811 | 19.0% | -0.9 |
Tyler, TX Metro Area | 48,246 | 29.7% | 2.4 |
Utica-Rome, NY Metro Area | 54,747 | 27.1% | 0.1 |
Vallejo, CA Metro Area | 91,764 | 29.1% | 0.2 |
Victoria, TX Metro Area | 12,860 | 19.5% | 1.3 |
Vineland, NJ Metro Area | 18,846 | 18.3% | 2.2 |
Waco, TX Metro Area | 52,746 | 27.3% | 2.6 |
Walla Walla, WA Metro Area | 12,575 | 30.3% | -2.0 |
Waterloo-Cedar Falls, IA Metro Area | 33,321 | 30.6% | 0.6 |
Weirton-Steubenville, WV-OH Metro Area | 16,397 | 19.6% | 2.1 |
Williamsport, PA Metro Area | 21,085 | 26.4% | 2.1 |
Yakima, WA Metro Area | 29,106 | 18.3% | 1.1 |
York-Hanover, PA Metro Area | 95,376 | 29.2% | 2.8 |
Youngstown-Warren, OH Metro Area | 71,556 | 23.4% | 0.5 |
Yuba City, CA Metro Area | 21,273 | 17.9% | -1.7 |
High Share & Low Change | |||
Albany-Schenectady-Troy, NY Metro Area | 262,282 | 41.3% | 1.8 |
Albuquerque, NM Metro Area | 233,652 | 35.7% | 2.5 |
Appleton, WI Metro Area | 54,311 | 31.6% | 1.5 |
Atlanta-Sandy Springs-Roswell, GA Metro Area | 1,815,274 | 42.6% | 2.7 |
Auburn-Opelika, AL Metro Area | 49,517 | 39.7% | -1.7 |
Baltimore-Columbia-Towson, MD Metro Area | 876,208 | 44.4% | 2.5 |
Barnstable Town, MA Metro Area | 92,450 | 49.8% | 2.7 |
Birmingham, AL Metro Area | 271,821 | 33.4% | 1.1 |
Blacksburg-Christiansburg-Radford, VA Metro Area | 40,153 | 35.4% | -0.9 |
Boulder, CO Metro Area | 144,148 | 65.4% | 0.6 |
Cedar Rapids, IA Metro Area | 63,533 | 33.3% | 2.6 |
Champaign-Urbana, IL Metro Area | 64,241 | 45.3% | 0.8 |
Chattanooga, TN-GA Metro Area | 131,446 | 32.0% | 2.5 |
College Station-Bryan, TX Metro Area | 62,173 | 39.7% | 1.7 |
Columbia, SC Metro Area | 205,479 | 35.8% | 1.4 |
Columbus, IN Metro Area | 20,193 | 35.6% | -0.9 |
Columbus, OH Metro Area | 596,325 | 40.3% | 2.3 |
Corvallis, OR Metro Area | 34,481 | 56.4% | -1.5 |
Daphne-Fairhope-Foley, AL Metro Area | 59,243 | 32.0% | -0.2 |
Des Moines-West Des Moines, IA Metro Area | 197,056 | 39.8% | 1.8 |
Detroit-Warren-Dearborn, MI Metro Area | 1,057,748 | 34.5% | 2.1 |
Dubuque, IA Metro Area | 23,202 | 34.0% | 1.4 |
Eugene-Springfield, OR Metro Area | 89,269 | 33.2% | 0.9 |
Fairbanks-College, AK Metro Area | 19,604 | 32.1% | -1.2 |
Fargo, ND-MN Metro Area | 70,655 | 42.9% | 2.5 |
Flagstaff, AZ Metro Area | 35,075 | 39.8% | 0.2 |
Grand Forks, ND-MN Metro Area | 20,482 | 32.0% | -2.2 |
Grand Junction, CO Metro Area | 36,654 | 32.2% | 2.4 |
Greensboro-High Point, NC Metro Area | 171,442 | 32.1% | 2.2 |
Houston-Pasadena-The Woodlands, TX Metro Area | 1,763,563 | 36.0% | 2.7 |
Idaho Falls, ID Metro Area | 33,233 | 32.1% | 1.5 |
Iowa City, IA Metro Area | 55,960 | 50.7% | 1.9 |
Jackson, MS Metro Area | 129,946 | 31.7% | 0.7 |
La Crosse-Onalaska, WI-MN Metro Area | 40,194 | 35.4% | 1.7 |
Lafayette-West Lafayette, IN Metro Area | 49,319 | 37.4% | 2.5 |
Lincoln, NE Metro Area | 90,683 | 42.0% | 2.3 |
Louisville/Jefferson County, KY-IN Metro Area | 307,376 | 32.3% | 1.5 |
Lynchburg, VA Metro Area | 56,708 | 31.5% | 2.2 |
Madison, WI Metro Area | 231,370 | 49.2% | 0.5 |
Manhattan, KS Metro Area | 28,076 | 38.9% | 1.5 |
Mankato, MN Metro Area | 21,833 | 34.3% | -2.8 |
Memphis, TN-MS-AR Metro Area | 280,057 | 31.5% | 2.7 |
Midland, MI Metro Area | 20,393 | 33.7% | -2.6 |
Missoula, MT Metro Area | 41,168 | 46.8% | 2.4 |
Morgantown, WV Metro Area | 35,689 | 38.9% | 1.0 |
New Orleans-Metairie, LA Metro Area | 234,503 | 34.5% | 2.3 |
Omaha, NE-IA Metro Area | 262,084 | 40.1% | 2.4 |
Palm Bay-Melbourne-Titusville, FL Metro Area | 159,646 | 33.0% | 2.6 |
Reno, NV Metro Area | 135,830 | 33.6% | 2.0 |
Rochester, MN Metro Area | 67,866 | 42.8% | 1.6 |
Rochester, NY Metro Area | 287,300 | 38.5% | 1.4 |
San Francisco-Oakland-Fremont, CA Metro Area | 1,783,239 | 53.1% | 1.7 |
Santa Cruz-Watsonville, CA Metro Area | 78,259 | 44.4% | 0.6 |
Santa Maria-Santa Barbara, CA Metro Area | 100,000 | 36.1% | 1.6 |
Santa Rosa-Petaluma, CA Metro Area | 132,782 | 37.4% | 0.0 |
Sebastian-Vero Beach-West Vero Corridor, FL Metro Area | 44,524 | 33.2% | 1.9 |
Spokane-Spokane Valley, WA Metro Area | 132,716 | 31.6% | 1.8 |
Tallahassee, FL Metro Area | 101,078 | 40.5% | 1.8 |
Trenton-Princeton, NJ Metro Area | 117,731 | 45.2% | 0.8 |
Wichita, KS Metro Area | 139,635 | 32.2% | 1.2 |
Wilmington, NC Metro Area | 140,746 | 40.7% | 1.5 |
Amherst Town-Northampton, MA Metro Area | 50,348 | 50.2% | 0.0 |
Bozeman, MT Metro Area | 42,962 | 51.0% | 0.0 |
Eagle Pass, TX Metro Area | 4,166 | 12.1% | 0.0 |
Helena, MT Metro Area | 25,787 | 37.8% | 0.0 |
Kenosha, WI Metro Area | 37,533 | 32.4% | 0.0 |
Kiryas Joel-Poughkeepsie-Newburgh, NY Metro Area | 172,102 | 36.2% | 0.0 |
Lexington Park, MD Metro Area | 51,950 | 36.3% | 0.0 |
Minot, ND Metro Area | 14,732 | 29.5% | 0.0 |
Paducah, KY-IL Metro Area | 15,905 | 22.0% | 0.0 |
Pinehurst-Southern Pines, NC Metro Area | 34,316 | 44.1% | 0.0 |
Sandusky, OH Metro Area | 25,241 | 29.0% | 0.0 |
Slidell-Mandeville-Covington, LA Metro Area | 70,370 | 37.1% | 0.0 |
Traverse City, MI Metro Area | 48,143 | 40.9% | 0.0 |
Waterbury-Shelton, CT Metro Area | 108,342 | 33.0% | 0.0 |
Wildwood-The Villages, FL Metro Area | 50,525 | 37.0% | 0.0 |
Creative Class Data, Sorted Alphabetically by Growth and Share Dimensions
GEOGRAPHIC AREA NAME | NUMBER OF WORKERS CLASSIFIED AS CREATIVE CLASS, 2019 | SHARE OF WORKERS CLASSIFIED AS CREATIVE CLASS, 2019 | CHANGE IN PERCENTAGE POINT SHARE OF CREATIVE CLASS, 2019-2023 |
---|---|---|---|
Low Share & High Change | |||
Albany, GA Metro Area | 21,748 | 36.2% | 9.5 |
Albany, OR Metro Area | 20,489 | 33.4% | 5.5 |
Anniston-Oxford, AL Metro Area | 17,206 | 34.8% | 8.6 |
Bay City, MI Metro Area | 15,289 | 32.9% | 3.6 |
Beckley, WV Metro Area | 14,402 | 33.4% | 4.1 |
Brownsville-Harlingen, TX Metro Area | 51,893 | 28.5% | 3.3 |
Brunswick-St. Simons, GA Metro Area | 17,318 | 35.4% | 7.4 |
Burlington, NC Metro Area | 32,443 | 36.1% | 4.1 |
Cape Coral-Fort Myers, FL Metro Area | 131,050 | 36.2% | 4.6 |
Chambersburg, PA Metro Area | 26,140 | 34.5% | 4.6 |
Clarksville, TN-KY Metro Area | 47,610 | 35.6% | 5.6 |
Coeur d’Alene, ID Metro Area | 30,007 | 35.1% | 5.8 |
Columbus, GA-AL Metro Area | 45,387 | 34.7% | 4.6 |
Corpus Christi, TX Metro Area | 68,903 | 32.9% | 3.2 |
Dalton, GA Metro Area | 21,128 | 29.8% | 7.6 |
Decatur, AL Metro Area | 26,248 | 35.0% | 5.9 |
Decatur, IL Metro Area | 15,960 | 35.7% | 4.9 |
Dover, DE Metro Area | 30,926 | 33.6% | 5.3 |
Elkhart-Goshen, IN Metro Area | 28,180 | 28.1% | 3.6 |
Elmira, NY Metro Area | 13,322 | 35.5% | 3.6 |
Enid, OK Metro Area | 9,696 | 33.9% | 7.1 |
Farmington, NM Metro Area | 15,857 | 31.8% | 7.7 |
Fayetteville, NC Metro Area | 51,772 | 34.0% | 3.8 |
Fort Smith, AR-OK Metro Area | 34,572 | 33.7% | 4.9 |
Gainesville, GA Metro Area | 35,978 | 34.4% | 3.9 |
Gettysburg, PA Metro Area | 19,027 | 34.6% | 6.3 |
Grand Island, NE Metro Area | 12,264 | 31.7% | 3.5 |
Green Bay, WI Metro Area | 63,166 | 36.1% | 4.7 |
Hagerstown-Martinsburg, MD-WV Metro Area | 51,527 | 35.3% | 5.6 |
Hinesville, GA Metro Area | 11,771 | 37.0% | 9.5 |
Houma-Bayou Cane-Thibodaux, LA Metro Area | 28,743 | 32.9% | 4.8 |
Idaho Falls, ID Metro Area | 27,831 | 35.5% | 3.6 |
Jackson, MI Metro Area | 24,743 | 35.8% | 4.2 |
Johnstown, PA Metro Area | 21,248 | 36.0% | 5.7 |
Joplin, MO-KS Metro Area | 31,489 | 32.4% | 4.0 |
Kahului-Wailuku, HI Metro Area | 25,359 | 31.1% | 3.6 |
Kankakee, IL Metro Area | 15,227 | 30.0% | 5.0 |
Kokomo, IN Metro Area | 10,605 | 28.1% | 5.7 |
Lake Charles, LA Metro Area | 39,443 | 36.3% | 5.7 |
Lake Havasu City-Kingman, AZ Metro Area | 21,849 | 28.4% | 5.0 |
Lakeland-Winter Haven, FL Metro Area | 134,895 | 35.9% | 8.4 |
Las Cruces, NM Metro Area | 37,051 | 37.2% | 4.9 |
Las Vegas-Henderson-North Las Vegas, NV Metro Area | 376,661 | 33.0% | 4.0 |
Lima, OH Metro Area | 16,140 | 33.7% | 9.8 |
Macon-Bibb County, GA Metro Area | 33,670 | 33.6% | 3.4 |
Mansfield, OH Metro Area | 17,401 | 32.5% | 5.4 |
Merced, CA Metro Area | 30,910 | 25.6% | 4.0 |
Michigan City-La Porte, IN Metro Area | 15,186 | 31.1% | 5.3 |
Modesto, CA Metro Area | 72,484 | 29.1% | 3.8 |
Monroe, LA Metro Area | 34,148 | 36.5% | 5.5 |
Morristown, TN Metro Area | 17,944 | 30.9% | 6.4 |
Myrtle Beach-Conway-North Myrtle Beach, SC Metro Area | 61,361 | 35.4% | 4.9 |
Reading, PA Metro Area | 72,874 | 34.2% | 3.6 |
Rome, GA Metro Area | 15,727 | 34.0% | 6.8 |
Salem, OR Metro Area | 75,628 | 36.5% | 5.1 |
Sebring, FL Metro Area | 11,196 | 30.4% | 3.3 |
Sherman-Denison, TX Metro Area | 23,353 | 34.6% | 6.3 |
Springfield, OH Metro Area | 18,219 | 31.0% | 4.2 |
St. George, UT Metro Area | 33,159 | 36.3% | 4.5 |
Terre Haute, IN Metro Area | 23,139 | 31.6% | 6.2 |
Texarkana, TX-AR Metro Area | 20,863 | 34.4% | 7.2 |
Toledo, OH Metro Area | 108,433 | 37.2% | 4.3 |
Twin Falls, ID Metro Area | 18,768 | 32.0% | 3.5 |
Valdosta, GA Metro Area | 20,212 | 31.2% | 7.1 |
Vallejo, CA Metro Area | 75,544 | 35.9% | 4.2 |
Victoria, TX Metro Area | 14,549 | 33.0% | 4.8 |
Wausau, WI Metro Area | 25,807 | 36.1% | 3.8 |
Wenatchee-East Wenatchee, WA Metro Area | 19,465 | 33.7% | 5.8 |
Wheeling, WV-OH Metro Area | 20,556 | 32.9% | 4.9 |
Wichita Falls, TX Metro Area | 24,250 | 35.5% | 3.2 |
Williamsport, PA Metro Area | 19,852 | 36.8% | 7.4 |
Yuma, AZ Metro Area | 21,241 | 28.4% | 3.8 |
High Share & High Change | |||
Akron, OH Metro Area | 144,003 | 40.1% | 5.1 |
Albuquerque, NM Metro Area | 190,830 | 43.2% | 3.6 |
Anchorage, AK Metro Area | 82,482 | 42.1% | 5.0 |
Asheville, NC Metro Area | 85,068 | 43.2% | 7.4 |
Atlantic City-Hammonton, NJ Metro Area | 69,276 | 38.6% | 6.6 |
Austin-Round Rock-San Marcos, TX Metro Area | 719,984 | 52.1% | 4.7 |
Barnstable Town, MA Metro Area | 54,369 | 47.9% | 10.0 |
Bend, OR Metro Area | 58,378 | 44.4% | 6.1 |
Binghamton, NY Metro Area | 42,832 | 39.1% | 3.4 |
Bismarck, ND Metro Area | 29,673 | 41.6% | 3.5 |
Bloomington, IL Metro Area | 41,591 | 46.6% | 3.8 |
Bloomington, IN Metro Area | 37,843 | 47.2% | 6.8 |
Boise City, ID Metro Area | 171,982 | 41.3% | 4.2 |
Boulder, CO Metro Area | 103,688 | 58.1% | 3.7 |
Burlington-South Burlington, VT Metro Area | 64,052 | 49.0% | 3.8 |
Cedar Rapids, IA Metro Area | 57,763 | 40.7% | 5.6 |
Charleston, WV Metro Area | 33,228 | 38.6% | 4.3 |
Charlotte-Concord-Gastonia, NC-SC Metro Area | 646,379 | 43.9% | 4.6 |
Charlottesville, VA Metro Area | 60,772 | 54.4% | 6.2 |
Chattanooga, TN-GA Metro Area | 110,378 | 39.0% | 4.5 |
Chicago-Naperville-Elgin, IL-IN Metro Area | 2,101,054 | 43.8% | 3.4 |
College Station-Bryan, TX Metro Area | 57,476 | 42.0% | 5.7 |
Colorado Springs, CO Metro Area | 175,109 | 47.0% | 3.9 |
Columbia, MO Metro Area | 54,072 | 47.6% | 7.9 |
Corvallis, OR Metro Area | 25,221 | 51.1% | 3.3 |
Dallas-Fort Worth-Arlington, TX Metro Area | 1,830,028 | 43.2% | 4.2 |
Davenport-Moline-Rock Island, IA-IL Metro Area | 71,840 | 38.1% | 5.6 |
Dayton-Kettering-Beavercreek, OH Metro Area | 161,453 | 41.2% | 4.4 |
Deltona-Daytona Beach-Ormond Beach, FL Metro Area | 120,880 | 37.8% | 7.0 |
Denver-Aurora-Centennial, CO Metro Area | 851,285 | 49.9% | 4.8 |
Durham-Chapel Hill, NC Metro Area | 179,080 | 55.2% | 6.3 |
Fargo, ND-MN Metro Area | 66,527 | 44.8% | 4.4 |
Fayetteville-Springdale-Rogers, AR Metro Area | 127,552 | 42.5% | 5.3 |
Florence-Muscle Shoals, AL Metro Area | 27,386 | 39.4% | 11.2 |
Gainesville, FL Metro Area | 83,126 | 49.8% | 6.9 |
Grand Forks, ND-MN Metro Area | 21,708 | 38.5% | 4.8 |
Grand Rapids-Wyoming-Kentwood, MI Metro Area | 241,295 | 39.8% | 6.1 |
Great Falls, MT Metro Area | 15,592 | 39.9% | 8.8 |
Greenville, NC Metro Area | 36,835 | 44.8% | 8.4 |
Harrisburg-Carlisle, PA Metro Area | 133,421 | 43.3% | 4.6 |
Hilton Head Island-Bluffton-Port Royal, SC Metro Area | 37,481 | 39.0% | 4.4 |
Huntsville, AL Metro Area | 133,487 | 50.2% | 6.9 |
Indianapolis-Carmel-Greenwood, IN Metro Area | 497,140 | 44.6% | 5.3 |
Ithaca, NY Metro Area | 29,382 | 56.4% | 4.3 |
Jacksonville, FL Metro Area | 344,228 | 41.8% | 4.3 |
Jefferson City, MO Metro Area | 29,859 | 41.8% | 4.9 |
Kalamazoo-Portage, MI Metro Area | 56,600 | 41.2% | 4.1 |
Kansas City, MO-KS Metro Area | 528,825 | 45.4% | 4.9 |
Kingston, NY Metro Area | 37,972 | 43.1% | 8.1 |
Knoxville, TN Metro Area | 179,283 | 38.9% | 3.5 |
La Crosse-Onalaska, WI-MN Metro Area | 35,791 | 39.8% | 5.4 |
Lafayette-West Lafayette, IN Metro Area | 49,599 | 42.3% | 5.9 |
Lansing-East Lansing, MI Metro Area | 101,446 | 42.3% | 4.6 |
Lawrence, KS Metro Area | 33,072 | 51.1% | 9.6 |
Lexington-Fayette, KY Metro Area | 118,561 | 44.0% | 3.3 |
Little Rock-North Little Rock-Conway, AR Metro Area | 143,212 | 39.8% | 4.5 |
Manchester-Nashua, NH Metro Area | 116,765 | 47.4% | 5.6 |
Mankato, MN Metro Area | 21,103 | 38.2% | 5.3 |
Medford, OR Metro Area | 39,375 | 39.5% | 7.4 |
Miami-Fort Lauderdale-West Palm Beach, FL Metro Area | 1,213,973 | 38.6% | 4.3 |
Milwaukee-Waukesha, WI Metro Area | 352,628 | 43.8% | 3.6 |
Minneapolis-St. Paul-Bloomington, MN-WI Metro Area | 965,141 | 47.4% | 3.3 |
Monroe, MI Metro Area | 27,910 | 37.4% | 6.0 |
Naples-Marco Island, FL Metro Area | 64,730 | 37.4% | 8.8 |
Nashville-Davidson–Murfreesboro–Franklin, TN Metro Area | 524,034 | 46.0% | 6.0 |
New Haven, CT Metro Area | 139,354 | 46.9% | 6.4 |
New Orleans-Metairie, LA Metro Area | 187,298 | 41.3% | 4.0 |
Niles, MI Metro Area | 28,381 | 40.4% | 7.9 |
North Port-Bradenton-Sarasota, FL Metro Area | 155,894 | 39.6% | 5.0 |
Ogden, UT Metro Area | 142,358 | 42.0% | 4.2 |
Olympia-Lacey-Tumwater, WA Metro Area | 62,243 | 44.3% | 6.0 |
Omaha, NE-IA Metro Area | 232,172 | 44.5% | 3.4 |
Orlando-Kissimmee-Sanford, FL Metro Area | 582,244 | 40.5% | 4.1 |
Oshkosh-Neenah, WI Metro Area | 34,526 | 37.8% | 7.0 |
Oxnard-Thousand Oaks-Ventura, CA Metro Area | 166,262 | 40.8% | 4.9 |
Palm Bay-Melbourne-Titusville, FL Metro Area | 125,173 | 42.7% | 4.3 |
Peoria, IL Metro Area | 74,334 | 43.2% | 5.6 |
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Metro Area | 1,483,484 | 46.5% | 3.3 |
Phoenix-Mesa-Chandler, AZ Metro Area | 1,048,666 | 41.6% | 4.2 |
Pittsfield, MA Metro Area | 27,921 | 43.9% | 5.0 |
Pocatello, ID Metro Area | 17,661 | 41.7% | 9.1 |
Portland-South Portland, ME Metro Area | 148,668 | 47.5% | 5.1 |
Portland-Vancouver-Hillsboro, OR-WA Metro Area | 625,990 | 46.9% | 4.8 |
Prescott Valley-Prescott, AZ Metro Area | 37,743 | 38.1% | 5.0 |
Providence-Warwick, RI-MA Metro Area | 356,919 | 41.6% | 3.4 |
Provo-Orem-Lehi, UT Metro Area | 170,169 | 46.3% | 3.9 |
Punta Gorda, FL Metro Area | 28,875 | 37.5% | 8.7 |
Raleigh-Cary, NC Metro Area | 435,646 | 54.1% | 6.0 |
Rapid City, SD Metro Area | 29,342 | 37.8% | 3.2 |
Reno, NV Metro Area | 109,841 | 38.3% | 6.0 |
Richmond, VA Metro Area | 315,764 | 45.5% | 5.3 |
Roanoke, VA Metro Area | 59,961 | 40.7% | 5.0 |
Sacramento-Roseville-Folsom, CA Metro Area | 508,575 | 43.8% | 4.4 |
Salt Lake City-Murray, UT Metro Area | 304,418 | 44.0% | 4.1 |
San Antonio-New Braunfels, TX Metro Area | 510,084 | 39.4% | 5.3 |
San Diego-Chula Vista-Carlsbad, CA Metro Area | 754,752 | 46.6% | 4.4 |
San Francisco-Oakland-Fremont, CA Metro Area | 1,308,646 | 54.3% | 3.4 |
Savannah, GA Metro Area | 78,011 | 37.6% | 3.5 |
Seattle-Tacoma-Bellevue, WA Metro Area | 1,107,264 | 51.2% | 4.8 |
Sebastian-Vero Beach-West Vero Corridor, FL Metro Area | 26,900 | 39.4% | 8.0 |
Sioux Falls, SD-MN Metro Area | 71,158 | 41.7% | 3.4 |
South Bend-Mishawaka, IN-MI Metro Area | 58,710 | 37.7% | 3.6 |
Springfield, MO Metro Area | 90,983 | 37.6% | 5.0 |
St. Louis, MO-IL Metro Area | 646,494 | 44.8% | 3.7 |
Syracuse, NY Metro Area | 140,156 | 43.8% | 6.8 |
Tucson, AZ Metro Area | 202,796 | 41.2% | 4.7 |
Tuscaloosa, AL Metro Area | 53,209 | 42.9% | 10.2 |
Tyler, TX Metro Area | 41,579 | 37.4% | 6.2 |
Walla Walla, WA Metro Area | 10,478 | 37.9% | 6.0 |
Warner Robins, GA Metro Area | 38,404 | 41.7% | 6.1 |
Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Area | 1,915,095 | 56.3% | 3.8 |
Winchester, VA-WV Metro Area | 29,203 | 40.4% | 5.6 |
Worcester, MA Metro Area | 197,393 | 43.7% | 3.9 |
Low Share & Low Change | |||
Abilene, TX Metro Area | 27,085 | 34.2% | 1.4 |
Alexandria, LA Metro Area | 18,302 | 30.0% | 0.8 |
Altoona, PA Metro Area | 18,098 | 32.3% | -0.2 |
Amarillo, TX Metro Area | 39,971 | 29.3% | -0.5 |
Appleton, WI Metro Area | 49,112 | 37.2% | 2.7 |
Augusta-Richmond County, GA-SC Metro Area | 100,063 | 35.9% | 1.6 |
Bakersfield-Delano, CA Metro Area | 103,317 | 27.2% | -0.1 |
Battle Creek, MI Metro Area | 17,751 | 29.1% | 1.2 |
Beaumont-Port Arthur, TX Metro Area | 52,483 | 30.7% | 1.3 |
Billings, MT Metro Area | 33,711 | 34.5% | -0.6 |
Bowling Green, KY Metro Area | 32,845 | 34.3% | -0.3 |
Canton-Massillon, OH Metro Area | 64,071 | 33.3% | 1.2 |
Cape Girardeau, MO-IL Metro Area | 18,485 | 36.5% | 1.9 |
Casper, WY Metro Area | 13,763 | 34.6% | 1.0 |
Chico, CA Metro Area | 34,837 | 36.9% | 2.8 |
Cleveland, TN Metro Area | 18,080 | 30.3% | 2.2 |
Daphne-Fairhope-Foley, AL Metro Area | 40,615 | 35.1% | -1.1 |
Dothan, AL Metro Area | 20,745 | 30.5% | 0.4 |
Dubuque, IA Metro Area | 18,773 | 36.1% | -1.5 |
Duluth, MN-WI Metro Area | 50,826 | 35.3% | 2.5 |
El Centro, CA Metro Area | 15,302 | 23.6% | -0.4 |
El Paso, TX Metro Area | 123,973 | 31.8% | 1.3 |
Elizabethtown, KY Metro Area | 20,464 | 34.2% | 0.9 |
Erie, PA Metro Area | 42,704 | 34.6% | 0.9 |
Eugene-Springfield, OR Metro Area | 66,878 | 36.6% | 3.2 |
Evansville, IN Metro Area | 46,049 | 34.8% | 2.1 |
Flint, MI Metro Area | 60,515 | 33.6% | 2.8 |
Florence, SC Metro Area | 29,502 | 34.4% | 1.7 |
Fond du Lac, WI Metro Area | 15,439 | 28.7% | 1.2 |
Fort Wayne, IN Metro Area | 83,884 | 36.8% | 2.6 |
Fresno, CA Metro Area | 158,612 | 31.6% | 2.2 |
Gadsden, AL Metro Area | 12,937 | 31.4% | 2.5 |
Glens Falls, NY Metro Area | 21,097 | 34.6% | 1.4 |
Goldsboro, NC Metro Area | 12,993 | 26.4% | -0.3 |
Grand Junction, CO Metro Area | 27,707 | 37.2% | 1.9 |
Grants Pass, OR Metro Area | 11,245 | 34.2% | 2.2 |
Greensboro-High Point, NC Metro Area | 138,232 | 35.9% | 2.7 |
Gulfport-Biloxi, MS Metro Area | 66,361 | 35.3% | 2.7 |
Hammond, LA Metro Area | 21,105 | 34.4% | -1.2 |
Hanford-Corcoran, CA Metro Area | 12,175 | 22.7% | -2.9 |
Harrisonburg, VA Metro Area | 22,985 | 34.1% | 1.9 |
Hattiesburg, MS Metro Area | 26,158 | 35.4% | 1.8 |
Hickory-Lenoir-Morganton, NC Metro Area | 57,042 | 31.7% | 2.2 |
Homosassa Springs, FL Metro Area | 17,763 | 32.1% | 0.8 |
Hot Springs, AR Metro Area | 12,829 | 30.6% | -5.1 |
Huntington-Ashland, WV-KY-OH Metro Area | 54,965 | 34.4% | -0.1 |
Jackson, MS Metro Area | 104,762 | 37.2% | 1.4 |
Jackson, TN Metro Area | 26,578 | 32.6% | 1.3 |
Jacksonville, NC Metro Area | 25,506 | 34.0% | 1.5 |
Janesville-Beloit, WI Metro Area | 26,624 | 31.8% | 1.3 |
Johnson City, TN Metro Area | 35,318 | 36.8% | 1.4 |
Jonesboro, AR Metro Area | 21,780 | 34.6% | 2.9 |
Killeen-Temple, TX Metro Area | 72,105 | 35.3% | 1.1 |
Kingsport-Bristol, TN-VA Metro Area | 46,387 | 34.4% | 2.3 |
Lancaster, PA Metro Area | 106,090 | 37.4% | 3.0 |
Laredo, TX Metro Area | 33,964 | 29.1% | 2.4 |
Lawton, OK Metro Area | 16,381 | 35.8% | 0.2 |
Lebanon, PA Metro Area | 22,085 | 30.1% | -1.0 |
Lewiston, ID-WA Metro Area | 10,080 | 34.7% | 2.8 |
Lewiston-Auburn, ME Metro Area | 19,151 | 33.8% | -1.5 |
Longview, TX Metro Area | 43,936 | 32.7% | 1.2 |
Longview-Kelso, WA Metro Area | 13,758 | 28.0% | 2.0 |
Lubbock, TX Metro Area | 67,315 | 37.2% | 2.4 |
McAllen-Edinburg-Mission, TX Metro Area | 98,772 | 26.6% | 0.6 |
Memphis, TN-MS-AR Metro Area | 223,452 | 35.3% | 1.7 |
Mobile, AL Metro Area | 64,864 | 34.8% | 2.5 |
Montgomery, AL Metro Area | 60,903 | 36.1% | 0.8 |
Mount Vernon-Anacortes, WA Metro Area | 21,576 | 35.6% | 1.4 |
Muncie, IN Metro Area | 19,383 | 34.8% | 1.1 |
Muskegon-Norton Shores, MI Metro Area | 22,566 | 28.0% | 1.2 |
Napa, CA Metro Area | 25,741 | 36.7% | 1.9 |
Ocala, FL Metro Area | 51,999 | 31.6% | 1.8 |
Odessa, TX Metro Area | 17,592 | 22.0% | -0.6 |
Owensboro, KY Metro Area | 15,425 | 27.7% | -2.7 |
Panama City-Panama City Beach, FL Metro Area | 37,909 | 36.0% | 1.1 |
Parkersburg-Vienna, WV Metro Area | 11,018 | 28.4% | -1.1 |
Pensacola-Ferry Pass-Brent, FL Metro Area | 88,359 | 37.2% | 1.9 |
Port St. Lucie, FL Metro Area | 80,326 | 34.3% | -0.5 |
Pueblo, CO Metro Area | 24,655 | 32.5% | 1.5 |
Racine-Mount Pleasant, WI Metro Area | 32,656 | 33.4% | 1.8 |
Redding, CA Metro Area | 25,904 | 33.4% | -2.8 |
Riverside-San Bernardino-Ontario, CA Metro Area | 683,144 | 31.6% | 2.2 |
Rockford, IL Metro Area | 48,615 | 30.7% | 0.0 |
Rocky Mount, NC Metro Area | 17,948 | 27.2% | -1.5 |
Saginaw, MI Metro Area | 27,162 | 32.2% | 0.8 |
Salinas, CA Metro Area | 54,628 | 29.2% | -0.9 |
Salisbury, MD Metro Area | 21,618 | 35.5% | 3.2 |
San Angelo, TX Metro Area | 18,418 | 32.9% | 2.6 |
Scranton–Wilkes-Barre, PA Metro Area | 89,653 | 34.1% | 2.7 |
Sheboygan, WI Metro Area | 21,274 | 34.5% | 2.8 |
Shreveport-Bossier City, LA Metro Area | 57,334 | 34.6% | 2.6 |
Sierra Vista-Douglas, AZ Metro Area | 14,171 | 34.2% | -0.2 |
Sioux City, IA-NE-SD Metro Area | 22,124 | 31.2% | 1.4 |
Spartanburg, SC Metro Area | 58,714 | 32.8% | 1.3 |
Spokane-Spokane Valley, WA Metro Area | 105,580 | 37.4% | 0.0 |
Springfield, MA Metro Area | 75,031 | 34.3% | -3.3 |
St. Cloud, MN Metro Area | 37,852 | 35.9% | 2.2 |
St. Joseph, MO-KS Metro Area | 16,868 | 30.7% | 0.8 |
Staunton-Stuarts Draft, VA Metro Area | 20,645 | 34.0% | 3.1 |
Stockton-Lodi, CA Metro Area | 113,646 | 30.8% | 2.8 |
Sumter, SC Metro Area | 12,130 | 30.3% | 2.0 |
Topeka, KS Metro Area | 41,006 | 37.0% | 2.4 |
Utica-Rome, NY Metro Area | 47,017 | 35.8% | 1.1 |
Vineland, NJ Metro Area | 16,035 | 23.7% | -1.0 |
Visalia, CA Metro Area | 54,099 | 27.3% | 2.3 |
Waco, TX Metro Area | 45,607 | 31.9% | 0.1 |
Waterloo-Cedar Falls, IA Metro Area | 30,341 | 35.5% | 3.0 |
Watertown-Fort Drum, NY Metro Area | 15,552 | 33.4% | 2.1 |
Weirton-Steubenville, WV-OH Metro Area | 14,984 | 29.6% | 2.2 |
Wichita, KS Metro Area | 119,139 | 37.2% | 2.0 |
Yakima, WA Metro Area | 29,055 | 25.4% | 0.2 |
York-Hanover, PA Metro Area | 87,185 | 36.2% | 1.3 |
Youngstown-Warren, OH Metro Area | 56,960 | 30.0% | -0.1 |
Yuba City, CA Metro Area | 22,111 | 29.1% | 2.8 |
High Share & Low Change | |||
Albany-Schenectady-Troy, NY Metro Area | 216,641 | 47.4% | 2.6 |
Allentown-Bethlehem-Easton, PA-NJ Metro Area | 166,022 | 38.1% | 3.1 |
Ames, IA Metro Area | 29,866 | 44.4% | 1.0 |
Ann Arbor, MI Metro Area | 107,402 | 56.9% | 2.2 |
Athens-Clarke County, GA Metro Area | 47,945 | 43.3% | 3.1 |
Atlanta-Sandy Springs-Roswell, GA Metro Area | 1,461,985 | 44.7% | 2.4 |
Auburn-Opelika, AL Metro Area | 40,453 | 43.3% | -1.6 |
Baltimore-Columbia-Towson, MD Metro Area | 720,891 | 49.5% | 1.6 |
Bangor, ME Metro Area | 28,149 | 37.5% | 1.9 |
Baton Rouge, LA Metro Area | 158,108 | 39.0% | 3.0 |
Bellingham, WA Metro Area | 46,410 | 39.5% | 2.7 |
Birmingham, AL Metro Area | 231,893 | 41.6% | 2.7 |
Blacksburg-Christiansburg-Radford, VA Metro Area | 35,304 | 42.1% | 1.6 |
Boston-Cambridge-Newton, MA-NH Metro Area | 1,418,316 | 52.2% | 2.7 |
Bremerton-Silverdale-Port Orchard, WA Metro Area | 52,919 | 41.7% | 2.4 |
Bridgeport-Stamford-Danbury, CT Metro Area | 243,339 | 48.6% | 3.0 |
Buffalo-Cheektowaga, NY Metro Area | 237,663 | 41.6% | 3.0 |
Champaign-Urbana, IL Metro Area | 50,662 | 44.9% | -1.9 |
Charleston-North Charleston, SC Metro Area | 184,206 | 42.3% | 2.4 |
Cheyenne, WY Metro Area | 19,218 | 41.0% | 2.9 |
Cincinnati, OH-KY-IN Metro Area | 497,801 | 43.2% | 2.6 |
Cleveland, OH Metro Area | 442,913 | 41.1% | 2.5 |
Columbia, SC Metro Area | 161,393 | 39.4% | 0.2 |
Columbus, IN Metro Area | 18,243 | 42.2% | 2.1 |
Columbus, OH Metro Area | 515,572 | 45.5% | 3.0 |
Crestview-Fort Walton Beach-Destin, FL Metro Area | 50,152 | 37.5% | 3.1 |
Des Moines-West Des Moines, IA Metro Area | 173,980 | 43.6% | 0.6 |
Detroit-Warren-Dearborn, MI Metro Area | 868,470 | 41.2% | 2.3 |
Eau Claire, WI Metro Area | 34,356 | 37.5% | 1.3 |
Fairbanks-College, AK Metro Area | 15,950 | 38.8% | 0.0 |
Flagstaff, AZ Metro Area | 29,960 | 41.9% | -1.6 |
Fort Collins-Loveland, CO Metro Area | 96,620 | 48.6% | 3.0 |
Greeley, CO Metro Area | 74,032 | 39.5% | 3.1 |
Greenville-Anderson-Greer, SC Metro Area | 190,760 | 39.5% | 2.3 |
Hartford-West Hartford-East Hartford, CT Metro Area | 277,860 | 46.0% | 1.9 |
Houston-Pasadena-The Woodlands, TX Metro Area | 1,515,715 | 41.0% | 2.8 |
Iowa City, IA Metro Area | 45,672 | 46.1% | -1.7 |
Kennewick-Richland, WA Metro Area | 53,981 | 38.4% | 2.1 |
Lafayette, LA Metro Area | 73,461 | 37.6% | 2.3 |
Lincoln, NE Metro Area | 77,485 | 42.0% | 1.9 |
Logan, UT-ID Metro Area | 33,735 | 42.2% | 3.2 |
Los Angeles-Long Beach-Anaheim, CA Metro Area | 2,693,391 | 41.5% | 2.8 |
Louisville/Jefferson County, KY-IN Metro Area | 259,201 | 38.7% | 2.1 |
Lynchburg, VA Metro Area | 47,805 | 37.9% | 2.2 |
Madison, WI Metro Area | 204,190 | 52.3% | 2.5 |
Manhattan, KS Metro Area | 23,310 | 40.2% | 1.7 |
Midland, MI Metro Area | 15,128 | 38.2% | -5.9 |
Midland, TX Metro Area | 37,995 | 41.4% | 2.7 |
Missoula, MT Metro Area | 30,523 | 43.0% | 2.1 |
Morgantown, WV Metro Area | 31,009 | 44.2% | -1.9 |
New York-Newark-Jersey City, NY-NJ Metro Area | 4,532,127 | 46.1% | 3.1 |
Norwich-New London-Willimantic, CT Metro Area | 56,860 | 41.5% | 1.4 |
Oklahoma City, OK Metro Area | 287,681 | 40.3% | 2.5 |
Pittsburgh, PA Metro Area | 539,765 | 44.1% | 2.5 |
Rochester, MN Metro Area | 56,482 | 46.7% | 0.7 |
Rochester, NY Metro Area | 226,150 | 43.5% | 2.0 |
San Jose-Sunnyvale-Santa Clara, CA Metro Area | 598,738 | 57.2% | 2.6 |
San Luis Obispo-Paso Robles, CA Metro Area | 53,365 | 39.7% | 2.4 |
Santa Cruz-Watsonville, CA Metro Area | 58,038 | 44.6% | 3.1 |
Santa Fe, NM Metro Area | 33,023 | 44.9% | 2.9 |
Santa Maria-Santa Barbara, CA Metro Area | 77,714 | 38.1% | 2.2 |
Santa Rosa-Petaluma, CA Metro Area | 102,008 | 40.5% | 0.6 |
Springfield, IL Metro Area | 39,907 | 40.8% | -3.4 |
State College, PA Metro Area | 35,314 | 47.6% | 0.6 |
Tallahassee, FL Metro Area | 83,010 | 42.8% | 2.1 |
Tampa-St. Petersburg-Clearwater, FL Metro Area | 672,233 | 41.2% | 2.4 |
Trenton-Princeton, NJ Metro Area | 92,166 | 48.7% | 2.5 |
Tulsa, OK Metro Area | 187,719 | 38.0% | 2.4 |
Urban Honolulu, HI Metro Area | 181,621 | 39.4% | 2.8 |
Virginia Beach-Chesapeake-Norfolk, VA-NC Metro Area | 346,379 | 41.5% | 3.1 |
Wilmington, NC Metro Area | 94,885 | 42.0% | 1.2 |
Winston-Salem, NC Metro Area | 124,923 | 37.6% | 2.9 |
Unclassified Regions | |||
Amherst Town-Northampton, MA Metro Area | 40,815 | 47.7% | – |
Bozeman, MT Metro Area | 32,131 | 42.5% | – |
Carson City, NV Metro Area | Unavailable | Unavailable | – |
Eagle Pass, TX Metro Area | Unavailable | Unavailable | – |
Helena, MT Metro Area | 21,614 | 47.7% | – |
Kenosha, WI Metro Area | 34,031 | 38.0% | – |
Kiryas Joel-Poughkeepsie-Newburgh, NY Metro Area | 140,198 | 41.0% | – |
Lexington Park, MD Metro Area | 52,940 | 48.7% | – |
Minot, ND Metro Area | 11,637 | 33.5% | – |
Paducah, KY-IL Metro Area | 19,542 | 40.3% | – |
Pinehurst-Southern Pines, NC Metro Area | 18,109 | 43.3% | – |
Sandusky, OH Metro Area | 20,359 | 36.8% | – |
Slidell-Mandeville-Covington, LA Metro Area | 56,692 | 43.2% | – |
Traverse City, MI Metro Area | 31,038 | 40.5% | – |
Waterbury-Shelton, CT Metro Area | 90,610 | 38.9% | – |
Wildwood-The Villages, FL Metro Area | Unavailable | Unavailable | – |
ENDNOTES
- Florida, R. (2002). The rise of the creative class. Basic Books. https://www.basicbooks.com/titles/richardflorida/the-rise-of-the-creative-class/9781541617742/.
- Smith, A. (1776). The wealth of nations. Random House.
- Jacobs, J. (1961). The death and life of great American cities. Random House. https://www.penguinrandomhouse.com/books/86058/the-death-and-life-of-great-american-cities-by-jane-jacobs/; Jacobs, J. (1969). The economy of cities. Random House.https://www.penguinrandomhouse.com/books/86059/the-economy-of-cities-by-jane-jacobs/
- Lucas, R. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22(3), 3–42.
- Barro, R. J. (1991). Economic Growth in a Cross Section of Countries. Quarterly Journal of Economics, 106, 407–443. Barro, R. J. (1997). Determinants of Economic Growth: A Cross-country Empirical Study. MIT Press. https://mitpress.mit.edu/books/determinants-economic-growth
- Berry, C., & Glaeser, E. (2005). The divergence of human capital levels across cities. Papers in Regional Science, 84(3), 407–444. Florida, R. (2019b, October 3). Venture capital remains highly concentrated in just a few cities. CityLab. https://http://www.bloomberg.com/news/articles/2017-10-03/the-geographic-concentration-of-venture-capital. Atkinson, R. T., Muro, M., & Whiton, J. (2010). The Case for Growth Centers: How to Spread Tech Innovation Across America. Brookings Institution. https://www.brookings.edu/research/growth-centers-how-to-spread-tech-innovation-across-america/. Andes, S., Trujillo, J. L., & Marchio, N. (2016). Rise of the Rest? The Bay Area Still Dominates Venture Capital. Brookings Institution. https://www.brookings.edu/blog/metropolitan-revolution/2016/01/28/rise-of-the-rest-the-bay-area-still-dominates-venture-capital-2/.
- Florida, R. (2002). The rise of the creative class. Basic Books. https://www.basicbooks.com/titles/richardflorida/the-rise-of-the-creative-class/9781541617742/.
- See Frank, R. H., & Cook, P. J. (2010). The winner- take-all society: Why the few at the top get so much more than the rest of us. Random House. https://www.penguinrandomhouse.ca/books/329317/the-winner-take-all-society-by-robert-frank/9780140259957; Rosen, S. (1981). The economics of superstars. The American Economic Review, 71(5), 845–858; Florida, R. (2017b, April 12). Why America’s richest cities keep getting richer. The Atlantic. https://www.theatlantic.com/business/archive/2017/04/richard-florida-winner-take-all-new-urban-crisis/522630/; Florida, R., Mellander, C., & King, K. M. (2020). Winner-take- all cities. In E. Glaeser, K. Kourtit, & P. Nijkamp (Eds.), Urban Empires: Cities as Global Rulers in the New Urban World. Routledge. https://www.routledge.com/Urban-Empires-Cities-as-Global-Rulers-in-the-New-Urban-World/Glaeser-Kourtit-Nijkamp/p/book/9781138601710.
- See, for example, Frey, W. (2021). Pandemic-driven population declines in large urban areas are slowing or reversing, latest census data shows. Brookings Institution. https://www.brookings.edu/articles/pandemic-driven-population-declines-in-large-urban-areas-are-slowing-or-reversing-latest-census-data-shows/ ; Florida, R. (2023, April 23). The pandemic didn’t upend US geography. CityLab. https://www.bloomberg.com/news/features/2023-04-14/three-years-into-the-pandemic-the-urban-exodus-was-overblown?srnd=premium&sref=0IejgNtz
- Florida, R. (2017a). The new urban crisis. Basic Books. https://www.basicbooks.com/titles/richard-florida/the-new-urban-crisis/9780465079742/.
- See Barrero, J. M., Bloom, N., Buckman, S. & Davis, S. J. (2024).How much work from home is there in the United States? https://wfhresearch.com/wp-content/uploads/2024/02/How-Much-WFH-in-the-US.pdf ; Carlson, E., Glasner, B., and A. Ozimek (2023, Novvmber 16). Full vs. Hybrid: Examining the Consequences of How Americans Work Remotely. Economic Innovation Group. https://eig.org/ full-vs-hybrid-remote-work/
- Florida, R. (2022, September 8). How the ‘Rise of the Rest’ Became the ‘Rise of the Rents. CityLab. https://www.bloomberg.com/news/features/2022-09-08/why-did-housing-costs-explode-during-the-pandemic; Albert, V., Herrera, S. and C. Cutter, (2024, September 16). Amazon Tells Workers to Return to Office Five Days a Week. Wall Street Journal. https://www.wsj.com/business/amazon-tells-workers-to-return-to-office-five-days-a-week-42a32ec8
- Florida, R. et al. (2022) Heartland of Talent: How Heartland Metropolitans are Changing the Map of Talent in the U.S.. Heartland Forward. https://heartlandforward.org/case-study/heartland-of-talent-how-heartland-metropolitans-are-changing-the-map-of-talent-in-the-u-s/.
- U.S. Census Bureau. (2023). American Community Survey 1-Year Estimates, Table S1501 – Educational Attainment. U.S. Department of Commerce. https://data.census.gov/cedsci/table?q=S1501&tid=ACSST1Y2019.S1501.
- U.S. Census Bureau. (2019, 2023). American Community Survey 1-Year Estimates, Table S2401 – Occupation by sex for the civilian employed population 16 years and over. U.S. Department of Commerce. https://data.census.gov/cedsci/table?q=S1501&tid=ACSST1Y2019.S1501 Data is missing for three metros on creative class share, Carson City, NV; Eagle Pass, TX and Wildwood-The Villages, FL as well as geographic mismatch for six metros on Creative Class Growth 2019-2023: Kenosha, WI, Minot, ND, Paducah, KY-IL, Sandusky, OH, Slidell-Mandeville-Covington, LA and Traverse City, MI.
- Stolarick, K., & Currid-Halkett, E. (2013). Creativity and the crisis: The impact of creative workers on regional unemployment. Cities, 33, 5–14.
- DeVol, R. (2018). Perspectives on defining the American heartland. Heartland Forward. https://heartlandforward.org/case-study/perspectives-on-defining-the-american-heartland/.
- Bureau of Economic Analysis. (2022). Gross Domestic Product. U.S. Department of Commerce. https://www.bea.gov/data/gdp/gdp-county-metro-and-other-areas.
- 19 U.S. Census Bureau. (2023). American Community Survey 1-Year Estimates, Table S1501 – Educational Attainment. U.S. Department of Commerce. https://data.census.gov/cedsci/table?q=S1501&tid=ACSST1Y2019.S1501. There is a geographic mismatch for seven metros on growth in the share of adults with a bachelor’s degree and above between 2019-2023: Eagle Pass, TX, Kenosha, WI, Minot, ND, Paducah, KY-IL, Sandusky, OH, Slidell-Mandeville-Covington, LA and Traverse City, MI.
- Florida, R. et al. (2022) Heartland of Talent: How Heartland Metropolitans are Changing the Map of Talent in the U.S.. Heartland Forward. https://heartlandforward.org/case-study/heartland-of-talent-how-heartland-metropolitans-are-changing-the-map-of-talent-in-the-u-s/.
- U.S. Census Bureau. (2019, 2023). American Community Survey 1-Year Estimates, Table S2401 – Occupation by sex for the civilian employed population 16 years and over. U.S. Department of Commerce. https://data.census.gov/cedsci/table?q=S1501&tid=ACSST1Y2019.S1501
- See DeVol, R., Florida, R., Kotkin, J., & Shideler, D. (2020). Northwest Arkansas economic recovery strategy (p. 99). Heartland Forward. https://heartlandforward.org/northwest-arkansas-economic-recovery-strategy; Blasberg, D. (2021, September 11). How Alice Walton is doubling down on her mega-museum in Arkansas. The Wall Street Journal. https://www.wsj.com/articles/alice-walton-interview-crystal-bridges-11631104447.
- See Choudhury, P. (Raj). (2020). Our work from anywhere future: Best practices for all-remote organizations. Harvard Business Review. https://hbr.org/2020/11/our-work-from-anywhere-future; Choudhury, P. (Raj), Salmon, E., & Logan, (2021, September). Tulsa Remote: Moving talent to middle America. Harvard Business School Case. https://www.hbs.edu/faculty/Pages/item.aspx?num=58687; Holder, S. (2020, February 8). The great Tulsa Remote worker experiment. CityLab. https://www.bloomberg.com/news/features/2020-02-28/the-great-tulsa-remote-worker-experiment