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Census Estimates: Slowing Metropolitan Growth and the Future of the Exurbs

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Recently the Census Bureau released 2011 county and metro area population estimates that showed overall slowing population growth and particularly showing slow to halting growth in exurban counties.

Someone once said to me about Chicago’s Mayor Daley that if he did something you liked, he was a visionary genius leader, but if he did something you hated, he was a corrupt machine dictator.

That seems to be how too many urbanists view the Census Bureau.

I’ll come back to the exurbs in a minute, but first a look at a map of metro area growth last year:



Metro area percent change in population, July 1, 2010 to July 1, 2011. Source: Census Estimates via Telestrian

Here’s the county map:



County percent change in population, July 1, 2010 to July 1, 2011. Source: Census Estimates via Telestrian

Someone once said to me about Chicago’s Mayor Daley that if he did something you liked, he was a visionary genius leader, but if he did something you hated, he was a corrupt machine dictator.

That seems to be how too many urbanists view the Census Bureau.

Back in the 90s when the Census estimates showed cities growing more slowly than boosters believed, they pressured the Census Bureau into adjusting the estimates to provide higher values. As it turned out, in most cases even the original estimates for cities proved inflated. In fact, the 90s were actually better for a lot of major cities than the 2000s were (e.g, New York, Los Angeles, and Chicago). This led to a new narrative that the Census had undercounted cities somehow.

Now this new data shows slowing exurban growth. All of a sudden, the Census Bureau has become once more a source of Gospel Truth, and I’ve seen many articles suggesting that the exurbs are dead, killed by rising gas prices and new Millennial preferences.

Let’s not get ahead of ourselves here.

Yes, exurban growth slowed recently. While cities on the whole fared more poorly than expected in the last census, we did see strong growth in downtowns and adjacent areas. I myself wrote about improving migration trends for core cities. That’s good news worth celebrating for cities. But don’t overstate the case.

I have a different though admittedly speculative take on the exurbs. I think a chunk of the fringe migration was from very low end home builders skipping out beyond established jurisdictions into unincorporated territory with few buildings restrictions. They threw up dirt cheap homes there and often sold them to people with marginal credit and income who had no business buying homes, using a variety of gimmicks to do so. (I know someone who sold homes for one of these builders, so I heard about some of these). Loose credit policies and government guarantees fueled this. The housing crash killed this market. Now that subsidies for this type of growth aren’t available, so that market is probably never coming back.

But when the economy improves and the market normalizes, I’d expect some level of suburbanization to resume. Part of the logic is simple math. If you add up the population of the municipalities of New York City, Los Angeles, Chicago, Philadelphia, San Francisco, Boston, Seattle, Washington, Portland, and Miami you only get 20 million people. That’s only about 20% of what the Census Bureau is projecting for just population growth by 2050. With the difficulties of building in urban areas, there’s no way to accommodate just the new growth even if everybody wanted into the city. In other words, there’s just no way there is going to be some massive back to the city movement. I hate to break it to you, but that’s reality.

Here’s the full list of large metros, sorted by population growth percentage:

Row Metro Area 2010 2011 Total Change Pct Change
1 Austin-Round Rock-San Marcos, TX
1,728,247
1,783,519
55,272
3.20%
2 Raleigh-Cary, NC
1,137,297
1,163,515
26,218
2.31%
3 Dallas-Fort Worth-Arlington, TX
6,400,511
6,526,548
126,037
1.97%
4 San Antonio-New Braunfels, TX
2,153,891
2,194,927
41,036
1.91%
5 Houston-Sugar Land-Baytown, TX
5,976,470
6,086,538
110,068
1.84%
6 Charlotte-Gastonia-Rock Hill, NC-SC
1,763,969
1,795,472
31,503
1.79%
7 Denver-Aurora-Broomfield, CO
2,554,569
2,599,504
44,935
1.76%
8 Washington-Arlington-Alexandria, DC-VA-MD-WV
5,609,150
5,703,948
94,798
1.69%
9 Miami-Fort Lauderdale-Pompano Beach, FL
5,578,080
5,670,125
92,045
1.65%
10 Oklahoma City, OK
1,258,111
1,278,053
19,942
1.59%
11 Salt Lake City, UT
1,128,269
1,145,905
17,636
1.56%
12 Seattle-Tacoma-Bellevue, WA
3,447,886
3,500,026
52,140
1.51%
13 New Orleans-Metairie-Kenner, LA
1,173,572
1,191,089
17,517
1.49%
14 Orlando-Kissimmee-Sanford, FL
2,139,615
2,171,360
31,745
1.48%
15 Riverside-San Bernardino-Ontario, CA
4,245,005
4,304,997
59,992
1.41%
16 Nashville-Davidson–Murfreesboro–Franklin, TN
1,594,885
1,617,142
22,257
1.40%
17 Atlanta-Sandy Springs-Marietta, GA
5,286,296
5,359,205
72,909
1.38%
18 Portland-Vancouver-Hillsboro, OR-WA
2,232,896
2,262,605
29,709
1.33%
19 Tampa-St. Petersburg-Clearwater, FL
2,788,151
2,824,724
36,573
1.31%
20 Phoenix-Mesa-Glendale, AZ
4,209,070
4,263,236
54,166
1.29%
21 San Jose-Sunnyvale-Santa Clara, CA
1,841,787
1,865,450
23,663
1.28%
22 San Diego-Carlsbad-San Marcos, CA
3,105,115
3,140,069
34,954
1.13%
23 San Francisco-Oakland-Fremont, CA
4,343,381
4,391,037
47,656
1.10%
24 Indianapolis-Carmel, IN
1,760,826
1,778,568
17,742
1.01%
25 Sacramento–Arden-Arcade–Roseville, CA
2,154,583
2,176,235
21,652
1.00%
26 Minneapolis-St. Paul-Bloomington, MN-WI
3,285,913
3,318,486
32,573
0.99%
27 Columbus, OH
1,840,584
1,858,464
17,880
0.97%
28 Jacksonville, FL
1,348,702
1,360,251
11,549
0.86%
29 Las Vegas-Paradise, NV
1,953,927
1,969,975
16,048
0.82%
30 Los Angeles-Long Beach-Santa Ana, CA
12,844,371
12,944,801
100,430
0.78%
31 Richmond, VA
1,260,396
1,269,380
8,984
0.71%
32 Louisville/Jefferson County, KY-IN
1,285,891
1,294,849
8,958
0.70%
33 Boston-Cambridge-Quincy, MA-NH
4,559,372
4,591,112
31,740
0.70%
34 Kansas City, MO-KS
2,039,766
2,052,676
12,910
0.63%
35 Memphis, TN-MS-AR
1,318,089
1,325,605
7,516
0.57%
36 Baltimore-Towson, MD
2,714,546
2,729,110
14,564
0.54%
37 New York-Northern New Jersey-Long Island, NY-NJ-PA
18,919,649
19,015,900
96,251
0.51%
38 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
5,971,589
5,992,414
20,825
0.35%
39 Chicago-Joliet-Naperville, IL-IN-WI
9,472,584
9,504,753
32,169
0.34%
40 Milwaukee-Waukesha-West Allis, WI
1,556,953
1,562,216
5,263
0.34%
41 Virginia Beach-Norfolk-Newport News, VA-NC
1,674,502
1,679,894
5,392
0.32%
42 Birmingham-Hoover, AL
1,129,068
1,132,264
3,196
0.28%
43 Cincinnati-Middletown, OH-KY-IN
2,132,415
2,138,038
5,623
0.26%
44 St. Louis, MO-IL
2,814,722
2,817,355
2,633
0.09%
45 Pittsburgh, PA
2,357,951
2,359,746
1,795
0.08%
46 Hartford-West Hartford-East Hartford, CT
1,212,491
1,213,255
764
0.06%
47 Rochester, NY
1,054,723
1,055,278
555
0.05%
48 Providence-New Bedford-Fall River, RI-MA
1,601,065
1,600,224
-841
-0.05%
49 Buffalo-Niagara Falls, NY
1,135,293
1,134,039
-1,254
-0.11%
50 Detroit-Warren-Livonia, MI
4,290,722
4,285,832
-4,890
-0.11%
51 Cleveland-Elyria-Mentor, OH
2,075,540
2,068,283
-7,257
-0.35%



Aaron M. Renn is an independent writer on urban affairs based in the Midwest. His writings appear at The Urbanophile, where this piece originally appeared. Renn is the founder of Telestrian, a data analysis and mapping tool used to create the maps seen here.


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