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Answer:
No. A study of the 100 largest U.S. Urbanized Areas has found
that land-use and other decisions that affect the amount of
land per resident are linked to only about one-half of all
Urban Sprawl.
Graphic
Illustration: View a bar graph that
shows the relationship nationwide between per capita land
use growth and total land growth (sprawl).
Explanation:
The table to the right is of great assistance in determining
whether land use and other consumption decisions are largely
or entirely responsible for the sprawl of any given Urbanized
Area.
A crucial gauge of this is the per capita land consumption
figure provided by U.S. Bureau of the Census data.
If growth
in per capita land consumption caused all or most of the sprawl
in an Urbanized Area, the percentage of the per capita growth
(in the first column of the table) would be nearly as large
or larger than the percentage increase in land covered by the
city and its suburbs (in the second column). In other words,
the percentages in the two columns should be close to each other.
An example would be Bridgeport-Milford, CT, where the increase
in per capita land consumption was 7.9% compared to sprawl of
8.0%.
But as you peruse the table, you will see that a far more common
occurrence is a sprawl percentage that is far higher than the
per capita consumption growth percentage. For example, Chattanooga's
per capita consumption rose by 65.7%, but it sprawled by almost
twice as much -- 120.1%. And the difference in growth rates
was far wider in many cities such as Denver where per capita
consumption rose by 8.1% while its overall land consumption
rose by 56.7% -- seven times as much.
In the 100 largest Urbanized Areas together, per capita land
consumption increased significantly by 22.6%. And overall land
consumption increased by more than twice as much -- by 51.5%.
Clearly, per capita land consumption growth is a major factor
-- but not the overwhelming factor -- in America's urban sprawl.
The Census statistics in the table show that if every bit of
per capita land consumption growth had been prevented during
the two decades, there still would have been a lot of sprawl
-- perhaps around half of it.
Such a revelation does not call into question the wisdom of
anti-sprawl efforts in trying to fight land-use and consumption
decisions that increase per capita land consumption. But it
does suggest that such efforts are too narrow to win any lasting,
sustainable protection of the agricultural land and natural
habitats surrounding cities.
Do consumption and land-use choices cause most of sprawl? Clearly
not, according to the data on this page from the Census Bureau.
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Overall
Rate of Sprawl was more than double the growth of Per
Capita Land Consumption (1970-1990) in the 100 largest
U.S. Urbanized Areas.
|
| |
Urbanized
Area
(alphabetical order) |
%
Per Capita Sprawl
(growth in per capita land consumption)
|
%
Overall Sprawl
(% growth in total land area)
|
|
 |
1.
Akron, OH |
29.9 |
26.3 |
 |
 |
2.
Albany-Schenectady-Troy, NY |
32.5 |
38.7
|
 |
 |
3.
Albuquerque, NM |
18.1 |
97.4
|
 |
 |
4.
Allentown-Bethlehem-Easton, PA |
27.8 |
44.3 |
 |
 |
5.
Atlanta, GA |
42.0 |
161.3 |
 |
 |
6.
Austin, TX |
49.9 |
218.4 |
 |
 |
7.
Bakersfield, CA |
0.0 |
71.9 |
 |
 |
8.
Baltimore, MD |
60.0 |
91.4 |
 |
 |
9.
Baton Rouge, LA |
49.5 |
119.3 |
 |
 |
10.
Birmingham, AL |
59.3 |
77.6 |
 |
 |
11.
Boston, MA |
28.2 |
34.1 |
 |
 |
12.
Bridgeport-Milford, CT |
7.9 |
8.0 |
 |
 |
13.
Buffalo-Niagara Falls, NY |
52.1 |
33.6 |
 |
 |
14.
Charleston, SC |
46.6 |
152.9 |
 |
 |
15.
Charlotte, NC |
40.3 |
128.7 |
 |
 |
16.
Chattanooga, TN-GA |
65.7 |
120.1 |
 |
 |
17.
Chicago, IL - N.W. Indiana |
22.6 |
24.1 |
 |
 |
18.
Cincinnati, OH-KY |
39.8 |
52.7 |
 |
 |
19.
Cleveland, OH |
15.0 |
-1.6 |
 |
 |
20.
Colorado Springs, CO
|
13.8 |
96.2 |
 |
 |
21.
Columbia, SC |
41.8 |
92.5 |
 |
 |
22.
Columbus, OH |
22.9 |
47.1 |
 |
 |
23.
Corpus Christi, TX |
-5.9 |
19.3 |
 |
 |
24.
Dallas-Fort Worth, TX |
-15.1 |
34.8 |
 |
 |
25.
Dayton, OH |
36.4 |
21.9 |
 |
 |
26.
Denver, CO |
8.1 |
56.7 |
 |
 |
27.
Des Moines, IA |
27.5 |
46.4 |
 |
 |
28.
Detroit, MI |
37.9 |
28.4 |
 |
 |
29.
El Paso, TX-NM |
9.1 |
84.6 |
 |
 |
30.
Flint, MI |
72.1 |
69.9 |
 |
 |
31.
Fort Lauderdale-Hollywood-Pompano, FL |
-23.6 |
54.1 |
 |
 |
32.
Fresno, CA |
-2.7 |
67.8 |
 |
 |
33.
Grand Rapids, MI |
23.4 |
52.7 |
 |
 |
34.
Greenville, SC |
32.2 |
108.9 |
 |
 |
35.
Harrisburg, PA |
57.1 |
91.1 |
 |
 |
36.
Hartford-Middletown, CT |
57.4 |
84.9 |
 |
 |
37.
Honolulu, HI |
-15.7 |
20.6 |
 |
 |
38.
Houston, TX |
26.4 |
118.8 |
 |
 |
39.
Indianapolis, IN |
10.3 |
23.0 |
 |
 |
40.
Jackson, MS |
97.4 |
200.4 |
 |
 |
41.
Jacksonville, FL |
3.6 |
44.5 |
 |
 |
42.
Kansas City, MO-KS |
33.4 |
54.5 |
 |
 |
43.
Knoxville, TN |
59.0 |
154.1 |
 |
 |
44.
Lansing-East Lansing, MI |
16.4 |
34.5 |
 |
 |
45.
Las Vegas, NV |
-35.5 |
90.7 |
 |
 |
46.
Little Rock-North Little Rock, AR |
52.4 |
109.0 |
 |
 |
47.
Los Angeles, CA |
-8.4 |
25.1 |
 |
 |
48.
Louisville, KY-IN |
31.5 |
34.3 |
 |
 |
49.
McAllen-Edinburg-Mission, TX |
31.6 |
280.1 |
 |
 |
50.
Memphis, TN |
40.4 |
74.4 |
 |
 |
51.
Miami-Hialeah, FL |
-13.2 |
36.3 |
 |
 |
52.
Milwaukee, WI |
14.6 |
12.2 |
 |
 |
53.
Minneapolis-Saint Paul, MN |
20.8 |
47.4 |
 |
 |
54.
Mobile, AL |
16.5 |
35.9 |
 |
 |
55.
Nashville, TN |
10.1 |
40.8 |
 |
 |
56.
New Haven-Meriden, CT |
35.0 |
74.9 |
 |
 |
57.
New Orleans, LA |
35.7 |
46.8 |
 |
 |
58.
ew York City-N.E. New Jersey |
23.6 |
22.3 |
 |
 |
59.
Norfolk-Virginia Beach-Newport News, VA |
6.2 |
50.1 |
 |
 |
60.
Ogden, UT |
44.8 |
150.7 |
 |
 |
61.
Oklahoma City, OK |
41.0 |
90.7 |
 |
 |
62.
Omaha, NE-IA |
15.3 |
27.6 |
 |
 |
63.
Orlando, FL |
3.2 |
199.6 |
 |
 |
64.
Oxnard-Ventura, CA |
-28.3 |
40.9 |
 |
 |
65.
Pensacola, FL |
53.7 |
133.9 |
 |
 |
66.
Philadelphia, PA |
47.5 |
54.9 |
 |
 |
67.
Phoenix, AZ |
-17.7 |
91.3 |
 |
 |
68.
Pittsburgh, PA |
43.5 |
30.5 |
 |
 |
69.
Portland-Vancouver, OR-WA |
2.4 |
45.4 |
 |
 |
70.
Providence-Pawtucket, RI-MA |
15.0 |
22.4 |
 |
 |
71.
Raleigh, NC |
24.2 |
149.5 |
 |
 |
72.
Richmond, VA |
47.8 |
109.3 |
 |
 |
73.
Riverside-San Bernardino, CA |
-25.9 |
48.6 |
 |
 |
74.
Sacramento, CA |
-21.0 |
36.7 |
 |
 |
75.
Rochester, NY |
46.5 |
51.0 |
 |
 |
76.
Saint Louis, MO-IL |
52.9 |
58.1 |
 |
 |
77.
Salt Lake City, UT |
-16.3 |
37.9 |
 |
 |
78.
San Antonio, TX |
34.4 |
96.5 |
 |
 |
79.
San Diego, CA |
-7.5 |
81.3 |
 |
 |
80.
San Francisco-Oakland, CA |
5.7 |
28.4 |
 |
 |
81.
San Jose, CA |
-12.8 |
22.1 |
 |
 |
82.
Scranton-Wilkes-Barre, PA |
22.4 |
11.3 |
 |
 |
83.
Seattle, WA |
1.0 |
42.3 |
 |
 |
84.
Shreveport, LA |
42.1 |
55.4 |
 |
 |
85.
Spokane, WA |
20.2 |
46.0 |
 |
 |
86.
Springfield, MA-CT |
22.6 |
27.0 |
 |
 |
87.
Stockton, CA |
-3.5 |
57.7 |
 |
 |
88.
Syracuse, NY |
34.3 |
38.9 |
 |
 |
89.
Tacoma, WA |
21.0 |
80.5 |
 |
 |
90.
Tampa-Saint Petersburg- Clearwater, FL |
12.9 |
123.3 |
 |
 |
91.
Toledo, OH-MI |
16.5 |
16.9 |
 |
 |
92.
Trenton, NJ-PA |
34.5 |
46.5 |
 |
 |
93.
Tucson, AZ |
19.6 |
135.4 |
 |
 |
94.
Tulsa, OK |
32.3 |
69.0 |
 |
 |
95.
Washington, DC-MD-VA |
40.9 |
91.0 |
 |
 |
96.
West Palm Beach-Boca Raton, FL |
-18.7 |
124.8 |
 |
 |
97.
Wilmington, DE-NJ-MS-PA |
41.2 |
71.0 |
 |
 |
98.
Wichita, KS |
22.7 |
37.5 |
 |
 |
99.
Worcester, MA-CT |
28.8 |
64.3 |
 |
 |
100.
Youngstown-Warren, OH |
42.3 |
30.1 |
 |
 |
 |
Average Urbanized Area
(mean of values in column) |
23.5 |
69.6 |
 |
 |
 |
Aggregate Average
|
22.6 |
51.5 |
 |
 |
| *
Land Area Data
derived from U.S. Census Bureaus 1970 and 1990 reports
on Urbanized Land Area. |
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