Transcript Dallas-Fort Worth Leads Metro Areas

Dallas-Fort Worth Leads Metro
Areas in Numerical Growth
U.S. Census Bureau
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http://www.census.gov/Press-Release/www/releases/archives/population/011671.html
Population Changes, 2006-2007
• Dallas-Fort Worth had the
largest numeric gain of any
metro area between 2006
and 2007, increasing by
162,250, according to July
1, 2007, estimates of
metro area population size
and growth released today
by the U.S. Census
Bureau.
• Atlanta (151,063), Phoenix
(132,513) and Houston
(120,544) rounded out the
metro areas with a gain of
at least 100,000.
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Percentage Changes, 2006-2007
•
•
•
•
The 50 fastest-growing metro
areas were concentrated in
two regions — 27 in the
South and 20 in the West.
One metro area, Fayetteville,
Ark.-Mo., straddled both the
South and Midwest regions.
Sioux Falls, S.D., and
Springfield, Mo., were the two
metro areas among the 50
fastest-growing located
completely in the Midwest.
None of the 50 was in the
Northeast. That region’s
fastest-growing metro area
was York, Pa., which ranked
107th.
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How
about
us?
Table 3. Population Change in the 100 Largest Metropolitan Statistical Areas as of July 1, 2007
(Number of metropolitan statistical areas=363)
Population estimates
Rank
in
2007
pop.
Change, 2006 to
2007
Metropolitan statistical area
July 1,
2007
July 1,
2006
Number
Percent
11
Detroit-Warren-Livonia, MI
4,467,592
4,494,906
-27,314
-0.6
25
Cleveland-Elyria-Mentor, OH
2,096,471
2,105,319
-8,848
-0.4
22
Pittsburgh, PA
2,355,712
2,363,214
-7,502
-0.3
88
Youngstown-Warren-Boardman, OH-PA
570,704
576,602
-5,898
-1.0
46
Buffalo-Niagara Falls, NY
1,128,183
1,133,349
-5,166
-0.5
36
Providence-New Bedford-Fall River, RI-MA
1,600,856
1,604,342
-3,486
-0.2
59
Dayton, OH
835,537
838,189
-2,652
-0.3
34
Virginia Beach-Norfolk-Newport News, VA-NC
1,658,754
1,660,990
-2,236
-0.1
Miami-Fort Lauderdale-Pompano Beach, FL
5,413,212
5,415,440
-2,228
0.0
7
79
Toledo, OH
650,955
652,640
-1,685
-0.3
80
Syracuse, NY
645,293
646,571
-1,278
-0.2
54
Honolulu, HI
905,601
906,715
-1,114
-0.1
71
Akron, OH
699,356
700,095
-739
-0.1
50
Rochester, NY
1,030,495
1,030,991
-496
0.0
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How does migration work?
• Simple model
• Who moves?
– People – Move to places with higher utility.
– Businesses – Move to places with higher profit.
• When people move in
– Land Rents 
– Wages 
• Why?
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Wages and Rents
Profits constant
Wages
Utility constant
• Why would the
curves be shaped
this way?
• Suppose businesses
start losing money in
W*
Michigan.
W**
• They need lower
wages or lower rents.
R** R*
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Wages and Rents
Profits constant
Wages
Utility constant
• Over time, firms
and individuals
migrate.
• When do they
stop?
– Profits are the same
everywhere.
– Utility is the same
everywhere.
W*
W**
R** R*
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