1 Dallas-Fort Worth Leads Metro Areas in Numerical Growth U.S. Census Bureau
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Dallas-Fort Worth Leads Metro Areas in Numerical Growth
U.S. Census Bureau
http://www.census.gov/Press-Release/www/releases/archives/population/011671.html
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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)
Rank in 2007
pop. Metropolitan statistical area
Population estimates Change, 2006 to 2007
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
7 Miami-Fort Lauderdale-Pompano Beach, FL 5,413,212 5,415,440 -2,228 0.0
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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• Suppose businesses start losing money in Michigan.
• They need lower wages or lower rents.
Wages and Rents
• Why would the curves be shaped this way?
R*
WagesUtility constantProfits constant
W*
W**
R**
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Wages and Rents
• Over time, firms and individuals migrate.
• When do they stop?– Profits are the same
everywhere.– Utility is the same
everywhere. R*
WagesUtility constantProfits constant
W*
W**
R**