I posted a bit of a preview in a previous thread about population density that had the graphic displaying population density in peaks and valleys across the US.
So, I've been working on this for about a month (not every day, just every now and then). Being the nerd that I am, I wanted to find a way to accurately display and identify the spatial distribution of urban agglomerations, and other urban areas, across the US.
What I ended up doing was importing US Census Tracts (2010) into ArcMap. In there, I was able to calculate population density for each tract. I fooled around with it and decided to extract all tracts with a population density of 75 people per square mile or greater. Once that was done, I began the task of identifying the urban areas. I did this by "seeding" each sizable "blob" of tracts and selecting all tracts that were contiguous to the "seed". I clicked a bunch, performing mulitple iterations, until Arc would select no more. Once that occurred, BAM!, I had my urban area. Wam bam, exported the data, and I had my urban area shapefile; from there I could get the population of each area.
Here's the map:
So, I did this for, roughly, 150 areas. I'll give you rankings for all areas with a population of 500,000 or greater (I have many many more, so if you want the population for one I don't list, just ask). Once I had my populations I set about classifying each one. Below are my classifications, which are by no means perfect; in some cases (like, 3 or 4) I had to insert bias because a few areas didn't fit entirely within the parameters of a single classification:
(some of these terms I use more loosely and assign a more broad definition to)
MR -
Megaregion: contains all or part of 3 or more metropolitan areas home to 1 million or more people.
Mplx -
Metroplex: contains all or part of 2 metropolitan areas home to 1 million or more people.
HUR -
Highly Urbanized Region: home to 3 million or more people; has one main core.
CU -
Conurbation: home to 1 million or more people; contains a majority of 2 or more metro areas home to 200,000 people or greater; has 2 or more main cores.
SCU -
Smaller Conurbation: same as "Conurbation" but home to 500,000 to 999,999 people.
LUR -
Larger Urban Region: home to 1 million or more people; contains all or part of a single metropolitan area with at least 1 million residents; has a single main core.
UR -
Urban Region: home to 500,000 to 1 million people; contains all or part of a single, main 250,000 to 999,999 population metro area; contains a single main core.
Here are the rankings. I know it's common for many of us to get into city vs. city mode, but please realize, these numbers do not necessarily represent a metro area, or accurately identify a commuter region. These numbers represent areas with significantly (relative) consistent population density over an area. Census tracts are not perfect, so that influences these results. I've done my best to take into consideration geographical barriers (see Seattle). More isolated cities
will have lower populations due to the fact that there are fewer cities nearby with which to interact and thus create development corridors between them.
1) Northeast MR 53,981,820
2) Eastern Great Lakes MR 19,992,736
3) Southern California MR 19,826,225
4) Piedmont Atlantic MR 16,323,301
5) Lake Michigan MR 15,633,675
6) South Florida MR 14,799,569
7) San Francisco Bay MR 7,025,429
8) Dallas - Ft. Worth Mplx 6,300,257
9) Houston HUR 5,783,767
10) Seattle - Tacoma HUR 4,425,808
11) Phoenix HUR 3,929,274
12) Central Colorado CU 3,812,298
13) San Antonio - Austin Mplx 3,588,278
14) Sacramento HUR 3,405,931
15) Indianapolis - L'ville Mplx 3,320,958
16) Minneapolis - St. Paul HUR 3,199,861
17) Portland CU 2,728,909
18) St. Louis LUR 2,691,321
19) Great Salt Lake CU 2,205,541
20) North Alabama CU 2,143,950
21) Southeast Louisiana CU 2,066,316
22) Rochester - Syracuse CU 1,961,098
23) Las Vegas LUR 1,892,824
24) Kansas City LUR 1,805,283.
25) Central Tennessee CU 1,734,086
26) Hampton Roads CU 1,681,294
27) Jacksonville LUR 1,330,906
28) Central Gulf Coast CU 1,282,930
29) Fresno Visalia CU 1,224,120
30) McAllen - Brownsville CU 1,211,050
31) West Tennessee LUR 1,185,836
32) Oklahoma City LUR 1,142,903
33) Buffalo LUR 1,121,944
34) Richmond LUR 1,080,029
35) Knoxville LUR 1,074,700
36) Tucson UR 920,326
37) El Paso UR 821,258
38) Chattanooga UR 796,822
39) Tulsa UR 788,682
40) Omaha UR 785,736
41) Albuquerque UR 754,454
42) Columbia, SC UR 690,770
43) Carolina Coast SCU 627,508
44) Little Rock UR 627,479
45) Lake Winnebago SCU 625,728
46) Monterey Bay SCU 622,943
47) Charleston, SC UR 605,136
48) Tri Cities, TN SCU 601,778
49) Boise UR 600,305
50) Des Moines UR 565,399
51) Spokane UR 559,407
52) Bakersfield UR 521,025
53) Lexington UR 517,430
54) Reno UR 516,110
Any comments or questions are welcome. If anyone has any input that might improve the classifications, or anything else, feel free to say so!
EDIT: I had to cut out some things in order to whittle down the data; so, sorry, no Hawaii, Alaska, Puerto Rico, etc... I also cut out water majority tracts. The colors of the areas mean nothing, they're just there to help you distinguish between them.