Misc
This Giant Map Shows All the Metropolitan Areas in the U.S.
This Giant Map Shows All the Metropolitan Areas in the U.S.
The United States is the third most populous country in the world, made up of close to 20,000 cities and towns, and 333 million individuals.
Dividing these population clusters into a coherent framework of statistical areas is no small feat, and the U.S. Census Bureau’s latest map shows just how complex of a task it is.
This enormous map—which covers the entire country, including Puerto Rico—includes 392 metropolitan statistical areas and 547 micropolitan statistical areas.
For reference, here are all the current metropolitan statistical areas in the United States, organized by population:
Rank | Metropolitan statistical area | Population (2020) | Change since 2010 |
---|---|---|---|
1 | New York-Newark-Jersey City, NY-NJ-PA MSA | 20,140,470 | 6.58% |
2 | Los Angeles-Long Beach-Anaheim, CA MSA | 13,200,998 | 2.90% |
3 | Chicago-Naperville-Elgin, IL-IN-WI MSA | 9,618,502 | 1.66% |
4 | Dallas-Fort Worth-Arlington, TX MSA | 7,637,387 | 19.96% |
5 | Houston-The Woodlands-Sugar Land, TX MSA | 7,122,240 | 20.30% |
6 | Washington-Arlington-Alexandria, DC-VA-MD-WV MSA | 6,385,162 | 13.02% |
7 | Philadelphia-Camden-Wilmington, PA-NJ-DE-MD MSA | 6,245,051 | 4.69% |
8 | Miami-Fort Lauderdale-West Palm Beach, FL MSA | 6,138,333 | 10.31% |
9 | Atlanta-Sandy Springs-Alpharetta, GA MSA | 6,089,815 | 15.19% |
10 | Boston-Cambridge-Newton, MA-NH MSA | 4,941,632 | 8.55% |
11 | Phoenix-Mesa-Chandler, AZ MSA | 4,845,832 | 15.57% |
12 | San Francisco-Oakland-Berkeley, CA MSA | 4,749,008 | 9.54% |
13 | Riverside-San Bernardino-Ontario, CA MSA | 4,599,839 | 8.88% |
14 | Detroit–Warren–Dearborn, MI MSA | 4,392,041 | 2.23% |
15 | Seattle-Tacoma-Bellevue, WA MSA | 4,018,762 | 16.83% |
16 | Minneapolis-St. Paul-Bloomington, MN-WI MSA | 3,690,261 | 10.26% |
17 | San Diego-Chula Vista-Carlsbad, CA MSA | 3,298,634 | 6.57% |
18 | Tampa-St. Petersburg-Clearwater, FL MSA | 3,175,275 | 14.09% |
19 | Denver-Aurora-Lakewood, CO MSA | 2,963,821 | 16.53% |
20 | Baltimore-Columbia-Towson, MD MSA | 2,844,510 | 4.94% |
21 | St. Louis, MO-IL MSA | 2,820,253 | 1.17% |
22 | Orlando-Kissimmee-Sanford, FL MSA | 2,673,376 | 25.25% |
23 | Charlotte-Concord-Gastonia, NC-SC MSA | 2,660,329 | 18.56% |
24 | San Antonio-New Braunfels, TX MSA | 2,558,143 | 19.40% |
25 | Portland-Vancouver-Hillsboro, OR-WA MSA | 2,512,859 | 12.89% |
26 | Sacramento-Roseville-Folsom, CA MSA | 2,397,382 | 11.55% |
27 | Pittsburgh, PA MSA | 2,370,930 | 0.62% |
28 | Austin-Round Rock-Georgetown, TX MSA | 2,283,371 | 33.04% |
29 | Las Vegas-Henderson-Paradise, NV MSA | 2,265,461 | 16.10% |
30 | Cincinnati, OH-KY-IN MSA | 2,256,884 | 5.58% |
31 | Kansas City, MO-KS MSA | 2,192,035 | 9.09% |
32 | Columbus, OH MSA | 2,138,926 | 12.46% |
33 | Indianapolis-Carmel-Anderson, IN MSA | 2,111,040 | 11.82% |
34 | Cleveland-Elyria, OH MSA | 2,088,251 | 0.53% |
35 | San Juan-Bayamón-Caguas, PR Metropolitan Statistical Area | 2,002,906 | -14.77% |
36 | San Jose-Sunnyvale-Santa Clara, CA MSA | 2,000,468 | 8.90% |
37 | Nashville-Davidson–Murfreesboro–Franklin, TN MSA | 1,989,519 | 20.86% |
38 | Virginia Beach-Norfolk-Newport News, VA-NC MSA | 1,799,674 | 5.00% |
39 | Providence-Warwick, RI-MA MSA | 1,676,579 | 4.73% |
40 | Jacksonville, FL MSA | 1,605,848 | 19.34% |
41 | Milwaukee-Waukesha, WI MSA | 1,574,731 | 1.21% |
42 | Oklahoma City, OK MSA | 1,425,695 | 13.78% |
43 | Raleigh-Cary, NC MSA | 1,413,982 | 25.08% |
44 | Memphis, TN-MS-AR MSA | 1,337,779 | 1.65% |
45 | Richmond, VA MSA | 1,314,434 | 10.78% |
46 | Louisville/Jefferson County, KY-IN MSA | 1,285,439 | 6.88% |
47 | New Orleans-Metairie, LA MSA | 1,271,845 | 6.89% |
48 | Salt Lake City, UT MSA | 1,257,936 | 15.63% |
49 | Hartford-East Hartford-Middletown, CT MSA | 1,213,531 | 0.09% |
50 | Buffalo-Niagara Falls, NY MSA | 1,166,902 | 2.76% |
51 | Birmingham-Hoover, AL MSA | 1,115,289 | 5.11% |
52 | Rochester, NY MSA | 1,090,135 | 0.97% |
53 | Grand Rapids-Kentwood, MI MSA | 1,087,592 | 9.45% |
54 | Tucson, AZ MSA | 1,043,433 | 6.44% |
55 | Urban Honolulu, HI MSA | 1,016,508 | 6.64% |
56 | Tulsa, OK MSA | 1,015,331 | 8.30% |
57 | Fresno, CA MSA | 1,008,654 | 8.40% |
58 | Worcester, MA-CT MSA | 978,529 | 6.71% |
59 | Omaha-Council Bluffs, NE-IA MSA | 967,604 | 11.82% |
60 | Bridgeport-Stamford-Norwalk, CT MSA | 957,419 | 4.43% |
61 | Greenville-Anderson, SC MSA | 928,195 | 12.63% |
62 | Albuquerque, NM MSA | 916,528 | 3.32% |
63 | Bakersfield, CA MSA | 909,235 | 8.29% |
64 | Albany-Schenectady-Troy, NY MSA | 899,262 | 3.28% |
65 | Knoxville, TN MSA | 879,773 | 7.96% |
66 | McAllen-Edinburg-Mission, TX MSA | 870,781 | 12.39% |
67 | Baton Rouge, LA MSA | 870,569 | 5.41% |
68 | El Paso, TX MSA | 868,859 | 8.05% |
69 | New Haven-Milford, CT MSA | 864,835 | 0.27% |
70 | Allentown-Bethlehem-Easton, PA-NJ MSA | 861,889 | 4.96% |
71 | Oxnard-Thousand Oaks-Ventura, CA MSA | 843,843 | 2.49% |
72 | North Port-Sarasota-Bradenton, FL MSA | 833,716 | 18.72% |
73 | Columbia, SC MSA | 829,470 | 8.06% |
74 | Dayton-Kettering, OH MSA | 814,049 | 1.85% |
75 | Charleston-North Charleston, SC MSA | 799,636 | 20.32% |
76 | Stockton, CA MSA | 779,233 | 13.71% |
77 | Greensboro-High Point, NC MSA | 776,566 | 7.29% |
78 | Boise City, ID MSA | 764,718 | 24.03% |
79 | Cape Coral-Fort Myers, FL MSA | 760,822 | 22.96% |
80 | Colorado Springs, CO MSA | 755,105 | 16.96% |
81 | Little Rock-North Little Rock-Conway, AR MSA | 748,031 | 6.90% |
82 | Lakeland-Winter Haven, FL MSA | 725,046 | 20.42% |
83 | Des Moines-West Des Moines, IA MSA | 709,466 | 16.98% |
84 | Akron, OH MSA | 702,219 | -0.14% |
85 | Springfield, MA MSA | 699,162 | 0.90% |
86 | Poughkeepsie-Newburgh-Middletown, NY MSA | 697,221 | 4.02% |
87 | Ogden-Clearfield, UT MSA | 694,863 | 16.36% |
88 | Madison, WI MSA | 680,796 | 12.45% |
89 | Winston-Salem, NC MSA | 675,966 | 5.52% |
90 | Provo-Orem, UT MSA | 671,185 | 27.41% |
91 | Deltona-Daytona Beach-Ormond Beach, FL MSA | 668,921 | 13.32% |
92 | Syracuse, NY MSA | 662,057 | -0.08% |
93 | Durham-Chapel Hill, NC MSA | 649,903 | 15.18% |
94 | Wichita, KS MSA | 647,610 | 3.94% |
95 | Toledo, OH MSA | 646,604 | -0.74% |
96 | Augusta-Richmond County, GA-SC MSA | 611,000 | 8.17% |
97 | Palm Bay-Melbourne-Titusville, FL MSA | 606,612 | 11.64% |
98 | Jackson, MS MSA | 591,978 | 0.97% |
99 | Harrisburg-Carlisle, PA MSA | 591,712 | 7.69% |
100 | Spokane-Spokane Valley, WA MSA | 585,784 | 13.80% |
101 | Scranton–Wilkes-Barre, PA MSA | 567,559 | 0.70% |
102 | Chattanooga, TN-GA MSA | 562,647 | 6.53% |
103 | Lancaster, PA MSA | 552,984 | 6.46% |
104 | Modesto, CA MSA | 552,878 | 7.47% |
105 | Portland-South Portland, ME MSA | 551,740 | 7.32% |
106 | Fayetteville-Springdale-Rogers, AR MSA | 546,725 | 24.22% |
107 | Lansing-East Lansing, MI MSA | 541,297 | 1.24% |
108 | Youngstown-Warren-Boardman, OH-PA MSA | 541,243 | -4.34% |
109 | Fayetteville, NC MSA | 520,378 | 8.17% |
110 | Lexington-Fayette, KY MSA | 516,811 | 9.47% |
111 | Pensacola-Ferry Pass-Brent, FL MSA | 509,905 | 13.57% |
112 | Huntsville, AL MSA | 491,723 | 17.75% |
113 | Reno, NV MSA | 490,596 | 15.32% |
114 | Santa Rosa-Petaluma, CA MSA | 488,863 | 1.03% |
115 | Myrtle Beach-Conway-North Myrtle Beach, SC-NC MSA | 487,722 | 29.46% |
116 | Port St. Lucie, FL MSA | 487,657 | 14.98% |
117 | Lafayette, LA MSA | 478,384 | 2.49% |
118 | Springfield, MO MSA | 475,432 | 8.87% |
119 | Killeen-Temple, TX MSA | 475,367 | 17.29% |
120 | Visalia, CA MSA | 473,117 | 7.00% |
121 | Asheville, NC MSA | 469,015 | 10.39% |
122 | York-Hanover, PA MSA | 456,438 | 4.94% |
123 | Vallejo, CA MSA | 453,491 | 9.71% |
124 | Santa Maria-Santa Barbara, CA MSA | 448,229 | 5.74% |
125 | Salinas, CA MSA | 439,035 | 5.78% |
126 | Salem, OR MSA | 433,353 | 10.91% |
127 | Mobile, AL MSA | 430,197 | -0.09% |
128 | Reading, PA MSA | 428,849 | 4.23% |
129 | Manchester-Nashua, NH MSA | 422,937 | 5.54% |
130 | Corpus Christi, TX MSA | 421,933 | 4.17% |
131 | Brownsville-Harlingen, TX MSA | 421,017 | 3.64% |
132 | Fort Wayne, IN MSA | 419,601 | 7.97% |
133 | Salisbury, MD-DE MSA | 418,046 | 11.84% |
134 | Gulfport-Biloxi, MS MSA | 416,259 | 7.15% |
135 | Flint, MI MSA | 406,211 | -4.60% |
136 | Savannah, GA MSA | 404,798 | 16.45% |
137 | Peoria, IL MSA | 402,391 | -3.33% |
138 | Canton-Massillon, OH MSA | 401,574 | -0.70% |
139 | Anchorage, AK MSA | 398,328 | 4.60% |
140 | Beaumont-Port Arthur, TX MSA | 397,565 | 2.27% |
141 | Shreveport-Bossier City, LA MSA | 393,406 | -1.30% |
142 | Trenton-Princeton, NJ MSA | 387,340 | 5.68% |
143 | Montgomery, AL MSA | 386,047 | 3.07% |
144 | Davenport-Moline-Rock Island, IA-IL MSA | 384,324 | 1.22% |
145 | Tallahassee, FL MSA | 384,298 | 4.60% |
146 | Eugene-Springfield, OR MSA | 382,971 | 8.89% |
147 | Ocala, FL MSA | 375,908 | 13.47% |
148 | Naples-Marco Island, FL MSA | 375,752 | 16.87% |
149 | Ann Arbor, MI MSA | 372,258 | 7.97% |
150 | Hickory-Lenoir-Morganton, NC MSA | 365,276 | -0.06% |
151 | Huntington-Ashland, WV-KY-OH MSA | 359,862 | -2.98% |
152 | Fort Collins, CO MSA | 359,066 | 19.84% |
153 | Lincoln, NE MSA | 340,217 | 12.60% |
154 | Gainesville, FL MSA | 339,247 | 11.20% |
155 | Rockford, IL MSA | 338,798 | -3.04% |
156 | Boulder, CO MSA | 330,758 | 12.29% |
157 | Greeley, CO MSA | 328,981 | 30.12% |
158 | Columbus, GA-AL MSA | 328,883 | 6.85% |
159 | Green Bay, WI MSA | 328,268 | 7.19% |
160 | Spartanburg, SC MSA | 327,997 | 15.37% |
161 | South Bend-Mishawaka, IN-MI MSA | 324,501 | 1.65% |
162 | Lubbock, TX MSA | 321,368 | 10.51% |
163 | Clarksville, TN-KY MSA | 320,535 | 17.01% |
164 | Roanoke, VA MSA | 315,251 | 2.12% |
165 | Evansville, IN-KY MSA | 314,049 | 0.80% |
166 | Kingsport-Bristol, TN-VA MSA | 307,614 | -0.62% |
167 | Kennewick-Richland, WA MSA | 303,622 | 19.85% |
168 | Olympia-Lacey-Tumwater, WA MSA | 294,793 | 16.86% |
169 | Hagerstown-Martinsburg, MD-WV MSA | 293,844 | 9.18% |
170 | Utica-Rome, NY MSA | 292,264 | -2.38% |
171 | Duluth, MN-WI MSA | 291,638 | 0.34% |
172 | Crestview-Fort Walton Beach-Destin, FL MSA | 286,973 | 21.67% |
173 | Longview, TX MSA | 286,184 | 2.21% |
174 | Aguadilla-Isabela, PR Metropolitan Statistical Area | 286,064 | -15.72% |
175 | Wilmington, NC MSA | 285,905 | 12.17% |
176 | San Luis Obispo-Paso Robles, CA MSA | 282,424 | 4.74% |
177 | Merced, CA MSA | 281,202 | 9.93% |
178 | Waco, TX MSA | 277,547 | 9.80% |
179 | Sioux Falls, SD MSA | 276,730 | 21.23% |
180 | Cedar Rapids, IA MSA | 276,520 | 7.20% |
181 | Bremerton-Silverdale-Port Orchard, WA MSA | 275,611 | 9.75% |
182 | Atlantic City-Hammonton, NJ MSA | 274,534 | -0.01% |
183 | Erie, PA MSA | 270,876 | -3.45% |
184 | Santa Cruz-Watsonville, CA MSA | 270,861 | 3.23% |
185 | Amarillo, TX MSA | 268,761 | 6.68% |
186 | Tuscaloosa, AL MSA | 268,674 | 12.32% |
187 | Norwich-New London, CT MSA | 268,555 | -2.01% |
188 | College Station-Bryan, TX MSA | 268,248 | 17.31% |
189 | Laredo, TX MSA | 267,114 | 6.72% |
190 | Kalamazoo-Portage, MI MSA | 261,670 | 4.53% |
191 | Lynchburg, VA MSA | 261,593 | 3.55% |
192 | Charleston, WV MSA | 258,859 | -6.89% |
193 | Yakima, WA MSA | 256,728 | 5.55% |
194 | Fargo, ND-MN MSA | 249,843 | 19.67% |
195 | Binghamton, NY MSA | 247,138 | -1.82% |
196 | Fort Smith, AR-OK MSA | 244,310 | -1.57% |
197 | Appleton, WI MSA | 243,147 | 7.75% |
198 | Prescott Valley-Prescott, AZ MSA | 236,209 | 11.93% |
199 | Macon-Bibb County, GA MSA | 233,802 | 0.65% |
200 | Tyler, TX MSA | 233,479 | 11.33% |
201 | Topeka, KS MSA | 233,152 | -0.31% |
202 | Daphne-Fairhope-Foley, AL MSA | 231,767 | 27.16% |
203 | Barnstable Town, MA MSA | 228,996 | 6.07% |
204 | Bellingham, WA MSA | 226,847 | 12.78% |
205 | Rochester, MN MSA | 226,329 | 9.40% |
206 | Burlington-South Burlington, VT MSA | 225,562 | 6.77% |
207 | Lafayette-West Lafayette, IN MSA | 223,716 | 6.38% |
208 | Medford, OR MSA | 223,259 | 9.87% |
209 | Champaign-Urbana, IL MSA | 222,538 | 2.17% |
210 | Lake Charles, LA MSA | 222,402 | 11.42% |
211 | Charlottesville, VA MSA | 221,524 | 9.91% |
212 | Las Cruces, NM MSA | 219,561 | 4.94% |
213 | Hilton Head Island-Bluffton-Beaufort, SC MSA | 215,908 | 15.45% |
214 | Athens-Clarke County, GA MSA | 215,415 | 11.88% |
215 | Lake Havasu City-Kingman, AZ MSA | 213,267 | 6.53% |
216 | Chico, CA MSA | 211,632 | -3.80% |
217 | Ponce, PR Metropolitan Statistical Area | 211,465 | -19.48% |
218 | Columbia, MO MSA | 210,864 | 10.76% |
219 | Springfield, IL MSA | 208,640 | -0.73% |
220 | Johnson City, TN MSA | 207,285 | 4.31% |
221 | Houma-Thibodaux, LA MSA | 207,137 | -0.50% |
222 | Monroe, LA MSA | 207,104 | 1.31% |
223 | Elkhart-Goshen, IN MSA | 207,047 | 4.80% |
224 | Jacksonville, NC MSA | 204,576 | 15.08% |
225 | Yuma, AZ MSA | 203,881 | 4.15% |
226 | Gainesville, GA MSA | 203,136 | 13.05% |
227 | Florence, SC MSA | 199,964 | -2.73% |
228 | St. Cloud, MN MSA | 199,671 | 5.59% |
229 | Bend, OR MSA | 198,253 | 25.69% |
230 | Racine, WI MSA | 197,727 | 1.19% |
231 | Warner Robins, GA MSA | 191,614 | 14.33% |
232 | Saginaw, MI MSA | 190,124 | -5.02% |
233 | Punta Gorda, FL MSA | 186,847 | 16.80% |
234 | Terre Haute, IN MSA | 185,031 | -2.49% |
235 | Billings, MT MSA | 184,167 | 10.17% |
236 | Redding, CA MSA | 182,155 | 2.78% |
237 | Dover, DE MSA | 181,851 | 12.04% |
238 | Kingston, NY MSA | 181,851 | -0.35% |
239 | Joplin, MO MSA | 181,409 | 3.36% |
240 | Yuba City, CA MSA | 181,208 | 8.58% |
241 | Jackson, TN MSA | 180,504 | 0.45% |
242 | St. George, UT MSA | 180,279 | 30.53% |
243 | El Centro, CA MSA | 179,702 | 2.96% |
244 | Bowling Green, KY MSA | 179,639 | 13.27% |
245 | Abilene, TX MSA | 176,579 | 6.85% |
246 | Muskegon, MI MSA | 175,824 | 2.11% |
247 | Iowa City, IA MSA | 175,419 | 14.96% |
248 | Midland, TX MSA | 175,220 | 23.68% |
249 | Panama City, FL MSA | 175,216 | 3.77% |
250 | Auburn-Opelika, AL MSA | 174,241 | 24.24% |
251 | Arecibo, PR Metropolitan Statistical Area | 173,218 | -13.16% |
252 | Hattiesburg, MS MSA | 172,231 | 6.05% |
253 | Eau Claire, WI MSA | 172,007 | 6.74% |
254 | Oshkosh-Neenah, WI MSA | 171,730 | 2.84% |
255 | Burlington, NC MSA | 171,415 | 13.42% |
256 | Coeur d'Alene, ID MSA | 171,362 | 23.73% |
257 | Bloomington, IL MSA | 170,954 | 0.81% |
258 | Greenville, NC MSA | 170,243 | 1.25% |
259 | Waterloo-Cedar Falls, IA MSA | 168,461 | 0.38% |
260 | East Stroudsburg, PA MSA | 168,327 | -0.89% |
261 | Pueblo, CO MSA | 168,162 | 5.72% |
262 | Wausau-Weston, WI MSA | 166,428 | 2.22% |
263 | Blacksburg-Christiansburg, VA MSA | 166,378 | 2.10% |
264 | Odessa, TX MSA | 165,171 | 20.45% |
265 | Kahului-Wailuku-Lahaina, HI MSA | 164,754 | 6.41% |
266 | Janesville-Beloit, WI MSA | 163,687 | 2.09% |
267 | Bloomington, IN MSA | 161,039 | 0.93% |
268 | Jackson, MI MSA | 160,366 | 0.07% |
269 | Sebastian-Vero Beach, FL MSA | 159,788 | 15.76% |
270 | State College, PA MSA | 158,172 | 2.72% |
271 | Idaho Falls, ID MSA | 157,429 | 18.13% |
272 | Decatur, AL MSA | 156,494 | 1.73% |
273 | Madera, CA MSA | 156,255 | 3.57% |
274 | Chambersburg-Waynesboro, PA MSA | 155,932 | 4.22% |
275 | Grand Junction, CO MSA | 155,703 | 6.12% |
276 | Elizabethtown-Fort Knox, KY MSA | 155,572 | 4.88% |
277 | Santa Fe, NM MSA | 154,823 | 7.39% |
278 | Monroe, MI MSA | 154,809 | 1.83% |
279 | Niles, MI MSA | 154,316 | -1.59% |
280 | Vineland-Bridgeton, NJ MSA | 154,152 | -1.75% |
281 | Homosassa Springs, FL MSA | 153,843 | 8.93% |
282 | Hanford-Corcoran, CA MSA | 152,486 | -0.32% |
283 | Bangor, ME MSA | 152,199 | -1.12% |
284 | Alexandria, LA MSA | 152,192 | -1.12% |
285 | Dothan, AL MSA | 151,007 | 3.69% |
286 | Florence-Muscle Shoals, AL MSA | 150,791 | 2.48% |
287 | Jefferson City, MO MSA | 150,309 | 0.34% |
288 | Sioux City, IA-NE-SD MSA | 149,940 | 4.43% |
289 | Albany, GA MSA | 148,922 | -3.21% |
290 | Wichita Falls, TX MSA | 148,128 | -2.10% |
291 | Valdosta, GA MSA | 148,126 | 6.12% |
292 | Texarkana, TX-AR MSA | 147,519 | -1.13% |
293 | Logan, UT-ID MSA | 147,348 | 17.46% |
294 | Flagstaff, AZ MSA | 145,101 | 7.95% |
295 | Rocky Mount, NC MSA | 143,870 | -5.59% |
296 | Lebanon, PA MSA | 143,257 | 7.25% |
297 | Dalton, GA MSA | 142,837 | 0.43% |
298 | Morristown, TN MSA | 142,709 | 4.47% |
299 | Winchester, VA-WV MSA | 142,632 | 11.02% |
300 | Morgantown, WV MSA | 140,038 | 7.96% |
301 | La Crosse-Onalaska, WI-MN MSA | 139,627 | 4.46% |
302 | Wheeling, WV-OH MSA | 139,513 | -5.70% |
303 | Rapid City, SD MSA | 139,074 | 10.04% |
304 | Napa, CA MSA | 138,019 | 1.12% |
305 | Sumter, SC MSA | 136,700 | -4.02% |
306 | Springfield, OH MSA | 136,001 | -1.69% |
307 | Harrisonburg, VA MSA | 135,571 | 8.26% |
308 | Sherman-Denison, TX MSA | 135,543 | 12.13% |
309 | Battle Creek, MI MSA | 134,310 | -1.35% |
310 | Jonesboro, AR MSA | 134,196 | 10.88% |
311 | Manhattan, KS MSA | 134,046 | 5.48% |
312 | Bismarck, ND MSA | 133,626 | 20.79% |
313 | Johnstown, PA MSA | 133,472 | -7.10% |
314 | Carbondale-Marion, IL MSA | 133,435 | -4.11% |
315 | Hammond, LA MSA | 133,157 | 9.96% |
316 | The Villages, FL MSA | 129,752 | 38.89% |
317 | Mount Vernon-Anacortes, WA MSA | 129,523 | 10.80% |
318 | Pittsfield, MA MSA | 129,026 | -1.67% |
319 | Albany-Lebanon, OR MSA | 128,610 | 10.23% |
320 | Glens Falls, NY MSA | 127,039 | -1.46% |
321 | Lawton, OK MSA | 126,652 | -2.79% |
322 | Cleveland, TN MSA | 126,164 | 8.96% |
323 | Sierra Vista-Douglas, AZ MSA | 125,447 | -4.49% |
324 | Staunton, VA MSA | 125,433 | 5.85% |
325 | Ames, IA MSA | 125,252 | 8.12% |
326 | Mansfield, OH MSA | 124,936 | 0.37% |
327 | San Angelo, TX MSA | 122,888 | 8.78% |
328 | Altoona, PA MSA | 122,822 | -3.36% |
329 | New Bern, NC MSA | 122,168 | -3.65% |
330 | Wenatchee, WA MSA | 122,012 | 10.04% |
331 | Farmington, NM MSA | 121,661 | -6.45% |
332 | Owensboro, KY MSA | 121,559 | 5.93% |
333 | St. Joseph, MO-KS MSA | 121,467 | -4.60% |
334 | San Germán, PR Metropolitan Statistical Area | 120,280 | -12.50% |
335 | Lawrence, KS MSA | 118,785 | 7.18% |
336 | Sheboygan, WI MSA | 118,034 | 2.19% |
337 | Missoula, MT MSA | 117,922 | 7.89% |
338 | Goldsboro, NC MSA | 117,333 | -4.31% |
339 | Weirton-Steubenville, WV-OH MSA | 116,903 | -6.07% |
340 | Watertown-Fort Drum, NY MSA | 116,721 | 0.42% |
341 | Anniston-Oxford, AL MSA | 116,441 | -1.80% |
342 | Beckley, WV MSA | 115,079 | -7.86% |
343 | Twin Falls, ID MSA | 114,283 | 14.74% |
344 | Williamsport, PA MSA | 114,188 | -1.66% |
345 | California-Lexington Park, MD MSA | 113,777 | 8.20% |
346 | Brunswick, GA MSA | 113,495 | 1.00% |
347 | Michigan City-La Porte, IN MSA | 112,417 | 0.85% |
348 | Muncie, IN MSA | 111,903 | -4.90% |
349 | Lewiston-Auburn, ME MSA | 111,139 | 3.19% |
350 | Longview, WA MSA | 110,730 | 8.12% |
351 | Kankakee, IL MSA | 107,502 | -5.24% |
352 | Ithaca, NY MSA | 105,740 | 4.11% |
353 | Grand Forks, ND-MN MSA | 104,362 | 5.99% |
354 | Fond du Lac, WI MSA | 104,154 | 2.48% |
355 | Decatur, IL MSA | 103,998 | -6.11% |
356 | Bay City, MI MSA | 103,856 | -3.63% |
357 | Gettysburg, PA MSA | 103,852 | 2.41% |
358 | Mankato, MN MSA | 103,566 | 7.06% |
359 | Gadsden, AL MSA | 103,436 | -0.95% |
360 | Lima, OH MSA | 102,206 | -3.88% |
361 | Sebring-Avon Park, FL MSA | 101,235 | 2.48% |
362 | Cheyenne, WY MSA | 100,512 | 9.56% |
363 | Hot Springs, AR MSA | 100,180 | 4.33% |
364 | Dubuque, IA MSA | 99,266 | 5.99% |
365 | Rome, GA MSA | 98,584 | 2.35% |
366 | Victoria, TX MSA | 98,331 | 4.60% |
367 | Cape Girardeau, MO-IL MSA | 97,517 | 1.29% |
368 | Fairbanks, AK MSA | 95,655 | -1.97% |
369 | Ocean City, NJ MSA | 95,263 | -2.06% |
370 | Corvallis, OR MSA | 95,184 | 11.22% |
371 | Cumberland, MD-WV MSA | 95,044 | -7.99% |
372 | Pocatello, ID MSA | 94,896 | 4.68% |
373 | Mayagüez, PR Metropolitan Statistical Area | 93,412 | -19.62% |
374 | Parkersburg-Vienna, WV MSA | 89,490 | -3.43% |
375 | Grants Pass, OR MSA | 88,090 | 6.50% |
376 | Pine Bluff, AR MSA | 87,751 | -12.47% |
377 | Great Falls, MT MSA | 84,414 | 3.80% |
378 | Elmira, NY MSA | 84,148 | -5.27% |
379 | Yauco, PR Metropolitan Statistical Area | 84,112 | -21.63% |
380 | Kokomo, IN MSA | 83,658 | 1.09% |
381 | Midland, MI MSA | 83,494 | -0.16% |
382 | Bloomsburg-Berwick, PA MSA | 82,863 | -3.15% |
383 | Columbus, IN MSA | 82,208 | 7.05% |
384 | Hinesville, GA MSA | 81,424 | 4.50% |
385 | Casper, WY MSA | 79,955 | 5.97% |
386 | Grand Island, NE MSA | 77,038 | 5.93% |
387 | Danville, IL MSA | 74,188 | -9.11% |
388 | Guayama, PR Metropolitan Statistical Area | 72,240 | -14.22% |
389 | Lewiston, ID-WA MSA | 64,375 | 5.73% |
390 | Enid, OK MSA | 62,846 | 3.74% |
391 | Walla Walla, WA MSA | 62,584 | 6.47% |
392 | Carson City, NV MSA | 58,639 | 6.09% |
From Metro to Micro
The wide variety of population patterns around the country can make it tricky to divide regions up into uniform units. There are two main divisions to consider when viewing this map:
- Metropolitan Areas (metro areas) have at least one urban core area of at least 50,000 population. These are the largest population centers, sometimes encompassing many counties. In some instances, these metro areas are further subdivided into Metropolitan Divisions.
- Micropolitan Areas are the smallest areas measured on this map (indicated by a lighter shade of green). These smaller regions, which are generally located further away from large cities, have at least one urban core area of at least 10,000 but fewer than 50,000 people.
One thing to note about all of these definitions is that the cities in these regions must have significant ties to a neighboring region—usually in the form of commuting ties. This is what warrants binding adjacent counties into a measurable area.
Another unique layer of data on this map is the shading that indicates the actual urbanized area within metro areas. In the example of Atlanta-Sandy Springs-Alpharetta, it’s easy to see how urban sprawl has expanded the urban area into a number of neighboring counties.
With this context in mind, we’ll take a closer look at three points of interest on the map that show this concept at work with varying degrees of complexity.
Level One: The Central City
The Texas Triangle offers what is perhaps the most straightforward example of metro areas.
As seen above, Houston, Austin, and San Antonio anchor their respective regions, and surrounding counties are bundled into a metro area. The surrounding counties have all been identified as having ties to the central county, and, in some cases, the urban area has spread into the neighboring county over time.
Level Two: The City Cluster
The region anchored by Salt Lake City requires more thought to divide into statistical areas.
While there are a number of population centers in the area, including Salt Lake City, Provo, and Ogden, they all have enough of an economic “magnetic pull” to warrant splitting the region into distinct statistical areas.
Of course, regions are always evolving, and occasionally these areas are updated. Salt Lake City and Ogden were previously combined into a single metro area, but were separated in 2005.
Level Three: The Megaregion
New York City is the ultimate challenge for planners looking to categorize population centers into a neat and tidy statistical box.
For one, the contiguous urban area is massive, stretching from the west side of Long Island out to the east side of New Jersey. In addition to New York City itself, the metro area includes 19 other municipalities with over 100,000 people.
Next, NYC is an unparalleled economic magnet. Measuring commuting activity is a challenge because a wide variety of people visit the city for so many different reasons. The interconnectedness of the Northeast Megaregion also adds to the complexity.
New York-Newark-Jersey City is such a big pie to carve up, that four of the country’s 11 metro divisions (as indicated by the italicized text and dotted lines) occur in this one area.
Blurring the Lines
Population patterns are constantly changing across the country, so the next version of this map may have a number of changes on it. Our “straightforward” Texas Triangle example may become tougher to divide up as the population boom continues in the region.
Here’s how the population of U.S. countries changed over the past decade:
Further complicating matters is the rapid move to remote work and distributed teams. A key element of these census divisions are commuting ties. With work increasingly not bound by geographic limitations, it remains unclear how that trend will impact this type of statistical exercise in the future.
Misc
Visualizing the Odds of Dying from Various Accidents
This infographic shows you the odds of dying from a variety of accidents, including car crashes, bee stings, and more.

Infographic: The Odds of Dying from Various Accidents
Fatal accidents account for a significant number of deaths in the U.S. every year. For example, nearly 43,000 Americans died in traffic accidents in 2021.
Without the right context, however, it can be difficult to properly interpret these figures.
To help you understand your chances, we’ve compiled data from the National Safety Council, and visualized the lifetime odds of dying from various accidents.
Data and Methodology
The lifetime odds presented in this graphic were estimated by dividing the one-year odds of dying by the life expectancy of a person born in 2020 (77 years).
Additionally, these numbers are based on data from the U.S., and likely differ in other countries.
Type of Accident | Lifetime odds of dying (1 in #) |
---|---|
Motor vehicle accident | 101 |
Complications of medical and surgical care | 798 |
Alcohol poisoning | 1,606 |
Accidental building fire | 1,825 |
Choking on food | 2,745 |
Drowning in swimming pool | 5,782 |
Sunstroke | 6,368 |
Accidental firearm discharge | 7,998 |
Drowning | 10,386 |
Airplane accident | 11,756 |
Bee or wasp sting | 57,825 |
Dog attack | 69,016 |
Lightning strike | 138,849 |
For comparison’s sake, the odds of winning the Powerball jackpot are 1 in 292,000,000. In other words, you are 4000x more likely to die by a lightning strike over your lifetime than to win the Powerball lottery.
Continue reading below for further context on some of these accidents.
Motor Vehicle Accidents
Motor vehicle accidents are a leading cause of accidental deaths in the U.S., with a 1 in 101 chance of dying. This is quite a common way of dying, especially when compared to something like bee stings (1 in 57,825).
Unfortunately, a major cause of vehicle deaths is impaired driving. The CDC reports that 32 Americans are killed every day in crashes involving alcohol, which equates to one death every 45 minutes.
For further context, consider this: 30% of all traffic-related deaths in 2020 involved alcohol-impaired drivers.
Drowning
The odds of drowning in a swimming pool (1 in 5,782) are significantly higher than those of drowning in general (1 in 10,386). According to the CDC, there are 4,000 fatal drownings every year, which works out to 11 deaths per day.
Drowning also happens to be a leading cause of death for children. It is the leading cause for kids aged 1-4, and second highest cause for kids aged 5-14.
A rather surprising fact about drowning is that 80% of fatalities are male. This has been attributed to higher rates of alcohol use and risk-taking behaviors.
Accidental Firearm Discharge
Lastly, let’s look at accidental firearm deaths, which have lifetime odds of 1 in 7,998. That’s higher than the odds of drowning (general), as well as dying in an airplane accident.
This shouldn’t come as a major surprise, since the U.S. has the highest rates of gun ownership in the world. More importantly, these odds highlight the importance of properly securing one’s firearms, as well as learning safe handling practices.
As a percentage of total gun-related deaths (45,222 in 2020), accidental shootings represent a tiny 1%. The two leading causes are suicide (54%) and homicide (43%).
Interested in learning more about death? Revisit one of our most popular posts of all time: Visualizing the History of Pandemics.
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