2015’s Metro Areas that Most and Least Resemble the U.S.

by Richie Bernardo

WH-Best-Badges-150x150-US-AverageIt’s hard to define what is or isn’t American. Although we can’t patent freedom, we can safely lay claim to buffalo wings, bluegrass and David Letterman. But we can’t have it all. Contrary to popular belief, English isn’t our official language. And the rumor that New York’s Italian immigrants invented pizza? That’s been laid to rest. Heck, even Lady Liberty is formerly a French citizen. Mother America relies on such cultural identifiers to color her personality, and we have rapid diversification to thank for that.

But how do we quantify our nation’s identity? One way to do so is by parsing demographics. Characteristics such as ethnic makeup, household size, educational attainment and household characteristics can encapsulate America’s uniqueness from a statistical vantage point.

You might wonder, then, why this study is relevant to you. And the reasons abound. If you’re a parent, for instance, you may consider relocating your family to a city that exposes your children to more diversity. Others might prefer a location that exceeds national standards of education or income, signs of progress. Entrepreneurs might use the information to find a suitable launching pad for their business ideas. And if you’re a marketer, the data can predict the success of a product’s national rollout by testing it in a popular market.

So in order to identify which metro areas bleed the most red, white and blue in light of Independence Day, WalletHub examined various demographical statistics for 381 of the largest U.S. metropolitan statistical areas, or MSAs. Our data set includes simple metrics such as age, gender and income as well as more complex measures such as household makeup and housing tenure. The results, additional expert commentary and a detailed methodology can be found below.

Main Findings

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Overall Rank

MSA

“Sociodemographic Stats” Rank

“Housing Stats” Rank

“Economic Stats” Rank

“Education Stats” Rank

1 Indianapolis-Carmel-Anderson, IN 10 4 3 8
2 Cincinnati, OH-KY-IN 25 3 1 16
3 Charleston-North Charleston, SC 41 1 9 22
4 Nashville-Davidson--Murfreesboro--Franklin, TN 7 35 17 9
5 Jacksonville, FL 2 30 15 24
6 Charlotte-Concord-Gastonia, NC-SC 28 55 7 4
7 Oklahoma City, OK 3 8 46 30
8 St. Louis, MO-IL 77 133 2 6
9 Greensboro-High Point, NC 74 28 61 1
10 Phoenix-Mesa-Scottsdale, AZ 18 12 14 60
11 Little Rock-North Little Rock-Conway, AR 23 27 84 3
12 Kansas City, MO-KS 8 53 62 13
13 Albuquerque, NM 5 19 25 80
14 Greenville-Anderson-Mauldin, SC 27 178 11 5
15 Columbus, OH 31 21 12 71
16 Tulsa, OK 4 41 79 31
17 Richmond, VA 68 51 39 14
18 Louisville/Jefferson County, KY-IN 38 143 4 50
19 Birmingham-Hoover, AL 87 50 10 40
20 Orlando-Kissimmee-Sanford, FL 11 74 56 37
21 Detroit-Warren-Dearborn, MI 55 187 36 2
22 Columbia, SC 45 46 16 77
23 Huntsville, AL 9 147 40 41
24 Augusta-Richmond County, GA-SC 99 100 29 11
25 Milwaukee-Waukesha-West Allis, WI 72 135 8 38
26 Chicago-Naperville-Elgin, IL-IN-WI 6 144 27 75
27 Tucson, AZ 61 10 75 54
28 Cleveland-Elyria, OH 250 47 6 17
29 Baton Rouge, LA 22 54 28 100
30 New Orleans-Metairie, LA 148 14 109 10
31 Racine, WI 19 5 117 87
32 Savannah, GA 101 43 21 73
33 Winston-Salem, NC 50 49 35 92
34 Wilmington, NC 174 36 22 48
35 Reading, PA 36 57 23 140
36 Worcester, MA-CT 21 243 63 15
37 Lexington-Fayette, KY 82 13 13 171
38 Pensacola-Ferry Pass-Brent, FL 47 66 51 115
39 Akron, OH 224 154 5 33
40 Rochester, NY 180 173 50 7
41 Burlington, NC 100 81 104 43
42 Syracuse, NY 175 140 43 23
43 Montgomery, AL 178 78 78 21
44 Memphis, TN-MS-AR 169 6 105 72
45 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 58 260 42 49
46 Wichita, KS 12 117 72 145
47 Reno, NV 154 111 49 47
48 Chattanooga, TN-GA 119 81 18 150
49 Virginia Beach-Norfolk-Newport News, VA-NC 16 128 101 114
50 Green Bay, WI 144 26 176 45
51 New Haven-Milford, CT 63 295 64 25
52 Gulfport-Biloxi-Pascagoula, MS 15 56 197 134
53 Albany-Schenectady-Troy, NY 238 29 166 19
54 Mobile, AL 183 60 130 36
55 Rockford, IL 13 207 134 79
56 Tampa-St. Petersburg-Clearwater, FL 152 45 20 178
57 Boise City, ID 160 16 26 199
58 Atlanta-Sandy Springs-Roswell, GA 159 25 32 177
59 Elizabethtown-Fort Knox, KY 157 70 74 94
60 Lafayette, LA 35 235 54 117
61 Spartanburg, SC 67 168 132 69
62 Amarillo, TX 69 84 107 136
63 Spokane-Spokane Valley, WA 168 31 110 106
64 Winchester, VA-WV 130 1 216 162
65 Springfield, MO 153 137 162 27
66 Providence-Warwick, RI-MA 142 327 38 18
67 Denver-Aurora-Lakewood, CO 59 252 131 52
68 Lynchburg, VA 191 127 82 55
69 Des Moines-West Des Moines, IA 66 190 240 28
70 Tyler, TX 88 182 69 98
71 Hartford-West Hartford-East Hartford, CT 39 320 119 32
72 San Antonio-New Braunfels, TX 95 169 31 147
73 Crestview-Fort Walton Beach-Destin, FL 126 11 86 200
74 Fayetteville-Springdale-Rogers, AR-MO 97 44 154 129
75 Miami-Fort Lauderdale-West Palm Beach, FL 208 95 135 51
76 Gainesville, GA 274 17 118 84
77 Lake Charles, LA 84 306 33 89
78 Dayton, OH 232 108 41 112
79 Jackson, TN 109 87 200 101
80 Rome, GA 40 132 331 56
81 Pueblo, CO 62 113 304 67
82 Salem, OR 46 69 329 88
83 Fort Wayne, IN 14 323 68 137
84 San Angelo, TX 94 223 149 65
85 Dallas-Fort Worth-Arlington, TX 104 231 47 127
86 Corpus Christi, TX 118 185 191 61
87 Sacramento--Roseville--Arden-Arcade, CA 1 312 59 226
88 Portland-Vancouver-Hillsboro, OR-WA 37 282 67 152
89 Sioux Falls, SD 147 58 371 12
90 Midland, MI 203 342 48 20
91 Atlantic City-Hammonton, NJ 20 250 93 183
92 Grand Junction, CO 150 157 60 151
93 Topeka, KS 125 275 145 46
94 Shreveport-Bossier City, LA 247 65 219 64
95 Bellingham, WA 140 92 90 181
96 Baltimore-Columbia-Towson, MD 114 316 143 34
97 Omaha-Council Bluffs, NE-IA 43 102 174 211
98 Grand Rapids-Wyoming, MI 73 250 137 107
99 Buffalo-Cheektowaga-Niagara Falls, NY 283 194 57 70
100 Allentown-Bethlehem-Easton, PA-NJ 96 210 53 191
101 Springfield, MA 181 177 128 86
102 Las Vegas-Henderson-Paradise, NV 220 118 70 138
103 Olympia-Tumwater, WA 42 134 112 234
104 Kankakee, IL 24 208 196 164
105 Kennewick-Richland, WA 255 52 160 113
106 Knoxville, TN 221 171 24 184
107 Harrisburg-Carlisle, PA 124 9 201 233
108 Joplin, MO 111 228 178 91
109 Bowling Green, KY 57 88 192 223
110 Sherman-Denison, TX 128 163 71 198
111 Hagerstown-Martinsburg, MD-WV 202 24 120 203
112 Springfield, IL 308 225 34 76
113 Columbus, IN 30 110 370 97
114 Port St. Lucie, FL 29 202 91 251
115 Redding, CA 70 42 244 222
116 Jackson, MS 293 62 144 105
117 Tuscaloosa, AL 121 79 129 218
118 Cape Girardeau, MO-IL 193 124 185 111
119 Binghamton, NY 279 265 136 26
120 Minneapolis-St. Paul-Bloomington, MN-WI 56 305 184 116
121 South Bend-Mishawaka, IN-MI 48 321 182 109
122 Abilene, TX 194 131 221 96
123 Macon, GA 235 122 268 59
124 Cape Coral-Fort Myers, FL 79 141 124 239
125 Dover, DE 184 119 189 135
126 Canton-Massillon, OH 227 287 52 103
127 East Stroudsburg, PA 86 290 280 57
128 Warner Robins, GA 151 23 114 283
129 Beaumont-Port Arthur, TX 51 229 88 254
130 Roanoke, VA 256 96 100 168
131 Alexandria, LA 44 241 283 126
132 Niles-Benton Harbor, MI 53 357 181 85
133 San Diego-Carlsbad, CA 112 373 30 108
134 Cheyenne, WY 138 73 377 44
135 Walla Walla, WA 209 67 325 81
136 Norwich-New London, CT 137 261 141 125
137 Rochester, MN 83 215 356 58
138 Sierra Vista-Douglas, AZ 129 214 217 118
139 Florence, SC 277 196 253 39
140 Goldsboro, NC 17 211 349 128
141 Sioux City, IA-NE-SD 32 365 202 93
142 Waco, TX 49 166 164 271
143 Peoria, IL 108 322 127 123
144 Dubuque, IA 233 237 270 42
145 Oshkosh-Neenah, WI 350 19 292 63
146 Janesville-Beloit, WI 80 264 198 172
147 Coeur d'Alene, ID 217 33 212 216
148 Rapid City, SD 188 98 256 146
149 Raleigh, NC 34 184 157 282
150 Manchester-Nashua, NH 105 269 288 90
151 Salisbury, MD-DE 76 277 55 270
152 Cedar Rapids, IA 226 283 274 35
153 Lakeland-Winter Haven, FL 52 239 167 245
154 Carson City, NV 300 32 224 173
155 Victoria, TX 162 160 126 225
156 Brunswick, GA 213 139 152 196
157 Vallejo-Fairfield, CA 212 304 234 53
158 Jonesboro, AR 115 238 215 165
159 Columbus, GA-AL 92 268 195 186
160 Greeley, CO 234 247 66 185
161 Appleton, WI 296 106 359 29
162 Lancaster, PA 139 37 238 273
163 Lawton, OK 134 350 188 82
164 Hattiesburg, MS 146 165 285 154
165 New Bern, NC 237 68 175 227
166 Decatur, AL 75 288 106 244
167 Houston-The Woodlands-Sugar Land, TX 310 178 65 166
168 Panama City, FL 166 146 80 289
169 Kalamazoo-Portage, MI 122 183 147 250
170 Seattle-Tacoma-Bellevue, WA 116 331 45 236
171 Palm Bay-Melbourne-Titusville, FL 149 213 83 257
172 Asheville, NC 316 72 113 202
173 Davenport-Moline-Rock Island, IA-IL 127 335 125 158
174 Boston-Cambridge-Newton, MA-NH 117 319 225 122
175 Elkhart-Goshen, IN 163 284 218 120
176 Longview, WA 65 39 290 320
177 St. Joseph, MO-KS 131 271 115 219
178 Daphne-Fairhope-Foley, AL 258 159 99 217
179 Jefferson City, MO 196 258 294 78
180 Wichita Falls, TX 143 205 205 204
181 Battle Creek, MI 85 289 287 142
182 Texarkana, TX-AR 71 176 211 274
183 Clarksville, TN-KY 239 101 148 232
184 Fort Smith, AR-OK 54 245 312 197
185 Trenton, NJ 33 336 249 179
186 Santa Rosa, CA 26 356 220 169
187 Midland, TX 205 198 350 66
188 Eugene, OR 231 190 303 99
189 Erie, PA 133 280 186 182
190 Toledo, OH 173 155 264 194
191 Cleveland, TN 120 180 266 207
192 Durham-Chapel Hill, NC 206 153 44 316
193 Bend-Redmond, OR 156 91 237 248
194 Lewiston-Auburn, ME 301 103 172 188
195 Kingston, NY 204 303 159 132
196 New York-Newark-Jersey City, NY-NJ-PA 123 374 122 95
197 Mount Vernon-Anacortes, WA 110 167 190 278
198 York-Hanover, PA 177 97 138 297
199 Dothan, AL 113 216 183 256
200 Longview, TX 89 259 209 237
201 Yakima, WA 315 105 342 62
202 Sumter, SC 218 164 278 160
203 Billings, MT 199 120 169 259
204 Charlottesville, VA 207 76 158 299
205 Albany, OR 155 34 309 281
206 Terre Haute, IN 242 334 254 68
207 Hilton Head Island-Bluffton-Beaufort, SC 107 262 206 241
208 Sheboygan, WI 270 122 262 190
209 Owensboro, KY 219 332 171 130
210 Rocky Mount, NC 251 174 311 139
211 Michigan City-La Porte, IN 249 284 73 228
212 Colorado Springs, CO 98 199 155 317
213 Lansing-East Lansing, MI 185 155 95 326
214 Auburn-Opelika, AL 171 90 243 286
215 Austin-Round Rock, TX 172 314 77 243
216 Grand Island, NE 103 333 298 133
217 Napa, CA 106 347 279 131
218 Florence-Muscle Shoals, AL 257 227 142 210
219 Lubbock, TX 135 233 180 267
220 Anchorage, AK 136 273 323 156
221 Saginaw, MI 132 360 318 74
222 Hammond, LA 198 148 296 214
223 Fayetteville, NC 164 93 300 264
224 Oxnard-Thousand Oaks-Ventura, CA 187 266 265 175
225 Evansville, IN-KY 200 298 81 255
226 Utica-Rome, NY 264 249 139 209
227 Lima, OH 165 302 310 124
228 Pine Bluff, AR 284 230 289 121
229 Anniston-Oxford-Jacksonville, AL 78 297 333 180
230 Chico, CA 186 126 306 231
231 Wenatchee, WA 241 267 165 208
232 Wausau, WI 271 242 255 144
233 Scranton--Wilkes-Barre--Hazleton, PA 261 172 94 295
234 Jacksonville, NC 309 121 315 141
235 Johnson City, TN 281 209 276 148
236 North Port-Sarasota-Bradenton, FL 333 151 96 238
237 Deltona-Daytona Beach-Ormond Beach, FL 229 254 37 330
238 Salt Lake City, UT 275 104 140 302
239 Lebanon, PA 195 86 161 347
240 Modesto, CA 243 141 273 229
241 Hickory-Lenoir-Morganton, NC 60 352 179 265
242 Medford, OR 262 6 353 260
243 Tallahassee, FL 263 89 177 307
244 Pittsfield, MA 377 64 87 220
245 Santa Fe, NM 287 200 103 280
246 Bangor, ME 335 205 316 83
247 Naples-Immokalee-Marco Island, FL 170 248 233 240
248 Casper, WY 259 158 326 192
249 Kokomo, IN 299 353 76 176
250 Springfield, OH 216 310 241 174
251 Huntington-Ashland, WV-KY-OH 192 336 116 242
252 Pocatello, ID 141 200 269 287
253 Bloomington, IL 222 48 281 328
254 Dalton, GA 272 162 375 110
255 Yuba City, CA 252 71 230 324
256 Pittsburgh, PA 348 278 19 275
257 Eau Claire, WI 341 128 313 149
258 Riverside-San Bernardino-Ontario, CA 325 80 150 301
259 Chambersburg-Waynesboro, PA 182 63 250 355
260 Harrisonburg, VA 161 18 339 351
261 Houma-Thibodaux, LA 91 325 133 339
262 Vineland-Bridgeton, NJ 214 75 267 335
263 Bremerton-Silverdale, WA 179 291 204 268
264 Bridgeport-Stamford-Norwalk, CT 81 361 317 187
265 San Luis Obispo-Paso Robles-Arroyo Grande, CA 268 294 282 163
266 Portland-South Portland, ME 349 307 98 189
267 Las Cruces, NM 201 61 368 279
268 Killeen-Temple, TX 248 292 123 284
269 Monroe, LA 240 279 366 119
270 Burlington-South Burlington, VT 303 281 252 167
271 Idaho Falls, ID 327 94 257 253
272 Madera, CA 334 22 364 215
273 Glens Falls, NY 318 180 85 315
274 Monroe, MI 267 317 89 285
275 Bloomsburg-Berwick, PA 369 253 168 155
276 Flagstaff, AZ 167 189 235 340
277 Muskegon, MI 64 362 367 161
278 Williamsport, PA 273 236 121 321
279 Gettysburg, PA 291 115 314 262
280 Lewiston, ID-WA 245 107 327 291
281 Flint, MI 158 351 346 157
282 Great Falls, MT 288 112 246 314
283 Odessa, TX 329 256 242 201
284 Los Angeles-Long Beach-Anaheim, CA 254 379 111 170
285 Myrtle Beach-Conway-North Myrtle Beach, SC-NC 176 271 272 292
286 Farmington, NM 355 344 58 213
287 Decatur, IL 323 359 97 206
288 Washington-Arlington-Alexandria, DC-VA-MD-WV 90 286 379 221
289 La Crosse-Onalaska, WI-MN 304 125 337 246
290 Jackson, MI 210 311 260 258
291 Prescott, AZ 294 136 227 336
292 Sebastian-Vero Beach, FL 324 226 203 263
293 Bakersfield, CA 356 83 236 288
294 Watertown-Fort Drum, NY 313 324 286 159
295 Madison, WI 289 263 284 235
296 Athens-Clarke County, GA 225 149 351 290
297 Waterloo-Cedar Falls, IA 302 345 231 193
298 Santa Cruz-Watsonville, CA 102 370 207 293
299 Lincoln, NE 306 193 156 341
300 St. Cloud, MN 305 59 354 304
301 Fond du Lac, WI 236 224 322 296
302 Stockton-Lodi, CA 340 197 170 311
303 Staunton-Waynesboro, VA 266 150 239 356
304 Gainesville, FL 223 145 320 350
305 Elmira, NY 319 330 163 249
306 Santa Maria-Santa Barbara, CA 190 369 151 294
307 Blacksburg-Christiansburg-Radford, VA 342 170 332 224
308 San Francisco-Oakland-Hayward, CA 211 377 228 205
309 St. George, UT 326 219 222 305
310 Bismarck, ND 269 246 378 195
311 Ann Arbor, MI 145 254 199 378
312 California-Lexington Park, MD 292 329 381 102
313 Danville, IL 93 366 229 345
314 Fairbanks, AK 215 234 374 261
315 Fort Collins, CO 286 218 245 352
316 Carbondale-Marion, IL 295 270 324 266
317 Lafayette-West Lafayette, IN 312 299 263 272
318 College Station-Bryan, TX 244 174 343 342
319 Hot Springs, AR 298 328 146 332
320 Kingsport-Bristol-Bristol, TN-VA 321 313 102 343
321 Parkersburg-Vienna, WV 322 274 108 357
322 Hinesville, GA 332 192 307 303
323 Mankato-North Mankato, MN 347 84 352 300
324 Ocala, FL 228 326 213 354
325 Gadsden, AL 189 338 258 344
326 El Paso, TX 354 220 214 319
327 Champaign-Urbana, IL 280 231 328 331
328 Iowa City, IA 331 38 321 365
329 Charleston, WV 338 343 92 338
330 Mansfield, OH 328 340 223 277
331 Duluth, MN-WI 378 341 259 153
332 Greenville, NC 320 203 360 276
333 Grants Pass, OR 311 40 363 362
334 Youngstown-Warren-Boardman, OH-PA 276 346 251 312
335 Hanford-Corcoran, CA 361 188 271 309
336 Salinas, CA 365 354 193 230
337 Fresno, CA 366 109 299 334
338 Grand Forks, ND-MN 371 185 305 269
339 Valdosta, GA 246 244 372 323
340 Kahului-Wailuku-Lahaina, HI 278 381 173 252
341 Cumberland, MD-WV 360 276 194 322
342 Missoula, MT 363 296 295 247
343 Ogden-Clearfield, UT 357 194 308 308
344 Ithaca, NY 230 77 361 381
345 San Jose-Sunnyvale-Santa Clara, CA 339 375 248 212
346 Morristown, TN 197 318 297 366
347 Bloomington, IN 314 221 340 349
348 Fargo, ND-MN 364 212 261 348
349 Honolulu, HI 343 380 341 104
350 Columbia, MO 317 116 319 373
351 Morgantown, WV 362 161 344 325
352 Bay City, MI 265 371 232 337
353 Punta Gorda, FL 282 300 293 364
354 Visalia-Porterville, CA 368 113 369 318
355 Lawrence, KS 297 217 275 379
356 Wheeling, WV-OH 344 355 226 313
357 Weirton-Steubenville, WV-OH 351 368 153 310
358 Yuma, AZ 359 339 380 143
359 Albany, GA 290 308 365 329
360 Corvallis, OR 345 203 277 367
361 Muncie, IN 353 293 335 298
362 State College, PA 373 15 334 376
363 Sebring, FL 260 372 210 359
364 Homosassa Springs, FL 337 348 187 360
365 Logan, UT-ID 352 128 357 361
366 Merced, CA 376 138 347 346
367 El Centro, CA 375 152 362 353
368 Johnstown, PA 346 363 208 358
369 Laredo, TX 380 99 358 368
370 Manhattan, KS 358 222 348 371
371 Ocean City, NJ 336 376 302 333
372 Altoona, PA 307 367 291 370
373 Boulder, CO 285 349 338 377
374 Beckley, WV 253 364 336 375
375 Barnstable, MA 379 378 247 327
376 Provo-Orem, UT 367 240 345 380
377 Ames, IA 372 257 355 369
378 Lake Havasu City-Kingman, AZ 330 301 373 374
379 Brownsville-Harlingen, TX 381 309 301 363
380 The Villages, FL 370 358 376 306
381 McAllen-Edinburg-Mission, TX 374 315 330 372

Cities-that-Most-Closely-Resemble-the-US-Artwork
 

Rankings by MSA Size

Large MSA ranking

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Medium-Sized MSA ranking

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Small MSA ranking

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Overall Rank

Large MSAs

Medium-Sized MSAs

Small MSAs

1 Indianapolis-Carmel-Anderson, IN Charleston-North Charleston, SC Racine, WI
2 Cincinnati, OH-KY-IN Greensboro-High Point, NC Burlington, NC
3 Nashville-Davidson--Murfreesboro--Franklin, TN Little Rock-North Little Rock-Conway, AR Elizabethtown-Fort Knox, KY
4 Jacksonville, FL Albuquerque, NM Winchester, VA-WV
5 Charlotte-Concord-Gastonia, NC-SC Greenville-Anderson-Mauldin, SC Gainesville, GA
6 Oklahoma City, OK Tulsa, OK Jackson, TN
7 St. Louis, MO-IL Columbia, SC Rome, GA
8 Phoenix-Mesa-Scottsdale, AZ Huntsville, AL Pueblo, CO
9 Kansas City, MO-KS Augusta-Richmond County, GA-SC San Angelo, TX
10 Columbus, OH Tucson, AZ Midland, MI
11 Richmond, VA Baton Rouge, LA Grand Junction, CO
12 Louisville/Jefferson County, KY-IN Savannah, GA Kankakee, IL
13 Birmingham-Hoover, AL Winston-Salem, NC Joplin, MO
14 Orlando-Kissimmee-Sanford, FL Wilmington, NC Bowling Green, KY
15 Detroit-Warren-Dearborn, MI Reading, PA Sherman-Denison, TX
16 Milwaukee-Waukesha-West Allis, WI Worcester, MA-CT Columbus, IN
17 Chicago-Naperville-Elgin, IL-IN-WI Lexington-Fayette, KY Redding, CA
18 Cleveland-Elyria, OH Pensacola-Ferry Pass-Brent, FL Cape Girardeau, MO-IL
19 New Orleans-Metairie, LA Akron, OH Abilene, TX
20 Rochester, NY Syracuse, NY Dover, DE
21 Memphis, TN-MS-AR Montgomery, AL East Stroudsburg, PA
22 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Wichita, KS Warner Robins, GA
23 Virginia Beach-Norfolk-Newport News, VA-NC Reno, NV Alexandria, LA
24 Tampa-St. Petersburg-Clearwater, FL Chattanooga, TN-GA Niles-Benton Harbor, MI
25 Atlanta-Sandy Springs-Roswell, GA Green Bay, WI Cheyenne, WY
26 Providence-Warwick, RI-MA New Haven-Milford, CT Walla Walla, WA
27 Denver-Aurora-Lakewood, CO Gulfport-Biloxi-Pascagoula, MS Sierra Vista-Douglas, AZ
28 Hartford-West Hartford-East Hartford, CT Albany-Schenectady-Troy, NY Goldsboro, NC
29 San Antonio-New Braunfels, TX Mobile, AL Sioux City, IA-NE-SD
30 Miami-Fort Lauderdale-West Palm Beach, FL Rockford, IL Dubuque, IA
31 Dallas-Fort Worth-Arlington, TX Boise City, ID Oshkosh-Neenah, WI
32 Sacramento--Roseville--Arden-Arcade, CA Lafayette, LA Janesville-Beloit, WI
33 Portland-Vancouver-Hillsboro, OR-WA Spartanburg, SC Coeur d'Alene, ID
34 Baltimore-Columbia-Towson, MD Amarillo, TX Rapid City, SD
35 Grand Rapids-Wyoming, MI Spokane-Spokane Valley, WA Carson City, NV
36 Buffalo-Cheektowaga-Niagara Falls, NY Springfield, MO Victoria, TX
37 Las Vegas-Henderson-Paradise, NV Lynchburg, VA Brunswick, GA
38 Minneapolis-St. Paul-Bloomington, MN-WI Des Moines-West Des Moines, IA Jonesboro, AR
39 San Diego-Carlsbad, CA Tyler, TX Lawton, OK
40 Raleigh, NC Crestview-Fort Walton Beach-Destin, FL Hattiesburg, MS
41 Houston-The Woodlands-Sugar Land, TX Fayetteville-Springdale-Rogers, AR-MO New Bern, NC
42 Seattle-Tacoma-Bellevue, WA Lake Charles, LA Decatur, AL
43 Boston-Cambridge-Newton, MA-NH Dayton, OH Panama City, FL
44 New York-Newark-Jersey City, NY-NJ-PA Salem, OR Elkhart-Goshen, IN
45 Austin-Round Rock, TX Fort Wayne, IN Longview, WA
46 Salt Lake City, UT Corpus Christi, TX St. Joseph, MO-KS
47 Pittsburgh, PA Sioux Falls, SD Daphne-Fairhope-Foley, AL
48 Riverside-San Bernardino-Ontario, CA Atlantic City-Hammonton, NJ Jefferson City, MO
49 Los Angeles-Long Beach-Anaheim, CA Topeka, KS Wichita Falls, TX
50 Washington-Arlington-Alexandria, DC-VA-MD-WV Shreveport-Bossier City, LA Battle Creek, MI
51 San Francisco-Oakland-Hayward, CA Bellingham, WA Texarkana, TX-AR
52 San Jose-Sunnyvale-Santa Clara, CA Omaha-Council Bluffs, NE-IA Midland, TX
53 Allentown-Bethlehem-Easton, PA-NJ Cleveland, TN
54 Springfield, MA Bend-Redmond, OR
55 Olympia-Tumwater, WA Lewiston-Auburn, ME
56 Kennewick-Richland, WA Kingston, NY
57 Knoxville, TN Mount Vernon-Anacortes, WA
58 Harrisburg-Carlisle, PA Dothan, AL
59 Hagerstown-Martinsburg, MD-WV Sumter, SC
60 Springfield, IL Billings, MT
61 Port St. Lucie, FL Albany, OR
62 Jackson, MS Terre Haute, IN
63 Tuscaloosa, AL Hilton Head Island-Bluffton-Beaufort, SC
64 Binghamton, NY Sheboygan, WI
65 South Bend-Mishawaka, IN-MI Owensboro, KY
66 Macon, GA Rocky Mount, NC
67 Cape Coral-Fort Myers, FL Michigan City-La Porte, IN
68 Canton-Massillon, OH Auburn-Opelika, AL
69 Beaumont-Port Arthur, TX Grand Island, NE
70 Roanoke, VA Napa, CA
71 Norwich-New London, CT Florence-Muscle Shoals, AL
72 Rochester, MN Saginaw, MI
73 Florence, SC Hammond, LA
74 Waco, TX Lima, OH
75 Peoria, IL Pine Bluff, AR
76 Manchester-Nashua, NH Anniston-Oxford-Jacksonville, AL
77 Salisbury, MD-DE Wenatchee, WA
78 Cedar Rapids, IA Wausau, WI
79 Lakeland-Winter Haven, FL Jacksonville, NC
80 Vallejo-Fairfield, CA Lebanon, PA
81 Columbus, GA-AL Pittsfield, MA
82 Greeley, CO Santa Fe, NM
83 Appleton, WI Bangor, ME
84 Lancaster, PA Casper, WY
85 Kalamazoo-Portage, MI Kokomo, IN
86 Palm Bay-Melbourne-Titusville, FL Springfield, OH
87 Asheville, NC Pocatello, ID
88 Davenport-Moline-Rock Island, IA-IL Bloomington, IL
89 Clarksville, TN-KY Dalton, GA
90 Fort Smith, AR-OK Yuba City, CA
91 Trenton, NJ Eau Claire, WI
92 Santa Rosa, CA Chambersburg-Waynesboro, PA
93 Eugene, OR Harrisonburg, VA
94 Erie, PA Vineland-Bridgeton, NJ
95 Toledo, OH Monroe, LA
96 Durham-Chapel Hill, NC Idaho Falls, ID
97 York-Hanover, PA Madera, CA
98 Longview, TX Glens Falls, NY
99 Yakima, WA Monroe, MI
100 Charlottesville, VA Bloomsburg-Berwick, PA
101 Colorado Springs, CO Flagstaff, AZ
102 Lansing-East Lansing, MI Muskegon, MI
103 Lubbock, TX Williamsport, PA
104 Anchorage, AK Gettysburg, PA
105 Fayetteville, NC Lewiston, ID-WA
106 Oxnard-Thousand Oaks-Ventura, CA Great Falls, MT
107 Evansville, IN-KY Odessa, TX
108 Utica-Rome, NY Farmington, NM
109 Chico, CA Decatur, IL
110 Scranton--Wilkes-Barre--Hazleton, PA La Crosse-Onalaska, WI-MN
111 Johnson City, TN Jackson, MI
112 North Port-Sarasota-Bradenton, FL Sebastian-Vero Beach, FL
113 Deltona-Daytona Beach-Ormond Beach, FL Watertown-Fort Drum, NY
114 Modesto, CA Athens-Clarke County, GA
115 Hickory-Lenoir-Morganton, NC Waterloo-Cedar Falls, IA
116 Medford, OR St. Cloud, MN
117 Tallahassee, FL Fond du Lac, WI
118 Naples-Immokalee-Marco Island, FL Staunton-Waynesboro, VA
119 Huntington-Ashland, WV-KY-OH Elmira, NY
120 Houma-Thibodaux, LA Blacksburg-Christiansburg-Radford, VA
121 Bremerton-Silverdale, WA St. George, UT
122 Bridgeport-Stamford-Norwalk, CT Bismarck, ND
123 San Luis Obispo-Paso Robles-Arroyo Grande, CA California-Lexington Park, MD
124 Portland-South Portland, ME Danville, IL
125 Las Cruces, NM Fairbanks, AK
126 Killeen-Temple, TX Carbondale-Marion, IL
127 Burlington-South Burlington, VT Hot Springs, AR
128 Flint, MI Parkersburg-Vienna, WV
129 Myrtle Beach-Conway-North Myrtle Beach, SC-NC Hinesville, GA
130 Prescott, AZ Mankato-North Mankato, MN
131 Bakersfield, CA Gadsden, AL
132 Madison, WI Iowa City, IA
133 Santa Cruz-Watsonville, CA Mansfield, OH
134 Lincoln, NE Greenville, NC
135 Stockton-Lodi, CA Grants Pass, OR
136 Gainesville, FL Hanford-Corcoran, CA
137 Santa Maria-Santa Barbara, CA Grand Forks, ND-MN
138 Ann Arbor, MI Valdosta, GA
139 Fort Collins, CO Kahului-Wailuku-Lahaina, HI
140 Lafayette-West Lafayette, IN Cumberland, MD-WV
141 College Station-Bryan, TX Missoula, MT
142 Kingsport-Bristol-Bristol, TN-VA Ithaca, NY
143 Ocala, FL Morristown, TN
144 El Paso, TX Bloomington, IN
145 Champaign-Urbana, IL Columbia, MO
146 Charleston, WV Morgantown, WV
147 Duluth, MN-WI Bay City, MI
148 Youngstown-Warren-Boardman, OH-PA Punta Gorda, FL
149 Salinas, CA Lawrence, KS
150 Fresno, CA Wheeling, WV-OH
151 Ogden-Clearfield, UT Weirton-Steubenville, WV-OH
152 Fargo, ND-MN Albany, GA
153 Honolulu, HI Corvallis, OR
154 Visalia-Porterville, CA Muncie, IN
155 Yuma, AZ State College, PA
156 Merced, CA Sebring, FL
157 Laredo, TX Homosassa Springs, FL
158 Boulder, CO Logan, UT-ID
159 Barnstable, MA El Centro, CA
160 Provo-Orem, UT Johnstown, PA
161 Lake Havasu City-Kingman, AZ Manhattan, KS
162 Brownsville-Harlingen, TX Ocean City, NJ
163 McAllen-Edinburg-Mission, TX Altoona, PA
164 Beckley, WV
165 Ames, IA
166 The Villages, FL

 

U.S. Snapshot

US-Snapshot

Sociodemographic Stats

  1. Gender:
    1. % of Female Population: 50.79%
    2. % of Male Population: 49.21%
  2. Age:
    1. % of Population Younger than 19 Years: 26.30%
    2. % of Population Between 20 & 24 Years: 7.20%
    3. % of Population Between 25 & 34 Years: 13.50%
    4. % of Population Between 35 & 44 Years: 13.00%
    5. % of Population Between 45 & 54 Years: 14.10%
    6. % of Population Between 55 & 64 Years: 12.30%
    7. % of Population Aged 65 & Older: 13.70%
  3. Race:
    1. % of White Population: 73.90%
    2. % of Hispanic Population: 16.90%
    3. % of Black or African American Population: 12.60%
    4. % of American Indian or Alaskan Population: 0.80%
    5. % of Asian Population: 5.00%
    6. % of Native Hawaiian or Other Pacific Population: 0.20%
    7. % of Other Population: 4.70%
  4. Household Makeup:
    1. % of Family Households (Families): 66.10%
    2. % of Non-Family Households: 33.90%
  5. Family Relationship:
    1. % of Population Who Are Householders: 37.80%
    2. % of Population Who Are Spouses (in Households): 18.20%
    3. % of Population Who Are Children (in Households): 30.70%
    4. % of Population Represented by Other Relatives (in Households): 7.30%
    5. % of Population Represented by Nonrelatives (in Households): 5.90%
  6. % of Foreign-Born Population: 13.00%
  7. % of Population with Health Insurance Coverage: 85.20%

Housing Stats

  1. Housing Tenure (Renter-to-Owner Ratio): 56.16%
  2. Median House Price: $173200
  3. Median Monthly Owner Costs: $1082
  4. Vacancy Rate: 12.6%
  5. Average Home Square Footage: 1788.83

Economic Stats

  1. % of Population with the Following Household Income Levels:
    1. Less than $25,000 : 23.90%
    2. $25,000 – 34,999: 10.30%
    3. $35,000 – 49,999: 13.60%
    4. $50,000 – $74,999: 17.90%
    5. $75,000 – $99,999: 11.90%
    6. $100,000 – $149,999: 12.70%
    7. $150,000 or More: 9.60%
  2. % of Families Below Poverty Line: 11.70%
  3. Wealth Gap: 16.08
  4. % of Households Receiving Food Stamps: 13.36%
  5. Number of Part-Time Employees for Every 100 Full-Time Employees: 59.52
  6. Unemployment Rate: 5.9%
  7. Commute Time: 25.7 minutes
  8. Length of Average Workday: 7.68 hours
  9. Civilian Employed Population Aged 16 & Older by Industry:
    1. Agriculture, Forestry, Fishing and Hunting, and Mining: 2.00%
    2. Construction: 6.10%
    3. Manufacturing: 10.50%
    4. Wholesale Trade: 2.70%
    5. Retail Trade: 11.60%
    6. Transportation and Warehousing, and Utilities: 4.90%
    7. Information: 2.10%
    8. Finance and Insurance, and Real Estate and Rental and Leasing: 6.60%
    9. Professional, Scientific, and Management, and Administrative and Waste Management Services: 10.90%
    10. Educational Services, and Health Care and Social Assistance: 23.20%
    11. Arts, Entertainment, and Recreation, and Accommodation and Food Services: 9.50%
    12. Other Services, except Public Administration: 5.00%
    13. Public Administration: 4.90%

Education Stats

  1. Educational Attainment:
    1. % of People Aged 25 & Older with a Bachelor’s Degree or Higher: 29.10%
    2. % of People Aged 25 & Older with Some College Experience or Associate's Degree: 29.10%
    3. % of People Aged 25 & Older Who Are High School Graduates: 28.00%
    4. % of People Aged 25 & Older Who Did Not Complete High School: 13.70%
  2. % of Population Aged 3 & Older Enrolled in School: 27.40%

Ask The Experts: Cities that resembles the US

  1. Do local economies benefit from having a diverse population that closely resembles the U.S. population?
  2. What lessons can we learn from the social, political and economic experience of cities that closely resemble the U.S. that might benefit the country as a whole?
  3. Do cities that closely resemble the U.S. benefit from increased attention from advertisers? Politicians?
< >
  • Brian Strow Professor of Economics at Western Kentucky University
  • Martha Cruz-Zuniga Assistant Clinical Professor of Economics and Director of Economics Programs at Catholic University of America
  • Neil Malhotra Professor of Political Economy at Stanford Graduate School of Business
  • John O'Trakoun Teaching Fellow in the Department of Economics at Boston College
  • Robert W. Gilmer Director of the Institute for Regional Forecasting at University of Houston, Bauer College of Business

Brian Strow

Professor of Economics at Western Kentucky University
Brian Strow
Do local economies benefit from having a diverse population that closely resembles the U.S. population?

Population diversity often brings with it a diversity of ideas, tastes, and preferences. The more diverse a population, the more choices the average consumer will have when seeking out products and services. People who live in homogenous areas but who have different tastes and preferences from the majority have their consumer choice set artificially constrained. This leads to a lower level of life satisfaction. By having a local population closely resemble the diverse U.S. population, local economies gain product and service markets that are more likely to contain the widest possible selection of goods and services possible. This increased choice set, in turn, leads to higher levels of satisfaction among the population.

What lessons can we learn from the social, political and economic experience of cities that closely resemble the U.S. that might benefit the country as a whole?

There are cities in the U.S. that closely resemble the diversity of the U.S. as a whole. What we tend to find in these cities is increased cooperation between diverse groups of people to achieve common goals. Diverse populations learn to respect the differences of others while still seeking to enjoy the products and services they personally enjoy. When their interests intersect, locally diverse populations can show the rest of the U.S. that we do not have to all be alike to be on the same team.

Do cities that closely resemble the U.S. benefit from increased attention from advertisers? Politicians?

Businesses want to know if people will buy their product. Politicians want to know the prevailing opinions of the electorate. Rolling out a product nationally or surveying an entire population can be costly. A more cost effective method of information gathering by marketers and pollsters alike is to find representative samples of people to try their products or ideas on. When a representative sample of the U.S. population can be found in one local media market, it lowers the data collection costs of marketing researchers and pollsters. As a result, cities that closely resemble the U.S. get special attention. They often serve as test markets where they gain access to new products and services sooner than the rest of the country. They have access to a larger variety of products and services than their population size would dictate on its own. Small representative cities and towns with populations that closely resemble the U.S. population gain amenities often reserved for larger and wealthier areas.

Martha Cruz-Zuniga

Assistant Clinical Professor of Economics and Director of Economics Programs at Catholic University of America
Martha Cruz-Zuniga
Do local economies benefit from having a diverse population that closely resembles the U.S. population?

Considering racial and ethnic diversity, the U.S. population is somewhat diverse. The last statistics from the U.S. Census Bureau indicate that the majority of the U.S. population is white (62.40%). The second largest group and which has experienced faster growth than other groups, Hispanic or Latino represents 17.10% of the population, and in this case is not a given race but more of a geographical and cultural diversity. Meanwhile, Black or African American population represents 12.30%. These three groups total 96.80% of the population of the country which reaches over 300 million. As a comparison, the most populous country in Africa, Nigeria, with about 180 million people has 250 ethnic groups and a large number of languages.

In economics, it is acknowledged that innovation is the engine of economic growth. Innovation comes from people with new ideas and new approaches on how to present solutions to existing needs and problems. Diversity can be a factor that helps creating new ideas and new designs (application of the ideas to practical solutions) as cultural background behind diverse groups of the population can bring new approaches to a workplace.

Local economies can benefit from diversity if they focus on promoting an environment of communication and interchange of ideas. Without a proper framework, diversity could lead to problems. Studies in economics show how more homogenous societies are in principle simpler to operate, but the benefits of a diverse society with the appropriate framework where it operates can surpass the challenges it may present.

Do cities that closely resemble the U.S. benefit from increased attention from advertisers? Politicians?

The 10 largest cities of the country: New York, Los Angeles, Chicago, Houston, Philadelphia, Phoenix, San Antonio, San Diego, Dallas, and San Jose are among the most diverse and have certainly benefited from the attention paid by advertisers. The largest marketing companies are based in these cities, most of the TV program content is created there and distributed to the rest of the country. It will be undoubtedly easier for advertisers to reach success with their campaigns when they are displayed/used among similar audiences. An additional aspect of diversity is the presence of new business within cities that tend to specific needs of diverse communities. For instance, consider the case of local Spanish channels targeting the needs of Hispanic population.

For politicians, diversity complicates the panorama. At local level, it is challenging for candidates to be accepted by all segments of the local population. Additional time must be spent in cultivating relations with diverse communities and creating harmonious relations with all groups without generating perceptions of favoritism.

Neil Malhotra

Professor of Political Economy at Stanford Graduate School of Business
Neil Malhotra
What lessons can we learn from the social, political and economic experience of cities that closely resemble the U.S. that might benefit the country as a whole?

Cities are increasingly becoming "laboratories of democracy" as gridlock at the federal level cripples Washington. The cities that are most representative of the U.S. provide the best models for scaling up innovations to the federal level.

John O'Trakoun

Teaching Fellow in the Department of Economics at Boston College
John O'Trakoun
Do local economies benefit from having a diverse population that closely resembles the U.S. population?

Local economies that are able to attract a diverse demographic are likely to already benefit from strong underlying fundamentals, which make them an attractive place to live. At the same time, the diversity of the local population contributes to the economic health of the city and surrounding region; a diverse population brings various perspectives, ideas and skills to the economy, and the interaction of these ideas is crucial to the process of innovation and economic development. This creates a virtuous cycle (feedback loop) of economic growth.

What lessons can we learn from the social, political and economic experience of cities that closely resemble the U.S. that might benefit the country as a whole?

Healthy cities with socioeconomically diverse populations are able to implement inclusive social programs and governance structures that can accommodate the various concerns and interests of their residents. They are incubators for programs which, when scaled up, might benefit the country as a whole.

Do cities that closely resemble the U.S. benefit from increased attention from advertisers? Politicians?

Cities with representative populations are barometers for the political and economic attitudes of the nation as a whole. They're valuable to both advertisers and politicians as testing grounds for new ideas, policies, goods and services. Products that survive the local litmus test are more likely to be successful when scaled up nationwide. A city that is able to attract a diverse populace is likely to have strong underlying economic fundamentals, which turn them into target markets for advertisers, businesses, and politicians (who are always hungry for campaign contributions).

Robert W. Gilmer

Director of the Institute for Regional Forecasting at University of Houston, Bauer College of Business
Robert W. Gilmer
Do local economies benefit from having a diverse population that closely resembles the U.S. population?

I am not sure why you chose a standard like "rest of US." Why not the rest of the world? I work on the University of Houston campus, and if dropped from the sky with no information on where you were, after watching the students change class at U of H, the first question would be, "What continent am I on?" What brought Houston this kind of diversity? A long African American heritage dating to the days of sugar and rice plantations, proximity to Mexico, the boat people of Vietnam in the 1970s, and a global search for oil-related skills by the American oil industry.

This is the headquarters for American oil, and reservoir engineers, drilling engineers, geologists and geophysicists have been in very short supply for many years. The U.S. quit training many of these petroleum workers after the oil-bust of the 1980s. Exxon, Shell, BP, Oxy, Conoco, Dow and dozens of other employers have scoured the world hard for over a decade in search of oil-related skills. Does it help to have large communities of Scots, Norwegians, Pakistanis, Indians, and every country in the middle east already here? Of course. It makes Houston a comfortable place to live and work, as they can (and do) cluster together with their cultures and religions.

What lessons can we learn from the social, political and economic experience of cities that closely resemble the U.S. that might benefit the country as a whole?

First, it is good business, as I indicated above. Houston's international diversity is largely middle class and professional. They cluster in the distant suburbs, with Fort Bend County and Sugar Land the best example. Katy, the Woodlands, Kingwood and many of the other large planned communities can also be important destinations. It brings a curious diversity to the "white flight" suburbs, where -- yes -- it is still confined to the middle class, but forces a strange mix of Texan and every other culture and religion on the planet. The schools provide a remarkable opportunity for students to be exposed to other cultures, religions, and ways of thinking. It probably paves the way for the African American and Latino population to enter what were once traditionally white suburbs far more easily than would be the case otherwise. They become just one more ethnic group among many.

Second, and also very important for all of us, the food is amazing, with an extraordinary collection of excellent ethnic restaurants that serve these communities. Greek, Turkish, Indian, Thai, Vietnamese, Pakistani, Mexican... and all with customers that come there for a meal just like their mother would make.

Do cities that closely resemble the U.S. benefit from increased attention from advertisers? Politicians?

For Houston, it is good business that made much of this happen. The ability to draw highly skilled labor from around the world helps the community grow. That is certainly Houston's case. Grow and you will get the attention of every advertiser and politician -- as the place where the dollars and votes are at. Diversity is not an end in itself -- but it an important means to a higher standard of living for all.

Methodology

To determine which metro areas most and least closely mirror the demographic anatomy of the U.S., WalletHub examined 381 of the most populated U.S. metropolitan statistical areas, or MSAs, across four key dimensions. Those dimensions include: 1) Sociodemographic Stats, 2) Housing Stats, 3) Economic Stats and 4) Education Stats. All dimensions were weighted equally with the exception of “Housing,” which received a smaller weight. We then identified 23 relevant metrics, which are listed below with their corresponding weights.

We determined the weight of each metric's subcomponent according to the percentage it represents at the national level. For instance, the “% of Population Younger than 19 Years” subcomponent was assigned a weight of 26.3 percent of the overall weight that the “Age” metric received to correspond with the fact that this age group comprises 26.3 percent of the overall U.S. population.

Sociodemographic Stats – Total Weight: 5

  1. Gender – Female-to-Male Ratio: Full Weight
  2. Age: Full Weight
    1. % of Population Younger than 19 Years
    2. % of Population Between 20 & 24 Years
    3. % of Population Between 25 & 34 Years
    4. % of Population Between 35 & 44 Years
    5. % of Population Between 45 & 54 Years
    6. % of Population Between 55 & 64 Years
    7. % of Population Aged 65 & Older
  3. Race: Full Weight
    1. % of White Population
    2. % of Hispanic Population
    3. % of Black or African American Population
    4. % of American Indian or Alaskan Population
    5. % of Asian Population
    6. % of Native Hawaiian or Other Pacific Population
    7. % of Other Population
  4. Household Makeup: Full Weight
    1. % of Family Households (Families)
    2. % of Non-Family Households
  5. Family Relationship: Full Weight
    1. % of Population Who Are Householders
    2. % of Population Who Are Spouses (in Households)
    3. % of Population Who Are Children (in Households)
    4. % of Population Represented by Other Relatives (in Households)
    5. % of Population Represented by Nonrelatives (in Households)
  6. % of Foreign-Born Population: Half Weight
  7. % of Population with Health Insurance Coverage: Half Weight

Housing Stats – Total Weight: 4

  1. Housing Tenure (Renter-to-Owner Ratio): Full Weight
  2. Median House Price: Full Weight
  3. Median Monthly Owner Costs: Full Weight
  4. Vacancy Rate: Half Weight
  5. Average Home Square Footage: Full Weight

Economic Stats – Total Weight: 5

  1. % of Population with the Following Household Income Levels: Full Weight
    1. Less than $25,000
    2. $25,000 – 34,999
    3. $35,000 – 49,999
    4. $50,000 – $74,999
    5. $75,000 – $99,999
    6. $100,000 – $149,999
    7. $150,000 or More
  2. % of Families Below Poverty Line: Half Weight
  3. Wealth Gap: Half Weight
  4. % of Households Receiving Food Stamps: Half Weight
  5. Number of Part-Time Employees for Every 100 Full-Time Employees: Half Weight
  6. Unemployment Rate: Half Weight
    Note: Calculated against total population 16 and over.
  7. Commute Time: Quarter Weight
  8. Length of Average Workday: Quarter Weight
  9. Civilian Employed Population Aged 16 & Older by Industry: Full Weight
    1. Agriculture, Forestry, Fishing and Hunting, and Mining
    2. Construction
    3. Manufacturing
    4. Wholesale Trade
    5. Retail Trade
    6. Transportation and Warehousing, and Utilities
    7. Information
    8. Finance and Insurance, and Real Estate and Rental and Leasing
    9. Professional, Scientific, and Management, and Administrative and Waste Management Services
    10. Educational Services, and Health Care and Social Assistance
    11. Arts, Entertainment, and Recreation, and Accommodation and Food Services
    12. Other Services, except Public Administration
    13. Public Administration

Education Stats – Total Weight: 5

  1. Educational Attainment: Full Weight
    1. % of People Aged 25 & Older with a Bachelor’s Degree or Higher
    2. % of People Aged 25 & Older with Some College Experience or Associate's Degree
    3. % of People Aged 25 & Older Who Are High School Graduates
    4. % of People Aged 25 & Older Who Did Not Complete High School
  2. % of Population Aged 3 & Older Enrolled in School: Full Weight

 

Sources: Data used to create these rankings is courtesy of the U.S. Census Bureau and Zillow.

Author

User
Richie Bernardo is a personal finance writer at WalletHub. He graduated with a Bachelor of Journalism and a minor in business from the University of Missouri-Columbia. Previously, he was a…
1942 Wallet Points

Discussion

 
By: Jessea
Jun 24, 2015
Well thank God that Jacksonville,Fla was part of this list,the best city in the south.
Reply Delete Flag
 
By: Indyrocks
Jun 23, 2015
Congratulations on Indy making the top spot on the list.
Unmatched affordability, Fiscally Responsible Government, Top notch education system, The American Dream, A strong Middle Class, and tons of opportunity and success are what Indy stands for :)
#Indypendent indeed.
Reply Delete Flag
 
Aug 29, 2014
Interesting ... the five cities with "Wealth Gap Furthest from U.S. Reference Value" ... all five are well known college towns: Corvallis (Oregon State), Gainesville (U of Fla.), Morgantown (U of WVa), Athens (U of Ga), and College Station (Texas A&M). I wonder what the next five or ten up the scale are.
Reply Delete Flag
 
Aug 29, 2014
Lovely work; a clinic in 'statistics can be both fun and useful.' The graphics and charting choices are also spot on.

Thanks.
Reply Delete Flag