2014’s Metro Areas that Most and Least Resemble the U.S.

by Richie Bernardo

WH-Best-Badges-150x150-US-AverageIt’s hard to think of modern-day America’s identity in black-and-white terms. Although we can’t patent freedom, we can safely claim buffalo wings, country music and Jay Leno as uniquely ours. But what else? Contrary to popular belief, English isn’t the official language of the United States. And the rumor that pizza was invented by Italian immigrants in New York? That’s been laid to rest. Heck, even the Statue of Liberty used to be a French citizen. Cuisine, religion, sports and vernacular are only among the myriad cultural identifiers that depend on region and give the U.S. its personality.

For centuries, diversification has perpetually blurred cultural lines. And though American “culture” can easily be described, it’s more difficult to quantify. Demographics, however, are not. Characteristics such as ethnic makeup, household size and median income can paint a picture of a country from a statistical vantage point. Why is this relevant to you, the consumer? There are many reasons. Parents, for one, may want to move their families to a city with a demographic anatomy resembling that of the U.S. to expose their children to more diversity. That way, their children might adapt more easily when they move to other parts of the country as adults. Others may wish to live in a city that is less representative of the U.S. in certain dimensions such as education standards or cultural variety.

For entrepreneurs, the information can be useful in determining where to launch their business ideas. And to marketers, the data matter even more. They use statistics to predict the success of many goods and services you pay for. If you live in Richmond, Va., for instance, you may be subjected to a constant barrage of new products because marketers will want to test them in your market. According to the Southern Institute of Research, “Feedback garnered from a test market that is truly representative of the U.S. population can predict the success or failure of a national rollout.”

So which cities bleed the most red, white and blue? WalletHub sought to find the answer to that question by examining various demographical stats for 366 of the largest metropolitan areas in the U.S. The data set includes simple metrics such as age, gender and income as well as more complex metrics such as household makeup and housing tenure. By studying these factors, we aim to identify the cities that address consumers’ varied priorities.

Main Findings

 

Overall Rank

MSA

Socio - Demographic Rank

Housing Rank

Economic Rank

Education Rank

1 Nashville, TN 8 19 7 4
2 Cincinnati, OH 25 6 3 30
3 Indianapolis, IN 19 9 4 24
4 Charleston, SC 52 1 9 23
5 Jacksonville, FL 6 45 12 29
6 Greenville, SC 13 126 18 2
7 Oklahoma, OK 3 18 45 19
8 Phoenix, AZ 28 16 5 43
9 Albuquerque, NM 11 8 24 52
10 Winston, NC 91 27 21 8
11 Birmingham, AL 103 48 19 7
12 Greensboro, NC 67 40 72 1
13 Orlando, FL 23 63 26 15
14 Charlotte, NC 35 59 8 41
15 Columbus, OH 31 37 13 51
16 Louisville/Jefferson County, KY 24 144 2 31
17 Lexington, KY 42 26 11 57
18 Tulsa, OK 4 43 61 43
19 Baton Rouge, LA 54 77 10 36
20 Columbia, SC 58 69 15 33
21 St. Louis, MO 121 130 1 26
22 New Orleans, LA 89 13 83 6
23 Kansas City, MO 1 54 68 45
24 Tucson, AZ 32 4 47 82
25 Little Rock, AR 66 57 55 11
26 Milwaukee, WI 56 137 14 32
27 Savannah, GA 143 30 64 5
28 Richmond, VA 33 75 71 18
29 Cleveland, OH 231 49 6 20
30 Chicago, IL 10 149 28 46
31 Tampa, FL 119 46 20 61
32 Augusta, GA 75 112 59 16
33 Racine, WI 27 11 84 120
34 Montgomery, AL 222 60 96 3
35 Detroit, MI 80 182 53 10
36 Wichita, KS 5 135 70 73
37 Crestview, FL 62 3 62 163
38 Chattanooga, TN 101 83 23 68
39 Syracuse, NY 188 97 31 17
40 Pensacola, FL 49 82 36 83
41 Reading, PA 34 38 22 191
42 Wilmington, NC 145 14 25 119
43 Huntsville, AL 40 146 39 49
44 Atlanta, GA 130 32 27 100
45 Memphis, TN 200 15 114 21
46 Worcester, MA 26 262 60 27
47 Fayetteville, AR 90 36 136 53
48 Knoxville, TN 208 125 33 22
49 Boise, ID 106 5 46 166
50 Reno, NV 149 168 29 37
51 Rochester, NY 180 142 56 13
52 Akron, OH 193 142 16 50
53 Winchester, VA 123 2 125 149
54 Salisbury, MD 86 7 78 173
55 Rockford, IL 2 196 120 93
56 San Antonio, TX 65 158 35 113
57 Philadelphia, PA 41 254 32 91
58 Springfield, MA 282 145 57 9
59 Albany, NY 204 25 185 39
60 Spartanburg, SC 73 116 98 91
61 Tyler, TX 105 183 52 71
62 Providence, RI 136 319 37 12
63 Hagerstown, MD 144 12 75 181
64 Port St. Lucie, FL 60 156 86 115
65 Dallas, TX 102 236 43 64
66 Virginia Beach, VA 22 146 170 96
67 Denver, CO 17 205 103 128
68 Burlington, NC 131 96 89 108
69 Mobile, AL 176 51 161 54
70 Miami, FL 268 95 119 25
71 Jackson, MS 290 54 106 40
72 Springfield, MO 99 111 164 64
73 Bowling Green, KY 39 126 165 109
74 Elizabethtown, KY 126 66 82 146
75 Shreveport, LA 245 52 179 38
76 Gulfport, MS 63 58 213 115
77 Roanoke, VA 295 85 100 35
78 Amarillo, TX 46 92 141 145
79 Buffalo, NY 246 187 49 41
80 Spokane, WA 97 53 139 152
81 Lafayette, LA 94 121 88 134
82 Grand Rapids, MI 37 257 166 47
83 Omaha, NE 14 93 159 190
84 Cape Girardeau, MO 129 152 105 86
85 Kankakee, IL 18 166 121 169
86 Kennewick, WA 191 20 196 103
87 San Angelo, TX 57 178 214 61
88 Dayton, OH 234 91 40 124
89 Auburn, AL 173 89 144 81
90 Columbus, IN 21 140 285 80
91 New Haven, CT 79 305 63 56
92 Allentown, PA 85 202 50 141
93 Pueblo, CO 92 132 246 48
94 Lynchburg, VA 286 108 67 59
95 Tuscaloosa, AL 264 50 146 71
96 Gainesville, GA 197 39 115 153
97 Des Moines, IA 61 206 216 66
98 Lake Charles, LA 76 220 92 131
99 Salem, OR 36 79 348 68
100 Kingston, NY 213 277 87 28
101 Dover, DE 160 100 195 77
102 Greeley, CO 163 232 80 68
103 Fort Wayne, IN 9 309 99 143
104 Asheville, NC 269 71 130 74
105 Warner Robins, GA 148 20 176 184
106 Cape Coral, FL 138 164 124 114
107 Poughkeepsie, NY 142 299 192 13
108 Green Bay, WI 182 33 177 144
109 Atlantic, NJ 30 278 116 132
110 Sherman, TX 113 170 74 165
111 Hartford, CT 48 310 131 61
112 Las Vegas, NV 277 138 51 106
113 Topeka, KS 87 266 107 111
114 Redding, CA 74 17 241 228
115 Abilene, TX 167 133 201 76
116 Bellingham, WA 84 81 111 266
117 Sacramento, CA 7 315 76 198
118 Portland, OR 15 269 66 235
119 Joplin, MO 47 275 167 99
120 Panama, FL 114 165 48 237
121 Rome, GA 112 101 291 94
122 Springfield, IL 270 179 65 97
123 Rapid, SD 244 34 242 107
124 Baltimore, MD 68 293 173 67
125 Corpus Christi, TX 53 195 202 142
126 Jackson, TN 220 110 197 83
127 Pascagoula, MS 132 260 69 138
128 Hattiesburg, MS 266 177 209 34
129 Grand Junction, CO 169 174 73 164
130 Sioux, IA 16 342 169 89
131 South Bend, IN 45 311 162 95
132 Houston, TX 294 150 79 104
133 Palm Bay, FL 125 197 77 203
134 Kalamazoo, MI 64 172 190 179
135 Harrisburg, PA 154 31 222 210
136 Waco, TX 95 175 156 179
137 Raleigh, NC 38 187 129 273
138 Lancaster, PA 104 28 223 283
139 Salt Lake, UT 218 73 90 240
140 North Port, FL 304 102 122 120
141 Lewiston, ME 221 60 126 215
142 Lubbock, TX 120 259 218 89
143 Toledo, OH 147 106 198 186
144 Macon, GA 259 74 207 129
145 Coeur d'Alene, ID 198 22 238 206
146 Naples, FL 272 207 157 60
147 Durham, NC 179 94 34 329
148 Deltona, FL 162 215 38 256
149 Billings, MT 118 163 186 187
150 Jonesboro, AR 77 222 210 160
151 Janesville, WI 78 224 203 178
152 Lakeland, FL 29 226 172 264
153 Sioux Falls, SD 187 68 360 55
154 Brunswick, GA 219 151 123 171
155 Decatur, AL 51 331 44 233
156 Columbus, GA 115 272 187 127
157 Norwich, CT 153 261 184 118
158 Tallahassee, FL 226 70 180 204
159 Mount Vernon, WA 96 153 193 248
160 Anderson, SC 174 229 85 211
161 Utica, NY 227 265 97 135
162 Goldsboro, NC 12 200 322 209
163 Lansing, MI 178 126 102 292
164 Peoria, IL 128 313 112 157
165 Binghamton, NY 258 279 133 87
166 Eugene, OR 140 211 261 140
167 Las Cruces, NM 111 44 330 245
168 St. Joseph, MO 196 264 118 154
169 Austin, TX 158 303 42 224
170 Carson, NV 273 56 256 171
171 Longview, WA 122 24 338 260
172 Niles, MI 100 347 204 78
173 Wichita Falls, TX 155 213 232 155
174 Manchester, NH 127 255 307 98
175 Santa Rosa, CA 20 339 221 158
176 Beaumont, TX 137 244 93 274
177 Trenton, NJ 43 327 215 156
178 Olympia, WA 70 209 155 292
179 Vallejo, CA 150 283 245 112
180 Wenatchee, WA 164 263 206 137
181 Santa Fe, NM 287 131 101 224
182 Clarksville, TN 211 80 189 265
183 Cheyenne, WY 152 78 354 148
184 Victoria, TX 55 217 183 301
185 Oshkosh, WI 322 29 253 167
186 Jefferson, MO 250 190 297 85
187 Colorado Springs, CO 69 192 94 343
188 Cedar Rapids, IA 165 292 270 88
189 Cleveland, TN 72 191 282 228
190 Davenport, IA 117 329 132 176
191 San Diego, CA 207 358 30 133
192 Scranton, PA 249 153 81 287
193 Canton, OH 254 281 104 161
194 Terre Haute, IN 247 335 158 57
195 Fayetteville, NC 184 119 249 237
196 Modesto, CA 186 120 224 250
197 Midland, TX 134 202 281 196
198 York, PA 166 148 149 308
199 Owensboro, KY 146 320 226 122
200 Chico, CA 159 113 309 218
201 Minneapolis, MN 50 322 160 248
202 Florence, AL 326 208 153 123
203 Sebastian, FL 312 216 229 101
204 Texarkana, TX 172 158 243 243
205 Hickory, NC 59 330 150 252
206 Fort Smith, AR 44 253 310 241
207 Portland, ME 316 291 108 126
208 Sheboygan, WI 280 90 287 183
209 Bend, OR 108 114 275 320
210 Lebanon, PA 202 87 194 324
211 Athens, GA 237 118 315 162
212 Johnson, TN 216 251 257 138
213 Erie, PA 135 271 199 233
214 Pittsburgh, PA 335 274 17 263
215 Greenville, NC 271 212 295 110
216 Longview, TX 81 307 178 266
217 Gainesville, FL 181 109 288 271
218 Holland, MI 190 230 327 124
219 Seattle, WA 133 337 41 307
220 Harrisonburg, VA 223 22 305 312
221 Palm Coast, FL 299 227 54 278
222 Alexandria, LA 116 219 294 242
223 Dubuque, IA 241 257 326 78
224 Pittsfield, MA 361 65 147 185
225 Riverside, CA 279 88 151 318
226 Flagstaff, AZ 210 218 250 198
227 Sandusky, OH 239 122 264 252
228 Pocatello, ID 151 233 283 216
229 Napa, CA 124 316 262 174
230 Dothan, AL 185 173 230 282
231 Bloomington, IL 240 10 325 328
232 Idaho Falls, ID 292 167 211 220
233 New York, NY 171 362 128 117
234 Bremerton, WA 228 238 135 277
235 Wausau, WI 278 210 234 182
236 Fond du Lac, WI 199 139 240 290
237 Huntington, WV 195 296 154 223
238 Medford, OR 253 84 349 189
239 Blacksburg, VA 337 123 343 75
240 Michigan City, IN 298 280 110 216
241 Yakima, WA 319 103 319 149
242 Great Falls, MT 263 105 252 283
243 Appleton, WI 297 140 340 130
244 Rochester, MN 88 225 359 195
245 Williamsport, PA 288 161 140 305
246 Myrtle Beach, SC 206 256 278 188
247 Oxnard, CA 157 290 276 201
248 Jacksonville, NC 320 98 274 230
249 La Crosse, WI 261 136 328 201
250 Eau Claire, WI 332 129 268 194
251 Bloomington, IN 296 199 284 177
252 Monroe, LA 306 239 324 104
253 Boston, MA 110 318 220 270
254 Sumter, SC 214 117 334 254
255 Bangor, ME 301 201 300 158
256 Anderson, IN 161 341 134 261
257 Charlottesville, VA 238 86 231 341
258 Elkhart, IN 71 294 279 289
259 Evansville, IN 170 314 138 294
260 Glens Falls, NY 341 180 109 276
261 Burlington, VT 251 237 217 254
262 Odessa, TX 189 235 301 231
263 Florence, SC 305 249 259 174
264 Battle Creek, MI 83 303 318 243
265 Anniston, AL 225 234 304 212
266 Farmington, NM 291 302 127 236
267 Springfield, OH 265 284 296 147
268 Rocky Mount, NC 256 176 302 251
269 Bakersfield, CA 344 64 205 303
270 Killeen, TX 168 298 258 259
271 Waterloo, IA 283 338 208 136
272 Casper, WY 255 171 333 222
273 Lawton, OK 205 301 260 220
274 Anchorage, AK 212 267 320 191
275 Decatur, IL 328 344 95 167
276 Yuba, CA 243 67 271 347
277 College Station, TX 215 231 335 208
278 Monroe, MI 194 295 145 327
279 Vineland, NJ 252 76 137 361
280 Prescott, AZ 248 198 286 281
281 San Luis Obispo, CA 217 297 273 218
282 St. George, UT 275 194 267 283
283 Lewiston, ID 235 104 329 313
284 Hot Springs, AR 224 332 228 206
285 St. Cloud, MN 329 41 332 287
286 Kokomo, IN 281 350 91 246
287 Pine Bluff, AR 293 181 323 224
288 Fort Collins, CO 201 162 171 352
289 Parkersburg, WV 307 285 58 332
290 Madera, CA 338 34 313 316
291 Saginaw, MI 183 345 311 149
292 Stockton, CA 284 246 148 326
293 Valdosta, GA 203 245 356 197
294 Hinesville, GA 175 155 317 333
295 Dalton, GA 209 157 337 299
296 Lincoln, NE 276 223 168 337
297 Lafayette, IN 317 287 247 205
298 Madison, WI 236 273 272 280
299 Grand Forks, ND 358 193 236 200
300 Jackson, MI 229 287 254 302
301 San Francisco, CA 141 359 212 269
302 Ann Arbor, MI 177 240 152 357
303 Mansfield, OH 333 317 175 224
304 Kingsport, TN 313 308 113 325
305 Santa Cruz, CA 107 360 244 274
306 Bismarck, ND 274 213 361 193
307 Charleston, WV 285 336 143 300
308 El Paso, TX 347 185 237 283
309 Santa Barbara, CA 232 355 174 261
310 Danville, IL 156 346 248 308
311 Fairbanks, AK 257 204 364 214
312 Elmira, NY 323 306 219 257
313 Los Angeles, CA 262 365 117 239
314 Hanford, CA 342 169 263 318
315 Bridgeport, CT 82 356 303 298
316 Ocala, FL 267 324 227 310
317 Merced, CA 354 72 316 322
318 Champaign, IL 308 242 314 290
319 Lima, OH 242 325 345 213
320 Houma, LA 109 328 163 360
321 Muskegon, MI 98 348 362 232
322 Iowa, IA 336 47 293 353
323 Fresno, CA 331 160 290 334
324 Cumberland, MD 355 248 181 311
325 Wheeling, WV 324 334 142 313
326 Ogden, UT 340 247 289 296
327 Logan, UT 330 107 344 340
328 Muncie, IN 349 286 347 170
329 Youngstown, OH 302 340 235 304
330 Columbia, MO 310 99 292 359
331 Visalia, CA 348 62 358 337
332 Flint, MI 230 320 346 294
333 Mankato, MN 350 115 363 268
334 Punta Gorda, FL 303 275 298 335
335 Morristown, TN 93 326 280 361
336 Albany, GA 315 250 355 316
337 Duluth, MN 363 312 200 258
338 Missoula, MT 356 252 239 330
339 Ocean, NJ 325 363 191 247
340 Washington, DC 139 282 366 336
341 Honolulu, HI 311 366 336 101
342 Gadsden, AL 192 351 266 344
343 Salinas, CA 351 343 188 296
344 Bay, MI 260 352 269 331
345 Morgantown, WV 353 240 341 279
346 Corvallis, OR 314 186 339 350
347 Danville, VA 327 349 255 313
348 Fargo, ND 352 221 265 348
349 State College, PA 357 42 351 354
350 Manhattan, KS 321 242 350 342
351 Lawrence, KS 309 228 277 363
352 San Jose, CA 334 364 225 272
353 Steubenville, OH 343 357 182 321
354 Lake Havasu, AZ 300 289 353 346
355 Provo, UT 339 187 308 364
356 Ithaca, NY 289 134 357 365
357 El Centro, CA 365 184 342 339
358 Barnstable, MA 359 361 233 306
359 Laredo, TX 362 124 331 355
360 Johnstown, PA 345 354 251 345
361 Ames, IA 364 268 321 349
362 Yuma, AZ 346 322 365 323
363 Brownsville, TX 366 270 299 351
364 Altoona, PA 318 353 306 358
365 Boulder, CO 233 333 352 366
366 McAllen, TX 360 299 312 356

Metro_Most_Least_Resemble_US_082714-3

 

U.S. Snapshot

US-Snapshot

Socio-Demographic Stats

  1. Gender
    1. % of Female Population: 50.80%
    2. % of Male Population: 49.20%
  2. Age:
    1. % of Population younger than 19 years: 26.50%
    2. % of Population between 20 and 24 years: 7.10%
    3. % of Population between 25 and 34 years: 13.40%
    4. % of Population between 35 and 44 years: 13.00%
    5. % of Population between 45 and 54 years: 14.30%
    6. % of Population between 55 and 64 years: 12.20%
    7. % of Population 65 years and older: 13.40%
  3. Race:
    1. % of White Population: 74.04%
    2. % of Hispanic Population: 16.64%
    3. % of Black or African American Population: 12.58%
    4. % of American Indian or Alaskan Population: 0.82%
    5. % of Asian Population: 4.86%
    6. % of Native Hawaiian or Other Pacific Population: 0.17%
    7. % of Other Population: 4.73%
  4. Household Makeup:
    1. % of Family Households (Families): 66.20%
    2. % of Family Households (Families) with Own Children Younger than 18 Years: 29.40%
    3. % of Married-Couple Families: 48.40%
    4. % of Married-Couple Families with Own Children Younger than 18 Years: 19.70%
    5. % of Female Householder (no Spouse Present): 13.10%
    6. % of Female Householder (no Spouse Present) with Own Children Younger than 18 Years: 7.40%
    7. % of Non-Family Households: 33.80%
    8. % of Non-Family Households with Householder Living Alone: 27.60%
    9. % of Non-Family Households with Householder 65 years and Older: 9.70%
    10. % of Households with Individuals Younger than 18 Years: 32.80%
    11. % of Households with Individuals 65 Years and Older: 25.30%
    12. Average Household Size: 2.63
  5. Family Relationship:
    1. % of Population in Households: 97.42%
    2. % of Population who Are Householders: 38.00%
    3. % of Population who Are Spouses (in Households): 18.40%
    4. % of Population who Are Children (in Households): 30.60%
    5. % of Population Represented by Other Relatives (in Households): 7.20%
    6. % of Population Represented by Nonrelatives (in Households): 5.80%
    7. % of Population Represented by Nonrelatives – Unmarried Partner (in Households): 2.30%
  6. % of Foreign-Born Population: 13.0%
  7. % of Population with Health Insurance Coverage: 84.9%

Housing Stats

  1. Housing Tenure (Rent to Own Ratio): 54.6%
  2. Median House Price: $174,600
  3. Median Monthly Owner Costs: $1,115
  4. Vacancy Rate: 12.8%
  5. Average Home Square Footage: 1,773 square feets

Economic Stats

  1. % of Population with the Household Income between Different Income Levels:
    1. Less than $25,000 : 24.10%
    2. $25,000 – 34,999: 10.50%
    3. $35,000 – 49,999: 13.70%
    4. $50,000 – $74,999: 18.10%
    5. $75,000 – $99,999: 11.90%
    6. $100,000 – $149,999: 12.50%
    7. $150,000 and over: 9.10%
  2. % of Households Below Poverty Line: 11.6%
  3. Wealth Gap: 15.66
  4. % of Households Receiving Food Stamps: 12.82%
  5. Number of Part-Time Employees for Every 100 Full-Time Employees: 60.8
  6. Unemployment Rate: 6.5%
  7. Commute Time: 25.5 minutes
  8. Length of Average Workday: 7.68 hours
  9. Civilian Employed Population 16 Years and Older by Industry:
    1. Agriculture, Forestry, Fishing and Hunting, and Mining: 1.90%
    2. Construction: 6.20%
    3. Manufacturing: 10.40%
    4. Wholesale Trade: 2.80%
    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: 10.70%
    10. Educational Services, and Health Care and Social Assistance: 23.20%
    11. Arts, Entertainment, and Recreation, and Accommodation and Food Services: 9.40%
    12. Other Services, except Public Administration: 5.00%
    13. Public Administration: 5.00%

Education Stats

  1. % of People (25+) with a Bachelor’s Degree of Higher: 28.70%
  2. % of People (25+) with Some College Experience or Associate's Degree: 29.10%
  3. % of People (25+) that Are High School Graduates: 28.30%
  4. % of People (25+) that Did Not Complete High School: 14.10%
  5. % of Population 3 Years and Older Enrolled in School: 27.64%

Methodology

To determine which cities mirror the United States more than others, WalletHub examined each of the 366 largest metropolitan areas in the U.S. across four key dimensions. Namely, they are socio-demographic stats, housing, economic stats and education. All dimensions were weighted equally with the exception of “Housing,” which received a smaller weight. We then identified 26 metrics that were relevant to those dimensions. They range from age and gender to household makeup and housing tenure.

For each metric, we assigned either a full weight, half weight or a quarter weight. The combined weights of all the metrics under each dimension add up to that dimension’s total weight. For the “Education” category, for instance, the total weight is 5, and it has five metrics that all received a full weight. As a result, the weight of each metric is 1.

Socio - Demographic Stats – Total Weight: 5

  1. Gender – Ratio of Female to Male: Full Weight 0.8333
  2. Age: Full Weight 0.8333
    1. % of Population Younger than 19 years
    2. % of Population between 20 and 24 years
    3. % of Population between 25 and 34 years
    4. % of Population between 35 and 44 years
    5. % of Population between 45 and 54 years
    6. % of Population between 55 and 64 years
    7. % of Population 65 Years and Older
  3. Race: Full Weight 0.8333
    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 0.8333
    1. % of Family Households (Families)
    2. % of Family Households (Families) with Own Children Younger than 18 Years
    3. % of Married-Couple Families
    4. % of Married-Couple Families with Own Children Younger than 18 Years
    5. % of Female Householder (no Spouse Present)
    6. % of Female householder (no Spouse Present) with Own Children Younger than 18 Years
    7. % of Non-Family Households
    8. % of Non-Family Households with Householder Living Alone
    9. % of Non-Family Households with Householder 65 years and Older
    10. % of Households with Individuals Younger than 18 Years
    11. % of Households with Individuals 65 Years and Older
    12. Average Household Size
  5. Family Relationship: Full Weight 0.8333
    1. % of Population in Households
    2. % of Population who Are Householders
    3. % of Population who Are Spouses (in Households)
    4. % of Population who Are Children (in Households)
    5. % of Population Represented by Other Relatives (in Households)
    6. % of Population Represented by Nonrelatives (in Households)
    7. % of Population Represented by Nonrelatives – Unmarried Partner (in Households)
  6. % of Foreign-Born Population: Half Weight 0.4166
  7. % of Population with Health Insurance Coverage: Half Weight 0.4166

Housing – Total Weight: 4

  1. Housing Tenure (Rent to Own Ratio): Full Weight 0.8888
  2. Median House Price: Full Weight 0.8888
  3. Median Monthly Owner Costs: Full Weight 0.8888
  4. Vacancy Rate: Half Weight 0.4444
  5. Average Home Square Footage: Full Weight 0.8888

Economic Stats – Total Weight: 5

  1. % of Population with the Household Income between Different Income Levels: 1 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 and over
  2. % of Households Below Poverty Line: 0.5 Half Weight
  3. Wealth Gap: 0.5 Half Weight
  4. % of Households Receiving Food Stamps: 0.5 Half Weight
  5. Number of Part-Time Employees for Every 100 Full-Time Employees: 0.5 Half Weight
  6. Unemployment Rate: 0.5 Half Weight
  7. Commute Time: 0.25 Quarter Weight
  8. Length of Average Workday: 0.25 Quarter Weight
  9. Civilian Employed Population 16 Years and Older by Industry: 1 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 – Total Weight: 5

  1. % of People (25+) with a Bachelor’s Degree of Higher: 1 Full Weight
  2. % of People (25+) with Some College Experience or Associate's Degree: 1 Full Weight
  3. % of People (25+) that Are High School Graduates: 1 Full Weight
  4. % of People (25+) that Did Not Complete High School: 1 Full Weight
  5. % of Population 3 Years and Older Enrolled in School: 1 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 financial writer at WalletHub. He graduated with a Bachelor of Journalism and a minor in business from the University of Missouri-Columbia. Previously, Richie was a journalism…
854 Wallet Points
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.
Aug 29, 2014  •  Reply  •  Flag
Lovely work; a clinic in 'statistics can be both fun and useful.' The graphics and charting choices are also spot on.

Thanks.
Aug 29, 2014  •  Reply  •  Flag