low-car comparative

8/8/2019 low-car comparative

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C08014. SEX OF WORKERS BY VEHICLES AVAILABLE - Universe: WORKERS 16 YEARS A

Data Set: 2006-2008 American Community Survey 3-Year Estimates

Survey: American Community Survey

NOTE. Although the American Co For information on confidentiality protection, sampling error, n

Phoenix ciLos Angeles city, CaSan Diego city, Calif San Franc

Estimate Estimate Estimate Estimate

Total: 688,090 ### 590,456 429,927

No vehicle available 28,320 128,931 18,121 81,172

1 vehicle available 176,185 495,965 137,536 161,372

2 vehicles available 298,157 650,101 257,290 124,389

3 or more vehicles available 185,428 448,607 177,509 62,994

Male: 395,696 967,159 329,534 234,881





Female: 292,394 756,445 260,922 195,046





Source: U.S. Census Bureau, 2006-2008 American Community Survey


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Workers include members of the Armed Forces and civilians who were at work last week.

While the 2008 American Community Survey (ACS) data generally reflect the November 2007 O

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of

Data are based on a sample andare subject to samplingvariability. The degree ofuncertainty for an estimatearising from sampling variability isrepresented through the use of amargin of error. The value shownhere is the 90 percent margin oferror. The margin of error can be

interpreted roughly as providing a90 percent probability that theinterval defined by the estimateminus the margin of error and theestimate plus the margin of error(the lower and upper confidencebounds) contains the true value.In addition to sampling variability,the ACS estimates are subject tononsampling error (for adiscussion of nonsamplingvariability, see

Accuracy of the Data). The effectof nonsampling error is notrepresented in these tables.


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C08201. HOUSEHOLD SIZE BY VEHICLES AVAILABLE - Universe: HOUSEHOLDS





Estimate Estimate Estimate EstimateTotal: 484,796 ### 464,564 323,028




3 or more vehicles available: 76,147 192,856 85,126 22,724

1-person household: 138,528 385,843 139,548 137,766




3 or more vehicles available 3,386 7,581 2,942 1,6522-person household: 139,704 348,425 151,033 97,263

appropriate.2. An '-' entry in the estimatecolumn indicates that either nosample observations or too fewsample observations wereavailable to compute an estimate,

or a ratio of medians cannot becalculated because one or bothof the median estimates falls inthe lowest interval or upperinterval of an open-endeddistribution.3. An '-' following a medianestimate means the median fallsin the lowest interval of an open-ended distribution.4. An '+' following a medianestimate means the median falls

in the upper interval of an open-ended distribution.5. An '***' entry in the margin oferror column indicates that themedian falls in the lowest intervalor upper interval of an open-ended distribution. A statisticaltest is not appropriate.6. An '*****' entry in the margin oferror column indicates that theestimate is controlled. Astatistical test for sampling

variability is not appropriate.


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3-person household: 72,802 197,898 69,652 40,783





4-or-more-person household: 133,762 343,368 104,331 47,216





C08203. NUMBER OF WORKERS IN HOUSEHOLD BY VEHICLES AVAILABLE - Universe: H






Total: 352,362 ### 464,564 323,028





No workers: 90,847 287,019 102,430 82,334





1 worker: 219,334 544,062 195,997 137,245





2 workers: 138,920 337,302 135,100 83,261





3 or more workers: 35,695 107,151 31,037 20,188

No vehicle available 1,182 7,157 543 2,854



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low-car 70,141 266,387 0 56,850 0 134,174

19.91% 20.88% #DIV/0! 12.24% #DIV/0! 41.54%

some-car 30,558 104,344 22,499 39,293

17.50% 23.48% 13.54% 37.98%

B25045. TENURE BY VEHICLES AVAILABLE BY AGE OF HOUSEHOLDER - Universe: OCC






Total: 484,796 ### 464,564 323,028

Owner occupied: 297,041 502,035 232,204 125,733

No vehicle available: 7,430 16,889 6,460 12,126

Householder 15 to 34 years 754 693 488 787

Householder 35 to 64 years 3,607 5,359 2,115 3,843

Householder 65 years and over 3,069 10,837 3,857 7,496





Renter occupied: 187,755 773,499 232,360 197,295

No vehicle available: 32,153 145,154 27,891 82,755








Source: U.S. Census Bureau, 2006-2008 American Community Survey


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While the 2008 American Community Survey (ACS) data generally reflect the November 2007 O

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of

Data are based on a sample andare subject to samplingvariability. The degree ofuncertainty for an estimatearising from sampling variability isrepresented through the use of amargin of error. The value shownhere is the 90 percent margin oferror. The margin of error can be

interpreted roughly as providing a90 percent probability that theinterval defined by the estimateminus the margin of error and theestimate plus the margin of error(the lower and upper confidencebounds) contains the true value.In addition to sampling variability,the ACS estimates are subject tononsampling error (for adiscussion of nonsamplingvariability, see

Accuracy of the Data). The effectof nonsampling error is notrepresented in these tables.


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appropriate.2. An '-' entry in the estimatecolumn indicates that either nosample observations or too fewsample observations wereavailable to compute an estimate,

or a ratio of medians cannot becalculated because one or bothof the median estimates falls inthe lowest interval or upperinterval of an open-endeddistribution.3. An '-' following a medianestimate means the median fallsin the lowest interval of an open-ended distribution.4. An '+' following a medianestimate means the median falls

in the upper interval of an open-ended distribution.5. An '***' entry in the margin oferror column indicates that themedian falls in the lowest intervalor upper interval of an open-ended distribution. A statisticaltest is not appropriate.6. An '*****' entry in the margin oferror column indicates that theestimate is controlled. Astatistical test for sampling

variability is not appropriate.


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D OVER IN HOUSEHOLDS

nsampling error, and definitions, see Survey Methodology.

isco city, San Jose city, CalifoDenver city, ColoradWashington city, DisJacksonville city, Flo


432,579 288,389 282,442 383,773

9,440 17,707 68,615 12,560

71,267 91,741 121,828 100,330

177,075 121,271 69,104 175,263

174,797 57,670 22,895 95,620

250,046 162,125 137,344 199,024

5,429 10,284 31,448 7,149

38,175 46,118 57,640 46,643

105,200 70,691 36,387 93,682

101,242 35,032 11,869 51,550

182,533 126,264 145,098 184,749

4,011 7,423 37,167 5,411

33,092 45,623 64,188 53,687

71,875 50,580 32,717 81,581

73,555 22,638 11,026 44,070


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fice of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical

rban areas defined based on Census 2000 data. Boundaries for urban areas have not been


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Estimate Estimate Estimate Estimate288,750 246,767 250,423 317,346

16,055 32,809 89,010 25,000

80,856 104,815 109,765 120,371

116,614 81,557 41,262 124,196

75,225 27,586 10,386 47,779

63,475 103,688 118,812 94,964

8,690 22,993 54,700 15,108

43,062 68,894 58,211 67,076

9,129 10,012 5,156 11,467

2,594 1,789 745 1,31381,065 73,634 72,200 106,142


11/65

3,947 5,679 18,969 4,925

17,384 19,253 31,109 29,169

46,006 40,746 19,590 60,332

13,728 7,956 2,532 11,716

51,782 27,464 28,070 52,681

1,566 1,863 7,066 1,991

10,104 8,066 10,566 12,482

22,378 11,538 7,661 23,158

17,734 5,997 2,777 15,050

92,428 41,981 31,341 63,559

1,852 2,274 8,275 2,976

10,306 8,602 9,879 11,644

39,101 19,261 8,855 29,239

41,169 11,844 4,332 19,700

USEHOLDS




288,750 246,767 250,423 317,346

16,055 32,809 89,010 25,000

80,856 104,815 109,765 120,371

116,614 81,557 41,262 124,196

75,225 27,586 10,386 47,779

52,688 60,909 65,746 71,240

9,575 18,847 36,625 15,504

23,261 28,319 23,148 34,873

14,926 11,338 4,832 17,622

4,926 2,405 1,141 3,241

115,765 113,853 123,439 136,994

4,744 11,553 43,281 7,607

48,695 65,712 62,914 72,938

43,957 28,826 14,526 45,015

18,369 7,762 2,718 11,434

92,271 61,411 52,630 90,685

1,391 2,024 8,004 1,428

7,605 9,355 21,146 11,491

52,816 38,802 19,345 57,559

30,459 11,230 4,135 20,207

28,026 10,594 8,608 18,427

345 385 1,100 461

1,295 1,429 2,557 1,069


12/65

4,915 2,591 2,559 4,000

21,471 6,189 2,392 12,897

0 29,870 0 46,184 0 115,272 0 41,560 0

#DIV/0! 10.34% #DIV/0! 18.72% #DIV/0! 46.03% #DIV/0! 13.10% #DIV/0!

13,815 13,375 26,262 16,560

11.48% 18.58% 42.89% 15.18%

PIED HOUSING UNITS




288,750 246,767 250,423 317,346

177,240 137,455 111,645 203,434

3,869 5,384 16,761 6,203

273 511 2,004 395

1,528 1,952 8,100 2,423

2,068 2,921 6,657 3,385

173,371 132,071 94,884 197,231

18,645 19,606 12,097 26,362

125,408 86,876 60,067 131,501

29,318 25,589 22,720 39,368

111,510 109,312 138,778 113,912

12,186 27,425 72,249 18,797

2,290 6,552 25,599 5,184

4,701 14,186 34,675 9,258

5,195 6,687 11,975 4,355

99,324 81,887 66,529 95,115

35,428 36,619 28,397 40,317

56,610 38,980 31,983 48,286

7,286 6,288 6,149 6,512


13/65

fice of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical

rban areas defined based on Census 2000 data. Boundaries for urban areas have not been


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Chicago city, Illinois Indianapolis city (balLouisville/Jefferson Baltimore city, Maryl Boston cit

Estimate Estimate Estimate Estimate Estimate

### 372,622 258,457 267,486 301,872

183,055 10,522 11,082 46,498 69,173

473,352 102,663 64,842 98,690 119,448

388,427 162,452 114,329 87,605 82,943

175,132 96,985 68,204 34,693 30,308

645,751 193,086 132,404 125,188 154,341

85,171 5,566 4,343 20,040 34,286

241,653 45,882 28,700 43,194 58,647

217,708 87,803 61,981 44,099 44,666

101,219 53,835 37,380 17,855 16,742

574,215 179,536 126,053 142,298 147,531

97,884 4,956 6,739 26,458 34,887

231,699 56,781 36,142 55,496 60,801

170,719 74,649 52,348 43,506 38,277

73,913 43,150 30,824 16,838 13,566


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areas; in certain instances the names, codes, and boundaries of the principal cities shown in

updated since Census 2000. As a result, data for urban and rural areas from the ACS do not


17/65


Estimate Estimate Estimate Estimate Estimate### 323,552 231,177 235,777 232,000

264,101 25,374 26,387 70,592 80,865

446,025 131,324 86,803 99,625 99,148

234,725 115,585 82,609 51,024 42,141

73,037 51,269 35,378 14,536 9,846

363,934 111,458 76,509 91,606 91,901

149,289 17,003 16,722 36,056 46,096

195,518 79,855 49,582 49,672 43,508

15,897 11,906 8,130 4,870 1,728

3,230 2,694 2,075 1,008 569273,766 101,097 75,437 70,111 69,643


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55,908 4,284 5,015 16,605 19,607

120,892 27,175 20,174 26,228 29,958

87,401 55,350 40,469 23,790 18,922

9,565 14,288 9,779 3,488 1,156

147,992 48,034 36,189 34,962 33,480

25,685 2,195 2,295 8,650 8,267

57,199 12,841 8,821 12,071 13,027

48,206 19,342 14,996 10,081 9,035

16,902 13,656 10,077 4,160 3,151

232,196 62,963 43,042 39,098 36,976

33,219 1,892 2,355 9,281 6,895

72,416 11,453 8,226 11,654 12,655

83,221 28,987 19,014 12,283 12,456

43,340 20,631 13,447 5,880 4,970



### 323,552 231,177 235,777 232,000

264,101 25,374 26,387 70,592 80,865

446,025 131,324 86,803 99,625 99,148

234,725 115,585 82,609 51,024 42,141

73,037 51,269 35,378 14,536 9,846

258,789 78,042 66,668 72,096 61,623

125,319 16,514 17,325 38,191 36,465

103,207 40,461 31,735 26,795 20,831

25,134 16,875 14,273 5,880 3,743

5,129 4,192 3,335 1,230 584

454,862 144,185 92,480 103,036 97,675

112,499 7,731 7,810 25,828 32,242

247,181 81,429 47,228 57,346 53,048

79,843 41,707 28,584 16,462 10,728

15,339 13,318 8,858 3,400 1,657

243,086 85,534 60,593 50,861 57,124

21,594 959 1,100 5,630 9,678

84,627 8,799 7,205 13,600 21,435

110,452 53,697 37,468 25,688 23,052

26,413 22,079 14,820 5,943 2,959

61,151 15,791 11,436 9,784 15,578

4,689 170 152 943 2,480

11,010 635 635 1,884 3,834


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19,296 3,306 2,284 2,994 4,618

26,156 11,680 8,365 3,963 4,646

379,034 0 38,114 0 36,511 0 89,070 0 110,752

37.24% #DIV/0! 11.78% #DIV/0! 15.79% #DIV/0! 37.78% #DIV/0! 47.74%

114,933 12,740 10,124 18,478 29,887

37.78% 12.57% 14.06% 30.47% 41.11%



### 323,552 231,177 235,777 232,000

498,885 194,964 150,258 120,078 88,363

54,966 5,006 6,326 16,469 10,486

5,738 260 392 1,068 1,504

23,296 1,854 2,406 7,211 5,213

25,932 2,892 3,528 8,190 3,769

443,919 189,958 143,932 103,609 77,877

65,327 27,381 17,336 13,025 11,640

289,063 124,308 93,166 67,053 52,365

89,529 38,269 33,430 23,531 13,872

519,003 128,588 80,919 115,699 143,637

209,135 20,368 20,061 54,123 70,379

66,485 4,953 5,362 12,915 25,729

100,382 10,075 10,328 29,222 29,534

42,268 5,340 4,371 11,986 15,116

309,868 108,220 60,858 61,576 73,258

124,739 45,838 24,556 23,501 28,596

160,092 53,703 31,392 32,111 39,184

25,037 8,679 4,910 5,964 5,478


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areas; in certain instances the names, codes, and boundaries of the principal cities shown in

updated since Census 2000. As a result, data for urban and rural areas from the ACS do not


21/65


22/65

, Massac Detroit city, MichiganLas Vegas city, Nev New York city, New Charlotte city, North


252,985 259,481 ### 339,101

23,923 12,562 ### 12,440

98,464 70,682 ### 96,285

86,038 111,067 577,654 153,438

44,560 65,170 212,227 76,938

113,314 145,390 ### 181,108

9,922 7,446 800,835 7,085

38,677 36,428 690,710 43,760

42,085 63,671 319,990 86,323

22,630 37,845 118,426 43,940

139,671 114,091 ### 157,993

14,001 5,116 827,729 5,355

59,787 34,254 583,189 52,525

43,953 47,396 257,664 67,115

21,930 27,325 93,801 32,998


23/65

ACS tables may differ from the OMB definitions due to differences in the effective dates of the

necessarily reflect the results of ongoing urbanization.


24/65


Estimate Estimate Estimate Estimate274,853 207,725 ### 276,244

58,201 18,543 ### 19,931

126,353 81,013 970,758 108,682

66,761 77,748 329,861 105,282

23,538 30,421 88,475 42,349

96,727 54,809 ### 87,829

30,255 10,101 741,098 11,193

54,462 38,232 252,793 65,239

10,093 5,217 18,700 9,182

1,917 1,259 3,623 2,21571,525 67,647 833,196 88,664


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11,901 4,281 430,772 4,067

30,219 23,083 296,159 22,272

24,599 33,747 95,715 51,111

4,806 6,536 10,550 11,214

42,536 32,891 485,561 43,460

6,761 1,798 217,935 2,512

18,058 8,882 171,922 11,557

11,973 14,160 75,207 17,740

5,744 8,051 20,497 11,651

64,065 52,378 697,990 56,291

9,284 2,363 254,062 2,159

23,614 10,816 249,884 9,614

20,096 24,624 140,239 27,249

11,071 14,575 53,805 17,269



274,853 207,725 ### 276,244

58,201 18,543 ### 19,931

126,353 81,013 970,758 108,682

66,761 77,748 329,861 105,282

23,538 30,421 88,475 42,349

112,556 47,027 815,888 48,129

40,132 9,524 586,668 10,224

51,697 24,800 189,118 24,733

16,995 11,193 34,060 10,527

3,732 1,510 6,042 2,645

115,763 86,147 ### 130,617

15,983 6,646 724,825 7,432

62,670 45,020 448,786 72,311

28,709 27,436 108,728 38,921

8,401 7,045 19,957 11,953

39,008 60,067 721,445 83,305

1,810 2,026 270,283 1,877

10,763 9,359 275,204 10,520

18,831 36,334 145,654 52,451

7,604 12,348 30,304 18,457

7,526 14,484 193,332 14,193

276 347 62,091 398

1,223 1,834 57,650 1,118


26/65

2,226 2,785 41,419 3,383

3,801 9,518 32,172 9,294

0 72,413 0 32,521 0 ### 0 34,952 0


14,212 13,978 374,273 15,021

30.54% 18.75% 40.91% 15.41%



274,853 207,725 ### 276,244

150,644 121,941 ### 165,219

15,284 2,775 278,711 3,604

841 215 30,521 224

6,686 1,349 152,051 1,731

7,757 1,211 96,139 1,649

135,360 119,166 753,199 161,615

13,400 14,857 66,916 25,696

86,822 77,526 521,546 110,092

35,138 26,783 164,737 25,827

124,209 85,784 ### 111,025

42,917 15,768 ### 16,327

9,663 4,174 342,418 4,688

25,063 8,045 739,073 8,603

8,191 3,549 283,665 3,036

81,292 70,016 635,895 94,698

28,061 26,449 145,186 43,960

46,321 36,337 421,747 45,361

6,910 7,230 68,962 5,377


27/65

ACS tables may differ from the OMB definitions due to differences in the effective dates of the

necessarily reflect the results of ongoing urbanization.


28/65


29/65

Columbus city, Ohio Portland city, Orego Philadelphia city, Pe Memphis city, TenneAustin city


355,749 279,879 559,831 274,465 398,830

12,138 21,517 110,303 15,008 17,734

111,891 84,986 218,720 93,136 122,310

155,256 114,837 171,189 108,169 180,074

76,464 58,539 59,619 58,152 78,712

185,323 147,708 273,441 136,312 232,711

6,273 11,876 48,395 7,506 11,350

51,834 42,115 103,516 40,424 67,874

84,097 61,518 89,346 56,195 105,936

43,119 32,199 32,184 32,187 47,551

170,426 132,171 286,390 138,153 166,119

5,865 9,641 61,908 7,502 6,384

60,057 42,871 115,204 52,712 54,436

71,159 53,319 81,843 51,974 74,138

33,345 26,340 27,435 25,965 31,161


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geographic entities. The 2008 Puerto Rico Community Survey (PRCS) data generally reflect


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Estimate Estimate Estimate Estimate Estimate306,338 236,212 563,837 249,122 303,355

31,098 35,119 191,729 32,149 22,618

133,765 94,059 237,592 111,551 129,082

104,802 76,978 107,504 75,890 114,686

36,673 30,056 27,012 29,532 36,969

111,299 87,566 223,952 87,194 108,243

19,952 24,561 105,477 16,294 12,155

79,812 54,239 106,478 59,952 84,807

9,531 7,250 9,778 9,528 9,807

2,004 1,516 2,219 1,420 1,47495,689 79,820 155,630 73,265 92,259


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5,290 6,630 41,503 6,526 4,716

28,711 25,297 68,620 23,883 22,578

51,964 38,709 41,152 35,615 56,964

9,724 9,184 4,355 7,241 8,001

45,293 32,433 80,392 40,481 42,184

2,948 2,483 19,942 4,188 2,655

13,102 8,441 30,255 13,780 10,528

18,481 13,602 22,627 14,064 18,558

10,762 7,907 7,568 8,449 10,443

54,057 36,393 103,863 48,182 60,669

2,908 1,445 24,807 5,141 3,092

12,140 6,082 32,239 13,936 11,169

24,826 17,417 33,947 16,683 29,357

14,183 11,449 12,870 12,422 17,051



306,338 236,212 563,837 249,122 303,355

31,098 35,119 191,729 32,149 22,618

133,765 94,059 237,592 111,551 129,082

104,802 76,978 107,504 75,890 114,686

36,673 30,056 27,012 29,532 36,969

73,244 56,859 195,394 67,258 50,758

20,525 18,563 105,449 20,402 10,003

37,387 26,119 74,505 33,752 28,248

12,674 9,871 13,113 10,709 9,955

2,658 2,306 2,327 2,395 2,552

135,817 101,423 239,122 115,130 146,141

9,325 13,191 71,611 9,737 9,629

83,730 53,999 123,538 67,185 86,708

35,028 26,016 37,778 30,252 41,240

7,734 8,217 6,195 7,956 8,564

83,535 65,468 105,245 56,455 87,427

1,221 2,710 13,000 1,736 2,034

11,759 12,389 34,647 9,434 12,249

54,445 37,587 48,221 32,490 58,422

16,110 12,782 9,377 12,795 14,722

13,742 12,462 24,076 10,279 19,029

27 655 1,669 274 952

889 1,552 4,902 1,180 1,877


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2,655 3,504 8,392 2,439 5,069

10,171 6,751 9,113 6,386 11,131

46,401 0 52,564 0 239,670 0 45,202 0 41,813

15.15% #DIV/0! 22.25% #DIV/0! 42.51% #DIV/0! 18.14% #DIV/0! 13.78%

15,303 17,445 47,941 13,053 19,195

15.73% 22.39% 37.07% 19.56% 18.03%



306,338 236,212 563,837 249,122 303,355

155,001 136,259 322,249 135,824 142,233

4,659 5,358 70,713 7,733 3,059

226 391 5,504 237 308

1,490 2,312 35,915 3,516 1,359

2,943 2,655 29,294 3,980 1,392

150,342 130,901 251,536 128,091 139,174

27,746 15,901 29,141 14,725 22,043

96,367 93,053 166,308 85,496 95,789

26,229 21,947 56,087 27,870 21,342

151,337 99,953 241,588 113,298 161,122

26,439 29,761 121,016 24,416 19,559

8,368 8,355 38,891 7,265 7,380

12,310 14,342 58,081 12,085 9,750

5,761 7,064 24,044 5,066 2,429

124,898 70,192 120,572 88,882 141,563

63,618 30,090 44,894 37,928 81,909

54,040 34,679 63,182 44,844 54,898

7,240 5,423 12,496 6,110 4,756


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geographic entities. The 2008 Puerto Rico Community Survey (PRCS) data generally reflect


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, Texas Dallas city, Texas El Paso city, Texas Fort Worth city, Tex Houston city, Texas


569,547 237,532 296,931 951,100

27,729 8,388 7,574 51,099

186,215 55,484 71,638 312,311

237,152 99,591 138,275 386,470

118,451 74,069 79,444 201,220

337,625 129,395 168,694 545,172

14,864 3,871 3,779 28,653

102,024 27,408 36,226 168,797

146,342 56,580 81,204 228,449

74,395 41,536 47,485 119,273

231,922 108,137 128,237 405,928

12,865 4,517 3,795 22,446

84,191 28,076 35,412 143,514

90,810 43,011 57,071 158,021

44,056 32,533 31,959 81,947


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the November 2007 Office of Management and Budget (OMB) definitions of metropolitan and


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Estimate Estimate Estimate Estimate446,115 197,935 229,110 747,523

45,328 19,242 15,940 75,980

198,884 68,860 84,107 328,285

148,284 73,836 92,275 253,973

53,619 35,997 36,788 89,285

155,687 43,044 65,015 241,071

25,012 10,122 9,005 38,812

115,575 26,814 46,562 177,405

12,831 5,314 8,116 21,666

2,269 794 1,332 3,188121,221 54,200 66,219 213,301


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8,449 3,755 3,520 17,276

34,984 17,938 17,030 67,385

66,205 26,641 38,249 111,768

11,583 5,866 7,420 16,872

62,785 37,229 34,837 113,200

5,690 2,212 1,443 8,148

20,789 10,449 8,644 35,898

23,900 15,054 15,904 44,730

12,406 9,514 8,846 24,424

106,422 63,462 63,039 179,951

6,177 3,153 1,972 11,744

27,536 13,659 11,871 47,597

45,348 26,827 30,006 75,809

27,361 19,823 19,190 44,801



446,115 197,935 229,110 747,523

45,328 19,242 15,940 75,980

198,884 68,860 84,107 328,285

148,284 73,836 92,275 253,973

53,619 35,997 36,788 89,285

91,347 49,858 46,748 147,408

24,367 12,449 9,889 37,690

46,225 22,762 23,608 74,951

16,781 12,066 10,955 29,764

3,974 2,581 2,296 5,003

221,663 83,551 103,018 368,061

17,471 5,742 5,118 31,076

132,354 38,808 52,993 213,903

56,942 29,969 35,212 100,492

14,896 9,032 9,695 22,590

108,803 51,971 65,840 188,303

2,718 862 899 5,928

18,037 6,678 6,786 34,906

66,797 29,077 42,995 111,824

21,251 15,354 15,160 35,645

24,302 12,555 13,504 43,751

772 189 34 1,286

2,268 612 720 4,525


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7,764 2,724 3,113 11,893

13,498 9,030 9,637 26,047

0 73,397 0 29,256 0 26,559 0 127,304 0


28,069 10,014 10,619 51,324

21.09% 15.52% 13.38% 22.12%



446,115 197,935 229,110 747,523

210,110 123,682 136,299 350,751

6,611 5,534 3,725 11,552

342 317 220 704

2,842 1,672 1,521 4,256

3,427 3,545 1,984 6,592

203,499 118,148 132,574 339,199

24,956 13,047 23,699 38,975

134,338 77,890 84,722 226,770

44,205 27,211 24,153 73,454

236,005 74,253 92,811 396,772

38,717 13,708 12,215 64,428

11,343 3,154 4,030 20,738

20,266 5,450 5,717 31,587

7,108 5,104 2,468 12,103

197,288 60,545 80,596 332,344

90,316 25,250 36,568 142,323

97,601 30,018 39,210 171,378

9,371 5,277 4,818 18,643


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the November 2007 Office of Management and Budget (OMB) definitions of metropolitan and


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San Antonio city, Te Seattle city, Washin Milwaukee city, Wisconsin

Estimate Estimate Estimate

558,242 319,181 251,402

22,730 25,966 22,272

146,616 108,805 83,968

237,305 124,557 101,777

151,591 59,853 43,385

300,471 170,552 124,822

12,177 13,705 9,147

71,552 53,549 36,759

131,672 69,822 54,087

85,070 33,476 24,829

257,771 148,629 126,580

10,553 12,261 13,125

75,064 55,256 47,209

105,633 54,735 47,690

66,521 26,377 18,556


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micropolitan statistical areas; in certain instances the names, codes, and boundaries of the p


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Estimate Estimate Estimate443,840 265,259 221,808

42,847 40,636 39,464

171,842 113,216 97,289

161,066 81,905 64,759

68,085 29,502 20,296

129,979 115,289 78,812

24,357 30,837 21,278

90,628 73,135 49,691

12,569 9,155 6,207

2,425 2,162 1,636127,169 84,411 62,491


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7,935 6,229 8,110

37,640 27,516 21,998

69,032 41,543 28,083

12,562 9,123 4,300

73,743 33,112 34,066

4,665 2,186 4,883

20,848 7,774 11,520

29,653 15,597 12,207

18,577 7,555 5,456

112,949 32,447 46,439

5,890 1,384 5,193

22,726 4,791 14,080

49,812 15,610 18,262

34,521 10,662 8,904



443,840 265,259 221,808

42,847 40,636 39,464

171,842 113,216 97,289

161,066 81,905 64,759

68,085 29,502 20,296

107,434 58,803 59,321

25,667 19,346 22,322

53,841 26,444 28,223

23,009 10,218 7,497

4,917 2,795 1,279

188,208 121,625 101,492

14,232 18,007 14,543

98,592 68,823 59,086

59,265 27,420 22,385

16,119 7,375 5,478

121,989 72,745 50,500

2,530 2,873 1,997

17,571 16,614 8,841

73,163 40,905 31,864

28,725 12,353 7,798

26,209 12,086 10,495

418 410 602

1,838 1,335 1,139


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5,629 3,362 3,013

18,324 6,979 5,741

67,885 0 61,947 0 52,457

15.29% #DIV/0! 23.35% #DIV/0! 23.65%

25,038 21,311 12,993

16.89% 25.12% 21.30%



443,840 265,259 221,808

264,842 136,748 107,308

10,770 4,826 6,131

602 415 291

3,736 2,138 2,165

6,432 2,273 3,675

254,072 131,922 101,177

33,039 16,510 13,689

164,873 91,917 67,134

56,160 23,495 20,354

178,998 128,511 114,500

32,077 35,810 33,333

10,273 10,168 9,899

14,171 17,307 17,526

7,633 8,335 5,908

146,921 92,701 81,167

66,236 43,934 36,977

71,300 41,614 38,251

9,385 7,153 5,939


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micropolitan statistical areas; in certain instances the names, codes, and boundaries of the p


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incipal cities shown in PRCS tables may differ from the OMB definitions due to differences in


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incipal cities shown in PRCS tables may differ from the OMB definitions due to differences in


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he effective dates of the geographic entities.


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he effective dates of the geographic entities.


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low-car households low-car % some-car %

Austin city, Texas 41,813 13.78% 18.03%

Houston city, Texas 127,304 17.03% 22.12%

Phoenix city, Arizona 70,141 14.47% 17.50%

Washington city, District of Columbia 115,272 46.03% 42.89%

Chicago city, Illinois 379,034 37.24% 37.78%

Los Angeles city, California 266,387 20.88% 23.48%

Dallas city, Texas 73,397 16.45% 21.09%

Las Vegas city, Nevada 32,521 15.66% 18.75%

Charlotte city, North Carolina 34,952 12.65% 15.41%

San Francisco city, California 134,174 41.54% 37.98%

Detroit city, Michigan 72,413 26.35% 30.54%

Seattle city, Washington 61,947 23.35% 25.12%

Fort Worth city, Texas 26,559 11.59% 13.38%

Boston city, Massachusetts 110,752 47.74% 41.11%

Portland city, Oregon 52,564 22.25% 22.39%

Jacksonville city, Florida 41,560 13.10% 15.18%

San Diego city, California 56,850 12.24% 13.54%

San Jose city, California 29,870 10.34% 11.48%

Memphis city, Tennessee 45,202 18.14% 19.56%

San Antonio city, Texas 67,885 15.29% 16.89%

Columbus city, Ohio 46,401 15.15% 15.73%

El Paso city, Texas 29,256 14.78% 15.52%

Indianapolis city (balance), Indiana 38,114 11.78% 12.57%

New York city, New York 2,018,140 66.54% 40.91%

Philadelphia city, Pennsylvania 239,670 42.51% 37.07%

Baltimore city, Maryland 89,070 37.78% 30.47%

Milwaukee city, Wisconsin 52,457 23.65% 21.30%

Denver city, Colorado 46,184 18.72% 18.58%

Louisville/Jefferson County metro governmen 36,511 15.79% 14.06%


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low-car rank some-car rank difference

23 18 5

15 12 3

22 19 3

3 1 2

7 5 2

12 10 2

16 14 2

18 16 2

25 23 2

5 4 1

8 7 1

10 9 1

28 27 1

2 2 0

11 11 0

24 24 0

26 26 0

29 29 0

14 15 -1

19 20 -1

20 21 -1

21 22 -1

27 28 -1

1 3 -2

4 6 -2

6 8 -2

9 13 -4

13 17 -4

17 25 -8

low-car comparative

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