Upload
michael-andersen
View
214
Download
0
Embed Size (px)
Citation preview
8/8/2019 low-car comparative
1/65
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
No vehicle available 16,629 77,570 10,612 45,541
1 vehicle available 95,946 263,153 70,748 85,284
2 vehicles available 174,716 369,371 145,420 68,500
3 or more vehicles available 108,405 257,065 102,754 35,556
Female: 292,394 756,445 260,922 195,046
No vehicle available 11,691 51,361 7,509 35,631
1 vehicle available 80,239 232,812 66,788 76,088
2 vehicles available 123,441 280,730 111,870 55,889
3 or more vehicles available 77,023 191,542 74,755 27,438
Source: U.S. Census Bureau, 2006-2008 American Community Survey
8/8/2019 low-car comparative
2/65
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.
8/8/2019 low-car comparative
3/65
C08201. HOUSEHOLD SIZE BY VEHICLES AVAILABLE - Universe: HOUSEHOLDS
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 EstimateTotal: 484,796 ### 464,564 323,028
No vehicle available 39,583 162,043 34,351 94,881
1 vehicle available 185,019 505,396 166,107 137,870
2 vehicles available 184,047 415,239 178,980 67,553
3 or more vehicles available: 76,147 192,856 85,126 22,724
1-person household: 138,528 385,843 139,548 137,766
No vehicle available 22,010 78,414 20,988 60,856
1 vehicle available 98,538 263,154 100,355 70,473
2 vehicles available 14,594 36,694 15,263 4,785
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.
8/8/2019 low-car comparative
4/65
No vehicle available 7,416 35,031 6,851 21,815
1 vehicle available 39,362 105,739 35,310 41,001
2 vehicles available 77,965 174,609 90,048 30,456
3 or more vehicles available 14,961 33,046 18,824 3,991
3-person household: 72,802 197,898 69,652 40,783
No vehicle available 4,664 18,907 3,271 6,447
1 vehicle available 17,704 55,618 13,947 14,977
2 vehicles available 31,642 77,148 29,067 13,687
3 or more vehicles available 18,792 46,225 23,367 5,672
4-or-more-person household: 133,762 343,368 104,331 47,216
No vehicle available 5,493 29,691 3,241 5,763
1 vehicle available 29,415 80,885 16,495 11,419
2 vehicles available 59,846 126,788 44,602 18,625
3 or more vehicles available 39,008 106,004 39,993 11,409
C08203. NUMBER OF WORKERS IN HOUSEHOLD BY VEHICLES AVAILABLE - Universe: H
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: 352,362 ### 464,564 323,028
No vehicle available 39,583 162,043 34,351 94,881
1 vehicle available 185,019 505,396 166,107 137,870
2 vehicles available 184,047 415,239 178,980 67,553
3 or more vehicles available 76,147 192,856 85,126 22,724
No workers: 90,847 287,019 102,430 82,334
No vehicle available 20,853 80,096 20,571 43,208
1 vehicle available 46,007 137,801 50,383 30,060
2 vehicles available 19,474 53,995 24,896 7,046
3 or more vehicles available 4,513 15,127 6,580 2,020
1 worker: 219,334 544,062 195,997 137,245
No vehicle available 14,435 57,912 10,911 38,247
1 vehicle available 117,120 288,854 98,678 73,953
2 vehicles available 69,101 152,441 65,368 19,937
3 or more vehicles available 18,678 44,855 21,040 5,108
2 workers: 138,920 337,302 135,100 83,261
No vehicle available 3,113 16,878 2,326 10,572
1 vehicle available 19,151 63,368 15,260 29,479
2 vehicles available 86,806 183,200 83,263 35,134
3 or more vehicles available 29,850 73,856 34,251 8,076
3 or more workers: 35,695 107,151 31,037 20,188
No vehicle available 1,182 7,157 543 2,854
1 vehicle available 2,741 15,373 1,786 4,378
8/8/2019 low-car comparative
5/65
2 vehicles available 8,666 25,603 5,453 5,436
3 or more vehicles available 23,106 59,018 23,255 7,520
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
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: 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
1 or more vehicles available: 289,611 485,146 225,744 113,607
Householder 15 to 34 years 47,851 43,290 25,310 8,153
Householder 35 to 64 years 193,584 323,721 146,520 79,886
Householder 65 years and over 48,176 118,135 53,914 25,568
Renter occupied: 187,755 773,499 232,360 197,295
No vehicle available: 32,153 145,154 27,891 82,755
Householder 15 to 34 years 9,586 37,736 6,832 18,905
Householder 35 to 64 years 16,130 68,163 12,112 41,366
Householder 65 years and over 6,437 39,255 8,947 22,484
1 or more vehicles available: 155,602 628,345 204,469 114,540
Householder 15 to 34 years 71,084 217,518 96,982 35,103
Householder 35 to 64 years 76,509 361,712 94,881 69,965
Householder 65 years and over 8,009 49,115 12,606 9,472
Source: U.S. Census Bureau, 2006-2008 American Community Survey
8/8/2019 low-car comparative
6/65
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.
8/8/2019 low-car comparative
7/65
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.
8/8/2019 low-car comparative
8/65
D OVER IN HOUSEHOLDS
nsampling error, and definitions, see Survey Methodology.
isco city, San Jose city, CalifoDenver city, ColoradWashington city, DisJacksonville city, Flo
Estimate Estimate Estimate Estimate
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
8/8/2019 low-car comparative
9/65
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
8/8/2019 low-car comparative
10/65
nsampling error, and definitions, see Survey Methodology.
isco city, San Jose city, CalifoDenver city, ColoradWashington city, DisJacksonville city, Flo
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
8/8/2019 low-car comparative
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
nsampling error, and definitions, see Survey Methodology.
isco city, San Jose city, CalifoDenver city, ColoradWashington city, DisJacksonville city, Flo
Estimate Estimate Estimate Estimate
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
8/8/2019 low-car comparative
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
nsampling error, and definitions, see Survey Methodology.
isco city, San Jose city, CalifoDenver city, ColoradWashington city, DisJacksonville city, Flo
Estimate Estimate Estimate Estimate
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
8/8/2019 low-car comparative
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
8/8/2019 low-car comparative
14/65
8/8/2019 low-car comparative
15/65
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
8/8/2019 low-car comparative
16/65
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
8/8/2019 low-car comparative
17/65
Chicago city, Illinois Indianapolis city (balLouisville/Jefferson Baltimore city, Maryl Boston cit
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
8/8/2019 low-car comparative
18/65
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
Chicago city, Illinois Indianapolis city (balLouisville/Jefferson Baltimore city, Maryl Boston cit
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
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
8/8/2019 low-car comparative
19/65
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%
Chicago city, Illinois Indianapolis city (balLouisville/Jefferson Baltimore city, Maryl Boston cit
Estimate Estimate Estimate Estimate Estimate
### 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
8/8/2019 low-car comparative
20/65
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
8/8/2019 low-car comparative
21/65
8/8/2019 low-car comparative
22/65
, Massac Detroit city, MichiganLas Vegas city, Nev New York city, New Charlotte city, North
Estimate Estimate Estimate Estimate
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
8/8/2019 low-car comparative
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.
8/8/2019 low-car comparative
24/65
, Massac Detroit city, MichiganLas Vegas city, Nev New York city, New Charlotte city, North
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
8/8/2019 low-car comparative
25/65
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
, Massac Detroit city, MichiganLas Vegas city, Nev New York city, New Charlotte city, North
Estimate Estimate Estimate Estimate
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
8/8/2019 low-car comparative
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
#DIV/0! 26.35% #DIV/0! 15.66% #DIV/0! 66.54% #DIV/0! 12.65% #DIV/0!
14,212 13,978 374,273 15,021
30.54% 18.75% 40.91% 15.41%
, Massac Detroit city, MichiganLas Vegas city, Nev New York city, New Charlotte city, North
Estimate Estimate Estimate Estimate
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
8/8/2019 low-car comparative
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.
8/8/2019 low-car comparative
28/65
8/8/2019 low-car comparative
29/65
Columbus city, Ohio Portland city, Orego Philadelphia city, Pe Memphis city, TenneAustin city
Estimate Estimate Estimate Estimate Estimate
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
8/8/2019 low-car comparative
30/65
geographic entities. The 2008 Puerto Rico Community Survey (PRCS) data generally reflect
8/8/2019 low-car comparative
31/65
Columbus city, Ohio Portland city, Orego Philadelphia city, Pe Memphis city, TenneAustin city
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
8/8/2019 low-car comparative
32/65
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
Columbus city, Ohio Portland city, Orego Philadelphia city, Pe Memphis city, TenneAustin city
Estimate Estimate Estimate Estimate Estimate
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
8/8/2019 low-car comparative
33/65
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%
Columbus city, Ohio Portland city, Orego Philadelphia city, Pe Memphis city, TenneAustin city
Estimate Estimate Estimate Estimate Estimate
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
8/8/2019 low-car comparative
34/65
geographic entities. The 2008 Puerto Rico Community Survey (PRCS) data generally reflect
8/8/2019 low-car comparative
35/65
8/8/2019 low-car comparative
36/65
, Texas Dallas city, Texas El Paso city, Texas Fort Worth city, Tex Houston city, Texas
Estimate Estimate Estimate Estimate
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
8/8/2019 low-car comparative
37/65
the November 2007 Office of Management and Budget (OMB) definitions of metropolitan and
8/8/2019 low-car comparative
38/65
, Texas Dallas city, Texas El Paso city, Texas Fort Worth city, Tex Houston city, Texas
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
8/8/2019 low-car comparative
39/65
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
, Texas Dallas city, Texas El Paso city, Texas Fort Worth city, Tex Houston city, Texas
Estimate Estimate Estimate Estimate
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
8/8/2019 low-car comparative
40/65
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
#DIV/0! 16.45% #DIV/0! 14.78% #DIV/0! 11.59% #DIV/0! 17.03% #DIV/0!
28,069 10,014 10,619 51,324
21.09% 15.52% 13.38% 22.12%
, Texas Dallas city, Texas El Paso city, Texas Fort Worth city, Tex Houston city, Texas
Estimate Estimate Estimate Estimate
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
8/8/2019 low-car comparative
41/65
the November 2007 Office of Management and Budget (OMB) definitions of metropolitan and
8/8/2019 low-car comparative
42/65
8/8/2019 low-car comparative
43/65
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
8/8/2019 low-car comparative
44/65
micropolitan statistical areas; in certain instances the names, codes, and boundaries of the p
8/8/2019 low-car comparative
45/65
San Antonio city, Te Seattle city, Washin Milwaukee city, Wisconsin
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
8/8/2019 low-car comparative
46/65
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
San Antonio city, Te Seattle city, Washin Milwaukee city, Wisconsin
Estimate Estimate Estimate
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
8/8/2019 low-car comparative
47/65
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%
San Antonio city, Te Seattle city, Washin Milwaukee city, Wisconsin
Estimate Estimate Estimate
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
8/8/2019 low-car comparative
48/65
micropolitan statistical areas; in certain instances the names, codes, and boundaries of the p
8/8/2019 low-car comparative
49/65
8/8/2019 low-car comparative
50/65
8/8/2019 low-car comparative
51/65
incipal cities shown in PRCS tables may differ from the OMB definitions due to differences in
8/8/2019 low-car comparative
52/65
8/8/2019 low-car comparative
53/65
8/8/2019 low-car comparative
54/65
8/8/2019 low-car comparative
55/65
incipal cities shown in PRCS tables may differ from the OMB definitions due to differences in
8/8/2019 low-car comparative
56/65
8/8/2019 low-car comparative
57/65
8/8/2019 low-car comparative
58/65
he effective dates of the geographic entities.
8/8/2019 low-car comparative
59/65
8/8/2019 low-car comparative
60/65
8/8/2019 low-car comparative
61/65
8/8/2019 low-car comparative
62/65
he effective dates of the geographic entities.
8/8/2019 low-car comparative
63/65
8/8/2019 low-car comparative
64/65
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%
8/8/2019 low-car comparative
65/65
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