Bureau of Transportation Statistics (BTS)
BTS Home > Programs > National Household Travel Survey > Pre and Post 9 11 Data Documentation
Printable Version

Appendix B - Data Dictionary
Pre-9/11 Person

Excel | CSV

Variable Name Variable Type Variable Length Label Question Number Value Range Code Frequency Weighted Frequency Data File
AGERANGE Char 2 HH member 18 years or older   -1 = Appropriate Skip 21,779 271,470,012 Pre-911 Person
-7 = Refused 2 26,665  
1 = Yes 333 4,322,330  
2 = No 90 1,389,162  
BORNINUS Char 2 Respondent was born in U.S. M8 -1 = Appropriate Skip 4,746 65,730,243 Pre-911 Person
-7 = Refused 4 78,274  
-8 = Don't Know 2 10,638  
-9 = Not Ascertained 17 299,998  
1 = Yes 15,936 189,085,664  
2 = No 1,499 22,003,353  
CARRODE Num 8 Number in carpool last week E18 -9 = Not Ascertained 27 428,087 Pre-911 Person
-8 = Don't Know 4 30,255  
-5 = Did Not work last week 3 46,401  
-1 = Appropriate Skip 21,429 265,853,384  
1 96 1,383,343  
2 509 7,254,401  
3 98 1,568,122  
4 24 438,886  
5 7 97,578  
6 4 67,561  
8 1 12,317  
9 1 18,628  
14 1 9,206  
CDIVMSAR Char 2 HHs by Census Division, MSA size, Rail * 11 = New England, MSA 1 million or more, rail 629 8,395,028 Pre-911 Person
12 = New England, MSA 1 million or more, no rail 176 2,164,287  
13 = New England, MSA less than 1 million 160 1,906,068  
14 = New England, not in MSA 243 2,339,669  
21 = Mid-Atlantic, MSA 1 million or more, rail 1,458 21,383,424  
22 = Mid-Atlantic, MSA 1 million or more, no rail 460 5,184,979  
23 = Mid-Atlantic, MSA less than 1 million 709 7,654,133  
24 = Mid-Atlantic, not in MSA 366 3,575,501  
31 = E North Central, MSA 1 million or more, rail 675 9,139,724  
32 = E North Central, MSA 1 million or more, no rail 1,369 15,714,011  
33 = E North Central, MSA less than 1 million 900 9,081,598  
34 = E North Central, not in MSA 1,066 10,335,446  
42 = W North Central, MSA 1 million or more, no rail 563 6,584,339  
43 = W North Central, MSA less than 1 million 479 4,835,162  
44 = W North Central, not in MSA 802 7,726,217  
51 = So Atlantic, MSA 1 million or more, rail 983 15,017,051  
52 = So Atlantic, MSA 1 million or more, no rail 959 14,410,041  
53 = So Atlantic, MSA less than 1 million 1,004 13,429,603  
54 = So Atlantic, not in MSA 842 11,137,298  
62 = E South Central, MSA 1 million or more, no rail 267 3,811,811  
63 = E South Central, MSA less than 1 million 434 6,029,448  
64 = E South Central, not in MSA 431 5,408,221  
72 = W South Central, MSA 1 million or more, no rail 855 13,666,609  
73 = W South Central, MSA less than 1 million 594 9,493,887  
74 = W South Central, not in MSA 496 6,265,062  
82 = Mountain, MSA 1 million or more, no rail 756 8,556,479  
83 = Mountain, MSA less than 1 million 440 4,084,570  
84 = Mountain, not in MSA 445 4,158,922  
91 = Pacific, MSA 1 million or more, rail 1,156 17,716,132  
92 = Pacific, MSA 1 million or more, no rail 1,481 18,222,660  
93 = Pacific, MSA less than 1 million 619 6,626,947  
94 = Pacific, not in MSA 387 3,153,841  
CENSUS_D Char 2 Household Census Division * 1 = New England 1,208 14,805,051 Pre-911 Person
2 = Middle Atlantic 2,993 37,798,038  
3 = East North Central 4,010 44,270,779  
4 = West North Central 1,844 19,145,719  
5 = South Atlantic 3,788 53,993,993  
6 = East South Central 1,132 15,249,481  
7 = West South Central 1,945 29,425,558  
8 = Mountain 1,641 16,799,971  
9 = Pacific 3,643 45,719,580  
1 = Northeast 4,201 52,603,089  
2 = Midwest 5,854 63,416,498  
3 = South 6,865 98,669,031  
4 = West 5,284 62,519,551  
CNTTDTR Num 8 Number of travel day trips for this respondent * 0 2,451 30,124,970 Pre-911 Person
1 468 6,006,466  
2 4,312 55,322,923  
3 2,116 26,954,308  
4 3,741 47,976,932  
5 2,352 29,023,312  
6 2,373 29,074,946  
7 1,460 17,550,052  
8 1,073 13,196,574  
9 674 7,837,029  
10 463 5,550,302  
11 276 3,224,550  
12 191 2,221,011  
13 95 1,216,091  
14 55 738,907  
15 45 477,748  
16 25 328,483  
17 10 117,985  
18 15 181,318  
19 2 15,270  
20 3 30,439  
22 2 12,125  
23 1 15,400  
28 1 11,025  
CNTTPTR Num 8 Sum of travel period person trips H1* 0 12,407 162,908,735 Pre-911 Person
1 6,110 72,882,810  
2 2,141 24,524,095  
3 728 8,179,353  
4 367 3,689,993  
5 151 1,574,610  
6 68 708,537  
7 42 405,117  
8 38 377,090  
9 18 157,818  
10 14 220,152  
11 4 52,026  
12 18 192,247  
13 8 61,464  
14 8 87,052  
15 10 167,544  
16 4 38,858  
17 4 56,861  
18 7 96,305  
19 7 136,761  
20 21 326,999  
21 11 129,241  
22 2 20,704  
23 4 25,919  
24 5 114,659  
25 1 14,269  
26 3 39,733  
27 2 12,165  
28 1 7,053  
CNTTPUNQ Num 8 Number of unique travel period trips H1* 0 12,407 162,908,735 Pre-911 Person
1 7,198 86,017,993  
2 1,940 21,425,079  
3 472 5,070,430  
4 124 1,203,634  
5 37 338,490  
6 15 144,693  
7 5 32,955  
8 5 57,426  
15 1 8,735  
COMMDRVR Char 2 Commercial driver E8* -1 = Appropriate Skip 12,770 156,948,848 Pre-911 Person
-7 = Refused 1 10,872  
-8 = Don't Know 4 48,475  
-9 = Not Ascertained 12 146,821  
1 = Yes 2,107 26,392,643  
2 = No 7,310 93,660,509  
CONDNIGH Char 2 Medical condition limits driving to daytime M6C -1 = Appropriate Skip 20,459 258,053,342 Pre-911 Person
-7 = Refused 3 16,567  
-8 = Don't Know 38 383,341  
-9 = Not Ascertained 54 602,946  
1 = Yes 722 7,555,750  
2 = No 928 10,596,222  
CONDPUB Char 2 Medical condition limits use of public trans M6E -1 = Appropriate Skip 20,459 258,053,342 Pre-911 Person
-7 = Refused 1 6,356  
-8 = Don't Know 44 444,261  
1 = Yes 284 3,763,843  
2 = No 1,416 14,940,368  
CONDRIDE Char 2 Medical condition results in asking for rides M6B -1 = Appropriate Skip 20,459 258,053,342 Pre-911 Person
-8 = Don't Know 4 32,100  
1 = Yes 932 10,628,509  
2 = No 809 8,494,217  
CONDRIVE Char 2 Medical condition requires giving up driving M6D -1 = Appropriate Skip 20,459 258,053,342 Pre-911 Person
-7 = Refused 1 5,768  
-8 = Don't Know 22 238,257  
-9 = Not Ascertained 149 1,747,071  
1 = Yes 371 4,281,662  
2 = No 1,202 12,882,068  
CONDSPEC Char 2 Medical condition requires special transport M6F -1 = Appropriate Skip 20,459 258,053,342 Pre-911 Person
-8 = Don't Know 6 78,109  
-9 = Not Ascertained 222 2,982,161  
1 = Yes 153 1,939,597  
2 = No 1,364 14,154,960  
CONDTRAV Char 2 Medical condition results in less travel M6A -1 = Appropriate Skip 20,459 258,053,342 Pre-911 Person
-7 = Refused 2 27,789  
-8 = Don't Know 1 11,730  
1 = Yes 1,456 16,309,338  
2 = No 286 2,805,970  
DIARYCMP Char 2 Was diary completed G2* -8 = Don't Know 18 248,665 Pre-911 Person
-9 = Not Ascertained 42 719,312  
1 = Yes 16,135 196,080,564  
2 = No 6,009 80,159,628  
DIFFDATE Num 8 Days between travel day and person interview * 1 11,301 135,002,860 Pre-911 Person
2 3,827 47,985,838  
3 2,274 29,165,610  
4 1,725 23,607,321  
5 1,492 20,640,682  
6 1,439 19,144,929  
7 109 1,226,080  
8 21 263,027  
9 4 21,692  
10 12 150,130  
DISTBLOC Num 8 Distance to work if reported in blocks E14* -9 = Not Ascertained 8,123 90,398,207 Pre-911 Person
-1 = Appropriate Skip 13,636 181,315,961  
1 203 2,487,127  
2 44 580,773  
3 39 397,691  
4 28 348,870  
5 26 304,155  
6 26 320,952  
7 13 182,945  
8 20 257,740  
9 9 130,043  
10 11 133,796  
11 1 10,049  
12 4 73,479  
13 4 35,596  
14 1 9,364  
15 7 94,917  
17 1 10,209  
19 1 15,532  
20 1 8,760  
21 1 6,957  
25 1 8,248  
35 1 10,868  
40 1 23,240  
48 1 11,766  
70 1 30,921  
DISTTOWK Num 8 Distance to work in miles E14* -9 = Not Ascertained 8,125 90,441,319 Pre-911 Person
-1 = Appropriate Skip 4,747 65,747,823  
0.1 157 1,743,546  
0.11111111111111 46 743,582  
0.22222222222222 44 580,773  
0.25 191 2,154,614  
0.33333333333333 39 397,691  
0.44444444444444 28 348,870  
0.55555555555555 26 304,155  
0.66666666666666 26 320,952  
0.77777777777777 13 182,945  
0.88888888888888 20 257,740  
1 448 5,549,933  
1.11111111111111 11 133,796  
1.22222222222222 1 10,049  
1.33333333333333 4 73,479  
1.44444444444444 4 35,596  
1.55555555555555 1 9,364  
1.66666666666666 7 94,917  
1.88888888888888 1 10,209  
2 623 8,247,298  
2.11111111111111 1 15,532  
2.22222222222222 1 8,760  
2.33333333333333 1 6,957  
2.77777777777777 1 8,248  
3 624 7,972,925  
3.88888888888888 1 10,868  
4 451 5,972,771  
4.44444444444444 1 23,240  
5 549 7,650,648  
5.33333333333333 1 11,766  
6 469 5,996,464  
7 453 5,760,242  
7.77777777777777 1 30,921  
8 418 5,457,726  
9 201 2,564,750  
10 493 6,983,498  
11 197 2,348,409  
12 402 5,260,439  
13 207 2,822,845  
14 150 1,865,451  
15 455 6,158,492  
16 120 1,350,080  
17 134 1,577,004  
18 184 2,163,976  
19 77 921,284  
20 303 4,008,871  
21 80 883,427  
22 137 1,884,370  
23 92 1,194,080  
24 61 861,640  
25 233 3,321,542  
26 61 815,746  
27 49 600,420  
28 45 515,058  
29 23 342,949  
30 181 2,464,676  
31 27 361,592  
32 58 670,092  
33 28 301,549  
34 20 240,633  
35 113 1,472,719  
36 29 334,894  
37 27 399,613  
38 20 239,985  
39 10 116,979  
40 69 997,080  
41 13 152,567  
42 19 236,345  
43 15 180,839  
44 8 124,448  
45 48 532,887  
46 6 66,337  
47 12 133,883  
48 14 194,413  
49 2 37,103  
50 43 645,697  
51 5 72,530  
52 11 112,729  
53 9 77,018  
54 7 77,074  
55 12 145,615  
56 2 14,448  
57 5 27,681  
58 5 60,274  
59 3 35,706  
60 24 257,271  
61 1 8,517  
62 5 53,262  
63 4 74,948  
64 3 48,066  
65 21 298,122  
66 1 6,442  
67 7 107,160  
68 2 20,053  
69 1 13,233  
70 4 58,050  
71 1 10,580  
72 4 37,101  
73 2 26,760  
75 9 128,438  
76 2 28,798  
78 2 18,222  
80 3 51,669  
82 3 27,142  
84 1 5,298  
85 4 81,654  
87 1 8,889  
90 5 55,390  
93 1 9,340  
95 2 33,630  
96 1 13,410  
100 4 53,640  
104 1 5,448  
105 1 16,904  
106 1 9,118  
110 1 6,471  
112 1 9,175  
120 2 77,321  
125 2 14,390  
130 3 23,229  
135 1 5,969  
138 1 43,785  
148 1 7,680  
150 3 15,019  
165 1 6,910  
180 1 10,292  
190 1 34,873  
200 1 15,931  
285 1 5,956  
300 1 18,628  
350 1 5,166  
540 1 9,613  
700 1 43,746  
DRIVER Char 2 Driver status of respondent C8* -1 = Appropriate Skip 4,359 60,406,420 Pre-911 Person
-9 = Not Ascertained 11 169,105  
1 = Yes, a driver 16,110 191,857,833  
2 = No, not a driver 1,724 24,774,812  
DRVRCNT Num 8 Number of drivers in household C8* 0 506 7,861,742 Pre-911 Person
1 3,727 47,759,564  
2 13,360 159,814,801  
3 3,296 42,929,661  
4 1,044 14,981,970  
5 182 2,586,210  
6 86 1,141,452  
7 3 132,768  
DTACDT Char 2 Worrying about a traffic accident L2K -1 = Appropriate Skip 13,806 168,889,828 Pre-911 Person
-7 = Refused 5 44,471  
-8 = Don't Know 34 360,255  
-9 = Not Ascertained 8 126,706  
1 = Not a problem 2,843 35,070,189  
2 = A little problem 2,033 25,694,746  
3 = Somewhat of a problem 1,615 21,408,540  
4 = Very much of a problem 761 10,177,237  
5 = A severe problem 1,099 15,436,196  
DTCONJ Char 2 Highway congestion L2A -1 = Appropriate Skip 8,537 112,900,144 Pre-911 Person
-7 = Refused 3 25,487  
-8 = Don't Know 84 919,141  
-9 = Not Ascertained 17 251,583  
1 = Not a problem 4,066 48,029,200  
2 = A little problem 2,684 30,982,183  
3 = Somewhat of a problem 3,061 36,894,078  
4 = Very much of a problem 1,699 21,067,221  
5 = A severe problem 2,053 26,139,131  
DTDISTRC Char 2 Distracted drivers L2H -1 = Appropriate Skip 18,870 237,639,362 Pre-911 Person
-7 = Refused 2 24,907  
-8 = Don't Know 25 275,398  
-9 = Not Ascertained 3 27,189  
1 = Not a problem 537 6,256,844  
2 = A little problem 652 7,507,354  
3 = Somewhat of a problem 921 10,810,852  
4 = Very much of a problem 606 7,326,187  
5 = A severe problem 588 7,340,076  
DTDRUNK Char 2 Drunk drivers L2G -1 = Appropriate Skip 18,656 234,265,640 Pre-911 Person
-8 = Don't Know 43 476,894  
-9 = Not Ascertained 4 74,330  
1 = Not a problem 1,241 14,481,251  
2 = A little problem 717 8,718,880  
3 = Somewhat of a problem 517 6,381,207  
4 = Very much of a problem 287 3,409,448  
5 = A severe problem 739 9,400,518  
DTGAS Char 2 Price of gasoline L2B -1 = Appropriate Skip 8,537 112,900,144 Pre-911 Person
-7 = Refused 1 7,605  
-8 = Don't Know 65 766,416  
-9 = Not Ascertained 5,075 68,612,963  
1 = Not a problem 1,056 11,579,571  
2 = A little problem 1,046 10,859,631  
3 = Somewhat of a problem 1,898 20,358,461  
4 = Very much of a problem 1,526 16,972,977  
5 = A severe problem 3,000 35,150,400  
DTNOWALK Char 2 Lack of walkways or sidewalks L2C -1 = Appropriate Skip 18,763 235,390,807 Pre-911 Person
-7 = Refused 1 6,115  
-8 = Don't Know 19 203,135  
-9 = Not Ascertained 6 74,399  
1 = Not a problem 1,837 21,789,967  
2 = A little problem 593 7,480,988  
3 = Somewhat of a problem 427 5,450,253  
4 = Very much of a problem 221 2,619,637  
5 = A severe problem 337 4,192,868  
DTPVPOT Char 2 Rough pavement or potholes L2E -1 = Appropriate Skip 8,540 112,927,441 Pre-911 Person
-7 = Refused 3 32,513  
-8 = Don't Know 68 819,186  
-9 = Not Ascertained 14 224,286  
1 = Not a problem 2,835 34,052,859  
2 = A little problem 3,254 37,679,274  
3 = Somewhat of a problem 3,318 39,421,838  
4 = Very much of a problem 2,113 25,139,569  
5 = A severe problem 2,059 26,911,203  
DTRRAGE Char 2 Aggressive drivers on the road L2F -1 = Appropriate Skip 18,763 235,390,807 Pre-911 Person
-8 = Don't Know 15 183,596  
-9 = Not Ascertained 6 74,399  
1 = Not a problem 522 6,267,687  
2 = A little problem 657 7,955,815  
3 = Somewhat of a problem 860 10,334,735  
4 = Very much of a problem 647 7,826,259  
5 = A severe problem 734 9,174,870  
DTSPEED Char 2 Drivers speeding L2I -1 = Appropriate Skip 13,806 168,889,828 Pre-911 Person
-7 = Refused 1 7,605  
-8 = Don't Know 13 143,563  
-9 = Not Ascertained 5,065 68,478,746  
1 = Not a problem 633 7,586,526  
2 = A little problem 626 7,209,688  
3 = Somewhat of a problem 775 9,304,827  
4 = Very much of a problem 587 6,651,646  
5 = A severe problem 698 8,935,742  
DTTIEUP Char 2 Traffic or road congestion L2D -1 = Appropriate Skip 18,656 234,265,640 Pre-911 Person
-8 = Don't Know 31 362,662  
-9 = Not Ascertained 4 74,330  
1 = Not a problem 1,038 12,577,177  
2 = A little problem 861 10,433,577  
3 = Somewhat of a problem 704 8,449,189  
4 = Very much of a problem 476 5,696,021  
5 = A severe problem 434 5,349,573  
DTTRUCKS Char 2 Number of large trucks on road L2J -1 = Appropriate Skip 18,870 237,639,362 Pre-911 Person
-7 = Refused 2 24,907  
-8 = Don't Know 22 262,154  
-9 = Not Ascertained 3 27,189  
1 = Not a problem 685 8,390,672  
2 = A little problem 698 8,057,089  
3 = Somewhat of a problem 731 9,067,795  
4 = Very much of a problem 559 6,272,981  
5 = A severe problem 634 7,466,019  
EDUC Char 2 Highest grade completed M7 -1 = Appropriate Skip 4,746 65,730,243 Pre-911 Person
-7 = Refused 27 272,425  
-8 = Don't Know 67 771,660  
-9 = Not Ascertained 17 299,998  
1 = Less then high school graduate 2,264 29,542,664  
2 = High school graduate, include GED 5,462 64,583,532  
3 = Vocational/technical training 712 8,157,627  
4 = Some college, but no degree 2,962 37,517,579  
5 = Associate's degree (for example, AA) 1,078 13,379,404  
6 = Bachelor's degree (for example, BA, AB, BS) 2,792 33,908,608  
7 = Some graduate or professional school, but no degree 311 3,529,921  
8 = Graduate or professional school degree (for example, MA, MS, MBA, MD, DDS, PhD, EdD, J 1,766 19,514,510  
FLGPRDRV Char 2 Primary driver status of subject * -1 = Appropriate Skip 6,094 85,350,336 Pre-911 Person
1 = Subject is a driver, but is not a primary driver of any HH vehicle 2,448 31,417,204  
2 = Primary driver of one HH vehicle 12,012 142,689,047  
3 = Primary driver of two HH vehicles 1,341 14,591,563  
4 = Primary driver of three or more HH vehicles 309 3,160,019  
FPERWT01--FPERWT99 Num 8 Person weight 50% HHs - Rep 01-99         Pre-911 Person
FRSTHM Char 2 At home at start of travel day G8 -7 = Refused 1 12,662 Pre-911 Person
-8 = Don't Know 5 115,126  
1 = Yes 20,580 256,156,926  
2 = No 1,618 20,923,454  
GT1JBLWK Char 2 Have more than one job E6 -1 = Appropriate Skip 11,670 141,640,879 Pre-911 Person
-7 = Refused 1 6,650  
-8 = Don't Know 1 17,448  
-9 = Not Ascertained 247 3,252,999  
1 = Yes 990 12,658,064  
2 = No 9,295 119,632,131  
HBHRESDN Char 9 Housing units per sq mile - Block group * -9 = Not Ascertained 6 86,342 Pre-911 Person
25 = 0 to 49 3,920 41,592,328  
150 = 50 to 249 3,599 40,531,079  
700 = 250 to 999 5,099 62,715,869  
2000 = 1,000 to 2,999 6,679 85,736,382  
4000 = 3,000 to 4,999 1,648 24,245,823  
6000 = 5,000 to 999K 1,253 22,300,345  
HBHTNRNT Char 9 Percent renter-occupied - Block group   -9 = Not Ascertained 21 86,865 Pre-911 Person
0 - 100% 60,261 277,121,337  
HBHUR Char 2 Urban / Rural indicator - Block group * -9 = Not Ascertained 6 86,342  
C = Second City 3,822 49,726,903  
R = Rural 5,157 56,448,558  
S = Suburban 5,526 69,838,491  
T = Town 5,286 61,076,652  
U = Urban 2,407 40,031,222  
HBPPOPDN Char 9 Population per sq mile - Block group * -9 = Not Ascertained 6 86,342 Pre-911 Person
50 = 0 to 99 3,466 36,589,961  
300 = 100 to 499 3,493 38,477,226  
750 = 500 to 999 1,880 22,521,833  
1500 = 1,000 to 1,999 2,634 32,068,146  
3000 = 2,000 to 3,999 4,052 51,143,617  
7000 = 4,000 to 9,999 4,911 65,276,722  
17000 = 10,000 to 24,999 1,325 22,631,264  
30000 = 25,000 to 999K 437 8,413,058  
HHC_MSA Char 4 MSA/CMSA location of HH * 0520 = Atlanta, GA MSA 294 4,432,369 Pre-911 Person
0640 = Austin-San Marcos, TX MSA 78 1,467,735  
1122 = Boston-Worcester-Lawrence, MA-NH-ME-CT CMSA 510 6,482,864  
1280 = Buffalo-Niagara Falls, NY MSA 117 1,395,559  
1520 = Charlotte-Gastonia-Rock Hill, NC-SC MSA 108 1,652,980  
1602 = Chicago-Gary-Kenosha, IL-IN-WI CMSA 675 9,139,724  
1642 = Cincinnati-Hamilton, OH-KY-IN CMSA 182 2,235,099  
1692 = Cleveland-Akron, OH CMSA 268 3,272,007  
1840 = Columbus, OH MSA 99 1,305,998  
1922 = Dallas-Fort Worth, TX CMSA 298 4,975,200  
2082 = Denver-Boulder-Greeley, CO CMSA 247 2,826,625  
2162 = Detroit-Ann Arbor-Flint, MI CMSA 418 4,776,511  
3000 = Grand Rapids-Muskegon-Holland, MI MSA 130 1,344,963  
3120 = Greensboro--Winston-Salem--High Point, NC MSA 115 1,369,986  
3280 = Hartford, CT MSA 80 908,196  
3362 = Houston-Galveston-Brazoria, TX CMSA 238 3,553,934  
3480 = Indianapolis, IN MSA 135 1,590,203  
3600 = Jacksonville, FL MSA 96 1,681,130  
3760 = Kansas City, MO-KS MSA 145 1,650,179  
4120 = Las Vegas, NV-AZ MSA 128 1,521,653  
4472 = Los Angeles-Riverside-Orange County, CA CMSA 1,081 16,405,898  
4520 = Louisville, KY-IN MSA 77 910,135  
4920 = Memphis, TN-AR-MS MSA 49 754,438  
4992 = Miami-Fort Lauderdale, FL CMSA 199 3,411,845  
5082 = Milwaukee-Racine, WI CMSA 111 1,128,548  
5120 = Minneapolis-St. Paul, MN-WI MSA 285 3,261,666  
5360 = Nashville, TN MSA 103 1,406,902  
5560 = New Orleans, LA MSA 102 1,760,966  
5602 = New York-Northern New Jersey-Long Island, NY-NJ-CT-PA CMSA 1,192 18,204,636  
5720 = Norfolk-Virginia Beach-Newport News, VA-NC MSA 115 1,850,092  
5880 = Oklahoma City, OK MSA 52 704,889  
5960 = Orlando, FL MSA 103 1,537,637  
6162 = Philadelphia-Wilmington-Atlantic City, PA-NJ-DE-MD CMSA 421 5,526,939  
6200 = Phoenix-Mesa, AZ MSA 272 3,210,992  
6280 = Pittsburgh, PA MSA 236 2,598,017  
6442 = Portland-Salem, OR-WA CMSA 198 1,959,036  
6480 = Providence-Fall River-Warwick, RI-MA MSA 96 1,256,091  
6640 = Raleigh-Durham-Chapel Hill, NC MSA 109 1,473,377  
6840 = Rochester, NY MSA 107 1,191,403  
6922 = Sacramento-Yolo, CA CMSA 161 2,001,830  
7040 = St. Louis, MO-IL MSA 199 2,487,622  
7160 = Salt Lake City-Ogden, UT MSA 109 997,210  
7240 = San Antonio, TX MSA 85 1,189,777  
7320 = San Diego, CA MSA 246 3,633,322  
7362 = San Francisco-Oakland-San Jose, CA CMSA 538 7,391,328  
7602 = Seattle-Tacoma-Bremerton, WA CMSA 413 4,547,378  
8280 = Tampa-St. Petersburg-Clearwater, FL MSA 152 2,203,488  
8872 = Washington-Baltimore, DC-MD-VA-WV CMSA 551 8,541,825  
8960 = West Palm Beach-Boca Raton, FL MSA 64 836,377  
9999 = Not in an MSA 5,078 54,100,178  
XXXX = Suppressed, in an MSA of less than 1 million 5,339 63,141,416  
HHFAMINC Char 2 Total HH income last 12 months M14* -1 = Appropriate Skip 269 3,409,145 Pre-911 Person
-7 = Refused 762 7,820,657  
-8 = Don't Know 384 4,565,615  
-9 = Not Ascertained 14 327,919  
01 = < $5,000 408 6,674,800  
02 = $5,000 - $9,999 770 10,981,872  
03 = $10,000 - $14,999 874 11,736,844  
04 = $15,000 - $19,999 1,214 16,323,908  
05 = $20,000 - $24,999 1,107 14,624,081  
06 = $25,000 - $29,999 1,570 19,988,355  
07 = $30,000 - $34,999 1,128 13,383,700  
08 = $35,000 - $39,999 1,735 22,907,207  
09 = $40,000 - $44,999 848 10,442,016  
10 = $45,000 - $49,999 1,529 18,610,457  
11 = $50,000 - $54,999 842 9,720,339  
12 = $55,000 - $59,999 1,298 16,392,278  
13 = $60,000 - $64,999 601 7,400,262  
14 = $65,000 - $69,999 1,075 12,751,080  
15 = $70,000 - $74,999 487 5,736,385  
16 = $75,000 - $79,999 874 10,853,891  
17 = $80,000 - $99,999 1,642 20,325,898  
18 = $100,000 or more 2,773 32,231,460  
HHINCTTL Char 2 Total income all HH members M14* -1 = Appropriate Skip 269 3,409,145 Pre-911 Person
-7 = Refused 762 7,820,657  
-8 = Don't Know 384 4,565,615  
-9 = Not Ascertained 14 327,919  
01 = < $5,000 353 5,532,613  
02 = $5,000 - $9,999 672 9,473,246  
03 = $10,000 - $14,999 805 10,503,796  
04 = $15,000 - $19,999 1,127 15,147,745  
05 = $20,000 - $24,999 1,058 14,182,684  
06 = $25,000 - $29,999 1,480 18,869,942  
07 = $30,000 - $34,999 1,117 13,445,580  
08 = $35,000 - $39,999 1,704 22,272,353  
09 = $40,000 - $44,999 860 10,689,523  
10 = $45,000 - $49,999 1,451 17,510,827  
11 = $50,000 - $54,999 872 10,316,861  
12 = $55,000 - $59,999 1,283 15,952,595  
13 = $60,000 - $64,999 640 7,559,971  
14 = $65,000 - $69,999 1,046 12,500,618  
15 = $70,000 - $74,999 533 6,754,774  
16 = $75,000 - $79,999 895 11,273,664  
17 = $80,000 - $99,999 1,803 22,304,329  
18 = $100,000 or more 3,076 36,793,712  
HHRESP Char 2 Person ID of HH respondent * 01 22,181 276,927,892 Pre-911 Person
02 9 97,180  
03 6 82,287  
04 3 12,557  
05 2 11,347  
06 3 76,905  
HHR_DRVR Char 2 Driver status of HH respondent * 1 = Yes, a driver 20,972 258,603,237 Pre-911 Person
2 = No, not a driver 1,232 18,604,932  
HHR_EDUC Char 2 Education level of HH respondent M7* -7 = Refused 23 232,598 Pre-911 Person
-8 = Don't Know 51 545,678  
-9 = Not Ascertained 442 6,430,271  
1 = Less then high school graduate 1,841 25,105,580  
2 = High school graduate, include GED 6,627 80,796,648  
3 = Vocational/technical training 857 10,613,797  
4 = Some college, but no degree 4,084 51,594,216  
5 = Associate's degree (for example, AA) 1,584 20,371,763  
6 = Bachelor's degree (for example, BA, AB, BS) 3,923 49,383,057  
7 = Some graduate or professional school, but no degree 403 4,885,863  
8 = Graduate or professional school degree (for example, MA, MS, MBA, MD, DDS, PhD, EdD, J 2,369 27,248,698  
HHR_HISP Char 2 Hispanic status of HH respondent C6* 1 = Yes 1,581 35,043,208 Pre-911 Person
2 = No 20,623 242,164,961  
HHR_RACE Char 2 Race of HH respondent C7* -7 = Refused 111 1,413,253 Pre-911 Person
-8 = Don't Know 21 189,627  
-9 = Not Ascertained 23 280,277  
01 = White 17,955 193,061,022  
02 = African American, Black 1,391 33,368,322  
03 = Asian Only 489 6,782,800  
04 = American Indian, Alaskan Native 97 1,070,794  
05 = Native Hawaiian, other Pacific Islander 60 601,735  
06 = Hispanic/Mexican Only 820 16,824,099  
07 = White & African American 17 234,230  
08 = White & Asian 33 465,066  
09 = White & American Indian 323 3,591,866  
10 = White & Hispanic 609 13,798,237  
11 = African American & Hispanic 16 421,260  
12 = American Indian & Hispanic 35 978,233  
13 = Other Combination 2 Races 141 2,668,721  
14 = Other Combination 3 Races 33 881,907  
16 = Other multiracial not listed above 29 566,847  
17 = Other specify 1 9,872  
HHR_WRKR Char 2 Worker status of HH respondent * 1 = Yes 14,507 188,643,278 Pre-911 Person
2 = No 7,697 88,564,891  
HHSIZE Num 8 Number of HH members C3* 1 2,069 22,538,302 Pre-911 Person
2 6,907 72,701,322  
3 4,108 54,781,040  
4 4,976 67,872,395  
5 2,552 35,085,264  
6 1,019 15,276,569  
7 353 5,733,291  
8 131 1,970,379  
9 46 803,453  
10 20 193,291  
11 23 252,862  
HHSTATE Char 2 State-household location D4* AL = Alabama 312 4,458,387 Pre-911 Person
AR = Arkansas 213 2,578,617  
AZ = Arizona 433 4,788,222  
CA = California 2,465 34,288,574  
CO = Colorado 417 4,507,112  
CT = Connecticut 222 3,168,275  
FL = Florida 1,022 14,663,633  
GA = Georgia 623 9,040,260  
IA = Iowa 268 2,606,634  
IL = Illinois 1,041 12,968,779  
IN = Indiana 479 5,120,856  
KS = Kansas 292 2,930,343  
KY = Kentucky 288 3,747,123  
LA = Louisiana 290 4,404,197  
MA = Massachusetts 541 6,788,601  
MD = Maryland 322 4,818,874  
MI = Michigan 924 9,681,447  
MN = Minnesota 509 5,396,266  
MO = Missouri 517 5,864,720  
MS = Mississippi 134 1,992,125  
NC = North Carolina 658 8,980,026  
NJ = New Jersey 573 7,965,824  
NY = New York 1,216 16,056,034  
OH = Ohio 1,079 11,913,750  
OK = Oklahoma 222 2,569,725  
OR = Oregon 345 2,947,498  
PA = Pennsylvania 1,204 13,776,180  
SC = South Carolina 291 4,117,656  
TN = Tennessee 398 5,051,845  
TX = Texas 1,220 19,873,019  
UT = Utah 183 1,517,733  
VA = Virginia 558 8,034,021  
WA = Washington 704 7,022,725  
WI = Wisconsin 487 4,585,947  
XX = Suppressed, HH in state of less than 2 million 1,754 18,983,141  
HHSTFIPS Char 2 FIPS state code for HH * 01 = Alabama (FIPS Code=01) 312 4,458,387 Pre-911 Person
04 = Arizona (FIPS Code=04) 433 4,788,222  
05 = Arkansas (FIPS Code=05) 213 2,578,617  
06 = California (FIPS Code=06) 2,465 34,288,574  
08 = Colorado (FIPS Code=08) 417 4,507,112  
09 = Connecticut (FIPS Code=09) 222 3,168,275  
12 = Florida (FIPS Code=12) 1,022 14,663,633  
13 = Georgia (FIPS Code=13) 623 9,040,260  
17 = Illinois (FIPS Code=17) 1,041 12,968,779  
18 = Indiana (FIPS Code=18) 479 5,120,856  
19 = Iowa (FIPS Code=19) 268 2,606,634  
20 = Kansas (FIPS Code=20) 292 2,930,343  
21 = Kentucky (FIPS Code=21) 288 3,747,123  
22 = Louisiana (FIPS Code=22) 290 4,404,197  
24 = Maryland (FIPS Code=24) 322 4,818,874  
25 = Massachusetts (FIPS Code=25) 541 6,788,601  
26 = Michigan (FIPS Code=26) 924 9,681,447  
27 = Minnesota (FIPS Code=27) 509 5,396,266  
28 = Mississippi (FIPS Code=28) 134 1,992,125  
29 = Missouri (FIPS Code=29) 517 5,864,720  
34 = New Jersey (FIPS Code=34) 573 7,965,824  
36 = New York (FIPS Code=36) 1,216 16,056,034  
37 = North Carolina (FIPS Code=37) 659 8,989,402  
39 = Ohio (FIPS Code=39) 1,079 11,913,750  
40 = Oklahoma (FIPS Code=40) 222 2,569,725  
41 = Oregon (FIPS Code=41) 345 2,947,498  
42 = Pennsylvania (FIPS Code=42) 1,204 13,776,180  
45 = South Carolina (FIPS Code=45) 290 4,108,280  
47 = Tennessee (FIPS Code=47) 398 5,051,845  
48 = Texas (FIPS Code=48) 1,220 19,873,019  
49 = Utah (FIPS Code=49) 183 1,517,733  
51 = Virginia (FIPS Code=51) 557 8,025,535  
53 = Washington (FIPS Code=53) 704 7,022,725  
54 = West Virginia (FIPS Code=54) 1 8,486  
55 = Wisconsin (FIPS Code=55) 487 4,585,947  
XX = Suppressed, HH in state of less than 2 million 1,754 18,983,141  
HHVEHCNT Num 8 Number of vehicles in HH B1* 0 796 13,108,347 Pre-911 Person
1 4,261 56,676,313  
2 9,956 121,542,279  
3 4,423 52,842,270  
4 1,775 21,239,522  
5 602 6,913,873  
6 251 3,216,160  
7 61 774,938  
8 28 272,062  
9 30 337,549  
10 18 163,459  
12 3 121,397  
HOMEOWN Char 2 Housing unit owned or rented C2 1 = Own 17,994 207,906,387 Pre-911 Person
2 = Rent 4,105 67,568,602  
3 = Provided by job or military 97 1,635,378  
91 = Other 8 97,802  
HOMETYPE Char 2 Type of housing unit C1 1 = Detached single house 17,054 199,595,363 Pre-911 Person
2 = Duplex 789 12,246,822  
3 = Rowhouse or townhouse 690 10,396,662  
4 = Apartment, condominium 2,367 38,148,557  
5 = Mobile home or trailer 1,284 16,544,468  
6 = Dorm room, fraternity or sorority house 2 35,083  
91 = Other 18 241,213  
HOUSEID Char 8 HH ID number         Pre-911 Person
HTEEMPDN Char 8 Jobs per sq mile - Tract level   -9 = Not Ascertained 21 86,865 Pre-911 Person
0 - 135,173.31 60,261 277,121,317  
HTHRESDN Char 9 Housing units per sq mile - Tract level * -9 = Not Ascertained 6 86,342 Pre-911 Person
25 = 0 to 49 4,410 47,085,586  
150 = 50 to 249 3,782 42,626,488  
700 = 250 to 999 5,385 66,454,398  
2000 = 1,000 to 2,999 6,330 83,267,890  
4000 = 3,000 to 4,999 1,275 19,069,200  
6000 = 5,000 to 999K 1,016 18,618,266  
HTHTNRNT Num 8 Percent renter-occupied - Tract level   -9 = Not Ascertained 21 86,865 Pre-911 Person
0 - 100% 60,261 277,121,313  
HTHUR Char 2 Urban / Rural indicator - Tract level * -9 = Not Ascertained 6 86,342 Pre-911 Person
C = Second City 3,750 48,946,524  
R = Rural 5,158 56,602,019  
S = Suburban 5,581 70,661,316  
T = Town 5,252 60,282,748  
U = Urban 2,457 40,629,219  
HTPPOPDN Char 9 Population per sq mile - Tract level * -9 = Not Ascertained 6 86,342 Pre-911 Person
50 = 0 to 99 4,014 42,829,518  
300 = 100 to 499 3,640 40,462,828  
750 = 500 to 999 2,001 23,750,402  
1500 = 1,000 to 1,999 2,771 34,013,934  
3000 = 2,000 to 3,999 3,990 50,891,882  
7000 = 4,000 to 9,999 4,289 58,392,935  
17000 = 10,000 to 24,999 1,119 19,319,158  
30000 = 25,000 to 999K 374 7,461,169  
IMPTAGE Char 1 Subjects age was imputed * 1 = Yes 425 5,738,157 Pre-911 Person
2 = No 21,779 271,470,012  
IMPTHOWN Char 1 HOMEOWN was imputed * 1 = Yes 34 606,419 Pre-911 Person
2 = No 22,170 276,601,750  
IMPTHTYP Char 1 HOMETYPE was imputed * 1 = Yes 24 383,225 Pre-911 Person
2 = No 22,180 276,824,944  
IMPTRACE Char 1 Race of HH respondent was imputed * 1 = Yes 215 3,056,828 Pre-911 Person
2 = No 21,989 274,151,341  
IMPTSEX Char 1 Subjects sex was imputed * 1 = Yes 28 401,053 Pre-911 Person
2 = No 22,176 276,807,116  
INDVINC Char 2 Income of respondent if reported separately M24* -1 = Appropriate Skip 21,623 267,959,533 Pre-911 Person
01 = < $5,000 66 1,091,863  
02 = $5,000 - $9,999 92 1,435,342  
03 = $10,000 - $14,999 64 990,147  
04 = $15,000 - $19,999 62 1,002,127  
05 = $20,000 - $24,999 54 994,477  
06 = $25,000 - $29,999 51 877,374  
07 = $30,000 - $34,999 26 373,441  
08 = $35,000 - $39,999 23 408,374  
09 = $40,000 - $44,999 19 311,692  
10 = $45,000 - $49,999 25 378,197  
11 = $50,000 - $54,999 8 87,556  
12 = $55,000 - $59,999 18 259,823  
13 = $60,000 - $64,999 6 60,662  
14 = $65,000 - $69,999 14 196,165  
15 = $70,000 - $74,999 11 171,249  
16 = $75,000 - $79,999 2 15,481  
17 = $80,000 - $99,999 14 234,769  
18 = $100,000 or more 26 359,897  
LANG Char 1 Interview Language * 1 = English 21,798 272,578,380 Pre-911 Person
2 = Spanish 406 4,629,789  
LASTRPMM Char 2 Date of last trip before travel day, Month G14 -1 = Appropriate Skip 19,798 247,819,997 Pre-911 Person
-8 = Don't Know 108 1,280,883  
-9 = Not Ascertained 1 17,583  
01 = January 5 43,209  
02 = February 15 144,014  
03 = March 59 777,317  
04 = April 318 4,722,354  
05 = May 356 4,888,901  
06 = June 322 4,385,851  
07 = July 361 5,872,820  
08 = August 574 4,404,302  
09 = September 270 2,652,178  
10 = October 5 54,892  
11 = November 3 34,040  
12 = December 9 109,829  
LASTRPYY Char 4 Date of last trip before travel day, Year G14 -1 = Appropriate Skip 19,798 247,819,997 Pre-911 Person
-8 = Don't Know 94 1,197,180  
-9 = Not Ascertained 1 17,583  
1978 1 7,090  
1994 1 8,805  
1995 2 11,790  
1997 2 15,743  
1998 1 2,399  
2000 26 359,138  
2001 2,278 27,768,443  
LIF_CYC Char 2 Household life cycle * 01 = one adult, no children 1,108 13,271,553 Pre-911 Person
02 = 2+ adults, no children 3,971 48,737,465  
03 = one adult, youngest child 0-5 355 6,730,426  
04 = 2+ adults, youngest child 0-5 4,871 69,992,060  
05 = one adult, youngest child 6-15 529 8,060,755  
06 = 2+ adults, youngest child 6-15 4,961 63,367,164  
07 = one adult, youngest child 16-21 223 3,199,587  
08 = 2+ adults, youngest child 16-21 1,453 18,872,075  
09 = one adult, retired, no children 939 8,977,547  
10 = 2+ adults, retired, no children 3,794 35,999,537  
LSTTRDAY Num 8 Number of days since last trip before travel day G15* -9 = Not Ascertained 207 2,492,015 Pre-911 Person
-1 = Appropriate Skip 19,798 247,819,997  
0 6 59,778  
1 1,078 13,125,350  
2 353 4,583,285  
3 221 2,687,641  
4 108 1,291,533  
5 74 937,562  
6 61 670,651  
7 39 499,346  
8 25 353,188  
9 17 176,939  
10 25 220,222  
11 10 118,437  
12 11 78,791  
13 19 240,447  
14 15 234,371  
15 5 69,334  
16 7 56,934  
17 9 111,093  
18 3 26,826  
19 2 24,893  
20 5 48,979  
21 4 45,738  
22 4 60,814  
23 4 67,108  
24 6 59,721  
26 4 33,402  
27 4 116,671  
28 1 12,518  
29 1 3,389  
30 5 44,319  
31 5 52,794  
32 2 43,776  
33 3 20,409  
34 2 19,921  
35 1 5,672  
36 2 31,438  
37 1 6,608  
38 3 28,939  
39 1 8,928  
40 2 58,229  
42 2 14,324  
43 2 31,114  
44 2 19,177  
45 2 17,015  
46 1 4,559  
50 3 25,524  
51 2 16,094  
53 1 8,260  
59 1 10,590  
60 1 15,802  
61 1 9,843  
63 1 3,955  
65 1 8,736  
67 1 11,028  
69 1 9,938  
72 1 21,952  
77 1 10,922  
78 1 13,786  
79 1 3,474  
80 3 45,867  
81 1 40,968  
85 1 3,290  
86 2 20,886  
89 1 13,818  
91 1 7,773  
93 1 10,023  
101 1 16,326  
104 1 6,758  
115 1 17,931  
117 1 12,355  
122 1 4,604  
131 1 9,206  
141 1 12,596  
160 1 10,104  
172 1 11,358  
182 1 5,198  
253 1 17,111  
303 2 23,203  
377 1 7,792  
730 1 6,901  
LSTTRDT Char 6 Month, Year of last trip before travel day G14* -1 = Appropriate Skip 19,798 247,819,997 Pre-911 Person
-9 = Not Ascertained 207 2,492,015  
199512 1 6,901  
200008 1 7,792  
200010 3 34,561  
200011 1 9,206  
200012 5 70,098  
200101 4 36,812  
200102 7 75,122  
200103 54 725,211  
200104 307 4,570,042  
200105 338 4,641,337  
200106 309 4,212,770  
200107 340 5,551,610  
200108 564 4,334,400  
200109 265 2,620,296  
MEDCOND Char 2 Have a medical condition making travel difficult M4 -1 = Appropriate Skip 4,746 65,730,243 Pre-911 Person
-7 = Refused 5 44,854  
-8 = Don't Know 6 62,236  
-9 = Not Ascertained 17 299,998  
1 = Yes 1,745 19,154,827  
2 = No 15,685 191,916,011  
MEDCOND6 Char 2 Length of time with medical condition M5 -1 = Appropriate Skip 20,459 258,053,342 Pre-911 Person
-7 = Refused 1 5,768  
-8 = Don't Know 9 87,201  
1 = 0-5 months 128 1,474,262  
2 = 6-11 months 93 975,064  
3 = 1-4 years 517 5,747,950  
4 = 5-9 years 343 3,764,910  
5 = 10 years or more 574 6,083,834  
6 = All his/her Life 80 1,015,838  
MSACAT Char 2 MSA/CMSA category * 1 = MSA of 1 million or more, with rail 4,901 71,651,359 Pre-911 Person
2 = MSA of 1 million or more, and not in 1 6,886 88,315,216  
3 = MSA less than 1 million 5,339 63,141,416  
4 = Not in MSA (CMSA) 5,078 54,100,178  
MSASIZE Char 2 Population size of HH MSA * 1 = In an MSA of Less than 250,000 1,621 18,758,104 Pre-911 Person
2 = In an MSA of 250,000 - 499,999 1,850 22,323,210  
3 = In an MSA of 500,000 - 999,999 1,868 22,060,102  
4 = In an MSA or CMSA of 1,000,000 - 2,999,999 4,687 59,365,133  
5 = In an MSA or CMSA of 3 million or more 7,100 100,601,442  
6 = Not in MSA or CMSA 5,078 54,100,178  
NBIKETRP Num 8 Number of bike trips in past week L4 -9 = Not Ascertained 16 239,312 Pre-911 Person
-8 = Don't Know 18 283,038  
-7 = Refused 1 14,346  
-1 = Appropriate Skip 4,748 65,777,556  
0 15,830 190,985,932  
1 594 7,589,091  
2 413 5,122,972  
3 218 2,655,450  
4 102 1,228,083  
5 98 1,135,805  
6 41 489,862  
7 70 900,758  
8 7 119,544  
9 1 8,401  
10 21 324,934  
12 6 47,128  
13 1 10,141  
14 2 14,463  
15 4 47,567  
17 1 19,314  
20 7 111,955  
25 2 22,686  
28 1 12,130  
30 2 47,702  
NUMADLT Num 8 Number of adults in HH C8* 1 2,866 35,146,978 Pre-911 Person
2 15,069 177,696,676  
3 3,033 45,342,337  
4 985 15,601,990  
5 184 2,544,688  
6 63 837,218  
7 4 38,283  
NWALKTRP Num 8 Number of walk trips in past week L3 -9 = Not Ascertained 28 384,993 Pre-911 Person
-8 = Don't Know 130 1,767,030  
-7 = Refused 1 6,441  
-1 = Appropriate Skip 4,748 65,777,556  
0 4,880 58,171,647  
1 1,149 14,689,982  
2 1,850 23,132,404  
3 2,174 26,197,749  
4 1,302 15,799,371  
5 1,487 17,544,721  
6 568 6,901,093  
7 2,196 25,280,390  
8 110 1,348,483  
9 40 455,696  
10 410 5,508,234  
11 7 110,967  
12 126 1,541,110  
13 8 108,155  
14 231 2,827,864  
15 147 2,002,862  
16 16 175,663  
17 4 51,233  
18 13 157,069  
19 3 31,625  
20 178 2,429,196  
21 75 815,967  
22 4 27,119  
23 2 16,989  
24 8 113,847  
25 66 853,943  
26 2 27,621  
28 27 311,650  
30 62 894,296  
35 31 269,971  
36 2 19,817  
38 1 29,496  
40 19 241,044  
42 5 38,775  
45 1 6,535  
48 1 25,258  
49 2 17,665  
50 55 671,963  
54 1 8,073  
55 1 11,124  
56 1 5,820  
60 7 98,045  
63 1 7,519  
70 14 151,348  
72 1 10,922  
75 3 28,708  
80 2 62,094  
84 3 32,540  
90 1 8,486  
OCCAT Char 2 Occupational category E7* -1 = Appropriate Skip 11,679 141,722,914 Pre-911 Person
-7 = Refused 3 29,067  
-8 = Don't Know 7 79,565  
-9 = Not Ascertained 3 68,288  
01 = Sales or Service 2,885 38,023,772  
02 = Clerical or administrative support 1,287 15,988,408  
03 = Manufacturing, construction, maintenance, or farming 2,132 28,702,042  
04 = Professional, managerial or technical 4,206 52,576,585  
91 = Other 2 17,527  
OUTCNTRY Char 2 Out of country entire travel day G10 -1 = Appropriate Skip 21,379 266,870,423 Pre-911 Person
-8 = Don't Know 1 2,728  
1 = Yes 40 604,807  
2 = No 784 9,730,211  
OUTOFTWN Char 2 Out of town entire travel day G9* -1 = Appropriate Skip 20,979 261,300,572 Pre-911 Person
-9 = Not Ascertained 1 10,840  
1 = Yes 626 7,801,176  
2 = No 598 8,095,582  
PAYPROF Char 2 Worked for pay or profit last week E4 -1 = Appropriate Skip 14,533 191,834,720 Pre-911 Person
-7 = Refused 8 100,316  
-8 = Don't Know 3 44,386  
-9 = Not Ascertained 8 121,116  
1 = Yes 740 9,428,091  
2 = No 6,912 75,679,540  
PERSONID     Person Identification Number         Pre-911 Person
PRCASEID     Composite person identification number         Pre-911 Person
PRMACT Char 2 Primary activity last week E3 -1 = Appropriate Skip 4,748 65,777,556 Pre-911 Person
-7 = Refused 6 74,978  
-8 = Don't Know 15 179,447  
-9 = Not Ascertained 8 121,116  
1 = Working 9,055 117,044,070  
2 = Temporarily absent from a job or business 730 9,013,094  
3 = Looking for work 297 4,761,552  
4 = A homemaker 1,770 20,325,834  
5 = Going to school 673 10,588,776  
6 = Retired 4,016 37,349,582  
7 = Doing something else 886 11,972,164  
PRMDRVR1 Char 2 HH vehicle of which respondent is primary driver C12* -1 = Appropriate Skip 8,530 116,621,094 Pre-911 Person
01 7,724 89,342,985  
02 4,539 53,321,340  
03 1,065 13,465,058  
04 253 3,224,477  
05 66 827,688  
06 18 250,334  
07 5 35,656  
08 2 34,384  
10 1 45,333  
11 1 39,820  
PRMDRVR2 Char 2 2nd HH vehicle of which respondent is primary driv C12* -1 = Appropriate Skip 20,554 259,456,587 Pre-911 Person
02 756 8,319,162  
03 589 6,192,099  
04 212 2,222,915  
05 63 721,737  
06 20 201,287  
07 6 52,800  
08 3 28,206  
09 1 13,376  
PRMDRVR3 Char 2 3rd HH vehicle of which respondent is primary driv C12* -1 = Appropriate Skip 21,895 274,048,150 Pre-911 Person
03 127 1,307,846  
04 107 1,076,952  
05 45 441,248  
06 19 189,249  
07 7 105,321  
08 3 24,168  
09 1 15,235  
PROXCAT Char 2 Proxy status of ext interview respondent * 1 = Proxy Required - 13 years or younger 4,120 57,599,932 Pre-911 Person
2 = Proxy Allowed - 14-15 years 591 7,660,686  
3 = Proxy Often - 16-17 years 275 3,796,018  
4 = Proxy for adult - 18 years or older 3,527 43,529,143  
5 = Interview completed by self, not proxy 13,691 164,622,389  
PROXY Char 2 Ext interview info from respondent or proxy E1 1 = Subject 13,691 164,622,389 Pre-911 Person
2 = Proxy 8,513 112,585,780  
PTUSED Char 2 Public transit use last 2 months L11 -1 = Appropriate Skip 4,748 65,777,556 Pre-911 Person
-8 = Don't Know 37 590,829  
-9 = Not Ascertained 15 252,684  
1 = Two or more days a week 754 12,580,649  
2 = About once a week 398 6,010,972  
3 = Once or twice a month 667 9,115,261  
4 = Less than once a month 637 7,925,578  
5 = Never 13,464 158,956,242  
6 = Not available 1,484 15,998,398  
RAIL Char 2 Rail (subway) category of HH * 1 = MSA has rail 4,901 71,651,359 Pre-911 Person
2 = MSA does not have rail, or hh not in an MSA 17,303 205,556,810  
R_AGEWGT Num 8 Age of respondent * 0 252 3,602,930 Pre-911 Person
1 222 3,122,250  
2 334 4,952,055  
3 303 4,105,410  
4 301 4,224,929  
5 283 4,082,550  
6 290 4,073,834  
7 295 4,123,984  
8 310 4,216,869  
9 302 4,172,908  
10 270 3,436,126  
11 339 4,907,364  
12 304 4,175,462  
13 316 4,415,784  
14 305 3,816,528  
15 306 4,086,739  
16 293 3,888,972  
17 259 3,503,814  
18 261 4,546,399  
19 164 3,163,907  
20 196 3,585,125  
21 185 3,258,735  
22 170 3,374,587  
23 159 2,946,417  
24 180 3,042,598  
25 191 3,490,865  
26 211 3,702,624  
27 193 3,433,702  
28 220 3,914,925  
29 261 4,156,946  
30 294 4,804,473  
31 264 4,494,436  
32 291 4,900,319  
33 269 4,478,253  
34 271 4,468,306  
35 292 4,086,289  
36 320 4,291,779  
37 328 4,076,917  
38 347 4,371,263  
39 311 4,361,237  
40 409 5,191,507  
41 336 4,456,667  
42 353 4,763,656  
43 347 4,550,488  
44 327 4,152,312  
45 373 3,795,846  
46 347 3,527,570  
47 384 3,905,555  
48 335 3,383,945  
49 367 3,858,687  
50 406 4,501,650  
51 306 3,039,090  
52 321 3,230,399  
53 343 3,433,122  
54 328 3,072,666  
55 264 2,449,821  
56 264 2,738,568  
57 280 2,849,076  
58 272 2,662,932  
59 250 2,458,397  
60 299 2,998,655  
61 200 1,913,611  
62 257 2,593,602  
63 210 2,076,183  
64 226 2,317,540  
65 228 2,019,135  
66 209 1,724,529  
67 228 2,278,299  
68 205 1,880,835  
69 200 1,630,243  
70 247 2,053,366  
71 172 1,492,764  
72 207 1,715,704  
73 198 1,777,379  
74 179 1,616,613  
75 196 1,758,476  
76 181 1,569,433  
77 148 1,343,115  
78 149 1,362,041  
79 152 1,390,623  
80 148 1,390,599  
81 107 937,049  
82 87 787,534  
83 94 889,069  
84 93 775,188  
85 65 550,650  
86 55 570,244  
87 45 455,322  
88 49 497,405  
89 24 230,209  
90 19 209,213  
91 18 197,595  
92 5 45,207  
93 9 79,130  
94 9 72,989  
95 1 10,743  
96 4 38,306  
97 3 19,603  
98 2 45,828  
99 1 6,758  
104 1 6,826  
R_RELAT Char 2 Respondent relationship to HH respondent C8* -7 = Refused 24 325,864 Pre-911 Person
-8 = Don't Know 3 62,793  
-9 = Not Ascertained 1 18,951  
1 = Self 9,445 110,789,147  
2 = Spouse 5,118 57,148,016  
3 = Child 5,745 80,859,122  
4 = Parent 503 6,266,863  
5 = Sibling 248 4,066,241  
6 = Other relative 551 8,860,021  
7 = Unmarried Partner 254 3,727,133  
8 = Non-relative 312 5,084,017  
R_SEX Char 2 Sex of respondent C8* 1 = Male 10,482 135,291,212 Pre-911 Person
2 = Female 11,722 141,916,957  
SAMEPLC Char 2 Stayed at same place all day G13 -1 = Appropriate Skip 19,798 247,819,997 Pre-911 Person
1 = Yes 2,406 29,388,172  
TDAYDATE Char 6 Travel day date (YYYYMM) * 200103 102 1,802,713 Pre-911 Person
200104 3,603 52,974,949  
200105 3,896 51,457,806  
200106 3,521 49,797,874  
200107 2,899 51,457,804  
200108 4,662 35,801,858  
200109 3,521 33,915,165  
TDBOA911 Char 1 Travel day before or on/after 9/11 * 1 = Travel day was before 9/11/01 20,706 262,690,750 Pre-911 Person
2 = Travel day was on or after 9/11/01 1,498 14,517,419  
TIMETOWK Num 8 Minutes to go to work last week E15 -9 = Not Ascertained 5 88,840 Pre-911 Person
-8 = Don't Know 43 534,560  
-7 = Refused 2 26,795  
-5 = Did Not work last week 280 3,316,778  
-4 = Did Not work in usual workplace last week 77 899,967  
-1 = Appropriate Skip 12,735 153,754,959  
1 134 1,547,966  
2 141 1,531,263  
3 158 2,012,133  
4 86 925,617  
5 655 7,941,628  
6 98 1,189,297  
7 185 2,505,708  
8 172 2,344,677  
9 27 264,615  
10 1,022 13,460,646  
11 30 310,534  
12 204 2,631,242  
13 56 736,500  
14 29 366,561  
15 1,290 17,474,209  
16 11 169,485  
17 50 558,535  
18 47 576,344  
19 4 24,415  
20 1,182 15,442,554  
21 2 22,954  
22 31 478,783  
23 14 143,706  
24 9 168,968  
25 704 8,904,907  
26 8 100,695  
27 12 167,583  
28 14 223,090  
29 2 11,863  
30 909 12,064,568  
32 3 28,492  
33 3 23,443  
34 2 26,881  
35 301 3,873,594  
36 2 27,854  
37 5 109,226  
38 7 66,821  
39 1 5,747  
40 315 4,433,945  
42 6 92,247  
43 2 22,803  
44 1 5,987  
45 413 5,916,290  
47 4 38,512  
48 4 60,930  
50 128 1,612,281  
52 3 29,966  
53 1 12,389  
55 49 560,968  
57 1 26,827  
60 261 3,804,709  
61 2 38,587  
64 1 10,321  
65 14 185,515  
66 1 7,626  
70 24 222,864  
71 1 32,771  
75 61 744,639  
80 18 225,801  
85 3 52,734  
87 1 9,340  
90 67 903,398  
95 3 38,758  
97 1 11,184  
100 8 106,316  
105 6 78,405  
110 1 5,828  
120 23 400,588  
125 1 22,432  
130 2 53,470  
140 1 7,680  
150 8 93,308  
180 7 99,242  
210 1 9,175  
215 1 14,207  
240 3 35,572  
270 2 25,136  
300 3 70,417  
TOT_DTM1 Num 8 Total Daily Trips- POV   0 3,868 51,165,531 Pre-911 Person
1 551 7,718,709  
2 4,403 54,957,149  
3 2,286 28,379,671  
4 3,467 43,788,118  
5 2,159 26,203,948  
6 2,001 24,038,844  
7 1,183 13,886,182  
8 841 9,960,132  
9 575 6,694,278  
10 343 4,111,230  
11 206 2,454,044  
12 158 1,901,820  
13 64 799,358  
14 29 391,922  
15 27 291,543  
16 21 213,630  
17 9 120,189  
18 6 72,191  
19 1 5,040  
20 3 20,690  
22 2 18,550  
23 1 15,400  
TOT_DTM2 Num 8 Total Daily Trips- Transit   0 21,792 269,605,425 Pre-911 Person
1 147 2,600,564  
2 211 4,066,741  
3 31 534,985  
4 15 251,441  
5 4 85,776  
6 2 32,915  
8 1 12,619  
9 1 17,703  
TOT_DTM3 Num 8 Total Daily Trips- School Bus   0 21,590 268,638,463 Pre-911 Person
1 206 3,158,812  
2 386 5,108,788  
3 11 146,224  
4 11 155,882  
TOT_DTM4 Num 8 Total Daily Trips- Walk   0 18,237 225,507,943 Pre-911 Person
1 1,216 15,130,740  
2 2,008 26,284,911  
3 289 3,939,925  
4 282 3,915,055  
5 66 998,897  
6 63 963,467  
7 19 192,458  
8 15 175,326  
9 1 14,231  
10 5 58,634  
11 1 7,956  
12 1 14,348  
13 1 4,277  
TOT_DTM5 Num 8 Total Daily Trips- Other   0 21,290 265,189,454 Pre-911 Person
1 360 4,924,749  
2 440 5,779,248  
3 54 585,149  
4 41 435,805  
5 7 112,122  
6 3 55,648  
7 4 54,762  
8 4 49,602  
16 1 21,630  
TOT_DTR1 Num 8 Total Daily Trips- Work   0 16,225 198,527,867 Pre-911 Person
1 217 3,032,227  
2 4,923 65,222,492  
3 511 6,406,028  
4 274 3,457,588  
5 24 287,312  
6 21 189,672  
7 4 41,091  
8 4 32,197  
11 1 11,694  
TOT_DTR2 Num 8 Total Daily Trips- Work Related   0 21,059 262,648,075 Pre-911 Person
1 380 4,880,071  
2 422 5,423,344  
3 147 1,767,534  
4 96 1,278,436  
5 39 500,866  
6 24 261,152  
7 18 149,960  
8 8 134,441  
9 5 90,145  
10 3 26,830  
11 2 32,851  
12 1 14,464  
TOT_DTR3 Num 8 Total Daily Trips- Family/Personal   0 8,879 114,472,304 Pre-911 Person
1 2,182 27,541,555  
2 4,263 53,183,074  
3 2,170 26,451,850  
4 1,925 23,658,426  
5 1,014 11,669,672  
6 771 8,892,045  
7 414 4,552,984  
8 260 2,866,043  
9 141 1,663,617  
10 88 1,042,510  
11 40 431,341  
12 27 381,273  
13 12 135,257  
14 9 171,756  
15 4 37,264  
16 3 31,822  
20 1 14,348  
24 1 11,025  
TOT_DTR4 Num 8 Total Daily Trips- Church/School   0 18,748 231,299,258 Pre-911 Person
1 425 5,444,863  
2 2,544 33,940,212  
3 206 2,991,470  
4 236 2,944,982  
5 26 359,729  
6 16 204,452  
8 2 16,470  
12 1 6,733  
TOT_DTR5 Num 8 Total Daily Trips- Social/Recreation   0 11,092 140,739,490 Pre-911 Person
1 2,217 27,264,100  
2 4,903 60,582,108  
3 1,538 18,867,024  
4 1,459 17,700,348  
5 546 6,706,886  
6 277 3,316,756  
7 107 1,217,258  
8 38 455,679  
9 16 254,010  
10 7 65,413  
11 3 31,141  
13 1 7,956  
TOT_DTR6 Num 8 Total Daily Trips- Other   0 21,754 271,386,442 Pre-911 Person
1 281 3,587,926  
2 128 1,794,484  
3 33 339,761  
4 6 69,983  
6 2 29,572  
TOT_TTM1 Num 8 Total Travel Period Trips-POV   0 13,437 175,706,293 Pre-911 Person
1 5,541 65,716,990  
2 1,861 21,080,502  
3 642 7,063,300  
4 320 3,202,228  
5 137 1,376,122  
6 55 532,227  
7 33 321,563  
8 32 318,789  
9 17 141,544  
10 13 212,095  
11 5 65,259  
12 19 207,863  
13 6 39,811  
14 6 71,710  
15 11 180,641  
16 3 25,761  
17 4 39,429  
18 5 78,540  
19 7 136,761  
20 22 334,625  
21 10 121,615  
22 2 20,704  
23 4 25,919  
24 6 128,928  
26 3 39,733  
27 2 12,165  
28 1 7,053  
TOT_TTM2 Num 8 Total Travel Period Trips-Air   0 21,080 263,983,329 Pre-911 Person
1 942 10,904,708  
2 134 1,720,078  
3 30 345,868  
4 8 146,683  
5 5 58,436  
6 3 29,066  
8 1 9,224  
12 1 10,776  
TOT_TTM3 Num 8 Total Travel Period Trips-Bus   0 21,929 273,465,528 Pre-911 Person
1 232 3,202,324  
2 29 405,740  
3 8 67,239  
4 4 33,205  
7 1 13,273  
17 1 20,860  
TOT_TTM4 Num 8 Total Travel Period Trips-Train   0 22,124 276,203,839 Pre-911 Person
1 66 818,164  
2 2 28,273  
3 5 76,694  
4 1 12,846  
5 1 20,050  
6 2 22,395  
8 2 18,947  
12 1 6,961  
TOT_TTM5 Num 8 Total Travel Period Trips-Ship   0 22,191 277,038,280 Pre-911 Person
1 12 149,638  
2 1 20,251  
TOT_TTM6 Num 8 Total Travel Period Trips-Other   0 22,193 277,094,177 Pre-911 Person
1 10 109,245  
10 1 4,747  
TOT_TTR1 Num 8 Total Travel Period Trips-Business   0 20,721 259,708,383 Pre-911 Person
1 792 9,454,748  
2 278 3,373,148  
3 100 1,020,718  
4 82 867,198  
5 37 395,551  
6 22 262,001  
7 22 234,131  
8 25 281,443  
9 9 74,447  
10 7 93,986  
11 2 14,897  
12 22 236,421  
13 4 29,754  
14 5 58,634  
15 9 134,853  
16 5 47,989  
17 3 32,946  
18 4 71,964  
19 8 170,286  
20 25 369,386  
21 8 108,369  
22 2 14,168  
23 4 58,154  
24 2 24,804  
25 2 21,322  
26 3 39,733  
27 1 8,735  
TOT_TTR2 Num 8 Total Travel Period Trips-Pleasure/Leisure   0 14,977 193,647,000 Pre-911 Person
1 5,250 61,315,883  
2 1,340 15,339,078  
3 397 4,438,734  
4 156 1,607,322  
5 48 473,624  
6 15 144,149  
7 8 61,370  
8 7 77,781  
9 1 13,493  
10 1 7,404  
11 1 24,976  
13 1 13,233  
15 1 23,263  
17 1 20,860  
TOT_TTR3 Num 8 Total Travel Period Trips-Personal Business   0 20,401 256,607,052 Pre-911 Person
1 1,349 15,681,921  
2 305 3,380,411  
3 79 883,357  
4 44 416,535  
5 11 100,269  
6 5 32,029  
7 2 11,995  
8 1 12,298  
9 1 10,870  
10 4 53,555  
11 1 13,038  
20 1 4,838  
TOT_TTR4 Num 8 Total Travel Period Trips-Other   0 21,720 271,721,214 Pre-911 Person
1 348 4,028,146  
2 111 1,248,672  
3 17 98,499  
4 4 66,938  
5 2 29,176  
9 1 4,747  
12 1 10,776  
TRAVDAY Char 1 Travel day - day of week * 1 = Sunday 3,229 39,838,300 Pre-911 Person
2 = Monday 3,114 39,838,300  
3 = Tuesday 3,341 38,178,372  
4 = Wednesday 3,047 38,178,368  
5 = Thursday 2,978 39,838,299  
6 = Friday 3,163 39,838,301  
7 = Saturday 3,332 41,498,229  
URBAN Char 2 Household in urbanized area * 1 = In an urban cluster 2,719 31,377,450 Pre-911 Person
2 = In an urban area 13,995 187,270,160  
3 = In an area surrounded by urban areas 21 190,527  
4 = Not in urban area 5,469 58,370,031  
URBRUR Char 2 Household in urban/rural area * 1 = Urban 16,735 218,838,138 Pre-911 Person
2 = Rural 5,469 58,370,031  
USEPUBTR Char 2 Used public transit on travel day G19 -1 = Appropriate Skip 2,502 30,677,014 Pre-911 Person
-8 = Don't Know 1 11,770  
-9 = Not Ascertained 7 136,475  
1 = Yes 692 11,334,582  
2 = No 19,002 235,048,327  
USULDRV Char 2 Usually drive alone or carpool to work E17 -1 = Appropriate Skip 13,745 168,176,690 Pre-911 Person
-8 = Don't Know 13 137,250  
-9 = Not Ascertained 26 404,882  
1 = Alone 7,684 97,676,695  
2 = Carpool 736 10,812,653  
WEBACC Char 2 Access to Internet in past 6 months M1 -1 = Appropriate Skip 4,746 65,730,243 Pre-911 Person
-7 = Refused 4 49,764  
-8 = Don't Know 6 97,025  
-9 = Not Ascertained 16 280,995  
1 = Yes 11,659 143,205,818  
2 = No 5,773 67,844,325  
WEBHOME Char 2 Use Internet from home M3 -1 = Appropriate Skip 11,452 143,983,543 Pre-911 Person
-7 = Refused 1 25,723  
-9 = Not Ascertained 4 56,836  
1 = Yes 9,251 112,867,718  
2 = No 1,496 20,274,347  
WEBOTHER Char 2 Use Internet from other than work & home M3 -1 = Appropriate Skip 11,452 143,983,543 Pre-911 Person
-7 = Refused 1 25,723  
-8 = Don't Know 8 111,824  
-9 = Not Ascertained 4 56,836  
1 = Yes 2,026 28,674,836  
2 = No 8,713 104,355,406  
WEBUSE Char 2 Frequency of Internet use last 6 months M2 -1 = Appropriate Skip 10,519 133,574,567 Pre-911 Person
-7 = Refused 6 51,504  
-8 = Don't Know 28 340,776  
-9 = Not Ascertained 16 280,995  
1 = Almost everyday 5,689 69,792,691  
2 = Several times a week 2,616 32,146,261  
3 = Once a week 1,326 16,774,091  
4 = Once a month 1,121 14,511,582  
5 = Never 883 9,735,701  
WEBWHER Char 2 Where use Internet M3* -1 = Appropriate Skip 5,629 75,465,944 Pre-911 Person
-7 = Refused 6 51,504  
-8 = Don't Know 28 340,776  
-9 = Not Ascertained 40 550,059  
01 = Home only 4,538 53,434,581  
02 = Work only 873 10,555,075  
03 = Other only 452 7,245,120  
04 = Home and Work 3,291 40,291,069  
05 = Home and Other 833 11,036,909  
06 = Work and Other 152 2,287,648  
07 = Home, Work, and Other 589 8,105,158  
08 = No internet access 5,773 67,844,325  
WEBWORK Char 2 Use Internet from work M3 -1 = Appropriate Skip 11,452 143,983,543 Pre-911 Person
-7 = Refused 1 25,723  
-8 = Don't Know 24 257,928  
-9 = Not Ascertained 4 56,836  
1 = Yes 4,905 61,238,951  
2 = No 5,818 71,645,187  
WHERBORN Char 2 Region of birth M9* -1 = Appropriate Skip 20,682 254,815,907 Pre-911 Person
-7 = Refused 9 186,176  
-8 = Don't Know 3 24,627  
-9 = Not Ascertained 17 299,998  
01 = US_Territories 57 1,012,094  
02 = Canada 100 997,223  
03 = Mexico 276 4,441,516  
04 = Central America 56 1,220,730  
05 = South America 87 1,363,182  
06 = Europe & Scandinavia/Polar Regions 260 2,846,357  
07 = Eastern Europe & Russia/USSR 95 1,117,849  
08 = Middle East 65 842,614  
09 = Africa 36 745,621  
10 = Indian Subcontinent 73 1,066,064  
11 = East Asia 196 2,749,710  
12 = Pacific Islands/ Australia 90 1,279,005  
13 = Caribbean/Atlantic Islands 99 2,138,982  
91 = Other 3 60,516  
WKFMHM2M Char 2 Work from home instead of workplace E19 -1 = Appropriate Skip 12,735 153,754,959 Pre-911 Person
-7 = Refused 1 20,353  
-8 = Don't Know 6 116,236  
-9 = Not Ascertained 5 88,840  
1 = Yes (worked home instead of at work) 986 11,682,971  
2 = No (never worked solely from home) 8,471 111,544,809  
WKFMHMXX Char 2 Frequency of working from home E20 -1 = Appropriate Skip 21,218 265,525,198 Pre-911 Person
-8 = Don't Know 3 32,067  
1 = Almost every day 229 2,406,872  
2 = Once a week or more 361 4,325,728  
3 = Once a month or more 221 2,673,938  
4 = A few times a year 155 2,069,901  
5 = Once a year 17 174,465  
WKFTPT Char 2 Work full or part time E5 -1 = Appropriate Skip 11,679 141,722,914 Pre-911 Person
-7 = Refused 2 17,583  
-8 = Don't Know 6 76,750  
-9 = Not Ascertained 3 68,288  
1 = Full-time 8,383 109,166,620  
2 = Part-time 2,082 25,548,101  
3 = Multiple Jobs 49 607,914  
WKSTFIPS Char 2 FIPS state code for work * -1 = Appropriate Skip 12,286 149,720,344 Pre-911 Person
-9 = Not Ascertained 5 75,522  
01 = Alabama (FIPS Code=01) 140 2,085,169  
02 = Alaska (FIPS Code=02) 1 12,213  
04 = Arizona (FIPS Code=04) 184 2,084,162  
05 = Arkansas (FIPS Code=05) 80 961,958  
06 = California (FIPS Code=06) 1,091 15,606,209  
08 = Colorado (FIPS Code=08) 205 2,325,822  
09 = Connecticut (FIPS Code=09) 97 1,386,757  
10 = Delaware (FIPS Code=10) 3 39,558  
11 = District of Columbia (FIPS Code=11) 2 34,865  
12 = Florida (FIPS Code=12) 434 6,481,197  
13 = Georgia (FIPS Code=13) 275 3,912,311  
15 = Hawaii (FIPS Code=15) 1 8,323  
16 = Idaho (FIPS Code=16) 8 63,632  
17 = Illinois (FIPS Code=17) 470 6,114,407  
18 = Indiana (FIPS Code=18) 212 2,307,743  
19 = Iowa (FIPS Code=19) 125 1,194,868  
20 = Kansas (FIPS Code=20) 152 1,689,563  
21 = Kentucky (FIPS Code=21) 123 1,616,915  
22 = Louisiana (FIPS Code=22) 117 1,871,360  
23 = Maine (FIPS Code=23) 5 38,130  
24 = Maryland (FIPS Code=24) 151 2,271,572  
25 = Massachusetts (FIPS Code=25) 258 3,568,231  
26 = Michigan (FIPS Code=26) 372 4,162,550  
27 = Minnesota (FIPS Code=27) 251 2,739,601  
28 = Mississippi (FIPS Code=28) 62 915,359  
29 = Missouri (FIPS Code=29) 236 2,839,574  
30 = Montana (FIPS Code=30) 5 35,806  
31 = Nebraska (FIPS Code=31) 2 11,172  
32 = Nevada (FIPS Code=32) 5 28,514  
33 = New Hampshire (FIPS Code=33) 7 80,488  
34 = New Jersey (FIPS Code=34) 225 3,268,763  
35 = New Mexico (FIPS Code=35) 7 114,939  
36 = New York (FIPS Code=36) 561 7,509,254  
37 = North Carolina (FIPS Code=37) 283 3,961,580  
38 = North Dakota (FIPS Code=38) 5 32,135  
39 = Ohio (FIPS Code=39) 488 5,852,340  
40 = Oklahoma (FIPS Code=40) 103 1,201,353  
41 = Oregon (FIPS Code=41) 164 1,445,302  
42 = Pennsylvania (FIPS Code=42) 505 5,972,006  
44 = Rhode Island (FIPS Code=44) 7 86,504  
45 = South Carolina (FIPS Code=45) 129 1,947,288  
46 = South Dakota (FIPS Code=46) 2 19,365  
47 = Tennessee (FIPS Code=47) 193 2,479,695  
48 = Texas (FIPS Code=48) 513 8,509,083  
49 = Utah (FIPS Code=49) 82 731,647  
50 = Vermont (FIPS Code=50) 2 9,641  
51 = Virginia (FIPS Code=51) 242 3,596,239  
53 = Washington (FIPS Code=53) 290 2,990,315  
54 = West Virginia (FIPS Code=54) 10 126,623  
55 = Wisconsin (FIPS Code=55) 258 2,525,130  
56 = Wyoming (FIPS Code=56) 2 12,956  
XX = Suppressed, HH in state of less than 2 million 768 8,532,112  
WORKER Char 2 Respondent has a job E3* -1 = Appropriate Skip 4,359 60,406,420 Pre-911 Person
-9 = Not Ascertained 46 619,562  
1 = Yes 11,280 144,993,222  
2 = No 6,519 71,188,965  
WORKGEO Char 2 Level of geocoding work location * -1 = Appropriate Skip 12,312 150,058,245 Pre-911 Person
1 = Street address 5,887 74,375,539  
2 = Nearest intersection 3,315 43,739,049  
3 = Landmark 22 359,338  
4 = Zip code centroid 406 5,092,843  
5 = Place name or employer 93 1,252,590  
6 = City / County centroid 137 1,868,710  
7 = State centroid 27 386,333  
8 = Unable to geocode 5 75,522  
WORKSTAT Char 2 Workplace state E10* -1 = Appropriate Skip 12,735 153,754,959 Pre-911 Person
-7 = Refused 24 334,780  
-8 = Don't Know 44 553,002  
-9 = Not Ascertained 4 78,598  
AL = Alabama 130 1,958,940  
AR = Arkansas 74 889,262  
AZ = Arizona 171 1,977,293  
CA = California 1,040 15,047,839  
CO = Colorado 187 2,164,298  
CT = Connecticut 93 1,313,486  
FL = Florida 416 6,339,861  
GA = Georgia 259 3,842,890  
IA = Iowa 120 1,133,094  
IL = Illinois 450 5,892,031  
IN = Indiana 201 2,214,084  
KS = Kansas 140 1,591,539  
KY = Kentucky 118 1,556,084  
LA = Louisiana 116 1,851,062  
MA = Massachusetts 251 3,501,282  
MD = Maryland 135 2,110,487  
MI = Michigan 365 4,183,465  
MN = Minnesota 236 2,591,825  
MO = Missouri 223 2,683,109  
MS = Mississippi 58 845,005  
NC = North Carolina 269 3,850,481  
NJ = New Jersey 216 3,145,436  
NY = New York 532 7,167,185  
OH = Ohio 469 5,699,937  
OK = Oklahoma 98 1,166,632  
OR = Oregon 157 1,401,300  
PA = Pennsylvania 477 5,754,432  
SC = South Carolina 125 1,911,092  
TN = Tennessee 189 2,465,859  
TX = Texas 484 8,131,830  
UT = Utah 78 695,361  
VA = Virginia 232 3,500,846  
VI = Virgin Islands 4 53,439  
WA = Washington 275 2,946,276  
WI = Wisconsin 241 2,377,677  
XX = Suppressed, HH in state of less than 2 million 768 8,532,112  
WRKCOUNT Num 8 Number of HH members with jobs E3* 0 3,643 35,279,813 Pre-911 Person
1 6,493 83,174,875  
2 9,191 118,719,062  
3 2,071 28,569,269  
4 642 9,244,937  
5 132 1,625,951  
6 32 594,263  
WRKDRIVE Char 2 Job requires driving a motor vehicle E8 -1 = Appropriate Skip 12,770 156,948,848 Pre-911 Person
-7 = Refused 1 10,872  
-8 = Don't Know 4 48,475  
-9 = Not Ascertained 12 146,821  
1 = Yes 2,107 26,392,643  
2 = No 7,310 93,660,509  
WRKTRANS Char 2 Transportation mode to work last week E16 -1 = Appropriate Skip 13,092 157,971,704 Pre-911 Person
-7 = Refused 1 20,353  
-8 = Don't Know 7 130,177  
-9 = Not Ascertained 5 88,840  
01 = Car 5,689 74,909,919  
02 = Van 573 6,980,086  
03 = SUV 690 8,333,052  
04 = Pickup truck 1,407 17,585,873  
05 = Other truck 53 654,755  
07 = Motorcycle 47 567,793  
08 = Commercial/charter airplane 6 112,411  
09 = Private/corporate airplane 1 11,737  
10 = Local public transit bus 140 2,652,981  
11 = Commuter bus 16 202,524  
12 = School bus 9 148,787  
13 = Charter/tour bus 4 89,440  
14 = City to city bus 2 33,881  
15 = Amtrak/inter city train 6 108,761  
16 = Commuter train 52 792,792  
17 = Subway/elevated rail 67 1,422,965  
18 = Street car/trolley 2 27,462  
20 = Passenger line/ferry 3 36,356  
21 = Sailboat/motorboat/yacht 1 11,581  
22 = Taxicab 5 91,541  
24 = Hotel/airport shuttle 1 7,462  
25 = Bicycle 49 605,055  
26 = Walk 265 3,511,793  
91 = Other 11 98,086  
WRKTRPS Char 2 Made more than 10 trips for job G5 -1 = Appropriate Skip 20,097 250,815,526 Pre-911 Person
-8 = Don't Know 9 126,089  
1 = Yes 206 2,965,252  
2 = No 1,892 23,301,302  
WTPRNTL Num 8 Person Wt - At least 50% completed-NATL         Pre-911 Person
YEARMILE Num 8 Miles respondent drove last 12 months L5 -9 = Not Ascertained 53 767,209  
-8 = Don't Know 2,846 35,048,729 Pre-911 Person
-7 = Refused 6 67,364  
-1 = Appropriate Skip 6,273 87,926,899  
0 - 200000 185 2,654,139  
YRMLCAP Char 2 Year miles was capped * -1 = Appropriate Skip 9,178 123,810,201 Pre-911 Person
1 = Yes 5 84,177  
2 = No 13,021 153,313,791  
YRMLCAT Char 2 Annual mileage range for subject L5B -1 = Appropriate Skip 19,254 240,884,544 Pre-911 Person
-7 = Refused 2 29,798  
-8 = Don't Know 123 1,659,092  
-9 = Not Ascertained 23 265,841  
1 = 5,000 miles or less 1,450 17,114,984  
2 = 5,001 to 10,000 miles 627 7,991,424  
3 = 10,001 to 15, 000 miles 338 4,089,017  
4 = 15,001 to 20,000 miles 196 2,525,154  
5 = More than 20,000 miles 191 2,648,315  
YRTOUS Char 4 Year entered U.S. M10* -1 = Appropriate Skip 20,682 254,815,907 Pre-911 Person
-7 = Refused 9 151,704  
-8 = Don't Know 23 330,772  
-9 = Not Ascertained 64 1,114,250  
1958 400 4,418,030  
1970 27 377,397  
1971 19 298,008  
1972 13 126,348  
1973 22 268,438  
1974 17 231,448  
1975 24 393,859  
1976 20 285,860  
1977 16 208,702  
1978 27 383,228  
1979 30 498,117  
1980 38 712,785  
1981 34 545,183  
1982 35 397,204  
1983 35 574,072  
1984 33 476,857  
1985 27 421,855  
1986 44 691,775  
1987 23 405,530  
1988 35 504,383  
1989 54 855,675  
1990 41 659,466  
1991 37 658,276  
1992 38 707,109  
1993 31 500,479  
1994 32 482,753  
1995 34 489,663  
1996 46 747,488  
1997 41 662,702  
1998 42 698,943  
1999 54 985,010  
2000 43 898,772  
2001 14 230,121  
Research and Innovative Technology Administration (RITA) • U.S. Department of Transportation (US DOT)
1200 New Jersey Avenue, SE • Washington, DC 20590 • 800-853-1351 • E-mail RITA

Accessibility | Disclaimer | Fast Lane | FedStats | Freedom of Information Act | No FEAR Act | OIG Hotline | Privacy Policy | RSS | USA.gov | White House | Wireless

Plug-ins: PDF Reader | Flash Player | Excel Viewer | PowerPoint Viewer | Word Viewer | WinZip