/*----------------------------------------------------------------------------- * File: formats.sas. * * Version 1.0, 9/11/97 (rtg). * * 1995 NPTS SAS format library. * Created at ORNL for use online and general public consumption. * No rights reserved. */ libname library 'c:\npts\1995\Data\SAS'; proc datasets library=library nolist; delete formats / memtype=catalog; run; proc format library =library; value $ADDTYPE 01 = 'Home-street address' 02 = 'Home-PO box or RR' 03 = 'Work/Other'; value $ALWYSDR 01 = 'Always drive' 02 = 'Share the driving' 03 = 'Rarely or never drive' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $AWAYHOM 01 = 'At work' 02 = 'Work related business' 04 = 'Shopping' 05 = 'At school' 06 = 'At religious activity' 07 = 'Medical/Dental' 08 = 'Other family or personal business' 09 = 'Take someone somewhere' 10 = 'Pick up someone' 11 = 'Vacation' 12 = 'Visit Friends or relatives' 13 = 'Went out to eat' 14 = 'Other social/recreational' 16 = 'Other specify' 17 = 'Home' 94 = 'Legitimate skip' 98 = 'Not ascertained'; value $CENSUSD 01 = 'New England' 02 = 'Middle Atlantic' 03 = 'East North Central' 04 = 'West North Central' 05 = 'South Atlantic' 06 = 'East South Central' 07 = 'West South Central' 08 = 'Mountain' 09 = 'Pacific'; value $CENSUSR 01 = 'Northeast' 02 = 'North Central' 03 = 'South' 04 = 'West'; value $COUNTRY 001 = 'Inside the United States' 007 = 'USSR' 030 = 'Greece' 031 = 'Netherlands' 032 = 'Belgium' 033 = 'France' 039 = 'Italy' 041 = 'Switzerland' 043 = 'Austria' 044 = 'United Kingdom' 049 = 'Germany' 051 = 'Peru' 052 = 'Mexico' 055 = 'Brazil' 062 = 'Indonesia' 066 = 'Thailand' 081 = 'Japan' 082 = 'Republic of Korea' 086 = 'China' 216 = 'Tunisia' 297 = 'Aruba' 351 = 'Portugal' 353 = 'Ireland' 358 = 'Finland' 501 = 'Belize' 507 = 'Panama' 509 = 'Haiti' 809 = 'The Caribbean' 852 = 'Hong Kong' 962 = 'Jordan' 972 = 'Israel' 981 = 'British Columbia, Canada' 982 = 'Quebec, Canada' 983 = 'Ontario, Canada' 984 = 'New Brunswick, Canada' 985 = 'Unknown Province in Canada' 998 = 'Not ascertained'; value $DAYNIGHT AM = 'Trip started AM' PM = 'Trip started PM' 98 = 'Not ascertained' 99 = 'Refused'; value $DESTSTAT 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $DIARYCM 01 = 'Completed on own' 02 = 'Someone else completed it' 03 = 'Diary was not completed at all' 04 = 'Did nor receive materials' 98 = 'Not ascertained'; value $DTACDT 01 = 'Large problem' 02 = 'Small problem' 03 = 'No problem at all' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $EDIT_WHY . = 'Trip reason not edited' 1 = 'Trip reason edited'; value $EDUC 01 = 'First grade' 02 = 'Second grade' 03 = 'Third grade' 04 = 'Fourth grade' 05 = 'Fifth grade' 06 = 'Sixth grade' 07 = 'Seventh grade' 08 = 'Eighth grade' 09 = 'Ninth grade' 10 = 'Tenth grade' 11 = 'Eleventh grade' 12 = 'Twelfth grade' 13 = 'Technical school after high school' 21 = '1st (Freshman) year of college' 22 = '2nd (Sophomore) year of college' 23 = '3rd (Junior) year of college' 24 = '4th (Senior) year of college' 25 = 'Some graduate / prof degree' 26 = 'Graduate / prof school' 31 = 'One year of graduate school' 32 = 'Two or more years of graduate school' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $FLAGODO 01 = 'Incomplete information' 02 = 'Negative odometer reading' 03 = 'Odometer reading too large' 04 = 'Odometer reading < 6 weeks' 05 = 'Incomplete info and negative odometer reading' 06 = 'Negative odometer reading and < 6 weeks' 07 = 'Odometer reading too large and < 6 weeks' 08 = 'Other: no primary driver of vehicle' 09 = 'Other: vehicle type is motorcycle' 94 = 'Legitimate skip'; value $FLAGOUT 01 = 'Less than 0.25x the self-estimated' 02 = 'Greater than 4x the self-estimated' 03 = 'Final annualized odometer > 115K miles' 04 = 'Greater than 4X the self-estimated annual miles' 94 = 'Legitimate skip'; value $FQSTBEL 01 = 'Always' 02 = 'Most of the time' 03 = 'Sometimes' 04 = 'Never' 98 = 'Not ascertained' 99 = 'Refused'; value $FROM_A 8 = 'Not ascertained' H = 'Home' S = 'Other' W = 'Work'; value GHMXIN 0 = 'Address match' 2 = 'Zip + 2 match' 4 = 'Zip + 4 match' 5 = 'Five digit zip centroid'; value GWKXIN 0 = 'Street address level match' 2 = 'Zip + 2 centroid' 4 = 'Zip + 4 centroid' 5 = '5 digit zip code centroid' 94 = 'Legitimate skip' 98 = 'Not ascertained'; value HB_PCT 0 = '0 to 4%' 10 = '5 to 14%' 20 = '15 to 24%' 30 = '25 to 34%' 40 = '35 to 44%' 50 = '45 to 54%' 60 = '55 to 64%' 70 = '65 to 74%' 80 = '75 to 84%' 90 = '85 to 94%' 95 = '95 to 100%' 998 = 'Not ascertained' . = 'Not ascertained'; value HBHINMED 15000 = '0 to 20K' 22000 = '20K to 25K' 27000 = '25K to 30K' 32000 = '30K to 35K' 37000 = '35K to 40K' 45000 = '40K to 50K' 60000 = '50K to 70K' 80000 = '70K to 999K' 999998 = 'Not ascertained' . = 'Not ascertained'; value HBHMEDHS 30000 = '0 to 50K' 60000 = '50K to 70K' 85000 = '70K to 100K' 125000 = '100K to 150K' 175000 = '150K to 200K' 300000 = '200K to 999K' 999998 = 'Not ascertained' . = 'Not ascertained'; value HBHRESDN 25 = '0 to 50' 150 = '50 to 250' 700 = '250 to 1000' 2000 = '1000 to 3000' 4000 = '3000 to 5000' 6000 = '5000 to 999K' 999998 = 'Not ascertained' . = 'Not ascertained'; value $HBHUR 8 = 'Not ascertained' C = 'Second city' R = 'Rural' S = 'Suburban' T = 'Town' U = 'Urban'; value HBPPOPDN 50 = '0 to 100' 300 = '100 to 500' 750 = '500 to 1K' 1500 = '1K to 2K' 3000 = '2K to 4K' 7000 = '4K to 10K' 17000 = '10K to 25K' 30000 = '25K to 999K' 999998 = 'Not ascertained' . = 'Not ascertained'; value HBPPOPNO 500 = '0 to 1000' 1250 = '1000 to 1500' 1750 = '1500 to 2000' 2500 = '2000 to 3000' 3500 = '3000 to 4000' 999998 = 'Not ascertained' . = 'Not ascertained'; value $HHCMSA 1602 = 'Chicago-Gary-Kenosha, IL-IN-WI' 1642 = 'Cincinnati-Hamilton, OH-KY-IN C' 1692 = 'Cleveland-Akron, OH CMSA' 1922 = 'Dallas-Fort Worth, TX CMSA' 2082 = 'Denver-Boulder-Greeley, CO CMSA' 2162 = 'Detroit-Ann Arbor-Flint, MI CMS' 3362 = 'Houston-Galveston-Brazoria,TX' 4472 = 'Los Angeles-Riverside-Orange Co' 4992 = 'Miami-Fort Lauderdale, FL CMSA' 5082 = 'Milwaukee-Racine, WI CMSA' 5602 = 'New-York-No. New Jersey-Long Is' 6162 = 'Philadelphia-Wilmington-Atlantic' 6442 = 'Portland-Salem, OR-WA CMSA' 6922 = 'Sacramento-Yolo, CA CMSA' 7362 = 'San Francisco-Oakland-San Jose' 7602 = 'Seattle-Tacoma-Bremerton, WA CM' 8872 = 'Washington-Baltimore, DC-MD-VA-' 9998 = 'Not in a CMSA'; value $HHFAMIN 01 = 'Less than $5,000' 02 = '$5,000 to $9,999' 03 = '$10,000 to $14,999' 04 = '$15,000 to $19,999' 05 = '$20,000 to $24,999' 06 = '$25,000 to $29,999' 07 = '$30,000 to $34,999' 08 = '$35,000 to $39,999' 09 = '$40,000 to $44,999' 10 = '$45,000 to $49,999' 11 = '$50,000 to $54,999' 12 = '$55,000 to $59,999' 13 = '$60,000 to $64,999' 14 = '$65,000 to $69,999' 15 = '$70,000 to $74,999' 16 = '$75,000 to $79,999' 17 = '$80,000 or more' 18 = '$100,000 and over' 94 = 'Legitimate skip' 98 = 'Not Ascertained' 99 = 'Refused'; value $HHMEMDR 01 = 'Yes' 02 = 'Part of trip' 03 = 'No' 94 = 'Legitimate skip' 98 = 'Not applicable' 99 = 'Not ascertained'; value $HHMSA 0080 = 'Akron, OH' 0360 = 'Anaheim-Santa Ana, CA' 0440 = 'Ann Arbor, MI' 0520 = 'Atlanta, GA' 0620 = 'Aurora-Elgin, IL' 0720 = 'Baltimore, MD' 0845 = 'Beaver County, PA' 0875 = 'Bergen-Passaic, NJ' 1123 = 'Boston, MA' 1125 = 'Boulder-Longmont, CO' 1145 = 'Brazoria, TX' 1160 = 'Bridgeport-Milford, CT' 1170 = 'Bristol, CT' 1200 = 'Brockton, MA' 1280 = 'Buffalo, NY' 1520 = 'Charlotte-Gastonia-Rock Hill, NC-SC' 1600 = 'Chicago, IL' 1640 = 'Cincinnati, OH-KY-IN' 1680 = 'Cleveland, OH' 1840 = 'Columbus, OH' 1920 = 'Dallas, TX' 1930 = 'Danbury, CT' 2080 = 'Denver, CO' 2160 = 'Detroit, MI' 2480 = 'Fall River, MA-RI' 2680 = 'Fort Lauderdale-Hollywood-Pompano Beach, FL' 2800 = 'Fort Worth-Arlington, TX' 2920 = 'Galveston-Texas City, TX' 2960 = 'Gary-Hammond, IN' 3120 = 'Greensboro/Winston Salem/Highpoint' 3200 = 'Hamilton-Middletown, OH' 3283 = 'Hartford, CT' 3360 = 'Houston, TX' 3480 = 'Indianapolis, IN' 3640 = 'Jersey City, NJ' 3690 = 'Joliet, IL' 3760 = 'Kansas City, MO-KS' 3800 = 'Kenosha, WI' 3965 = 'Lake County, IL' 4120 = 'Las Vegas/Nevada/AZ' 4160 = 'Lawrence-Haverhill, MA-NH' 4440 = 'Lorain-Elyria, OH' 4480 = 'Los Angeles-Long Beach, CA' 4560 = 'Lowell, MA-NH' 4920 = 'Memphis Tenn/AR/MS' 5000 = 'Miami-Hialeah, FL' 5015 = 'Middlesex-Somerset-Hunterdon, NJ' 5020 = 'Middletown, CT' 5080 = 'Milwaukee, WI' 5120 = 'Minneapolis-St. Paul, MN-WI' 5190 = 'Monmouth-Ocean, NJ' 5350 = 'Nashua, NH' 5360 = 'Nashville' 5380 = 'Nassau-Suffolk, NY' 5440 = 'New Britain, CT' 5483 = 'New Haven/Bridgeport/Stamford CT' 5560 = 'New Orleans, LA' 5600 = 'New York, NY' 5640 = 'Newark, NJ' 5700 = 'Niagara Falls, NY' 5720 = 'Norfolk-Virginia Beach-Newport News, VA' 5760 = 'Norwalk, CT' 5775 = 'Oakland, CA' 5880 = 'Oklahoma City' 5945 = 'Orange Co CA' 5950 = 'Orange County, NY' 5960 = 'Orlando, FL' 6000 = 'Oxnard-Ventura, CA' 6060 = 'Pawtucket-Woonsocket-Attleboro, RI-MA' 6160 = 'Philadelphia, PA-NJ' 6200 = 'Phoenix, AZ' 6280 = 'Pittsburgh, PA' 6440 = 'Portland, OR' 6480 = 'Providence, RI' 6600 = 'Racine, WI' 6780 = 'Riverside-San Bernardino, CA' 6840 = 'Rochester, NY' 6920 = 'Sacramento, CA' 7040 = 'St. Louis, MO-IL' 7090 = 'Salem-Gloucester, MA' 7160 = 'Salt Lake City-Ogden, UT' 7240 = 'San Antonio, TX' 7320 = 'San Diego, CA' 7360 = 'San Francisco, CA' 7400 = 'San Jose, CA' 7485 = 'Santa Cruz, CA' 7500 = 'Santa Rosa-Petaluma, CA' 7600 = 'Seattle, WA' 8040 = 'Stamford, CT' 8200 = 'Tacoma, WA' 8280 = 'Tampa-St. Petersburg-Clearwater, FL' 8480 = 'Trenton, NJ' 8720 = 'Vallejo-Fairfield-Napa, CA' 8725 = 'Vancouver, WA' 8760 = 'Vineland-Millville-Bridgeton, NJ' 8840 = 'Washington, DC-MD-VA' 9160 = 'Wilmington, DE-NJ-MD'; Value $HHRESP 01 = '01' 02 = '02' 03 = '03' 04 = '04' 05 = '05' 06 = '06' 07 = '07' 08 = '08' 98 = 'Not ascertained' 99 = 'Refused'; Value $HHSTATE . = 'State population less than 2,000,000'; Value HHSTFIPS 01 = 'Alabama' 02 = 'Alaska' 04 = 'Arizona' 05 = 'Arkansas' 06 = 'California' 08 = 'Colorado' 09 = 'Connecticut' 10 = 'Delaware' 11 = 'District of Columbia' 12 = 'Florida' 13 = 'Georgia' 15 = 'Hawaii' 16 = 'Idaho' 17 = 'Illinois' 18 = 'Indiana' 19 = 'Iowa' 20 = 'Kansas' 21 = 'Kentucky' 22 = 'Louisiana' 23 = 'Maine' 24 = 'Maryland' 25 = 'Massachusetts' 26 = 'Michigan' 27 = 'Minnesota' 28 = 'Mississippi' 29 = 'Missouri' 30 = 'Montana' 31 = 'Nebraska' 32 = 'Nevada' 33 = 'New Hampshire' 34 = 'New Jersey' 35 = 'New Mexico' 36 = 'New York' 37 = 'North Carolina' 38 = 'North Dakota' 39 = 'Ohio' 40 = 'Oklahoma' 41 = 'Oregon' 42 = 'Pennsylvania' 44 = 'Rhode Island' 45 = 'South Carolina' 46 = 'South Dakota' 47 = 'Tennessee' 48 = 'Texas' 49 = 'Utah' 50 = 'Vermont' 51 = 'Virginia' 53 = 'Washington' 54 = 'West Virginia' 55 = 'Wisconsin' 56 = 'Wyoming' 98 = 'State population less than 2,000,000'; value $HH_HISP 01 = 'Hispanic' 02 = 'Not Hispanic' 98 = 'Not ascertained' 99 = 'Refused'; value $HH_RACE 01 = 'White' 02 = 'African-american' 03 = 'Asian' 04 = 'Other' 98 = 'Not ascertained' 99 = 'Refused'; value $HOMEOWN 01 = 'Owned' 02 = 'Rented' 03 = 'Provided by job/military' 04 = 'Other' 98 = 'Not ascertained' 99 = 'Refused'; value $HOMETYP 01 = 'Single house' 02 = 'Duplex' 03 = 'Rowhouse or townhouse' 04 = 'Apartment' 05 = 'Mobile home or trailer' 06 = 'Other' 98 = 'Not ascertained' 99 = 'Refused'; value $HOWFARU 98 = 'Not ascertained' 99 = 'Refused' B = 'Reported in blocks' M = 'Reported in miles'; value $HSTORIE 01 = '5 or more stories' 02 = 'Less than 5 stories' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value HTEEMPDN 25 = '0 to 49' 150 = '100 to 249' 350 = '250 to 500' 750 = '500 to 1000' 1500 = '1K to 2000' 3000 = '2K to 4000' 5000 = '4K to 999K' 999998 = 'Not ascertained' . = 'Not ascertained'; value HTPPOPDN 50 = '0 to 100' 300 = '100 to 500' 750 = '500 to 1K' 1500 = '1K to 2K' 3000 = '2K to 4K' 7000 = '4K to 10K' 17000 = '10K to 25K' 35000 = '25K to 999K' 999998 = 'Not ascertained' . = 'Not ascertained'; value HTPPOPNO 1500 = '0 to 3K' 4000 = '3K to 5K' 6000 = '5K to 7K' 8000 = '7K to 10K' 12000 = '10K to 999K' 999998 = 'Not ascertained' . = 'Not ascertained'; value $JOBLSTW 01 = 'Full time' 02 = 'Part time' 03 = 'Not at all' 04 = 'Retired' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $LIF_CYC 01 = 'Single adult, no children' 02 = 'Two or more adults, no children' 03 = 'Single adult, youngest child age 0-5' 04 = 'Two or more adults, youngest child age 0-5' 05 = 'Single adult, youngest child age 6-15' 06 = 'Two or more adults, youngest child age 6-15' 07 = 'Single adult, youngest child age 16-21' 08 = 'Two or more adults, youngest child age 16-21' 09 = 'Single adult, retired, no children' 10 = 'Two or more adults, retired, no children' 98 = 'Not ascertained'; value $MAKECOD 001 = 'American Motors' 002 = 'Jeep (includes Kaiser jeep)' 003 = 'AM General' 006 = 'Chrysler' 007 = 'Dodge' 008 = 'Imperial' 009 = 'Plymouth' 010 = 'Eagle' 012 = 'Ford' 013 = 'Lincoln' 014 = 'Mercury' 018 = 'Buick' 019 = 'Cadillac' 020 = 'Chevrolet' 021 = 'Oldsmobile' 022 = 'Pontiac' 023 = 'GMC' 024 = 'Saturn' 029 = 'Other domestic' 030 = 'Volkswagen' 031 = 'Alfa Romeo' 032 = 'Audi' 033 = 'Austin/Austin Healey' 034 = 'BMW' 035 = 'Nissan/Datsun' 036 = 'Fiat' 037 = 'Honda' 038 = 'Isuzu' 039 = 'Jaguar' 040 = 'Lancia' 041 = 'Mazda' 042 = 'Mercedes Benz' 043 = 'MG' 044 = 'Peugeot' 045 = 'Porsche' 046 = 'Renault' 047 = 'Saab' 048 = 'Subaru' 049 = 'Toyota' 050 = 'Triumph' 051 = 'Volvo' 052 = 'Mitsubishi' 053 = 'Suzuki' 054 = 'Acura' 055 = 'Hyundai' 056 = 'Merkur' 057 = 'Yugo' 058 = 'Infiniti' 059 = 'Lexus' 060 = 'Daihatsu' 069 = 'Other foreign' 084 = 'International Harvester/Navistar' 089 = 'Other medium/heavy trucks and buses' 099 = 'Unknown' 994 = 'Legitimate skip'; value $MILELIM . = 'Not capped' 1 = 'Capped at 155,000'; value $MSASIZE 01 = 'Less than 250,000' 02 = '250,000 to 499,999' 03 = '500,000 to 999,999' 04 = '1,000,000 to 2,999,999' 05 = '3,000,000 or more' 94 = 'Not in MSA'; value $NONFMIN 01 = 'Less than $5,000' 02 = '$5,000 to $9,999' 03 = '$10,000 to $14,999' 04 = '$15,000 to $19,999' 05 = '$20,000 to $24,999' 06 = '$25,000 to $29,999' 07 = '$30,000 to $34,999' 08 = '$35,000 to $39,999' 09 = '$40,000 to $44,999' 10 = '$45,000 to $49,999' 11 = '$50,000 to $54,999' 12 = '$55,000 to $59,999' 13 = '$60,000 to $64,999' 14 = '$65,000 to $69,999' 15 = '$70,000 to $74,999' 16 = '$75,000 to $79,999' 17 = '$80,000 or more' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $NOTELWK 99 = 'Refused'; value $OUTCNTR 01 = 'Out of country' 02 = 'Was not out of country'; value $OVERLAP 01 = 'Trip also on Period Trip file' 02 = 'Trip not on Period Trip file' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $P_REL 01 = 'Reference Person' 02 = 'Spouse' 03 = 'Child' 04 = 'Parent' 05 = 'Brother/Sister' 06 = 'Other relative' 07 = 'Unmarried partner' 08 = 'Non-relative'; value $P_SEX 01 = 'Male' 02 = 'Female'; value $P_STAT 01 = 'Ineligible, too young' 02 = 'Other ineligible' 03 = 'Complete, self interview' 04 = 'Complete, proxy interview' 05 = 'No contact made' 06 = 'Refused' 07 = 'Contact made, time expired' 08 = 'Other non-interview' 99 = 'Legitimate skip'; value $PARKCODE 01 = 'Per hour' 02 = 'Per day' 03 = 'Per week' 04 = 'Per month' 05 = 'per Year' 06 = 'Per Quarter' 07 = 'Other' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $PASSPUR 01 = 'At work' 02 = 'Work related business' 03 = 'Return to work' 04 = 'Shopping' 05 = 'At school' 06 = 'At religious activity' 07 = 'Medical/Dental' 08 = 'Other family or personal business' 09 = 'Take someone somewhere' 10 = 'Pick up someone' 11 = 'Vacation' 12 = 'Visit Friends or relatives' 13 = 'Went out to eat' 14 = 'Other social/recreational' 15 = 'Change means of transportation' 16 = 'Other specify' 17 = 'Home' 94 = 'Legitimate skip' 98 = 'Not ascertained'; value $PROXY 01 = 'Proxy interview' 02 = 'Not a proxy interview/self' 98 = 'Not ascertained'; value $PT 01 = 'Large problem' 02 = 'Small Problem' 03 = 'No problem at all' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $PTUSED 01 = 'Two or more days/week' 02 = 'About once a week' 03 = 'Once or twice a month' 04 = 'Less than once a month' 05 = 'Never' 06 = 'Not available' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value PURCHMON 1 = 'January' 2 = 'February' 3 = 'March' 4 = 'April' 5 = 'May' 6 = 'June' 7 = 'July' 8 = 'August' 9 = 'September' 10 = 'October' 11 = 'November' 12 = 'December' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $REF_EDU 01 = 'First grade' 02 = 'Second grade' 03 = 'Third grade' 04 = 'Fourth grade' 05 = 'Fifth grade' 06 = 'Sixth grade' 07 = 'Seventh grade' 08 = 'Eighth grade' 09 = 'Ninth grade' 10 = 'Tenth grade' 11 = 'Eleventh grade' 12 = 'Twelfth grade' 13 = 'Technical school (post high school)' 21 = '1st (Freshman) year of college' 22 = '2nd (Sophomore) year of college' 23 = '3rd (Junior) year of college' 24 = '4th (Senior) year of college' 25 = 'Some grad/prof school' 26 = 'Grad/prof school degree' 31 = 'One year of graduate school' 32 = 'Two or more years of graduate school' 98 = 'Not ascertained' 99 = 'Refused'; value $REF_SEX 01 = 'Male' 02 = 'Female' 98 = 'Not ascertained' 99 = 'Refused'; value $REF_STAT 01 = 'Ineligible, too young' 02 = 'Other ineligible' 03 = 'Complete, self interview' 04 = 'Complete, proxy interview' 05 = 'No contact made' 06 = 'Refused' 07 = 'Contact made, time expired' 08 = 'Other non-interview' 94 = 'Legitimate skip'; value $RET_MON 1 = 'January' 2 = 'February' 3 = 'March' 4 = 'April' 5 = 'May' 6 = 'June' 7 = 'July' 8 = 'August' 9 = 'September' 10 = 'October' 11 = 'November' 12 = 'December' 98 = 'Not ascertained'; value $RET_YR 95 = '1995' 96 = '1996' 98 = 'Not ascertained'; value $R_RELAT 01 = 'Reference person' 02 = 'Spouse of reference person' 03 = 'Child of reference person' 04 = 'Parent of reference person' 05 = 'Brother/Sister of reference person' 06 = 'Other relative of reference person' 07 = 'Non relative of reference person' 98 = 'Not ascertained' 99 = 'Refused'; value $R_SEX 01 = 'Male' 02 = 'Female' 98 = 'Not ascertained' 99 = 'Refused'; value $SAMEPLC 01 = 'Same place all day' 02 = 'Was not same place all day'; value $SEGNUM 01 = '01' 02 = '02' 03 = '03' 04 = '04'; value $SEGTRA 01 = 'Auto' 02 = 'Van' 03 = 'Sport utility vehicle' 04 = 'Pickup truck' 05 = 'Other truck' 06 = 'RV' 07 = 'Motorcycle' 08 = 'Other POV' 09 = 'Bus' 10 = 'Amtrak' 11 = 'Commuter train' 12 = 'Streetcar/trolley' 13 = 'Subway/elevated rail' 14 = 'Airplane' 15 = 'Taxicab' 16 = 'Bicycle' 17 = 'Walk' 18 = 'School bus' 19 = 'Other non-POV' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $SIT2AMT 01 = 'Sit' 02 = 'Stand' 94 = 'Legitimate skip' 98 = 'Not ascertained'; value $SITAMTR 01 = 'Sit only' 02 = 'Stand only' 03 = 'Some of both' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $SITMOST 01 = 'Sit' 02 = 'Stand' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $STANDSIT 01 = 'Sit only' 02 = 'Stand only' 03 = 'Both sit and stand' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $SUM_STA 50 = 'All eligible persons completed' 51 = 'At least 50% of adults completed'; value TDAY_MON 1 = 'January' 2 = 'February' 3 = 'March' 4 = 'April' 5 = 'May' 6 = 'June' 7 = 'July' 8 = 'August' 9 = 'September' 10 = 'October' 11 = 'November' 12 = 'December'; value TDAY_YR 95 = '95' 96 = '96'; value $TELNUMC 98 = 'Not ascertained' 99 = 'Refused'; value $TEL_HHS 98 = 'Not ascertained' 99 = 'Refused'; value $TOWHYPA 01 = 'To work' 02 = 'Work related business' 03 = 'Return to work' 04 = 'Shopping' 05 = 'School' 06 = 'Religious Activity' 07 = 'Medical/Dental' 08 = 'Other family or personal business' 11 = 'Vacation' 12 = 'Visit friends or relatives' 13 = 'Went out to eat' 14 = 'Other social/recreational' 16 = 'Other' 17 = 'Home' 94 = 'Legitimate skip' 98 = 'Not ascertained'; value $TOWHYTRP 01 = 'To or from work' 02 = 'Work related business' 03 = 'Return to work' 04 = 'Shopping' 05 = 'School' 06 = 'Religious activity' 07 = 'Medical/dental' 08 = 'Other family or personal business' 09 = 'Take someone somewhere' 10 = 'Pick up someone' 11 = 'Vacation' 12 = 'Visit friends or relatives' 13 = 'Went out to eat' 14 = 'Other social/recreational' 15 = 'Change mode of transportation' 16 = 'Other,specify' 17 = 'Home' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $TO_B H = 'Home' S = 'Other' W = 'Work'; value $TO_TRAN 01 = 'Automobile' 02 = 'Van' 03 = 'Utility Vehicle' 04 = 'Pickup truck' 05 = 'Other truck' 06 = 'RV' 07 = 'Motorcycle' 08 = 'Other P.O.V.' 09 = 'Bus' 10 = 'Amtrak' 11 = 'Commuter train' 12 = 'Streetcar/Trolley' 13 = 'Subway/elevated rail' 14 = 'Airplane' 15 = 'Taxicab' 16 = 'Bicycle' 17 = 'Walk' 18 = 'School bus' 19 = 'Other' 98 = 'Not ascertained'; value TRAVDAY 01 = 'Sunday' 02 = 'Monday' 03 = 'Tuesday' 04 = 'Wednesday' 05 = 'Thursday' 06 = 'Friday' 07 = 'Saturday' 98 = 'Not ascertained'; value $TRAVWKN 1 = 'Weekend' 2 = 'Weekday'; value $TRPHHVE 01 = 'Yes' 02 = 'Part of trip' 03 = 'No' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $TRPTRAN 01 = 'Auto (includes station wagon)' 02 = 'Passenger van' 03 = 'Sport utility' 04 = 'Pickup truck (including pickup with camper)' 05 = 'Other truck' 06 = 'RV or motor home' 07 = 'Motorcycle' 08 = 'Other POV' 09 = 'Bus' 10 = 'Amtrak' 11 = 'Commuter train' 12 = 'Streetcar/trolley' 13 = 'Subway/elevated rail' 14 = 'Airplane' 15 = 'Taxicab' 16 = 'Bicycle' 17 = 'Walk' 18 = 'School bus' 19 = 'Other non-POV' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $UNITDIS 94 = 'Legitimate skip' 98 = 'Not ascertained' B = 'Block' M = 'Mile'; value $USULDRV 01 = 'Drive alone' 02 = 'Carpool' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $VEHNEW 01 = 'New' 02 = 'Used' 98 = 'Not ascertained' 99 = 'Refused'; value $VEHTYPE 01 = 'Automobile (includes station wagon)' 02 = 'Passenger van' 03 = 'Cargo van' 04 = 'Pickup truck (including pickup with camper)' 05 = 'Other truck' 06 = 'RV or motor home' 07 = 'Motorcycle' 08 = 'Moped' 09 = 'Other' 98 = 'Not ascertained' 99 = 'Refused'; value WAITAMTR 994 = 'Legitimate skip' 998 = 'Not ascertained'; value WAITBUS 994 = 'Legitimate skip' 998 = 'Not ascertained' 999 = 'refused'; value WAITSBWY 994 = 'Legitimate skip' 998 = 'Not ascertained'; value WAITSTCR 994 = 'Legitimate skip' 998 = 'Not ascertained'; value WAITTRAN 994 = 'Legitimate skip' 998 = 'Not ascertained' 999 = 'Refused'; value $WHERE 8 = 'Not ascertained' H = 'Home' S = 'Other-specify' W = 'Work'; value $WHOMAIN 01 = '01' 02 = '02' 03 = '03' 04 = '04' 05 = '05' 06 = '06' 07 = '07' 08 = '08' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $WHYFROM 01 = 'To work' 02 = 'Work related business' 03 = 'Return to work' 04 = 'Shopping' 05 = 'School' 06 = 'Religious activity' 07 = 'Medical/dental' 08 = 'Other family or personal business' 09 = 'Take someone somewhere' 10 = 'Pick up someone' 11 = 'Vacation' 12 = 'Visit friends or relatives' 13 = 'Went out to eat' 14 = 'Other social/recreational' 16 = 'Other-specify' 17 = 'Home' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $WHYTP 01 = 'To or from work' 02 = 'Work-related business' 03 = 'Shopping' 04 = 'Other family or personal business' 05 = 'School/church' 06 = 'Doctor/dentist' 07 = 'Vacation' 08 = 'Visit friends or relatives' 09 = 'Pleasure driving' 10 = 'Other social or recreational' 11 = 'Other' 98 = 'Not ascertained' 99 = 'Refused'; value $WKFMHMX 01 = 'Two or more days a week' 02 = 'About once a week' 03 = 'Once or twice a month' 04 = 'Less than once a month' 05 = 'Other specify' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value WORKDAYS 94 = 'Legitimate skip' 98 = 'Not ascertained'; value WORKLOC 1 = 'Work from home' 2 = 'No fixed work place' 3 = 'Work at work location' 94 = 'Legitimate skip' 98 = 'Not ascertained'; value $WORKSTA 98 = 'Not ascertained' 99 = 'Refused' AK = 'Alaska' AL = 'Alabama' AR = 'Arkansas' AZ = 'Arizona' CA = 'California' CO = 'Colorado' CT = 'Connecticut' DC = 'Washington D.C.' DE = 'Delaware' FC = 'Foreign Country' FL = 'Florida' GA = 'Georgia' HI = 'Hawaii' IA = 'Iowa' ID = 'Idaho' IL = 'Illinois' IN = 'Indiana' KS = 'Kansas' KY = 'Kentucky' LA = 'Louisiana' MA = 'Massachusetts' MD = 'Maryland' ME = 'Maine' MI = 'Michigan' MN = 'Minnesota' MO = 'Missouri' MS = 'Mississippi' MT = 'Montana' NC = 'North Carolina' ND = 'North Dakota' NE = 'Nebraska' NH = 'New Hampshire' NJ = 'New Jersey' NM = 'New Mexico' NV = 'Nevada' NY = 'New York' OH = 'Ohio' OK = 'Oklahoma' OR = 'Oregon' PA = 'Pennsylvania' RI = 'Rhode Island' SC = 'South Carolina' SD = 'South Dakota' TN = 'Tennessee' TX = 'Texas' UT = 'Utah' VA = 'Virginia' VT = 'Vermont' WA = 'Washington' WI = 'Wisconsin' WV = 'West Virginia' WY = 'Wyoming'; value $WRKTRAN 01 = 'Automobile' 02 = 'Van' 03 = 'Sport utility vehicle' 04 = 'Pickup truck' 05 = 'Other truck' 06 = 'RV' 07 = 'Motorcycle' 08 = 'Other private vehicle' 09 = 'Bus' 10 = 'Amtrak' 11 = 'Commuter train' 12 = 'Streetcar/Trolley' 13 = 'Subway/elevated rail' 14 = 'Airplane' 15 = 'Taxicab' 16 = 'Bicycle' 17 = 'Walk' 18 = 'School bus' 19 = 'Other public transit' 20 = 'Other' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value $WRKVTYPE 01 = 'Auto (includes station wagon)' 02 = 'Van' 03 = 'Sport utility vehicle' 04 = 'Pickup truck' 05 = 'Other truck' 06 = 'RV' 07 = 'Motorcycle' 08 = 'Other private vehicle' 09 = 'Bus' 10 = 'School bus' 11 = 'Taxicab' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; value WT 0 = '0 to 4%' 10 = '5 to 14%' 20 = '15 to 24%' 30 = '25 to 34%' 40 = '35 to 44%' 50 = '45 to 54%' 60 = '55 to 64%' 70 = '65 to 74%' 80 = '75 to 84%' 90 = '85 to 94%' 95 = '95 to 100%' 994 = 'Legitimate skip' 998 = 'Not ascertained'; value WTEMPLDN 25 = '0 to 49' 150 = '50 to 249' 300 = '250 to 499' 750 = '500 to 1K' 1500 = '1K to 2K' 3000 = '2K to 4K' 7000 = '4K to 10K' 30000 = '10K to 50K' 60000 = '50K to 999K' 999994 = 'Legitimate skip' 999998 = 'Not ascertained'; value $YESNO 01 = 'Yes' 02 = 'No' 94 = 'Legitimate skip' 98 = 'Not ascertained' 99 = 'Refused'; run; /*---------------------------------------------------------------------------*/ proc datasets library=library nolist; modify daytrip; Format AWAYHOME $AWAYHOM. CENSUS_D $CENSUSD. CENSUS_R $CENSUSR. DATEFLG $YESNO. DAYNIGHT $DAYNIGHT. DRIVER $YESNO. DRVR_FLG $YESNO. EDITMILE $YESNO. EDITMODE $YESNO. EDITNONH $YESNO. EDIT_MIN $YESNO. FRSTHM $YESNO. FROM_A $FROM_A. HBHINMED HBHINMED. HBHRESDN HBHRESDN. HBHUR $HBHUR. HBPPOPDN HBPPOPDN. HHCMSA $HHCMSA. HHFAMINC $HHFAMIN. HHMEMDRV $HHMEMDR. HHMSA $HHMSA. HOWFARU $HOWFARU. HH_HISP $HH_HISP. HH_RACE $HH_RACE. LIF_CYC $LIF_CYC. MSASIZE $MSASIZE. NONHHACC $YESNO. OVERLAP $OVERLAP. PASSPURP $PASSPUR. PREVREP $YESNO. PROXY $PROXY. PUBTRANS $YESNO. RAIL $YESNO. REF_EDUC $REF_EDUC. REF_SEX $REF_SEX. R_SEX $R_SEX. SEGMENTD $YESNO. SITMOST $SITMOST. STANDSIT $STANDSIT. TO_B $TO_B. TRANSFER $YESNO. TRAVWKND $TRAVWKN. TRPHHACC $YESNO. TRPHHVEH $TRPHHVE. TRPTRANS $TRPTRAN. VTR_FLG $YESNO. WHERE $WHERE. WHYFROM $WHYFROM. WHYTO $WHYFROM. WHYTRP90 $WHYTP. WHYTRP95 $WHYFROM. WORKER $YESNO.; run; /*---------------------------------------------------------------------------*/ proc datasets library=library nolist; modify househld; Format BUS_AVL $YESNO. CENSUS_D $CENSUSD. CENSUS_R $CENSUSR. GHMXIN GHMXIN. HBHHSMLT HB_PCT. HBHHSOTH HB_PCT. HBHHSSNG HB_PCT. HBHINCH HB_PCT. HBHINCL HB_PCT. HBHINCM1 HB_PCT. HBHINCM2 HB_PCT. HBHINMED HBHINMED. HBHMEDHS HBHMEDHS. HBHRECNT HB_PCT. HBHRESDN HBHRESDN. HBHTNOWN HB_PCT. HBHTNRNT HB_PCT. HBHUR $HBHUR. HBP65P HB_PCT. HBPCOLGD HB_PCT. HBPFORBN HB_PCT. HBPHISP HB_PCT. HBPHSGD HB_PCT. HBPLTPOV HB_PCT. HBPPOPDN HBPPOPDN. HBPPOPNO HBPPOPNO. HBPRCAA HB_PCT. HBPRCASN HB_PCT. HBPRCCAU HB_PCT. HBPRCOTH HB_PCT. HHFAMINC $HHFAMIN. HHCMSA $HHCMSA. HHMSA $HHMSA. HHSTATE $HHSTATE. HHSTFIPS HHSTFIPS. HH_HISP $HH_HISP. HH_RACE $HH_RACE. HHRESP $HHRESP. HOMETYPE $HOMETYP. HOMEOWN $HOMEOWN. HSTORIES $HSTORIE. HTEEMPDN HTEEMPDN. HTHHSMLT HB_PCT. HTHHSOTH HB_PCT. HTHHSSNG HB_PCT. HTHINCH HB_PCT. HTHINCL HB_PCT. HTHINCM1 HB_PCT. HTHINCM2 HB_PCT. HTHINMED HBHINMED. HTHMEDHS HBHMEDHS. HTHRECNT HB_PCT. HTHRESDN HBHRESDN. HTHTNOWN HB_PCT. HTHTNRNT HB_PCT. HTHUR $HBHUR. HTINDRET HB_PCT. HTP65P HB_PCT. HTPCOLGD HB_PCT. HTPFORBN HB_PCT. HTPHISP HB_PCT. HTPHSGD HB_PCT. HTPLTPOV HB_PCT. HTPPOPDN HBPPOPDN. HTPPOPNO HTPPOPNO. HTPRCAA HB_PCT. HTPRCASN HB_PCT. HTPRCCAU HB_PCT. HTPRCOTH HB_PCT. LIF_CYC $LIF_CYC. MSASIZE $MSASIZE. NONFMFLG $YESNO. NOTELWKS $NOTELWK. NOTELYR $YESNO. OTHERPTR $YESNO. P1_DRVR $YESNO. P2_DRVR $YESNO. P3_DRVR $YESNO. P4_DRVR $YESNO. P5_DRVR $YESNO. P6_DRVR $YESNO. P7_DRVR $YESNO. P8_DRVR $YESNO. P9_DRVR $YESNO. P10_DRVR $YESNO. P1_REL $P_REL. P2_REL $P_REL. P3_REL $P_REL. P4_REL $P_REL. P5_REL $P_REL. P6_REL $P_REL. P7_REL $P_REL. P8_REL $P_REL. P9_REL $P_REL. P10_REL $P_REL. P1_SEX $P_SEX. P2_SEX $P_SEX. P3_SEX $P_SEX. P4_SEX $P_SEX. P5_SEX $P_SEX. P6_SEX $P_SEX. P7_SEX $P_SEX. P8_SEX $P_SEX. P9_SEX $P_SEX. P10_SEX $P_SEX. P1_STAT $P_STAT. P2_STAT $P_STAT. P3_STAT $P_STAT. P4_STAT $P_STAT. P5_STAT $P_STAT. P6_STAT $P_STAT. P7_STAT $P_STAT. P8_STAT $P_STAT. P9_STAT $P_STAT. P10_STAT $P_STAT. P1_WKR $YESNO. P2_WKR $YESNO. P3_WKR $YESNO. P4_WKR $YESNO. P5_WKR $YESNO. P6_WKR $YESNO. P7_WKR $YESNO. P8_WKR $YESNO. P9_WKR $YESNO. P10_WKR $YESNO. RAIL $YESNO. REF_DRVR $YESNO. REF_EDUC $REF_EDU. REF_SEX $REF_SEX. REF_STAT $REF_STAT. REF_WKR $YESNO. STC_AVL $YESNO. SUB_AVL $YESNO. SUM_STAT $SUM_STA. TDAY_MON TDAY_MON. TDAY_YR TDAY_YR. TELNUMCT $TELNUMC. TEL_HHS $TEL_HHS. TRN_AVL $YESNO. URBAN $YESNO.; run; /*---------------------------------------------------------------------------*/ proc datasets library=library nolist; modify person; Format ALWYSDRV $ALWYSDR. CENSUS_D $CENSUSD. CENSUS_R $CENSUSR. DIARYCMP $DIARYCM. DIARYGET $YESNO. DIARYHAV $YESNO. DRIVER $YESNO. DTACDT $DTACDT. DTCONJ $DTACDT. DTCRIME $DTACDT. DTNTFMLR $DTACDT. DTPAVE $DTACDT. DTPOLLTN $DTACDT. DTSTRTS $DTACDT. DTTIEUP $DTACDT. DTWALK $DTACDT. EDUC $EDUC. FQSTBELT $FQSTBEL. GT1JBLWK $YESNO. GWKXIN GWKXIN. HBHINMED HBHINMED. HBHRESDN HBHRESDN. HBHUR $HBHUR. HBPPOPDN HBPPOPDN. HHCMSA $HHCMSA. HHFAMINC $HHFAMIN. HHMSA $HHMSA. HH_HISP $HH_HISP. HH_RACE $HH_RACE. HHRESP $HHRESP. JOBLSTWK $JOBLSTW. LIF_CYC $LIF_CYC. MSASIZE $MSASIZE. NCCOMCR $YESNO. NCINCVNT $YESNO. NCIRRHR $YESNO. NCLVFAR $YESNO. NCNEEDCR $YESNO. NCNEVER $YESNO. NCNLIKE $YESNO. NCNOONE $YESNO. NCONLY $YESNO. NCOTHRES $YESNO. NCSHRTDI $YESNO. NONFMINC $NONFMIN. NPT2EXPV $YESNO. NPT2FRWK $YESNO. NPT2MCTM $YESNO. NPTCOMCR $YESNO. NPTDLPT $YESNO. NPTFMHM $YESNO. NPTHVCAR $YESNO. NPTLVCLS $YESNO. NPTNTCNV $YESNO. NPTOTHER $YESNO. NPTOTHTG $YESNO. NSBBACK $YESNO. NSBBROKE $YESNO. NSBDRVR $YESNO. NSBFGET $YESNO. NSBHURRY $YESNO. NSBLONG $YESNO. NSBMED $YESNO. NSBNLIKE $YESNO. NSBNOASK $YESNO. NSBOTHER $YESNO. NSBPOLIC $YESNO. NSBPSNG $YESNO. NSBSHORT $YESNO. NSBSPCLH $YESNO. NSBSPPER $YESNO. NSBSPVEH $YESNO. NSBTOWN $YESNO. NSBTOWRK $YESNO. NSBWTHR $YESNO. OUTCNTRY $OUTCNTRY. PARKCODE $PARKCODE. PAYTOPRK $YESNO. PROXY $PROXY. PTCARND $PT. PTCOST $PT. PTCRIME $PT. PTCROWD $PT. PTNTCLN $PT. PTTIMEON $PT. PTTMND $PT. PTTRANSF $PT. PTUSED $PT. RAIL $YESNO. REF_EDUC $REF_EDU. REF_SEX $REF_SEX. R_AGEFLG $YESNO. R_RELAT $R_RELAT. R_SEX $R_SEX. SAMEPLC $SAMEPLC. SIT2AMTR $SIT2AMT. SIT2BUS $SIT2AMT. SIT2SBWY $SIT2AMT. SIT2STCR $SIT2AMT. SIT2TRAN $SIT2AMT. SITAMTR $SITAMTR. SITBUS $SITAMTR. SITSBWY $SITAMTR. SITSTCR $SITAMTR. SITTRAN $SITAMTR. TDAY_MON TDAY_MON. TDAY_YR TDAY_YR. UNITDIST $UNITDIS. USULDRV $USULDRV. WAITAMTR WAITAMTR. WAITBUS WAITBUS. WAITSBWY WAITSBWY. WAITSTCR WAITSTCR. WAITTRAN WAITTRAN. WKBYAIR $YESNO. WKBYAMTR $YESNO. WKBYAUTO $YESNO. WKBYBIKE $YESNO. WKBYBUS $YESNO. WKBYHOME $YESNO. WKBYMCYC $YESNO. WKBYOPOV $YESNO. WKBYOTHR $YESNO. WKBYOTTK $YESNO. WKBYRV $YESNO. WKBYSBWY $YESNO. WKBYSCBS $YESNO. WKBYSTCR $YESNO. WKBYTAXI $YESNO. WKBYTRAN $YESNO. WKBYTRUK $YESNO. WKBYUV $YESNO. WKBYVAN $YESNO. WKBYWALK $YESNO. WKFMHM2M $YESNO. WKFMHMLW $YESNO. WKFMHMXX $WKFMHMX. WORKER $YESNO. WORKDAYS WORKDAYS. WORKLOC WORKLOC. WORKSTAT $WORKSTA. WRKDRIVE $YESNO. WRKTRANS $WRKTRAN. WRKTRPS $YESNO. WRKVTYPE $WRKVTYPE. WTEMPLDN WTEMPLDN. WTINDAGR WT. WTINDFIN WT. WTINDMAN WT. WTINDRET WT. WTINDSVC WT. WTINDTRN WT. WTINDWHL WT. YMILEFLG $YESNO.; run; /*---------------------------------------------------------------------------*/ proc datasets library=library nolist; modify pertrip; Format CENSUS_D $CENSUSD. CENSUS_R $CENSUSR. COUNTRY $COUNTRY. DESTSTAT $DESTSTAT. DRIVER $YESNO. DRVR_TPT $YESNO. HBHINMED HBHINMED. HBHRESDN HBHRESDN. HBHUR $HBHUR. HBPPOPDN HBPPOPDN. HHMSA $HHMSA. HHFAMINC $HHFAMIN. HH_HISP $HH_HISP. HH_RACE $HH_RACE. LIF_CYC $LIF_CYC. MSASIZE $MSASIZE. PROXY $PROXY. RET_MON $RET_MON. RET_YR $RET_YR. R_SEX $R_SEX. RAIL $YESNO. SUM_STAT $SUM_STA. TOWHYTRP $TOWHYTR. TOWHYPAS $TOWHYPA. TO_TRANS $TO_TRAN. WORKER $YESNO.; run; /*---------------------------------------------------------------------------*/ proc datasets library=library nolist; modify segtrip; Format CENSUS_D $CENSUSD. CENSUS_R $CENSUSR. DRIVER $YESNO. HHCMSA $HHCMSA. HHFAMINC $HHFAMIN. HHMSA $HHMSA. HH_HISP $HH_HISP. HH_RACE $HH_RACE. HOWFARU $HOWFARU. LIF_CYC $LIF_CYC. MSASIZE $MSASIZE. PROXY $PROXY. RAIL $YESNO. R_SEX $R_SEX. SEG1TRAN $SEGTRA. SEG2TRAN $SEGTRA. SEG3TRAN $SEGTRA. SEG4TRAN $SEGTRA. SEGNUM $SEGNUM. TRANSFER $YESNO. TRPTRANS $TRPTRAN. WHYTRP95 $WHYFROM. WORKER $YESNO.; run; /*---------------------------------------------------------------------------*/ proc datasets library=library nolist; modify vehicle; Format CENSUS_D $CENSUSD. CENSUS_R $CENSUSR. HBHINMED HBHINMED. HBHRESDN HBHRESDN. HBHUR $HBHUR. HBPPOPDN HBPPOPDN. HHFAMINC $HHFAMIN. HHCMSA $HHCMSA. HHMSA $HHMSA. HH_HISP $HH_HISP. HH_RACE $HH_RACE. LIF_CYC $LIF_CYC. MAINDRVR $YESNO. MAKECODE $MAKECOD. MILELIMT $MILELIM. MSASIZE $MSASIZE. PURCHMON PURCHMON. RAIL $YESNO. SUM_STAT $SUM_STA. TDAY_MON TDAY_MON. TDAY_YR TDAY_YR. VEH12MNT $YESNO. VEHNEW $VEHNEW. VEHTYPE $VEHTYPE. WHOMAIN $WHOMAIN.; run;