Yes No Not in Universe No Yes Not in Universe Not imputed Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Logical imputation (derivation) Not imputed Yes Not in universe or not applicable Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed May 1975 to Ausust 1980 Vietnam Era (Aug 64 - April 75) Other service (All other periods) September 1980 to July 1990 August 1990 to present (including Persian Gulf War) Don't know Refused Not answered No, not covered Yes, covered No, not covered Yes, covered Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Not imputed Other, specify Still eligible but could/chose not to collect Because of family changes Became Ineligible because program requirements not met Eligibility ran out because of time limits Became ineligible because of increased income Not in Universe Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Yes, covered No, not covered None or not in universe Dollar amount May 1975 to Ausust 1980 Vietnam Era (Aug 64 - April 75) Other service (All other periods) Not answered No other periods of service August 1990 to present (including Persian Gulf War) September 1980 to July 1990 No, not covered Yes, covered No other periods of service August 1990 to present (including Persian Gulf War) Other service (All other periods) Not answered May 1975 to Ausust 1980 Vietnam Era (Aug 64 - April 75) September 1980 to July 1990 No other periods of service August 1990 to present (including Persian Gulf War) Vietnam Era (Aug 64 - April 75) Other service (All other periods) Not answered May 1975 to Ausust 1980 September 1980 to July 1990 Yes, covered No, not covered None or not in universe Amount in dollars Not answered Other service (All other periods) May 1975 to Ausust 1980 September 1980 to July 1990 August 1990 to present (including Persian Gulf War) Vietnam Era (Aug 64 - April 75) No other periods of service No, not covered Yes, covered Not universe Yes No Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Yes No Not in Universe No Yes Not in Universe Logical imputation (derivation) Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Yes No Not in Universe Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Yes No Not in Universe Not in Universe No Yes Not in Universe No Yes On layoff (temporary or indefinite) Own injury Bad weather Participated in a job-sharing arrangement Taking care of children On vacation/personal days Labor Dispute Other Own illness/injury/medical problems Pregnancy/childbirth Not in Universe Slack work or business conditions New job to begin within 30 days None or not in universe Dollars amount Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Yes Not in Universe No None or not in universe Dollars amount None or not in universe Amount in dollars Not in Universe No Yes Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed None or not in universe Dollar amount No Not in Universe Yes Yes Not in Universe No Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Alone Not in Universe Partnership Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Cold deck imputation Number of children Not in Universe Because of family changes Eligibility ran out because of time limits Became ineligible because of increased income Became Ineligible because program requirements not met Still eligible but could/chose not to collect Other, specify None or not in universe Amount in dollars Cold deck imputation Logical imputation(derivation) Not imputed Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Yes Not in Universe No No, not covered Yes, covered Cold deck imputation Not imputed Logical imputation(derivation) Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Not imputed Logical imputation(derivation) Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Cold deck imputation Alone Partnership Not in Universe No Not in Universe Yes Logical imputation(derivation) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Statistical imputation(hot deck) Not imputed Cold deck imputation Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Entered before reference period Not answered Month of year Calendar month None or not in universe Amount in dollars None or not in universe Amount in dollars With job/bus - on layoff, absent w/out pay No job/bus - not looking and not on layoff With job/bus - working Not in Universe No job/bus - looking for work or on layoff With job/bus - not on layoff, absent w/out pay With job/bus - on layoff, absent w/out pay With job/bus - not on layoff, absent w/out pay Not in Universe No job/bus - looking for work or on layoff With job/bus - working No job/bus - not looking and not on layoff No job/bus - not looking and not on layoff With job/bus - not on layoff, absent w/out pay With job/bus - on layoff, absent w/out pay No job/bus - looking for work or on layoff With job/bus - working Not in Universe No job/bus - not looking and not on layoff With job/bus - on layoff, absent w/out pay With job/bus - not on layoff, absent w/out pay Not in Universe With job/bus - working No job/bus - looking for work or on layoff Yes Not in Universe With job/bus - working With job/bus - not on layoff, absent w/out pay No job/bus - looking for work or on layoff No job/bus - not looking and not on layoff With job/bus - on layoff, absent w/out pay Not in Universe Person number Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Cold deck imputation Calendar year Over 65 Not in Universe Other, specify Became disabled/blind Not in Universe Became disabled/blind Over 65 Other, specify Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Not imputed Statistical imputation (hot deck) None or not in universe Dollar amount Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Survivor Not in Universe No payment received Retirement and survivor Disability and Survivor Disability, retirement, and survivor Disability and retirement Disability Retirement Dollar amount Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Disability Not in Universe No payment received Yes No Not in Universe Dollar amount Yes Not answered No Don't know Refused One, attached 50 or more 10-19 One, detached Not in Universe 5-9 Two 20-49 3:4 Logical imputation (derivation) Not imputed Cold deck imputation Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Interview (self) Nonintrvw - pseudo Type Z. Left sample during the reference period Children under 15 during reference period Noninterview - Type Z Interview (proxy) No, not covered Yes, covered Yes, covered No, not covered Number of persons in household None or not in universe Dollars Not in Universe hours per week Not in Universe hours per week Not imputed Cold deck imputation Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Statistical or logical imputation using previous wave data Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Cold deck imputation None or not in universe Dollar amount No Yes Not in Universe None or not in universe Amount in dollars Yes No Not in Universe Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Number of recipients None or not in universe Amount in dollars None or not in universe None or not in universe Dollar amount Cold deck imputation Not imputed Logical imputation(derivation) Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation(derivation) Statistical imputation(hot deck) No Yes Not in Universe Statistical or logical imputation using previous wave data Not imputed Logical imputation (derivation) Cold deck imputation Statistical imputation (hot deck) Because of family changes Not in Universe Became Ineligible because program requirements not met Other, specify Still eligible but could/chose not to collect Became ineligible because of increased income Eligibility ran out because of time limits Became ineligible because of increased income Still eligible but could/chose not to collect Other, specify Became Ineligible because program requirements not met Eligibility ran out because of time limits Not in Universe Because of family changes Disability, retirement, and survivor Disability and Survivor Retirement and survivor Survivor Disability and retirement No payment received Disability Retirement Not in Universe Dollar amount None or not in universe Amount in dollars Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Yes No Not in Universe Not in Universe Yes No Not in Universe Retirement and survivor Disability and Survivor Retirement Disability, retirement, and survivor Survivor No payment received Disability Disability and retirement Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Cold deck imputation Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) November August March April May January February December October July September June Not imputed Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Logical imputation(derivation) Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation(derivation) None or not in universe Amount in dollars Not in Universe No Yes Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) No mother in household Person number None or not in universe Dollars Yes Not in Universe No None or not in universe Dollars Not in Universe Yes No Became disabled Other, specify Not in Universe Just got around to applying Pregnancy/birth of child Loss of other support income Loss of job/wages/other income Began receiving for another dependent Separated or divorced from spouse/parent Just learned about program Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Not in Universe Other, specify Loss of other support income Began receiving for another dependent Separated or divorced from spouse/parent Loss of job/wages/other income Became disabled Just got around to applying Just learned about program Pregnancy/birth of child Yes No No Yes Not in Universe None or not in universe Dollars Not imputed Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) None or not in universe Amount in dollars No spouse in subfamily Not in Universe Person # of spouse of rel. subfamily reference person Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Logical imputation(derivation) Cold deck imputation Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Yes No Not in Universe Yes Not in Universe No Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Cold deck imputation Statistical or logical imputation using previous wave data None or not in universe Amount in dollars Survivor Disability and Survivor Disability Not in Universe Disability and retirement No payment received Disability, retirement, and survivor Retirement Retirement and survivor Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Veteran's Pension Not in Universe Other Veteran's Payments Service-connected disability compensation Survivor Benefits Yes Not in Universe No Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed Cold deck imputation Statistical imputation(hot deck) Not imputed Logical imputation(derivation) Statistical or logical imputation using previous wave data Not answered Day of month Not in Universe No payment received Retirement and survivor Disability, retirement, and survivor Disability and Survivor Retirement Disability Survivor Disability and retirement Change occurred No change occurred Not imputed Statistical or logical imputation using previous wave data Logical imputation(derivation) Cold deck imputation Statistical imputation(hot deck) Not imputed Cold deck imputation Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Logical imputation(derivation) No Not in Universe Yes Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Other Military/VA health care CHAMPUS CHAMPVA Privately purchased Not in Universe Current employer or work Former employer Union Contingent workers Not in Universe # of jobs held during the reference period None or not in universe Dollar amount No Not in Universe Yes No Not in Universe Yes Not in Universe Yes No Yes Not in Universe No No children Not in Universe Number of children Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) None or not in universe Amount in dollars Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Statistical imputation (hot deck) Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed None Part All Not in Universe None or not in universe Dollars Yes No Not in Universe Cold deck imputation Logical imputation(derivation) Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Not imputed Cold deck imputation Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Statistical or logical imputation using previous wave data None or not in universe Amount in dollars No job all month, on layoff or looking for work all weeks. No job, no time on layoff and no time looking for work. With job all month, absent from work w/out pay 1+ weeks, absence due to layoff With job at least 1 but not all weeks, some weeks on layoff or looking for work With a job entire month, worked all weeks. Not in Universe With a job at least 1 but not all weeks, no time on layoff and no time looking for work No job, at least one but not all weeks on layoff or looking for work With a job all month, absent from work w/out pay 1+ weeks, absence not due to layoff None or not in universe Dollars Pregnancy/birth of child Separated or divorced from spouse/parent Loss of other support income Loss of job/wages/other income Became disabled Began receiving for another dependent Not in Universe Just learned about program Just got around to applying Other, specify Pregnancy/birth of child Other, specify Began receiving for another dependent Separated or divorced from spouse/parent Just got around to applying Became disabled Not in Universe Just learned about program Loss of job/wages/other income Loss of other support income Logical imputation(derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation(hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation Not answered Refused No Don't know Yes Not imputed Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation(derivation) Dollar amount None or not in universe Dollars Not in Universe Uninsured Other or invalid code Retired or disabled worker Missing code Spouse of retired or disabled worker Widow of retired or disabled worker Adult disabled as a child Cold deck imputation Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Statistical or logical imputation using previous wave data Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Cold deck imputation Male Headed Headed by Husband/Wife Female Headed None or not in universe Amount in dollars Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Logical imputation (derivation) No imputation Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) Not in Universe Unable to identify person # of partner Person number of partner Unable to identify person # of partner Not in Universe Person number of partner No Lump Sum Regular distribution Not in Universe Both No, not covered Not in Universe Yes, covered Not in Universe Job ID Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Not in Universe Job ID None or not in universe Dollars Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Not in Universe Yes No Logical imputation (derivation) Not imputed Cold deck imputation Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Logical imputation(derivation) Statistical imputation(hot deck) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data None or not in universe Amount in dollars Not in Universe Yes No Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Logical imputation(derivation) Not imputed No Yes Not in Universe Person number Dollar amount Yes Not universe No Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data None or not in universe Dollars Not in Universe Unable to identify person # of partner Person number of partner Unable to identify person # of partner Not in Universe Person number of partner None or not in universe Amount in dollars Hu In Rooming House Hu In Nontransient Hotel, Motel, Etc. GQ - Quarters not HU in rooming or boarding house GQ - Student quarters in college dormitory GQ - Unit not permanent in transient hotel, motel, etc HU permanent, in transient hotel, motel, etc Mobile Home or trailer w/ one or more permanent rooms added Hu Not Specified Above Group quarters unit not specified above HU in House, apartment, flat Mobile home or trailer w/ no permanent room added GQ - Unoccupied tent or trailer site Yes Not in Universe No Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Dollar amount None or not in universe Dollar amount Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Loss of other support income Not in Universe Just got around to applying Began receiving for another dependent Became disabled Loss of job/wages/other income Other, specify Pregnancy/birth of child Just learned about program Separated or divorced from spouse/parent Separated or divorced from spouse/parent Just got around to applying Loss of other support income Other, specify Pregnancy/birth of child Loss of job/wages/other income Just learned about program Began receiving for another dependent Not in Universe Became disabled Pregnancy/childbirth Not in Universe Not interested in working at a job Going to school Unable to work because of chronic health condition or disablity Other Retired On layoff Temporarily unable to work because of an injury Temporarily not able to work because of an illness Taking care of children/other persons Unable to find work None or not in universe Dollars Unable to identify person # of partner Not in Universe Person number of partner Not in Universe Unable to identify person # of partner Person number of partner None or not in universe Amount in dollars Pregnancy/birth of child Loss of other support income Loss of job/wages/other income Became disabled Just learned about program Separated or divorced from spouse/parent Began receiving for another dependent Not in Universe Other, specify Just got around to applying Pregnancy/birth of child Began receiving for another dependent Loss of job/wages/other income Loss of other support income Just learned about program Just got around to applying Other, specify Became disabled Not in Universe Separated or divorced from spouse/parent Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Separation or divorce Moved to type C household Moved outside of U.S. Deceased Institutionalized On active duty in the Armed Forces Marriage Listed in error in prior wave Not answered Became employed/unemployed Due to job change - other Other Metro Residual Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Yes No Not in Universe Not in Universe hours per week Pregnancy/birth of child Loss of job/wages/other income Separated or divorced from spouse/parent Loss of other support income Became disabled Began receiving for another dependent Just learned about program Other, specify Not in Universe Just got around to applying Just got around to applying Loss of job/wages/other income Became disabled Loss of other support income Just learned about program Pregnancy/birth of child Began receiving for another dependent Not in Universe Other, specify Separated or divorced from spouse/parent Not in Universe hours per week Dollar amount Scranton--Wilkes-Barre--Hazelton, PA Indianapolis, IN Boston-Worcester-Lawrence, MA-NH Baton Rouge, LA Rockford, IL El Paso, TX New Orleans, LA Mobile, AL Detroit-Ann Arbor-Flint, MI Santa Barbara-Santa Maria-Lompoc, CA Albequerque, NM Lakeland-Winter Haven, FL San Francisco-Oakland-San Jose, CA Sacramento-Yolo, CA Kansas City, KS Harrisburg-Lebanon-Carlisle, PA Salt Lake City-Ogden, UT Bakersfield, CA Syracuse, NY Albany-Schenectady-Troy, NY Charlotte-Gastonia-Rock Hill, NC Memphis, TN Rochester, NY Pittsburgh, PA Knoxville, TN Lexington, KY St. Louis, IL Fort Myers-Cape Coral, FL Austin-San Marcos, TX Madison, WI Dallas-Fort Worth, TX Phoenix-Mesa, AZ Dayton-Springfield, OH Montgomery, AL Minneapolis-St. Paul, MN Buffalo-Niagara Falls, NY Allentown-Bethlehem-Easton, PA Colorado Springs, CO Columbus, OH Cleveland-Akron, OH Las Vegas, NV Honolulu, HI San Antonio, TX Fort Wayne, IN Charleston-North Charleston, SC Springfield, MA San Diego, CA Seattle-Tacoma-Bremerton, WA Pensacola, FL Fort Pierce-Port St. Lucie, FL Fresno, CA Melbourne-Titusville-Palm Bay, FL Lancaster, PA McAllen-Edinburg-Mission, TX Tampa-St. Petersburg-Clearwater, FL Greensville-Spartansburg-Anderson, SC Los Angeles-Riverside-Orange County, CA Miami-Fort Laudersale, FL Nashville, TN Lansing-East Lansing, MI Toledo, OH Stockton-Lodi, CA Washington-Baltimore, DC Greensboro--Winston-Salem--High Point, NC Not in MSA/CMSA/PMSA or not identifiable Richmond-Petersburg, VA Provo-Orem, UT Raleigh-Durham-Chapel Hill, NC Orlando, FL Sarasota-Bradenton, FL Utica-Rome, NY Reading, PA Cincinnati-Hamilton, OH Fayetville, NC Chicago-Gary-Kenosha (excl.PMSA 3740), IL Killeen-Temple, TX Modesto, CA Norfolk-Virginia Beach-Newport News, VA Beaumont-Port Arthur, TX Des Moines, IA Jacksonville, FL NY-NJ-LI, NJ Eugene-Springfield, OR Daytona Beach, FL Philadelphia-Wilmington-Atlantic City, NJ Grand Rapids-Muskegon-Holland, MI Atlanta, GA Johnson City-Kingsport-Bristol, TN Birmingham, AL Corpus Christi, TX West Palm Beach-Boca Raton, FL Louisville, KY Houston-Galveston-Brazoria, TX Tulsa, OK Denver-Boulder-Greeley, CO Milwuakee-Racine, WI Oklahoma City, OK Portland-Vancouver, OR Birth Job change - other Returned to hhld after missing one or more waves From outside the U.S. Lived at this address before sample person{s} entered From an institution Other Not answered From Armed Forces barracks Due to separation or divorce Should have been listed as member in previous wave Became employed/unemployed Marriage Persons with EFKIND 2 or 3 Person # of spouse of family ref. person Statistical or logical imputation using previous wave data Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Not imputed None or not in universe Dollars Not in Universe Health insurance coverage unit Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Dollar amount Not in Universe Health insurance coverage unit Not in Universe Yes No Not in Universe Health insurance coverage unit Not imputed Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation(derivation) Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Calendar year of reference month Not In Universe Person number Not In Universe Person number Statistical or logical imputation using previous wave data Not imputed Logical imputation(derivation) Statistical imputation(hot deck) Cold deck imputation Not in Universe Yes No Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation(derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical imputation(hot deck) None or not in universe Amount in dollars None or not in universe Dollars Statistical imputation(hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Logical imputation(derivation) Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Cold deck imputation Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Statistical or logical imputation using previous wave data No Not in Universe Yes Yes No Not in Universe Not in Universe # of persons in this rel. subfamily Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Not imputed No Not in Universe Yes Not reported Disability and retirement Disability Not in Universe Retirement Retirement and survivor Survivor Disability and Survivor Disability, retirement, and survivor No payment received Slack work or material shortage Taking care of children/other persons Temporarily not able to work full-time because of illness Full-time work week less than 35 hours Participated in job sharing arrangement Not in Universe Other Unable to work full-time because of chronic health condition/disability On vacation In school Temporarily unable to work full-time because of injury Could not find full-time job Wanted to work part time None or not in universe Amount in dollars Not in Universe Yes No Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Statistical imputation (hot deck) No Not in Universe Yes Number of families None or not in universe Amount in dollars Not in Universe Still eligible but could/chose not to collect Eligibility ran out because of time limits Because of family changes Became ineligible because of increased income Became Ineligible because program requirements not met Other, specify Became Ineligible because program requirements not met Eligibility ran out because of time limits Other, specify Became ineligible because of increased income Because of family changes Not in Universe Still eligible but could/chose not to collect None or not in universe Dollars Statistical imputation (hot deck) Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Related Subfamily Not in Universe Blank Reduction Group Code Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation(derivation) Statistical imputation(hot deck) Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation(derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) None or not in universe Dollars Not imputed Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not in Universe Yes No Residence this month not in sample at intrvw - no data transferred Res. this mo. in sample but nonintrvw - no program data coll Res. this mo. was intrvwed address - program data collected Res. this mo. not in sample at intrvw - program data transfe Not in Universe Medicaid coverage unit Not in Universe Medicaid coverage unit Not in Universe Medicaid coverage unit Not imputed Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) None or not in universe Dollars None or not in universe Dollars None or not in universe Amount in dollars Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Not in Universe Yes, covered No, not covered American Indian, Aleut, or Eskimo Black Asian or Pacific Islander White Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Dollar amount Not in Universe No Yes Yes Not in Universe No 100+ employees Not in Universe Under 25 employees 25 to 99 employees Statistical imputation (hot deck) Cold deck imputation Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data 100+ employees Under 25 employees 25 to 99 employees Not in Universe Dollar amount None or not in universe Amount in dollars Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Not imputed Other non-relative of reference person Reference person w/ rel. persons in hhld Parent of reference person Brother/sister of reference person Unmarried partner of reference person Roomer/boarder Grandchild of reference person Housemate/roommate Other relative of reference person Reference Person w/out rel. persons in hhld Spouse of reference person Child of reference person Foster child of reference person No Not in Universe Yes Yes Not in Universe No Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Dollar amount Not in Universe Number of children Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Not in Universe Guardian not in household Person number Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed Cold deck imputation Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Logical imputation(derivation) None or not in universe Amount in dollars No Not in Universe Yes Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Cold deck imputation Statistical or logical imputation using previous wave data Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Cold deck imputation Not imputed Logical imputation(derivation) None or not in universe Dollars School OTHER Own Temporary Illness Not in Universe Not reported Waiting for a new job to begin Mover, no longer located in same fr's area TYPE-D, moved address unknown TYPE-C, other (specify) TYPE-A, insufficient parital TYPE-A, temporarily absent (ta) Complete partial - TYPE-Z; no futher followup TYPE-C, living in armed forces barracks Merged with another SIPP household TYPE-C, on active duty in Armed Forces TYPE-C, no Wave 1 persons remaining in hhld TYPE-A, language problem Mover, new address located in same fr's area TYPE-C, sample adjustment TYPE-C, hh deceased TYPE-C, no one over age 15 years in hhld Completed interview TYPE-A, hh refused TYPE-A, other occupied (specify) TYPE-A, no one home (noh) TYPE-D, moved w/in U.S. but outside SIPP TYPE-C, moved out of country TYPE-B, entire hh institut. or temp. ineligible Compl. partial- missing data; no TYPE-Z Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Statistical imputation (hot deck) Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Covered both in own name and by someone else's plan Covered by someone else's plan Not covered Covered in own name Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation(derivation) Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Logical imputation(derivation) Statistical imputation(hot deck) No Not in Universe Yes Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Not in Universe Biological or natural child Stepchild Adopted child Not imputed Statistical imputation(hot deck) Cold deck imputation Logical imputation(derivation) Statistical or logical imputation using previous wave data Yes Not in Universe No Cold deck imputation Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Logical imputation (derivation) None or not in universe Dollar amount Dollar amount None or not in universe Amount in dollars None or not in universe Amount in dollars Not imputed Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Yes No Not in Universe Reduced-price breakfast Not in Universe Free breakfast Cold deck imputation Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation No imputation Statistical or logical imputation using previous wave data Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) None or not in universe Dollars None or not in universe Dollars None or not in universe Amount in dollars Less than 1 full year old Years old Change occurred No change occurred Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data None or not in universe Amount in dollars Not in Universe 25:99 employees Under 25 employees 100+ employees Under 25 employees 25:99 employees 100+ employees Not in Universe Not imputed Logical imputation(derivation) Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Dollar amount Statistical or logical imputation using previous wave data Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Cold deck imputation Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Dollar amount Once a week Twice a month On commission Not reported Once every two weeks Some other way Not in Universe Unpaid in a family business or farm Once a month Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not in Universe No Yes Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Not imputed Logical imputation(derivation) Cold deck imputation Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Logical imputation(derivation) Sequence Number School/training Own injury Quit for some other reason To start other business/take job Season ended for a seasonal business Childcare problems Not in Universe Sold business or transferred ownership Retirement or old age Own illness Went bankrupt/business failed Other family/personal problems Own injury Childcare problems Other family/personal problems Sold business or transferred ownership Quit for some other reason Not in Universe School/training Went bankrupt/business failed Retirement or old age Own illness To start other business/take job Season ended for a seasonal business Dollar amount None or not in universe Monthly rent No Not in Universe Yes Yes No Not universe Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Not in Universe Yes No None or not in universe Dollar amount Once every two weeks On commission Once a week Not reported Twice a month Some other way Once a month Not in Universe Unpaid in a family business or farm Logical imputation(derivation) Statistical imputation(hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Logical imputation(derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation(hot deck) Cold deck imputation Because of family changes Other, specify Became Ineligible because program requirements not met Eligibility ran out because of time limits Still eligible but could/chose not to collect Became ineligible because of increased income Not in Universe Became Ineligible because program requirements not met Other, specify Eligibility ran out because of time limits Not in Universe Became ineligible because of increased income Still eligible but could/chose not to collect Because of family changes None or not in universe Amount in dollars Not in Universe No payment received Survivor Not in Universe Enrolled part-time Not enrolled Enrolled full-time Number of own children under 18 Rotation of data collection Not in Universe Date Not in Universe Date Separated Never Married Married, spouse present Widowed Divorced Married, spouse absent Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Logical imputation (derivation) Not in Universe No Yes Statistical imputation(hot deck) Logical imputation(derivation) Cold deck imputation Not imputed Statistical or logical imputation using previous wave data No Yes Not in Universe Not In Universe Person number Half sample code Not In Universe Person number Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Not imputed Yes No Not in Universe Entry address ID Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not in Universe Yes No Over 65 Not in Universe Became disabled/blind Other, specify None or not in universe Amount in dollars Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Other, specify Over 65 Not in Universe Became disabled/blind No Not in Universe Yes Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data None or not in universe Amount in dollars Yes, covered No, not covered Not in Universe None or not in universe Amount in dollars Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Not imputed Statistical or logical imputation using previous wave data None or not in universe Amount in dollars Statistical imputation(hot deck) Cold deck imputation Logical imputation(derivation) Statistical or logical imputation using previous wave data Not imputed Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Cold deck imputation Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Logical imputation(derivation) Yes No Not in Universe Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Dollar amount Yes Not in Universe No Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Dollar amount Yes No Not in Universe None or not in universe Dollar amount No Not in Universe Yes Yes Not in Universe No Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Cold deck imputation Not answered Month of year Yes No Not in Universe Not in Universe No Yes No Not in Universe Yes Yes No Not in Universe Person # of family reference person Statistical imputation (hot deck) Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Logical imputation (derivation) None or not in universe Amount in dollars 2 weeks 3 weeks 1 week 0 weeks (that is, not absent w/out pay from a job) 4 weeks Not in Universe 5 weeks (if applicable) Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Not in Universe Yes No None or not in universe Amount in dollars None or not in universe Amount in dollars Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Yes Not in Universe No Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not in Universe Yes No Not in Universe Yes No Pregnancy/birth of child Other, specify Loss of other support income Just got around to applying Became disabled Just learned about program Began receiving for another dependent Not in Universe Separated or divorced from spouse/parent Loss of job/wages/other income Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Not in Universe Began receiving for another dependent Just learned about program Other, specify Loss of other support income Separated or divorced from spouse/parent Pregnancy/birth of child Just got around to applying Loss of job/wages/other income Became disabled No Not in Universe Yes Not In Universe Person number 4 weeks 1 week 0 weeks (that is, did not have a job) Not in Universe 5 weeks (if applicable) 3 weeks 2 weeks No imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Yes No Not in Universe Logical imputation(derivation) Not imputed Cold deck imputation Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Yes Not in Universe No Not imputed Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Cold deck imputation Logical imputation(derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Logical imputation (derivation) No Not in Universe Yes Reduced-price lunch Free lunch Not in Universe Yes No Not in Universe Yes Not in Universe No Yes No Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation(derivation) Logical imputation(derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Statistical imputation(hot deck) Yes No Not in Universe Dollar amount Not in Universe No Yes Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Private not for profit employee Federal government worker Private for profit employee Family worker without pay Not in Universe Local government worker State government worker No Not in Universe Yes Not in Universe No Yes Yes No Not in Universe None or not in universe Amount in dollars None or not in universe Dollars Not in Universe Private not for profit employee Local government worker Federal government worker Private for profit employee Family worker without pay State government worker Wave of data collection None or not in universe Dollars Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Not imputed Logical imputation (derivation) Logical imputation (derivation) Not imputed Cold deck imputation Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not In Universe Person number No Not in Universe Yes Not In Universe Person number Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Cold deck imputation Not In Universe Person number Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Logical imputation(derivation) Cold deck imputation Not imputed Number of related subfamilies Not In Universe Person number Not imputed Cold deck imputation Logical imputation(derivation) Statistical imputation(hot deck) Statistical or logical imputation using previous wave data No payment received Retirement Retirement and survivor Survivor Not in Universe None or not in universe Amount in dollars Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Not in Universe Yes No Not in Universe Person # of rel. subfamily reference person Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Public administration Agriculture, forestry and fisheries Manufacturing: durable goods Professional and related services Not in Universe Wholesale trade: nondurable goods Mining Transportation, communications and other public utilities Wholesale Trade: durable goods Finance, insurance and real estate Business and repair services Personal services Manufacturing: nondurable goods Entertainment and recreation services Construction Retail trade Entertainment and recreation services Professional and related services Public administration Wholesale Trade: durable goods Wholesale trade: nondurable goods Manufacturing: durable goods Personal services Not in Universe Transportation, communications and other public utilities Business and repair services Agriculture, forestry and fisheries Construction Retail trade Finance, insurance and real estate Mining Manufacturing: nondurable goods Pregnancy/birth of child Just learned about program Other, specify Began receiving for another dependent Separated or divorced from spouse/parent Not in Universe Loss of other support income Loss of job/wages/other income Just got around to applying Became disabled Just got around to applying Began receiving for another dependent Loss of job/wages/other income Became disabled Not in Universe Just learned about program Pregnancy/birth of child Separated or divorced from spouse/parent Loss of other support income Other, specify Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation None or not in universe Dollars Dollar amount Female Male Not answered Day of month Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Not In Universe Person number Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Not imputed Not In Universe Person number No imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Not In Universe Person number No father in household Person number Not in Universe Date First Reference month Third Reference month Second Reference month Fourth Reference month Not in Universe Date None or not in universe Dollars Spouse of reference person of a rel. or unrel. subfamily Not In Universe Child (under 18) of reference person of a rel. or unrel. subfamily Reference person of a rel. or unrel. subfamily None or not in universe Dollars Secondary indiv (not a family member) Primary Individual Primary family Unrelated subfamily Related subfamily None or not in universe Amount in dollars Disability and Survivor Disability Not in Universe Survivor No payment received Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Yes No Not in Universe Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Owned or being bought by you or someone in your hhld Rented for cash Occupied without payment of cash rent Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Not imputed Cold deck imputation Logical imputation(derivation) Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data None or not in universe Dollars Statistical imputation(hot deck) Not imputed Statistical or logical imputation using previous wave data Logical imputation(derivation) Cold deck imputation Logical imputation (derivation) Not imputed Cold deck imputation Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not in Universe Employer or union provided Privately purchased Spouse not in hhld or person not married Person number Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Persons in family Yes No Not in Universe Yes No Not in Universe Household Address ID No Not in Universe Yes Miscellaneous vehicle dealers (555, 556, 557, 559) Lumber and construction materials (503) Industrial and miscellaneous chemicals (281, 286, 289) Social services, n.e.c. (832, 839) Stores, household appliance (572) Electrical goods (506) Railroads (40) Bus service and urban transit (41, except 412) Laundry, cleaning, and garment services (721 except part 7219) Beauty shops (723) Miscellaneous professional and rel. services (899) Trucking service (421, 423) Vending machine operators (5962) Direct selling establishments (5963) Farm-product raw materials (515) Metalworking machinery (354) Other rubber products, and plastics footwear and belting (302-306) Household appliances (363) Executive and legislative offices (911-913) Variety stores (533) Aircraft and parts (372) Wood buildings and mobile homes (245) Ship and boat building and repairing (373) Miscellaneous wood products (244, 249) Bowling centers (793) Cycles and miscellaneous transportation equipment (375, 379) Knitting mills (225) Environmental quality and housing programs administration(95) Oil and gas extraction (13) Not spec manufacturing industries Miscellaneous fabricated textile products (239) Paperboard containers and boxes (265) Soaps and cosmetics (284) Gasoline service stations (554) Family child care homes (part 835) Museums, art galleries, and zoos (84) Religious organizations (866) Engineering, architectural, and surveying services (871) Eating and drinking places (58) Accounting, auditing, and bookkeeping services (872) Scrap and waste materials (5093) U.S. Postal Service (43) Jewelry stores (5944) Funeral service and crematories (726) Shoe repair shops (725) Misc fabricated metal products (341, 343, 347, 349) Catalog and mail order houses (5961) Pipe lines, except natural gas (46) Services incidental to transportation (47) Construction and material handling machines (353) Retail florists (5992) Farm supplies (5191) Telephone communications (481) Gas and steam supply systems (492, 496) Miscellaneous plastics products (308) Canned, frozen and preserved fruits and vegetables (203) Not specified utilities Theaters and motion pictures (781-783, 792) Glass and glass products (321-323) National security and international affairs (97) Coal mining (12) Toys, amusement, and sporting goods (394) Stores, dairy products (545) Metal forgings and stampings (346) Ordnance (348) Colleges and universities (822) Drugs (283) Stores, Auto and home supply (553) Stores, apparel and accessory, except shoe (56, except 566) Agricultural chemicals (287) Professional and commercial equipment and supplies (504) Electrical repair shops (762, 7694) Taxicab service (412) Management and public relations services (874) Footwear, except rubber and plastic (313, 314) Electrical machinery, equipment, and supplies, n.e.c. (361, 362, 364, 367, 369) Sanitary services (495) Logging (241) Justice, public order, and safety (92) Veterinary services (074) Beverage industries (208) Structural clay products (325) Forestry (08) Pottery and related products (326) Miscellaneous nonmetallic mineral and stone products (328, 329) Dentists offices and clinics (802) Credit agencies, n.e.c. (61) Blast furnaces, steelworks, rolling and finishing mills (331) Miscellaneous textile mill products (229) Iron and steel foundries (332) Insurance (63, 64) Pulp, paper, and paperboard mills (261-263) Legal services (81) Grocery stores (541) CONSTRUCTION (15, 16, 17) Vocational schools (824) Detective and protective services (7381, 7382) Business services, n.e.c. (732, 733, 735, 7383-7389) Persons whose labor force status is unemployed and whose last job was Armed Forces Shoe stores (566) Metals and minerals, except petroleum (505) Liquor stores (592) Stores, sporting goods, bicycles, and hobby (5941, 5945, 5946) Drugs, chemicals and allied products (512, 516) Not specified metal industries Groceries and related products (514) Petroleum products (517) Radio and television broadcasting and cable (483, 484) Stores, Miscellaneous retail (593, 5948, 5993-5995, 5999) Computers and rel. equipment (3571-3577) Not specified wholesale trade Meat products (201) Mobile home dealers (527) Water supply and irrigation (494, 497) Motor vehicles and motor vehicle equipment (371) Agricltrl production, livestock (02) Medical, dental, and optical instruments and supplies (3827, 384, 385) Photographic equipment and supplies (386) Watches, clocks, and clockwork operated devices (387) Yarn, thread, and fabric mills (221-224, 228) Optometrists offices and clinics (8042) Advertising (731) Screw machine products (345) Retail bakeries (546) Personnel supply services (736) Libraries (823) Computer and data processing services (737) Educational services, n.e.c. (829) Child day care services (part 835) Automotive rental and leasing, w/out drivers (751) Residential care facilities, w/out nursing (836) Automotive parking and carwashes (752, 7542) Automotive repair and rel. services (753, 7549) Stores, radio, TV, and computer (5731, 5734) Membership organizations, n.e.c. (861, 862, 864, 865, 869) Music stores (5735, 5736) Hotels and motels (701) Research, development, and testing services (873) Warehousing and storage (422) Barber shops (724) Air transportation (45) Dressmaking shops (part 7219) Fuel dealers (598) Leather tanning and finishing (311) Radio, TV, and communication equipment (365, 366) General government, n.e.c. (919) Guided missiles, space vehicles, and parts (376) Public finance, taxation, and monetary policy (93) Scientific and controlling instruments (381, 382 except 3827) Tobacco manufactures (21) Agricultural services, n.e.c. (071, 072, 075, 076) Apparel and accessories, except knit (231-238) Health practitioners offices and clinics, n.e.c. (8043, 8049) HOSPITALS (806) Cutlery, handtools, and general hardware (342) Health services, n.e.c. (807, 808, 809) Newspaper publishing and printing (271) Paints, varnishes, and rel. products (285) Stores, furniture and home furnishings (571) Labor unions (863) Misc repair services (763, 764, 7692, 7699) PRIVATE HOUSEHOLDS (88) Hardware, plumbing and heating supplies (507) Paper and paper products (511) Gift, novelty, and souvenir shops (5947) Sewing, needlework and piece goods stores (5949) Apparel, fabrics, and notions (513) Not specified retail trade Grain mill products (204) Video tape rental (784) Human resources programs administration(94) Physicians offices and clinics (801, 803) Dyeing and finishing textiles, except wool and knit goods (226) Primary aluminum industries (3334, part 334, 3353-3355, 3363, 3365) Nonmetallic mining and quarrying, except fuel (14) Stores, misc general merchandise (539) Elementary and secondary schools (821) Food stores, n.e.c. (542, 543, 544, 549) Motor vehicle dealers (551, 552) Plastics, synthetics, and resins (282) Job training and vocational rehabilitation services (833) Furniture and home furnishings (502) Lodging places, except hotels and motels (702, 703, 704) Machinery, equipment, and supplies (508) Miscellaneous wholesale, durable goods (509 except 5093) Water transportation (44) Engines and turbines (351) Farm machinery and equipment (352) Petroleum refining (291) Telegraph and miscellaneous communications services (482, 489) Miscellaneous petroleum and coal products (295, 299) Tires and inner tubes (301) Lumber and building material retailing (521, 523) Stores, Retail nurseries and garden (526) Dairy products (202) Not specified electrical machinery, equipment, and supplies Sawmills, planing mills, and millwork (242, 243) Bakery products (205) Sugar and confectionery products (206) Railroad locomotives and equipment (374) Furniture and fixtures (25) Landscape and horticultural services (078) Cement, concrete, gypsum, and plaster products (324, 327) Miscellaneous entertainment and recreation services (791, 794, 799) Economic programs administration(96) Carpets and rugs (227) Banking (60 except 603 and 606) Savings institutions, including credit unions (603, 606) Metal mining (10) Security, commodity brokerage, and investment companies (62, 67) Nursing and personal care facilities (805) Miscellaneous paper and pulp products (267) Services to dwellings and other buildings (734) Printing, publishing, and allied industries, except newspapers (272-279) Motor vehcls and equipment (501) Drug stores (591) Stores, Book and stationery (5942, 5943) Misc personal services (722, 729) Not in Universe Alcoholic beverages (518) Misc wholesale, nondurable goods (5192-5199) Office and accounting machines (3578, 3579) Electric light and power (491) Machinery, except electrical, n.e.c. (355, 356, 358, 359) Electric and gas, and other combinations (493) Not specified machinery Hardware stores (525) Leather products, except footwear (315-317, 319) Department stores (531) Agricultural production, crops (01) Miscellaneous food preparations and kindred products (207, 209) Not specified food industries Fishing, hunting, and trapping (09) Chiropractors offices and clinics (8041) Miscellaneous manufacturing industries (39 except 394) Real estate, including real estate-insurance offices (65) Other primary metal industries (3331,3339, part 334,3351,3356-57,3364,3366,3369,339) Fabricated structural metal products (344) None or not in universe Dollar amount Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data No Yes Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Cold deck imputation Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Logical imputation (derivation) Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Not imputed Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Number of recipients Not imputed Statistical or logical imputation using previous wave data Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Yes No Variety stores (533) Sawmills, planing mills, and millwork (242, 243) Beverage industries (208) Miscellaneous food preparations and kindred products (207, 209) Landscape and horticultural services (078) Scientific and controlling instruments (381, 382 except 3827) Structural clay products (325) Watches, clocks, and clockwork operated devices (387) Optometrists offices and clinics (8042) Metal mining (10) Toys, amusement, and sporting goods (394) Health practitioners offices and clinics, n.e.c. (8043, 8049) Other primary metal industries (3331,3339, part 334,3351,3356-57,3364,3366,3369,339) Stores, misc general merchandise (539) Services to dwellings and other buildings (734) CONSTRUCTION (15, 16, 17) Ordnance (348) Colleges and universities (822) Food stores, n.e.c. (542, 543, 544, 549) Drugs (283) Job training and vocational rehabilitation services (833) Business services, n.e.c. (732, 733, 735, 7383-7389) Residential care facilities, w/out nursing (836) Membership organizations, n.e.c. (861, 862, 864, 865, 869) PRIVATE HOUSEHOLDS (88) Lodging places, except hotels and motels (702, 703, 704) Research, development, and testing services (873) Laundry, cleaning, and garment services (721 except part 7219) Management and public relations services (874) Stores, sporting goods, bicycles, and hobby (5941, 5945, 5946) Warehousing and storage (422) Petroleum products (517) Retail florists (5992) Radio and television broadcasting and cable (483, 484) Farm supplies (5191) Metalworking machinery (354) Electric light and power (491) Electric and gas, and other combinations (493) Hardware stores (525) Leather tanning and finishing (311) General government, n.e.c. (919) Mobile home dealers (527) Aircraft and parts (372) Guided missiles, space vehicles, and parts (376) Environmental quality and housing programs administration(95) National security and international affairs (97) Fishing, hunting, and trapping (09) Photographic equipment and supplies (386) Dentists offices and clinics (802) Retail bakeries (546) Personnel supply services (736) Stores, Auto and home supply (553) Motor vehcls and equipment (501) Lumber and construction materials (503) Persons whose labor force status is unemployed and whose last job was Armed Forces Social services, n.e.c. (832, 839) Automotive repair and rel. services (753, 7549) Railroads (40) Hardware, plumbing and heating supplies (507) Drug stores (591) Miscellaneous plastics products (308) Stores, Retail nurseries and garden (526) Leather products, except footwear (315-317, 319) Executive and legislative offices (911-913) Water supply and irrigation (494, 497) Motor vehicles and motor vehicle equipment (371) Sugar and confectionery products (206) Agricultural production, crops (01) Agricltrl production, livestock (02) Ship and boat building and repairing (373) Video tape rental (784) Bowling centers (793) Tobacco manufactures (21) Knitting mills (225) Physicians offices and clinics (801, 803) Dyeing and finishing textiles, except wool and knit goods (226) Miscellaneous textile mill products (229) Apparel and accessories, except knit (231-238) Real estate, including real estate-insurance offices (65) Health services, n.e.c. (807, 808, 809) Stores, dairy products (545) Metal forgings and stampings (346) Computer and data processing services (737) Plastics, synthetics, and resins (282) Industrial and miscellaneous chemicals (281, 286, 289) Professional and commercial equipment and supplies (504) Stores, household appliance (572) Stores, radio, TV, and computer (5731, 5734) Music stores (5735, 5736) Engineering, architectural, and surveying services (871) Eating and drinking places (58) Bus service and urban transit (41, except 412) Liquor stores (592) Scrap and waste materials (5093) Miscellaneous wholesale, durable goods (509 except 5093) Barber shops (724) Paper and paper products (511) Drugs, chemicals and allied products (512, 516) Pipe lines, except natural gas (46) Vending machine operators (5962) Direct selling establishments (5963) Computers and rel. equipment (3571-3577) Household appliances (363) Department stores (531) Miscellaneous entertainment and recreation services (791, 794, 799) Savings institutions, including credit unions (603, 606) Oil and gas extraction (13) Iron and steel foundries (332) Security, commodity brokerage, and investment companies (62, 67) Nursing and personal care facilities (805) Vocational schools (824) Libraries (823) Automotive rental and leasing, w/out drivers (751) Agricultural chemicals (287) Sewing, needlework and piece goods stores (5949) Telephone communications (481) Office and accounting machines (3578, 3579) Not specified retail trade Radio, TV, and communication equipment (365, 366) Meat products (201) Footwear, except rubber and plastic (313, 314) Sanitary services (495) Justice, public order, and safety (92) Human resources programs administration(94) Not spec manufacturing industries Primary aluminum industries (3334, part 334, 3353-3355, 3363, 3365) Nonmetallic mining and quarrying, except fuel (14) Pulp, paper, and paperboard mills (261-263) Miscellaneous paper and pulp products (267) Paperboard containers and boxes (265) Furniture and home furnishings (502) Stores, apparel and accessory, except shoe (56, except 566) Paints, varnishes, and rel. products (285) Taxicab service (412) Machinery, equipment, and supplies (508) Miscellaneous professional and rel. services (899) Stores, Book and stationery (5942, 5943) Jewelry stores (5944) Shoe repair shops (725) Water transportation (44) Air transportation (45) Apparel, fabrics, and notions (513) Groceries and related products (514) Fuel dealers (598) Not in Universe Alcoholic beverages (518) Miscellaneous petroleum and coal products (295, 299) Tires and inner tubes (301) Lumber and building material retailing (521, 523) Dairy products (202) Veterinary services (074) Miscellaneous wood products (244, 249) Furniture and fixtures (25) Public finance, taxation, and monetary policy (93) Glass and glass products (321-323) Pottery and related products (326) Miscellaneous nonmetallic mineral and stone products (328, 329) Banking (60 except 603 and 606) Blast furnaces, steelworks, rolling and finishing mills (331) Miscellaneous manufacturing industries (39 except 394) Insurance (63, 64) Cutlery, handtools, and general hardware (342) Fabricated structural metal products (344) Advertising (731) Elementary and secondary schools (821) Grocery stores (541) Screw machine products (345) Newspaper publishing and printing (271) Detective and protective services (7381, 7382) Family child care homes (part 835) Electrical repair shops (762, 7694) Beauty shops (723) Trucking service (421, 423) Funeral service and crematories (726) Misc fabricated metal products (341, 343, 347, 349) Catalog and mail order houses (5961) Not specified metal industries Construction and material handling machines (353) Machinery, except electrical, n.e.c. (355, 356, 358, 359) Canned, frozen and preserved fruits and vegetables (203) Logging (241) Bakery products (205) Railroad locomotives and equipment (374) Not specified food industries Theaters and motion pictures (781-783, 792) Cycles and miscellaneous transportation equipment (375, 379) Cement, concrete, gypsum, and plaster products (324, 327) Agricultural services, n.e.c. (071, 072, 075, 076) Carpets and rugs (227) Yarn, thread, and fabric mills (221-224, 228) Miscellaneous fabricated textile products (239) HOSPITALS (806) Printing, publishing, and allied industries, except newspapers (272-279) Soaps and cosmetics (284) Educational services, n.e.c. (829) Miscellaneous vehicle dealers (555, 556, 557, 559) Automotive parking and carwashes (752, 7542) Shoe stores (566) Museums, art galleries, and zoos (84) Metals and minerals, except petroleum (505) Electrical goods (506) Religious organizations (866) Hotels and motels (701) Accounting, auditing, and bookkeeping services (872) U.S. Postal Service (43) Dressmaking shops (part 7219) Misc personal services (722, 729) Farm machinery and equipment (352) Stores, Miscellaneous retail (593, 5948, 5993-5995, 5999) Misc wholesale, nondurable goods (5192-5199) Not specified wholesale trade Gas and steam supply systems (492, 496) Not specified machinery Electrical machinery, equipment, and supplies, n.e.c. (361, 362, 364, 367, 369) Not specified electrical machinery, equipment, and supplies Not specified utilities Grain mill products (204) Wood buildings and mobile homes (245) Medical, dental, and optical instruments and supplies (3827, 384, 385) Economic programs administration(96) Forestry (08) Chiropractors offices and clinics (8041) Credit agencies, n.e.c. (61) Coal mining (12) Legal services (81) Motor vehicle dealers (551, 552) Child day care services (part 835) Gasoline service stations (554) Stores, furniture and home furnishings (571) Labor unions (863) Misc repair services (763, 764, 7692, 7699) Gift, novelty, and souvenir shops (5947) Farm-product raw materials (515) Engines and turbines (351) Services incidental to transportation (47) Petroleum refining (291) Telegraph and miscellaneous communications services (482, 489) Other rubber products, and plastics footwear and belting (302-306) Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation(derivation) Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Dollar amount Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Logical imputation(derivation) Cold deck imputation Not imputed Change occurred No change occurred Not In Universe No Yes Not in Universe Not in Universe Under 25 employees 25 to 99 employees 100+ employees 100+ employees Under 25 employees 25 to 99 employees Not in Universe Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Logical imputation (derivation) Cold deck imputation Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Dominican Republic Polish Canadian Mexican African-American or Afro-American Slovak Welsh English Hungarian Mexican-American American Indian, Eskimo, or Aleut Cuban Asian Scotch-Irish South American Arab Other European Central American Other Hispanic Scandinavian Pacific Islander Scottish French Chicano Puerto Rican Russian West Indian Another group not listed Dutch French-Canadian German Irish Italian American Loss of other support income Began receiving for another dependent Separated or divorced from spouse/parent Became disabled Not in Universe Just got around to applying Pregnancy/birth of child Loss of job/wages/other income Just learned about program Other, specify Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation None or not in universe Amount in dollars Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Pregnancy/birth of child Began receiving for another dependent Separated or divorced from spouse/parent Loss of job/wages/other income Just got around to applying Became disabled Loss of other support income Other, specify Just learned about program Not in Universe Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Yes Not in Universe No None or not in universe Amount in dollars Not in Universe Yes No Dollar amount Cold deck imputation Logical imputation(derivation) Statistical imputation(hot deck) Not imputed Statistical or logical imputation using previous wave data Dollar amount Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Yes No Not in Universe administrators, protective services (1131) Marine engineers (8244) Misc metal and plastic processing machine operators (7349, 7549) Sawing machine operators (7433, 7633) Nailing and tacking machine operators (7636) Printing press operators (7443, 7643) Explosives workers (653) Misc material moving equipment operators (8319) Garbage collectors (8722) Farm equipment mechanics (6118) Industrial machinery repairers (613) Machinist apprentices (part 6813) Launderers and ironers (503) Cooks, private household (504) Supervisors, firefighting and fire prevention occupations(5111) Supervisors, general office (4511, 4513, 4514, 4516, 4519, 4529) Guards and police, except public service (5144) Upholsterers (6853) Supervisors, distribution, scheduling, and adjusting clerks (4522, 4524-4528) Secretaries (4622) Supervisors, painters, paperhangers, and plasterers (6315) Supervisors, plumbers, pipefitters, and steamfitters (6316) Hotel clerks (4643) Receptionists (4645) Electrical/electronic equipment assemblers (6867) Msc precision workers, n.e.c. (6869) Bakers (6872) Carpenters (part 6422) Supervisors, cleaning and building service workers (5241) Janitors and cleaners (5244) Electrical power installers and repairers (6433) Hairdressers and cosmetologists (5253) Guides (5255) Mail preparing and paper handling machine operators (4723) Therapists, n.e.c. (3039) managers, properties and real estate (1353) Marine life cultivation workers (5618) Traffic, shipping, and receiving clerks (4753) Sociology teachers (2224) underwriters (1414) personnel, training, and labor relations specialists (143) buyers, wholesale and retail trade except farm products (1442) Forestry workers, except logging (572) Securities and financial services sales occupations (4124) Business, commerce, and marketing teachers (2233) Bill and account collectors (4786) Hunters and trappers (584) Art, drama, and music teachers (2235) construction inspectors (1472) English teachers (2238) Sales workers, shoes (4351) Sales workers, furniture and home furnishings (4348) Administrative support occupations, n.e.c. (4787, 4799) architects (161) Sales workers, other commodities (4345, 4347, 4354, 4356, 4359, 4362, 4369) Sociologists (1916) Urban planners (192) Forestry and conservation scientists (1852) Technical writers (398) chief executives and general administrators, public administration (112) financial managers (122) Operators, lathe and turning machine (7512) Railroad brake, signal, and switch operators (8233) Milling and planing machine operators (7313, 7513) Operating engineers (8312) Hoist and winch operators (8314) Pressing machine operators (7657) Miscellaneous textile machine operators (7459, 7659) Aircraft engine mechanics (6113) Stock handlers and baggers (8724) Folding machine operators (7474, 7674) Vehicle washers and equipment cleaners (875) Private hhld cleaners and servants (502, 507, 509) Miscellaneous electrical and electronic equipment repairers (6152, 6159) Misc precision metal workers (6829) Solderers and brazers (7333, 7533, 7717) Dressmakers (part 6852, part 7752) Supervisors, financial records processing (4521) Specified mechanics and repairers, n.e.c. (6177, 6179) Supervisors, carpenters and rel. workers (6313) Hand molders and shapers, except jewelers (6861) Bartenders (5212) Kitchen workers, food preparation (5217) Health aides, except nursing (5233) Correspondence clerks (4663) Radiologic technicians (365) Order clerks (4664) Elevator operators (5245) Pest control occupations (5246) Mechanical engineering technicians (3713) Billing clerks (4715) Chemical technicians (3831) Family child care providers (part 5264) Early childhood teacher's assistants (part 5264) Air traffic controllers (392) Telephone operators (4732) Mail clerks, except postal service (4744) Supervisors, farm workers (5611) Economics teachers (2218) Groundskeepers and gardeners, except farm (5622) Political science teachers (2223) Computer science teachers (2228) Expediters (4758) Supervisors, forestry and logging workers (571) Timber cutting and logging occupations (573, 579) Advertising and rel. sales occupations (4153) management rel. occupations, n.e.c. (149) Proofreaders (4792) Sales workers, apparel (4346) Statistical clerks (4794) Theology teachers (2245) Sales workers, hardware and building supplies (4353) Home economics teachers (2247) Postsecondary teachers, subject not specified Teachers, prekindergarten and kindergarten (231) Engineers, industrial (1634) surveyors and mapping scientists (164) Geologists and geodesists (1847) Medical scientists (1855) Optometrists (281) Athletes (34) Registered nurses (29) Occupational therapists (3032) personnel and labor relations managers (123) Truck drivers (8212-8214) Taxicab drivers and chauffeurs (8216) Rail vehicle operators, n.e.c. (8239) Drilling and boring machine operators (7318, 7518) Grinding, abrading, buffing, and polishing machine operators (7322, 7324, 7522) Metal plating machine operators (7343, 7543) Drillers, oil well (652) Industrial truck and tractor equipment operators (8318) Miscellaneous printing machine operators (6849, 7449, 7649 Helpers, construction trades (8641-8645, 8648) Automobile body and rel. repairers (6115) Precision assemblers, metal (6812) Painting and paint spraying machine operators (7669) Washing, cleaning, and pickling machine operators (7673) Furnace, kiln, and oven operators, except food (7675) Hhld appliance and power tool repairers (6156) Laborers, except construction (8769) Telephone line installers and repairers (6157) Cabinet makers and bench carpenters (6832) Office machine repairers (6174) Welders and cutters (7332, 7532, 7714) Correctional institution officers (5133) Hand molding, casting, and forming occupations (7754, 7755) Supervisors, computer equipment operators (4512) Not specified mechanics and repairers Supervisors, electricians and power transmission installers (6314) Production testers (783) Production samplers and weighers (784) Clinical laboratory technologists and technicians (362) Dental hygienists (363) Health record technologists and technicians (364) Painters, construction and maintenance (6442) Baggage porters and bellhops (5262) Duplicating machine operators (4722) Science technicians, n.e.c. (3832, 3833, 384, 389) Airplane pilots and navigators (825) Glaziers (6464) Horticultural specialty farmers (5515) Legal assistants (396) Managers, horticultural specialty farms (5525) Psychology teachers (2217) managers, marketing, advertising, and public relations (125) managers, food serving and lodging establishments (1351) managers, service organizations, n.e.c. (127, 1352, 1354, part 1359) management analysts (142) Insurance sales occupations (4122) General office clerks (463) Social work teachers (2244) Sales workers, parts (4367) News vendors (4365) Clergy (2042) Lawyers and Judges Musicians and composers (323) Pharmacists (301) Motor transportation occupations, n.e.c. (8219) Locomotive operating occupations (8232) Ship captains and mates, except fishing boats (part 8241, 8242) Fabricating machine operators, n.e.c. (7339, 7539) Molding and casting machine operators (7315, 7342, 7515, 7524) Heat treating equipment operators (7344, 7544) Longshore equipment operators (8313) Excavating and loading machine operators (8316) Photoengravers and lithographers (6842, 7444, 7644) Helpers, surveyor (8646) Small engine repairers (6114) Cementing and gluing machine operators (7661) Stevedores (8723) Precision grinders, filers, and tool sharpeners (6816) Crushing and grinding machine operators (part 7477, part 7677) Supervisors, police and detectives (5112) Misc precision woodworkers (6839) Mechanical controls and valve repairers (6175) Millwrights (6178) Tailors (part 6852) Hand painting, coating, and decorating occupations (7756) Chief communications operators (4523) Protective service occupations, n.e.c. (5149) Computer operators (4612) Miscellaneous hand working occupations (7758, 7759) Supervisors, food preparation and service occupations(5211) Production inspectors, checkers, and examiners (782, 787) Typists (4624) Graders and sorters, except agricultural (785) Bookbinders (6844) Transportation ticket and reservation agents (4644) Brickmasons and stonemasons (part 6412, part 6413) Library clerks (4694) Adjusters and calibrators (6882) Electrical and electronic technicians (3711) Ushers (5256) Physical therapists (3033) Child care wrkrs, n.e.c. (part 5264) Physicians' assistants (304) Computer programmers (3971, 3972) Technicians, n.e.c. (399) Drillers, earth (6474) Construction trades, n.e.c. (6467, 6475, 6476, 6479) Dispatchers (4751) Supervisors and Proprietors, Sales Occupations (40) Stock and inventory clerks (4754) Inspectors, agricultural products (5627) Medical science teachers (2231) Education teachers (2237) purch. agents and buyers, n.e.c. (1449) business and promotion agents (145) Sales workers, motor vehicles and boats (4342, 4344) Foreign language teachers (2242) Sales counter clerks (4363) Cashiers (4364) Teachers, secondary school (233) marine and naval architects (1637) operations and systems researchers and analysts (172) Actuaries (1732) Mathematical scientists, n.e.c. (1739) Physicists and astronomers (1842, 1843) Recreation workers (2033) Religious workers, n.e.c. (2049) Painters, sculptors, craft-artists, and artist printmakers (325) Photographers (326) Artists, performers, and rel. workers, n.e.c. (328,329) Persons whose current labor force status is unemployed and last job was Armed Forces Forging machine operators (7319, 7519) Numerical control machine operators (7326) Miscellaneous metal, plastic, stone, and glass working machine operators (7329, 7529) Supervisors, material moving equipment operators (812) Crane and tower operators (8315) Grader, dozer, and scraper operators (8317) Shoe machine operators (7656) Automobile mechanics (part 6111) Auto mechanic apprentices (part 6111) Bus, truck, and stationary engine mechanics (6112) Production helpers (861, 862) Extruding and forming machine operators (7463, 7663) Tool and die mkr apprentices (part 6811) Mixing and blending machine operators (7664) Aircraft mechanics, except engine (6116) Freight, stock, and material handlers, n.e.c. (8726) Roasting and baking machine operators, food (7472, 7672) Boilermakers (6814) Electronic repairers, communications and industrial equipment (6151, 6153, 6155) Patternmakers and model makers, metal (6817) Data processing equipment repairers (6154) Slicing and cutting machine operators (7478, 7678) Engravers, metal (6823) Motion picture projectionists (part 7479) Camera, watch, and musical instrument repairers (6171, 6172) Miscellaneous machine operators, n.e.c. (part 7479, 7665, 7679) Firefighting occupations (5123) Police and detectives, public service (5132) Assemblers (772, 774) Shoe repairers (6854) Hand engraving and printing occupations (7757) Supervisors, brickmasons, stonemasons, and tile setters (6312) Patternmakers, lay-out workers, and cutters (6862) Stenographers (4623) Optical goods workers (6864, part 7477, part 7677) Food batchmakers (6873, 6879) Licensed practical nurses (366) Power plant operators (part 693) Electrician apprentices (part 6432) Barbers (5252) Payroll and timekeeping clerks (4713) Public transportation attendants (5257) Welfare service aides (5263) Plumber, pipefitter, and steamfitter apprentices (part 645) Broadcast equipment operators (393) Paving, surfacing, and tamping equipment operators (6466) Communications equipment operators, n.e.c. (4733, 4739) Postal clerks, except mail carriers (4742) Structural metal workers (6473) Biological science teachers (2213) Physics teachers (2215) Natural science teachers, n.e.c. (2216) admin, education and rel. fields (128) managers, medicine and health (131) funeral directors (part 1359) Production coordinators (4752) Grader and sorter, agricultural products (5625) Social science teachers, n.e.c. (2225) Math. science teachers (2227) Material recording, scheduling, and distributing clerks, n.e.c. (4759) Insurance adjusters, examiners, and investigators (4782) Investigators and adjusters, except insurance (4783) Fishers (583) Sales engineers (421) Data-entry keyers (4793) aerospace engineers(1622) Teachers, special education (235) Counselors, Educational and Vocational (24) Economists (1912) Atmospheric and space scientists (1846) Agricultural and food scientists (1853) Dentists (262) Announcers (333) Respiratory therapists (3031) Driver-sales workers (8218) Set-up operators, lathe and turning machine (7312) Rolling machine operators (7316, 7516) Wood lathe, routing, and planing machine operators (7431, 7432, 7631, 7632) Mining machine operators (654) Heavy equipment mechanics (6117) Machinery maintenance occupations (614) Hand cutting and trimming occupations (7753) Cooks (5214, 5215) Maids and housemen (5242, 5249) Drywall installers (6424) Water and sewage treatment plant operators (691) Electricians (part 6432) Stationary engineers (part 693, 7668) Industrial engineering technicians (3712) Supervisors, personal service occupations (5251) Miscellaneous plant and system operators (692, 694, 695, 696) Drafting occupations (372) Plasterers (6444) Office mach. operators, n.e.c. (4729) Roofers (6468) Tool programmers, numerical control (3974) Sheetmetal duct installers (6472) Earth, environmental, and marine science teachers (2212) Chemistry teachers (2214) Supervisors, rel. agricultural occupations (5621) History teachers (2222) Meter readers (4755) managers and administrators, n.e.c. (121, 126, 132-1343, 136-139) accountants and auditors (1412) other financial officers (1415, 1419) Physical education teachers (2236) Sales representatives, mining, manufacturing, and wholesale (423, 424) Law teachers (2243) Teachers' aides (4795) Sales workers, radio, Tv, hi-fi, and appliances (4343, 4352) Trade and industrial teachers (2246) metallurgical and materials engineers (1623) chemical engineers (1626) nuclear engineers (1627) Teachers, postsecondary, n.e.c. (2249) Teachers, elementary school (232) Street and door-to-door sales workers (4366) Engineers, electrical and electronic (1633, 1636) Engineers, mechanical (1635) Demonstrators, promoters and models, sales (445) computer systems analysts and scientists (171) Social workers (2032) Physical scientists, n.e.c. (1849) Biological and life scientists (1854) Physicians (261) Podiatrists (283) Editors and reporters (331) Public relations specialists (332) Dietitians (302) purchasing managers (124) Supervisors, motor vehicle operators (8111) Punching and stamping press machine operators (7314, 7317, 7514, 7517) Sailors and deckhands (8243) Shaping and joining machine operators (7435, 7635) Supervisors, extractive occupations (632) Mining occupations, n.e.c. (656) Supervisors, mechanics and repairers (60) Supervisors, production occupations (67, 71) Packaging and filling machine operators (7462, 7662) Tool and die makers (part 6811) Separating, filtering, and clarifying machine operators (7476, 7666, 7676) Machine feeders and offbearers (8725) Machinists (part 6813) Compressing and compacting machine operators (7467, 7667) Lay-out workers (6821) Housekeepers and butlers (505) Precious stones and metals workers (Jewelers) (6822, 6866) Telephone installers and repairers (6158) Sheet metal workers (part 6824) Photographic process machine operators (6863, 6868, 7671) Sheet metal wrkr apprentices (part 6824) Supervisors, guards (5113) Locksmiths and safe repairers (6173) Fire inspection and fire prevention occupations (5122) Furniture and wood finishers (6835) Machine operators, not specified Sheriffs, bailiffs, and other law enforcement officers(5134) Crossing guards (5142) Peripheral equipment operators (4613) Dental laboratory and medical appliance technicians (6865) Interviewers (4642) Supervisors, construction, n.e.c. (6311, 6318) Food counter, fountain and rel. occupations (5216) Not in Universe Brickmason and stonemason apprentices (part 6412, part 6413) Information clerks, n.e.c. (4649) Tile setters, hard and soft (part 6414, part 6462) Butchers and meat cutters (6871) Carpet installers (part 6462) Carpenter apprentices (part 6422) File clerks (4696) Records clerks (4699) Bookkeepers, accounting, and auditing clerks (4712) Surveying and mapping technicians (373) Paperhangers (6443) Cost and rate clerks (4716) Billing, posting, and calculating machine operators (4718) Speech therapists (3034) Insulation workers (6465) Mail carriers, postal service (4743) Messengers (4745) Farm workers (5612-5617) Nursery workers (5619) Weighers, measurers, checkers, and samplers (4756, 4757) Real estate sales occupations (4123) Health specialties teachers (2232) Agriculture and forestry teachers (2234) inspectors and compliance officers, except construction (1473) Bank tellers (4791) petroleum engineers (1625) civil engineers (1628) agricultural engineers (1632) engineers, n.e.c. (1639) Librarians (251) Social scientists, n.e.c. (1913, 1914, 1919) Statisticians (1733) Chemists, except biochemists (1845) Authors (321) Designers (322) Actors and directors (324) Veterinarians (27) administrators and officials, public administration (1132-1139) Bus drivers (8215) Parking lot attendants (874) Railroad conductors and yardmasters (8113) Bridge, lock, and lighthouse tenders (8245) Miscellaneous woodworking machine operators (7434, 7439, 7634, 7639) Typesetters and compositors (6841, 7642) Winding and twisting machine operators (7451, 7651) Knitting, looping, taping, and weaving machine operators (7452, 7652) Textile cutting machine operators (7654) Supervisors, handlers, equipment cleaners, and laborers, n.e.c. (85) Textile sewing machine operators (7655) Helpers, mechanics, and repairers (863) Helpers, extractive occupations (865) Laundering and dry cleaning machine operators (6855, 7658) Construction laborers (871) Garage and service station rel. occupations (873) Hand packers and packagers (8761) Child care workers, private hhld (506) Heating, air conditioning, and refrigeration mechanics (616) Patternmkrs and model makers, wood (6831) Elevator installers and repairers (6176) Misc precision apparel and fabric workers (6856, 6859, part 7752) Waiters and waitresses (5213) Waiters'/waitresses' assistants (5218) Miscellaneous food preparation occupations (5219) Dental assistants (5232) Classified-ad clerks (4662) Nursing aides, orderlies, and attendants (5236) Inspectors, testers, and graders (6881, 828) Personnel clerks, except payroll and timekeeping (4692) Health technologists and technicians, n.e.c. (369) Engineering technicians, n.e.c. (3719) Attendants, amusement and recreation facilities (5254) Plumbers, pipefitters, and steamfitters (part 645) Biological technicians (382) Concrete and terrazzo finishers (6463) Personal service occupations, n.e.c. (5258, 5269) Farmers, except horticultural (5512-5514) Managers, farms, except horticultural (5522-5524) Animal caretakers, except farm (5624) Engineering teachers (2226) purchasing agents and buyers, farm products (1443) Captains and other officers, fishing vessels (part 8241) Eligibility clerks, social welfare (4784) Sales occupations, other business services (4152) mining engineers (1624) Teachers, n.e.c. (236, 239) Auctioneers (447) Sales support occupations, n.e.c. (444, 446, 449) Archivists and curators (252) Psychologists (1915) Health diagnosing practitioners, n.e.c. (289) Dancers (327) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Logical imputation (derivation) purchasing managers (124) Supervisors, motor vehicle operators (8111) Railroad conductors and yardmasters (8113) Punching and stamping press machine operators (7314, 7317, 7514, 7517) Drilling and boring machine operators (7318, 7518) Fabricating machine operators, n.e.c. (7339, 7539) Molding and casting machine operators (7315, 7342, 7515, 7524) Sawing machine operators (7433, 7633) Excavating and loading machine operators (8316) Typesetters and compositors (6841, 7642) Helpers, mechanics, and repairers (863) Pressing machine operators (7657) Auto mechanic apprentices (part 6111) Supervisors, production occupations (67, 71) Miscellaneous textile machine operators (7459, 7659) Aircraft engine mechanics (6113) Small engine repairers (6114) Stevedores (8723) Automobile body and rel. repairers (6115) Machinists (part 6813) Garage and service station rel. occupations (873) Vehicle washers and equipment cleaners (875) Lay-out workers (6821) Precious stones and metals workers (Jewelers) (6822, 6866) Motion picture projectionists (part 7479) Camera, watch, and musical instrument repairers (6171, 6172) Misc precision woodworkers (6839) Hand cutting and trimming occupations (7753) Supervisors, computer equipment operators (4512) Guards and police, except public service (5144) Hand painting, coating, and decorating occupations (7756) Secretaries (4622) Supervisors, electricians and power transmission installers (6314) Patternmakers, lay-out workers, and cutters (6862) Waiters and waitresses (5213) Transportation ticket and reservation agents (4644) Kitchen workers, food preparation (5217) Brickmason and stonemason apprentices (part 6412, part 6413) Carpenter apprentices (part 6422) Licensed practical nurses (366) Water and sewage treatment plant operators (691) Power plant operators (part 693) Pest control occupations (5246) Barbers (5252) Billing, posting, and calculating machine operators (4718) Air traffic controllers (392) Personal service occupations, n.e.c. (5258, 5269) Postal clerks, except mail carriers (4742) Managers, horticultural specialty farms (5525) Psychology teachers (2217) Groundskeepers and gardeners, except farm (5622) Inspectors, agricultural products (5627) managers, service organizations, n.e.c. (127, 1352, 1354, part 1359) personnel, training, and labor relations specialists (143) Forestry workers, except logging (572) General office clerks (463) Sales representatives, mining, manufacturing, and wholesale (423, 424) architects (161) Sales workers, other commodities (4345, 4347, 4354, 4356, 4359, 4362, 4369) Postsecondary teachers, subject not specified Librarians (251) Painters, sculptors, craft-artists, and artist printmakers (325) Veterinarians (27) Registered nurses (29) Respiratory therapists (3031) Occupational therapists (3032) personnel and labor relations managers (123) Driver-sales workers (8218) Operators, lathe and turning machine (7512) Supervisors, material moving equipment operators (812) Metal plating machine operators (7343, 7543) Longshore equipment operators (8313) Grader, dozer, and scraper operators (8317) Industrial truck and tractor equipment operators (8318) Winding and twisting machine operators (7451, 7651) Knitting, looping, taping, and weaving machine operators (7452, 7652) Shoe machine operators (7656) Construction laborers (871) Tool and die mkr apprentices (part 6811) Stock handlers and baggers (8724) Machine feeders and offbearers (8725) Machinist apprentices (part 6813) Precision grinders, filers, and tool sharpeners (6816) Heating, air conditioning, and refrigeration mechanics (616) Locksmiths and safe repairers (6173) Police and detectives, public service (5132) Upholsterers (6853) Peripheral equipment operators (4613) Electrical/electronic equipment assemblers (6867) Health aides, except nursing (5233) Food batchmakers (6873, 6879) Health record technologists and technicians (364) Inspectors, testers, and graders (6881, 828) Order clerks (4664) Personnel clerks, except payroll and timekeeping (4692) Drywall installers (6424) Electrician apprentices (part 6432) Mechanical engineering technicians (3713) Drafting occupations (372) Billing clerks (4715) Plasterers (6444) Cost and rate clerks (4716) Plumber, pipefitter, and steamfitter apprentices (part 645) Broadcast equipment operators (393) Horticultural specialty farmers (5515) Roofers (6468) Tool programmers, numerical control (3974) Sheetmetal duct installers (6472) Earth, environmental, and marine science teachers (2212) Legal assistants (396) Supervisors, farm workers (5611) Drillers, earth (6474) Supervisors, rel. agricultural occupations (5621) Grader and sorter, agricultural products (5625) Weighers, measurers, checkers, and samplers (4756, 4757) Engineering teachers (2226) Insurance sales occupations (4122) Material recording, scheduling, and distributing clerks, n.e.c. (4759) Investigators and adjusters, except insurance (4783) Eligibility clerks, social welfare (4784) Sales engineers (421) construction inspectors (1472) Bank tellers (4791) Administrative support occupations, n.e.c. (4787, 4799) metallurgical and materials engineers (1623) mining engineers (1624) civil engineers (1628) marine and naval architects (1637) Mathematical scientists, n.e.c. (1739) Lawyers and Judges Atmospheric and space scientists (1846) Medical scientists (1855) Optometrists (281) Health diagnosing practitioners, n.e.c. (289) chief executives and general administrators, public administration (112) Set-up operators, lathe and turning machine (7312) Rail vehicle operators, n.e.c. (8239) Ship captains and mates, except fishing boats (part 8241, 8242) Heat treating equipment operators (7344, 7544) Crane and tower operators (8315) Printing press operators (7443, 7643) Photoengravers and lithographers (6842, 7444, 7644) Textile cutting machine operators (7654) Supervisors, mechanics and repairers (60) Helpers, extractive occupations (865) Laundering and dry cleaning machine operators (6855, 7658) Bus, truck, and stationary engine mechanics (6112) Garbage collectors (8722) Extruding and forming machine operators (7463, 7663) Aircraft mechanics, except engine (6116) Compressing and compacting machine operators (7467, 7667) Furnace, kiln, and oven operators, except food (7675) Housekeepers and butlers (505) Child care workers, private hhld (506) Patternmkrs and model makers, wood (6831) Supervisors, guards (5113) Welders and cutters (7332, 7532, 7714) Sheriffs, bailiffs, and other law enforcement officers(5134) Tailors (part 6852) Supervisors, brickmasons, stonemasons, and tile setters (6312) Stenographers (4623) Optical goods workers (6864, part 7477, part 7677) Interviewers (4642) Hotel clerks (4643) Not in Universe Msc precision workers, n.e.c. (6869) Dental hygienists (363) Maids and housemen (5242, 5249) Electrical and electronic technicians (3711) Industrial engineering technicians (3712) Bookkeepers, accounting, and auditing clerks (4712) Attendants, amusement and recreation facilities (5254) Ushers (5256) Early childhood teacher's assistants (part 5264) Therapists, n.e.c. (3039) Physicians' assistants (304) Structural metal workers (6473) Chemistry teachers (2214) Production coordinators (4752) Nursery workers (5619) Supervisors and Proprietors, Sales Occupations (40) Sociology teachers (2224) Computer science teachers (2228) accountants and auditors (1412) purchasing agents and buyers, farm products (1443) Health specialties teachers (2232) Securities and financial services sales occupations (4124) Advertising and rel. sales occupations (4153) business and promotion agents (145) Theology teachers (2245) Teachers, prekindergarten and kindergarten (231) Street and door-to-door sales workers (4366) Teachers, secondary school (233) Counselors, Educational and Vocational (24) Economists (1912) Religious workers, n.e.c. (2049) Chemists, except biochemists (1845) Podiatrists (283) Artists, performers, and rel. workers, n.e.c. (328,329) Editors and reporters (331) Announcers (333) Athletes (34) Truck drivers (8212-8214) Parking lot attendants (874) Locomotive operating occupations (8232) Sailors and deckhands (8243) Forging machine operators (7319, 7519) Numerical control machine operators (7326) Misc metal and plastic processing machine operators (7349, 7549) Helpers, surveyor (8646) Automobile mechanics (part 6111) Freight, stock, and material handlers, n.e.c. (8726) Electronic repairers, communications and industrial equipment (6151, 6153, 6155) Folding machine operators (7474, 7674) Photographic process machine operators (6863, 6868, 7671) Supervisors, firefighting and fire prevention occupations(5111) Misc precision metal workers (6829) Supervisors, police and detectives (5112) Fire inspection and fire prevention occupations (5122) Solderers and brazers (7333, 7533, 7717) Specified mechanics and repairers, n.e.c. (6177, 6179) Chief communications operators (4523) Computer operators (4612) Production inspectors, checkers, and examiners (782, 787) Bartenders (5212) Supervisors, painters, paperhangers, and plasterers (6315) Typists (4624) Classified-ad clerks (4662) Carpenters (part 6422) Janitors and cleaners (5244) Electricians (part 6432) Miscellaneous plant and system operators (692, 694, 695, 696) Engineering technicians, n.e.c. (3719) Hairdressers and cosmetologists (5253) Payroll and timekeeping clerks (4713) Chemical technicians (3831) Family child care providers (part 5264) Communications equipment operators, n.e.c. (4733, 4739) Mail carriers, postal service (4743) Mail clerks, except postal service (4744) Messengers (4745) Natural science teachers, n.e.c. (2216) managers, marketing, advertising, and public relations (125) managers, medicine and health (131) Traffic, shipping, and receiving clerks (4753) Stock and inventory clerks (4754) other financial officers (1415, 1419) buyers, wholesale and retail trade except farm products (1442) Timber cutting and logging occupations (573, 579) Business, commerce, and marketing teachers (2233) Fishers (583) Bill and account collectors (4786) Hunters and trappers (584) inspectors and compliance officers, except construction (1473) Sales workers, apparel (4346) Trade and industrial teachers (2246) Engineers, electrical and electronic (1633, 1636) Urban planners (192) Recreation workers (2033) Clergy (2042) Geologists and geodesists (1847) Authors (321) Musicians and composers (323) Pharmacists (301) Railroad brake, signal, and switch operators (8233) Operating engineers (8312) Miscellaneous woodworking machine operators (7434, 7439, 7634, 7639) Explosives workers (653) Misc material moving equipment operators (8319) Supervisors, handlers, equipment cleaners, and laborers, n.e.c. (85) Textile sewing machine operators (7655) Production helpers (861, 862) Tool and die makers (part 6811) Precision assemblers, metal (6812) Farm equipment mechanics (6118) Data processing equipment repairers (6154) Hhld appliance and power tool repairers (6156) Slicing and cutting machine operators (7478, 7678) Sheet metal wrkr apprentices (part 6824) Cabinet makers and bench carpenters (6832) Correctional institution officers (5133) Supervisors, financial records processing (4521) Shoe repairers (6854) Not specified mechanics and repairers Misc precision apparel and fabric workers (6856, 6859, part 7752) Production testers (783) Cooks (5214, 5215) Supervisors, plumbers, pipefitters, and steamfitters (6316) Receptionists (4645) Waiters'/waitresses' assistants (5218) Clinical laboratory technologists and technicians (362) Bakers (6872) Supervisors, cleaning and building service workers (5241) Surveying and mapping technicians (373) Guides (5255) Paperhangers (6443) Baggage porters and bellhops (5262) Glaziers (6464) Managers, farms, except horticultural (5522-5524) Construction trades, n.e.c. (6467, 6475, 6476, 6479) Farm workers (5612-5617) management analysts (142) Captains and other officers, fishing vessels (part 8241) Physical education teachers (2236) Education teachers (2237) purch. agents and buyers, n.e.c. (1449) Sales workers, motor vehicles and boats (4342, 4344) Sales workers, shoes (4351) Statistical clerks (4794) Law teachers (2243) Sales workers, furniture and home furnishings (4348) News vendors (4365) Engineers, mechanical (1635) Social scientists, n.e.c. (1913, 1914, 1919) surveyors and mapping scientists (164) computer systems analysts and scientists (171) Actuaries (1732) Statisticians (1733) Designers (322) Actors and directors (324) Photographers (326) Physicians (261) administrators and officials, public administration (1132-1139) financial managers (122) Taxicab drivers and chauffeurs (8216) Bridge, lock, and lighthouse tenders (8245) Miscellaneous metal, plastic, stone, and glass working machine operators (7329, 7529) Hoist and winch operators (8314) Mining machine operators (654) Cementing and gluing machine operators (7661) Painting and paint spraying machine operators (7669) Patternmakers and model makers, metal (6817) Crushing and grinding machine operators (part 7477, part 7677) Miscellaneous electrical and electronic equipment repairers (6152, 6159) Mechanical controls and valve repairers (6175) Hand molding, casting, and forming occupations (7754, 7755) Miscellaneous hand working occupations (7758, 7759) Supervisors, carpenters and rel. workers (6313) Supervisors, construction, n.e.c. (6311, 6318) Food counter, fountain and rel. occupations (5216) Information clerks, n.e.c. (4649) Health technologists and technicians, n.e.c. (369) Library clerks (4694) Supervisors, personal service occupations (5251) Public transportation attendants (5257) Plumbers, pipefitters, and steamfitters (part 645) Physical therapists (3033) Speech therapists (3034) Concrete and terrazzo finishers (6463) Airplane pilots and navigators (825) Office mach. operators, n.e.c. (4729) Child care wrkrs, n.e.c. (part 5264) Paving, surfacing, and tamping equipment operators (6466) Physics teachers (2215) Economics teachers (2218) funeral directors (part 1359) Marine life cultivation workers (5618) Political science teachers (2223) Animal caretakers, except farm (5624) Supervisors, forestry and logging workers (571) Real estate sales occupations (4123) Agriculture and forestry teachers (2234) management rel. occupations, n.e.c. (149) Social work teachers (2244) petroleum engineers (1625) chemical engineers (1626) Sales counter clerks (4363) agricultural engineers (1632) engineers, n.e.c. (1639) Auctioneers (447) operations and systems researchers and analysts (172) Physical scientists, n.e.c. (1849) Biological and life scientists (1854) Dietitians (302) Persons whose current labor force status is unemployed and last job was Armed Forces Bus drivers (8215) Rolling machine operators (7316, 7516) Marine engineers (8244) Wood lathe, routing, and planing machine operators (7431, 7432, 7631, 7632) Drillers, oil well (652) Miscellaneous printing machine operators (6849, 7449, 7649 Packaging and filling machine operators (7462, 7662) Machinery maintenance occupations (614) Washing, cleaning, and pickling machine operators (7673) Cooks, private household (504) Hand packers and packagers (8761) Laborers, except construction (8769) Telephone line installers and repairers (6157) Private hhld cleaners and servants (502, 507, 509) Telephone installers and repairers (6158) Furniture and wood finishers (6835) Machine operators, not specified Office machine repairers (6174) Assemblers (772, 774) Crossing guards (5142) Protective service occupations, n.e.c. (5149) Hand engraving and printing occupations (7757) Supervisors, food preparation and service occupations(5211) Hand molders and shapers, except jewelers (6861) Production samplers and weighers (784) Graders and sorters, except agricultural (785) Bookbinders (6844) Miscellaneous food preparation occupations (5219) Adjusters and calibrators (6882) Elevator operators (5245) Stationary engineers (part 693, 7668) Painters, construction and maintenance (6442) Duplicating machine operators (4722) Mail preparing and paper handling machine operators (4723) Telephone operators (4732) Computer programmers (3971, 3972) Dispatchers (4751) managers, food serving and lodging establishments (1351) managers, properties and real estate (1353) Math. science teachers (2227) Medical science teachers (2231) Insurance adjusters, examiners, and investigators (4782) Proofreaders (4792) English teachers (2238) Data-entry keyers (4793) Sales workers, radio, Tv, hi-fi, and appliances (4343, 4352) nuclear engineers (1627) Cashiers (4364) Teachers, elementary school (232) Teachers, n.e.c. (236, 239) Engineers, industrial (1634) Psychologists (1915) Agricultural and food scientists (1853) Dentists (262) Public relations specialists (332) administrators, protective services (1131) Motor transportation occupations, n.e.c. (8219) Milling and planing machine operators (7313, 7513) Grinding, abrading, buffing, and polishing machine operators (7322, 7324, 7522) Shaping and joining machine operators (7435, 7635) Nailing and tacking machine operators (7636) Supervisors, extractive occupations (632) Mining occupations, n.e.c. (656) Helpers, construction trades (8641-8645, 8648) Mixing and blending machine operators (7664) Separating, filtering, and clarifying machine operators (7476, 7666, 7676) Heavy equipment mechanics (6117) Industrial machinery repairers (613) Roasting and baking machine operators, food (7472, 7672) Boilermakers (6814) Launderers and ironers (503) Engravers, metal (6823) Sheet metal workers (part 6824) Miscellaneous machine operators, n.e.c. (part 7479, 7665, 7679) Firefighting occupations (5123) Elevator installers and repairers (6176) Millwrights (6178) Supervisors, general office (4511, 4513, 4514, 4516, 4519, 4529) Dressmakers (part 6852, part 7752) Supervisors, distribution, scheduling, and adjusting clerks (4522, 4524-4528) Dental laboratory and medical appliance technicians (6865) Brickmasons and stonemasons (part 6412, part 6413) Tile setters, hard and soft (part 6414, part 6462) Butchers and meat cutters (6871) Dental assistants (5232) Carpet installers (part 6462) Correspondence clerks (4663) Nursing aides, orderlies, and attendants (5236) Radiologic technicians (365) File clerks (4696) Electrical power installers and repairers (6433) Records clerks (4699) Biological technicians (382) Welfare service aides (5263) Science technicians, n.e.c. (3832, 3833, 384, 389) Insulation workers (6465) Farmers, except horticultural (5512-5514) Biological science teachers (2213) Technicians, n.e.c. (399) admin, education and rel. fields (128) History teachers (2222) Meter readers (4755) Social science teachers, n.e.c. (2225) managers and administrators, n.e.c. (121, 126, 132-1343, 136-139) underwriters (1414) Expediters (4758) Sales occupations, other business services (4152) Art, drama, and music teachers (2235) Foreign language teachers (2242) Teachers' aides (4795) Sales workers, hardware and building supplies (4353) Sales workers, parts (4367) Home economics teachers (2247) aerospace engineers(1622) Teachers, postsecondary, n.e.c. (2249) Teachers, special education (235) Demonstrators, promoters and models, sales (445) Sales support occupations, n.e.c. (444, 446, 449) Archivists and curators (252) Sociologists (1916) Physicists and astronomers (1842, 1843) Social workers (2032) Forestry and conservation scientists (1852) Technical writers (398) Dancers (327) Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed None or not in universe Amount in dollars Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Dollar amount Not in universe or none Dollars and cents (two implied decimals) Not in universe or none Dollars and cents (two implied decimals) Received Data suppressed Did not receive Not in Universe Number of families in household Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Not in Universe Did not receive Data suppressed Received Statistical imputation (hot deck) Cold deck imputation Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Not imputed Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Did not receive Data suppressed Not in Universe Received Data suppressed Not in Universe Did not receive Received Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Not imputed Not in Universe Yes No No Not in Universe Yes Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation No Not in Universe Yes No Not in Universe Yes Not in Universe Number of children No Not in Universe Yes None or not in universe Dollars No Not in Universe Yes Yes Not in Universe No Not in Universe Weight of rel. subfamily reference person No Yes Not in Universe No Not in Universe Yes None or not in universe Amount in dollars Cold deck imputation Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Not imputed No Not in Universe Yes Not in Universe Did not receive Received Data suppressed Family ID number No Yes Not in Universe Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Data suppressed Not in Universe Did not receive Received No, not covered Not in Universe Yes, covered Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Not in Universe Received Data suppressed Did not receive None or not in univerese Dollars Received Did not receive Not in Universe Data suppressed Not in Universe Contingent business Number of businesses Statistical imputation (hot deck) Cold deck imputation Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Not in Universe Received Did not receive Data suppressed Received Did not receive Data suppressed Not in Universe Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Not imputed Statistical imputation(hot deck) Cold deck imputation Logical imputation(derivation) Statistical or logical imputation using previous wave data Not in Universe Yes No Yes No Not in Universe Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Not in Universe Yes No None or not in universe Dollars Not in Universe No Yes No Yes Not in Universe Family hh - Married couple Group Quarters Nonfamily hh - Male hhlder nonfamily hhld Nonfamily hh - Female hhlder nonfamily hhlder Family hh - Male householder Family hh - Female householder Not In Universe Person number No Yes Not in Universe Not In Universe Person number Statistical imputation(hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Logical imputation(derivation) Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) None or not in universe Amount in dollars Some weeks 35+ and some weeks less than 35, all weeks equal to or greater than 1 Did not work Some weeks 35+, some 1-34 hours, some 0 hours All weeks 35+ All weeks 1-34 hours Not in Universe At least 1, but not all, weeks 35+ hours, all other weeks 0 hours At least 1 week, but not all weeks, 1 to 34 hours; all other weeks 0 hours No Yes Not in Universe Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Not imputed Not imputed Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation None or not in universe Dollar amount Doctorate degree (For example: PhD, EdD) Not in Universe Diploma or certificate from a voc, tech, trade or bus school beyond high school Professional School Degree (For example: MD,DDS,DVM,LLB,JD) 10th Grade 11th Grade Some College But No Degree Associate degree in college - Occupational/vocational program Master's degree (For example: MA, MS, MEng, MSW, MBA) 9th Grade 12th grade 5th Or 6th Grade Bachelors degree (For example: BA, AB, BS) 7th Or 8th Grade High school graduate - high school diploma or equivalent (for ex: GED) Less Than 1st Grade 1st, 2nd, 3rd or 4th grade Associate Degree in college - Academic program Dollar amount Not imputed Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Not imputed Unrelated Subfamily Secondary individual Primary family (including those w/ rel. subfamilies) Primary Individual No Yes Not in Universe Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Yes No Not in Universe financial managers (122) Motor transportation occupations, n.e.c. (8219) Locomotive operating occupations (8232) Ship captains and mates, except fishing boats (part 8241, 8242) Fabricating machine operators, n.e.c. (7339, 7539) Sawing machine operators (7433, 7633) Industrial truck and tractor equipment operators (8318) Shoe machine operators (7656) Automobile mechanics (part 6111) Construction laborers (871) Production helpers (861, 862) Stevedores (8723) Automobile body and rel. repairers (6115) Mixing and blending machine operators (7664) Precision assemblers, metal (6812) Farm equipment mechanics (6118) Painting and paint spraying machine operators (7669) Machinery maintenance occupations (614) Freight, stock, and material handlers, n.e.c. (8726) Patternmakers and model makers, metal (6817) Data processing equipment repairers (6154) Hand packers and packagers (8761) Hhld appliance and power tool repairers (6156) Sheet metal wrkr apprentices (part 6824) Misc precision metal workers (6829) Machine operators, not specified Misc precision woodworkers (6839) Specified mechanics and repairers, n.e.c. (6177, 6179) Bartenders (5212) Typists (4624) Clinical laboratory technologists and technicians (362) Carpet installers (part 6462) Personnel clerks, except payroll and timekeeping (4692) Maids and housemen (5242, 5249) Cost and rate clerks (4716) Horticultural specialty farmers (5515) Sheetmetal duct installers (6472) Supervisors, farm workers (5611) Physics teachers (2215) Psychology teachers (2217) Economics teachers (2218) funeral directors (part 1359) Weighers, measurers, checkers, and samplers (4756, 4757) Math. science teachers (2227) managers, service organizations, n.e.c. (127, 1352, 1354, part 1359) other financial officers (1415, 1419) management analysts (142) personnel, training, and labor relations specialists (143) Health specialties teachers (2232) General office clerks (463) Sales representatives, mining, manufacturing, and wholesale (423, 424) Education teachers (2237) inspectors and compliance officers, except construction (1473) Sales workers, shoes (4351) Trade and industrial teachers (2246) Sales workers, other commodities (4345, 4347, 4354, 4356, 4359, 4362, 4369) Teachers, prekindergarten and kindergarten (231) Demonstrators, promoters and models, sales (445) Psychologists (1915) Social scientists, n.e.c. (1913, 1914, 1919) Medical scientists (1855) Artists, performers, and rel. workers, n.e.c. (328,329) Occupational therapists (3032) chief executives and general administrators, public administration (112) Sailors and deckhands (8243) Marine engineers (8244) Miscellaneous metal, plastic, stone, and glass working machine operators (7329, 7529) Heat treating equipment operators (7344, 7544) Knitting, looping, taping, and weaving machine operators (7452, 7652) Pressing machine operators (7657) Heavy equipment mechanics (6117) Precision grinders, filers, and tool sharpeners (6816) Folding machine operators (7474, 7674) Heating, air conditioning, and refrigeration mechanics (616) Patternmkrs and model makers, wood (6831) Locksmiths and safe repairers (6173) Fire inspection and fire prevention occupations (5122) Police and detectives, public service (5132) Mechanical controls and valve repairers (6175) Solderers and brazers (7333, 7533, 7717) Hand painting, coating, and decorating occupations (7756) Supervisors, food preparation and service occupations(5211) Supervisors, carpenters and rel. workers (6313) Production inspectors, checkers, and examiners (782, 787) Brickmason and stonemason apprentices (part 6412, part 6413) Information clerks, n.e.c. (4649) Miscellaneous food preparation occupations (5219) Correspondence clerks (4663) Licensed practical nurses (366) Hairdressers and cosmetologists (5253) Painters, construction and maintenance (6442) Guides (5255) Welfare service aides (5263) Chemical technicians (3831) Duplicating machine operators (4722) Plumber, pipefitter, and steamfitter apprentices (part 645) Speech therapists (3034) Therapists, n.e.c. (3039) Earth, environmental, and marine science teachers (2212) Mail carriers, postal service (4743) Construction trades, n.e.c. (6467, 6475, 6476, 6479) Natural science teachers, n.e.c. (2216) managers, food serving and lodging establishments (1351) Stock and inventory clerks (4754) Groundskeepers and gardeners, except farm (5622) Political science teachers (2223) Animal caretakers, except farm (5624) Inspectors, agricultural products (5627) buyers, wholesale and retail trade except farm products (1442) Supervisors, forestry and logging workers (571) Material recording, scheduling, and distributing clerks, n.e.c. (4759) Insurance adjusters, examiners, and investigators (4782) Business, commerce, and marketing teachers (2233) Physical education teachers (2236) surveyors and mapping scientists (164) computer systems analysts and scientists (171) Social workers (2032) Musicians and composers (323) Painters, sculptors, craft-artists, and artist printmakers (325) Announcers (333) Railroad conductors and yardmasters (8113) Forging machine operators (7319, 7519) Bridge, lock, and lighthouse tenders (8245) Metal plating machine operators (7343, 7543) Printing press operators (7443, 7643) Explosives workers (653) Miscellaneous printing machine operators (6849, 7449, 7649 Mining occupations, n.e.c. (656) Helpers, mechanics, and repairers (863) Aircraft engine mechanics (6113) Machine feeders and offbearers (8725) Compressing and compacting machine operators (7467, 7667) Garage and service station rel. occupations (873) Vehicle washers and equipment cleaners (875) Miscellaneous electrical and electronic equipment repairers (6152, 6159) Furniture and wood finishers (6835) Dressmakers (part 6852, part 7752) Hand molding, casting, and forming occupations (7754, 7755) Crossing guards (5142) Shoe repairers (6854) Supervisors, brickmasons, stonemasons, and tile setters (6312) Production testers (783) Supervisors, painters, paperhangers, and plasterers (6315) Food counter, fountain and rel. occupations (5216) Radiologic technicians (365) Order clerks (4664) Electricians (part 6432) Electrician apprentices (part 6432) Records clerks (4699) Surveying and mapping technicians (373) Public transportation attendants (5257) Biological technicians (382) Airplane pilots and navigators (825) Glaziers (6464) Physicians' assistants (304) Broadcast equipment operators (393) Tool programmers, numerical control (3974) Managers, farms, except horticultural (5522-5524) Structural metal workers (6473) Nursery workers (5619) Traffic, shipping, and receiving clerks (4753) Timber cutting and logging occupations (573, 579) Bill and account collectors (4786) purch. agents and buyers, n.e.c. (1449) construction inspectors (1472) management rel. occupations, n.e.c. (149) Bank tellers (4791) Proofreaders (4792) Sales workers, apparel (4346) Law teachers (2243) Social work teachers (2244) Administrative support occupations, n.e.c. (4787, 4799) Home economics teachers (2247) architects (161) chemical engineers (1626) nuclear engineers (1627) Teachers, elementary school (232) Engineers, industrial (1634) marine and naval architects (1637) engineers, n.e.c. (1639) Statisticians (1733) Physicists and astronomers (1842, 1843) Urban planners (192) Forestry and conservation scientists (1852) Authors (321) Health diagnosing practitioners, n.e.c. (289) Registered nurses (29) Respiratory therapists (3031) Bus drivers (8215) Operators, lathe and turning machine (7512) Molding and casting machine operators (7315, 7342, 7515, 7524) Supervisors, material moving equipment operators (812) Nailing and tacking machine operators (7636) Grader, dozer, and scraper operators (8317) Photoengravers and lithographers (6842, 7444, 7644) Winding and twisting machine operators (7451, 7651) Textile sewing machine operators (7655) Supervisors, mechanics and repairers (60) Cementing and gluing machine operators (7661) Garbage collectors (8722) Stock handlers and baggers (8724) Aircraft mechanics, except engine (6116) Separating, filtering, and clarifying machine operators (7476, 7666, 7676) Industrial machinery repairers (613) Child care workers, private hhld (506) Miscellaneous machine operators, n.e.c. (part 7479, 7665, 7679) Sheriffs, bailiffs, and other law enforcement officers(5134) Peripheral equipment operators (4613) Stenographers (4623) Dental laboratory and medical appliance technicians (6865) Hotel clerks (4643) Transportation ticket and reservation agents (4644) Library clerks (4694) Mechanical engineering technicians (3713) Attendants, amusement and recreation facilities (5254) Plasterers (6444) Science technicians, n.e.c. (3832, 3833, 384, 389) Legal assistants (396) Biological science teachers (2213) Chemistry teachers (2214) Medical science teachers (2231) Securities and financial services sales occupations (4124) Advertising and rel. sales occupations (4153) Art, drama, and music teachers (2235) business and promotion agents (145) Statistical clerks (4794) Teachers' aides (4795) Sales workers, hardware and building supplies (4353) metallurgical and materials engineers (1623) Teachers, postsecondary, n.e.c. (2249) Sales counter clerks (4363) News vendors (4365) civil engineers (1628) agricultural engineers (1632) Sales support occupations, n.e.c. (444, 446, 449) operations and systems researchers and analysts (172) Actuaries (1732) Chemists, except biochemists (1845) Physical scientists, n.e.c. (1849) Technical writers (398) Taxicab drivers and chauffeurs (8216) Railroad brake, signal, and switch operators (8233) Rolling machine operators (7316, 7516) Operating engineers (8312) Wood lathe, routing, and planing machine operators (7431, 7432, 7631, 7632) Helpers, extractive occupations (865) Bus, truck, and stationary engine mechanics (6112) Tool and die makers (part 6811) Machinist apprentices (part 6813) Boilermakers (6814) Washing, cleaning, and pickling machine operators (7673) Launderers and ironers (503) Furnace, kiln, and oven operators, except food (7675) Cooks, private household (504) Housekeepers and butlers (505) Sheet metal workers (part 6824) Firefighting occupations (5123) Office machine repairers (6174) Elevator installers and repairers (6176) Assemblers (772, 774) Hand cutting and trimming occupations (7753) Supervisors, computer equipment operators (4512) Supervisors, financial records processing (4521) Guards and police, except public service (5144) Computer operators (4612) Waiters and waitresses (5213) Cooks (5214, 5215) Supervisors, plumbers, pipefitters, and steamfitters (6316) Interviewers (4642) Bookbinders (6844) Tile setters, hard and soft (part 6414, part 6462) Bakers (6872) Classified-ad clerks (4662) Health aides, except nursing (5233) Carpenters (part 6422) Water and sewage treatment plant operators (691) Electrical and electronic technicians (3711) File clerks (4696) Miscellaneous plant and system operators (692, 694, 695, 696) Payroll and timekeeping clerks (4713) Mail preparing and paper handling machine operators (4723) Early childhood teacher's assistants (part 5264) Roofers (6468) Technicians, n.e.c. (399) Mail clerks, except postal service (4744) Drillers, earth (6474) Messengers (4745) Dispatchers (4751) Production coordinators (4752) Engineering teachers (2226) Computer science teachers (2228) accountants and auditors (1412) Expediters (4758) Forestry workers, except logging (572) Real estate sales occupations (4123) Eligibility clerks, social welfare (4784) Agriculture and forestry teachers (2234) Sales occupations, other business services (4152) Sales workers, furniture and home furnishings (4348) Theology teachers (2245) Cashiers (4364) Teachers, secondary school (233) Archivists and curators (252) Sociologists (1916) Recreation workers (2033) Agricultural and food scientists (1853) Designers (322) Podiatrists (283) Editors and reporters (331) Public relations specialists (332) Dietitians (302) Persons whose current labor force status is unemployed and last job was Armed Forces administrators and officials, public administration (1132-1139) administrators, protective services (1131) purchasing managers (124) Supervisors, motor vehicle operators (8111) Driver-sales workers (8218) Set-up operators, lathe and turning machine (7312) Punching and stamping press machine operators (7314, 7317, 7514, 7517) Grinding, abrading, buffing, and polishing machine operators (7322, 7324, 7522) Longshore equipment operators (8313) Excavating and loading machine operators (8316) Typesetters and compositors (6841, 7642) Helpers, construction trades (8641-8645, 8648) Supervisors, production occupations (67, 71) Miscellaneous textile machine operators (7459, 7659) Packaging and filling machine operators (7462, 7662) Machinists (part 6813) Electronic repairers, communications and industrial equipment (6151, 6153, 6155) Lay-out workers (6821) Precious stones and metals workers (Jewelers) (6822, 6866) Crushing and grinding machine operators (part 7477, part 7677) Laborers, except construction (8769) Telephone line installers and repairers (6157) Slicing and cutting machine operators (7478, 7678) Private hhld cleaners and servants (502, 507, 509) Supervisors, firefighting and fire prevention occupations(5111) Supervisors, police and detectives (5112) Millwrights (6178) Upholsterers (6853) Chief communications operators (4523) Supervisors, distribution, scheduling, and adjusting clerks (4522, 4524-4528) Supervisors, electricians and power transmission installers (6314) Optical goods workers (6864, part 7477, part 7677) Graders and sorters, except agricultural (785) Kitchen workers, food preparation (5217) Receptionists (4645) Msc precision workers, n.e.c. (6869) Dental assistants (5232) Health record technologists and technicians (364) Carpenter apprentices (part 6422) Drywall installers (6424) Pest control occupations (5246) Industrial engineering technicians (3712) Supervisors, personal service occupations (5251) Bookkeepers, accounting, and auditing clerks (4712) Plumbers, pipefitters, and steamfitters (part 645) Physical therapists (3033) Telephone operators (4732) Personal service occupations, n.e.c. (5258, 5269) Insulation workers (6465) admin, education and rel. fields (128) Supervisors, rel. agricultural occupations (5621) Meter readers (4755) Sociology teachers (2224) Social science teachers, n.e.c. (2225) Insurance sales occupations (4122) Investigators and adjusters, except insurance (4783) Data-entry keyers (4793) Sales workers, radio, Tv, hi-fi, and appliances (4343, 4352) Sales workers, parts (4367) aerospace engineers(1622) mining engineers (1624) Street and door-to-door sales workers (4366) Mathematical scientists, n.e.c. (1739) Atmospheric and space scientists (1846) Optometrists (281) Dancers (327) Truck drivers (8212-8214) Parking lot attendants (874) Rail vehicle operators, n.e.c. (8239) Drilling and boring machine operators (7318, 7518) Shaping and joining machine operators (7435, 7635) Drillers, oil well (652) Mining machine operators (654) Textile cutting machine operators (7654) Supervisors, handlers, equipment cleaners, and laborers, n.e.c. (85) Auto mechanic apprentices (part 6111) Laundering and dry cleaning machine operators (6855, 7658) Extruding and forming machine operators (7463, 7663) Tool and die mkr apprentices (part 6811) Roasting and baking machine operators, food (7472, 7672) Engravers, metal (6823) Motion picture projectionists (part 7479) Photographic process machine operators (6863, 6868, 7671) Camera, watch, and musical instrument repairers (6171, 6172) Cabinet makers and bench carpenters (6832) Welders and cutters (7332, 7532, 7714) Tailors (part 6852) Protective service occupations, n.e.c. (5149) Not specified mechanics and repairers Hand engraving and printing occupations (7757) Misc precision apparel and fabric workers (6856, 6859, part 7752) Secretaries (4622) Patternmakers, lay-out workers, and cutters (6862) Production samplers and weighers (784) Dental hygienists (363) Food batchmakers (6873, 6879) Nursing aides, orderlies, and attendants (5236) Adjusters and calibrators (6882) Power plant operators (part 693) Elevator operators (5245) Electrical power installers and repairers (6433) Barbers (5252) Engineering technicians, n.e.c. (3719) Baggage porters and bellhops (5262) Concrete and terrazzo finishers (6463) Office mach. operators, n.e.c. (4729) Computer programmers (3971, 3972) Paving, surfacing, and tamping equipment operators (6466) Farm workers (5612-5617) managers, medicine and health (131) managers, properties and real estate (1353) managers and administrators, n.e.c. (121, 126, 132-1343, 136-139) underwriters (1414) purchasing agents and buyers, farm products (1443) Hunters and trappers (584) Sales engineers (421) Sales workers, motor vehicles and boats (4342, 4344) English teachers (2238) Foreign language teachers (2242) Postsecondary teachers, subject not specified Teachers, special education (235) Teachers, n.e.c. (236, 239) Engineers, electrical and electronic (1633, 1636) Engineers, mechanical (1635) Auctioneers (447) Economists (1912) Clergy (2042) Religious workers, n.e.c. (2049) Geologists and geodesists (1847) Biological and life scientists (1854) Actors and directors (324) Veterinarians (27) Athletes (34) Pharmacists (301) personnel and labor relations managers (123) Milling and planing machine operators (7313, 7513) Numerical control machine operators (7326) Misc metal and plastic processing machine operators (7349, 7549) Hoist and winch operators (8314) Crane and tower operators (8315) Miscellaneous woodworking machine operators (7434, 7439, 7634, 7639) Supervisors, extractive occupations (632) Misc material moving equipment operators (8319) Helpers, surveyor (8646) Small engine repairers (6114) Telephone installers and repairers (6158) Supervisors, guards (5113) Supervisors, general office (4511, 4513, 4514, 4516, 4519, 4529) Correctional institution officers (5133) Miscellaneous hand working occupations (7758, 7759) Hand molders and shapers, except jewelers (6861) Supervisors, construction, n.e.c. (6311, 6318) Not in Universe Electrical/electronic equipment assemblers (6867) Brickmasons and stonemasons (part 6412, part 6413) Waiters'/waitresses' assistants (5218) Butchers and meat cutters (6871) Inspectors, testers, and graders (6881, 828) Supervisors, cleaning and building service workers (5241) Health technologists and technicians, n.e.c. (369) Janitors and cleaners (5244) Stationary engineers (part 693, 7668) Drafting occupations (372) Billing clerks (4715) Ushers (5256) Paperhangers (6443) Billing, posting, and calculating machine operators (4718) Family child care providers (part 5264) Child care wrkrs, n.e.c. (part 5264) Air traffic controllers (392) Farmers, except horticultural (5512-5514) Communications equipment operators, n.e.c. (4733, 4739) Postal clerks, except mail carriers (4742) Managers, horticultural specialty farms (5525) managers, marketing, advertising, and public relations (125) Marine life cultivation workers (5618) Supervisors and Proprietors, Sales Occupations (40) History teachers (2222) Grader and sorter, agricultural products (5625) Captains and other officers, fishing vessels (part 8241) Fishers (583) petroleum engineers (1625) Counselors, Educational and Vocational (24) Librarians (251) Lawyers and Judges Photographers (326) Physicians (261) Dentists (262) No Not in Universe Yes Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Personnel clerks, except payroll and timekeeping (4692) Stationary engineers (part 693, 7668) Electrical and electronic technicians (3711) Supervisors, personal service occupations (5251) Electrical power installers and repairers (6433) Billing clerks (4715) Biological technicians (382) Computer programmers (3971, 3972) Roofers (6468) Managers, horticultural specialty farms (5525) Biological science teachers (2213) Construction trades, n.e.c. (6467, 6475, 6476, 6479) Marine life cultivation workers (5618) Computer science teachers (2228) Insurance sales occupations (4122) Sales workers, parts (4367) Teachers, n.e.c. (236, 239) Demonstrators, promoters and models, sales (445) Archivists and curators (252) Economists (1912) Atmospheric and space scientists (1846) Geologists and geodesists (1847) Forestry and conservation scientists (1852) Actors and directors (324) Physicians (261) Driver-sales workers (8218) Parking lot attendants (874) Milling and planing machine operators (7313, 7513) Drilling and boring machine operators (7318, 7518) Forging machine operators (7319, 7519) Printing press operators (7443, 7643) Photoengravers and lithographers (6842, 7444, 7644) Knitting, looping, taping, and weaving machine operators (7452, 7652) Shoe machine operators (7656) Supervisors, production occupations (67, 71) Tool and die makers (part 6811) Automobile body and rel. repairers (6115) Stock handlers and baggers (8724) Heavy equipment mechanics (6117) Industrial machinery repairers (613) Machinery maintenance occupations (614) Hhld appliance and power tool repairers (6156) Telephone line installers and repairers (6157) Sheet metal workers (part 6824) Miscellaneous electrical and electronic equipment repairers (6152, 6159) Sheriffs, bailiffs, and other law enforcement officers(5134) Miscellaneous hand working occupations (7758, 7759) Cooks (5214, 5215) Receptionists (4645) Miscellaneous food preparation occupations (5219) Health aides, except nursing (5233) Health record technologists and technicians (364) Power plant operators (part 693) Pest control occupations (5246) Bookkeepers, accounting, and auditing clerks (4712) Chemical technicians (3831) Family child care providers (part 5264) Mail preparing and paper handling machine operators (4723) Office mach. operators, n.e.c. (4729) Horticultural specialty farmers (5515) Postal clerks, except mail carriers (4742) Managers, farms, except horticultural (5522-5524) Mail carriers, postal service (4743) Natural science teachers, n.e.c. (2216) managers, food serving and lodging establishments (1351) managers, properties and real estate (1353) Nursery workers (5619) Supervisors and Proprietors, Sales Occupations (40) Animal caretakers, except farm (5624) Math. science teachers (2227) managers, service organizations, n.e.c. (127, 1352, 1354, part 1359) Investigators and adjusters, except insurance (4783) Business, commerce, and marketing teachers (2233) General office clerks (463) purch. agents and buyers, n.e.c. (1449) Bank tellers (4791) Data-entry keyers (4793) architects (161) Sales workers, other commodities (4345, 4347, 4354, 4356, 4359, 4362, 4369) surveyors and mapping scientists (164) Mathematical scientists, n.e.c. (1739) Lawyers and Judges Biological and life scientists (1854) Photographers (326) Dentists (262) Athletes (34) Registered nurses (29) Pharmacists (301) Railroad brake, signal, and switch operators (8233) Punching and stamping press machine operators (7314, 7317, 7514, 7517) Fabricating machine operators, n.e.c. (7339, 7539) Supervisors, material moving equipment operators (812) Operating engineers (8312) Explosives workers (653) Automobile mechanics (part 6111) Pressing machine operators (7657) Helpers, extractive occupations (865) Construction laborers (871) Miscellaneous textile machine operators (7459, 7659) Machine feeders and offbearers (8725) Machinists (part 6813) Garage and service station rel. occupations (873) Precision grinders, filers, and tool sharpeners (6816) Furnace, kiln, and oven operators, except food (7675) Hand packers and packagers (8761) Crushing and grinding machine operators (part 7477, part 7677) Slicing and cutting machine operators (7478, 7678) Heating, air conditioning, and refrigeration mechanics (616) Welders and cutters (7332, 7532, 7714) Guards and police, except public service (5144) Supervisors, food preparation and service occupations(5211) Typists (4624) Transportation ticket and reservation agents (4644) Supervisors, cleaning and building service workers (5241) Health technologists and technicians, n.e.c. (369) Hairdressers and cosmetologists (5253) Painters, construction and maintenance (6442) Duplicating machine operators (4722) Insulation workers (6465) Physics teachers (2215) Psychology teachers (2217) Political science teachers (2223) Grader and sorter, agricultural products (5625) personnel, training, and labor relations specialists (143) purchasing agents and buyers, farm products (1443) Hunters and trappers (584) Sales workers, shoes (4351) Law teachers (2243) Sales workers, furniture and home furnishings (4348) Social work teachers (2244) metallurgical and materials engineers (1623) petroleum engineers (1625) nuclear engineers (1627) Teachers, special education (235) Auctioneers (447) operations and systems researchers and analysts (172) Urban planners (192) Authors (321) Designers (322) Veterinarians (27) Artists, performers, and rel. workers, n.e.c. (328,329) Respiratory therapists (3031) Supervisors, motor vehicle operators (8111) Motor transportation occupations, n.e.c. (8219) Set-up operators, lathe and turning machine (7312) Wood lathe, routing, and planing machine operators (7431, 7432, 7631, 7632) Grader, dozer, and scraper operators (8317) Supervisors, handlers, equipment cleaners, and laborers, n.e.c. (85) Mixing and blending machine operators (7664) Machinist apprentices (part 6813) Boilermakers (6814) Washing, cleaning, and pickling machine operators (7673) Launderers and ironers (503) Engravers, metal (6823) Photographic process machine operators (6863, 6868, 7671) Supervisors, firefighting and fire prevention occupations(5111) Mechanical controls and valve repairers (6175) Correctional institution officers (5133) Crossing guards (5142) Supervisors, electricians and power transmission installers (6314) Kitchen workers, food preparation (5217) Msc precision workers, n.e.c. (6869) Waiters'/waitresses' assistants (5218) Information clerks, n.e.c. (4649) Carpenters (part 6422) Maids and housemen (5242, 5249) Water and sewage treatment plant operators (691) Elevator operators (5245) Industrial engineering technicians (3712) Miscellaneous plant and system operators (692, 694, 695, 696) Payroll and timekeeping clerks (4713) Guides (5255) Public transportation attendants (5257) Plasterers (6444) Billing, posting, and calculating machine operators (4718) Physical therapists (3033) Science technicians, n.e.c. (3832, 3833, 384, 389) Therapists, n.e.c. (3039) Air traffic controllers (392) Legal assistants (396) History teachers (2222) Groundskeepers and gardeners, except farm (5622) managers and administrators, n.e.c. (121, 126, 132-1343, 136-139) accountants and auditors (1412) underwriters (1414) Material recording, scheduling, and distributing clerks, n.e.c. (4759) Forestry workers, except logging (572) Sales engineers (421) Education teachers (2237) construction inspectors (1472) inspectors and compliance officers, except construction (1473) management rel. occupations, n.e.c. (149) aerospace engineers(1622) Teachers, postsecondary, n.e.c. (2249) Teachers, prekindergarten and kindergarten (231) Engineers, electrical and electronic (1633, 1636) Engineers, industrial (1634) Counselors, Educational and Vocational (24) Psychologists (1915) Medical scientists (1855) Optometrists (281) Dancers (327) Dietitians (302) Occupational therapists (3032) Persons whose current labor force status is unemployed and last job was Armed Forces Truck drivers (8212-8214) Sailors and deckhands (8243) Shaping and joining machine operators (7435, 7635) Miscellaneous printing machine operators (6849, 7449, 7649 Winding and twisting machine operators (7451, 7651) Laundering and dry cleaning machine operators (6855, 7658) Bus, truck, and stationary engine mechanics (6112) Production helpers (861, 862) Packaging and filling machine operators (7462, 7662) Garbage collectors (8722) Precision assemblers, metal (6812) Compressing and compacting machine operators (7467, 7667) Folding machine operators (7474, 7674) Patternmakers and model makers, metal (6817) Sheet metal wrkr apprentices (part 6824) Miscellaneous machine operators, n.e.c. (part 7479, 7665, 7679) Hand molding, casting, and forming occupations (7754, 7755) Protective service occupations, n.e.c. (5149) Supervisors, distribution, scheduling, and adjusting clerks (4522, 4524-4528) Supervisors, brickmasons, stonemasons, and tile setters (6312) Production inspectors, checkers, and examiners (782, 787) Bartenders (5212) Food counter, fountain and rel. occupations (5216) Brickmasons and stonemasons (part 6412, part 6413) Bakers (6872) Dental hygienists (363) Order clerks (4664) Electrician apprentices (part 6432) Drafting occupations (372) Attendants, amusement and recreation facilities (5254) Paperhangers (6443) Plumbers, pipefitters, and steamfitters (part 645) Child care wrkrs, n.e.c. (part 5264) Physicians' assistants (304) Communications equipment operators, n.e.c. (4733, 4739) Sheetmetal duct installers (6472) Technicians, n.e.c. (399) Drillers, earth (6474) Chemistry teachers (2214) managers, medicine and health (131) Stock and inventory clerks (4754) Social science teachers, n.e.c. (2225) Engineering teachers (2226) other financial officers (1415, 1419) Medical science teachers (2231) Eligibility clerks, social welfare (4784) Sales workers, motor vehicles and boats (4342, 4344) Teachers' aides (4795) Sales workers, radio, Tv, hi-fi, and appliances (4343, 4352) Sales workers, hardware and building supplies (4353) mining engineers (1624) Teachers, elementary school (232) News vendors (4365) Engineers, mechanical (1635) marine and naval architects (1637) Sales support occupations, n.e.c. (444, 446, 449) Social scientists, n.e.c. (1913, 1914, 1919) Physicists and astronomers (1842, 1843) Clergy (2042) Public relations specialists (332) chief executives and general administrators, public administration (112) financial managers (122) Locomotive operating occupations (8232) Operators, lathe and turning machine (7512) Marine engineers (8244) Industrial truck and tractor equipment operators (8318) Mining machine operators (654) Textile cutting machine operators (7654) Stevedores (8723) Farm equipment mechanics (6118) Painting and paint spraying machine operators (7669) Freight, stock, and material handlers, n.e.c. (8726) Telephone installers and repairers (6158) Motion picture projectionists (part 7479) Supervisors, police and detectives (5112) Supervisors, guards (5113) Firefighting occupations (5123) Office machine repairers (6174) Assemblers (772, 774) Supervisors, financial records processing (4521) Upholsterers (6853) Shoe repairers (6854) Stenographers (4623) Production samplers and weighers (784) Supervisors, plumbers, pipefitters, and steamfitters (6316) Graders and sorters, except agricultural (785) Supervisors, construction, n.e.c. (6311, 6318) Not in Universe Inspectors, testers, and graders (6881, 828) Radiologic technicians (365) Carpenter apprentices (part 6422) Library clerks (4694) Adjusters and calibrators (6882) Electricians (part 6432) Mechanical engineering technicians (3713) Ushers (5256) Baggage porters and bellhops (5262) Personal service occupations, n.e.c. (5258, 5269) Paving, surfacing, and tamping equipment operators (6466) Messengers (4745) managers, marketing, advertising, and public relations (125) funeral directors (part 1359) Supervisors, rel. agricultural occupations (5621) Sociology teachers (2224) Timber cutting and logging occupations (573, 579) Securities and financial services sales occupations (4124) Fishers (583) Sales occupations, other business services (4152) Physical education teachers (2236) Proofreaders (4792) Sales workers, apparel (4346) Foreign language teachers (2242) Theology teachers (2245) Trade and industrial teachers (2246) Street and door-to-door sales workers (4366) Teachers, secondary school (233) civil engineers (1628) Librarians (251) Actuaries (1732) Physical scientists, n.e.c. (1849) Technical writers (398) Musicians and composers (323) Painters, sculptors, craft-artists, and artist printmakers (325) Podiatrists (283) Editors and reporters (331) Announcers (333) administrators and officials, public administration (1132-1139) personnel and labor relations managers (123) purchasing managers (124) Taxicab drivers and chauffeurs (8216) Railroad conductors and yardmasters (8113) Rail vehicle operators, n.e.c. (8239) Rolling machine operators (7316, 7516) Bridge, lock, and lighthouse tenders (8245) Numerical control machine operators (7326) Miscellaneous metal, plastic, stone, and glass working machine operators (7329, 7529) Hoist and winch operators (8314) Crane and tower operators (8315) Misc material moving equipment operators (8319) Textile sewing machine operators (7655) Helpers, mechanics, and repairers (863) Helpers, surveyor (8646) Extruding and forming machine operators (7463, 7663) Tool and die mkr apprentices (part 6811) Separating, filtering, and clarifying machine operators (7476, 7666, 7676) Roasting and baking machine operators, food (7472, 7672) Vehicle washers and equipment cleaners (875) Cooks, private household (504) Lay-out workers (6821) Private hhld cleaners and servants (502, 507, 509) Furniture and wood finishers (6835) Solderers and brazers (7333, 7533, 7717) Supervisors, computer equipment operators (4512) Tailors (part 6852) Specified mechanics and repairers, n.e.c. (6177, 6179) Hand painting, coating, and decorating occupations (7756) Not specified mechanics and repairers Hand molders and shapers, except jewelers (6861) Secretaries (4622) Production testers (783) Dental laboratory and medical appliance technicians (6865) Interviewers (4642) Tile setters, hard and soft (part 6414, part 6462) Butchers and meat cutters (6871) Clinical laboratory technologists and technicians (362) Classified-ad clerks (4662) Correspondence clerks (4663) File clerks (4696) Speech therapists (3034) Concrete and terrazzo finishers (6463) Glaziers (6464) Broadcast equipment operators (393) Farmers, except horticultural (5512-5514) Tool programmers, numerical control (3974) Earth, environmental, and marine science teachers (2212) Structural metal workers (6473) Mail clerks, except postal service (4744) Farm workers (5612-5617) Traffic, shipping, and receiving clerks (4753) Weighers, measurers, checkers, and samplers (4756, 4757) Expediters (4758) Supervisors, forestry and logging workers (571) Health specialties teachers (2232) Captains and other officers, fishing vessels (part 8241) Bill and account collectors (4786) Statistical clerks (4794) chemical engineers (1626) Postsecondary teachers, subject not specified Cashiers (4364) engineers, n.e.c. (1639) computer systems analysts and scientists (171) Statisticians (1733) Social workers (2032) Recreation workers (2033) Health diagnosing practitioners, n.e.c. (289) administrators, protective services (1131) Grinding, abrading, buffing, and polishing machine operators (7322, 7324, 7522) Heat treating equipment operators (7344, 7544) Longshore equipment operators (8313) Sawing machine operators (7433, 7633) Excavating and loading machine operators (8316) Miscellaneous woodworking machine operators (7434, 7439, 7634, 7639) Supervisors, extractive occupations (632) Drillers, oil well (652) Aircraft engine mechanics (6113) Small engine repairers (6114) Cementing and gluing machine operators (7661) Aircraft mechanics, except engine (6116) Electronic repairers, communications and industrial equipment (6151, 6153, 6155) Precious stones and metals workers (Jewelers) (6822, 6866) Child care workers, private hhld (506) Misc precision metal workers (6829) Patternmkrs and model makers, wood (6831) Machine operators, not specified Misc precision woodworkers (6839) Elevator installers and repairers (6176) Millwrights (6178) Supervisors, general office (4511, 4513, 4514, 4516, 4519, 4529) Dressmakers (part 6852, part 7752) Chief communications operators (4523) Misc precision apparel and fabric workers (6856, 6859, part 7752) Supervisors, carpenters and rel. workers (6313) Waiters and waitresses (5213) Optical goods workers (6864, part 7477, part 7677) Hotel clerks (4643) Electrical/electronic equipment assemblers (6867) Food batchmakers (6873, 6879) Drywall installers (6424) Janitors and cleaners (5244) Records clerks (4699) Barbers (5252) Engineering technicians, n.e.c. (3719) Surveying and mapping technicians (373) Cost and rate clerks (4716) Welfare service aides (5263) Plumber, pipefitter, and steamfitter apprentices (part 645) Early childhood teacher's assistants (part 5264) Airplane pilots and navigators (825) Telephone operators (4732) Supervisors, farm workers (5611) Dispatchers (4751) Economics teachers (2218) admin, education and rel. fields (128) Production coordinators (4752) Meter readers (4755) Inspectors, agricultural products (5627) management analysts (142) buyers, wholesale and retail trade except farm products (1442) Real estate sales occupations (4123) Insurance adjusters, examiners, and investigators (4782) Advertising and rel. sales occupations (4153) Agriculture and forestry teachers (2234) Art, drama, and music teachers (2235) Sales representatives, mining, manufacturing, and wholesale (423, 424) business and promotion agents (145) English teachers (2238) Administrative support occupations, n.e.c. (4787, 4799) Home economics teachers (2247) Sales counter clerks (4363) agricultural engineers (1632) Sociologists (1916) Religious workers, n.e.c. (2049) Chemists, except biochemists (1845) Agricultural and food scientists (1853) Bus drivers (8215) Ship captains and mates, except fishing boats (part 8241, 8242) Molding and casting machine operators (7315, 7342, 7515, 7524) Metal plating machine operators (7343, 7543) Misc metal and plastic processing machine operators (7349, 7549) Nailing and tacking machine operators (7636) Typesetters and compositors (6841, 7642) Mining occupations, n.e.c. (656) Supervisors, mechanics and repairers (60) Helpers, construction trades (8641-8645, 8648) Auto mechanic apprentices (part 6111) Data processing equipment repairers (6154) Housekeepers and butlers (505) Laborers, except construction (8769) Camera, watch, and musical instrument repairers (6171, 6172) Locksmiths and safe repairers (6173) Cabinet makers and bench carpenters (6832) Fire inspection and fire prevention occupations (5122) Police and detectives, public service (5132) Hand cutting and trimming occupations (7753) Computer operators (4612) Peripheral equipment operators (4613) Hand engraving and printing occupations (7757) Patternmakers, lay-out workers, and cutters (6862) Supervisors, painters, paperhangers, and plasterers (6315) Bookbinders (6844) Brickmason and stonemason apprentices (part 6412, part 6413) Dental assistants (5232) Carpet installers (part 6462) Nursing aides, orderlies, and attendants (5236) Licensed practical nurses (366) Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) None or not in universe Amount in dollars Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) No payment received Not in Universe Survivor Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical or logical imputation using previous wave data Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Cold deck imputation Separated or divorced from spouse/parent Just got around to applying Just learned about program Began receiving for another dependent Loss of job/wages/other income Pregnancy/birth of child Not in Universe Loss of other support income Became disabled Other, specify Pregnancy/birth of child Just got around to applying Became disabled Separated or divorced from spouse/parent Loss of other support income Other, specify Just learned about program Not in Universe Began receiving for another dependent Loss of job/wages/other income Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Cold deck imputation Not imputed Logical imputation(derivation) Cold deck imputation Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data No children Not in Universe Number of children None or not in universe Dollars Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Logical imputation (derivation) Cold deck imputation Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not In Universe Person number Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Not In Universe Person number No payment Disability and Survivor Disability Survivor Not in Universe Logical imputation(derivation) Not imputed Cold deck imputation Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Stratum Code Yes Not in universe or not applicable None or not in universe Dollars None or not in universe Amount in dollars Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Dollar amount Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Not in Universe Number of weeks in the reference period Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation None or not in universe Dollars Not in Universe Yes No None or not in universe Dollars Cold deck imputation Logical imputation(derivation) Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Not imputed Not imputed Cold deck imputation Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data None or not in universe Amount in dollars Yes Not in Universe No Yes No Not in Universe Tennessee Utah Missouri West Virginia Illinois Indiana Oregon Massachusetts Virginia New York Oklahoma Alaska Minnesota Connecticut Montana Delaware Wisconsin Iowa Maine, Vermont Arizona Michigan Arkansas Mississippi Nebraska DC New Hampshire New Mexico Kentucky Louisiana Texas Colorado Idaho Ohio South Carolina North Dakota, South Dakota, Wyoming Kansas Alabama Maryland California Washington New Jersey Georgia Hawaii North Carolina Rhode Island Nevada Florida Pennsylvania None or not in universe Dollars Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Logical imputation(derivation) Statistical imputation(hot deck) Cold deck imputation Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Not in Universe No Yes Child (Under 15 years of age) Adult (15 years of age or older) None or not in universe Amount in dollars Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Dollar amount Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Yes No Not in Universe Not in Universe No Yes Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Cold deck imputation Logical imputation (derivation) Not in Universe Business ID Not In Universe Dollar amount Not in Universe Family ID number Statistical imputation (hot deck) Cold deck imputation Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Not in Universe Business ID No Yes Not in Universe Male Headed Female Headed Not in Universe Headed by Husband/Wife Dollar amount None or not in universe Amount in dollars Disability and retirement Disability and Survivor Not in Universe Retirement and survivor Disability, retirement, and survivor Retirement Disability Survivor No payment received Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Cold deck imputation Not in Universe Yes No Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not in Universe Yes No Yes No Not in Universe No Yes Not in Universe Not in Universe Yes No Yes No Not in Universe Yes Not in Universe No Other, specify Because of family changes Not in Universe Became Ineligible because program requirements not met Became ineligible because of increased income Eligibility ran out because of time limits Still eligible but could/chose not to collect Yes No Not in Universe Eligibility ran out because of time limits Because of family changes Still eligible but could/chose not to collect Not in Universe Other, specify Became Ineligible because program requirements not met Became ineligible because of increased income Biological or natural child Stepchild Adopted child Not in Universe Yes No Not in Universe No Not in Universe Yes Panel Year Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Not in Universe College year 2 (sophomore) Enrolled in college, but not working towards a degree Elementary grades 1-8 High school grades 9-12 College year 5 (first year graduate or professional school) Vocational, technical, or business school beyond high school level College year 1 (freshman) College year 6+ (second year or or higher in grad. or professional school) College year 3 (junior) College year 4 (senior) Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Loss of other support income Separated or divorced from spouse/parent Just learned about program Other, specify Began receiving for another dependent Not in Universe Loss of job/wages/other income Pregnancy/birth of child Just got around to applying Became disabled Person weight for family reference person Loss of other support income Separated or divorced from spouse/parent Not in Universe Just learned about program Other, specify Became disabled Pregnancy/birth of child Began receiving for another dependent Loss of job/wages/other income Just got around to applying None or not in universe Dollars Eligibility ran out because of time limits Not in Universe Became ineligible because of increased income Other, specify Still eligible but could/chose not to collect Because of family changes Became Ineligible because program requirements not met Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not in Universe Became ineligible because of increased income Because of family changes Became Ineligible because program requirements not met Still eligible but could/chose not to collect Eligibility ran out because of time limits Other, specify Not in Universe No payment Disability Not in Universe Family ID number None or not in universe Dollars Cold deck imputation Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data No Yes Not in Universe Logical imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed None or not in universe Dollar amount Yes No Not in Universe Cold deck imputation Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Not in Universe Date Not in Universe Date Dollar amount Dollar amount Yes Not in Universe No No Yes Not in Universe No Not in Universe Yes No Not in Universe Yes Yes Not in Universe No No Yes Not in Universe Not in Universe Yes No Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) No Not in Universe Yes Yes No Not in Universe No Yes Not in Universe None or not in universe Dollars Yes Not in Universe No No Yes Not in Universe Not in Universe Yes, covered No, not covered Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation(derivation) Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Logical imputation (derivation) Number of children Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Yes No Not in Universe No Not in Universe Yes No Yes Not in Universe Not in Universe No Yes Slack work or business conditions Childcare problems Other family/personal obligations Own illness Own injury School/Training Not in Universe Discharged/fired Quit to take another job Retirement or old age Employer, sold business Employer bankrupt On Layoff Job was temporary and ended Unsatisfactory work arrangements (hours,pay,etc) Quit for some other reason No Yes Not in Universe Yes No Not in Universe School/Training On Layoff Own illness Employer bankrupt Slack work or business conditions Other family/personal obligations Discharged/fired Quit to take another job Unsatisfactory work arrangements (hours,pay,etc) Quit for some other reason Job was temporary and ended Not in Universe Retirement or old age Childcare problems Own injury Employer, sold business Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Cold deck imputation Yes Not in Universe No Not in Universe No Yes, covered No Not in Universe Yes No Not in Universe Yes None or not in universe Dollar amount Five weeks Not in Universe Four weeks Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Yes, covered No, not covered Not in Universe Logical imputation (derivation) Cold deck imputation Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Yes, covered No, not covered Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) No imputation Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Yes, covered No, not covered Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Yes Not in Universe No Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Yes, covered No, not covered Yes, covered No, not covered Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Yes Not in Universe No None or not in universe Amount in dollars Logical imputation (derivation) Cold deck imputation Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) 1 week 0 weeks (that is, did not look for work or not on layoff) 2 weeks 3 weeks 5 weeks (if applicable) Not in Universe 4 weeks Logical imputation(derivation) Statistical imputation(hot deck) Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Not in Universe Yes No Yes No Not in Universe Not in Universe Yes No No Yes Not in Universe Not in Universe No Yes Yes No Not in Universe Yes No Not in Universe Yes No Not in Universe Yes Not in Universe No No Not in Universe Yes None or not in universe Amount in dollars Not in Universe Date Not in Universe Date