Version 01 Codebook ------------------- CODEBOOK VARIABLE DOCUMENTATION 1962 POST-ELECTION STUDY (1962.T) 1962 NES VARIABLE ENTRIES This file should be opened in fixed font, 10 pitch or smaller. Codebook introductory material and appendix material are in separate files. ---------------------------------------------------------------- NOTE ON VARIABLE NAMING: The variable name references used in NES Study codebooks do not include the "V" prefix found in all variable names used within the released SAS and SPSS data definition files (.sas and .sps files). For example, "VAR 920001" and "VAR VERSION" in Study codebooks refer to V920001 and VVERSION in the study data definition files. VARIABLE 'NUMBERING': 'Numbered' variables in NES timeseries datasets and in Pilot datasets (except the 1998 Pilot) comply with the following format: 2-digit year prefix + 4 digits + [opt] 1-char suffix. Examples: 1978 Post variable V780002; 1983 Pilot variable V832101. Note that for datasets including data from multiple studies, the 2-digit year prefix corresponds to the appropriate study year to which the variable is associated; for example, the 1983 Pilot dataset also includes 1982 timeseries variables, for which the 2-digit prefix is 82. Non-time-series studies other than Pilots use 2-character mnemonic prefixes, for example variable VPS0048 in the 1988-1990-1992 Pooled Senate Study dataset. SPECIAL NOTE ON COLUMN LOCATIONS: Some numeric variables use coding schemes that allow for code values having a varying number of digits. In such instances, the number of columns corresponding to the variable in the data file [.dat file] and in the column specifications will be the width of the maximum value occurring in the actual data, rather than the maximum width allowable by the coding scheme. For example, if codes 01-12 are allowed for a numeric variable but all values in the data are less than 10, then the number of columns corresponding to the variable within the ASCII data file will be 1. ============================== VAR VERSION NAME-NES VERSION NUMBER COLUMNS 1 - 2 NUMERIC NO MISSING DATA CODES NES VERSION NUMBER .................. ============================== VAR DSETNO NAME-NES DATASET NUMBER COLUMNS 3 - 8 CHARACTER NO MISSING DATA CODES NES DATASET NUMBER .................. This is dataset 1962.T ============================== VAR 620001 NAME-ICPSR ARCHIVE NUMBER COLUMNS 9 - 12 NUMERIC NO MISSING DATA CODES ICPSR ARCHIVE NUMBER 7217 ......................... ============================== VAR 620002 NAME-INTERVIEW NUMBER COLUMNS 13 - 16 NUMERIC NO MISSING DATA CODES INTERVIEW NUMBER ................ 0000 SERIES: PRIMARY FAMILY WITH NO MARRIED WOMAN UNDER 40 1000 SERIES: SECONDARY FAMILY WHOSE PRIMARY FAMILY CONTAINS NO MARRIED WOMAN UNDER 40 5000 SERIES: PRIMARY FAMILY CONTAINING A MARRIED WOMAN 39 OR UNDER 6000 SERIES: SECONDARY FAMILY WHOSE PRIMARY FAMILY CONTAINS A MARRIED WOMAN 39 OR UNDER ============================== VAR 620003 NAME-PSU AND PLACE ID COLUMNS 17 - 20 NUMERIC NO MISSING DATA CODES PRIMARY SAMPLING UNIT (PSU) AND PLACE IDENTIFICATION .................................................... SEE APPENDIX NOTE ============================== VAR 620004 NAME-DSTNC FROM CTR OF SMSA COLUMNS 21 - 21 NUMERIC MD=0 DISTANCE FROM CENTER OF SMSA ............................ 37 1. 0.0 - 0.9 MILES 78 2. 1.0 - 1.9 MILES 151 3. 2.0 - 3.9 MILES 147 4. 4.0 - 5.9 MILES 79 5. 6.0 - 7.9 MILES 61 6. 8.0 - 9.9 MILES 152 7. 10.0 - 14.9 MILES 118 8. 15.0 - 24.9 MILES 81 9. 25 MILES OR MORE 393 0. PLACE NOT IN AN SMSA ============================== VAR 620005 NAME-DATE OF INTERVIEW COLUMNS 22 - 22 NUMERIC NO MISSING DATA CODES DATE OF INTERVIEW ................. IF DATE NOT ASCERTAINED, THE DATE INTERVIEW WAS RECEIVED IN THE FIELD OFFICE MINUS TWO WAS CODED 307 1. NOVEMBER 7-13 357 2. NOVEMBER 14-20 257 3. NOVEMBER 21-27 225 4. NOVEMBER 28-DECEMBER 4 141 5. DECEMBER 5-11 10 6. DECEMBER 12-15 ============================== VAR 620006 NAME-NUMBER OF ADULTS IN FAM COLUMNS 23 - 23 NUMERIC NO MISSING DATA CODES NUMBER OF ADULTS (OVER 18, OR ANY AGE IF HEAD OF FAMILY) IN THIS FAMILY ........................................................ 222 1. ONE 874 2. TWO 155 3. THREE 36 4. FOUR 9 5. FIVE 1 6. SIX ============================== VAR 620007 NAME-ADULT NUMBER OF R COLUMNS 24 - 24 NUMERIC NO MISSING DATA CODES ADULT NUMBER OF RESPONDENT .......................... IF 2 ON FACE SHEET AND R IS NOT MARRIED, CODED 1 792 1. HEAD OF THE FAMILY 505 2. SECOND ADULT ============================== VAR 620008 NAME-R'S RELNP TO HEAD OF FAM COLUMNS 25 - 25 NUMERIC NO MISSING DATA CODES RESPONDENT'S RELATIONSHIP TO THE HEAD OF THE FAMILY ................................................... 792 1. RESPONDENT IS HEAD 505 2. RESPONDENT IS THE WIFE OF HEAD ============================== VAR 620009 NAME-AGE OF RESPONDENT COLUMNS 26 - 27 NUMERIC MD=99 AGE OF RESPONDENT ................. RESPONDENT'S ACTUAL AGE CODED 0 98. 98 AND OVER 7 99. NA ============================== VAR 620010 NAME-AGE OF R (BRACKETED) COLUMNS 28 - 28 NUMERIC MD=9 BRACKETED AGE OF RESPONDENT ........................... 76 1. 18-24 261 2. 25-34 284 3. 35-44 264 4. 45-54 197 5. 55-64 209 6. 65 AND OVER 6 9. NA ============================== VAR 620011 NAME-SEX OF HEAD OF HOUSEHOLD COLUMNS 29 - 29 NUMERIC NO MISSING DATA CODES SEX OF HEAD OF HOUSEHOLD ........................ 1088 1. MALE 209 2. FEMALE ============================== VAR 620012 NAME-AGE OF HEAD OF HOUSEHOLD COLUMNS 30 - 31 NUMERIC MD=99 AGE OF HEAD OF HOUSEHOLD ........................ HEAD'S ACTUAL AGE CODED 0 98. 98 AND OVER 7 99. NA ============================== VAR 620013 NAME-AGE OF HEAD (BRACKETED) COLUMNS 32 - 32 NUMERIC MD=9 BRACKETED AGE OF HEAD OF HOUSEHOLD .................................. 58 1. 18-24 248 2. 25-34 274 3. 35-44 278 4. 45-54 195 5. 55-64 238 6. 65 AND OVER 6 9. NA ============================== VAR 620014 NAME-R BTR FNCLY THAN LAST YR COLUMNS 33 - 33 NUMERIC MD=GE 8 Q. 1. WE ARE INTERESTED IN HOW PEOPLE ARE GETTING ALONG FINANCIALLY THESE DAYS. WOULD YOU SAY THAT YOU AND YOUR FAMILY ARE BETTER OFF OR WORSE OFF FINANCIALLY THAN YOU WERE A YEAR AGO. ............................................................ 439 1. BETTER NOW 596 3. SAME 244 5. WORSE NOW 17 8. UNCERTAIN 1 9. NA ============================== VAR 620015 NAME-MK MORE MNY THAN LAST YR COLUMNS 34 - 34 NUMERIC MD=9 Q. 2. ARE YOU PEOPLE MAKING AS MUCH MONEY NOW AS YOU WERE A YEAR AGO, OR MORE, OR LESS. ............................................................ 501 1. MORE NOW 590 3. ABOUT THE SAME 194 5. LESS NOW 12 9. NA, DK ============================== VAR 620016 NAME-PPL WORRY ABT NEXT YEAR COLUMNS 35 - 35 NUMERIC MD=GE 8 Q. 3. DO YOU THINK PEOPLE AROUND HERE HAVE ANY WORRIES ABOUT HOW THEY'LL GET ALONG IN THE NEXT YEAR OR SO. I'M SPEAKING OF PEOPLE LIKE YOURSELF AND YOUR FRIENDS. ........................................................ IF R TALKED ONLY ABOUT HIMSELF, THE RESPONSE WAS GENERALIZED TO EVERYONE 439 1. YES, THERE ARE WORRIES. R WORRIES AND PEOPLE LIKE HIM (NO QUALIFICATION) 69 3. A FEW PEOPLE HAVE WORRIES, MANY OR MOST PEOPLE DON'T. R HAS WORRIES BUT DK ABOUT OTHERS (QUALIFICATION) 722 5. NO, THERE ARE NO WORRIES AT ALL 63 8. DK 4 9. NA ============================== VAR 620017 NAME-R BETTER FNCLY NEXT YEAR COLUMNS 36 - 36 NUMERIC MD=GE 8 Q. 4. NOW LOOKING AHEAD - DO YOU THINK THAT A YEAR FROM NOW YOU PEOPLE WILL BE BETTER OFF FINANCIALLY, OR WORSE OFF, OR JUST ABOUT THE SAME AS NOW. ............................................................ 433 1. BETTER OFF 643 3. SAME 67 5. WORSE OFF 144 8. UNCERTAIN 10 9. NA ============================== VAR 620018 NAME-PAST YR PRICES ROSE/FELL COLUMNS 37 - 37 NUMERIC MD=GE 8 Q. 8. WE'D LIKE TO KNOW WHAT'S HAPPENED TO PRICES OF HOUSEHOLD ITEMS AND CLOTHING HERE IN ...(COMMUNITY NAME)... DURING THE PAST YEAR. HAVE THEY STAYED ABOUT THE SAME, GONE UP, OR GONE DOWN. ............................................................ GROCERIES WERE EXCLUDED 511 1. PRICES WENT UP 51 2. SOME WENT UP, SOME STAYED THE SAME. SOME WENT UP, NA, DK OTHERS 511 3. PRICES STAYED WHERE THEY WERE. SOME WENT UP, SOME WENT DOWN. SOME STAYED THE SAME, DK OR NA OTHERS 15 4. SOME WENT DOWN, SOME STAYED THE SAME. SOME WENT DOWN, NA, DK OTHERS 41 5. PRICES WENT DOWN 154 8. DK, UNCERTAIN, DEPENDS 14 9. NA ============================== VAR 620019 NAME-NEXT YR PRICES RISE/FALL COLUMNS 38 - 38 NUMERIC MD=GE 8 Q. 9. NOW SPEAKING OF PRICES IN GENERAL, I MEAN THE PRICES OF THE THINGS YOU BUY - DO YOU THINK THEY WILL GO UP IN THE NEXT YEAR OR SO, OR GO DOWN, OR STAY WHERE THEY ARE NOW. ........................................................... 706 1. PRICES WILL (PROBABLY) GO UP 33 2. PRICES WILL EITHER STAY THE SAME OR WILL GO UP. SOME WILL GO UP, SOME WILL STAY THE SAME. SOME WILL GO UP, OTHERS NA 343 3. PRICES WILL STAY ABOUT THE SAME. SOME WILL GO UP, SOME WILL GO DOWN. LEVEL OFF, EVEN OFF 14 4. PRICES WILL EITHER STAY THE SAME OR GO DOWN. SOME WILL GO DOWN, SOME WILL STAY THE SAME. SOME WILL GO DOWN, OTHERS NA 40 5. PRICES WILL (PROBABLY) GO DOWN 144 8. DK, UNCERTAIN, DEPENDS 17 9. NA ============================== VAR 620020 NAME-XPRICE CHNG BE GOOD/BAD COLUMNS 39 - 39 NUMERIC MD=0 OR GE 6 Q. 10. WOULD YOU SAY THAT THESE (RISING PRICES) (FALLING PRICES) (UNCHANGED PRICES) WOULD BE TO THE GOOD, OR TO THE BAD, OR WHAT. .......................................................... 379 1. GOOD (GOOD FOR US, GOOD FOR AVERAGE PERSON) 54 3. MAKES NO DIFFERENCE 492 5. BAD (BAD FOR US, BAD FOR AVERAGE PERSON) 32 6. PRO-CON - GOOD FOR SOME PEOPLE, BAD FOR OTHERS. DEPENDS WHETHER PRODUCER OR CONSUMER 73 7. DEPENDS, OTHER 106 9. NA, DK 161 0. INAP., CODED 8 OR 9 IN REF.NO. 19 ============================== VAR 620021 NAME-IN 5 YR PRICES RISE/FALL COLUMNS 40 - 40 NUMERIC MD=GE 5 Q. 11. LOOKING FURTHER AHEAD - DO YOU EXPECT THAT, SAY, FIVE YEARS FROM NOW PRICES OF THE THINGS YOU BUY WILL BE HIGHER THAN THEY ARE AT PRESENT, LOWER, OR JUST ABOUT THE SAME. Q. 11A. (IF DK) ON WHAT DOES IT DEPEND IN YOUR OPINION. ............................................................ 639 0. PRICES WILL BE (DEFINITELY) HIGHER 52 1. PRICES WILL PROBABLY BE HIGHER. SAME OR HIGHER 157 2. PRICES WILL (PROBABLY) BE ABOUT THE SAME. SOME HIGHER, SOME LOWER. WON'T BE ANY HIGHER 13 3. PRICES WILL PROBABLY BE LOWER. SAME OR LOWER 74 4. PRICES WILL BE (DEFINITELY) LOWER DEPENDS 95 5. DEPENDS ON COLD WAR, WAR, DEFENSE PROGRAM, INTERNATIONAL SITUATION 21 6. DEPENDS ON GOVERNMENT POLICY (NO REFERENCE TO WAR, DEFENSE, ETC.) 40 7. DEPENDS ON BUSINESS CONDITIONS, EMPLOYMENT 169 8. DEPENDS - OTHER. DK, CAN'T TELL 37 9. NA (R SPEAKS ONLY OF WISHES AND HOPES) ============================== VAR 620022 NAME-NEXT 12 MNTHS GOOD FNCLY COLUMNS 41 - 41 NUMERIC MD=GE 7 Q. 12. NOW TURNING TO BUSINESS CONDITIONS IN THE COUNTRY AS A WHOLE - DO YOU THINK THAT DURING THE NEXT 12 MONTHS WE'LL HAVE GOOD TIMES FINANCIALLY, OR BAD TIMES, OR WHAT. ......................................................... IF ONLY A REGIONAL ANSWER WAS GIVEN, IT WAS CODED 614 1. GOOD TIMES 212 2. GOOD, WITH QUALIFICATIONS 83 3. PRO-CON 49 4. BAD, WITH QUALIFICATIONS 76 5. BAD TIMES 15 7. DEPENDS 232 8. UNCERTAIN, DK 16 9. NA ============================== VAR 620023 NAME-PSNT BUSN COND BTR/WRS COLUMNS 42 - 42 NUMERIC MD=GE 8 Q. 13. WOULD YOU SAY THAT AT PRESENT, BUSINESS CONDITIONS ARE BETTER OR WORSE THAN THEY WERE A YEAR AGO. .......................................................... 515 1. BETTER NOW 505 3. ABOUT THE SAME 210 5. WORSE NOW 59 8. DK, DEPENDS 8 9. NA ============================== VAR 620024 NAME-WLD RELNP AFCT BUSN COND COLUMNS 43 - 43 NUMERIC MD=0 OR GE 6 Q. 15.HOW DO YOU THINK THE WAY THINGS ARE GOING IN THE WORLD TODAY - I MEAN THE COLD WAR AND OUR RELATIONS WITH RUSSIA - ARE AFFECTING BUSINESS CONDITIONS HERE AT HOME. Q. 15A. DO YOU THINK THEY MAKE FOR GOOD TIMES, OR BAD TIMES, OR WHAT. ............................................................ EFFECT CODED FROM EITHER Q. 15 OR Q. 15A; CONSISTENCY WAS NOT FORCED. IF R SAID 'NO EFFECT' BUT ALSO 'BETTER TIMES', 'BETTER TIMES' WAS CODED 304 1. GOOD TIMES. BETTER TIMES. GOOD EFFECT 40 2. GOOD TIMES. BETTER TIMES. GOOD EFFECT (WITH QUALIFICATIONS) 63 3. PRO-CON. SOME INDUSTRIES (REGIONS) BETTER, OTHERS WORSE 41 4. BAD TIMES. WORSE TIMES. BAD EFFECT (WITH QUALIFICATIONS) 376 5. BAD TIMES. WORSE TIMES. BAD EFFECT 8 6. GOOD TIMES BECAUSE OF RELAXATION OF INTERNATIONAL TENSION 6 7. DEPENDS 182 8. DK, UNCERTAIN 88 9. NA 189 0. HAS NO EFFECT ON BUSINESS. NO CONNECTION ============================== VAR 620025 NAME-WHY WORLD AFCT BUSN COND COLUMNS 44 - 44 NUMERIC MD=GE 9 Q. 15B. WHY DO YOU THINK SO . .......................................................... FAVORABLE EFFECTS 139 0. PRIORITY: PEOPLE ARE (WILL BE) EMPLOYED. MORE JOBS 154 1. MONEY IS (WILL BE) SPENT, PUT INTO CIRCULATION. MORE SPENDING. MORE BUSINESS 42 2. OTHER FAVORABLE EFFECTS UNFAVORABLE EFFECTS 24 3. CAUSES (WILL CAUSE) INFLATION. HIGHER PRICES. LOWER PROFITS 8 4. TAXES ARE (WILL BE) HIGHER 281 5. MAKES PEOPLE FEEL INSECURE. HAVE NO CONFIDENCE IN GOVERNMENT. HESITATE TO SPEND, INVEST. UNCERTAIN. (IF R SPOKE ONLY OF UNCERTAINTY OR WORRIES THAT HAVE NO BUSINESS IMPLICATIONS, I.E., FEAR OF WAR, FEAR OF DRAFT, ETC., CODED 9). 11 6. CAUSES A DEFICIT. MORTGAGES THE FUTURE. HAS TO BE PAID FOR SOMEDAY. LOWER STANDARD OF LIVING. USES RESOURCES THAT COULD BE USED ELSEWHERE 12 7. NORMAL PRODUCTION WILL BE (MIGHT BE) DISRUPTED. MATERIAL SHORTAGES, BUILDING RESTRICTIONS 47 8. OTHER UNFAVORABLE ECONOMIC EFFECTS 579 9. NA, DK ============================== VAR 620026 NAME-GOVT REDUCE INCOME TAXES COLUMNS 45 - 45 NUMERIC MD=GE 6 Q. 16. OUR GOVERNMENT IS CONSIDERING A PROPOSAL TO REDUCE INCOME TAXES NEXT YEAR; WHAT DO YOU THINK OF THIS PROPOSAL. ........................................................... 716 1. GOOD PROPOSAL. IN FAVOR OF PROPOSAL 107 2. GOOD PROPOSAL - QUALIFICATION. ON THE WHOLE, MORE GOOD THAN BAD 57 3. PRO-CON. GOOD IN SOME RESPECTS, BAD IN OTHERS 47 4. BAD PROPOSAL WITH QUALIFICATIONS, NOT GOOD PROPOSAL. MORE UNFAVORABLE THAN FAVORABLE ASPECTS 184 5. BAD PROPOSAL 23 6. DEPENDS WHETHER GOVERNMENT CAN AFFORD IT 16 7. DEPENDS - OTHER 43 8. LOW PRIORITY: NO POSSIBILITY (PROBABILITY) OF TAX CUT 104 9. NA, DK ============================== VAR 620027 NAME-MUCH UEMP IN THIS AREA COLUMNS 46 - 46 NUMERIC MD=GE 6 Q. 17. IS THERE ANY UNEMPLOYMENT HERE IN THE AREA ...(LMA)... THAT YOU HAVE HEARD OF. Q. 17A. (IF YES) DOES IT INVOLVE MANY PEOPLE OR JUST A FEW. ............................................................ 241 1. YES, UNEMPLOYMENT, MANY PEOPLE INVOLVED. 'LOTS' OF UNEMPLOYMENT 110 2. YES, UNEMPLOYMENT, QUITE A FEW PEOPLE INVOLVED. R'S ANSWER IS SOMEWHERE BETWEEN MANY AND FEW. R MENTIONS ONLY A SPECIFIC INSTANCE 252 3. YES, UNEMPLOYMENT, A FEW PEOPLE INVOLVED 89 4. YES, UNEMPLOYMENT, NA HOW MANY PEOPLE INVOLVED. 'SOME' UNEMPLOYMENT 533 5. NO UNEMPLOYMENT. NONE THAT R KNOWS OF 2 6. UNCERTAIN, BUT THINKS THERE MAY BE SOME UNEMPLOYMENT 59 8. DK 11 9. NA ============================== VAR 620028 NAME-XPAST MONTHS UEMP INCRS COLUMNS 47 - 47 NUMERIC MD=0 OR GE 8 Q. 17B. (IF UNEMPLOYMENT IN AREA) WOULD YOU SAY UNEMPLOYMENT HERE HAS BEEN INCREASING OR DECREASING IN THE PAST FEW MONTHS, OR WAS THERE NO CHANGE. ............................................................ 219 1. INCREASING 178 3. NO CHANGE 198 5. DECREASING 65 8. DK 34 9. NA 603 0. INAP., CODED 5, 8, OR 9 IN REF.NO. 27 ============================== VAR 620029 NAME-NEXT YR WILL UEMP CHANGE COLUMNS 48 - 48 NUMERIC MD=GE 8 Q. 18. AND HOW ABOUT THE COMING 12 MONTHS - DO YOU THINK THERE WILL BE MORE UNEMPLOYMENT THAN NOW, ABOUT THE SAME, OR LESS. ......................................................... 178 1. MORE IN THE NEXT TWELVE MONTHS 712 3. ABOUT THE SAME 296 5. LESS IN THE NEXT TWELVE MONTHS 103 8. DK, DEPENDS 8 9. NA ============================== VAR 620030 NAME-XWHY UEMP CHANGE NEXT YR COLUMNS 49 - 49 NUMERIC MD=0 OR GE 8 Q. 18A. WHY DO YOU THINK SO . .................................................... IF LOCAL FRAME OF REFERENCE WAS GIVEN, IT WAS CODED; FRAME OF MAJOR FRAME OF REFERENCE 44 1. GOVERNMENT POLICY OR ACTION (OTHER THAN DEFENSE SPENDING) 32 2. DEFENSE SPENDING 162 3. TRENDS OR PROSPECTS IN INDIVIDUAL INDUSTRIES. NEW INDUSTRIES, NEW PLANTS 38 4. STAGE OF BUSINESS CYCLE. RECESSION. TRENDS ON PROSPECTS OF ECONOMY GENERALLY. NOTION OF PERIODICITY (THERE'S BOUND TO BE A CHANGE) 5 5. CONSUMER PURCHASING POWER (INCOME). CONSUMER DEMAND 37 6. AUTOMATION 17 7. COLD WAR, INTERNATIONAL CONFLICT 64 8. OTHER FRAME OF REFERENCE 75 9. DK, NA (INCLUDES 'THERE IS PLENTY OF WORK', 'NOT ENOUGH JOBS', ETC.) 823 0. INAP., CODED 3, 8, OR 9 IN REF.NO. 29 ============================== VAR 620031 NAME-BUSN CONDS BTR NEXT YEAR COLUMNS 50 - 50 NUMERIC MD=GE 8 Q. 19. AND HOW ABOUT A YEAR FROM NOW, DO YOU EXPECT THAT IN THE COUNTRY AS A WHOLE BUSINESS CONDITIONS WILL BE BETTER OR WORSE THAN THEY ARE AT PRESENT, OR JUST ABOUT THE SAME. ............................................................ 318 1. BETTER A YEAR FROM NOW 786 3. ABOUT THE SAME 66 5. WORSE A YEAR FROM NOW 117 8. DK, DEPENDS 10 9. NA ============================== VAR 620032 NAME-NEXT 5 YRS HV GOOD TIMES COLUMNS 51 - 51 NUMERIC MD=GE 5 Q. 20. LOOKING AHEAD, WHICH WOULD YOU SAY IS MORE LIKELY - THAT IN THE COUNTRY AS A WHOLE WE'LL HAVE CONTINUOUS GOOD TIMES DURING THE NEXT FIVE YEARS OR SO, OR THAT WE WILL HAVE PERIODS OF WIDESPREAD UNEMPLOYMENT OR DEPRESSION, OR WHAT. Q. 20A. (IF DK OR DEPENDS) ON WHAT DOES IT DEPEND IN YOUR OPINION. ............................................................ IF R GAVE BOTH REGIONAL AND NATIONAL FRAME OF REFERENCE, THE NATIONAL HAD PRIORITY. IF R JUST GAVE THE REGIONAL FRAME, IT WAS CODED 312 0. (CONTINUOUS) GOOD TIMES. BOOM. PROSPERITY 119 1. GOOD TIMES, QUALIFIED (NOT BAD), TIMES WILL IMPROVE 144 2. PRO-CON. ABOUT THE SAME. SOME UNEMPLOYMENT 118 3. BAD TIMES, QUALIFIED (NOT GOOD) (RECESSION), BAD AT SOME TIME BUT NOT MOST OF THE TIME 131 4. BAD TIMES, DEPRESSION, WIDESPREAD UNEMPLOYMENT DEPENDS 150 5. DEPENDS ON COLD WAR, DEFENSE PROGRAM, AID TO ALLIES, INTERNATIONAL SITUATION, WAR 34 6. DEPENDS ON GOVERNMENT POLICY (NO REFERENCE TO WAR OR DEFENSE), POLITICS, POLICIES OF ADMINISTRATION 34 7. DEPENDS ON BUSINESS CONDITIONS, EMPLOYMENT-LABOR- MANAGEMENT RELATIONS, STRIKES 148 8. DEPENDS ON OTHER. DK, CAN'T TELL 107 9. NA (R SPEAKS ONLY OF HOPES AND WISHES) ============================== VAR 620033 NAME-NEXT 5 YRS HV DEPRESSION COLUMNS 52 - 52 NUMERIC MD=GE 6 Q. 21. DO YOU THINK THAT SOMETHING LIKE THE DEPRESSION OF THE THIRTIES IS LIKELY TO HAPPEN AGAIN DURING THE NEXT FIVE YEARS OR SO. ........................................................... 71 1. YES 49 2. YES, QUALIFIED 33 4. NO, QUALIFIED 989 5. NO (IF R SAID "NOT LIKELY TO HAPPEN", CODED HERE ONLY IF NO QUALIFICATIONS; IF R SAID "CAN'T HAPPEN", CODED HERE EVEN IF QUALIFIED) 13 6. DEPENDS ON INTERNATIONAL SITUATION 6 7. DEPENDS ON GOVERNMENT 119 8. DK, DEPENDS (OTHER THAN 6 OR 7) 17 9. NA ============================== VAR 620034 NAME-WILL WE HAVE RCSN & UEMP COLUMNS 53 - 53 NUMERIC MD=GE 6 Q. 22. HOW ABOUT A RECESSION AND UNEMPLOYMENT LIKE WE HAD IN 1958 AND IN WINTER 1960-61; DO YOU THINK THIS MIGHT HAPPEN AGAIN. .......................................................... 711 1. YES 36 2. YES, QUALIFIED 18 4. NO, QUALIFIED 291 5. NO (IF R SAID "NOT LIKELY TO HAPPEN", CODED HERE ONLY IF NO QUALIFICATIONS; IF R SAID "CAN'T HAPPEN", CODED HERE EVEN IF QUALIFIED) 8 6. DEPENDS ON INTERNATIONAL SITUATION 7 7. DEPENDS ON GOVERNMENT 200 8. DK, DEPENDS (OTHER THAN 6 OR 7) 26 9. NA ============================== VAR 620035 NAME-R'S PARTY IDENTIFICATION COLUMNS 54 - 54 NUMERIC MD=GE 7 Q. 34. GENERALLY SPEAKING DO YOU USUALLY THINK OF YOURSELF AS A REPUBLICAN, A DEMOCRAT, AN INDEPENDENT, OR WHAT. Q. 34A, 34B. (IF R OR D) WOULD YOU CALL YOURSELF A STRONG (R)(D) OR A NOT VERY STRONG (R)(D). Q. 34C. (IF INDEPENDENT OR OTHER) DO YOU THINK OF YOURSELF AS CLOSER TO THE REPUBLICAN OR DEMOCRATIC PARTY. ........................................................... 297 0. STRONG DEMOCRAT 300 1. NOT VERY STRONG DEMOCRAT 93 2. INDEPENDENT CLOSER TO DEMOCRATS ('YES, DEMOCRAT' TO Q. 34C) 100 3. INDEPENDENT ('NO, NEITHER' TO Q. 34C) 80 4. INDEPENDENT CLOSER TO REPUBLICANS ('YES, REPUBLICAN' TO Q. 34C) 209 5. NOT VERY STRONG REPUBLICAN 158 6. STRONG REPUBLICAN 2 7. OTHER, MINOR PARTY, OR REFUSED TO SAY 50 8. APOLITICAL 8 9. NA ============================== VAR 620036 NAME-VT IN HOW MANY PRES ELCT COLUMNS 55 - 55 NUMERIC MD=GE 6 Q. 35. IN THE ELECTIONS FOR PRESIDENT SINCE YOU HAVE BEEN OLD ENOUGH TO VOTE, WOULD YOU SAY THAT YOU HAVE VOTED IN ALL OF THEM, MOST OF THEM, SOME OF THEM, OR NONE OF THEM. .......................................................... 618 1. ALL OF THEM 271 2. MOST OF THEM 213 3. SOME OF THEM 171 4. NONE OF THEM 6. VOTED, NA HOW MANY 21 7. NONE OF THEM BECAUSE NOT OLD ENOUGH TO VOTE BEFORE OR NOT A CITIZEN BEFORE. RESIDENT OF WASHINGTON, D.C. IN PREVIOUS ELECTIONS 1 8. DK 2 9. NA ============================== VAR 620037 NAME-XVT SAME PARTY FOR PRES COLUMNS 56 - 56 NUMERIC MD=0 OR GE 8 Q. 36. (IF EVER VOTED FOR PRESIDENT) HAVE YOU ALWAYS VOTED FOR THE SAME PARTY OR HAVE YOU VOTED FOR DIFFERENT PARTIES FOR PRESIDENT. Q. 36A. (IF SAME) WHICH PARTY WAS THAT. ............................................................ 371 1. ALWAYS SAME PARTY - DEMOCRATIC 232 2. ALWAYS SAME PARTY - REPUBLICAN 3 3. ALWAYS SAME PARTY - OTHER PARTY OR NA WHICH PARTY 15 4. MOSTLY SAME PARTY - DEMOCRATIC 17 5. MOSTLY SAME PARTY - REPUBLICAN 6. MOSTLY SAME PARTY - OTHER PARTY OR NA WHICH PARTY 434 7. DIFFERENT PARTIES 1 8. DK 32 9. NA 192 0. INAP., CODED 4 OR 7 IN REF.NO. 36 ============================== VAR 620038 NAME-1960 VT FOR KENNEDY/NXN COLUMNS 57 - 57 NUMERIC MD=0 OR GE 8 Q. 37. (IF EVER VOTED FOR PRESIDENT) TWO YEARS AGO, IN 1960, YOU REMEMBER THAT MR. KENNEDY RAN AGAINST MR. NIXON. DO YOU REMEMBER FOR SURE WHETHER OR NOT YOU VOTED IN THAT ELECTION. Q. 37A. (IF YES) DID YOU VOTE FOR KENNEDY OR NIXON. ............................................................ 530 1. KENNEDY 407 2. NIXON 3 3. OTHER 329 5. DID NOT VOTE 11 6. VOTED, NA OR REFUSED TO TELL FOR WHOM 4 7. VOTED, DK FOR WHOM 10 8. DK IF VOTED 1 9. NA 2 0. REFUSED TO SAY IF VOTED ============================== VAR 620039 NAME-INTSTD IN '62 POLTL CMPN COLUMNS 58 - 58 NUMERIC MD=GE 8 Q. 38. SOME PEOPLE DON'T PAY MUCH ATTENTION TO THE POLITICAL CAMPAIGNS. HOW ABOUT YOU, WOULD YOU SAY THAT YOU WERE VERY MUCH INTERESTED, SOMEWHAT INTERESTED, OR NOT MUCH INTERESTED IN FOLLOWING THE POLITICAL CAMPAIGNS THIS YEAR. ........................................................... 467 1. VERY MUCH INTERESTED 489 3. SOMEWHAT INTERESTED 338 5. NOT MUCH INTERESTED 8. DK 3 9. NA ============================== VAR 620040 NAME-USLY FOLLOW POLT CLOSELY COLUMNS 59 - 59 NUMERIC MD=9 Q. 39. WE'D ALSO LIKE TO KNOW HOW MUCH ATTENTION YOU PAY TO WHAT'S GOING ON IN POLITICS GENERALLY. I MEAN FROM DAY TO DAY, WHEN THERE ISN'T ANY BIG ELECTION CAMPAIGN GOING ON. WOULD YOU SAY YOU FOLLOW POLITICS VERY CLOSELY, FAIRLY CLOSELY, OR NOT MUCH AT ALL. ............................................................ 206 1. VERY CLOSELY 549 3. FAIRLY CLOSELY 538 5. NOT MUCH AT ALL 4 9. NA ============================== VAR 620041 NAME-VOTED 1962 & PARTY PRFRC COLUMNS 60 - 60 NUMERIC MD=GE 8 Q. 40. ONE OF THE THINGS WE NEED TO KNOW IS WHETHER OR NOT PEOPLE REALLY DID GET TO VOTE THIS FALL. IN TALKING TO PEOPLE ABOUT THE ELECTION WE FIND THAT A LOT OF THEM WEREN'T ABLE TO VOTE BECAUSE THEY WEREN'T REGISTERED, THEY WERE SICK, OR SOMETHING ELSE CAME UP AT THE LAST MINUTE. DO YOU REMEMBER FOR SURE WHETHER OR NOT YOU VOTED IN THE NOVEMBER ELECTION. Q. 40A. (IF NO OR DK) WHO WOULD YOU HAVE VOTED FOR, FOR CONGRESS, IF YOU HAD VOTED. (IF R DOESN'T MENTION PARTY) WHICH PARTY WAS THAT. ............................................................ 773 1. YES, DEFINITELY VOTED 8 2. YES, THINK SO (I THINK I VOTED) 212 3. NON-VOTER - DEMOCRATIC PREFERENCE 105 4. NON-VOTER - REPUBLICAN PREFERENCE 1 5. NON-VOTER - OTHER PREFERENCE 5 6. NON-VOTER - REFUSED TO STATE PREFERENCE 189 7. NON-VOTER - NA, DK PREFERENCE 2 8. REFUSED TO SAY WHETHER VOTED 2 9. NA WHETHER VOTED ============================== VAR 620042 NAME-VT FOR CNGSMN & FOR WHOM COLUMNS 61 - 61 NUMERIC MD=GE 7 Q. 41. (IF VOTED) HOW ABOUT THE VOTE FOR CONGRESSMAN. DID YOU VOTE FOR A CANDIDATE FOR CONGRESS. Q. 41A. (IF YES) WHO DID YOU VOTE FOR. (IF R DOES NOT MENTION PARTY) WHICH PARTY WAS THAT. ........................................................... VOTE FOR HOUSE OF REPRESENTATIVES: DISTRICT CANDIDATE 214 1. MENTIONS CORRECT DEMOCRATIC CANDIDATE 18 2. MENTIONS INCORRECT DEMOCRATIC CANDIDATE 173 3. MENTIONS DEMOCRATIC PARTY ONLY 170 4. MENTIONS CORRECT REPUBLICAN CANDIDATE 22 5. MENTIONS INCORRECT REPUBLICAN CANDIDATE 101 6. MENTIONS REPUBLICAN PARTY ONLY 548 7. DID NOT VOTE FOR CONGRESSMAN OR DK WHETHER VOTED FOR CONGRESSMAN (NO OR DK TO Q. 41 OR NO CANDIDATE OF R'S PARTY, THEREFORE NO VOTE) OR CODED 3-9 IN 12 8. DK WHO R VOTED FOR (YES TO Q. 41, DK TO Q. 41A) 39 9. NA WHO VOTED FOR. REFUSED TO ANSWER Q. 41. OTHER PARTY ============================== VAR 620043 NAME-VT FOR CNGSMAN-AT-LARGE COLUMNS 62 - 62 NUMERIC MD=0 OR GE 7 Q. 41. (IF VOTED) HOW ABOUT THE VOTE FOR CONGRESSMAN. DID YOU VOTE FOR A CANDIDATE FOR CONGRESS. Q. 41A. (IF YES) WHO DID YOU VOTE FOR. (IF R DOES NOT MENTION PARTY) WHICH PARTY WAS THAT. ........................................................... CODED ONLY FOR ALABAMA, CONNECTICUT, MARYLAND, MICHIGAN, OHIO, AND TEXAS WHERE A 2ND CONGRESSMAN-AT-LARGE WAS UP FOR ELECTION. WHERE R VOTED FOR ONLY ONE CANDIDATE, IT WAS DETERMINED WHETHER DISTRICT OR AT-LARGE AND CODED IN THE APPROPRIATE COLUMN, WHILE THE OTHER COLUMN WAS CODED 7; IF THE INTERVIEWER DID NOT ASCERTAIN THE VOTE FOR A SECOND CANDIDATE, THE MISSING CANDIDATE WAS CODED NA INSTEAD. IF ONLY A PARTY WAS MENTIONED, IT WAS CODED IN BOTH COLUMNS VOTE FOR HOUSE OF REPRESENTATIVES: AT-LARGE CANDIDATE 15 1. MENTIONS CORRECT DEMOCRATIC CANDIDATE 2. MENTIONS INCORRECT DEMOCRATIC CANDIDATE 37 3. MENTIONS DEMOCRATIC PARTY ONLY 21 4. MENTIONS CORRECT REPUBLICAN CANDIDATE 5. MENTIONS INCORRECT REPUBLICAN CANDIDATE 28 6. MENTIONS REPUBLICAN PARTY ONLY 155 7. DID NOT VOTE FOR CONGRESSMAN OR DK WHETHER VOTED FOR CONGRESSMAN (NO OR DK TO Q. 41 OR NO CANDIDATE OF R'S PARTY, THEREFORE NO VOTE) OR CODED 3-9 IN 3 8. DK WHO R VOTED FOR (YES TO Q. 41, DK TO Q. 41A) 59 9. NA WHO VOTED FOR. REFUSED TO ANSWER Q. 41. OTHER PARTY 979 0. NO AT-LARGE ELECTION ============================== VAR 620044A NAME-XMOST IMP RSN VT FOR HIM COLUMNS 63 - 64 NUMERIC MD=0 OR GE 97 Q. 41B. (IF VOTED FOR CONGRESSIONAL CANDIDATE) WHAT WOULD YOU SAY IS THE MOST IMPORTANT REASON YOU VOTED FOR HIM. .......................................................... TWO REASONS CODED 63 11. CANDIDATE'S PERSONALITY, PERSONAL ATTRIBUTES 110 12. HAS DONE A GOOD JOB. EXPERIENCE 79 13. CANDIDATE A 'GOOD MAN' - NO ELABORATION 9 14. INFLUENCE OF FRIENDS, RELATIVES 57 15. DISLIKED OPPOSING CANDIDATE 25 16. PERSONAL CONTACT WITH, OR PERSONAL KNOWLEDGE ABOUT CANDIDATE 11 19. OTHER PERSONAL REASON 198 21. PARTY IDENTIFICATION -- SUPPORT MY PARTY. HE WAS A (D)(R) CANDIDATE'S STANDS ON ISSUES (WHETHER UNIQUE TO CANDIDATE OR TIED TO PARTY) 7 31. PRIORITY: DOMESTIC POLICY -- MEDICAL CARE TO AGED 4 33. DOMESTIC POLICY -- FARM POLICY 6 37. DOMESTIC POLICY -- FISCAL POLICY ('FREE SPENDING', ETC.) 2 38. DOMESTIC POLICY -- INTEGRATION-SEGREGATION. 'MISSISSIPPI', 'MEREDITH' 39. DOMESTIC POLICY -- NATIONAL DEFENSE 8 41. DOMESTIC POLICY -- SPECIFICALLY LOCAL OR SECTIONAL ISSUES: SPECIFIC AID, BENEFITS TO LOCAL AREA 6 42. DOMESTIC POLICY -- LABOR 3 47. DOMESTIC POLICY, NA WHICH ISSUE 5 48. OTHER NATIONAL DOMESTIC POLICY, DOMESTIC PROGRAM, PLATFORM 60 49. ISSUES (NA WHETHER FOREIGN OR DOMESTIC). PROGRAM, PLATFORM, VOTING RECORD GROUP RELEVANCE 28 71. CANDIDATE WILL (WILL NOT) DO MORE FOR, IS BETTER FOR, POPULATION GROUP OR CATEGORY (MIDDLE CLASS PEOPLE, BUSINESSMEN, OLDER PEOPLE, NEGROES, FARMERS, COMMON PEOPLE, PEOPLE LIKE ME, LABORING PEOPLE -- ALL GROUPS EXCEPT CONGRESSIONAL DISTRICT PEOPLE AS A CATEGORY) POLITICAL 31 81. ALWAYS VOTE STRAIGHT TICKET 10 82. BETTER TO KEEP THINGS BALANCED. DON'T LET ONE PARTY HAVE TOO MUCH POWER 7 83. CAMPAIGN. CAMPAIGN TACTICS, EVENTS, SPEECHES 3 84. OPPOSITE PARTY CORRUPT (LOCALLY) 8 85. GIVE PRESIDENT A CONGRESS WHICH WILL SUPPORT HIM 5 86. DIDN'T KNOW OPPOSING CANDIDATE 3 87. ENDORSEMENT OF NEWSPAPERS, MAGAZINES OR OTHER MASS MEDIA 5 88. CONGRESSMAN OR CANDIDATE SENT LITERATURE, QUESTIONNAIRE. LETS PEOPLE KNOW HOW HE FEELS. INTERESTED IN CONSTITUENTS 15 89. OTHER POLITICAL OTHER 6 91. JUST (DON'T) LIKE CANDIDATE (NO SPECIFIC CONTENT) 13 92. CANDIDATE GOOD FOR THIS DISTRICT, FOR PEOPLE IN THIS AREA (NO SPECIFIC CONTENT) 1 93. MISTAKE. INTENDED TO VOTE FOR OTHER CANDIDATE 14 94. CANDIDATE UNOPPOSED 5 97. MISCELLANEOUS 18 98. DK 56 99. NA 1713 00. INAP., CODED 7 IN REF.NO. 42 AND CODED 7 OR 0 IN ============================== VAR 620044B NAME-XMOST IMP RSN VT FOR HIM COLUMNS 65 - 66 NUMERIC MD=0 OR GE 97 Q. 41B. (IF VOTED FOR CONGRESSIONAL CANDIDATE) WHAT WOULD YOU SAY IS THE MOST IMPORTANT REASON YOU VOTED FOR HIM. .......................................................... TWO REASONS CODED 63 11. CANDIDATE'S PERSONALITY, PERSONAL ATTRIBUTES 110 12. HAS DONE A GOOD JOB. EXPERIENCE 79 13. CANDIDATE A 'GOOD MAN' - NO ELABORATION 9 14. INFLUENCE OF FRIENDS, RELATIVES 57 15. DISLIKED OPPOSING CANDIDATE 25 16. PERSONAL CONTACT WITH, OR PERSONAL KNOWLEDGE ABOUT CANDIDATE 11 19. OTHER PERSONAL REASON 198 21. PARTY IDENTIFICATION -- SUPPORT MY PARTY. HE WAS A (D)(R) CANDIDATE'S STANDS ON ISSUES (WHETHER UNIQUE TO CANDIDATE OR TIED TO PARTY) 7 31. PRIORITY: DOMESTIC POLICY -- MEDICAL CARE TO AGED 4 33. DOMESTIC POLICY -- FARM POLICY 6 37. DOMESTIC POLICY -- FISCAL POLICY ('FREE SPENDING', ETC.) 2 38. DOMESTIC POLICY -- INTEGRATION-SEGREGATION. 'MISSISSIPPI', 'MEREDITH' 39. DOMESTIC POLICY -- NATIONAL DEFENSE 8 41. DOMESTIC POLICY -- SPECIFICALLY LOCAL OR SECTIONAL ISSUES: SPECIFIC AID, BENEFITS TO LOCAL AREA 6 42. DOMESTIC POLICY -- LABOR 3 47. DOMESTIC POLICY, NA WHICH ISSUE 5 48. OTHER NATIONAL DOMESTIC POLICY, DOMESTIC PROGRAM, PLATFORM 60 49. ISSUES (NA WHETHER FOREIGN OR DOMESTIC). PROGRAM, PLATFORM, VOTING RECORD GROUP RELEVANCE 28 71. CANDIDATE WILL (WILL NOT) DO MORE FOR, IS BETTER FOR, POPULATION GROUP OR CATEGORY (MIDDLE CLASS PEOPLE, BUSINESSMEN, OLDER PEOPLE, NEGROES, FARMERS, COMMON PEOPLE, PEOPLE LIKE ME, LABORING PEOPLE -- ALL GROUPS EXCEPT CONGRESSIONAL DISTRICT PEOPLE AS A CATEGORY) POLITICAL 31 81. ALWAYS VOTE STRAIGHT TICKET 10 82. BETTER TO KEEP THINGS BALANCED. DON'T LET ONE PARTY HAVE TOO MUCH POWER 7 83. CAMPAIGN. CAMPAIGN TACTICS, EVENTS, SPEECHES 3 84. OPPOSITE PARTY CORRUPT (LOCALLY) 8 85. GIVE PRESIDENT A CONGRESS WHICH WILL SUPPORT HIM 5 86. DIDN'T KNOW OPPOSING CANDIDATE 3 87. ENDORSEMENT OF NEWSPAPERS, MAGAZINES OR OTHER MASS MEDIA 5 88. CONGRESSMAN OR CANDIDATE SENT LITERATURE, QUESTIONNAIRE. LETS PEOPLE KNOW HOW HE FEELS. INTERESTED IN CONSTITUENTS 15 89. OTHER POLITICAL OTHER 6 91. JUST (DON'T) LIKE CANDIDATE (NO SPECIFIC CONTENT) 13 92. CANDIDATE GOOD FOR THIS DISTRICT, FOR PEOPLE IN THIS AREA (NO SPECIFIC CONTENT) 1 93. MISTAKE. INTENDED TO VOTE FOR OTHER CANDIDATE 14 94. CANDIDATE UNOPPOSED 5 97. MISCELLANEOUS 18 98. DK 56 99. NA 1713 00. INAP., CODED 7 IN REF.NO. 42 AND CODED 7 OR 0 IN ============================== VAR 620045 NAME-XTIME BFR ELCTN DCD VOTE COLUMNS 67 - 67 NUMERIC MD=0 OR GE 8 Q. 41C. (IF VOTED FOR CONGRESSIONAL CANDIDATE) HOW LONG BEFORE THE ELECTION DID YOU DECIDE THAT YOU WERE GOING TO VOTE THE WAY YOU DID. ......................................................... 218 1. KNEW ALL ALONG. ALWAYS VOTE FOR THE SAME PARTY 75 2. PRE-CONVENTION OR PRE-PRIMARY BECAUSE OF CANDIDATE'S CANDIDACY. AS SOON AS CANDIDATE SAID HE WOULD RUN 58 3. DECIDED AT TIME OF CONVENTION OR PRIMARY. JUST AFTER THE PRIMARY OR CONVENTION. WHEN CANDIDATE WAS NOMINATED 147 4. DECIDED AFTER THE CONVENTION, DURING THE CAMPAIGN (2 WEEKS TO 3 MONTHS) 102 5. DECIDED WITHIN TWO WEEKS OF ELECTION 1 6. DECIDED DURING THE CUBAN CRISIS 26 7. DECIDED ON ELECTION DAY 33 8. DK 90 9. NA 547 0. INAP., CODED 7 IN REF.NO. 42 AND CODED 7 OR 0 IN ============================== VAR 620046 NAME-KNDY INTST IN ELCTN HERE COLUMNS 68 - 68 NUMERIC MD=GE 8 Q. 42. (IF VOTED) DO YOU HAPPEN TO KNOW IF PRESIDENT KENNEDY HAD ANY SPECIAL INTEREST IN THE ELECTION FOR CONGRESS HERE IN YOUR DISTRICT. Q. 42A. (IF YES) TELL ME ABOUT IT. ............................................................ MODE OF EXPRESSING INTEREST 78 1. YES, VISITED DISTRICT 10 2. YES, EXPRESSED INTEREST IN MASS MEDIA 9 3. YES, OTHER MODE 136 4. YES, NA MODE OF EXPRESSION 8 5. HE COULD HAVE COME BUT CUBAN CRISIS INTERVENED 186 6. NO, NO INTEREST 3 7. NO, NO INTEREST AND DID NOT NEED TO HAVE SPECIAL INTEREST: 'HE COULDN'T HELP US ANYWAY,' 'WE DIDN'T WANT HIM HERE,' 'HE COULD ONLY HAVE HURT US,' OTHER 427 8. NO, I DON'T KNOW 440 9. NA ============================== VAR 620047 NAME-XNATURE OF KNDY INTST COLUMNS 69 - 69 NUMERIC MD=0 Q. 42. (IF VOTED) DO YOU HAPPEN TO KNOW IF PRESIDENT KENNEDY HAD ANY SPECIAL INTEREST IN THE ELECTION FOR CONGRESS HERE IN YOUR DISTRICT. Q. 42A. (IF YES) TELL ME ABOUT IT. ............................................................ NATURE OF INTEREST 56 1. SUPPORT SPECIFIC DEMOCRATIC CANDIDATE(S) 66 2. SUPPORT OF DEMOCRATIC CANDIDATES IN GENERAL 31 3. WANTED (LARGER) DEMOCRATIC MAJORITY IN CONGRESS 1 4. WANTED TO DEFEAT REPUBLICAN CANDIDATE(S). (IF NAME(S) GIVEN, CODED ONLY IF NAMED WAS, IN FACT, REPUBLICAN) 2 5. WANTED SUPPORT FOR DOMESTIC OR CIVIL RIGHTS POLICY 1 6. WANTED TO DEFEAT OPPOSITION TO DOMESTIC POLICY (EXCLUDING CIVIL RIGHTS) 1 7. WANTED TO DEFEAT OPPOSITION TO CIVIL RIGHTS POLICY 7 8. WANTED TO DEFEAT OPPOSITION TO FOREIGN POLICY 1132 0. INAP., NO INTEREST (CODED 6, 7, 8 OR 9 IN REF. NO. 46); NA ============================== VAR 620048 NAME-X1962 ST & LOC ELECTN VT COLUMNS 70 - 70 NUMERIC MD=0 OR GE 8 Q. 43. (IF VOTED) HOW ABOUT THE ELECTIONS FOR STATE AND LOCAL OFFICES -- DID YOU VOTE A STRAIGHT TICKET OR DID YOU VOTE FOR CANDIDATES FROM DIFFERENT PARTIES. Q. 43A. (IF VOTED A STRAIGHT TICKET) WHICH PARTY DID YOU VOTE FOR. ............................................................ 271 1. VOTED STRAIGHT TICKET - DEMOCRATIC 165 2. VOTED STRAIGHT TICKET - REPUBLICAN 2 3. VOTED STRAIGHT TICKET - OTHER PARTY OR NA WHICH PARTY 4. REFUSED TO ANSWER 13 5. SPLIT TICKET BUT VOTED MOSTLY DEMOCRATIC 9 6. SPLIT TICKET BUT VOTED MOSTLY REPUBLICAN 293 7. SPLIT TICKET BUT VOTED MOSTLY FOR OTHER THAN TWO MAJOR PARTIES OR NA HOW SPLIT 3 8. DK 23 9. NA 518 0. INAP., DID NOT VOTE, ETC. (CODED 3, 4, 5, 6, 7, 8, OR 9 IN REF.NO. 41), OR DID NOT VOTE FOR STATE AND LOCAL CANDIDATES ============================== VAR 620049 NAME-HELP PTY-TALK TO PEOPLE COLUMNS 71 - 71 NUMERIC MD=GE 8 Q. 44. I HAVE A LIST OF SOME OF THE THINGS THAT PEOPLE DO THAT HELP A PARTY OR A CANDIDATE WIN AN ELECTION. COULD YOU TELL ME WHETHER YOU DID ANY OF THESE THINGS DURING THE LAST ELECTION CAMPAIGN. Q. 44A. DID YOU TALK TO ANY PEOPLE AND TRY TO SHOW THEM WHY THEY SHOULD VOTE FOR ONE OF THE PARTIES OR CANDIDATES. ............................................................ 237 1. YES 1050 5. NO 8. DK 10 9. NA ============================== VAR 620050 NAME-HELP PTY-GIVE MONEY COLUMNS 72 - 72 NUMERIC MD=GE 8 Q. 44B. DID YOU GIVE ANY MONEY OR BUY TICKETS OR ANYTHING TO HELP THE CAMPAIGN FOR ONE OF THE PARTIES OR CANDIDATES. ............................................................ 120 1. YES 1166 5. NO 1 8. DK 10 9. NA ============================== VAR 620051 NAME-HELP PTY-GO TO POLTL MTG COLUMNS 73 - 73 NUMERIC MD=GE 8 Q. 44C. DID YOU GO TO ANY POLITICAL MEETINGS, RALLIES, DINNERS, OR THINGS LIKE THAT . ........................................................... 103 1. YES 1184 5. NO 8. DK 10 9. NA ============================== VAR 620052 NAME-HELP PTY-WRK FOR CAND COLUMNS 74 - 74 NUMERIC MD=GE 8 Q. 44D. DID YOU DO ANY OTHER WORK FOR ONE OF THE PARTIES OR CANDIDATES. ......................................................... 50 1. YES 1236 5. NO 8. DK 11 9. NA ============================== VAR 620053 NAME-HELP PTY-BLNG POLTL CLUB COLUMNS 75 - 75 NUMERIC MD=GE 8 Q. 44E. DO YOU BELONG TO ANY POLITICAL CLUB OR ORGANIZATIONS . ............................................................ 47 1. YES 1237 5. NO 8. DK 13 9. NA ============================== VAR 620054 NAME-HELP PTY-WEAR CMPNBUTTON COLUMNS 76 - 76 NUMERIC MD=GE 8 Q. 44F. DID YOU WEAR A CAMPAIGN BUTTON OR PUT A CAMPAIGN STICKER ON YOUR CAR ............................................................ 124 1. YES 1160 5. NO 8. DK 13 9. NA ============================== VAR 620055 NAME-GOVT GIVE MONEY FOR SCHL COLUMNS 77 - 77 NUMERIC MD=0 OR GE 8 AROUND ELECTION TIME PEOPLE TALK ABOUT DIFFERENT THINGS THAT OUR GOVERNMENT IN WASHINGTON IS DOING OR SHOULD BE DOING. NOW I WOULD LIKE TO TALK TO YOU ABOUT SOME OF THE THINGS THAT OUR GOVERNMENT MIGHT DO. OF COURSE, DIFFERENT THINGS ARE IMPORTANT TO DIFFERENT PEOPLE, SO WE DON'T EXPECT EVERYONE TO HAVE AN OPINION ABOUT ALL OF THESE. Q. 45. "IF CITIES AND TOWNS AROUND THE COUNTRY NEED HELP TO BUILD MORE SCHOOLS, THE GOVERNMENT IN WASHINGTON OUGHT TO GIVE THEM THE MONEY THEY NEED." DO YOU HAVE AN OPINION ON THIS OR NOT. Q. 45A. (IF YES) DO YOU AGREE THAT THE GOVERNMENT SHOULD DO THIS OR DO YOU THINK THE GOVERNMENT SHOULD NOT DO IT. ............................................................ 747 1. AGREE 60 3. NOT SURE. IT DEPENDS 343 5. DISAGREE 6 8. DK 10 9. NA (NO ANSWER CHECKED) 131 0. NO OPINION ============================== VAR 620056 NAME-XGOVT AID RLGS SCHOOLS COLUMNS 78 - 78 NUMERIC MD=0 OR GE 8 Q. 45B. (IF GOVERNMENT SHOULD AID SCHOOLS) "MANY SCHOOLS AROUND THE COUNTRY ARE MAINTAINED BY VARIOUS RELIGIOUS GROUPS." DO YOU THINK THE GOVERNMENT SHOULD PROVIDE AID TO THESE SCHOOLS AS WELL AS TO PUBLIC SCHOOLS. ........................................................... 373 1. YES, ALL SCHOOLS SHOULD BE HELPED WHETHER PUBLIC OR PRIVATE (UNQUALIFIED SUPPORT OF AID TO PRIVATE SCHOOLS) 3 2. YES, QUALIFIED - CATHOLIC SCHOOLS SHOULD NOT BE HELPED. DOUBT BECAUSE OF CATHOLIC SCHOOLS 33 3. YES, QUALIFIED. OTHER 331 5. NO, PRIVATE RELIGIOUS SCHOOLS SHOULD NOT BE HELPED (UNQUALIFIED OPPOSITION TO AID FOR PRIVATE SCHOOLS) 3 6. NO, BUT MIGHT CHANGE MIND IF CATHOLIC SCHOOLS EXEMPTED FROM SUCH AID. 'NO, WE CAN'T HELP THOSE CATHOLICS.' SPECIFIC MENTION OF CATHOLIC SCHOOLS AS REASON FOR OPPOSITION 6 7. NO, BUT OTHER QUALIFICATION 45 8. DK 13 9. NA 490 0. INAP., CODED 5, 8, 9 OR 0 IN REF.NO. 55 ============================== VAR 620057 NAME-OPIN: GOVT MEDICAL AID COLUMNS 79 - 79 NUMERIC MD=GE 8 Q. 46. NOW ON A DIFFERENT PROBLEM. "THE GOVERNMENT OUGHT TO HELP PEOPLE GET DOCTORS AND HOSPITAL CARE AT LOW COST." DO YOU HAVE AN OPINION ON THIS OR NOT. .......................................................... 1110 1. YES 182 5. NO 4 8. DK 1 9. NA ============================== VAR 620058 NAME-XGOVT GIVE MEDICAL AID COLUMNS 80 - 80 NUMERIC MD=0 OR GE 8 Q. 46A. (IF HAS OPINION ON FEDERAL MEDICAL AID) DO YOU AGREE THAT THE GOVERNMENT SHOULD DO THIS OR DO YOU THINK THE GOVERNMENT SHOULD NOT DO IT. ............................................................ 635 1. YES 86 2. YES, QUALIFIED 32 3. YES, FOR THE AGED. 'MEDICARE' 24 4. NO, QUALIFIED 277 5. NO 4 6. NO, EXCEPT FOR AGED OR 'MEDICARE' 33 7. YES, FOR THOSE WHO NEED IT. FOR THOSE FINANCIALLY UNABLE 6 8. DK 13 9. NA 187 0. INAP., CODED 5, 8, OR 9 IN REF.NO. 57 ============================== VAR 620059A NAME-XRSNS GOVT MEDICAL AID COLUMNS 81 - 82 NUMERIC MD=GE 91 Q. 46B. (IF HAS OPINION ON FEDERAL MEDICAL AID) WHY DO YOU FEEL THIS WAY. ........................................................... CODED UP TO TWO MENTIONS; CONSISTENCY WITH REF.NO. 58 WAS NOT FORCED FAVORS GOVERNMENT ASSISTANCE GENERAL POLITICAL-SOCIAL-ECONOMIC REASONS 77 10. HEALTH OF MANY PEOPLE ENDANGERED BECAUSE THEY CANNOT AFFORD PROPER CARE. STRENGTH OF A NATION IS THE HEALTH OF ITS PEOPLE 17 11. GOVERNMENT ONLY HOPE, ONLY SOURCE OF FUNDS 54 12. GOVERNMENT SHOULD HELP. PEOPLE HAVE A RIGHT TO PROTECTION 6 13. EVERYBODY SHOULD BE COVERED, ALL DOCTORS PUT UNDER PROGRAM. FULL PROGRAM OF MEDICAL CARE. NATIONALIZATION, SOCIALIZATION FAVORED 8 14. IT HAS WORKED IN OTHER COUNTRIES OR PLACES ASSISTANCE NEEDED BY PARTICULAR GROUPS 87 20. POOR PEOPLE 197 21. OLD PEOPLE 4 22. PEOPLE WITH MANY CHILDREN. FAMILIES IN PROCREATIVE STAGE OF LIFE CYCLE 6 23. PEOPLE UNABLE TO WORK: HANDICAPPED, CHRONICALLY ILL, ETC. 2 24. PEOPLE WHO ARE UNEMPLOYED BUT ABLE TO WORK IF JOBS AVAILABLE 99 25. PEOPLE WITH BAD DISEASES, HIGH BILLS. JUST PEOPLE WHO NEED HELP 30 28. OTHER GROUPS: WORKING CLASS, ETC. 29 29. COMBINATION OF GROUPS INCLUDING THOSE LISTED ABOVE MEDICAL CARE TOO HIGH 71 30. BLAMES HIGH COST ON DOCTORS, MONOPOLIZING THE FIELD 33 31. BLAMES IT ON HOSPITALS 7 32. BLAMES IT ON THE DRUG INDUSTRY 54 33. BLAMES ANY COMBINATION OF ABOVE. WHOLE MEDICAL WORLD, VAGUE RESPONSE 125 34. JUST STATES MEDICAL CARE TOO HIGH. PEOPLE CAN'T AFFORD IT 13 35. COMMERCIAL AND GROUP INSURANCE TOO HIGH. DOESN'T COVER ENOUGH PRO-CON DESPITE BASIC OPPOSITION TO GOVERNMENT INTERVENTION, ACCEPTS THE NECESSITY OF HELPING SPECIAL GROUPS 7 40. POOR PEOPLE 17 41. OLD PEOPLE 42. PEOPLE WITH MANY CHILDREN. FAMILIES IN PROCREATIVE STAGE OF LIFE CYCLE 1 43. PEOPLE UNABLE TO WORK: HANDICAPPED, CHRONICALLY ILL, ETC. 3 45. SPECIAL CASES - NO SPECIAL PERMANENT GROUP - WITH HIGH BILLS, BAD DISEASES 8 48. OTHER GROUPS WHO NEED ASSISTANCE 2 49. ANY COMBINATION OF ABOVE PRO-CON: FAVORS VOLUNTARY INSURANCE PROGRAMS 11 50. FAVORS ONLY VOLUNTARY PLANS: GROUP, EMPLOYEE, PROFESSIONAL OR UNION INSURANCE 7 51. ACCEPTS NEED FOR GOVERNMENT ASSISTANCE FOR SPECIAL CASES, INSURANCE PLAN FOR OTHERS 2 52. GOVERNMENT BACKED INSURANCE PLANS OPPOSES GOVERNMENT ASSISTANCE FEARS EFFECT ON MEDICAL PROFESSION: SIDES WITH THE PROFESSION 15 60. DOCTORS WILL BE LESS CAREFUL IN THEIR WORK, INCENTIVE GONE 5 61. DOCTORS HAVE TRAINED SELVES AT GREAT EXPENSE, DESERVE GOOD OR HIGH PAY 6 62. MEDICAL CARE IS NOT TOO EXPENSIVE. ALL COSTS HAVE GONE UP 6 63. R IS DOCTOR. HAS RELATIVES OR FRIENDS IN PROFESSION, TAKES THEIR VIEWS IN OPPOSITION TO GOVERNMENT CONTROL 3 64. INITIATIVE SHOULD COME FROM MEDICAL PROFESSION OPPOSITION FOR PERSONAL REASONS 14 70. RESENTS IDEA OF BEING TOLD WHERE TO GO FOR TREATMENT 6 71. FEARS SERVICE WILL DEGENERATE, TOO HEAVY BURDEN PLACED ON FACILITIES BY THOSE SEEKING NEEDLESS FREE SERVICE GENERALLY OPPOSED 86 80. FEARS EXCESSIVE GOVERNMENT CONTROL. ONE MORE STEP TOWARD SOCIALISM 22 81. INCREASE THE TAX BURDEN. TAXES TOO HIGH ALREADY 57 82. STIFLING INITIATIVE. PEOPLE DEPEND TOO MUCH ON GOVERNMENT. PEOPLE SHOULD HELP THEMSELVES 37 83. GOVERNMENT SHOULD NOT BE INVOLVED 16 84. GOVERNMENT SHOULD PLACE CONTROLS ON COSTS OF MEDICAL CARE. SHOULD BE CONCERNED WITH COST 3 85. GOVERNMENT ADMINISTRATION QUESTIONED: GRAFT, RED TAPE, ETC. 5 86. HASN'T WORKED IN OTHER COUNTRIES OR PLACES 20 87. PRESENT FACILITIES ADEQUATE 9 88. IS A LOCAL (STATE) PROBLEM AND SHOULD BE HANDLED AT THAT LEVEL 1205 91. INAP., CODED 5, 8, OR 9 IN REF.NO. 57 OR NO SECOND MENTION 47 97. OTHER 13 98. DON'T KNOW. OTHER VAGUE NON-CONTENT RESPONSE 38 99. NA ============================== VAR 620059B NAME-XRSNS GOVT MEDICAL AID COLUMNS 83 - 84 NUMERIC MD=GE 91 Q. 46B. (IF HAS OPINION ON FEDERAL MEDICAL AID) WHY DO YOU FEEL THIS WAY. ........................................................... CODED UP TO TWO MENTIONS; CONSISTENCY WITH REF.NO. 58 WAS NOT FORCED FAVORS GOVERNMENT ASSISTANCE GENERAL POLITICAL-SOCIAL-ECONOMIC REASONS 77 10. HEALTH OF MANY PEOPLE ENDANGERED BECAUSE THEY CANNOT AFFORD PROPER CARE. STRENGTH OF A NATION IS THE HEALTH OF ITS PEOPLE 17 11. GOVERNMENT ONLY HOPE, ONLY SOURCE OF FUNDS 54 12. GOVERNMENT SHOULD HELP. PEOPLE HAVE A RIGHT TO PROTECTION 6 13. EVERYBODY SHOULD BE COVERED, ALL DOCTORS PUT UNDER PROGRAM. FULL PROGRAM OF MEDICAL CARE. NATIONALIZATION, SOCIALIZATION FAVORED 8 14. IT HAS WORKED IN OTHER COUNTRIES OR PLACES ASSISTANCE NEEDED BY PARTICULAR GROUPS 87 20. POOR PEOPLE 197 21. OLD PEOPLE 4 22. PEOPLE WITH MANY CHILDREN. FAMILIES IN PROCREATIVE STAGE OF LIFE CYCLE 6 23. PEOPLE UNABLE TO WORK: HANDICAPPED, CHRONICALLY ILL, ETC. 2 24. PEOPLE WHO ARE UNEMPLOYED BUT ABLE TO WORK IF JOBS AVAILABLE 99 25. PEOPLE WITH BAD DISEASES, HIGH BILLS. JUST PEOPLE WHO NEED HELP 30 28. OTHER GROUPS: WORKING CLASS, ETC. 29 29. COMBINATION OF GROUPS INCLUDING THOSE LISTED ABOVE MEDICAL CARE TOO HIGH 71 30. BLAMES HIGH COST ON DOCTORS, MONOPOLIZING THE FIELD 33 31. BLAMES IT ON HOSPITALS 7 32. BLAMES IT ON THE DRUG INDUSTRY 54 33. BLAMES ANY COMBINATION OF ABOVE. WHOLE MEDICAL WORLD, VAGUE RESPONSE 125 34. JUST STATES MEDICAL CARE TOO HIGH. PEOPLE CAN'T AFFORD IT 13 35. COMMERCIAL AND GROUP INSURANCE TOO HIGH. DOESN'T COVER ENOUGH PRO-CON DESPITE BASIC OPPOSITION TO GOVERNMENT INTERVENTION, ACCEPTS THE NECESSITY OF HELPING SPECIAL GROUPS 7 40. POOR PEOPLE 17 41. OLD PEOPLE 42. PEOPLE WITH MANY CHILDREN. FAMILIES IN PROCREATIVE STAGE OF LIFE CYCLE 1 43. PEOPLE UNABLE TO WORK: HANDICAPPED, CHRONICALLY ILL, ETC. 3 45. SPECIAL CASES - NO SPECIAL PERMANENT GROUP - WITH HIGH BILLS, BAD DISEASES 8 48. OTHER GROUPS WHO NEED ASSISTANCE 2 49. ANY COMBINATION OF ABOVE PRO-CON: FAVORS VOLUNTARY INSURANCE PROGRAMS 11 50. FAVORS ONLY VOLUNTARY PLANS: GROUP, EMPLOYEE, PROFESSIONAL OR UNION INSURANCE 7 51. ACCEPTS NEED FOR GOVERNMENT ASSISTANCE FOR SPECIAL CASES, INSURANCE PLAN FOR OTHERS 2 52. GOVERNMENT BACKED INSURANCE PLANS OPPOSES GOVERNMENT ASSISTANCE FEARS EFFECT ON MEDICAL PROFESSION: SIDES WITH THE PROFESSION 15 60. DOCTORS WILL BE LESS CAREFUL IN THEIR WORK, INCENTIVE GONE 5 61. DOCTORS HAVE TRAINED SELVES AT GREAT EXPENSE, DESERVE GOOD OR HIGH PAY 6 62. MEDICAL CARE IS NOT TOO EXPENSIVE. ALL COSTS HAVE GONE UP 6 63. R IS DOCTOR. HAS RELATIVES OR FRIENDS IN PROFESSION, TAKES THEIR VIEWS IN OPPOSITION TO GOVERNMENT CONTROL 3 64. INITIATIVE SHOULD COME FROM MEDICAL PROFESSION OPPOSITION FOR PERSONAL REASONS 14 70. RESENTS IDEA OF BEING TOLD WHERE TO GO FOR TREATMENT 6 71. FEARS SERVICE WILL DEGENERATE, TOO HEAVY BURDEN PLACED ON FACILITIES BY THOSE SEEKING NEEDLESS FREE SERVICE GENERALLY OPPOSED 86 80. FEARS EXCESSIVE GOVERNMENT CONTROL. ONE MORE STEP TOWARD SOCIALISM 22 81. INCREASE THE TAX BURDEN. TAXES TOO HIGH ALREADY 57 82. STIFLING INITIATIVE. PEOPLE DEPEND TOO MUCH ON GOVERNMENT. PEOPLE SHOULD HELP THEMSELVES 37 83. GOVERNMENT SHOULD NOT BE INVOLVED 16 84. GOVERNMENT SHOULD PLACE CONTROLS ON COSTS OF MEDICAL CARE. SHOULD BE CONCERNED WITH COST 3 85. GOVERNMENT ADMINISTRATION QUESTIONED: GRAFT, RED TAPE, ETC. 5 86. HASN'T WORKED IN OTHER COUNTRIES OR PLACES 20 87. PRESENT FACILITIES ADEQUATE 9 88. IS A LOCAL (STATE) PROBLEM AND SHOULD BE HANDLED AT THAT LEVEL 1205 91. INAP., CODED 5, 8, OR 9 IN REF.NO. 57 OR NO SECOND MENTION 47 97. OTHER 13 98. DON'T KNOW. OTHER VAGUE NON-CONTENT RESPONSE 38 99. NA ============================== VAR 620060 NAME-XWCH PTY FVR MEDICAL AID COLUMNS 85 - 85 NUMERIC MD=0 OR GE 8 Q. 46C. (IF HAS AN OPINION ON FEDERAL MEDICAL AID) WHICH PARTY DO YOU THINK IS MORE LIKELY TO SEE TO IT THAT THE PEOPLE GET DOCTORS AND HOSPITAL CARE AT LOW COST, THE DEMOCRATS OR THE REPUBLICANS, OR WOULDN'T THERE BE ANY DIFFERENCE. ............................................................ 588 1. DEMOCRATS 316 3. NO DIFFERENCE 35 5. REPUBLICANS 156 8. DK 15 9. NA 187 0. INAP., CODED 5, 8, OR 9 IN REF.NO. 57 ============================== VAR 620061 NAME-OPIN ABT GOVT INTG SCHLS COLUMNS 86 - 86 NUMERIC MD=GE 8 Q. 47. HOW ABOUT THIS STATEMENT. "THE GOVERNMENT IN WASHINGTON SHOULD SEE TO IT THAT WHITE AND COLORED CHILDREN ARE ALLOWED TO GO TO THE SAME SCHOOLS." DO YOU HAVE AN OPINION ON THIS OR NOT. ........................................................... 1114 1. YES 176 5. NO 1 8. DK 6 9. NA ============================== VAR 620062 NAME-XSHLD GOVT INTG SCHOOLS COLUMNS 87 - 87 NUMERIC MD=0 OR GE 8 Q. 47A. (IF HAS OPINION ON FEDERALLY ENFORCED SCHOOL INTEGRATION) DO YOU AGREE THAT THE GOVERNMENT SHOULD DO THIS OR DO YOU THINK THE GOVERNMENT SHOULD NOT DO IT. ............................................................ 596 1. YES 33 2. YES, QUALIFIED 27 3. YES, BUT THERE SHOULD BE NO FORCE. MODERATE. GRADUAL 13 4. NO, QUALIFIED 404 5. NO 9 8. DK 32 9. NA 183 0. INAP., CODED 5, 8, OR 9 IN REF.NO. 61 ============================== VAR 620063 NAME-KNOW ABT GOVT AIR SAFETY COLUMNS 88 - 88 NUMERIC MD=GE 9 Q. T13. AS YOU MAY KNOW, THERE IS A BRANCH OF THE FEDERAL GOVERNMENT THAT WORKS ON PROBLEMS OF AIR SAFETY. DO YOU HAPPEN TO KNOW ANY OF THE THINGS THEY DO. .......................................................... 26 1. YES: NO DETAILS GIVEN, OR NA WHETHER 2-4 OR 5-6 73 2. YES: MENTIONS ACCIDENT INVESTIGATIONS 58 3. YES: MENTIONS AIR TRAFFIC CONTROL OR WORK TO IMPROVE AIR TRAFFIC CONTROL 33 4. YES: MENTIONS INSPECTION OF PLANES, EXAMINATIONS OF PILOTS 12 5. YES: MENTIONS OTHER RESEARCH OR DEVELOPMENT OF NEW TECHNIQUES OR EQUIPMENT 27 6. YES, OTHER MENTION 135 7. YES: COMBINATION OF TWO OR MORE OF THE ABOVE 920 8. NO, DK 13 9. NA ============================== VAR 620064 NAME-OCCUPATION OF HEAD COLUMNS 89 - 90 NUMERIC MD=99 Q. B1. IS (HEAD) WORKING NOW, UNEMPLOYED OR LAID OFF, RETIRED, OR WHAT. Q. B1A. (IF HEAD IS WORKING NOW) WHAT IS (HEAD'S) OCCUPATION. Q. B2. (IF HEAD IS UNEMPLOYED OR LAID OFF) WHAT KIND OF WORK DOES (HEAD) USUALLY DO. ............................................................ OCCUPATION OF HEAD OF HOUSEHOLD IF HEAD HAD TWO OR MORE JOBS, THE ONE AT WHICH HE SPENT THE MOST TIME WAS CODED. IF THIS WASN'T ASCERTAINED, THE ONE AT WHICH HE MADE THE MOST MONEY WAS CODED. IF HE WAS PRESENTLY UNEMPLOYED, LAID OFF, OR ON STRIKE, HIS OCCUPATION WHEN HE WAS AT WORK WAS CODED. IF RETIRED, HIS OCCUPATION WAS CODED AS RETIRED, '95'. IF HEAD IS A WIDOW OR A HOUSEWIFE AND HAD NO OTHER OCCUPATION, '96' WAS CODED. PROFESSIONAL, TECHNICAL AND KINDRED WORKERS (CENSUS '0--' AND '1--' SERIES) 15 01. ACCOUNTANTS AND AUDITORS (CODES 000) 24 03. TEACHERS - PRIMARY AND SECONDARY SCHOOL 14 04. TEACHERS - COLLEGE. SOCIAL SCIENTISTS. LIBRARIANS. PRINCIPALS 10 06. PHYSICIANS AND SURGEONS. DENTISTS 8 08. LAWYERS AND JUDGES (CODE 105) 9 10. OTHER MEDICAL AND PARAMEDICAL -- CHIROPRACTORS, OPTOMETRISTS, OSTEOPATHS, PHARMACISTS, VETERINARIANS, NURSES, THERAPISTS, AND HEALERS (CODES 022, 152, 153, 160, 194, 150, 151, 193) 32 11. ARCHITECTS, CHEMISTS, ENGINEERS, PHYSICAL AND BIOLOGICAL SCIENTISTS (CODES 013, 021, 080-085, 090-093, 140, 131) 26 12. TECHNICIANS: AIRPLANE PILOTS AND NAVIGATORS, DESIGNERS, DIETITIANS AND NUTRITIONISTS, DRAFTSMEN, FORESTERS AND CONSERVATIONISTS, FUNERAL DIRECTORS, EMBALMERS, PHOTOGRAPHERS, RADIO OPERATORS, SURVEYORS, TECHNICIANS (MEDICAL, DENTAL, TESTING, NOT ELSEWHERE CLASSIFIED) (CODES 012, 072, 073, 074, 103, 104, 161, 181, 185, 190-192) 12 13. 'PUBLIC ADVISORS': CLERGYMEN, EDITORS AND REPORTERS, FARM AND HOME MANAGEMENT ADVISORS, PERSONNEL AND LABOR RELATIONS WORKERS, RECREATION AND GROUP WORKERS, RELIGIOUS, SOCIAL AND WELFARE WORKERS (CODES 023, 075, 102, 153, 165, 170-171) 5 19. PROFESSIONAL, TECHNICAL AND KINDRED WORKERS NOT LISTED OR IMPLIED ABOVE, OR NA WHICH MANAGERS, OFFICIALS AND PROPRIETORS (CENSUS CODE - R, AND 250 TO 285) 46 21. SELF-EMPLOYED BUSINESSMEN: WHOLESALE AND RETAIL TRADES, AUTOMOTIVE AND MISCELLANEOUS REPAIR SERVICES, PERSONAL SERVICES, ENTERTAINMENT AND RECREATION SERVICES, TRANSPORTATION (CENSUS BUSINESS CODES 507-526, 606-696, F, 6, D, 816-849) 11 22. SELF-EMPLOYED BUSINESSMEN: FINANCE, INSURANCE AND REAL ESTATE. BUSINESS SERVICES (CENSUS BUSINESS CODES 706-736, 806-809) 23. SELF-EMPLOYED BUSINESSMEN: INDUSTRY TYPE NOT ASCERTAINED 25 24. SELF-EMPLOYED BUSINESSMEN: FORESTRY, FISHERIES, MINING, CONSTRUCTION, MANUFACTURING (CENSUS BUSINESS CODES 017, 018, 126, 136, 146, 156, C, 206-459, B, M) 2 25. WORKS FOR A PRIVATELY HELD CORPORATION OF WHICH HE IS A SUBSTANTIAL OWNER: WHOLESALE AND RETAIL TRADES, AUTOMOTIVE AND MISCELLANEOUS REPAIR SERVICES, PERSONAL SERVICES, ENTERTAINMENT AND RECREATION SERVICES, TRANSPORTATION (CENSUS BUSINESS CODES 507-526, 606-696, 816-849) 1 26. WORKS FOR A PRIVATELY HELD CORPORATION OF WHICH HE IS A SUBSTANTIAL OWNER: FINANCE, INSURANCE AND REAL ESTATE, BUSINESS SERVICES (CENSUS BUSINESS CODE 706-736, 806-809) 27. WORKS FOR A PRIVATELY HELD CORPORATION OF WHICH HE IS A SUBSTANTIAL OWNER: FORESTRY, FISHERIES, MINING, CONSTRUCTION, MANUFACTURING (CENSUS BUSINESS CODE 017, 018, 126, 136, 146, 156, C, 206- 459, B, M) 75 28. NON-SELF-EMPLOYED MANAGERS AND OFFICIALS, (INCLUDING FILLING STATION MANAGERS). (ALL IN THESE SERIES WHO ARE NOT SELF-EMPLOYED) 29. WORKS FOR A PRIVATELY HELD CORPORATION OF WHICH HE IS A SUBSTANTIAL OWNER: INDUSTRY TYPE NOT ASCERTAINED CLERICAL AND KINDRED WORKERS (CENSUS CODE - ALL Y, Z, AND 301 TO 360) 88 31. CLERICAL AND KINDRED WORKERS: AGENTS (NOT ELSEWHERE CLASSIFIED), LIBRARY ATTENDANTS AND ASSISTANTS, ATTENDANTS IN PHYSICIANS' AND DENTISTS' OFFICES, BANK TELLERS, CASHIERS, BILL AND ACCOUNT COLLECTORS, STENOGRAPHERS, TYPISTS AND SECRETARIES, TICKET, STATION, AND EXPRESS AGENTS, ETC. SALES WORKERS (CENSUS CODE - S, AND 380 TO 395) 69 35. RETAIL STORE SALESMEN AND SALES CLERKS, NEWSBOYS, HUCKSTERS AND PEDDLERS, TRAVELING SALESMEN, ADVERTISING AGENTS AND SALESMEN, INSURANCE SALESMEN, INSURANCE AGENTS AND BROKERS, ETC. CRAFTSMEN, FOREMEN AND KINDRED WORKERS (CENSUS CODE - Q, AND 401 TO 555) 11 41. SELF-EMPLOYED ARTISANS AND CRAFTSMEN (SOME 500'S) 34 42. FOREMEN AND SUPERVISORS (CENSUS CODE - 430) 133 48. OTHER CRAFTSMEN AND KINDRED WORKERS: ALL OTHER CENSUS 401-545, Q SERIES OCCUPATIONS OPERATIVES AND KINDRED WORKERS (CENSUS CODE - T, W, AND 601-721) 100 51. OPERATIVES WHO WORK IN FACTORIES, MINES, MILLS, AND OTHER LARGE ESTABLISHMENTS. APPRENTICES 48 52. OPERATIVES ENGAGED IN TRANSPORTATION INDUSTRIES (BUS DRIVERS, DELIVERYMEN, ETC.) 21 53. OTHER OPERATIVES AND KINDRED WORKERS NOT INCLUDED IN THE ABOVE SERVICE WORKERS (CENSUS CODE - P, 801 TO 803, 810 TO 890) 5 63. MEMBERS OF THE ARMED SERVICES: ENLISTED MEN. NA WHETHER ENLISTED OR OFFICER 4 64. MEMBERS OF THE ARMED SERVICES: OFFICERS (CENSUS CODE 555) 15 65. PRIVATE HOUSEHOLD WORKERS -- (CENSUS OCCUPATIONS 801, 802, 803, P) -- FOR FIREMEN, POLICEMEN, ETC., SEE CODE 67. 7 67. GOVERNMENT PROTECTIVE SERVICE WORKERS: FIREMEN, MARSHALS AND CONSTABLES, POLICEMEN AND BAILIFFS (CENSUS CODE 850-854) 50 68. OTHER SERVICE WORKERS: BARBERS, BEAUTICIANS AND MANICURISTS, BARTENDERS, BOARDING AND LODGING HOUSEKEEPERS, COUNTER AND FOUNTAIN WORKERS, HOUSEKEEPERS AND STEWARDS, WAITERS AND WAITRESSES, COOKS, MIDWIVES, PRACTICAL NURSES LABORERS (CENSUS CODE - U, V, AND 901 AND 905) 6 71. FARM LABORERS AND FOREMEN (CENSUS CODE 901, U, V, 905) 54 78. UNSKILLED LABORERS: NONFARM (ALL CENSUS 960-973, X SERIES OCCUPATIONS) FARMERS AND FARM MANAGERS (CENSUS CODE - N, AND 222) 37 81. FARMERS AND FARM MANAGERS (EXCEPT CODES 71 AND 82) 4 82. TENANT FARMERS AND SHARECROPPERS 89. FARMERS -- NA TYPE MISCELLANEOUS GROUPS 17 92. STUDENTS - REGARDLESS OF PRIOR WORK EXPERIENCE 94. NO OCCUPATION. HAS NEVER WORKED. RENTIER 183 95. RETIRED. RETIRED BUT WORKS A LITTLE 74 96. WIDOW. HOUSEWIFE 22 99. OCCUPATION NA ============================== VAR 620065 NAME-INDUSTRY OF HEAD COLUMNS 91 - 92 NUMERIC MD=99 Q. B1B. (IF HEAD IS WORKING NOW), Q. B2A. (IF HEAD IS UNEMPLOYED OR LAID OFF) WHAT KIND OF BUSINESS IS THAT IN. ......................................................... INDUSTRY OF HEAD OF HOUSEHOLD THE KIND OF BUSINESS, NOT THE OCCUPATION WAS CODED. IF MORE THAN ONE BUSINESS, THE ONE ASSOCIATED WITH THE OCCUPATION IN REF.NO. 64 WAS CODED 65 01. GOVERNMENT MEDICAL, HEALTH AND EDUCATIONAL SERVICES -- HOSPITALS, VISITING NURSES, PUBLIC SOCIAL WORK, ALL PUBLIC EDUCATION (PRIMARY, SECONDARY AND COLLEGE). NA WHETHER 86 OR 01 89 02. GOVERNMENT -- FEDERAL, STATE AND LOCAL GOVERNMENT EMPLOYEES, INCLUDING ALL RANKS (DOES NOT INCLUDE GOVERNMENT HOSPITALS OR SCHOOLS -- SEE CODE 01) 50 11. AGRICULTURE -- FARMING 5 12. FORESTRY AND FISHING -- AGRICULTURAL SERVICES SUCH AS COTTON GINNING, LOGGING, COMMERCIAL FISHING 17 21. MINING, EXTRACTING -- MINING, INCLUDING OIL WELLS, QUARRYING 186 31. MANUFACTURING, DURABLES -- LUMBER AND WOOD PRODUCTS, METAL PRODUCTS, MACHINERY, TRANSPORTATION EQUIPMENT 85 32. MANUFACTURING, NONDURABLES -- FOOD AND KINDRED PRODUCTS, TEXTILES AND APPAREL, PAPER AND RUBBER PRODUCTS 7 39. MANUFACTURING, NA WHETHER DURABLES OR NONDURABLES 91 41. CONSTRUCTION: BUILDING CONTRACTORS -- GENERAL PAINTING, CARPENTRY, PLUMBING, ETC. -- HIGHWAY AND BRIDGE CONTRACTORS 75 51. TRANSPORTATION, COMMUNICATIONS, AND UTILITIES -- TAXICABS, TRUCKING, EXPRESSING, WAREHOUSING, AIR AND WATER TRANSPORT, PETROLEUM CARRIER, FOOD LOCKERS, GAS OR ELECTRICITY, PIPELINES, WATER SERVICE, TELEPHONE, TELEGRAPH (ALSO RADIO POINT-TO- POINT COMMUNICATION SERVICES - I.E., TO DESIGNATED PERSONS) 101 61. RETAIL TRADE -- RETAIL STORES SELLING COMMODITIES, EATING AND DRINKING PLACES, GASOLINE SERVICE STATIONS, FUEL AND ICE RETAILING 38 62. WHOLESALE TRADE -- GRAIN ELEVATOR, LIVESTOCK DEALER, DISTRIBUTOR OF CONSTRUCTION EQUIPMENT, FOOD BROKER, BUSINESSES SELLING OFFICE EQUIPMENT, ETC., TO OTHER BUSINESSES, JUNK DEALER 12 69. TRADE, NA WHETHER RETAIL OR WHOLESALE 29 71. FINANCE, INSURANCE, REAL ESTATE -- BANK, FINANCE COMPANY, INSURANCE COMPANY, MANAGER OF OWN REAL ESTATE, REAL ESTATE COMPANY, STOCK BROKER 21 81. REPAIR SERVICES -- AUTO REPAIR AND SERVICE, WATCH, TYPEWRITER REPAIR, APPLIANCE REPAIRS, UPHOLSTERY AND FURNITURE REPAIR, BLACKSMITH (USED IF CLEAR THAT ONLY REPAIR WORK DONE, OTHERWISE CODED 61) 15 82. BUSINESS SERVICES -- ADVERTISING, ACCOUNTING SERVICE, EMPLOYMENT AGENCIES, PLACEMENT AND COUNSELING AGENCIES, COMMERCIAL PHOTOGRAPHY, BLUE- PRINTS, PARKING LOT, COMMERCIAL LAUNDRY 46 83. PERSONAL SERVICES -- SHOE REPAIR, LAUNDRY AND CLEANING, CLOTHING REPAIRS, PHOTO STUDIOS, TRAVEL AGENCIES, HOTELS, BARBER AND BEAUTY SHOPS, FUNERAL PARLORS 4 84. AMUSEMENT, RECREATION AND RELATED SERVICES -- THEATERS AND MOTION PICTURES, BANDS AND ORCHESTRAS, DANCE HALLS, SKATING RINKS, BOWLING ALLEYS, BOAT AND BICYCLE RENTALS, RADIO AND TELEVISION BROADCASTING (DO NOT INCLUDE MANUFACTURING PLANTS - CODE 31, OR RADIO POINT-TO- POINT SERVICES - CODE 51) 9 85. PRINTING, PUBLISHING AND ALLIED INDUSTRIES -- NEWSPAPERS, PERIODICALS, BOOKS, COMMERCIAL PRINTING 36 86. PROFESSIONAL AND RELATED SERVICES -- NONPROFIT MEMBERSHIP ORGANIZATIONS (CHURCH, ETC.), MEDICAL AND OTHER HEALTH SERVICES (PRIVATELY RUN), LEGAL SERVICES (DO NOT INCLUDE PERSONS EMPLOYED BY NON-LEGAL FIRMS), EDUCATIONAL SERVICES (PRIVATE ONLY), MUSEUMS, ART GALLERIES 316 99. DK; NA; INAP., CODED 92, 94, 95 OR 96 IN REF.NO. 64 ============================== VAR 620066 NAME-XHOW LONG HEAD UEMP NOW COLUMNS 93 - 93 NUMERIC MD=0 OR GE 9 Q. B2B. (IF HEAD UNEMPLOYED OR LAID OFF) HOW LONG HAS IT BEEN SINCE (HEAD) WORKED. ............................................................ 7 1. 1 - 2 WEEKS 8 2. 3 - 4 WEEKS. UNDER A MONTH 7 3. 5 - 8 WEEKS 2 4. 9 - 13 WEEKS 3 5. 14 - 26 WEEKS 2 6. 27 - 39 WEEKS 2 7. 40 - 52 WEEKS. ALL YEAR. A YEAR 4 8. OVER A YEAR 12 9. DK., NA. 1250 0. INAP., CODED 92, 94, 95 OR 96 IN REF.NO. 64 OR IS WORKING NOW ============================== VAR 620067 NAME-XHEAD WRK FOR SELF/OTHER COLUMNS 94 - 94 NUMERIC MD=0 OR GE 9 Q. B3. MOST OF THE TIME, DOES (HEAD) WORK FOR HIMSELF OR FOR SOMEONE ELSE. ......................................................... 170 1. SELF (INCLUDES ALL CODED 21-24 OR 41 IN REF.NO. 64) 847 2. SOMEONE ELSE 6 9. NA 274 0. INAP., CODED 92, 94, 95 OR 96 IN REF.NO. 64 ============================== VAR 620068 NAME-X# H.H EMPLOYERS-1950 ON COLUMNS 95 - 95 NUMERIC MD=0 OR GE 9 Q. B6. (IF HEAD WORKS FOR SOMEONE ELSE) COUNTING ONLY FULL-TIME JOBS, ABOUT HOW MANY DIFFERENT EMPLOYERS HAS (HEAD) WORKED FOR SINCE 1950. ............................................................ 384 1. ONLY 1 189 2. 2 118 3. 3 53 4. 4 64 5. 5-9 7 6. 10-14 9 7. 15+ 3 8. HAS ONLY WORKED AT PART-TIME JOBS 26 9. DK. NA 444 0. INAP., CODED 1 IN REF.NO. 67 OR CODED 92, 94, 95 OR 96 IN REF.NO. 64 ============================== VAR 620069 NAME-XHW PAY HERE FOR H.H OCC COLUMNS 96 - 96 NUMERIC MD=0 OR GE 8 Q. B9. (IF HEAD WORKS FOR SOMEONE ELSE) FOR SOMEONE IN (HEAD'S) LINE OF WORK, HOW DOES THE RATE OF PAY HERE IN ...(LABOR MARKET AREA)...COMPARE WITH OTHER PLACES. ....................................................... 83 1. MUCH BETTER HERE 112 2. BETTER HERE 363 3. ABOUT THE SAME HERE AS OTHER PLACES. BETTER THAN SOME, WORSE THAN OTHERS 167 4. WORSE HERE 24 5. MUCH WORSE HERE 71 8. DK 33 9. NA 444 0. INAP., CODED 1 IN REF.NO. 67 OR CODED 92, 94, 95 OR 96 IN REF.NO. 64 ============================== VAR 620070 NAME-XWORK HERE IN H.H OCC COLUMNS 97 - 97 NUMERIC MD=0 OR GE 8 Q. B10. (IF HEAD WORKS FOR SOMEONE ELSE) FOR SOMEONE IN (HEAD'S) LINE OF WORK, HOW MUCH WORK IS THERE AROUND HERE COMPARED TO OTHER PLACES. ......................................................... 91 1. MUCH MORE THAN OTHER PLACES 189 2. MORE THAN OTHER PLACES 326 3. ABOUT THE SAME AS OTHER PLACES. MORE THAN SOME, LESS THAN OTHERS 96 4. LESS THAN OTHER PLACES 38 5. MUCH LESS THAN OTHER PLACES 17 8. DK 96 9. NA 444 0. INAP., CODED 1 IN REF.NO. 67 OR CODED 92, 94, 95 OR 96 IN REF.NO. 64 ============================== VAR 620071 NAME-XHEAD'S EXPR WITH UEMP COLUMNS 98 - 98 NUMERIC MD=0 OR GE 6 Q. B12. (IF HEAD EMPLOYED BY SOMEONE ELSE) SOME PEOPLE ARE OUT OF WORK FOR A TIME EVERY YEAR, OTHERS ARE UNEMPLOYED EVERY FEW YEARS, AND STILL OTHERS ARE ALMOST NEVER UNEMPLOYED. WHAT HAS BEEN (HEAD'S) EXPERIENCE. ........................................................... 60 1. USUAL, EVERY YEAR, SEASONAL, ALMOST EVERY YEAR 11 2. HAPPENS EVERY FEW YEARS (HAS HAPPENED A FEW TIMES - THREE OR MORE) 24 3. UNUSUAL TO BE UNEMPLOYED FOR MORE THAN SHORT PERIOD. SHORT SPELLS ARE USUAL EVERY YEAR BUT NOT LONGER SPELLS OF A MONTH OR MORE 710 5. VERY UNUSUAL, UNUSUAL (HAS HAPPENED ONLY ONCE OR TWICE, NOT FOR MANY YEARS). WORK IS STEADY, NO UNEMPLOYMENT 3 6. ENTERED LABOR FORCE ONLY RECENTLY. WAS SELF- EMPLOYED UNTIL RECENTLY (WITHIN LAST TWO YEARS). ANY OTHER EVIDENCE OF NO EXPERIENCE 45 9. NA 444 0. INAP., CODED 1 IN REF.NO. 67 OR CODED 92, 94, 95 OR 96 IN REF.NO. 64 ============================== VAR 620072 NAME-XHEAD UEMP LAST 12 MNTHS COLUMNS 99 - 99 NUMERIC MD=0 OR GE 9 Q. B13A. (IF HEAD NOW EMPLOYED) WAS (HEAD) UNEMPLOYED OR LAID OFF AT ANY TIME IN THE LAST TWELVE MONTHS. ......................................................... 93 1. YES, SOME UNEMPLOYMENT IN THE LAST 12 MONTHS 878 5. NO, NO UNEMPLOYMENT IN THE LAST 12 MONTHS 13 9. DK, NA 313 0. INAP., CODED 92, 94, 95 OR 96 IN REF.NO. 64 OR HEAD IS CURRENTLY UNEMPLOYED ============================== VAR 620073 NAME-XWKS HEAD UEMP N LAST YR COLUMNS 100 - 100 NUMERIC MD=0 OR GE 8 Q. B14. (IF HEAD UNEMPLOYED NOW OR ANYTIME IN LAST TWELVE MONTHS) COUNTING ALL SPELLS OF UNEMPLOYMENT, HOW MANY WEEKS HAS (HEAD) BEEN UNEMPLOYED DURING THE LAST 12 MONTHS. ............................................................ 17 1. 1 - 2 WEEKS 19 2. 3 - 4 WEEKS. UNDER A MONTH 24 3. 5 - 8 WEEKS 22 4. 9 - 13 WEEKS 27 5. 14 - 26 WEEKS 11 6. 27 - 39 WEEKS 7 7. 40 OR MORE WEEKS. ALL YEAR 1 8. DK 4 9. NA 1165 0. INAP., CODED 5 OR 9 IN REF.NO. 72, OR CODED 92, 94, 95 OR 96 IN REF.NO. 64 ============================== VAR 620074A NAME-XREASON HEAD UNEMPLOYED COLUMNS 101 - 101 NUMERIC MD=0 OR GE 9 Q. B15. (IF HEAD UNEMPLOYED NOW OR ANYTIME IN LAST TWELVE MONTHS) UNEMPLOYMENT MAY BE DUE TO ILLNESS, OR STRIKES, OR NORMAL LAYOFFS DURING CERTAIN SEASONS OF THE YEAR, OR IT MAY HAPPEN BECAUSE THERE IS JUST NOT ENOUGH WORK AVAILABLE. WHAT IS THE REASON FOR (HEAD'S) UNEMPLOYMENT DURING THE PAST TWELVE MONTHS. ............................................................ UP TO TWO MENTIONS CODED 40 1. NOT ENOUGH WORK AVAILABLE. RECESSION, BAD TIMES 22 2. ILLNESS 4 3. STRIKES 38 4. SEASONAL LAYOFFS 4 5. SLACKENING DEMAND FOR A PARTICULAR PRODUCT 10 6. SPECIAL SITUATION IN HEAD'S COMPANY. COMPANY MOVED OR CLOSED DOWN 3 7. HEAD HAS SHORTCOMINGS MAKING IT HARD TO HOLD JOB. LASTING PHYSICAL IMPAIRMENT, OLD AGE 15 8. LOW PRIORITY: OTHER (INCLUDING DIDN'T WANT TO WORK, 9 9. DK, NA 2449 0. INAP., CODED 5 OR 9 IN REF.NO. 72, OR CODED 92, 94, 95 OR 96 IN REF.NO. 64; NO SECOND RESPONSE ============================== VAR 620074B NAME-XREASON HEAD UNEMPLOYED COLUMNS 102 - 102 NUMERIC MD=0 OR GE 9 Q. B15. (IF HEAD UNEMPLOYED NOW OR ANYTIME IN LAST TWELVE MONTHS) UNEMPLOYMENT MAY BE DUE TO ILLNESS, OR STRIKES, OR NORMAL LAYOFFS DURING CERTAIN SEASONS OF THE YEAR, OR IT MAY HAPPEN BECAUSE THERE IS JUST NOT ENOUGH WORK AVAILABLE. WHAT IS THE REASON FOR (HEAD'S) UNEMPLOYMENT DURING THE PAST TWELVE MONTHS. ............................................................ UP TO TWO MENTIONS CODED 40 1. NOT ENOUGH WORK AVAILABLE. RECESSION, BAD TIMES 22 2. ILLNESS 4 3. STRIKES 38 4. SEASONAL LAYOFFS 4 5. SLACKENING DEMAND FOR A PARTICULAR PRODUCT 10 6. SPECIAL SITUATION IN HEAD'S COMPANY. COMPANY MOVED OR CLOSED DOWN 3 7. HEAD HAS SHORTCOMINGS MAKING IT HARD TO HOLD JOB. LASTING PHYSICAL IMPAIRMENT, OLD AGE 15 8. LOW PRIORITY: OTHER (INCLUDING DIDN'T WANT TO WORK, 9 9. DK, NA 2449 0. INAP., CODED 5 OR 9 IN REF.NO. 72, OR CODED 92, 94, 95 OR 96 IN REF.NO. 64; NO SECOND RESPONSE ============================== VAR 620075 NAME-1962 GROSS FAMILY INCOME COLUMNS 103 - 103 NUMERIC MD=9 Q. B95. WOULD YOU TELL ME HOW MUCH INCOME YOU AND YOUR FAMILY WILL BE MAKING DURING THIS CALENDAR YEAR, 1962. I MEAN, BEFORE TAXES. ............................................................ 165 0. UNDER $2000 105 1. $2000-2999 96 2. $3000-3999 135 3. $4000-4999 166 4. $5000-5999 212 5. $6000-7499 161 6. $7500-9999 126 7. $10,000-14,999 63 8. $15,000 AND OVER 68 9. NA ============================== VAR 620076 NAME-EDUCATION OF HEAD COLUMNS 104 - 104 NUMERIC MD=9 Q. Y2. HOW MANY GRADES OF SCHOOL DID (HEAD) FINISH. Q. Y2A. (IF MORE THAN 8) HAS (HEAD) HAD ANY OTHER SCHOOLING. Q. Y2B. (IF YES) WHAT OTHER SCHOOLING HAS (HEAD) HAD. Q. Y2C. (IF YES TO Q. Y2A) DOES (HEAD) HAVE A COLLEGE DEGREE. ............................................................ 387 1. GRADE SCHOOL (1-8). NONE 170 2. SOME HIGH SCHOOL 72 3. SOME HIGH SCHOOL PLUS NONACADEMIC 196 4. COMPLETED HIGH SCHOOL 116 5. COMPLETED HIGH SCHOOL PLUS NONACADEMIC 173 6. SOME COLLEGE (PRIORITY OVER NONACADEMIC) 175 7. HAS COLLEGE DEGREE (PRIORITY OVER NONACADEMIC) 8 9. NA ============================== VAR 620077 NAME-MARITAL STATUS OF HEAD COLUMNS 105 - 105 NUMERIC MD=9 Q. Y3. WHAT IS (HEAD'S) MARITAL STATUS. ........................................ 1002 1. MARRIED 80 2. SINGLE 138 3. WIDOWED 40 4. DIVORCED 30 5. SEPARATED -- SPOUSE NOT LIVING IN DWELLING UNIT OF HEAD 7 9. NA ============================== VAR 620078 NAME-EDUCATION OF RESPONDENT COLUMNS 106 - 106 NUMERIC MD=9 Q. Y2. HOW MANY GRADES OF SCHOOL DID (WIFE/HEAD) FINISH. Q. Y2A. (IF MORE THAN 8) HAS (WIFE/HEAD) HAD ANY OTHER SCHOOLING. Q. Y2B. (IF YES) WHAT OTHER SCHOOLING HAS (WIFE/HEAD) HAD. Q. Y2C. (IF YES TO Q. Y2A) DOES (WIFE/HEAD) HAVE A COLLEGE DEGREE. ........................................................... EDUCATION OF RESPONDENT -- WHERE R IS HEAD, CODE IN REF.NO. 76 IS REPEATED HERE 359 1. GRADE SCHOOL (1-8). NONE 191 2. SOME HIGH SCHOOL 62 3. SOME HIGH SCHOOL PLUS NONACADEMIC 260 4. COMPLETED HIGH SCHOOL 109 5. COMPLETED HIGH SCHOOL PLUS NONACADEMIC 154 6. SOME COLLEGE (PRIORITY OVER NONACADEMIC) 156 7. HAS COLLEGE DEGREE (PRIORITY OVER NONACADEMIC) 6 9. NA ============================== VAR 620079 NAME-MARITAL STATUS OF R COLUMNS 107 - 107 NUMERIC MD=9 Q. Y3. WHAT IS (WIFE'S/HEAD'S) MARITAL STATUS. ............................................... MARITAL STATUS OF RESPONDENT -- WHERE R IS HEAD, CODE IN 1002 1. MARRIED 80 2. SINGLE 138 3. WIDOWED 40 4. DIVORCED 30 5. SEPARATED -- SPOUSE NOT LIVING IN DWELLING UNIT OF RESPONDENT 7 9. NA ============================== VAR 620080 NAME-OCCUPATION OF RESPONDENT COLUMNS 108 - 109 NUMERIC MD=99 OCCUPATION OF RESPONDENT WHEN R IS HEAD ....................................... WHERE R IS HEAD, CODE IN REF.NO. 64 IS REPEATED HERE IF R HAD TWO OR MORE JOBS, THE ONE AT WHICH HE SPENT THE MOST TIME WAS CODED. IF THIS WASN'T ASCERTAINED, THE ONE AT WHICH HE MADE THE MOST MONEY WAS CODED. IF HE WAS PRESENTLY UNEMPLOYED, LAID OFF, OR ON STRIKE, HIS OCCUPATION WHEN HE WAS AT WORK WAS CODED. IF RETIRED, HIS OCCUPATION WAS CODED AS RETIRED, '95'. PROFESSIONAL, TECHNICAL AND KINDRED WORKERS (CENSUS '0--' AND '1--' SERIES) 11 01. ACCOUNTANTS AND AUDITORS (CODES 000) 17 03. TEACHERS - PRIMARY AND SECONDARY SCHOOL 10 04. TEACHERS - COLLEGE. SOCIAL SCIENTISTS. LIBRARIANS. PRINCIPALS 6 06. PHYSICIANS AND SURGEONS. DENTISTS 4 08. LAWYERS AND JUDGES (CODE 105) 6 10. OTHER MEDICAL AND PARAMEDICAL -- CHIROPRACTORS, OPTOMETRISTS, OSTEOPATHS, PHARMACISTS, VETERINARIANS, NURSES, THERAPISTS, AND HEALERS (CODES 022, 152, 153, 160, 194, 150, 151, 193) 13 11. ARCHITECTS, CHEMISTS, ENGINEERS, PHYSICAL AND BIOLOGICAL SCIENTISTS (CODES 013, 021, 080-085, 090-093, 140, 131) 10 12. TECHNICIANS: AIRPLANE PILOTS AND NAVIGATORS, DESIGNERS, DIETITIANS AND NUTRITIONISTS, DRAFTSMEN, FORESTERS AND CONSERVATIONISTS, FUNERAL DIRECTORS, EMBALMERS, PHOTOGRAPHERS, RADIO OPERATORS, SURVEYORS, TECHNICIANS (MEDICAL, DENTAL, TESTING, NOT ELSEWHERE CLASSIFIED) (CODES 012, 072, 073, 074, 103, 104, 161, 181, 185, 190-192) 7 13. 'PUBLIC ADVISORS': CLERGYMEN, EDITORS AND REPORTERS, FARM AND HOME MANAGEMENT ADVISORS, PERSONNEL AND LABOR RELATIONS WORKERS, RECREATION AND GROUP WORKERS, RELIGIOUS, SOCIAL AND WELFARE WORKERS (CODES 023, 075, 102, 153, 165, 170-171) 1 19. PROFESSIONAL, TECHNICAL AND KINDRED WORKERS NOT LISTED OR IMPLIED ABOVE MANAGERS, OFFICIALS AND PROPRIETORS (CENSUS CODE - R, AND 250 TO 285) 25 21. SELF-EMPLOYED BUSINESSMEN: WHOLESALE AND RETAIL TRADES, AUTOMOTIVE AND MISCELLANEOUS REPAIR SERVICES, PERSONAL SERVICES, ENTERTAINMENT AND RECREATION SERVICES, TRANSPORTATION (CENSUS BUSINESS CODES 507-526, 606-696, F, 6, D, 816-849) 6 22. SELF-EMPLOYED BUSINESSMEN: FINANCE, INSURANCE AND REAL ESTATE. BUSINESS SERVICES (CENSUS BUSINESS CODES 706-736, 806-809) 23. SELF-EMPLOYED BUSINESSMEN: INDUSTRY TYPE NOT ASCERTAINED 14 24. SELF-EMPLOYED BUSINESSMEN: FORESTRY, FISHERIES, MINING, CONSTRUCTION, MANUFACTURING (CENSUS BUSINESS CODES 017, 018, 126, 136, 146, 156, C, 206-459, B, M) 1 25. WORKS FOR A PRIVATELY HELD CORPORATION OF WHICH HE IS A SUBSTANTIAL OWNER: WHOLESALE AND RETAIL TRADES, AUTOMOTIVE AND MISCELLANEOUS REPAIR SERVICES, PERSONAL SERVICES, ENTERTAINMENT AND RECREATION SERVICES, TRANSPORTATION (CENSUS BUSINESS CODES 507-526, 606-696, 816-849) 1 26. WORKS FOR A PRIVATELY HELD CORPORATION OF WHICH HE IS A SUBSTANTIAL OWNER: FINANCE, INSURANCE AND REAL ESTATE, BUSINESS SERVICES (CENSUS BUSINESS CODE 706-736, 806-809) 27. WORKS FOR A PRIVATELY HELD CORPORATION OF WHICH HE IS A SUBSTANTIAL OWNER: FORESTRY, FISHERIES, MINING, CONSTRUCTION, MANUFACTURING (CENSUS BUSINESS CODE 017, 018, 126, 136, 146, 156, C, 206- 459, B, M) 43 28. NON-SELF-EMPLOYED MANAGERS AND OFFICIALS, (INCLUDING FILLING STATION MANAGERS). (ALL IN THESE SERIES WHO ARE NOT SELF-EMPLOYED) 29. WORKS FOR A PRIVATELY HELD CORPORATION OF WHICH HE IS A SUBSTANTIAL OWNER: INDUSTRY TYPE NOT ASCERTAINED CLERICAL AND KINDRED WORKERS (CENSUS CODE - ALL Y, Z, AND 301 TO 360) 67 31. CLERICAL AND KINDRED WORKERS: AGENTS (NOT ELSEWHERE CLASSIFIED), LIBRARY ATTENDANTS AND ASSISTANTS, ATTENDANTS IN PHYSICIANS' AND DENTISTS' OFFICES, BANK TELLERS, CASHIERS, BILL AND ACCOUNT COLLECTORS, STENOGRAPHERS, TYPISTS AND SECRETARIES, TICKET, STATION, AND EXPRESS AGENTS, ETC. SALES WORKERS (CENSUS CODE - S, AND 380 TO 395) 35 35. RETAIL STORE SALESMEN AND SALES CLERKS, NEWSBOYS, HUCKSTERS AND PEDDLERS, TRAVELING SALESMEN, ADVERTISING AGENTS AND SALESMEN, INSURANCE SALESMEN, INSURANCE AGENTS AND BROKERS, ETC. CRAFTSMEN, FOREMEN AND KINDRED WORKERS (CENSUS CODE - Q, AND 401 TO 555) 5 41. SELF-EMPLOYED ARTISANS AND CRAFTSMEN (SOME 500'S) 18 42. FOREMEN AND SUPERVISORS (CENSUS CODE - 430) 71 48. OTHER CRAFTSMEN AND KINDRED WORKERS: ALL OTHER CENSUS 401-545, Q SERIES OCCUPATIONS OPERATIVES AND KINDRED WORKERS (CENSUS CODE - T, W, AND 601-721) 53 51. OPERATIVES WHO WORK IN FACTORIES, MINES, MILLS, AND OTHER LARGE ESTABLISHMENTS. APPRENTICES 24 52. OPERATIVES ENGAGED IN TRANSPORTATION INDUSTRIES (BUS DRIVERS, DELIVERYMEN, ETC.) 16 53. OTHER OPERATIVES AND KINDRED WORKERS NOT INCLUDED IN THE ABOVE SERVICE WORKERS (CENSUS CODE - P, 801 TO 803, 810 TO 890) 2 63. MEMBERS OF THE ARMED SERVICES: ENLISTED MEN. NA WHETHER ENLISTED OR OFFICER 2 64. MEMBERS OF THE ARMED SERVICES: OFFICERS (CENSUS CODE 555) 14 65. PRIVATE HOUSEHOLD WORKERS -- (CENSUS OCCUPATIONS 801, 802, 803, P) -- FOR FIREMEN, POLICEMEN, ETC., SEE CODE 67. 4 67. GOVERNMENT PROTECTIVE SERVICE WORKERS: FIREMEN, MARSHALS AND CONSTABLES, POLICEMEN AND BAILIFFS (CENSUS CODE 850-854) 38 68. OTHER SERVICE WORKERS: BARBERS, BEAUTICIANS AND MANICURISTS, BARTENDERS, BOARDING AND LODGING HOUSEKEEPERS, COUNTER AND FOUNTAIN WORKERS, HOUSEKEEPERS AND STEWARDS, WAITERS AND WAITRESSES, COOKS, MIDWIVES, PRACTICAL NURSES LABORERS (CENSUS CODE - U, V, AND 901 AND 905) 5 71. FARM LABORERS AND FOREMEN (CENSUS CODE 901, U, V, 905) 30 78. UNSKILLED LABORERS: NONFARM (ALL CENSUS 960-973, X SERIES OCCUPATIONS) FARMERS AND FARM MANAGERS (CENSUS CODE - N, AND 222) 22 81. FARMERS AND FARM MANAGERS (EXCEPT CODES 71 AND 82) 3 82. TENANT FARMERS AND SHARECROPPERS 89. FARMERS -- NA TYPE MISCELLANEOUS GROUPS 14 92. STUDENTS - REGARDLESS OF PRIOR WORK EXPERIENCE 94. NO OCCUPATION. HAS NEVER WORKED. RENTIER 114 95. RETIRED. RETIRED BUT WORKS A LITTLE 74 96. WIDOW. HOUSEWIFE 505 97. RESPONDENT IS WIFE OF HEAD 6 99. OCCUPATION NA ============================== VAR 620081 NAME-INDUSTRY OF RESPONDENT COLUMNS 110 - 111 NUMERIC MD=99 INDUSTRY OF RESPONDENT WHEN R IS HEAD ..................................... WHERE R IS HEAD, CODE IN REF.NO. 65 IS REPEATED HERE THE KIND OF BUSINESS, NOT THE OCCUPATION WAS CODED. IF MORE THAN ONE BUSINESS, THE ONE ASSOCIATED WITH THE OCCUPATION IN REF.NO. 80 WAS CODED 44 01. GOVERNMENT MEDICAL, HEALTH AND EDUCATIONAL SERVICES -- HOSPITALS, VISITING NURSES, PUBLIC SOCIAL WORK, ALL PUBLIC EDUCATION (PRIMARY, SECONDARY AND COLLEGE). NA WHETHER 86 OR 01 50 02. GOVERNMENT -- FEDERAL, STATE AND LOCAL GOVERNMENT EMPLOYEES, INCLUDING ALL RANKS (DOES NOT INCLUDE GOVERNMENT HOSPITALS OR SCHOOLS -- SEE CODE 01) 31 11. AGRICULTURE -- FARMING 2 12. FORESTRY AND FISHING -- AGRICULTURAL SERVICES SUCH AS COTTON GINNING, LOGGING, COMMERCIAL FISHING 12 21. MINING, EXTRACTING -- MINING, INCLUDING OIL WELLS, QUARRYING 91 31. MANUFACTURING, DURABLES -- LUMBER AND WOOD PRODUCTS, METAL PRODUCTS, MACHINERY, TRANSPORTATION EQUIPMENT 56 32. MANUFACTURING, NONDURABLES -- FOOD AND KINDRED PRODUCTS, TEXTILES AND APPAREL, PAPER AND RUBBER PRODUCTS 3 39. MANUFACTURING, NA WHETHER DURABLES OR NONDURABLES 54 41. CONSTRUCTION: BUILDING CONTRACTORS -- GENERAL PAINTING, CARPENTRY, PLUMBING, ETC. -- HIGHWAY AND FURNITURE REPAIR, BLACKSMITH (USED IF CLEAR THAT ONLY REPAIR WORK DONE, OTHERWISE CODED 61) 38 51. TRANSPORTATION, COMMUNICATIONS, AND UTILITIES -- TAXICABS, TRUCKING, EXPRESSING, WAREHOUSING, AIR AND WATER TRANSPORT, PETROLEUM CARRIER, FOOD LOCKERS, GAS OR ELECTRICITY, PIPELINES, WATER SERVICE, TELEPHONE, TELEGRAPH (ALSO RADIO POINT-TO- POINT COMMUNICATION SERVICES - I.E., TO DESIGNATED PERSONS) 59 61. RETAIL TRADE -- RETAIL STORES SELLING COMMODITIES, EATING AND DRINKING PLACES, GASOLINE SERVICE STATIONS, FUEL AND ICE RETAILING 22 62. WHOLESALE TRADE -- GRAIN ELEVATOR, LIVESTOCK DEALER, DISTRIBUTOR OF CONSTRUCTION EQUIPMENT, FOOD BROKER, BUSINESSES SELLING OFFICE EQUIPMENT, ETC., TO OTHER BUSINESSES, JUNK DEALER 8 69. TRADE, NA WHETHER RETAIL OR WHOLESALE 18 71. FINANCE, INSURANCE, REAL ESTATE -- BANK, FINANCE COMPANY, INSURANCE COMPANY, MANAGER OF OWN REAL ESTATE, REAL ESTATE COMPANY, STOCK BROKER 11 81. REPAIR SERVICES -- AUTO REPAIR&AND SERVICE, WATCH, TYPEWRITER REPAIR, APPLIANCE REPAIRS, UPHOLSTERY AND 9 82. BUSINESS SERVICES -- ADVERTISING, ACCOUNTING SERVICE, EMPLOYMENT AGENCIES, PLACEMENT AND COUNSELING AGENCIES, COMMERCIAL PHOTOGRAPHY, BLUE- PRINTS, PARKING LOT, COMMERCIAL LAUNDRY 34 83. PERSONAL SERVICES -- SHOE REPAIR, LAUNDRY AND CLEANING, CLOTHING REPAIRS, PHOTO STUDIOS, TRAVEL AGENCIES, HOTELS, BARBER AND BEAUTY SHOPS, FUNERAL PARLORS 84. AMUSEMENT, RECREATION AND rELATED bERVICES -- THEATERS AND MOTION PICTURES, BANDS AND ORCHESTRAS, DANCE HALLS, SKATING RINKS, BOWLING ALLEYS, BOAT AND BICYCLE RENTALS, RADIO AND TELEVISION BROADCASTING (DO NOT INCLUDE MANUFACTURING PLANTS - CODE 31, OR RADIO POINT-TO- POINT SERVICES - CODE 51) 5 85. PRINTING, PUBLISHING AND ALLIED INDUSTRIES -- NEWSPAPERS, PERIODICALS, BOOKS, COMMERCIAL PRINTING 25 86. PROFESSIONAL AND RELATED SERVICES -- NONPROFIT MEMBERSHIP ORGANIZATIONS (CHURCH, ETC.), MEDICAL AND OTHER HEALTH SERVICES (PRIVATELY RUN), LEGAL SERVICES (DO NOT INCLUDE PERSONS EMPLOYED BY NON-LEGAL FIRMS), EDUCATIONAL SERVICES (PRIVATE ONLY), MUSEUMS, ART GALLERIES 725 99. DK; NA; INAP., CODED 92, 94, 95, 96 OR 97 IN ============================== VAR 620082 NAME-XR WORK FOR SELF/OTHER COLUMNS 112 - 112 NUMERIC MD=0 OR GE 9 MOST OF THE TIME, DOES RESPONDENT WORK FOR HIMSELF OR FOR SOMEONE ELSE. ......................................................... WHERE R IS HEAD, THE CODE IN REF.NO. 67 IS REPEATED HERE 94 1. SELF (INCLUDES ALL CODED 21-24 OR 41 IN REF.NO. 80) 496 2. SOMEONE ELSE 9. NA 707 0. INAP., CODED 92, 94, 95, 96 OR 97 IN REF.NO. 80 ============================== VAR 620083 NAME-X# CHLDN (WIFE) EVER HAD COLUMNS 113 - 114 NUMERIC MD=GE 91 Q. Y12. (IF R IS FEMALE, LIVING WITH SPOUSE AND UNDER AGE 40) HOW MANY CHILDREN HAVE YOU HAD ALTOGETHER, COUNTING ANY THAT AREN'T LIVING NOW (OR, BY A PREVIOUS MARRIAGE). Q. Y24. (IF R IS MALE, LIVING WITH SPOUSE AND WIFE IS UNDER AGE 40) HOW MANY CHILDREN HAVE YOU AND YOUR WIFE HAD, COUNTING ANY THAT AREN'T LIVING NOW. Q. Y25. (IF WIFE MARRIED BEFORE) HAS YOUR WIFE HAD ANY CHILDREN BY HER FORMER MARRIAGE. Q. Y26. (IF YES) HOW MANY. ............................................................ THE NUMBER GIVEN IN ANSWER TO Q. Y12, OR THE TOTAL NUMBER GIVEN IN ANSWER TO BOTH Q. Y24 AND Q. Y26 WAS CODED, EXCLUDING ADOPTED CHILDREN TOTAL NUMBER OF CHILDREN WIFE HAS HAD 45 00. NONE 60 01. ONE 126 02. TWO 101 03. THREE 49 04. FOUR 36 05. FIVE 7 06. SIX 9 07. SEVEN 3 08. EIGHT 1 09. NINE 1 10. TEN 1 11. ELEVEN 855 91. INAP., R (OR WIFE OF R WHERE R IS HEAD) NOT UNDER AGE 40, OR R NOT MARRIED AND LIVING WITH SPOUSE 3 99. NA ============================== VAR 620084 NAME-XHOW MANY CHLDN YOU XPCT COLUMNS 115 - 116 NUMERIC MD=GE 91 Q. Y13, Y27. (IF R IS MARRIED AND LIVING WITH SPOUSE, WIFE UNDER 40) HOW MANY MORE CHILDREN DO YOU EXPECT TO HAVE (YOU AND YOUR WIFE WILL HAVE)-IN ADDITION TO THOSE YOU ALREADY HAVE. ........................................................... IF A RANGE WAS GIVEN, THE MINIMUM NUMBER EXPECTED WAS CODED AS THE FIRST DIGIT AND THE MAXIMUM NUMBER EXPECTED AS THE SECOND DIGIT. IF ONLY ONE NUMBER WAS GIVEN THIS NUMBER WAS CODED AS BOTH THE FIRST AND THE SECOND DIGIT. ANY ADOPTIONS EXPECTED WERE EXCLUDED 259 00. NONE 51 11. ONE 7 12. ONE OR TWO 39 22. TWO 4 23. TWO OR THREE 19 33. THREE 5 44. FOUR 1 55. FIVE 1 66. SIX 88. EIGHT OR MORE 855 91. INAP., R (OR WIFE OF R WHERE R IS HEAD) NOT UNDER AGE 40, OR R NOT MARRIED AND LIVING WITH SPOUSE 92. AS MANY AS POSSIBLE 40 93. (PRIORITY OVER 92) AS MANY AS GOD WILLS, UP TO FATE, DON'T KNOW, ETC. 11 98. DEPENDS 5 99. NA ============================== VAR 620085 NAME-XNMBR CHLDN LIKELY HAVE COLUMNS 117 - 118 NUMERIC MD=GE 91 Q. Y14, Y28. (IF CODED 93 IN REF.NO. 84) MANY PEOPLE FEEL AS YOU DO AND ACCEPT WHAT COMES, BUT STILL THEY HAVE AN IDEA OF WHAT IS LIKELY TO HAPPEN. Q. Y15, Y29. (IF CODED 93 OR 98 IN REF.NO. 84) AS YOU THINK THINGS WILL TURN OUT FOR YOUR FAMILY, HOW MANY (MORE) CHILDREN DO YOU THINK YOU ARE LIKELY TO HAVE. ............................................................ IF A RANGE WAS GIVEN, THE MINIMUM NUMBER EXPECTED WAS CODED AS THE FIRST DIGIT AND THE MAXIMUM NUMBER EXPECTED AS THE SECOND DIGIT. IF A NUMBER WAS MENTIONED, IT WAS GIVEN PRIORITY OVER DK 6 00. NONE 6 11. ONE 2 12. ONE OR TWO 8 22. TWO 1 23. TWO OR THREE 1 33. THREE 1 34. THREE OR FOUR 1 45. FOUR OR FIVE 1 88. EIGHT OR MORE 1241 91. INAP., R (OR WIFE OF R WHERE R IS HEAD) NOT UNDER AGE 40, R NOT MARRIED AND LIVING WITH SPOUSE, OR 'NONE' OR A NUMBER WAS GIVEN IN REF.NO. 84 92. AS MANY AS POSSIBLE 24 93. CAN'T OR WON'T SAY, AS MANY AS GOD WILLS, DON'T KNOW, ETC. 98. DEPENDS 5 99. NA ============================== VAR 620086 NAME-XNMBR YRS BFR NEXT CHILD COLUMNS 119 - 120 NUMERIC MD=GE 91 Q. Y16, Y30. (IF EXPECTS (MORE) CHILDREN) WHEN DO YOU THINK YOU AND YOUR HUSBAND (WIFE) WILL PROBABLY NAVE YOUR (NEXT) CHILD - IN HOW MANY MONTHS AND YEARS. ............................................................ ANSWER CODED IN YEARS; IF A RANGE WAS GIVEN, THE MIDPOINT WAS CODED 31 00. PRIORITY: PREGNANT NOW 40 01. LESS THAN 2 YEARS 39 02. 2.0 - 2.9 YEARS 5 03. 3.0 - 3.9 YEARS 3 04. 4.0 - 4.9 YEARS 4 05. 5.0 - 5.9 YEARS 2 06. 6.0 - 6.9 YEARS 1144 91. INAP., DOESN'T EXPECT ANY MORE CHILDREN, OR CAN'T OR WON'T SAY; R (OR WIFE WHERE R IS HEAD) NOT UNDER AGE 40, OR R NOT MARRIED AND LIVING WITH SPOUSE 24 93. UP TO GOD, DON'T KNOW, AS SOON AS POSSIBLE, ETC. 98. DEPENDS 5 99. NA ============================== VAR 620087 NAME-XNMBR YRS BFR FINISH FAM COLUMNS 121 - 122 NUMERIC MD=GE 91 Q. Y17, Y31. (IF EXPECTS TWO OR MORE ADDITIONAL CHILDREN) HOW MANY YEARS DO YOU THINK IT WILL BE BEFORE YOU AND YOUR HUSBAND (WIFE) FINISH HAVING ALL YOUR ADDITIONAL CHILDREN. ............................................................ ANSWER CODED IN YEARS; IF A RANGE WAS GIVEN, THE MIDPOINT WAS CODED 01. LESS THAN 2 YEARS 02. 2.0 - 2.9 YEARS 6 03. 3.0 - 3.9 YEARS 16 04. 4.0 - 4.9 YEARS 11 05. 5.0 - 5.9 YEARS 11 06. 6.0 - 6.9 YEARS 6 07. 7.0 - 7.9 YEARS 4 08. 8.0 - 8.9 YEARS 2 09. 9.0 - 9.9 YEARS 8 10. 10.0 - 10.9 YEARS 3 12. 12.0 - 12.9 YEARS 2 15. 15.0 - 15.9 YEARS 2 20. 20.0 - 20.9 YEARS 1201 91. INAP., EXPECTS FEWER THAN 2 MORE CHILDREN (CODED 00 OR 11 IN REF.NO. 84 OR 00, 11 OR 93 IN REF.NO. 85) R (OR WIFE IF R IS HEAD) NOT UNDER 40, OR R IS NOT MARRIED AND LIVING WITH SPOUSE 15 93. UP TO GOD, DON'T KNOW, ETC. 3 98. DEPENDS 7 99. NA ============================== VAR 620088 NAME-# CHLDN UNDER 18 IN FAM COLUMNS 123 - 123 NUMERIC MD=9 Q. Y33. HOW MANY CHILDREN UNDER 18 ARE THERE IN YOUR FAMILY. ............................................................ 639 0. NONE 193 1. ONE 188 2. TWO 138 3. THREE 71 4. FOUR 38 5. FIVE 14 6. SIX 7 7. SEVEN 6 8. EIGHT OR MORE 3 9. NA ============================== VAR 620089 NAME-XAGE OF YOUNGEST CHILD COLUMNS 124 - 124 NUMERIC MD=0 OR GE 9 Q. Y33A. (IF ANY CHILDREN IN FAMILY) WHAT IS THE AGE OF YOUR YOUNGEST CHILD. ............................................................ 117 1. 1-1/2 YEARS OR LESS 71 2. OVER 1-1/2 YEARS UP TO AND INCLUDING 2-1/2 57 3. OVER 2-1/2 YEARS UP TO AND INCLUDING 3-1/2 49 4. OVER 3-1/2 YEARS UP TO AND INCLUDING 4-1/2 45 5. OVER 4-1/2 YEARS UP TO AND INCLUDING 5-1/2 146 6. OVER 5-1/2 YEARS UP TO AND INCLUDING 10-1/2 105 7. OVER 10-1/2 YEARS UP TO AND INCLUDING 14-1/2 64 8. OVER 14-1/2 YEARS 4 9. NA 639 0. INAP., NO CHILDREN (CODED 0 IN REF.NO. 88) ============================== VAR 620090 NAME-NMBR CHLDN IN CMNTY SCHL COLUMNS 125 - 125 NUMERIC MD=9 Q. Y33B. (IF ANY CHILDREN IN FAMILY) HOW MANY OF THE CHILDREN GO TO SCHOOL HERE IN (NAME OF COMMUNITY). ............................................................ 766 0. NONE 198 1. ONE 168 2. TWO 102 3. THREE 40 4. FOUR 12 5. FIVE 3 6. SIX 7. SEVEN 2 8. EIGHT OR MORE 6 9. NA ============================== VAR 620091 NAME-IS R MIDDLE/WORKING CLS COLUMNS 126 - 126 NUMERIC MD=9 Q. Y34. THERE'S QUITE A BIT OF TALK THESE DAYS ABOUT DIFFERENT SOCIAL CLASSES. MOST PEOPLE SAY THEY BELONG EITHER TO THE MIDDLE CLASS OR TO THE WORKING CLASS. DO YOU EVER THINK OF YOURSELF AS BEING IN ONE OF THESE CLASSES. ........................................................... 792 1. YES 495 5. NO 10 9. DK, NA ============================== VAR 620092 NAME-XR'S SCL CLS & UPPER/LOW COLUMNS 127 - 127 NUMERIC MD=0 OR GE 8 Q. Y34A. (IF MIDDLE OR WORKING CLASS) WHICH ONE. Q. Y34B. WOULD YOU SAY THAT YOU ARE ABOUT AN AVERAGE (CLASS SELECTED) PERSON OR THAT YOU ARE IN THE UPPER PART OF THE (CLASS SELECTED). ............................................................ 69 1. UPPER PART - MIDDLE CLASS 213 2. AVERAGE - MIDDLE CLASS 66 3. UPPER PART - WORKING CLASS 381 4. AVERAGE - WORKING CLASS 2 8. DK, REFUSED TO ANSWER 61 9. NA 505 0. INAP., CODED 5 OR 9 IN REF.NO. 91 ============================== VAR 620093 NAME-R'S RELIGIOUS PREFERENCE COLUMNS 128 - 128 NUMERIC MD=9 Q. Y35. IS YOUR RELIGIOUS PREFERENCE PROTESTANT, CATHOLIC, OR JEWISH. ........................................................... 23 0. NONE 952 1. PROTESTANT 261 2. CATHOLIC 44 3. JEWISH 15 4. OTHER 2 9. NA ============================== VAR 620094 NAME-R GO TO CHURCH REGULARLY COLUMNS 129 - 129 NUMERIC MD=9 Q. Y35A. WOULD YOU SAY YOU GO TO CHURCH REGULARLY, OFTEN, SELDOM, OR NEVER. .......................................................... 573 1. REGULARLY 209 2. OFTEN 402 3. SELDOM 102 5. NEVER 11 9. NA ============================== VAR 620095 NAME-WERE YOU BORN IN USA COLUMNS 130 - 130 NUMERIC NO MISSING DATA CODES Q. Y36. WERE YOU BORN IN THE UNITED STATES. ............................................ 1212 1. YES 85 5. NO ============================== VAR 620096 NAME-XARE YOU USA CITIZEN COLUMNS 131 - 131 NUMERIC MD=0 Q. Y36A. (IF FOREIGN BORN) ARE YOU A UNITED STATES CITIZEN. ............................................................ 85 1. YES 1212 0. INAP., CODED 1 IN REF.NO. 95 ============================== VAR 620097 NAME-RACE OF RESPONDENT COLUMNS 132 - 132 NUMERIC MD=9 Q. Y37. RACE OF RESPONDENT ........................... 1175 1. WHITE 111 2. NEGRO 10 5. OTHER, INCLUDING MEXICANS, PUERTO RICANS 1 9. NA ============================== VAR 620098 NAME-SEX OF RESPONDENT COLUMNS 133 - 133 NUMERIC NO MISSING DATA CODES Q. Y38. SEX OF RESPONDENT .......................... 583 1. MALE 714 2. FEMALE ============================== VAR 620099 NAME-TYPE OF LIVING STRUCTURE COLUMNS 134 - 134 NUMERIC MD=GE 7 Q. Y39. TYPE OF STRUCTURE IN WHICH RESPONDENT LIVES .................................................... 976 1. DETACHED SINGLE FAMILY HOUSE 30 2. APARTMENT IN A PARTLY COMMERCIAL STRUCTURE 97 3. APARTMENT HOUSE (5 OR MORE UNITS) 170 4. DETACHED 2-4 FAMILY HOUSE, OR ROW HOUSE 17 5. TRAILER 3 7. OTHER 4 9. NA ============================== VAR 620100A NAME-DESCRIPTION OF R'S NBRHD COLUMNS 135 - 135 NUMERIC MD=0 OR GE 8 Q. Y40. DESCRIPTION OF NEIGHBORHOOD (BASED ON THE FIRST 3 STRUCTURES WITHIN 100 YARDS OF DU) .......................................................... UP TO THREE MENTIONS CODED 145 1. VACANT LAND ONLY (CODED ONLY IN THE FIRST RESPONSE) 918 2. DETACHED SINGLE FAMILY 220 3. DETACHED 2-4 FAMILY HOUSE, OR ROW HOUSE 106 4. APARTMENT HOUSE (5 OR MORE UNITS) 84 5. MIXED COMMERCIAL AND RESIDENTIAL STRUCTURE 23 6. WHOLLY COMMERCIAL OR INDUSTRIAL STRUCTURE 17 7. TRAILER 8 8. OTHER 8 9. NA 2362 0. NO SECOND OR THIRD MENTION ============================== VAR 620100B NAME-DESCRIPTION OF R'S NBRHD COLUMNS 136 - 136 NUMERIC MD=0 OR GE 8 Q. Y40. DESCRIPTION OF NEIGHBORHOOD (BASED ON THE FIRST 3 STRUCTURES WITHIN 100 YARDS OF DU) .......................................................... UP TO THREE MENTIONS CODED 145 1. VACANT LAND ONLY (CODED ONLY IN THE FIRST RESPONSE) 918 2. DETACHED SINGLE FAMILY 220 3. DETACHED 2-4 FAMILY HOUSE, OR ROW HOUSE 106 4. APARTMENT HOUSE (5 OR MORE UNITS) 84 5. MIXED COMMERCIAL AND RESIDENTIAL STRUCTURE 23 6. WHOLLY COMMERCIAL OR INDUSTRIAL STRUCTURE 17 7. TRAILER 8 8. OTHER 8 9. NA 2362 0. NO SECOND OR THIRD MENTION ============================== VAR 620100C NAME-DESCRIPTION OF R'S NBRHD COLUMNS 137 - 137 NUMERIC MD=0 OR GE 8 Q. Y40. DESCRIPTION OF NEIGHBORHOOD (BASED ON THE FIRST 3 STRUCTURES WITHIN 100 YARDS OF DU) .......................................................... UP TO THREE MENTIONS CODED 145 1. VACANT LAND ONLY (CODED ONLY IN THE FIRST RESPONSE) 918 2. DETACHED SINGLE FAMILY 220 3. DETACHED 2-4 FAMILY HOUSE, OR ROW HOUSE 106 4. APARTMENT HOUSE (5 OR MORE UNITS) 84 5. MIXED COMMERCIAL AND RESIDENTIAL STRUCTURE 23 6. WHOLLY COMMERCIAL OR INDUSTRIAL STRUCTURE 17 7. TRAILER 8 8. OTHER 8 9. NA 2362 0. NO SECOND OR THIRD MENTION ============================== VAR 620101 NAME-NBRHD CHARACTERISTICS COLUMNS 138 - 138 NUMERIC MD=GE 7 Q. Y39. AND Y40. NEIGHBORHOOD CHARACTERISTICS (SUMMARY) ........................................................ NON-RESIDENTIAL BUILDINGS WERE DISREGARDED IN CODING THIS VARIABLE 910 1. LOW DENSITY -- INCLUDES ONE OR MORE SINGLE FAMILY HOUSES, NO 215 2. MEDIUM DENSITY -- INCLUDES 2-4 FAMILY DWELLINGS, ROW HOUSES, NO APARTMENT HOUSES WITH 5 OR MORE UNITS (NEIGHBORHOOD MAY OR MAY NOT INCLUDE SINGLE FAMILY DWELLINGS) 134 3. HIGH DENSITY -- INCLUDES ONE OR MORE APARTMENT HOUSES WITH 5 OR MORE DWELLINGS (NEIGHBORHOOD MAY OR MAY NOT INCLUDE SINGLE FAMILY DWELLINGS OR 2-4 FAMILY DWELLING UNITS) 32 7. OTHER (TRAILERS ONLY. PRIMARILY COMMERCIAL STRUCTURES WHICH CONTAIN DWELLINGS ONLY) 6 9. NA (INTERVIEWER DID NOT ANSWER THE QUESTION) ============================== VAR 620102 NAME-LIFE CYCLE STAGE OF R COLUMNS 139 - 139 NUMERIC MD=9 LIFE CYCLE STAGE OF RESPONDENT (BASED ON AGE, MARITAL STATUS, AND CHILDREN) ...................................................... CODED FROM THE LISTING BOX, REF.NO. 79 AND REF.NOS. 88 AND 89. CHILDREN WERE CODED WITH THE APPROPRIATE ADULT, AND WIFE WAS PUT IN SAME CATEGORY AS HUSBAND 64 1. YOUNG (UNDER 45), SINGLE, SEPARATED (INCLUDING HUSBAND IN THE SERVICE) WITH NO CHILDREN. 55 2. YOUNG (UNDER 45), MARRIED, NO CHILDREN 273 3. MARRIED, CHILDREN, YOUNGEST 4-1/2 YEARS OR LESS 263 4. MARRIED, CHILDREN, YOUNGEST OVER 4-1/2 YEARS UP TO AND INCLUDING 14-1/2 YEARS 60 5. MARRIED, CHILDREN, YOUNGEST OVER 14-1/2 YEARS (UNDER 18) 348 6. OLDER (45 OR OVER), MARRIED, NO CHILDREN 181 7. OLDER (45 OR OVER), SINGLE,OR SEPARATED, NO CHILDREN 46 8. OTHER (INCLUDE DIVORCED OR OTHER PRESENTLY UNMARRIED PERSONS WITH CHILDREN AND SEPARATED WITH CHILDREN) 7 9. DK, NA ==============================