Version 01 Codebook                                                           
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CODEBOOK VARIABLE DOCUMENTATION                                               
1960 MINOR ELECTION STUDY                                                     
(1960.S)                                                                      
                                                                              
                                                                              
                                                                              
                                                                              
                        NES 1960 MINOR STUDY                                  
                          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           
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   NES VERSION NUMBER                                              
              COLUMNS 1    - 2                                                
              NUMERIC                                                         
              NO MISSING DATA CODES                                           
                                                                              
                 NES VERSION NUMBER                                           
                 ..................                                           
                                                                              
==============================                                                
VAR DSETNO    NES DATASET NUMBER                                              
              COLUMNS 3    - 8                                                
              CHARACTER                                                       
              NO MISSING DATA CODES                                           
                                                                              
                 NES DATASET NUMBER                                           
                 ..................                                           
                                                                              
                 This is dataset 1960.S                                       
                                                                              
==============================                                                
VAR MN0001    NAME-ICPSR ARCHIVE NUMBER                                       
              COLUMNS 9    - 12                                               
              CHARACTER                                                       
              NO MISSING DATA CODES                                           
                                                                              
        ICPSR ARCHIVE NUMBER                                                  
                                                                              
==============================                                                
VAR MN0002    NAME-INTERVIEW NUMBER                                           
              COLUMNS 13   - 16                                               
              NUMERIC                                                         
              NO MISSING DATA CODES                                           
                                                                              
        INTERVIEW NUMBER                                                      
                                                                              
==============================                                                
VAR MN0003    NAME-PRIMARY SAMPLING UNIT                                      
              COLUMNS 17   - 19                                               
              NUMERIC                                                         
              NO MISSING DATA CODES                                           
                                                                              
        PRIMARY SAMPLING UNIT (PSU)                                           
                                                                              
          SEE APPENDIX NOTE                                                   
                                                                              
        /THE PSU CODE IS THE FIRST AND SECOND DIGIT PLUS EITHER THE           
        THIRD OR FOURTH DIGIT LISTED BELOW, E.G. BALTIMORE CITY MAY           
        BE CODED AS 301 OR 302./                                              
                                                                              
   301-2. BALTIMORE CITY    INDEPENDENT CITY                                  
   303-4. BAITIMORE SUBURBS BALTINORE, MD.                                    
   271-2. BOSTON CITY       SUFFOLK, MASS.                                    
   273-4. BOSTON SUBURBS    HIDDLESEX, Mass.                                  
   273-4. BOSTON SUBURBS    NORFOLK, MASS.                                    
   101-2. CHICAGO CITY, NORTH    COOK, ILL.                                   
   111-2. CHICAGO CITY, SOUTH    COOK, ILL.                                   
   103-4. CHICAGO SUBURBS   COOK, ILL.                                        
   103-4. CHICAGO SUBURBS   KANES, ILL.                                       
   103-4. CHICAGO SUBURBS   LAKE, IND.                                        
   103-4. CHICAGO SUBURBS   LAKE, ILL.                                        
   121-2. CLEVELAND CITY    CUYAHOGA, OHIO                                    
   123-4. CLEVELAND SUBURBS CUYAHOGA, OHIO                                    
   131-2. DETROIT CITY      WAYNE, MICH.                                      
   133-4. DETROIT SUBURBS   WAYNE, MICH.                                      
   133-4. DETRCIT SUBURBS   OAKLAND, MICH.                                    
   133-4. DETROIT SUBURBS   MACOMB, MICH.                                     
   001-2. LOS ANGELES CITY  LOS ANGELES, CAL.                                 
   003-4. LOS ANGELES SUBURBS    LOS ANGELES, CAL.                            
   003-4. LOS ANGELES SUBURBS    ORANGE, CAL.                                 
   201-2. NEW YORK CITY-BRONX    BRONX, N.Y.                                  
   211-2. NEW YORK CITY-BROOKLYN KINGS, N.Y.                                  
   221-2. NEW YORK CITY-MANHATTAN     NEW YORK, N.Y.                          
   201-2. NEW YORK CITY-QUEENS   QUEENS, N.Y.                                 
   231-2. NEW YORK CITY-RICHMOND RICHMOND, N.Y.                               
   241-2. JERSEY CITY, N.J. HUDSON, N.J.                                      
   241-2. NEWARK, N.J.      ESSEX, N.J.                                       
   233-4. NEW YORK SUBURBS  NASSAU, N.Y.                                      
   233-4. NEW YORK SUBURBS  WESTCHESTER, N.Y.                                 
   233-4. NEW YORK SUBURBS  FAIRFIELD, CONN.                                  
   233-4. NEW YORK SUBURBS  SUFFOLK, N.Y.                                     
   243-4. NEN JERSEY SUBURBS     UNION, N.J.                                  
   243-4. NEW JERSEY SUBURBS     HUDSON, N.J.                                 
   243-4. NEW JERSEY SUBURBS     ESSEX, N.J.                                  
   243-4. NEW JERSEY SUBURBS     BERGEN, N.J.                                 
   281-2. PHILADELPHIA CITY PHILADELPHIA, PA.                                 
   283-4. PHILADELPHIA SUBURBS   DELAWARE, PA.                                
   283-4. PHILADELPHIA SUBURBS   BUCKS, PA.                                   
   283-4. PHILADELPHIA SUBURBS   MONTGOMERY, PA.                              
   283-4. PHILADELPHIA SUBURBS   CAMDEN, N.J.                                 
   291-2. PITTSBURGH CIIY   ALLEGHENY, PA.                                    
   293-4. PITTSBURGH SUBURBS     ALLEGHENY, PA.                               
   293-4. PITTSBURGH SUBURBS     BEAVER, PA.                                  
   293-4. PITTSBURGH SUBURBS     WASHINGTON, PA                               
   141-2. ST. LOUIS CITY    INDEPENDENT CITY                                  
   143-4. ST. LOUIS SUBURBS ST. CLAIR, ILL.                                   
   143-4. ST. LOUIS SUBURBS ST. LOUIS, MO.                                    
   143-4. ST. LOUIS SUBURBS MADISON, ILL                                      
   011-2. SAN FRANCISCO CITY     SAN FRANCISCO, CAL.                          
   011-2. OAKLAND CITY      ALAMEDA, CAL.                                     
   013-4. SAN FRANCISCO SUBURBS  ALAMEDA, CAL.                                
   013-4. SAN FRANCISCO SUBURBS  SAN HATED, CAL.                              
   013-4. SAN FRANCISCO SUBURBS  CONTRA COSTA, CAL.                           
   311-2. WASHINGTON CITY   DISTRICT OF COLUMBIA                              
   313-4. WASHINGTON SUBURB PRINCE GEORGES, MD.                               
   313-4. WASHINGTON SUBURB FAIRFAX, VA.                                      
   313-4. WASHINGTON SUBURB MONTGOMERY, MD.                                   
   313-4. WASHINGTON SUBURB ARLINGTON, VA.                                    
   677-8. ADAIR        ADAIR, MO.                                             
   627-8. BARRON       BARRON, WIS.                                           
   725-6. BLACK HAWK   BLACK HAWK, IOWA                                       
   725-6. BLACK HAWK   BUCHANAN, IOWA                                         
   477-8. BOYD         BOYD, KY.                                              
   477-8. BOYD         GREENUP, KY.                                           
   715-6. BUTLER       BUTLER, OHIO                                           
   715-6. BUTLER       WARREN, OHIO                                           
   527-8. CLARK        CLARK, ARK.                                            
   917-8. CORTLAND          CORTLAND, N.Y.                                    
   637-8. CRANFORD          CRANFORD, IOWA                                    
   507-8. EASI CARROLL EAST CARROLL, LA.                                      
   497-8. ERATH        ERATH, TEX                                             
   975-6. FAIRFIELD    FAIRFIELD, CONN.                                       
   425-6. FORSYTH      FORSYTH, N.C                                           
   425-6. FORSYTH      STOKES, N.C.                                           
   617-8. FRANKLIN          FRANKLIN, NEB.                                    
   735-6. GENESSEE          GENESEE, MICH.                                    
   547-8. GNINNETT          GWINNETT, GA.                                     
   395-6. HARRIS       HARRIS, TEX                                            
   765-6. HENNEPIN          HENNEPIN, MINN.                                   
   765-6. HENNEPIN          RAMSEY, MINN.                                     
   577-8. HICKMAN      HICKMAN, TENN.                                         
   857-8. IDAHO        IDAHO, ID.                                             
   587-8. JEFF DAVIS   JEFF DAVIS, GA.                                        
   405-6. JEFFERSON    JEFFERSON, KY.                                         
   687-8. KNOX         KNOX, OHIO                                             
   487-8. LEON         LEON, FLA.                                             
   705-6. LORAIN       LORAIN, OHIO                                           
   965-6. LUZERNE      LUZERNE, PA.                                           
   937-8. LYCOMING          LYCOMING, PA.                                     
   755-6. MARION       MARION, IND.                                           
   837-8. MERCED       MERCED, CAL.                                           
   695-6. MINNEHAHA    MINNEHAHA, S.D.                                        
   695-6. MINNEHAHA    TURNER, S.D.                                           
   647-8. MITCHELL          MITCHELL, KAN.                                    
   445-6. MONTGOMERY   MONTGOMERY, ALA.                                       
   445-6. MONTGOMERY   ELMORE, ALA.                                           
   745-6. MONTGOMERY, OH    MONTGOMERY, OHIO                                  
   517-8. MUHLENBERG   MUHLENBERG, KY.                                        
   947-8. NEW LONDON   NEW LONDON, CONN.                                      
   995-6. ONONDAGA          ONONDAGA, N.Y.                                    
   657-8. PAGE         PAGE, IOWA                                             
   815-6. PIERCE       PIERCE, WASH.                                          
   467-8. PITT         PITT, N.C.                                             
   825-6. PUEBLO       PUEBLO, COLO.                                          
   415-6. PULASKI, ARK.     PULASKI, ARK.                                     
   415-6. PULASKI, ARK.     SALINE, ARK.                                      
   557-8- PULASKI, VA. PULASKI, VA.                                           
   955-6. RENSSELAER   RENSSELAER, N.Y                                        
   435-6. RICHLAND          RICHLAND, S.C.                                    
   435-6. RICHLAND          LEXINGTON, S.C.                                   
   667-8. ST. JOSEPH   ST. JOSEPH, MICH.                                      
   805-6. SAN DIEGO    SAN DIEGO, CAL.                                        
   537-8. SARASOTA          SARASOTA, FLA.                                    
   537-8. SARASOTA          MANATEE, FLA.                                     
   847-8. SOCORRO      SOCORRO, N. M.                                         
   907-8. SUSQUEHANNA  SUSQUEHANNA, PA.                                       
   457-8. TAYLOR       TAYLOR, TEX                                            
   457-8. TAYLOR       JONES, TEX                                             
   607-8. TRAVERSE          TRAVERSE, MINN.                                   
   567-8. WALTHALL          WALTHALL, MISS.                                   
   597-8. WATAUGA      WATAUGA, N.C.                                          
   985-6. WORCESTER    WORCESTER, MASS.                                       
   927-8. YORK         YORK, MAINE                                            
   999. NOT ASCERTAINED                                                       
                                                                              
==============================                                                
VAR MN0004    NAME-SIZE OF PLACE                                              
              COLUMNS 20   - 20                                               
              NUMERIC                                                         
              NO MISSING DATA CODES                                           
                                                                              
        SIZE OF PLACE CODE                                                    
                                                                              
        SELF-REPRESENTING PSUs                                                
   195  1. CENTRAL CITIES                                                     
   27   2. SUBURBS 50,000 POPULATION AND OVER                                 
   125  3. SUBURBS 2,500 THROUGH 49,999 PLUS OTHER PLACES IN CENSUS           
        'URBANIZED AREAS'                                                     
   58   4. ALL OTHER SUBURBS (RURAL)                                          
        NON-SELF-REPRESENTING PSU's                                           
   209  5. CITIES OF 50,000 AND OVER                                          
   82   6. PLACES 2,500 THROUGH 49,999 POPULATION, PLUS ANY OTHER             
        PLACES CLASSIFIED AS URBAN BY THE CENSUS BUREAU                       
   214  7. PLACES 2,500 THROUGH 49,999                                        
   64   8. CENSUS NAME PLACES UNDER 2,500                                     
   115  9. REMAINDER OF SAMPLE COUNTY IN SMA                                  
   301  0. REMAINDER OF PSU NOT IN SMA                                        
                                                                              
==============================                                                
VAR MN0005    NAME-BELT CODE                                                  
              COLUMNS 21   - 21                                               
              NUMERIC                                                         
              NO MISSING DATA CODES                                           
        DK 1 COL 13                                                           
                                                                              
        BELT CODE                                                             
   195  1. CENTRAL CITIES OF 12 LARGEST SMAs                                  
   201  2. CENTRAL CITIES OF OTHER SMA'S                                      
   191  3. SUBURBAN AREAS OF 12 LARGEST SMA'S                                 
   214  4. SUBURBAN AREAS OF OTHER SMA'S                                      
   258  5. ADJACENT AREAS                                                     
   331  6. OUTLYING AREAS                                                     
                                                                              
==============================                                                
VAR MN0006    NAME-DATE OF INTERVIEW                                          
              COLUMNS 22   - 22                                               
              NUMERIC                                                         
              MD 9                                                            
                                                                              
        DATE OF INTERVIEW                                                     
                                                                              
   174  1. OCTOBER 24TH OF EARLIER                                            
   300  2. OCTOBER 25TH - 31ST                                                
   307  3. NOVEMBER 1ST - 7TH                                                 
   159  4. NOVEMBER 8TH - 14TH                                                
   214  5. NOVEMBER 15TH - 21ST                                               
   160  6. NOVEMBER 22ND - 28TH                                               
   64   7. NOVEMBER 29TH OR AFTER                                             
   12   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0007    NAME-WHO IS RESPONDENT                                          
              COLUMNS 23   - 23                                               
              NUMERIC                                                         
              MD 9                                                            
                                                                              
        WHO IS R.                                                             
                                                                              
   840  1. R IS HEAD OF FAMILY                                                
   525  2. R IS WIFE OF HEAD OF FAMILY                                        
   3    7. OTHER                                                              
   22   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0008    NAME-NUMBER OF ADULTS IN FAM                                    
              COLUMNS 24   - 24                                               
              NUMERIC                                                         
              MD 9                                                            
                                                                              
        NUMBER OF ADULTS IN FAMILY                                            
                                                                              
   241  1. ONE                                                                
   968  2. TWO                                                                
   140  3. THREE                                                              
   28   4. FOUR                                                               
   13   5. FIVE                                                               
   0    6. SIX                                                                
   0    7. SEVEN                                                              
   0    8. EIGHT OR MORE                                                      
   0    9. NA                                                                 
                                                                              
==============================                                                
VAR MN0009    NAME-AGE OF RESPONDENT                                          
              COLUMNS 25   - 26                                               
              NUMERIC                                                         
              MD 99                                                           
                                                                              
        AGE OF RESPONDENT                                                     
                                                                              
          SEE APPENDIX NOTE                                                   
                                                                              
   16   99. NA                                                                
                                                                              
==============================                                                
VAR MN0010    NAME- AGE OF HEAD                                               
              COLUMNS 27   - 27                                               
              NUMERIC                                                         
              MD 9                                                            
                                                                              
   AGE OF HEAD                                                                
                                                                              
   58   1. 18-24                                                              
   249  2. 25-34                                                              
   319  3. 35-44                                                              
   285  4. 45-54                                                              
   241  5. 55-64                                                              
   224  6. 65 AND OVER                                                        
   14   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0011    NAME- R BETTER FINANCIALLY THAN LAST YEAR                       
              COLUMNS 28   - 28                                               
              NUMERIC                                                         
              MD GE 8                                                         
                                                                              
        Q1. 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.                                                           
                                                                              
   373  1. BETTER                                                             
   653  3. SAME, PRO-CON                                                      
   337  5. WORSE                                                              
   20   8. UNCERTAIN                                                          
   7    9. NA                                                                 
                                                                              
==============================                                                
VAR MN0012    NAME- MAKE MORE MONEY THAN LAST YEAR                            
              COLUMNS 29   - 29                                               
              NUMERIC                                                         
              MD 9                                                            
                                                                              
        Q2. ARE YOU PEOPLE MAKING AS MUCH MONEY NOW AS YOU WERE A YEAR        
                                                                              
   AGO, OR MORE, OR LESS.                                                     
   447  1. MORE NOW                                                           
   650  3. ABOUT THE SAME                                                     
   278  5. LESS NOW                                                           
   15   9. NA     DK                                                          
                                                                              
==============================                                                
VAR MN0013    NAME- PEOPLE WORRY ABOUT NEXT YEAR                              
              COLUMNS 30   - 30                                               
              NUMERIC                                                         
              MD GE 8                                                         
                                                                              
   Q3.  DO YOU THINK PEOPLE ABOUND HERE HAVE ANY WORRIES AB0UT HOW            
        THEY'LL GET ALONG IN THE NEXT YEAR OR SO. I'M SPEAKING OF             
        PEOPLE LIKE YOURSELF AND YOUR FRIENDS.                                
                                                                              
   576  1. YES, THERE ARE WORRIES                                             
   60   3. A FEW PEOPLE HAVE WORRIES (MANY OR MOST PEOPLE DON'T)              
   647  5. NO, THERE ARE NO WORRIES AT ALL                                    
   94   8. DK                                                                 
   13   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0014    NAME- PEOPLE BETTER FINANCIALLY NEXT YEAR                       
              COLUMNS 31   - 31                                               
              NUMERIC                                                         
              MD GE 8                                                         
                                                                              
   Q4.  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.                                                
                                                                              
   426  1. BETTER OFF                                                         
   652  3. SAME                                                               
   73   5. WORSE OFF                                                          
   232  8. UNCERTAIN                                                          
   7    9. NA                                                                 
                                                                              
==============================                                                
VAR MN0015    NAME- IN FEW YES R HAVE BETTER INCOME                           
              COLUMNS 32   - 32                                               
              NUMERIC                                                         
              MD GE 6                                                         
                                                                              
   Q5.  A FEW YEARS FROM NOW, DO YOU THINK YOU AND YOUR FAMILY WILL           
        HAVE A BETTER INCOME THAN YOU HAVE NOW, OR WILL YOU BE IN             
        ABOUT THE SAME SITUATION, OR A LESS SATISFACTORY SITUATION.           
                                                                              
   471  1. BETIER OFF THEN                                                    
   66   2. BETTER WITH QUALIFICATIONS. THE SAME OR BETTER                     
   471  3. SAME. MAYBE BETTER OFF, MAYBE WORSE. BETTER IN SOME WAYS,          
              WORSE IN OTHERS                                                 
   34   4. WORSE WITH QUALIFICATIONS. THE SAME OR WORSE                       
   77   5. WORSE OFF THEN                                                     
   77   6. DEPENDS                                                            
   29   7. R SPEAKS ONLY OF WHAT HE HOPES, NO INDICATIONS OF WHAT HE          
             REALLY EXPECTS                                                   
   133  8. CAN'T SAY, WOULDN'T SAY, IMPOSSIBLE TO KNOW                        
   32   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0016    NAME- R OWN HOME OR RENT                                        
              COLUMNS 33   - 33                                               
              NUMERIC                                                         
              MD 7                                                            
                                                                              
   Q6.  DO YOU OWN THIS HOME, OR PAY RENT, OR WHAT.                           
                                                                              
   910  1. OWN HOME                                                           
   418  2. PAY RENT                                                           
   3    3. LIVE WITH FAMILY, FRIENDS, ETC.                                    
   59   7. OTHER                                                              
                                                                              
==============================                                                
VAR MN0017    NAME-LENGTH OF RES (HOME)                                       
              COLUMNS 34   - 34                                               
              NUMERIC                                                         
              MD 9                                                            
                                                                              
   Q7.  HOW LONG HAVE YOU PEOPLE BEEN LIVING IN THIS HOUSE                    
        (APARTMENT).                                                          
                                                                              
   210  1. LESS THAN ONE YEAR                                                 
   258  2. 1-2 YEARS {INCLUDES 2 YEARS AND 6 MONTHS)                          
   202  3. 3-4 YEARS (INCLUDES 4 YEARS AND 6 MONTHS)                          
   274  4. 5-6 YEARS (INCLUDES 9 YEARS AND 6 MONTHS)                          
   244  5. 10-19 YEARS (INCLUDES 19 YEARS AND 6 MONTHS)                       
   200  6. 20 YEARS OR MORE                                                   
   2    9. NA                                                                 
                                                                              
==============================                                                
VAR MN0018 REF 0018                                                           
              COLUMNS 35   - 35                                               
              NUMERIC                                                         
        NAME- PAST YEAR PRICES ROSE, FELL                                     
              MD GE 8                                                         
                                                                              
   Q19. WE'D LIKE TO KNOW WHAT'S HAPPENED TO PRICES ON HOUSEHOLD              
        IIENS AND CLOTHING HERE IN (COMMUNITY NAME) DURING THE PAST           
        YEAR. HAVE THEY STAYED ABOUT THE SAME, GONE UP OR GONE DOWN.          
        (GROCERIES WERE EXCLUDED)                                             
                                                                              
        1. PRICES WENT UP                                                     
        2. SOME WENT UP, SOME STAYED THE SAME.  SOME WENT UP, NA, DK          
              OTHERS                                                          
        3. PRICES STAYED WHERE THEY WERE. SOME WENT UP, SOME WENT             
               DOWN. SOME STAYED THE SAME, NA, DK OTHERS                      
        4. SOME WENT DOWN, SOME STAYED THE SAME. SOME WENT DOWN, NA,          
               DK OTHERS                                                      
        5. PRICES WENT DOWN                                                   
        8. DO, UNCERTAIN, DEPENDS                                             
        9. NA                                                                 
                                                                              
==============================                                                
VAR MN0019    NAME- NEXT YR PRICES RISE/FALL                                  
              COLUMNS 36   - 36                                               
              NUMERIC                                                         
              MD GE 8                                                         
                                                                              
   Q20. WHAT DO YOU EXPECT PRICES OF HOUSEHOLD ITEMS AND CL0THING             
        WILL DO DURING THE NEXT YEAR OR SO - STAY WHERE THEY ARE, GO          
        UP, OR GO DOWN.                                                       
                                                                              
        ONE YEAR HH PRICE EXPECTATIONS                                        
   549  1. PRICES WILL (PROBABLY) GO UP                                       
   36   2. PRICES WILL EITHER STAY THE SAME OR GO UP. SOME WILL GO            
           UP, SOME WILL STAY THE SANE                                        
   456  3. PRICES WILL STAY ABOUT THE SAME. SOME WILL GO UP, SOME             
           WILL GO DOWN, LEVEL OFF, EVEN OFF                                  
   11   4. PRICES WILL EITHER STAY THE SAME OR GO DOWN. SOME WILL GO          
           DOWN, SOME WILL STAY THE SAME                                      
   83   5. PRICES WILL (PROBABLY) GO DOWN                                     
   236  8. DK, UNCERTAIN, DEPENDS                                             
   19   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0020    NAME- EXPECTS PRICE CHANGE TO BE GOOD/BAD                       
              COLUMNS 37   - 37                                               
              NUMERIC                                                         
              MD 0 OR GE 6                                                    
                                                                              
   Q21. WOULD YOU SAY THAT THESE (RISING PRICES) (FALLING PRICES)             
        (UNCHANGED PRICES) WOULD BE TO THE GOOD, OR TO THE BAD, OR            
        WHAT.                                                                 
                                                                              
   459  1. GOOD (GOOD FOR US, GOOD FOR THE AVERAGE PERSON)                    
   10   2. GOOD, IF CHANGE IS SLOW, GRADUAL, SMALL                            
   22   3. MAKES NO DIFFERENCE                                                
   443  5. BAD (BAD FOR US, BAD FOR AVERAGE PERSON)                           
   67   6. PRO-CON -- GOOD FOR SOME PEOPLE, BAD FOR OTHERS. DEPENDS           
           WHETHER PRODUCER OR CONSUMER                                       
   60   8. DR                                                                 
   74   9. NA                                                                 
   255  0. INAP., CODED 8 OR 9 ON REF. NO. 19                                 
                                                                              
==============================                                                
VAR MN0021    NAME- ELECTION OUTCOME EFFECT ON PRICES                         
              COLUMNS 38   - 38                                               
              NUMERIC                                                         
              MD GE 8                                                         
                                                                              
   Q23. DO YOU THINK THE OUTCOME OF THE ELECTION WILL HAVE ANY                
        EFFECT ON WHAT PRICES WILL DO IN THE NEXT FEW YEARS.                  
                                                                              
   683  1. YES                                                                
   83   2. YES, WITH QUALIFICATIONS                                           
   19   3. PRO-CON                                                            
   42   4. NO, WITH QUALIFICATIONS                                            
   341  5. NO                                                                 
   195  8. DK, DEPENDS WHO WINS                                               
   27   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0022    NAME- WHICH PARTY HAVE PRICE INCREASES                          
              COLUMNS 39   - 39                                               
              NUMERIC                                                         
              MD 0 OR GE 8                                                    
                                                                              
   Q23A. (IF YES) UNDER WHICH OF THE TWO MAJOR PARTIES, IN YOUR               
         OPINION, WOULD BE MORE LIKELY TO HAVE PRICE INCREASES - THE          
         REPUBLICANS OR DEMOCRATS.                                            
                                                                              
   240  1. REPUBLICANS                                                        
   46   3. NOT MUCH DIFFERENCE, NO DIFFERENCE                                 
   407  5. DEMOCBATS                                                          
   54   8. DK                                                                 
   38   9. NA                                                                 
   605  0. INAP., CODED 4, 5, 8 OR 9 ON REF. NO. 21                           
                                                                              
==============================                                                
VAR MN0023    NAME- BUSINESS CONDITIONS GOOD NEXT YEAR                        
              COLUMNS 40   - 40                                               
              NUMERIC                                                         
              MD GE 8                                                         
                                                                              
   Q45. NOW TURNING TO BUSINESS CONDITIONS IN THE COUNTRY AS A                
        WHOLE-- DO YOU THINK THAT DURING THE NEXT TWELVE MONTHS WE'LL         
        HAVE GOOD TIMES FINANCIALLY, OR BAD TIMES, OR WHAT.                   
                                                                              
          SEE APPENDIX NOTE                                                   
                                                                              
   502  1. GOOD TIMES                                                         
   212  2. GOOD, WITH QUALIFICATIONS                                          
   128  3. PRO-CON                                                            
   49   4. BAD, WITH QUALIFICATIONS                                           
   87   5. BAD                                                                
   382  8. UNCERTAIN, DK                                                      
   30   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0024    NAME- PRESENT BUSINESS CONDITIONS BTR/WRS                       
              COLUMNS 41   - 41                                               
              NUMERIC                                                         
              MD GE 8                                                         
                                                                              
   Q46. WOULD YOU SAY THAT AT PRESENT BUSINESS CONDITIONS ARE BETTER          
        OR WORSE THAN THEY WERE A YEAR AGO.                                   
                                                                              
   254  1. BETTER                                                             
   594  3. ABOUT THE SAME                                                     
   495  5. WORSE                                                              
   43   8. DK, DEPENDS                                                        
   4    9. NA                                                                 
                                                                              
==============================                                                
VAR MN0025    NAME- HEARD ABOUT PRICE OF STOCK                                
              COLUMNS 42   - 42                                               
              NUMERIC                                                         
              MD GE 9                                                         
                                                                              
   Q47B, 47C. HAVE YOU HEARD OF ANYTHING ABOUT THE STOCK MARKET. I            
              MEAN, WHAT HAS BEEN HAPPENING TO THE PRICES OF COMMON STOCK     
              DURING THE LAST FEW MONTHS. (IF YES) WHAT HAVE YOU HEARD?       
                                                                              
   868  0. HEARD NOTHING                                                      
   41   1. YES, STOCK MARKET WENT UP, GENERAL FAVORABLE COMMENTS              
   117  2. YES, STOCK MARKET WENT UP AND DOWN, ZIGZAGGED, FLUCTUATED          
   14   3. YES, NOT MUCH HAPPENED, REMAINED STABLE                            
   278  4. YES, STOCK MARKET WENT DONN. GENERAL UNFAVORABLE COMMENTS          
   16   5. YES, REFERS ONLY TO MOVEMENT OF SPECIFIC STOCKS (EITHER            
        UP OR DOWN)                                                           
   8    6. YES, NO FURTHER COMMENT. NA WHAT HEARD                             
   48   9. NA. DK                                                             
                                                                              
==============================                                                
VAR MN0026    NAME- BUSINESS CONDITIONS BTR NEXT YEAR                         
              COLUMNS 43   - 43                                               
              NUMERIC                                                         
              MD GE 8                                                         
                                                                              
   Q48. 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 AB0UT THE SAME.               
                                                                              
   429  1. BETTER                                                             
   738  3. ABOUT THE SANE                                                     
   58   5. WORSE                                                              
   147  8. DK, DEPENDS                                                        
   18   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0027    NAME- WORLD RELATIONS AFFECT BUSINESS COND.                     
              COLUMNS 44   - 44                                               
              NUMERIC                                                         
              MD O OR GE 6                                                    
                                                                              
   Q49, 49A. 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. DO YOU THINK THEY MAKE FOR GOOD TIMES, OR BAD              
             TIMES, OR WHAT.                                                  
                                                                              
   283  0. NO EFFECT ON BUSINESS                                              
   181  1. GOOD TIMES                                                         
   52   2. GOOD TINES, QUALIFIED                                              
   27   3. PRO-CON. ABOUT AVERAGE. FAIR TIMES                                 
   59   4. BAD TIMES, QUALIFIED                                               
   409  5. BAD TIMES                                                          
   12   6. TEMPORARY GOOD TIMES. ARTIFICIAL GOOD TIMES (BROUGHT               
           ABOUT BY COLD WAR, GOVERNMENT SPENDING). GOOD AT PRESENT,          
           BUT BAD IN LONG RUN                                                
   3    7. TEMPORARY BAD TIMES                                                
   277  8. DK, DEPENDS                                                        
   87   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0028    NAME- NEXT 5 YRS HAVE GOOD TIMES                                
              COLUMNS 45   - 45                                               
              NUMERIC                                                         
              MD GE 5                                                         
                                                                              
   Q50, 50A. LOOKING AHEAD, WHICH WOULD YOU SAY IS MORE LIKELY -              
             THAT IN THE COUNTRY AS A WHOLE WE WILL HAVE CONTINUOUS           
             GOOD TIMES DURING THE NEXT FIVE YEARS OR SO, OR THAT             
             WE WILL HAVE PERIOD OF WIDESPREAD UNEMPLOYMENT OR                
             DEPRESSION, OR WHAT. (IF DON'T KNOW) ON WHAT DOES IT             
             DEPEND IN YOUR OPINION.                                          
                                                                              
          SEE APPENDIX NOTE                                                   
                                                                              
        EXPECTED BUSINESS CONDITIONS FIVE YEARS HENCE                         
   310  0. (CONTINUOUS) GOOD TINES, BOOM PROSPERITY                           
   140  1. GOOD TINES, QUALIFIED (NOT BAD)                                    
   178  2. PRO-CON, SOME UNEMPLOYMENT AND DEPRESSION                          
   65   3. BAD TIMES, QUALIFIED (NOT GOOD) (RECESSION)                        
   169  4. BAD TIMES, DEPRESSION, WIDESPREAD UNEMPLOYMENT                     
   36   5. THINGS WILL BE ABOUT THE SAME. THINGS GET BACK TO NORMAL           
           (NA WHETHER 'SAME' OR 'NORMAL' MEANS GOOD TIMES 0R NOT)            
           "DEPENDS"                                                          
   66   6. DEPENDS ON COLD WAR, DEFENSE PROGRAM, AID TO ALLIES,               
           INTERNATIONAL SITUATION, WAR                                       
   145  7. DEPENDS ON GOVERNMENT POLICY (NO REFERENCES TO WAR OR              
           DEFENSE), POLITICS, POLICIES OF ADMINISTRATION, OUTCOME OF         
           ELECTION                                                           
   177  8. DEPENDS ON OTHER. DK, CAN'T TELL                                   
   104  9. NA (R SPEAKS ONLY OF HOPES AND WISHES) (BETTER OR WORSE            
           THAN NOW-- COMPARATIVE ANSWERS)                                    
                                                                              
==============================                                                
VAR MN0029    NAME- MUCH UNEMP. IN THIS COMMUNITY                             
              COLUMNS 46   - 46                                               
              NUMERIC                                                         
              MD GE 6                                                         
                                                                              
   Q51, 51A. IS THERE ANY UNEMPLOYMENT HERE IN (COMMUNITY NAME) THAT          
   YOU HAVE HEARD OF. (IF YES) DOES IT INVOLVE MANY PEOPLE OR JUST A          
   FEW?                                                                       
                                                                              
   315  1. YES, UNEMPLOYMENT, MANY PEOPLE INVOLVED                            
   172  2. YES, UNEMPLOYMENT, QUITE A FEW PEOPLE INVOLVED-- R'S               
            ANSWER SOMEWHERE BETWEEN MANY AND FEW. MENTIONS ONLY              
            SPECIFIC INSTANCE                                                 
   227  3. YES, UNEMPLOYMENT, A FEW PEOPLE INVOLVED                           
   50   4. YES, UNEMPLOYMENT, NA HOW MANY PEOPLE INVOLVED                     
   546  5. NO UNEMPLOYMENT. NONE THAT R KNOWS OF                              
   13   6. UNCERTAIN, BUT THINKS THERE MAY BE SOME UNEMPLOYMENT               
   55   8. DK                                                                 
   12   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0030    NAME- PAST MONTHS UNEMP. INCREASE                               
              COLUMNS 47   - 47                                               
              NUMERIC                                                         
              MD 0 OR GE 8                                                    
                                                                              
   Q51B.     WOULD YOU SAY UNEMPLOYMENT HERE HAS BEEN INCREASING OB           
             DECREASING IN THE PAST FEW MONTHS, OR WAS THERE NO               
             CHANGE?                                                          
                                                                              
   410  1. INCREASING                                                         
   173  3. NO CHANGE                                                          
   94   5. DECREASING                                                         
   65   8. DK                                                                 
   35   9. NA                                                                 
   613  0. INAP., CODED 5, 8 OR 9 ON REF. NO. 29                              
                                                                              
==============================                                                
VAR MN0031    NAME- NEXT YR WILL UNEMP INCREASE                               
              COLUMNS 48   - 48                                               
              NUMERIC                                                         
              MD GE 8                                                         
                                                                              
   Q52. AND HOW ABOUT NEXT YEAR, 1961-- DO YOU THINK THAT THERE WILL          
        BE MORE UNEMPLOYMENT THAN NOW, ABOUT THE SAME, OR LESS.               
                                                                              
   143  1. BORN IN 1961                                                       
   780  3. ABOUT THE SAME                                                     
   297  5. LESS IN 1961                                                       
   153  8. DK. DEPENDS                                                        
   17   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0032    NAME- WHO ELECTED PRES NEXT YR                                  
              COLUMNS 49   - 49                                               
              NUMERIC                                                         
              MD 0 0R GE 8                                                    
                                                                              
   Q53. WHO DO YOU THINK WILL BE ELECTED PRESIDENT IN NOVEMBER?               
                                                                              
   247  1. NIXON (REPUBLICANS)                                                
   341  2. KENNEDY (DEMOCRATS)                                                
   182  8. DK (R ONLY SPEAKS OF HOPES)                                        
   16   9. NA                                                                 
   604  0. INAP. (INTERVIEW TAKEN AFTER ELECTION)                             
                                                                              
==============================                                                
VAR MN0033    NAME- HOW PRES ELCTN AFFECT BUSINESS                            
              COLUMNS 50   - 50                                               
              NUMERIC                                                         
              MD 0 OR GE 6                                                    
                                                                              
   Q54, 54A. WOULD YOU SAY THAT THE OUTCOME OF THE PRESIDENTIAL               
             ELECTION WILL HAVE ANY EFFECT ON BUSINESS CONDITIONS             
             IN THIS COUNTRY. (IF EFFECT) WILL IT IMPROVE 0R WILL             
             IT SLOW DOWN BUSINESS?                                           
                                                                              
   278  O. NO EFFECT, IT WON'T MAKE ANY DIFFERENCE                            
   606  1. BUSINESS WILL OR MAY IMPROVE (STAY GOOD)                           
   25   2. THINGS ALWAYS PICK UP THE YEAR AFTER AN ELECTION. IMPROVE          
           REGARDLESS OF WHO IS ELECTED                                       
   86   3. YES, IT WILL MAKE A DIFFERENCE (NA WHETHER GOOD OR BAD)            
   22   4. THINGS ARE ALWAYS SLOW THE YEAR AFTER AN ELECTION,                 
           DETERIORATE REGARDLESS OF WHO IS ELECTED                           
   69   5. BUSINESS WILL OR MAY DETERIORATE (STAY BAD)                        
   10   6. FAVORS SOME GROUPS, NOT OTHERS                                     
   55   7. DEPENDS ON OUTCOME                                                 
   154  8. DK                                                                 
   85   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0034    NAME- HOW PRES ELCTN CHANGE TAXES                               
              COLUMNS 51   - 51                                               
              NUMERIC                                                         
              MD GE 8                                                         
                                                                              
   Q55. HOW ABOUT TAXES-- DO YOU EXPECT THE NEXT PRESIDENT TO                 
        INCREASE OR DECREASE THE TAXES WE PAY, OR WILL THERE BE NO            
        CHANGE IN YOUR OPINION.                                               
                                                                              
   580  1. INCREASE TAXES. PROBABLY INCREASE                                  
   61   2. NO CHANGE OR INCREASE. MAY INCREASE                                
   419  3. NO CHANGE. PROBABLY NO CHANGE                                      
   8    4. NO CHANGE OR DECREASE. MAY DECREASE                                
   62   5. DECREASE TAXES. PROBABLY DECREASE                                  
   202  8. DK, DEPENDS                                                        
   58   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0035    NAME- MILITARY EXPENDITURES INCRS                               
              COLUMNS 52   - 52                                               
              NUMERIC                                                         
              MD GE 8                                                         
                                                                              
   Q56. IN YOUR OPINION SHOULD MllITARY EXPENDITURES, WHAT WE SPEND           
        ON ARMS AND DEFENSE, BE INCREASED OR DECREASED NEXT YEAR, OR          
        STAY ABOUT THE SAME.                                                  
                                                                              
   587  1. MILITARY EXPENDITURES SHOULD BE INCREASED                          
   445  3. MILITARY EXPENDITURES SHOULD STAY ABOUT THE SAME                   
   63   5. MILITARY EXPENDITURES SHOULD BE DECREASED                          
   214  8. DK, DEPENDS                                                        
   81   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0036A    NAME- IF DISARMAMENT USE OF MONEY SAVED                        
              COLUMNS 53   - 53                                               
              NUMERIC                                                         
              MD 0 OR GE 7                                                    
                                                                              
   Q57. SOME PEOPLE SAY THAT THERE QILL BE SOME DISARMAMENT AND               
        THEREFORE OUR GOVERNMENT WILL SPEND LESS ON ARMS AND                  
        DEFENSE. SUPPOSE THIS IS THE CASE, WHAT WOULD YOU SAY SHOULD          
        BE DONE WITH THE MONEY SAVED?                                         
                                                                              
   40   1. SHOULD BE USED TO INCREASE FINANCIAL HELP TO OTHER                 
             COUNTRIES                                                        
   176  2. SHOULD BE USED TO REDUCE GOVERNMENT DEBT                           
   150  3. SHOULD BE USED TO REDUCE INCOME TAXES                              
   138  4. SHOULD BE USED TO BUILD SCHOOLS, HIGHWAYS, DEVELOP                 
             NATURAL RESOURCES, OTHER PUBLIC WORKS                            
   250  5. SHOULD BE USED FOB PUBLIC WELFARE PROGRAMS - TO HELP               
             NEEDY PEOPLE IN THE U.S., HELP THE AGED                          
   131  6. EDUCATION (OTHER THAN SCHOOL BUILDING)                             
   213  7. OTHER. VAGUE ANSWER. SHOULD BE SPREAD OVER ALL FIELDS              
   233  8. DK                                                                 
   190  9. NA                                                                 
   2649 0. R DOES NOT BELIEVE LESS WILL BE SPENT ON ARMS AND                  
             DEFENSE. NO SECOND OR THIRD MENTION                              
                                                                              
==============================                                                
VAR MN0036B    NAME- IF DISARMAMENT USE OF MONEY SAVED                        
              COLUMNS 54   - 54                                               
              NUMERIC                                                         
              MD 0 OR GE 7                                                    
                                                                              
   Q57. SOME PEOPLE SAY THAT THERE QILL BE SOME DISARMAMENT AND               
        THEREFORE OUR GOVERNMENT WILL SPEND LESS ON ARMS AND                  
        DEFENSE. SUPPOSE THIS IS THE CASE, WHAT WOULD YOU SAY SHOULD          
        BE DONE WITH THE MONEY SAVED?                                         
                                                                              
   40   1. SHOULD BE USED TO INCREASE FINANCIAL HELP TO OTHER                 
             COUNTRIES                                                        
   176  2. SHOULD BE USED TO REDUCE GOVERNMENT DEBT                           
   150  3. SHOULD BE USED TO REDUCE INCOME TAXES                              
   138  4. SHOULD BE USED TO BUILD SCHOOLS, HIGHWAYS, DEVELOP                 
             NATURAL RESOURCES, OTHER PUBLIC WORKS                            
   250  5. SHOULD BE USED FOB PUBLIC WELFARE PROGRAMS - TO HELP               
             NEEDY PEOPLE IN THE U.S., HELP THE AGED                          
   131  6. EDUCATION (OTHER THAN SCHOOL BUILDING)                             
   213  7. OTHER. VAGUE ANSWER. SHOULD BE SPREAD OVER ALL FIELDS              
   233  8. DK                                                                 
   190  9. NA                                                                 
   2649 0. R DOES NOT BELIEVE LESS WILL BE SPENT ON ARMS AND                  
             DEFENSE. NO SECOND OR THIRD MENTION                              
                                                                              
==============================                                                
VAR MN0036M3    NAME- IF DISARMAMENT USE OF MONEY SAVED                       
              MD 0 OR GE 7                                                    
                                                                              
   Q57. SOME PEOPLE SAY THAT THERE QILL BE SOME DISARMAMENT AND               
        THEREFORE OUR GOVERNMENT WILL SPEND LESS ON ARMS AND                  
        DEFENSE. SUPPOSE THIS IS THE CASE, WHAT WOULD YOU SAY SHOULD          
        BE DONE WITH THE MONEY SAVED?                                         
                                                                              
   40   1. SHOULD BE USED TO INCREASE FINANCIAL HELP TO OTHER                 
             COUNTRIES                                                        
   176  2. SHOULD BE USED TO REDUCE GOVERNMENT DEBT                           
   150  3. SHOULD BE USED TO REDUCE INCOME TAXES                              
   138  4. SHOULD BE USED TO BUILD SCHOOLS, HIGHWAYS, DEVELOP                 
             NATURAL RESOURCES, OTHER PUBLIC WORKS                            
   250  5. SHOULD BE USED FOB PUBLIC WELFARE PROGRAMS - TO HELP               
             NEEDY PEOPLE IN THE U.S., HELP THE AGED                          
   131  6. EDUCATION (OTHER THAN SCHOOL BUILDING)                             
   213  7. OTHER. VAGUE ANSWER. SHOULD BE SPREAD OVER ALL FIELDS              
   233  8. DK                                                                 
   190  9. NA                                                                 
   2649 0. R DOES NOT BELIEVE LESS WILL BE SPENT ON ARMS AND                  
             DEFENSE. NO SECOND OR THIRD MENTION                              
                                                                              
==============================                                                
VAR MN0037    NAME- XRANK: INCRS FOREIGN AID                                  
              COLUMNS 56   - 56                                               
              NUMERIC                                                         
              MD GE 6                                                         
                                                                              
   Q57A.     HERE ARE SOME SUGGESTIONS THAT HAVE BEEN MADE. PLEASE            
             TELL ME WHICH USE OF THE MONEY APPEARS BEST TO YOU,              
             WHICH IS SECOND BEST, THIRD, ETC.                                
                                                                              
          SEE APPENDIX NOTE                                                   
                                                                              
        A. SHOULD BE USED TO INCREASE FINANCIAL HELP TO OTHER                 
           COUNTRIES.                                                         
                                                                              
   43   1. RANKED AS FIRST CHOICE                                             
   65   2. RANKED AS SECOND CHOICE                                            
   136  3. RANKED AS THIRD CHOICE                                             
   141  4. RANKED AS FOURTH CHOICE                                            
   769  5. RANKED AS FIFTH CHOICE                                             
   2    6. TIED FOR FIRST AND SECOND CHOICE 0R SECOND AND THIRD               
              CHOICE                                                          
   8    7. TIED FOR THIRD AND FOURTH CHOICE OR FOURTH AND FIFTH               
              CHOICE                                                          
   226  9. NA                                                                 
                                                                              
==============================                                                
VAR MN0038    NAME- XRANK: REDUCE GOVT DEBT                                   
              COLUMNS 57   - 57                                               
              NUMERIC                                                         
              MD GE 6                                                         
                                                                              
        B. SHOULD BE USED TO REDUCE GOVERNMENT DEBT                           
                                                                              
   275  1. RANKED AS FIRST CHOICE                                             
   195  2. RANKED AS SECOND CHOICE                                            
   223  3. RANKED AS THIRD CHOICE                                             
   398  4. RANKED AS FOURTH CHOICE                                            
   127  5. RANKED AS FIFTH CHOICE                                             
   5    6. TIED FOR FIRST AND SECOND CHOICE OR SECOND AND THIRD               
             CHOICE OR FIRST, SECOND AND THIRD PLACE                          
   9    7. TIED FOR THIRD AND FOURTH CHOICE OR FOURTH AND FIFTH               
             CHOICE OR THIRD, FOURTH AND FIFTH PLACE                          
   158  9. NA                                                                 
                                                                              
==============================                                                
VAR MN0039    NAME- XRANK: REDUCE INCOME TAXES                                
              COLUMNS 58   - 58                                               
              NUMERIC                                                         
              MD GE 6                                                         
                                                                              
        C. SHOULD BE USED TO REDUCE INCOME TAXES                              
                                                                              
   220  1. RANKED AS FIRST CHOICE                                             
   281  2. RANKED AS SECOND CHOICE                                            
   330  3. RANKED AS THIRD CHOICE                                             
   275  4. RANKED AS FOURTH CHOICE                                            
   126  5. RANKED AS FIFTH CHOICE                                             
   3    6. TIED FOR FIRST AND SECOND CHOICE OR SECOND AND THIRD               
             CHOICE                                                           
   10   7. TIED FOR THIRD AND FOURTH CHOICE OR FOURTH AND FIFTH               
             CHOICE                                                           
   145  9. NA                                                                 
                                                                              
==============================                                                
VAR MN0040    NAME- XRANK: BUILD SCHOOLS, HIWYS                               
              COLUMNS 59   - 59                                               
              NUMERIC                                                         
              MD GE 6                                                         
                                                                              
        D. SHOULD BE USED TO BUILD SCHOOLS, HIGHWAYS, AND THE LIKE.           
                                                                              
   332  1. RANKED AS FIRST CHOICE                                             
   423  2. RANKED AS SECOND CHOICE                                            
   304  3. RANKED AS THIRD CHOICE                                             
   150  4. RANKED AS FOURTH CHOICE                                            
   33   5. RANKED AS FIFTH CHOICE                                             
   4    6. TIED FOR FIRST AND SECOND CHOICE OR SECOND AND THIRD               
              CHOICE                                                          
   3    7. TIED FOR THIRD AND FOURTH CHOICE OR FOURTH AND FIFTH               
              CHOICE                                                          
   141  9. NA                                                                 
                                                                              
==============================                                                
VAR MN0041    NAME- XBANK: PUB WELFARE PROGRAMS                               
              COLUMNS 60   - 60                                               
              NUMERIC                                                         
              MD GE 6                                                         
                                                                              
        E. SHOULD BE USED FOR PUBLIC HELPARE PROGRAMS - TO HELP               
                                                                              
        NEEDY PEOPLE IN THE U.S.                                              
   426  1. RANKED AS FIRST CHOICE                                             
   317  2. RANKED AS SECOND CHOICE                                            
   237  3. RANKED AS THIRD CHOICE                                             
   192  4. RANKED AS FOURTH CHOICE                                            
   74   5. RANKED AS FIFTH CHOICE                                             
   4    6. TIED FOR FIRST AND SECOND CHOICE OR SECOND AND THIRD               
             CHOICE                                                           
   6    7. TIED FOR THIRD AND FOURTH CHOICE OR FOURTH AND FIFTH               
             CHOICE                                                           
   134  9. NA                                                                 
                                                                              
==============================                                                
VAR MN0042    NAME- IF $200 EXTRA, HOW TO SPEND                               
              COLUMNS 61   - 61                                               
              NUMERIC                                                         
              MD GE 7                                                         
                                                                              
   Q58. SUPPOSE IN THE NEXT YEAR YOUR FAMILY HAD SOME EXTRA MONEY--           
        SAY A FEW HUNDRED MORE THAN YOU HAD THIS PAST YEAR. WHAT              
        WOULD YOU DO WITH THIS MONEY?                                         
                                                                              
   853  1. SAVE ALL OF IT (INCLUDE DEBT REPAYMENT)                            
   125  2. SPEND ON ASSET (HOUSE, FARM, BUSINESS)                             
   330  3. SPEND ALL OF IT ON CONSUMER GOODS OR SERVICES, GIFTS,              
           DONATIONS                                                          
   45   4. SAVE SOME AND SPEND SOME                                           
   5    7. OTHER COMBINATIONS                                                 
   6    8. DK                                                                 
   26   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0043    NAME- HEAD'S OCCUPATION                                         
              COLUMNS 62   - 62                                               
              NUMERIC                                                         
              MD 0 OR GE9                                                     
                                                                              
   Q60, 60A. WHAT IS (HEAD'S) OCCUPATION.  (IF UNEMPLOYED) WHAT               
             KIND OF WORK DOES (HEAD) USUALLY DO.                             
                                                                              
   123  1. PROFESSIONAL, TECHNICAL OR KINDRED WORKERS                         
   195  2. SELF-EMPLOYED BUSINESSMEN AND ARTISANS. MANAGERS,                  
           OFFICIALS AND PROPRIETORS                                          
   150  3. CLERICAL AND KINDRED WORKERS, SALES PERSONNEL                      
   398  4. CRAFTSMEN, FOREMEN AND KINDRED WORKERS. OPERATIVES AND             
           KINDRED WORKERS                                                    
   69   5. LABORERS (INCLUDES FARM LABORERS)                                  
   80   6. SERVICE WORKERS                                                    
   81   7. PARK OPERATORS, FARM MANAGERS, FARM FOREMAN                        
   12   8. MEMBERS OF THE ARMED FORCES                                        
   34   9. NA                                                                 
   248  0. INAP. (E.G., RETIRED, HOUSEWIVES, STUDENTS AND THOSE WHO           
        HAVE NO JOB DUE TO PROLONGED ILLNESS)                                 
                                                                              
==============================                                                
VAR MN0044    NAME- DOES HEAD WORK FOR SELF                                   
              COLUMNS 63   - 63                                               
              NUMERIC                                                         
              MD 0 OR GE 9                                                    
                                                                              
   Q6OB. DOES (HEAD) WORK FOR HIMSELF OR SOMEONE ELSE.                        
                                                                              
   225  1. SELF                                                               
   885  2. SOMEONE ELSE                                                       
   3    3. BOTH, MAJOR JOB IS FOR SELF                                        
   2    4. BOTH, MAJOR JOB IS FOR SOMEONE ELSE                                
   4    5. BOTH, DK WHICH IS MAJOR J08                                        
   23   9. NA                                                                 
   248  0. INAP., CODED 0 ON REF. NO. 43                                      
                                                                              
==============================                                                
VAR MN0045    NAME- HEAD UNEMP SINCE JANUARY                                  
              COLUMNS 64   - 64                                               
              NUMERIC                                                         
              MD 0 OR GE 9                                                    
                                                                              
   Q62. HAS (HEAD) BEEN UNEMPLOYED OR LAID OFF AT ANY TIME SINCE              
        JANUARY 0F THIS YEAR.                                                 
                                                                              
   134  1. YES, SOME UNEMPLOYMENT                                             
   741  5. NO, NOT LAID OFF AT ALL                                            
   16   9. NA                                                                 
   499  0. INAP., CODED 1, 3, 9, OR 0 ON REF. NO. 44                          
                                                                              
==============================                                                
VAR MN0046    NAME- PARTY IDENTIFICATION                                      
              COLUMNS 65   - 65                                               
              NUMERIC                                                         
              MD GE 7                                                         
                                                                              
   Q.P1, 1A. GENERALLY SPEAKING, DO YOU USUALLY THINK OF YOURSELF             
             AS A REPUBLICAN, A DEMOCRAT, AN INDEPENDENT, OR WHAT.            
             (IF INDEPENDENT OR OTHER) DO YOU THINK OF YOURSELF AS            
             CLOSER TO REPUBLICAN OR DEMOCRATIC PARTY                         
                                                                              
   658  1. DEMOCRAT                                                           
   135  2. INDEPENDENT CLOSER TO DEMOCRATS (YES, DEMOCRAT TO Q.               
             P1A.)                                                            
   95   3. INDEPENDENT (NO, NEITHER TO Q. P1A)                                
   92   4. INDEPENDENT CLOSER TO REPUBLICANS (YES, REPUBLICANS TO Q.          
              P1A)                                                            
   343  5. REPUBLICAN                                                         
   4    7. OTHER. MINOR PARTY AND REFUSED TO SAY                              
   44   8. APOLITICAL                                                         
   19   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0048    NAME- R EXPECT TO VOTE IN NOV.                                  
              COLUMNS 67   - 67                                               
              NUMERIC                                                         
              MD O OR GE 8                                                    
                                                                              
   QP2. SO FAR AS YOU KNOW NOW, DO YOU EXPECT TO VOTE IN NOVEMBER OR          
        NOT.                                                                  
                                                                              
   73   1. YES, DEFINITELY                                                    
   529  2. YES                                                                
   12   3. YES, QUALIFIED (I THINK SO, GUESS SO, PROBABLY WILL)               
   3    4. PRO-CON, DEPENDS (I MAY, I MIGHT)                                  
   7    5. NO, QUALIFIED (PROBABLY NOT, I MIGHT BUT PROBABLY WON'T)           
   103  6. NO                                                                 
   42   7. NO, DEFINITELY                                                     
   4    8. DK                                                                 
   13   9. NA                                                                 
   604  0. INAP. (RESPONDENT INTERVIEWED AFTER PRESIDENTIAL                   
             ELECTION)                                                        
                                                                              
==============================                                                
VAR MN0049    NAME- R VOTE FOR PRES & FOR WHOM                                
              COLUMNS 68   - 68                                               
              NUMERIC                                                         
              MD 0 OR GE 6                                                    
                                                                              
   QP2A, 2B. HOW DO YOU THINK YOU WILL VOTE FOR PRESIDENT IN THIS             
             ELECTION. (IF PLANNING NOT TO VOTE OR UNDECIDED) IF              
             YOU WERE GOING TO VOTE, HOW DO YOU THINK YOU WOULD               
             VOTE FOR PRESIDENT IN THIS ELECTION.                             
                                                                              
   338  1. WILL VOTE DEMOCRATIC, FOR KENNEDY                                  
   7    2. WILL VOTE DEMOCRATIC, FOR KENNEDY, WITH QUALIFICATIONS             
   46   3. UNDECIDED, DEPENDS                                                 
   12   4. WILL VOTE REPUBLICAN, FOR NIXON, WITH QUALIFICATIONS               
   285  5. WILL VOTE REPUBLICAN, FOR NIXON                                    
   3    6. WILL VOTE FOR OTHER PARTY OR CANDIDATE                             
   16   7. REFUSED TO ANSWER                                                  
   47   8. DK                                                                 
   15   9. NA                                                                 
   621  0. INAP., CODED 8, 9 OR 0 ON REF. NO 48                               
                                                                              
==============================                                                
VAR MN0050    NAME- POST ELCTN-R VOTE FOR PRES                                
              COLUMNS 69   - 69                                               
              NUMERIC                                                         
              MD 0 OR GE 8                                                    
                                                                              
   Q.P3, 3A. DO YOU REMEMBER WHETHER OR NOT YOU VOTED IN THE                  
             NOVEMBER ELECTION. (IF 'YES, DID VOTE') HOW DID YOU              
             VOTE FOR PRESIDENT.                                              
                                                                              
   218  1. VOTED - DEMOCRATIC                                                 
   220  2. VOTED - REPUBLICAN                                                 
   2    3. VOTED - OTHER                                                      
   12   4. VOTED - REFUSED TO SAY                                             
   2    5. VOTED - DK FOR WHOM                                                
   2    6. VOTED - NA FOR WHOM                                                
   131  7. DID NOT VOTE                                                       
   4    8. DON'T REMEMBER IF VOTED                                            
   13   9. NA WHETHER VOTED                                                   
   786  0. INAP, (RESPONDENT INTERVIEWED BEFORE PRESIDENTIAL                  
              ELECTION)                                                       
                                                                              
==============================                                                
VAR MN0051    NAME- CHURCH PREFERENCE                                         
              COLUMNS 70   - 70                                               
              NUMERIC                                                         
              MD 9                                                            
                                                                              
   QP4. IS YOUR CHURCH PREFERENCE PROTESTANT, CATHOLIC, OR JEWISH?            
   9    0. NONE                                                               
   1000 1. PROTESTANT                                                         
   302  2. CATHOLIC                                                           
   56   3. JEWISH                                                             
   11   4. OTHER                                                              
   12   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0052    NAME- R GO TO CHUBCH REGULARLY                                  
              COLUMNS 71   - 71                                               
              NUMERIC                                                         
              MD 9                                                            
                                                                              
   QP5. WOULD YOU SAY YOU GO TO CHURCH REGULARLY, OFTEN, SELDOM, OR           
        NEVER.                                                                
   608  1. REGULARLY                                                          
   231  2. OFTEN                                                              
   447  3. SELDOM                                                             
   93   4. NEVER                                                              
   11   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0053    NAME- MARITAL STATUS OF HEAD                                    
              COLUMNS 72   - 72                                               
              NUMERIC                                                         
              MD 9                                                            
                                                                              
   QP6. MARITAL STATUS OF HEAD                                                
   341  1. SINGLE, WIDOWED, DIVORCED, SEPARATED                               
   1046 2. MARRIED                                                            
   3    9. NA                                                                 
                                                                              
==============================                                                
VAR MN0054    NAME- SEX OF RESPONDENT                                         
              COLUMNS 73   - 73                                               
              NUMERIC                                                         
              MD 9                                                            
                                                                              
   QP7. SEX OF RESPONDENT                                                     
   591  1. MALE                                                               
   781  2. FEMALE                                                             
   18   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0055    NAME- LIFE CYCLE                                                
              COLUMNS 74   - 74                                               
              NUMERIC                                                         
              MD 9                                                            
                                                                              
        LIFE CYCLE (BASED ON REF. NO. 53, AGE OF CHILDREN AND AGE OF          
        HEAD)                                                                 
                                                                              
   53   0. YOUNG (UNDER 45), SINGLE                                           
   61   1. YOUNG [UNDER 45), MARRIED, NO CHILDREN                             
   153  2. MARRIED, CHILDREN, YOUNGEST 1-1/2 YEARS OR LESS                    
   162  3. MARRIED, CHILDREN, YOUNGEST OVER 1-1/2 UP TO AND                   
        INCLUDING 4-1/2 YEARS                                                 
   285  4. MARRIED, CHILDREN, YOUNGEST OVER 4-1/2 YEARS UP TO AND             
        INCLUDING 14-1/2 YEARS                                                
   65   5. MARRIED, CHILDREN, YOUNGEST OVER 14-1/2 YEARS (UNDER 18)           
   322  6. OLDER (45 OR OVER), MARRIED, NO CHILDREN                           
   195  7. OLDER (45 OR OVER), SINGLE                                         
   83   8. OTHER (INCLUDES DIVORCED, WIDOWED OR OTHER UNMARRIED               
        PERSONS NITH CHILDREN)                                                
   11   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0056    NAME- EDUCATION OF HEAD                                         
              COLUMNS 75   - 75                                               
              NUMERIC                                                         
              MD 9                                                            
                                                                              
   Q.P9, A, B. C. EDUCATION OF HEAD                                           
                                                                              
          SEE APPENDIX NOTE                                                   
                                                                              
   453  1. GRADE SCHOOL (1-8). NONE                                           
   195  2. SOME HIGH SCHOOL                                                   
   71   3. SOME HIGH SCHOOL PLUS NON-ACADEMIC                                 
   242  4. COMPLETED HIGH SCHOOL                                              
   98   5. COMPLETED HIGH SCHOOL PLUS NON-ACADEMIC                            
   159  6. SOME COLLEGE                                                       
   156  7. HAS COLLEGE DEGREE                                                 
   16   9. NA                                                                 
                                                                              
==============================                                                
VAR MN0057    NAME- INC OF FAMILY IN 1960                                     
              COLUMNS 76   - 77                                               
              NUMERIC                                                         
              MD 99                                                           
                                                                              
   Q.P10.    WOULD YOU TELL ME HOW MUCH INCOME YOU AND YOUR FAMILY            
             WILL BE MAKING THIS CALENDAR YEAR, 1960. I MEAN BEFORE           
             TAXES. DOES THAT INCLUDE THE INCOME OF EVERYONE IN THE           
             FAMILY.                                                          
   87   10. UNDER $1,000                                                      
   122  11. $l,000-1,999                                                      
   132  12. $2,000-2,999                                                      
   148  13. $3,000-3,999                                                      
   154  14. $4,000-4,999                                                      
   188  15. $5,000-5,999                                                      
   176  16. $6,000-7,499                                                      
   162  17. $7,500-9,999                                                      
   119  18. $10,000-14,999                                                    
   25   19. $15,000-19,999                                                    
   24   20. $20,000 AND OVER                                                  
   53   99. NA                                                                
                                                                              
==============================                                                
VAR MN0058    NAME- RACE OF RESPONDENT                                        
              COLUMNS 78   - 78                                               
              NUMERIC                                                         
              MD 9                                                            
                                                                              
   Q.P11.    RACE OF RESPONDENT                                               
   1214 1. WHITE                                                              
   130  2. NEGRO                                                              
   17   7. OTHER. PUERTO RICAN, MEXICAN                                       
   29   9.  NA                                                                
                                                                              
==============================                                                
