WLS Codebooks and Flowcharts

Note: Codebooks contain frequency data from the private data release. For some variables, these differ from the frequencies in the public release. Variables that differ between the public and private versions include "(not available on public release)" as part of the variable description, or a note indicating the difference between the public and private versions.

1957 - Summary, Status, and Geography

agersp         Current age
schcode        School code of the high school graduate attended in 1957
pop57 - res57  Population information of respondent's residence


NOTE:  See Appendix A - Memo067 for a general selection of variables
       used for previous WLS publications.

NOTE:  See Appendix A - COR000a for Recoding of 1957 questionnaires (8/18/62) 
       and COR336at3 for Location of 1957 raw data: Status of variables and 
       recommendations for 1983 recoding.

agersp: Age of graduate.

Data source: Graduate Respondent      Collected in: 1957      Mode: SAQ
Source variables: iv
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
-3 NOT ASCERTAINED 187 215 402
15 - 45 Fifteen to forty-five years old 4804 5111 9915
Note: Actual age taken from original 1957 questionnaires.

schcode: School code of the high school graduate attended in 1957.

Data source: Graduate Respondent      Collected in: 1957      Mode: SAQ
Source variables: idswl
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
1001 - 1101 1034 1041 2075
1102 - 1190 984 1136 2120
1191 - 1269 1027 1042 2069
1270 - 1347 1000 1084 2084
1348 - 1455 946 1023 1969

pop57: 1957 Population of town in which graduate attended high school.

Data source: Graduate Respondent      Collected in: 1957      Mode: SAQ
Source variables: vi

Frequencies
Value Label Male Female Total
2 Under 1,000 780 808 1588
3 1,000 - 2,499 742 736 1478
4 2,500 - 9,999 1024 992 2016
5 10,000 - 24,999 505 509 1014
6 25,000 - 49,999 801 847 1648
7 50,000 - 99,999 328 432 760
8 100,000 - 150,000 (Madison) 144 154 298
9 Over 150,000 (Milwaukee) 667 848 1515
Note: R whose father is a farmer (RLUR57=1) is coded according
to the size of community in which he attended high school.
Hence, to make this variable comparable to RLUR57, nobody
is coded as "1".

rlur57: 1957 Population of town in which graduate attended high school with rural-urban distinction.

Data source: Graduate Respondent      Collected in: 1957      Mode: SAQ
Source variables: vi

Frequencies
Value Label Male Female Total
1 Rural - Graduate's father a farmer 930 951 1881
2 Under 1,000 468 466 934
3 1,000 - 2,499 470 466 936
4 2,500 - 9,999 767 761 1528
5 10,000 - 24,999 467 459 926
6 25,000 - 49,999 760 811 1571
7 50,000 - 99,999 325 422 747
8 100,000 - 150,000 (Madison) 140 149 289
9 Over 150,000 (Milwaukee) 664 841 1505
Note: Code 2 = population of town where R attended high school

res57: 1957 Residential area of graduate. Degree of urbanization.

Data source: Graduate Respondent      Collected in: 1957      Mode: SAQ
Source variables: vii

Frequencies
Value Label Male Female Total
1 Counties with no city over 2,500 574 596 1170
2 Counties with a city of 2,500-4,999 487 453 940
3 Counties with a city of 5,000-9,999 744 739 1483
4 Counties with a city of 10,000-24,999 346 355 701
5 Counties with a city of 25,000-49,999 1118 1177 2295
6 Metropolitan areas other than Madison and Milwaukee (Brown, Kenosha, Racine, Douglas counties) 428 522 950
7 Madison metropolitan area (Dane County) 235 239 474
8 Milwaukee metropolitan area (Milwaukee and Waukesha counties) 1059 1245 2304

Menu