Round 3
Round 4
Round 5
Round 6
Round 7
Round 8

1) Created weeks worked per job variables - Round 5 and Round 6
A review of the employment variables revealed that the weeks worked variables for respondents who worked at a job but took a break from it for a round or more such that it was not reported during the intervening round were missing the data from past rounds. This problem was confined to the round 5 and round 6 data and has been corrected for the round 7 main release. Variables that have been updated for 10 or more cases are listed below:

Round 5 Cases	Round 5 QNAME
45	CV_WKSWK_JOB_DLI.01
25	CV_WKSWK_JOB_DLI.02
11	CV_WKSWK_JOB_YR.01.97
23	CV_WKSWK_JOB_YR.01.98
35	CV_WKSWK_JOB_YR.01.99
11	CV_WKSWK_JOB_YR.02.98
19	CV_WKSWK_JOB_YR.02.99

Round 6 Cases	Round 6 QNAME
117	CV_WKSWK_JOB_DLI.01
65	CV_WKSWK_JOB_DLI.02
27	CV_WKSWK_JOB_DLI.03
63	CV_WKSWK_JOB_YR.01.00
11	CV_WKSWK_JOB_YR.01.01
17	CV_WKSWK_JOB_YR.01.97
34	CV_WKSWK_JOB_YR.01.98
68	CV_WKSWK_JOB_YR.01.99
34	CV_WKSWK_JOB_YR.02.00
11	CV_WKSWK_JOB_YR.02.97
12	CV_WKSWK_JOB_YR.02.98
43	CV_WKSWK_JOB_YR.02.99
13	CV_WKSWK_JOB_YR.03.00
13	CV_WKSWK_JOB_YR.03.98
12	CV_WKSWK_JOB_YR.03.99

2) Created jobs worked variables - Round 6
Due to a coding error in matching jobs across rounds, the number of all jobs per year (CV_TTL_JOB_YR_ALL.01/.02), the number of employer-type jobs per year (CV_TTL_JOB_YR_ET.01/.02), and the number of self-employed jobs per year (CV_TTL_JOB_YR_SE.01/.02) in 2001 and 2002 were incorrectly specified in the round 6 release. In addition, a small number of updates were made to the variables measuring the number of all adult jobs (CV_TTL_JOB_ADULT_ALL) and the number of adult employee-type jobs (CV_TTL_JOB_ADULT_ET). All of these variables have been updated in the round 7 main release.

3) Created hours worked variables - Round 6
Due to a small coding error, the CV_HOURS_WK_TEEN variable was updated for 328 respondents. This was corrected as of the round 7 main data release.

4) Created number of schools variables - Round 4 to Round 6
A small programming error caused the following variables to be incorrect in the round 6 event history release: CV_SCH_ATTEND_EVER (affects 15 in round 4, 38 in round 5, 57 in round 6) and CV_SCH_ATTEND_YR (affects 15 in round 4, 37 in round 5, 56 in round 6). These values were corrected for the round 7 main release.

5) Created migration variable - Round 6
A review of the migration variables revealed that the CV_MIGRATION.01 variable was miscoded for 26 respondents. This variable has been updated in the round 7 main release.

1) Schooling Event History Arrays - all rounds
Users who compare the round 6 NLSY97 Schooling Event History Arrays with round 7 data for the same time periods will see that a number of respondents have their schooling status changed from enrolled to not enrolled. After the round 6 schooling event histories were created, a detailed check was done to ensure an accurate set of created variables were being released. During the checking process a number of problems were uncovered that were fixed. Fixing these problems caused the schooling status changes.

The first issue found was that a number of respondents stated they were taking college courses but these individuals were not enrolled for a college degree. In addition some people were found to be taking GED courses at a college. Prior to the round 7 release all of these people were incorrectly marked as being enrolled in college, when in fact they were only sitting in a college classroom.

To fix this issue, code was added to all rounds. The code first captures the type of diploma the person is pursuing. If that degree is not a true college degree (i.e. not an associates, bachelors, or masters) then the respondent as of the round 7 release is marked as not enrolled.

The second issue was that a number of respondents were found taking high school courses after they reported having their high school graduation. Some of these classes were enrichment classes, while others appear to be misreported or inconsistent dates. Prior to round 7 these graduates were marked as being enrolled in high school, no matter what their degree status. To fix these issues the schooling event histories now consider someone enrolled in high school only until they graduate After high school graduation, all courses and dates that the respondent provides for high school classes are not included in the event histories.

The third issue found was that a number people were taking both college courses and attending secondary school at the same. Prior to the round 7 release the program gave priority to college and it marked the respondent in at least grade 13. As of the round 7 release, the event history program now considers secondary school a higher priority than college. In the data there are a number of respondents who took a few college courses during their high school years. Because college was given higher priority in the round 6 release and earlier these people, who were in 9th to 12th grade suddenly jumped to the 13th grade. If the college program lasted just one semester the respondent not only jumped ahead but also jumped backward in grades resulting in both extra promotions and extra grade regressions. By ensuring high school takes a higher priority these sharp transitions in the event histories are avoided.

1) Partners roster variable
Due to a documentation error, the year variables for start and stop date of cohabitation are missing for the 2002 and 2003 PARTNERS roster variables. These variables are included in the following file missingpartneryears.zip.

2) Created MSA variable - Round 6 and Round 7
The respondents residing abroad were miscoded as a valid skip (-4) in the round 6 and round 7 CV_MSA variables; the correct code is 5. This change will affect 27 respondents in round 6 and 23 respondents in round 7. These variables will be updated as of the round 7 event history release

3) Other parents roster variable
A number of the year 2002 variables on the OTHERPARENTS roster were inadvertently left off of the public data release. These variables are included in the following file missingotherparentsvars.zip

1) Respondent race variable
The code block for the round 6 respondent race variable SYMBOL!KEY!RACE (S15284.00) is incorrect. The correct code block and frequencies for this variable are listed below.

4562		1		White
2136		2		Black or African American
61		3		American Indian, Eskimo, or Aleut
153		4		Asian or Pacific Islander
178		5		Something else? (SPECIFY)
662		6		R REFUSES TO CLASSIFY RACE EXCEPT AS HISPANIC/LATINO
75		7		MIXED

Refusal	15
Don't Know	54

The above error is in the documentation only; no changes to the data are necessary. This error will be corrected in the next release of the NLSY97 data.

Three programming changes affected 69 respondents in round 1. First, a small number of previously unaccounted for within-job gaps were included in the program. This variable was also amended for respondents who reported an invalid month and a valid year to reflect the weeks worked in subsequent years. Finally, the respondent who was assigned an invalid skip in YEMP-200 was reassigned a 0 for all years rather than an invalid skip. Additionally, this update standardized this variable years for respondents who skipped out of the employment section due to age constraints. A 0 was assigned rather than a valid skip for these respondents in some years; this update imposed the same rule on all years.

In addition to reflecting the corrections made during round 1, the round 2 version of this variable was incorrectly calculated by the archivist for those who reported a job beginning before the date of the previous interview (e.g., back-reporters). There were 74 respondents affected by the round 2 changes.

Beginning in round 3, back-reported jobs were included as part of the program rather than hand editing each case. This program used the prior year's weeks arrays to generate the correct number of weeks worked. However, due to an incorrect input file, back-reported jobs included data from only those weeks per year reported in the previous round rather than the weeks per year previously reported across all rounds. For example, the new count reflected only the weeks worked in round 3 and round 2, but not round 1; this error continued through round 6. This correction resulted in the values of 126 respondents in round 3 begin updated to include all rounds of data. In round 4, 250 respondents were affected by this correction; in round 5 the number of respondents was 243; and in round 6, there were 235 respondents affected.

All updated data are in the following file:
CV_WKSWK_ERR.ZIP

The updated data by round are in the following files:
Round 1: CV_WKSWK_R1ERR.ZIP
Round 2: CV_WKSWK_R2ERR.ZIP
Round 3: CV_WKSWK_R3ERR.ZIP
Round 4: CV_WKSWK_R4ERR.ZIP
Round 5: CV_WKSWK_R5ERR.ZIP
Round 6: CV_WKSWK_R6ERR.ZIP

3) Created income and poverty variables
In the round 6 program that creates the CV_INCOME_GROSS_YR variable and the CV_HH_POV_RATIO variable, the CV_UI_YR.01 variables was mistakenly added into the total rather than that CV_AMT_UI_YR.01 variable. This change affected the CV_INCOME_GROSS_YR variable for 96 respondents and the CV_HH_POV_RATIO for 93 respondents. In addition, a change in the topcoded value resulted for additional respondents.

The updated data are in the following file:
CV_INC_POV_ERR.ZIP

4) Created residence variable
The round 6 created residence variable CV_TTL_RESIDENCES_EDT was updated to limit the data the 858 respondents who answered YCHR-1070. For all other respondents the data should have been a valid skip (-4).

CV_TTL_RESIDENCES_EDT_ERR.ZIP

1) Created highest grade completed variables - Round 2
Corrections were made to the values of the round 2 variables CV_HGC_EVER (793 cases) and CV_HGC_YEAR (794 cases). Most corrections reflect updates in cases where the respondent was read an incorrect grade for the highest grade completed during the round 1 interview, but the respondent did not corrected this information. Previously, CV_HGC_EVER was incorrectly coded using the loop information, which relies on a correct report from the round 1 interview, but now reflects the respondent's report of the highest grade completed since the round 1 interview. Additional corrections were made to standardize conditions used in creating these variables from round 3 to the present. The updated version of the round 2 program can be found in the following file: cvhgcR2_n.sas.

2) Created hours worked variables - Round 5
There were corrections to 67 respondents in the round 5 CV_HOURS_WK_ADULT_ET variable and 10 respondents in the round 5 CV_HOURS_WK_TEEN variable. These corrections were due to small coding errors in the program. The PUBIDs for the CV_HOURS_WK_ADULT_ET variable are the following: 335, 382, 426, 486, 539, 769, 962, 1072, 1085, 1226, 1274, 1343, 1534, 1576, 1790, 1854, 1860, 2011, 2076, 2163, 2403, 2568, 2579, 2679, 2744, 2829, 2869, 3132, 3312, 3325, 3337, 3548, 3650, 4131, 4179, 4206, 4276, 4489, 4561, 4563, 5094, 5132, 5146, 5222, 5658, 5721, 5998, 6214, 6459, 7061, 7147, 7191, 7192, 7227, 7393, 7478, 7614, 7865, 8027, 8240, 8312, 8481, 8535, 8565, 8572, 8582, and 8637. The PUBIDs for the CV_HOURS_WK_TEEN variable are the following: 2135, 2510, 2820, 3475, 4444, 5600, 5640, 6964, 10930, and 15755.

3) Created weeks worked variables - Round 5
Due to an incorrectly specified input variable, the round 5 weeks worked at a self-employed job (CV_WKSWK_YR_SE.02 for 2186 respondents) and at an employer job (CV_WKSWK_YR_ET.02 for 82 respondents) were overestimated for respondents who held both job types during these weeks. Respondents who only held one type of job were not affected. These variables were updated as of the round 6 main release.

4) Created fertility variables - All rounds
A review of the created fertility data revealed some between-round inconsistencies in coding when a respondent's children lived outside the household. The variables affected were the following: CV_BIO_CHILD_HH, CV_BIO_CHILD_NR, CV_CHILD_BIRTH_DATE~M, CV_CHILD_BIRTH_DATE~Y, CV_CHILD_BIRTH_MONTH, CV_CHILD_STATUS, CV_CHILD_DEATH_DATE~M, CV_CHILD_DEATH_DATE~Y, and CV_CHILD_DEATH_MONTH. Updates were made to the round 6 releases for the following respondents: R1 - 2310; R2 - 2310, 5848, 7138, 8228, 8625; R3 - 11, 441, 1580, 1854, 2310, 3299, 3806, 4119, 4120, 4468, 6653, 7138, 8037, 8066, 8246, 8346, 8701, 8748, 8781; R4 - 441, 769, 2310, 3299, 7138, 7675, 8037, 8052, 8346, 8729; R5 - 227, 441, 2310, 3299, 5325, 6491, 7138, 8052, 8346, 8729.

5) Created hourly wage and created hourly compensation variables - All rounds
Corrections reflect (1) a standardization of the wage programs across all rounds, (2) the addition of wages from previous rounds when the jobs lasts less than 13 weeks in total and spans two rounds, and (3) small coding errors.

Observations affected by changes to the hourly wage variable (CV_HRLY_PAY.xx):
R2: job 1 =59, job 2=41, job 3=26, job 4=17, job 5=4, job 6=4, job 7=1;
R3: job 1 =50, job 2=70, job 3=46, job 4=24, job 5=6, job 6=3, job 7=2;
R4: job 1 =102, job 2=143, job 3=95, job 4=49, job 5=17, job 6=6, job 7=3, job 8=1;
R5: job 1 =44, job 2=18, job 3=3, job 4=1, job 5=1.

Observations affected by changes to the hourly compensation variable (CV_HRLY_COMPENSATION.xx):
R2: job 1=177, job 2=83, job 3=36, job 4=22, job 5=8, job 6=4, job 7=1;
R3: job 1 =226, job 2=112, job 3=50, job 4=24, job 5=5, job 6=2, job 7=3;
R4: job 1 =280, job 2=204, job 3=106, job 4=50, job 5=14, job 6=6, job 7=1, job8=2;
R5: job 1 =1, job 2=5, job 3=1, job 4=4, job 6=1, job 8=1.

1) Reference Number changes - Event History Arrays for the year 2000
Due to data processing constraints, the reference numbers (refum) for the event history arrays referring to year 2000 data were changed between the round 5 release and the round 6 release. The file R6EH_RUNM.xls contains a crosswalk between the round 5 and the round 6 rnumbers. Click here to download R6EH_RUNM.xls in a new window.

2) Created net worth variables - Round 4, Round 5, and Round 6
A small coding error in the CV_HH_NET_WORTH_Y program used in previous rounds was discovered. The previously released data included both the amount of a loan from friends, etc... (YAST-3812) and the amount of the loan not paid back (YAST-3882) rather than including only the amount still owed. Incorrect data in round 4 (pubid=539, 2273), in round 5 (pubid=1838, 2601, 3897, 3957, 4072, 4140, 8640) and in round 6 (pubid=2704, 3897, 4191, 4891, 5495, 6424) were updated in the October 2004 release.

3) County City Data Book variables - Round 6 and beyond
County level data from the County City Data Book will no longer be included on the NLSY97 geocode release. Users wishing to use these data will find the 2000 edition of the County City Data Book is available from the U.S. Census Bureau at http://www.census.gov/statab/www/ccdb.html.

4) Created enrollment variable - Round 6
During preparation for the round 6 event history release, it was discovered that the created enrollment variable (CV_ENROLLSTAT) contained a coding error that incorrectly listed the status of 47 respondents as not enrolled. This error was corrected in the round 6 event history release. The PUBIDs of the respondents affected by the CV_ENROLLSTAT changes are the following: 753, 855, 1008, 1054, 1410, 1516, 1709, 2083, 3009, 3181, 3301, 3555, 3784, 3865, 3968, 4067, 4116, 4346, 4459, 4942, 5464, 5798, 5860, 5973, 6002, 6065, 6237, 6487, 6518, 6579, 6687, 6777, 6826, 7050, 7227, 7259, 7582, 8194, 8221, 8501, 8724, 8727, 8833, 8922, 8944, 8947, and 9021.

5) Sampling weight variables - Round 6

Following the round 6 release, it was discovered that the documentation was reversed for the following round 6 variables: SAMPLING_WEIGHT_CC and SAMPLING_PANEL_WEIGHT. This documentation is correct on the round 6 event history release.

A programming error in the code that creates this variable inadvertently counted the number of schools the respondent attended as of June 2000 rather than the correct date of June 2001. Updating this variable to reflect the correct date affected the number of schools attended by 140 respondents. Most (130 respondents) attended 1 additional school, while five respondents attended two additional schools. The data in the R5M_NumSch.dat file fixes this problem. Researchers should use the CV_SCH_ATTEND_YR variable in this file rather than the variable presently contained on the August 2003 version of the NLSY97 Event History data.

The Rnumber that corresponds to this variable is the following: R7237600 [CV_SCH_ATTEND_YR]

cv_sch_attend_yr.dat. The complete data file.

Two mistakes in the round 5 NLSY97 Schooling Event History Arrays have been fixed. The round five public release has a large number of illegal skips (-3) in the enrollment arrays. These illegal skips values were set to unknown by the program that creates the schooling histories but were accidentally converted to illegal skip upon public release. Researchers using the fixed data will see, instead of illegal skips, respondents flagged as not enrolled.

The second error is that some of the semesters respondents spent in college were not included in the event histories. The semesters that were not included were those whose start dates were not explicitly stated. The NLSY97 questionnaire tries to elicit the starting date of every college semester, but it is possible for respondents to indicate that they are still in college and by-pass the start date questions. Semester start and stop dates are now estimated for respondents who by-pass this portion of the questionnaire.

Fixed data monthly schooling data will be integrated with the NLSY97 round 6 event history release.

sch_eh.cdb. The codebook file.
sch_eh.dat. The complete data file.
sch_eh.sas. The SAS file for sch_eh.dat.
sch_eh.sps. The SPSS file for sch_eh.dat.

sch_eh.zip. Download the complete set of the above files.

An event history file that updates the hours worked per week did not load into the data set properly which caused data for select respondents to be missing from the tenth week of 2000 (EMP_HOURS_2000.10) to the twenty-second week of 2001 (EMP_HOURS_2001.22). Previously, these data were available only for respondents whose round 4 interview date occurred after the 22nd week of 2001; from the 23rd week of 2001, the data were available for all respondents, regardless of interview week. The files in the R5EH_hrs_update file fix this problem. Researchers should use the EMP_HOURS_2000.10 to the EMP_HOURS_2001.22 variables in this file rather than the variables presently in the August 2003 version of the NLSY97 Event History data.

The Rnumbers that correspond to these variables are the following:

R8814700 [EMP_HOURS_2000.10] to R8819000 [EMP_HOURS_2000.53] and
R8909400 [EMP_HOURS_2001.01] to R8911500 [EMP_HOURS_2001.22]

emp_hours.cdb. The codebook file.
emp_hours.dat. The complete data file.
emp_hours.sas. The SAS file for emp_hours.dat.
emp_hours.sps. The SPSS file for emp_hours.dat.

r5eh_hrs_update.zip. Download the complete set of the above files.

In the NLSY97 data released May 2003, the codebook page for the variable CV_AGE_INT_DATE incorrectly lists the frequencies for this variable. The data for this variable are correct and the documentation has been updated on the Round 5 Event History Release.

newschcode.dat. The complete data file.
newschcode.sas. The SAS file for newschool.dat.
newschcode.sps. The SPSS file for newschool.dat.

newschcode.zip. Download the complete set of the above files.

A) Errors in the R3 event history
     Incorrect codebook codes - ASVAB data
B) Changes between R3 main file release and R3 event history release
     1) Parent age variable - round 1
     2) Household Roster Changes - round 1
     3) Nonresident Roster Changes
     4) Created Variable Changes due to Household Roster and Nonresident Roster Changes
     5) School Roster Changes - rounds 2 and 3
     6) MILCODE and MILFLAG variables - rounds 2 and 3
     7) Changes to employment created variables
C) Changes between R2 event history release and R3 event history release
     1) Youth Roster variables - round 1
     2) Parent Family Background Mark All that Apply Questions - round 1
     3) Merging of Parent data into Youth respondent data record - round 1
     4) School Roster Changes - round 2
D) Geocode variables
E) Corrections between the round 3 main and round 3 event history releases
F) Corrections between the round 2 event history and round 3 event history releases
G) Event History changes
H) Variables added to the NLSY97 data since the round 3 main release
I) Round 1 and round 2 variables added to the NLSY97 since round 2 event history release
J) Variables have been dropped from the NLSY97

A) Errors in the R3 event history release to be corrected in the R4 main file release

1) Incorrect codebook codes - ASVAB data

The codebBook codes for ASVAB_AVG_GRADE_REC are incorrect. The label 'Mostly As' is currently paired with the value of 8 but it should be paired with the value of 1; the value of 8 should have been paired with the label 'Mostly below Ds'. The label 'Half As and Bs' is currently paired with the value of 7 but should be paired with the value of 2; the value of 7 should have been paired with the label 'Half Cs and Ds'. Thus, the values are correct, but users will need to correct the label until the next CD comes out.

B) Significant changes made between the R3 main file release and R3 event history release

1) Parent age variable - round 1

This variable saves the date at which the responding parent turns 18. The months that were previously set to zero have now been set to -3. Listed below are the affected variable and the affected number of cases.

R0593000

P3-100_M

54 cases

2) Household Roster Changes - round 1

A substantial number of changes have been made to many of the round 1 Household roster variables. Most of these changes have involved recoding missing information from a zero to a -4 (valid skip). A much smaller number of changes have been made where discrepancies have been found between Household Roster information and Nonresident roster information, particularly in respect to the duplication of persons on these rosters. Most of the invalid duplication of persons has occurred on the Nonresident roster, bu t we have also found it necessary to remove a small number of duplicate persons from the Household roster Listed below are the affected variables and the affected number of cases.

R1089800	HHI2_EMPLOYED.01	5675 cases
R1089900	HHI2_EMPLOYED.02	3977 cases
R1090000	HHI2_EMPLOYED.03	1434 cases
R1090100	HHI2_EMPLOYED.04	2138 cases
R1090200	HHI2_EMPLOYED.05	2191 cases
R1090300	HHI2_EMPLOYED.06	1265 cases
R1090400	HHI2_EMPLOYED.07	617 cases
R1090500	HHI2_EMPLOYED.08	346 cases
R1090600	HHI2_EMPLOYED.09	164 cases
R1090700	HHI2_EMPLOYED.10	95 cases
R1099400	HHI2_HIGHGRADE.01	8343 cases
R1099500	HHI2_HIGHGRADE.02	3884 cases
R1099600	HHI2_HIGHGRADE.03	1096 cases
R1099700	HHI2_HIGHGRADE.04	1048 cases
R1099800	HHI2_HIGHGRADE.05	833 cases
R1099900	HHI2_HIGHGRADE.06	278 cases
R1100000	HHI2_HIGHGRADE.07	95 cases
R1100100	HHI2_HIGHGRADE.08	26 cases
R1100200	HHI2_HIGHGRADE.09	7 cases
R1100300	HHI2_HIGHGRADE.10	3 cases
R1104200	HHI2_MARSTAT.01	5644 cases
R1104300	HHI2_MARSTAT.02	3949 cases
R1104400	HHI2_MARSTAT.03	1369 cases
R1104500	HHI2_MARSTAT.04	2053 cases
R1104600	HHI2_MARSTAT.05	2149 cases
R1104700	HHI2_MARSTAT.06	1161 cases
R1104800	HHI2_MARSTAT.07	607 cases
R1104900	HHI2_MARSTAT.08	339 cases
R1105000	HHI2_MARSTAT.09	157 cases
R1105100	HHI2_MARSTAT.10	87 cases
R1105200	HHI2_MARSTAT.11	40 cases
R1105300	HHI2_MARSTAT.12	15 cases
R1105400	HHI2_MARSTAT.13	12 cases
R1131900	HHI2_REL2.01	1 case
R1134200	HHI2_REL3.01	2 cases
R1162100	HHI2_UID.01	16 cases
R1162200	HHI2_UID.02	16 cases
R1162300	HHI2_UID.03	16 cases
R1162400	HHI2_UID.04	16 cases
R1162500	HHI2_UID.05	9 cases
R1162600	HHI2_UID.06	7 cases
R1162700	HHI2_UID.07	2 cases
R1162800	HHI2_UID.08	2 cases

3) Nonresident Roster Changes - rounds 1 through 3

A substantial number of changes to the nonresident roster variables have been made to achieve three main purposes: 1) to eliminate duplicate persons from the roster; 2) to correct information that was wrong in earlier versions; and 3) to add information which was previously missing from the roster but which did exist in the original "raw" screener questions. Listed below are the affected variable and the affected number of cases.

R1163700	NONHHI_AGE.01	6 cases
R1163800	NONHHI_AGE.02	25 cases
R1163900	NONHHI_AGE.03	35 cases
R1164000	NONHHI_AGE.04	56 cases
R1164100	NONHHI_AGE.05	48 cases
R1164200	NONHHI_AGE.06	64 cases
R1164300	NONHHI_AGE.07	43 cases
R1164400	NONHHI_AGE.08	72 cases
R1164500	NONHHI_AGE.09	46 cases
R1164600	NONHHI_AGE.10	38 cases
R1164700	NONHHI_AGE.11	35 cases
R1164800	NONHHI_AGE.12	39 cases
R1164900	NONHHI_AGE.13	24 cases
R1165000	NONHHI_AGE.14	21 cases
R1165100	NONHHI_AGE.15	21 cases
R1165200	NONHHI_AGE.16	13 cases
R1165300	NONHHI_AGE.17	12 cases
R1165400	NONHHI_AGE.18	7 cases
R1165500	NONHHI_AGE.19	4 cases
R1165600	NONHHI_AGE.20	4 cases
R1165700	NONHHI_AGE.21	2 cases
R1166000	NONHHI_DECEASED.01	6 cases
R1166100	NONHHI_DECEASED.02	13 cases
R1166200	NONHHI_DECEASED.03	27 cases
R1166300	NONHHI_DECEASED.04	45 cases
R1166400	NONHHI_DECEASED.05	44 cases
R1166500	NONHHI_DECEASED.06	62 cases
R1166600	NONHHI_DECEASED.07	42 cases
R1166700	NONHHI_DECEASED.08	70 cases
R1166800	NONHHI_DECEASED.09	45 cases
R1166900	NONHHI_DECEASED.10	39 cases
R1167000	NONHHI_DECEASED.11	35 cases
R1167100	NONHHI_DECEASED.12	39 cases
R1167200	NONHHI_DECEASED.13	24 cases
R1167300	NONHHI_DECEASED.14	21 cases
R1167400	NONHHI_DECEASED.15	21 cases
R1167500	NONHHI_DECEASED.16	13 cases
R1167600	NONHHI_DECEASED.17	12 cases
R1167700	NONHHI_DECEASED.18	7 cases
R1168300	NONHHI_DEGREE.01	705 cases
R1168400	NONHHI_DEGREE.02	420 cases
R1168500	NONHHI_DEGREE.03	295 cases
R1168600	NONHHI_DEGREE.04	214 cases
R1168700	NONHHI_DEGREE.05	139 cases
R1168800	NONHHI_DEGREE.06	92 cases
R1168900	NONHHI_DEGREE.07	66 cases
R1169000	NONHHI_DEGREE.08	31 cases
R1169100	NONHHI_DEGREE.09	36 cases
R1169200	NONHHI_DEGREE.10	17 cases
R1169300	NONHHI_DEGREE.11	7 cases
R1169400	NONHHI_DEGREE.12	7 cases
R1169500	NONHHI_DEGREE.13	7 cases
R1169600	NONHHI_DEGREE.14	4 cases
R1169700	NONHHI_DEGREE.15	1 case
R1169800	NONHHI_DEGREE.16	4 cases
R1170000	NONHHI_DEGREE.18	1 case
R1170400	NONHHI_EMPLOYED.01	705 cases
R1170500	NONHHI_EMPLOYED.02	385 cases
R1170600	NONHHI_EMPLOYED.03	263 cases
R1170700	NONHHI_EMPLOYED.04	177 cases
R1170800	NONHHI_EMPLOYED.05	125 cases
R1170900	NONHHI_EMPLOYED.06	80 cases
R1171000	NONHHI_EMPLOYED.07	61 cases
R1171100	NONHHI_EMPLOYED.08	29 cases
R1171200	NONHHI_EMPLOYED.09	37 cases
R1171300	NONHHI_EMPLOYED.10	17 cases
R1171400	NONHHI_EMPLOYED.11	7 cases
R1171500	NONHHI_EMPLOYED.12	7 cases
R1171600	NONHHI_EMPLOYED.13	7 cases
R1171700	NONHHI_EMPLOYED.14	4 cases
R1171800	NONHHI_EMPLOYED.15	1 case
R1171900	NONHHI_EMPLOYED.16	4 cases
R1172100	NONHHI_EMPLOYED.18	1 case
R1172500	NONHHI_ETHNICITY.01	702 cases
R1172600	NONHHI_ETHNICITY.02	385 cases
R1172700	NONHHI_ETHNICITY.03	263 cases
R1172800	NONHHI_ETHNICITY.04	177 cases
R1172900	NONHHI_ETHNICITY.05	125 cases
R1173000	NONHHI_ETHNICITY.06	80 cases
R1173100	NONHHI_ETHNICITY.07	61 cases
R1173200	NONHHI_ETHNICITY.08	29 cases
R1173300	NONHHI_ETHNICITY.09	37 cases
R1173400	NONHHI_ETHNICITY.10	17 cases
R1173500	NONHHI_ETHNICITY.11	7 cases
R1173600	NONHHI_ETHNICITY.12	7 cases
R1173700	NONHHI_ETHNICITY.13	7 cases
R1173800	NONHHI_ETHNICITY.14	4 cases
R1173900	NONHHI_ETHNICITY.15	1 case
R1174000	NONHHI_ETHNICITY.16	4 cases
R1174200	NONHHI_ETHNICITY.18	1 case
R1174600	NONHHI_FLAG.01	7 cases
R1174700	NONHHI_FLAG.02	27 cases
R1174800	NONHHI_FLAG.03	35 cases
R1174900	NONHHI_FLAG.04	54 cases
R1175000	NONHHI_FLAG.05	47 cases
R1175100	NONHHI_FLAG.06	63 cases
R1175200	NONHHI_FLAG.07	42 cases
R1175300	NONHHI_FLAG.08	71 cases
R1175400	NONHHI_FLAG.09	46 cases
R1175500	NONHHI_FLAG.10	39 cases
R1175600	NONHHI_FLAG.11	35 cases
R1175700	NONHHI_FLAG.12	39 cases
R1175800	NONHHI_FLAG.13	24 cases
R1175900	NONHHI_FLAG.14	21 cases
R1176000	NONHHI_FLAG.15	21 cases
R1176100	NONHHI_FLAG.16	13 cases
R1176200	NONHHI_FLAG.17	12 cases
R1176300	NONHHI_FLAG.18	7 cases
R1176400	NONHHI_FLAG.19	4 cases
R1176500	NONHHI_FLAG.20	4 cases
R1176600	NONHHI_FLAG.21	2 cases
R1176900	NONHHI_HIGHGRADE.01	702 cases
R1177000	NONHHI_HIGHGRADE.02	428 cases
R1177100	NONHHI_HIGHGRADE.03	301 cases
R1177200	NONHHI_HIGHGRADE.04	215 cases
R1177300	NONHHI_HIGHGRADE.05	142 cases
R1177400	NONHHI_HIGHGRADE.06	92 cases
R1177500	NONHHI_HIGHGRADE.07	67 cases
R1177600	NONHHI_HIGHGRADE.08	31 cases
R1177700	NONHHI_HIGHGRADE.09	37 cases
R1177800	NONHHI_HIGHGRADE.10	17 cases
R1177900	NONHHI_HIGHGRADE.11	8 cases
R1178000	NONHHI_HIGHGRADE.12	7 cases
R1178100	NONHHI_HIGHGRADE.13	7 cases
R1178200	NONHHI_HIGHGRADE.14	4 cases
R1178300	NONHHI_HIGHGRADE.15	1 case
R1178400	NONHHI_HIGHGRADE.16	4 cases
R1178600	NONHHI_HIGHGRADE.18	1 case
R1179900	NONHHI_MARSTAT.01	7 cases
R1180000	NONHHI_MARSTAT.02	25 cases
R1180100	NONHHI_MARSTAT.03	35 cases
R1180200	NONHHI_MARSTAT.04	55 cases
R1180300	NONHHI_MARSTAT.05	48 cases
R1180400	NONHHI_MARSTAT.06	64 cases
R1180500	NONHHI_MARSTAT.07	43 cases
R1180600	NONHHI_MARSTAT.08	72 cases
R1180700	NONHHI_MARSTAT.09	46 cases
R1180800	NONHHI_MARSTAT.10	38 cases
R1180900	NONHHI_MARSTAT.11	35 cases
R1181000	NONHHI_MARSTAT.12	39 cases
R1181100	NONHHI_MARSTAT.13	24 cases
R1181200	NONHHI_MARSTAT.14	21 cases
R1181300	NONHHI_MARSTAT.15	21 cases
R1181400	NONHHI_MARSTAT.16	13 cases
R1181500	NONHHI_MARSTAT.17	12 cases
R1181600	NONHHI_MARSTAT.18	7 cases
R1181700	NONHHI_MARSTAT.19	4 cases
R1181800	NONHHI_MARSTAT.20	4 cases
R1181900	NONHHI_MARSTAT.21	2 cases
R1184500	NONHHI_RACE.01	705 cases
R1184600	NONHHI_RACE.02	385 cases
R1184700	NONHHI_RACE.03	263 cases
R1184800	NONHHI_RACE.04	177 cases
R1184900	NONHHI_RACE.05	125 cases
R1185000	NONHHI_RACE.06	80 cases
R1185100	NONHHI_RACE.07	61 cases
R1185200	NONHHI_RACE.08	29 cases
R1185300	NONHHI_RACE.09	37 cases
R1185400	NONHHI_RACE.10	17 cases
R1185500	NONHHI_RACE.11	7 cases
R1185600	NONHHI_RACE.12	7 cases
R1185700	NONHHI_RACE.13	7 cases
R1185800	NONHHI_RACE.14	4 cases
R1185900	NONHHI_RACE.15	1 case
R1186000	NONHHI_RACE.16	4 cases
R1186200	NONHHI_RACE.18	1 case
R1186600	NONHHI_RELATION.01	9 cases
R1186700	NONHHI_RELATION.02	25 cases
R1186800	NONHHI_RELATION.03	24 cases
R1186900	NONHHI_RELATION.04	14 cases
R1187000	NONHHI_RELATION.05	12 cases
R1187100	NONHHI_RELATION.06	5 cases
R1187200	NONHHI_RELATION.07	2 cases
R1187300	NONHHI_RELATION.08	2 cases
R1187600	NONHHI_RELATION.11	1 case
R1187700	NONHHI_RELATION.12	1 case
R1187800	NONHHI_RELATION.13	1 case
R1187900	NONHHI_RELATION.14	1 case
R1188000	NONHHI_RELATION.15	1 case
R1188400	NONHHI_SEX.01	7 cases
R1188500	NONHHI_SEX.02	26 cases
R1188600	NONHHI_SEX.03	35 cases
R1188700	NONHHI_SEX.04	55 cases
R1188800	NONHHI_SEX.05	48 cases
R1188900	NONHHI_SEX.06	64 cases
R1189000	NONHHI_SEX.07	43 cases
R1189100	NONHHI_SEX.08	72 cases
R1189200	NONHHI_SEX.09	46 cases
R1189300	NONHHI_SEX.10	39 cases
R1189400	NONHHI_SEX.11	35 cases
R1189500	NONHHI_SEX.12	39 cases
R1189600	NONHHI_SEX.13	24 cases
R1189700	NONHHI_SEX.14	21 cases
R1189800	NONHHI_SEX.15	21 cases
R1189900	NONHHI_SEX.16	13 cases
R1190000	NONHHI_SEX.17	12 cases
R1190100	NONHHI_SEX.18	7 cases
R1190200	NONHHI_SEX.19	4 cases
R1190300	NONHHI_SEX.20	4 cases
R1190400	NONHHI_SEX.21	2 cases
R1190700	NONHHI_UID.01	9 cases
R1190800	NONHHI_UID.02	29 cases
R1190900	NONHHI_UID.03	37 cases
R1191000	NONHHI_UID.04	56 cases
R1191100	NONHHI_UID.05	49 cases
R1191200	NONHHI_UID.06	65 cases
R1191300	NONHHI_UID.07	44 cases
R1191400	NONHHI_UID.08	73 cases
R1191500	NONHHI_UID.09	47 cases
R1191600	NONHHI_UID.10	39 cases
R1191700	NONHHI_UID.11	35 cases
R1191800	NONHHI_UID.12	39 cases
R1191900	NONHHI_UID.13	24 cases
R1192000	NONHHI_UID.14	21 cases
R1192100	NONHHI_UID.15	21 cases
R1192200	NONHHI_UID.16	13 cases
R1192300	NONHHI_UID.17	12 cases
R1192400	NONHHI_UID.18	7 cases
R1192500	NONHHI_UID.19	4 cases
R1192600	NONHHI_UID.20	4 cases
R1192700	NONHHI_UID.21	2 cases
R2420500	NONHHI_AGE.01	444 cases
R2420600	NONHHI_AGE.02	175 cases
R2420700	NONHHI_AGE.03	94 cases
R2420800	NONHHI_AGE.04	84 cases
R2420900	NONHHI_AGE.05	54 cases
R2421000	NONHHI_AGE.06	31 cases
R2421100	NONHHI_AGE.07	26 cases
R2421200	NONHHI_AGE.08	22 cases
R2421300	NONHHI_AGE.09	15 cases
R2421400	NONHHI_AGE.10	16 cases
R2421500	NONHHI_AGE.11	10 cases
R2421600	NONHHI_AGE.12	12 cases
R2421700	NONHHI_AGE.13	11 cases
R2421800	NONHHI_AGE.14	8 cases
R2421900	NONHHI_AGE.15	7 cases
R2422000	NONHHI_AGE.16	6 cases
R2422100	NONHHI_AGE.17	5 cases
R2422200	NONHHI_AGE.18	4 cases
R2422300	NONHHI_AGE.19	3 cases
R2422400	NONHHI_AGE.20	1 case
R2422500	NONHHI_AGE.21	1 case
R2422600	NONHHI_AGE.22	2 cases
R2422700	NONHHI_AGE.23	1 case
R2422800	NONHHI_AGE.24	1 case
R2422900	NONHHI_AGE.25	1 case
R2423000	NONHHI_AGE.26	1 case
R2425700	NONHHI_ETHNICITY.01	453 cases
R2425800	NONHHI_ETHNICITY.02	183 cases
R2425900	NONHHI_ETHNICITY.03	138 cases
R2426000	NONHHI_ETHNICITY.04	84 cases
R2426100	NONHHI_ETHNICITY.05	63 cases
R2426200	NONHHI_ETHNICITY.06	43 cases
R2426300	NONHHI_ETHNICITY.07	16 cases
R2426400	NONHHI_ETHNICITY.08	17 cases
R2426500	NONHHI_ETHNICITY.09	11 cases
R2426600	NONHHI_ETHNICITY.10	5 cases
R2426700	NONHHI_ETHNICITY.11	3 cases
R2426800	NONHHI_ETHNICITY.12	4 cases
R2426900	NONHHI_ETHNICITY.13	1 case
R2427000	NONHHI_ETHNICITY.14	2 cases
R2427100	NONHHI_ETHNICITY.15	1 case
R2427200	NONHHI_ETHNICITY.16	2 cases
R2433000	NONHHI_HHFLAG.01	458 cases
R2433100	NONHHI_HHFLAG.02	193 cases
R2433200	NONHHI_HHFLAG.03	151 cases
R2433300	NONHHI_HHFLAG.04	140 cases
R2433400	NONHHI_HHFLAG.05	112 cases
R2433500	NONHHI_HHFLAG.06	99 cases
R2433600	NONHHI_HHFLAG.07	68 cases
R2433700	NONHHI_HHFLAG.08	72 cases
R2433800	NONHHI_HHFLAG.09	50 cases
R2433900	NONHHI_HHFLAG.10	44 cases
R2434000	NONHHI_HHFLAG.11	30 cases
R2434100	NONHHI_HHFLAG.12	34 cases
R2434200	NONHHI_HHFLAG.13	26 cases
R2434300	NONHHI_HHFLAG.14	21 cases
R2434400	NONHHI_HHFLAG.15	20 cases
R2434500	NONHHI_HHFLAG.16	16 cases
R2434600	NONHHI_HHFLAG.17	11 cases
R2434700	NONHHI_HHFLAG.18	7 cases
R2434800	NONHHI_HHFLAG.19	4 cases
R2435000	NONHHI_HHFLAG.21	3 cases
R2435100	NONHHI_HHFLAG.22	2 cases
R2435200	NONHHI_HHFLAG.23	1 case
R2435700	NONHHI_MARSTAT.01	459 cases
R2435800	NONHHI_MARSTAT.02	191 cases
R2435900	NONHHI_MARSTAT.03	147 cases
R2436000	NONHHI_MARSTAT.04	137 cases
R2436100	NONHHI_MARSTAT.05	109 cases
R2436200	NONHHI_MARSTAT.06	93 cases
R2436300	NONHHI_MARSTAT.07	67 cases
R2436400	NONHHI_MARSTAT.08	68 cases
R2436500	NONHHI_MARSTAT.09	50 cases
R2436600	NONHHI_MARSTAT.10	42 cases
R2436700	NONHHI_MARSTAT.11	30 cases
R2436800	NONHHI_MARSTAT.12	32 cases
R2436900	NONHHI_MARSTAT.13	26 cases
R2437000	NONHHI_MARSTAT.14	21 cases
R2437100	NONHHI_MARSTAT.15	20 cases
R2437200	NONHHI_MARSTAT.16	16 cases
R2437300	NONHHI_MARSTAT.17	11 cases
R2437400	NONHHI_MARSTAT.18	7 cases
R2437500	NONHHI_MARSTAT.19	4 cases
R2437700	NONHHI_MARSTAT.21	3 cases
R2437800	NONHHI_MARSTAT.22	2 cases
R2437900	NONHHI_MARSTAT.23	1 case
R2440900	NONHHI_RACE.01	453 cases
R2441000	NONHHI_RACE.02	183 cases
R2441100	NONHHI_RACE.03	138 cases
R2441200	NONHHI_RACE.04	83 cases
R2441300	NONHHI_RACE.05	63 cases
R2441400	NONHHI_RACE.06	43 cases
R2441500	NONHHI_RACE.07	16 cases
R2441600	NONHHI_RACE.08	17 cases
R2441700	NONHHI_RACE.09	11 cases
R2441800	NONHHI_RACE.10	5 cases
R2441900	NONHHI_RACE.11	3 cases
R2442000	NONHHI_RACE.12	4 cases
R2442100	NONHHI_RACE.13	1 case
R2442200	NONHHI_RACE.14	2 cases
R2442300	NONHHI_RACE.15	1 case
R2442400	NONHHI_RACE.16	2 cases
R2443000	NONHHI_RELY.01	460 cases
R2443100	NONHHI_RELY.02	194 cases
R2443200	NONHHI_RELY.03	131 cases
R2443300	NONHHI_RELY.04	97 cases
R2443400	NONHHI_RELY.05	67 cases
R2443500	NONHHI_RELY.06	43 cases
R2443600	NONHHI_RELY.07	23 cases
R2443700	NONHHI_RELY.08	16 cases
R2443800	NONHHI_RELY.09	5 cases
R2443900	NONHHI_RELY.10	5 cases
R2444000	NONHHI_RELY.11	3 cases
R2444100	NONHHI_RELY.12	3 cases
R2444200	NONHHI_RELY.13	3 cases
R2444300	NONHHI_RELY.14	2 cases
R2444400	NONHHI_RELY.15	2 cases
R2444500	NONHHI_RELY.16	2 cases
R2447300	NONHHI_SEX.01	455 cases
R2447400	NONHHI_SEX.02	185 cases
R2447500	NONHHI_SEX.03	99 cases
R2447600	NONHHI_SEX.04	91 cases
R2447700	NONHHI_SEX.05	58 cases
R2447800	NONHHI_SEX.06	43 cases
R2447900	NONHHI_SEX.07	27 cases
R2448000	NONHHI_SEX.08	25 cases
R2448100	NONHHI_SEX.09	17 cases
R2448200	NONHHI_SEX.10	19 cases
R2448300	NONHHI_SEX.11	11 cases
R2448400	NONHHI_SEX.12	10 cases
R2448500	NONHHI_SEX.13	9 cases
R2448600	NONHHI_SEX.14	8 cases
R2448700	NONHHI_SEX.15	6 cases
R2448800	NONHHI_SEX.16	5 cases
R2448900	NONHHI_SEX.17	4 cases
R2449000	NONHHI_SEX.18	4 cases
R2449100	NONHHI_SEX.19	4 cases
R2718600	NONHHI_UID.01	460 cases
R2718700	NONHHI_UID.02	199 cases
R2718800	NONHHI_UID.03	151 cases
R2718900	NONHHI_UID.04	141 cases
R2719000	NONHHI_UID.05	112 cases
R2719100	NONHHI_UID.06	100 cases
R2719200	NONHHI_UID.07	68 cases
R2719300	NONHHI_UID.08	72 cases
R2719400	NONHHI_UID.09	50 cases
R2719500	NONHHI_UID.10	44 cases
R2719600	NONHHI_UID.11	30 cases
R2719700	NONHHI_UID.12	34 cases
R2719800	NONHHI_UID.13	26 cases
R2719900	NONHHI_UID.14	21 cases
R2720000	NONHHI_UID.15	20 cases
R2720100	NONHHI_UID.16	16 cases
R2720200	NONHHI_UID.17	11 cases
R2720300	NONHHI_UID.18	7 cases
R2720400	NONHHI_UID.19	4 cases
R2720600	NONHHI_UID.21	3 cases
R2720700	NONHHI_UID.22	2 cases
R2720800	NONHHI_UID.23	1 case
R3731100	NONHHI_AGE.01	157 cases
R3731200	NONHHI_AGE.02	120 cases
R3731300	NONHHI_AGE.03	66 cases
R3731400	NONHHI_AGE.04	29 cases
R3731500	NONHHI_AGE.05	12 cases
R3731600	NONHHI_AGE.06	4 cases
R3731700	NONHHI_AGE.07	7 cases
R3731800	NONHHI_AGE.08	2 cases
R3731900	NONHHI_AGE.09	3 cases
R3732000	NONHHI_AGE.10	2 cases
R3732200	NONHHI_AGE.12	2 cases
R3738200	NONHHI_ETHNICITY.01	162 cases
R3738300	NONHHI_ETHNICITY.02	120 cases
R3738400	NONHHI_ETHNICITY.03	69 cases
R3738500	NONHHI_ETHNICITY.04	37 cases
R3738600	NONHHI_ETHNICITY.05	15 cases
R3738700	NONHHI_ETHNICITY.06	8 cases
R3738800	NONHHI_ETHNICITY.07	7 cases
R3738900	NONHHI_ETHNICITY.08	3 cases
R3739000	NONHHI_ETHNICITY.09	2 cases
R3739100	NONHHI_ETHNICITY.10	1 case
R3739300	NONHHI_ETHNICITY.12	2 cases
R3743100	NONHHI_UID.01	168 cases
R3743200	NONHHI_UID.02	125 cases
R3743300	NONHHI_UID.03	75 cases
R3743400	NONHHI_UID.04	39 cases
R3743500	NONHHI_UID.05	18 cases
R3743600	NONHHI_UID.06	11 cases
R3743700	NONHHI_UID.07	8 cases
R3743800	NONHHI_UID.08	5 cases
R3743900	NONHHI_UID.09	3 cases
R3744000	NONHHI_UID.10	2 cases
R3744200	NONHHI_UID.12	2 cases
R3744300	NONHHI_UID.13	1 case
R3744500	NONHHI_UID.15	1 case
R3745700	NONHHI_HHFLAG.01	166 cases
R3745800	NONHHI_HHFLAG.02	124 cases
R3745900	NONHHI_HHFLAG.03	74 cases
R3746000	NONHHI_HHFLAG.04	38 cases
R3746100	NONHHI_HHFLAG.05	17 cases
R3746200	NONHHI_HHFLAG.06	10 cases
R3746300	NONHHI_HHFLAG.07	8 cases
R3746400	NONHHI_HHFLAG.08	5 cases
R3746500	NONHHI_HHFLAG.09	3 cases
R3746600	NONHHI_HHFLAG.10	2 cases
R3746800	NONHHI_HHFLAG.12	2 cases
R3746900	NONHHI_HHFLAG.13	1 case
R3747100	NONHHI_HHFLAG.15	1 case
R3750100	NONHHI_MARSTAT.01	137 cases
R3750200	NONHHI_MARSTAT.02	118 cases
R3750300	NONHHI_MARSTAT.03	68 cases
R3750400	NONHHI_MARSTAT.04	36 cases
R3750500	NONHHI_MARSTAT.05	17 cases
R3750600	NONHHI_MARSTAT.06	10 cases
R3750700	NONHHI_MARSTAT.07	8 cases
R3750800	NONHHI_MARSTAT.08	5 cases
R3750900	NONHHI_MARSTAT.09	3 cases
R3751000	NONHHI_MARSTAT.10	2 cases
R3751200	NONHHI_MARSTAT.12	1 case
R3751300	NONHHI_MARSTAT.13	1 case
R3751500	NONHHI_MARSTAT.15	1 case
R3756500	NONHHI_RACE.01	163 cases
R3756600	NONHHI_RACE.02	121 cases
R3756700	NONHHI_RACE.03	69 cases
R3756800	NONHHI_RACE.04	37 cases
R3756900	NONHHI_RACE.05	15 cases
R3757000	NONHHI_RACE.06	8 cases
R3757100	NONHHI_RACE.07	7 cases
R3757200	NONHHI_RACE.08	3 cases
R3757300	NONHHI_RACE.09	2 cases
R3757400	NONHHI_RACE.10	1 case
R3757600	NONHHI_RACE.12	2 cases
R3759000	NONHHI_RELY.01	166 cases
R3759100	NONHHI_RELY.02	120 cases
R3759200	NONHHI_RELY.03	68 cases
R3759300	NONHHI_RELY.04	34 cases
R3759400	NONHHI_RELY.05	14 cases
R3759500	NONHHI_RELY.06	6 cases
R3759600	NONHHI_RELY.07	4 cases
R3759800	NONHHI_RELY.09	2 cases
R3759900	NONHHI_RELY.10	2 cases
R3760100	NONHHI_RELY.12	1 case
R3764000	NONHHI_SEX.01	165 cases
R3764100	NONHHI_SEX.02	120 cases
R3764200	NONHHI_SEX.03	67 cases
R3764300	NONHHI_SEX.04	31 cases
R3764400	NONHHI_SEX.05	12 cases
R3764500	NONHHI_SEX.06	4 cases
R3764600	NONHHI_SEX.07	7 cases
R3764700	NONHHI_SEX.08	2 cases
R3764800	NONHHI_SEX.09	3 cases
R3764900	NONHHI_SEX.10	2 cases
R3765100	NONHHI_SEX.12	2 cases

4) Created Variable Changes due to Household Roster and Nonresident Roster Changes

Updates to the round 1 household and nonresident rosters led to the following changes in the created variables. Listed below are the affected variables and the number of cases.

R1200100	CV_BIO_MOM_AGE_CHILD1	17 cases
R1200200	CV_BIO_MOM_AGE_YOUTH	6 cases
R1205300	CV_YTH_REL_HH_CURRENT	4 cases
R1302400	CV_HGC_BIO_DAD	466 cases
R1302500	CV_HGC_BIO_MOM	93 cases
R1302600	CV_HGC_RES_DAD	2 cases
R2563600	CV_YTH_REL_HH_CURRENT	40 cases
R3885200	CV_YTH_REL_HH_CURRENT	72 cases

5) School Roster Changes - rounds 2 and 3

A review of the R2 and R3 schooling data uncovered a number of errors in the SCHCODE, INTERVIEW, and PUBID variables. These problems have been corrected in the latest release. Listed below are the affected variable and the affected number of cases.

R2463300	NEWSCHOOL_SCHCODE.01	106 cases
R2463400	NEWSCHOOL_SCHCODE.02	33 cases
R2463600	NEWSCHOOL_SCHCODE.04	4 cases
R2463700	NEWSCHOOL_SCHCODE.05	1 case
R2463900	NEWSCHOOL_INTERVIEW.01	119 cases
R2464000	NEWSCHOOL_INTERVIEW.02	31 cases
R2464100	NEWSCHOOL_INTERVIEW.03	5 cases
R2464200	NEWSCHOOL_INTERVIEW.04	4 cases
R2464300	NEWSCHOOL_INTERVIEW.05	1 case
R3776700	NEWSCHOOL_SCHCODE.01	2 cases
R3777400	NEWSCHOOL_INTERVIEW.01	161 cases
R3777500	NEWSCHOOL_INTERVIEW.02	33 cases
R3777600	NEWSCHOOL_INTERVIEW.03	7 cases
R3778800	NEWSCHOOL_PUBID.01	150 cases
R3778900	NEWSCHOOL_PUBID.02	34 cases
R3779000	NEWSCHOOL_PUBID.03	8 cases

The following created variables were updated to reflect changes in the School Roster between the round 3 main and the round 3 event history release:

R2569800	CV_SCH_ATTEND_EVER	5 cases
R2569900	CV_SCH_ATTEND_YR	4 cases
R2600100	CV_SCHOOL_SIZE	33 cases
R2600200	CV_STUDENT_TEACHER_RATIO	33 cases
R3891800	CV_SCH_ATTEND_EVER	109 cases
R3891900	CV_SCH_ATTEND_YR	98 cases
R3923500	CV_SCHOOL_SIZE	206 cases
R3923600	CV_STUDENT_TEACHER_RATIO	206 cases

In addition, the round 2 variable titles CV_HGC_EVER and CV_HGC_YEAR were reversed before the in the round 3 event history release; these titles were attached to the correct data in the in the round 3 event history release.

6) MILCODE and MILFLAG variables - rounds 2 and 3

A review of the employment data revealed that a combination of technical errors and interviewer confusion were contributing to the underreporting of military jobs. Corrections have been made to the MILCODE and MILFLAG variables which will both add valid data to the variable and establish a consistency between the use of the 0 code for non-military jobs and the -4 code for valid skips. Listed below are the affected variable and the affected number of cases.

R2469900	YEMP_MILCODE.01	530 cases
R2470000	YEMP_MILCODE.02	393 cases
R2470100	YEMP_MILCODE.03	217 cases
R2470200	YEMP_MILCODE.04	90 cases
R2470300	YEMP_MILCODE.05	31 cases
R2470400	YEMP_MILCODE.06	13 cases
R2470500	YEMP_MILCODE.07	2 cases
R2470600	YEMP_MILCODE.09	1 case
R3782800	YEMP_MILFLAG.01	57 cases
R3782900	YEMP_MILFLAG.02	3 cases
R3783000	YEMP_MILFLAG.03	2 cases
R3783700	YEMP_MILCODE.01	275 cases
R3783800	YEMP_MILCODE.02	113 cases
R3783900	YEMP_MILCODE.03	51 cases
R3784000	YEMP_MILCODE.04	18 cases
R3784100	YEMP_MILCODE.05	7 cases
R3784200	YEMP_MILCODE.06	6 cases
R3784300	YEMP_MILCODE.07	3 cases

7) Changes to employment created variables

A number of updates were made to the employment created variables between the round 2 event history release and the r3 main release and the r3 event history release. These updates were due to (1) updates made to the employment programs to reflect the change in the way that dates are imputed (2) updates to the military code information in the employer roster and (3) a coding problem that caused other specify variables to be coded incorrectly. Rather than listing each round's changes separately, a complete list of all updates is below:

R1205800	CV_HOURS_WK_EVER	339 cases
R1206400	CV_HOURS_WK_YR.85	1 case
R1206500	CV_HOURS_WK_YR.86	1 case
R1206600	CV_HOURS_WK_YR.87	3 cases
R1206700	CV_HOURS_WK_YR.88	4 cases
R1206800	CV_HOURS_WK_YR.89	4 cases
R1206900	CV_HOURS_WK_YR.90	7 cases
R1207000	CV_HOURS_WK_YR.91	8 cases
R1207100	CV_HOURS_WK_YR.92	13 cases
R1207200	CV_HOURS_WK_YR.93	17 cases
R1207300	CV_HOURS_WK_YR.94	67 cases
R1207400	CV_HOURS_WK_YR.95	150 cases
R1207500	CV_HOURS_WK_YR.96	315 cases
R1207600	CV_HOURS_WK_YR.97	150 cases
R1207700	CV_HOURS_WK_YR.98	5 cases
R1207800	CV_HRLY_COMPENSATION.01	1 case
R1207900	CV_HRLY_COMPENSATION.02	1 case
R1211400	CV_TTL_JOB_EVER	3 cases
R1212200	CV_TTL_JOB_YR.87	1 case
R1212300	CV_TTL_JOB_YR.88	2 cases
R1212400	CV_TTL_JOB_YR.89	2 cases
R1212500	CV_TTL_JOB_YR.90	2 cases
R1212600	CV_TTL_JOB_YR.91	2 cases
R1212700	CV_TTL_JOB_YR.92	5 cases
R1212800	CV_TTL_JOB_YR.93	8 cases
R1212900	CV_TTL_JOB_YR.94	19 cases
R1213000	CV_TTL_JOB_YR.95	28 cases
R1213100	CV_TTL_JOB_YR.96	49 cases
R1213200	CV_TTL_JOB_YR.97	47 cases
R1213300	CV_TTL_JOB_YR.98	1 case
R1219700	CV_WKSWK_DLI	344 cases
R1219800	CV_WKSWK_EVER	380 cases
R1219900	CV_WKSWK_JOB_DLI.01	299 cases
R1220000	CV_WKSWK_JOB_DLI.02	120 cases
R1220100	CV_WKSWK_JOB_DLI.03	37 cases
R1220200	CV_WKSWK_JOB_DLI.04	5 cases
R1220300	CV_WKSWK_JOB_DLI.05	2 cases
R1220400	CV_WKSWK_JOB_DLI.06	1 case
R1221300	CV_WKSWK_JOB_YR.01.87	2 cases
R1221400	CV_WKSWK_JOB_YR.01.88	1 case
R1221500	CV_WKSWK_JOB_YR.01.89	1 case
R1221600	CV_WKSWK_JOB_YR.01.90	1 case
R1221700	CV_WKSWK_JOB_YR.01.91	1 case
R1221800	CV_WKSWK_JOB_YR.01.92	6 cases
R1221900	CV_WKSWK_JOB_YR.01.93	7 cases
R1222000	CV_WKSWK_JOB_YR.01.94	25 cases
R1222100	CV_WKSWK_JOB_YR.01.95	54 cases
R1222200	CV_WKSWK_JOB_YR.01.96	203 cases
R1222300	CV_WKSWK_JOB_YR.01.97	98 cases
R1222400	CV_WKSWK_JOB_YR.01.98	3 cases
R1223300	CV_WKSWK_JOB_YR.02.88	1 case
R1223400	CV_WKSWK_JOB_YR.02.89	1 case
R1223500	CV_WKSWK_JOB_YR.02.90