1983 SURVEY OF CONSUMER FINANCES:
                     TECHNICAL MANUAL AND CODEBOOK




                Robert B. Avery and Gregory E. Elliehausen
              Board of Governors of the Federal Reserve System





                             April 1985
                   Last Revision: February 15, 1990





SURVEY DESCRIPTION AND OVERVIEW INTRODUCTION
     There have been many changes in financial markets during the last
decade.  Inflation and interest rates increased sharply in the late
1970s and then fell after recessions in 1980 and 1981-82.  Major
financial innovations occurred, such as the introduction of money
market funds, and the regulation of financial markets altered
dramatically after enactment of the Depository Institutions
Deregulation and Monetary Control Act of 1980.  To assess the effects
of these changes on the financial position of households, the Board of
Governors of the Federal Reserve System, the U.S. Department of Health
and Human Services, the Federal Deposit Insurance Corporation, the
Office of the Comptroller of the Currency, the Federal Trade
Commission, the U.S. Department of Labor, and the U.S. Treasury,
Office of Tax Analysis joined together to sponsor the 1983 Survey of
Consumer Finances (SCF).  The 1983 SCF collected data on the assets
and liabilities of a nationally representative sample of
U.S. households.  The survey was designed to provide detailed
information on the characteristics of different types of assets or
liabilities and on the institutional sources of these balance sheet
items.  Data on reasons for various financial choices and attitudes
toward financial risk, liquidity, and credit use were also collected
to help explain household behavior.  In addition, the 1983 survey
provides information that permits estimation of pension and Social
Security wealth.  Such information is not generally available from
other data sources.
     Interviewing for the 1983 Survey of Consumer Finances was
conducted by the Survey Research Center (SRC) of the University of
Michigan between February and August of 1983.[1]  The survey sample
consists of 3,824 randomly selected U.S. households and a supplemental
sample of 438 high- income households drawn from federal income tax
files.  The supplemental high-income  sample provides better
representation of the upper tail of the wealth distribution than that
provided by most other surveys.  In conjunction with the household
survey, a survey was conducted with the pension providers of those
households reporting pension coverage.  The Pension Provider Survey
collected the formulas for computing pension benefits for 75 percent
of applicable households with pensions (1,421 households).  In the
Summer of 1986, 2,822 of the 1983 SCF respondents were found and
administered a limited telephone reinterview, offering the opportunity
to study household savings over the intervening three years.
     This manual describes the set of "recoded, edited, and imputed"
variables developed at the Federal Reserve Board.  It documents the
procedures used for editing the raw survey responses, the statistical
methods used for imputing missing data, the construction of new
variables from the original variables, and the addition of new
variables which have been created by matching information from other
data sources.  The manual also presents technical material on the
survey's design and weights.  It should be used in conjunction with an
earlier release of the SRC (dated 7/11/84), which describes the
variables representing the raw responses of the survey respondents.
The interviewers instruction manual, also released by SRC also
provides useful information.  For a summary of some of the basic
results of the survey, the reader is referred to the following
publications:

     Robert B. Avery, Gregory E. Elliehausen, Glenn B. Canner, and
     Thomas A. Gustafson, "1983 Survey of Consumer Finances," Federal
     Reserve Bulletin, 70 (September 1984): pp. 679-92.

     Robert B. Avery, Gregory E. Elliehausen, Glenn B. Canner, and
     Thomas A. Gustafson, "1983 Survey of Consumer Finances: A Second
     Report," Federal Reserve Bulletin, 70 (December 1984): pp. 857-868.

     Robert B. Avery and Gregory E. Elliehausen, "Financial
     Characteristics of High-Income Families," Federal Reserve
     Bulletin, 72 (March 1986): pp. 163-77.

     Robert B. Avery, Gregory E. Elliehausen, and Arthur
     B. Kennickell, "Measuring Wealth with Survey Data: An Evaluation
     of the 1983 Survey of Consumer Finances," Review of Income and
     Wealth, March 1989.


     The data from the 1983 SCF, including the high-income sample and
the Pension Provider Survey, are available on request from the
National Technical Information Service, 5283 Port Royal Road,
Springfield, Virginia 22161 (telephone 703-487-4600).

DESIGN AND METHODS
     The 1983 SCF sample consists of a randomly selected, nationally
representative, area probability sample of all U.S. households
(cross-section sample) and a supplemental sample of high-income
households drawn from federal income tax files (high-income sample).
The area probability sample used the 1970 SRC National Sample frame.
The sample was designed to represent housing units in the coterminous
United States (the 48 lower states) exclusive of those on military
reservations, nursing and rest homes, college dorms, jails, hotels,
missions, convents, monasteries, and other institutional quarters.[2]
Housing units were selected by a multi-stage procedure that samples
successively smaller geographic areas.  Probability selection was
enforced at all stages of sampling.
     The first stage of the sample selection procedure was that used
to draw the 1970 SRC National Sample.  The 1970 frame was used because
full data from the 1980 Decennial Census were not available at the
time of the survey.  The frame was adjusted, however, to represent
1980 population values.  The 1970 SRC National sample was drawn by
assigning all U.S. metropolitan areas (SMSAs) and non-SMSA counties to
74 relatively homogeneous strata, and selecting one SMSA or county
(primary sampling unit or PSU) per stratum.[3]  Twelve of these strata,
representing New York City and the other 11 largest SMSAs, contained
only one PSU, and thus, were selected with certainty.[4]  From each of
the remaining 62 strata, which contained between 2 and 200 PSUs, one
primary area was selected with a probability proportionate to
population.  Thirty-two of these strata were SMSAs and 30 were strata
made up of non-SMSA counties or county groups.  The sample was
stratified by region of the country, so that each of the four major
geographic regions -- Northeast, North Central, South, and West --
received representation in proportion to their population.  In order
to reduce variances below those that would be obtained with ordinary
stratification, PSUs in each region were selected using a controlled
selection method.  This method controlled the distribution of sample
PSUs by state and degree of urbanization.  It results in a more
geographically balanced sample and increases the precision of sample
estimates relative to a more conventional random design.  The PSUs
selected for the 1983 SCF were drawn from 37 states and the District
of Columbia as shown in figure 1.

                                Figure 1
                             The SCF Sample
                             (see appendix)


     PSUs were divided into successively smaller sampling units in
subsequent stages: cities, towns, census tracts, minor civil
divisions, and rural areas (second stage);[5] urban blocks and rural
areas containing 16 to 40 housing units (third stage);[6,7] and
individual housing units (fourth stage).[8]  All of the housing units
selected in the fourth stage were included in the sample.[9]  The area
probability sample design was targeted to reach 6,057 housing units;
which, assuming an occupancy rate of .93 would yield 5,633 sample
households, and, with a response rate of .71, 4,000 completed
interviews.
     The high-income sample was drawn from a large sample of 1980
federal income tax returns created by the Statistics of Income
Division (SOI) of the Internal Revenue Service (IRS).  The procedures
for obtaining the high-income sample were designed to shield the
identity of survey respondents from the government and to preserve the
confidentiality of tax returns.  Using multi-faceted sampling
criteria, the Internal Revenue Service selected about 5,000 returns of
high-income taxpayers that were estimated to have large amounts of
wealth.[10]  This sample was drawn from the same primary areas that
were selected for the area probability sample.[11]  The Comptroller of
the Currency sent letters to these 5,000 individuals requesting
participation in the survey.  Four hundred fifty-nine households
notified the Comptroller of the Currency that they were willing to
participate.  This information was forwarded to SRC, which included
these households in the survey sample.[12]
     Under these procedures the IRS never knew the names of the final
respondents.  The SRC did not know the names of the high-income
individuals who were not willing to participate in the survey, nor did
they have access to tax data for survey participants.  The Office of
the Comptroller of the Currency, which can legally receive such
information from the IRS as a fellow member of the Department of the
Treasury, only knew that the 5,000 individuals had relatively high
incomes; it did not have access to any tax information for these
individuals.
     The same questionnaire was used to interview respondents in both
the area probability and high-income samples, and field interviewers
were not told  which households were part of the high-income sample.
The interview was conducted in person.  Table 1 shows the response
rates, final sample sizes, and average interview length for both the
area probability and high-income samples.  The area probability sample
is somewhat smaller than targeted (4,000).  The shortfall is due
primarily to a higher than expected vacancy and seasonal residence
rate in the selected sample.

                                 Table 1
                              Response Rates

                               Total  Area Probability          High-income
                          Households            Sample               Sample
_______________________________________________________________________________

Original Sample units             --              6062                 5000
Sample Households               5855              5396                  459
Complete Interviews             4262              3824                  438
Refusals*                       1224              1209                   15
Non-interviews**                 369               362                    6
Response Rate			 .73		   .71			.95
Interview length (minutes)        75                74                   87
______________________________________________________________________________

*  Contact with household complete, and eligible respondent refused.
** Interview not obtained for reasons other than respondent refusal
   (for example, household members on vacation or respondent health
   problems preclude interview).


     For both samples, selection of the survey respondent within a
household unit (or dwelling), followed a set of pre-determined rules.
Survey interviewers first tried to determine the individual within the
household who was "most knowledgeable" about the household's financial
affairs.  If this could not be determined, interviewers tried to
determine the household's economically "dominant" or "mainstream"
individual, i.e. the individual owning the house, or having
significantly more income.  This individual was selected as the survey
respondent.  In the event that such an individual could not be
identified, such as the case of unrelated roommates sharing living
quarters, the household resident closest to age 45 was selected as
respondent.  If the selected respondent refused to conduct the
interview, survey procedures allowed the substitution of their spouse,
but no other household member.[13]  Once the survey respondent was
ascertained, the survey sampling unit was set as the family of that
individual, termed the "primary family" of the household.  A family is
defined as all individuals residing together in the same household who
are related to each other by blood, marriage, or adoption.  The
primary family could be a one-person unit (if the respondent did not
live with relatives) as well as a unit of two or more individuals.
Individuals having "partners" or other common-law relationships were
treated as married.
     The Census Bureau definition of a household is the same as that
of the SRC.  The Census Bureau, however, distinguishes between
families of two or more persons and single person units.  The Census
defines a family as two or more individuals residing together in the
same housing unit who are related to each other by blood, marriage, or
adoption.  Unrelated individuals are defined as individuals living by
themselves or with unrelated persons.  For each household, the
householder is defined as owner, renter, or economically dominant
individual.  Any families which do not contain the householder are
defined as unrelated subfamilies.  Using these definitions, the SRC
primary family was virtually always the householder by themselves (if
an unrelated individual) or the family of the householder.  Since the
SRC interviewed one primary family per housing unit, the number of
households will be the same as the number of primary families (we use
the terms household and family interchangeably in this manual).
     Interviews were sought with all primary family units; however, no
other families or individuals in the household, such as roomers,
boarders, servants, or roommates, were interviewed (although their age
and sex is noted in the household listing).  The excluded individuals
would be those in unrelated subfamilies and non-householder, unrelated
individuals as defined by the Census.  Rough calculations suggest that
aggregate wealth totals derived from the survey are only slightly
lower (.4 percent) because of the failure to interview all household
members.  SCF household listings indicate that non-interviewed
individuals represent about 4,818,000 people. For the March 1983
Current Population Survey (CPS), the Bureau of the Census estimated
that there were a total of 6,678,000 such persons living in 4,600,000
families, and that they earned 3.8 percent of total household income.
     About one-half of the survey respondents were women including
about 40 percent of the cases of married households (the high-income
sample respondents, though, were virtually all male).  Both spouses
were present during about 40 percent of the married household
interviews, however, and callbacks were used in a significant portion
of the remaining cases to solicit information about a spouse not
present at the interview.  Information on the ownership of assets and
liabilities was solicited only at the family level, and thus cannot be
allocated to specific individuals.  Income on earnings, pensions,
education, and work history was solicited for both the respondent and
their spouse.  Interviewing for the survey was carried out by the
Survey Research Center from February through July 1983.
     A complete, detailed inventory of household assets and debts
including businesses, pensions, properties, and financial items was
collected.  In addition, a comprehensive work history and demographic
data were collected for primary family members.  Additional questions
focused on the use of financial services, specific income sources,
savings and borrowing attitudes, health, and inheritance.  Particular
attention was paid to pension assets, including detailed questions on
types of plans, expected benefits, structure of vesting,
contributions, and current values of identifiable accounts.  The
manual itself provides a detailed list of the questions asked as part
of the survey.

DATA CLEANING AND IMPUTATION
     The actual responses given by respondents may contain missing or
inconsistent information due to respondents' misunderstanding, lack of
knowledge, or unwillingness to answer certain questions.  These
problems make analysis of the raw data difficult and, depending on the
pattern of errors, may bias conclusions.  A series of consistency
checks and imputation procedures was developed at the Federal Reserve
Board to clean the raw data and to estimate values for the missing
data.  The computer code to implement these data cleaning and
imputation procedures is over 40,000 lines long.  Specific information
is given for each variable listed in this manual.  The general
procedures are described below. 
     Overview: Three basic methods were used to impute missing data.
The first method computed missing values by formulas based on
respondent information that was closely related to the missing items.
For example, missing earned income could be imputed from reported wage
rates, hours worked, and work history.  Asset income could be inferred
using average rates of return if asset values were given.  Similarly,
asset values could be estimated from reported asset income.  Length of
unemployment coupled with the appropriate state benefit formula could
be used to impute unemployment income; and work history and Social
Security benefit formulas could be used to impute Social Security
income.  Where appropriate, random disturbances were added in making
imputations. The detailed data were also useful for resolving
inconsistencies in reported values.
     The second method assigned missing values on the basis of random
draws from conditional frequency distributions.  This method was used
primarily to impute missing values for variables with discrete values.
It was also used to estimate dollar amounts in a few cases in which a
very small number of missing values were present.  A variant of this
method involved using a conditional mean together with information
reported by the respondent to estimate the value of a missing item.
The amount borrowed for a first mortgage, for example, was sometimes
estimated by multiplying the purchase price of the house by the
average loan-to-price ratio in the year of purchase.
     The third method estimated missing values by regression.  Missing
values were assigned the value predicted by the regression plus a
random disturbance term, which was generally assumed to be a truncated
log-normal variable with the same variance as the residual term of the
regression.  This method was used to estimate most missing dollar
amounts.  Income and asset regression imputations were done
simultaneously, using an iterative technique, in order to preserve all
second moments.
     Much more was involved in the process of preparing the dataset
than imputation of missing values.  In many instances respondents gave
inconsistent answers to similar questions, which had to be resolved.
There were other instances where assets and/or debts appeared to be
reported twice.  A more common type of problem involved the categories
to which assets were assigned.  For example, many elderly respondents
appeared to confuse Social Security and SSI.  The assignment of assets
to money market accounts or SUPER NOW checking accounts was done
inconsistently by respondents.  Many of these kinds of problems and
inconsistencies resulted in data being changed or moved.
     The area probability and high-income samples were handled
separately.  Missing values for all observations in the high-income
sample were imputed.  In the area probability sample, however, 159 of
the original 3824 observations were discarded because virtually all
dollar amounts for income and assets were missing (this procedure is
described in the next section).  All missing values for the remaining
3665 observations were imputed.  
     Most of the imputations for the 1983 survey were made entirely on
the basis of 1983 data.  In order to preserve the appropriate
inter-temporal correlations, however, some use was made of 1986
responses for those households responding to the 1986 SCF.
Specifically, some 1983 values were reimputed where respondents gave
"hard data" in 1986 for an item which was missing in 1983.
     Wages and Income: Dollar amounts for each missing income source
were imputed separately, and total family income was obtained by
summing income sources.  Missing earned income was estimated using a
wage index to deflate the current wages of the respondent and their
spouse to 1982 levels. If the current wages were missing as well, they
were estimated using conditional mean tables constructed from the
March 1983 CPS.  Missing values were assigned average log-wages for
persons of the same sex, race, age, and three-digit occupation code
plus a random error term.  The random error term was chosen so that
the correlation in wages between an individual's current and past jobs
was the same as that observed for the part of the sample with complete
information.  Missing wage and business income of self-employed
individuals were imputed separately using CPS data for self-employed
individuals.  For the high-income sample, a similar procedure was used
to impute wage and business income.  Missing values were assigned on
the basis of occupation and age, with random error terms added to the
conditional means.  The conditional means were obtained from the
high-income sample itself, however, not the CPS.
     Unemployment compensation was imputed using state benefit rules
and job information reported in the employment section.  Some pension
and Social Security income was estimated using information from the
employment section, but most was imputed by regression.  Welfare was
imputed by regression using state benefit formulas.  Interest and
dividend income was estimated by multiplying dollar amounts of various
types of assets held by the appropriate average yields for those
assets in 1982.  Average yields were obtained from the Federal Reserve
Bulletin and other publications.
     Assets: Missing values for most financial assets were estimated
either by capitalizing interest and dividend income or by regression
if these income sources were not reported.  The procedure used when
both income and financial asset values were missing was an iterative
one that imputes income and asset values simultaneously.  It builds
maximum likelihood estimates of the covariance matrix of the set of
imputed variables conditioned on demographic and other variables under
the assumption that they are jointly log-normal and that given such
information observations are missing randomly.  Imputed values are
conditional expectations plus a random error.
     Missing house values were imputed by inflating reported purchase
prices by regional housing price indices.  Some house values, and all
other missing real estate, life insurance, net equity of businesses,
and some land contracts were imputed by regression.  Automobile values
were imputed by matching the year and make of the vehicle to the
National Association of Automobile Dealers "blue book" listing of used
car values at the time of the survey.
     Debts: Respondents were asked to report dollar amounts
outstanding for open-end and non-installment closed-end debts.
Missing dollar amounts were estimated by regression.  Asset values,
income, and other demographic characteristics of the family were used
as predictor variables. Random errors were added to the predicted
amounts outstanding.
     Respondents reported credit terms -- payment size, frequency,
amount borrowed, due date, and interest rate -- for mortgages, land
contracts, and other real estate loans.  Some payments had to be
adjusted because the reported amount included taxes and insurance.
The amount outstanding on each loan could then be obtained by
calculating the present value of remaining payments of principal and
interest.  Missing credit terms were estimated using appropriate
average interest rates, maturities, and loan-to-price ratios published
in the Federal Reserve Bulletin (the amount outstanding could actually
be computed even if one term was not reported, because of a redundancy).
     Similar information was collected for closed-end installment
debt, although interest rates were not reported.  Sufficient
information was available if all other terms were reported to solve
for the implied interest rate.  The amount outstanding for each loan
could then be computed in the same fashion as used for mortgages.
When one of the terms was missing or the computed interest was
implausible, an appropriate interest rate from the Federal Reserve
Bulletin was assumed for area probability sample observations.  For
high-income sample observations, missing values were assigned on the
basis of matches to other comparable loans in the high-income sample.
     Summary Data on Imputation: The impact of the imputation process
used for the SCF is apparent from the non-response rates given for
selected assets and liabilities in table 2.  Non-response rates for
ownership ("do you have a .. .?") and dollar amounts ("what is its
value?") were computed for three subsamples -- the high-income sample,
the 3665 edited area probability observations, and the 159 discarded
area probability observations.  The non-response rate for each item
was computed by dividing the number of missing responses by the
number of times that a question was asked.  Dollar amounts were asked
only if a respondent acknowledged ownership; and for closed-end
installment debts, where amount outstanding was computed rather than
reported, refer to the amount borrowed or payment size.  For other
debts, dollar amounts refer to amount outstanding.  There are no
non-response rates for automobile value because this value was
calculated from reported make and model and was not solicited from
respondents.

                                    Table 2

       NON-RESPONSE RATES FOR SELECTED ASSETS AND LIABILITIES, 1983 SCF  

                           EDITED          HIGH-INCOME        DISCARDED
                           CROSS-SECTION                      CROSS-SECTION

ASSETS                     OWNRSHP  $ AMT  OWNRSHP  $ AMT     OWNRSHP  $ AMT

Principal residence             .1    7.8       .0    1.4          .6   32.8  
Other real estate (gross)       .1    9.2       .0    3.0         2.5   35.3 
Public stock                   1.3   25.4      1.7    6.7        15.8   97.8  
Bonds and trusts                .7   24.7      2.4    6.2         8.5   82.9  
Checking accounts               .1    9.6       .5    4.7         5.0   71.7  
Savings accounts                .2   14.1       .7    4.8         8.2   89.6  
Money market accounts           .2   18.3       .3    9.3         5.0   93.1  
Certificates of deposit        1.3   25.6       .9    9.0        15.2   97.4  
IRA and Keogh accounts          .3   11.9       .3    2.1         4.4   79.6  
Savings bonds                   .1   17.4       .2    4.6         6.3   71.4  
Life insurance cash value      2.4   71.7       .5   33.5         9.4   91.8 
Business assets (net)           .1   37.2       .5   17.6         4.4   96.9  
Automobiles                     .0     --       .0     --          .1     -- 

DEBT 

Automobile debt                 .7    4.6       .0    1.7         2.2   36.4  
Consumer debt                   .2    5.6       .4    3.7          .6   59.1  
Principal residence debt        .3    9.6       .5    3.6         1.6   50.8  
Other real estate debt         1.0    8.2       .0    3.9         7.7   40.0  



     Note that few respondents failed to acknowledge ownership of
specific items.  Non-response rates for dollar amounts, however, are
significantly larger.[14]  The high-income sample has lower non-response
rates than the area probability sample for virtually every item,
despite the fact that the survey lasted longer on average for the
high-income sample and respondents had more complex finances.  This
may reflect the fact that high-income respondents had to agree to
participate before they were even approached by an interviewer.
     The effects of missing value imputations on asset totals are
shown in table 3.  The first and third columns show the percentage of
the final weighted total of each asset that stems from dollar values
given by respondents.  The difference between this number and 100 is
the percentage of each asset's dollar total that was imputed.
Percentages are given separately for the edited area probability and
the high-income group.  Imputations accounted for less than 10 percent
of total asset values in ten of the twelve asset categories in the
high-income sample but in only four of the twelve categories in the
area probability sample.  For every asset category, the proportion of
total assets accounted for by imputations is lower in the high-income
sample than in the area probability sample.  Cash value of life
insurance is the lowest quality item -- imputations account for 41
percent of total cash value in the high-income sample and 76 percent
of the cash value in the area probability sample.


                                      Table 3

          IMPUTATION PERCENTAGES AND IMPLIED MEAN IMPUTATIONS, 1983 SCF*

                             HIGH-INCOME                EDITED CROSS-SECTION

                             RESPONDENT   IMPUTATION    RESPONDENT   IMPUTATION
                             DATA         BY MEANS      DATA         BY MEANS
                             AS % OF      IMPLIED %     AS % OF      IMPLIED %
                             TOTAL        OF TOTAL      TOTAL        OF TOTAL
		  							   
Principal residence           99.2        100.3          95.6        102.9
Other real estate (gross)     98.8        101.1          90.1         97.5
Public stock                  95.6        100.2          88.4        104.7
Bonds and trusts              93.7        100.3          74.9         94.3
Checking accounts             96.5        101.1          92.6        101.1
Savings, CDs, money mkt.
  Savings accounts            96.7        101.1          86.3        99.9
  Money market accounts       95.7        100.9	         84.3        98.1
  Certificates of deposit     91.8         97.5          76.4        98.9
  IRA and Keogh accounts      98.5        101.2          91.3       102.6
  Savings bonds               99.0        100.7          89.9       106.9
Life insurance cash value     58.8         80.7          24.1        70.4
Business assets (net)         80.1        101.1          82.4       118.9

* Full sample weights are used for each subgroup


     To examine the robustness of the imputation procedures each
sample was "re-imputed" by assigning the sample mean to each missing
dollar value instead of the more complex imputations actually used.[15]
The figures in columns 2 and 4 of table 3 are the aggregate
percentages of each sample including the original imputations
accounted for by samples including the more crude mean-based
imputations.  Most percentages are quite close to 100.  The poor data
on the cash value of life insurance, however, is again reflected by
the fact that its overall total is quite sensitive to the imputation
procedures used.  The life insurance percentages of less than 100
suggest that observations with missing data were those with higher
than average values (at least as predicted by our more complex
imputations).  Conversely the 118 percent figure for the area
probability sample business assets suggests that cross-sectional
observations with missing business data were smaller than average.
These figures suggest that the patterns of nonresponse are complex,
and that simplistic imputation procedures are likely to be flawed.

SAMPLE WEIGHTS
     For a variety of reasons, final household survey data will rarely
represent a random draw from the U.S. population.  Even if the
original survey design were random, different types of households will
have different likelihoods of completing interviews.  Very high and
very low income households, for example, are thought to be less likely
to participate in surveys.  The 1983 SCF had an additional source of
non-randomness because of the inclusion of the high-income supplement.
These factors necessitated the construction of weighting variables to
compensate for known or estimable sources of stratification in the
final data set.  Several different weights were constructed.
     Inclusion of households in the final "cleaned" data set described
in this manual results from a series of implicit stratified selection
criteria.  There are four major sources of implicit stratification.
First, there are different response rates for different household
types.  This occurs because households cannot be reached (up to six
attempts to contact participants were made) or because they refuse to
participate when contacted.  Second, the sample may not fully reflect
U.S. population due to sampling error in the survey itself (in the
sense that any random sample will not have exactly the same average
characteristics as the population from which it is drawn).  Third, as
mentioned above, not all survey observations were usable for analysis
because of significant missing information due to deliberate or
inadvertent actions.  Of the 3,824 area probability sample survey
households included in the original SRC data tape, 159 observations
were dropped in the cleaned file.  Finally, the SCF sample is drawn
from both the area probability and high-income sampling frames.  If
both samples are used, it is necessary to properly mix them to have a
representative national sample.
     There are a number of ways which can be used to compensate for
these types of sample stratification.  The method employed here is to
construct sample weights, which can be used to adjust the final
sample.  Briefly, the weights were calculated as follows.
     Area Probability sample weights: The original SRC sampling frame
called for sampling 6,062 housing units in the cross-section.  If each
housing unit had yielded an interview, each observation would
represent 13,333 housing units.  In fact as shown earlier in table 1,
only about 89 percent of the housing units were occupied, and of
these, only about 71 percent (3824) contained households who were
willing to participate in the survey.  Obviously, the exact
characteristics of the non-responding households are unknown; however,
the response and occupancy rate differed significantly across the
survey's 75 PSUs.  The "non-response" weight adjusts for this
differential non-response.  This weight is equal to the reciprocal of
the household response rate for the PSU for which the household
belongs.  This weight should compensate for some location-related
characteristics associated with non-response and occupancy.
     The second type of stratification cited above can be adjusted for
by taking into account how the final area probability sample (weighted
for "non-response") compares with the population according to certain
select characteristics.  Obviously the sample could be adjusted for
any one of a number of characteristics (age, income, size of
household, region, etc.).  SRC elected to compensate for regional
sampling error by computing a "post-stratification" weight which
adjusts the sample to have the same relative population as the 1980
census in the four major sample regions (Northeast, South, North
Central, and West) further subdivided into urban and rural.  We
computed a similar weight, but post-stratified to the population and
urban/rural definitions represented by the March 1983 CPS.
     The third type of stratification cited above can be adjusted for
in two different ways.  The criteria for inclusion in the cleaned area
probability sample was as follows.  Any observation with any dollar
values given for earnings or income was automatically included.
Remaining observations were excluded only if there were virtually no
dollar values given for housing value (or rent), other property
values, business, and financial assets.  Information on debts was not
used in this section.  Specific rules were employed to exclude
observations whose ratio of missing data to relevant questions
exceeded a certain level.  In practice those observations that were
dropped were missing values for virtually all dollar value questions
they were asked.[16]  None of the high-income sample observations were
dropped.  In fact, these  observations were remarkably clean, with
comparatively little missing information.
     To compensate for these exclusions, a probit model was fit to
model the probability that an observation in the complete 3824 area
probability sample file would be included in the cleaned
3665-observation data set.  Variables used in this model were selected
as follows.  Most asset questions consisted of two parts.  An initial
screen question which asked if the respondent had an asset, and a
follow-up for those acknowledging ownership, asking how much they had.
In virtually every instance of missing values, it was the second
question which was not answered rather than the first.  Thus, the
probit model predicting inclusion in the cleaned sample used a number
of the first type of questions, as well as standard demographic data
available for all observations, as predictor variables.
     The fitted probit equation results can be used in two ways.  The
inverse of the predicted probability that an observation would have
been included in the cleaned sample (conditioned on the predictor
variables used), can be used to weight observations in analysis.  In
practice, this procedure implies higher weights for observations
holding a large number of different assets.
     An alternative way of using the probit results attempts to
account explicitly for correlation between inclusion in the sample and
the error term of an estimated equation.  A variable has been created
which is the expectation of the "error" in the inclusion equation,
conditioned on the fact that the observation indeed turned out to be
included (the so-called Mills ratio).  This variable can be included
as a regressor in estimated equations and will account for "sample
selection" bias under certain assumptions.
     High-Income and full sample weights: The weights for the combined
sample containing both the area probability and high-income samples
were more difficult to compute, and are more subject to question.
Unfortunately full information on the high-income sampling procedure
is not publicly available.  Additional complications stem from the
fact that the high-income observations were drawn from a 1980 sampling
frame of taxpayers (but were contacted in 1983) and the fact that the
reporting basis for tax files (individuals or married couples) is not
always the same as the survey (families).
     Initially, the Office of Tax Analysis used a statistical file set
up by the IRS to construct relative weights for the high-income sample
(the sample was divided into nine cells each with a separate weight).
These weights are supposed to make the high-income sample
representative of the unknown full IRS sampling frame.  SRC
constructed sample distributions for the overlap of the area
probability and high-income samples (over $100,000 dollars in
household income) to compute a "meshed" combined sample weight.  The
SRC weight retained the relative weights of the high-income sample and
left the weight for area probability observations below $100,000
largely unchanged.[17]
     Well after the initial SRC full sample weights were computed,
information on the upper tail of the distribution of 1982 taxpayers
became available.  When this was compared to reported 1982 household
income in the SCF sample, it appeared that the SRC meshed weight may
have given too much weight to the high-income sample.  As a
consequence, another full-sample weight was constructed at the Federal
Reserve Board which used a different approach to combine the two
samples.  It was decided to construct sampling weights for the
high-income sample (and area probability observations with income
above a certain level) using a post-stratification scheme based on
control totals for an "extended" income measure constructed from the
1982 Tax Model File (TMF) of the IRS.  The TMF is a stratified sample
of 88,218 individual tax returns with a significant over-sampling of
high incomes.[18]
     This income measure, which was constructed for all survey
households using reported 1982 income data, is roughly comparable to
the IRS measure of adjusted gross income plus excluded realized
capital gains.  Despite the fairly detailed income questions in the
SCF, it is clear that the survey measure of business income almost
surely overstates the TMF measure.  It appears likely that survey
respondents often report something much closer to a cash-flow concept
of income rather than income netted of expenses and depreciation.
Unfortunately, there is not sufficient information in either the SCF
or the TMF to make a precise compensating adjustment.  A gross
adjustment for the aggregate difference between the survey and TMF
business income totals was made in constructing the survey measure of
extended income. Reported business income in the SCF was deflated by
about 40 percent so that IRS and adjusted survey aggregates of
business income were the same.  This adjustment was quite ad hoc,
however, and the potential for distortion at the individual level
remains, with weights for households with business income particularly
suspect.
     Because the reporting units in the survey and the TMF differ, the
TMF data were adjusted in  order to estimate income on a family basis.
Most of the high-income returns in the TMF are either joint filings or
those of single individuals.  However, there are some married couples
filing separately, particularly in the $50,000 to $100,000 income
range.  These observations were "aggregated" into households by
assuming that separate filers were all married to people with the same
income (weights for such observations were halved).  The final weights
are only slightly affected by variations in this adjustment.
     Post-stratification cells were defined by the seven categories of
extended income shown in table 4.  For each of the top six income
cells (above $80,000), weights were determined so that the weighted
number of survey observations equaled the TMF totals.  High-income
observations were assigned the cell average.  Area probability sample
observations were assigned relative weights based on their
cross-section weight, but scaled so that the mean for each of the six
cells was the same as that of the high-income observations.  The
original weights of the area probability observations with income
below $80,000 were adjusted so that the weighted number of SCF
households equaled the population estimated from the March 1983 CPS.
High-income sample observations with income below $80,000 were
arbitrarily assigned the same weight as observations in the $80,000 to
$90,000 group.


                                    Table 4

                              FRB Full Sample Weight

Household                Number of    Number of     TMF control   Average
extended income	         Area Prob.   High-income   totals of     weight
(dollars)                cases        cases         households    assigned
___________________________________________________________________________

under $80,000             3,579           49	    82,364,760      22,703
$80,000-89,999               22           11           356,324      10,798
$90,000-99,999               13           16           250,746       8,646
$100,000-124,999             23           40           362,022       5,746
$125,000-199,999             16           92           356,386       3,300
$200,000-499,999             11          148           182,424       1,147
$500,000 and over             1           82            45,338         546
___________________________________________________________________________

All cases                  3,665         438        83,918,000      20,453



     Most of the work done to date with the 1983 SCF has used the SRC
meshed weights.  Subsequent calculations suggest that the two
different weighting schemes may not make as much difference as
originally expected.  Aggregate wealth estimates constructed using the
SRC weight are about 5.0% higher than those estimated with the Federal
Reserve weight.  Aggregate income estimates are 3.6% higher.
     The importance of the weights is shown by the numbers in table 5.
Columns 1 - 3 show the distribution of the unweighted area
probability, high-income, and total samples over various demographic
items.  Columns 4 and 5 show the weighted sample distribution of the
same items using the area probability weight (column 4) and the FRB
extended income weight (column 5).  The unweighted sample clearly
shows an over-representation of elderly, high-income, wealthy, white,
and married households relative to all of the weighted samples.


                                       Table 5

                          Weighted and Unweighted Percentages

                  Unweighted                          Weighted

                  Area           High-     Full       Area           FRB
                  Probability    Income    Sample     Probability    Full

Age (head)
34 or less
 married            17.9          1.4       16.1        17.0         16.9
 unmarried male      6.0           .5        5.4         6.2          6.2
 unmarried female    7.4           .2        6.7         7.6          7.6
35 to 44
 married            13.6         12.6       13.5        13.6         13.6
 unmarried male      1.8           .4        1.7         1.9          1.8
 unmarried female    4.1           .2        3.7         4.1          4.1
45 to 54
 married            10.7         22.8       12.0        10.6         10.5
 unmarried male      1.6          2.3        1.7         1.7          1.7
 unmarried female    3.2           .0        2.9         3.2          3.2
55 to 64
 married             9.6         28.3       11.6         9.7          9.7
 unmarried male      1.4          2.5        1.5         1.5          1.5
 unmarried female    3.7           .5        3.3         3.7          3.7
65 or more  
 married             9.4         24.7       11.0         9.7          9.9
 unmarried male      1.8          1.8        1.8         1.8          1.8
 unmarried female    7.8           .9        7.1         7.7          7.7

Race
 Caucasian          82.8         98.6       84.5        82.3         82.2
 Nonwhite or 
   Hispanic         17.2          1.4       15.5        17.7         17.8

Family Income
 < $10,000  25.0      .0         22.2       24.1        24.0
 $10,000-$19,999    26.8           .0       23.9        26.7         26.8
 $20,000-$29,999    19.2           .2       17.3        19.2         19.3
 $30,000-$49,999    19.6           .9       17.5        19.8         19.7
 $50,000-$99,999     7.4          7.8        7.5         8.1          8.2
 >= $100,000         2.0         91.1       11.5         2.2          2.0
  
Family Net Worth
 < $5,000           25.5           .0       22.8        25.3         25.3
 $5,000-$24,999     18.3           .0       16.4        18.0         18.0
 $25,000-$50,000    16.3           .0       14.6        16.0         16.0
 $50,000-$99,999    17.6          1.4       15.8        17.3         17.2
 $100,000-$249,999  14.3          2.3       13.0        15.0         14.7
 $250,000-$999,999   7.0         26.0        9.0         7.3          7.1
 >= $1,000,000       1.0         70.2        8.4         1.2          1.7

Homeownership       64.1         95.4       67.4        63.5         63.4

Education
 of the Head
 0 to 8 grades      15.2           .5       13.6        14.4         14.5
 9 to 12 grades     46.1          5.0       41.7        45.0         44.9
 some college       16.9         13.0       16.5        17.6         17.7
 college graduate   21.7         81.5       28.1        22.9         22.9

Labor Force
 Participation
 single,
   not working      17.1          1.8       15.5        16.9         17.0
 single, working    21.7          8.4       20.3        22.4         22.4
 married,
   neither working   9.7          8.0        9.5         9.8          9.8
 married,
   one working      23.1         52.5       26.2        22.8         23.0
 married, both
   working          28.4         29.2       28.5        28.1         27.8


     Further evidence on the importance of the high-income sample and
the need for proper weighting is shown by the summary statistics for
various components of household wealth given in tables 6 and 7.  Table
6 shows aggregate estimates using only the area probability sample,
weighted with the area probability sample weights.  Table 7 gives the
same estimates with the full sample weighted with the FRB extended
income weights.[19]  Note that there is virtually no difference in the
estimates of median holdings of owners and the percentage of
households owning various asset and debt items between the area
probability and full sample.  However, for the estimates of mean and
aggregate holdings.  Despite their being weighted to represent the
same population, the area probability and full-sample estimates of a
number of aggregates look quite different.


                                       Table 6

                   SAMPLE STATISTICS, 1983 SCF CROSS-SECTION ONLY

                SUM      STD ERR   % GROSS   OVERALL  PERCNT   MEAN     MEDIAN
                ($ B)    SUM       ASSETS    MEAN     OWNING   OWNERS   OWNERS*

GROSS ASSETS  $10,127.2  $692.8    100.0%   $120,678   96.0%  $125,693  $49,885

Principal
 residence      3,623.8    87.5     35.8%     43,182   63.5%    68,002   52,342
Other real
 estate (gross) 1,416.7   149.4     14.0%     16,882   18.8%    89,699   36,000
Public stock      642.8   127.8      6.3%      7,660   20.2%    37,860    4,696
Bonds and
 trusts           344.9    57.9      3.4%      4,110    7.3%    56,421   11,000
Checking
 accounts         119.2     6.9      1.2%      1,421   78.6%     1,808      500
Savings, cds,
 money mkt.       959.2    44.2      9.5%     11,430   74.0%    15,445    3,500
Life insurance
 cash value       262.1    16.0      2.6%      3,124   33.9%     9,205    3,428
Business
 assets (net)   2,127.3   567.5     21.0%     25,349   13.9%   181,861   40,538
Automobiles       372.3     6.7      3.7%      4,436   84.4%     5,255    4,100
Miscellaneous     258.8    22.5      2.6%      3,084   15.5%    19,845    5,575

DEBT            1,444.6    69.6     14.3%     17,215   69.8%    24,655   10,797

Automobile
 debt              92.2     3.6      0.9%      1,098   28.9%     3,797    3,052
Consumer debt     178.5    12.5      1.8%      2,127   54.9%     3,872    1,120
Principal
 residence debt   855.3    29.4      8.4%     10,192   37.3%    27,355   21,468
Other real
 estate debt      318.7    56.4      3.1%      3,797    8.2%    46,291   18,797

NET WORTH       8,682.5   666.4     85.7%    103,463     --       ----   34,537

INCOME (GROSS)  2,233.5    46.8       --      26,615     --       ----   19,625

* For gross assets, net worth, and income, this is the overall median



                                       Table 7

                     SAMPLE STATISTICS, FULL SAMPLE 1983 SCF

                SUM      STD ERR   % GROSS   OVERALL  PERCNT   MEAN     MEDIAN
                ($ B)    SUM       ASSETS    MEAN     OWNING   OWNERS   OWNERS*

GROSS ASSETS  $11,572.2  $504.6    100.0%   $137,899   96.0%  $143,638  $49,588

Principal
 residence      3,751.7    80.2     32.4%     44,706   63.4%    70,465   52,000
Other real
 estate (gross) 1,689.9   225.1     14.6%     20,137   18.8%   106,997   37,765
Public stock    1,033.8   180.2      8.9%     12,319   20.5%    60,161    5,000
Bonds and
 trusts           677.4   138.1      5.9%      8,072    7.6%   106,365   12,500
Checking
 accounts         119.4     5.7      1.0%      1,423   78.6%     1,811      500
Savings, cds,
 money mkt.     1,052.3    44.4      9.1%     12,539   74.0%    16,951    3,500
Life insurance
 cash value       285.3    18.9      2.5%      3,400   34.1%     9,978    3,373
Business
 assets (net)   2,276.3   292.0     19.7%     27,125   14.3%   190,025   45,768
Automobiles       373.7     6.5      3.2%      4,453   84.3%     5,282    4,085
Miscellaneous     312.5    25.4      2.7%      3,724   15.5%    24,073    5,506

DEBT            1,510.6    74.5     13.1%     18,001   69.6%    25,853   10,787

Automobile
 debt              90.6     3.5      0.8%      1,080   28.6%     3,772    3,029
Consumer debt     228.8    26.8      2.0%      2,726   54.9%     4,969    1,117
Principal
 residence debt   865.5    28.1      7.5%     10,314   37.0%    27,898   21,673
Other real
 estate debt      325.6    57.2      2.8%      3,880    8.2%    47,317   18,797

NET WORTH      10,061.6   479.3     86.9%    119,898     --      ----    34,466

INCOME (GROSS)  2,247.4    33.8      --       26,781     --      ----    19,523

* For gross assets, net worth, and income, this is the overall median



COMPARABILITY WITH OTHER SURVEYS
	The 1983 Survey of Consumer Finances is the most recent survey
in a series of surveys of household finances conducted by the Survey
Research Center of the University of Michigan.  Surveys of Consumer
Finances were conducted annually from 1946 and 1970 but were then
discontinued.[20]  In 1977, the Survey Research Center conducted a
comprehensive household finance survey again, under the sponsorship of
the Federal Reserve Board and other federal bank regulatory
agencies.[21]  The same basic methods were used in all these surveys,
although changes in sampling and interviewing procedures were
introduced from time to time to improve survey results.  The content
of the surveys also changed over time because of shifts in interest in
various aspects of consumer finances.  The early surveys, which were
sponsored by the Federal Reserve Board, were concerned with the effect
of the postwar accumulation of liquid assets on consumer spending.
Mortgage and consumer credit received greater attention in later
surveys, and a major part of the 1977 survey was concerned with the
effect of federal regulations on consumer credit use.  Nevertheless,
several areas of inquiry were followed through much of the 1946-77
period, and results from the earlier surveys are generally comparable
to those from the area probability sample for the 1983 SCF.
     The Federal Reserve Board also sponsored the Survey of Financial
Characteristics of Consumers (SFCC) in 1963, with a followup
reinterview in 1964.[22]    Methodological work for this survey was
conducted by the SRC, and interviewing was performed by the Bureau of
the Census.  Like the 1983 SCF, the 1963 SFCC collected a more
detailed inventory of assets and liabilities than is customary in
other consumer surveys.  The 1963 survey also used Federal tax
information to oversample high- income households.  For the 1963
survey, a sample of housing units stratified by income reported in the
1960 Decennial Census was selected to represent households with
incomes below $50,000. Households with incomes of $50,000 or more were
selected from a sample of 1960 Federal income tax returns.  Although
this sample selection procedure is not exactly the same as that used
for the 1983 survey, it produced a heavy over-sampling of households
in the upper end of the income distribution, making the 1963 sample
the only household survey sample that is comparable to the full sample
from the 1983 SCF.
     The Federal Reserve has also sponsored several recent surveys on
the use of different means of payment for household purchases.  The
Survey of Currency and Transaction Account Usage, conducted by the SRC
in the summer of 1984, solicited detailed information on the use of
checking, savings, and money market accounts for about 2,000
households.  Data were also collected on the use of currency, credit
cards, money orders, and electronic banking services.  In 1986, the
survey was repeated for a smaller sample.[23]  	Wealth information is
also available from other sources.  Data from the Internal Revenue
Service for federal estate tax returns have been used to estimate
total household wealth and its percentage distribution.
Unfortunately, data from this source are available only in aggregate
form, with very limited demographic breakdowns.  Another source is the
1979 Income Survey Development Program of the Department of Health and
Human Services, which provides information for a sample of households
larger than that of most other surveys of wealth.  The New York Stock
Exchange has also periodically conducted surveys of household
stockholders, doing a survey at a time comparable to the SCF in 1983,
and more recently, in 1985.  Wealth data was also collected for
respondents to the Panel Study of Income Dynamics (PSID) in 1984.
     The most comprehensive recent survey of household wealth was
conducted in 1984 (and repeated in 1985) by the Bureau of the Census
on participants in the Survey of Income and Program Participation
(SIPP).  This survey solicited information similar to the SCF for a
very large sample of households.  Its initial panel was a random
cross-section of about 21,000 households selected by procedures
similar to those used to select the area probability sample for the
1983 SCF.  Net worth information was collected between September and
December 1984.[24]  Aggregate wealth estimates from the earlier
Surveys of Consumer Finances and SIPP are generally comparable to
those from the area probability sample of the 1983 SCF in their
understatement of aggregate wealth relative estimates from independent
sources.  Using comparably defined categories, we estimate an
aggregate net worth for the SCF area probability sample of $8,277
billion versus a $7,740 billion total for the SIPP sample.  The
difference derives primarily from a smaller estimate of small business
assets in the SIPP.  The full-sample SCF estimate of the same net
wealth concept is $9,610 billion.  Thus, it appears that the major
difference between the two surveys arises from the inclusion of the
high-income sample in the SCF.
     The annual March Current Population Survey is perhaps the most
comprehensive U.S. household economic survey, soliciting economic
information from approximately 59,000 households (U.S. Bureau of the
Census (1984)).  The representativeness of the SCF is demonstrated by
a comparison of the sample distribution of various demographic
variables for the SCF and comparable March 1983 CPS survey in table 8.
The CPS data are given for "primary families" defined comparably to
families in the SCF.  As can be seen, the  SCF has a very similar
distribution for most items.


                                   Table 8

                   A Comparison of the 1983 SCF and CPS

				       SCF		       CPS

				Number     Weighted	Number	   Weighted
				of cases   share	of cases   share

Age (head)
34 or less
 married                         661        16.9         9922       16.4
 unmarried male                  223         6.2         3435        5.8
 unmarried female                273         7.6         4105        7.2
35 to 44
 married                         555        13.6         7830       13.0
 unmarried male                   71         1.8         1388        2.4
 unmarried female                151         4.1         2165        3.7
45 to 54
 married                         492        10.5         6253       10.3
 unmarried male                   70         1.7          912        1.6
 unmarried female                118         3.2         1735        3.8
55 to 64
 married                         475         9.7         5967       10.3
 unmarried male                   62         1.5          897        1.5
 unmarried female                136         3.7         2130        3.8
65 or more
 married                         452         9.9         5532        9.5
 unmarried male                   74         1.8         1437        2.4
 unmarried female                290         7.7         5293        9.2

Race
 Caucasian                      3468        82.3        47515       82.4
 Nonwhite or Hispanic            635        17.7        11486       17.6

Family Income
 less than $10,000               912        24.0        15053       25.2
 $10,000 to $19,999              982        26.8        15580       26.0
 $20,000 to $29,999              711        19.3        12072       20.5
 $30,000 to $49,999              717        19.7        11533       19.8
 $50,000 to $99,999              309         8.2         4480        7.9
 $100,000 or more                472         2.0          283         .5
 
Homeownership                   2766        63.4        38320       64.9
 
Education of the Head
 0 to 8 grades                   560        14.5         9155       14.8
 9 to 12 grades                 1713        44.9        27269       46.4
 some college                    678        17.7        10355       17.6
 college graduate               1152        22.9        12222       21.3

Labor Force Participation
 single not working              635        17.0        11130       19.2
 single, working                 833        22.4        12367       21.3
 married, neither working        389         9.8         7088       12.0
 married, one working           1077        23.0        14023       23.4
 married, both working          1169        27.8        14393       24.0

Totals                          4103       100.0        59001      100.0



     The CPS does not collect wealth data comparable to the SCF.
However, detailed household money income, by source, is available from
both the CPS and SCF.  A comparison of 1982 U.S. household totals for
a number of income categories measured by both the SCF and the March
1983 CPS is displayed in Table 9.  The CPS totals are adjusted to
exclude income for secondary families and unrelated individuals, who
would not have been included in the SCF.  We also show a comparison of
the SCF income data with aggregate 1982 household income compiled by
the IRS from tax return data.  A selection of cases was made from the
SCF to represent the population of households that would normally file
tax returns.  Non-taxable income was deleted for these calculations.


                                      Table 9

              Comparisons of Income Measured in SCF, CPS, and IRS Data

                         1982 INCOME   1982 INCOME   1982 INCOME   1982 INCOME
                         1983 SCF      CPS           1983 SCF      IRS DATA
                                                                   TAXABLE INC
                         ($ B)         ($ B)         ($ B)         ($ B)

Salaries and wages       1,393.7       1,443.5       1,385.7       1,564.6 
Business or farm income    291.3         110.5         290.4          53.7 
Taxable interest income     98.5          95.1          95.9         157.2 
Dividend income             ----          ----          46.7          54.2 
Net gains from stocks       ----          ----          50.4          24.3 
Rental or trust income      ----          ----          54.8          -2.1 
Dividends/trust/
rental total               102.9          47.3	        ----          ----
Welfare or public
 assistance                 23.2          17.4          ----          ----
Unemployment or
 workman's comp             20.6          32.8	        ----          ----
Alimony or child
 support                    35.6          21.4          ----          ----
Retirement income          194.6         204.3          94.0          59.9 

Category totals          2,160.4       1,972.3       2,017.9       1,911.8



     The 1983 SCF overstates comparable CPS income by about 6 percent.
Most of this overstatement stems from business income and income from
dividends, trusts, and real estate.  Interestingly, in a comparison of
data with an "independent source" in 1983, the Census Bureau concluded
that CPS income data "underreported by about 10 percent" (U.S. Bureau
of the Census (1985, p. 218)).  The SCF also overstates IRS household
income by about 7 percent.  Much of the discrepancy can be explained
by the SCF's failure to find significant business, rental, and
security losses.

PENSION PROVIDER SURVEY
     The sample for the study of Employer Sponsored Pension Benefit
Plans was derived in three interdependent stages.  The overall
research design was based on the use of the 1983 SCF to identify, in
turn: which households were covered by employer sponsored pensions;
which pension providers and plans covered these employees; and which
benefit formulas and requirements governed these pension entitlements.
All respondents or spouses with work experience were questioned about
pension coverage on their current job, as well as vested pension
entitlements from prior employers as part of the SCF.  Households that
reported pension coverage were asked to identify the provider of the
pension -- in most cases, their employer.  All the pension providers
thus identified were pooled and duplicate references to the same
provider were combined.
     In many instances sufficient information was available from the
name of the pension provider to uniquely identify them, and from files
available at the Department of labor to identify their Employer
Identification Number (EIN).  In other instances, a telephone
interview was conducted with the pension provider.  The provider was
asked for their EIN and for documentation of the pension plans that
covered workers in the occupational classification and work location
that corresponded to the reference SCF respondent(s) applying to that
provider (the names of the SCF respondents were not disclosed to the
pension providers who were told that SRC was doing a survey of
pensions).  Pension Providers were recontacted by mail and telephone
as necessary to insure a high response rate.
     The EIN and plan names and numbers were sufficient in most
instances for SRC staff to match to official plan descriptions (SPDs)
on file with the Department of Labor for most pension providers.  In
other instances the providers sent the SPDs or similar material to
SRC.  The details of the plans were then coded from the SPDs using a
coding instrument developed by Mathematica Policy Research and SRC.
Coders were hired by SRC specifically for the project, which required
more skill than is generally necessary for coding (the final
instrument has about 2,700 variables).  Information was compiled
separately for defined benefit and defined contribution plans.  1886
households (2262 individuals) were eligible for potential inclusion in
the Pension Provider Survey.  Of this total 1421 households (1641
individuals) were represented in the Pension Plan Survey for a 75
percent completion rate.  These span 845 pension providers and 1011
pension plans.  Data for the Pension Provider Survey is currently
being distributed as part of the 1983 SCF package.  A description of
the survey is found in "Survey of Consumer Finances: Employer
Sponsored Pension Benefits Plans," the Survey Research Center, 1986,
by Richard T. Curtin.[25]

1986 SURVEY OF CONSUMER FINANCES
     The 1986 Survey re-interviewed respondents to the 1983 SCF.  If
the respondent had been divorced or separated since the 1983
interview, both the 1983 respondent and their 1983 spouse were
included in the 1986 sample.  Other members who left the family to
form new households were not included.  A total of 2,822 interviews
were conducted, by telephone, between June and September 1986.
Interviews lasted an average of 27 minutes.  The survey was conducted
by the SRC under the direction of Richard T. Curtin.
     The 1986 interview was primarily designed to update essential
information in the 1983 SCF on the household balance sheet (needed to
calculate savings) and employment data.  However, additional lines of
inquiry were also opened.  Questions were asked about health and
educational expenses, insurance coverage, more detailed data on family
and family change (including marriage, divorce, death of a spouse,
children outside the home, and ages of parents), charitable gifts of
money and time, shared living arrangements, intra-family transfers and
the financial details of divorce settlements.  A limited amount of
analysis has been performed on the data.  See:

     Robert B. Avery, Gregory E. Elliehausen, and Arthur
     B. Kennickell, "Changes in Consumer Installment Debt: Evidence
     from the 1983 and 1986 Surveys of Consumer Finances," Federal
     Reserve Bulletin, Vol. 73, No. 10 (October 1987), pp. 761-778.

     Robert B. Avery and Arthur B. Kennickell, "Savings and Wealth:
     Evidence from the 1986 Survey of Consumer Finances," presented at
     the May 1988 NBER Conference on Research in Income and Wealth.

MANUAL INSTRUCTIONS
     In the remainder of the manual, information is given on all the
variables included in the final dataset.  A brief description is given
for each variable along with information on imputation and a listing
of the values that the variable takes on.  The question number
corresponding to the actual survey questionnaire (e.g. R9) is also
given for all variables except recodes.  Variables are listed by
number, with the numeric code used as the basis of the variable's
internal name in the survey's SAS data set.  All variables listed here
have a "B" prefix followed by a four digit number ranging from 3001 to
5749.  The original uncleaned survey responses are contained in
variables with a "V" prefix.  These variables range from V1 to V2613.
The codes for the "V" variables are described in the original survey
codebook released by the SRC.  We note, though, that the "B" variables
contain all the same types of information as those contained in the
"V" variables.  Thus, for most analyses, it is possible to use the "B"
variables without reference to the "V" variables.
     The range of allowable values of the variables is also given.
The symbol xxxx is used for continuous variables with a statement of
the units used and the sample range.  For discrete variables with a
small number of allowable codes, all possible values and their
meanings are listed.  The number of sample cases (out of the 4103
"cleaned" observations) taking on each value of discrete variables is
also given.  If the listing is for several variables (such as the 1st,
2nd, and 3rd automobiles), then the case totals are given for the
listed variables, in order, separated by slashes (e.g. 123/45/87
cases).  Although useful in giving a flavor of the distribution of
responses to questions, the case listings should not be used for
statistical purposes, as they are unweighted distributions.
     Most of the information collected for the 1983 SCF applies to the
full family unit.  Some information, however, such as employment,
education, health, and pension income, was collected individually for
the survey respondent and their spouse (if they had one).  For married
couples, the respondent could have been either the husband or the
wife.  For ease of use in analysis most of the person-specific
variables in the cleaned dataset have been arranged as "head" and
"spouse," (where head is always the husband for married couples),
instead of "respondent" and "spouse."  It is easy to switch data back,
if desired, by using the variable B3122 which indicates whether the
respondent was the head or the spouse. 
     Several different codes are used in the dataset, including:

     (1)  The code "1" is almost always used for the answer "yes" to a
          question;

     (2)  The code "3" is generally used for the answer "sometimes" or
          "maybe";

     (3)  The code "5" is almost always used for the answer "no" to a
          question;

     (4)  The code "-4" is used to denote a "small negative number";
	
     (5)  The code "-6" is used to denote the answer "none" which is
          sometimes differentiated from zero;

     (6)  The code "-7" is used to denote a special "other" response
          which does not fit into existing codes.  SRC has cards
          indicating what the actual response is.  "-7" is also
          sometimes used to denote answers like "forever" or "never"
          when used for continuous variables;

     (7)  The code "-8" is used to denote the answer "don't know"
          (DK).  Most DKs have been imputed, but some still exist for
          selected variables where imputation is not appropriate
          (e.g. attitudinal variables).  In a few instances "8" is
          used for DK; 

     (8)  The code "-9" is used to denote "not answered" (NA).  This
          indicates either that the interviewer inadvertently did not
          ask a question or  that a respondent refused to answer.
          Most NAs have been imputed, but a few remain.  In a few
          instances "9" is used for NA; 

     (9)  The code "0" is generally used to denote cases where a
          variable is inappropriate for a particular observation
          because the question which underlies the variable was not
          asked.  For example, questions on spouses would be
          inappropriate for single households.  Note that sometimes a
          question is asked, but the answer given is none or zero
          (such as "my business is worth nothing").  These answers are
          generally coded as -6 not 0.  There are some instances,
          particularly with recoded variables, where 0 does denote
          none or nothing.

     All variables on the tape are integers.  All dollar amounts are
given in whole dollars (although in answering the questions
respondents may have rounded).  Some variables had to be rescaled so
that information would not be lost (such as percentage answers which
are generally multiplied by 100).

ACKNOWLEDGEMENTS
     Many people contributed to the 1983 Survey of Consumer Finances.
Sampling, field work, editing, and coding were conducted by the Survey
Research Center of the University of Michigan under the direction of
Richard T. Curtin.  Mr. Curtin also oversaw the cleaning and
processing of the Pension Provider Survey data.  Other SRC staff also
made substantial contributions.  Mary Grace Moore and Lisa Poole
coordinated much of the questionnaire development and data processing
and editing procedures.  Steve G. Heeringa supervised the sample
design and drawing of the SRC sample.  Field work was supervised by
Nancy Gebler.  Coding and editing staff were supervised by Joan
Scheffler.  Much of the field work, and the development of the coding
instrument for the Pension Provider Survey was done by Mathematica
Policy Research.  Miles Maxfield and Tim Carr supervised these
activities.
     Thomas A. Gustafson, of the Department of Health and Human
Services co-authored the questionnaire, taking primary responsibility
for the pension questions and overseeing the development of the
Pension Provider Survey.  Arthur Kennickell, of the Federal Reserve
Board, developed the Federal Reserve Board weights, helped in writing
this manual, and played a critical role in the later stages of data
cleaning and imputation.  He also co-authored the 1986 Survey of
Consumer Finances.
     Many individuals helped in the development of the survey
instrument.  Particularly noteworthy contributions were made by Glenn
B. Canner and James T. Fergus (Federal Reserve Board); Janet Gordon,
Melanie Quinn, Peter Struck (Office of the Comptroller of the
Currency); Daniel J. Villegas (Federal Trade Commission); Walter
Kolodrubetz (Department of Labor); and Nelson McClung (Office of Tax
Analysis).  Comments and helpful suggestions were also received from
Emily S. Andrews, Stuart B. Avery, Marshall E. Blume, Thomas
A. Durkin, Robert M. Fisher, Gary Gilbert, Arnold A. Heggestad,
Malcolm Jensen, F. Thomas Juster, Robert W. Johnson, Myron Kwast,
Barbara R. Lowrey, Charles A. Luckett, Olivia S. Mitchell, Dorothy
S. Projector, Lawrence H. Summers, Cameron Whiteman, and John
D. Wolken.  Tom Petska, Fritz Scheuren, and Dan Skelly, of the
Statistics of Income Division of the Internal Revenue Service,
provided the high-income sample and weights. Research assistance for
data cleaning and imputation at the Federal Reserve Board was provided
by Aliki Antonatos, Oscar Barnhardt, Phoebe Roaf, Julie Rochlin and
Julia Springer.  Additional assistance was provided by Neil Briskman,
William Carbaugh, M. Elizabeth Crowell, Charlotte Jackson, Scott
Hedges, Pat Ma, Elaine Peterson, Missi Reinkemeyer, Bob Schmitt, Paul
Hughes- Cromwick, and Sharon Ward.

                                      
WEIGHTS AND I.D. CODES
     Inclusion of households in the final "cleaned" survey sample
results from a series of implicit stratified selection criteria.
There are three major sources of implicit stratification:  
(1) within the area probability sample, certain types of households
turned out to be less likely to participate in the survey when
selected; (2) the sample is unlikely to fully reflect the
U.S. population due to sampling error in the survey itself; 
and, (3) not all observations turned out to be usable for analysis
because of significant missing information due to deliberate or
inadvertent actions.  Another relevant issue is the fact that two
different sampling frames, area probability and IRS tax files, were
used to draw observations.  Methods used to construct weights to
compensate for these sources of stratification and mix the area
probability sample and high-income observations are described fully in
the summary.  This section presents information on specific weighting
variables.  We should note, that throughout this section, case totals
reflect the entire 4,262 observation sample.  In all other sections of
the manual, case totals reflect the 4,103 observation "cleaned" sample.

                                       ENDNOTES
   1. The interview questionnaire for the household survey was
prepared by Robert B. Avery and Gregory E. Elliehausen, of the Federal
Reserve Board, and Thomas A. Gustafson, of the Department of Health
and Human Services, with assistance from staffs of the sponsoring
agencies.  Field work and editing and coding of survey responses was
performed under the direction of Richard T. Curtin of the SRC.
Mr. Curtin and Timothy Carr and Miles Maxfield, of Mathematica Policy
Research, administered the Pension Provider Survey.  The Statistics of
Income Division of the Internal Revenue Service, provided the
high-income sample.

   2. A household consists of all the persons who occupy a housing
unit or dwelling.  Persons missed by the survey will be
disproportionately young, because they are college or the military,
and old, because they are in nursing homes.  The later omission,
effecting an estimated 1.4 million people, is the most serious in
terms of wealth measurement.  However, the failure to include a large
number of younger persons is likely to effect the long run
representativeness of the SCF when used as a panel.

   3.Non-SMSA counties with less than 2,000 population were linked
with adjacent counties to form multi-county PSUs.  The SCF sample used
the 1970 SRC sampling frame which was selected from a national
population of 2,700 PSUs, of which 12 were self-representing.  In
addition to SMSA status, the 62 nonself-representing strata were
designed to take into account the location (Census Region), the
population, size of the largest city, and percent manufacturing
(urban) or agricultural (rural) employment of each area.  In the South
Region, the percent black population and a special domain distinction
labeled "the Deep South" (South Carolina, Georgia, Alabama,
Mississippi, and Louisiana) was also used.  By design, the nonself-
representing strata are of approximately equal size each totaling
between 1.7 and 2.5 million population in 1970.

   4. Because New York City is so large, it is treated as though it is
made up of two PSUs.  Thus, we treat the sample as having 75 PSUs, not
74.


   5. The sampling of the second stage units (SSU's) was performed
with probability proportionate to size as measured by the 1970 Census
count of year-round housing units.  In most areas, the largest or
"central" city of each sample PSU was included with certainty.  The
second stage was dropped from the 1980 SRC National Sample design.


   6. The units selected in the third stage are termed "chunks."  In
urbanized areas chunks are defined to be housing units within the land
area given by a Census Block.  However, Blocks with less than 16 year-
round housing units were combined with adjacent Blocks to meet a
minimum 16 unit size.  In rural areas, chunks were defined to be
compact parcels of land with clearly recognizable physical boundaries
(roads, rivers, rail lines, etc.) selected with an expected count of
24 year-round housing units.  Within SSU's the sample of chunks were
selected with probability proportionate to their number of year-round
housing units.

   7. Once the third stage of selection was complete, SRC personnel
performed a complete listing of all housing units within the physical
boundaries of each chunk.  For the 1983 SCF about three-fourths of the
chunks has been previously listed for other surveys; thus only
updating of the listings were necessary.  These lists formed the basis
of selection for the fourth stage of sampling.


   8. Housing units were selected randomly within each chunk.  The
sampling rate was set inversely proportional to the number of year-
round housing units within the chunk as determined by the listings.

   9. These procedures followed fairly standard SRC methods.  For a
more detailed description of these methods, see Irene Hess, Sampling
for Social Research Surveys: 1947-1980, Ann Arbor: Institute for
Social Research, 1985.

  10. Unfortunately, because of legal restrictions, knowledge of the
exact sampling procedures is restricted to employees of the SOI.  The
sample drawn appears to roughly coincide with individuals having an
"adjusted gross income," modified for full capital gains and other
exclusions, of $100,000 or more in 1980.

  11. Actually only the 12 self-representing and 31 of the 62 nonself-
representing PSUs were used for the high-income sample list.  The
decision to exclude high-income households in the remaining nonself-
representing PSUs was based on a joint consideration of survey costs
and the relatively small expected size of the high-income sample.
Because the SOI listings were by address, and the area probability
PSUs were defined by county, some slight approximations were used in
defining the SOI sample.  The actual SOI sample was defined by the ZIP
codes corresponding to the SRC sample counties, with the county
location of the main post office in a ZIP code used when county and
ZIP code boundaries did not correspond exactly.

  12. The overall response rate of the high-income mailing (9 percent)
may not be quite as bad as it appears.  SOI typically has response
rates of no more than 20 to 30 percent even for mailings extremely
favorable to the respondent.  The low 1983 SCF response rate was also
caused by the failure to send a followup letter.

  13. These procedures differ slightly from the procedures normally
used for the selection of household respondent by SRC.  Generally,
only the economic dominance and age closest to 45 criteria are used.

  14. Rates for income non-response were much higher.  1.8 percent of
the high-income sample gave no income data, and an additional 4.6
percent gave only partial data.  Comparable figures for the edited
area probability sample were 5.5 percent and 7.1 percent.  Only 2
percent of the discarded area probability sample respondents gave any
income data, and these respondents gave only partial data.

  15. Means were computed separately for the high-income and cross-
section sample on an item-by-item basis and were based only on
respondents who gave dollar values.

  16. One household was discarded which did not meet these criteria
because it reported more than a billion dollars in assets and appeared
to be an insincere interview.

  17. See Steven G. Heeringa and Richard T. Curtin, "Household Income
and Wealth: Sample Design and Estimation for the 1983 Survey of
Consumer Finances," Statistics of Income and Related Record Research
1986-1987, Internal Revenue Service 1987.

  18. See Michael Strudler, General Descriptive Booklet for the 1982
Individual Tax Model File, Statistics of Income Division, Internal
Revenue Service, 1983.

  19. An estimate of the standard error due to sampling of the
estimated aggregate of each asset and liability category is given in
column 2.  These figures were computed by calculating the sample
variance of each item within each sampling unit (75 area probability
PSUs and nine high-income categories).  Assuming independence of
sample draws across each of these cells, the variance of an asset or
debt category total was then calculated as the sum of the variances of
each item included in that category weighted by the cell populations.
Because these estimates take the sampling weights as fixed they are
likely to understate the true sampling variance of the weighted sums.

  20. See, for example, George Katona, Louis Mandell, and Jay
Schmeideskamp, 1970 Survey of Consumer Finances, Ann Arbor: Institute
for Social Research: 1971.

  21. See Thomas A. Durkin and Gregory E. Elliehausen, 1977 Consumer
Credit Survey, Washington D.C. :, Board of Governors of the Federal
Reserve System, 1978.

  22. See Dorothy S. Projector and Gertrude S. Weiss, Survey of
Financial Characteristics of Consumers, Washington D.C.: Board of
Governors of the Federal Reserve System, 1966.

  23. See Robert B. Avery, Gregory E. Elliehausen, Arthur B.
Kennickell, and Paul A. Spindt, "The Use of Cash and Transaction
Accounts by American Families," Federal Reserve Bulletin 72 (February
1986): pp. 87-108; and Robert B. Avery, Gregory E. Elliehausen, Arthur
B. Kennickell, and Paul A. Spindt, "Changes in the Use of Transaction
Accounts and Cash from 1984 to 1986," Federal Reserve Bulletin 73
(March 1987): pp. 179-196.

  24. Detailed discussion of the survey findings can be found in
"Household Wealth and Asset Ownership: 1984," Household Economic
Studies Series P-70, No.  7 (July 1986), Bureau of the Census; and
John M. McNeil and Enrique J. Lamas, "Year-Apart Estimates of
Household Net Worth from the Survey of Income and Program
Participation," NBER Conference on Research in Income and Wealth,
Baltimore, 1987.  Richard T. Curtin, F. Thomas Juster, and James N.
Morgan, "Survey Estimates of Wealth: An Assessment of Quality," NBER
Conference on Research in Income and Wealth, Baltimore, 1987, provide
a detailed comparison of the PSID, SIPP, and 1983 SCF wealth data.

  25. The 1986 SCF was co-sponsored by the Federal Reserve Board, the
Department of Health and Human Services, The Office of the Comptroller
of the Currency, and the General Accounting Office.




                     VARIABLE LISTING AND DEFINITIONS


                              Observation Code

V1 	OBSERVATION CODE.
        This is a unique observation identifier.  It corresponds to
        the case I.D. on the actual interview facesheet.  It was
        assigned chronologically in the order the interviews were
        processed.

        xxxx. code (1 to 4288)


B3001 	SAMPLE CODE.
        This code indicates which sample the observation is in.

        1. high-income sample (438 cases)
        2. area probability sample "cleaned" sample (3665 cases)
        3. area probability sample excluded observations (159 cases)


                    Full Area Probability Sample weights

B3002 	NON-RESPONSE ADJUSTMENT FACTOR.
        This variable adjusts the area probability sample for the first type of
        stratification cited above.  The non-response adjustment
        factor is computed as the reciprocal of the household response
        rate of the primary sampling unit (PSU) to which the household
        belongs (see variable B3013).  There are 75 different PSUs in
        the sample (although there are only 64 unique values for
        B3002).  The range of this variable is 1.055 to 2.924 with a
        mean of 1.41013 for the full area probability sample.

        xxxxx. weight times 10000 (10,550 to 29,240)
            0. high-income sample (438 cases)


B3003 	1980 POST-STRATIFICATION WEIGHT.
	This variable provides one adjustment for the second factor
        cited above.  It adjusts the full area probability sample
        (weighted by B3002) to have the same total number of
        households as the 1980 census (excluding Alaska and Hawaii).
        It separately weights the sample for the four regions of the
        country (see B3117) further divided by urban (center city and
        suburbs, B3118 = 1-4) and rural (adjacent and outlying
        divisions, B3118 = 5-6).  Urban/rural distinctions are
        determined for each observation according to the treatment of
        its area in the 1970 Census (although population figures are
        given as of 1980).  B3003 takes on only seven possible values,
        with a mean of 14840.1. 

	13733. urban south (622 cases)
	14133. urban northeast (562 cases)
 	14133. urban north central (625 cases)
	15280. rural north central (435 cases)
	15400. rural northeast (211 cases)
	15613. urban west (482 cases)
	15680. rural south (729 cases)
	16319. rural west (158 cases)
	    0. high-income sample (438 cases)


B3004 	1983 POST-STRATIFICATION WEIGHT.
	This variable is identical to B3003 except that a different
        post-stratification scheme is used.  Observations were grouped
        into five geographic areas within each U.S. region: (1)
        central cities of SMSAs with more than 1,000,000 persons
        (B3119 = 1,2); (2) other areas within SMSAs with more than
        1,000,000 persons (B3119 = 4,5); (3) central cities of SMSAs
        with less than 1,000,000 (B3119 = 3); (4) other areas within
        SMSAs with less than 1,000,000 (B3119 = 6); and (5) non-SMSA
        areas (B3119 = 7).  SMSA and central city distinctions were
        made according to 1970 Census definitions, because these were
        used in the basic sampling frame.  The one million person
        cutoff, however, was made according to the 1983 estimated
        population of each 1970-defined SMSA.  Post-stratification
        weights were computed for each of the 20 U.S. areas to blow-up
        the full area probability sample (adjusted for non-response)
        into the estimated 1983 U.S. total of 83,918,000 households
        (and the 20 sub-groups as well).  Unlike B3003, the
        post-stratification for the western region in B3004 includes
        Alaska and Hawaii.  This ex-post weighting scheme is
        essentially the same as that used by the Census Bureau in
        reporting the March 1983 CPS survey, which used a similar
        sampling strategy as that of the SCF. 

	 9235. northeast, suburban, less than 1,000,000 in the SMSA
	       (215 cases) 
	10801. north central, suburban, less than 1,000,000 in the
	       SMSA (188 cases) 
	13123. south, suburban, less than 1,000,000 in the SMSA 
               (265 cases) 
	14112. north central, non-SMSA (404 cases)
	14274. north central, center city, less than 1,000,000 in the
               SMSA (150 cases) 
	14958. south, non-SMSA (652 cases)
	15191. west, center city, more than 1,000,000 in the SMSA (131 cases)
	15533. north central, center city, more than 1,000,000 in the
               SMSA (144 cases) 
	15833. south, suburban, more than 1,000,000 in the SMSA (153 cases)
	16081. west, non-SMSA (158 cases)
	16500. northest, center city, more than 1,000,000 in the SMSA
               (144 cases) 
	16665. northeast, suburban, more than 1,000,000 in the SMSA
               (192 cases) 
	17077. northeast, non-SMSA (149 cases)
	17202. south, center city, more than 1,000,000 in the SMSA 
               (92 cases)
	18123. west, suburban, less than 1,000,000 in the SMSA (106 cases)
	18427. west, suburban, more than 1,000,000 in the SMSA (163 cases)
	18439. northeast, center city, less than 1,000,000 in the SMSA
               (73 cases) 
	19621. west, center city, less than 1,000,000 in the SMSA (82 cases)
	19973. south, center city, less than 1,000,000 in the SMSA (189 cases)
	21608. northeast, suburban, more than 1,000,000 in the SMSA
               (174 cases) 
	    0. high-income sample (438 cases)


B3005 	FULL SAMPLE 1983 COMPOSITE WEIGHT.
	This variable is equal to the non-response adjustment factor
        weight (B3002) times the 1983 post-stratification weight
        (B3004).  THIS IS THE RECOMMENDED WEIGHT TO USE WITH THE FULL
        AREA PROBABILITY SAMPLE.  This weight will "blow up" the 3,824
        observation full area probability sample into the aggregate
        U.S. household population (including Alaska and Hawaii) as
        measured by the 1983 CPS.  The average value of B3005 is
        21,945.3 and it totals 83,918,807. 

	xxxxx. weight (10,860 to 50,299)
	    0. high-income sample (438 cases)


                  "Cleaned" Area Probability Sample Weights

B3006 	INCLUSION PROBIT PREDICTED VALUE.
	This variable is the "y-hat" of the "cleaned" area probability
        sample inclusion probit model.

	xxxxx. "y hat" times 10000 (2,111 to 48,565)
	    0. high-income sample (438 cases)


B3007 	CLEANED SAMPLE INCLUSION WEIGHT.
	This variable is the inverse of the estimated probability that
        an observation would be included in the cleaned area
        probability sample, given it is in the full area probability
        sample.  Its average is 1.04313.  This variable will blow the
        cleaned sample up into the full sample. 

	xxxxx. weight times 10000 (10,000 to 17,135)
	    0. high-income sample or excluded area probability sample
               (597 cases) 


B3008 	CLEANED AREA PROBABILITY 1980 POST-STRATIFICATION
	WEIGHT.
	This variable will post-stratify the cleaned area probability
        sample to the household totals and regional distribution of
        the 1980 Census.  It is approximately equal to B3003 times
        B3007 (the post-stratification was changed slightly).  This
        variable times B3002 (divided by 10,000) is the variable used
        to weight the data presented in the September 1984 and
        December 1984 Federal Reserve Bulletin articles on the 1983
        SCF.  The average value of this weight is 15,496.5 for the
        3,665 observations in the cleaned sample. 

	xxxxx. weight (13,958 to 25,536)
	    0. high-income or excluded area probability sample (597 cases)


B3009 	CLEANED AREA PROBABILITY 1983 POST-STRATIFICATION
	WEIGHT.
	This variable will post-stratify the cleaned area probability
        sample to the household totals by region in the 1983 CPS.  It
        is approximately equal to B3004 times B3007.  The average
        value of this weight is 16,217.9 for the 3,665 observations in
        the cleaned sample. 

	xxxxx. weight (9,276 to 35,950)
	    0. high-income or excluded area probability sample (597 cases)


B3010 	CLEANED-SAMPLE 1983 COMPOSITE WEIGHT.
	This variable is equal to the non-response adjustment factor
        weight (B3002) times the post-stratification weight (B3009).
        THIS IS THE RECOMMENDED WEIGHT TO USE WITH THE CLEANED AREA
        PROBABILITY SAMPLE.  This weight will blow the 3,665
        observation area probability sample up into the aggregate
        (including Alaska and Hawaii) U.S. household population as
        measured by the 1983 CPS.  The average value of B3010 is
        22,897.4 and it totals 83,919,054. 

	xxxxx. weight (10,974 to 56,337)
	    0. high-income or excluded area probability sample (597 cases)


B3011 	INCLUSION ERROR EXPECTATION.
	This variable is the expectation of the underlying latent
        variable error in the cleaned area probability sample probit
        inclusion equation conditioned on an observation appearing in
        the cleaned sample (the Mills ratio).  Use of this variable as
        an independent regressor in estimating analytic models may at
        least partially correct for sample selection bias. 

	xxxxx. error expectation times 10000 (9,370 to 50,409)
       	    0. high-income or excluded area probability sample (597 cases)


                      High-income and Total Sample Weights

B3012 	HIGH-INCOME SAMPLE WEIGHTS.
	This variable is given only for the high-income sample and
        gives relative sampling weights within that sample as computed
        by the IRS and the Office of Tax Analysis.  This weight should
        generally be the one used when performing analysis using only
        the high-income sample.  B3012 takes on only nine different
        values ranging from 60 to 2,533.  The nine different classes
        reflect the original sampling frame and are based primarily on
        income.  The mean of B3010 is 1,280.34. 

	  60. (19 cases)
	 121. (100 cases)
	 201. (48 cases)
	 261. (16 cases)
	 442. (21 cases)
	1528. (58 cases)
	2191. (21 cases)
	2472. (46 cases)
	2533. (109 cases)
	   0. area probability sample (3824 cases)


B3013 	FULL SAMPLE PSU CODE.
	This variable gives a unique sampling cell number to all
        observations in the sample.  This variable can be used in
        forming weights.  Values 1 through 9 are the nine cells in
        B3012 for the high-income observations.  The remainder
        indicate area probability sample PSUs.  Values 10 through 22
        are self-representing PSUs.  Values 23 through 54 are PSUs
        primarily in SMSAs and urban areas.  Values 55 through 84 
        imply PSUs primarily in rural counties.

	xx. cell number (1 to 84)


B3014 	FULL SAMPLE SRC COMPOSITE WEIGHT.
	This weight combines the non-response weight (B3002), the 1980
        post-stratification weight (B3003), high-income weights
        (B3010), and an income-based adjustment to mesh the full area
        probability sample with the high-income sample.  The income
        adjustment is very slight for those area probability sample
        observations with incomes below $50,000.  Area probability
        sample observations in higher income strata will have a much
        more significant reduction in their weight.  The high-income
        sample weights are essentially the same as B3012 times 2, with
        a slight population adjustment.  B3014 will blow the full
        sample up into the aggregate 1980 U.S. household population.

	xxxxx. weight (173 to 40,069)


B3015 	FULL CLEANED SAMPLE SRC COMPOSITE WEIGHT.
  	This variable is identical to B3014 except that it applies to
        the cleaned area probability sample and uses the 1983
        post-stratification weight B3009.  This is the weight that was
        used for the March 1986 Federal Reserve Bulletin article. 

	xxxxx. weight (182 to 56,264)
	    0. excluded area probability sample observations (159 cases)


B3016 	EXTENDED INCOME FRB WEIGHT.
	This is a full sample weight which should be similar to B3015
        in use.  It was constructed by post-stratification to the 1982
        IRS tables using extended income (see the summary for a
        description).  THIS IS THE RECOMMENDED FULL SAMPLE WEIGHT.
        The total number of implied households is 83,917,975, with a
        mean weight of 20452.8  No missing values.

	xxxxx. weight (546 to 56,473)
	    0. excluded area probability sample observations (159 cases)


B3017	REVISED SRC AREA PROBABILITY WEIGHT.
	This variable is the revised SRC weight as of 1987.  It takes
        into account the removal of the 159 excluded area probability
        cases, and post-stratifies to July 1, 1983 Census population
        figures. 

	xxxxx. weight (16,529 to 44,471)
	    0. high-income and excluded area probability sample
               observations (597 cases)


B3018	REVISED SRC HIGH-INCOME WEIGHT.
	This variable is the revised SRC high-income sample weight as
        of 1987.  This weight takes into account different response
        rates from the self-representing and other PSUs for the
        initial SOI sampling. 

	xxxx. weight (59 to 11,783)
	   0. area probability sample (3824 cases)


B3019	REVISED SRC COMPOSITE WEIGHT.
	This variable is the revised SRC composite weight as of 1987.
        It combines B3017 and B3018 and is designed to be used with
        the full 4103 sample. 

	xxxxx. weight (60 to 43,601)
	    0. excluded area probability sample observations (159 cases)


                        Pension Provider Survey

			(H) Head (husband if Married)
			(S) Spouse (wife)


B3031 (H) 	COMPLETION CODE.
B3053 (S) 	This variable is a constructed variable indicating
                whether or not the Pension 
                Provider Survey was successfully completed.

		1. the Pension Provider Survey completed and coded
                   (1181/460 cases) 
		2. the Pension Provider Survey contact made, but the
                   survey could not be coded (288/67 cases)
		3. permission for the Pension Provider Survey given,
                   but could not contact the pension provider (18/3 cases)
		4. permission for the Pension Provider Survey given
                   and contact made; however, respondent/spouse
                   actually not eligible for pension and should not
                   have been asked for pension information (38/6 cases)
		5. eligible for the Pension Provider Survey, but
                   permission and/or the name of the pension provider
                   not given (147/53 cases) 
		6. not eligible for Pension Provider Survey (2590/2147 cases)
		0. INAP, no spouse (0/1526 cases)


B3032 (H) 	PENSION CORRESPONDENCE.
B3054 (S) 	This variable indicates which job identified at the
                interview as appropriate for the Pension Provider
                Survey.  If the Pension Provider Survey was completed,
                this variable indicates which job it applies to. 

		1. Pension Provider Survey corresponds to current job
                   (1537/544 cases) 
		2. Pension Provider Survey corresponds to the job
                   before retired/disabled or the last paid job if a
                   student or housewife (44/28 cases) 
		3. Pension Provider Survey corresponds to longest
                   prior job (83/16 cases) 
		4. Pension Provider Survey corresponds to the job from
                   which respondent expects to or now receives a
                   pension (8/1 cases) 
		0. INAP, no Pension Provider job information given or
                   no spouse (2590/3673 cases)

	question: X14/X15


B3033 (H,#1)	PENSION PROVIDER SURVEY PENSION PROVIDER ID NUMBER.
B3038 (H,#2) 	This variable indicates the four digit number assigned to
B3043 (H,#3)	the pension provider sought for this observation.  Answered
B3048 (H,#4)	Answered only if contact with the pension provider was sought
B3055 (S,#1)	(B3031 or B3053 coded 1 to 4).  Normally only one provider was
B3060 (S,#2)   	sought per person.  In about ten cases, however, it turned out
B3065 (S,#3)	that an individual had two providers (usually with two plans).
B3070 (S,#4)	In these instances B3033 may be different than B3038
                etc.  It was common, though, for the person to be in
                multiple plans provided by the same provider.  This will 
                be indicated in the file by the variable B3035
                etc. The variable B3033 etc. corresponds to the
                variable V3 (PPID) in the Provider Survey file. 

		xxxx. code (5001-8033)
		   0. INAP not in Pension Provider Survey, no spouse,
                      or not that many plans (2737/4132/4239/4261
		      3726/4219/4258/4262 cases)


B3034 (H,#1)	PENSION PROVIDER SURVEY RESULT CODE.
B3039 (H,#2) 	This variable indicates the result of the Pension Provider
B3044 (H,#3)	Survey inquiry for this observation and this plan.  Answered
B3049 (H,#4)	only if contact with the pension provider was sought (B3031
B3056 (S,#1)	or B3053 coded 1 to 4).  Except in a few instances this
B3061 (S,#2)	variable will have the same value for all plans of a person.
B3066 (S,#3)
B3071 (S,#4)	1. complete interview (1181/125/22/1/460/42/4/0 cases)
		2. partial interview -- no SPD (129/1/0/31/0/0/0 cases)
		3. complete interview but incomplete SPD
                   (72/4/1/0/10/1/0/0 cases) 
		4. refusal by provider to complete interview
                   (87/0/0/0/26/0/0/0 cases) 
		5. no pension plan at provider (28/0/0/0/4/0/0/0 cases)
		6. pension plan at provider but respondent/spouse job
                   not covered (10/0/0/0/2/0/0/0 cases)
		7. inadequate or incorrect name/address of provider
                   given  (4/0/0/0/1/0/0/0 cases)
		8. could not locate provider (14/0/0/0/2/0/0/0/0 cases)
		0. INAP not in Pension Provider Survey, no spouse, or
                   not that many plans (2737/4132/4239/4261
                   3726/4219/4258/4262 cases)


B3035 (H,#1)	PENSION PROVIDER SURVEY PENSION PLAN NUMBER.
B3040 (H,#2) 	This variable indicates the three digit pension plan number
B3045 (H,#3)	assigned to this particular observation in the Pension
B3050 (H,#4)	Provider Survey.  Answered only if the Pension Provider Survey
B3057 (S,#1)	was successfully coded (B3031 or B3053 coded 1).  This number
B3062 (S,#2)   	is should be used in combination with the Provider ID for a
B3067 (S,#3)	unique identification of the plan/provider.  It corresponds to
B3072 (S,#4)	to variable V4 (PLAN #) in the Provider Survey file.

		xxx. code (1-997)
		 -8. plan number not assigned (30/0/0/0/31/1/0/0 cases)
		 -9. NA, no official plan number (270/11/1/0/151/9/0/0 cases)
		  0. INAP not in Pension Provider Survey, no spouse,
                     or not that many plans (3081/4137/4240/4261
		     3802/4220/4258/4262 cases)


B3036 (H,#1)	PENSION PROVIDER SURVEY PENSION PLAN SEQUENCE NUMBER.
B3041 (H,#2) 	This variable indicates the sequence code number of the
B3046 (H,#3)	Pension Provider Survey plan which corresponds to the
B3051 (H,#4)	observation.  Answered only if the Pension Provider Survey was
B3058 (S,#1)	successfully coded (B3031 or B3053 coded 1).  Both head and
B3063 (S,#2)	spouse could have up to four different pension plan sequence
B3068 (S,#3)	IDs.  This variable corresponds to the variable V2 (SEQ #)
B3073 (S,#4)	in the Provider Survey file.

		xxxx. code (1-1132)
		   0. INAP not in Pension Provider Survey, no spouse,
                      or not that many plans (3081/4137/4240/4261
		      3802/4220/4258/4262 cases)


B3037 (H,#1)	PENSION PROVIDER SURVEY PENSION INTERVIEW CODING ID.
B3042 (H,#2) 	This variable indicates the code number of the Pension
B3047 (H,#3)	Provider Survey plan which corresponds to the observation.
B3052 (H,#4)	Answered only if the Pension Provider Survey was successfully
B3059 (S,#1)	coded (B3031 or B3053 coded 1).  Both Head and Spouse could
B3064 (S,#2)	have up to four different Pension Plans IDs, although only one
B3069 (S,#3)	pension provider contact was made for each individual.  This
B3074 (S,#4)	occurred because some pensions had multiple plans and
                parts.  This variable correspondes to the variable V1
                (CODING ID) in the Provider Survey file.  If the code
                is between 1 and 2,999 then it indicates that the plan
                is a defined benefit plan.  If the code is between
                3,000 and 4,999 then the plan is a defined benefit
                plan.  If the code is 5,000 or over then it signifies
                a mixed defined benefit/contribution plan. 

		xxxx. code (1-5043)
		   0. INAP not in Pension Provider Survey, no spouse,
                      or not that many plans (3081/4137/4240/4261
		      3802/4220/4258/4262 cases)



                        1986 Survey of Consumer Finances

B3075	1986 SURVEY OF CONSUMER FINANCES CONTACT STATUS.
	This variable indicates the status of the household in the
        1986 Survey of Consumer Finances.

	1. excluded area probability observation, not used for either
           1983 or 1986 samples (159 cases)
	2. household interviewed in 1983 but not in 1986 (1322 cases)
	3. household interviewed in 1986 as an intact unit (2612 cases)
	4. household split in 1986, both respondent and spouse
           interviewed separately (41 cases, thus 82 cases in 1986)
	5. household split in 1986, only one part (respondent or
           spouse) interviewed (128 cases)


B3076 (H)	1986 SURVEY OF CONSUMER FINANCES LOCATION CODE.
B3078 (S)	This variable indicates whether the 1983 head (and/or
                spouse) participated in the 1986 Survey of Consumer
                Finances.  No missing values. 

		1. head/spouse married in 1983, still married in 1986
                   and interviewed in 1986 (counted as one 1986
                   observation) (1748/1748 cases) 
		3. head/spouse married in 1983, still married in 1986
                   and couple found but refused interview in 1986
                   (284/284 cases) 
		4. head/spouse married in 1983, still married in 1986
                   and couple could not complete interview because of
                   physical inability of respondent in 1986 (8/8 cases)
		5. head/spouse married in 1983, still married in 1986
                   and couple could not complete interview because of
                   language problem in 1986 (7/7 cases) 
		6. head/spouse married in 1983, still married in 1986
                   and couple could not complete interview because
                   household was overseas during entire study period 
                   in 1986 (7/7 cases)
		7. head/spouse married in 1983, 1986 marital status
                   unknown, neither respondent nor spouse could be
                   located in 1986 (229/229 cases) 
		8. head/spouse married in 1983, 1986 marital status
                   unknown, household not included for 1986 survey
                   because it refused to give either address or phone 
                   recontact information in 1983 (46/46 cases)
		9. head/spouse married in 1983, 1986 marital status
                   unknown, household not included for 1986 survey
                   because excluded by SRC randomly (109/109 cases) 
	       10. head/spouse married in 1983, 1986 marital status
                   unknown, household not included for 1986 survey
                   because it was in the excluded area probability 
                   sample in 1983 (it did give recontact information,
                   however) (93/93 cases) 
	       11. head/spouse married in 1983, no longer together in
                   1986 and head (or spouse) interviewed in 1986 (thus
                   if both B3040 and B3042 are coded 11 the household 
                   counts as two 1986 observations, if only one is
                   coded 11 then it counts as one 1986 observation)
                   (88/112 cases) 
	       12. head/spouse married in 1983, no longer together in
                   1986 and head (or spouse) gave a partial interview
                   in 1986 (not treated as a 1986 observation) (9/9 cases)
               13. head/spouse married in 1983, no longer together in
                   1986 and head (or spouse) found but refused
                   interview in 1986 (5/12 cases) 
	       14. head/spouse married in 1983, no longer together in
                   1986 and head (or spouse) could not complete
                   interview because of physical inability in 1986 (3/3 cases)
	       16. head/spouse married in 1983, no longer together in 1986
                   and head (or spouse) could not complete interview
                   because household was overseas during entire study
                   period in 1986 (0/1 cases) 
	       17. head/spouse married in 1983, head (or spouse)
                   deceased in 1986 (73/36 cases) 
	       18. head/spouse married in 1983, no longer together in
                   1986 and head (or spouse) could not be located in
                   1986 (23/20 cases) 
	       19. head/spouse living as partners in 1983, no longer
                   together in 1986 and head (or spouse) was not
                   pursued for an interview in 1986 (4/2 cases) 
  	       21. respondent not married in 1983, interviewed in 1986
                   (counted as one 1986 observation) (864/0 cases) 
	       23. respondent not married in 1983, respondent found
                   but refused interview in 1986 (131/0 cases)
	       24. respondent not married in 1983, respondent could
                   not complete interview because of physical
                   inability in 1986 (14/0 cases) 
	       25. respondent not married in 1983, respndent could not
                   complete interview because of language problem in
                   1986 (3/0 cases) 
	       26. respondent not married in 1983, could not complete
                   interview because respndent was overseas during
                   entire study period in 1986 (4/0 cases) 
	       27. respondent not married in 1983, respondent deceased
                   in 1986 (45/0 cases) 
	       28. respondent not married in 1983, respondent could
                   not be located in 1986 (253/0 cases)
	       29. respondent not married in 1983, household not
                   included for 1986 survey because it refused to give
                   address or phone recontact information in 1983 (35/0 cases)
	       30. respondent not married in 1983, household not
                   included for 1986 survey because it was excluded by
                   SRC randomly (126/0 cases) 
	       31. respondent not married in 1983, household not
                   included for 1986 survey because it was in the
                   excluded area probability sample in 1983 (it did give 
                   recontact information, however) (51/0 cases)
		0. INAP, no spouse (0/1526 cases)


B3077 (H)	1986 SURVEY OF CONSUMER FINANCES ID CODE.
B3079 (S)	This variable is the 1986 ID code (V1 number)
                corresponding to the head (and spouse in B3043 if
                interviewed separately). 

		xxxx. ID number (17-7340) 
		   0. INAP, household excluded from 1986 survey or no
                      spouse (460/1774 cases) 


                          HOUSEHOLD DEMOGRAPHICS

                           Persons in Household

B3101 	TOTAL NUMBER OF PERSONS IN HOUSEHOLD (PRIMARY FAMILY).
	This is the total number of people in the household (or
        primary family) referred to throughout the questionnaire.  It
        excludes all non-related persons who live in the household
        unit (dwelling) but are not in the primary family.  This variable 
        corresponds to the Census Bureau's terms "family" or
        "non-family householder" and SRC's term "family unit." As
        indicated in the summary, for household units with multiple
        families, only the primary family was interviewed.  Household
        composition is taken from the interviewer coding sheet.  No
        missing values. 

	 1. one (938 cases)
	 2. two (1272 cases)
	 3. three (717 cases)
	 4. four (683 cases)
	 5. five (307 cases)
	 6. six (115 cases)
	 7. seven (40 cases)
	 8. eight (21 cases)
	 9. nine (7 cases)
	11. eleven (2 cases)
	13. thirteen (1 case)


B3102 	TOTAL NUMBER OF PERSONS IN HOUSEHOLD 18 OR OLDER.
	This total excludes any non-related persons who live in the
        household structure but are not in the primary family.  Age is
        determined from the interviewer coding sheet.  Even if the
        respondent or spouse are under 18 he/she will be included 
        here.  No missing values.

	1. one (1169 cases)
	2. two (2232 cases)
	3. three (482 cases)
	4. four (169 cases)
	5. five (34 cases)
	6. six (15 cases)
	7. seven (1 case)
	8. eight (1 case)

B3103 	TOTAL NUMBER OF PERSONS IN HOUSEHOLD 65 OR OLDER.
	This total excludes any non-related persons who live in the
        household structure but are not in the primary family.  Age is
        determined from the interviewer coding sheet.  No missing values.

	1. one (588 cases)
	2. two (320 cases)
	3. three (6 cases)
	4. four (1 case)
	0. no household members 65 or older (3188 cases)


B3104 	TOTAL NUMBER OF PERSONS IN HOUSEHOLD UNDER 18.
	This total excludes any non-related persons who live in the
        household structure but are not in the primary family.  Age is
        determined from the interviewer coding sheet.  Respondent or
        spouse are not included here even if under 18 (B3104 plus 
        B3102 will equal B3101).  No missing values.

	1. one (667 cases)
	2. two (624 cases)
	3. three (228 cases)
	4. four (71 cases)
	5. five (27 cases)
	6. six (5 cases)
	7. seven (6 cases)
	8. eight (2 cases)
	0. no household members under 18 (2473 cases)


B3105 	AGE OF YOUNGEST CHILD UNDER 18.
	Excludes any non-related persons who live in the household
        structure but are not in the primary family.  It includes all
        children under 18, not just the children of the respondent
        and/or spouse.  Age is determined from the interviewer coding 
        sheet.  Respondent or spouse are not listed here even if under
        18.  No missing values.

	 1. one (288 cases)
	 2. two (158 cases)
	 3. three (88 cases)
	 4. four (92 cases)
	 5. five (84 cases)
	 6. six (82 cases)
	 7. seven (76 cases)
	 8. eight (79 cases)
	 9. nine (75 cases)
	10. ten (76 cases)
	11. eleven (73 cases)
	12. twelve (77 cases)
	13. thirteen (82 cases)
	14. fourteen (66 cases)
	15. fifteen (64 cases)
	16. sixteen (84 cases)
	17. seventeen (86 cases)
	 0. no household members under 18 (2473 cases)


B3106 	AGE OF OLDEST CHILD UNDER 18.
	Excludes any non-related persons who live in the household
        structure but are not in the primary family.  Age is
        determined from the interviewer coding sheet.  Respondent or
        spouse are not listed here even if under 18.  No missing values. 

	 1. one (114 cases)
	 2. two (81 cases)
	 3. three (69 cases)
	 4. four (64 cases)
	 5. five (67 cases)
	 6. six (70 cases)
	 7. seven (64 cases)
	 8. eight (75 cases)
	 9. nine (77 cases)
	10. ten (79 cases)
	11. eleven (81 cases)
	12. twelve (89 cases)
	13. thirteen (95 cases)
	14. fourteen (104 cases)
	15. fifteen (112 cases)
	16. sixteen (175 cases)
	17. seventeen (214 cases)
	 0. no household members under 18 (2473 cases)


B3107 	NUMBER OF CHILDREN OF RESPONDENT/SPOUSE NOT LIVING WITH THEM.
	Indicates the number of children of either the respondent or
        spouse not living in the household (thus not included in
        totals above).  This should include children of previous
        marriages living with former spouses or older children in
        college or on their own.  No persons listed on the interviewer
        coding sheet (see B3125 - B3154) are included here.  No
        missing values. 

	 1. one (565 cases)
	 2. two (628 cases)
	 3. three (421 cases)
	 4. four (257 cases)
	 5. five (121 cases)
	 6. six (73 cases)
	 7. seven (34 cases)
	 8. eight (17 cases)
	 9. nine (13 cases)
	10. ten (5 cases)
	11. eleven (5 cases)
	12. twelve (4 cases)
	13. thirteen (1 case)
	16. sixteen (1 case)
	17. seventeen (1 case)
	 0. none (1957 cases)

	question: R63/R63a

B3108 	TOTAL NUMBER OF CHILDREN OF RESPONDENT AND/OR SPOUSE.
	The total number of living children of respondent and/or
        spouse including those not living in the household (B3107 plus
        children of respondent and/or spouse included in B3104).  No
        missing values. 

	 1. one (633 cases)
	 2. two (1071 cases)
	 3. three (672 cases)
	 4. four (418 cases)
	 5. five (233 cases)
	 6. six (117 cases)
	 7. seven (69 cases)
	 8. eight (45 cases)
	 9. nine (22 cases)
	10. ten (15 cases)
	11. eleven (10 cases)
	12. twelve (4 cases)
	13. thirteen (4 cases)
	14. fourteen (2 case)
	17. seventeen (2 case)
		0. none (786 cases)

B3109 	HOUSEHOLD UNIT COMPOSITION CODE.
	Type of household unit.  Describes residents of the household
        unit or dwelling. 

	1. nuclear family -- single persons living by themselves or
           only with spouse and/or children (3634 cases)
	2. extended family -- nuclear family plus other related
           persons living in the household (brother, parent, etc.) (296 cases)
	3. unrelated persons only -- household dwelling includes only
           respondent plus other unrelated individuals (roommates
           etc.) These individuals would be termed unrelated
           individuals or residents of group quarters by the Census
           Bureau (133 cases) 
	4. nuclear family plus -- household dwelling includes nuclear
           family (respondent plus spouse and/or children) plus at
           least one unrelated individual (a Census defined unrelated
           subfamily, formerly called a secondary family, or an
           unrelated individual) (31 cases) 
	5. extended family plus -- household dwelling includes
           extended family (respondent plus other relatives) plus at
           least one unrelated individual (a Census defined unrelated
           subfamily or unrelated individual) (9 cases) 


                         Household Characteristics

B4503 	AGE OF HEAD BY DATE OF BIRTH.
	The head is the respondent for single persons and the husband
        for married couples.  No missing values.

	xx. years (15-98)


B3110 	AGE OF HEAD BY DATE OF BIRTH -- RECODE.
	A recode of B4503.

	1. under 25 (295 cases)
	2. 25-34 (862 cases)
	3. 35-44 (777 cases)
	4. 45-54 (680 cases)
	5. 55-64 (673 cases)
	6. 65-74 (527 cases)
	7. 75 and over (289 cases)


B3126 	SEX OF HEAD.
	The head is the respondent for single persons and the husband
        for married couples.  No missing values.

	1. male (3135 cases)
	2. female (968 cases)


B3111 	RACE OF HOUSEHOLD.
	Variable is the observed race of the survey respondent.  All
        missing values were imputed using census data and other sources.

	1. caucasion except hispanic (3468 cases)
	2. black except hispanic (478 cases)
	3. hispanic (111 cases)
	4. American indian or Alaskan native (9 cases)
	5. Asian or pacific islander (37 cases)

	question: X3


B3112 	MARITAL STATUS OF RESPONDENT.
	No missing values (no imputations were needed).

	1. married (includes common-law marriage or couples living
           together as "partners") (2635 cases)
	2. separated (144 cases)
	3. divorced (431 cases)
	4. widowed (442 cases)
	5. never married (451 cases)

	question: R59


B3113 	EDUCATION OF HEAD -- RECODE.
	A recode of B4505 through B4507.  The head is the respondent
        for single persons and the husband for married couples.

	1. 0-8 grades (560 cases)
	2. 9-12 grades, no high school diploma (511 cases)
	3. high school diploma or equivalent, no college (1201 cases)
	4. some college, no college degree (678 cases)
	5. college degree (1153 cases)


B3114 	OCCUPATION OF HEAD -- RECODE.
	Recode of current job if working, or previous job if retired,
        disabled, or unemployed.  The head is the respondent for
        single persons and the husband for married couples.

	1. professional, technical, and kindred workers (640 cases)
	2. managers and administrators (except farm) (642 cases)
	3. self-employed managers (234 cases)
	4. sales, clerical, and kindred workers (518 cases)
	5. craftsmen, protective service, and kindred workers (675 cases)
	6. operatives, laborers, and service workers (1167 cases)
	7. farmers and farm managers (92 cases)
	8. miscellaneous (members of armed services, housewives,
           students, never worked, and other occupations) (135 cases)


B3115 	LABOR FORCE PARTICIPATION -- RECODE

	1. single household, not in labor force (635 cases)
	2. single household, in labor force (833 cases)
	3. respondent and spouse household, neither in labor force (389 cases)
	4. respondent and spouse household, one in labor force (1077 cases)
	5. respondent and spouse household, both in labor force (1169 cases)


B3116 	LIFE-CYCLE STAGE OF HOUSEHOLD.
	The head is the respondent for single persons and the husband
        for married couples.  No missing values.

	1. neither respondent or spouse 65 or over, with some relative
           of respondent or spouse, over age 18, living in household,
           but no relatives under 18 (1040 cases)
	2. neither respondent or spouse 65 or over, no other relatives
           living in household (623 cases)
	3. either respondent or spouse 65 or over, with some relative
           of respondent or spouse, over age 18, living in household,
           but no relatives under 18 (495 cases)
	4. either respondent or spouse 65 or over, no other relatives
           living in household (315 cases)
	5. head married, relatives 18 or under living in household (1238 cases)
	6. female-headed household (must be single), relatives 18 or
           under living in the household, but no relative over 18 (270 cases)
	7. unmarried head, relatives 18 or under in the household, and
           either male-headed or female-headed with other relatives
           over 18 present (122 cases) 


B3201 	TOTAL 1982 HOUSEHOLD INCOME.
	Total reported income.  No missing values.

	xxxxxxx. dollars (-24,062 to 3,425,887)


B3203 	TOTAL 1982 HOUSEHOLD INCOME -- RECODED.
	A recode of B3201.

	 1. less than $5,000 (351 cases)
	 2. $5,000-7,499 (298 cases)
	 3. $7,500-9,999 (263 cases)
	 4. $10,000-14,999 (525 cases)
	 5. $15,000-19,999 (457 cases)
	 6. $20,000-24,999 (385 cases)
	 7. $25,000-29,999 (326 cases)
	 8. $30,000-39,999 (462 cases)
	 9. $40,000-49,999 (255 cases)
	10. $50,000 and more (781 cases)


                            Geographic Location

B3117 	REGION OF THE COUNTRY.
	Not given for the high-income sample.

	1. northeast (Maine, Massachusetts, Connecticut, New York, New Jersey,
           Pennsylvania) (737 cases)
	2. north central (Ohio, Indiana, Illinois, Michigan,
           Wisconsin, Minnesota, Missouri, Nebraska, Iowa, South
           Dakota) (1016 cases) 
	3. south (Virginia, North Carolina, South Carolina, Georgia,
           Florida, Alabama, Mississippi, Louisiana, Arkansas,
           Tennessee, Texas, Oklahoma, Kentucky, Maryland, District of
           Columbia, West Virginia) (1289 cases) 
	4. west (Colorado, Utah, Arizona, California, Oregon,
           Washington) (623 cases) 
	0. high-income sample (438 cases)


B3118 	BELT CODE.
	This variable was coded according to the 1970 Census with
        additions from census population reports.  It was used for the
        1980 post-stratification weight (B3003). Not given for the
        high-income sample. 

	1. central cities of the two Standard Consolidated Areas
           (SCA's) plus the ten largest SMSA's  -- New York, Los
           Angeles, Chicago, Philadelphia, Boston, Washington,
           Baltimore, Detroit, San Francisco, St Louis, Cleveland, 
           Pittsburgh.  These are the self-representing PSUs (316 cases)
	2. central cities of other SMSA's (648 cases)
	3. suburbs of the two SCA's or ten largest SMSA's.  Suburbs
           are defined as all urbanized areas within the SMSA
           exclusive of the central city plus the remainder of any
           county containing a central city or part of a central city 
           (516 cases)
	4. suburbs of other SMSA's (714 cases)
	5. adjacent areas.  An adjacent area includes all territory
           beyond the outer boundary of the suburban belt, but within
           fifty miles of the central business district of a central
           city.  This can still be in the SMSA (844 cases)
	6. outlying areas.  An outlying area includes all territory
           more than fifty miles from the central business district of
           a central city.  This can still be in the SMSA (627 cases)
	0. high-income sample (438 cases)


B3119 	1970 SMSA CODE.
	This variable was coded according to SMSA territorial
        definitions defined as of 1970 (although the population cutoff
        was made using 1983 population figures).  This variable was
        used for the 1983 post-stratification weights (B3004).  Not 
        given for the high-income sample.

	1. central cities of SMSAs with more than 1,000,000 population
           in 1983 (488 cases)
	2. central cities of SMSAs with less than 1,000,000 population
           in 1983 (476 cases)
	3. other, non-central city, areas within SMSAs with more than
           1,000,000 population in 1983 (648 cases)
	4. other, non-central city, areas within SMSAs with less than
           1,000,000 population in 1983 (743 cases)
	5. areas not in an SMSA  (1310 cases)
	0. high-income sample (438 cases)


B3120 	1983 SMSA CODE.
	This variable was coded according to SMSA territorial
        definitions as of March 1983.  Not given for the high-income sample.

	1. central cities of SMSAs with more than 1,000,000 population
           in 1983 (494 cases)
	2. central cities of SMSAs with less than 1,000,000 population
           in 1983 (548 cases)
	3. other, non-central city, areas within SMSAs with more than
           1,000,000 population in 1983 (642 cases)
	4. other, non-central city, areas within SMSAs with less than
           1,000,000 population in 1983 (850 cases)
	5. areas not in an SMSA  (1131 cases)
	0. high-income sample (438 cases)


B3121 	STATE.
	Observations from only 37 states (plus D.C.) are included in
        the survey.  This code is given to help facilitate data
        matches.  The individual state data, however, are not
        representative and should not be used to represent the state.
        The SCF was designed to be representative for a unit no
        smaller the four census regions of the country subdivided into
        urban and rural.  Use of individual state data, therefore, may
        lead to very misleading results.  Some states, for example,
        are represented only by rural sampling units, and others by
        only urban sampling units.  The code given is the same as the
        census FIPS code.  Derived from actual location of sample
	address.  Not given for the high-income sample.

	 1. Alabama (35 cases)
	 4. Arizona (39 cases)
	 5. Arkansas (166 cases)
	 6. California (325 cases)
	 8. Colorado (46 cases)
	 9. Connecticut (66 cases)
	11. District of Columbia (6 cases)
	12. Florida (152 cases)
	13. Georgia (109 cases)
	17. Illinois (194 cases)
	18. Indiana (50 cases)
	19. Iowa (87 cases)
	21. Kentucky (79 cases)
	22. Louisiana (82 cases)
	23. Maine (33 cases)
	24. Maryland (38 cases)
	25. Massachusetts (101 cases)
	26. Michigan (169 cases)
	27. Minnesota (59 cases)
	28. Mississippi (46 cases)
	29. Missouri (98 cases)
	31. Nebraska (47 cases)
	34. New Jersey (131 cases)
	36. New York (213 cases)
	37. North Carolina (159 cases)
	39. Ohio (214 cases)
	40. Oklahoma (55 cases)
	41. Oregon (71 cases)
	42. Pennsylvania (193 cases)
	45. South Carolina (76 cases)
	46. South Dakota (63 cases)
	47. Tennessee (66 cases)
	48. Texas (107 cases)
	49. Utah (66 cases)
	51. Virginia (70 cases)
	53. Washington (76 cases)
	54. West Virginia (43 cases)
	55. Wisconsin (35 cases)
	 0. high-income sample (438 cases)


                                Respondent

B3122 	SURVEY RESPONDENT.
	This is the individual with whom the survey was conducted
        (though others may have been present at the interview and also
        supplied answers).  For dwelling units with multiple
        individuals the selection of the survey respondent followed
        the procedures described in the summary.  Briefly, the interviewer
        determined the "economically dominant" household member.  This
        was the person that owned or rented the home, or provided the
        most income.  Economic dominance was sometimes difficult to
        determine, but generally implied the main breadwinner or the
        most economically active.  In the case of ties, the household
        member closest to age 45 was selected.  The family of the
        economically dominant individual (all household members
        related to them by blood, marriage, or adoption) was the
        survey unit (primary family).  The survey respondent was the
        economically dominant individual or their spouse, whichever
        was determined to be the "most knowledgeable about family
        finances".  The variable coded here indicates whether the head
        (husband, if married) or spouse (wife) was the actual respondent.

	1. head (3040 cases)
	2. spouse (1063 cases)


B3123 	SEX OF RESPONDENT

	1. male (2072 cases)
	2. female (2031 cases)

	question: X1


                      Household Unit (Dwelling) Residents

B3124 	TOTAL NUMBER OF PERSONS LIVING IN THE HOUSEHOLD
	UNIT/DWELLING.
	This includes all persons in the primary family, plus any
        other unrelated non-family household members who share the
        same dwelling unit.  Persons listed here thus correspond to
        members of what the Census Bureau refers to as the household
        (or group quarters) and SRC calls residents of the household unit.
        Individuals are included as residents of the household unit if:
        (1) it wa their usual and only place of residence (even if
        absent at the time of the interview); or (2), he/she was
        physically living in the household unit at the time of the
        interview and a place of residence was maintained for them there (thus
        he/she could have other residences).  A listing of the individuals
        living in the household unit is given in the variables (B3125
        - B3154).  Information is available for each individual on
        their age, sex, membership in the survey household, and
        relationship to the head (husband, if married) of the primary family.

	 1. one (805 cases)
	 2. two (1360 cases)
	 3. three (738 cases)
	 4. four (697 cases)
	 5. five (313 cases)
	 6. six (118 cases)
	 7. seven (39 cases)
	 8. eight (23 cases)
	 9. nine (7 cases)
	11. eleven (2 cases)
	13. thirteen (1 case)


B3125 (#1) 	INDIVIDUAL'S RELATIONSHIP TO HOUSEHOLD HEAD.
B3128 (#2) 	Unrelated individuals (codes 31-39) are not included in the
B3131 (#3) 	primary family (survey household).  Characteristics of up
B3134 (#4) 	to ten individuals in the household unit are given, with
B3137 (#5) 	information as recorded on the interviewer coding sheet.  No
B3140 (#6)	missing values.
B3143 (#7)
B3146 (#8)	1. head (husband, if married) (always in position #1)
B3149 (#9)	   (4103/0/0/0/0/0/0/0/0/0 cases)
B3152 (#10) 	2. spouse (wife) (always in position #2, if applicable) 
                   (0/2555/0/0/0/0/0/0/0/0 cases)
  		3. "partner" or "common-law spouse" (wife) (always in 
	           position #2, if applicable.  This is treated as a
                   married spouse in answering throughout the survey) 
		   (0/80/0/0/0/0/0/0/0/0 cases)
		4. child (and in-laws or step-children) 
	           (0/422/1787/1099/418/140/50/19/6/2 cases)
		5. grandchild (and in-laws or step-grandchildren) 
                   (0/11/27/31/28/17/10/7/3/1 cases)
		6. parent (and in-laws or step-parents) 
                   (0/40/39/17/15/10/2/3/0/0 cases)
		7. grandparent (and in-laws or step-grandparents) 
                   (0/4/1/2/0/0/0/0/0/0 cases)
		8. aunt/uncle (and in-laws or step-) 
                   (0/1/1/0/0/0/0/0/0/0 cases)
		9. cousin (and in-laws or step-) 
	           (0/3/2/2/1/0/0/0/0/0 cases)
	       10. niece/nephew (and in-laws or step-) 
                   (0/6/9/9/7/4/1/0/0/0 cases)
	       11. brother/sister (and in-laws or step-) 
                   (0/41/24/14/24/14/8/2/1/0 cases)
	       12. great-grandchildren (and in-laws or step-) 
	           (0/1/2/2/0/0/0/0/0/0 cases)
	       29. other relative (card given) 
                   (0/1/1/0/0/1/0/0/0/0 cases)
	       31. roommate -- not included in survey household 
                   (0/95/23/4/1/1/0/0/0/0 cases)
	       32. friend -- not included in survey household 
                   (0/17/7/8/1/0/0/1/0/0 cases)
	       34. roomer/lodger/boarder -- not included in survey household
                   (0/13/8/4/5/3/1/1/0/0 cases)
	       35. live-in help, maid -- not included in survey
                   household (0/3/6/6/2/0/0/0/0/0 cases)
	       39. other unrelated persons -- not included in survey household
                   (0/5/1/2/1/0/0/0/0/0 cases)
		0. INAP, not that many persons in household unit
                   (0/805/2165/2903/3600/3913/4031/4070/4093/4100 cases)

	question: X4


B3126 (#1) 	INDIVIDUAL'S SEX.
B3129 (#2)	Corresponds to individuals given above.  No missing values.
B3132 (#3)
B3135 (#4) 	1. male (3135/341/1007/628/273/105/39/16/6/1 cases)
B3138 (#5) 	2. female (968/2957/931/572/230/85/33/17/4/2 cases)
B3141 (#6) 	0. INAP (0/805/2165/2903/3600/3913/4031/4070/4093/4100
B3144 (#7)         cases)
B3147 (#8)
B3150 (#9)	question: X4
B3153 (#10)


B3127 (#1) 	INDIVIDUAL'S AGE.
B3130 (#2) 	This is the reported age at last birthday for the individuals
B3133 (#3) 	above as given by the interviewer code sheet.  It may differ
B3136 (#4) 	from the age as determined from date of birth information for
B3139 (#5) 	the head or spouse.  No missing values.  Imputations were done
B3142 (#6) 	using date of birth, job history, and education for head and
B3145 (#7) 	spouse.  Less than one year coded as 1.
B3148 (#8)
B3151 (#9)	xx. years (1 to 98)
B3154 (#10) 	0. INAP (0/805/2165/2903/3600/3913/4031/4070/4093/4100 cases)

	question: X4


                                         Survey Informant

B3155 	RELATIONSHIP OF SURVEY RESPONDENT TO INFORMANT.
	The informant is the first person contacted for information
        about the household unit and from whom information was
        solicited in order to determine who should be the survey respondent.

	1. respondent is informant (3490 cases)
	2. respondent is spouse or "partner" of informant (384 cases)
	3. respondent is the child of the informant (25 cases)
	4. respondent is the parent of the informant (78 cases)
	5. respondent is the sibling of the informant (12 cases)
	6. respondent is the grandparent of the informant (2 cases)
	7. respondent is the roommate of the informant (24 cases)
	8. respondent is unrelated to the informant (4 cases)
	9. other relationship (3 cases)
	9. NA (81 cases)


                                Interview Characteristics and Time

B3156 	MONTH OF THE INTERVIEW.
	All interviews took place between February and August 1983.  
        No missing values.

	2. February 1983 (458 cases)
	3. March 1983 (1544 cases)
	4. April 1983 (944 cases)
	5. May 1983 (541 cases)
	6. June 1983 (469 cases)
	7. July 1983 (145 cases)
	8. August 1983 (2 cases)


B3157 	DAY OF THE INTERVIEW.
	Day of the month (when interview started if done at different
        times).   No missing values.

	xx. day (1 to 31)


B3158 	UNDERSTANDING.
	The interviewer's assessment of the survey respondent's
        understanding of the survey questions.

	1. excellent (1449 cases)
	2. good (1878 cases)
	3. fair (620 cases)
	4. poor (126 cases)
	9. NA (30 cases)

	question: X6


B3159 	EXPRESSION.
	The interviewer's assessment of the survey respondent's
        ability to express themselves.

	1. excellent (1319 cases)
	2. good (1994 cases)
	3. fair (651 cases)
	4. poor (109 cases)
       -9. NA (30 cases)

	question: X7


B3160 	SUSPICION EX-ANTE.
	The interviewer's assessment as to whether or not the
	respondent was suspicious before the interview.

	1. not suspicious at all (2862 cases)
	3. somewhat suspicious (997 cases)
	5. very suspicious (203 cases)
       -9. NA (41 cases)

	question: X8


B3161 	SUSPICION EX-POST.
	The interviewer's assessment as to whether or not the 
	respondent was suspicious after the interview.

	1. not suspicious at all (3203 cases)
	3. somewhat suspicious (750 cases)
	5. very suspicious (114 cases)
       -9. NA (36 cases)

	question: X9


B3162 	INTEREST.
	The interviewer's assessment of the respondent's interest 
	in the interview.

	1. very high interest (509 cases)
	2. above average interest (1437 cases)
	3. average interest (1671 cases)
	4. below average interest (365 cases)
	5. very low interest (90 cases)
       -9. NA (31 cases)

	question: X10


B3163 (1st) 	OTHERS PRESENT.
B3164 (2nd) 	If other persons were present at the interview 
	        (besides the respondent), he/she is coded here.  
		Up to two mentions of the kind of individuals present 
		are allowed.

		1. only respondent (2067/0 cases)
		2. children under six (264/207 cases)
		3. older children (283/195 cases)
		4. spouse (1012/69 cases)
		5. other relatives (146/20 cases)
		6. other adults (265/0 cases)
	       -9. NA (66/2 cases)
		0. INAP no second mention (0/3610 cases)


		       Documents Used

		(A) Loan questions
		(B) Checking, savings, or investment questions
		(C) Pension questions
		(D) Income tax returns


B3165 	ANY DOCUMENTS USED?
	Interviewer's indication as to whether or not the respondent 
	referred to documents in answering questions.

	1. frequently referred to documents (178 cases)
	3. sometimes referred to documents (489 cases)
	4. rarely referred to documents (622 cases)
	5. never referred to documents (2768 cases)
       -9. NA (46 cases)

	question: X12


B3166 (A) 	SPECIFIC TYPES OF DOCUMENTS.
B3167 (B) 	Interviewer's indication of when respondent used documents.
B3168 (C) 	For loans, financial assets, pensions, or income tax data,
B3169 (D) 	information is given as to whether or not respondent 
		used documents.  This information is given only if the
                interviewer indicates that respondent frequently,
		sometimes, or rarely used documents (B3165 coded 1, 3, or 4).

		1. documents used for those questions 
		   (338/410/242/437 cases)
		5. documents not used for those questions
                   (945/873/1041/846 cases) 
	       -9. NA (6/6/6/6 cases)
		0. INAP documents never used (or NA whether ever use
                   documents) (2814/2814/2814/2814 cases)

		question: X13


                             Recontact Information

B3170 (H) 	SOCIAL SECURITY NUMBER GIVEN.
B3171 (S) 	Interviewers asked repondent to give their (and their
                spouse's) Social Security number "in order that SRC be
                able to obtain the latest information about the
                retirement benefits that you (or your spouse) and
                others like you are likely to receive."  This variable
                indicates whether the number was given. 

		1. Social Security number given (3095/1801 cases)
		5. Social Security number not given -- refused or no
                   number or unknown to respondent (1008/834 cases)
		0. INAP, no spouse (0/1468 cases)


B3172	RECONTACT INFORMATION GIVEN.
	This variable indicates the recontact information given by the
        respondent to the interviewer.  Respondents were asked to
        verify their address and give a phone number to use in the
        event that SRC needed to verify the interview.  This variable
        was used in determining eligibility for the 1986 Survey of Consumer
        Finances. 

	1. mailing address and phone information given (3625 cases)
	2. mailing address given, refused to give phone number (147 cases)
	3. mailing address given, do not have a phone (255 cases)
	4. mailing address refused, phone given (10 cases)
	5. mailing address and phone refused (64 cases)
	6. mailing address refused, do not have phone (2 cases)

                           HOUSEHOLD INCOME

     Missing data on income was one of the most serious imputation
problems for the survey (about 13% were missing total income).
Imputations for the Income Section were done in a number of different
ways.  General procedures were as follows.  If only total income was
missing it was imputed as the sum of the parts.  If only one part of
income was missing, but the total was reported, the part was
calculated as the difference.  In all other cases the individual parts
of income were imputed (where missing), and total income imputed as
the sum.  If both asset values relevant for income imputation and
income components were missing they were imputed simultaneously using
an iterative procedure.  This technique builds maximum likelihood
estimates of the covariance matrix of the set of imputed variables
under the assumption that they are jointly normal and missing randomly
conditional on the other variables.  Actual imputations follow from
the conditional expectation of the missing variable (computed from the
estimated covariance matrix) and a randomized error.  More specifics
on the information used in computing the imputations is given below.
All high-income sample imputations were done separately. 


                   1982 Gross (Pre-tax) Income Totals

B3201 	TOTAL 1982 GROSS (PRE-TAX) HOUSEHOLD INCOME.
	This variable is the reported total household income.  It will
        differ from the sum of the components of income (B3202) if
        answered that way by respondents.  However, if the sum total
        differed from the reported total by less than $300 the total
        was set equal to the sum.  All missing values were imputed.
        Imputations by the procedures described above.

	xxxxxxx. dollars (-24,062 to 3,425,887)

	question: T3


B3202 	SUM OF 1982 HOUSEHOLD INCOME COMPONENTS.
  	This variable is the sum of all the components of income
        listed below (B3205 + B3206 + B3207 + B3208 + B3209 + B3210 +
        B3211 + B3212 + B3213 + B3214 + B3215 + B3216).  It can differ
        from the total provided by the household (B3201) as explained
        above.  All missing values were imputed. 

	xxxxxxx. dollars (-24,062 to 3,396,354)
	      0.  zero (1 case)


B3203 	CODED VARIABLE FOR 1982 HOUSEHOLD INCOME.
  	This variable is computed from total 1982 household income (B3201).

	 1. less than $5,000 (351 cases)
	 2. $5,000-7,499 (298 cases)
	 3. $7,500-9,999 (263 cases)
	 4. $10,000-14,999 (525 cases)
	 5. $15,000-19,999 (457 cases)
	 6. $20,000-24,999 (385 cases)
	 7. $25,000-29,999 (326 cases)
	 8. $30,000-39,999 (462 cases)
	 9. $40,000-49,999 (255 cases)
	10. $50,000 and more (781 cases)


B3204 	CODED VARIABLE FOR HOUSEHOLD INCOME BY DECILES.
	This variable is computed from total 1982 household income
        (B3201).  Each category represents 10% of the weighted (by
        B3016) survey households.  The cleaned sample composite weight
        was used.  The weighted median income was $19,523.  The 2% lower 
        and upper bounds were $2,615 and $99,000; and the 1% upper and
        lower bounds were $1,603 and $142,000.

	 1. less than $5,219 (387 cases)
	 2. $5,219-8,557 (375 cases)
	 3. $8,558-12,000 (376 cases)
	 4. $12,001-15,437 (360 cases)
	 5. $15,438-19,523 (371 cases)
	 6. $19,524-24,000 (367 cases)
	 7. $24,001-29,800 (364 cases)
	 8. $29,801-37,100 (373 cases)
	 9. $37,101-49,984 (349 cases)
	10. $49,985 and more (781 cases)


                       Individual Income Components

B3205 	INCOME IN WAGES AND SALARY.
	All missing values were imputed.  This variables was the major
        imputed income component.  Where possible this variable was
        imputed by head and spouse annual wages reported in the Job
        Section deflated to 1982 dollars.  If wage data were missing
        (or of the previous job if there was a job change in 1982) the
        wage data was first imputed, then used for the income
        imputation.  Wage imputations were accomplished by matching
        the March 1983 Bureau of the Census Current Population Survey
        average log-wages for persons of the same sex, race, age, and
        3-digit occupation and adding a random error term.
        Imputations were done on a per-wage hour basis and adjusted
        for hours per week and weeks per year.  If multiple job
        information was available for an individual, it was used in the
        imputation random term as part of a "random effect" designed
        to have the same intra-person correlation as the portion of
        the sample with complete information.  For some self-employed
        persons, wage data were moved to the business income component 
        (B3206).  The high-income sample imputations did not use the
        CPS match.  Instead the high-income sample itself was used to
        match by occupation and age with randomization.

	xxxxxxx. dollars (42 to 1,000,000)
	      0. none (1129 cases)

	question: T1a,T2a


B3206 	INCOME FROM A PROFESSIONAL PRACTICE, BUSINESS, OR FARM.
	All missing values were imputed.  Imputed from the Business
        Section reported income when available or wage income reported
        in the Job Section for self employed persons.  If wage income
        was missing for self employed persons, it was imputed first
        using the above procedure.  In a few cases, the value of the
        business variables were computed first, and an income yield
        estimated from a log-regression.  For some self-employed
        persons some or all wage/salary income was moved to business
        component.  The high-income imputations were done separately. 

	xxxxxxx. dollars (-849,200 to 874,999)
	     -4. small loss (4 cases)
	      0. none (3337 cases)

	question: T1b,T2b


B3207 	INCOME FROM NON-TAXABLE INVESTMENTS SUCH AS IRAS
	OR MUNICIPALS
	All missing values were imputed.  If asset values were
        available, income was computed assuming yields equivalent to
        average 1982 yields as reported from various sources.  These
        were a yield of 12.204% on IRAs or Keoghs (calculated from 
        the Federal Reserve Bank Functional cost analysis file); 7.77%
        for all-saver certificates ( 70% of the average one year
        t-bill rate as given in the Federal Reserve Bulletin); 6.86%
        for tax-free mutual funds (average tax-free mutual fund yields
        as reported in Donahues); and 11.66% for state and local municipal
        bonds (Buyer bond index average yield as reported in the
        Federal Reserve Bulletin).  This component was imputed jointly
        with assets in some cases using the method described
        previously.  Some reported values were adjusted as some respondents
        gave the entire value of their IRAs as tax-free income
        (because it was sheltered). 

	xxxxxx. dollars (10 to 550,000)
	     0. none (3595 cases)

	question: T1c,T2c

B3208 	TAXABLE INTEREST INCOME.
	All missing values were imputed.  If asset values were
        available, income was computed assuming yields equivalent to
        average 1982 yields as reported from various sources.  These
        were a yield of zero on regular checking; 2.337% on NOW,
        sweep, or SUPER NOW (assumed to be regular NOWs in 1982 since they
        were not available until January 1983) accounts (calculated
        from the Federal Reserve Functional Cost analysis file);
        11.084% on short-term CDs (average 6 month t-bill rate as
        reported in the Federal Reserve Bulletin); 12.277% on other CDs 
        (calculated from the Federal Reserve Functional cost analysis
        file); 6% for savings bonds (the 1977 face rate assumed to be
        the average of existing bonds); 5.25% for regular savings
        accounts (the Regulation Q interest ceiling at commercial
        banks, 5.5% was used for those at S&Ls); 12.23% for money market
        mutual funds or Broker call money (average taxable money
        market yields as reported in Donahues); 12.92% for federal
        bonds (the average 3 year bond rate as reported in the Federal
        Reserve Bulletin); 14.94% for corporate or other bonds (average as 
        reported in the Federal Reserve Bulletin); and 10% on notes
        owed by individuals.  Some of the amounts may overstate the
        tax-form income as they represent accrual income rather than
        cash income.  Bond yields in particular may be over stated as 
        asset values were listed at face value.  Interest income was
        imputed jointly with assets in some cases using the method
        described previously. 

	xxxxxx. dollars (3 to 936,076)
	     0. none (2103 cases)

	question: T1d,T2d


B3209 	DIVIDEND INCOME.
	All missing values were imputed.  If stock values were
        available, income was imputed assuming a yield equivalent to
        the average Standard and Poors 500 dividend rate of 5.81% in
        1982.  Because of appreciation of average stock values between 
        1982 and the survey date in 1983, current stock values were
        first deflated to their estimated 1982 values before computing
        the income yield.  This implied an actual yield of only 4.98%
        on current value.  Dividend income was imputed jointly with
        assets in some cases using the method described previously. 

	xxxxxxx. dollars (3 to 1,000,000)
	      0. none (3183 cases)

	question: T1e,T2e


B3210 	NET GAINS FROM THE SALE OF STOCKS/BONDS OR REAL ESTATE.
  	All missing values were imputed.  If stock values were
        available and the respondent reported a stock transaction in 1982,
        capital gains were imputed using the average 1982 appreciation of the
        Standard and Poors 500 in 1982 (15.8%). Current stock values
        were deflated back to 1982 values using the same method as
        with dividends before calculating the yield.  Capital gain income was
        imputed jointly with assets in some cases using the method 
        described previously.

	xxxxxxx. dollars (-45,000 to 3,000,000)
	      0. none (3698 cases)

	question: T1f,T2f


B3211 	RENT, TRUST INCOME, OR ROYALTIES FROM ANOTHER
	INVESTMENT.
	All missing values were imputed.  Trust income was imputed
        from the value of the trust if given (otherwise it was imputed jointly
	with trust assets using the method described above).  Trust yield was
	estimated using the component structure of the average bank 1982 trust
	assets as given in the FDIC annual report (22.9% stocks, 10.3% real
	estate, 11.6% municipal obligations, 9.8% interest bearing deposits, 
	30.1% U.S.government and other short term obligations, and 5.%
	non-interest bearing and other).  Each component was assumed to have a
	yield as discussed previously implying an aggregate trust yield of
	8.98%.  Trust assets were deflated to 1982 assuming a year-to-year
	appreciation of 12.64% (derived from the stock capital gain) before
	computing the yield.  Land rents were imputed from a within sample
	regression of percent yield given the type and value of property. 
	Some property values were imputed jointly with rents.

	xxxxxxx. dollars (-500,000 to 2,500,000)
	      0. none (3525 cases)

	question: T1g,T2g


B3212 	WORKERS OR UNEMPLOYMENT COMPENSATION INCOME.
	All missing values were imputed.  Imputations were done with
        employment history variables.  The amount of time each
        household was out of work in 1982 was estimated using dates of
        employment.  Unemployment compensation was then calculated
        using the actual formula of the household's state given previous wages
        and time on the job.

	xxxxx. dollars (50 to 25,000)
	    0. none (3711 cases)

	question: T1h,T2h


B3213 	CHILD SUPPORT, ALIMONY, INHERITANCE, GIFTS, FINANCIAL
	SUPPORT.
	All missing values were imputed.  Imputations were done using
        a log-value regression with a random term added.  The high-income
        sample imputations were done separately.

	xxxxxx. dollars (40 to 250,000)
	     0. none (3686 cases)

	question: T1j,T2j


B3214 	ADC, AFDC, FOOD STAMPS, SSI, WELFARE, OTHER PUBLIC
	ASSISTANCE
	All missing values were imputed.  Imputations were done using
        a log-value regression with a random term added.  Account was
        taken in the regression of the family composition and state of
        residence.  In some cases values were moved between this 
	component and the pension component below if deemed appropriate.

	xxxxx. dollars (25 to 13,750)
	    0. none (3701 cases)

	question: T1k,T2k


B3215 	RETIREMENT, ANNUITY, PENSION, DISABILITY, SURVIVOR
	BENEFITS.
	All missing values were imputed.  Imputations summed from the
        specific sources (social security and private pension income
	listed for head and spouse in the Employment Section).  If
	these were missing, they were imputed first using a log- value
        regression with a random term added.  If no specific sources were
        listed, a separate log-value imputation regression for the
        total pension (usually for a non- head/non-spouse household member)
        was used.  In some cases values were moved between this
        component and the public assistance component (B3214) if
        deemed appropriate.  The high-income imputations were done separately.

	xxxxxx. dollars (134 to 200,000)
	     0. none (2925 cases)

	question: T1m,T2m


B3216 	OTHER INCOME.
  	All missing values were imputed.  Imputations were done using
        a log-value regression using type of other income with a random term
        added.  The high-income imputations were done separately.

	xxxxx. dollars (45 to 50,000)
	    0. none (4024 cases)

	question: T1n,T2n


B3217 (1st) 	SOURCES OF OTHER INCOME.
B3218 (2nd) 	First and second sources listed for B3216.

		1. settlements from lawsuits, divorce, insurance (8/0 cases)
		2. gambling winnings (5/0 cases)
		3. educational scholarships or grants, GI bill,
                   fellowship (9/1 cases)
		4. other source (14/1 cases)
	       -9. NA (43/0 cases)
		0. INAP, no other income or no second mention (4024/4101 cases)

	question: T1n

                                          Taxable Income

B3219 	ADJUSTED GROSS INCOME
  	This variable is the household's estimated adjusted gross
        income (AGI) as defined for tax purposes for 1982.  No missing values.

	xxxxxxx. income (3 to 2,899,800)
	      0. none (266 cases)


B3220 	EXTENDED INCOME USED FOR FRB WEIGHT.
  	This variable is the household's estimated adjusted gross
        income (AGI) plus full capital gains and dividend exclusion for 1982.
        It is a constructed estimate of the IRS's extended income.  This is
        the variable used to construct the extended income weight
        (B3012).  No missing values.

	xxxxxxx. income (3 to 3,172,997)
	      0. none (229 cases)

                            Outlays

B3221 	ALIMONY, CHILD SUPPORT, OR OTHER FINANCIAL ASSISTANCE
	PAID.
	This variable is the amount of alimony, child support, or
        other financial support paid to relatives or friends outside
        the household by a member of the household in 1982.  All
        missing values were imputed.  Imputations were done using a 
        log-value regression.  Imputations for the high-income sample 
        were done separately.

	xxxxxxx. dollars (25 to 6,000,000)
	      0. none (3493 cases)

	question: T4,T4a


                  HOUSEHOLD BALANCE SHEET TOTALS

                     Individual Asset Totals

B3708 	CURRENT VALUE OF HOME.
	The total gross value of primary residence if owned by
        household or buying on a land contract.  No missing values.

	xxxxxxx. dollars (3 to 5,000,000)
	      0. INAP, do not own residence (1342 cases)


B3801 	AGGREGATE GROSS VALUE OF OTHER PROPERTIES.
	The total gross value of properties listed in the Other
        Property Section.  No missing values.

	xxxxxxxx. dollars (100 to 50,000,000)
	       0. none (3140 cases)


B3401 	TOTAL DOLLAR AMOUNT IN UNRESTRICTED CHECKING
	ACCOUNTS.
	The total balance in checking accounts (no money market
        funds).  No missing values.

	xxxxxxx. dollars (4 to 1,005,200)
	      0. none (806 cases)


B3418 	TOTAL DOLLAR AMOUNT IN ALL MONEY MARKET AND CALL
	ACCOUNTS.
	The total balance in money market funds and brokerage call
        accounts.  No missing values.

	xxxxxxx. dollars (8 to 4,100,000)
	      0. none (3284 cases)


B3434 	TOTAL DOLLAR AMOUNT IN ALL SAVINGS OR SHARE ACCOUNTS.
	The total balance in savings accounts or credit union share
        accounts.  No missing values.

	xxxxxx. dollars (4 to 957,672)
             0. none (1641 cases)


B3446 	TOTAL DOLLAR AMOUNT IN IRA OR KEOGH ACCOUNTS.
	The total balance in Individual Retirement Accounts (IRAs) or
	Keoghs.  No missing values.

	xxxxxxx. dollars (20 to 2,000,000)
	      0. none (3184 cases)


B3453 	TOTAL DOLLAR AMOUNT OF CERTIFICATES OF DEPOSIT.
	The sum of all Certificates of Deposit (CDs).  No missing values.

	xxxxxxx. dollars (100 to 3,000,000)
        0. none (3244 cases)


B3457 	TOTAL FACE AMOUNT OF U.S. GOVERNMENT SAVINGS BONDS.
	The total book value of U.S. Government savings bonds.  
	No missing values.

	xxxxxx. dollars (16 to 900,000)
	     0. none (3253 cases)


B3458 	TOTAL FACE AMOUNT OF BONDS.
	The total book value of all bonds except U.S. government
        savings bonds and bonds held in trusts, mutual funds, or unit 
	trusts.  No missing values.

	xxxxxxxx. dollars (11 to 15,000,000)
	       0. none (3747 cases)


B3462 	TOTAL DOLLAR AMOUNT OF STOCKS AND MUTUAL FUNDS.
	Includes all stock holdings except non-traded holdings of
        businesses and stock in trusts.  Also includes mutual fund
        holdings except for money market accounts.  No missing values.

        xxxxxxxx. dollars (23 to 53,150,000)
	       0. none (3030 cases)


B3470 	TOTAL DOLLAR AMOUNT IN TRUST ACCOUNTS.
	Includes all monies in trust or managed investment accounts
        not listed elsewhere.  Excludes pension or company thrift
        accounts.  No missing values.

	xxxxxxxx. dollars (20 to 35,000,000)
	       0. none (3846 cases)


B3475 	DOLLAR CASH VALUE OF WHOLE LIFE INSURANCE.
	The current cash value of all whole life policies excluding
	policies where a business is the beneficiary.  The value is
        net and excludes borrowings against the policy.  No missing values.

	xxxxxxx. dollars (2 to 3,000,000)
	     -6. none, have whole life insurance (294 cases)
	      0. none, no whole life insurance (2307 cases)


B3477 	TOTAL DOLLAR AMOUNT OF LOANS OWED TO HOUSEHOLD AND
	GAS LEASES.
	The sum of loans owed to household from friends or others and
	gas/oil leases.  No missing values.

	xxxxxxx. dollars (100 to 1,200,000)
	      0. none (4003 cases)


B3501 	NET VALUE OF BUSINESS WITH NO MANAGEMENT INTEREST.
	Excludes publicly traded stock holdings and properties 
	listed in the Other Properties Section.  No missing values.

	xxxxxxxx. dollars (100 to 15,000,000)
	      -6. worthless, but have non-management business (5 cases)
	       0. none, no business (3797 cases)


B3502 	TOTAL NET VALUE OF BUSINESS WITH A MANAGEMENT
	INTEREST.
	Excludes publicly traded stock holdings and properties listed
	in the Other Properties Section.  No missing values.

	xxxxxxxx. dollars (-4,000 to 74,000,000)
	      -6. worthless, but have management business (8 cases)
	       0. none (3432 cases)


B3601 	AGGREGATE GROSS VALUE OF LAND CONTRACTS AND NOTES.
	The total gross current value of land contracts or notes owed
	to household.  No  missing values.

	xxxxxxx. dollars (124 to 2,627,339)
	      0. none (3900 cases)


B3902 	TOTAL VALUE OF VEHICLES.
	The sum of values of vehicles listed in the Vehicle and Other
        Asset Sections, and inferred from outstanding loans.  No 
	missing values.

	xxxxxx. dollars (68 to 109,337)
	     0. none (594 cases)


                     Asset Summary Totals

B3301 	TOTAL DOLLAR AMOUNT OF LIQUID ASSETS.
	The sum of checking accounts, money market accounts, savings
        accounts, IRAs and Keoghs, CDs, and savings bonds owned by household
        (B3401 + B3418 + B3434 + B3446 + B3453 + B3457).  No missing values.

	xxxxxxx. dollars (4 to 4,188,500)
	      0. none (456 cases)


B3302 	TOTAL DOLLAR AMOUNT OF FINANCIAL ASSETS.
	The sum of liquid assets plus bonds, stock and mutual fund
        holdings, and trust accounts owned by household (B3301 + 
	B3458 + B3462 + B3470).  No missing values.

	xxxxxxxx. dollars (4 to 57,838,500)
	       0. none (450 cases)


B3303 	PAPER ASSETS.
	The sum of financial assets plus cash value of whole life
        insurance plus loans owed to household and gas leases plus
        gross value of land contracts plus thrift accounts (B3302 + 
	B3475 + B3477 + B3601 + B3306).  No missing values.

	xxxxxxxx. dollars (4 to 58,098,500)
	       0. none (401 cases)


B3304 	GROSS ASSETS EXCLUDING BUSINESS AND NON-THRIFT PENSIONS.
	The sum of paper assets plus current value of home plus gross
        value of other properties plus total value of vehicles (B3303
        + B3708 + B3801 + B3902).  No missing values.

	xxxxxxxx. dollars (5 to 58,799,957)
	       0. none (147 cases)


B3305 	GROSS ASSETS EXCLUDING NON-THRIFT PENSIONS.
	The sum of paper assets plus current value of home plus gross
        value of other properties plus total value of vehicles plus
        net value of businesses with and without management interest 
	(B3304 + B3501 + B3502).  No missing values.

	xxxxxxxx. dollars (5 to 86,857,433)
	       0. none (147 cases)


                  Pension Asset Summaries

B3306 	TOTAL THRIFT-TYPE PENSION ACCOUNT ASSETS.
	The sum of current withdrawable amounts in thrift-type
        accounts for head and spouse (B4947 + B5047).  No missing values.

	xxxxxxx. dollars (5 to 1,600,000)
	     -6. none withdrawable but have thrift account (44 cases)
	      0. none (3544 cases)


B3307 	NET PRESENT VALUE OF PENSIONS FROM PAST JOBS.
	The sum of the present value of past job pensions for head and
        spouse (B4968 + B4978 + B4988 + B5068 + B5078 + B5088).  
	No missing values.

	xxxxxx. dollars (42 to 933,586)
	     0. none (3307 cases)


B3308 	NET PRESENT VALUE OF PENSIONS FROM OTHER SOURCES.
	The sum of the present value of pensions (private or Social
	Security) determined to be currently received by the household but not
	attributable to the head or spouse Social Security, current
	job, or a reported past job.  No missing values.

	xxxxxx. dollars (1,887 to 1,015,270)
	     0. none (3745 cases)


B3309 	NET PRESENT VALUE OF PENSIONS FROM CURRENT JOBS.
	The sum of the gross present value of current job non-thrift
	benefits for head and spouse minus present value of wage
	contribution liabilities (B3310 - B3311). Expectations data
	used for calculations.  No missing data for households where 
	respondent or their spouse is over age 39.

	xxxxxx. dollars (-848280 to 826,957)
	    -9. not calculated (731 cases)
	     0. none (2444 cases)


B3310 	GROSS PRESENT VALUE OF PENSIONS FROM CURRENT JOBS.
	The sum of the gross present value of current job non-thrift
        benefits for head and spouse (B4918 + B5018).  Expectations
	data used for calculations.  No missing data for households 
	where respondent or their spouse is over age 39.

	xxxxxx. dollars (493 to 918,860)
	    -9. not calculated (803 cases)
             0. none (2372 cases)


B3311 	PRESENT VALUE OF PENSION LIABILITY FROM CURRENT JOBS.
	The sum of the gross present value of current job pension
	contributions for head and spouse (B4928 + B5028).  No missing
	data for households where respondent or their spouse is over age 39.

	xxxxxx. dollars (xx to xxxxxx)
	    -9. not calculated (803 cases)
             0. none (2372 cases)


B3312 	TOTAL DEFINED CONTRIBUTION ACCOUNT PENSION ASSETS.
	The total amount in defined contribution pension accounts of
        the current job of head or spouse which could be withdrawn if
	the employee left the firm (B4930 + B5030).  This total will
	also be included as part of the present value of current job 
	pensions (B3309).  No missing values.

	xxxxxx. dollars (10 to 2,000,000)
            -6. none withdrawable but have defined contribution
		account (103 cases)
	     0. none (3528 cases)


B3313 	GROSS PRESENT VALUE OF PRIVATE PENSION BENEFITS.
	The sum of the gross present value of pensions for current and
	past jobs of head and spouse, and pensions from other sources
	(B3307 + B3308 + B3309).  No missing data for households where
	respondent or their spouse is over age 39.

	xxxxxx. dollars (-xx to xxxxxx)
	    -9. not calculated (731 cases)
	     0. none (xxxx cases)


B3314 	NET PRESENT VALUE OF SOCIAL SECURITY BENEFITS/TAXES.
	The sum of the gross present value of Social Security benefits
	for head and spouse minus present value of wage contribution
	liabilities (B3315 - B3316).  Social Security formula and
	current receipts used for calculations.  No missing data for 
	households where respondent or their spouse is over age 39.

	xxxxxx. dollars (-76,692 to 695,402)
	    -9. not calculated (1368 cases)
	     0. none (398 cases)

B3315 	GROSS PRESENT VALUE OF SOCIAL SECURITY BENEFITS.
	The sum of the gross present value of Social Security benefits
	for head and spouse (B5120 + B5124 + B5220 + B5224).  Social
	Security formula and current receipts used for calculations.
	No missing data for households where respondent or their
	spouse is over age 39.

	xxxxxx. dollars (1,077 to 695,402)
	    -9. not calculated (1368 cases)
	     0. none (432 cases)


B3316 	PRESENT VALUE OF SOCIAL SECURITY TAX LIABILITY.
	The sum of the gross present value of future Social Security
	tax liabilities of head and spouse (B5116 + B5216).  Based on
	projected future wages.  No missing data for households where 
	respondent or their spouse is over age 39.

	xxxxxx. dollars (xx to xxxxxx)
	    -9. not calculated (1368 cases)
	     0. none (432 cases)


B3317 	TOTAL NET PRESENT VALUE OF PENSIONS.
	The sum of the net present value of pensions from past and
	current jobs, Social Security, current job thrift accounts,
	and pensions currently received by household members other
	than head or spouse (B3313 + B3314).  No missing values for 
	households where respondent or their spouse is over age 39.

	xxxxxx. dollars (-844,855 to 2,455,843)
	    -9. not calculated (1415 cases)
	     0. none (161 cases)


                   Individual Liability Totals

B4001 	HOUSE MORTGAGE TOTAL.
	The sum of first and second mortgage loans on household's
	primary residence.  No missing values.

	xxxxxxx. dollars (95 to 1,786,740)
	      0. none (2509 cases)


B3602 	AGGREGATE AMOUNT OWED AGAINST LAND CONTRACTS/NOTES.
	The total amount owed by the household on loans against
	properties with land contracts or notes owed to the household.
	No missing values.

	xxxxxxx. dollars (200 to 1,733,000)
	      0. none (4063 cases)


B3802 	AGGREGATE AMOUNT OUTSTANDING ON OTHER PROPERTY
	MORTGAGES.
	The total outstanding debt on other properties.  No missing values.

	xxxxxxx. dollars (94 to 8,070,427)
	      0. none (3660 cases)


B4102 	TOTAL CREDIT CARD DEBT.
	The sum of amount owed on gasoline, bank, general purpose,
	national retail, other retail, and other credit card debt after
	payment  of last bill.  No missing values.

	xxxxx. dollars (5 to 10,200)
	    0. none (2686 cases)


B4125 	AMOUNT OWED ON LINES OF CREDIT.
	The amount currently owed on open-ended lines of credit such
	as checking account overdrafts or credit union borrowing. 
	No missing values.

	xxxxxxx. dollars (33 to 6,000,000)
	      0. none (3605 cases)


B4204 	TOTAL REPORTED LOANS AGAINST THE CASH VALUE OF LIFE
	INSURANCE.
	This variable is the sum of loans with irregular payments
	reported in the Consumer Loan Section which were loans from
	life insurance companies.  It was assumed that these were
	loans against the cash value of whole life policies.  These
	loans are excluded from total consumer debt, total debt, and net
	worth, as the corresponding cash value asset was not reported
	in the Life Insurance Section.  No missing values.

	xxxxxx. dollars (44 to 300,000)
	     0. none (3902 cases)


B4205 	TOTAL LOANS FOR AUTOMOBILE PURCHASE.
	This variable is the sum of loans reported in the Consumer
        Loan Section where the purpose of the loan was reported to be
        a new or used automobile or truck purchase.  No missing values.

	xxxxx. dollars (29 to 54,074)
	    0. none (2963 cases)


B4206 	TOTAL NON-AUTO CONSUMER LOANS.
	The sum of all loans in the reported in the Consumer Loan
        Section minus irregular loans from life insurance companies
        minus loans used to purchase automobiles or other vehicles
        (B4201 - B4205).  No missing values. 

	xxxxxxx. dollars (14 to 5,027,000)
	      0. none (2860 cases)


                           Liability Summary Totals

B3318 	TOTAL REAL ESTATE DEBT.
	The sum of house mortgage, amount owed against land
        contracts/notes, and other property mortgages (B4001 + B3602 +
        B3802).  No missing values. 

	xxxxxxx. dollars (95 to 8,485,059)
	      0. none (2348 cases)


B4101 	TOTAL REVOLVING CHARGE DEBT.
	The sum of total credit card debt plus debt owed against lines
        of credit (B4125 + B4102).  No missing values.

	xxxxxxx. dollars (5 to 6,000,000)
 	      0. none (2480 cases)


B4201 	TOTAL CLOSED-END CONSUMER DEBT OUTSTANDING.
	This variable is the total amount outstanding for all debts
        owed by the household which are listed in the Consumer Loan
        Section except for loans against the cash-value of life
        insurance policies.  No missing values. 

	xxxxxxx. dollars (14 to 5,027,000)
	      0. none (2194 cases)


B4202 	TOTAL REGULAR PAYMENT (INSTALLMENT) DEBT OUTSTANDING.
	This variable is the total amount outstanding for all debts
        with regular payments listed in the Consumer Loan Section.  No
        missing values. 

	xxxxxx. dollars (14 to 403,325)
	     0. none (2450 cases)


B4203 	TOTAL NON-REGULAR PAYMENT (NON-INSTALLMENT) DEBT
	OUTSTANDING.
	This variable is the total amount outstanding for all debts
        without regular payments (or where the payment pattern was not
        ascertained) listed in the Consumer Loan Section except for
        loans against the cash value of life insurance policies. 
        No missing values.

	xxxxxxx. dollars (22 to 5,027,000)
	      0. none (3600 cases)


B3319 	TOTAL CONSUMER DEBT.
	The sum of total closed-end consumer debt (excluding loans
        against the cash value of life insurance policies) and
        revolving charge debt (B4201 + B4101).  No missing values.

	xxxxxxx. dollars (5 to 7,118,508)
	      0. none (1618 cases)


B3320 	TOTAL DEBT.
	The sum of total real estate debt and total consumer debt
        (B3318 + B3319).  No missing values.

	xxxxxxxx. dollars (9 to 10,792,929)
	       0. none (1205 cases)


                                            Net Worth

B3710 	NET EQUITY IN HOME.
	The current value of home minus amount outstanding on first
        and second mortgage.  This variable can be negative.  No
        missing values. 

	xxxxxxx. dollars (-7,828 to 3,494,570)
	      0. zero (1342 cases)


B3803 	AGGREGATE NET EQUITY IN OTHER PROPERTIES.
	The total gross value of properties listed in the Other
        Property Section minus outstanding mortgages or notes against
        the properties.  The gross value can be positive and net
        equity be zero.  No missing values. 

	xxxxxxxx. dollars (-99,196 to 50,000,000)
	      -6. net equity is zero but own other properties (1 case)
	       0. zero (3140 cases)


B3603 	AGGREGATE NET EQUITY IN LAND CONTRACTS AND NOTES.
	The total gross value of amount owed to household minus amount
        owed by household on loans against properties with land
        contracts or notes.  This variable can be negative.  No
        missing values. 

	xxxxxxx. dollars (-17,421 to 2,000,000)
	      0. zero (3900 cases)


B3321 	FINANCIAL NET WORTH.
	Total paper assets minus total debt (B3303 - B3320).  No
        missing values. 

	xxxxxxxx. dollars (-3,848,902 to 58,057,554)
	       0. none (203 cases)


B3322 	NET WORTH EXCLUDING BUSINESS OR NON-THRIFT PENSION.
	Gross assets excluding business and pensions minus total debt
	(B3304 - B3320).  No missing values.

	xxxxxxxx. dollars (-1,596,774 to 58,759,011)
	       0. none (105 cases)


B3323 	NET WORTH EXCLUDING NON-THRIFT PENSION.
	Gross assets excluding pensions minus total debt (B3305 -
	B3320).  No missing values.

	xxxxxxxx. dollars (-73,400 to 86,852,003)
	       0. none (105 cases)


B3324 	NET WORTH.
	Gross assets excluding pensions plus total net present value
	of pensions minus total debt (B3305 + B3316 - B3320).  No
	missing values (currently the same as B3323).

	xxxxxxxx. dollars (-73,400 to 86,852,003)
	       0. none (105 cases)


B3325 	CODED VARIABLE FOR NET WORTH.
	This variable is computed from total net worth (B3324).

	1. less than zero (198 cases)
	2. $0-4,999 (736 cases)
	3. $5,000-9,999 (226 cases)
	4. $10,000-24,999 (446 cases)
	5. $25,000-49,999 (597 cases)
	6. $50,000-99,999 (650 cases)
	7. $100,000-249,999 (533 cases)
	8. $250,000-500,000 (215 cases)
	9. $500,000-1,000,000 (156 cases)
       10. $1,000,000 and more (346 cases)


B3326 	CODED VARIABLE FOR NET WORTH BY DECILES.
	This variable is computed from total net worth (B3324).  Each
	category represents 10% of the weighted survey households (by
	B3012).  The cleaned sample composite weight was used.  The
	weighted median net worth was $34,268.  The 2% upper and lower
	bounds are -$1,584 and $825,042 respectively.  The 1% upper and lower
	bounds are -$3,485 and $1,373,405.

	1. less than $301 (375 cases)
	2. $301-2,600 (363 cases)
	3. $2,601-8,880 (375 cases)
	4. $8,881-20,219 (368 cases)
	5. $20,220-34,268 (372 cases)
	6. $34,269-51,044 (374 cases)
	7. $51,045-76,002 (377 cases)
	8. $76,003-114,649 (374 cases)
	9. $114,650-215,425 (363 cases)
       10. $215,426 or more (762 cases)


B3327 	CODED VARIABLE FOR NET FINANCIAL WORTH.
	This variable is computed from total net financial worth (B3321).

	1. less than zero (1733 cases)
	2. $0-4,999 (912 cases)
	3. $5,000-9,999 (228 cases)
	4. $10,000-24,999 (326 cases)
	5. $25,000-49,999 (239 cases)
	6. $50,000-99,999 (183 cases)
	7. $100,000-249,999 (151 cases)
	8. $250,000-499,999 (95 cases)
	9. $500,000-1,000,000 (72 cases)
       10. $1,000,000 or more (164 cases)

                   FINANCIAL ASSETS

	(#1) First Account
	(#2) Second Account
	(#3) Third Account
	(#4) Fourth Account
	(#5) Fifth or more account (summed)

               Financial Asset totals

B3301 	TOTAL DOLLAR AMOUNT OF LIQUID ASSETS.
	The sum of checking accounts, money market accounts, savings
	accounts, IRAs and Keoghs, CDs, and savings bonds owned by
	household (B3401 + B3418 + B3434 + B3446 + B3453 + B3457). 
	No missing values.

	xxxxxxx. dollars (4 to 4,188,500)
	      0. none (456 cases)


B3302 	TOTAL DOLLAR AMOUNT OF FINANCIAL ASSETS.
	The sum of liquid assets plus bonds, stock and mutual fund
	holdings, and trust accounts owned by household (B3301 + 
	B3458 + B3462 + B3470).  No missing values.

	xxxxxxxx. dollars (4 to 57,838,500)
	       0. none (450 cases)


B3303 	PAPER ASSETS.
	The sum of financial assets plus cash value of whole life
	insurance plus loans owed to household and gas leases plus
	gross value of land contracts plus thrift accounts (B3302 + 
	B3475 + B3477 + B3601 + B3306).  No missing values.

	xxxxxxxx. dollars (4 to 58,098,500)
	       0. none (401 cases)


                   Checking Accounts

B3401 	TOTAL DOLLAR AMOUNT IN UNRESTRICTED CHECKING
	ACCOUNTS.
	The total checking account balance (B3403 + B3406 + B3409 +
	B3412 + B3415).  No missing values.

	xxxxxxx. dollars (4 to 1,005,200)
	      0. none (806 cases)


B3402 	NUMBER OF CHECKING ACCOUNTS.
	All missing values were imputed.

	1. one (2233 cases)
	2. two (752 cases)
	3. three (189 cases)
	4. four (72 cases)
	5. five (25 cases)
	6. six (15 cases)
	7. seven (4 cases)
	8. eight (2 cases)
	9. nine (2 cases)
       10. ten (2 cases)
       14. fourteen (1 case)
	0. none (806 cases)

	question: K1a

B3403 (#1) 	DOLLAR AMOUNT IN EACH INDIVIDUAL CHECKING ACCOUNT.
B3406 (#2) 	The first account is self-defined as the main checking
B3409 (#3) 	account i.e. the one with the most checks written on it.  The
B3412 (#4) 	fifth account contains the sum of all additional accounts
B3415 (#5)     	if there are more than five.  All missing values
		imputed.  Imputations for the first account were done using a
		regression for log-value with a random term
		added. Values for other account imputations were done
		similarly, but using ratios against the first account
		as dependent variables.  Some accounts originally
		designated as "cash management" were transferred to
		money market accounts and some account which appeared
		to be double counted were eliminated.

		xxxxxx. dollars (4 to 500,000)
		     0. INAP, no account (806/3039/3791/3980/4052 cases)

	question: K4


B3404 (#1) 	TYPE OF FINANCIAL INSTITUTION WHERE ACCOUNT LOCATED.
B3407 (#2) 	All missing values were imputed.  Imputations were made using
B3410 (#3) 	the financial services variables (K31a-h and K36a-c) and
B3413 (#4)  	conditional mean tables with randomization.
B3416 (#5)
		1. commercial bank (2744/829/255/105/46 cases)
		2. savings and loan association or savings bank 
		   (395/151/39/14/4 cases)
		3. credit union (146/76/12/3/0 cases)
		6. brokerage company or money market mutual fund 
		   (11/6/4/1/1 cases)
		7. insurance company (0/0/1/0/0 cases)
	       21. real estate investment company (0/1/0/0/0 cases)
	       31. AARP (0/0/1/0/0 cases)
	       97. other type (1/1/0/0/0 cases)
		0. INAP (806/3039/3791/3980/4052 cases)

	question: K3


B3405 (#1) 	TYPE OF CHECKING ACCOUNT.
B3408 (#2) 	All missing values were imputed.  Accounts of less than $1500
B3411 (#3) 	in super NOWs were converted to regular NOWs.  Similarly all
B3414 (#4) 	regular checking accounts at S&Ls or credit unions were
B3417 (#5) 	converted to NOWs.

		1. regular checking (2381/650/192/83/37 cases)
		2. NOW account or regular share draft (814/351/84/28/10 cases)
		3. super NOW, super share draft (79/46/26/10/3 cases)
		4. cash management, MMF, sweep (12/13/9/2/1 cases)
		7. other type (11/4/1/0/0 cases)
		0. INAP (806/3039/3791/3980/4052 cases)

	question: K2


                 Money Market Accounts

B3418 	TOTAL DOLLAR AMOUNT IN ALL MONEY MARKET AND CALL
	ACCOUNTS.
	The sum of all money market and call account balances (B3422 +
	B3425 + B3428 + B3431).  No missing values.

	xxxxxxx. dollars (8 to 4,100,000)
	      0. none (3284 cases)


B3419 	TOTAL DOLLAR AMOUNT IN MMDA MONEY MARKET ACCOUNTS.
	These are money market accounts at commercial banks, savings
	and loans, and credit unions (the sum of B3422 + B3425 + B3428
	+ B3431 where B3424, B3427, B3430, or B3433 respectively are 
	coded 1, 2, or 3).  No missing values.

	xxxxxxx. dollars (25 to 4,000,000)
	      0. none (3657 cases)


B3420 	TOTAL DOLLAR AMOUNT IN OTHER MONEY MARKET ACCOUNTS.
	These are all money market or call accounts except those at
	commercial banks, savings and loans, and credit unions (the
	sum B3425 + B3428 + B3431 where B3424, B3427, B3430, or B3433
	respectively are coded 4 or more).  Most will be money market 
	mutual fund (MMF) accounts at brokerages.  No missing values.

	xxxxxxx. dollars (8 to 2,250,000)
	      0. none (3626 cases)


B3421 	NUMBER OF MONEY MARKET ACCOUNTS.
	This total does not include broker call accounts (B3431).  All
	missing values were imputed.

	1. one (453 cases)
	2. two (182 cases)
	3. three (85 cases)
	4. four (38 cases)
	5. five (20 cases)
	6. six (11 cases)
	7. seven (4 cases)
	8. eight (1 case)
	9. nine (2 cases)
       11. eleven (2 cases)
       12. twelve (1 case)
        0. none (3304 cases)

	question: K1a


B3422 (#1) 	DOLLAR AMOUNT IN EACH INDIVIDUAL MONEY MARKET
B3425(#2)	ACCOUNT.
B3428 (#3) 	The first three accounts are those given in the money market
B3431 (#4) 	section.  The third account contains the sum of any additional
		accounts if there were more than three.  The fourth
		account listed is the brokerage call money account
		(answer K21b, K21c).  All missing values were imputed.
		Imputations for the first account were done by regression for
		log-value with a random term added.  The values for
		other account imputations were computed similarly, but
		using ratios against the first account as dependent
		variables.  The call money account was imputed
		separately with a log-value regression.  Some apparent
		double accounting with employer thrift accounts was eliminated.

		xxxxxxx. dollars (8 to 4,000,000)
		      0. INAP, no account (3304/3757/3939/4036 cases)

	question: K14c,K21c


B3423 (#1) 	DOES MONEY MARKET ACCOUNT HAVE CHECK-WRITING
B3426 (#2)	FEATURES?
B3429 (#3) 	Accounts #1-#3 are money market accounts, account #4 is
B3432 (#4) 	the brokerage call money account which is always coded 5.
		All missing values were imputed.  Imputations were made using 
		conditional mean tables with randomization.

		1. yes (562/241/112/0 cases)
		5. no (237/105/52/67 cases)
		0. INAP (3304/3757/3939/4036 cases)

	question: K14d


B3424 (#1) 	TYPE OF FINANCIAL INSTITUTION WHERE ACCOUNT LOCATED.
B3427 (#2) 	Accounts #1-#3 are money market accounts, account #4 is
B3430 (#3) 	the brokerage call money account which is always coded 6.
B3433 (#4)	All missing values were imputed.  Imputations were
		made using the financial services variables (K31d,
		K36a-c) and conditional mean tables with randomization.

		1. commercial bank (247/80/40/0 cases)
		2. savings and loan association or savings bank 
		   (144/57/20/0 cases)
		3. credit union (21/6/0/0 cases)
		6. brokerage company or money market mutual fund 
		   (364/192/99/67 cases)
		7. insurance company (11/5/3/0 cases)
	       17. individual lender (not codable above) (1/0/0/0 cases)
	       24. federal government: FMHA, SBA, VA, FHA, HUD, NDSL 
		   (1/0/0/0 cases)
	       25. other federal government, IRS (1/0/0/0 cases)
	       31. AARP (5/2/1/0 cases)
	       94. investment management or consulting company (4/1/1/0 cases)
	       97. other type (0/3/0/0 cases)
		0. INAP (3304/3757/3939/4036 cases)

	question: K14b


                      Savings Accounts

B3434 	TOTAL DOLLAR AMOUNT IN ALL SAVINGS OR SHARE ACCOUNTS.
	The sum of the balance in all savings accounts (B3436 + B3438
	+ B3440 + B3442 +  B3444).  No missing values.

	xxxxxx. dollars (4 to 957,672)
	     0. none (1640 cases)


B3435 	NUMBER OF SAVING ACCOUNTS.
	All missing values were imputed.

	1. one (1216 cases)
	2. two (671 cases)
	3. three (311 cases)
	4. four (137 cases)
	5. five (64 cases)
	6. six (41 cases)
	7. seven (6 cases)
	8. eight (6 cases)
	9. nine (4 cases)
       10. ten (5 cases)
       13. thirteen (1 case)
       35. thirty-five (1 case)
        0. none (1640 cases)

	question: K15a


B3436 (#1) 	DOLLAR AMOUNT IN EACH INDIVIDUAL SAVINGS ACCOUNT.
B3438 (#2) 	The first account is self-defined as the largest savings
B3440 (#3) 	account.  The fifth account contains the sum of all additional
B3442 (#4) 	accounts if there were more than five.  All missing values
B3444 (#5)	Imputations for the first account were done using a
		regression for log-value with a random term added.
		The values for other account imputations were computed
		similarly, but using ratios against the first account
		as dependent variables. Some apparent double counting
		with employer thrift accounts was eliminated.

		xxxxxx. dollars (3 to 859,000)
		     0. INAP, no account (1640/2856/3527/3838/3975 cases)

	question: K15c


B3437 (#1) 	TYPE OF FINANCIAL INSTITUTION WHERE ACCOUNT LOCATED.
B3439 (#2) 	All missing values were imputed.  Imputations were made using
B3441 (#3) 	the financial services variables (K31d, K36a-c) and
B3443 (#4)  	conditional mean tables with randomization.
B3445 (#5)
		1. commercial bank (1292/575/240/117/53 cases)
		2. savings and loan association or savings bank 
		  (754/422/232/109/54 cases)
		3. credit union (409/243/103/38/21 cases)
		4. finance or loan company (1/1/0/0/0 cases)
		6. brokerage company or money market mutual fund 
		  (1/2/0/0/0 cases)
		7. insurance company (1/0/0/0/0 cases)
	       12. doctor or hospital, dentist (0/1/0/0/0 cases)
	       15. employer (4/0/0/1/0 cases)
	       29. union (1/1/0/0/0 cases)
	       97. other type (0/2/1/0/0 cases)
		0. INAP (1640/2856/3527/3838/3975 cases)

	question: K15b


                        IRA/Keogh Accounts

B3446 	TOTAL DOLLAR AMOUNT IN IRA OR KEOGH ACCOUNTS.
	The sum of the balance in IRAs and Keoghs (B3447 + B3448).  
	No missing values.

	xxxxxxx. dollars (20 to 2,000,000)
	      0. none (3184 cases)


B3447 	TOTAL DOLLAR AMOUNT IN IRA ACCOUNTS.
	The amount in all individual retirement accounts (IRAs).  All
	missing values were imputed.  Imputations were done with a
	log-value regression with a random term added or using 
	information reported in the Income Section.

	xxxxxxx. dollars (20 to 2,000,000)
	      0. none (3229 cases)

	question: K7,K7a


B3448 	TOTAL DOLLAR AMOUNT IN KEOGH ACCOUNTS.
	The amount in all Keogh accounts.  All missing values were
	imputed.  Imputations were done with a log-value regression
	with a random term added or using information reported in the 
	Income Section.

	xxxxxx. dollars (5 to 550,000)
	     0. none (3931 cases)

	question: K8,K8a


B3449 (1st) 	TYPE OF FINANCIAL INSTITUTION WHERE IRA/KEOGHS LOCATED.
B3450 (2nd) 	Respondents were asked to list all institutions where the
B3451 (3rd) 	household had IRA or Keogh accounts.  These four variables
B3452 (4th) 	contain the codes of up to four mentions (for
		different types of institutions with multiple
		accounts).  All missing values were imputed.
		Imputations were made using the financial services
		variables (K31b, K36a-c) and conditional mean tables
		with  randomization.

		1. commercial bank (337/0/0/0 cases)
		2. savings and loan association or savings bank 
		   (211/26/0/0 cases)
		3. credit union (45/7/0/0 cases)
		6. brokerage company or money market mutual fund 
		   (181/59/5/2 cases)
		7. insurance company (114/15/4/0 cases)
	       15. employer (16/9/0/0 cases)
	       21. real estate investment company (2/1/1/0 cases)
	       22. school/college/university (1/0/0/0 cases)
	       29. union (1/0/0/0 cases)
	       31. AARP (0/1/0/0 cases)
	       94. investment management or consulting company (3/3/1/0 cases)
	       97. other type (8/4/2/0 cases)
		0. INAP, not that many mentions (3184/3978/4090/4101 cases)

	question: K9a


                      Certificates of Deposit

B3453 	TOTAL DOLLAR AMOUNT OF CERTIFICATES OF DEPOSIT.
	The sum of all CDs (B3454 + B3455 + B3456).  No missing values.

	xxxxxxx. dollars (100 to 3,000,000)
	      0. none (3244 cases)


B3454 	TOTAL DOLLAR AMOUNT OF ALL-SAVER CERTIFICATES
	OF DEPOSIT.
	The total of tax-free ($1000 income per person) all saver
	certificates.  All missing values were imputed.  Imputations
	were done with a log-value regression with a random term added
	or using information reported in the Income Section.

	xxxxxx. dollars (200 to 250,000)
	     0. none (3971 cases)

	question: K11


B3455 	TOTAL DOLLAR AMOUNT OF SHORT-TERM CERTIFICATES
	OF DEPOSIT.
	The total of seven to ninety day or six month money market CDs
	or retail repurchase agreements.  All missing values were
	imputed.  Imputations were done with a log-value regression
	with a random term added or using information reported in the 
	Income Section.

	xxxxxxx. dollars (100 to 3,000,000)
	      0. none (3748 cases)

	question: K12


B3456 	TOTAL DOLLAR AMOUNT OF LONG-TERM CERTIFICATES
	OF DEPOSIT.
	The total of one year or longer or small saver CDs.  All
	missing values were imputed.  Imputations were done with a
	log-value regression with a random term added or using 
	information reported in the Income Section.

	xxxxxx. dollars (100 to 460,000)
	     0. none (3597 cases)

	question: K13


                      Savings Bonds

B3457 	TOTAL FACE AMOUNT OF U.S. GOVERNMENT SAVINGS BONDS.
	All missing values were imputed.  Imputations were done with a
	log-value regression with a random term added or using information
	reported in the Income Section.

	xxxxxx. dollars (16 to 900,000)
	     0. none (3253 cases)

	question: K16,K16a


                          Bonds
 
B3458 	TOTAL FACE AMOUNT OF BONDS.
	Includes all bonds except U.S. government savings bonds and
        bonds held in trusts, mutual funds, or unit trusts (B3459 +
        B3460 + B3461).  No missing values. 

	xxxxxxxx. dollars (11 to 15,000,000)
	       0. none (3747 cases)

B3459 	TOTAL FACE AMOUNT OF FEDERAL GOVERNMENT BONDS
	OR BILLS.
	Excludes U.S. savings bonds.  All missing values were imputed.
        Imputations were done with a log-value regression with a
        random term added or using information reported in the Income Section.

	xxxxxxx. dollars (11 to 7,000,000)
	      0. none (3976 cases)

	question: K17a,K18a


B3460 	TOTAL FACE AMOUNT OF STATE, COUNTY, OR MUNICIPAL BONDS.
	These bonds include all tax-free (federal tax) revenue bonds.
	All missing values were imputed.  Imputations were done with a
	log-value regression with a random term added or using
	information reported in the Income Section.

	xxxxxxxx. dollars (25 to 15,000,000)
	       0. none (3858 cases)

	question: K17b,K18b


B3461 	TOTAL FACE AMOUNT OF CORPORATE, FOREIGN, OR
	OTHER BONDS.
	Includes all other bonds not included in savings bonds,
	federal bonds, and municipal bonds.  All missing values were
	imputed.  Imputations were done with a log-value regression
	with a random term added or using information from the Income Section.

	xxxxxx. dollars (154 to 800,000)
	     0. none (3968 cases)

	question: K17c,K18c


                 Stock and Mutual Funds

B3462 	TOTAL DOLLAR AMOUNT OF STOCKS AND MUTUAL FUNDS.
	Includes all stock holdings except non-traded holdings of
	businesses and stock in trusts plus mutual fund holdings
	except for money market accounts (B3463 + B3464 + B3465 + 
	B3466 + B3467).  No missing values.

	xxxxxxxx. dollars (23 to 53,150,000)
	       0. none (3030 cases)


B3463 	TOTAL DOLLAR AMOUNT OF SHARES IN TAX-FREE MUTUAL
	FUNDS.
	Includes holdings in tax-free mutual funds or unit trusts.
	Excludes money market mutual funds, sweep accounts, IRAs,
	thrifts, or pension assets.  All missing values were imputed.
	Imputations were made using a log-value regression with a
	random term added or using information from the Income Section.

	xxxxxxx. dollars (385 to 2,250,000)
	      0. none (3934 cases)

	question: K19a,K20a


B3464 	TOTAL DOLLAR AMOUNT OF SHARES IN TAXABLE MUTUAL
	FUNDS.
	Includes holdings in taxable mutual funds.  Excludes money
	market mutual funds, sweep accounts, IRAs, thrifts, or pension assets.
	All missing values were imputed.  Imputations were made using
	a log-value regression with a random term added or using 
	information from the Income Section.

	xxxxxxx. dollars (100 to 4,300,000)
	      0. none (3899 cases)

	question: K19b,K20b


B3465 	TOTAL DOLLAR AMOUNT OF STOCK HELD IN INVESTMENT CLUBS.
	Includes holdings of publicly traded stock purchased as part
	of an investment club of partnership.  The value is the household's
	share.  All missing values were imputed.  Imputations were
	made using a log-value regression with a random term added or 
	using information from the Income Section.

	xxxxxxx. dollars (69 to 1,500,000)
	      0. none (4042 cases)

	question: K19d,K20d


B3466 	TOTAL DOLLAR AMOUNT OF PUBLICLY TRADED STOCK IN OWN
	COMPANY.
	The value of publicly traded stock owned by any household
	member in the company where he/she works.  This excludes
	monies in trusts, pension funds, or businesses listed in the
	Business Section.  All missing values were imputed.
	Imputations were made using a log-value regression with a random term
	added or using information from the Income Section.  Some
	apparent double counting with employer thrift accounts and 
	privately owned business holdings was eliminated.

	xxxxxxxx. dollars (10 to 50,000,000)
	       0. none (3737 cases)

	question: K19c,K20c


B3467 	TOTAL DOLLAR AMOUNT OF OTHER PUBLICLY TRADED STOCK.
	Excludes holdings in company where household member works,
	mutual funds, trusts,  and pension assets.  All missing values
	were imputed.  Imputations were made using a log-value
	regression with a random term added or using information from 
	the Income Section.

	xxxxxxxx. dollars (25 to 25,000,000)
	       0. none (3325 cases)

	question: K19e,K20e


B3468 	NUMBER OF DIFFERENT COMPANIES IN WHICH STOCK IS OWNED.
	Excludes mutual funds, trusts, or pension assets.  Thus, it
	includes stock in companies where household member works
	(B3466) and other publicly held stock (B3467).  All missing
	values were imputed using conditional mean tables with randomization.

	xx. number of companies (1 to 95)
	 0. none, own no publicly traded stock (3099 cases)

	question: K19f


B3469 	NUMBER OF TIMES STOCKS PURCHASED/SOLD IN PAST YEAR.
	Limited to purchases and sales of publicly traded stock using
	a broker.  Only households with a brokerage account were asked
	the question.  All missing values were imputed.  Imputations 
	using conditional mean tables with randomization.

	xx. number of occasions (1 to 95)
        -6. none, but have a brokerage account (85 cases)
         0. none, do not have a brokerage account (3549 cases)

	question: K21,K21a


                   Trust Accounts

B3470 	TOTAL DOLLAR AMOUNT IN TRUST ACCOUNTS.
	Includes all monies in trust or managed investment accounts
	not listed previously. Excludes pension or company thrift accounts.
	All missing values were imputed. Imputations were done with a
	log-value regression with a random term added or using
	information from the Income Section.  Some double counting with
	employer thrift accounts eliminated.

	xxxxxxxx. dollars (20 to 35,000,000)
	       0. none (3847 cases)

	question: K22,K22a


B3471 	WHO MANAGES THE TRUST?
	All missing values were imputed.  Imputations were made 
	using conditional mean tables with randomization.

	1. commercial bank (85 cases)
	2. savings and loan association or savings bank (13 cases)
	3. credit union (6 cases)
	6. brokerage company or money market mutual fund (22 cases)
	7. insurance company (33 cases)
        13. lawyer (7 cases)
	14. accountant (3 cases)
	15. employer (3 cases)
	16. friend or relative (not codable above) (29 cases)
	21. real estate investment company (1 case)
	23. local/county/state government (1 case)
	27. self (manage own trust) (24 cases)
	29. union (1 case)
	30. church (1 case)
	94. investment, management, or consulting companies (12 cases)
	96. other combination (6 cases)
	97. other type (9 cases)
	 0. INAP, no trust (3847 cases)

	question: K22b


                     Insurance

B3472 	MEDICAL OR HEALTH INSURANCE.
	Respondent was asked if anyone in the household had medical
	insurance for doctor or hospital care.  The answer should
	exclude Medicare and Medicaid.  All missing values were
	imputed.  Imputations were done with conditional mean tables
	with randomization.

	1. household has medical insurance (3350 cases)
	5. household does not have medical insurance (573 cases)

	question: K23


B3473 	DOLLAR FACE AMOUNT OF TERM LIFE INSURANCE.
	The current face value of all term life policies excluding
	policies where a business is the beneficiary.  All missing values were
	imputed.  Imputations were done with a log-value regression
	with a random term added.

	xxxxxxx. dollars (100 to 4,000,000)
	      0. none, no term insurance (2056 cases)

	question: K24b


B3474 	DOLLAR FACE AMOUNT OF WHOLE LIFE INSURANCE.
	The current face value of all whole life policies excluding
	policies where a business is the beneficiary.  All missing
	values were imputed.  Imputations were done with a log-value 
	regression with a random term added.

	xxxxxxx. dollars (100 to 9,000,000)
	      0. none, no whole life insurance (2307 cases)

	question: K24c


B3475 	DOLLAR CASH VALUE OF WHOLE LIFE INSURANCE.
	The current cash value of all whole life policies excluding
	policies where a business is the beneficiary.  The value is
	net and excludes borrowings against the policy.  All missing
	values were imputed.  Imputations were done with a regression
	of the ratio of cash to face amount with a random term added.  Only
	400 respondents of 1400 with whole life policies answered the
	question, so the variable may be of dubious value.

	xxxxxxx. dollars (3 to 3,000,000)
	     -6. none, have whole life insurance (294 cases)
	      0. none, no whole life insurance (2307 cases)

	question: K24d


                                           Other Assets

B3476 	TOTAL DOLLAR AMOUNT OF OTHER MISCELLANEOUS ASSETS.
	The sum of other assets including loans owed to household and
	gas leases, precious  metals, boats, classic cars, campers,
	airplanes, cycles, antiques, art, collections, or livestock.
	Includes only those items listed by respondent in the "other
	asset" category (the sum of B3483 + B3485 + B3487).  Be cautious in
	using this variable.  No missing values.

	xxxxxxx. dollars (40 to 2,525,000)
	      0. none (3559 cases)


B3477 	TOTAL DOLLAR AMOUNT OF LOANS OWED TO HOUSEHOLD AND
	GAS LEASES.
	The sum of loans owed to household from friends or others and
	gas/oil leases (the sum of B3483 + B3485 + B3487 when B3482,
	B3484, or B3486 respectively, are coded 61, 62, or 71).  
	No missing values.

	xxxxxxx. dollars (100 to 1,200,000)
	      0. none (4003 cases)

B3478 	TOTAL DOLLAR AMOUNT OF PRECIOUS METALS.
	The sum of gold, silver, or other precious metals owned by
	household (the sum of B3483 + B3485 + B3487 when B3482, B3484,
	or B3486 respectively, are coded 1, 2, or 3).  No missing values.

	xxxxxx. dollars (300 to 400,000)
	     0. none (4043 cases)


B3479 	TOTAL DOLLAR AMOUNT OF BOATS.
	The total dollar value of boats owned by household (the sum of
	B3483 + B3485 + B3487 when B3482, B3484, or B3486
	respectively, are coded 51).  No missing values.

	xxxxxxx. dollars (100 to 1,500,000)
	      0. none (4002 cases)


B3480 	TOTAL DOLLAR AMOUNT OF CLASSIC CARS/CAMPERS/
	AIRPLANES/CYCLES.
	The total dollar value of antique cars, campers, trailers,
	airplanes, or motorcycles owned by the household (the sum of
	B3483 + B3485 + B3487 when B3482, B3484, or B3486
	respectively, are coded 11, 52, 53, or 54).  Excludes any 
	vehicles listed in the Vehicle Section.  No missing values.

	xxxxxxx. dollars (400 to 1,000,000)
	      0. none (4064 cases)


B3481 	TOTAL DOLLAR AMOUNT OF ANTIQUES, ART, COLLECTIONS,
	LIVESTOCK.
	The total dollar value of jewelry or gem stones, antiques, art
	objects, rare books, coin or stamp collections, guns, cemetery
	plots, china or figurines, musical instruments, livestock or
	horses, or or oriental rugs owned by household (the sum of
	B3483 + B3485 + B3487 when B3482, B3484, or B3486
	respectively, are coded 10, 12-17, or 19-23).  No missing values.

	xxxxxxx. dollars (40 to 2,000,001)
	      0. none (3765 cases)


B3482 (#1) 	TYPES OF OTHER ASSETS, LISTED INDIVIDUALLY.
B3484 (#2) 	Codes are listed for up to three other types of assets.  Real
B3486 (#3) 	estate assets moved to Other Properties Section.  A
		word of caution should be said about using these
		variables.  Respondent was asked about other savings
		and investments including loans, antiques, precious
		metals or art held for investment purposes.
		Respondent thus "self-defined" whether art, for
		example, was for investment or other purposes (in which case it
		presumably is not reported). Moreover, the value listed is that
		assigned by the respondent, with different assessment 
		standards probably used.  Some estimates look to be
		very dubious.

		1. gold (13/5/0 cases)
		2. silver (11/10/6 cases)
		3. other metals or metals NA type (12/5/2 cases)
	       10. jewelry; gem stones (61/35/9 cases)
	       11. cars (antique or classic) (13/4/2 cases)
	       12. antiques (106/32/11 cases)
	       13. art objects (42/27/10 cases)
	       14. rare books (5/0/1 cases)
	       15. coin collections (41/9/1 cases)
	       16. stamp collections (9/3/1 cases)
	       17. guns (9/4/0 cases)
	       19. cemetery plots (6/0/0 cases)
	       20. china, figurines (6/5/3 cases)
	       21. musical instruments (5/0/0 cases)
	       22. livestock, horses (3/1/0 cases)
	       23. oriental rugs (3/3/0 cases)
	       51. boat (95/11/1 cases)
	       52. camper; trailer (10/3/0 cases)
	       53. airplane (4/2/2 cases)
	       54. motorcycle (2/1/0 cases)
	       61. loans to friends/relatives (54/13/4 cases)
	       62. other loans or debts owed to household (21/6/1 cases)
	       71. oil/gas leases/investments (13/1/0 cases)
		0. INAP, no asset (3559/3923/4049 cases)

	question: K27a


B3483 (#1) 	DOLLAR AMOUNT OF OTHER ASSETS, LISTED INDIVIDUALLY.
B3485 (#2) 	The dollar amount of up to three other assets are listed.
B3487 (#3) 	All missing values are imputed for loans and gas
		leases.  Imputations were done with a log-value
		regression for each type of asset with a random term added.

		xxxxxxx. dollars (40 to 1,500,000)
		      0. INAP (3559/3923/4049 cases)

	question: K27b

                  BUSINESS ASSETS

		(A) First business
		(B) Second business

     Respondents were asked about any privately-held businesses,
farms, professional practices and partnerships which he/she owned or
shared ownership in.  Data were reported for the aggregate value of
such firms in which no member of the household had an active
management role, and for detailed data on up to two firms in which a
household member had an active management role.  There is some
potential inconsistency with how respondents assigned property owned
by partnerships between this section and the Other Properties Section.
The high-income sample was imputed separately from the area probability sample.


              Net Value of Businesses

B3501	NET VALUE OF BUSINESS WITH NO MANAGEMENT INTEREST.
	Excludes publicly traded stock holdings and properties listed
	in the Other Properties Section.  All missing values were imputed.
	Imputations were done with a log-value regression with a
	random term added.

	xxxxxxxx. dollars (100 to 15,000,000)
	      -6. worthless, but have non-management business (5 cases)
	       0. none, no business (3796 cases)

	question: K25a,K25b,K26m,K26n


B3502	TOTAL VALUE OF BUSINESS WITH A MANAGEMENT INTEREST.
	Excludes publicly traded stock holdings and properties listed
	in the Other  Properties Section (the sum of B3503 + B3516).  
	No missing values.

	xxxxxxxx. dollars (-4,000 to 74,000,000)
	      -6. worthless, but have management business (8 cases)
	       0. none (3432 cases)


B3503 (A) 	NET VALUE OF EACH BUSINESS WITH A MANAGEMENT ROLE.
B3516 (B) 	The variable is the net equity value plus debts owed
		by the business to the household minus debt owed by
		the household to the business (B3503 equals B3509 + 
		B3506 - B3507 and B3516 equals B3522 + B3519 -
		B3520).  No missing values.

		xxxxxxxx. dollars (-4,000 to 73,000,000)
		      -6. business is worthless (12/4 cases)
		       0. INAP, no business (3432/3955 cases)


          Organization of Businesses With a Management Role

B3504 (A) 	KIND OF BUSINESS.
B3517 (B) 	All missing values were imputed.  Imputations were
		done with conditional mean tables and from occupations
		and industry codes given for self-employed persons
		working  in business.

		1. farm, nursery, agricultural service, landscaping 
		   (114/15 cases)
		2. restaurant (13/1 cases)
		3. auto repair (13/2 cases)
		4. direct sales; Amway; Avon; Mary Kay; Tupperware;
		   Stanley home products (21/5 cases)
		5. contracting; construction services; plastering;
		   painting; plumbing (63/3 cases)
		6. real estate; insurance (63/42 cases)
		7. professional practice including law, medicine,
		   architecture, accounting (105/12 cases)
		8. beauty shop (7/2 cases)
		9. manufacturing, including printing and publishing 
		   (70/17 cases)
	       10. gas station (4/1 cases)
	       11. food, liquor stores (10/0 cases)
	       12. other wholesale or retail outlets (72/15 cases)
	       13. trucking; moving and storage (11/2 cases)
	       14. repair services; appliances, TV, upholstery,
		   furniture, shoes (15/1 cases)
	       15. personal services, including hotels, dry cleaners, 
	           funeral homes (7/4 cases)
	       16. entertainment services, including dance studios and
		   drive in theaters (6/4 cases)
	       17. business management and consulting services (25/9 cases)
	       18. other business services, including advertising,
		   equipment rental, computer programming, and pest
		   control (26/9 cases)
	       19. banks and brokerage firms (13/3 cases)
	       20. other kind (13/1 cases)
	        0. INAP (3432/3955 cases)

	question: K26


B3505 (A) 	LEGAL STRUCTURE.
B3518 (B) 	All missing values were imputed.  Imputations were
		done with conditional mean tables with randomization.

		1. proprietorship (254/39 cases)
		2. partnership (170/49 cases)
		3. corporation (247/60 cases)
		0. INAP (3432/3955 cases)

	question: K26a


                          Debts of/to Businesses With a Management Role

B3506 (A) 	DOLLAR AMOUNT OWED TO HOUSEHOLD BY BUSINESS.
B3519 (B) 	All missing values were imputed.  Imputations were
		done with a ratio regression after the value of the 
		business was cleaned.  Random terms were added.

		xxxxxxx. dollars (150 to 2,500,000)
		     -6. none (538/119 cases)
	              0. INAP (3432/3955 cases)

	question: K26b,K26c


B3507 (A) 	DOLLAR AMOUNT OWED TO BUSINESS BY HOUSEHOLD.
B3520 (B) 	All missing values were imputed.  Imputations were
		done with a ratio regression after the value of the 
		business was cleaned.  Random terms were added.

		xxxxxx. dollars (100 to 200,000)
	            -6. none (642/141 cases)
	             0. INAP (3432/3955 cases)

	question: K26d,K26e


                                   Household Equity in Business

B3508 (A) 	PERCENTAGE OF BUSINESS OWNED BY HOUSEHOLD.
B3521 (B) 	All missing values were imputed.

		xxxx. percentage times 10 (1 to 1000)
		   0. INAP (3432/3955 cases)

	question: K26f


B3509 (A) 	VALUE OF HOUSEHOLD'S NET SHARE IN THE BUSINESS.
B3522 (B) 	Self-evaluation of the worth of the household's share.
		Some values appear to be excessive.  All missing
		values were imputed.  Imputations were done after
		constructing household income, participation and cash
		flow variables and cleaning of net income variables.
		Log-value regressions were run for imputations by type
		of business using the above variables as predictors.

		xxxxxxxx. dollars (80 to 73,000,000)
		      -6. worthless (16/4 cases)
		       0. INAP (3432/3955 cases)

	question: K26g


                                       Business Income Data

B3510 (A) 	BUSINESS'S GROSS RECEIPTS OR SALES IN 1982.
B3523 (B) 	Total sales/receipts, not just the household's share.
		All missing values wereimputed.  Imputations were done
		after household participation and cash flow variables
		were constructed.  Imputations were done using a
		log-value regression by type of business with the
		above variables and net income (when supplied).

		xxxxxxxxxx. dollars (100 to 3,500,000,000)
		        -4. small negative amount (1/0 cases)
		        -6. none, no sales/receipts (38/13 cases)
		         0. INAP (3432/3955 cases)

	question: K26h


B3511 (A) 	BUSINESS'S NET INCOME IN 1982.
B3524 (B) 	Total net income, not just the household's share.  All
		missing values were imputed.  Imputations were done
		using income or wage variables where
		possible. Regression imputations were done from
		log-value regressions by type of business using 
		participation variables and other demographics.

		xxxxxxxx. dollars (-12,000,000 to 84,300,000)
		      -4. a small loss (16/7 cases)
		      -6. none, no net income (75/28 cases)
		       0. INAP (3432/3955 cases)

	question: K26j


B3512 (A) 	HOUSEHOLD'S INCOME FROM BUSINESS IN 1982.
B3525 (B) 	A constructed variable.  Includes all salary earnings
		that could be attributed to business plus non-retained
		earnings.  These were determined from the Income
		Section and the household's portion of net income. 
		No missing values.

		xxxxxxx. dollars (-27,444 to 3,425,887)
		     -4. a small loss (10/7 cases)
		     -6. none, no net income (83/46 cases)
		      0. INAP (3432/3955 cases)


B3513 (A) 	HOUSEHOLD'S SHARE OF RETAINED EARNINGS IN BUSINESS
B3526 (B)	IN 1982.
		A constructed variable.  Computed by subtracted business
		earnings as reported in the Income Section (and
		sometimes wages) from the household's share of net
		income.  No missing values.

		xxxxxxxx. dollars (-2,355,000 to 30,000,000)
		      -4. a small loss (1/0 cases)
		      -6. none, no net income (553/117 cases)
		       0. INAP (3432/3955 cases)


                   Household Participation

B3514 (A) 	HEAD'S PARTICIPATION IN BUSINESS.
B3527 (B) 	A constructed variable.  Determined from job variables
		and earnings information whether management role in
		the business was head's major job.  The head is the
		respondent for single persons and the husband for
		married couples.  No missing values.

		1. business was head's major job in 1982 (444/48 cases)
		5. business was not head's major job in 1982 (227/100 cases)
		0. INAP (3432/3955 cases)


B3515 (A) 	SPOUSE'S PARTICIPATION IN BUSINESS.
B3528 (B) 	A constructed variable.  Determined from job variables
		and earnings information whether management role in
		the business was spouse's (wife) major job.  No missing values.

		1. business was spouse's major job in 1982 (114/16 cases)
		5. business was not spouse's major job in 1982 (465/113 cases)
		0. INAP, no spouse (3524/3974 cases)

         LAND CONTRACTS OR LOANS/NOTES OWED TO HOUSEHOLD

		(A) First land contract/note
		(B) Second land contract/note
		(C) Third land contract/note

     Respondents were asked if he/she had ever sold real estate for
which he/she loaned money to the buyer or issued a land contract which
was still outstanding.  Any property sold by a business he/she owned
was excluded.  Individual data for up to three of these notes and/or
land contracts is given.  These are household assets.

         Value of Aggregate Land Contracts and Notes

B3601 	AGGREGATE GROSS VALUE OF LAND CONTRACTS AND NOTES.
	The total gross current value of land contracts or notes owed
	to household (B3605 + B3620 + B3635).  These are household assets.  
	No missing values.

	xxxxxxx. dollars (124 to 2,627,339)
	      0. none (3900 cases)


B3602 	AGGREGATE AMOUNT OWED AGAINST LAND CONTRACTS/NOTES.
	The total amount owed by household on loans against properties
	with land contracts or notes owed to household (B3607 + B3622 +
	B3637).   These are household liabilities.  No missing values.

	xxxxxxx. dollars (200 to 1,733,000)
	      0. none (4063 cases)


B3603 	AGGREGATE NET EQUITY IN LAND CONTRACTS AND NOTES.
	The total gross value of amount owed to household minus amount
	owed by household on loans against properties with land
	contracts or notes (B3601 - B3602).  No missing values.

	xxxxxxx. dollars (-17,421 to 2,000,000)
	      0. none (3900 cases)


                      Type of Asset

B3604 (A)	NOTE OR LAND CONTRACT.
B3619 (B)	All missing values were imputed.
B3634 (C)
		1. note (131/34/12 cases)
		2. land contract (72/12/6 cases)
		0. INAP, no loan or land contract (3900/4057/4085 cases)

	question: C19a


     Value of Individual Land Contracts and/or Notes Owed to Household

B3605 (A)	GROSS PRESENT VALUE.
B3620 (B)	This variable is directly answered for all notes, and is the
B3635 (C)	amount still outstanding on the note .  It is a
		household asset.  For land contracts (B3604, B3619, or
		B3634 equals 2), it is directly answered if the land
		contract does not have regular payments.  Otherwise it
		is calculated from the date the land contract is due,
		the payment frequency, the number of original
		payments, the payment size (PAYMENT), balloon size
		(BALLOON), and an assigned discount rate (INTEREST)
		set to the government bond rate at the time of the
		survey (.1085).  The value formula is then:
		VALUE=PAYMENT*((1-1/(1+INTEREST/12)**PAYLEFT)/(INTEREST/12))
                +BALLOON/((1+INTEREST/12)**PAYLEFT) where PAYLEFT is
		the number of payments left.  All missing values were
		imputed. For notes, imputations used a regression of
		log-value with a random term added For land contracts
		payment terms were individually imputed where necessary.

		xxxxxxx. dollars (124 to 2,000,000)
		      0. INAP, no loan or land contract (3900/4057/4085 cases)

	question: C19b,C19d


B3606 (A)	NET EQUITY.
B3621 (B)	Gross present value of land contract or loan minus amount owed
B3636 (C)	by the household on loans against the property sold by
		note or contract (B3605 - B3607, B3620 - B3622, or
		B3635 - B3637).  No missing values.

		xxxxxxx. dollars (-39,000 to 2,000,000)
		     -6. net equity is zero but have loan/land
			 contract (1/1/1 cases)
		      0. INAP (3900/4057/4085 cases)


B3607 (A)	AMOUNT OWED BY HOUSEHOLD ON LOAN/LAND CONTRACT
B3622 (B)	PROPERTY.
B3637 (C)	The amount household owes on loans against the property sold
		by note or land contract.  These are household liabilities.
		All missing values were imputed.  Imputations were
		done with a regression of log-value with a random term added.

		xxxxxxx. dollars (200 to 1,137,000)
		      0. none, INAP (4070/4092/4096 cases)

	question: C19i,C19j
                                      Date of Land Contract

B3608 (A)	MONTH LAND CONTRACT TAKEN OUT.
B3623 (B)	Computed only for land contracts.  The origination date was
B3638 (C)	computed from the current date, the date the land
		contract is due, the payment frequency, and the
		original number of payments.

		xx. month (1 to 12)
		 0. INAP, no land contract (4031/4091/4097 cases)


B3609 (A)	YEAR LAND CONTRACT TAKEN OUT.
B3624 (B)	Computed only for land contracts.  The origination date was
B3639 (C)	computed from the current date, the date the land
		contract is due, the payment frequency, and the
		original  number of payments.

		xxxx. year (1957 to 1983)
		   0. INAP (4031/4091/4097 cases)


B3610 (A)	MONTH LAND CONTRACT DUE.
B3625 (B)	Answered only for land contracts.  All missing values were
B3640 (C)	imputed.

		xx. month (1 to 12)
		 0. INAP (4031/4091/4097 cases)

	question: C19f


B3611 (A)	YEAR LAND CONTRACT DUE.
B3626 (B)	Answered only for land contracts.  All missing values were
B3641 (C)	imputed.

		xxxx. year (1983 to 2009)
		   0. INAP (4031/4091/4097 cases)

	question: C19f


B3612 (A)	ORIGINAL MATURITY IN MONTHS.
B3627 (B)	Calculated form the date the land contract was taken out and
B3642 (C)	the date it is due.  Calculated only for land
		contracts.  No missing values.

		xxx. months (24 to 360)
		  0. INAP (4031/4091/4097 cases)


         Amount Originally Borrowed on Land Contract

B3613 (A)	AMOUNT BORROWED.
B3628 (B)	A calculated variable for all land contracts.  An estimate of
B3643 (C)	the original value of the land contract was computed
		using the formula: VALUE=PAYMENT*((1-1/(1+INTEREST/12)
		**ORIGPAY)/(INTEREST/12))+BALLOON/((1+INTEREST/12)**ORIGPAY)
		where INTEREST is the interest rate assumed to be used
		in setting up the contract, BALLOON is the reported
		balloon  payment (if any), PAYMENT is the payment
		size, and  ORIGPAY is the original number of payments.  All
		contracts were arbitrarily assigned average
		conventional mortgage rates for the time the land
		contract was issued, as reported in the Federal
		Reserve Bulletin.  These were: 1971=7.6%, 1972=7.45%,
		1973=7.78%, 1974=8.71%, 1975=8.75%, 1976=8.76%,
		1977=8.80%, 1978=9.30%, 1979=10.48%, 1980=12.12%, 
		1981=14.16%, 1982=14.47%, 1983=12.20%.

		xxxxxxx. dollars (2,919 to 1,331,315)
		      0. INAP (4031/4091/4097 cases)


                                             Payments

B3614 (A)	SIZE OF EACH LAND CONTRACT PAYMENT.
B3629 (B)	Answered for land contracts only.  All missing values were
B3644 (C)	imputed.

		xxxxx. dollars (50 to 32,724)
		    0. INAP (4031/4091/4097 cases)

	question: C19c


B3615 (A)	FREQUENCY OF LAND CONTRACT PAYMENTS.
B3630 (B)	Answered for land contracts only.  All missing values were
B3645 (C)	imputed.

		5. monthly (60/9/5 cases)
		6. yearly (12/3/1 cases)
		0. INAP (4031/4091/4097 cases)

	question: C19c


B3616 (A)	ORIGINAL NUMBER OF LAND CONTRACT PAYMENTS.
B3631 (B)	Answered for land contracts only.  All missing values were
B3646 (C) 	imputed.

		xxx. number (2 to 360)
		  0. INAP (4031/4091/4097 cases)

	question: C19d


B3617 (A)	NUMBER OF LAND CONTRACT PAYMENTS LEFT.
B3632 (B)	Calculated from the original number of payments, the date of
B3647 (C)	the land contract, and the current date.  Calculated
		only for land contracts.  All missing values were imputed.

		xxx. number (1 to 320)
		  0. INAP (4031/4091/4097 cases)


B3618 (A)	AMOUNT OF BALLOON PAYMENT ON LAND CONTRACT (IF ANY).
B3633 (B)	Answered only for land contracts.  All missing values were
B3648 (C)	imputed.

		xxxxxx. dollars (2,000 to 550,000)
		     0. none, INAP (4077/4100/4102 cases)

	question: C19g,C19h

                         HOUSING

                 Residential Information

B3701 	LENGTH OF TIME RESPONDENT HAS LIVED IN COUNTY.
	Answered by survey respondent.  All missing values were imputed.

	xx. years (1 to 90)
	-7. all of their life (270 cases)

	question: C1


B3702 	RESIDENTIAL OWNERSHIP CODE.
	All missing values were imputed.

	1. own; buying; or land contract (2766 cases)
	2. pays rent (1243 cases)
	3. neither owns nor rents -- live-in servant; housekeeper;
	   gardener; farm laborer; others for whom housing is part of
	   compensation (janitors, nurses) (41 cases)
	4. neither owns nor rents -- house is a gift paid for by
	   someone outside household, household pays only taxes (46 cases)
	5. neither owns nor rents -- sold home, has not moved yet (1 case)
	6. neither owns nor rents -- living in house which will
	   inherit, estate in process (1 case)
	7. neither owns nor rents -- living in temporary quarters
	  (garage or shed) while home is under construction (1 case)
	8. other arrangement (4 cases)

	question: C2


B3703 	TYPE OF STRUCTURE IN WHICH HOUSEHOLD LIVES.
	All missing values were imputed using conditional mean tables 
	with randomization.

	1. trailer; mobile home (232 cases)
	2. detached single family house (2786 cases)
	3. 2-family house, 2 units side by side (143 cases)
	4. 2-family house, 2 units one above the other (110 cases)
	5. detached 3-4 family house (41 cases)
	6. row house, 3 or more units in an attached row (127 cases)
	7. apartment house, 4 or fewer units (129 cases)
	8. apartment house, 5 or more units, 3 stories or less (326 cases)
	9. apartment house, 5 or more units, 4 stories or more (194 cases)
       10. apartment in a commercial structure (4 cases)
       11. other type (11 cases)

	question: X5


B3704 	FARM FAMILY.

	1. yes (64 cases)
	5. no (4039 cases)


              Rental Information

B3705 	AMOUNT OF RENT PER MONTH.
	Answered for all observations who are currently renting 
	(B3702 = 2).  All missing values were imputed.  Imputations
	were done with a regression for log-rent with a random term added.

	xxxx. dollars (19 to 3,000)
	   0. INAP, do not rent (2860 cases)

	question: C4


B3706 	UTILITIES INCLUDED.
	All missing values were imputed.  Imputations were done with
	conditional mean tables with randomization.

	1. includes utilities (190 cases)
	3. some utilities included (240 cases)
	5. does not include utilities (813 cases)
	0. INAP (2860 cases)

	question: C4a


B3707 	RENTED FURNISHED.
	All missing values were imputed.  Imputations were done with
	conditional mean tables with randomization.

	1. furnished (122 cases)
	3. partially furnished (68 cases)
	5. unfurnished (1053 cases)
	0. INAP (2860 cases)

	question: C4b

                 Home Value

B3708 	CURRENT VALUE OF HOME.
	Answered only if the home is owned (or buying) (B3702 = 1).
	All missing values were imputed.  The imputation was done by
	extrapolation from the purchase price or first mortgage value,
	or by regression for log-value with a random term added. The
	extrapolation was based on the purchase price and date and regional
	housing price indices appropriate for the location of the household.

	xxxxxxx. dollars (318 to 5,000,000)
	      0. INAP, do not own residence (1337 cases)

	question: C5


B3709 	NET EQUITY IN HOME EXCLUDING SECOND MORTGAGE.
	The current value of the home minus the amount outstanding on
	the first mortgage (B3708 - B4002).  This variable can be
	negative.  No missing values.

	xxxxxxx. dollars (-45,554 to 4,773,260)
	      0. INAP (1337 cases)


B3710 	NET EQUITY IN HOME.
	The current value of the home minus the amount outstanding on
	the first and second mortgage (B3708 - B4002 - B4024).  This
	variable can be negative.  No missing values.

	xxxxxxx. dollars (-45,554 to 3,494,570)
	      0. INAP (1337 cases)


             Purchase Information

B3711 	MONTH HOME PURCHASED.
	Answered only if the home is owned (or buying).  All missing
	values  were imputed.

	xx. month (1 to 12)
	-6. household inherited home and no date given (61 cases)
	 0. INAP (1337 cases)

	question: C6


B3712 	YEAR HOME PURCHASED.
	All missing values were imputed.

	xxxx. year (1900 to 1983)
	  -6. household inherited home and no date given (61 cases)
           0. INAP (1337 cases)

	question: C6


B3713 	PURCHASE PRICE OF HOME.
	All missing values were imputed.  Imputations were done
	extrapolating backward from current value using regional price
	indices or from the original amount borrowed on a mortgage.

	xxxxxxx. dollars (100 to 1,400,000)
	     -6. household inherited home (64 cases)
		      0. INAP (1337 cases)

	question: C7


B3714 	HOME APPRECIATION.
	This variable measures the purchase price of the home as a
	fraction of the current price (100 times B3713/B3708).  If the
	purchase price were 1/2 the current value, for example, then 
	B3714 would equal 50. No missing values.

	xxxx. percentage times 10 (2 to 8000)
          -6. household inherited home (64 cases)
           0. INAP (1337 cases)


B3715 	AVERAGE APPRECIATION.
	This variable measures the average existing home (single
	family) purchase prices in the quarter that the respondent
	bought their home as a fraction of the average existing home
	purchase price at the time of the survey.  These data are
	national averages as published by the National Association of
	Realtors.  These data only go back to 1963.  If prevailing
	prices at the time of the survey equal those when the home 
	was purchased then B3715 would equal 100.

	xxxx. percentage times 10 (254 to 1000)
          -6. household inherited home (64 cases)
          -9. household purchased home prior to 1963 (654 cases)
           0. INAP (1337 cases)


B3716 	AVERAGE REGIONAL APPRECIATION.
	This variable is identical to B3715 except that an annual
	index for each of the four census-defined regions of the
	country are used rather than a quarterly national index.  
	For high-income respondents B3716 will equal B3715.

	xxxx. percentage times 10 (235 to 1011)
	  -6. household inherited home (64 cases)
	  -9. household purchased home prior to 1963 (654 cases)
	   0. INAP (1337 cases)


                  Home Mortgage Data Summary

B4009 (1st) 	AMOUNT ORIGINALLY BORROWED FOR THOSE WITH
B4031 (2nd)	MORTGAGES.
		All missing values were imputed.  Imputations were made using
		purchase price information and regionally adjusted
		loan-to-value ratios.  For second mortgages
		imputations were derived from a regression of the
		ratio of second mortgages-to- home value with a random
		term added.  Data for the first mortgage is given in
                B4009 and for the second (if any) in B4031.  Other
		variables  reflecting other terms of mortgage loans 
		(payment size, payment frequency, due date, source of
                borrowing, interest rate, variable rate terms, and
		Federal guarantees) are given in the Home Mortgage Section.

		xxxxxxx. dollars (833 to 1,560,000)
		      0. none (2506/3929 cases)

	question: C10


B4002 (1st) 	AMOUNT OUTSTANDING ON MORTGAGE.
B4024 (2nd) 	This variable is directly answered if the mortgage
		does  not have regular payments; otherwise, it is
		computed from information on the mortgage terms.
		Computation details are given in the Home Mortgage
		Section.  The first mortgage is given in B4002 and the
		second (if any) in B4024.  No missing values.

		xxxxxxx. dollars (49 to 1,560,000)
		      0. none (2506/3929 cases)

	question: C11a

                        OTHER PROPERTIES

		 (A) First property
		 (B) Second property
		 (C) Third property
		 (D) Fourth property (from other asset section)

     Respondents were asked to list any real estate or properties that
the household owned excluding their principal residence and properties
owned by a business (these should be included in the Business
Section).  If properties were jointly owned with others
(e.g. partnerships) values for only the household's interest should be
given.  Data is given for up to three properties with values and
mortgage information given for each.  The fourth property has been
moved from the "other asset" and "other loan" section.

            Value of Aggregate Other Property

B3801 	AGGREGATE GROSS VALUE OF OTHER PROPERTIES.
	The total gross value of other properties (B3805 + B3822 +
	B3839 + B3856).  No missing values.

	xxxxxxxx. dollars (100 to 50,000,000)
	       0. none (3140 cases)


B3802 	AGGREGATE AMOUNT OUTSTANDING ON OTHER PROPERTY
	MORTGAGES.
	The total outstanding debt on other properties (B3806 + B3823
	+ B3840 + B3857). No missing values.

	xxxxxxx. dollars (94 to 8,070,427)
	      0. none (3660 cases)


B3803 	AGGREGATE NET EQUITY IN OTHER PROPERTIES.
	The total gross value minus the total outstanding debt (B3801
	- B3802).  No missing values.

	xxxxxxxx. dollars (-110,350 to 50,000,000)
	      -6. net equity is zero but own other property (1 case)
	       0. none (3140 cases)


                Type of Property

B3804 (A)	TYPE OF PROPERTY.
B3821 (B)	All missing values were imputed (except B3855) using
B3838 (C) 	conditional mean tables with randomization.
B3855 (D)
		10. farm or farmland -- any mention, ranch (68/13/5/0 cases)
		11. land only (lot, tract, acreage) (except 15);
		    building lots (319/100/40/0 cases)
		12. land (more than lot size) and seasonal residence
		    (except 14) (9/1/0/0 cases)
		13. land (more than lot size) and some other type of 
		    structure (9/4/0/0 cases)
		14. land (more than lot size) and trailer/mobile home 
		    (2/4/0/0 cases)
		21. seasonal house (winter/summer home; cottage;
		    hunting cabin) with lot (156/41/11/0 cases)
		22. trailer/mobile home used as a seasonal dwelling
		    (must be permanently set up on the site) with lot 
		    (7/1/0/0 cases)
		24. trailer/mobile home used as a seasonal dwelling
		    (must be permanently set up on the site) and some 
		    other structure with lot (1/1/0/0 cases)
		25. time-share ownership -- any (6/1/0/0 cases)
		30. house(s), duplex (204/66/24/0 cases)
		31. apartment building(s) (45/20/7/0 cases)
		32. business/commercial property (other than 30,31) 
		    (49/29/17/0 cases)
		33. apartment building and business property (1/0/1/0 cases)
		34. "rental property" -- NA which above; "rental
		    units" (21/9/4/0 cases)
		35. condominium (NA if for own use) (59/33/9/0 cases)
		97. other type (4/2/0/0 cases)
		-9. NA (for B3855 only, 0/0/0/19 cases)
		 0. INAP (3143/3778/3985/4084 cases)

	question: C21


                Value of Individual Other Property

B3805 (A)	GROSS VALUE.
B3822 (B)	All missing values were imputed.  The imputation used either
B3839 (C)	data from mortgage value (if given) or from regressions of
B3856 (D)	log-value with a random term added.

		xxxxxxxx. dollars (100 to 50,000,000)
		       0. INAP, no property (3143/3778/3985/4084 cases)

	question: C22


B3806 (A)	AMOUNT OUTSTANDING ON MORTGAGE OR DEBT ON PROPERTY
B3823 (B)	(IF ANY).
B3840 (C)	This variable is directly answered if the mortgage does not
B3857 (D)	have regular payments and for (D).  Otherwise it is calculated
		from the date the mortgage was taken out, the payment
		frequency, the number of riginal payments, the payment
		size (PAYMENT), balloon size (BALLOON), and the
		interest rate (INTEREST).  For a monthly payment mortgage, for
		example, the formula would be: 
		VALUE=PAYMENT*((1-1/(1+INTEREST/12)**PAYLEFT)/(INTEREST/12))
                +BALLOON/((1+INTEREST/12)**PAYLEFT) 
		where PAYLEFT is the number of payments left.  
		No missing values.

		xxxxxxx. dollars (94 to 7,823,941)
		      0. INAP, no mortgage on property (3720/3973/4058/4099 cases)

	question: C23d


B3807 (A)	NET EQUITY.
B3824 (B)	The gross value minus the amount outstanding on mortgages (if
B3841 (C)	any), (B3805, etc. minus B3806 etc.).  No missing values.
B3858 (D)

		xxxxxxxx. dollars (-83,260 to 50,000,000)
		      -6. net equity is zero but own property (1/0/1/0 cases)
		       0. INAP, no property (3143/3778/3985/4084 cases)


                       Date of Mortgage

B3808 (A)	MONTH LOAN TAKEN OUT.
B3825 (B)	Answered only if mortgage on property.  All missing values
B3842 (C)	were imputed.

		xx. month (1 to 12)
		 0. INAP, no mortgage on property (3720/3973/4058 cases)

	question: C23a


B3809 (A)	YEAR LOAN TAKEN OUT.
B3826 (B)	All missing values were imputed.
B3843 (C)
		xxxx. year (1956 to 1983)
		   0. INAP (3720/3973/4058 cases)

	question: C23a


B3810 (A)	MONTH LOAN DUE.
B3827 (B)	The variable is directly answered if the mortgage does not
B3844 (C)	have regular payments.  Otherwise it is calculated
		from the date the mortgage was taken out, the payment
		frequency, and the number original payments.  If the 
		calculated due date is before the survey date, the
		month due is coded as -9.

		xx. month (1 to 12)
	        -9. NA, due prior to current date for regular payment 
		    mortgages (15/5/3 cases)
		 0. INAP (3720/3973/4058 cases)

	question: C23e


B3811 (A)	YEAR LOAN DUE.
B3828 (B)	The variable is directly answered if the mortgage does not
B3845 (C)	have regular payments.  Otherwise it is calculated
		from the date the mortgage was taken out, the payment
		frequency, and the number original payments.  If the 
		calculated due date is before the survey date, the
		year due is coded as -9.

		xxxx. year (1983 to 2019)
	          -9. NA, due prior to current date for regular 
		     payment mortgages. (15/5/3 cases)
		   0. INAP (3720/3973/4058 cases)

	question: C23e


B3812 (A)	ORIGINAL MATURITY IN MONTHS.
B3829 (B)	Calculated from the date the mortgage was taken out and the
B3846 (C)	date it is due.  When added to the date the loan was
		taken out this should equal the due date, except for
		loans past due.  No missing values for regular payment
		mortgages.

		xxx. months (4 to 480)
		 -9. NA (10/5/2 cases)
		  0. INAP (3720/3973/4058 cases)


                  Amount Borrowed on Mortgage

B3813 (A)	AMOUNT BORROWED
B3830 (B)	All missing values were imputed.  Imputations were made using
B3847 (C)	sample-generated loan-to-value ratios adjusted for the
		date of the mortgage and estimates of the value of the
		property.

		xxxxxxxx. dollars (1,000 to 15,000,000)
		       0. INAP (3720/3973/4058 cases)

	question: C23b


                        Payments/interest

B3814 (A)	SIZE OF EACH PAYMENT.
B3831 (B)	Answered if the mortgage has regular payments (B3815, B3832,
B3848 (C)	or B3849 equals 5 or 6).  All missing values were
		imputed.  If all other terms were known, missing
		payment size terms could be derived assuming an
		interest rate prevailing at the date of the mortgage.

		xxxxxx. dollars (16 to 155,773)
		    -6. no regular payments (21/8/5 cases)
		     0. INAP (3720/3973/4058 cases)

	question: C23c


B3815 (A)	FREQUENCY OF PAYMENTS.
B3832 (B)	All missing values were imputed.
B3849 (C)
		5. monthly (330/110/36 cases)
		6. yearly (32/12/4 cases)
		8. no regular payments (21/8/5 cases)
		0. INAP (3720/3973/4058 cases)

	question: C23c


B3816 (A)	ORIGINAL NUMBER OF PAYMENTS.
B3833 (B)	Answered only if regular payments (B3815, B3832, or B3849
B3850 (C)	equals 5 or 6).  All missing values were imputed.

		xxx. number (4 to 480)
		  0. no regular payments, INAP (3741/3981/4063 cases)

	question: C25


B3817 (A)	NUMBER OF PAYMENTS LEFT.
B3834 (B)	Calculated from the original number of payments, the date of
B3851 (C)	the mortgage, and the current date.  If the mortgage
		was determined to be overdue, the number of payments 
		left was imputed.  No missing values.

		xxx. number (1 to 422)
		  0. no regular payments, INAP (3741/3981/4063 cases)


B3818 (A)	AMOUNT OF BALLOON PAYMENT (IF ANY).
B3835 (B)	Answered only if regular payments.  All missing values were
B3852 (C)	imputed.

		xxxxxxx. dollars (97 to 1,300,000)
		      0. none, no regular payment, INAP (4069/4093/4098 cases)

	question: C26,C26a


B3819 (A)	ANNUAL RATE OF INTEREST.
B3836 (B)	Answered directly for all mortgages with no regular payments.
B3853 (C)	If the mortgage has regular payments and all payment
		terms were given, the interest rate was solved for
		from the implied repayment pattern.  In cases where
		this was inconsistent with the interest rate given by
		respondent, the solved for rate was generally used.
		If the interest rate was missing and other payment
		terms as well, the average conventional mortgage rate,
		as reported in the Federal Reserve Bulletin for the
		date of the mortgage (month and year), was
		assigned. Yearly averages for these terms were:
		1971=7.6%, 1972=7.45%, 1973=7.78%, 1974=8.71%,
		1975=8.75%, 1976=8.76%, 1977=8.80%, 1978=9.30%,
		1979=10.48%, 1980=12.12%, 1981=14.16%, 1982=14.47%,
		1983=12.20%.

		xxx. percentage rate times 10 (14 to 210)
		 -6. zero (1/0/0 cases)
		  0. INAP (3720/3973/4058 cases)

	question: C28

                       Source of Mortgage

B3820 (A)	SOURCE OF MORTGAGE.
B3837 (B)	All missing values were imputed.  Imputations were made using
B3854 (C)	the financial services questions (K31f, K36a-c) and
		conditional mean tables with randomization.

		1. commercial bank (114/42/16 cases)
		2. savings and loan association or savings bank 
		   (123/43/12 cases)
		3. credit union (4/1/1 cases)
		4. finance or loan company (4/3/0 cases)
		5. store or dealer (1/0/0 cases)
		6. brokerage company or money market mutual fund (1/0/1 cases)
		7. insurance company (4/0/0 cases)
		8. mortgage company (24/10/3 cases)
		9. contractor or developer (24/7/2 cases)
	       10. prior owner (60/18/7 cases)
	       15. employer (1/1/0 cases)
	       16. friend or relative (not codable above) (5/1/1 cases)
	       17. individual lender (not codable above) (2/0/0 cases)
	       21. real estate investment company (3/0/0 cases)
	       24. federal government: FMHA, SBA, VA, FHA, HUD, NDSL 
		   (9/2/1 cases)
	       25. other federal government, IRS (1/0/0 cases)
	       93. farm related lenders (not codable above) (1/0/0 cases)
	       96. other combinations (1/1/0 cases)
	       97. other source (1/1/1 cases)
		0. INAP (3720/3973/4058 cases)

	question: C28

                     VEHICLES

		(A) Vehicle one
		(B) Vehicle two
		(C) Vehicle three


               Number of Vehicles

B3901 	NUMBER OF VEHICLES OWNED.
	All missing values were imputed.

	1. one (1487 cases)
	2. two (1363 cases)
	3. three (426 cases)
	4. four (158 cases)
	5. five or more (75 cases)
	0. none (594 cases)

	question: E2


B3902 	TOTAL GROSS MARKET VALUE OF VEHICLES.
	The sum of the gross market value of the three vehicles listed
	in the Vehicle Section (B3906 + B3915 + B3924) plus estimates
	of other vehicle value if more than three vehicles are owned.
	Values for the 4th and 5th vehicles were estimated from loan
	balances if the vehicles were financed (these loans would appear in
	the other loan categories and be identifiable as vehicle loans from
	the purpose of the loan).  Some other vehicles were listed in the
	"other asset" section, and their values included here.  Finally, if
	other vehicles were owned but not listed nor financed, the value for
	each was estimated as 75% (for the 4th vehicle) and 65% (for the 5th
	vehicle) of the value of the third vehicle.  These percentages are
	extrapolations from the calculated relationships between the observed
	3 vehicles. All missing values were imputed.

	xxxxxx. dollars (68 to 109,337)
	     0. none (no vehicles) (594 cases)


                 Type of Vehicle

B3903 (A)	GENERAL CLASSIFICATION.
B3912 (B)
B3921 (C)	1. car (2987/1447/450 cases)
		2. van (96/80/21 cases)
		3. pickup (354/403/140 cases)
		4. motorhome (10/12/17 cases)
		5. jeep (54/61/18 cases)
		6. truck (except pickup) (8/17/13 cases)
		7. other (0/2/0 cases)
		0. INAP, no vehicle (594/2081/3444 cases)

	question: E3


B3904 (A)	MAKE AND MODEL.
B3913 (B)
B3922 (C)		low-price domestic
		111. Chevrolet Vega (13/14/4 cases)
		112. Pontiac Astre (0/1/0 cases)
		113. Chevrolet Chevette (57/17/4 cases)
		116. Chevrolet Nova; Chevy II (56/28/11 cases)
		117. Pontiac Ventura; Phoenix (19/5/1 cases)
		118. Oldsmobile Omega (14/9/0 cases)
		119. Buick Skylark (1975 to date); Apollo (38/17/1 cases)
		121. Ford Pinto; Escort/EXP (68/24/10 cases)
		122. Mercury Bobcat; Lynx/LN7 (12/6/0 cases)
		125. Ford Falcon (prior to 1970) (2/5/1 cases)
		126. Ford Fairmont; Tempo; Maverick (67/28/12 cases)
		127. Mercury Comet (1971 to date); Zephyr (16/7/1x cases)
		128. Ford Granada (34/21/2 cases)
		129. Mercury Monarch (11/9/2 cases)
		131. Dodge Omni (18/2/0 cases)
		132. Plymouth Horizon; TC3 (24/7/2 cases)
		135. Plymouth Duster; Scamp; Valiant; Signet (28/15/8 cases)
		136. Dodge Dart; Demon; Swinger (23/16/5 cases)
		137. Plymouth Reliant; Volare (44/17/2 cases)
		138. Dodge Aires; Aspen  (29/6/2 cases)
		141. American Motors Gremlin (5/4/1 cases)
		142. American Motors (other or NA model) (1/0/2 cases)
		145. American Motors Hornet; Sportabout; Concord  
		     (22/10/5 cases)
		146. American Motors Rambler; American; Rogue  (3/3/3 cases)
		147. American Motors Pacer (8/2/1 cases)
		148. American Motors Spirit (9/2/1 cases)
		149. American Motors Eagle (2/4/0 cases)
		159. Other low-priced domestic cars (0/0/1 cases)

		inexpensive and specialty cars domestic
		211. Chevrolet Camaro; Z28 (40/24/7 cases)
		212. Pontiac Trans Am; Firebird; Formula (17/12/5 cases)
		213. Chevrolet Monza 2 + 2/Cavalier (27/6/2 cases)
		214. Buick Skyhawk (5/1/0 cases)
		215. Oldsmobile Starfire/Firenze (4/1/1 cases)
		216. Pontiac J-2000; Sunbird (13/5/0 cases)
		217. Chevrolet Citation; Pontiac Fiero (41/6/2 cases)
		221. Ford Mustang; Mustang II; Mercury Capri (1979 to
		     date)  (58/41/15 cases)
		222. Mercury Cougar (prior to 1974) (2/4/2 cases)
		231. Plymouth Barracuda (1/0/2 cases)
		232. Dodge Challenger (prior to 1978) (0/2/0 cases)
		241. American Motors Javelin; Amx (2/2/1 cases)
		311. Chevrolet Malibu/Celebrity; Laguna; Chevelle 
		     (88/34/8 cases)
		312. Pontiac 6000; Safari; GTO; LeMans/Bonneville (82
		     to present); Tempest (28/15/5 cases)
		313. Oldsmobile Cutlass/Supreme/Ciera; F-85; 442;
		     Vista Cruiser (125/50/9 cases)
		314. Buick Century; Skylark (prior to 1975); Regal;
		     Special; Sport Wagon; Grand Sport  (82/29/8 cases)
		316. Chevrolet Monte Carlo (76/27/7 cases)
		317. Pontiac Grand Prix (39/16/7 cases)
		321. Ford Falcon (1970 to date); Futura; Fairlane; LTD
		     II; Torino or Grand Torino (33/21/13 cases)
		322. Mercury Caliente; Capri (prior to 1968); Comet
		     (prior to 1970); Cyclone; Montego; Villager;
		     Voyager (7/4/1 cases)
		323. Mercury Cougar (1974 to date); X-R7 (16/7/3 cases)
		324. Ford Thunderbird (1977 to date); Elite; Torino
		     Elite (34/7/3 cases)
		331. Plymouth Belvedere; GTX; Road Runner; Satellite 
		     (4/6/4 cases)
		332. Dodge Charger (except 1966-1970); Magnum XE;
		     Coronet (10/5/0 cases)
		333. Dodge Charger (1966-1970 only) (1/0/0 cases)
		334. Chrysler Cardoba (19/8/1 cases)
		335. Dodge Diplomat (prior to 82)/400 (2/2/1 cases)
		336. Dodge Mirada; Chrysler LeBaron (11/5/0 cases)
		341. American Motors Marlin; Matador; SST; Rebel; 
		     Classic (4/1/2 cases) medium-priced domestic
		411. Chevrolet (other or NA model); Bel Air; Biscayne;
		     Caprice; Impala (194/97/24 cases)
		421. Ford (other or NA model); Country Sedan; Custom;
		     Galaxie; LTD; Squire Ranch Wagon; XL (144/70/25 cases)
		431. Plymouth (other or NA model); Fury; VIP (39/22/6 cases)
		438. Dodge St. Regis/Diplomat (1982 to present) (2/0/0 cases)
		511. Pontiac (other or NA model); Bonneville;
		     Catalina; Executive; Grand Am; Grandville; Star
		     Chief (67/32/21 cases)
		512. Oldsmobile (other or NA model); Delmont; Delta;
		     88; Jetstar (32/25/14 cases)
		513. Buick (other or NA model); Estate Wagon; Wildcat;
		     LeSabre  (62/37/6 cases)
		521. Mercury (other or NA model); Colony Park;
		     Commuter; Marauder; Marquis; Montclair; Monterey;
		     Park Lane (32/18/5 cases)
		531. Dodge (other or NA model); Monaco; Polara (21/17/3 cases)
		532. Chrysler (other or NA model); Newport; Town and
		     Country; Royal (23/21/1 cases)
		541. American Motors Ambassador; Brougham; DPL (2/0/2 cases)
		559. Other medium-priced domestic cars; Checker;
		     Desoto; (0/1/0 cases)

		high-priced domestic
		611. Oldsmobile 98; Regency (29/12/2 cases)
		612. Buick Electra; Park Avenue; 225 Limited (24/14/4 cases)
		613. Cadillac (other or NA model); Sedan de Ville; 
		     Coupe de Ville (80/32/9 cases)
		621. Lincoln (other or NA model); Town Car (10/5/0 cases)
		631. Chrysler Imperial; New Yorker; Brougham (19/6/4 cases)
		711. Chevrolet Corvette (7/5/6 cases)
		712. Oldsmobile Toronado (8/3/2 cases)
		713. Buick Riviera (15/9/2 cases)
		714. Cadillac Biarritz; Eldorado  (22/8/4 cases)
		715. Cadillac Seville (24/15/4 cases)
		716. Cadillac Cimmaron (1/1/0 cases)
		721. Lincoln Continental Mark III/IV/V (21/16/1 cases)
		722. Ford Thunderbird (prior to 1977) (6/6/4 cases)
		723. Lincoln Versailles (2/2/0 cases)

		foreign
		861. VW; Rabbit; Dasher/Quantum; Jetta; Scirroco (82/66/23 cases)
		862. Toyota (112/57/14 cases)
		863. Datsun (Nissan); Sentra (95/48/10 cases)
		864. Mercury Capri (1970 to 1978) (2/6/1 cases)
		865. Mazda (36/5/2 cases)
		866. Fiat (9/8/0 cases)
		867. Opel; Buick Opel; Manta, Mant Luxus (9/4/1 cases)
		868. Audi; Fox (14/12/1 cases)
		869. Volvo (28/15/3 cases)
		871. Honda; Civic; Accord (86/29/5 cases)
		872. Dodge Colt; Plymouth Cricket (12/7/2 cases)
		873. Mercedes (39/32/12 cases)
		874. MG (3/8/3 cases)
		875. Porsche (6/2/3 cases)
		876. Suburu (32/6/0 cases)
		877. Triumph (1/1/4 cases)
		878. BMW (22/11/5 cases)
		879. Saab (7/1/2 cases)
		881. Renault (10/2/1 cases)
		882. Peugeot (4/5/2 cases)
		883. Jaguar (4/3/2 cases)
		884. Alfa Romeo (1/2/2 cases)
		885. Austin (1/1/1 cases)
		887. Other low-priced imports; Cortina (0/0/1 cases)
		888. Other medium-priced imports (3/0/0 cases)
		889. Other high-priced imports; Rolls Royce;
		     Lamborghini, Ferrari; DeLorean
                        (4/4/3 cases)
		891. Plymouth Arrow (3/0/0 cases)
		892. Citroen (0/1/1 cases)
		893. Ford Fiesta (7/0/0 cases)
		894. Plymouth Sapporo (1/2/0 cases)
		895. Dodge Challenger (1978 to date) (2/0/0 cases)
		896. Plymouth Champ; Isuzu Impulse, Imark (7/1/0 cases)

		vans, utility, and trucks
 		910. Import Van; VW bus (8/5/0 cases)
		911. Chevrolet or GMC van; Sportvan (Rally-windows); 
		     Greennbrier; Vandura (no windows) (41/32/8 cases)
		912. Ford Van; Club Wagon (windows); Econoline (no
		     windows)  (21/22/10 cases)
		913. Dodge Van; Sportsman; Voyager (windows) (26/21/3 cases)
		920. Import Utility; Toyota; Land Cruiser; VW Thing 
		     (3/3/1 cases)
		921. Chevrolet or GMC Utility vehicle; Blazer; Jimmy 
		     (16/11/5 cases)
		922. Ford Utility; Bronco (6/7/2 cases)
		923. Dodge Utility; Ramcharger; Trail Duster (2/3/0 cases)
		924. Jeep Utility; CJ-5; CJ-7; Cherokee (15/15/4 cases)
		925. International Harvestor Utility (Scout) (1/4/1 cases)
		931. Chevrolet or GMC Suburban (6/3/1 cases)
		934. Jeep Suburban; Wagoneer (11/5/5 cases)
		935. International Harvestor Suburban (Travelall) (2/0/0 cases)
		940. Import Pickup; Luv; Courier; Toyota; Datsun; 
		     VW pickup; Dodge Ram/D50; Plymouth Arrow Pickup;
		     Suburu "Brat"; Isuzu (54/35/10 cases)
		941. Chevrolet or GMC Pickup; Silverado (118/155/44 cases)
		942. Ford Pickup; Ranger; F100 (117/139/53 cases)
		943. Dodge Pickup; Rom Pickup (15/26/10 cases)
		944. Jeep Pickup (2/5/1 cases)
		945. International Harvestor Pickup (1/4/5 cases)
		947. Other pickup not codable above or NA type (1/6/0 cases)
		951. Chevrolet or GMC Sedan Pickup (El Camino, Sprint)
		     (14/13/5 cases)
		952. Ford Sedan Pickup; Ranchero (7/4/4 cases)
		961. GMC Motorhome (0/2/3 cases)
		963. Dodge Motor Home (5/1/4 cases)
		966. Motorhome other than GMC or Dodge, or NA type; 
		     Winnebago (5/9/10 cases)
		971. Other Chevrolet or GMC truck -- NA type (2/7/3 cases)
		972. Other Ford truck -- NA type (1/5/5 cases)
		973. Other Dodge truck -- NA type (2/1/0 cases)
		974. Other Jeep -- NA type; Willys (5/15/4 cases)
		975. Other International Harvestor truck -- NA type 
		     (1/0/1 cases)
		979. Other truck, NA type (2/4/4 cases)
		991. Chevrolet compact pickup; S-10; GMC S-1500 (7/6/2 cases)
		992. Ford Compact pickup; Ranger (1982-present) (4/5/1 cases)
		993. Dodge compact pickup; Rampage (1/0/0 cases)
		997. other vehicle (1/3/0 cases)
		998. DK make -- automobile (4/2/1 cases)
		999. NA make -- automobile (8/11/6 cases)
		  0. INAP (594/2081/3444 cases)

	question: E4


B3905 (A)	MODEL YEAR.
B3914 (B)	All missing values were imputed.  The model year was imputed
B3923 (C)	from the purchase price and information on prevailing new and used car prices
                taken from the N.A.D.A. price listings of various years.

		xxxx. year (1928 to 1984)
		   0. INAP (594/2081/3444 cases)

	question: E5


                                           Market Value

B3906 (A)	GROSS CURRENT MARKET VALUE OF VEHICLE.
B3915 (B)	This variable was computed primarily from the April 1983
B3924 (C)	N.A.D.A. "blue book" (eastern edition) average retail
		value for the given model make and year for cars 1976
		or newer.  For cars with model years between 1966 and
		1975 the May 1983 National Edition older car
		N.A.D.A. values were used. Extrapolations were made
		for cars older than 1966.  The actual purchase price
		was used for cars of the 1983 model year, or for those
		purchased within 6 months of the survey.  For some
		cars with higher than average purchase prices from
		years prior to 1983 the market value was determined by
		deflating the purchase price by the average percentage
		depreciation to 1983 for a car of that type and value.
		For some cars with little given information, the
		market value was imputed from a regression.  No missing values.

		xxxxx. dollars (42 to 61,387)
		     0. INAP (594/2081/3444 cases)


B3907 (A)	NET EQUITY IN VEHICLE.
B3916 (B)	The market value minus the amount outstanding on loans (B3906,
B3925 (C)	B3915, or B3924 minus B4272, B4292, or B4312).  No
		missing values.

		xxxxx. dollars (-6,171 to 61,387)
		   -6. net equity is zero but own vehicle (2/0/0 cases)
		    0. INAP (594/2081/3444 cases)


                            Purchase Information

B3908 (A)	TYPE OF PURCHASE.
B3917 (B)	A calculated variable based on the type of vehicle, year of
B3926 (C)	purchase, and the model year.  This variable is the
		same as  B4271, B4291, or B4311 if a loan is
		outstanding against the car.  No missing values.

		1. new car when purchased (1358/574/144 cases)
		2. used car when purchased (1599/858/300 cases)
		3. gift car, -- NA used or new (31/15/6 cases)
		4. new truck, van, jeep, or motorhome when purchased 
		   (218/166/46 cases)
		5. used truck, van, jeep, or motorhome when purchased 
		   (300/408/160 cases)
		6. gift truck, van, jeep, or motorhome -- NA used or
		   new (3/1/3 cases)
		0. INAP (594/2081/3444 cases)


B3909 (A)	MONTH OF PURCHASE.
B3918 (B)	This variable is the same as B4273, B4293, or B4313 if a loan
B3927 (C)	is outstanding against the car.  All missing values
		were imputed.

		xx. month (1 to 12)
		-6. household given or inherited vehicle and date
		    unknown (34/16/9 cases)
		 0. INAP (594/2081/3444 cases)

	question: E6


B3910 (A)	YEAR OF PURCHASE.
B3919 (B)	This variable is the same as B4274, B4294, or B4314 if a loan
B3928 (C)	is outstanding against the car.  All missing values
		were imputed.  Imputed from  the cost of purchase,
		model year, and information on prevailing new and used
		car prices taken from the N.A.D.A. "blue books" and
		Edmonds new car price books of various years.

		xxxx. year (1942 to 1983)
		  -6. household given or inherited vehicle and date
		      unknown (34/16/9 cases)
		   0. INAP (594/2081/3444 cases)

	question: E6


B3911 (A)	COST OF PURCHASE.
B3920 (B)	This variable is the same as B4286, B4306, or B4326 if a loan
B3929 (C)	is outstanding against the car.  All missing values
		were imputed.  For vehicles with loans against them
		the cost of purchase was imputed from loan-to-value
		ratios for some used cars.  For new cars, the
		manufacturer's suggested new car price of the model
		make and year taken from the N.A.D.A. and Edmonds
		books was used.  For used cars with no loans, average
		calculated depreciation schedules for cars bought in
		that year were used to impute the purchase price from
		the current value.  In other cases the prevailing used
		car average retail prices at the time of purchase was used.

		xxxxx. dollars (25 to 75,000)
		   -6. gift or inheritance (63/41/19 cases)
		    0. INAP (594/2081/3444 cases)

	question: E7


B4278 (A)	AMOUNT FINANCED FOR THOSE WITH BALANCES STILL OWED.
B4298 (B)	All missing values were imputed.  Imputations were made from
B4318 (C)	purchase price information and sample loan-to-value
		tables.  Some imputations were made using other loan
		terms.  Other variables reflecting the terms of the
		loans (payment size, payment frequency, date due,
		source of borrowing, and interest rate) are detailed
		in the Consumer Loan Section.

		xxxxx. dollars (63 to 33,000)
		    0. none, INAP (3072/3866/4061 cases)

	question: E9


B4272 (A)	AMOUNT OUTSTANDING ON THE LOAN.
B4292 (B)	This variable gives the amount still owed (if any) on the
B4312 (C)	loan used to purchase the vehicle.  The amount
		outstanding was given directly in some cases, but in
		most instances it was computed from information on the
		terms of the loans.  The exact methods used and
		variables reflecting the terms of the loans (payment
		size, payment frequency, date due, source of
		borrowing, and interest rate) are detailed in the
		Consumer Loan Section.  No missing values.

		xxxxx. dollars (16 to 29,980)
		    0. none, INAP (3072/3866/4061 cases)

	question: E10a


                         HOME MORTGAGE DATA

		        (A) First mortgage loan
		        (B) Second mortgage loan

     If the household owns their residence (or is buying) data are
given for up to two mortgages (or land contracts) against the
property.  The "first" mortgage is self-defined by the respondent and
may not be a legal first mortgage.  Land contracts will be listed as
first mortgages.  Second mortgages are also self-defined.  Other loans
used to purchase the property are listed in the Consumer Loan Section
 under categories (M) and (N).

                       Housing Mortgage Totals

B4001 	HOUSE MORTGAGE TOTAL.
	The sum of first and second mortgage loans on household's
	primary residence (B4002 + B4024).  No missing values.

	xxxxxxx. dollars (95 to 1,786,740)
	      0. none (2506 cases)


               Amount Owed on Individual Mortgage

B4002 (A) 	AMOUNT OUTSTANDING ON MORTGAGE.
B4024 (B) 	The variable is directly answered if the mortgage does
		not have regular payments.  Otherwise it is calculated
		from the date the mortgage was taken out, the payment
		frequency, the number of original payments, the
		payment size (PAYMENT), balloon size (BALLOON), and
		the interest rate (INTEREST).  For a monthly payment 
		mortgage, for example, the formula would be:
		VALUE=PAYMENT*((1-1/(1+INTEREST/12)**PAYLEFT)/(INTEREST/12))
                +BALLOON/((1+INTEREST)**PAYLEFT)
		where PAYLEFT is the number of payments left. 
		No missing values.

		xxxxxxx. dollars (49 to l,560,000)
		      0. INAP, do not have a mortgage (2506/3929 cases)

	question: C11a


                      Date of Mortgage

B4003 (A) 	MONTH MORTGAGE TAKEN OUT OR REFINANCED.
B4025 (B) 	All missing values were imputed.

		xx. month (1 to 12)
		 0. INAP (2506/3929 cases)

	question: C9


B4004 (A)	YEAR MORTGAGE TAKEN OUT OR REFINANCED.
B4026 (B)	All missing values were imputed.

		xxxx. year (1948 to 1983)
		   0. INAP (2506/3929 cases)

	question: C9


B4005 (A)	MONTH MORTGAGE DUE.
B4027 (B)	The variable is directly answered if the mortgage does
		not have regular payments. Otherwise it is calculated
		from the date the mortgage was taken out, the payment
		frequency, and the number of original payments.  If
		the calculated due date is before the survey date,  
		the month due is coded as -9.

		xx. month (1 to 12)
	        -9. NA, due prior to current date for regular payment 
		    mortgages (12/5 cases)
		 0. INAP (2506/3929 cases)

	question: C11b


B4006 (A)	YEAR MORTGAGE DUE.
B4028 (B)	The variable is directly answered if the mortgage does
		not have regular payments. Otherwise it is calculated
		from the date the mortgage was taken out, the payment
		frequency, and the number of original payments.  If
		the calculated due date is before the survey date, 
		the year due is coded as -9.

		xxxx. year (1983 to 2016)
	          -9. NA, due prior to current date for regular
		      payment mortgages (12/5 cases)
		   0. INAP (2506/3929 cases)

	question: C11b


B4007 (A)	ORIGINAL MATURITY IN MONTHS.
B4029 (B)	Calculated from the date mortgage was taken out and
		the date the mortgage is due. When added to the date
		the loan was taken out this should equal the due date,
		except for loans past due.  No missing values for
		regular payment mortgages.

		xxx. months (12 to 480)
	         -9. NA (6/2 cases)
		  0. INAP (2506/3929 cases)


B4008 (A)	MORTGAGE ASSUMED FROM PREVIOUS OWNER/LAND CONTRACT.
B4030 (B)	All missing values were imputed.

		1. mortgage assumed (235/10 cases)
		2. land contract issued by former owner (25/0 cases)
		5. neither assumed or land contract (1337/164 cases)
		0. INAP (2506/3929 cases)

	question: C8a/C8e


                    Amount Borrowed on Mortgage

B4009 (A)	AMOUNT BORROWED.
B4031 (B)	All missing values were imputed.  Imputations were
		made from purchase price information using regionally
		adjusted loan-to-value ratios.  For second mortgages,
		imputations were derived from a regression of the
		ratio of second mortgages-to- home value with a random
		 term added.

		xxxxxxx. dollars (833 to 1,560,000)
		      0. INAP (2506/3929 cases)

	question: C10


                      Payments/interest

B4010 (A)	SIZE OF EACH PAYMENT.
B4032 (B)	The amount of each payment excluding taxes and
		insurance.  Answered only if the mortgage has regular
		payments (B4011 or B4033 equals 5 or 6).  All missing
		values were imputed.  Payments were adjusted to
		exclude taxes and insurance components. For mortgages
		with all other terms known, the payment could be
		derived if it was missing.

		xxxxxx. dollars (22 to 176,280)
		    -6. no regular payment (11/8 cases)
		     0. INAP (2506/3929 cases)

	question: C11


B4011 (A)	FREQUENCY OF PAYMENTS.
B4033 (B)	All missing values were imputed.

		5. monthly (1563/159 cases)
		6. yearly (23/7 cases)
		8. no regular payments (11/8 cases)
		0. INAP (2506/3929 cases)

	question: C11


B4012 (A)	ORIGINAL NUMBER OF PAYMENTS.
B4034 (B)	All missing values were imputed.

		xxx. number (4 to 480)
		  0. no regular payments, INAP (2517/3937 cases)

	question: C12


B4013 (A)	NUMBER OF PAYMENTS LEFT.
B4035 (B)	Calculated from original number of payments, the date
		the mortgage was taken out, and the current date.  If
		the mortgage was determined to be overdue, the number 
		of payments left was imputed.

		xxx. number (1 to 404)
		  0. no regular payments, INAP (2517/3937 cases)


B4014 (A)	AMOUNT OF BALLOON PAYMENT.
B4036 (B)	All missing values were imputed.

		xxxxxxx. dollars (100 to 1,560,000)
		      0. none, no regular payment, INAP (4058/4082 cases)

	question: C14,C14a


B4015 (A)	ANNUAL RATE OF INTEREST.
B4037 (B)	Answered directly for all mortgages with no regular
		payments.  If the mortgage has regular payments and
		all payment terms were given, the interest rate was
		solved for  from the implied repayment pattern.  In
		cases where this was inconsistent with the interest
		rate given by respondent, the solved for rate was
		generally used.  If the interest rate was missing and
		other payment terms as well, the average conventional
		mortgage rate, as reported in the Federal Reserve
		Bulletin for the date of the mortgage (month and
		year), was assigned. Yearly averages for these terms
		were: 1971=7.6%, 1972=7.45%, 1973=7.78%, 1974=8.71%,
		1975=8.75%, 1976=8.76%, 1977=8.80%, 1978=9.30%
		1979=10.48%, 1980=12.12%, 1981=14.16%, 1982=14.47%,
		 1983=12.20%.

		xxx. percentage rate times 10 (10 to 260)
		 -6. zero (4/0 cases)
		  0. INAP (2506/3929 cases)

	question: C15


                    Source of Mortgage

B4016 (A)	SOURCE OF MORTGAGE.
B4038 (B)	All missing values were imputed.  Imputations were
		made using the financial services questions (K31f,
		K36a-c)  and conditional mean tables with randomizations.

		1. commercial bank (433/61 cases)
		2. savings and loan association or savings bank (603/42 cases)
		3. credit union (12/6 cases)
		4. finance or loan company (33/26 cases)
		5. store or dealer (2/0 cases)
		6. brokerage company or money market mutual fund (2/0 cases)
		7. insurance company (26/0 cases)
		8. mortgage company (243/8 cases)
		9. contractor or developer (14/1 cases)
	       10. prior owner (102/17 cases)
	       15. employer (1/3 cases)
	       16. friend or relative (not codable above) (14/5 cases)
	       17. individual lender (not codable above) (6/2 cases)
	       21. real estate investment company (8/0 cases)
	       23. local, county, state government (12/0 cases)
	       24. federal government: FMHA, SBA, VA, FHA, HUD, NDSL 
		   (69/1 cases)
	       25. other federal government, IRS (9/0 cases)
	       30. church (1/0 cases)
	       93. farm related lenders (not codable above) (3/1 cases)
	       97. other source (4/1 cases)
		0. INAP (2506/3929 cases)

	question: C16


                      Mortgage Guarantee

B4017 (A)	MORTGAGE GUARANTEED BY FEDERAL AGENCY.

		1. FHA (224 cases)
		2. VA (156 cases)
		3. federal land bank (8 cases)
		4. FNMA (12 cases)
		7. other agency (35 cases)
	       -8. DK (14 cases)
	       -9. NA (13 cases)
		0. INAP, mortgage not guaranteed (3641 cases)

	question: C8b


B4018 (A,1st) 	REASON FOR CHOOSING FEDERAL GUARANTEE.
B4019 (A,2nd) 	Answered only if respondent has a mortgage guaranteed
		by a federal agency (B4017 = 1 - 7).  The first
		variable is the first reason for choosing, and the
		second is a second reason (if one is given).

		credit terms/cost of loan
		1. interest rate (151/22 cases)
		4. finance charges (13/5 cases)
		5. amount of the down payment (47/13 cases)
		6. size of monthly payment (7/8 cases)
		8. longer contract (3/3 cases)
		9. easier to get credit, requires less
		   collateral/information, less stringent rules, no 
		   red tape, approval faster (4/2 cases)
	       10. availability of credit insurance, offer/give credit
		  insurance, lower cost of credit insurance (1/0 cases)
	       12. handling of early payments -- low/no penalty for
		   pre-payments; rebate/dismissal of interest when pay
		   off early (1/0 cases)
	       20. amount of money that they will let me borrow; what
		   my credit limit was (1/0 cases)
	       25. credit terms/arrangements -- NA what; 
		   "affordable terms" (25/3 cases)
	       26. give the best (better) deal -- NA how (6/3 cases)
	       29. other credit terms or cost of loan (3/1 cases)

		characteristics of credit institution
	       31. good reputation -- reputable; well known; honest;
		   stable reliable; experienced; professional (2/0 cases)
	       41. availability of credit; they would lend me the
	           money; I could qualify for the loan; only place I
		   could get the loan (32/7 cases)
	       49. other characteristics of credit institution (0/1 case)
		   miscellaneous
	       80. no choice; only source; "only place in town" (8/0 cases)
	       81. familiarity; household has previous/good experience
		   dealing with institution; has other accounts there,
		   been treated well/ fairly in past; am credit union
		   member (3/1 cases)
	       83. recommended/ arranged by dealer/store/contractor 
		   (12/0 cases)
	       84. recommended by others (9/1 cases)
	       88. convenient/easy -- nec (9/0 cases)
	       89. other miscellaneous (10/2 cases)
	       90. reason related to item purchased -- assumed
		   mortgage (45/4 cases)
	       91. like/trust them -- NA why (1/1 cases)
	       -8. DK (23/0 cases)
	       -9. NA (19/0 cases)
		0. INAP, no second mention (3668/4026 cases)

	question: C8c


                  Variable Rate First Mortgage

B4020 (A)	DOES THE RATE DEPEND ON ANOTHER RATE OR SET TO CHANGE.
		Answered only if respondent has a variable rate mortgage.
		Thus, a code of zero means the first mortgage does not
		have a variable interest rate.  No imputations.

		1. mortgage rate already set to change to a known
		   amount (23 cases)
		5. mortgage rate changes will depend on another 
		   interest rate (76 cases)
	       -8. DK (26 cases)
	       -9. NA (3 cases)
		0. INAP, no variable rate mortgage (3975 cases)

	question: C17,C17a


B4021 (A)	ON WHAT RATE DOES THE CHANGE DEPEND?
	Answered only if mortgage rate changes will depend on another 
	interest rate (B4020 = 5).  No imputations.

	1. consumer price index, CPI (1 case)
	3. prime rate (27 cases)
	4. treasury bill rate, "t bill rate" (6 cases)
	5. "current rate" or "going rate" -- NA rate type (8 cases)
	7. other rate (19 cases)
       -8. DK (10 cases)
       -9. NA (5 cases)
	0. INAP, no variable rate mortgage depending on another rate 
	   (4027 cases)

	question: C17b


B4022 (A)	HOW OFTEN CAN THE RATE CHANGE PER 30 YEARS?
		Answered only if the household has a variable rate mortgage
		(B4020 is not zero). Respondent's answer is converted
		to a 30 year period for comparability.  No imputations.

		xxx. (6 to 840)
		 -7. other, non-numeric, answer (8 cases)
		 -8. DK (29 cases)
		 -9. NA (15 cases)
		  0. INAP, no variable rate mortgage (3975 cases)

	question: C17c


B4023 (A)	DOES MONTHLY PAYMENT CHANGE WHEN INTEREST RATE
	CHANGES?
	Answered only if the household has a variable rate mortgage
	(B4020 is not zero). No imputations.

	1. yes (99 cases)
	5. no (23 cases)
       -8. DK (4 cases)
       -9. NA (2 cases)
	0. INAP, no variable rate mortgage (3975 cases)

	question: C17d



             CREDIT CARDS AND REVOLVING DEBT

	(A) Gasoline company credit cards
 	(B) Bank credit cards (Visa, Mastercard, Choice)
 	(C) General purpose credit cards (American Express, 
	    Diners Club, Carte Blanche)
 	(D) National retailer credit cards (Sears, Penneys, Wards)
 	(E) Other store or retailer credit cards
 	(F) Other credit cards (rental car, airline etc.)

        Credit Card and Revolving Debt Totals

B4101	TOTAL REVOLVING CHARGE DEBT.
	The sum of total credit card debt plus debt owed against lines
	of credit (B4102 + B4125).  No missing values.

	xxxxxxx. dollars (5 to 6,000,000)
	      0. none (2482 cases)


B4102 	TOTAL CREDIT CARD DEBT.
	The sum of the amount owed on gasoline, bank, general purpose,
	national retail, other retail, and other credit card debt after
	payment of last bill (B4107 + B4110 + B4113 + B4116 + B4119 +
	B4122). No missing values.

	xxxxx. dollars (5 to 10,200)
            0. none (2686 cases)


B4103 	DOES HOUSEHOLD HAVE ANY CREDIT CARDS?
	All missing values were imputed.

	1. yes (2773 cases)
	5. no (1330 cases)

	question: B1

B4104 	DOES HOUSEHOLD HAVE LINES OF CREDIT?
	All missing values were imputed.

	1. yes (1697 cases)
	5. no (2406 cases)

	question: B6


                                 Individual Credit Cards By Type

B4105 (A) 	NUMBER OF CREDIT CARDS OF EACH TYPE.
B4108 (B) 	Number of different kinds of credit cards (different
B4111 (C) 	companies) owned for each of the six types of cards.
B4114 (D) 	Excludes cards owned by business or multiple cards per
B4117 (E) 	account.  All missing values were imputed.
B4120 (F)
		1. one (516/1075/565/965/548/229 cases)
		2. two (330/663/81/645/382/81 cases)
		3. three (229/110/18/321/258/39 cases)
		4. four (128/40/5/27/162/9 cases)
		5. five (64/13/0/14/100/6 cases)
		6. six (34/7/1/12/102/1 cases)
		7. seven or more (28/1/0/17/135/2 cases)
		0. none, INAP no credit cards 
	           (2774/2194/3433/2102/2416/3736 cases)

	question: B2a/B2b/B2c/B2d/B2e/B2f


B4106 (A) 	FREQUENCY OF CARD USAGE FOR EACH CARD TYPE.
B4109 (B) 	General usage of cards of each type.  Answer only if have
B4112 (C) 	card type (B4105 etc. > 0).  All missing values were imputed.
B4115 (D)
B4118 (E) 	1. use often (608/668/319/249/356/59 cases)
B4121 (F) 	2. use sometimes (258/697/209/804/685/85 cases)
		3. use hardly ever (368/483/121/814/539/148 cases)
		5. use never (but have card) (95/61/21/134/107/75 cases)
		0. INAP, don't have type of credit card 
		   (2774/2194/3433/2102/2416/3736 cases)

	question: B3a/B3b/B3c/B3d/B3e/B3f


B4107 (A) 	AMOUNT OWED ON CREDIT CARDS OF THIS TYPE.
B4110 (B) 	Balance owed after last payment was made.  Thus the total
B4113 (C) 	should exclude "convenience credit" whereby the bill is paid
B4116 (D) 	in full within thirty days, avoiding interest.  All missing
B4119 (E) 	values were imputed by log-regression with random term added
B4122 (F) 	(conditional mean tables were used for the high-income sample).

		xxxx. dollars (3 to 8000)
		  -6. none (1209/1070/622/1173/1155/345 cases)
		   0. INAP, don't have type of credit card 
		      (2774/2194/3433/2102/2416/3736 cases)

	question: B4a/B4b/B4c/B4d/B4e/B4f


             Payment Patterns for Store and Bank Credit Cards

B4123 	PAYMENT PATTERNS.
	Asked of all respondents owning bank, national retail, or
	other store credit cards (B4108 or B4114 or B4117 > 0).
	Respondent gave their general payment pattern for credit card
	bills. Missing values were not imputed.

	1. always pay full amount of credit card bills (1453 cases)
	3. sometimes pay full amount or always pay some bills in full 
	   (614 cases)
	5. hardly ever pay full amount of bills (592 cases)
       -8. DK (4 cases)
       -9. NA (39 cases)
	0. do not own bank, national retail, or other store credit
	   card (1401 cases)

	question: B5a.

B4124 	INTEREST PAID IF ACCOUNT IS NOT PAID IN FULL.
	Respondent's best guess as to average interest rate he/she
	pays (annualized) if the full bill is not paid on the bank or store
	card he/she uses the most often.  Answered only if the
	household has bank or store cards (B4108 or B4114 or B4117 >
	0).  Missing values were not imputed.

	xxxx. interest rate (percentage times ten) (5 to 995)
          -6. none (6 cases)
          -8. DK (431 cases)
          -9. NA (159 cases)
	   0. do not own bank, national retail, or other store credit 
	      card (1401 cases)

	question: B5b.


                    Lines of Credit

B4125 	AMOUNT OWED ON LINES OF CREDIT.
	The amount currently owed on open-ended lines of credit such
	as checking account overdrafts or credit union borrowing.  All missing
	values were imputed using a log-regression with a random term
	added (conditional mean tables were used with the high-income sample).
	In some instances reported loans were dropped when it was
	obvious that they had been double-counted and were reported elsewhere.

	xxxxxxx. dollars (33 to 6,000,000)
	      0. none or do not have lines of credit (3608 cases)

	question: B6a


B4126 (1st) 	TYPE OF FINANCIAL INSTITUTION WHERE LINES OF CREDIT
B4127 (2nd)	LOCATED.
B4128 (3rd) 	Respondents were asked to give the institutions where he/she
B4129 (4th) 	had lines of credit (whether he/she was drawing on them or
            	not).  These four variables contain the codes of up to
		four mentions.  All missing values were imputed.
		Imputations were done using the financial services
		variables (K31g, K36a-c) and conditional mean tables 
		with randomization.

		1. commercial bank (989/0/0/0 cases)
		2. savings and loan association or savings bank 
		   (128/85/0/0 cases)
		3. credit union (423/150/19/0 cases)
		4. finance or loan company (74/32/5/3 cases)
		5. store or dealer (0/1/0/0 cases)
		6. brokerage or money market mutual fund (58/90/17/2 cases)
		7. insurance company (3/12/5/3 cases)
	       15. employer (6/1/0/0 cases)
	       16. friend or relative (not codable above) (0/1/0/0 cases)
	       24. federal government agency; FMHA; SBA; VA; FHA; HUD;
		   NDSL (1/1/0/0 cases)
	       28. bank or general purpose credit card company; 
		   American express; VISA; Carte Blanche; Mastercard; 
		   Diners Club (11/8/3/0 cases)
	       93. farm related lenders, not codable above and NA if 
		   membership group or Federal agency (1/0/1/0 cases)
       	       94. investment or management companies or 
		   consultants -- NEC (0/1/0/0 cases)
	       97. other source (3/1/1/0 cases)
		0. INAP, for first variable it means household does 
		   not have any lines of credit (2406/3720/4053/4095 cases)

	question: B6b

B4130 	LINES OF CREDIT SECURED BY EQUITY IN HOME?
	Is home used as collateral for any lines of credit?  All
	missing values wereimputed.

	1. yes (60 cases)
	5. no (1637 cases)
	0. INAP (2406 cases)

	question: B6c.

                     CONSUMER LOANS

	(A) First addition and repair loan
	(B) Second addition and repair loan
	(C) Third addition and repair loan
	(D) First vehicle loan
	(E) Second vehicle loan
	(F) Third vehicle loan
	(G) First other loan with regular payments
	(H) Second other loan with regular payments
	(I) Third other loan with regular payments
	(J) First other loan with no regular payments
	(K) Second other loan with no regular payments
	(L) Third other loan with no regular payments
	(M) Other housing loan
	(N) Second other housing loan or other loan for investments

     Respondents were asked about four different types of consumer
loans: (1) addition and repairs (home improvement), (2) vehicle (car),
(3) other loans with regular payments, and (4) other loans without
regular payments.  For each category, detailed data were collected on
the terms of up to three loans.  There is some spillover from the
Vehicle Section, with some loans for fourth and fifth vehicles listed
in the "other loan" categories.  In addition, non-mortgage (or third)
loans used for the purchase of the household's house and loans
reported in the "other loans for investment" in Section K are listed
here.  Loans reported in this section should exclude mortgage loans,
loans reported as draws on lines of credit, credit card loans, and
loans from or to businesses owned by the household.

              Value of Aggregate Consumer Loans

B4201 	TOTAL CLOSED-END CONSUMER DEBT OUTSTANDING.
	This variable is the total amount outstanding for all debts
	owed by the household and listed in this section except for
	loans against the cash value of life insurance policies (B4212
	+ B4232 + B4252 + B4272 + B4292 + B4312 + B4332 + B4352 +
	B4372 + B4392 + B4412 + B4432 + B4452 + B4472 - B4204).  
	No missing values.

	xxxxxxx. dollars (14 to 5,027,000)
	      0. none (2194 cases)


B4202 	TOTAL REGULAR PAYMENT (INSTALLMENT) DEBT
	OUTSTANDING.
	This variable is the total amount outstanding for all debts
	with regular payments listed in this section.  No missing values.

	xxxxxx. dollars (14 to 403,325)
	     0. none (2468 cases)

B4203 	TOTAL NON-REGULAR PAYMENT (NON-INSTALLMENT) DEBT
	OUTSTANDING.
	This variable is the total amount outstanding for all debts
	without regular payments (or where the payment pattern was not
	ascertained) listed in this section except for loans against
	the cash value of life insurance policies (see B4204). 
	No missing values.

	xxxxxxx. dollars (22 to 5,027,000)
	      0. none (3571 cases)


B4204 	TOTAL REPORTED LOANS AGAINST THE CASH VALUE OF LIFE
	INSURANCE.
	This variable is the sum of loans with irregular payments
	reported in (G), (H), (I), (J), (K), (L) which were loans
	against the cash value of life insurance policies.  It was
	assumed that all irregular loans from insurance companies by
	households with whole life policies fell in this category.  These
	loans are excluded from total consumer debt, total debt, and net
	worth, as the corresponding cash value asset was not reported as a
	life insurance asset (respondents reported the net cash value of whole
	life policies after loans were subtracted).  No missing values.

	xxxxxx. dollars (44 to 300,000)
	     0. none (3902 cases)


B4205 	TOTAL LOANS FOR AUTOMOBILE PURCHASE.
	This variable is the total amount outstanding for all loans
	used to purchase automobiles or other vehicles (B4211
	etc. coded 6 thru 10 or 24) listed in this section.  No missing values.

	xxxxx. dollars (29 to 54,085)
	    0. none (2963 cases)


B4206 	TOTAL NON-AUTO CONSUMER LOANS.
	This variable is the total amount outstanding for all loans
	listed in this section except for loans against the cash value
	of life insurance and loans used to purchase automobiles or 
	other vehicles (B4201 - B4205).  No missing values.

	xxxxxxx. dollars (14 to 5,027,000)
	      0. none (2860 cases)


            Purpose of Credit/Amount Outstanding

B4211 (A)	PURPOSE OF CREDIT.
B4231 (B)	All missing values were imputed with conditional mean tables
B4251 (C)	with randomization.
B4271 (D)
B4291 (E)	1. purchase home (current residence)
B4311 (F)	   (0/0/0/0/0/0/2/1/2/13/2/0/85/2 cases)
B4331 (G) 	2. purchase home (current residence) if mobile home
B4351 (H)          (0/0/0/0/0/0/0/0/1/3/0/0/15/0 cases)
B4371 (I) 	3. home improvement or addition (including assessment for
B4391 (J) 	   sewer) (146/8/1/0/0/0/8/2/0/9/1/0/0/0 cases)
B4411 (K) 	4. home repairs, upkeep, maintenance
B4431 (L) 	   (58/4/1/0/0/0/6/2/1/2/0/0/0/0 cases)
B4451 (M) 	6. new automobile (0/0/0/400/51/4/2/0/0/2/1/1/0/0 cases)
B4471 (N) 	7. used automobile (0/0/0/452/121/20/5/2/0/11/4/0/0/0 cases)
		8. new truck or utility vehicle (0/0/0/67/21/1/0/0/0/ 
		   0/0/0/0/0 cases)
		9. used truck or utility vehicle
		   (0/0/0/112/44/17/2/1/0/ 2/0/0/0/0 cases)
	       11. refrigerator (0/0/0/0/0/0/21/3/0/1/0/0/0/0 cases)
	       12. stove-range, microwave oven
		   (0/0/0/0/0/0/8/4/0/1/0/1/0/0  cases)
	       14. freezer (0/0/0/0/0/0/8/4/0/0/0/0/0/0 cases)
	       15. air conditioner (0/0/0/0/0/0/5/0/0/1/0/0/0/0 cases)
	       16. washing machine, washer dryer combination 
		   (0/0/0/0/0/0/26/4/0/0/0/0/0/0cases)
               17. dryer (0/0/0/0/0/0/5/0/0/2/0/0/0/0 cases)
	       18. furniture, lamps, mattress and spring combos
		   (0/0/0/0/0/0/118/10/4/8/1/0/0/0 cases)
	       19. rug, carpet (0/0/0/0/0/0/3/0/0/0/0/0/0/0 cases)
	       20. vacuum cleaner (0/0/0/0/0/0/11/0/1/0/0/0/0/0 cases)
	       21. sewing machine (0/0/0/0/0/0/2/0/0/0/0/0/0/0 cases)
	       22. typewriter (manual or electric) 
		   (0/0/0/0/0/0/1/0/0/0/0/0/0/0 cases)
	       23. home computer, calculator, computer terminal 
		   (0/0/0/0/0/0/3/1/0/1/0/0/0/0 cases)
	       25. combination of appliances (including TV); appliance NA type
                   (0/0/0/0/0/0/12/2/0/1/0/0/0/0 cases)
	       26. furniture and appliance combinations 
                   (0/0/0/0/0/0/7/0/0/0/0/0/0/0 cases)
	       27. furniture and carpet combinations 
		   (0/0/0/0/0/0/1/0/0/0/0/0/0/0 cases)
	       28. curtains, drapes, china, other small household 
		   goods/furnishings (0/0/0/0/0/0/4/1/0/1/0/0/0/0 cases)
      	       29. other appliances or durable goods 
		   (0/0/0/0/0/0/4/1/0/0/0/0/0/0 cases)
	       31. stereo, phonograph (may include radio), sound equipment, amp
                   (0/0/0/0/0/0/14/4/0/3/0/0/0/0 cases)
	       34. piano, organ (0/0/0/0/0/0/15/0/0/2/0/0/0/0 cases)
	       35. musical instruments (except pianos or organs) 
		   (0/0/0/0/0/0/5/0/0/1/1/0/0/0 cases)
	       36. TV -- NA color or black and white 
		   (0/0/0/0/0/0/43/3/1/0/0/0/0/0 cases)
	       37. color TV (0/0/0/0/0/0/1/1/0/0/0/0/0/0 cases)
	       39. "home entertainment center", (incl. combination TV,
		   radio, phonograph, etc.); beta max, video cassette 
		   recorder/player (0/0/0/0/0/0/5/0/0/0/0/0/0/0 cases)
       	       41. camera; camera equipment (incl. lighting apparatus,
	           enlarger) (0/0/0/0/0/0/0/1/0/0/0/0/0/0 cases)
	       49. other small/indoor hobby or entertainment items
                   (e.g. pool tables) (0/0/0/0/0/0/1/0/0/0/0/0/0/0 cases)
	       51. power tools (hand held or stationary) -- electric
		   drill radial arm or chain saw, belt sander, router 
		   (0/0/0/0/0/0/3/1/0/0/0/0/0/0 cases)
	       52. yard equipment, lawn mower, snow blower, roto-tiller
                   (0/0/0/0/0/0/1/2/0/1/0/0/0/0 cases)
	       53. tractor, self propelled construction/farming
		   devices (non-busi.)(0/0/0/0/0/0/4/0/0/1/0/0/0/0 cases)
	       59. other tools (0/0/0/0/0/0/0/2/0/0/0/0/0/0 cases)
	       61. boat; boating equipment (incl. trailer) 
	           (0/0/0/0/0/0/30/6/1/2/0/0/0/0 cases)
	       62. bicycle, moped (0/0/0/0/0/0/0/2/0/0/0/0/0/0 cases)
	       63. motorcycle (0/0/0/0/0/0/7/2/0/4/0/0/0/0 cases)
	       64. snowmobile, off-road vehicles 
		   (0/0/0/0/0/0/1/0/0/0/0/0/0/0 cases)
	       65. camper-trailers (excluding self-propelled campers)
                   (0/0/0/0/0/0/11/1/0/4/0/0/0/0 cases)
	       66. mobile homes (not current residence); self-propelled campers
                   (0/0/0/0/0/0/3/1/0/0/0/0/0/0 cases)
	       67. cottage, vacation property
		   (0/0/0/0/0/0/2/0/0/3/0/0/0/0 cases)
	       69. other outdoor recreation items 
		   (0/0/0/0/0/0/3/3/0/1/1/0/0/0 cases)
	       71. stamp/coin collection; antique-classic car 
		   (incl. other similar "asset collections) 
	           (0/0/0/0/0/0/1/0/0/0/0/0/0/0 cases)
	       72. investment real estate (incl. cemetery plots) 
		   (0/0/0/0/0/0/11/4/4/19/3/0/0/0 cases)
               79. other investments (0/0/0/0/0/0/17/2/1/132/22/6/0/34 cases)
	       81. travel/vacation expenses 
		   (0/0/0/0/0/0/13/3/0/8/0/0/0/0 cases)
	       82. medical/dental expenses 
		   (0/0/0/0/0/0/96/26/4/49/12/3/0/0 cases)
	       83. education/school expenses 
                   (0/0/0/0/0/0/59/16/3/166/47/17/0/0 cases)
	       84. tax and insurance expenses (except for vehicles)
                   (0/0/0/0/0/0/7/2/1/40/9/1/0/0 cases)
	       85. weddings, funerals, combinations 
                   (0/0/0/0/0/0/5/2/0/1/1/0/0/0 cases)
	       86. encyclopedias, health clubs, spas 
                   (0/0/0/0/0/0/7/5/0/0/0/0/0/0 cases)
	       90. "personal loans" - NA what for 
                   (0/0/0/0/0/0/4/2/2/13/0/0/0/0 cases)
	       91. living/general expenses; bill consolidation; 
                   moving expenses (0/0/0/0/0/0/47/8/2/74/11/2/0/0 cases)
	       92. personal items (incl. clothing or jewelry) 
                   (0/0/0/0/0/0/12/1/0/0/1/0/0/0 cases)
	       93. vehicle repair/upkeep (incl. insurance) 
                   (0/0/0/0/0/0/10/5/2/8/3/0/0/0 cases)
	       94. gifts; goods or gifts of money; "christmas" 
                   (0/0/0/0/0/0/4/0/0/1/0/0/0/0 cases)
	       97. other purpose (0/0/0/0/0/0/5/1/0/12/1/1/0/0 cases)
		0. INAP, no loan (3899/4091/4101/3072/3866/4061/3392/3959/
		   4073/3500/3982/4069/4003/4067 cases)

	question: D2/E3/F3/F11/


B4212 (A)	AMOUNT OUTSTANDING ON LOAN.
B4232 (B)	The variable is directly answered if the loan does not have
B4252 (C) 	regular payments.  Otherwise it is calculated from the date
B4272 (D) 	the loan was taken out, the payment frequency, the number of
B4292 (E) 	original payments, the payment size (PAYMENT), and the
B4312 (F) 	interest rate (INTEREST).  For a monthly payment loan, for
B4332 (G) 	example, the formula would be:
B4352 (H) 	VALUE=PAYMENT*((1-1/(1+INTEREST/12)**PAYLEFT)/(INTEREST/12))
B4372 (I) 	where PAYLEFT is the number of payments left.  No missing
B4392 (J)	values.
B4412 (K)
B4432 (L)	xxxxxxx. dollars (14 to 5,027,000)
B4452 (M)	      0. INAP (3899/4091/4101/3072/3866/4061/3392/
B4472 (N)		 3959/4073/3500/3982/4069/4003/4067 cases)

 	question: D6a/E10a/ /F11/C11a


                      Date of Loan

B4213 (A)	MONTH LOAN TAKEN OUT OR REFINANCED.
B4233 (B)	All missing values were imputed except for (N) investment
B4253 (C)	loans.
B4273 (D)
B4293 (E)	xx. month (1 to 12)
B4313 (F)	-9. NA (B4473 only, 34 cases)
B4333 (G)	 0. INAP (3899/4091/4101/3072/3866/4061/3392/3959/4073/
B4353 (H) 	    3500/3982/4069/4003/4067 cases)
B4373 (I)
B4393 (J) 	question: D4/E6/F4/F12/C9
B4413 (K)
B4433 (L)
B4453 (M)
B4473 (N)


B4214 (A)	YEAR LOAN TAKEN OUT OR REFINANCED.
B4234 (B)	All missing values were imputed except for (N) investment
B4254 (C)	loans.
B4274 (D)
B4294 (E)	xxxx. year (1950 to 1983)
B4314 (F)	  -9. NA (B4474 only, 34 cases)
B4334 (G)	   0. INAP (3899/4091/4101/3072/3866/4061/3392/3959/4073/
B4354 (H) 		      3500/3982/4069/4003/4067 cases)
B4374 (I)
B4394 (J) 	question: D4/E6/F4/F12/C9
B4414 (K)
B4434 (L)
B4454 (M)
B4474 (N)


B4215 (A)	MONTH LOAN DUE.
B4235 (B)	The variable is directly answered if the loan does not have
B4255 (C)	regular payments.  Otherwise it is calculated from the date
B4275 (D) 	the loan was taken out, the payment frequency, and the number
B4295 (E) 	of original payments.  If the calculated due date is before
B4315 (F) 	the survey date, the month due is coded as -9.
B4335 (G)
B4355 (H) 	xx. month (1 to 12)
B4375 (I) 	-8. DK (for non-regular payment loans only)
B4395 (J)           (0/0/0/0/0/0/0/0/0/91/14/5/0/0 cases)
B4415 (K)	-9. NA, due prior to current date for regular payment loans
B4435 (L)           (25/1/1/72/32/6/92/22/6/246/46/11/13/36 cases)
B4455 (M)	 0. INAP (3899/4091/4101/3072/3866/4061/3392/3959/4073/
B4475 (N) 	    3500/3982/4069/4003/4067 cases)

	question: D6c/E10b/ /F15/C11b


B4216 (A)	YEAR LOAN DUE.
B4236 (B)	The variable is directly answered if the loan does not have
B4256 (C)	regular payments.  Otherwise it is calculated from the date
B4276 (D) 	the loan was taken out, the payment frequency, and the number
B4296 (E) 	of original payments.  If the calculated due date is before
B4316 (F) 	the survey date, the year due is coded as -9.
B4336 (G)
B4356 (H) 	xxxx. year (1983 to 2012)
B4376 (I) 	  -8. DK (for non-regular payment loans only)
B4396 (J) 	      (0/0/0/0/0/0/0/0/0/91/14/5/0/0 cases)
B4416 (K)	  -9. NA, due prior to current date for regular payment
B4436 (L) 	      loans (25/1/1/72/32/6/92/22/6/246/46/11/13/36 cases)
B4456 (M)	   0. INAP (3899/4091/4101/3072/3866/4061/3392/3959/4073/
B4476 (N) 	      3500/3982/4069/4003/4067 cases)

	question: D6c/E10b/ /F15/C11b


B4217 (A)	ORIGINAL MATURITY IN MONTHS.
B4237 (B)	Calculated from the date the loan was taken out and the date
B4257 (C)	it is due.  When added to the date the loan was taken out
B4277 (D) 	this should equal the due date, except for loans past due.
B4297 (E) 	No missing values for regular payment loans.
B4317 (F)
B4337 (G) 	xxx. months (1 to 480)
B4357 (H)	 -9. NA, due prior to current date for regular payment
B4377 (I) 	     loans (18/0/0/15/3/2/12/2/2/337/60/16/10/36 cases)
B4397 (J)	  0. INAP (3899/4091/4101/3072/3866/4061/3392/3959/4073/
B4417 (K) 	     3500/3982/4069/4003/4067 cases)
B4437 (L)
B4457 (M)
B4477 (N)


                          Amount Borrowed

B4218 (A)	ORIGINAL AMOUNT BORROWED.
B4238 (B)	All missing values were imputed.  Imputations were made using
B4258 (C)	sample-generated loan-to-value ratios adjusted for the date of
B4278 (D) 	the loan and the size of the purchase.
B4298 (E)
B4318 (F)	xxxxxxxx. dollars (32 to 11,000,000)
B4338 (G)	      -9. NA (B4478 only, 34 cases)
B4358 (H)	       0. INAP (3899/4091/4101/3072/3866/4061/3392/3959/
B4378 (I) 		  4073/3500/3982/4069/4003/4067 cases)
B4398 (J)
B4418 (K) 	question: D5/E9/F5/F13/C10/K28
B4438 (L)
B4458 (M)
B4478 (N)


B4226 (A)	TOTAL COST OF VEHICLE/PROJECT
B4246 (B)	Answered only for home improvement or vehicle loans.  For (G)
B4266 (C)	(H),(J),(K) it is given only if the loan is for a vehicle.
B4286 (D)
B4306 (E) 	xxxxxx. dollars (280 to 250000)
B4326 (F)	     0. INAP or not vehicle/home improvement (3899/4091/
B4346 (G) 		4101/3072/3866/4061/4094/4100/4088/4098 cases)
B4366 (H)
B4406 (J) 	question: D3/E7
B4426 (K)


                          Payments/interest

B4219 (A)	SIZE OF EACH PAYMENT.
B4239 (B)	Almost all missing values were imputed.  If all other terms
B4259 (C)	were known, missing payment size terms could be derived
B4279 (D) 	assuming an interest rate prevailing at the date of the loan.
B4299 (E)
B4319 (F) 	xxxxxx. dollars (5 to 28,016)
B4339 (G)	    -6. no regular payments, payment pattern NA (only for
B4359 (H) 		B4479) (34/4/0/30/8/4/12/3/2/603/121/34/14/36
B4379 (I)	        cases)
B4399 (J)	     0. INAP (3899/4091/4101/3072/3866/4061/3392/3959/4073/
B4419 (K) 		3500/3982/4069/4003/4067 cases)
B4439 (L)
B4459 (M) 	question: D6/E10/F6/ /C11
B4479 (N)


B4220 (A)	FREQUENCY OF PAYMENTS.
B4240 (B)	All missing values were imputed except loans taken from
B4260 (C)	question K28 (other loans for investments) in B4480.
B4280 (D)
B4300 (E) 	3. weekly (5/0/1/17/2/0/13/0/1/0/0/0/0/0 cases)
B4320 (F) 	4. bi-weekly (0/0/0/9/1/0/7/2/0/0/0/0/0/0 cases)
B4340 (G) 	5. monthly (165/8/1/965/224/38/666/134/26/0/0/0/79/0 cases)
B4360 (H) 	6. yearly (0/0/0/10/2/0/13/4/1/0/0/0/7/0 cases)
B4380 (I) 	7. every three months (0/0/0/0/0/0/0/1/0/0/0/0/0/0 cases)
B4400 (J) 	8. no regular payments (34/4/0/30/8/4/12/3/2/603/121/34/
B4420 (K)	   13/2 cases)
B4440 (L)      -9. payment pattern NA (B4480 only, 34 cases)
B4460 (M) 	0. INAP (3899/4091/4101/3072/3866/4061/3392/3959/4073/
B4480 (N) 		   3500/3982/4069/4003/4067 cases)

 	question: D6/E10/F6/ /C11


B4221 (A)	ORIGINAL NUMBER OF PAYMENTS.
B4241 (B)	Given only for loans with regular payments.  All missing
B4261 (C)	values imputed.
B4281 (D)
B4301 (E) 	xxx. number (1 to 520)
B4321 (F)	  0. no regular payments, payments NA, INAP (3933/4095/4101
B4341 (G) 	     /3102/3874/4065/3404/3962/4075/4103/4103/4103/4017/
B4361 (H)	     4103 cases)
B4381 (I)
B4401 (J)	question: D7/E11/F7/ /C12
B4421 (K)
B4441 (L)
B4461 (M)
B4481 (N)


B4222 (A)	NUMBER OF PAYMENTS LEFT.
B4242 (B)	Calculated from the original number of payments, the date
B4262 (C)	of the loan, and the current date.  If the loan was determined
B4282 (D) 	to be overdue, the number of payments left was imputed.
B4302 (E)
B4322 (F) 	xxx. number (1 to 499)
B4342 (G)	  0. no regular payments, payments NA, INAP (3933/4095/4101
B4362 (H) 	     /3102/3874/4065/3404/3962/4075/4103/4103/4103/4017/
B4382 (I)	     4103 cases)
B4402 (J)
B4422 (K)
B4442 (L)
B4462 (M)
B4482 (N)


B4465 (M) 	AMOUNT OF BALLOON PAYMENT (IF ANY).
	Answered only for other housing loans.  All missing values
	were imputed.

	xxxxx. dollars (1,200 to 35,000)
	    0. none, INAP (4094 cases)

	question: C14,C14a


B4223 (A) 	ANNUAL RATE OF INTEREST.
B4243 (B)	Answered directly for all loans with no regular payments.  If
B4263 (C)	the loan has regular payments and all payment terms were
B4283 (D) 	given, the interest rate was solved for from the implied
B4303 (E) 	repayment pattern.  In cases where this was inconsistent with
B4323 (F) 	the interest rate given by respondent, the solved for rate was
B4343 (G) 	generally used.  If the interest rate was missing and other
B4363 (H) 	payment terms as well, the interest rate was imputed using
B4383 (I) 	rates prevailing at the time the loan was issued, according
B4403 (J) 	to the type of loan and its purpose.
B4423 (K)
B4443 (L)	xxx. percentage rate times 10 (10 to 387)
B4463 (M)	 -6. zero (8/0/0/11/3/1/6/0/0/107/23/6/5/0 cases)
B4483 (N)	 -9. interest rate NA (B4483 only, 34 cases)
		  0. INAP (3899/4091/4101/3072/3866/4061/3392/3959/4073/
                         3500/3982/4069/4003/4067 cases)

	question: D6b/E10c/ /F16/C15


                   Source of Loan

B4224 (A) 	SOURCE OF LOAN.
B4244 (B) 	All missing values were imputed except for investment loans in
B4264 (C) 	(N).  Imputations were made using the financial services
B4284 (D) 	questions (K31g, K36a-c) and conditional mean tables with
B4304 (E) 	randomization.
B4324 (F)
B4344 (G) 	1. commercial bank (84/5/1/426/113/17/174/27/9/124/26/
B4364 (H) 	   8/23/1 cases)
B4384 (I)	2. savings and loan association or savings bank
B4404 (J)	   (38/3/0/54/10/3/16/3/2/31/12/5/5/0 cases)
B4424 (K) 	3. credit union (27/1/0/175/41/15/58/11/3/7/1/0/1/0 cases)
B4444 (L) 	4. finance or loan company
B4464 (M) 	   (8/0/0/45/10/2/116/23/5/9/3/0/6/0 cases)
B4484 (N) 	5. store or dealer (18/0/0/37/8/0/220/42/3/9/2/1/0/0 cases)
		6. brokerage company (1/0/0/0/0/0/0/0/0/23/7/1/0/0 cases)
		7. insurance company (summed separately for irregular payments)
                      (7/1/0/4/1/0/2/0/0/203/23/5/7/0 cases)
		8. mortgage company (0/0/0/0/0/0/0/0/0/0/0/0/5/0 cases)
		9. contractor or developer (4/1/0/0/0/0/0/0/0/0/0/0/3/0 cases)
	       10. prior owner (0/0/0/4/1/0/2/1/1/2/1/0/12/0 cases)
	       11. automobile finance company
		   (0/0/0/251/43/3/0/0/0/1/0/0/0/0 cases)
	       12. doctor or hospital, dentist
		   (0/0/0/0/0/0/75/22/4/32/9/3/0/0 cases)
	       13. lawyer (0/0/0/0/1/0/0/0/0/4/0/0/0/0 cases)
	       15. employer (1/0/0/6/0/0/4/1/1/10/2/1/3/0 cases)
	       16. friend or relative (not codable above) 
		   (9/0/1/25/6/1/12/2/1/85/19/2/25/0
                   cases)
	       17. individual lender (not codable above) 
		   (1/0/0/1/2/1/3/2/0/0/0/0/0/0 cases)
	       21. real estate investment company 
                   (0/0/0/0/0/0/0/0/0/0/0/0/1/0 cases)
	       22. school, college, university 
                   (0/0/0/0/0/0/13/7/1/25/4/2/0/0 cases)
	       23. local, county, state government 
                   (1/0/0/0/0/0/4/1/0/11/1/1/0/0 cases)
	       24. Federal government: FMHA, SBA, VA, FHA, HUD, NDSL
                   (3/0/0/0/0/0/4/1/0/8/6/2/3/0 cases)
	       25. other Federal government, IRS 
                   (0/0/0/0/0/0/0/0/0/11/3/2/0/0 cases)
	       30. church (0/0/0/0/0/0/0/0/0/1/0/0/0/0 cases)
	       32. courts (0/0/0/0/0/0/1/0/0/2/0/0/0/0 cases)
	       93. farm related lenders (not codable above) 
                   (0/0/0/1/0/0/0/0/0/0/0/0/1/0 cases)
	       94. investment, management, or consulting companies 
                   (1/0/0/0/0/0/1/0/0/0/0/0/0/0
                      cases)
	       96. combinations (0/0/0/0/0/0/1/0/0/0/0/0/4/0 cases)
	       97. other lender (1/1/0/2/1/0/5/1/0/5/2/1/1/0 cases)
	       -9. NA (B4484 only, 34 cases)
		0. INAP (3899/4091/4101/3072/3866/4061/3392/3959/4073/
		   3500/3982/4069/4003/4067 cases)

	question: D8/E12/F8/F17/C16


B4225 (A) 	PLACE PAPERS FILLED OUT FOR THE LOAN
B4245 (B) 	Answered only if the source of the loan was a commercial
B4265 (C) 	bank, an S&L, a credit union, or a finance company (codes
B4285 (D) 	1-4 above).  Also answered only for vehicle/home improvement
B4305 (E) 	and other regular payment loans.  This variable is useful
B4325 (F) 	in determining if the loan was originated in a dealer, for
B4345 (G) 	example, but later sold to a bank.
B4365 (H)
B4385 (I) 	1. commercial bank (58/2/1/215/74/14/125/18/3 cases)
		2. savings and loan association or savings bank 
		   (34/2/0/30/7/3/11/0/1 cases)
		3. credit union (25/1/0/151/32/14/53/8/3 cases)
		4. finance or loan company (5/0/0/24/7/1/61/14/3 cases)
		5. store or dealer (4/0/0/235/44/4/75/9/3 cases)
		7. insurance company (summed separately for irregular payments)
                   (0/0/0/5/0/0/0/0/0 cases)
		9. contractor or developer (11/0/0/0/0/0/1/0/0 cases)
	       13. lawyer (1/0/0/0/0/0/0/0/0 cases)
	       16. friend or relative (not codable above) 
		   (0/0/0/1/0/0/0/0/0 cases)
	       17. individual lender (not codable above) 
		   (0/0/0/0/0/0/1/1/1 cases)
	       22. school, college, university (0/0/0/0/0/0/4/1/1 cases)
	       23. local, county, state government (1/0/0/0/0/0/0/0/0 cases)
	       26. at home (13/1/0/4/3/0/16/1/0 cases)
	       97. other location (0/1/0/0/0/0/3/1/0 cases)
	       -8. DK (0/0/0/4/1/0/0/0/0 cases)
	       -9. NA (5/2/0/31/6/1/14/11/4 cases)
		0. loan source is not a bank, S&L, credit union, or
		   finance Co., 
		   INAP (3946/4094/4102/3403/3929/4066/3739/4039/4084 cases)

	question: D9/E13/F9


                     Loan Payment Problems

B4207 	PROBLEMS PAYING LOANS.
	Respondent answer to the question: "Now thinking of all types
	of debts, were all payments made the way they were scheduled
	during the last year, or were payments on any of the loans
	sometimes made later or missed?"  Asked of all respondents 
        with regularly scheduled payments.

	1. all paid as scheduled (1255 cases)
	5. sometimes got behind or missed payments (417 cases)
	7. other, including "payments not due yet" (13 cases)
       -9. NA (224 cases)
        0. INAP, no consumer loans (2194 cases)

	question: F19

                  HEAD & SPOUSE DEMOGRAPHIC DATA

           (H) Household head (husband, if married)
	   (S) Spouse (wife)

     Demographic data are given for the household head and spouse (if
married).  Following past convention, the head is arbitrarily assigned
to the husband for married couples.  Couples "living together" or in 
common-law marriage are counted as married.

                 Age, Sex, and Marital Status

B4501 (H)	MONTH OF BIRTH.
B4601 (S)	All missing values were imputed.

		xx. month (1 to 12)
		 0. INAP, no spouse (0/1468 cases)

	question: R58/S58


B4502 (H)	YEAR OF BIRTH.
B4602 (S)	All missing values were imputed.  Imputations were
		made using the age reported on the interviewer coding
		sheet, education and job data, and children and spouse's
                age.

		xxxx. year (1884 to 1967)
		   0. INAP (0/1468 cases)

	question: R58/S58


B4503 (H)	AGE BY DATE OF BIRTH AT LAST BIRTHDAY.
B4603 (S)	All missing values were imputed.  This variable was
		calculated from the month and year of birth.

		xx. years (15 to 98)
		 0. INAP (0/1468 cases)


B4504 (H)	AGE AT LAST BIRTHDAY AS REPORTED ON INTERVIEWER
B4604 (S)	CODING SHEET.
	This age may differ from that calculated from the reported
	date of birth (B4503 or B4603).  B4504 is the same as B3127
	and B4604 is the same as B3130 (if married). All missing
	values were imputed.  Imputations were done using date of
	birth, job history, children and spouse's age, and education.

	xx. years (15 to 98)
	 0. INAP (0/1468 cases)

	question: X4


B3126 (H)	SEX OF HEAD.
	Observed by the interviewer.  Given only for the head, as the
	spouse is always female.  No missing values.

	1. male (3135 cases)
	2. female (968 cases)

	question: X1


B3111 	RACE OF HOUSEHOLD.
	Variable is the observed race of the survey respondent.  All
	missing values were imputed using census data and other sources.

	1. caucasion except hispanic (3468 cases)
	2. black except hispanic (478 cases)
	3. hispanic (111 cases)
	4. American indian or Alaskan native (9 cases)
	5. Asian or pacific islander (37 cases)

	question: X3


B3112 (H)	MARITAL STATUS OF HEAD.
	No missing values (no imputations were needed).

	1. married (includes common-law marriage or couples living together as
           "partners") (2635 cases)
	2. separated (144 cases)
	3. divorced (431 cases)
	4. widowed (442 cases)
	5. never married (451 cases)

	question: R59


                     Education and Health

B4505 (H)	YEARS OF EDUCATION.
B4605 (S)	All missing values were imputed.  Imputations were
		made using age at first job or child, military
		service, occupation, and education of spouse.

		xx. highest grade finished (1 to 17)
		-6. none (16/6 cases)
		 0. INAP (0/1468 cases)

	question: R61/S61


B4506 (H)	GRADUATED FROM HIGH SCHOOL (OR EQUIVALENCY TEST)?
B4606 (S)	All missing values were imputed.

		1. yes (3031/2098 cases)
		5. no (1072/537 cases)
		0. INAP (0/1468 cases)

	question: R61a/S61a

B4507 (H)	GRADUATED FROM COLLEGE?
B4607 (S)	Includes some junior college graduates, who will
		generally have only 14 or 15  years of education.  
		All missing values were imputed.

		1. yes (1152/611 cases)
		5. no (2951/2024 cases)
		0. INAP (0/1468 cases)

	question: R61b/S61b


B4508 (H)	SERVED IN MILITARY?
B4608 (S)	All missing values were imputed.

		1. yes (1560/41 cases)
		5. no (2543/2594 cases)
		0. INAP (0/1468 cases)

	question: R60/S60


B4509 (H)	HEALTH.
B4609 (S)	Health as self-reported.  No missing values.

		1. excellent (1652/1154 cases)
		2. good (1572/1001 cases)
		3. fair (600/344 cases)
		4. poor (279/136 cases)
		0. INAP (0/1468 cases)

	question: R62/S62


                Current Job Status

B4510 (H)	JOB STATUS AT THE TIME OF THE INTERVIEW.
B4610 (S)	All missing values were imputed.

		11. working more than 20 hours a week (2569/976 cases)
		12. working 20 hours per week or less (87/197 cases)
		13. retired, work more than 20 hours a week (48/3 cases)
		14. student, work more than 20 hours a week (18/1 cases)
		15. housewife, work more than 20 hours a week (4/39 cases)
		16. unemployed, work more than 20 hours a week (9/1 cases)
		17. other, work more than 20 hours a week (4/3 cases)
		18. other, work 20 hours per week or less (1/6 cases)
		20. laid off, will return (65/16 cases)
		21. laid off, no return (9/6 cases)
		22. laid off/other, will return (1/1 cases)
		30. unemployed, worked before (189/52 cases)
		31. unemployed, never worked (8/2 cases)
		32. unemployed, work 20 hours per week or less (10/5 cases)
		33. unemployed/other not working (3/1 cases)
		50. retired, not working (758/185 cases)
		51. retired, work 20 hours per week or less (75/6 cases)
		52. retired/other not working (2/3 cases)
		70. student, not working (37/21 cases)
		72. student, work 20 hours per week or less (28/4 cases)
		73. student/other, not working (0/1 cases)
		80. housewife, not working (144/1015 cases)
		81. housewife, work 20 hours per week or less (5/66 cases)
		97. other, not working (29/25 cases)
		 0. INAP (0/1468 cases)

	question: R1,R1a,R1b,R1c,R1d/S1,S1a,S1b,S1c,S1d


B4511 (H)	JOB STATUS RECODE.
B4611 (S)
		1. working fulltime, more than 20 hours per week 
		   (2652/1023 cases)
		2. working parttime, 20 hours per week or less (206/284 cases)
		3. temporarily laid off, plan to return to job 
		   (information is given for the job) (67/16 cases)
		4. unemployed, laid off and will not return to job 
		   (209/61 cases)
		5. retired, not working (760/188 cases)
		6. student, not working (37/22 cases)
		7. housewife, not working (143/1016 cases)
		8. other, not working (29/25 cases)
		0. INAP (0/1468 cases)


B4512 (H)	CURRENT JOB CODE.
B4612 (S)
		1. not currently working (1178/1312 cases)
		2. currently working, no pension benefits (1282/759 cases)
		3. current working, main pension benefits only (1169/429 cases)
		4. currently working, thrift plan benefits only (116/37 cases)
		5. currently working, main pension and thrift plan
		   benefits (358/98 cases)
		0. INAP (0/1468 cases)


                         Job History

B4513 (H)	NUMBER OF FULLTIME JOBS HELD MORE THAN ONE YEAR.
B4613 (S)	All missing values were imputed.

		xx. jobs (1 to 30)
		-6. none (223/459 cases)
		 0. INAP (0/1468 cases)

	question: R50/S50


B4514 (H)	EXPECT TO WORK FULLTIME IN THE FUTURE?
B4614 (S)	Answered only if never had a fulltime job (B4513 or
		B4613 = -6).  Imputed in some instances when the 
		individual was beyond normal working years.

		1. yes (77/51 cases)
		5. no (112/283 cases)
	       -8. DK (7/23 cases)
	       -9. NA (27/102 cases)
		0. worked fulltime, INAP (3880/3644 cases)

	question: R50a/S50a


B4515 (H)	AGE OF FIRST FULLTIME JOB.
B4615 (S)	Answered only if had a fulltime job (B4513 or B4613 >
		0).  All missing values were imputed using education,
		specific job dates, children's age, and conditional 
		mean tables with randomization.

		xx. years (11 to 63)
		 0. never had a fulltime job, INAP (223/1927 cases)

	question: R51/S51


B4516 (H)	NUMBER OF YEARS WORKING FULLTIME JOBS.
B4616 (S)	Answered directly of respondents with job breaks, and
		calculated from the age started working and current
		age for others.  All missing values were imputed using
		education, specific job dates, military, children's age, and
		conditional mean tables with randomization.

		xx. years (1 to 69)
		 0. never had a fulltime job, INAP (223/1927 cases)

	question: R52a/S52a


B4517 (H)	NUMBER OF YEARS WORKING PARTTIME JOBS LASTING YEAR
B4617 (S)	OR MORE.
		Includes only primary jobs.  Answered directly by some
		respondents and calculated for others.  All missing
		values were imputed using education, specific job
		dates, military, children's age, and conditional 
		mean tables with randomization.

		xx. years (1 to 47)
		-6. none (3199/1666 cases)
		 0. INAP (0/1468 cases)

	question: R54/S54


B4518 (H)	NUMBER OF YEARS SINCE AGE OF FIRST JOB THAT NOT
B4618 (S)	WORKING.
		Answered directly by some respondents and calculated from age
		started working and current age for others.  If
		respondent never had a fulltime job, this variable
		plus the number of years with parttime jobs equals the
		current age minus 18 (or is coded zero for head or
		spouse under 18).  For those with at least one
		fulltime job but no parttime jobs, this variable plus
		the number of fulltime years equals the current age
		minus the age at the first job.  For those with both
		full and parttime jobs this variable has one of two
		values which can be determined uniquely: (1) this
		variable plus the number of fulltime years plus the
		number of parttime years equals the current age minus
		the age at the first job; (2) this variable plus the
		number of fulltime years plus the number of parttime
		years equals the current age minus 18 (indicates
		parttime jobs started before fulltime job).  All
		missing values were imputed using education, specific
		job dates, military, children's age, and conditional 
		mean tables with randomization.

		xx. years (1 to 73)
		-6. none (2572/687 cases)
		 0. INAP (0/1468 cases)

	question: R52/S52


                          Retirement Ages

B4519 (H)	REPORTED AGE DID/EXPECT TO RETIRE FROM FULLTIME WORK.
B4619 (S)	As reported by respondent.

		xx. years (18 to 90)
		-6. never worked fulltime job (153/414 cases)
		-7. never stop (487/137 cases)
		-8. DK (174/134 cases)
		-9. NA (98/78 cases)
		 0. INAP (0/1468 cases)

	question: R53,R53a/S53,S53a


B4520 (H)	AGE DID/EXPECT TO RETIRE FROM FULLTIME WORK.
B4620 (S)	Most missing values were imputed for observations
		where head or spouse is over age 39 (otherwise the
		same as B4519 or B4619).  Imputed (and corrected) for
		some individuals who had already retired, from the
		dates reported inthe Past Job Section.

		xx. years (17 to 90)
		-6. never worked fulltime job (112/292 cases)
		-7. never stop (480/138 cases)
		-8. DK (141/112 cases)
		-9. NA (73/154 cases)
		 0. INAP (0/1468 cases)


B4521 (H)	REPORTED AGE DID/EXPECT TO RETIRE FROM ALL WORK.
B4621 (S)	Answer given by respondent.

		xx. years (17 to 90)
		-6. never worked any job (87/260 cases)
		-7. never stop (969/306 cases)
		-8. DK (266/218 cases)
		-9. NA (127/100 cases)
		 0. INAP (0/1468 cases)

	question: R55,R55a/S55,S55a


B4522 (H)	AGE DID/EXPECT TO RETIRE FROM ALL WORK.
B4622 (S)	Most missing values were imputed for observations
		where head or spouse is over age 39 
		(otherwise the same as B4521 or B4621).  Imputed (and
		corrected) for some individuals who had already
		retired, from the dates reported in the Past Job Section.

		xx. years (17 to 90)
		-6. never worked any job (72/184 cases)
		-7. never stop (1087/371 cases)
		-8. DK (123/151 cases)
		-9. NA (50/132 cases)
		 0. INAP (0/1468 cases)


                         CURRENT JOB

                (H) Household head (husband, if married)
		(S) Spouse (wife)

     Information is given for the current job if the head or spouse is
working or temporarily laid off from their job.

                   Occupation/Industry

B4531 (H)	3 DIGIT 1970 CENSUS OF POPULATION OCCUPATION CODE.
B4631 (S)	Coded from questionnaires by SRC.  All missing values 
		were imputed.

		xxx. see table A1 for codes (1 to 984)
		  0. INAP, not working (1179/2779 cases)

	question: R2/S2


B4532 (H)	1 DIGIT 1970 OCCUPATION RECODE.
B4632 (S)	Recoded from B4531/B4631.  No missing values.

		1. professional, technical, and kindred workers (3
		   digit codes 1-195) (533/281 cases)
		2. managers and administrators (except farm) (3 digit
		   codes 201-245 and not self-employed) (535/121 cases)
		3. self-employed managers (3 digit codes 201-245 and
		   self-employed) (202/57 cases)
		4. sales, clerical, and kindred workers (3 digit codes
		   260-285 or 301-395) (365/471 cases)
		5. craftsmen, protective service, and kindred workers
		   (3 digit codes 401-580, 961, or 963-965) (490/25 cases)
		6. operatives, laborers, and service workers (3 digit
		   codes 601-785, 821-824, 901-960, 962 or 980-984) 
		   (706/363 cases)
		7. farmers and farm managers (3 digit codes 801-802) 
		   (64/4 cases)
		8. members of armed services (3 digit codes 996-998,
		   600, or 580) (29/2 cases)
		0. INAP (1179/2779 cases)


B4533 (H)	3 DIGIT 1980 CENSUS OF POPULATION OCCUPATION CODE.
B4633 (S)	Computed using a program which maps from 1970 codes 
		(B4531 or B4631) to 1980 codes.

		xxx. see table A2 for codes (5 to 900)
		  0. INAP (1179/2779 cases)


B4534 (H)	DETAILED 1980 CENSUS OF POPULATION OCCUPATION RECODE.
B4634 (S)	Census-defined "detailed" occupation groups.  Used by the CPS.

		xx. see table A3 for codes (1 to 51)
		 0. INAP (1179/2779 cases)


B4535 (H)	MAJOR 1980 CENSUS OF POPULATION OCCUPATION RECODE.
B4635 (S)	Census-defined "major" occupation groups.  Used by the CPS.

		1. executive, administrative & managerial 
                   (3 digit codes 3-37) (706/175 cases)
		2. professional specialty occupations 
		   (3 digit codes 43-199) (424/239 cases)
		3. technicians & related support occupations 
		   (3 digit codes 203-235) (87/34 cases)
		4. sales occupations (3 digit codes 243-285) (205/134 cases)
		5. administrative support, including clerical 
		   (3 digit codes 303-389) (224/365 cases)
		6. private household (3 digit codes 403-407) (43/41 cases)
		7. protective services (3 digit codes 413-427, 900) 
		   (85/8 cases)
		8. service, except private household and protective 
		   (3 digit codes 433-469) (142/163 cases)
		9. farming, forestry and fishing (3 digit codes
		   473-499) (118/12 cases)
	       10. precision production, craft and repair occupations 
		   (3 digit codes 503-699) (431/50 cases)
	       11. machine operators, assemblers, and inspectors 
		   (3 digit codes 703-799) (215/67 cases)
	       12. transportation and material moving occupations (3
		   digit codes 803-859) (147/13 cases)
	       13. handlers, equipment cleaners, helpers and laborers 
                   (3 digit codes 863-889)
                      (97/23 cases)
		0. INAP (1179/2779 cases)


B4536 (H)	3 DIGIT 1970 CENSUS OF POPULATION INDUSTRY CODE.
B4636 (S)	Coded from questionnaires by SRC.

		xxx. see table A4 for codes (17 to 937)
		 -9. NA (46/18 cases)
		  0. INAP (1179/2779 cases)

	question: R3/S3


B4537 (H)	3 DIGIT 1980 CENSUS OF POPULATION INDUSTRY CODE.
B4637 (S)	Computed using a program which maps from 1970 codes 
		(B4536 or B4636) to 1980 codes.

		xxx. see table A5 for codes (10 to 900)
		 -9. NA (46/18 cases)
		  0. INAP (1179/2779 cases)


B4538 (H)	DETAILED 1980 CENSUS OF POPULATION INDUSTRY RECODE.
B4638 (S)	Census-defined "detailed" industry codes.  Used by the CPS.

		xx. see table A6 for codes (1 to 46)
		-9. NA (46/18 cases)
		 0. INAP (1179/2779 cases)


B4539 (H)	MAJOR 1980 CENSUS OF POPULATION INDUSTRY RECODE.
B4639 (S)	Census-defined "major" industry groups.  Used by the CPS.

		1. agriculture, forestry, and fisheries 
		   (3 digit codes 10-31) (116/17 cases)
		2. mining (3 digit codes 40-50) (55/6 cases)
		3. construction (3 digit code 60) (209/16 cases)
		4. durable goods (3 digit codes 230-392) (447/83 cases)
		5. nondurable goods (3 digit codes 100-222) (245/106 cases)
		6. transport, communications, and other public 
		   utilities (3 digit codes 400-472) (224/45 cases)
		7. wholesale trade (3 digit codes 500-571) (125/39 cases)
		8. retail trade (3 digit codes 580-691) (297/218 cases)
		9. finance, insurance, and real estate (3 digit codes
		   700-712) (209/106 cases)
	       10. business and repair services (3 digit codes
		   721-760) (148/64 cases)
	       11. personal services, including private households 
                   (3 digit codes 761-791) (64/92 cases)
	       12. entertainment and recreation services 
		   (3 digit codes 800-802) (24/9 cases)
	       13. professional and related services 
		   (3 digit codes 812-892) (533/450 cases)
	       14. public administration (3 digit codes 900-932) 
		  (182/55 cases)
	       -9. NA (46/18 cases)
		0. INAP (1179/2779 cases)


B4540 (H)	TYPE OF EMPLOYER.
B4640 (S)	All missing values were imputed.

		1. federal government (103/44 cases)
		2. state/local government (231/99 cases)
		3. public school/college (124/138 cases)
		4. private school (32/30 cases)
		5. military (32/2 cases)
		6. employed by private sector, less than 100 employees
		   (660/352 cases)
		7. employed by private sector, more than 100 employees
		   (1231/456 cases)
		8. self-employed (511/203 cases)
		0. INAP (1179/2779 cases)

	question: R4,R4a,R5/S4,S4a,S5


              Last Worked on Job/Number of Years on Job

B4541 (H)	MONTH LAST WORKED.
B4641 (S)	Information on last worked is given only if
		head/spouse is temporarily laid off from their job and
		intends to return (B4510 or B4610 equals 20 or 22). 
		All missing values were imputed.

		xx. month (1 to 12)
		-6. currently working (2858/1307 cases)
		 0. INAP (1179/2779 cases)

	question: R1b/S1b


B4542 (H)	YEAR LAST WORKED.
B4642 (S)	All missing values were imputed.

		1981. (4/0 cases)
		1982. (38/8 cases)
		1983. (24/9 cases)
		  -6. currently working (2858/1307 cases)
		   0. INAP (1179/2779 cases)

	question: R1b/S1b


B4543 (H)	NUMBER OF YEARS SPENT WORKING FOR EMPLOYER.
B4643 (S)	All missing values were imputed.

		xx. years (1 to 59)
		 0. INAP (1179/2779 cases)

	question: R6/S6


                    Job Terms/Wages

B4544 (H)	AVERAGE HOURS PER WEEK WORKED.
B4644 (S)	All missing values were imputed.

		xx. hours (1 to 95)
		 0. INAP (1179/2779 cases)

	question: R8/S8


B4545 (H)	AVERAGE WEEKS PER YEAR WORKED.
B4645 (S)	All missing values were imputed.

		xx. weeks (1 to 52)
		 0. INAP (1179/2779 cases)

	question: R9/S9


B4546 (H)	ANNUAL INCOME.
B4646 (S)	If reported wages were given for periods of less than
		one year they were converted to an annual wage by
		reported hours-per-week and weeks-per-year.  For the area 
                probability sample, All missing values were imputed by
		matching the March 1983 CPS average log-wages for
		persons of same sex, race, age, and 3 digit occupation and 
                adding a random error term.  Imputations were done on
		a per-hour wage basis an adjusted for hours-per-week
		and weeks-per-year.   Imputations were done jointly 
                with past jobs, and were designed so that the error
		terms would have a "random effect" with the same
		correlation as the sample with complete information.  If 
                wages were known for some jobs but not all, this
		information was used in constructing the random
		effect, and thus affected all imputations.  For the high- 
                income sample, imputations were made using
		occupation/age tables constructed from the high-income
		observations with good data.  After matching, random
		terms were added during imputation.

		xxxxxxx. dollars (15 to 1,200,000)
		      0. INAP (1179/2779 cases)

	question: R10/S10


B4547 (H)	WEEKLY INCOME.
B4647 (S)	Computed from annual income (B4546 or B4646), adjusted
		to a weekly wage by reported weeks-per-year (B4545 or
		B4645).  All missing values were imputed as above.

		xxxxx. dollars (1 to 27,273)
		    0. INAP (1179/2779 cases)


B4548 (H)	JOB COVERED BY UNION CONTRACT?
B4648 (S)	All missing values were imputed using conditional mean
		tables with randomization. 

		1. yes (691/229 cases)
		5. no (2233/1095 cases)
		0. INAP (1179/2779 cases)

	question: R11/S11


B4549 (H)	JOB COVERED BY SOCIAL SECURITY?
B4649 (S)	Answer given by respondent.

		 1. yes (2545/1066 cases)
		 5. no (360/245 cases)
		-8. DK (10/8 cases)
		-9. NA (9/5 cases)
		 0. INAP (1179/2779 cases)

	question: R12/S12


B4550 (H)	ESTIMATED SOCIAL SECURITY COVERAGE?
B4650 (S)	Computed from Social Security rules.  No missing values.

		1. yes (2749/1233 cases)
		5. no (175/91 cases)
		0. INAP (1179/2779 cases)


                            Leave Current Job

B4551 (H)	REPORTED NUMBER OF YEARS BEFORE EXPECT TO LEAVE JOB.
B4651 (S)	Answer given by respondent.

		xx. years (1 to 50)
		-7. never retire (478/182 cases)
		-8. DK (208/183 cases)
		-9. NA (69/37 cases)
		 0. INAP (1179/2779 cases)

	question: R7/S7


B4552 (H)	ESTIMATED NUMBER OF YEARS BEFORE EXPECT TO LEAVE JOB.
B4652 (S)	All missing values were imputed for observations where
		head or spouse is over age 39 and for some others
		(otherwise the same as B4551 or B4651). 

		xx. years (1 to 50)
		-7. never retire (304/120 cases)
		-8. DK (266/196 cases)
		-9. NA (86/42 cases)
		 0. INAP (1179/2779 cases)


B4553 (H)	ESTIMATED AGE WHEN EXPECTED TO LEAVE JOB.
B4653 (S)	Estimated years before leaving added to age by birth
		date (B4552 + B4503 or B4652 + B4603).  All missing
		values were imputed for observations where head or spouse 
                is over age 39 and for some others.

		xxx. years (19 to 100)
		 -7. never retire (304/120 cases)
		 -8. DK (266/196 cases)
		 -9. NA (86/42 cases)
		  0. INAP (1179/2779 cases)


                          Other Work For Employer

B4554 (H)	NUMBER OF OTHER TYPES OF WORK (OCCUPATIONS) FOR
B4654		EMPLOYER.

		xx. types of work (1 to 30)
		-8. DK (0/3 cases)
		-9. NA (12/3 cases)
		 0. INAP, no other work for employer (3622/3939 cases)

	question: R14,R14a/S14,S14a


B4555 (H)	YEARS SPENT WORKING ON OTHER WORK.
B4655 (S)
		xx. years (1 to 47)
		-8. DK (5/0 cases)
		-9. NA (13/6 cases)
		 0. INAP (3622/3939 cases)

	question: R14d/S14d


B4556 (H)	3 DIGIT 1970 CENSUS OF POPULATION OCCUPATION CODE
B4656 (S)	OTHER WORK.
		If there are multiple other jobs, the occupation of
		the one where the longest time was spent is coded.
		The occupation is coded from questionnaires by SRC. 

		xxx. see table A1 for codes (1 to 982)
		 -9. NA (16/4 cases)
		  0. INAP (3622/3939 cases)

	question: R14b,R14c/S14b,S14c


B4557 (H)	3 DIGIT 1980 CENSUS OF POPULATION OCCUPATION CODE OTHER
B4657 (S)	WORK.
         	Coded for the longest other job as above.  Computed
		using a program which maps from 1970 codes (B4556 or
		B4656) to 1980 codes. 

		xxx. see table A2 for codes (5 to 900)
		 -9. NA (16/4 cases)
		  0. INAP (3622/3939 cases)


B4558 (H)	DETAILED 1980 CENSUS OF POPULATION OCCUPATION OTHER
B4658 (S)	WORK.
         	Coded for the longest other job as above.
		Census-defined "detailed" occupation groups.  Used by
		the CPS. 

		xx. see table A3 for codes (1 to 51)
		-9. NA (16/4 cases)
		 0. INAP (3622/3939 cases)


                 Calculated Relative Real Wage Growth Variables

     Using the March 1983 CPS survey data, log-wage (annual income) 
was regressed against a constant, age, max(0,age-35), max(0,age-55),
dummies for level of education (high school graduate, some college,
college graduate, and post baccalaureate study -- less than high
school graduate is the omitted category), and dummies for non-white,
self-employment, and less than 20 hours per week of work.  Separate
regressions were run for males and females.  The regressions were also
run separately for each 1980 3 digit occupation code.  This yields
within-occupation expected annual real wage growth rates (abstracting
from economy-wide productivity growth) for three different age spans,
controlling for race and sex.  Predicted values from the regression
also yield the average fulltime annual income by 3 digit occupation
code controlling for age, sex, and race. 

B4559 (H)	WAGE GROWTH SLOPE FOR UNDER 35 YEARS.
B4659 (S)
		xxx. slope times 10000 (-38 to 116)
		  0. zero or INAP (1184/2795 cases)


B4560 (H)	WAGE GROWTH SLOPE FOR AGES 36 TO 55.
B4660 (S)
		xxx. slope times 10000 (-43 to 19)
		  0. zero or INAP (1353/2866 cases)


B4561 (H)	WAGE GROWTH SLOPE FOR AGES OVER 55.
B4661 (S)
		xxxx. slope times 10000 (-117 to 60)
		   0. INAP (1226/2838 cases)


B4562 (H)	INTERCEPT FOR OCCUPATION FROM CPS REGRESSION.
B4662 (S)	This is the sum of the occupation-specific constant
		term plus the dummy variable terms evaluated at the
		values given for the particular observation.

		xxxx. intercept times 1000 (-513 to 3,709)
		   0. INAP (1179/2779 cases)


B4563 (H)	STANDARD ERROR FOR OCCUPATION FROM CPS REGRESSION.
B4663 (S)
		xxxx. standard error times 1000 (321 to 2,558)
		   0. INAP (1179/2779 cases)


B4564 (H)	ANNUAL EXPECTED INCOME CREATED FROM CPS REGRESSION.
B4664 (S)	The variable is for a fulltime worker.

		xxxxx. dollars (773 to 108,744)
		    0. INAP (1179/2779 cases)


                        Occupation Code Employment Data

B4565 (H)	PERCENTAGE OF WEEKS WORKED IN 1982 BY OCCUPATION CODE.
B4665 (S)	The average percentage of yearly weeks worked (out of
		a maximum of 52) for persons of the same 1980 3-digit
		occupation code (B4533 or B4633) as the head (or spouse). 
                These data are calculated from the March 1983 CPS data
		file.  No missing values. 

		xxxx. percentage times 100 (4,999 to 9,785)
		   0. INAP (1179/2779 cases)


B4566 (H)	PERCENTAGE OF HOURS WORKED IN 1982 BY OCCUPATION CODE.
B4666 (S)	The average percentage of yearly hours worked (out of
		a maximum of 2080) for persons of the same 1980
		3-digit occupation code (B4533 or B4633) as the head (or 
                spouse).  These data are calculated from the March
		1983 CPS data file.  No missing values.

		xxxx. percentage times 100 (3,113 to 9,785)
		   0. INAP (1179/2779 cases)


B4567 (H)	PERCENTAGE OF PERSONS IN OCCUPATION UNEMPLOYED IN 1982.
B4667 (S)	The percentage of persons in the same 1980 3-digit
		occupation code (B4533 or B4633) as the head (or
		spouse) that received unemployment or workman's
		compensation in 1982.  These data are calculated from
		the March 1983 CPS data file.  No missing values.

		xxxx. percentage times 100 (212 to 4,943)
		   0. INAP (1179/2779 cases)

                                  PAST JOBS

	(A) Job before retired/disabled or last paid job if
	    unemployed, student, or housewife
	(B) Longest prior job
	(C) Other job from which expect to or now receive pension

	(H) Household head (husband, if married)
	(S) Spouse (wife)

     Detailed job data, comparable to that of the current job, was
asked of up to three previous jobs for both the household head head
and spouse.  Information was solicited on the previous job for all
those unemployed, retired, disabled, students, or housewives.  Data
was also sought on their longest job (prior to the current one), and
any other jobs for which he/she received or expected a pension (most
are military). 

                          Occupation/Industry

B4701 (A) (H)	3 DIGIT 1970 CENSUS OF POPULATION OCCUPATION CODE.
B4731 (B) (H)	Coded from questionnaires by SRC.  Some missing values
B4761 (C) (H)	imputed.
B4801 (A) (S)
B4831 (B) (S)	xxx. see table A1 for codes (1 to 984)
B4861 (C) (S)	 -9. NA (5/49/2/3/27/0 cases)
		  0. INAP, no job (2897/1092/4056/3040/2543/4099 cases)

	question: R28,R28a,R28b/S28,S28a,S28b


B4702 (A) (H)	3 DIGIT 1980 CENSUS OF POPULATION OCCUPATION CODE.
B4732 (B) (H)	Computed using a program which maps from 1970 codes.
B4762 (C) (H)
B4802 (A) (S)	xxx. see table A2 for codes (5 to 900)
B4832 (B) (S)	 -9. NA (5/49/2/3/27/0 cases)
B4862 (C) (S)	  0. INAP (2897/1092/4056/3040/2543/4099 cases)


B4703 (A) (H)	DETAILED 1980 CENSUS OF POPULATION OCCUPATION RECODE.
B4733 (B) (H)	Census-defined "detailed" occupation groups.  Used by the CPS.
B4763 (C) (H)
B4803 (A) (S)	xx. see table A3 for codes (1 to 51)
B4833 (B) (S)	-9. NA (5/49/2/3/27/0 cases)
B4863 (C) (S)	 0. INAP (2897/1092/4056/3040/2543/4099 cases)


B4704 (A) (H)	3 DIGIT 1970 CENSUS OF POPULATION INDUSTRY CODE.
B4734 (B) (H)	Coded from questionnaires by SRC.  Some missing values were
B4764 (C) (H)	imputed.
B4804 (A) (S)
B4834 (B) (S)	xxx. see table A4 for codes (17 to 937)
B4864 (C) (S)	 -9. NA (22/89/3/22/50/0 cases)
		  0. INAP (2897/1092/4056/3040/2543/4099 cases)

	question: R29/S29


B4705 (A) (H)	3 DIGIT 1980 CENSUS OF POPULATION INDUSTRY CODE.
B4735 (B) (H)	Computed using a program which maps from 1970 codes.
B4765 (C) (H)
B4805 (A) (S)	xxx. see table A5 for codes (10 to 900)
B4835 (B) (S)	 -9. NA (22/89/3/22/50/0 cases)
B4865 (C) (S)	  0. INAP (2897/1092/4056/3040/2543/4099 cases)


B4706 (A) (H)	DETAILED 1980 CENSUS OF POPULATION INDUSTRY RECODE.
B4736 (B) (H)	Census-defined "detailed" industry codes.  Used by the CPS.
B4766 (C) (H)
B4806 (A) (S)	xx. see table A6 for codes (1 to 46)
B4836 (B) (S)	-9. NA (22/89/3/22/50/0 cases)
B4866 (C) (S)	 0. INAP (2897/1092/4056/3040/2543/4099 cases)


B4707 (A) (H)	TYPE OF EMPLOYER.
B4737 (B) (H)
B4767 (C) (H)	1. federal government (55/85/3/44/49/1 cases)
B4807 (A) (S)	2. state/local government (94/137/1/69/109/0 cases)
B4837 (B) (S)	3. public school/college (51/90/0/88/114/1 cases)
B4867 (C) (S)	4. private school (12/47/3/23/52/0 cases)
		5. military (23/199/21/4/6/0 cases)
		6. employed by private sector, less than 100 employees
		   (320/966/2/349/485/0 cases)
		7. employed by private sector, more than 100 employees
		   (498/1196/14/420/653/2 cases)
		8. self-employed (148/214/0/54/60/0 cases)
	       -9. DK, NA (5/50/3/12/32/0 cases)
		0. INAP (2897/1092/4056/3040/2543/4099 cases)

	question: R30,R31,R32/S30,S31,S32


                      Last Worked On Job/Years on Job

B4708 (A) (H)	MONTH LAST WORKED.
B4738 (B) (H)	Most missing values were imputed using work history data.
B4768 (C) (H)
B4808 (A) (S)	xx. month (1 to 12)
B4838 (B) (S)	-6. currently working (applies to second jobs with
B4868 (C) (S)	    pensions, mainly military reserves) (2/22/3/0/2/0 cases)
		-8. DK (1/6/0/0/3/0 cases)
		-9. NA (1/19/2/3/10/0 cases)
		 0. INAP (2897/1092/4056/3040/2543/4099 cases)

	question: R33/S33


B4709 (A) (H)	YEAR LAST WORKED.
B4739 (B) (H)	Most missing values were imputed using work history data.
B4769 (C) (H)
B4809 (A) (S)	xxxx. year (1913 to 1983)
B4839 (B) (S)	  -6. currently working (applies to second jobs with
B4869 (C) (S)	      pensions, mainly military reserves) (2/22/3/0/2/0 cases)
		  -8. DK (1/6/0/0/3/0 cases)
		  -9. NA (1/19/2/3/10/0 cases)
		   0. INAP (2897/1092/4056/3040/2543/4099 cases)

	question: R33/S33


B4710 (A) (H)	NUMBER OF YEARS SPENT WORKING FOR EMPLOYER.
B4740 (B) (H)	Most missing values were imputed using work history data.
B4770 (C) (H)
B4810 (A) (S)	xx. years (1 to 61)
B4840 (B) (S)	-8. DK (1/6/0/0/3/0 cases)
B4870 (C) (S)	-9. NA (1/19/2/3/10/0 cases)
		 0. INAP (2897/1092/4056/3040/2543/4099 cases)

	question: R34/S34


                            Job Terms/Wages

B4711 (A) (H)	AVERAGE HOURS PER WEEK WORKED.
B4741 (B) (H)	Most missing values were imputed using work history data.
B4771 (C) (H)
B4811 (A) (S)	xx. hours (1 to 95)
B4841 (B) (S)	-8. DK (1/4/0/0/2/0 cases)
B4871 (C) (S)	-9. NA (1/20/2/3/10/0 cases)
		 0. INAP (2897/1092/4056/3040/2543/4099 cases)

	question: R35/S35


B4712 (A) (H)	AVERAGE WEEKS PER YEAR WORKED.
B4742 (B) (H)	Most missing values were imputed using work history data.
B4772 (C) (H)
B4812 (A) (S)	xx. weeks (1 to 52)
B4842 (B) (S)	-8. DK (1/4/0/0/2/0 cases)
B4872 (C) (S)	-9. NA (1/21/2/3/10/0 cases)
		 0. INAP (2897/1092/4056/3040/2543/4099 cases)

	question: R36/S36


B4713 (A) (H)	ANNUAL INCOME FROM JOB WHEN LEFT.
B4743 (B) (H)	If reported wages were given for periods of less than one year
B4773 (C) (H)	they were converted to an annual wage by reported hours-per-
B4813 (A) (S)	week and weeks-per-year.  Almost all missing values were
B4843 (B) (S)	imputed by matching the March 1983 CPS average log-wages for
B4873 (C) (S)	persons of the same sex, race, age, and 3 digit
		occupation and adding a random error term for the area
		probability sample.  Imputations were done on a per-hour 
                wage basis and adjusted for hours-per-week and
		weeks-per-year.  Imputed values were deflated back to
		the year of the job using the aggregate wage index. 
                Imputations were done jointly with for all past and
		current jobs, and were designed so that the error
		terms would have a "random effect" with the same
		correlation as the non-imputed sample.  If wages were
		known for some jobs but not all, this information was
		used in constructing the random effect, and thus
		affected all imputations.  Imputations were not made for the
		high-income sample except in very limited cases
		(e.g. military). 

		xxxxxxx. dollars (5 to 1,000,000)
		     -8. DK (4/22/0/0/6/0 cases)
		     -9. NA (7/47/2/5/19/0 cases)
		      0. INAP (2897/1092/4056/3040/2543/4099 cases)

	question: R37/S37


B4714 (A) (H)	ANNUAL INCOME FROM JOB WHEN LEFT IN 1983 DOLLARS
B4744 (B) (H)	Computed from nominal income.  Adjusted by the CPI to April
B4774 (C) (H)	1983 (the 1967 CPI index = 295.5).  Amost all missing values
B4814 (A) (S)	were imputed.
B4844 (B) (S)
B4874 (C) (S)	xxxxxxx. 1983 dollars (5 to 1,016,862)
		     -8. DK (4/22/0/0/6/0 cases)
		     -9. NA (7/48/2/5/19/0 cases)
		      0. INAP (2897/1092/4056/3040/2543/4099 cases)


B4715 (A) (H)	JOB COVERED BY UNION CONTRACT?
B4745 (B) (H)	No missing values were imputed.
B4775 (C) (H)
B4815 (A) (S)	 1. yes (345/566/3/160/213/1 cases)
B4845 (B) (S)	 5. no (850/2376/41/876/1303/3 cases)
B4875 (C) (S)	-8. DK (5/24/0/13/21/0 cases)
		-9. NA (6/45/3/14/23/0 cases)
		 0. INAP (2897/1092/4056/3040/2543/4099 cases)

	question: R38/S38


B4716 (A) (H)	JOB COVERED BY SOCIAL SECURITY?
B4746 (B) (H)	Answer given by respondent.  No missing values were imputed.
B4776 (C) (H)
B4816 (A) (S)	 1. yes (971/2547/25/875/1336/0 cases)
B4846 (B) (S)	 5. no (218/370/19/167/184/4 cases)
B4876 (C) (S)	-8. DK (9/48/0/11/16/0 cases)
		-9. NA (8/46/3/10/24/0 cases)
		 0. INAP (2897/1092/4056/3040/2543/4099 cases)

	question: R39/S39


B4717 (A) (H)	ESTIMATED SOCIAL SECURITY COVERAGE?
B4747 (B) (H)	Computed from Social Security rules.  Almost no missing
B4777 (C) (H)	values.
B4817 (A) (S)
B4847 (B) (S)	 1. yes (1094/2695/35/934/1415/3 cases)
B4877 (C) (S)	 5. no (110/283/10/125/128/1 cases)
		-9. NA (2/33/2/4/17/0 cases)
		 0. INAP (2897/1092/4056/3040/2543/4099 cases)

                 Calculated Relative Real Wage Growth Variables

     Using the March 1983 CPS survey data, log-wage (annual income)
was regressed against a constant, age, max(0,age-35), max(0,age-55),
dummies for level of education (high school graduate, some college,
college graduate, and post baccalaureate study -- less than high
school graduate is the omitted category), and dummies for non-white,
self-employment, and less than 20 hours per week of work.  Separate
regressions were run for males and females.  The regressions were also
run separately for each 3 digit occupation code.  This yields
within-occupation expected annual real wage growth rates (abstracting
from economy-wide productivity growth) for three different age spans,
controlling for race and sex.  Predicted values from the regression
also yield the average fulltime annual income by 3 digit occupation
code controlling for age, sex, and race.  These variables are not
given for the high-income sample. 

B4718 (A) (H)	WAGE GROWTH SLOPE FOR UNDER 35 YEARS.
B4748 (B) (H)
B4778 (C) (H)	xxx. slope times 10000 (-38 to 116)
B4818 (A) (S)	  0. zero, NA, or INAP (2906/1148/4058/3067/2602/4099
B4848 (B) (S)		     cases)
B4878 (C) (S)


B4719 (A) (H)	WAGE GROWTH SLOPE FOR AGES 36 TO 55.
B4749 (B) (H)
B4779 (C) (H)	xxxx. slope times 10000 (-43 to 19)
B4819 (A) (S)	   0. zero, NA or INAP (2977/1321/4060/3139/2709/4099
B4849 (B) (S)		      cases)
B4879 (C) (S)


B4720 (A) (H)	WAGE GROWTH SLOPE FOR AGES OVER 55.
B4750 (B) (H)
B4780 (C) (H)	xxxx. slope times 10000 (-117 to 60)
B4820 (A) (S)	   0. NA or INAP (2969/1222/4059/3092/2655/4100 cases)
B4850 (B) (S)
B4880 (C) (S)


B4721 (A) (H)	INTERCEPT FOR OCCUPATION FROM CPS REGRESSION.
B4751 (B) (H)	This is the sum of the occupation-specific constant term plus
B4781 (C) (H)	the dummy variable terms evaluated at the values given for the
B4821 (A) (S)	particular observation.
B4851 (B) (S)
B4881 (C) (S)	xxxx. intercept times 1000 (-513 to 3,709)
		   0.  NA or INAP (2902/1141/4058/3043/2570/4099 cases)


B4722 (A) (H)	STANDARD ERROR FOR OCCUPATION FROM CPS REGRESSION.
B4752 (B) (H)
B4782 (C) (H)	xxxx. standard error times 1000 (298 to 2,558)
B4822 (A) (S)	   0.  NA or INAP (2902/1141/4058/3043/2570/4099 cases)
B4852 (B) (S)
B4882 (C) (S)


B4723 (A) (H)	ANNUAL EXPECTED INCOME CREATED FROM CPS REGRESSION.
B4753 (B) (H)	Variable is for a fulltime worker.  Expressed in 1983
B4783 (C) (H)	dollars.
B4823 (A) (S)
B4853 (B) (S)	xxxxx. 1983 dollars (801 to 108,202)
B4883 (C) (S)	   -9. NA (5/54/2/5/28/0 cases)
		    0. INAP (2897/1092/4056/3040/2543/4099 cases)

                         PENSION FOR CURRENT JOB

                  (H) Household head (husband, if married)
			 (S) Spouse (wife)

     All current job holders were asked two sets of pension questions.
The first, which is described here, related to primary pension plans.
The second, described in the next section, related to thrift-type or
secondary pension plans.  The taxonomy, however, was self-defined by
the respondent.  If head/spouse was currently covered by a primary
pension plan, all questions in this section were asked.  Otherwise
only the first two questions on coverage were asked. 

                             Pension Coverage

B4901 (H)	PENSION COVERAGE.
B5001 (S)
		1. covered and vested, anticipates benefits (1063/326 cases)
		2. covered and DK if vested, anticipates benefits (56/31 cases)
		3. covered but not vested yet, anticipates benefits
                   (357/147 cases) 
		4. covered but not vested yet, does not anticipate
                   benefits (51/23 cases) 
		5. not covered, anticipates will be (pension questions
                   not asked) (131/64 cases)
		6. not covered, never will be (pension questions not
                   asked) (663/482 cases) 
		7. not covered, DK whether will be in future (pension
                   questions not asked) (117/46 cases)
		8. self-employed (pension questions not asked) (487/204 cases)
		0. INAP, not currently working (1179/2779 cases)

		question: R15,R15a/S15,S15a


B4902 (H)	AGE WHEN EXPECT TO BE COVERED.
B5002 (S)	Answered only if not currently covered but will or may
                be (pension coverage code, B4901 or B5001, equals 5 or 7).

		xx. years (16 to 67)
		-8. DK (29/15 cases)
		-9. NA (134/51 cases)
		 0. INAP, currently covered, or never covered (3855/3993 cases)

		question: R15b/S15b
B3309 	NET PRESENT VALUE OF PENSIONS FROM CURRENT JOBS.
	The sum of the gross present value of current job pension
        benefits, excluding thrift accounts, for head and spouse
        (B3310) minus the present value of wage contribution
        liabilities (B3311).  Expectations data used for calculations.
        No missing values for households where head or spouse is over
        age 39.  

	xxxxxxx. dollars (xxx to xxxxxxx)
	     -9. NA
	      0. INAP


B3310 	GROSS PRESENT VALUE OF PENSIONS FROM CURRENT JOBS.
	The sum of the gross present value of current job pension
        benefits, excluding thrift accounts, for head and spouse
        (B4920 + B5020).  Expectations data used for calculations.  No
        missing values for households where head or spouse is over age 39.

	xxxxxxx. dollars (xx to xxxxxxx)
	     -9. NA
	      0. INAP


B3311 	PRESENT VALUE OF PENSION LIABILITY FROM CURRENT JOBS.
	The sum of the gross present value of current job pension
        contributions for head and spouse (B4928 + B5028).  No missing
        values for households where head or spouse is over age 39.

	xxxxxx. dollars (xx to xxxxxx)
	    -9. NA
	     0. INAP


B3312 	TOTAL DEFINED CONTRIBUTION ACCOUNT PENSION ASSETS.
	The total amount in defined contribution pension accounts of
        the current job of head or spouse which could be withdrawn if
        the employee left the firm (B4930 + B5030).  This total is
        also included in B3309.  No missing values. 

	xxxxxx. dollars (10 to 2,000,000)
	    -6. none withdrawable but have defined contribution
                account (103 cases) 
	     0. none (3528 cases)


                        Number and Type of Plans

B4903 (H)	NUMBER OF DISTINCT PENSION PLANS.
B5003 (S)
		1. one (1043/362 cases)
		2. optional parts (198/76 cases)
		3. more than one plan (109/26 cases)
	       -8. DK (151/60 cases)
	       -9. NA (26/3 cases)
		0. INAP, no pension plan (2576/3576 cases)

		question: R16a/S16a


B4904 (H)	TYPE OF PENSION PLAN.
B5004 (S)	If more than one plan, the type of main plan.  No
                missing values were imputed. 

		1. defined benefit (772/249 cases)
		3. features of both defined benefit and defined
                   contribution (300/105 cases) 
		5. defined contribution (173/58 cases)
	       -8. DK (250/108 cases)
	       -9. NA (32/7 cases)
		0. INAP (2576/3576 cases)

		question: R23/S23


B4905 (H)	WHETHER OTHER EMPLOYERS ARE ON MAIN PLAN?
B5005 (S)	No missing values were imputed.

		1. yes (427/184 cases)
		5. no (918/281 cases)
	       -8. DK (153/60 cases)
	       -9. NA (29/2 cases)
		0. INAP (2576/3576 cases)

		question: R16/S16
 

B4906 (H)	AGE COVERED ON FIRST OR MAIN PLAN.
B5006 (S)	Computed by subtracting the years covered on the main
                plan from age by birth date. Most missing values were imputed.

		xx. years (16 to 74)
		-8. DK (42/16 cases)
		-9. NA (55/15 cases)
		 0. INAP (2576/3576 cases)

		question: R15b/S15b


B4907 (H)	AGE COVERED ON SECOND PLAN.
B5007 (S)	Computed by subtracting the years covered on the
		second plan from age by birth date.  Most missing
		values were imputed. 

		xx. years (16 to 60)
		-8. DK (38/7 cases)
		-9. NA (179/81 cases)
		 0. INAP or only one plan (3631/3938 cases)

		question: R16c/S16c


                                         Retirement Ages

B4908 (H)	AGE AT WHICH RESPONDENT WILL BE VESTED IN MAIN PLAN.
B5008 (S)	Some missing values were imputed.  Given only if
		covered but not vested. 

		xx. years (22 to 75)
		-6. already vested (1063/326 cases)
		-8. DK (119/79 cases)
		-9. NA (21/9 cases)
		 0. INAP (2576/3576 cases)

		question: R16d,R16e/S16d,S16e


B4909 (H)	AGE AT WHICH RESPONDENT COULD RETIRE WITH FULL
B5909 (S)	BENEFITS.
		Values were imputed only in cases where it was clear that the
		question was misinterpreted.

		xx. years (22 to 85)
		-8. DK (263/99 cases)
		-9. NA (63/14 cases)
		 0. INAP (2576/3576 cases)

		question: R17/S17


B4910 (H)	FORMULA FOR TIMING OF RETIREMENT WITH FULL BENEFITS.
B5010 (S)	Values were imputed only in a few cases where it was
		clear that the question was misinterpreted.

		1. retirement formula based on age (615/209 cases)
		2. retirement formula based on years of service (333/125 cases)
		3. retirement formula based on meeting both age and
		   years of service criteria (135/44 cases)
		4. retirement formula based on the sum or age and
		   years of service (8/2 cases) 
		6. retirement formula based on meeting either age or
		   years of service criteria (120/36 cases)
		7. other combinations or formulas (8/2 cases)
	       -8. DK (254/97 cases)
	       -9. NA (54/12 cases)
		0. INAP (2576/3576 cases)

		question: R17/S17

B4911 (H)	AGE AT WHICH RESPONDENT COULD FIRST RETIRE WITH SOME
B5011 (S)	BENEFITS.
		Values were imputed only in cases where it was clear that the
		question was misinterpreted.

		xx. years (22 to 69)
		-6. cannot retire early with reduced benefits (316/119 cases)
		-7. other non-numeric answer given (1/0 cases)
		-8. DK (406/158 cases)
		-9. NA (81/20 cases)
		 0. INAP (2576/3576 cases)

		question: R18,R19/S18,S19


B4912 (H)	FORMULA FOR TIMING OF EARLY RETIREMENT WITH SOME
B5012 (S)	BENEFITS.
		Values were imputed only in a few cases where it was
		clear that the question was misinterpreted.  Asked
		only if early retirement is possible (see B4911 and B5011). 

		1. retirement formula based on age (370/104 cases)
		2. retirement formula based on years of service (237/90 cases)
		3. retirement formula based on meeting both age and
		   years of service criteria (71/21 cases)
		4. retirement formula based on the sum or age and
		   years of service (1/1 cases) 
		6. retirement formula based on meeting either age or
		   years of service criteria (51/16 cases)
		7. other combinations or formulas (13/5 cases)
               -6. cannot retire early (316/119 cases)
	       -8. DK (399/156 cases)
	       -9. NA (69/15 cases)
		0. INAP (2576/3576 cases)

		question: R19/S19


B4913 (H)	AGE AT WHICH RESPONDENT EXPECTS BENEFITS TO START.
B5013 (S)	All missing values were imputed.  This question is
		answered even if respondent does not expect to work
		long enough to receive benefits.  It is the age that 
                respondent expects to begin drawing benefits if it
		turns out that he/she does receive them.

		xx. years (34 to 85)
		 0. INAP (2576/3576 cases)

		question: R20/S20


B4914 (H)	NUMBER OF YEARS UNTIL BENEFITS START.
B5014 (S)	Computed from age at which benefits are expected to
		start (B4913 or B5013) and current age as given by
		birth date (B4503 or B4603).  All missing values were 
                imputed.

		xx. years (1 to 48)
		 0. INAP (2576/3576 cases)


                           Retirement Benefits

B4915 (H)	ANNUAL PAY IN THE FINAL YEAR OF JOB.
B5015 (S)	This variable, used in pension benefit calculations,
		is computed by projecting current pay to the year
		respondents say he/she will leave/retire.  Wage growth is 
		assumed to have three components:  (1) occupation
		specific (adjusted for age) taken from the slopes in
		the CPS log-wage regressions (for high-income
		observations this is assumed to be zero); (2) a Social
		Security Plan II-B assumption of 1.5% annual economy
		wide real wage growth; and (3) a Social Security Plan
		II-B assumption of 4.0% inflation.  The variable is
		computed for all observations where the age of
		retirement (B4553 or B4653) is given or has been imputed.

		xxxxxxx. dollars (25 to 2,959,572)
		     -9. NA (223/134 cases)
		      0. INAP (1178/2780 cases)


B4916 (H)	REPORTED EXPECTATION OF RETIREMENT BENEFITS.
B5016 (S)	Variable is the expected dollar retirement benefits in
		the first year of eligibility as answered by the
		respondent.  For some observations the dollar amount
		was reported directly, but for others it was computed
		by multiplying reported benefits as a percentage times
		the calculated projected final wage.  The variable is
		given as an annual amount except when a lump sum is
		expected (in which case the lump sum amount is given).

		xxxxxx. dollars (100 to 3,000,000)
		    -6. none, covered under plan but don't expect
			benefits (11/4 cases) 
		    -8. DK (822/343 cases)
		    -9. NA (258/62 cases)
		     0. INAP (2576/3576 cases)

		question: R21/S21


B4917 (H)	REPORTED EXPECTED RETIREMENT BENEFITS AS PERCENT OF
B5017 (S)	FINAL PAY.
		This variable is the expected retirement benefits in
		the first year of eligibility as answered by the
		respondent, expressed as a percent of their projected
		wages in their final year of work.  For some
		observations the percent was reported directly, but
		for others it was computed by dividing the reported
		dollar benefit by the calculated projected final wage.

		xxxx. percentage times 10 (4 to 1,000)
		  -6. none, covered under plan but don't expect
		      benefits (11/7 cases) 
		  -7. answer above (B4916 or B5016) is a lump sum
		      benefit in dollars (19/8 cases)
		  -8. DK (35/19 cases)
		  -9. NA (1275/472 cases)
		   0. INAP (2576/3576 cases)

		question: R21/S21


B4918 (H)	EXPECTED RETIREMENT BENEFITS.
B5018 (S)	This variable is the expected dollar retirement
		benefits in the first year of eligibility as shown
		above (B4916 or B5016), but with missing values imputed for 
                households where the head or spouse is over age 39.
		Imputations were made using a regression for benefits
		as a percent of final wages (see B4919 or B5019) with a 
                random term added.  The variable is given as an annual
		amount except when a lump sum is expected (in which
		case the lump sum amount is given). 

		xxxxxxx. dollars (100 to 3,000,000)
		     -6. none, covered under plan but don't expect
			 benefits (51/23 cases) 
		     -8. DK (389/175 cases)
		     -9. NA (40/14 cases)
		      0. INAP (2576/3576 cases)


B4919 (H)	EXPECTED RETIREMENT BENEFITS AS A PERCENT OF FINAL PAY.
B5019 (S)	This variable is the expected retirement benefits in
		the first year of eligibility expressed as a percent
		of their projected wages in their final year of work.  All 
                missing values were imputed for households where the
		head or spouse is over age 39.  Otherwise, these
		variables are the same as B4917 or B5017.  Imputations were 
                made using the same regression as B4918 and B5018.

		xxxxx. percentage times 10 (3 to 20,000)
		   -6. none, covered under plan but don't expect
		       benefits (51/23 cases) 
		   -7. answer above (B4918 or B5018) is a lump sum
		       benefit in dollars (19/8 cases)
		   -8. DK (9/4 cases)
		   -9. NA (429/184 cases)
		    0. INAP (2576/3576 cases)


B4920 (H)	PRESENT VALUE OF PENSION BENEFITS FROM MAIN PLAN.
B5020 (S)	This variable is measured assuming an annual (or lump
		sum) pension benefit as given above, starting in the
		year of first benefits.  Benefits for that and each 
                succeeding year are adjusted for the probability of
		death and are discounted back to 1983.  Sex-based
		Social Security mortality tables are used to compute the 
                probabilities of death (standard for each year).
		These are capped at 109 years.  Spousal survival
		benefits are assumed to be opted for 75 percent the
		time and are randomly assigned when appropriate.
		Spousal survival benefits are also adjusted 
                for death probabilities.  Benefits are discounted at
		the 1983 long-term U.S. government bond rate of 10.85
		percent.  The variable is currently calculated only 
                for observations where head or spouse is over age 39.

		xxxxxxx. dollars (493 to 918,860)
		     -9. not calculated (713/270 cases)
		      0. zero or INAP (2576/3576 cases)


                     Contributions to Main Retirement Plans

B4921 (H)	PERCENTAGE OF PAY EMPLOYEE REQUIRED TO CONTRIBUTE
B5021 (S)	IN 1982.
		All missing values were imputed.  Imputations were
		made using a regression of percent of pay with a
		random term added.  Handled differently for first year 
                employees.

		xxx. percentage times 10 (1 to 200)
		 -6. none (1139/441 cases)
		  0. INAP (2576/3576 cases)

		question: R22a,R22b/S22a,S22b


B4922 (H)	DOLLAR AMOUNT EMPLOYEE REQUIRED TO CONTRIBUTE IN 1982.
B5022 (S)	All missing values were imputed using the same
		regression as above (B4921 or B5021).

		xxxxx. dollars (26 to 45,470)
		   -6. none (1139/441 cases)
		    0. INAP (2576/3576 cases)


B4923 (H)	PERCENTAGE OF PAY EMPLOYEE VOLUNTARILY CONTRIBUTED
B5023 (S)	IN 1982.
		All missing values were imputed.  Imputations were
		made using a regression of percent of pay with a
		random term added.  First year employees were handled 
                differently.

		xxxx. percentage times 10 (3 to 1,916)
		  -6. none (1241/428 cases)
		   0. INAP (2576/3576 cases)

		question: R22c,R22d/S22c,S22d


B4924 (H)	DOLLAR AMOUNT EMPLOYEE VOLUNTARILY CONTRIBUTED
B5024 (S)	IN 1982.
		All missing values were imputed using the same
		regression as above (B4923 or B5023).

		xxxxxx. dollars (36 to 400,000)
		    -6. none (1241/428 cases)
		     0. INAP (2576/3576 cases)


B4925 (H)	PERCENTAGE OF PAY EMPLOYER CONTRIBUTED IN 1982.
B5025 (S)	Answered only for defined contribution or mixed plans.
		All missing values were imputed.  Imputations were
		made using a regression of percent of pay with a random 
                term added.  First year employees were handled differently.

		xxx. percentage times 10 (6 to 350)
		 -6. none (48/19 cases)
		  0. INAP, no defined contribution plan (3630/3940 cases)

		question: R23a,R23b/S23a,S23b


B4926 (H)	DOLLAR AMOUNT EMPLOYER CONTRIBUTED IN 1982.
B5026 (S)	All missing values were imputed using the same
		regression as above (B4925 or B5025).

		xxxxxx. dollars (12 to 210,000)
		    -6. none (48/19 cases)
		     0. INAP, no defined contribution plan (3630/3940 cases)


B4927 (H)	PRESENT VALUE OF ALL FUTURE WAGES FOR CURRENT JOB.
B5027 (S)	This variable is computed using the same wage growth
		assumptions as used to compute the wage in the final
		year of the job.  The present value of future wages 
		is computed by discounting the wages of each year back
		to 1983 using the 1983 long-term U.S. Government bond
		rate of 10.85 percent.  This variable is computed 
                for all observations where the age of retirement
		(B4553 or B4653) is given or has been imputed.

		xxxxxxxx. dollars (43 to 14,861,994)
		      -9. NA, not calculated (223/xxx cases)
		       0. INAP (1232/2779 cases)

B4928 (H)	PRESENT VALUE OF PENSION CONTRIBUTIONS (LIABILITIES).
B5028 (S)	This variable is computed by multiplying the present
		value of future wages for the current job, times the
		sum of the employer and employee contribution rates.  If 
                neither contribution rate is known, or for defined
		benefit plans, an average contribution rate of 5.5
		percent is used.  This variable is computed for all 
                observations where the age of retirement (B4553 or
		B4653) is given or has been imputed.

		xxxxxx. dollars (xxx to xxxxxx)
		    -9. NA, not calculated (xxx/xxx cases)
		     0. none, INAP


                     Amount in Defined Contribution Account

B4929 (H)	DOLLAR AMOUNT IN ACCOUNT.
B5029 (S)	The gross amount in the account, including taxable and
		non-taxable portions.  Given only for plans with
		defined contribution features (B4904 equals 3 or 5 or 
                B5004 equals 3 or 5).  All missing values were
		imputed.  Imputations were made using regression of
		log-value with a random term added.  First year
		employees were handled differently.

		xxxxxxx. dollars (50 to 2,000,000)
		      0. INAP, no defined contribution account
			 (3630/3940 cases) 

		question: R23c/S23c


B4930 (H)	DOLLAR AMOUNT WITHDRAWABLE NOW.
B5030 (S)	The amount in the account that could be withdrawn if
		the employee left the firm now, including taxable and
		non-taxable portions.  All missing values were imputed. 
                Imputations were made using a regression of
		percent-withdrawable with a random term added.

		xxxxxxx. dollars (10 to 2,000,000)
		     -6. none withdrawable now (90/27 cases)
		     -7. other, non-numeric, response (4/1 cases)
		      0. INAP (3630/3940 cases)

		question: R23d/S23d


B4931 (H)	PERCENTAGE OF ACCOUNT WITHDRAWABLE NOW.
B5031 (S)	The percentage of the account that could be withdrawn
		if the employee left the firm now, including taxable
		and non-taxable portions.  Computed from the amount in 
                the account and the portion withdrawable now.  All
		missing values were imputed using the same regression
		as B4930 or B5030. 

		xxxx. percentage times 10 (3 to 1,000)
		  -6. none withdrawable now (90/27 cases)
		  -7. other, non-numeric, response (4/1 cases)
		   0. INAP (3630/3940 cases)

		question: R23d/S23d
                                
                     THRIFT-TYPE PLANS FOR CURRENT JOB

                  (H) Household head (husband, if married)
			   (S) Spouse (wife)

     If respondent and/or their spouse was working, information was
sought on thrift, profit sharing, or other tax-deferred compensation
or savings plans that respondent (or their spouse) participated in at
their firm.  Primary pension plans are excluded (listed in the
previous section).  Employer IRA or Keogh plans were moved to the
Financial Assets Section. 

                           Thrift-Type Plan Code

B4941 (H)	PARTICIPATION IN TAX-DEFERRED COMPENSATION OR SAVINGS
B5041 (S)	PLANS.

		2. thrift plan, savings plan, savings investment plan
		   (131/29 cases) 
		3. profit sharing plan (exception NFS) (160/50 cases)
		4. stock option plan, ESOP, stock ownership, stock
		   savings plan (39/8 cases) 
		5. annuity plan (23/9 cases)
		7. tax sheltered, tax deferred, deferred compensation
		   plan not otherwise codable (22/11 cases)
		8. company name given, type of account NA (11/5 cases)
	        9. other type (14/6 cases)
	       -8. DK (59/14 cases)
	       -9. NA (15/3 cases)
		0. INAP, no thrift account (3629/3968 cases)

		question: R24,R24a/S24,S24a


B3306 	TOTAL THRIFT-TYPE PENSION ACCOUNT ASSETS.
	The sum of current withdrawable amounts in thrift-type
	accounts for head and spouse (B4947 + B5047).  All missing
	values were imputed. 

	xxxxxxx. dollars (1 to 1,600,000)
	      0. none


                     Contributions to Thrift-Type Plans

B4942 (H)	PERCENTAGE OF PAY EMPLOYEE CONTRIBUTED IN 1982.
B5042 (S)	All missing values were imputed.  Imputations were
		made using a regression of percent of pay with a
		random term added.  First year employees were handled 
                differently.

		xxx. percentage times 10 (1 to 400)
		 -6. none (181/58 cases)
		  0. INAP (3629/3968 cases)

		question: R24b,R24c/S24b,S24c


B4943 (H)	DOLLAR AMOUNT EMPLOYEE CONTRIBUTED IN 1982.
B5043 (S)	All missing values were imputed using the same
		regression as above (B4942 or B5042).

		xxxxxx. dollars (48 to 100,000)
		    -6. none (181/58 cases)
		     0. INAP (3629/3968 cases)


B4944 (H)	PERCENTAGE OF PAY EMPLOYER CONTRIBUTED IN 1982.
B5044 (S)	All missing values were imputed.  Imputations were
		made using a regression of percent of pay with a
		random term added.  First year employees were handled 
                differently.

		xxxx. percentage times 10 (1 to 1,429)
		  -6. none (113/40 cases)
		   0. INAP (3629/3968 cases)

		question: R24d,R24e/S24d,S24e


B4945 (H)	DOLLAR AMOUNT EMPLOYER CONTRIBUTED IN 1982.
B5045 (S)	All missing values were imputed using the same
		regression as above (B4944 or B5044).

		xxxxxx. dollars (20 to 210,000)
		    -6. none (113/40 cases)
		     0. INAP (3629/3968 cases)


                       Amount in Thrift-Type Account

B4946 (H)	DOLLAR AMOUNT IN THRIFT-TYPE ACCOUNT.
B5046 (S)	The gross amount in the account including taxable and
		non-taxable portions.  All missing values were
		imputed.  Imputations were made using a regression of log- 
                value with a random term added.  First year employees
		were handled differently. 

		xxxxxxx. dollars (5 to 1,600,000)
		      0. INAP (3629/3968 cases)

		question: R23f/S23f


B4947 (H)	DOLLAR AMOUNT WITHDRAWABLE FROM THRIFT-TYPE
B5047 (S)	ACCOUNT NOW.
         	The amount in the account that could be withdrawn if
		the employee left the firm now, including taxable and
		non-taxable portions.  All missing values were imputed. 
                Imputations were made using a regression of
		percent-withdrawable with a random term added.  First
		year employees were handled differently. 

		xxxxxxx. dollars (5 to 1,600,000)
		     -6. none (40/10 cases)
		      0. INAP (3629/3968 cases)

		question: R23g/S23g


B4948 (H)	PERCENTAGE OF THRIFT-TYPE ACCOUNT WITHDRAWABLE NOW.
B5048 (S)	The percentage of the account that could be withdrawn
		if the employee left the firm now, including taxable
		and non-taxable portions.  Computed from the amount in 
                the account and the portion withdrawable now.  All
		missing values were imputed using the same regression
		as above (B4947 or B5047). 

		xxxx. percentage times 10 (10 to 1000)
		  -6. none (40/10 cases)
		   0. INAP (3629/3968 cases)

                         PENSIONS FROM PAST JOBS

	(A) Job before retired/disabled or last paid job if
	    unemployed, student, or housewife
	(B) Longest prior job
	(C) Other job from which expect to or now receive pension

	(H) Household head (husband, if married)
	(S) Spouse (wife)

     For each past job for which data was recorded for either head or
spouse, respondent was asked whether the household was currently
receiving or expecting a pension from the job.  Data are given 
here for all jobs with a positive response.

                           Past Job Pension Code

B4949 (H)	PAST JOB PENSION CODE.
B5049 (S)
		1. currently receiving pension benefits from at least
		   one past job (449/69 cases)
		2. currently receiving pension benefits from at least
		   one past job, and expect more in future from
		   another (1/1 cases) 
		3. not currently receiving pension benefits from a
		   past job but expect to in future (231/67 cases)
		0. no pension from any past job, INAP (3422/2498 cases)


B3307 	NET PRESENT VALUE OF PENSIONS FROM PAST JOBS.
	The sum of the net present value of all pensions for past jobs
	for both head and spouse listed in this section (B4968 + B4978
	+ B4988 + B5068 + B5078 + B5088).  No missing values.

	xxxxxxx. dollars (xx to xxxxxxx)
	      0. none


B3308 	NET PRESENT VALUE OF PENSIONS FROM OTHER SOURCES.
	The sum of the present value of pensions (private or Social
	Security) determined to be currently received by the
	household, but not attributable to the head or spouse current
	or listed past job, or Social Security.  No missing values. 

	xxxxxxx. dollars (xx to xxxxxxx)
	      0. none


                      Pensions From Other Sources

B4950 	ESTIMATE OF TYPE OF OTHER PENSION.
	A comparison of the reported private and Social Security
	pensions currently received by the household head or spouse
	with the pension item in the Income Section indicated that in
	some cases there were likely to be additional household 
        pensions.  These could be pensions due other household members
	or pensions received by head or spouse, but not from their own
	jobs (such as widows receiving survivors benefits).  This
	constructed variable and B4951 - B4954 which follow are 
        educated guesses on the likely amounts of these additional
	pensions, and their source.  No missing values.

	1. other pension for head from past job (27 cases)
	2. survivor benefits received by widow or widower (210 cases)
	3. military disability payment received by head (27 cases)
	4. other pension for spouse from past job (44 cases)
	5. head and spouse joint pension or annuity (3 cases)
	6. pension of other household member (41 cases)
	7. NA source, included in total (B3308) (6 cases)
	8. NA source, not included in total (B3308) (7 cases)
	0. INAP, no other pension source (3738 cases)


B4951 	SEX OF RECIPIANT.
	If the pension is attributable to the head (B4950 = 1, 2, 3,
	5, 7, or 8) this is the sex of the head.  If attributable to
	the spouse (B4950 = 4) it is the sex of the spouse.  If
	attributable to other household members (B4950 = 6), this is the 
        sex of the individual (if one person) or the male (such as
	elderly parents).  No missing values.

	1. male (79 cases)
	2. female (286 cases)
	0. INAP (3738 cases)


B4952 	AGE OF RECIPIENT.
	If there is more than one recipient this is the age of the
	recipient referred to in B4951.

	xx. years (31 to 91)
	 0. INAP (3738 cases)


B4953 	AGE OF SECOND RECIPIENT.
	If there is more than one recipient (B4950 = 5 and sometimes
	6, 7, or 8), this is the age of the second recipient.  The sex
	of this recipient is always female. 

	xx. years (47 to 79)
	 0. INAP, no second recipient (4082 cases)


B4954 	AMOUNT OF OTHER PENSIONS.
	An estimate of the amount received by the household in other
	pensions in 1982. 

	xxxxxx. dollars (134 to 200,000)
	     0. INAP (3738 cases)


                 Current Pension Benefits From Past Jobs

B4961 (A) (H)	NUMBER OF YEARS RECEIVING BENEFITS.
B4971 (B) (H)	Answered only if currently receiving benefits.  All missing
B4981 (C) (H)	values imputed.
B5061 (A) (S)
B5071 (B) (S)	xx. years (1 to 39)
B5081 (C) (S)	0. INAP, not currently receiving benefits
		   (3730/4007/4078/4043/4092/4103 cases)

		question: R41,R41a/S41,S41a


B4962 (A) (H)	AMOUNT RECEIVED IN 1982.
B4972 (B) (H)	Answered only if currently receiving benefits.  All missing
B4982 (C) (H)	values imputed.  Imputations were made using a variety of
B5062 (A) (S)	means, including income data and a log-value regression with a
B5072 (B) (S)	random term added.
B5082 (C) (S)
		xxxxxx. dollars (130 to 110,000)
		    -6. none, started in 1983 (19/1/0/2/0/0 cases)
		     0. INAP (3730/4007/4078/4043/4092/4103 cases)

		question: R41b/S41b


          Timing of the Start of Pension Benefits/Benefit Amount

B4963 (A) (H)	NUMBER OF YEARS UNTIL BENEFITS START.
B4973 (B) (H)	Answered only if not currently receiving benefits, but will
B4983 (C) (H)	in the future.  All missing values were imputed.
B5063 (A) (S)
B5073 (B) (S)	xx. years (1 to 42)
B5083 (C) (S)	 0. INAP, currently receiving or never receive
		    (4060/3923/4086/4078/4062/4099 cases)

		question: R42,R43/S42,S43


B4964 (A) (H)	AGE AT WHICH BENEFITS BEGAN/AGE AT WHICH BENEFITS WILL
B4974 (B) (H)	BEGIN.
B4984 (C) (H)	Answered if currently receiving or expect benefits.  Age
B5064 (A) (S)	is by birth date (B4503 or B4603).  The variable is computed
B5074 (B) (S)	by subtracting the number of years receiving from the current
B5084 (C) (S)	age.  If benefits have not begun, it is computed by adding
		B4963 etc. to head or spouse's current age.  No missing values.

		xx. years (19 to 85)
		 0. INAP, never receive benefits from job
		    (3687/3827/4061/4018/4051/4099 cases) 


B4965 (A) (H)	REPORTED AMOUNT EXPECTED IN 1983/FIRST YEAR OF
B4975 (B) (H)	ELIGIBILITY.
B4985 (C) (H)	If currently receiving benefits this is the amount expected
B5065 (A) (S)	in 1983 (generally what was received in 1982 unless started
B5075 (B) (S)	in midyear).  If future benefits are expected it is the
B5085 (C) (S)	amount reported as expected in the first year of eligibility.
		All missing values were imputed for those currently
		receiving benefits as above (see B4962 etc.)

		xxxxxx. dollars (45 to 170,000)
		    -7. other non-numeric amount (0/3/0/0/0/0 cases)
		    -8. DK (35/89/7/12/25/3 cases)
		    -9. NA (2/9/1/2/2/0 cases)
		     0. INAP (3687/3827/4061/4018/4051/4099 cases)

		question: R44/S44


B4966 (A) (H)	AMOUNT EXPECTED IN 1983/FIRST YEAR OF ELIGIBILITY.
B4976 (B) (H)	This is identical to the variable above (B4965 etc.) except
B4986 (C) (H)	that all missing values are imputed.  Imputations were made
B5066 (A) (S)	using a regression of log-value adjusted to real terms with a
B5076 (B) (S)	random term added.
B5086 (C) (S)
		xxxxxx. dollars (45 to 182,323)
		     0. INAP (3687/3827/4061/4018/4051/4099 cases)


B4967 (A) (H)	AMOUNT EXPECTED/RECEIVED IN FIRST YEAR IN 1983 DOLLARS.
B4977 (B) (H)	This is identical to the variable above (B4966 etc.) except
B4987 (C) (H)	that benefits are indexed to April 1983 dollars for pensions
B5067 (A) (S)	that have not started, by assuming an inflation rate of 4.0%.
B5077 (B) (S)	For pensions already being received, the nominal value of the
B5087 (C) (S)	pension is assumed to be fixed, and is indexed to the
		year it started (see B4961 etc.) by the actual price
		changes observed as measured by the CPI.  No missing 
                values.

		xxxxxx. 1983 dollars (xx to xxxxxx)
		    -7. amount given in the variable above (B4966
			etc. is a lump sum given only in the first
			year (or 1982 if B4962 is greater than zero))
			(x/x/x/x/x/x cases)
		     0. INAP (3687/3827/4061/4018/4051/4099 cases)


B4968 (A) (H)	PRESENT VALUE OF PENSION BENEFITS FROM JOB.
B4978 (B) (H)	This is measured assuming an annual pension benefit as given
B4988 (C) (H)	starting in the year of first benefits (or 1983).  Benefits
B5068 (A) (S)	for that and each succeeding year (adjusted for probability of
B5078 (B) (S)	receipt) are discounted back to 1983.  Sex-based Social
B5088 (C) (S)	Security mortality tables are used to compute the
		probabilities of dying each year and/or living to
		receive any benefits.  These are capped at 109 years.
		Spousal survival benefits are assumed to be opted for
		75 percent of the time and are randomly assigned when
		appropriate.  Spouse mortality tables are also used.  
                Benefits are discounted at the 1983 long-term
		U.S. Government bond rate of 10.85 percent.
		Calculated for all relevant observations. 

		xxxxxx. dollars (xx to xxxxxx)
		     0. INAP (3687/3827/4061/4018/4051/4099 cases)


                          Plan Characteristics

B4969 (A) (H)	TYPE OF FORMULA USED TO DETERMINE BENEFITS.
B4979 (B) (H)	Answered only if expected but not currently receiving benefits
B4989 (C) (H)	(B4963 etc. > 0).  No imputations.
B5069 (A) (S)
B5079 (B) (S)	1. defined benefit (21/90/8/12/18/2 cases)
B5089 (C) (S)	2. defined contribution (8/16/6/4/5/0 cases)
		3. elements of both (8/34/1/5/10/0 cases)
   	       -8. DK (5/37/1/2/7/2 cases)
	       -9. NA (1/3/1/2/1/0 cases)
		0. INAP or currently receiving benefits
		   (4060/3923/4086/4078/4062/4099 cases) 

		question: R45/S45


B4970 (A) (H)	MULTI-EMPLOYER PLAN?
B4980 (B) (H)	Other employers on plan.  Answered for all currently receiving
B4990 (C) (H)	benefits or expecting them in the future (B4966 etc. > 0).  No
B5070 (A) (S)	imputations.
B5080 (B) (S)
B5090 (C) (S)	1. yes (108/98/14/26/29/0 cases)
		5. no (225/132/23/38/16/4 cases)
	       -8. DK (49/32/1/11/6/0 cases)
	       -9. NA (34/14/4/10/1/0 cases)
		0. INAP (3687/3827/4061/4018/4051/4099 cases)

		question: R46/S46

                         SOCIAL SECURITY DATA

               (H) Household head (husband, if married)
			 (S) Spouse (wife)

                     Total Social Security Value

B3314 	NET PRESENT VALUE OF SOCIAL SECURITY BENEFITS.
	The sum of the gross present value of Social Security benefits
	for head and spouse minus the present value of wage
	contribution liabilities (B3315 - B3316).  Social Security
	formula and current receipts were used for calculations.  No missing 
        values for households where head or spouse is over age 39.

	xxxxxxx. dollars (xx to xxxxxxx)
	      0. none (xxxx cases)


B3315 	GROSS PRESENT VALUE OF SOCIAL SECURITY BENEFITS.
	The sum of the gross present value of Social Security benefits
	for head and spouse (B5120 + B5124 + B5220 + B5224).  Social
	Security formulas and current receipts were used for
	calculations.  No missing values for households where head or spouse 
        is over age 39.

	xxxxxxx. dollars (xx to xxxxxxx)
	      0. none (xxxx cases)


B3316 	PRESENT VALUE OF SOCIAL SECURITY TAX LIABILITY.
	The sum of the gross present value of future Social Security
	tax liabilities for head and spouse (B5116 + B5216).  Social
	Security formulas and current receipts were used for
	calculations.  No missing values for households where head or spouse 
        is over age 39.

	xxxxxx. dollars (xx to xxxxxx)
	     0. none (xxxx cases)


                   Current Social Security Benefit Receipts

B5101 (H)	KIND OF SOCIAL SECURITY BENEFITS.
B5201 (S)	Answered only if currently receiving Social Security
		benefits on the basis of respondent (or spouse's) own
		earnings.  All missing values were imputed. 

		1. retirement (601/178 cases)
		2. disability (84/14 cases)
		3. both retirement and disability (27/2 cases)
		7. other kind (1/1 cases)
		0. INAP, not currently receiving benefits (3390/3908 cases)

		question: R56,R56a/S56,S56a


B5102 (H)	NUMBER OF YEARS RECEIVING SOCIAL SECURITY BENEFITS.
B5202 (S)	Answered only if currently receiving Social Security
		benefits on the basis of own earnings.  All missing
		values were imputed. 

		xx. years (1 to 37)
		 0. INAP (3390/3908 cases)

		question: R56b/S56b


B5103 (H)	AMOUNT RECEIVED IN 1982.
B5203 (S)	Asked only of respondents currently receiving
		benefits.  All missing values were imputed.
		Imputations were made using income data and a
		regression for log-value with a random term added.

		xxxxx. dollars (309 to 17,746)
		   -6. none, started benefits in 1983 (37/6 cases)
		    0. INAP (3390/3908 cases)

		question: R56c/S56c


                     Start of Social Security Payments

B5104 (H)	REPORTED AGE SOCIAL SECURITY BENEFITS DID/EXPECTED
B5204 (S)	TO START.
         	Answered for those who currently or expect to receive
		benefits, as reported by respondent.  All missing
		values were imputed for those currently receiving 
                benefits (B5103 or B5203 not equal 0).

		xx. years (14 to 96)
		-8. DK (186/95 cases)
		-9. NA (90/40 cases)
		 0. INAP, no benefits ever (532/2396 cases)

		question: R57a/S57a


B5105 (H)	AGE SOCIAL SECURITY BENEFITS DID/EXPECTED TO START.
B5205 (S)	Answered for those who currently or expect to receive
		benefits.  All missing values were imputed for those
		currently receiving benefits and all observations 
                where head or spouse is over age 39.

		xx. years (14 to 82)
		-8. DK (8/12 cases)
		-9. NA (9/6 cases)
		 0. INAP (495/2377 cases)


B5106 (H)	NUMBER OF YEARS UNTIL THE START OF SOCIAL SECURITY
B5206 (S)	BENEFITS.
		Answered only for those who expect benefits on their
		own earnings in the future.  Computed from birth date
		age and the reported age benefits expected to start.  All 
                missing values were imputed for observations where
		head or spouse is over age 39. 

		xx. years (1 to 50)
		-8. DK (8/12 cases)
		-9. NA (9/6 cases)
		 0. already receiving benefits, INAP (1207/2572 cases)


                   Expectations of Social Security Benefits

B5107 (H)	CODE FOR REPORTED FIRST YEAR BENEFITS.
B5207 (S)	Reported response.  Code for the variable which
		follows (B5108 or B5208).  The following variable is
		the expected Social Security benefit in 1983 if currently 
                receiving benefits.  Otherwise it is expected benefits
		in the first year of eligibility.

		1. benefit below given in nominal dollars.  Always
		   used for current receivers.  For current receivers,
		   the value is 1.037 times 1982 benefits (because of 
                   7.4 percent benefit rise in 6/82), except for those
		   starting in 1982 and 1983 which are adjusted on the
		   basis of months received (1342/449 cases) 
		2. benefit below given as a percent of final pay (82/34 cases)
		3. maximum benefit assumed (62/7 cases)
		4. minimum benefit assumed (14/10 cases)
		6. benefit will be zero (Social Security will not
		   exist) (32/13 cases) 
		7. other response (1/0 cases)
	       -8. DK (1992/1172 cases)
	       -9. NA (46/22 cases)
		0. INAP (532/2396 cases)

		question: R57b/S57b


B5108 (H)	REPORTED SOCIAL SECURITY BENEFIT IN 1983/1ST YEAR
B5208 (S)	ELIGIBLE.
		Reported response.  The variable is either not given,
		a dollar amount, or a percentage according to the code
		variable above. missing values were imputed for 
                all those currently receiving benefits as in B5103 or B5203.

		xxxxxx. dollars (answered if coded 1 in B5107 or B5207)
		  xxxx. percentage times ten (answered if coded 2 in
			B5107 or B5207) 
		     0. applicable for all other codes above, INAP
			(532/2396 cases) 

		question: R57b/S57b


B5109 (H)	CODE FOR FIRST YEAR BENEFITS.
B5209 (S)	Code for the variable which follows (B5110 or B5210).
		The following variable is the expected Social Security
		benefit in 1983 if currently receiving benefits. 
                Otherwise it is expected benefits in the first year of
		eligibility.  This variable is the same as B5107 or
		B5207 except for imputations.  Unlike many pension 
                variables, imputations were made for all households
		including those where both head or spouse are under
		40.  If values were missing, code 2 was assigned to B5109 
                or B5209 and imputations were made for Social Security
		benefits as a percentage of final pay in B5110 or
		B5210.  Further adjustments were made for some persons 
                expecting to receive Social Security on their own
		account who were adjudged ineligible and vice-versa.

		1. benefit below given in nominal dollars.  Always
		   used for current receivers.  For current receivers,
		   the value is 1.037 times 1982 benefits (because of 
                   7.4% benefit rise in 6/82), except for those
		   starting in 1982 and 1983 which are adjusted on the
		   basis of months received.  Also used for all previous 
                   missing values (1338/442 cases)
		2. benefit below given as a percent of final pay.
		   Used for all imputations (82/33 cases)
		3. maximum benefit assumed (62/7 cases)
		4. minimum benefit assumed (14/9 cases)
		6. benefit will be zero (Social Security will not
		   exist) (32/13 cases) 
		7. other response (1/0 cases)
		0. INAP (xxx/xxx cases)


B5110 (H)	SOCIAL SECURITY BENEFIT IN 1983/1ST YEAR ELIGIBLE.
B5210 (S)	The variable is either not given, a dollar amount, or
		a percentage according to the code of B5109 or B5209
		above.  This variable is identical to B5108 or B5208 
                except when B5107 or B5207 are missing values.  In
		these instances Social Security as a percent of final
		pay was imputed using a regression with a random term added. 
                In addition, in some cases persons expecting to
		receive Social Security on their own account were
		adjudged ineligible and vice-versa. 

		xxxxxx. dollars (answered if coded 1 in B5109 or B5209)
		  xxxx. percentage times ten (answered if coded 2 in
			B5109 or B5209.  Used for all imputations.)
		     0. applicable for all other codes above, INAP
			(494/2378 cases) 


B5111 (H)	PRESENT VALUE OF SOCIAL SECURITY BENEFITS FROM
B5211 (S)	EXPECTATIONS.
		This is measured assuming an annual benefit as given
		in B5110 or B5210 starting in the year of first
		benefits (or 1983).  Benefits for that and each
		succeeding year (adjusted for probability of receipt)
		are discounted back to 1983.  Sex-based Social
		Security mortality tables are used to compute the
		probabilities of dying each year and/or living to
		receive any benefits.  These are capped at 109 years. 
                Spousal benefits are also assumed at 50 percent of the
		primary benefit if a spouse is present and does not
		expected Social Security benefits on their own earnings. 
		Spouse mortality tables are also used for these
		calculations.  Benefits are discounted at the 1983
		long-term U.S. Government bond rate of 10.85 percent.  No 
                missing values.

		xxxxxx. dollars (xx to xxxxxxx)
		    -6. nothing (32/13)
  		     0. INAP (495/2378 cases)


                  Number of Years Working Social Security Jobs

B5112 (H)	TOTAL NUMBER OF YEARS WORKING SOCIAL SECURITY JOBS.
B5212 (S)	The total number of years on Social Security jobs to
		current date.  Not answered if currently receiving
		social security benefits.  All missing values were imputed. 

		xx. years (1 to 54)
		-6. none (279/394 cases)
		 0. INAP, currently receiving Social Security benefits
		    (713/1663 cases) 

		question: R57c/S57c


B5113 (H)	NUMBER OF YEARS ON SOCIAL SECURITY JOBS COUNTED
B5213 (S)	LISTED JOBS.
		Computed estimate of coverage was used, summing over
		current and the three possible past jobs.  No missing values.

		xx. years (1 to 43)
		-6. none (268/463 cases)
		 0. INAP (0/1468 cases)


B5114 (H)	ESTIMATE OF FUTURE YEARS ON SOCIAL SECURITY JOBS.
B5214 (S)	Computed from retirement years indicated.  No missing values.

		xx. years (1 to 40)
		-6. none (1659/1599 cases)
		 0. INAP (0/1468 cases)


B5115 (H)	NUMBER OF YEARS ON NON-SOCIAL SECURITY JOBS COUNTED
B5215 (S)	IN JOBS.
		Computed estimate of coverage was used, summing over
		current and the three possible past jobs.  No missing values.

		xx. years (1 to 44)
		-6. none (3046/2080 cases)
		 0. INAP (0/1468 cases)


                   Computed Estimates of Social Security Benefits

     Data on number of years on social security jobs, wage rates for
each known job, estimates of retirement dates, and dates of starting
benefits were used as inputs to Social Security formulas to compute
benefits.  These have currently been computed for all observations
where head or spouse is over age 39.

B5116 (H)	PRESENT VALUE OF THE SOCIAL SECURITY TAX LIABILITY.
B5216 (S)	A calculated value based on current job wage.  All
		persons were assumed to work continuously until their
		stated age of fulltime retirement, and then parttime 
                until their stated age of final retirement.  All
		persons were assumed to retire no later than 72 or age
		+ 1 if currently over 72.  Persons not currently working and 
                over 50 were assumed not to work again.  Wages were
		calculated by projecting current wages by the same
		method used to calculate final wages.  Wage growth was 
                assumed to have three components: (1) occupation
		specific (adjusted for age) taken from the slopes in
		the CPS log-wage spline regressions; (2) a Social
		Security plan II-B assumption of 1.5 percent annual
		economy wide real wage growth; and (3) a Social
		Security plan II-B assumption of 4.0 percent
		inflation.  Parttime years (if currently working
		fulltime) were assigned wages equal to 1/2 the projected 
                fulltime wages or the maximum amount allowable for
		full benefit receipt allowed by Social Security,
		whichever was smaller.  The Social Security tax liability was 
                computed used legislatively planned tax rates
		(employer and employee) and maximum coverage.  No
		missing values. 

		xxxxx. dollars (120 to 77,849)
		    0. none or INAP (1375/2886 cases)


B5117 (H)	SOCIAL SECURITY AIME.
B5217 (S)	Average Indexed Monthly Earnings used as the basis of
		computing the Social Security benefit base.  The
		variable is the average covered Social Security 
                earnings per month (including zeros) for all years
		from 1951 or age 22 (which ever is later) to age 60.
		These are indexed by a social security wage index to the 
                year respondent is 60.  Years after 60 can be
		substituted at nominal value.  The five lowest years
		are dropped before an average AIME is computed.  These 
                procedures are mimicked using the SCF data on job
		earnings and future retirement plans to estimate an
		AIME value.  Past and current job wages are projected back 
                (and forward) to estimate earnings for each known year
		of work.  These projections assume within-occupation
		real wage adjustments as taken from the CPS regressions 
                (see past/current job), and economy-wide productivity
		growth and inflation as as occurred or is projected to
		occur under the Social Security plan II-B.  Other 
                years of unknown jobs are filled in with terms from
		the closest known job to fill in the total number of
		Social Security covered years.  Wages are then capped at 
                the actual or projected social security maximum and
		minimum coverage amounts.  The AIME was then computed
		using actual or projected Social Security wage indices. 
                The variable is currently estimated for all persons
		projected to have future Social Security benefits
		based on their own earnings for observations where head 
                or spouse is over age 39 who are not currently
		receiving benefits. 

		xxxxx. dollars (12 to 12,599)
		   -9. NA, not computed (1338/646 cases)
		    0. currently receiving benefits, INAP (1207/2574 cases)


B5118 (H)	SOCIAL SECURITY PIA.
B5218 (S)	Primary Insurance Amount on an annual basis.  The PIA
		is the basis of the calculation of Social Security
		benefits.  It is computed from the AIME.  In 1982 the
		monthly PIA was computed as 90 percent of the first
		$254 of AIME plus 32 percent of the next $1274 plus 15
		percent of the amount above.  Calculations here take
		account of legislatively planned changes in this
		formula.  The PIA is currently computed for all
		non-receivers projected to have future Social Security 
                benefits based on their own earnings for observations
		where head or spouse is over age 39.

		xxxxx. dollars (126 to 62,097)
		   -9. NA, not computed (1338/646 cases)
		    0. currently receiving benefits, INAP (1207/2574 cases)


B5119 (H)	COMPUTED SOCIAL SECURITY BENEFITS IN 1983/1ST YEAR
B5219 (S)	ELIGIBLE.
		This variable is the 1982 benefits as reported (or
		imputed) adjusted to 1983 levels (B5110/B5210) for
		those currently receiving benefits.  If it appeared that 
                the recipiant was receiving spousal benefits which
		were included in B5110 or B5210 then this variable
		represents only that share of current benefits calculated to 
                accrue to the primary recipiant.  The remaining
		portion of B5110/B5210 was placed in B5223/B5123.  An
		adjustment was also made to this variable if it
		appeared that the recipiant's benefits had been
		reduced because of work.  In this case (only about 20
		cases were affected) B5119/B5219 reflects the full
		benefit.  For those not currently receiving benefits
		but expecting them in the future based on their own
		earnings B5119/B5219 is computed from the PIA and
		stated age of drawing first benefits according to
		Social Security formulas.  It is given in nominal dollars. 
                Currently computed for all observations currently
		receiving benefits and for observations where head or
		spouse is over age 39 and future benefits are expected. 

		xxxxx. dollars (101 to 69,549)
		   -9. NA, not computed (1338/646 cases)
		    0. currently receiving benefits, INAP (495/2379 cases)



B5120 (H)	COMPUTED PRESENT VALUE OF OWN SOCIAL SECURITY
B5220 (S)	BENEFITS.
		This is measured assuming an annual Social Security
		benefit as given above starting in the year of first
		benefits (or current).  Benefits for that and each
		succeeding year (adjusted for the probability of receipt) are
		discounted back to 1983.  Sex-based Social Security
		mortality tables are used to compute the probabilities
		of dying each year and/or living to receive any
		benefits.  These are capped at 109 years.  Benefits
		are assumed to grow each year at the Social Security
		plan II-B inflation assumption of 4 percent.  Benefits
		are discounted at the 1983 long-term U.S. government
		bond rate of 10.85 percent.  Currently computed for
		all persons projected to receive benefits based on
		their own earnings for observations where head or
		spouse is over age 39 and all other observations 
                currently receiving benefits.

		xxxxxx. dollars (463 to 194,701)
		    -9. NA, not computed (1337/2379 cases)
		     0. INAP (494/2379 cases)


B5121 (H)	AGE AT WHICH SPOUSAL BENEFITS FIRST DRAWN.
B5221 (S)	This is a calculated variable.  It is an estimate of
		the age at which the individual started receiving
		Social Security Benefits (or will receive such
		benefits) on the basis of their spouse's earnings.
		This variable will be zero if 
                no spousal are expected (such as when the individual's
		own benefits are larger than their spousal benefits).
		This variable is currently computed for all persons 
                projected to receive benefits for observations where
		head or spouse is over age 39 and all other
		observations currently receiving benefits. 

		xx. age (45 to 87)
		-9. NA, not computed (21/22 cases)
		 0. no spousal benefits, INAP (2477/1657 cases)


B5122 (H)	AGE AT WHICH WIDOWS BENEFITS FIRST COULD BE DRAWN.
B5222 (S)	This is a calculated variable.  It is an estimate of
		the age at which the individual could start to receive
		Social Security widows benefits upon the death of
		their spouse.  This variable will be zero if widows
		benefits could never be drawn.  This variable is
		currently computed for all persons projected to receive 
                benefits for observations where head or spouse is over
		age 39 and all other observations currently receiving benefits.

		xx. age (14 to 74)
		-9. NA, not computed (7/16 cases)
		 0. no widow benefits, INAP (2378/1635 cases)


B5123 (H)	SPOUSAL BENEFIT IN FIRST YEAR ELIGIBLE.
B5223 (S)	This is a calculated variable.  It is an estimate of
		the benefit that the individual would receive in the
		first year he/she is eligible for spousal benefits 
                (or 1983 if currently receiving benefits).  For
		current recipiants this variable plus B5119/B5219 of
		their spouse will generally equal B5110/B5210 of their spouse. 
                This variable will be zero if spousal benefits could
		never be drawn.  This variable is currently computed
		for all persons projected to receive benefits for 
                observations where head or spouse is over age 39 and
		all other observations currently receiving benefits.

		xxxx. dollars (1 to 62,097)
		  -6. none, eligible for spousal benefits but
		      calculate that none would be received because
		      own benefits are larger (643/204 cases) 
		  -9. NA, not computed (645/814 cases)
		   0. no spousal benefits, INAP (2630/1787)


B5124 (H)	COMPUTED PRESENT VALUE OF SPOUSAL SOCIAL SECURITY
B5224 (S)	BENEFITS.
		Computed using the same form as the present value of
		primary benefits, adjusted for both mortality tables.
		This variable represents the spousal and widowed 
                benefits received by the individual (thus that for the
		head is based on the earnings of the spouse).  Also
		included are benefits currently being drawn (as given
		in B5123/B5223) and deemed to be current spousal
		benefits.  This variable is currently computed for all
		persons projected to receive benefits for observations 
                where head or spouse is over age 39 and all other
		observations currently receiving benefits.

		xxxxxx. dollars (15 to 182,738)
		    -9. NA, not computed (645/814 cases)
		     0. none, INAP (3186/1786 cases)


                         USE OF FINANCIAL SERVICES

               Main Checking Account Characteristics/Access

B3403 	DOLLAR AMOUNT IN MAIN CHECKING ACCOUNT.
	The amount in the account self-defined as the main checking
	account, i.e. the one with the most checks written on it.  All
	missing values were imputed. 

	xxxxxx. dollars (4 to 450,000)
	     0. INAP, no checking accounts (806 cases)

	question: K4


B3404 	TYPE OF FINANCIAL INSTITUTION MAIN CHECKING ACCOUNT
	LOCATED.
	No missing values.

	1. commercial bank (2744 cases)
	2. savings and loan association or savings bank (395 cases)
	3. credit union (146 cases)
	6. brokerage company or money market mutual fund (11 cases)
       97. other type (1 case)
	0. INAP (806 cases)

	question: K3


B3405 	TYPE OF MAIN CHECKING ACCOUNT.
	No missing values.  Accounts of less than $1500 in super NOWs
	were converted to regular NOWs.  Similarly all regular
	checking accounts at S&Ls or credit unions were converted to NOWs.

	1. regular checking (2381 cases)
	2. NOW account or regular share draft (814 cases)
	3. super NOW, super share draft (79 cases)
	4. cash management, MMF, sweep (12 cases)
	7. other type (11 cases)
	0. INAP (806 cases)

	question: K2


B5301 	AUTOMATED TELLER MACHINE USAGE.
	The number of times household members access their main
	checking account with an automatic teller machine (ATM) during
	a typical year.  Usage rates were given by respondents for
	different time periods but were converted to an annual basis.  All 
        missing values were imputed except if respondent did not know
	if he/she had a card.  Imputations were done using conditional
	mean tables with randomization. 

	xxx. number (1 to 520)
	 -6. none, but he/she can access the account with an ATM (797 cases)
	 -7. other, non-numeric, answer (2 cases)
	 -8. none, don't know if he/she can access account with ATM (106 cases)
	  0. INAP, no checking accounts or cannot access account with
	     an ATM (2507 cases)

	question: K5/K5a


B5302 	NON-ATM BANK ACCESS.
	The number of times household members physically visit a
	branch or drive-in or walk-up window of the institution where
	they have their main checking account during a typical year.
	Excludes any ATM visits.  Usage rates were given by
	respondents for different time periods but were converted to
	an annual basis.  All missing values were imputed.
	Imputations were done using conditional mean tables 
        with randomization.

	xxx. number (1 to 360)
	 -6. none (233 cases)
	 -7. other, non-numeric, answer (1 cases)
	  0. INAP, no checking accounts (806 cases)

	question: K6/K6a


           Reasons for Choosing Institution for Main Checking

	(A) Convenient location of offices
	(B) Being able to obtain many financial services at one place
 	(C) Automated teller machine
	(D) Low (no) service charge or low (no) minimum balance requirement
 	(E) High interest rates
 	(F) Safety or absence of risk

B5303 (A) 	IMPORTANCE OF EACH REASON IN CHOOSING INSTITUTION FOR
B5304 (B)	CHECKING.
B5305 (C) 	For each potential reason, respondent indicated the importance
B5306 (D) 	the reason played in choosing the institution.  The answers
B5307 (E) 	given are those of the respondent, with no imputations.
B5308 (F)
		1. very important (2161/1636/376/1678/1848/2394 cases)
		2. somewhat important (793/924/401/912/731/523 cases)
		3. not very important (226/523/756/371/378/184 cases)
		4. not at all important (9/183/1731/298/298/155 cases)
	       -8. DK (0/1/2/3/6/4 cases)
	       -9. NA (27/30/31/35/36/37 cases)
	        0. INAP, no checking accounts (806 cases for each)

	question: K30/K30a/K30b/K30c/K30d/K30e/K30f


B5309 	WHICH OF THE ABOVE REASONS IS THE MOST IMPORTANT.
	Respondent's choice of the most important reason for choosing
	the institution where he/she has their main checking account.
	Some respondents gave reasons other than those listed above.

 	 1. convenient location of offices (1302 cases)
	 2. being able to obtain many financial services at one place
	   (580 cases) 
	 3. automated teller machine (50 cases)
	 4. low (no) service charge or low (no) minimum balance
	   requirement (382 cases) 
	 5. high interest rates (263 cases)
	 6. safety or absence of risk (572 cases)
	11. hours, open Saturdays (1 case)
	12. personal, friendly service (33 cases)
	13. other reason (29 cases)
	-8. DK (9 cases)
	-9. NA (76 cases)
	 0. INAP, no checking accounts (806 cases)

	question: K30g


              Other Services Obtained From Main Checking Institution

	(A) Another checking account
 	(B) IRA or keogh
 	(C) Certificates of deposit
        (D) Money market or savings account
 	(E) Credit card
 	(F) Mortgage loan
 	(G) Non-mortgage loan
 	(H) Brokerage or trust account

B5310 (A) 	DOES HOUSEHOLD OBTAIN SERVICE AT MAIN CHECKING
B5311 (B)	INSTITUTION?
B5312 (C) 	For each service, respondent indicated whether or not he/she
B5313 (D) 	obtained the service at the institution where he/she had their
B5314 (E) 	main checking account.  All missing values were imputed using
B5315 (F) 	asset and liability information and conditional mean tables.
B5316 (G)
B5317 (H) 	1. yes (485/268/411/1411/788/358/598/39 cases)
		5. no (2812/3029/2886/1886/2509/2939/2699/3258 cases)
		0. INAP, no checking accounts (806 cases for each)

	question: K31/K31a/K31b/K31c/K31d/K31e/K31f/K31g/K31h


B5318 (A) 	DOES HOUSEHOLD OBTAIN SERVICE AT ANY INSTITUTION?
B5319 (B) 	For each service, it was calculated whether the household
B5320 (C) 	obtained the service at all (including the main checking
B5321 (D) 	institution).  These questions are answered whether the
B5322 (E) 	household had a checking account or not.  No missing values.
B5323 (F)
B5324 (G) 	1. yes (1063/915/866/2788/1910/1775/2112/699 cases)
B5325 (H)	5. no (3040/3188/3237/1315/2193/2328/1991/3404 cases)


                        Commercial Banks Regularly Used

B5326 	NUMBER OF COMMERCIAL BANKS HOUSEHOLD REGULARLY USE.
	Respondent's answer to the question.  Excludes offices of the
	same institution.  All missing values were imputed using
	conditional mean tables with randomization. 

	1. one (2137 cases)
	2. two (976 cases)
	3. three (244 cases)
	4. four (62 cases)
	5. five (26 cases)
	6. six (9 cases)
	7. seven (4 cases)
	8. eight (2 cases)
	0. none (643 cases)

	question: K36a


B5327 	DOES HOUSEHOLD USE A COMMERCIAL BANK OUTSIDE AREA?
	Answered yes if the respondent or someone in their family have
	regular dealings with an institution (or branch) outside the
	area where he/she lives or works.  All missing values were imputed.

	1. yes (664 cases)
	5. no (2796 cases)
	0. INAP, do not regularly deal with any commercial banks (643 cases)

	question: K37a


B5328 	CALCULATED NUMBER OF MENTIONS OF COMMERCIAL BANK
	USAGE.
	This is the calculated number of different instances in the
	survey where a commercial bank was given as the source of a
	loan, line of credit, or mortgage, or the location of a trust
	account, savings, checking, IRA, or money market account 
        for each household.

	 1. one (1003 cases)
	 2. two (873 cases)
	 3. three (563 cases)
	 4. four (349 cases)
	 5. five (210 cases)
	 6. six (141 cases)
	 7. seven (71 cases)
	 8. eight (33 cases)
	 9. nine (28 cases)
	10. ten (14 cases)
	11. eleven (8 cases)
	12. twelve (2 cases)
	13. thirteen (2 cases)
	14. fourteen (2 cases)
	 0. none (804 cases)


             Savings and Loans (Savings Banks) Regularly Used

B5329 	NUMBER OF SAVINGS AND LOANS HOUSEHOLD REGULARLY USE.
	Respondent's answer to the question.  Excludes offices of the
	same institution.  All missing values were imputed using
	conditional mean tables with randomization. 

	 1. one (1487 cases)
	 2. two (403 cases)
	 3. three (101 cases)
	 4. four (26 cases)
	 5. five (12 cases)
	 6. six (3 cases)
	 7. seven (2 cases)
	 8. eight (2 cases)
	35. thirty five (1 case)
	 0. none (2066 cases)

	question: K36b


B5330 	DOES HOUSEHOLD USE A SAVINGS AND LOAN OUTSIDE AREA?
	Answered yes if the respondent or someone in their family have
	regular dealings with a savings and loan (or branch) outside
	the area where he/she lives or works.  All missing values were
	imputed. 

	1. yes (424 cases)
	5. no (1613 cases)
	0. INAP, do not regularly deal with any savings and loans (2066 cases)

	question: K37b


B5331 	CALCULATED NUMBER OF MENTIONS OF SAVINGS AND LOAN
	USAGE.
	This is the calculated number of different instances in the
	survey where a savings and loan was given as the source of a
	loan, line of credit, or mortgage, or the location of a trust
	account, savings, checking, IRA, or money market account for 
        each household.

	 1. one (780 cases)
	 2. two (429 cases)
	 3. three (217 cases)
	 4. four (131 cases)
	 5. five (67 cases)
	 6. six (37 cases)
	 7. seven (15 cases)
	 8. eight (16 cases)
	 9. nine (5 cases)
	11. eleven (3 cases)
	12. twelve (1 case)
	13. thirteen (1 case)
	 0. none (2401 cases)

                        Credit Union Membership

B5332 	CALCULATED NUMBER OF MENTIONS OF CREDIT UNION USAGE.
	This is the calculated number of different instances in the
	survey where a credit union was given as the source of a loan,
	line of credit, or mortgage, or the location of a trust
	account, savings, checking, IRA, or money market account for 
        each household.

	 1. one (581 cases)
	 2. two (207 cases)
	 3. three (108 cases)
	 4. four (68 cases)
	 5. five (27 cases)
	 6. six (8 cases)
	 7. seven (6 cases)
	 8. eight (1 case)
	 9. nine (2 cases)
	11. eleven (1 case)
	 0. none (3094 cases)


                  Finance Companies Regularly Used

B5333 	NUMBER OF FINANCE COMPANIES HOUSEHOLD REGULARLY USES.
	Respondent's answer to the question.  Excludes offices of the
	same institution.  All missing values were imputed using
	conditional mean tables with randomization. 

	 1. one (483 cases)
	 2. two (87 cases)
	 3. three (23 cases)
	 4. four (7 cases)
	 5. five (2 cases)
	21. twenty-one (1 case)
	 0. none (3500 cases)

	question: K36c


B5334 	DOES HOUSEHOLD USE A FINANCE COMPANY OUTSIDE AREA?
	Answered yes if the respondent or someone in their family have
	regular dealings with a finance company (or branch) outside
	the area where he/she lives or works.  All missing values were
	imputed. 

	1. yes (154 cases)
	5. no (449 cases)
	0. INAP, do not regularly deal with any finance company (3500 cases)

	question: K37c


B5335 	CALCULATED NUMBER OF MENTIONS OF FINANCE COMPANY
	USAGE.
	This is the calculated number of different instances in the
	survey where a finance company (or auto finance company) was
	given as the source of a loan, line of credit, or mortgage, or
	the location of a savings or IRA account for each household.

	1. one (478 cases)
	2. two (77 cases)
	3. three (17 cases)
	4. four (2 cases)
	0. none (3529 cases)


                      Brokerage Account Usage

B5336 	DOES HOUSEHOLD HAVE AN ACCOUNT AT A STOCK BROKERAGE?
	This variable asks specifically for accounts used for the
	purchase or sale of stocks.  Excludes money market mutual fund
	accounts.  All missing values were imputed.

	1. yes (554 cases)
	5. no (3549 cases)

	question: K21


B3469 	NUMBER OF TIMES STOCKS PURCHASED/SOLD IN PAST YEAR.
	This variable is limited to purchases and sales of publicly
	traded stock using a broker.  Only households with a brokerage
	account were asked the question.  All missing values were
	imputed.  Imputations using conditional mean tables with 
        randomization.

	xx. number of occasions (1 to 95)
	-6. none, but do have a brokerage account (85 cases)
	 0. none, do not have a brokerage account (3549 cases)

	question: K21a

B5337 	NUMBER OF STOCK BROKERAGES HOUSEHOLD REGULARLY USES.
	Respondent's answer to the question.  Asked only of those
	households owning stock.  Excludes offices of the same
	institution.  All missing values were imputed using	
        conditional means tables with randomization.

	 1. one (340 cases)
	 2. two (141 cases)
	 3. three (45 cases)
	 4. four (6 cases)
	 5. five (9 cases)
	 6. six (8 cases)
	 7. seven (1 case)
	 8. eight (1 case)
	 9. nine (1 case)
	10. ten (1 case)
	20. twenty (1 case)
	 0. none (3549 cases)

	question: K21d


B5338 	DOES HOUSEHOLD USE A STOCK BROKERAGE OUTSIDE AREA?
	Answered yes if the respondent or someone in their family have
	regular dealings with a stock brokerage company (or office)
	outside the area where he/she lives or works.  All missing
	values were imputed.  Imputations were done using conditional 
        mean tables.

	1. yes (184 cases)
	5. no (370 cases)
	0. INAP, do not have an account at a stock brokerage (3549 cases)

	question: K21e


B5339 	CALCULATED NUMBER OF MENTIONS OF STOCK BROKERAGE
	USAGE.
	This is the calculated number of different instances in the
	survey where a stock brokerage company or money market mutual
	fund was given as the source of a loan, line of credit, or the
	location of a savings, checking, money market, trust, stock 
        purchase, or IRA account for each household.

	1. one (350 cases)
	2. two (168 cases)
	3. three (123 cases)
	4. four (80 cases)
	5. five (34 cases)
	6. six (13 cases)
	7. seven (3 cases)
	0. none (3332 cases)


               Sources of Advice in Making Financial Decisions

	(A) accountant
	(B) banker
	(C) stock broker
	(D) tax advisor
	(E) lawyer
	(F) spouse
 	(G) friend or relative

B5340 (A) 	DOES HOUSEHOLD USE ADVICE FROM SOURCES?
B5341 (B) 	For each potential source of advice the respondent indicated
B5342 (C) 	whether or not he/she sought advice concerning savings and
B5343 (D) 	investment decisions.  All missing values were imputed using
B5344 (E) 	conditional mean tables with randomization.
B5345 (F)
B5346 (G) 	1. yes, use source (340/520/428/245/262/378/979 cases)
		5. no, do not use source
		   (3763/3583/3675/3858/3841/3725/3124 cases) 

	question: H4/H4a/H4b/H4c/H4d/H4e/H4f/H4g


B5347 	OTHER SOURCES OF ADVICE.
	Other sources used by the household in making decisions about
	savings and investment than those listed above.

	1. financial advisor/counselor (63 cases)
	2. media; reading; Wall Street Journal (53 cases)
	3. insurance agent/company (12 cases)
	4. employer; company where respondent/spouse work (15 cases)
	5. other source (33 cases)
	0. none (3927 cases)

	question: H4


                     Bank Market Variables

B5348 	TOTAL COMMERCIAL BANK DEPOSITS IN MARKET.
	The total commercial bank deposits in the household's banking
	market.  This variable, and the ones following, were
	constructed by matching the county or SMSA that the household
	lives in to Federal Reserve Board bank market data as measured 
        in June 1983.  Bank markets are defined as the SMSA, when
	applicable, or the county.  Three households were in markets
	without banks and data are not given for the high-income sample.

	xxxxxxxxx. deposits in 1000's of dollars (25,580 to 146,772,176)
		0. INAP, high-income sample or no banks in market (441 cases)


B5349 	TOTAL SAVINGS AND LOAN ASSOCIATION DEPOSITS IN MARKET.
	The total deposits of savings and loan associations in the market.

	xxxxxxxx. deposits in 1000's of dollars (4,483 to 36,990,000)
	       0. INAP (441 cases)


B5350 	TOTAL MUTUAL SAVINGS BANK DEPOSITS IN MARKET.
	The total deposits of mutual savings banks (FDIC insured) in
	the market. 

	xxxxxxxx. deposits in 1000's of dollars (13,046 to 47,807,248)
	       0. none or INAP (3228 cases)


B5351 	TOTAL NUMBER OF COMMERCIAL BANKS IN MARKET.
	The number of legally separate firms.

	xxx. number (2 to 404)
	  0. INAP (441 cases)


B5352 	TOTAL NUMBER OF SAVINGS AND LOANS IN MARKET.
	The number of legally separate firms.

	xxx. number (1 to 155)
	  0. INAP (441 cases)


B5353 	TOTAL NUMBER OF MUTUAL SAVINGS BANKS IN MARKET.
	The number of legally separate firms.

	xx. number (1 to 70)
	 0. none or INAP (3228 cases)


B5354 	TOTAL NUMBER OF COMMERCIAL BANK ORGANIZATIONS IN
	MARKET.
	The number of economically separate firms (holding companies
	are consolidated) 

	xxx. number (2 to 398)
	  0. INAP (441 cases)


B5355 	TOTAL NUMBER OF SAVINGS AND LOAN ORGANIZATIONS IN
	MARKET.
	The number of economically separate firms (holding companies
	are consolidated) 

	xxx. number (1 to 155)
	  0. INAP (441 cases)


B5356 	TOTAL NUMBER OF MUTUAL SAVINGS BANKS ORGANIZATIONS IN
	MARKET.
	The number of economically separate firms (holding companies
	are consolidated) 

	xx. number (1 to 70)
	 0. none or INAP (3228 cases)


B5357 	TOTAL NUMBER OF COMMERCIAL BANK OFFICES IN MARKET.
	The number of separate offices (including head and branches).

	xxxx. number (2 to 1,566)
	   0. INAP (441 cases)


B5358 	TOTAL NUMBER OF SAVINGS & LOAN ASSOCIATION OFFICES IN
	MARKET.
	The number of separate offices (including head and branches).

	xxx. number (1 to 799)
	  0. INAP (441 cases)


B5359 	TOTAL NUMBER OF MUTUAL SAVINGS BANK OFFICES IN MARKET.
	The number of separate offices (including head and branches).

	xxx. number (1 to 498)
	  0. none or INAP (3228 cases)


B5360 	THREE-FIRM CONCENTRATION RATIO FOR MARKET
	(ALL INSTITUTIONS).
	The percentage of the total deposits in the market held by the
	largest three depository institutions.

	xxxx. percentage times 10 (202 to 1000)
	   0. INAP (441 cases)


B5361 	THREE-FIRM CONCENTRATION RATIO FOR MARKET
	(COMMERCIAL BANKS).
	The percentage of the total commercial bank deposits in the
	market held by the largest three commercial banks.

	xxxx. percentage times 10 (357 to 1000)
	   0. INAP (441 cases)


B5362 	HERFINDAHL INDEX FOR MARKET (ALL INSTITUTIONS).
	The Herfindahl index for the market including all depository
	institutions.  The Herfindahl is the sum of the squared market
	shares (as a percentage) of all institutions in the market.
	The maximum value is thus 100 x 100 or 10,000. 

	xxxxx. index times 10 (2,953 to 49,196)
	    0. INAP (441 cases)


B5363 	HERFINDAHL INDEX FOR MARKET (COMMERCIAL BANKS ONLY).
	The Herfindahl index for the market including only commercial banks.

	xxxxx. index times 10 (6,271 to 64,879)
	    0. INAP (441 cases)


B5364 	STATE BANKING LAW.
	This variable indicates the law governing commercial bank
	branching in the state of each respondent at the time of the
	survey.  Answered for all observations but the high-income sample.

	1. unit banking state (only one office per bank) (550 cases)
	2. limited branching allowed (1479 cases)
	3. state-wide branching state (1636 cases)
	0. INAP, high-income sample (438 cases)


B5365 	MULTI-BANK HOLDING COMPANY PROHIBITION?
	The state banking laws prohibit multi-bank holding companies
	at the time of the survey.  Not given for the high-income sample.

	1. yes, no multi-bank holding companies (525 cases)
	5. no (3140 cases)
	0. INAP (438 cases)


                           SAVINGS ATTITUDES

     Variables in this section reflect answers given by respondent on
their reasons for, and attitudes toward, saving.  Because they
represent attitudes, not "facts," missing values have not been imputed
for any of the variables in this section. 

         Reasons for Savings, Attitudes Toward Risk and Liquidity

B5401 	REASONS FOR SAVING.
B5402 	Respondents were asked what the household's most important
	reasons for saving were.  Two variables are provided for
	answers.  This was an open-ended question. 

	 1. children's education (204/170 cases)
	 2. own education; spouses education; education -- NA for whom
	    (84/59 cases) 
	 3. "for the children/family" not further specified; "to help
	    the kids out" (103/112 cases)
	11. buying own house (133/70 cases)
	12. purchase of cottage or second home for own use (5/5 cases)
	13. buy a car (32/46 cases)
	14. home improvements/repairs (25/25 cases)
	15. to travel; take vacations (113/234 cases)
	16. buy durable household goods, appliances, home furnishings;
	    hobby items; for other purchases not codable above or not
	    specified; "buy things when we need/want them" (224/212 cases)
	17. burial; funeral expense (35/30 cases)
	21. buying (investing in) own business/farm; equipment for
	    business (11/6 cases) 
	22. retirement; old age (680/319 cases)
	23. reserves in case of unemployment (105/103 cases)
	24. in case of illness; medical/dental expenses (293/283 cases)
	25. emergencies; "rainy days" (1236/350 cases)
	26. investment reasons (to get interest, to be diversified, to
	    buy other forms of assets) (139/88 cases)
	27. to meet contractual commitments (debt repayment,
	    insurance, taxes, etc) to pay off the house (34/14 cases)
	28. "to get ahead;" for the future; to advance standard of
	    living (242/110 cases)
	29. ordinary living expenses/bills (187/107 cases)
	90. had extra income; saved because had the money left over -
	    no other purpose specified (31/13 cases)
	91. wise/prudent thing to do; good discipline to save (45/20 cases)
	97. other reason (17/10 cases)
	-6. don't/can't save (106/0 cases)
	-8. DK (5/0 cases)
	-9. NA (14/0 cases)
	 0. INAP (second reason only) (0/1717 cases)

	question: H1


B5403 	ATTITUDE TOWARD RISK.
	Respondents were asked: "Which of the following statements on
	this card comes closest to the amount of financial risk you
	are willing to take when you save or make investments?"

	 1. take substantial financial risks expecting to earn
	    substantial returns (266 cases)
	 2. take above average financial risks expecting to earn above
	    average returns (524 cases)
	 3. take average financial risks expecting to earn average
	    returns (1572 cases) 
	 4. not willing to take any financial risks (1647 cases)
	-8. DK (28 cases)
	-9. NA (66 cases)

	question: H2


B5404 	ATTITUDE TOWARD LIQUIDITY.
	Respondents were asked: "Which of the following statements on
	this card comes closest to how you feel about tying up your
	money in investments for long periods of time?"

	 1. tie up money for a long period of time to earn substantial
	    returns (535 cases)
	 2. tie up money for an intermediate period of time to earn
	    above average returns (1142 cases)
	 3. tie up money for a short period of time to earn average
	    returns (1205 cases) 
	 4. not willing to tie up money at all (1107 cases)
	-8. DK (26 cases)
	-9. NA (88 cases)

	question: H3


                      Tax Rate, Savings, Inheritance

B5405 	MARGINAL TAX RATE.
	Respondents were asked: "if you were to earn an extra dollar
	of income, about what percent would have to be paid in federal
	income taxes?" There are a substantial number of don't knows
	and NAs for this question and some "implausible" responses. 

	xxxx. percentage times 10 (1 to 1000)
	  -6. none (416 cases)
	  -8. DK (1316 cases)
	  -9. NA (38 cases)

	question: H5


B5406 	SAVINGS IN 1982.
	Respondents were asked: "considering all of your savings and
	reserve funds, overall, did you put more money in or take more
	money out in 1982?" 

	 1. put more money in (1487 cases)
	 3. stayed the same, no savings (954 cases)
	 5. took more money out (1583 cases)
	-8. DK (13 cases)
	-9. NA (66 cases)

	question: H6


B5407 	RECEIVE INHERITANCE.
	Respondents were asked: "Overall did most of your savings come
	from your regular income, or did they come originally from
	gifts and inheritances, or other sources?"

	 1. mostly saved from income; own pension/social security;
	    profit sharing (3332 cases)
	 2. mostly from gifts and inheritances (292 cases)
	 3. combinations including income (1 & 2, 1 & 4, 1 & 6) (85 cases)
	 4. settlements; insurance; lawsuit; divorce (33 cases)
	 5. have no savings (202 cases)
	 6. investment income; sale of property; interest (88 cases)
	 7. other source (20 cases)
	-8. DK (3 cases)
	-9. NA (48 cases)

	question: H7


B5408 	EXPECT INHERITANCE?
	Respondents were asked if he/she expected to ever receive a
	large inheritance. 

	 1. yes, expect inheritance (567 cases)
	 5. no, do not expect inheritance (3453 cases)
	-8. DK (66 cases)
	-9. NA (17 cases)

	question: H8


                          CREDIT ATTITUDES

     Variables in this section reflect answers given by respondent
about their attitudes toward credit and debt.  Because they represent
attitudes, not "facts," missing values have not been imputed for any
of the variables in this section. 

                        Reasons for Borrowing

B5501 	GENERAL CREDIT ATTITUDE.
	Respondents were asked: "do you think it is a good idea or a
	bad idea for people to buy things on the installment plan?"

	 1. good idea (1848 cases)
	 3. good in some ways, bad in others (1270 cases)
	 5. bad idea (948 cases)
	-8. DK (24 cases)
	-9. NA (13 cases)

	question: A1


B5502 (1st) 	WHY GOOD (OR BAD) IDEA?
B5503 (2nd) 	This is a follow-up to B5501 asking why respondent
		thought installment borrowing was good (or bad if
		B5501 = 5).  This question was not asked if B5501 was DK or 
                NA.  B5502 is a first mention and B5503 is a second
		mention if more than one was given.  Note that in some
		cases, respondents gave reasons in B5502 and/or B5503 
                that were inconsistent with their answer to B5501.

		why good idea? 
		10. enables people to improve their standard of
		    living/have a better lifestyle/get up in the world
		    (50/25 cases) 
		11. can buy now; only way (some) people can buy/have
		    things, don't have to wait until money is saved
		    up; can't afford" to buy otherwise (1325/286 cases) 
		12. can use item while paying for it (23/24 cases)
		13. teaches financial responsibility; teaches people
		    how to manage money (13/15 cases)
		14. good for the country/economy; stimulates business
		    (119/81 cases) 
		15. to establish credit; get a good credit rating
		    (136/104 cases) 
		16. to keep cash on hand; will not have spent all your
		    cash on one thing (18/16 cases)
		17. to save; to keep savings; can save some and buy at
		    same time (11/8 cases) 
		18. hedge against inflation; can buy today's goods at
		    tomorrow's dollars (16/13 cases)
		19. interest charges are a tax deduction (19/27 cases)
		20. easier to keep track of spending; simplifies
		    record keeping/staying on budget (18/15 cases)
		21. can take advantage of sales/discounts (14/18 cases)
		22. convenience; may not have cash with you, but can
		    charge it (57/41 cases) 
		23. get better service/treatment from creditor if you
		    owe money on item or have a charge account (8/3 cases)
		24. accepted medium of exchange; credit cards are
		    replacing money /ours is a credit society; can use
		    credit cards anywhere (29/14 cases) 
		25. safer to carry than money; don't lose as much if
		    stolen/lost (10/4 cases) 
		29. other reasons good (17/12 cases)

		depends or qualified by
		31. age of buyer; good if young; bad if old (23/13 cases)
		32. source of credit; bank OK, finance company not (2/3 cases)
		33. nature of purchase; good if large or necessity,
		    bad if impulse purchase or buy too much or
		    luxuries (202/113 cases) 
		34. nature of debt position; good if large/necessity,
		    bad if much in debt (47/20 cases)
		35. ability of buyer to manage money or budget; good
		    if you don't go too far in debt (442/192 cases)
		36. availability of cash; bad if you can pay cash,
		    good if you can't (44/21 cases)
		37. rate of interest or finance charges (11/11 cases)
		38. buyer's financial/job security; if have a secure
		    job; income is steady (68/24 cases)
		39. "sometimes it's necessary"--NA why; OK if really
		    need item; "for emergencies" (142/169 cases)
		49. other depends or qualifications (14/5 cases)

		why bad idea?
		51. encourage (impulse) buying; too easy to buy now,
		    pay later; buy things you don't want or need (52/65 cases)
		52. still paying for something when it's worn out/used
		    up (5/6 cases) 
		54. bad for the country/economy; bad for business;
		    causes inflation (26/29 cases)
		55. debt/credit intrinsically bad; don't believe in
		    owing money; immoral (178/59 cases)
		56. erodes character; puritan ethic; bad idea because
		    it's good for people to scrimp and save to pay for
		    what they want (25/28 cases) 
		57. leads to harrassment/repossession by creditor if
		    fall behind in payments (10/11 cases)
		58. future too uncertain; might not be able to pay
		    later if get sick or lose job (36/34 cases)
		59. interest or finance charges (too high); costs too
		    much (209/138 cases) 
		60. people abuse credit; run up bills and don't pay
		    them (87/81 cases) 
		61. creates money management/budgeting problems; buy
		    more than you can pay for; "get in over your
		    head"; too easy to go into (too much) debt (488/324 
                    cases)
		69. other reasons bad (18/9 cases)
		-8. DK (4/0 cases)
		-9. NA (47/0 cases)
		 0. INAP, NA credit good/bad or no second mention (37/2145 cases)

	question: A1a


                           REASONS FOR BORROWING.

		(A) Expenses of vacation trip
 		(B) Living expenses when income is cut
 		(C) Consolidate bills which have piled up
 		(D) Finance the purchase of a fur coat or jewelry
 		(E) Finance boats, snowmobiles and other hobby equipment
 		(F) Finance the purchase of a car
		(G) Expenses due to illness
		(H) Finance educational expenses
 		(I) Finance the purchase of furniture

B5504 (A) 	For each of the potential reasons for borrowing given in (A)-
B5505 (B) 	(I) respondents were asked: "tell me if it is all right for
B5506 (C) 	someone like yourself to borrow money to ..(each reason
B5507 (D) 	asked)?"  These variables give respondent's answers to each
B5508 (E)	reason.
B5509 (F)
B5510 (G)	 1. yes (576/1877/1981/240/869/3358/3384/3272/2022 cases)
B5511 (H) 	 5. no (3515/2182/2061/3853/3216/732/679/793/2052 cases)
B5512 (I)	-8. DK (1/25/40/0/2/4/23/18/11 cases)
		-9. NA (11/19/21/10/16/9/17/20/18 cases)

	question: A2


                               Credit Terms

B5513 (1st) 	IMPORTANT AUTOMOBILE LOAN TERMS.
B5514 (2nd) 	Respondents were asked: "... in choosing an automobile loan,
B5515 (3rd) 	which of the credit terms listed on this card would be
		most important to you if you were going to use credit
		to purchase a car?  Which comes next?  Which is
		third?"  B5513 contains the code of the most important
		term, B5514 contains the code of the second most
		important, and B5515 the code of the third most important. 

		 1. size of the loan (761/566/631 cases)
		 2. dollar amount of interest or finance charge
		    (655/698/502 cases) 
		 3. size of the monthly payments (1223/970/694 cases)
		 4. annual percentage rate of interest (932/728/545 cases)
		 5. charge for late payment (8/49/100 cases)
		 6. rebate for early payoff of loan (73/257/421 cases)
		 7. security for collateral for loan (35/106/247 cases)
		 8. size of the down payment (255/541/748 cases)
		-8. DK (57/57/57 cases)
		-9. NA (104/131/158 cases)

	question: A3


                             Interest Quiz

B5516 (1st) 	INTEREST QUIZ -- AMOUNT OF PAYMENT.
B5517 (2nd) 	Respondents were asked the following: "Suppose you
		were buying a room of furniture for a list price of
		$1,000 and you were to repay the amount to the dealer in 12 
                monthly installments.  How much do you think it would
		cost in total, for the furniture after one year --
		including all finance and carrying charges?" Variable 
                B5516 contains respondent's original "unprobed"
		response to the dollar amount of payment.  If a
		respondent responded "don't know," he/she was probed
		for their best estimate, as given in B5517.  If a
		dollar amount is given in B5516, then B5516 and 
                B5517 are the same.

		xxxx. dollars (1000 to 4000)
		  -8. DK (736/420 cases)
		  -9. NA (34/30 cases)

	question: A4,A4a


B5518 (1st) 	INTEREST QUIZ -- PERCENT RATE OF INTEREST.
B5519 (2nd) 	As a followup to the above question (B5516 or B5517)
		respondents were asked what percent rate of interest
		the payments indicated in B5516 or B5517 would imply. 
                Variable B5518 contains respondent's original
		"unprobed" response to the interest rate.  If a
		respondent responded "don't know," he/she was probed
		for their best estimate, as given in B5519.  If a
		percentage is given in B5518, then B5518 and B5519 are
		the same.  If an amount was not given in B5516 or
		B5517 then the interest rate questions were not asked.

		xxx. percentage times 10 (10 to 800)
		 -6. none (2/2 cases)
		 -8. DK (444/216 cases)
		 -9. NA (B5517 = -8 or -9) (464/464 cases)

	question: A5,A5a


B5520 	IMPLIED AMOUNT OF PAYMENT.
	This is a constructed variable based on the interest rate
	given by respondent in B5519.  It gives the implied correct
	total payments that would be paid if the interest rate given
	by respondent in B5519 were charged.  If respondent
	understands the relationship between interest rates and
	payments, then B5520 should be approximately the same as B5517.

	xxxx. dollars (1001 to 1619)
	  -8. DK (in B5519) (216 cases)
	  -9. NA (in B5519) (464 cases)


B5521 	IMPLIED INTEREST RATE.
	This is a constructed variable based on the total payment
	charges given by respondent in B5517.  It gives the implied
	correct interest rate that would be paid if the payments given
	by respondent in B5517 were made.  If respondent understands
	the relationship between interest rates and payments, then B5521 
        should be approximately the same as B5519.

	xxxx. percentage times 10 (37 to 3000)
	  -6. none (13 cases)
	  -8. DK (in B5517) (420 cases)
	  -9. NA (in B5517) (30 cases)


              Turned Down for Credit or Discouraged from Borrowing

B5522 	TURNED DOWN FOR CREDIT IN LAST FEW YEARS?
	Respondents were asked if he/she (or their spouse) had had a
	request for credit turned down by a particular lender or
	creditor in the past few years, or had been unable to get as
	much credit as he/she had applied for. 

	 1. yes, turned down (484 cases)
	 3. yes, unable to get as much credit as he/she wanted (71 cases)
	 5. not turned down (3535 cases)
	-9. NA (13 cases)

	question: A6


B5523 (1st) 	REASONS TURNED DOWN FOR CREDIT
B5524 (2nd) 	If respondents (or their spouse) had been turned down
		for credit (B5522 equals 1 or 3), he/she was asked
		what reasons he/she was given for being turned down (or 
                not receiving as much credit as he/she asked for) on
		the most recent occasion when this occurred.  B5523
		contains the code for the first reason given, and B5524 the 
                code for a second mention if one was given.

		personal characteristics of borrower
		50. family background/life history; who your parents
		    (relatives) are (0/1 cases)
		52. marital status (8/1 cases)
		53. sex (0/3 cases)
		54. combination of marital status and sex--"single
		    men", "married women" (0/1 cases)
		55. age (4/0 cases)
		56. race (2/0 cases)
		57. personal character/reputation-whether borrower is
		    stable, honest; known by other people trusted by
		    institution (3/0 cases) 
		58. health (3/0 cases)
		59. other personal characteristics of borrower (1/1 cases)

		credit characteristics of borrower
		61. need to have a checking/savings account (at
		    institution) (3/1 cases) 
		62. haven't established a credit history (107/15 cases)
		63. credit rating service/credit bureau reports (9/3 cases)
		64. credit records/history from other institutions;
		    other loans or charge accounts; previous payment
		    records; bankruptcy (103/6 cases) 
		65. lack of/not enough assets/collateral/property to
		    secure the loan (except home ownership--code 74);
		    size of down payment; financial status (49/5 cases)
		66. amount of debt; size of other payments; ability to
		    repay loan (28/8 cases) 
		69. other credit characteristics of borrower (5/0 cases)

		financial characteristics of borrower
		71. time on current job (18/7 cases)
		72. job; type of work; steady/secure employment; good
		    job (9/4 cases) 
		73. lack of job; not working; on welfare (23/6 cases)
		74. lack of home ownership (2/1 cases)
		75. time at current address; time in community or
		    state (17/8 cases) 
		76. amount of income; "income" (61/12 cases)
		77. source of income; retired (2/0 cases)
		78. where you live; what type of neighborhood/area of
		    the city you live in; if you live in the
		    state/county (2/0 cases) 
		79. other financial characteristics of borrower (3/0 cases)

		miscellaneous
		81. lack of familiarity/experience; don't have account
		    there; I'm not a credit union member (2/1 cases)
		82. previous bad experience (nec); had difficulty/been
		    turned down-- NA why (0/1 cases)
		83. institution is more "strict" in lending
		    requirements--NA in what areas (1/0 cases)
		88. inconvenient/difficult--not codable above (1/0 cases)
		89. other miscellaneous (6/0 cases)
		90. didn't approve of purpose for which money was to
		    be borrowed (11/2 cases) 
		91. loan was too large for source to handle; sources
		    doesn't have much money to lend; money reserves of
		    source are low (14/1 cases) 
		92. interest (0/1 cases)
		97. other unspecified (13/5 cases)
	  	-6. none; no reason was given; "bank policy" (29/0 cases)
	  	-8. DK (11/0 cases)
		-9. NA (5/0 cases)
		 0. INAP, not turned down for credit, no second
		    mention (3548/4009 cases) 

	question: A6a


B5525 	REAPPLY FOR CREDIT.
	Respondents were asked if he/she (or their spouse) reapplied
	for credit at the same lender or any other institution after
	he/she was turned down for credit (or did not get as much as
	he/she asked for).  If he/she had reapplied he/she was asked
	whether or not he/she eventually received as much credit as
	he/she had originally wanted.  This question was asked only if
	B5522 equaled 1 or 3. 

	 1. reapplied for credit and received as much as he/she wanted
	    (135 cases) 
	 2. reapplied for credit and were again denied or did not
	    receive as much as he/she wanted (82 cases)
	 3. reapplied for credit and NA whether he/she received as
	    much as he/she wanted 
                      (2 cases)
	 5. did not reapply (333 cases)
	-9. NA whether reapply (3 cases)
	 0. INAP, not turned down for credit (3548 cases)

	question: A6b,A6c


B5526 	DISSUADED FROM APPLYING FOR CREDIT?
	Respondents were asked if there had been any time in the past
	few years that he/she (or their spouse) had thought about
	applying for credit at a particular place, but changed their
	mind because he/she thought he/she might be turned down. 

	 1. yes (369 cases)
	 5. no (3726 cases)
	-8. DK (1 case)
	-9. NA (7 cases)

	question: A7


B5527 (1st) 	REASONS FOR THINKING HE/SHE WOULD BE TURNED DOWN.
B5528 (2nd) 	If respondents (or their spouse) had not applied for
		credit because he/she thought he/she would be turned
		down (B5526 equals 1), he/she was asked for what reasons 
                he/she thought he/she would be turned down on the most
		recent occasion when this occurred.  B5527 contains
		the code for the first reason given, and B5528 the code 
                for a second mention, if one was given.

		personal characteristics of borrower
		50. family background/life history; who your parents
		    (relatives) are (2/0 cases)
		52. marital status (12/1 cases)
		53. sex (1/0 cases)
		54. combination of marital status and sex--"single
		    men", "married women" (2/0 cases)
		55. age (9/3 cases)
		56. race (0/1 cases)
		57. personal character/reputation-whether borrower is
		    stable, honest; known by other people trusted by
		    institution (2/1 cases) 
		58. health (1/1 cases)
		59. other personal characteristics of borrower (1/1 cases)

		credit characteristics of borrower
		61. need to have a checking/savings account (at
		    institution) (2/0 cases) 
		62. haven't established a credit history (45/12 cases)
		63. credit rating service/credit bureau reports (5/1 cases)
		64. credit records/history from other institutions;
		    other loans or charge accounts; previous payment
		    records; bankruptcy (63/2 cases) 
		65. lack of/not enough assets/collateral/property to
		    secure the loan (except home ownership--code 74);
		    size of down payment; financial status (29/9 cases)
		66. amount of debt; size of other payments; ability to
		    repay loan (30/6 cases) 
		69. other credit characteristics of borrower (1/0 cases)

		financial characteristics of borrower
		71. time on current job (8/4 cases)
		72. job; type of work; steady/secure employment; good
		    job (8/4 cases) 
		73. lack of job; not working; on welfare (33/7 cases)
		74. lack of home ownership (1/0 cases)
		75. time at current address; time in community or
		    state (3/1 cases) 
		76. amount of income; "income" (51/17 cases)
		77. source of income; retired (3/0 cases)
		78. where you live; what type of neighborhood/area of
		    the city you live in; if you live in the
		    state/county (1/0 cases) 
		79. other financial characteristics of borrower (2/1 cases)

		miscellaneous
		82. previous bad experience (nec); had difficulty/been
		    turned down-- NA why (17/0 cases)
		83. institution is more "strict" in lending
		    requirements--NA in what areas (2/0 cases)
		87. "discrimination"; references to redlining--NA
		    basis (1/1 cases) 
		88. inconvenient/difficult--not codable above (1/0 cases)
		89. other miscellaneous (5/3 cases)
		91. loan was too large for source to handle; sources
		    doesn't have much money to lend; money reserves of
		    source are low (3/0 cases) 
		92. interest (3/1 cases)
		97. other unspecified (7/2 cases)
		-6. none; no reason was given; "bank policy" (1/0 cases)
		-8. DK (2/0 cases)
		-9. NA (15/0 cases)
		 0. INAP, did not think would be turned down, no
		    second mention (3734/4019 cases)

	question: A7a


B5529 	TYPE OF FINANCIAL INSTITUTION.
	If respondents (or their spouse) had not applied for credit
	because he/she thought he/she would be turned down (B5526
	equals 1), he/she was asked which type of lender this was with.

	 1. commercial bank (117 cases)
	 2. savings and loan association or savings bank (23 cases)
	 3. credit union (27 cases)
	 4. finance or loan company (51 cases)
	 5. store or dealer (113 cases)
	 6. brokerage company (1 case)
	 7. insurance company (1 case)
	 8. mortgage company (3 cases)
	11. automobile finance company (2 cases)
	12. doctor or hospital, dentist (1 case)
	15. employer (3 cases)
	16. friend or relative (not codable above) (2 cases)
	22. school, college, university (1 case)
	28. bank or general purpose credit card company; American
	    Express; VISA; Carte Blanche; Mastercard; Diners Club (8 cases)
	93. farm related lenders (not codable above) (1 case)
	96. combination of lenders (1 case)
	97. other (1 case)
	-8. DK (1 case)
	-9. NA (12 cases)
	0. INAP, did not think he/she would be turned down (3734 cases)

	question: A7b.


B5530 (1st) 	SOURCE OF INFORMATION FOR THINKING HE/SHE WOULD BE
B5531 (2nd)	TURNED DOWN.
		If respondents (or their spouse) had not applied for
		credit because he/she thought he/she would be turned
		down (B5526 equals 1), he/she was asked where he/she 
                obtained the information that led them to believe
		this.  B5530 contains the first mention given, and
		B5531 the second mention, if given. 

		11. previous experience with borrowing or with the
		    lender (29/2 cases) 
		13. from self; my own idea; just assumed I couldn't
		    get it--not 15 (99/13 cases)
		15. family or self and family; we decided we couldn't
		    get it (36/0 cases) 
		17. from friend, acquaintance (27/2 cases)
		21. (directly from) a financial institution; from
		    bank, finance company, credit union, other
		    financial institution (95/6 cases) 
		22. (direct from) stores/dealers (37/2 cases)
		30. from stated/written credit conditions;
		    "requirements" for loan (5/0 cases) 
		31. from credit bureau; credit rating service (11/0 cases)
		40. from the media; television, newspapers, radio (6/1 cases)
		97. other source (6/0 cases)
		-8. DK (2/0 cases)
		-9. NA (16/0 cases)
		 0. INAP, did not think he/she would be turned down,
		    no second mention (3734/4087 cases)

	question: A7c

                           CREDIT SHOPPING

     Respondents were asked about their most recent purchase of a
durable good or home improvement costing more than $500 and occurring
within the previous year (if any).  If he/she had made such a
purchase, details were collected on the method of payment he/she had
used and how he/she selected that method.  Most information is
self-reported.  There were about 300 cases, however, where respondents
indicated that he/she had not made a purchase of $500 dollars or more,
but information provided in the Vehicle or Consumer Loan Section
indicated that he/she had.  In these instances data was filled in
here, Credit Shopping Section, reflecting the purchase. 

                          Recent Purchase Over $500

B5601 	PURCHASE OVER $500 WITHIN A YEAR?
	Respondents were asked if he/she (or their spouse) had
	purchased a vehicle, large item for the home, a recreation
	item, or home improvements, that cost $500 or more within the
	previous year.  As indicated above, some purchases were inferred from 
        data given elsewhere.  All missing values were imputed.

	1. yes (2245 cases)
	5. no (1858 cases)

	question: G1


B5602 	TYPE OF PURCHASE.
	The type of purchase.  Asked only if a large purchase had been
	made (B5601 = 1).  Information is given for the most recent
	item purchased over $500.  All missing values were imputed
	using conditional mean tables. 

 	 1. purchase home (current residence) (2 cases)
	 2. purchase home (current residence) if mobile home (2 cases)
	 3. home improvement or addition (including assessment for
	    sewer) (223 cases) 
	 4. home repairs, upkeep, maintenance (101 cases)
	 6. New automobile (239 cases)
	 7. Used automobile (477 cases)
	 8. New truck or utility vehicle (45 cases)
	 9. Used truck or utility vehicle (165 cases)
	11. refrigerator (61 cases)
	12. stove-range, microwave oven (38 cases)
	13. dishwasher (4 cases)
	14. freezer (7 cases)
	15. air conditioner (14 cases)
	16. washing machine, washer dryer combination (31 cases)
	17. dryer (4 cases)
	18. furniture, lamps, mattress and spring combos (254 cases)
	19. rug, carpet (56 cases)
	20. vacuum cleaner (8 cases)
	21. sewing machine (2 cases)
	22. typewriter (manual or electric) (1 case)
	23. home computer, calculator, computer terminal (23 cases)
	25. combination of appliances (including TV); appliance NA
	    type (8 cases) 
	26. furniture and appliance combinations (6 cases)
	27. furniture and carpet combinations (6 cases)
	28. curtains, drapes, china, other small household
	    goods/furnishings (15 cases) 
	29. other appliances or durable goods (6 cases)
	31. stereo, phonograph (may include radio), sound equipment,
	    amp (45 cases) 
	34. piano, organ (14 cases)
	35. musical instruments (except pianos or organs) (1 case)
	36. TV -- NA color or black and white (78 cases)
	37. color TV (17 cases)
	39. "home entertainment center", (incl. combination TV, radio,
	    phonograph, etc.); beta max, video cassette
	    recorder/player (34 cases) 
	41. camera; camera equipment (incl. lighting apparatus,
	    enlarger) (4 cases) 
	49. other small/indoor hobby or entertainment items (i.e. pool
	    tables) (3 cases) 
	51. power tools (hand held or stationary) -- electric drill
	    radial arm or chain saw, belt sander, router (5 cases)
	52. yard equipment, lawn mower, snow blower, roto-tiller (11 cases)
	53. tractor, self-propelled construction/farming devices
	    (non-business) (6 cases)
	59. other tools (3 cases)
	61. boat; boating equipment (incl. trailer) (38 cases)
	62. bicycle, moped (2 cases)
	63. motorcycle (25 cases)
	65. camper-trailers (excluding self-propelled campers) (22 cases)
	66. mobile homes (not current residence); self-propelled
	    campers (7 cases) 
	67. cottage, vacation property (2 cases)
	69. other outdoor recreation items (8 cases)
	71. stamp/coin collection; antique-classic car (incl. other
	    similar "asset collections) (13 cases)
	72. investment real estate (incl. cemetery plots) (23 cases)
	79. other investments (5 cases)
	81. travel/vacation expenses (8 cases)
	82. medical/dental expenses (1 case)
	83. education/school expenses (1 case)
	86. encyclopedias, health clubs, spas (3 case)
	91. living/general expenses; moving expenses (3 cases)
	92. personal items (incl. clothing or jewelry) (43 cases)
	93. vehicle repair/upkeep (incl. insurance) (9 cases)
	94. gifts; goods or gifts of money; "christmas" (7 cases)
	97. other type (6 cases)
	 0. INAP, no purchase (1858 cases)

	question: G2


B5603 	MONTH OF THE PURCHASE.
	All missing values were imputed.

	xx. month (1 to 12)
	 0. INAP (1858 cases)

	question: G3


B5604 	YEAR OF THE PURCHASE.
	All missing values were imputed.

	1982. (1501 cases)
	1983. (744 cases)
	   0. INAP (1858 cases)

	question: G3


B5605 	COST OF THE PURCHASE.
	All missing values were imputed.  Imputations were made using
	a variety of regressions with random terms added.

	xxxxxxx. dollars (500 to 1,500,000)
	      0. INAP (1858 cases)

	question: G4


                           Method of Purchase

B5606 	METHOD OF PAYMENT.
	All missing values were imputed.  Imputations were made using
	conditional means. 

	 1. credit card -- paid in full when received bill (181 cases)
	 2. credit card -- bill not paid in full when received (127 cases)
	 3. credit card -- DK or NA whether bill paid in full when
	    received (4 cases) 
	 4. credit card -- bill not received, but will pay in full (12 cases)
	 5. credit card -- bill not received, will not pay in full (7 cases)
	 7. cash or check where the funds originally came from a loan
	    against a line of credit (8 cases)
	 8. cash or check where the funds came from savings or
	    investments (1106 cases) 
	 9. cash or check where the funds came from an other source (16 cases)
	10. cash or check NA or DK original source of funds (14 cases)
	11. cash or check original source of funds from loan (26 cases)
	12. loan (696 cases)
	13. line of credit loan (38 cases)
	14. other method (10 cases)
	 0. INAP (1858 cases)

	question: G5,G5a,G5b,G5c


                         Terms and Location of Loan

B5607 	AMOUNT STILL OUTSTANDING ON LOAN.
	Asked only if a loan was used for the purchase (B5506 = 11 or
	12).  All missing values were imputed.  If the loan is still
	outstanding it will be included in the Housing or Consumer
	Loan Section.  The amount listed here, therefore, is identical 
        to the amount for the appropriate variable of B4212 etc.  The
	formula for computing the amount outstanding and for
	imputations is given there. 

	xxxxxx. dollars (39 to 240,000)
	    -6. loan paid off (43 cases)
	     0. INAP, no purchase or loan not used for payment (3381 cases)

	question: G6 (and loan questions)


B5608 	ORIGINAL AMOUNT BORROWED.
	Asked only if a loan was used for the purchase (B5506 = 11 or
	12).  All missing values were imputed.  If the loan is still
	outstanding, this variable will be the same as the appropriate
	variable in B4218 etc. 

	xxxxxx. dollars (184 to 240,000)
	     0. INAP (3381 cases)

	question: G6a (and loan questions)


B5609 	SIZE OF EACH PAYMENT.
	Asked only if a loan was used for the purchase (B5506 = 11 or
	12).  All missing values were imputed.  If the loan is still
	outstanding, this variable will be the same as the appropriate
	variable in B4219 etc. 

	xxxxx. dollars (10 to 27,600)
	   -6. no regular payments (74 cases)
	    0. INAP (3881 cases)

	question: G6b (and loan questions)


B5610 	FREQUENCY OF PAYMENTS.
	Asked only if a loan was used for the purchase (B5506 = 11 or
	12).  All missing values were imputed.  If the loan is still
	outstanding, this variable will be the same as the appropriate
	variable in B4220 etc. 

	3. weekly (17 cases)
	4. biweekly (5 cases)
	5. monthly (621 cases)
	6. yearly (5 cases)
	8. no regular payments (74 cases)
	0. INAP (3381 cases)

	question: G6c (and loan questions)


B5611 	ORIGINAL NUMBER OF PAYMENTS.
	Asked only if a loan with regular payments was used for the
	purchase (B5506 = 11 or 12 and B5610 = 3-7).  All missing
	values were imputed.  If the loan is still outstanding, this
	variable will be the same as the appropriate variable in B4221 etc.

	xxx. numbers (2 to 520)
	  0. no regular payments, INAP (3455 cases)

	question: G6c (and loan questions)


B5612 	NUMBER OF PAYMENTS LEFT.
	Asked only if a loan with regular payments was used for the
	purchase (B5506 = 11 or 12 and B5610 = 3-7).  All missing
	values were imputed.  If the loan is still outstanding, this
	variable will be the same as the appropriate variable in B4222 etc.

	xxx. numbers (1 to 499)
	  0. no regular payments, loan paid off, INAP (3473 cases)


B5613 	ANNUAL RATE OF INTEREST.
	Asked only if a loan was used for the purchase (B5506 = 11 or
	12).  All missing values were imputed.  If the loan is still
	outstanding, this variable will be the same as the appropriate
	variable in B4223 etc. 

	xxx. percentage rate times 10 (10 to 376)
	 -6. none (20 cases)
	  0. INAP (3381 cases)

	question: G6d (and loan questions)


B5614 	SOURCE OF LOAN.
	Asked only if a loan was used for the purchase (B5506 = 11 or
	12).  All missing values were imputed.  If the loan is still
	outstanding, this variable will be the same as the appropriate
	variable in B4224 etc. 

	 1. commercial bank (280 cases)
	 2. savings and loan association or savings bank (49 cases)
	 3. credit union (49 cases)
	 4. finance or loan company (96 cases)
	 5. store or dealer (57 cases)
	 6. brokerage company (1 case)
	 7. insurance company (7 cases)
	 8. mortgage company (2 cases)
	 9. contractor or developer (3 cases)
	10. prior owner (8 cases)
	11. automobile finance company (84 cases)
	15. employer (1 case)
	16. friend or relative (not codable above) (35 cases)
	17. individual lender (not codable above) (3 cases)
	22. real estate investment company (1 case)
	24. federal government: FMHA, SBA, VA, FHA, HUD, NDSL (3 cases)
	97. other source (3 cases)
	 0. INAP (3381 cases)

	question: G6e (and loan questions)


B5615 	ORIGINAL MATURITY IN MONTHS.
	Asked only if a loan was used for the purchase (B5506 = 11 or
	12).  All missing values were imputed.  If the loan is still
	outstanding, this variable will be the same as the appropriate
	variable in B4217 etc. 

	xxx. months (2 to 360)
	 -9. NA (52 cases)
	  0. INAP (3381 cases)


B5616 (1st) 	WHY CHOOSE LENDER TYPE?
B5617 (2nd) 	Asked only if a loan was used for the purchase (B5506
		= 11 or 12).  Respondents were asked what were the
		main reasons why he/she borrowed where he/she did rather 
                than at another type of institution.  No imputations.
		B5616 is the first reason given, and B5617 the second (if any).

		financial reasons
		 1. interest rate paid (131/38 cases)
		 3. loan policies -- good/easy; will give me loan if I
		    need one (33/17 cases) 
		 9. "good services/good terms" NA what (9/8 cases)

		other characteristics of institution
		13. proximity, location; nearby; near my office (2/4 cases)
		14. they take care of all the paper work (2/0 cases)
		15. "convenient"/"easy" NA in what way (50/14 cases)
		16. (can pay by) payroll deduction (9/13 cases)
		21. institution is safe, stable, honest, reputable,
		    experienced; deposit insured (by federal
		    government) (1/1 cases) 
		31. people there are
		    nice/pleasant/courteous/helpful/friendly (1/2 cases) 

		respondent's personal reasons
		80. no choice; only institution in area/town;
		    family/parents do (13/0 cases) 
		81. familiarity; used to it; have other accounts
		    there; business there; have borrowed there; good
		    prior experience with lender (126/25 cases) 
		82. have other business relationship with this
		    institution; respondent's business has accounts
		    there (7/0 cases) 
		83. respondent works there; knows people who work
		    there (17/6 cases) 
		84. recommended by third party (10/1 cases)
		85. to use as a credit reference (for other loans) (4/2 cases)
		86. ease of/aid to personal record keeping; "they send
		    monthly statements" (0/1 cases)
		87. dealer uses this financial institution (45/11 cases)
		91. "Trust them" -- NA why; "like them" -- NA why (3/1 cases)
		92. they had the particular product R wanted (3/1 cases)
		97. other reason (10/1 cases)
		-8. DK (3/0 cases)
		-9. NA (243/0 cases)
		 0. INAP, no second mention (3381/3957 cases)

	question: G7


B5618 (1st) 	WHY CHOOSE SPECIFIC LENDER?
B5619 (2nd) 	Asked only if a loan was used for the purchase (B5506
		= 11 or 12).  Respondents were asked what were the
		main reasons why he/she borrowed at the specific firm 
                where he/she did rather than at another lender.  No
		imputations.  B5618 is the first reason given, and
		B5619 the second (if any). 

		financial reasons
		 1. interest rate paid (61/20 cases)
		 3. loan policies -- good/easy; will give me loan if I
		    need one (31/5 cases) 
		 9. "good services/good terms" NA what (11/3 cases)

		other characteristics of institution
		12. hours/days open; open late or on Saturday (0/1 cases)
		13. proximity, location; nearby; near my office (8/4 cases)
		14. they take care of all the paper work (2/0 cases)
		15. "convenient"/"easy" NA in what way (33/6 cases)
		16. (can pay by) payroll deduction (3/5 cases)
		21. institution is safe, stable, honest, reputable,
		    experienced; deposit insured (by federal
		    government) (0/1 cases) 
		31. people there are
		    nice/pleasant/courteous/helpful/friendly (5/1 cases) 

		respondent's personal reasons
		80. no choice; only institution in area/town;
		    family/parents do (7/0 cases) 
		81. familiarity; used to it; have other accounts
		    there; business there; have borrowed there; good
		    prior experience with lender (160/16 cases) 
		82. have other business relationship with this
		    institution; respondent's business has accounts
		    there (15/1 cases) 
		83. respondent works there; knows people who work
		    there (27/4 cases) 
		84. recommended by third party (13/1 cases)
		87. dealer uses this financial institution (70/4 cases)
		90. decision made by someone else -- NA why selected
		    this (1/0 cases) 
		91. "Trust them" -- NA why; "like them" -- NA why (3/2 cases)
		92. they had the particular product R wanted (13/0 cases)
		97. other reason (4/1 cases)
		-8. DK (5/0 cases)
		-9. NA (250/0 cases)
		 0. INAP, no second mention (3381/4028 cases)

	question: G8


B5620 	CREDIT PREVIOUSLY OBTAINED FROM LENDER?
	Asked only if a loan was used for the purchase (B5506 = 11 or
	12).  Respondents were asked if he/she (or their spouse) had
	otained credit before from the lender he/she used to make
	their purchase.  No imputations. 

	 1. yes, obtained credit before (271 cases)
	 5. no, had not obtained credit before (217 cases)
	-9. NA (234 cases)
	 0. INAP (3381 cases)

	question: G9


B5621 	CREDIT FACTOR IN PURCHASE?
	Asked only if a loan was used for the purchase (B5506 = 11 or
	12) and the loan was obtained from a store, dealer, or
	contractor (B5614 = 5, 9, 11 or 12).  Respondents were asked
	if obtaining credit at the store (or seller) was a factor in
	purchasing the item there.  No imputations. 

	 1. yes, factor (35 cases)
	 5. no, not a factor (74 cases)
	-9. NA (127 cases)
	 0. INAP, loan not obtained from store dealer or contractor
	    (3867 cases) 
	
	question: G10a


B5622 	HOW CREDIT A FACTOR IN PURCHASE.
	If obtaining credit at the store or dealer was a factor in
	purchasing the item there (B5621 = 1), respondents were asked
	what feature of the credit availability affected their
	decision to purchase the item.  No imputations. 

	 1. convenience or ease (13 cases)
	 2. a good or favorable interest rate (6 cases)
	 3. got better purchase price if financed at the dealer (1 case)
	 4. other feature (8 cases)
	-9. NA (7 cases)
	 0. INAP, loan financing at dealer not a factor in purchase
	    (4068 cases) 

	question: G10a


                 Information Sought on Borrowing Terms

B5623 (1st) 	OTHER WAYS OF BUYING THE ITEM CONSIDERED.
B5624 (2nd) 	Respondents were asked what other method of payment
		he/she considered (besides the one he/she used).
		B5623 is first method mentioned, and B5624 the second
		(if any).  A second mention was possible only if a
		loan was chosen for payment (B5606 = 11 or 12).  No
		imputations. 

		 1. cash (143/2 cases)
		 2. credit card or charge account (36/0 cases)
		 3. line of credit (38/1 cases)
		 4. another type of loan or credit (163/1 cases)
		 6. no other method of payment considered (B5623 only)
		    (1504/0 cases) 
		 7. other method (11/3 cases)
		-8. DK (1/0 cases)
		-9. NA (349/0 cases)
		0. INAP, no purchase or second mention (1858/4096 cases)

	question: G11/G12


B5625 	INFORMATION OBTAINED ON CREDIT?
	If respondents used a loan (B5606 = 11 or 12) or considered
	using it (B5623 = 4 or B5624 = 4) he/she was asked if he/she
	tried to obtain information on creditors or credit terms prior
	to purchase.  No imputations. 

	 1. yes, tried to obtain information (183 cases)
	 5. no, did not try to obtain information (396 cases)
	-9. NA (252 cases)
	 0. INAP, did not use (or consider) a loan (3272 cases)

	question: G12


B5626 (1st) 	HOW INFORMATION OBTAINED.
B5627 (2nd) 	If respondents tried to obtain information on
		creditors or credit terms prior to purchase (B5625 =
		1), he/she was asked how he/she tried to obtain information. 
                B5626 is the first mention and B5627 the second (if
		any).  No imputations. 

		 1. contacted (other) stores (1/0 cases)
		 2. contacted (other) dealers (28/4 cases)
		 4. contacted (other) banks (65/17 cases)
		 5. contacted (other) savings and loan associations (4/2 cases)
		 6. contacted (other) finance companies - GMAC (9/2 cases)
		 7. contacted credit union (28/7 cases)
		 8. contacted other credit source (see card) (1/0 cases)
		 9. shopped/looked around -- NA where (6/0 cases)
		11. talked with friends/neighbors/relatives (3/1 cases)
		12. checked in media/advertising sources (5/1 cases)
		13. "I phoned several places to ask about..."; "I
		    called them"; "asked other people" -- NA who (18/3 cases)
		-9. NA (10/0 cases)
		 0. INAP, did not try to obtain information (3920/4066 cases)

	question: G13a


B5628 (1st) 	WHAT KIND OF INFORMATION DESIRED.
B5629 (2nd) 	If respondents tried to obtain information on
		creditors or credit terms prior to purchase (B5625 =
		1), he/she was asked what kind of information he/she sought. 
                B5628 is the first mention and B5629 the second (if
		any).  No imputations. 

		 1. interest rate--low(er)/reasonable/best available
		    rates (128/13 cases) 
		 4. finance charges (other than interest or NA if
		    includes interest)-- low(er) or none (4/2 cases)
		 5. amount of down payment (4/7 cases)
		 6. size of (monthly) payments; payment amount (6/17 cases)
		 7. variations in payment amounts; balloon payments;
		    larger final payment (0/1 cases)
		 8. longer contracts--more time to pay off loan; length
		    of loan (4/13 cases) 
		 9. easier to get credit--require less
		    information/collateral; less stringent rules for
		    giving credit; get credit approval faster; no red
		    tape (3/2 cases)  
		10. availability of credit insurance--offer/give
		    credit insurance; low(er) reasonable cost for
		    credit insurance (1/0 cases) 
		12. handling of early payments--low/no penalty for
		    pre-payments; rebate/dismissal of interest of
		    finance charges when pay off early (0/2 cases)
		19. co-signers--will allow co-signing of loan (0/1 cases)
		20. amount of money he/she will let me borrow; what my
		    credit limit was (5/4 cases)
		25. credit terms/arrangements--NA what (10/5 cases)
		26. give the best (a better) deal-NA how (4/0 cases)
		28. "method of repayment"--nfs (0/3 cases)
		29. other credit terms or cost of loan (see card) (0/1 cases)
		41. availability of credit; credit institution would
		    lend me the money; I could qualify for a loan;
		    only place I could get a loan (4/0 cases) 
		97. other information (1/1 cases)
		-8. DK (1/0 cases)
		-9. NA (8/0 cases)
		 0. INAP, did not try to obtain information (3920/4031 cases)

	question: G13b

                   ECONOMIC DATA FOR HOUSEHOLDS' GEOGRAPHIC AREA

     Economic data were collected from census tapes for the county and
SMSA (when applicable) where the household was interviewed.  Data were
drawn from the Census publication, "County and City Data Book 1983,"
U.S. Bureau of the Census, 1983.  A variety of items were collected at
the county level reflecting the 1980 Census and some economic
information for 1982.  Only population was collected at the SMSA
level.  These data are supposed to be reflective of the household's
economic environment.  For some counties though, such as Los Angeles,
the county may be too large to give a meaningful indication of the
household's particular environment.  There is a fair amount of
dispersion in these variables as households in the SCF were located in
132 different counties and 59 different SMSAs.  No geographic
information is given for the high-income sample. 


                              SMSA Data

B5701 	SMSA CODE.
	This variable is the MSA/PMSA (Metropolitan Statistical Area
	or Primary Metropolitan Statistical Area) code defined for the
	household's metropolitan area (if they live in one) as of
	1983.  This is coded as zero if the household did not 
        live in an SMSA or was in the high-income sample.

 	  40. Abilene, TX (28 cases)
 	 360. Anaheim-Santa Ana, CA (23 cases)
	 520. Atlanta, GA (57 cases)
	 620. Aurora-Elgin, IL (19 cases)
	 720. Baltimore, MD (33 cases)
	 860. Bellingham, WA (49 cases)
	1120. Boston, MA (42 cases)
	1140. Bradenton, FL (27 cases)
        1160. Bridgeport-Milford, CT (33 cases)
        1480. Charleston, WVA (43 cases)
	1600. Chicago, IL (68 cases)
	1680. Cleveland, OH (37 cases)
	1760. Columbia, SC (76 cases)
	2000. Dayton-Springfield, OH (32 cases)
	2160. Detroit, MI (79 cases)
	2285. East St. Louis-Belleville, IL (10 cases)
	2400. Eugene-Springfield, OR (71 cases)
	2640. Flint, MI (50 cases)
	2960. Gary-Hammond, IN (14 cases)
	3200. Hamilton-Middletown, OH (30 cases)
	3360. Houston, TX (71 cases)
	3480. Indianapolis, IN (36 cases)
	3640. Jersey City, NJ (10 cases)
	3965. Lake County, IL (20 cases)
	4400. Little Rock-Nort Little Rock, AR (61 cases)
	4480. Los Angeles-Long Beach, CA (105 cases)
	4520. Louisville, KY-IND (43 cases)
	5000. Miami-Hialeah, FL (23 cases)
	5015. Middlesex-Somerset-Hunterdon, NJ (63 cases)
	5120. Minneapolis-St. Paul, MN-WI (59 cases)
	5240. Montgomery, AL (35 cases)
	5380. Nassau-Suffolk, NY (21 cases)
	5520. New London-Norwich, CT-RI (33 cases)
	5600. New York, NY (21 cases)
	5640. Newark, NJ (22 cases)
	5775. Oakland, CA (24 cases)
	5960. Orlando, FL (53 cases)
	6160. Philadelphia, PA-NJ (60 cases)
	6200. Phoenix, AZ (39 cases)
	6280. Pittsburgh, PA (54 cases)
	6760. Richmond-Petersburg, VA (36 cases)
	7040. St. Louis, MO-IL (25 cases)
	7160. Salt Lake City-Ogdon, UT (66 cases)
	7320. San Diego, CA (40 cases)
	7360. San Francisco, CA (26 cases)
	7510. Sarasota, FL (49 cases)
	7560. Scranton-Wilkes-Barre, PA (33 cases)
	7600. Seattle, WA (27 cases)
	7620. Sheboygan, WI (35 cases)
	7760. Sioux Falls, SD (63 cases)
	8160. Syracuse, NY (46 cases)
	8400. Toledo, OH (36 cases)
	8480. Trenton, NJ (28 cases)
	8560. Tulsa, OK (55 cases)
	8720. Vallejo-Fairfield-Napa, CA (45 cases)
	8780. Visalla-Tulare-Porterville, CA (27 cases)
	8840. Washington, DC-MD-VA (45 cases)
	8920. Waterloo-Cedar Falls, IA (52 cases)
	9240. Worcester, MA (27 cases)
 	   0. high-income or not in SMSA (1569 cases)


B5702 	SMSA POPULATION.
	This variable is the 1980 Census population for the SMSA (if
	any) where the household lives.  Definitions as of 1983 were
	sed to define the size of each SMSA. 

	xxxxxxx. population of SMSA (10,035 to 82,496)
	      0. high-income or not in SMSA (1569 cases)


                            County Data

B5703 	COUNTY (FIPS) CODE
	This variable is the Census-defined FIPS code for the county
	the household lived in when interviewed for the Survey.  The
	FIPS code is a 5 digit code, where the first two numbers are
	the state (the same as variable B3121) and the last three 
        digits are a three digit county code within the state.  Coded
	for all cross-section observations.

	 1101. Montgomery County, Ala. (35 cases)
	 4013. Maricopa County, AZ (39 cases)
	 5019. Clark County, AR (52 cases)
	 5093. Mississippi County, AR (53 cases)
	 5119. Pulaski County, AR (47 cases)
	 5125. Saline County, AR (14 cases)
	 6001. Alameda County, CA (24 cases)
	 6037. Los Angeles County, CA (104 cases)
	 6055. Napa County, CA (45 cases)
	 6059. Orange County, CA (23 cases)
	 6063. Monterey County, CA (36 cases)
	 6073. San Diego County, CA (40 cases)
	 6075. San Francisco County, CA (10 cases)
	 6081. San Mateo County, CA (16 cases)
	 6107. Tulare County, CA (27 cases)
	 8075. Logan County, CO (46 cases)
  	 9001. Fairfield County, CT (33 cases)
	 9011. New London County, CT (33 cases)
	11000. District of Columbia (6 cases)
	12025. Dade County, FL (23 cases)
	12081. Manatee County, FL (23 cases)
	12095. Orange County, FL (50 cases)
	12115. Sarasota County, FL (49 cases)
	12117. Seminole County, FL (3 cases)
	13089. DeKalb County, GA (31 cases)
	13121. Fulton County, GA (21 cases)
	13135. Gwinnett County, GA (5 cases)
	13185. Lowndes County, GA (52 cases)
	17031. Cook County, IL (62 cases)
	17043. Du Page County, IL (6 cases)
	17089. Kane County, IL (19 cases)
	17097. Lake County, IL (20 cases)
	17107. Logan County, IL (36 cases)
	17157. Randolph County, IL (41 cases)
	17163. St. Clair County, IL (10 cases)
	18059. Hancock County, IN (8 cases)
	18089. Lake County, IN (14 cases)
	18097. Marlon County, IN (28 cases)
	19013. Black Hawk County, IA (52 cases)
	19047. Crawford County, IA (35 cases)
	21111. Jefferson County, KY (43 cases)
	21177. Kenton County, KY (36 cases)
	22001. Acadia County, LA (44 cases)
	22035. East Carroll County, LA (38 cases)
	23031. York County, ME (33 cases)
	24005. Baltimore County, MD (4 cases)
	24025. Harford County, MD (12 cases)
	24031. Montgomery County, MD (5 cases)
	24510. Baltimore City (independent city), MD (17 cases)
 	25017. Middlesex County, MA (30 cases)
	25025. Suffolk County, MA (12 cases)
	25027. Worcester County, MA (59 cases)
	26049. Genesee County, MI (50 cases)
	26099. Macomb County, MI (14 cases)
	26115. Monroe County, MI (11 cases)
	26125. Oakland County, MI (20 cases)
	26149. St. Joseph County, MI (40 cases)
	26163. Wayne County, MI (34 cases)
	27053. Hennepin County, MN (40 cases)
	27123. Ramsey County, MN (5 cases)
	27163. Washington County, MN (14 cases)
	28127. Simpson County, MS (46 cases)
	29001. Adair County, MO (28 cases)
	29099. Jefferson County, MO (6 cases)
	29189. St. Louis County, MO (17 cases)
	29207. Stoddard County, MO (45 cases)
	29510. St. Louis City (independent city), MO (2 cases)
	31061. Franklin County, NB (47 cases)
	34007. Camden County, NJ (4 cases)
	34013. Essex County, NJ (22 cases)
	34017. Hudson County, NJ (10 cases)
	34021. Mercer County, NJ (28 cases)
	34023. Middlesex County, NJ (26 cases)
	34035. Somerset County, NJ (87 cases)
	36005. Bronx County, NY (16 cases)
	36047. Kings County, NY (30 cases)
	36053. Madison County, NY (19 cases)
	36059. Nassau County, NY (17 cases)
	36061. New York County, NY (22 cases)
	36067. Onondaga County, NY (27 cases)
	36081. Queens County, NY (24 cases)
	36085. Richmond County, NY (7 cases)
	36103. Suffolk County, NY (4 cases)
	36111. Ulster County, NY (25 cases)
	36119. Westchester County, NY (22 cases)
	37053. Currituck County, NC (58 cases)
	37147. Pitt County, NC (41 cases)
	37189. Watauga County, NC (60 cases)
	39017. Butler County, OH (30 cases)
	39035. Geauga County, OH (10 cases)
	39063. Hancock County, OH (28 cases)
	39083. Knox County, OH (51 cases)
	39085. Lake County, OH (10 cases)
	39095. Lucas County, OH (36 cases)
	39113. Montgomery County, OH (32 cases)
	40037. Creek County County, OK (15 cases)
	40143. Tulsa County, OK (40 cases)
	41039. Lane County,County, OR (71 cases)
	42003. Allegheny County County, PA (39 cases)
	42029. Chester County, PA (39 cases)
	42079. Luzerne County, PA (33 cases)
	42101. Philadelphia County, PA (17 cases)
	42109. Snyder County, PA (54 cases)
	42125. Washington County, PA (18 cases)
	45063. Lexington County, SC (26 cases)
	45079. Richland County, SC (50 cases)
	46099. Minnehaha County, SD (63 cases)
	47007. Bledsoe County, TN (66 cases)
	48201. Harris County, TX (71 cases)
	48253. Jones County, TX (8 cases)
	48441. Taylor County, TX (28 , ases)
	49035. Salt Lake County,UT (66, cases)
	51059. Fairfax County, VA (22 cases)
	51085. Hanover County, VA (14 cases)
	51087. Henrico County, VA (8 cases)
	51600. Fairfax (independent city), VA (12 cases)
	51760. Richmond (independent city), VA (14 cases)
	53033. King County, WA (27 cases)
	53073. Whatcom County, WA (49 cases)
	54039. Kanawha County, WA (43 cases)
	55117. Sheboygan County, WI (35 cases)
	    0. high-income sample (438 cases)


B5704 	COUNTY POPULATION
	The county population as measured in the 1980 Census.

	xxxxxxxx. population (4,377 to 7,577,503)
	       0. high-income sample (438 cases)


B5705          	PERCENTAGE CHANGE IN POPULATION.
	Simple percentage change in the county's population between
	the 1970 and 1980 Censuses.

	xxxx. percentage change times ten (-272 to 1,307)


B5706	TOTAL HOUSEHOLDS.
	The total number of households in the county as measured in
	the 1980 Census. A housing unit is defined as a house, an
	apartment, a group of  rooms, or a single room occupied as
	separate living quarters.  The occupants of a housing unit may 
        include one or more families living together, one person
	living alone, or any other group of related or unrelated persons.

  	xxxxxxx. total households (1,743 to 2,730,469)
 	      0. high-income sample (438 cases)


B5707	FAMILY HOUSEHOLDS.
 	This variable represents households whereby the occupants are
	related by birth, marriage, or adoption and live together as
	one houshold.  Given for the county as of the 1980 Census.

	xxxxxxx. total family households (1,255 to 1,811,587)
	      0. high-income sample (438 cases)


B5708	NON-FAMILY HOUSEHOLDS.
	This variable represents the number of households where the
	occupants are unrelated by birth, marriage, or adoption, but
	live together as one household.  It is the difference between
	total households and family households (B5706-B5707). 

	xxxxxx. total non-family households (488 to 918,882)
	     0. high-income sample (438 cases)


B5709	POPULATION BY RACE - WHITE.
	The population by race variables are percentages of the total
	population in the county in 1980.  They reflect
	self-identification by the respondents.  The White population
	includes persons identifying themselves as White, as well as persons 
        who did not classify themselves under a specific category, but
	entered a nationality such as Canadian, German, or Polish.

	xxxx. percentage of population that is white times 100 (2737 to 9966)
	   0. high-income sample (438 cases)


B5710	POPULATION BY RACE - BLACK.
	Percentage of persons in the county who were black in the 1980
	Census.  The black population includes persons identifying
	themselves as black, as well as persons who did not classify
	themselves under a specific category, but entered a 
        nationality such as black Puerto Rican, Haitian, Jamaican,
	Nigerian, or West Indian.

	xxxx. percentage of population that is black times 100 (8 to 7024)
	   0. high-income sample (438 cases)


B5711	POPULATION BY RACE - SPANISH ORIGIN.
	Percentage of persons in the county of Spanish origin in 1980
	Census.  The Spanish population includes persons identifying
	themselves as Mexican, Puerto Rican, Cuban, or other Spanish.

	xxxx. percentage of population that is Spanish times 100 (18 to 3568)
	   0. high-income sample (438 cases)


B5712	POPULATION BY AGE - 65 YEARS OLD AND OLDER.
	The percentage of persons in the county 65 years old in the
	1980 Census. 

	xxx. percentage of population 65 years old and older times ten
	     (45 to 300) 
	  0. high-income sample (438 cases)


B5713	POPULATION BY SEX - MALES.
	The percentage of persons in the county in the 1980 Census who
	were male. 

	xxx. percentage of population that is male times ten (450 to 529)
	  0. high-income sample (438 cases)


B5714	MEDIAN AGE.
	The median age of the population in the county in 1980 Census.

	xxx. median age times ten (245 to 498)
	  0. high-income sample (438 cases)


B5715 	MARRIED COUPLES.
	The percentage of married couples out of total family
	households (B5707) as measured for the county in the 1980 Census.

	xxx. percentage of married couples times ten (560 to 920)
	  0. high-income sample (438 cases)


B5716	FEMALE-HEADED OF HOUSEHOLDS.
	The percentage of female-headed (no husband or partner
	present) households among all family households (B5707) for
	the county in 1980. 

	xxx. percentage of female-headed households times ten (53 to 365)
	  0. high-income sample (438 cases)


B5717	URBAN POPULATION.
	This variable represents the percentage of total persons
	living in a Census-defined urban area within the county in 1980.

	xxxx. percentage of urban population times ten (153 to 1000)
	   0. none, high-income sample (609 cases)


                               Mobility

B5718	NON-MOVERS.
	This and the following variables characterize the residential
	mobility of the population between 1975 and 1980 as measured
	by the 1980 Census.  The data are based on a sample of persons
	5 years old and over and represent the percent of the
	population that lived in a different house or apartment on April 1,
	1975, than on April 1, 1980.  Items are measured for the
	county.  This particular variable represents the percentage of
	the population that lived in the same house or apartment in
	1975 and 1980. 

	xxx. percentage of non-movers times ten (368 to 756)
	  0. high-income sample (438 cases)


B5719	MOVING IN THE SAME COUNTY.
	The percentage of the population that lived in a different
	house but in the same county in 1975.

	xxx. percentage of movers in the same county times ten (37 to 349)
	  0. high-income sample (438 cases)


B5720	MOVING IN THE SAME STATE.
	The percentage of the population that lived in a different
	county but in the same state in 1975.

	xxx. percentage of movers in the same state times ten (20 to 322)
	  0. high-income sample (444 cases)


B5721	MOVING IN DIFFERENT STATE.
	The percentage of the population that lived in a different
	state or abroad in 1975.

	xxx. percentage of movers from different states times ten (32 to 298)
	  0. high-income sample (438 cases)


                           Vital Statistics

B5722	BIRTH RATE.
        The number of births in the county per 1000 resident
	population as of April 1, 1980.

	xxx. birth rate times ten (55 to 268)
	  0. high-income sample (438 cases)


B5723	BIRTH RATE TO MOTHERS UNDER 20 YEARS OLD
	The number of births in the county per 1000 resident
	population to mothers under the age of 20 as of April 1, 1980.

	xxx. birth rate to mothers under 20 years old times ten (33 to 353)
	  0. high-income sample (438 cases)


                                 Housing

B5724	MEDIAN VALUE OF OWNER-OCCUPIED HOUSING UNITS.
	This variable is based on the owner's estimate of the value of
	property if it was for sale.  Given for the county as of the
	1980 Census. 

	xxxxxx. dollars (18,800 to 124,400)
	     0. high-income sample (438 cases)


B5725	MEDIAN GROSS RENT OF RENTER-OCCUPIED HOUSING UNITS.
	This variable is based on contract rent per month plus the
	average estimated monthly utility costs paid by the renter or
	by someone else for the renter.  Given for the county as of
	the 1980 Census. 

	xxx. dollars (109 to 358)
	  0. high-income sample (438 cases)


                                  Income

B5726	MEDIAN HOUSEHOLD INCOME.
	Household income is total money income received during the
	1979 calendar year by all household members 15 years old and
	over and by persons living alone and in other non-family
	households.  This is the median for the county as of the 1980 
        Census.

	xxxxx. dollars (7,780 to 30,011)
	    0. high-income sample (438 cases)


B5727	MEDIAN FAMILY INCOME.
	Family income includes total money income received by
	allhousehold members 15 years old and over who are related by
	blood, marriage, or adoption.  This is the median for the
	county as of the 1980 Census. 

	xxxxx. dollars (10,388 to 33,702)
	    0. high-income sample (438 ca, es)


B5728	FAMILIES BELOW POVERTY LEVEL.
	Percentage of families in the county with a 1979 family income
	below the poverty threshold, which is determined by family
	size, age of householder, and number of related children under
	18 years old.  Taken from 1980 Census. 

	xxx. percentage of familes below poverty level times ten (23 to 345)
	  0. high-income sample (438 cases)


B5729	FEMALE-HEADED FAMILIES BELOW POVERTY LEVEL.
	Percentage of families in the county headed by females (no
	husband or partner present) having a 1979 family income below
	the poverty threshold.  The poverty threshold is determined by
	the family size, age of householder, and number of related
	children under 18 years old. 

	xxx. percentage of female-headed families below poverty level
	     times ten (108 to 650)
	  0. high-income sample (438 cases)


B5730	PER CAPITA PERSONAL INCOME.
	The average income per-person in the county as estimated on
	July 1, 1981. 

	xxxxx. dollars (5,222 to 17,903)
 	    0. high-income sample (438 cases)


B5731	PER CAPITA TRANSFER PAYMENTS.
	This is per-captita transfer payments not resulting from
	current production and including government and business
	transfer payments. 

	xxxxxx. dollars (669 to 149,551)
	     0. high-income sample (438 cases)


B5732	PER CAPITA MONEY INCME.
	Per capita 1979 money income as measured by the 1980 Census
	for the county. 

	xxxxx. dollars (4011 to 12,335)
	    0. high-income sample (438 cases)


                            Employment

B5733	TOTAL CIVILIAN LABOR FORCE - 1982.
	Based on data from the US Bureau of Labor Statistics (BLS).

	xxxxxxx. persons (1,998 to 3,784,000)
	      0. high-income sample (438 cases)


B5734	UNEMPLOYMENT RATE - 1982.
	Based on the BLS definition of unemployment.  Measured for the
	county as of 1982. 

	xxx. unemployment rate time ten (25 to 224)
	  0. high-income sample (438 cases)


B5735	TOTAL CIVILIAN LABOR FORCE - 1980.
	Based on data from the US Bureau of Census and includes
	employed and unemployed civilians.

	xxxxxxx. persons (1,951 to 3,705,516)
	      0. high-income sample (438 cases)


B5736	CIVILIAN LABOR FORCE - FEMALE.
	Females as a percentage of the civilian labor force in the
	1980 Census. 

	xxx. percentage female times ten (330 to 511)
	  0. high-income sample (438 cases)


B5737	UNEMPLOYED.
	The unemployed as a percentage of the civilian labor force in
	the 1980 Census. 

	xxx. percentage unemployed times ten (16 to 169)
	  0. high-income sample (438 cases)


B5738	EMPLOYED IN MANUFACTURING.
	Percentage of the county civilian labor force employed in the
	manufacturing sector according to the 1980 Census.

	xxx. percentage employed in manufacturing times ten (38 to 432)
	  0. high-income sample (438 cases)


B5739	EMPLOYED IN WHOLESALE AND RETAIL TRADE.
	Percentage of the county civilian labor force employed in the
	wholesale and retail trade sector according to the 1980 Census.

	xxx. percentage employed in wholesale and retail trade times
	     ten (117 to 261) 
	  0. high-income sample (438 cases)


B5740	EMPLOYED IN PROFESSIONAL AND RELATED SERVICES.
	Percentage of the county civilian labor force employed in the
	professional and related services according to the 1980  Census.

	xxx. percentage employed in professional and related services
	     times ten (135 to 363)
	  0. high-income sample (438 cases)


B5741	ANNUAL WAGE IN MANUFACTURING.
	Determined from the 1977 Census estimates of the county's
	annual payroll in manufacturing and the number of
	manufacturing employees. 

	xxxxx. dollars (7,333 to 19,990)
 	   -9. too few manufacturing employees to calculate (404 cases)
	    0. high-income sample (438 cases)


B5742	ANNUAL WAGE IN WHOLESALE TRADE.
	Determined from the 1977 Census estimates of the county's
	annual payroll in wholesale trade and the number of employees
	in wholesale trade. 

	xxxxx. dollars (6,481 to 17,649)
	   -9. too few wholesale trade employees to calculate (82 cases)
	    0. high-income sample (438 cases)


B5743	ANNUAL WAGE IN RETAIL TRADE.
	Determined from the 1977 Census estimates of the county's
	annual payroll in retail trade and the number of employees in
	retail trade. 

	xxxx. dollars (4,242 to 8,300)
	    0. high-income sample (438 cases)


B5744	ANNUAL WAGE IN SELECTED SERVICE INDUSTRIES.
	Determined from the 1977 Census estimates of the county's
	annual payroll in the service industry and the number of
	employees in it.  Service industry includes any "for-profit"
	establishments that are subject to Federal income tax. 

	xxxxx. dollars (2,532 to 15,080)
	    0. high-income sample (438 cases)


B5745	FARM POPULATION.
	Based on the 1980 Census, this variable includes all persons
	living in rural areas of the county on farms as of April 1, 1980.

	xxxxx. persons (8 to 14309)
	    0. none, high-income sample (692 cases)


B5746	EARNINGS PER FARM POPULATION.
	Determined from B.E.A. estimates of farm earnings in
	1980. Farm earnings include the income of farm workers (wages,
	salaries, and other labor income) and farm proprietors.  Farm
	proprietors' income includes only the income of sole
	proprietorships and partnerships. 

	xxxxxx. dollars (-3,490 to 585,507)
	     0. none, high-income sample (692 cases)


                         Local Government Finances

B5747 	PER CAPITA PROPERTY TAXES.
	Based on 1977 Census data.  These are taxes conditioned on
	ownership of property and assessed by its value.

	xxx. dollars (43 to 771)
	  0. none, high-income sample (507 cases)


B5748	PER CAPITA SALES AND GROSS RECEIPTS TAX.
	Based on 1977 Census data.  These are taxes based on volume or
	value of transfers of goods and services, on gross receipts,
	or on gross income, and related taxes based on use, storage,
	production, importation or consumption of goods. 

	xxx. dollars (1 to 829)
	  0. none, high-income sample (1179 cases)


B5749	PER CAPITA GENERAL EXPENDITURES.
	Data based on 1977 Census.

	xxxx. dollars (315 to 7,176)
	   0. none, high-income sample (507 cases)

B5750	THREE DIGIT PRIMARY SAMPLING UNIT (PSU) CODE
    	1. The hundereds' digit identifies the major geographic region.
	2. The tens' digit is used in combination with the hundreds'
	   digit to uniquely identify a PSU.
	3. The digit of units' place is based on the population
	   density or degree of urbanization.

	xxx. primary sampling unit code (1 to 995)
	  0. high-income sample (438 cases)


B5751	1970 CENSUS TRACT

	xxxxxx. census tract (100 to 950500)
	    -9. unknown  (7 cases)
	     0. untracted area, high-income sample (1671 cases)


B5752	ONE DIGIT PLACE CODE.

	SMSA's
	1. Central Cities, SELF-REPRESENTING PSU's
	2. Cities of 50,000 population or more, excluding Central
	   Cities of SELF-REPRESENTING PSU's, but including Central
	   Cities of nonself-representing PSU'S, even when the city
	   has less than 50,000 population. 
	3. Census Places with populations of 10,000 through 49,999,
	   excluding Central Cities in the "thousand's" series above.
	4. Census Places 2,500 ,through 9,999.
	5. Census Tracts classified by Sampling Section as URBAN.
	6. Census Tracts classified by Sampling Section as RURAL.
	   NON-SMSA's
	7. Census Places 10,000 through 49,999
	8. Census Places 2,500 through 9,999
	9. Remainder of non-SMSA PSU
	0. high-income sample (438 cases)


B5753	FIVE DIGIT PLACE CODE.
 	The first three digits are the PSU code (B5750).  The fourth
        digit is the place code (B5752).  The fifth digit designates
        codes for individual places. 

	xxxxx. code (100 to 99550)
	    0. high-income sample (438 cases)


APPENDIX
Listings of 1970 and 1980 Census Occupation and Industry Classification Codes
(see appendix)