README FILE FOR SWEDEN 1991
(World 5.5 – Release 2)
December 16th, 2004
CONTENTS:




Technical description of the survey
Information on the original files
Time-use variables
Variable-specific information
TECHNICAL DESCRIPTION OF THE SURVEY
See also: http://www.timeuse.org/information/studies/data/sweden-1990-91.php
Age range
Response rate
Number of diary days
Survey period
Multi-member household survey
Type of diary
Mode of data collection
Time interval in the diary
Data on secondary activities
Data on where the activity was carried out
Data on who else was present
Number of activity codes
Number of cases in the original file
Number of ‘good’ diaries in the World5.5 file
20-65
75%
2-day
September, 1990 to June, 1991
No
Fresh
Self-completed diary
Free
Yes
Yes
Yes
108
7,187
7,065
INFORMATION ON THE ORIGINAL FILES
There are 3 original files for Sweden 1991:
swedday1.sav, swedday2.sav are the original episode, corresponding to the
first and second diary days.
SweDemo.sav, the summary file, contains demographic information for the
respondents.
TIME-USE VARIABLES
Activity Variable Documentation for Sweden, 1991
MTUS
Variable Label
Variable Name
AV1
Formal work
AV2
AV3
AV4
AV5
Paid work at home
Second job
School/classes
Travel to/from work
AV6
Cooking/washing up
AV7
Housework
AV8
Odd jobs
AV9
AV10
Gardening
Shopping
AV11
Child care
Sweden, 1991
Compiled from original activity (AV) variables...
1111 Overtime
1112 Normal work
1211 Meals at work
1230 Other time at workplace
1999 Work unspecified
None
1150 Second job
4111 Education: in class
110 Journeys to/from work
140 Journeys re: education
2110 Food preparation, set table
2111 Baking bread
2115 Food preservation/production
2140 Wash dishes, clean table
2150 House cleaning
2160 Laundry, ironing
2261 Other household work
2611 Other household work
2661 Other household work
2170 Make/mend clothes
2180 Heating, water
2220 Walking the dog
2230 Other pet care
2240 Construct, etc. building
2241 Maintain building equipment
2250 Vehicle maintenance
2260 Other repair/maintenance
2298 Unspecified maintenance
2410 Help to adults in household
2421 Other help to other household
2499 2410 or 2420 or 2421 or 2430
2210 Gardening
2510 Buy groceries
2520 Buy other goods
2550 Public agencies
2561 Other unspecified errands
2310 Ordinary care of children
2320 Help with homework
2330 Play with children
2340 Talk with children
2350 Read aloud with children
AV12
Domestic travel
AV13
Dressing/toilet
AV14
Receiving Personal
services
Meals/snacks
AV15
AV16
AV17
AV18
AV19
AV20
AV21
AV22
AV23
AV24
AV25
AV26
AV27
AV28
AV29
AV30
AV31
AV32
AV33
2370 Present at children's activities
2381 Other child care
2420 Help other children in household
120 Journeys re: household work
130 Journeys re: personal needs
3140 Personal hygiene
3151 Sauna solarium
3171 Other personal care
2540 Medical care outside of home
3210 Meals
3220 Snacks
Sleep/naps
3110 Nighttime sleep
3120 Nap
3130 Ill in bed
Leisure travel
1040 Travel time in long journey
5090 Journeys re: free time
5181 Car tour
6001 Unspecified journeys
Excursions, trips
5340 Library (for pleasure)
Playing sport
5130 Hunting
5131 Fishing
5140 Outdoor sports
5150 Indoor sports
5183 Other outdoor life
Watching sport
5310 Spectator events
Walks
5111 Other walks
5112 Walking around
At church
5222 Religious organizations
Civic organizations
2360 Parents meeting
5221 Non-religious organizations
Cinema/theatre
5320 Cinema
5330 Theatre/concert/museum
Dance/party, etc.
5351 Other entertainment
5410 Party
5470 Dancing, disco
5480 Social games
5482 Other social events
Social clubs
None
Pubs
None
Restaurants
5460 Restaurant, bar
Visiting friends
2430 Visit patient in hospital
5420 Visiting friends, relatives
Listening to radio
5530 Radio
Watching T.V.
5522 TV, VCR
Listening to music, etc. 5770 Listen to tapes, etc.
Study
4120 Homework
4210 Study circle
AV34
AV35
Reading books
Reading
papers/magazines
AV36
Relaxing
AV37
Conversation
AV38
AV39
Entertaining friends
Knitting/sewing
AV40
Pastimes/hobbies
AV41
Unknown activity
4220 Read
5630 Books (fiction)
5610 Newspapers
5620 Weekly magazines
5641 Other reading
5810 Relaxing, thinking
5850 Other/unspecified free time
5440 Conversation
5450 Telephone
5430 Receiving visits
5710 Knitting
5730 Other needlework
5740 Computer
5742 Technical hobbies, collections
5750 Solitary games
5760 Hazard games
5780 Making music
5784 Other hobbies
6112 Keeping diary
2199 Unknown
4999 Unknown
5599 Unknown
6121 Missing/unspecified activity
Note:
 The original dataset contains more activity variables than what is used to
code the 41 MTUS activity codes. This is because several variables have
sub-variables which break down more specifically, and therefore are not
coded additionally.
 AV2360 (parents meeting) has been coded in the MTUS AV23 given that
it does not involve time spent with the children.
VARIABLE-SPECIFIC INFORMATION
 SURVEY
The Swedish survey was conducted from September 1990 to June 1991.
The variable SURVEY however takes the value ‘1991’ and therefore does
not follow the labeling convention of using the first year of a multi-year
survey.
 ID
ID was created from NEWID. NEWID was created in the construction of
the working original survey file. It was created by multiplying the original
diary number (ABNR) by 100,000, and then adding the original personal
ID (UBNR).
 DAY
The unweighted distribution of DAY is very unequal because all of the
respondents appeared to have filled out a diary on a Saturday or Sunday,
and on a weekday.
 MONTH
MONTH was computed using information on the date the diary was
completed. The date was provided in Julian format, with the year (90 or
91) followed by the number of the calendar day (i.e. 90001 is 1st January
1990; 91365 is 31 December 1991). Given that there were two diary days
for Sweden, a month variable had to be computed for both diary days
(MON1 and MON2). MONTH was created by establishing whether it was
the first or second diary day (DBNR=1 or 2) and making MONTH equal to
the appropriate MON variable.
 AGE2
Given that the Swedish survey was conducted from September 1990 to
May 1991, and that each respondent filled out a diary on two separate
days (which became unique cases in the original dataset), AGE2 had to
be computed taking the date of the diary into account. In the original
dataset, the date of the diary was distinguished by two separate variables,
DAT1 and DAT2, which were ultimately used to calculate the age of the
respondent on the date that they filled out their diary. Since these
variables appeared in Julian format (YYDDD), the year (1990 or 1991) had
to be separated using the ID variable NEWID), which was less than
2000000 for first day diaries and greater than or equal to 2000000 for
second day diaries. A new variable (TEMPDAT) was computed which
combined DAT1 and DAT2 according to first or second diary day. If
TEMPDAT was less than 91000, the diary year (DIYR) was equal to 90
(for the year 1990). If TEMPDAT was greater or equal to 91000, the diary
year (DIYR) was equal to 91 (for the year 1991). AGE2 was computed by
subtracting year of birth from diary year. This procedure created a more
accurate age variable in World 5.5 in that it took diary year into account.
AGE2 is still somewhat inaccurate given that the respondent’s actual birthdate was unknown.
 CIVSTAT
Unlike other surveys, Sweden 1991 does not have a distinct question on
marital status. There is only one question on the presence and gender of
the spouse.
 FAMSTAT
FAMSTAT=1 corresponds to adults with children aged <7 instead of <5.
FAMSTAT=2 corresponds to adults with children aged 7-17 instead of 517.
There are no values for FAMSTAT=4 since there were no respondents
under the age of 18.
 CPHOME
There is no value “1” for the original “REL” variables.
The “REL” variables refer to the relationship of each household member to
the respondent. That is why REL=3 (parent of respondent) is used to
compute CPHOME.
REL7-REL12 had no cases coded as “4” (parent of respondent).
Therefore, they were not used in the computation of CPHOME.
 HHTYPE
HHTYPE was computed using MSSEX (the best variable in the dataset for
computing marital status) and the “REL” variables. Each REL variable
represents the persons in the household other than the respondent and
his or her spouse.
 HHLDSIZE
For other surveys, HHLDSIZE was created using original household size
variables, or by combining the number of adults and number of children
variables. There were no such variables in the original Sweden 1991
dataset. Each “REL” variable represents one household member in
addition to the respondent and his/her possible spouse. Thus, when a
“REL” variable was not missing or 0, it was given the value “1” denoting “1
person” (i.e. a child, a parent, another relative, etc). The variable MMSEX
(sex of spouse) was used to establish if the respondent was married or not
married (if there were two household members other than those dictated
by the “REL” variables, or just the respondent). If the respondent was
married (MMSEX=1 or 2), it was assumed that there were 2 people in
addition to the number of household members established by the “REL”
variables. If the respondent was not married (MMSEX=0) it was assumed
that there was only 1 person in addition to any potential others in the
household.
 AGEKID
AGEKID=1 represents children age 0-6 instead of 0-4.
AGEKID=2 represents children age 7-12 instead of 5-12.
 EMPSTAT3
Respondents who are self-employed, farmers, and in the military were
coded as EMPSTAT3=3 (‘Employed, unknown status’).
 RETIRED
SYSSUP=11 (pension, permanent sick leave) is not restricted to
pensioners, but also include respondents who are on permanent sick
leave.
 INCORIG
Two original variables “INKPER” and “INKR” were used to create
INCORIG. It was created by multiplying income by the appropriate number
specified in the INKPER variable. More specifically, if INKPER=0’no
income’ or 1 ‘income per year’ INCORIG was computed from INKR. If
INKPER=2 ‘income per month’, INCORIG was equal to INKR*12. If
INKPER=3 ‘income per week’, INCORIG was equal to INKR*52. If
INKPER=4 ‘income per hour’, INCORIG was equal to
(INKR*ARBTIMUP)*52. ARBTIMUP is the hours worked normally.
 INCOME
There may be a slight overestimation with those who recorded income per
hour as it may not reflect the number of hours worked all year. As
relatively few people recorded their income this way, it should not be too
much of a problem.
 EDUCA
The original variable ‘UTBUP’ was used to create EDUCA. The value
labels for EDUCA are as follows:
1 'compulsory school'
2 '1-2 years secondary'
3 '3-4 years secondary'
4 'higher ed university'
5 'higher ed arranged by employer'
The original value 9 has no value label therefore, it has been recoded to
equal -8 ‘Non-response’.
 EDTRY
EDTRY ISCED
VAR
1
No completed high school
= level 0,1,2
or Level 3 (upper sec. Educ) not
completed
2
Level 3 completed
(upper secondary educ)
or Attendance at Level 4
(post-secondary non-tertiary)
3
Attendance at Level 5
and above (even if no degree
obtained)
SWE91
UPBUP
 1 'compulsory school'


2 '1-2 years secondary'
3 '3-4 years secondary'


4 'higher ed university'
5 'higher ed arranged by
employer'
Note that the coding of EDTRY likely overestimated category ‘1’ and
underestimated category ‘2’.