Variable Dictionary

Each variable includes a short metadata table (type, number of distinct values, and a definition).

  • Categorical variables show a full Value → Count table.
  • Numeric variables show a statistics table: min, q25, median, q75, max, mean, std.

ISCO-08

AttributeValue
TypeNumeric
Distinct values53
DefinitionISCO‑08 2‑digit occupational code (sub‑major group).

ISCO-08 codes can be seen at Annex — ISCO-08 Sub-Major Groups

ISCO-08_Title

AttributeValue
TypeCategorical
Distinct values53
DefinitionISCO‑08 2‑digit sub-major group title corresponding to ISCO-08
ValueCount
Business and Administration Associate Professionals41742
Sales Workers36690
Teaching Professionals35640
Business and Administration Professionals28658
Personal Services Workers28465
General and Keyboard Clerks25715
Science and Engineering Professionals21667
Legal, Social and Cultural Professionals20331
Science and Engineering Associate Professionals20067
Personal Care Workers19837
Drivers and Mobile Plant Operators18757
Health Professionals18685
Cleaners and Helpers18385
Numerical and Material Recording Clerks17566
Building and Related Trades Workers (excluding Electricians)17145
Metal, Machinery and Related Trades Workers16115
Market-oriented Skilled Agricultural Workers16010
Health Associate Professionals15355
Information and Communications Technology Professionals15137
Labourers in Mining, Construction, Manufacturing and Transport14917
Stationary Plant and Machine Operators12762
Production and Specialized Services Managers12591
Food Processing, Woodworking, Garment and Other Craft and Related Trades Workers11430
Legal, Social, Cultural and Related Associate Professionals11207
Customer Services Clerks11120
Administrative and Commercial Managers9425
Protective Services Workers8918
Electrical and Electronics Trades Workers7845
Hospitality, Retail and Other Services Managers7675
Refuse Workers and Other Elementary Workers7421
Information and Communications Technicians6803
Chief Executives, Senior Officials and Legislators6508
Agricultural, Forestry and Fishery Labourers6217
Other Clerical Support Workers5536
Assemblers5272
Food Preparation Assistants4880
Handicraft and Printing Workers3626
Armed Forces Occupations, Other Ranks1608
Market-oriented Skilled Forestry, Fishery and Hunting Workers1393
Non-commissioned Armed Forces Officers1182
Commissioned Armed Forces Officers924
Street and Related Sales and Services Workers462
Professionals351
Technicians and Associate Professionals313
Armed Forces Occupations159
Managers115
Elementary Occupations74
Subsistence Farmers, Fishers, Hunters and Gatherers53
Craft and Related Trades Workers23
Clerical Support Workers17
Services And Sales Workers4
Plant and Machine Operators and Assemblers3
Skilled Agricultural, Forestry and Fishery Workers1

ORIGIN

AttributeValue
TypeCategorical
Distinct values2
DefinitionNational or Foreigner, derived from the parents’ countries (National if both parents are the survey country; Foreigner otherwise).
ValueCount
National496203
Foreigner96599

COUNTRY

AttributeValue
TypeCategorical
Distinct values24
DefinitionCountry of survey (SCL GEO apha-2 code) used as the geographical unit for aggregation.
ValueCount
IT98567
DE74795
AT50969
PL43291
HU36343
CH30287
SE27958
RO27870
ES25348
DK24627
FR24418
SI15903
PT15585
LT15503
BE12444
HR9877
CY9602
FI8851
BG8247
EL7587
EE7536
LU7181
NO6045
LV3968

SEX

AttributeValue
TypeCategorical
Distinct values2
DefinitionSex of the respondent (Male/Female).
ValueCount
Male302364
Female290438

AGE

AttributeValue
TypeNumeric
Distinct values75
DefinitionAge in completed years at reference time.
min15
q2534
median44
q7554
max89
mean43.9
std13.05

AGE_GROUPS

AttributeValue
TypeCategorical
Distinct values6
DefinitionStandard age bands (14–19, 20–29, 30–39, 40–49, 50–59, 60+) derived from AGE in AES and LFS; SES already provided in these bins.
ValueCount
14-1911780
20-29148253
30-39145618
40-49127170
50-5986275
60+73706

HATLEVEL

AttributeValue
TypeCategorical
Distinct values5
DefinitionHighest level of education grouped to G1–G4. See Annex HATLEVEL for ISCED mapping.
ValueCount
Group 185405
Group 2268426
Group 3116617
Group 4122454

LOCSIZEFIRM

AttributeValue
TypeCategorical
Distinct values3
DefinitionSize of the employing local unit by number of employees.
ValueCount
1_49199312
50_249124146
GE_250100466

FTPT

AttributeValue
TypeCategorical
Distinct values2
DefinitionWorking time — Full‑time or Part‑time.
ValueCount
Full-time job469272
Part-time job123530

EMPSTAT

AttributeValue
TypeCategorical
Distinct values1
DefinitionEmployment status.
ValueCount
Employed592802

ILOSTAT

AttributeValue
TypeCategorical
Distinct values1
DefinitionILO employment status.
ValueCount
Employed592802

TEMP

AttributeValue
TypeCategorical
Distinct values3
DefinitionContract type — Permanent, Fixed‑term, or Not applicable.
ValueCount
Permanent job423533
Not applicable91506
Fixed-term job77763

TEMPDUR

AttributeValue
TypeCategorical
Distinct values9
DefinitionDuration band for fixed‑term contracts; “Not applicable” for permanent jobs.
ValueCount
Not applicable515039
< 1 month2919
1 – 3 month6670
3 – 6 month11674
6 – 12 month22197
12 – 18 month13928
18 – 24 month3392
24 – 36 month5519
> 36 month11464

N_instances

AttributeValue
TypeNumeric
Distinct values286
DefinitionNumber of source‑identical rows collapsed into this merged record.
min1
q251
median1
q751
max2200
mean2.08
std16.79

CITIZENSHIP

AttributeValue
TypeCategorical
Distinct values41
DefinitionCitizenship code — country codes plus supra‑national/grouping labels (e.g., EU27_2020, EFTA) and world‑region aggregates. See Appendix COUNTRY for legend.
ValueCount
IT85809
DE64159
PL42508
AT40406
HU35995
EU27_202029217
SE27829
RO27781
ES23541
DK22992
FR22882
CH20466
SI15619
LT15181
PT14870
BE12153
EUR_NEU27_2020_NEFTA11428
HR9821
FI8553
BG8232
EE7426
EL7248
CY7245
NO5999
ASI_SSE4155
LU4124
LV3578
AFR_OTH2320
AFR_N2282
AME_S2276
ASI_NME2018
EUR_NEU27_20201638
ASI_E1318
AME_C_CRB562
AME_N414
EFTA376
AME_LAT142
ASI_ESSE98
OCE81
AME_N_OCE32
AFR_N_ASI_NME28

COUNTRY_FATHER

AttributeValue
TypeCategorical
Distinct values42
DefinitionFather’s country (country codes and regional groupings. See Appendix COUNTRY for legend.); “NOT APPLICABLE” where unavailable.
ValueCount
IT80369
DE49248
EU27_202045991
PL41847
AT34369
HU34363
RO27666
EUR_NEU27_2020_NEFTA25861
SE24096
ES22000
DK21336
FR19712
CH15299
SI14288
LT14187
PT14019
BE10697
HR8372
FI8226
BG8210
EE7354
EL7002
CY6662
ASI_SSE6288
ASI_NME5826
NO5817
AFR_N5789
EUR_NEU27_20205013
AFR_OTH4747
AME_S4719
LV3041
LU2377
NOT APPLICABLE1782
ASI_E1690
AME_C_CRB1125
EFTA817
AME_N792
AFR_N_ASI_NME773
AME_LAT448
ASI_ESSE344
AME_N_OCE122
OCE118

COUNTRY_MOTHER

AttributeValue
TypeCategorical
Distinct values42
DefinitionMother’s country (country codes and regional groupings. See Appendix COUNTRY for legend.); “NOT APPLICABLE” where unavailable.
ValueCount
IT79223
DE50020
EU27_202046729
PL41898
HU34325
AT34143
RO27678
EUR_NEU27_2020_NEFTA25664
SE24016
ES21941
DK21443
FR19967
CH15162
SI14538
LT14252
PT13913
BE10720
HR8314
FI8282
BG8205
EE7370
EL6958
CY6574
ASI_SSE6435
NO5769
ASI_NME5481
AFR_N5359
AME_S5150
AFR_OTH4843
EUR_NEU27_20204811
LV3050
LU2388
NOT APPLICABLE1782
ASI_E1768
AME_C_CRB1220
EFTA989
AFR_N_ASI_NME681
AME_N621
AME_LAT461
ASI_ESSE416
OCE167
AME_N_OCE76

HATFIELD

AttributeValue
TypeCategorical
Distinct values11
DefinitionField of the highest level of education successfully completed.
ValueCount
Services126950
Engineering, manufacturing and construction118774
Business, administration and law104808
Generic programmes and qualifications59030
Health and welfare46436
Arts and humanities30117
Social sciences, journalism and information29142
Education26679
Agriculture, forestry, fisheries and veterinary18545
Natural sciences, mathematics and statistics16401
Information and Communication technologies (ICTs)15920

MAINSTAT

AttributeValue
TypeCategorical
Distinct values8
DefinitionSelf‑defined main activity status at reference time.
ValueCount
Employed545063
Student, pupil14764
Other11595
Retired9582
Fulfilling domestic tasks6780
Unemployed2865
Unable to work due to long-standing health problems2051
Compulsory military or civilian service102

JOBSTAT

AttributeValue
TypeCategorical
Distinct values3
DefinitionStatus in employment — Employee, Self‑employed, or Family worker (unpaid).
ValueCount
Employee501296
Self-employed person84710
Family worker (unpaid)6796

COUNTRY_BIRTH

AttributeValue
TypeCategorical
Distinct values41
DefinitionCountry of birth (country codes and regional groupings. See Annex COUNTRY for legend).
ValueCount
IT78810
DE57996
PL42394
AT37822
EU27_202035207
HU34848
RO27750
SE26740
DK22045
ES21555
FR21544
CH19006
EUR_NEU27_2020_NEFTA18889
SI15395
LT14728
PT12835
BE11822
HR8812
FI8234
BG8208
EE7455
EL6937
CY6530
NO5935
ASI_SSE5589
AME_S5425
ASI_NME5203
AFR_OTH4769
AFR_N3933
LV3569
LU3276
EUR_NEU27_20202865
ASI_E1688
EFTA1517
AME_C_CRB1130
AME_N1045
AFR_N_ASI_NME443
AME_LAT318
OCE250
ASI_ESSE205
AME_N_OCE80

NUMJOB

AttributeValue
TypeCategorical
Distinct values3
DefinitionNumber of simultaneous jobs held by the respondent.
ValueCount
Only one job557744
Two jobs31234
Three jobs or more3824

HOMEWORK

AttributeValue
TypeCategorical
Distinct values3
DefinitionFrequency of working from home (mainly/sometimes/never).
ValueCount
Never works at home443427
Sometimes works at home91707
Mainly works at home57668

ANNUAL_EARNINGS_mean

AttributeValue
TypeNumeric
Distinct values13615
DefinitionMean of annual earnings within each merge key (EUR).
min0
q253408.39
median15849.85
q7534519.67
max1181303.7
mean31727.33
std64994.60

ANNUAL_EARNINGS_median

AttributeValue
TypeNumeric
Distinct values13403
DefinitionMedian of annual earnings within each merge key (EUR).
min0
q253076.92
median14655.34
q7533060.0
max952450.0
mean30117.61
std64704.44

ANNUAL_EARNINGS_std

AttributeValue
TypeNumeric
Distinct values13265
DefinitionStandard deviation of annual earnings within each merge key (EUR).
min0
q251509.81
median7408.08
q7514391.59
max876322.59
mean16215.96
std36121.17

ANNUAL_EARNINGS_min

AttributeValue
TypeNumeric
Distinct values10844
DefinitionMinimum observed annual earnings within each merge key (EUR).
min0
q25125.12
median1213.33
q753229.33
max277338.0
mean2663.25
std5291.52

ANNUAL_EARNINGS_max

AttributeValue
TypeNumeric
Distinct values13117
DefinitionMaximum observed annual earnings within each merge key (EUR).
min0
q258911.58
median57076.67
q75143398.0
max7097938.0
mean158823.09
std349759.03

MONTHLY_EARNINGS_mean

AttributeValue
TypeNumeric
Distinct values13265
DefinitionMean of monthly earnings within each merge key (EUR).
min0
q25317.1
median1331.02
q752821.71
max98206.91
mean2832.45
std6348.97

MONTHLY_EARNINGS_median

AttributeValue
TypeNumeric
Distinct values11101
DefinitionMedian of monthly earnings within each merge key (EUR).
min0
q25283.01
median1202.19
q752665.01
max80325.0
mean2655.01
std6059.04

MONTHLY_EARNINGS_std

AttributeValue
TypeNumeric
Distinct values12639
DefinitionStandard deviation of monthly earnings within each merge key (EUR).
min0
q25102.77
median511.63
q751046.37
max67526.72
mean1092.68
std2293.62

MONTHLY_EARNINGS_min

AttributeValue
TypeNumeric
Distinct values6519
DefinitionMinimum observed monthly earnings within each merge key (EUR).
min0
q2528.0
median393.43
q75803.0
max28576.0
mean868.17
std2171.33

MONTHLY_EARNINGS_max

AttributeValue
TypeNumeric
Distinct values12026
DefinitionMaximum observed monthly earnings within each merge key (EUR).
min0
q25752.63
median4677.0
q7511107.25
max582295.0
mean12358.89
std26298.01

HOURLY_EARNINGS_mean

AttributeValue
TypeNumeric
Distinct values4277
DefinitionMean of hourly earnings within each merge key (EUR).
min0
q251.89
median9.84
q7518.16
max777.64
mean19.63
std44.87

HOURLY_EARNINGS_median

AttributeValue
TypeNumeric
Distinct values4085
DefinitionMedian of hourly earnings within each merge key (EUR).
min0
q251.67
median9.03
q7517.13
max781.88
mean18.43
std42.68

HOURLY_EARNINGS_std

AttributeValue
TypeNumeric
Distinct values2752
DefinitionStandard deviation of hourly earnings within each merge key (EUR).
min0
q250.57
median3.01
q756.38
max643.33
mean6.95
std15.83

HOURLY_EARNINGS_min

AttributeValue
TypeNumeric
Distinct values2664
DefinitionMinimum observed hourly earnings within each merge key (EUR).
min0
q250.63
median2.68
q756.71
max213.64
mean6.99
std16.21

HOURLY_EARNINGS_max

AttributeValue
TypeNumeric
Distinct values6914
DefinitionMaximum observed hourly earnings within each merge key (EUR).
min0
q254.88
median30.0
q7571.77
max20305.01
mean97.67
std399.81
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