Vsaka raziskovalna organizacija krije svoje stroške raziskave. Skupnega financiranja ni.
no information
Mednarodna družboslovna anketa (ISSP) je kontinuiran program mednarodnega sodelovanja v letnih anketah, ki pokrivajo pomembne teme za družboslovno znanstveno raziskovanje. Združuje že obstoječe družbeno-znanstvene projekte in usklajuje raziskovalne cilje ter tako dodaja posameznim nacionalnim raziskavam mednarodni in medkulturni vidik. Vsaka raziskava vsebuje vprašanja o odnosu posameznika do različnih družbenih tem kot so pravni sistem, spol in gospodarstvo. Poglobljeno obravnavane teme zajemajo okolje, vlogo vlade, družbeno neenakost, socialno podporo, vlogo družine in spola, delovno usmeritev, vpliv religije, vedenja in verovanj na družbene in politične preference, ter nacionalno identiteto. Sodelujoče države so različne od enega do drugega tematskega modula. Prva raziskava je bila izvedena v letih 1985/86 v šestih državah, danes pa ima ISSP 40 držav članic po vsem svetu.
pogostost aktivnosti v prostem času, omogočanje prostočasnih aktivnosti, uživanje v prosto časnih aktivnostih, različnost aktivnosti v prostem času, počutje v prostem času, druženje v prostem času, želja porabljenega časa za določene stvari, število noči preživetih stran od doma, število dni preživetih stran od doma, najpogostejši šport/fizična aktivnost, najpogosteje igrana igra, razlogi za šport/igre, gledanje športa na televiziji, ponosnost na državne športnike, mnenja o športu, pogostost udeležbe v raznih združenjih, zaupanje ljudem, zanimanje za politiko, preprečevanje delovanja aktivnosti v prostem času, ocenjevanje lastnega veselja, zdravje, družbeni razred, politična pripadnost, politični podpornik, volilna udeležba
Keywords ELSST:
PROSTOČASNA DEJAVNOST, PROSTI ČAS, UKVARJANJE S ŠPORTOM, TELESNA AKTIVNOST, DRUŽABNA AKTIVNOST, ZAUPANJE, ZADOVOLJSTVO, DRUŽBENE VREDNOTE, IDENTITETA
Topic Classification CESSDA
DRUŽBA IN KULTURA - poraba časa
DRUŽBA IN KULTURA - prosti čas, turizem in šport
POLITIKA
Topic Classification CERIF
Sociologija
Mednarodna družboslovna anketa (ISSP) je kontinuiran program mednarodnega sodelovanja. Skupina, razvija različne raziskovalne module, ki se dotikajo pomembnih družbenih vprašanj in katerih namen je dodati medkulturno perspektivo. Prosti čas: aktivnosti in zadovoljstvo. Pomen časa in prostega časa v njuni medsebojni povezanosti z delom in drugimi področji življenja - šport/zabavne dejavnosti, sociološki vidiki športa, socialna in politična sodelovanja. Študija zajema teme: Pogostost prostočasne dejavnosti v anketirančevem prostem času; glavni namen aktivnosti v prostem času; motiviranje za prostočasne dejavnosti; občuteka dolgčasa, občutek hitenja; želje; preference za delitev časa z drugimi ljudmi ali pa biti sam; aktivnosti izven doma; dopust; telesne aktivnosti; udeležba na športnih ali zabavnih dogodkih; socialne in politične udeležbe; politični interes; ocena osebnega zdravja; gledanje športa na televiziji; odnos do športa (merila); zaupanje v ljudi; razlog za odmikanje od prostočasnih dejavnosti; zaznavanje sreče.
| Collection date: | Zbiranje podatkov v sodelujočih državah je potekalo od 1. oktobra 2006 - do 8. julija 2008., Zbiranje podatkov na terenu je potekalo: Australija: 11. julij 2007 - 21. november 2007;, Čile: 09. junij 2007 - 27. junij 2007;, Češka: 13. junij 2007 - 27. junij 2007;, Dominikanska Republika: 11. november 2007 - 30. november 2007;, Finska: 18. september 2007 - 11. december 2007;, Flamska (Belgija): 07. marec 2007 - 09. julij 2007;, Francija: september 2007 - december 2007 ;, Hrvaška: 01. oktober 2006 - 30. november 2006;, Izrael: 15. marec 2007 - 15. avgust 2007;, Japonska: 17. november 2007 - 25. november 2007;, Latvija: 29. maj 2007 - 19. junij 2007;, Mehika: 26. junij 2008 - 08. julij 2008;, Nova Zelandija: 15. oktober 2007 - 21. december 2007;, Norveška: 21. februar 2007 - 25. april 2007;, Filipini: 30. marec 2008 - 02. april 2008;;, Polska: 06. februar 2008 - 25. februar 2008;, Rusija: 01. september 2007 - 20. september 2007;, Slovenija: oktober 2006 - november 2006;, Južna Afrika: 15. oktober 2007 - 30. november 2007;, Južna Koreja: 24. junij 2007 - 31. avgust 2007;, Švedska: februar 2007 - 24. april 2007;, Švica: 08. februar 2007 - 14. avgust 2007;, Tajvan: 15. julij 2007 - 25. september 2007;, Urugvaj: 01. november 2007 - 28. februar 2008;. |
|---|---|
| Date of production: | 2007 |
| Country: | Australija, Čile, Hrvaška, Češka, Dominikanska Republika, Finska, Flandrija (Belgija), Francija, Izrael, Japonska, Latvija, Mehika, Nova Zelandija, Norveška, Filipini, Polska, Rusija, Slovenija, Južna Afrika, Južna Koreja, Švedska, Švica, Tajvan, Urugvaj |
| Geographic coverage: |
Teritorij naštetih držav |
| Unit of analysis: |
posameznik |
| Universe: |
V splošnem gre za prebivalce države stare 18 let in več (Finska 15 let in več, Južna Afrika 16 let in več, Japonska 16 let in več ter Rusija 16 let in več), kjer je bila izvedena anketa. Za več informacij glej povezavo: http://info1.za.gesis.org/dbksearch13/download.asp?id=14950 |
| Excluded: | no information |
| Data collected by: |
AU - Deakin Computer Assisted Research Facility; FLA - Significant GfK, Heverlee; CL - ICCOM, Santiago; HR - Institute for Social Research Zagreb; CZ - GfK, Prague; DO - Asisa Research Group (ARG); FI - Statistics Finland, Helsinki; FR - FRANCE-ISSP Association Laboratoire de Sociologie Quantitative, Malakoff; IL - B.I. and Lucille Cohen Institute for Public Opinion Research; JP - Central Research Services, Tokyo; LV - Institute of Philosophy and Sociology, University of Latvia, Riga; MX - Instituto de Mercadotecnia y Opinión (IMO); NZ - Massey University, Department of Marketing; NO - TNS Gallup, Oslo; PH - Social Weather Stations, Quezon City; PL - Public Opinion Research Center (CBOS); RU - Levada-Center, Moscow; SI - Public Opinion and Mass Communication Research Centre, Ljubljana; ZA - Human Sciences Research Council (HSRC); KR - Survey Research Center, Sungkyunkwan University, Seoul; SE - SIFO Research and Consulting, Stockholm; CH - MIS Trend, Institut pour l'étude des marchés et les sondages d'opinion, Lausanne; TW - Center of Survey Research, Academia Sinica; US - National Opinion Research Center (NORC); UY - Department of Economics - Faculty of Social Sciences, University of Uruguay, Montevideo; drugo - ni v poročilu. |
| Sampling procedure: |
Vzorčenje se razlikuje glede na posamezne države: deloma enostaven, deloma večstopenjski stratificiran naključni vzorec. Podrobnosti na: http://info1.za.gesis.org/dbksearch13/download.asp?id=14950 |
| Mode of data collection: |
Osebni intervju, poštna anketa in samo-anketiranje s standardiziranim vprašalnikom (odvisno od posamezne države). |
| Weighting: |
Da (CH, CL, CZ, FI, BE (FLA), FR, PH, PL, RU, TW, UY, ZA). Za podrobnosti o uteževanju glej: http://info1.za.gesis.org/dbksearch13/download.asp?id=14950 |
Več o omejitvah dostopa in pogojih uporabe na naslovu: http://www.gesis.org/en/services/data/retrieval-data-access/data-archive-service/usage-regulations/.
Več o pravilnem navajanju podatkov na naslovu: http://www.gesis.org/en/services/data/retrieval-data-access/data-archive-service/usage-regulations/.
Več o uporabnikovi odgovornosti obveščanja arhiva o uporabi podatkov in objavi del na naslovu: http://www.gesis.org/en/services/data/retrieval-data-access/data-archive-service/usage-regulations/.
Title of Data file: ISSP07 - ISSP: Leisure Time and Sports I [ZA4850] [datoteka podatkov], 2009
Format: OSTALO
v1 Study Number
| Value 13 | Frequency | |
|---|---|---|
| 4850 | ZA4850 | 36680 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36680 | 0 |
Valid range from 4850 to 4850
v2 Edition of the data file
| Value 22 | Frequency | |
|---|---|---|
| 1 | 1 | 36680 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36680 | 0 |
Valid range from 1 to 1
v3 Respondent ID Number
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36680 | 0 |
Valid range from 1 to 981757
v1 Study Number
| Value 1246 | Frequency | |
|---|---|---|
| 4850 | ZA4850 | 36680 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36680 | 0 |
Valid range from 4850 to 4850
v2 Edition of the data file
| Value 2245 | Frequency | |
|---|---|---|
| 1 | 1 | 36680 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36680 | 0 |
Valid range from 1 to 1
v3 Respondent ID Number
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36680 | 0 |
Valid range from 1 to 981757
v4 Country/Sample (see V5 for codes for whole nation states)
| Value 4243 | Frequency | |
|---|---|---|
| 36 | AU-Australia | 2769 |
| 56 | FLA-Flanders | 1257 |
| 152 | CL-Chile | 1505 |
| 158 | TW-Taiwan | 2147 |
| 191 | HR-Croatia | 1200 |
| 203 | CZ-Czech Republic | 1222 |
| 214 | DO-Dominican Republic | 2164 |
| 246 | FI-Finland | 1354 |
| 250 | FR-France | 2061 |
| 376 | IL-Israel | 1345 |
| 392 | JP-Japan | 1253 |
| 410 | KR-South Korea | 1431 |
| 428 | LV-Latvia | 1069 |
| 484 | MX-Mexico | 1607 |
| 554 | NZ-New Zealand | 996 |
| 578 | NO-Norway | 1143 |
| 608 | PH-Philippines | 1200 |
| 616 | PL-Poland | 1293 |
| 643 | RU-Russia | 2005 |
| 705 | SI-Slovenia | 1003 |
| 710 | ZA-South Africa | 2907 |
| 752 | SE-Sweden | 1309 |
| 756 | CH-Switzerland | 1003 |
| 858 | UY-Uruguay | 1437 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36680 | 0 |
Valid range from 36 to 858
v5 Country (see V4 for codes for the sample)
| Value 5242 | Frequency | |
|---|---|---|
| 36 | AU-Australia | 2769 |
| 56 | FLA-Flanders | 1257 |
| 152 | CL-Chile | 1505 |
| 158 | TW-Taiwan | 2147 |
| 191 | HR-Croatia | 1200 |
| 203 | CZ-Czech Republic | 1222 |
| 214 | DO-Dominican Republic | 2164 |
| 246 | FI-Finland | 1354 |
| 250 | FR-France | 2061 |
| 376 | IL-Israel | 1345 |
| 392 | JP-Japan | 1253 |
| 410 | KR-South Korea | 1431 |
| 428 | LV-Latvia | 1069 |
| 484 | MX-Mexico | 1607 |
| 554 | NZ-New Zealand | 996 |
| 578 | NO-Norway | 1143 |
| 608 | PH-Philippines | 1200 |
| 616 | PL-Poland | 1293 |
| 643 | RU-Russia | 2005 |
| 705 | SI-Slovenia | 1003 |
| 710 | ZA-South Africa | 2907 |
| 752 | SE-Sweden | 1309 |
| 756 | CH-Switzerland | 1003 |
| 858 | UY-Uruguay | 1437 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36680 | 0 |
Valid range from 36 to 858
v6 Q1a Frequency of activities in free time: Watch TV
| Value 6241 | Frequency | |
|---|---|---|
| 1 | Daily | 25230 |
| 2 | Several times a week | 6835 |
| 3 | Several times a month | 2068 |
| 4 | Several times a year or less often | 1003 |
| 5 | Never | 1272 |
| 8 | Can´t choose | 10 |
| 9 | NA | 262 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36408 | 272 |
Valid range from 1 to 5
v7 Q1b Frequency of free time activities: Go to movies
| Value 7240 | Frequency | |
|---|---|---|
| 1 | Daily | 147 |
| 2 | Several times a week | 590 |
| 3 | Several times a month | 3359 |
| 4 | Several times a year or less often | 15243 |
| 5 | Never | 16650 |
| 8 | Can´t choose | 253 |
| 9 | NA | 438 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35989 | 691 |
Valid range from 1 to 5
v8 Q1c Frequency of free time activities: Go out shopping
| Value 8239 | Frequency | |
|---|---|---|
| 1 | Daily | 1293 |
| 2 | Several times a week | 5256 |
| 3 | Several times a month | 11636 |
| 4 | Several times a year or less often | 10329 |
| 5 | Never | 7607 |
| 8 | Can´t choose | 32 |
| 9 | NA | 527 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36121 | 559 |
Valid range from 1 to 5
v9 Q1d Frequency of free time activities: Read books
| Value 9238 | Frequency | |
|---|---|---|
| 1 | Daily | 5842 |
| 2 | Several times a week | 6022 |
| 3 | Several times a month | 6831 |
| 4 | Several times a year or less often | 8870 |
| 5 | Never | 8521 |
| 8 | Can´t choose | 125 |
| 9 | NA | 469 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36086 | 594 |
Valid range from 1 to 5
v10 Q1e Frequency of free time activities: Attend cultural events
| Value 10237 | Frequency | |
|---|---|---|
| 1 | Daily | 185 |
| 2 | Several times a week | 787 |
| 3 | Several times a month | 3768 |
| 4 | Several times a year or less often | 16738 |
| 5 | Never | 14420 |
| 8 | Can´t choose | 266 |
| 9 | NA | 516 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35898 | 782 |
Valid range from 1 to 5
v11 Q1f Frequency of free time activities: Get together with relatives
| Value 11236 | Frequency | |
|---|---|---|
| 1 | Daily | 2237 |
| 2 | Several times a week | 6532 |
| 3 | Several times a month | 13599 |
| 4 | Several times a year or less often | 12081 |
| 5 | Never | 1813 |
| 8 | Can´t choose | 38 |
| 9 | NA | 380 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36262 | 418 |
Valid range from 1 to 5
v12 Q1g Frequency of free time activities: Get together with friends
| Value 12235 | Frequency | |
|---|---|---|
| 1 | Daily | 4580 |
| 2 | Several times a week | 9505 |
| 3 | Several times a month | 12982 |
| 4 | Several times a year or less often | 6618 |
| 5 | Never | 2565 |
| 8 | Can´t choose | 24 |
| 9 | NA | 406 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36250 | 430 |
Valid range from 1 to 5
v13 Q1h Frequency of free time activities: Play cards
| Value 13234 | Frequency | |
|---|---|---|
| 1 | Daily | 816 |
| 2 | Several times a week | 2636 |
| 3 | Several times a month | 5027 |
| 4 | Several times a year or less often | 9214 |
| 5 | Never | 18091 |
| 8 | Can´t choose | 358 |
| 9 | NA | 538 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35784 | 896 |
Valid range from 1 to 5
v14 Q1i Frequency of free time activities: Listen to music
| Value 14233 | Frequency | |
|---|---|---|
| 1 | Daily | 18682 |
| 2 | Several times a week | 8402 |
| 3 | Several times a month | 4094 |
| 4 | Several times a year or less often | 2207 |
| 5 | Never | 2786 |
| 8 | Can´t choose | 49 |
| 9 | NA | 460 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36171 | 509 |
Valid range from 1 to 5
v15 Q1j Frequency of free time activities: Sports, Gym
| Value 15232 | Frequency | |
|---|---|---|
| 1 | Daily | 5480 |
| 2 | Several times a week | 9243 |
| 3 | Several times a month | 6672 |
| 4 | Several times a year or less often | 4382 |
| 5 | Never | 10453 |
| 8 | Can´t choose | 86 |
| 9 | NA | 364 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36230 | 450 |
Valid range from 1 to 5
v16 Q1k Frequency of free time activities: Attend sporting events
| Value 16231 | Frequency | |
|---|---|---|
| 1 | Daily | 519 |
| 2 | Several times a week | 1716 |
| 3 | Several times a month | 4424 |
| 4 | Several times a year or less often | 10228 |
| 5 | Never | 18994 |
| 8 | Can´t choose | 368 |
| 9 | NA | 431 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35881 | 799 |
Valid range from 1 to 5
v17 Q1l Frequency of free time activities: Do handicrafts
| Value 17230 | Frequency | |
|---|---|---|
| 1 | Daily | 1863 |
| 2 | Several times a week | 2956 |
| 3 | Several times a month | 4712 |
| 4 | Several times a year or less often | 7314 |
| 5 | Never | 18923 |
| 8 | Can´t choose | 482 |
| 9 | NA | 430 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35768 | 912 |
Valid range from 1 to 5
v18 Q1m Frequency of free time activities: Spend time on the Internet
| Value 18229 | Frequency | |
|---|---|---|
| 1 | Daily | 8151 |
| 2 | Several times a week | 5463 |
| 3 | Several times a month | 3480 |
| 4 | Several times a year or less often | 2078 |
| 5 | Never | 16848 |
| 8 | Can´t choose | 273 |
| 9 | NA | 387 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36020 | 660 |
Valid range from 1 to 5
v19 Q2a Free time activities enable you to be yourself
| Value 19228 | Frequency | |
|---|---|---|
| 1 | Very much | 8506 |
| 2 | A lot | 12456 |
| 3 | Somewhat | 9106 |
| 4 | A little | 2885 |
| 5 | Not at all | 1072 |
| 8 | Can´t choose | 2067 |
| 9 | NA | 588 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 34025 | 2655 |
Valid range from 1 to 5
v20 Q2b Free time activities strengthen your relationships
| Value 20227 | Frequency | |
|---|---|---|
| 1 | Very much | 6048 |
| 2 | A lot | 12293 |
| 3 | Somewhat | 10585 |
| 4 | A little | 3974 |
| 5 | Not at all | 1469 |
| 8 | Can´t choose | 1744 |
| 9 | NA | 567 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 34369 | 2311 |
Valid range from 1 to 5
v21 Q3a Enjoyment from free time activities: Reading books
| Value 21226 | Frequency | |
|---|---|---|
| 1 | No enjoyment | 2209 |
| 2 | Not much enjoyment | 3215 |
| 3 | Some enjoyment | 7694 |
| 4 | A fair amount of enjoyment | 8196 |
| 5 | A great amount of enjoyment | 8707 |
| 6 | I never do that | 6075 |
| 8 | Can´t choose | 161 |
| 9 | NA | 423 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36096 | 584 |
Valid range from 1 to 6
v22 Q3b Enjoyment from: Getting together with friends
| Value 22225 | Frequency | |
|---|---|---|
| 1 | No enjoyment | 598 |
| 2 | Not much enjoyment | 1488 |
| 3 | Some enjoyment | 6100 |
| 4 | A fair amount of enjoyment | 12220 |
| 5 | A great amount of enjoyment | 14082 |
| 6 | I never do that | 1747 |
| 8 | Can´t choose | 42 |
| 9 | NA | 403 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36235 | 445 |
Valid range from 1 to 6
v23 Q3c Enjoyment from: Taking part in physical activities
| Value 23224 | Frequency | |
|---|---|---|
| 1 | No enjoyment | 1849 |
| 2 | Not much enjoyment | 2590 |
| 3 | Some enjoyment | 6643 |
| 4 | A fair amount of enjoyment | 8933 |
| 5 | A great amount of enjoyment | 8478 |
| 6 | I never do that | 7579 |
| 8 | Can´t choose | 160 |
| 9 | NA | 448 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36072 | 608 |
Valid range from 1 to 6
v24 Q3d Enjoyment from: Watching TV, videos
| Value 24223 | Frequency | |
|---|---|---|
| 1 | No enjoyment | 849 |
| 2 | Not much enjoyment | 3196 |
| 3 | Some enjoyment | 11109 |
| 4 | A fair amount of enjoyment | 12113 |
| 5 | A great amount of enjoyment | 7990 |
| 6 | I never do that | 1070 |
| 8 | Can´t choose | 47 |
| 9 | NA | 306 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36327 | 353 |
Valid range from 1 to 6
v25 Q4a How often in free time: Establish useful contacts
| Value 25222 | Frequency | |
|---|---|---|
| 1 | Very often | 2795 |
| 2 | Often | 7170 |
| 3 | Sometimes | 12625 |
| 4 | Seldom | 8278 |
| 5 | Never | 4241 |
| 8 | Can´t choose | 1036 |
| 9 | NA | 535 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35109 | 1571 |
Valid range from 1 to 5
v26 Q4b How often in free time: Relax and recover
| Value 26221 | Frequency | |
|---|---|---|
| 1 | Very often | 5888 |
| 2 | Often | 14288 |
| 3 | Sometimes | 10951 |
| 4 | Seldom | 3673 |
| 5 | Never | 988 |
| 8 | Can´t choose | 498 |
| 9 | NA | 394 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35788 | 892 |
Valid range from 1 to 5
v27 Q4c How often in free time: Learn or develop skills
| Value 27220 | Frequency | |
|---|---|---|
| 1 | Very often | 3292 |
| 2 | Often | 8142 |
| 3 | Sometimes | 12075 |
| 4 | Seldom | 6871 |
| 5 | Never | 4705 |
| 8 | Can´t choose | 1066 |
| 9 | NA | 529 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35085 | 1595 |
Valid range from 1 to 5
v28 Q5aa How often in free time: Feel bored
| Value 28219 | Frequency | |
|---|---|---|
| 1 | Very often | 1481 |
| 2 | Often | 3039 |
| 3 | Sometimes | 9879 |
| 4 | Seldom | 10774 |
| 5 | Never | 10750 |
| 8 | Dont know, Can´t choose, Can´t say, Doesn´t apply | 280 |
| 9 | NA | 477 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35923 | 757 |
Valid range from 1 to 5
v29 Q5ab How often in free time: Feel rushed
| Value 29218 | Frequency | |
|---|---|---|
| 1 | Very often | 2889 |
| 2 | Often | 6782 |
| 3 | Sometimes | 11118 |
| 4 | Seldom | 8037 |
| 5 | Never | 6998 |
| 8 | Dont know, Can´t choose, Can´t say, Doesn´t apply | 299 |
| 9 | NA | 557 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35824 | 856 |
Valid range from 1 to 5
v30 Q5ac How often in free time: Thinking about work
| Value 30217 | Frequency | |
|---|---|---|
| 1 | Very often | 4030 |
| 2 | Often | 8367 |
| 3 | Sometimes | 9307 |
| 4 | Seldom | 5249 |
| 5 | Never | 5684 |
| 8 | Dont know, Can´t choose, Can´t say, Doesn´t apply | 3305 |
| 9 | NA | 738 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 32637 | 4043 |
Valid range from 1 to 5
v31 Q5b Preference in free time: With other people or by oneself
| Value 31216 | Frequency | |
|---|---|---|
| 1 | Most of time with other people | 9618 |
| 2 | More with other people than alone | 13852 |
| 3 | More alone than with other people | 8044 |
| 4 | Most of time alone | 3519 |
| 8 | Can´t choose | 1182 |
| 9 | NA | 465 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35033 | 1647 |
Valid range from 1 to 4
v32 Q6a Change in spending time: Time in a paid job
| Value 32215 | Frequency | |
|---|---|---|
| 1 | Much more time | 3793 |
| 2 | A bit more time | 4265 |
| 3 | Same time as now | 9985 |
| 4 | A bit less time | 5973 |
| 5 | Much less time | 2946 |
| 0 | Doesn´t apply | 6822 |
| 8 | Can´t choose | 1190 |
| 9 | NA | 1706 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 26962 | 9718 |
Valid range from 1 to 5
v33 Q6b Change in spending time: Doing household work
| Value 33214 | Frequency | |
|---|---|---|
| 1 | Much more time | 2036 |
| 2 | A bit more time | 5972 |
| 3 | Same time as now | 15669 |
| 4 | A bit less time | 6415 |
| 5 | Much less time | 3912 |
| 0 | Doesn´t apply | 1150 |
| 8 | Can´t choose | 726 |
| 9 | NA | 800 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 34004 | 2676 |
Valid range from 1 to 5
v34 Q6c Change in spending time: Time with your family
| Value 34213 | Frequency | |
|---|---|---|
| 1 | Much more time | 9066 |
| 2 | A bit more time | 12393 |
| 3 | Same time as now | 12381 |
| 4 | A bit less time | 903 |
| 5 | Much less time | 308 |
| 0 | Doesn´t apply | 582 |
| 8 | Can´t choose | 466 |
| 9 | NA | 581 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35051 | 1629 |
Valid range from 1 to 5
v35 Q6d Change in spending time: Time in leisure activities
| Value 35212 | Frequency | |
|---|---|---|
| 1 | Much more time | 6431 |
| 2 | A bit more time | 12949 |
| 3 | Same time as now | 12055 |
| 4 | A bit less time | 1817 |
| 5 | Much less time | 1025 |
| 0 | Doesn´t apply | 980 |
| 8 | Can´t choose | 811 |
| 9 | NA | 612 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 34277 | 2403 |
Valid range from 1 to 5
v36 Q7a How many nights away from home for holidays
| Value 36211 | Frequency | |
|---|---|---|
| 0 | I was not away | 12480 |
| 1 | 1-5 nights | 6933 |
| 2 | 6-10 nights | 4487 |
| 3 | 11-20 nights | 4536 |
| 4 | 21-30 nights | 2970 |
| 5 | More than 30 nights | 4342 |
| 8 | Can´t choose | 728 |
| 9 | NA | 204 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35748 | 932 |
Valid range from 0 to 5
v37 Q7b How many days of leave from work
| Value 37210 | Frequency | |
|---|---|---|
| 0 | None | 9198 |
| 1 | 1-5 days | 3489 |
| 2 | 6-10 days | 2465 |
| 3 | 11-20 days | 3122 |
| 4 | 21-30 days | 2995 |
| 5 | More than 30 days | 2763 |
| 6 | I do not work | 11071 |
| 8 | Can´t choose | 1068 |
| 9 | NA | 509 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 24032 | 12648 |
Valid range from 0 to 5
v38 Q8a Most frequent sport or physical activity
| Value 38209 | Frequency | |
|---|---|---|
| 100 | Team sports | 13 |
| 101 | American football | 8 |
| 102 | Baseball, softball | 125 |
| 103 | Basketball | 745 |
| 104 | Cricket | 73 |
| 105 | Ice hockey | 36 |
| 106 | Field hockey | 28 |
| 107 | Football, soccer | 1635 |
| 108 | Handball | 50 |
| 109 | Netball | 119 |
| 110 | Polo, water polo | 8 |
| 111 | Rugby | 81 |
| 112 | Volleyball | 440 |
| 199 | Other team sports | 133 |
| 200 | Racket sports | 1 |
| 201 | Badminton | 193 |
| 202 | Squash | 55 |
| 203 | Table tennis | 117 |
| 204 | Tennis | 318 |
| 299 | Other racket or bat sports | 16 |
| 300 | Athletics and fitness sports | 14 |
| 301 | Athletics (e.g. running, long-/high-jumping), marathon | 206 |
| 302 | Body training (eg body-building, artist.gymnastics) | 329 |
| 303 | Fitness (aerobics, exercise machine-training, work-out) | 2409 |
| 304 | Jogging | 1526 |
| 305 | Walking, Nordic-w, trekking, climbing) | 7649 |
| 399 | Other fitness sports | 245 |
| 400 | Other sports | 3 |
| 401 | Adrenaline sports (e.g. bungee-jumping, paragliding) | 14 |
| 402 | Billiards, pool, snooker | 86 |
| 403 | Biathlon, triathlon | 7 |
| 404 | Bowling, curling, bocce | 202 |
| 405 | Boat sports (e.g. sailing, rowing, yachting) | 66 |
| 406 | Bullfight | 0 |
| 407 | Cockfighting | 2 |
| 408 | Cycling, mountain-biking | 1502 |
| 409 | Dancing (e.g. ballroom dancing, ballet) | 299 |
| 410 | Darts | 19 |
| 411 | Fencing | 1 |
| 412 | Fishing, hunting | 250 |
| 413 | Golf, minigolf | 348 |
| 414 | Horse riding, horse racing | 108 |
| 415 | Ice skating | 12 |
| 416 | Inline skating, skateboarding, roller skating | 38 |
| 417 | Martial arts (e.g. Boxing, wrestling, Judo) | 213 |
| 418 | Motor sports (motor racing, go carting) | 68 |
| 419 | Rodeo | 2 |
| 420 | Shooting (pistols, rifle, archery) | 29 |
| 421 | Swimming, diving, snorkeling | 831 |
| 422 | Surfing, water-skiing | 32 |
| 423 | Snow-sports (skiing, snowboarding, cross-country) | 243 |
| 499 | Other sports | 383 |
| 996 | I do not take part in any spor, none, no frequent sportt | 14991 |
| 998 | Don´t know, can´t choose | 0 |
| 999 | NA, no further answer | 359 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 21330 | 15350 |
Valid range from 100 to 499
v39 Q8b Type of games played most frequently
| Value 39208 | Frequency | |
|---|---|---|
| 1 | Backgammon | 333 |
| 2 | Checkers (brit. draughts) | 476 |
| 3 | Chess | 1099 |
| 4 | Go | 136 |
| 5 | Other board games | 2095 |
| 6 | Card games | 4675 |
| 7 | Dominoes | 1151 |
| 8 | Mah-jongg | 388 |
| 9 | Jigsaw puzzles | 670 |
| 10 | Word or number games | 3785 |
| 11 | Video games, computer games | 3187 |
| 12 | Gambling games | 2084 |
| 13 | Country specific games | 674 |
| 14 | Other games | 854 |
| 96 | I do not play any game | 14112 |
| 98 | CL,IL,SI: Can´t choose | 33 |
| 99 | NA | 928 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 21607 | 15073 |
Valid range from 1 to 14
v40 Q9a Reasons for sport or games: Physical or mental health
| Value 40207 | Frequency | |
|---|---|---|
| 1 | Very important | 18461 |
| 2 | Somewhat important | 9669 |
| 3 | Not very important | 2030 |
| 4 | Not important | 1142 |
| 0 | Doesn´t apply | 3562 |
| 8 | Can´t choose | 839 |
| 9 | NA | 977 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 31302 | 5378 |
Valid range from 1 to 4
v41 Q9b Reasons for sport or games: To meet other people
| Value 41206 | Frequency | |
|---|---|---|
| 1 | Very important | 8036 |
| 2 | Somewhat important | 12623 |
| 3 | Not very important | 6713 |
| 4 | Not important | 3421 |
| 0 | Doesn´t apply | 3645 |
| 8 | Can´t choose | 830 |
| 9 | NA | 1412 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 30793 | 5887 |
Valid range from 1 to 4
v42 Q9c Reasons for sport or games: To compete against others
| Value 42205 | Frequency | |
|---|---|---|
| 1 | Very important | 3835 |
| 2 | Somewhat important | 5780 |
| 3 | Not very important | 8343 |
| 4 | Not important | 11457 |
| 0 | Doesn´t apply | 4402 |
| 8 | Can´t choose | 1135 |
| 9 | NA | 1728 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 29415 | 7265 |
Valid range from 1 to 4
v43 Q9d Reasons for sport or games: To look good
| Value 43204 | Frequency | |
|---|---|---|
| 1 | Very important | 8177 |
| 2 | Somewhat important | 9395 |
| 3 | Not very important | 5772 |
| 4 | Not important | 6420 |
| 0 | Doesn´t apply | 4351 |
| 8 | Can´t choose | 1027 |
| 9 | NA | 1538 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 29764 | 6916 |
Valid range from 1 to 4
v44 Q10a Most frequent sport watched on TV
| Value 44203 | Frequency | |
|---|---|---|
| 100 | Team sports | 9 |
| 101 | American football | 65 |
| 102 | Baseball, softball | 3033 |
| 103 | Basketball | 1486 |
| 104 | Cricket | 508 |
| 105 | Ice hockey | 968 |
| 106 | Field hockey | 10 |
| 107 | Football, soccer | 8874 |
| 108 | Handball | 228 |
| 109 | Netball | 97 |
| 110 | Polo, water polo | 4 |
| 111 | Rugby | 1704 |
| 112 | Volleyball | 467 |
| 199 | Other team sports | 854 |
| 200 | Racket sports | 0 |
| 201 | Badminton | 9 |
| 202 | Squash | 1 |
| 203 | Table tennis | 17 |
| 204 | Tennis | 1185 |
| 299 | Other racket or bat sports | 4 |
| 300 | Athletics and fitness sports | 236 |
| 301 | Athletics (eg running, long-/high-jumping), marathon | 422 |
| 302 | Body training (eg body-building, artist.gymnastics) | 160 |
| 303 | Fitness (aerobics, exercise machine-training, work-out) | 72 |
| 304 | Jogging | 11 |
| 305 | Walking, Nordic-w, trekking, climbing) | 14 |
| 399 | Other fitness sports | 15 |
| 400 | Other sports | 5 |
| 401 | Adrenaline sports (e.g. bungee-jumping, paragliding) | 23 |
| 402 | Billiards, pool, snooker | 115 |
| 403 | Biathlon, triathlon | 50 |
| 404 | Bowling, curling, bocce | 36 |
| 405 | Boat sports (e.g. sailing, rowing, yachting) | 15 |
| 406 | Bullfight | 1 |
| 407 | Cockfighting | 2 |
| 408 | Cycling, mountain-biking | 311 |
| 409 | Dancing (e.g. ballroom dancing, ballet) | 199 |
| 410 | Darts | 1 |
| 411 | Fencing | 3 |
| 412 | Fishing, hunting | 17 |
| 413 | Golf, minigolf | 233 |
| 414 | Horse riding, horse racing | 142 |
| 415 | Ice skating | 804 |
| 416 | Inline skating, skateboarding, roller skating | 33 |
| 417 | Martial arts (e.g. Boxing, wrestling, Judo) | 912 |
| 418 | Motor sports (motor racing, go carting) | 923 |
| 419 | Rodeo | 8 |
| 420 | Shooting (pistols, rifle, archery) | 2 |
| 421 | Swimming, diving, snorkeling | 139 |
| 422 | Surfing, water-skiing | 10 |
| 423 | Snow-sports (skiing, snowboarding, cross-country) | 1249 |
| 499 | Other sports | 279 |
| 996 | I do not watch any sport | 10266 |
| 998 | Don´t know, Can´t choose | 16 |
| 999 | NA | 433 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 25965 | 10715 |
Valid range from 100 to 499
v45 Q10b Second most frequent sport watched on TV
| Value 45202 | Frequency | |
|---|---|---|
| 100 | Team sports | 2 |
| 101 | American football | 73 |
| 102 | Baseball, softball | 1308 |
| 103 | Basketball | 2184 |
| 104 | Cricket | 867 |
| 105 | Ice hockey | 1037 |
| 106 | Field hockey | 17 |
| 107 | Football, soccer | 3074 |
| 108 | Handball | 449 |
| 109 | Netball | 225 |
| 110 | Polo, water polo | 14 |
| 111 | Rugby | 1183 |
| 112 | Volleyball | 733 |
| 199 | Other team sports | 470 |
| 200 | Racket sports | 0 |
| 201 | Badminton | 22 |
| 202 | Squash | 4 |
| 203 | Table tennis | 38 |
| 204 | Tennis | 1776 |
| 299 | Other racket or bat sports | 7 |
| 300 | Athletics and fitness sports | 189 |
| 301 | Athletics (eg running, long-/high-jumping), marathon | 729 |
| 302 | Body training (eg body-building, artist.gymnastics) | 207 |
| 303 | Fitness (aerobics, exercise machine-training, work-out) | 59 |
| 304 | Jogging | 20 |
| 305 | Walking, Nordic-w, trekking, climbing) | 12 |
| 399 | Other fitness sports | 20 |
| 400 | Other sports | 3 |
| 401 | Adrenaline sports (e.g. bungee-jumping, paragliding) | 24 |
| 402 | Billiards, pool, snooker | 262 |
| 403 | Biathlon, triathlon | 37 |
| 404 | Bowling, curling, bocce | 65 |
| 405 | Boat sports (e.g. sailing, rowing, yachting) | 30 |
| 406 | Bullfight | 5 |
| 407 | Cockfighting | 4 |
| 408 | Cycling, mountain-biking | 408 |
| 409 | Dancing (e.g. ballroom dancing, ballet) | 224 |
| 410 | Darts | 8 |
| 411 | Fencing | 5 |
| 412 | Fishing, hunting | 35 |
| 413 | Golf, minigolf | 345 |
| 414 | Horse riding, horse racing | 158 |
| 415 | Ice skating | 511 |
| 416 | Inline skating, skateboarding, roller skating | 43 |
| 417 | Martial arts (e.g. Boxing, wrestling, Judo) | 1241 |
| 418 | Motor sports (motor racing, go carting) | 941 |
| 419 | Rodeo | 4 |
| 420 | Shooting (pistols, rifle, archery) | 6 |
| 421 | Swimming, diving, snorkeling | 364 |
| 422 | Surfing, water-skiing | 11 |
| 423 | Snow-sports (skiing, snowboarding, cross-country) | 1336 |
| 499 | Other sports | 394 |
| 0 | NAP, NAV | 6488 |
| 998 | CL,SI:Can´t choose | 947 |
| 999 | NA | 8062 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 21183 | 15497 |
Valid range from 100 to 499
v46 Q11 How proud about an international sport competition?
| Value 46201 | Frequency | |
|---|---|---|
| 1 | I am very proud | 19777 |
| 2 | I am somewhat proud | 11042 |
| 3 | I am not very proud | 2264 |
| 4 | I am not proud at all | 1416 |
| 8 | Can´t choose | 1756 |
| 9 | NA | 425 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 34499 | 2181 |
Valid range from 1 to 4
v47 Q12a Opinion: Sport develops children´s character
| Value 47200 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 16033 |
| 2 | Agree | 15296 |
| 3 | Neither agree nor disagree | 2853 |
| 4 | Disagree | 953 |
| 5 | Disagree strongly | 294 |
| 8 | Can´t choose | 826 |
| 9 | NA | 425 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35429 | 1251 |
Valid range from 1 to 5
v48 Q12b Opinion: Too much sport on TV
| Value 48199 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 3456 |
| 2 | Agree | 7197 |
| 3 | Neither agree nor disagree | 10623 |
| 4 | Disagree | 9170 |
| 5 | Disagree strongly | 3460 |
| 8 | Can´t choose | 2110 |
| 9 | NA | 664 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 33906 | 2774 |
Valid range from 1 to 5
v49 Q12c Opinion: Sport brings different groups together
| Value 49198 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 8468 |
| 2 | Agree | 17465 |
| 3 | Neither agree nor disagree | 5697 |
| 4 | Disagree | 2176 |
| 5 | Disagree strongly | 560 |
| 8 | Can´t choose | 1773 |
| 9 | NA | 541 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 34366 | 2314 |
Valid range from 1 to 5
v50 Q12d Opinion: Intern. sport competition create tension betw. countries
| Value 50197 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 2418 |
| 2 | Agree | 6945 |
| 3 | Neither agree nor disagree | 7939 |
| 4 | Disagree | 11528 |
| 5 | Disagree strongly | 4801 |
| 8 | Can´t choose | 2455 |
| 9 | NA | 594 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 33631 | 3049 |
Valid range from 1 to 5
v51 Q12e Opinion: Government should spend more money on sports
| Value 51196 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 8054 |
| 2 | Agree | 11114 |
| 3 | Neither agree nor disagree | 7919 |
| 4 | Disagree | 4720 |
| 5 | Disagree strongly | 2060 |
| 8 | Can´t choose | 2334 |
| 9 | NA | 479 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 33867 | 2813 |
Valid range from 1 to 5
v52 Q13a Participation: A sports association/group
| Value 52195 | Frequency | |
|---|---|---|
| 1 | At least once a week | 3317 |
| 2 | At least once a month | 2075 |
| 3 | Several times | 2605 |
| 4 | Once or twice | 2606 |
| 5 | Never | 24940 |
| 8 | Don´t know | 521 |
| 9 | NA | 616 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35543 | 1137 |
Valid range from 1 to 5
v53 Q13b Participation: A cultural association/group
| Value 53194 | Frequency | |
|---|---|---|
| 1 | At least once a week | 1078 |
| 2 | At least once a month | 1716 |
| 3 | Several times | 2932 |
| 4 | Once or twice | 3655 |
| 5 | Never | 25825 |
| 8 | Can´t choose | 716 |
| 9 | NA | 758 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35206 | 1474 |
Valid range from 1 to 5
v54 Q13c Participation: A church or religious organisation
| Value 54193 | Frequency | |
|---|---|---|
| 1 | At least once a week | 3338 |
| 2 | At least once a month | 2279 |
| 3 | Several times | 3527 |
| 4 | Once or twice | 3761 |
| 5 | Never | 22475 |
| 8 | Can´t choose | 663 |
| 9 | NA | 637 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35380 | 1300 |
Valid range from 1 to 5
v55 Q13d Participation: A community-service or civic association/group
| Value 55192 | Frequency | |
|---|---|---|
| 1 | At least once a week | 1223 |
| 2 | At least once a month | 1993 |
| 3 | Several times | 2897 |
| 4 | Once or twice | 3830 |
| 5 | Never | 25510 |
| 8 | Can´t choose | 597 |
| 9 | NA | 630 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35453 | 1227 |
Valid range from 1 to 5
v56 Q13e Participation: A political party or organisation
| Value 56191 | Frequency | |
|---|---|---|
| 1 | At least once a week | 321 |
| 2 | At least once a month | 704 |
| 3 | Several times | 1242 |
| 4 | Once or twice | 1670 |
| 5 | Never | 31117 |
| 8 | Can´t choose | 913 |
| 9 | NA | 713 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35054 | 1626 |
Valid range from 1 to 5
v57 Q14a Trust in people or careful in dealing with people
| Value 57190 | Frequency | |
|---|---|---|
| 1 | People can almost always be trusted | 2056 |
| 2 | People can usually be trusted | 13026 |
| 3 | You usually can´t be too careful in dealing with people | 14201 |
| 4 | You almost always can´t be too careful in dealing with peopl | 6328 |
| 8 | Can´t choose | 852 |
| 9 | NA | 217 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35611 | 1069 |
Valid range from 1 to 4
v58 Q14b Personal interest in politics
| Value 58189 | Frequency | |
|---|---|---|
| 1 | Very interested | 2944 |
| 2 | Fairly interested | 10095 |
| 3 | Not very interested | 12541 |
| 4 | Not at all interested | 9458 |
| 0 | Not available: Slovenia | 1003 |
| 8 | Can´t choose | 405 |
| 9 | NA | 234 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35038 | 1642 |
Valid range from 1 to 4
v59 Q15a Obstacle: Lack of facilities nearby
| Value 59188 | Frequency | |
|---|---|---|
| 1 | Very much | 4808 |
| 2 | To a large extent | 5526 |
| 3 | To some extent | 8553 |
| 4 | Not at all | 14919 |
| 8 | Can´t choose | 1842 |
| 9 | NA | 1032 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 33806 | 2874 |
Valid range from 1 to 4
v60 Q15b Obstacle: Lack of money
| Value 60187 | Frequency | |
|---|---|---|
| 1 | Very much | 6560 |
| 2 | To a large extent | 6795 |
| 3 | To some extent | 9689 |
| 4 | Not at all | 11595 |
| 8 | Can´t choose | 1168 |
| 9 | NA | 873 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 34639 | 2041 |
Valid range from 1 to 4
v61 Q15c Obstacle: Personal health, age or disability
| Value 61186 | Frequency | |
|---|---|---|
| 1 | Very much | 3926 |
| 2 | To a large extent | 4463 |
| 3 | To some extent | 7434 |
| 4 | Not at all | 19210 |
| 8 | Can´t choose | 987 |
| 9 | NA | 660 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35033 | 1647 |
Valid range from 1 to 4
v62 Q15d Obstacle: Taking care of someone
| Value 62185 | Frequency | |
|---|---|---|
| 1 | Very much | 2978 |
| 2 | To a large extent | 4086 |
| 3 | To some extent | 6694 |
| 4 | Not at all | 20654 |
| 8 | Can´t choose | 1294 |
| 9 | NA | 974 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 34412 | 2268 |
Valid range from 1 to 4
v63 Q15e Obstacle: Lack of time
| Value 63184 | Frequency | |
|---|---|---|
| 1 | Very much | 6119 |
| 2 | To a large extent | 7361 |
| 3 | To some extent | 10010 |
| 4 | Not at all | 11264 |
| 8 | Can´t choose | 1082 |
| 9 | NA | 844 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 34754 | 1926 |
Valid range from 1 to 4
v64 Q16 How happy or unhappy in general, these days
| Value 64183 | Frequency | |
|---|---|---|
| 1 | Very happy | 9398 |
| 2 | Fairly happy | 19946 |
| 3 | Not very happy | 5422 |
| 4 | Not at all happy | 937 |
| 8 | Can´t choose | 756 |
| 9 | NA | 221 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35703 | 977 |
Valid range from 1 to 4
v65 Q17 Status of health in general
| Value 65182 | Frequency | |
|---|---|---|
| 1 | Excellent | 4999 |
| 2 | Very good | 9346 |
| 3 | Good | 11465 |
| 4 | Fair | 8084 |
| 5 | Poor | 2478 |
| 8 | Can´t choose | 145 |
| 9 | NA | 163 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36372 | 308 |
Valid range from 1 to 5
v66 Q18a Yesterday was: Working-day or holiday
| Value 66181 | Frequency | |
|---|---|---|
| 1 | A weekday or working-day | 5482 |
| 2 | A day off or a holiday | 3812 |
| 0 | Not availabe: AU, FLA, CL, TW, HR, CZ, DO, FR, IL, JP, LV, N | 27084 |
| 9 | NA | 302 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 9294 | 27386 |
Valid range from 1 to 2
v67 Q18b Time of getting up yesterday
| Value 67180 | Frequency | |
|---|---|---|
| 0 | 0:00 o´clock | 27 |
| 5 | 1 | |
| 13 | 1 | |
| 30 | 4 | |
| 100 | 13 | |
| 104 | 1 | |
| 130 | 2 | |
| 200 | 7 | |
| 210 | 1 | |
| 215 | 1 | |
| 230 | 4 | |
| 300 | 58 | |
| 305 | 1 | |
| 315 | 2 | |
| 330 | 22 | |
| 340 | 1 | |
| 350 | 1 | |
| 400 | 224 | |
| 403 | 1 | |
| 405 | 1 | |
| 410 | 1 | |
| 415 | 8 | |
| 420 | 2 | |
| 425 | 1 | |
| 430 | 118 | |
| 435 | 1 | |
| 440 | 6 | |
| 445 | 16 | |
| 447 | 1 | |
| 450 | 13 | |
| 455 | 1 | |
| 459 | 1 | |
| 500 | 658 | |
| 501 | 2 | |
| 505 | 5 | |
| 510 | 11 | |
| 515 | 22 | |
| 520 | 20 | |
| 523 | 1 | |
| 525 | 3 | |
| 530 | 352 | |
| 534 | 1 | |
| 535 | 1 | |
| 540 | 27 | |
| 545 | 64 | |
| 550 | 22 | |
| 555 | 2 | |
| 600 | 1515 | |
| 601 | 2 | |
| 603 | 2 | |
| 604 | 1 | |
| 605 | 16 | |
| 606 | 1 | |
| 610 | 44 | |
| 613 | 1 | |
| 615 | 77 | |
| 617 | 1 | |
| 620 | 46 | |
| 623 | 1 | |
| 625 | 5 | |
| 626 | 1 | |
| 628 | 1 | |
| 630 | 657 | |
| 631 | 1 | |
| 633 | 1 | |
| 635 | 9 | |
| 636 | 1 | |
| 640 | 64 | |
| 645 | 93 | |
| 646 | 1 | |
| 650 | 44 | |
| 655 | 4 | |
| 659 | 2 | |
| 700 | 1591 | |
| 701 | 4 | |
| 703 | 1 | |
| 705 | 13 | |
| 708 | 1 | |
| 709 | 1 | |
| 710 | 54 | |
| 714 | 1 | |
| 715 | 71 | |
| 720 | 59 | |
| 725 | 5 | |
| 730 | 483 | |
| 732 | 1 | |
| 735 | 5 | |
| 739 | 1 | |
| 740 | 25 | |
| 745 | 37 | |
| 746 | 1 | |
| 750 | 23 | |
| 755 | 3 | |
| 800 | 1030 | |
| 801 | 2 | |
| 803 | 1 | |
| 805 | 4 | |
| 810 | 35 | |
| 815 | 55 | |
| 820 | 22 | |
| 825 | 3 | |
| 829 | 1 | |
| 830 | 220 | |
| 834 | 1 | |
| 835 | 2 | |
| 840 | 4 | |
| 845 | 20 | |
| 850 | 4 | |
| 850 | 1 | |
| 900 | 545 | |
| 905 | 3 | |
| 910 | 10 | |
| 913 | 1 | |
| 915 | 28 | |
| 920 | 12 | |
| 924 | 1 | |
| 925 | 1 | |
| 930 | 104 | |
| 931 | 1 | |
| 940 | 6 | |
| 945 | 7 | |
| 950 | 7 | |
| 1000 | 255 | |
| 1005 | 1 | |
| 1010 | 3 | |
| 1015 | 14 | |
| 1020 | 10 | |
| 1030 | 49 | |
| 1034 | 1 | |
| 1045 | 3 | |
| 1055 | 1 | |
| 1100 | 108 | |
| 1105 | 1 | |
| 1110 | 1 | |
| 1115 | 2 | |
| 1120 | 1 | |
| 1130 | 22 | |
| 1135 | 1 | |
| 1140 | 2 | |
| 1200 | 56 | |
| 1203 | 1 | |
| 1215 | 1 | |
| 1230 | 11 | |
| 1231 | 1 | |
| 1237 | 1 | |
| 1240 | 1 | |
| 1245 | 1 | |
| 1300 | 24 | |
| 1310 | 1 | |
| 1330 | 5 | |
| 1345 | 1 | |
| 1400 | 16 | |
| 1410 | 1 | |
| 1415 | 1 | |
| 1420 | 1 | |
| 1430 | 4 | |
| 1440 | 1 | |
| 1500 | 10 | |
| 1505 | 1 | |
| 1520 | 1 | |
| 1530 | 1 | |
| 1600 | 10 | |
| 1630 | 1 | |
| 1700 | 7 | |
| 1730 | 3 | |
| 1800 | 8 | |
| 1830 | 6 | |
| 1900 | 5 | |
| 1910 | 1 | |
| 1930 | 2 | |
| 2030 | 1 | |
| 2100 | 1 | |
| 2130 | 1 | |
| 2200 | 3 | |
| 2230 | 1 | |
| 2300 | 1 | |
| 9990 | NAV; Not asked | 27084 |
| 9999 | DK;NA | 94 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 9502 | 27178 |
Valid range from 0 to 2300
v68 Q18c Time go to sleep yesterday
| Value 68179 | Frequency | |
|---|---|---|
| 0 | 0:00 o´clock | 1271 |
| 1 | 2 | |
| 3 | 1 | |
| 5 | 2 | |
| 10 | 13 | |
| 15 | 32 | |
| 17 | 1 | |
| 20 | 10 | |
| 24 | 1 | |
| 25 | 1 | |
| 30 | 186 | |
| 35 | 3 | |
| 40 | 18 | |
| 45 | 13 | |
| 50 | 5 | |
| 59 | 1 | |
| 100 | 419 | |
| 103 | 1 | |
| 105 | 2 | |
| 110 | 4 | |
| 115 | 12 | |
| 120 | 8 | |
| 124 | 1 | |
| 125 | 1 | |
| 130 | 114 | |
| 140 | 5 | |
| 145 | 1 | |
| 150 | 3 | |
| 200 | 267 | |
| 210 | 4 | |
| 211 | 1 | |
| 215 | 5 | |
| 220 | 5 | |
| 225 | 1 | |
| 230 | 55 | |
| 232 | 1 | |
| 235 | 2 | |
| 236 | 1 | |
| 240 | 6 | |
| 245 | 4 | |
| 250 | 3 | |
| 300 | 119 | |
| 310 | 3 | |
| 315 | 1 | |
| 320 | 1 | |
| 330 | 5 | |
| 335 | 1 | |
| 340 | 1 | |
| 345 | 1 | |
| 400 | 60 | |
| 410 | 1 | |
| 430 | 9 | |
| 500 | 31 | |
| 530 | 4 | |
| 535 | 1 | |
| 600 | 27 | |
| 630 | 6 | |
| 700 | 12 | |
| 730 | 3 | |
| 750 | 1 | |
| 800 | 15 | |
| 830 | 3 | |
| 900 | 26 | |
| 915 | 1 | |
| 930 | 5 | |
| 940 | 1 | |
| 950 | 1 | |
| 1000 | 61 | |
| 1001 | 1 | |
| 1015 | 2 | |
| 1020 | 1 | |
| 1030 | 22 | |
| 1040 | 1 | |
| 1045 | 3 | |
| 1050 | 3 | |
| 1100 | 109 | |
| 1105 | 2 | |
| 1110 | 1 | |
| 1115 | 4 | |
| 1120 | 4 | |
| 1125 | 1 | |
| 1130 | 21 | |
| 1147 | 1 | |
| 1200 | 63 | |
| 1205 | 1 | |
| 1215 | 1 | |
| 1217 | 1 | |
| 1220 | 1 | |
| 1230 | 22 | |
| 1235 | 1 | |
| 1300 | 10 | |
| 1310 | 1 | |
| 1330 | 4 | |
| 1400 | 7 | |
| 1430 | 1 | |
| 1500 | 5 | |
| 1600 | 1 | |
| 1620 | 1 | |
| 1700 | 6 | |
| 1740 | 1 | |
| 1745 | 1 | |
| 1800 | 25 | |
| 1830 | 6 | |
| 1845 | 1 | |
| 1900 | 98 | |
| 1905 | 1 | |
| 1910 | 1 | |
| 1915 | 1 | |
| 1920 | 1 | |
| 1930 | 16 | |
| 1945 | 3 | |
| 1950 | 1 | |
| 2000 | 263 | |
| 2010 | 2 | |
| 2015 | 5 | |
| 2020 | 4 | |
| 2030 | 55 | |
| 2035 | 1 | |
| 2040 | 3 | |
| 2045 | 9 | |
| 2050 | 1 | |
| 2100 | 579 | |
| 2105 | 2 | |
| 2110 | 9 | |
| 2115 | 15 | |
| 2120 | 5 | |
| 2125 | 2 | |
| 2130 | 248 | |
| 2132 | 1 | |
| 2135 | 3 | |
| 2140 | 11 | |
| 2145 | 18 | |
| 2148 | 1 | |
| 2150 | 11 | |
| 2152 | 1 | |
| 2155 | 1 | |
| 2159 | 1 | |
| 2200 | 1347 | |
| 2202 | 2 | |
| 2205 | 8 | |
| 2210 | 25 | |
| 2211 | 1 | |
| 2215 | 53 | |
| 2220 | 24 | |
| 2225 | 1 | |
| 2230 | 553 | |
| 2235 | 9 | |
| 2240 | 31 | |
| 2245 | 54 | |
| 2250 | 29 | |
| 2255 | 5 | |
| 2300 | 1873 | |
| 2301 | 1 | |
| 2305 | 6 | |
| 2309 | 1 | |
| 2310 | 45 | |
| 2315 | 82 | |
| 2320 | 33 | |
| 2325 | 1 | |
| 2328 | 1 | |
| 2330 | 563 | |
| 2331 | 1 | |
| 2333 | 1 | |
| 2335 | 7 | |
| 2339 | 1 | |
| 2340 | 33 | |
| 2341 | 1 | |
| 2345 | 50 | |
| 2350 | 51 | |
| 2355 | 5 | |
| 2359 | 23:59 | 2 |
| 9990 | NAV; Not asked | 27084 |
| 9999 | DK;NA | 101 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 9495 | 27185 |
Valid range from 0 to 2359
v69 Q19a Height of Respondent: cm
| Value 69178 | Frequency | |
|---|---|---|
| 105 | 1 | |
| 110 | 1 | |
| 120 | 5 | |
| 122 | 5 | |
| 124 | 6 | |
| 125 | 3 | |
| 126 | 1 | |
| 127 | 10 | |
| 130 | 19 | |
| 132 | 6 | |
| 133 | 1 | |
| 134 | 1 | |
| 135 | 30 | |
| 136 | 1 | |
| 137 | 13 | |
| 138 | 2 | |
| 140 | 29 | |
| 142 | 33 | |
| 143 | 9 | |
| 144 | 3 | |
| 145 | 81 | |
| 146 | 7 | |
| 147 | 25 | |
| 148 | 40 | |
| 149 | 23 | |
| 150 | 371 | |
| 151 | 31 | |
| 152 | 352 | |
| 153 | 133 | |
| 154 | 164 | |
| 155 | 516 | |
| 156 | 295 | |
| 157 | 546 | |
| 158 | 539 | |
| 159 | 171 | |
| 160 | 1407 | |
| 161 | 197 | |
| 162 | 469 | |
| 163 | 857 | |
| 164 | 542 | |
| 165 | 1374 | |
| 166 | 198 | |
| 167 | 410 | |
| 168 | 1229 | |
| 169 | 247 | |
| 170 | 1365 | |
| 171 | 173 | |
| 172 | 512 | |
| 173 | 571 | |
| 174 | 339 | |
| 175 | 811 | |
| 176 | 423 | |
| 177 | 152 | |
| 178 | 481 | |
| 179 | 118 | |
| 180 | 669 | |
| 181 | 99 | |
| 182 | 219 | |
| 183 | 237 | |
| 184 | 98 | |
| 185 | 185 | |
| 186 | 85 | |
| 187 | 72 | |
| 188 | 79 | |
| 189 | 20 | |
| 190 | 57 | |
| 191 | 33 | |
| 192 | 26 | |
| 193 | 23 | |
| 194 | 11 | |
| 195 | 12 | |
| 196 | 17 | |
| 197 | 6 | |
| 198 | 7 | |
| 200 | 4 | |
| 203 | 2 | |
| 204 | 2 | |
| 0 | Not available: AU, FLA, CL, TW, HR, CZ, JP, LV, NO, SI, ZA, | 18784 |
| 998 | Don´t know | 29 |
| 999 | NA | 556 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 17311 | 19369 |
Valid range from 105 to 204
v70 Q19b Weight of Respondent: kg
| Value 70177 | Frequency | |
|---|---|---|
| 32 | 5 | |
| 33 | 1 | |
| 35 | 4 | |
| 36 | 6 | |
| 37 | 3 | |
| 38 | 6 | |
| 39 | 8 | |
| 40 | 35 | |
| 41 | 28 | |
| 42 | 29 | |
| 43 | 48 | |
| 44 | 33 | |
| 45 | 173 | |
| 46 | 55 | |
| 47 | 103 | |
| 48 | 178 | |
| 49 | 111 | |
| 50 | 495 | |
| 51 | 141 | |
| 52 | 335 | |
| 53 | 246 | |
| 54 | 319 | |
| 55 | 534 | |
| 56 | 289 | |
| 57 | 357 | |
| 58 | 403 | |
| 59 | 396 | |
| 60 | 933 | |
| 61 | 272 | |
| 62 | 372 | |
| 63 | 384 | |
| 64 | 446 | |
| 65 | 688 | |
| 66 | 293 | |
| 67 | 300 | |
| 68 | 571 | |
| 69 | 219 | |
| 70 | 949 | |
| 71 | 183 | |
| 72 | 405 | |
| 73 | 366 | |
| 74 | 291 | |
| 75 | 683 | |
| 76 | 235 | |
| 77 | 217 | |
| 78 | 382 | |
| 79 | 145 | |
| 80 | 808 | |
| 81 | 112 | |
| 82 | 311 | |
| 83 | 194 | |
| 84 | 191 | |
| 85 | 397 | |
| 86 | 172 | |
| 87 | 109 | |
| 88 | 127 | |
| 89 | 124 | |
| 90 | 403 | |
| 91 | 78 | |
| 92 | 93 | |
| 93 | 79 | |
| 94 | 84 | |
| 95 | 188 | |
| 96 | 65 | |
| 97 | 46 | |
| 98 | 68 | |
| 99 | 14 | |
| 100 | 166 | |
| 101 | 10 | |
| 102 | 44 | |
| 103 | 25 | |
| 104 | 20 | |
| 105 | 62 | |
| 106 | 13 | |
| 107 | 11 | |
| 108 | 25 | |
| 109 | 9 | |
| 110 | 60 | |
| 111 | 4 | |
| 112 | 13 | |
| 113 | 6 | |
| 114 | 13 | |
| 115 | 27 | |
| 116 | 8 | |
| 117 | 4 | |
| 118 | 4 | |
| 119 | 2 | |
| 120 | 26 | |
| 121 | 2 | |
| 122 | 3 | |
| 123 | 2 | |
| 124 | 4 | |
| 125 | 10 | |
| 126 | 2 | |
| 127 | 5 | |
| 128 | 1 | |
| 130 | 14 | |
| 132 | 5 | |
| 136 | 1 | |
| 138 | 2 | |
| 140 | 6 | |
| 143 | 2 | |
| 148 | 1 | |
| 153 | 1 | |
| 165 | 3 | |
| 170 | 2 | |
| 171 | 1 | |
| 180 | 2 | |
| 185 | 1 | |
| 188 | 1 | |
| 190 | 2 | |
| 198 | 1 | |
| 200 | 1 | |
| 0 | Not available: AU, FLA, CL, TW, HR, CZ, JP, LV, NO, SI, ZA, | 18784 |
| 998 | Don´t know | 177 |
| 999 | NA | 754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 16965 | 19715 |
Valid range from 32 to 200
v71 Q20 Would you like to gain or lose weight?
| Value 71176 | Frequency | |
|---|---|---|
| 1 | Gain weight | 1296 |
| 2 | Maintain your current weight | 6476 |
| 3 | Lose weight | 7278 |
| 8 | I don´t care about my weight | 1398 |
| 0 | NAV | 20077 |
| 9 | NA | 155 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 16448 | 20232 |
Valid range from 1 to 8
v72 Q21a Pictures of the ideal shape of a man
| Value 72175 | Frequency | |
|---|---|---|
| 1 | picture 1 (very corpulent) | 390 |
| 2 | picture 2 (corpulent) | 5803 |
| 3 | picture 3 (slender) | 6840 |
| 4 | picture 4 (very slender) | 839 |
| 0 | NAV | 22434 |
| 9 | NA | 374 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 13872 | 22808 |
Valid range from 1 to 4
v73 Q21b Pictures of the ideal shape of a woman
| Value 73174 | Frequency | |
|---|---|---|
| 1 | picture 1 (very corpulent) | 520 |
| 2 | picture 2 (corpulent) | 5698 |
| 3 | picture 3 (slender) | 6863 |
| 4 | picture 4 (very slender) | 802 |
| 0 | NAV | 22434 |
| 9 | NA | 363 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 13883 | 22797 |
Valid range from 1 to 4
sex R: Sex
| Value 74173 | Frequency | |
|---|---|---|
| 1 | Male | 16521 |
| 2 | Female | 20123 |
| 9 | NA, refused | 36 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36644 | 36 |
Valid range from 1 to 2
age R: Age
| Value 75172 | Frequency | |
|---|---|---|
| 15 | 15 | 25 |
| 16 | 118 | |
| 17 | 120 | |
| 18 | 686 | |
| 19 | 709 | |
| 20 | 640 | |
| 21 | 682 | |
| 22 | 577 | |
| 23 | 632 | |
| 24 | 695 | |
| 25 | 703 | |
| 26 | 641 | |
| 27 | 673 | |
| 28 | 632 | |
| 29 | 644 | |
| 30 | 654 | |
| 31 | 605 | |
| 32 | 668 | |
| 33 | 600 | |
| 34 | 652 | |
| 35 | 752 | |
| 36 | 662 | |
| 37 | 657 | |
| 38 | 692 | |
| 39 | 708 | |
| 40 | 800 | |
| 41 | 635 | |
| 42 | 717 | |
| 43 | 676 | |
| 44 | 661 | |
| 45 | 741 | |
| 46 | 678 | |
| 47 | 610 | |
| 48 | 682 | |
| 49 | 607 | |
| 50 | 703 | |
| 51 | 612 | |
| 52 | 623 | |
| 53 | 613 | |
| 54 | 615 | |
| 55 | 601 | |
| 56 | 596 | |
| 57 | 575 | |
| 58 | 596 | |
| 59 | 550 | |
| 60 | 675 | |
| 61 | 527 | |
| 62 | 476 | |
| 63 | 486 | |
| 64 | 452 | |
| 65 | 424 | |
| 66 | 413 | |
| 67 | 460 | |
| 68 | 437 | |
| 69 | 437 | |
| 70 | 451 | |
| 71 | 376 | |
| 72 | 337 | |
| 73 | 329 | |
| 74 | 319 | |
| 75 | 308 | |
| 76 | 287 | |
| 77 | 247 | |
| 78 | 244 | |
| 79 | 228 | |
| 80 | 189 | |
| 81 | 133 | |
| 82 | 116 | |
| 83 | 90 | |
| 84 | 108 | |
| 85 | 78 | |
| 86 | 61 | |
| 87 | 50 | |
| 88 | 26 | |
| 89 | 22 | |
| 90 | 18 | |
| 91 | 15 | |
| 92 | 10 | |
| 93 | 9 | |
| 94 | 11 | |
| 95 | 1 | |
| 96 | 2 | |
| 97 | 2 | |
| 98 | 98 | 2 |
| 99 | NA, refused | 106 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36574 | 106 |
Valid range from 15 to 98
marital R: Marital status
| Value 76171 | Frequency | |
|---|---|---|
| 1 | Married | 19510 |
| 2 | Widowed | 3041 |
| 3 | Divorced | 2300 |
| 4 | Separated (married but sep./not living w legal spouse) | 819 |
| 5 | Never married | 9993 |
| 6 | CH: Registered partnership | 4 |
| 9 | NA, refused | 1013 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35667 | 1013 |
Valid range from 1 to 6
cohab R: Steady life-partner
| Value 77170 | Frequency | |
|---|---|---|
| 1 | Yes | 3742 |
| 2 | No | 12969 |
| 0 | NAP (married and living w legal spouse, Code 1 in MARITAL) | 18209 |
| 9 | NA,refused | 1760 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 16711 | 19969 |
Valid range from 1 to 2
educyrs R: Education I: years of schooling
| Value 78169 | Frequency | |
|---|---|---|
| 1 | 81 | |
| 2 | 208 | |
| 3 | 371 | |
| 4 | 509 | |
| 5 | 378 | |
| 6 | 1591 | |
| 7 | 768 | |
| 8 | 2394 | |
| 9 | 2202 | |
| 10 | 2760 | |
| 11 | 2740 | |
| 12 | 6621 | |
| 13 | 2175 | |
| 14 | 2205 | |
| 15 | 1799 | |
| 16 | 2517 | |
| 17 | 1277 | |
| 18 | 1060 | |
| 19 | 403 | |
| 20 | 326 | |
| 21 | 107 | |
| 22 | 76 | |
| 23 | 46 | |
| 24 | 35 | |
| 25 | 24 | |
| 26 | 3 | |
| 27 | 5 | |
| 28 | 6 | |
| 29 | 1 | |
| 30 | 7 | |
| 31 | 5 | |
| 32 | 3 | |
| 34 | 1 | |
| 35 | 2 | |
| 36 | 1 | |
| 37 | 1 | |
| 39 | 1 | |
| 40 | 1 | |
| 41 | 1 | |
| 42 | 1 | |
| 44 | 1 | |
| 95 | Still at school | 576 |
| 96 | Still at college,university | 1578 |
| 97 | No formal schooling | 825 |
| 0 | NAV | 30 |
| 98 | Dont know | 202 |
| 99 | NA, refused | 756 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35692 | 988 |
Valid range from 1 to 97
degree R: Education II-highest education level
| Value 79168 | Frequency | |
|---|---|---|
| 0 | No formal qualification | 1578 |
| 1 | Lowest formal qualification | 6750 |
| 2 | Above lowest qualification | 7417 |
| 3 | Higher secondary completed | 8443 |
| 4 | Above higher secondary level | 6385 |
| 5 | University degree completed | 5687 |
| 8 | CH: Don´t know | 7 |
| 9 | NA, LV:NAV | 413 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36260 | 420 |
Valid range from 0 to 5
au_degr Country specific education: Australia
| Value 80167 | Frequency | |
|---|---|---|
| 1 | Did not complete High School to Year 10 | 283 |
| 2 | Completed High School to Year 10 | 398 |
| 3 | Completed High School to Year 12 | 272 |
| 4 | Trade qualification or apprenticeship | 374 |
| 5 | Certificate or Diploma (TAFE or business college) | 702 |
| 6 | Bachelor Degree (including Honors) | 419 |
| 7 | Postgraduate Degree or Postgraduate Diploma | 253 |
| 0 | NAP, other countries | 33911 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 68 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2701 | 33979 |
Valid range from 1 to 7
ch_degr Country specific education: Switzerland
| Value 81166 | Frequency | |
|---|---|---|
| 1 | Unfinished obligatory School | 1 |
| 2 | Primary School | 60 |
| 3 | Secondary School | 80 |
| 4 | Basic Vocational Education (1-2 years) | 68 |
| 5 | Apprenticeship. Voc. Colleges and Businesses | 400 |
| 6 | Specialised Middle Schools | 46 |
| 7 | Matura Schools | 71 |
| 8 | Vocational Training (second Training) | 36 |
| 9 | Professional Baccalaureate Schools/Adult Matura Schools | 9 |
| 10 | Higher Vocational Education and Training | 64 |
| 11 | Universities of Applied Sciences/Teacher Education | 55 |
| 12 | Universities. Federal Institutes of Technology | 89 |
| 13 | PhD Doctorate | 17 |
| 95 | other education | 0 |
| 0 | NAP, other countries | 35677 |
| 97 | Refused | 0 |
| 98 | DK | 7 |
| 99 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 996 | 35684 |
Valid range from 1 to 95
cl_degr Country specific education: Chile
| Value 82165 | Frequency | |
|---|---|---|
| 1 | None | 16 |
| 2 | Incomplete primary | 277 |
| 3 | Primary completed | 196 |
| 4 | Incomplete secondary | 228 |
| 5 | Secondary completed | 411 |
| 6 | University incomplete | 72 |
| 7 | University completed | 101 |
| 8 | Incompl non-university higher | 62 |
| 9 | Compl non-university higher | 123 |
| 0 | NAP, other countries | 35175 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 19 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1486 | 35194 |
Valid range from 1 to 9
cz_degr Country specific education: Czech Republic
| Value 83164 | Frequency | |
|---|---|---|
| 1 | Incomplete primary | 3 |
| 2 | Primary completed | 145 |
| 3 | Lower vocational | 398 |
| 4 | General sec.,no diploma | 105 |
| 5 | Vocational, diploma | 70 |
| 6 | Technical secondary | 270 |
| 7 | Academic secondary | 107 |
| 8 | Post secondary | 26 |
| 9 | Tertiary,bachelor degree | 21 |
| 10 | Tertiary,master degree | 58 |
| 11 | Post-graduate education | 8 |
| 0 | NAP, other countries | 35458 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1211 | 35469 |
Valid range from 1 to 11
do_degr Country specific education: Dominican Republic
| Value 84163 | Frequency | |
|---|---|---|
| 1 | No Formal Schooling | 109 |
| 2 | Incomplete Primary School | 523 |
| 3 | Primary school completed | 239 |
| 4 | Incomplete High School | 441 |
| 5 | High School Completed | 477 |
| 6 | Technical training incomplete | 26 |
| 7 | Technical training completed | 37 |
| 8 | University Incomplete | 144 |
| 9 | University Completed | 137 |
| 10 | Master, Doctorate degree incomplete | 17 |
| 11 | Master, Doctorate degree completed | 14 |
| 0 | NAP, other countries | 34516 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2164 | 34516 |
Valid range from 1 to 11
fi_degr Country specific education: Finland
| Value 85162 | Frequency | |
|---|---|---|
| 1 | None, still at school | 74 |
| 2 | Primary school | 143 |
| 3 | Comprehensive, prim.+lower secondary | 105 |
| 4 | Post-comprehensive, vocational educ | 294 |
| 5 | Post-comprehensive, upper secondary | 97 |
| 6 | Post-comprehensive, voc college | 317 |
| 7 | Polytechnics | 107 |
| 8 | University,BA,lower academic | 52 |
| 9 | University,MA,higher academic | 130 |
| 0 | NAP, other countries | 35326 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 35 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1319 | 35361 |
Valid range from 1 to 9
fla_degr Country specific education: Flanders
| Value 86161 | Frequency | |
|---|---|---|
| 1 | None | 26 |
| 2 | Primary education | 144 |
| 3 | Lower general secondary | 78 |
| 4 | Lower technical secondary | 106 |
| 5 | Lower secondary vocational | 85 |
| 6 | Lower special secondary | 4 |
| 7 | Higher general secondary | 147 |
| 8 | Higher technical secondary | 173 |
| 9 | Higher vocational secondary | 93 |
| 10 | Higher special secondary | 7 |
| 11 | Non-university,higher,short | 222 |
| 12 | Non-university,higher,long | 69 |
| 13 | University | 103 |
| 0 | NAP, other countries | 35423 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1257 | 35423 |
Valid range from 1 to 13
fr_degr Country specific education: France
| Value 87160 | Frequency | |
|---|---|---|
| 1 | None | 27 |
| 2 | Primary incomplete | 72 |
| 3 | Primary completed | 203 |
| 4 | General secondary level 1 | 146 |
| 5 | Vocat.sec. level 1 | 377 |
| 6 | Voc. sec. level 2 | 102 |
| 7 | Incompl gen.sec. level 2 | 131 |
| 8 | General sec.level 2 | 187 |
| 9 | College | 291 |
| 10 | University | 510 |
| 0 | NAP, other countries | 34619 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 15 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2046 | 34634 |
Valid range from 1 to 10
hr_degr Country specific education: Croatia
| Value 88159 | Frequency | |
|---|---|---|
| 1 | Did not complete elementary school | 62 |
| 2 | Elementary school, completed. | 370 |
| 3 | Three year vocational school completed | 160 |
| 4 | Four year vocational school completed | 365 |
| 5 | Gymnasium, completed (General secondary school). | 79 |
| 6 | Post secondary degree, completed; professional studies | 62 |
| 7 | University degree, completed; university studies | 101 |
| 0 | NAP, other countries | 35480 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1199 | 35481 |
Valid range from 1 to 7
il_degr Country specific education: Israel
| Value 89158 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 34 |
| 2 | Lowest formal qualification | 114 |
| 3 | Incompl vocational | 74 |
| 4 | Vocational completed without matriculation | 76 |
| 5 | Vocational completed with matriculation | 63 |
| 6 | Incomplete academic secondary | 81 |
| 7 | Full general without matriculation | 120 |
| 8 | Academic secondary completed | 208 |
| 9 | Yeshiva without matriculation | 17 |
| 10 | Yeshiva with matriculation | 8 |
| 11 | Semi higher, post secondary | 145 |
| 12 | Incpl university | 89 |
| 13 | University compl, BA or more | 296 |
| 0 | NAP, other countries | 35335 |
| 97 | Refused | 6 |
| 98 | DK | 1 |
| 99 | NA | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1325 | 35355 |
Valid range from 1 to 13
jp_degr Country specific education: Japan
| Value 90157 | Frequency | |
|---|---|---|
| 1 | Junior High school completed | 234 |
| 2 | High school completed | 496 |
| 3 | Junior college completed | 208 |
| 4 | Finished university | 207 |
| 5 | Still at High school | 52 |
| 6 | Still at Junior college | 23 |
| 7 | Others | 13 |
| 0 | NAP, other countries | 35427 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 20 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1233 | 35447 |
Valid range from 1 to 7
kr_degr Country specific education: South Korea
| Value 91156 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 76 |
| 2 | Elementary incompleted | 36 |
| 3 | Elementary completed | 124 |
| 4 | Middle school incompleted | 14 |
| 5 | Middle school completed | 89 |
| 6 | High school incompleted | 18 |
| 7 | High school completed | 390 |
| 8 | Junior college incompleted | 32 |
| 9 | Junior college completed | 143 |
| 10 | University incompleted | 131 |
| 11 | University completed | 309 |
| 12 | Masters degree incompleted | 8 |
| 13 | Masters degree completed | 52 |
| 14 | Doctoral degree incompleted | 1 |
| 15 | Doctoral degree completed | 6 |
| 0 | NAP, other countries | 35249 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1429 | 35251 |
Valid range from 1 to 15
lv_degr Country specific education: Latvia
| Value 92155 | Frequency | |
|---|---|---|
| 1 | Incomplete primary | 16 |
| 2 | Primary completed | 119 |
| 3 | Incompl sec, voc traing | 58 |
| 4 | Secondary completed | 288 |
| 5 | Voc with sec qualif | 372 |
| 6 | Incompl university | 53 |
| 7 | University completed | 163 |
| 0 | NAP, other countries | 35611 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1069 | 35611 |
Valid range from 1 to 7
mx_degr Country specific education: Mexico
| Value 93154 | Frequency | |
|---|---|---|
| 1 | None, still at school | 148 |
| 2 | Primary school completed | 297 |
| 3 | Technical traing without sec. qualif | 19 |
| 4 | Secondary school completed | 321 |
| 5 | Technical traing after sec. qualif | 47 |
| 6 | High school completed | 342 |
| 7 | Technical traing after high school qualif | 81 |
| 8 | University completed | 229 |
| 9 | Master, doctorate degree | 16 |
| 0 | NAP, other countries | 35073 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 107 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1500 | 35180 |
Valid range from 1 to 9
no_degr Country specific education: Norway
| Value 94153 | Frequency | |
|---|---|---|
| 1 | Primary completed | 91 |
| 2 | Secondary,vocational,incomplete | 68 |
| 3 | Secondary,academic, incomplete | 106 |
| 4 | Secondary,vocational, complete | 144 |
| 5 | Secondary,academic, complete | 208 |
| 6 | Univ, college < 1 yr | 42 |
| 7 | Univ, college 1-2 yrs | 106 |
| 8 | Univ, college 3-4 yrs | 210 |
| 9 | Univ, college >=5 yrs | 159 |
| 0 | NAP, other countries | 35537 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 9 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1134 | 35546 |
Valid range from 1 to 9
nz_degr Country specific education: New Zealand
| Value 95152 | Frequency | |
|---|---|---|
| 1 | No formal qualification | 200 |
| 2 | School qualification only | 271 |
| 3 | Trade or professional certificate | 216 |
| 4 | Diploma below Bachelor | 109 |
| 5 | Bachelor degree | 178 |
| 6 | Post-graduate qualification or higher | 0 |
| 0 | NAP, other countries | 35684 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 22 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 974 | 35706 |
Valid range from 1 to 6
ph_degr Country specific education: Philippines
| Value 96151 | Frequency | |
|---|---|---|
| 1 | No formal education | 16 |
| 2 | Incomplete primary | 139 |
| 3 | Primary completed | 144 |
| 4 | Incomplete secondary | 192 |
| 5 | Secondary completed | 309 |
| 6 | Some Vocational | 30 |
| 7 | Completed Vocational | 66 |
| 8 | Some College | 172 |
| 9 | Completed College | 128 |
| 10 | Post college | 4 |
| 0 | NAP, other countries | 35480 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 35480 |
Valid range from 1 to 10
pl_degr Country specific education: Poland
| Value 97150 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 4 |
| 2 | Incompl elementary | 26 |
| 3 | Elementary | 236 |
| 4 | Basic vocational | 309 |
| 5 | Incomplete secondary | 65 |
| 6 | Secondary general | 78 |
| 7 | Secondary vocational | 248 |
| 8 | Post secondary | 52 |
| 9 | Incomplete higher | 119 |
| 10 | Completed higher | 156 |
| 0 | NAP, other countries | 35387 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1293 | 35387 |
Valid range from 1 to 10
ru_degr Country specific education: Russia
| Value 98149 | Frequency | |
|---|---|---|
| 1 | Primary or less | 182 |
| 2 | Middle school incomplete | 102 |
| 3 | Trade school on a basis of middle school incomplete | 360 |
| 4 | Middle school complete | 104 |
| 5 | Trade school on a basis of middle school complete | 175 |
| 6 | Technical (secondary) school | 532 |
| 7 | High school incomplete | 99 |
| 8 | High school complete | 451 |
| 0 | NAP, other countries | 34675 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2005 | 34675 |
Valid range from 1 to 8
se_degr Country specific education: Sweden
| Value 99148 | Frequency | |
|---|---|---|
| 1 | Primary or comprehensive school | 255 |
| 2 | Vocational school (1972-92) | 158 |
| 3 | Vocational school (post 1992) | 59 |
| 4 | Vocational school (pre 1972) | 104 |
| 5 | Alternative secondary school | 32 |
| 6 | Lower secondary school | 48 |
| 7 | 3 or 4 year gymnasium (academic track) | 134 |
| 8 | Gymnasium (academic track post 1992) | 27 |
| 9 | Higher secondary school | 48 |
| 10 | University studies without degree | 113 |
| 11 | University degree | 296 |
| 0 | NAP, other countries | 35371 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 35 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1274 | 35406 |
Valid range from 1 to 11
si_degr Country specific education: Slovenia
| Value 100147 | Frequency | |
|---|---|---|
| 1 | Incomplete primary | 50 |
| 2 | Primary completed | 191 |
| 3 | Incomplete vocational | 16 |
| 4 | 2-3 yrs vocational | 220 |
| 5 | 4 yrs secondary school | 295 |
| 6 | Incomplete university | 37 |
| 7 | Higher degree completed | 56 |
| 8 | University completed | 123 |
| 0 | NAP, other countries | 35677 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 15 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 988 | 35692 |
Valid range from 1 to 8
tw_degr Country specific education: Taiwan
| Value 101146 | Frequency | |
|---|---|---|
| 1 | none | 151 |
| 2 | self-study | 17 |
| 3 | elementary school | 389 |
| 4 | junior high school | 265 |
| 5 | vocational junior high school | 13 |
| 6 | senior high school general | 106 |
| 7 | senior high school vocat subject | 82 |
| 8 | vocational senior high school | 396 |
| 9 | cadet school,senior high level | 5 |
| 10 | 5 yrs junior college, after junior high | 58 |
| 11 | 2 yrs junior college after vocat | 139 |
| 12 | 3 yrs junior college, after high general | 17 |
| 13 | military,police junior college, 1 year | 5 |
| 14 | military, police college, 2 years | 4 |
| 15 | open junior college | 6 |
| 16 | open college | 6 |
| 17 | military,police college | 6 |
| 18 | 2 or 4 yrs institute of techn | 103 |
| 19 | college graduate | 295 |
| 20 | master degree | 80 |
| 21 | doctorate degree, phd degree | 4 |
| 0 | NAP, other countries | 34533 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2147 | 34533 |
Valid range from 1 to 21
uy_degr Country specific education: Uruguay
| Value 102145 | Frequency | |
|---|---|---|
| 1 | None | 28 |
| 2 | Incomplete primary school | 173 |
| 3 | Completed primary school | 294 |
| 4 | Incomplete secondary | 362 |
| 5 | Completed secondary | 116 |
| 6 | Incomplete technical education | 89 |
| 7 | Completed technical education | 99 |
| 8 | Incomplete university | 107 |
| 9 | Completed university | 100 |
| 10 | Incomplete non university high education | 18 |
| 11 | Completed non university high education | 51 |
| 0 | NAP, other countries | 35243 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1437 | 35243 |
Valid range from 1 to 11
za_degr Country specific education: South Africa
| Value 103144 | Frequency | |
|---|---|---|
| 1 | Grade 0 or Grade R | 184 |
| 2 | Sub A or Grade 1 | 7 |
| 3 | Sub B or Grade 2 | 25 |
| 4 | Grade 3 or Standard 1 | 46 |
| 5 | Grade 4 or Standard 2 | 58 |
| 6 | Grade 5 or Standard 3 | 80 |
| 7 | Grade 6 or Standard 4 | 132 |
| 8 | Grade 7 or Standard 5 | 171 |
| 9 | Grade 8 or Standard 6 or Form 1 | 244 |
| 10 | Grade 9 or Standard 7 or Form 2 | 215 |
| 11 | Grade 10 or Standard 8 or Form 3 | 327 |
| 12 | Grade 11 or Standard 9 or Form 4 | 324 |
| 13 | Grade 12 or Standard 10 or Form 5 or Matric | 771 |
| 17 | Diploma or certificate with less than Grade 12 or Std 10 | 27 |
| 18 | Diploma or certificate with Grade 12 or Std 10 | 141 |
| 19 | Degree | 75 |
| 20 | Postgraduate degree or diploma | 59 |
| 21 | Other | 10 |
| 0 | NAP, other countries | 33773 |
| 97 | Refused | 0 |
| 98 | DK | 5 |
| 99 | NA | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2896 | 33784 |
Valid range from 1 to 21
wrkst R: Current employment status
| Value 104143 | Frequency | |
|---|---|---|
| 1 | Employed-full time | 16097 |
| 2 | Employed-part time | 3378 |
| 3 | Empl-< part-time | 784 |
| 4 | Helpg family member | 413 |
| 5 | Unemployed | 2761 |
| 6 | Studt,school,vocat.traing | 2236 |
| 7 | Retired | 6302 |
| 8 | Housewife,-man,home duties | 3057 |
| 9 | Permanently disabled | 747 |
| 10 | Other,not in labour force | 441 |
| 97 | Refused | 11 |
| 98 | Dont know | 5 |
| 99 | NA | 448 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36216 | 464 |
Valid range from 1 to 10
wrkhrs R: Hours worked weekly
| Value 105142 | Frequency | |
|---|---|---|
| 1 | 5 | |
| 2 | 11 | |
| 3 | 23 | |
| 4 | 35 | |
| 5 | 47 | |
| 6 | 52 | |
| 7 | 32 | |
| 8 | 134 | |
| 9 | 41 | |
| 10 | 159 | |
| 11 | 15 | |
| 12 | 99 | |
| 13 | 12 | |
| 14 | 57 | |
| 15 | 163 | |
| 16 | 87 | |
| 17 | 23 | |
| 18 | 92 | |
| 19 | 32 | |
| 20 | 561 | |
| 21 | 58 | |
| 22 | 58 | |
| 23 | 39 | |
| 24 | 201 | |
| 25 | 270 | |
| 26 | 47 | |
| 27 | 42 | |
| 28 | 147 | |
| 29 | 18 | |
| 30 | 883 | |
| 31 | 17 | |
| 32 | 201 | |
| 33 | 43 | |
| 34 | 54 | |
| 35 | 841 | |
| 36 | 336 | |
| 37 | 318 | |
| 38 | 741 | |
| 39 | 157 | |
| 40 | 4783 | |
| 41 | 58 | |
| 42 | 620 | |
| 43 | 168 | |
| 44 | 297 | |
| 45 | 1309 | |
| 46 | 107 | |
| 47 | 44 | |
| 48 | 1189 | |
| 49 | 47 | |
| 50 | 1661 | |
| 51 | 14 | |
| 52 | 69 | |
| 53 | 20 | |
| 54 | 114 | |
| 55 | 257 | |
| 56 | 258 | |
| 57 | 17 | |
| 58 | 21 | |
| 59 | 4 | |
| 60 | 1062 | |
| 61 | 3 | |
| 62 | 18 | |
| 63 | 36 | |
| 64 | 24 | |
| 65 | 102 | |
| 66 | 35 | |
| 67 | 7 | |
| 68 | 15 | |
| 70 | 377 | |
| 71 | 4 | |
| 72 | 165 | |
| 73 | 1 | |
| 74 | 6 | |
| 75 | 43 | |
| 76 | 6 | |
| 77 | 16 | |
| 78 | 30 | |
| 80 | 120 | |
| 81 | 2 | |
| 82 | 7 | |
| 83 | 1 | |
| 84 | 147 | |
| 85 | 12 | |
| 86 | 6 | |
| 88 | 1 | |
| 90 | 42 | |
| 91 | 9 | |
| 92 | 1 | |
| 93 | 2 | |
| 94 | 3 | |
| 95 | 4 | |
| 96 | 96 and more | 162 |
| 0 | NAV;NAP | 12484 |
| 97 | Refused | 38 |
| 98 | DK,cant say,varies too much | 427 |
| 99 | NA | 4054 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 19677 | 17003 |
Valid range from 1 to 96
isco88 R: Occupation ILO,ISCO 1988 4-digit
| Value 106141 | Frequency | |
|---|---|---|
| 100 | ARMED FORCES | 122 |
| 110 | Soldiers | 27 |
| 112 | Officers | 3 |
| 1000 | LEGISLATORS, SENIOR OFFICIALS AND MANAGERS | 60 |
| 1100 | LEGISLATORS AND SENIOR OFFICIALS | 11 |
| 1110 | LEGISLATORS | 19 |
| 1120 | SENIOR GOVERNMENT OFFICIALS | 46 |
| 1130 | TRADITIONAL CHIEFS AND HEADS OF VILLAGES | 11 |
| 1140 | SENIOR OFFICIALS OF SPECIAL-INTEREST ORGANISATIONS | 1 |
| 1141 | Senior officials of political-party organisations | 1 |
| 1142 | Senior officials of employers´, workers´ and other economic- | 3 |
| 1143 | Senior officials of humanitarian and other special-interest | 6 |
| 1200 | CORPORATE MANAGERS (This group is intended to include person | 13 |
| 1210 | DIRECTORS AND CHIEF EXECUTIVES | 276 |
| 1220 | PRODUCTION AND OPERATIONS DEPARTMENT MANAGERS | 108 |
| 1221 | Production and operations department managers in agriculture | 8 |
| 1222 | Production and operations department managers in manufacturi | 76 |
| 1223 | Production and operations department managers in constructio | 43 |
| 1224 | Production and operations department managers in wholesale a | 17 |
| 1225 | Production and operations department managers in restaurants | 11 |
| 1226 | Production and operations department managers in transport, | 16 |
| 1227 | Production and operations department managers in business se | 11 |
| 1228 | Production and operations department managers in personal ca | 4 |
| 1229 | Production and operations department managers not elsewhere | 190 |
| 1230 | OTHER DEPARTMENT MANAGERS | 106 |
| 1231 | Finance and administration department managers | 72 |
| 1232 | Personnel and industrial relations department managers | 53 |
| 1233 | Sales and marketing department managers | 58 |
| 1234 | Advertising and public relations department managers | 22 |
| 1235 | Supply and distribution department managers | 17 |
| 1236 | Computing services department managers | 15 |
| 1237 | Research and development department managers | 15 |
| 1239 | Other department managers not elsewhere classified | 81 |
| 1240 | US:Misc.office supervisors | 44 |
| 1250 | PL,RU:Military officer | 1 |
| 1251 | PL,RU:High-grade military officer | 7 |
| 1252 | PL,RU:Low-grade commissioned officer | 7 |
| 1300 | GENERAL MANAGERS (This group is intended to include persons | 10 |
| 1310 | GENERAL MANAGERS | 213 |
| 1311 | General managers in agriculture, hunting, forestry/ and fish | 25 |
| 1312 | General managers in manufacturing | 64 |
| 1313 | General managers in construction | 57 |
| 1314 | General managers in wholesale and retail trade | 198 |
| 1315 | General managers of restaurants and hotels | 89 |
| 1316 | General managers in transport, storage and communications | 34 |
| 1317 | General managers of business services | 39 |
| 1318 | General managers in personal care, cleaning and related serv | 26 |
| 1319 | General managers not elsewhere classified | 217 |
| 1320 | Managers in non-specific trade areas | 4 |
| 2000 | PROFESSIONALS | 155 |
| 2100 | PHYSICAL, MATHEMATICAL AND ENGINEERING SCIENCE PROFESSIONALS | 25 |
| 2110 | PHYSICISTS, CHEMISTS AND RELATED PROFESSIONALS | 11 |
| 2111 | Physicists and astronomers | 4 |
| 2112 | Meteorologists | 1 |
| 2113 | Chemists | 23 |
| 2114 | Geologists and geophysicists | 11 |
| 2120 | MATHEMATICIANS, STATISTICIANS AND RELATED PROFESSIONALS | 3 |
| 2121 | Mathematicians and related professionals | 3 |
| 2122 | Statisticians | 2 |
| 2130 | COMPUTING PROFESSIONALS | 57 |
| 2131 | Computer systems designers and analysts | 52 |
| 2132 | Computer programmers | 54 |
| 2139 | Computing professionals not elsewhere classified | 30 |
| 2140 | ARCHITECTS, ENGINEERS AND RELATED PROFESSIONALS | 162 |
| 2141 | Architects, town and traffic planners | 43 |
| 2142 | Civil engineers | 70 |
| 2143 | Electrical engineers | 30 |
| 2144 | Electronics and telecommunications engineers | 38 |
| 2145 | Mechanical engineers | 55 |
| 2146 | Chemical engineers | 11 |
| 2147 | Mining engineers, metallurgists and related professionals | 19 |
| 2148 | Cartographers and surveyors | 16 |
| 2149 | Architects, engineers and related professionals not elsewher | 68 |
| 2200 | LIFE SCIENCE AND HEALTH PROFESSIONALS | 0 |
| 2210 | LIFE SCIENCE PROFESSIONALS | 15 |
| 2211 | Biologists, botanists, zoologists and related professionals | 18 |
| 2212 | Pharmacologists, pathologists and related professionals | 18 |
| 2213 | Agronomists and related professionals | 15 |
| 2220 | HEALTH PROFESSIONALS (except nursing) | 58 |
| 2221 | Medical doctors | 119 |
| 2222 | Dentists | 45 |
| 2223 | Veterinarians | 30 |
| 2224 | Pharmacists | 20 |
| 2229 | Health professionals (except nursing) not elsewhere classifi | 33 |
| 2230 | NURSING AND MIDWIFERY PROFESSIONALS | 221 |
| 2300 | TEACHING PROFESSIONALS | 77 |
| 2310 | COLLEGE, UNIVERSITY AND HIGHER EDUCATION TEACHING PROFESSION | 195 |
| 2320 | SECONDARY EDUCATION TEACHING PROFESSIONALS | 434 |
| 2321 | HU:Secondary (high)-school teacher | 32 |
| 2322 | HU:Teacher in vocational training | 2 |
| 2330 | PRIMARY AND PRE-PRIMARY EDUCATION TEACHING PROFESSIONALS | 35 |
| 2331 | Primary education teaching professionals | 316 |
| 2332 | Pre-primary education teaching professionals | 89 |
| 2340 | SPECIAL EDUCATION TEACHING PROFESSIONALS | 42 |
| 2350 | OTHER TEACHING PROFESSIONALS | 22 |
| 2351 | Education methods specialists | 8 |
| 2352 | School inspectors | 3 |
| 2359 | Other teaching professionals not elsewhere classified | 82 |
| 2400 | OTHER PROFESSIONALS | 1 |
| 2410 | BUSINESS PROFESSIONALS | 22 |
| 2411 | Accountants | 190 |
| 2412 | Personnel and careers professionals | 42 |
| 2419 | Business professionals not elsewhere classified | 132 |
| 2420 | LEGAL PROFESSIONALS | 25 |
| 2421 | Lawyers | 66 |
| 2422 | Judges | 13 |
| 2429 | Legal professionals not elsewhere classified | 37 |
| 2430 | ARCHIVISTS, LIBRARIANS AND RELATED INFORMATION PROFESSIONALS | 12 |
| 2431 | Archivists and curators | 10 |
| 2432 | Librarians and related information professionals | 22 |
| 2440 | SOCIAL SCIENCE AND RELATED PROFESSIONALS | 37 |
| 2441 | Economists | 66 |
| 2442 | Sociologists, anthropologists and related professionals | 12 |
| 2443 | Philosophers, historians and political scientists | 4 |
| 2444 | Philologists, translators and interpreters | 18 |
| 2445 | Psychologists | 31 |
| 2446 | Social work professionals | 68 |
| 2450 | WRITERS AND CREATIVE OR PERFORMING ARTISTS | 37 |
| 2451 | Authors, journalists and other writers | 60 |
| 2452 | Sculptors, painters and related artists | 27 |
| 2453 | Composers, musicians and singers | 18 |
| 2454 | Choreographers and dancers | 4 |
| 2455 | Film, stage and related actors and directors | 16 |
| 2460 | RELIGIOUS PROFESSIONALS | 31 |
| 2470 | Public service administrative prof | 39 |
| 3000 | TECHNICIANS AND ASSOCIATE PROFESSIONALS | 126 |
| 3100 | PHYSICAL AND ENGINEERING SCIENCE ASSOCIATE PROFESSIONALS | 9 |
| 3110 | PHYSICAL AND ENGINEERING SCIENCE TECHNICIANS | 107 |
| 3111 | Chemical and physical science technicians | 27 |
| 3112 | Civil engineering technicians | 88 |
| 3113 | Electrical engineering technicians | 53 |
| 3114 | Electronics and telecommunications engineering technicians | 85 |
| 3115 | Mechanical engineering technicians | 66 |
| 3116 | Chemical engineering technicians | 27 |
| 3117 | Mining and metallurgical technicians | 11 |
| 3118 | Draughtspersons | 46 |
| 3119 | Physical and engineering science technicians not elsewhere c | 101 |
| 3120 | COMPUTER ASSOCIATE PROFESSIONALS | 35 |
| 3121 | Computer assistants | 54 |
| 3122 | Computer equipment operators | 28 |
| 3123 | Industrial robot controllers | 5 |
| 3130 | OPTICAL AND ELECTRONIC EQUIPMENT OPERATORS | 2 |
| 3131 | Photographers and image and sound recording equipment operat | 26 |
| 3132 | Broadcasting and telecommunications equipment operators | 14 |
| 3133 | Medical equipment operators | 17 |
| 3139 | Optical and electronic equipment operators not elsewhere cla | 4 |
| 3140 | SHIP AND AIRCRAFT CONTROLLERS AND TECHNICIANS | 7 |
| 3141 | Ships´ engineers | 5 |
| 3142 | Ships´ deck officers and pilots | 12 |
| 3143 | Aircraft pilots and related associate professionals | 14 |
| 3144 | Air traffic controllers | 5 |
| 3145 | Air traffic safety technicians | 4 |
| 3150 | SAFETY AND QUALITY INSPECTORS | 13 |
| 3151 | Building and fire inspectors | 4 |
| 3152 | Safety, health and quality inspectors | 78 |
| 3200 | LIFE SCIENCE AND HEALTH ASSOCIATE PROFESSIONALS | 0 |
| 3210 | LIFE SCIENCE TECHNICIANS AND RELATED ASSOCIATE PROFESSIONALS | 12 |
| 3211 | Life science technicians | 31 |
| 3212 | Agronomy and forestry technicians | 21 |
| 3213 | Farming and forestry advisers | 0 |
| 3220 | MODERN HEALTH ASSOCIATE PROFESSIONALS (except nursing) | 35 |
| 3221 | Medical assistants | 69 |
| 3222 | Sanitarians | 12 |
| 3223 | Dieticians and nutritionists | 9 |
| 3224 | Optometrists and opticians | 10 |
| 3225 | Dental assistants | 22 |
| 3226 | Physiotherapists and related associate professionals | 54 |
| 3227 | Veterinary assistants | 5 |
| 3228 | Pharmaceutical assistants | 16 |
| 3229 | Modern health associate professionals (except nursing) not e | 37 |
| 3230 | NURSING AND MIDWIFERY ASSOCIATE PROFESSIONALS | 104 |
| 3231 | Nursing associate professionals | 195 |
| 3232 | Midwifery associate professionals | 1 |
| 3240 | TRADITIONAL MEDICINE PRACTITIONERS AND FAITH HEALERS | 1 |
| 3241 | Traditional medicine practitioners | 1 |
| 3242 | Faith healers | 1 |
| 3300 | TEACHING ASSOCIATE PROFESSIONALS | 5 |
| 3310 | PRIMARY EDUCATION TEACHING ASSOCIATE PROFESSIONALS | 171 |
| 3320 | PRE-PRIMARY EDUCATION TEACHING ASSOCIATE PROFESSIONALS | 104 |
| 3330 | SPECIAL EDUCATION TEACHING ASSOCIATE PROFESSIONALS | 27 |
| 3340 | OTHER TEACHING ASSOCIATE PROFESSIONALS | 163 |
| 3341 | Teachers in technical college | 1 |
| 3400 | OTHER ASSOCIATE PROFESSIONALS | 13 |
| 3410 | FINANCE AND SALES ASSOCIATE PROFESSIONALS | 139 |
| 3411 | Securities and finance dealers and brokers | 47 |
| 3412 | Insurance representatives | 71 |
| 3413 | Estate agents | 70 |
| 3414 | Travel consultants and organisers | 18 |
| 3415 | Technical and commercial sales representatives | 267 |
| 3416 | Buyers | 49 |
| 3417 | Appraisers, valuers and auctioneers | 10 |
| 3418 | Customer consultant in a bank | 1 |
| 3419 | Finance and sales associate professionals not elsewhere clas | 82 |
| 3420 | BUSINESS SERVICES AGENTS AND TRADE BROKERS | 11 |
| 3421 | Trade brokers | 16 |
| 3422 | Clearing and forwarding agents | 21 |
| 3423 | Employment agents and labour contractors | 11 |
| 3429 | Business services agents and trade brokers not elsewhere cla | 25 |
| 3430 | ADMINISTRATIVE ASSOCIATE PROFESSIONALS | 97 |
| 3431 | Administrative secretaries and related associate professiona | 182 |
| 3432 | Legal and related business associate professionals | 34 |
| 3433 | Bookkeepers | 266 |
| 3434 | Statistical, mathematical and related associate professional | 7 |
| 3439 | Administrative associate professionals not elsewhere classif | 176 |
| 3440 | CUSTOMS, TAX AND RELATED GOVERNMENT ASSOCIATE PROFESSIONALS | 63 |
| 3441 | Customs and border inspectors | 13 |
| 3442 | Government tax and excise officials | 10 |
| 3443 | Government social benefits officials | 9 |
| 3444 | Government licensing officials | 5 |
| 3445 | Public employment service worker | 10 |
| 3449 | Customs, tax and related government associate professionals | 37 |
| 3450 | POLICE INSPECTORS AND DETECTIVES | 57 |
| 3452 | PL,RU:Armed forces non-commiss. officer | 6 |
| 3460 | SOCIAL WORK ASSOCIATE PROFESSIONALS | 115 |
| 3470 | ARTISTIC, ENTERTAINMENT AND SPORTS ASSOCIATE PROFESSIONALS | 31 |
| 3471 | Decorators and commercial designers | 67 |
| 3472 | Radio, television and other announcers | 7 |
| 3473 | Street, night-club and related musicians, singers and dancer | 15 |
| 3474 | Clowns, magicians, acrobats and related associate profession | 5 |
| 3475 | Athletes, sportspersons and related associate professionals | 36 |
| 3480 | RELIGIOUS ASSOCIATE PROFESSIONALS | 9 |
| 3492 | Librarians | 1 |
| 4000 | CLERKS | 175 |
| 4100 | OFFICE CLERKS | 138 |
| 4110 | SECRETARIES AND KEYBOARD-OPERATING CLERKS | 164 |
| 4111 | Stenographers and typists | 16 |
| 4112 | Word-processor and related operators | 39 |
| 4113 | Data entry operators | 44 |
| 4114 | Calculating-machine operators | 17 |
| 4115 | Secretaries | 309 |
| 4120 | NUMERICAL CLERKS | 82 |
| 4121 | Accounting and bookkeeping clerks | 293 |
| 4122 | Statistical and finance clerks | 124 |
| 4130 | MATERIAL-RECORDING AND TRANSPORT CLERKS | 35 |
| 4131 | Stock clerks | 226 |
| 4132 | Production clerks | 42 |
| 4133 | Transport clerks | 65 |
| 4140 | LIBRARY, MAIL AND RELATED CLERKS | 38 |
| 4141 | Library and filing clerks | 47 |
| 4142 | Mail carriers and sorting clerks | 88 |
| 4143 | Coding, proof-reading and related clerks | 12 |
| 4144 | Scribes and related workers | 6 |
| 4190 | OTHER OFFICE CLERKS | 507 |
| 4200 | CUSTOMER SERVICES CLERKS | 66 |
| 4210 | CASHIERS, TELLERS AND RELATED CLERKS | 162 |
| 4211 | Cashiers and ticket clerks | 124 |
| 4212 | Tellers and other counter clerks | 63 |
| 4213 | Bookmakers and croupiers | 18 |
| 4214 | Pawnbrokers and money-lenders | 3 |
| 4215 | Debt-collectors and related workers | 17 |
| 4220 | CLIENT INFORMATION CLERKS | 35 |
| 4221 | Travel agency and related clerks | 7 |
| 4222 | Receptionists and information clerks | 182 |
| 4223 | Telephone switchboard operators | 35 |
| 4300 | Office helping workers | 4 |
| 5000 | SERVICE WORKERS AND SHOP AND MARKET SALES WORKERS | 204 |
| 5100 | PERSONAL AND PROTECTIVE SERVICES WORKERS | 3 |
| 5110 | TRAVEL ATTENDANTS AND RELATED WORKERS | 5 |
| 5111 | Travel attendants and travel stewards | 26 |
| 5112 | Transport conductors | 17 |
| 5113 | Travel guides | 22 |
| 5120 | HOUSEKEEPING AND RESTAURANT SERVICES WORKERS | 121 |
| 5121 | Housekeepers and related workers | 54 |
| 5122 | Cooks | 399 |
| 5123 | Waiters, waitresses and bartenders | 346 |
| 5130 | PERSONAL CARE AND RELATED WORKERS | 310 |
| 5131 | Child-care workers | 236 |
| 5132 | Institution-based personal care workers | 197 |
| 5133 | Home-based personal care workers | 58 |
| 5139 | Personal care and related workers not elsewhere classified | 31 |
| 5140 | OTHER PERSONAL SERVICES WORKERS | 23 |
| 5141 | Hairdressers, barbers, beauticians and related workers | 244 |
| 5142 | Companions and valets | 32 |
| 5143 | Undertakers and embalmers | 10 |
| 5149 | Other personal services workers not elsewhere classified | 48 |
| 5150 | ASTROLOGERS, FORTUNE-TELLERS AND RELATED WORKERS | 0 |
| 5151 | Astrologers and related workers | 2 |
| 5152 | Fortune-tellers, palmists and related workers | 1 |
| 5160 | PROTECTIVE SERVICES WORKERS | 38 |
| 5161 | Fire-fighters | 31 |
| 5162 | Police officers | 84 |
| 5163 | Prison guards | 13 |
| 5164 | Caretakers, houseporters | 27 |
| 5169 | Protective services workers not elsewhere classified | 131 |
| 5200 | MODELS, SALESPERSONS AND DEMONSTRATORS | 38 |
| 5210 | FASHION AND OTHER MODELS | 9 |
| 5220 | SHOP SALESPERSONS AND DEMONSTRATORS | 1237 |
| 5221 | Shop staff, sales staff+other | 130 |
| 5222 | Door-to-door+telephone salesmen | 90 |
| 5223 | Wholesale merchants | 17 |
| 5230 | STALL AND MARKET SALESPERSONS | 152 |
| 6000 | SKILLED AGRICULTURAL AND FISHERY WORKERS | 30 |
| 6100 | MARKET-ORIENTED SKILLED AGRICULTURAL AND FISHERY WORKERS | 90 |
| 6110 | MARKET GARDENERS AND CROP GROWERS | 37 |
| 6111 | Field crop and vegetable growers | 215 |
| 6112 | Tree and shrub crop growers | 45 |
| 6113 | Gardeners, horticultural and nursery growers | 66 |
| 6114 | Mixed-crop growers | 44 |
| 6120 | MARKET-ORIENTED ANIMAL PRODUCERS AND RELATED WORKERS | 19 |
| 6121 | Dairy and livestock producers | 131 |
| 6122 | Poultry producers | 13 |
| 6123 | Apiarists and sericulturists | 4 |
| 6124 | Mixed-animal producers | 18 |
| 6129 | Market-oriented animal producers and related workers not els | 40 |
| 6130 | MARKET-ORIENTED CROP AND ANIMAL PRODUCERS | 213 |
| 6132 | US: Farmers | 118 |
| 6133 | US: Farm supervisors | 3 |
| 6140 | FORESTRY AND RELATED WORKERS | 103 |
| 6141 | Forestry workers and loggers | 30 |
| 6142 | Charcoal burners and related workers | 0 |
| 6150 | FISHERY WORKERS, HUNTERS AND TRAPPERS | 18 |
| 6151 | Aquatic-life cultivation workers | 3 |
| 6152 | Inland and coastal waters fishery workers | 28 |
| 6153 | Deep-sea fishery workers | 2 |
| 6154 | Hunters and trappers | 0 |
| 6200 | SUBSISTENCE AGRICULTURAL AND FISHERY WORKERS | 0 |
| 6210 | SUBSISTENCE AGRICULTURAL AND FISHERY WORKERS | 72 |
| 7000 | CRAFT AND RELATED TRADES WORKERS | 271 |
| 7100 | EXTRACTION AND BUILDING TRADES WORKERS | 3 |
| 7110 | MINERS, SHOTFIRERS, STONE CUTTERS AND CARVERS | 4 |
| 7111 | Miners and quarry workers | 46 |
| 7112 | Shotfirers and blasters | 2 |
| 7113 | Stone splitters, cutters and carvers | 4 |
| 7120 | BUILDING FRAME AND RELATED TRADES WORKERS | 65 |
| 7121 | Builders, traditional materials | 118 |
| 7122 | Bricklayers and stonemasons | 154 |
| 7123 | Concrete placers, concrete finishers and related workers | 22 |
| 7124 | Carpenters and joiners | 143 |
| 7126 | Carpenters | 14 |
| 7129 | Building frame and related trades workers not elsewhere clas | 83 |
| 7130 | BUILDING FINISHERS AND RELATED TRADES WORKERS | 43 |
| 7131 | Roofers | 18 |
| 7132 | Floor layers and tile setters | 18 |
| 7133 | Plasterers | 34 |
| 7134 | Insulation workers | 4 |
| 7135 | Glaziers | 11 |
| 7136 | Plumbers and pipe fitters | 122 |
| 7137 | Building and related electricians | 110 |
| 7139 | Building finishers+rel.trade workers | 1 |
| 7140 | PAINTERS, BUILDING STRUCTURE CLEANERS AND RELATED TRADES WOR | 13 |
| 7141 | Painters and related workers | 112 |
| 7142 | Varnishers and related painters | 26 |
| 7143 | Building structure cleaners | 3 |
| 7200 | METAL, MACHINERY AND RELATED TRADES WORKERS | 11 |
| 7210 | METAL MOULDERS, WELDERS, SHEET-METAL WORKERS, STRUCTURAL- ME | 19 |
| 7211 | Metal moulders and coremakers | 16 |
| 7212 | Welders and flamecutters | 107 |
| 7213 | Sheet metal workers | 38 |
| 7214 | Structural-metal preparers and erectors | 55 |
| 7215 | Riggers and cable splicers | 2 |
| 7216 | Underwater workers | 0 |
| 7220 | BLACKSMITHS, TOOL-MAKERS AND RELATED TRADES WORKERS | 34 |
| 7221 | Blacksmiths, hammer-smiths and forging-press workers | 23 |
| 7222 | Tool-makers and related workers | 82 |
| 7223 | Machine-tool setters and setter-operators | 44 |
| 7224 | Metal wheel-grinders, polishers and tool sharpeners | 36 |
| 7230 | MACHINERY MECHANICS AND FITTERS | 47 |
| 7231 | Motor vehicle mechanics and fitters | 247 |
| 7232 | Aircraft engine mechanics and fitters | 10 |
| 7233 | Agricultural- or industrial-machinery mechanics and fitters | 107 |
| 7240 | ELECTRICAL AND ELECTRONIC EQUIPMENT MECHANICS AND FITTERS | 31 |
| 7241 | Electrical mechanics and fitters | 118 |
| 7242 | Electronics fitters | 19 |
| 7243 | Electronics mechanics and servicers | 20 |
| 7244 | Telegraph and telephone installers and servicers | 30 |
| 7245 | Electrical line installers, repairers and cable jointers | 59 |
| 7300 | PRECISION, HANDICRAFT, PRINTING AND RELATED TRADES WORKERS | 5 |
| 7310 | PRECISION WORKERS IN METAL AND RELATED MATERIALS | 3 |
| 7311 | Precision-instrument makers and repairers | 22 |
| 7312 | Musical instrument makers and tuners | 3 |
| 7313 | Jewellery and precious-metal workers | 15 |
| 7320 | POTTERS, GLASS-MAKERS AND RELATED TRADES WORKERS | 0 |
| 7321 | Abrasive wheel formers, potters and related workers | 7 |
| 7322 | Glass makers, cutters, grinders and finishers | 17 |
| 7323 | Glass engravers and etchers | 0 |
| 7324 | Glass, ceramics and related decorative painters | 6 |
| 7330 | HANDICRAFT WORKERS IN WOOD,TEXTILE, LEATHER AND RELATED MATE | 4 |
| 7331 | Handicraft workers in wood and related materials | 37 |
| 7332 | Handicraft workers in textile, leather and related materials | 9 |
| 7340 | PRINTING AND RELATED TRADES WORKERS | 9 |
| 7341 | Compositors, typesetters and related workers | 18 |
| 7342 | Stereotypers and electrotypers | 7 |
| 7343 | Printing engravers and etchers | 4 |
| 7344 | Photographic and related workers | 8 |
| 7345 | Bookbinders and related workers | 7 |
| 7346 | Silk-screen, block and textile printers | 0 |
| 7400 | OTHER CRAFT AND RELATED TRADES WORKERS | 4 |
| 7410 | FOOD PROCESSING AND RELATED TRADES WORKERS | 27 |
| 7411 | Butchers, fishmongers and related food preparers | 89 |
| 7412 | Bakers, pastry-cooks and confectionery makers | 115 |
| 7413 | Dairy-products makers | 8 |
| 7414 | Fruit, vegetable and related preservers | 17 |
| 7415 | Food and beverage tasters and graders | 3 |
| 7416 | Tobacco preparers and tobacco products makers | 6 |
| 7420 | WOOD TREATERS, CABINET-MAKERS AND RELATED TRADES WORKERS | 8 |
| 7421 | Wood treaters | 6 |
| 7422 | Cabinet makers and related workers | 88 |
| 7423 | Woodworking machine setters and setter-operators | 6 |
| 7424 | Basketry weavers, brush makers and related workers | 3 |
| 7430 | TEXTILE, GARMENT AND RELATED TRADES WORKERS | 37 |
| 7431 | Fibre preparers | 11 |
| 7432 | Weavers, knitters and related workers | 41 |
| 7433 | Tailors, dressmakers and hatters | 162 |
| 7434 | Furriers and related workers | 3 |
| 7435 | Textile, leather and related pattern-makers and cutters | 18 |
| 7436 | Sewers, embroiderers and related workers | 140 |
| 7437 | Upholsterers and related workers | 11 |
| 7440 | PELT, LEATHER AND SHOEMAKING TRADES WORKERS | 1 |
| 7441 | Pelt dressers, tanners and fellmongers | 4 |
| 7442 | Shoe-makers and related workers | 32 |
| 7450 | Laboratory assistants | 4 |
| 7500 | Metal worker general | 8 |
| 7510 | Metal worker nec | 8 |
| 7520 | Electronics engineers nec | 30 |
| 7900 | Master craftsmen,supervisor | 1 |
| 8000 | PLANT AND MACHINE OPERATORS AND ASSEMBLERS | 193 |
| 8100 | STATIONARY-PLANT AND RELATED OPERATORS | 1 |
| 8110 | MINING- AND MINERAL-PROCESSING-PLANT OPERATORS | 1 |
| 8111 | Mining-plant operators | 9 |
| 8112 | Mineral-ore- and stone-processing-plant operators | 3 |
| 8113 | Well drillers and borers and related workers | 8 |
| 8120 | METAL-PROCESSING-PLANT OPERATORS | 10 |
| 8121 | Ore and metal furnace operators | 8 |
| 8122 | Metal melters, casters and rolling-mill operators | 16 |
| 8123 | Metal-heat-treating-plant operators | 6 |
| 8124 | Metal drawers and extruders | 9 |
| 8130 | GLASS, CERAMICS AND RELATED PLANT OPERATORS | 1 |
| 8131 | Glass and ceramics kiln and related machine operators | 5 |
| 8139 | Glass, ceramics and related plant operators not elsewhere cl | 2 |
| 8140 | WOOD-PROCESSING- AND PAPERMAKING-PLANT OPERATORS | 13 |
| 8141 | Wood-processing-plant operators | 30 |
| 8142 | Paper-pulp plant operators | 1 |
| 8143 | Papermaking-plant operators | 10 |
| 8150 | CHEMICAL-PROCESSING-PLANT OPERATORS | 6 |
| 8151 | Crushing-, grinding- and chemical-mixing-machinery operators | 1 |
| 8152 | Chemical-heat-treating-plant operators | 2 |
| 8153 | Chemical-filtering- and separating-equipment operators | 1 |
| 8154 | Chemical-still and reactor operators (except petroleum and n | 1 |
| 8155 | Petroleum- and natural-gas-refining-plant operators | 8 |
| 8159 | Chemical-processing-plant operators not elsewhere classified | 7 |
| 8160 | POWER-PRODUCTION AND RELATED PLANT OPERATORS | 10 |
| 8161 | Power-production plant operators | 11 |
| 8162 | Steam-engine and boiler operators | 14 |
| 8163 | Incinerator, water-treatment and related plant operators | 7 |
| 8170 | AUTOMATED-ASSEMBLY-LINE AND INDUSTRIAL-ROBOT OPERATORS | 2 |
| 8171 | Automated-assembly-line operators | 12 |
| 8172 | Industrial-robot operators | 5 |
| 8200 | MACHINE OPERATORS AND ASSEMBLERS | 3 |
| 8210 | METAL- AND MINERAL-PRODUCTS MACHINE OPERATORS | 8 |
| 8211 | Machine-tool operators | 75 |
| 8212 | Cement and other mineral products machine operators | 10 |
| 8220 | CHEMICAL-PRODUCTS MACHINE OPERATORS | 7 |
| 8221 | Pharmaceutical- and toiletry-products machine operators | 8 |
| 8222 | Ammunition- and explosive-products machine operators | 4 |
| 8223 | Metal finishing-, plating- and coating-machine operators | 12 |
| 8224 | Photographic-products machine operators | 2 |
| 8229 | Chemical-products machine operators not elsewhere classified | 9 |
| 8230 | RUBBER- AND PLASTIC-PRODUCTS MACHINE OPERATORS | 1 |
| 8231 | Rubber-products machine operators | 15 |
| 8232 | Plastic-products machine operators | 30 |
| 8240 | WOOD-PRODUCTS MACHINE OPERATORS | 17 |
| 8250 | PRINTING-, BINDING- AND PAPER-PRODUCTS MACHINE OPERATORS | 15 |
| 8251 | Printing-machine operators | 20 |
| 8252 | Bookbinding-machine operators | 1 |
| 8253 | Paper-products machine operators | 7 |
| 8260 | TEXTILE-, FUR- AND LEATHER-PRODUCTS MACHINE OPERATORS | 9 |
| 8261 | Fibre-preparing-, spinning- and winding-machine operators | 13 |
| 8262 | Weaving- and knitting-machine operators | 17 |
| 8263 | Sewing-machine operators | 44 |
| 8264 | Bleaching-, dyeing- and cleaning-machine operators | 17 |
| 8265 | Fur and leather-preparing-machine operators | 3 |
| 8266 | Shoemaking- and related machine operators | 4 |
| 8269 | Textile-, fur- and leather-products machine operators not el | 7 |
| 8270 | FOOD AND RELATED PRODUCTS MACHINE OPERATORS | 16 |
| 8271 | Meat- and fish-processing-machine operators | 34 |
| 8272 | Dairy-products machine operators | 3 |
| 8273 | Grain- and spice-milling-machine operators | 2 |
| 8274 | Baked-goods, cereal and chocolate-products machine operators | 9 |
| 8275 | Fruit-, vegetable- and nut-processing-machine operators | 4 |
| 8276 | Sugar production machine operators | 1 |
| 8277 | Tea-, coffee-, and cocoa-processing-machine operators | 0 |
| 8278 | Brewers, wine and other beverage machine operators | 8 |
| 8279 | Tobacco production machine operators | 2 |
| 8280 | ASSEMBLERS | 34 |
| 8281 | Mechanical-machinery assemblers | 27 |
| 8282 | Electrical-equipment assemblers | 12 |
| 8283 | Electronic-equipment assemblers | 33 |
| 8284 | Metal-, rubber- and plastic-products assemblers | 23 |
| 8285 | Wood and related products assemblers | 7 |
| 8286 | Paperboard, textile and related products assemblers | 6 |
| 8290 | OTHER MACHINE OPERATORS AND ASSEMBLERS | 78 |
| 8300 | DRIVERS AND MOBILE-PLANT OPERATORS | 0 |
| 8310 | LOCOMOTIVE-ENGINE DRIVERS AND RELATED WORKERS | 8 |
| 8311 | Locomotive-engine drivers | 19 |
| 8312 | Railway brakers, signallers and shunters | 21 |
| 8320 | MOTOR-VEHICLE DRIVERS | 113 |
| 8321 | Motor-cycle drivers | 64 |
| 8322 | Car, taxi and van drivers | 295 |
| 8323 | Bus and tram drivers | 119 |
| 8324 | Heavy-truck and lorry drivers | 268 |
| 8330 | AGRICULTURAL AND OTHER MOBILE-PLANT OPERATORS | 29 |
| 8331 | Motorised farm and forestry plant operators | 41 |
| 8332 | Earth-moving- and related plant operators | 55 |
| 8333 | Crane, hoist and related plant operators | 69 |
| 8334 | Lifting-truck operators | 28 |
| 8340 | SHIPS´ DECK CREWS AND RELATED WORKERS | 16 |
| 9000 | ELEMENTARY OCCUPATIONS | 623 |
| 9100 | SALES AND SERVICES ELEMENTARY OCCUPATIONS | 10 |
| 9110 | STREET VENDORS AND RELATED WORKERS | 5 |
| 9111 | Street food vendors | 144 |
| 9112 | Street vendors, non-food products | 56 |
| 9113 | Door-to-door and telephone salespersons | 43 |
| 9120 | SHOE CLEANING AND OTHER STREET SERVICES ELEMENTARY OCCUPATIO | 11 |
| 9130 | DOMESTIC AND RELATED HELPERS, CLEANERS AND LAUNDERERS | 200 |
| 9131 | Domestic helpers and cleaners | 426 |
| 9132 | Helpers and cleaners in offices, hotels and other establishm | 565 |
| 9133 | Hand-launderers and pressers | 48 |
| 9134 | Kitchen+serv.assistants | 5 |
| 9140 | BUILDING CARETAKERS, WINDOW AND RELATED CLEANERS | 13 |
| 9141 | Building caretakers | 73 |
| 9142 | Vehicle, window and related cleaners | 20 |
| 9150 | MESSENGERS, PORTERS, DOORKEEPERS AND RELATED WORKERS | 16 |
| 9151 | Messengers, package and luggage porters and deliverers | 114 |
| 9152 | Doorkeepers, watchpersons and related workers | 139 |
| 9153 | Vending-machine money collectors, meter readers and related | 8 |
| 9160 | GARBAGE COLLECTORS AND RELATED LABOURERS | 8 |
| 9161 | Garbage collectors | 18 |
| 9162 | Sweepers and related labourers | 60 |
| 9200 | AGRICULTURAL, FISHERY AND RELATED LABOURERS | 2 |
| 9210 | AGRICULTURAL, FISHERY AND RELATED LABOURERS | 9 |
| 9211 | Farm-hands and labourers | 238 |
| 9212 | Forestry labourers | 19 |
| 9213 | Fishery, hunting and trapping labourers | 11 |
| 9300 | LABOURERS IN MINING, CONSTRUCTION, MANUFACTURING AND TRANSPO | 5 |
| 9310 | MINING AND CONSTRUCTION LABOURERS | 28 |
| 9311 | Mining and quarrying labourers | 5 |
| 9312 | Construction and maintenance labourers: roads, dams and simi | 54 |
| 9313 | Building construction labourers | 124 |
| 9320 | MANUFACTURING LABOURERS | 117 |
| 9321 | Assembling labourers | 104 |
| 9322 | Hand packers and other manufacturing labourers | 172 |
| 9330 | TRANSPORT LABOURERS AND FREIGHT HANDLERS | 75 |
| 9331 | Hand or pedal vehicle drivers | 8 |
| 9332 | Drivers of animal-drawn vehicles and machinery | 9 |
| 9333 | Freight handlers | 125 |
| 0 | NAP,NAV | 4404 |
| 9996 | Not classifiable;inadeq described | 363 |
| 9997 | Refused | 136 |
| 9998 | Dont know | 86 |
| 9999 | NA | 2426 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 29265 | 7415 |
Valid range from 100 to 9333
wrktype R: Workg f priv.,pub sector, selfempl.
| Value 107140 | Frequency | |
|---|---|---|
| 1 | Work f government | 5865 |
| 2 | Public owned firm,nat.ind | 2879 |
| 3 | Private firm, others | 15317 |
| 4 | Self employed | 4826 |
| 0 | NAP,NAV | 5944 |
| 9 | NA, dont know | 1849 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 28887 | 7793 |
Valid range from 1 to 4
nemploy R: Self-employed - number of employees
| Value 108139 | Frequency | |
|---|---|---|
| 1 | 619 | |
| 2 | 418 | |
| 3 | 238 | |
| 4 | 151 | |
| 5 | 104 | |
| 6 | 71 | |
| 7 | 34 | |
| 8 | 33 | |
| 9 | 15 | |
| 10 | 56 | |
| 11 | 3 | |
| 12 | 25 | |
| 13 | 5 | |
| 14 | 11 | |
| 15 | 19 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 23 | |
| 21 | 2 | |
| 22 | 5 | |
| 23 | 2 | |
| 24 | 5 | |
| 25 | 5 | |
| 26 | 1 | |
| 27 | 1 | |
| 28 | 1 | |
| 29 | 2 | |
| 30 | 8 | |
| 32 | 1 | |
| 33 | 1 | |
| 35 | 5 | |
| 36 | 2 | |
| 37 | 4 | |
| 38 | 1 | |
| 40 | 11 | |
| 45 | 4 | |
| 46 | 1 | |
| 48 | 1 | |
| 50 | 6 | |
| 53 | 1 | |
| 54 | 1 | |
| 55 | 1 | |
| 59 | 1 | |
| 60 | 5 | |
| 64 | 1 | |
| 69 | 1 | |
| 70 | 5 | |
| 72 | 1 | |
| 79 | 1 | |
| 80 | 4 | |
| 100 | 3 | |
| 110 | 1 | |
| 120 | 1 | |
| 130 | 1 | |
| 200 | 2 | |
| 300 | 1 | |
| 0 | NAV,NAP | 29466 |
| 9995 | No employee | 3653 |
| 9997 | Refused | 19 |
| 9998 | Dont know | 18 |
| 9999 | NA | 1584 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1940 | 34740 |
Valid range from 1 to 300
wrksup R: Supervises others at work
| Value 109138 | Frequency | |
|---|---|---|
| 1 | Yes,supervises | 8842 |
| 2 | No,do n supervise | 18766 |
| 7 | Refused | 34 |
| 0 | NAP,NAV | 6713 |
| 8 | Dont know | 100 |
| 9 | NA | 2225 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27642 | 9038 |
Valid range from 1 to 7
union R: Trade union membership
| Value 110137 | Frequency | |
|---|---|---|
| 1 | Currently member | 5912 |
| 2 | Once member, not now | 6015 |
| 3 | Never member | 18425 |
| 0 | NAP, NAV | 4560 |
| 8 | Dont know | 148 |
| 9 | NA, refused | 1620 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 30352 | 6328 |
Valid range from 1 to 3
spwrkst S-P: Current employment status
| Value 111136 | Frequency | |
|---|---|---|
| 1 | F-t empl,main job | 11750 |
| 2 | P-t empl,main job | 1852 |
| 3 | Less part-time | 378 |
| 4 | Help family member | 256 |
| 5 | Unemployed | 1045 |
| 6 | Studt,school,educ | 263 |
| 7 | Retired | 3569 |
| 8 | Housewife,-man,home duties | 2722 |
| 9 | Permanently disabled | 442 |
| 10 | Other,not in lab force | 202 |
| 0 | NAV;N mar;n spou/partn | 11858 |
| 97 | Refused | 11 |
| 98 | Dont know | 3 |
| 99 | NA | 2329 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 22479 | 14201 |
Valid range from 1 to 10
spisco88 S-P: Occupation ILO,ISCO 1988 4-digit
| Value 112135 | Frequency | |
|---|---|---|
| 100 | ARMED FORCES | 108 |
| 110 | Soldiers | 12 |
| 112 | Officers | 1 |
| 1000 | LEGISLATORS, SENIOR OFFICIALS AND MANAGERS | 61 |
| 1100 | LEGISLATORS AND SENIOR OFFICIALS | 0 |
| 1110 | LEGISLATORS | 19 |
| 1120 | SENIOR GOVERNMENT OFFICIALS | 26 |
| 1130 | TRADITIONAL CHIEFS AND HEADS OF VILLAGES | 2 |
| 1140 | SENIOR OFFICIALS OF SPECIAL-INTEREST ORGANISATIONS | 0 |
| 1141 | Senior officials of political-party organisations | 0 |
| 1142 | Senior officials of employers´, workers´ and other economic- | 1 |
| 1143 | Senior officials of humanitarian and other special-interest | 3 |
| 1200 | CORPORATE MANAGERS (This group is intended to include person | 19 |
| 1210 | DIRECTORS AND CHIEF EXECUTIVES | 117 |
| 1220 | PRODUCTION AND OPERATIONS DEPARTMENT MANAGERS | 87 |
| 1221 | Production and operations department managers in agriculture | 5 |
| 1222 | Production and operations department managers in manufacturi | 50 |
| 1223 | Production and operations department managers in constructio | 27 |
| 1224 | Production and operations department managers in wholesale a | 16 |
| 1225 | Production and operations department managers in restaurants | 4 |
| 1226 | Production and operations department managers in transport, | 10 |
| 1227 | Production and operations department managers in business se | 9 |
| 1228 | Production and operations department managers in personal ca | 18 |
| 1229 | Production and operations department managers not elsewhere | 87 |
| 1230 | OTHER DEPARTMENT MANAGERS | 64 |
| 1231 | Finance and administration department managers | 48 |
| 1232 | Personnel and industrial relations department managers | 30 |
| 1233 | Sales and marketing department managers | 47 |
| 1234 | Advertising and public relations department managers | 28 |
| 1235 | Supply and distribution department managers | 9 |
| 1236 | Computing services department managers | 17 |
| 1237 | Research and development department managers | 14 |
| 1239 | Other department managers not elsewhere classified | 46 |
| 1240 | US:Misc.office supervisors | 27 |
| 1250 | PL,RU:Military officer | 4 |
| 1251 | PL,RU:High-grade military officer | 18 |
| 1252 | PL,RU:Low-grade commissioned officer | 6 |
| 1300 | GENERAL MANAGERS (This group is intended to include persons | 72 |
| 1310 | GENERAL MANAGERS | 149 |
| 1311 | General managers in agriculture, hunting, forestry/ and fish | 10 |
| 1312 | General managers in manufacturing | 52 |
| 1313 | General managers in construction | 46 |
| 1314 | General managers in wholesale and retail trade | 142 |
| 1315 | General managers of restaurants and hotels | 47 |
| 1316 | General managers in transport, storage and communications | 30 |
| 1317 | General managers of business services | 36 |
| 1318 | General managers in personal care, cleaning and related serv | 21 |
| 1319 | General managers not elsewhere classified | 125 |
| 1320 | Managers in non-specific trade areas | 5 |
| 2000 | PROFESSIONALS | 117 |
| 2100 | PHYSICAL, MATHEMATICAL AND ENGINEERING SCIENCE PROFESSIONALS | 20 |
| 2110 | PHYSICISTS, CHEMISTS AND RELATED PROFESSIONALS | 11 |
| 2111 | Physicists and astronomers | 1 |
| 2112 | Meteorologists | 0 |
| 2113 | Chemists | 13 |
| 2114 | Geologists and geophysicists | 3 |
| 2120 | MATHEMATICIANS, STATISTICIANS AND RELATED PROFESSIONALS | 1 |
| 2121 | Mathematicians and related professionals | 2 |
| 2122 | Statisticians | 1 |
| 2130 | COMPUTING PROFESSIONALS | 45 |
| 2131 | Computer systems designers and analysts | 33 |
| 2132 | Computer programmers | 24 |
| 2139 | Computing professionals not elsewhere classified | 19 |
| 2140 | ARCHITECTS, ENGINEERS AND RELATED PROFESSIONALS | 90 |
| 2141 | Architects, town and traffic planners | 50 |
| 2142 | Civil engineers | 71 |
| 2143 | Electrical engineers | 25 |
| 2144 | Electronics and telecommunications engineers | 30 |
| 2145 | Mechanical engineers | 50 |
| 2146 | Chemical engineers | 11 |
| 2147 | Mining engineers, metallurgists and related professionals | 5 |
| 2148 | Cartographers and surveyors | 10 |
| 2149 | Architects, engineers and related professionals not elsewher | 51 |
| 2200 | LIFE SCIENCE AND HEALTH PROFESSIONALS | 0 |
| 2210 | LIFE SCIENCE PROFESSIONALS | 3 |
| 2211 | Biologists, botanists, zoologists and related professionals | 13 |
| 2212 | Pharmacologists, pathologists and related professionals | 10 |
| 2213 | Agronomists and related professionals | 12 |
| 2220 | HEALTH PROFESSIONALS (except nursing) | 41 |
| 2221 | Medical doctors | 92 |
| 2222 | Dentists | 17 |
| 2223 | Veterinarians | 11 |
| 2224 | Pharmacists | 20 |
| 2229 | Health professionals (except nursing) not elsewhere classifi | 29 |
| 2230 | NURSING AND MIDWIFERY PROFESSIONALS | 121 |
| 2300 | TEACHING PROFESSIONALS | 74 |
| 2310 | COLLEGE, UNIVERSITY AND HIGHER EDUCATION TEACHING PROFESSION | 118 |
| 2320 | SECONDARY EDUCATION TEACHING PROFESSIONALS | 271 |
| 2321 | HU:Secondary (high)-school teacher | 19 |
| 2322 | HU:Teacher in vocational training | 3 |
| 2330 | PRIMARY AND PRE-PRIMARY EDUCATION TEACHING PROFESSIONALS | 27 |
| 2331 | Primary education teaching professionals | 211 |
| 2332 | Pre-primary education teaching professionals | 42 |
| 2340 | SPECIAL EDUCATION TEACHING PROFESSIONALS | 31 |
| 2350 | OTHER TEACHING PROFESSIONALS | 19 |
| 2351 | Education methods specialists | 9 |
| 2352 | School inspectors | 6 |
| 2359 | Other teaching professionals not elsewhere classified | 61 |
| 2400 | OTHER PROFESSIONALS | 1 |
| 2410 | BUSINESS PROFESSIONALS | 10 |
| 2411 | Accountants | 134 |
| 2412 | Personnel and careers professionals | 29 |
| 2419 | Business professionals not elsewhere classified | 94 |
| 2420 | LEGAL PROFESSIONALS | 14 |
| 2421 | Lawyers | 60 |
| 2422 | Judges | 7 |
| 2429 | Legal professionals not elsewhere classified | 23 |
| 2430 | ARCHIVISTS, LIBRARIANS AND RELATED INFORMATION PROFESSIONALS | 9 |
| 2431 | Archivists and curators | 3 |
| 2432 | Librarians and related information professionals | 19 |
| 2440 | SOCIAL SCIENCE AND RELATED PROFESSIONALS | 15 |
| 2441 | Economists | 37 |
| 2442 | Sociologists, anthropologists and related professionals | 5 |
| 2443 | Philosophers, historians and political scientists | 1 |
| 2444 | Philologists, translators and interpreters | 6 |
| 2445 | Psychologists | 23 |
| 2446 | Social work professionals | 28 |
| 2450 | WRITERS AND CREATIVE OR PERFORMING ARTISTS | 20 |
| 2451 | Authors, journalists and other writers | 47 |
| 2452 | Sculptors, painters and related artists | 26 |
| 2453 | Composers, musicians and singers | 6 |
| 2454 | Choreographers and dancers | 2 |
| 2455 | Film, stage and related actors and directors | 11 |
| 2460 | RELIGIOUS PROFESSIONALS | 23 |
| 2470 | Public service administrative prof | 43 |
| 3000 | TECHNICIANS AND ASSOCIATE PROFESSIONALS | 74 |
| 3100 | PHYSICAL AND ENGINEERING SCIENCE ASSOCIATE PROFESSIONALS | 6 |
| 3110 | PHYSICAL AND ENGINEERING SCIENCE TECHNICIANS | 82 |
| 3111 | Chemical and physical science technicians | 12 |
| 3112 | Civil engineering technicians | 77 |
| 3113 | Electrical engineering technicians | 43 |
| 3114 | Electronics and telecommunications engineering technicians | 35 |
| 3115 | Mechanical engineering technicians | 46 |
| 3116 | Chemical engineering technicians | 26 |
| 3117 | Mining and metallurgical technicians | 6 |
| 3118 | Draughtspersons | 18 |
| 3119 | Physical and engineering science technicians not elsewhere c | 56 |
| 3120 | COMPUTER ASSOCIATE PROFESSIONALS | 17 |
| 3121 | Computer assistants | 32 |
| 3122 | Computer equipment operators | 12 |
| 3123 | Industrial robot controllers | 3 |
| 3130 | OPTICAL AND ELECTRONIC EQUIPMENT OPERATORS | 5 |
| 3131 | Photographers and image and sound recording equipment operat | 6 |
| 3132 | Broadcasting and telecommunications equipment operators | 11 |
| 3133 | Medical equipment operators | 6 |
| 3139 | Optical and electronic equipment operators not elsewhere cla | 3 |
| 3140 | SHIP AND AIRCRAFT CONTROLLERS AND TECHNICIANS | 5 |
| 3141 | Ships´ engineers | 3 |
| 3142 | Ships´ deck officers and pilots | 7 |
| 3143 | Aircraft pilots and related associate professionals | 9 |
| 3144 | Air traffic controllers | 1 |
| 3145 | Air traffic safety technicians | 0 |
| 3150 | SAFETY AND QUALITY INSPECTORS | 8 |
| 3151 | Building and fire inspectors | 3 |
| 3152 | Safety, health and quality inspectors | 37 |
| 3200 | LIFE SCIENCE AND HEALTH ASSOCIATE PROFESSIONALS | 0 |
| 3210 | LIFE SCIENCE TECHNICIANS AND RELATED ASSOCIATE PROFESSIONALS | 9 |
| 3211 | Life science technicians | 21 |
| 3212 | Agronomy and forestry technicians | 15 |
| 3213 | Farming and forestry advisers | 7 |
| 3220 | MODERN HEALTH ASSOCIATE PROFESSIONALS (except nursing) | 17 |
| 3221 | Medical assistants | 28 |
| 3222 | Sanitarians | 6 |
| 3223 | Dieticians and nutritionists | 3 |
| 3224 | Optometrists and opticians | 8 |
| 3225 | Dental assistants | 8 |
| 3226 | Physiotherapists and related associate professionals | 29 |
| 3227 | Veterinary assistants | 2 |
| 3228 | Pharmaceutical assistants | 8 |
| 3229 | Modern health associate professionals (except nursing) not e | 22 |
| 3230 | NURSING AND MIDWIFERY ASSOCIATE PROFESSIONALS | 68 |
| 3231 | Nursing associate professionals | 125 |
| 3232 | Midwifery associate professionals | 3 |
| 3240 | TRADITIONAL MEDICINE PRACTITIONERS AND FAITH HEALERS | 0 |
| 3241 | Traditional medicine practitioners | 1 |
| 3242 | Faith healers | 0 |
| 3300 | TEACHING ASSOCIATE PROFESSIONALS | 5 |
| 3310 | PRIMARY EDUCATION TEACHING ASSOCIATE PROFESSIONALS | 101 |
| 3320 | PRE-PRIMARY EDUCATION TEACHING ASSOCIATE PROFESSIONALS | 36 |
| 3330 | SPECIAL EDUCATION TEACHING ASSOCIATE PROFESSIONALS | 6 |
| 3340 | OTHER TEACHING ASSOCIATE PROFESSIONALS | 76 |
| 3400 | OTHER ASSOCIATE PROFESSIONALS | 7 |
| 3410 | FINANCE AND SALES ASSOCIATE PROFESSIONALS | 93 |
| 3411 | Securities and finance dealers and brokers | 37 |
| 3412 | Insurance representatives | 38 |
| 3413 | Estate agents | 52 |
| 3414 | Travel consultants and organisers | 10 |
| 3415 | Technical and commercial sales representatives | 182 |
| 3416 | Buyers | 32 |
| 3417 | Appraisers, valuers and auctioneers | 8 |
| 3418 | Customer consultant in a bank | 3 |
| 3419 | Finance and sales associate professionals not elsewhere clas | 36 |
| 3420 | BUSINESS SERVICES AGENTS AND TRADE BROKERS | 1 |
| 3421 | Trade brokers | 16 |
| 3422 | Clearing and forwarding agents | 10 |
| 3423 | Employment agents and labour contractors | 4 |
| 3429 | Business services agents and trade brokers not elsewhere cla | 14 |
| 3430 | ADMINISTRATIVE ASSOCIATE PROFESSIONALS | 56 |
| 3431 | Administrative secretaries and related associate professiona | 109 |
| 3432 | Legal and related business associate professionals | 20 |
| 3433 | Bookkeepers | 133 |
| 3434 | Statistical, mathematical and related associate professional | 2 |
| 3439 | Administrative associate professionals not elsewhere classif | 99 |
| 3440 | CUSTOMS, TAX AND RELATED GOVERNMENT ASSOCIATE PROFESSIONALS | 32 |
| 3441 | Customs and border inspectors | 21 |
| 3442 | Government tax and excise officials | 15 |
| 3443 | Government social benefits officials | 8 |
| 3444 | Government licensing officials | 5 |
| 3445 | Public employment service worker | 10 |
| 3449 | Customs, tax and related government associate professionals | 23 |
| 3450 | POLICE INSPECTORS AND DETECTIVES | 40 |
| 3452 | PL,RU:Armed forces non-commiss. officer | 7 |
| 3460 | SOCIAL WORK ASSOCIATE PROFESSIONALS | 59 |
| 3470 | ARTISTIC, ENTERTAINMENT AND SPORTS ASSOCIATE PROFESSIONALS | 13 |
| 3471 | Decorators and commercial designers | 33 |
| 3472 | Radio, television and other announcers | 2 |
| 3473 | Street, night-club and related musicians, singers and dancer | 11 |
| 3474 | Clowns, magicians, acrobats and related associate profession | 1 |
| 3475 | Athletes, sportspersons and related associate professionals | 19 |
| 3480 | RELIGIOUS ASSOCIATE PROFESSIONALS | 8 |
| 3491 | Informationworker+journalist | 1 |
| 3492 | Librarians | 0 |
| 4000 | CLERKS | 85 |
| 4100 | OFFICE CLERKS | 79 |
| 4110 | SECRETARIES AND KEYBOARD-OPERATING CLERKS | 106 |
| 4111 | Stenographers and typists | 6 |
| 4112 | Word-processor and related operators | 21 |
| 4113 | Data entry operators | 16 |
| 4114 | Calculating-machine operators | 16 |
| 4115 | Secretaries | 174 |
| 4120 | NUMERICAL CLERKS | 42 |
| 4121 | Accounting and bookkeeping clerks | 156 |
| 4122 | Statistical and finance clerks | 68 |
| 4130 | MATERIAL-RECORDING AND TRANSPORT CLERKS | 28 |
| 4131 | Stock clerks | 108 |
| 4132 | Production clerks | 22 |
| 4133 | Transport clerks | 42 |
| 4140 | LIBRARY, MAIL AND RELATED CLERKS | 19 |
| 4141 | Library and filing clerks | 14 |
| 4142 | Mail carriers and sorting clerks | 40 |
| 4143 | Coding, proof-reading and related clerks | 6 |
| 4144 | Scribes and related workers | 1 |
| 4190 | OTHER OFFICE CLERKS | 369 |
| 4200 | CUSTOMER SERVICES CLERKS | 15 |
| 4210 | CASHIERS, TELLERS AND RELATED CLERKS | 69 |
| 4211 | Cashiers and ticket clerks | 70 |
| 4212 | Tellers and other counter clerks | 47 |
| 4213 | Bookmakers and croupiers | 13 |
| 4214 | Pawnbrokers and money-lenders | 6 |
| 4215 | Debt-collectors and related workers | 14 |
| 4220 | CLIENT INFORMATION CLERKS | 15 |
| 4221 | Travel agency and related clerks | 17 |
| 4222 | Receptionists and information clerks | 88 |
| 4223 | Telephone switchboard operators | 26 |
| 4300 | Office helping workers | 1 |
| 5000 | SERVICE WORKERS AND SHOP AND MARKET SALES WORKERS | 100 |
| 5100 | PERSONAL AND PROTECTIVE SERVICES WORKERS | 2 |
| 5110 | TRAVEL ATTENDANTS AND RELATED WORKERS | 1 |
| 5111 | Travel attendants and travel stewards | 9 |
| 5112 | Transport conductors | 12 |
| 5113 | Travel guides | 11 |
| 5120 | HOUSEKEEPING AND RESTAURANT SERVICES WORKERS | 67 |
| 5121 | Housekeepers and related workers | 53 |
| 5122 | Cooks | 218 |
| 5123 | Waiters, waitresses and bartenders | 135 |
| 5130 | PERSONAL CARE AND RELATED WORKERS | 160 |
| 5131 | Child-care workers | 118 |
| 5132 | Institution-based personal care workers | 103 |
| 5133 | Home-based personal care workers | 40 |
| 5139 | Personal care and related workers not elsewhere classified | 21 |
| 5140 | OTHER PERSONAL SERVICES WORKERS | 17 |
| 5141 | Hairdressers, barbers, beauticians and related workers | 120 |
| 5142 | Companions and valets | 6 |
| 5143 | Undertakers and embalmers | 4 |
| 5149 | Other personal services workers not elsewhere classified | 29 |
| 5150 | ASTROLOGERS, FORTUNE-TELLERS AND RELATED WORKERS | 0 |
| 5151 | Astrologers and related workers | 0 |
| 5152 | Fortune-tellers, palmists and related workers | 0 |
| 5160 | PROTECTIVE SERVICES WORKERS | 25 |
| 5161 | Fire-fighters | 19 |
| 5162 | Police officers | 75 |
| 5163 | Prison guards | 15 |
| 5164 | Caretakers, houseporters | 3 |
| 5169 | Protective services workers not elsewhere classified | 81 |
| 5200 | MODELS, SALESPERSONS AND DEMONSTRATORS | 24 |
| 5210 | FASHION AND OTHER MODELS | 0 |
| 5220 | SHOP SALESPERSONS AND DEMONSTRATORS | 710 |
| 5221 | Shop staff, sales staff+other | 78 |
| 5222 | Door-to-door+telephone salesmen | 11 |
| 5223 | Wholesale merchants | 14 |
| 5230 | STALL AND MARKET SALESPERSONS | 76 |
| 6000 | SKILLED AGRICULTURAL AND FISHERY WORKERS | 18 |
| 6100 | MARKET-ORIENTED SKILLED AGRICULTURAL AND FISHERY WORKERS | 65 |
| 6110 | MARKET GARDENERS AND CROP GROWERS | 17 |
| 6111 | Field crop and vegetable growers | 213 |
| 6112 | Tree and shrub crop growers | 39 |
| 6113 | Gardeners, horticultural and nursery growers | 54 |
| 6114 | Mixed-crop growers | 59 |
| 6120 | MARKET-ORIENTED ANIMAL PRODUCERS AND RELATED WORKERS | 6 |
| 6121 | Dairy and livestock producers | 80 |
| 6122 | Poultry producers | 9 |
| 6123 | Apiarists and sericulturists | 2 |
| 6124 | Mixed-animal producers | 12 |
| 6129 | Market-oriented animal producers and related workers not els | 18 |
| 6130 | MARKET-ORIENTED CROP AND ANIMAL PRODUCERS | 175 |
| 6132 | US: Farmers | 89 |
| 6133 | US: Farm supervisors | 1 |
| 6140 | FORESTRY AND RELATED WORKERS | 13 |
| 6141 | Forestry workers and loggers | 24 |
| 6142 | Charcoal burners and related workers | 2 |
| 6150 | FISHERY WORKERS, HUNTERS AND TRAPPERS | 8 |
| 6151 | Aquatic-life cultivation workers | 9 |
| 6152 | Inland and coastal waters fishery workers | 17 |
| 6153 | Deep-sea fishery workers | 2 |
| 6154 | Hunters and trappers | 0 |
| 6200 | SUBSISTENCE AGRICULTURAL AND FISHERY WORKERS | 0 |
| 6210 | SUBSISTENCE AGRICULTURAL AND FISHERY WORKERS | 32 |
| 7000 | CRAFT AND RELATED TRADES WORKERS | 204 |
| 7100 | EXTRACTION AND BUILDING TRADES WORKERS | 1 |
| 7110 | MINERS, SHOTFIRERS, STONE CUTTERS AND CARVERS | 1 |
| 7111 | Miners and quarry workers | 29 |
| 7112 | Shotfirers and blasters | 1 |
| 7113 | Stone splitters, cutters and carvers | 6 |
| 7120 | BUILDING FRAME AND RELATED TRADES WORKERS | 60 |
| 7121 | Builders, traditional materials | 86 |
| 7122 | Bricklayers and stonemasons | 113 |
| 7123 | Concrete placers, concrete finishers and related workers | 9 |
| 7124 | Carpenters and joiners | 106 |
| 7126 | Carpenters | 10 |
| 7129 | Building frame and related trades workers not elsewhere clas | 66 |
| 7130 | BUILDING FINISHERS AND RELATED TRADES WORKERS | 34 |
| 7131 | Roofers | 14 |
| 7132 | Floor layers and tile setters | 20 |
| 7133 | Plasterers | 34 |
| 7134 | Insulation workers | 2 |
| 7135 | Glaziers | 12 |
| 7136 | Plumbers and pipe fitters | 82 |
| 7137 | Building and related electricians | 79 |
| 7139 | Building finishers+rel.trade workers | 3 |
| 7140 | PAINTERS, BUILDING STRUCTURE CLEANERS AND RELATED TRADES WOR | 22 |
| 7141 | Painters and related workers | 70 |
| 7142 | Varnishers and related painters | 17 |
| 7143 | Building structure cleaners | 4 |
| 7200 | METAL, MACHINERY AND RELATED TRADES WORKERS | 9 |
| 7210 | METAL MOULDERS, WELDERS, SHEET-METAL WORKERS, STRUCTURAL- ME | 28 |
| 7211 | Metal moulders and coremakers | 11 |
| 7212 | Welders and flamecutters | 98 |
| 7213 | Sheet metal workers | 24 |
| 7214 | Structural-metal preparers and erectors | 32 |
| 7215 | Riggers and cable splicers | 1 |
| 7216 | Underwater workers | 1 |
| 7220 | BLACKSMITHS, TOOL-MAKERS AND RELATED TRADES WORKERS | 36 |
| 7221 | Blacksmiths, hammer-smiths and forging-press workers | 19 |
| 7222 | Tool-makers and related workers | 49 |
| 7223 | Machine-tool setters and setter-operators | 25 |
| 7224 | Metal wheel-grinders, polishers and tool sharpeners | 19 |
| 7230 | MACHINERY MECHANICS AND FITTERS | 43 |
| 7231 | Motor vehicle mechanics and fitters | 203 |
| 7232 | Aircraft engine mechanics and fitters | 8 |
| 7233 | Agricultural- or industrial-machinery mechanics and fitters | 60 |
| 7240 | ELECTRICAL AND ELECTRONIC EQUIPMENT MECHANICS AND FITTERS | 42 |
| 7241 | Electrical mechanics and fitters | 101 |
| 7242 | Electronics fitters | 19 |
| 7243 | Electronics mechanics and servicers | 21 |
| 7244 | Telegraph and telephone installers and servicers | 20 |
| 7245 | Electrical line installers, repairers and cable jointers | 19 |
| 7300 | PRECISION, HANDICRAFT, PRINTING AND RELATED TRADES WORKERS | 4 |
| 7310 | PRECISION WORKERS IN METAL AND RELATED MATERIALS | 4 |
| 7311 | Precision-instrument makers and repairers | 15 |
| 7312 | Musical instrument makers and tuners | 2 |
| 7313 | Jewellery and precious-metal workers | 9 |
| 7320 | POTTERS, GLASS-MAKERS AND RELATED TRADES WORKERS | 2 |
| 7321 | Abrasive wheel formers, potters and related workers | 4 |
| 7322 | Glass makers, cutters, grinders and finishers | 12 |
| 7323 | Glass engravers and etchers | 1 |
| 7324 | Glass, ceramics and related decorative painters | 5 |
| 7330 | HANDICRAFT WORKERS IN WOOD,TEXTILE, LEATHER AND RELATED MATE | 3 |
| 7331 | Handicraft workers in wood and related materials | 20 |
| 7332 | Handicraft workers in textile, leather and related materials | 8 |
| 7340 | PRINTING AND RELATED TRADES WORKERS | 6 |
| 7341 | Compositors, typesetters and related workers | 17 |
| 7342 | Stereotypers and electrotypers | 3 |
| 7343 | Printing engravers and etchers | 10 |
| 7344 | Photographic and related workers | 3 |
| 7345 | Bookbinders and related workers | 6 |
| 7346 | Silk-screen, block and textile printers | 4 |
| 7400 | OTHER CRAFT AND RELATED TRADES WORKERS | 4 |
| 7410 | FOOD PROCESSING AND RELATED TRADES WORKERS | 18 |
| 7411 | Butchers, fishmongers and related food preparers | 43 |
| 7412 | Bakers, pastry-cooks and confectionery makers | 61 |
| 7413 | Dairy-products makers | 1 |
| 7414 | Fruit, vegetable and related preservers | 4 |
| 7415 | Food and beverage tasters and graders | 4 |
| 7416 | Tobacco preparers and tobacco products makers | 5 |
| 7420 | WOOD TREATERS, CABINET-MAKERS AND RELATED TRADES WORKERS | 12 |
| 7421 | Wood treaters | 9 |
| 7422 | Cabinet makers and related workers | 53 |
| 7423 | Woodworking machine setters and setter-operators | 8 |
| 7424 | Basketry weavers, brush makers and related workers | 4 |
| 7430 | TEXTILE, GARMENT AND RELATED TRADES WORKERS | 33 |
| 7431 | Fibre preparers | 1 |
| 7432 | Weavers, knitters and related workers | 17 |
| 7433 | Tailors, dressmakers and hatters | 74 |
| 7434 | Furriers and related workers | 3 |
| 7435 | Textile, leather and related pattern-makers and cutters | 12 |
| 7436 | Sewers, embroiderers and related workers | 81 |
| 7437 | Upholsterers and related workers | 11 |
| 7440 | PELT, LEATHER AND SHOEMAKING TRADES WORKERS | 2 |
| 7441 | Pelt dressers, tanners and fellmongers | 3 |
| 7442 | Shoe-makers and related workers | 17 |
| 7450 | Laboratory assistants | 2 |
| 7500 | Metal worker general | 13 |
| 7510 | Metal worker nec | 10 |
| 7520 | Electronics engineers nec | 14 |
| 7900 | Master craftsmen,supervisor | 0 |
| 8000 | PLANT AND MACHINE OPERATORS AND ASSEMBLERS | 121 |
| 8100 | STATIONARY-PLANT AND RELATED OPERATORS | 1 |
| 8110 | MINING- AND MINERAL-PROCESSING-PLANT OPERATORS | 5 |
| 8111 | Mining-plant operators | 7 |
| 8112 | Mineral-ore- and stone-processing-plant operators | 2 |
| 8113 | Well drillers and borers and related workers | 8 |
| 8120 | METAL-PROCESSING-PLANT OPERATORS | 5 |
| 8121 | Ore and metal furnace operators | 6 |
| 8122 | Metal melters, casters and rolling-mill operators | 4 |
| 8123 | Metal-heat-treating-plant operators | 2 |
| 8124 | Metal drawers and extruders | 6 |
| 8130 | GLASS, CERAMICS AND RELATED PLANT OPERATORS | 1 |
| 8131 | Glass and ceramics kiln and related machine operators | 1 |
| 8139 | Glass, ceramics and related plant operators not elsewhere cl | 0 |
| 8140 | WOOD-PROCESSING- AND PAPERMAKING-PLANT OPERATORS | 7 |
| 8141 | Wood-processing-plant operators | 17 |
| 8142 | Paper-pulp plant operators | 3 |
| 8143 | Papermaking-plant operators | 13 |
| 8150 | CHEMICAL-PROCESSING-PLANT OPERATORS | 4 |
| 8151 | Crushing-, grinding- and chemical-mixing-machinery operators | 2 |
| 8152 | Chemical-heat-treating-plant operators | 0 |
| 8153 | Chemical-filtering- and separating-equipment operators | 0 |
| 8154 | Chemical-still and reactor operators (except petroleum and n | 2 |
| 8155 | Petroleum- and natural-gas-refining-plant operators | 4 |
| 8159 | Chemical-processing-plant operators not elsewhere classified | 10 |
| 8160 | POWER-PRODUCTION AND RELATED PLANT OPERATORS | 5 |
| 8161 | Power-production plant operators | 8 |
| 8162 | Steam-engine and boiler operators | 19 |
| 8163 | Incinerator, water-treatment and related plant operators | 5 |
| 8170 | AUTOMATED-ASSEMBLY-LINE AND INDUSTRIAL-ROBOT OPERATORS | 1 |
| 8171 | Automated-assembly-line operators | 14 |
| 8172 | Industrial-robot operators | 0 |
| 8200 | MACHINE OPERATORS AND ASSEMBLERS | 9 |
| 8210 | METAL- AND MINERAL-PRODUCTS MACHINE OPERATORS | 4 |
| 8211 | Machine-tool operators | 41 |
| 8212 | Cement and other mineral products machine operators | 12 |
| 8220 | CHEMICAL-PRODUCTS MACHINE OPERATORS | 5 |
| 8221 | Pharmaceutical- and toiletry-products machine operators | 7 |
| 8222 | Ammunition- and explosive-products machine operators | 6 |
| 8223 | Metal finishing-, plating- and coating-machine operators | 3 |
| 8224 | Photographic-products machine operators | 1 |
| 8229 | Chemical-products machine operators not elsewhere classified | 3 |
| 8230 | RUBBER- AND PLASTIC-PRODUCTS MACHINE OPERATORS | 0 |
| 8231 | Rubber-products machine operators | 6 |
| 8232 | Plastic-products machine operators | 12 |
| 8240 | WOOD-PRODUCTS MACHINE OPERATORS | 14 |
| 8250 | PRINTING-, BINDING- AND PAPER-PRODUCTS MACHINE OPERATORS | 6 |
| 8251 | Printing-machine operators | 10 |
| 8252 | Bookbinding-machine operators | 0 |
| 8253 | Paper-products machine operators | 7 |
| 8260 | TEXTILE-, FUR- AND LEATHER-PRODUCTS MACHINE OPERATORS | 6 |
| 8261 | Fibre-preparing-, spinning- and winding-machine operators | 9 |
| 8262 | Weaving- and knitting-machine operators | 6 |
| 8263 | Sewing-machine operators | 21 |
| 8264 | Bleaching-, dyeing- and cleaning-machine operators | 7 |
| 8265 | Fur and leather-preparing-machine operators | 0 |
| 8266 | Shoemaking- and related machine operators | 2 |
| 8269 | Textile-, fur- and leather-products machine operators not el | 8 |
| 8270 | FOOD AND RELATED PRODUCTS MACHINE OPERATORS | 4 |
| 8271 | Meat- and fish-processing-machine operators | 17 |
| 8272 | Dairy-products machine operators | 2 |
| 8273 | Grain- and spice-milling-machine operators | 5 |
| 8274 | Baked-goods, cereal and chocolate-products machine operators | 5 |
| 8275 | Fruit-, vegetable- and nut-processing-machine operators | 2 |
| 8276 | Sugar production machine operators | 1 |
| 8277 | Tea-, coffee-, and cocoa-processing-machine operators | 2 |
| 8278 | Brewers, wine and other beverage machine operators | 5 |
| 8279 | Tobacco production machine operators | 3 |
| 8280 | ASSEMBLERS | 23 |
| 8281 | Mechanical-machinery assemblers | 20 |
| 8282 | Electrical-equipment assemblers | 11 |
| 8283 | Electronic-equipment assemblers | 16 |
| 8284 | Metal-, rubber- and plastic-products assemblers | 19 |
| 8285 | Wood and related products assemblers | 6 |
| 8286 | Paperboard, textile and related products assemblers | 0 |
| 8290 | OTHER MACHINE OPERATORS AND ASSEMBLERS | 59 |
| 8300 | DRIVERS AND MOBILE-PLANT OPERATORS | 0 |
| 8310 | LOCOMOTIVE-ENGINE DRIVERS AND RELATED WORKERS | 4 |
| 8311 | Locomotive-engine drivers | 19 |
| 8312 | Railway brakers, signallers and shunters | 14 |
| 8320 | MOTOR-VEHICLE DRIVERS | 111 |
| 8321 | Motor-cycle drivers | 81 |
| 8322 | Car, taxi and van drivers | 265 |
| 8323 | Bus and tram drivers | 120 |
| 8324 | Heavy-truck and lorry drivers | 213 |
| 8330 | AGRICULTURAL AND OTHER MOBILE-PLANT OPERATORS | 28 |
| 8331 | Motorised farm and forestry plant operators | 54 |
| 8332 | Earth-moving- and related plant operators | 52 |
| 8333 | Crane, hoist and related plant operators | 29 |
| 8334 | Lifting-truck operators | 32 |
| 8340 | SHIPS´ DECK CREWS AND RELATED WORKERS | 18 |
| 9000 | ELEMENTARY OCCUPATIONS | 270 |
| 9100 | SALES AND SERVICES ELEMENTARY OCCUPATIONS | 7 |
| 9110 | STREET VENDORS AND RELATED WORKERS | 5 |
| 9111 | Street food vendors | 60 |
| 9112 | Street vendors, non-food products | 30 |
| 9113 | Door-to-door and telephone salespersons | 19 |
| 9120 | SHOE CLEANING AND OTHER STREET SERVICES ELEMENTARY OCCUPATIO | 1 |
| 9130 | DOMESTIC AND RELATED HELPERS, CLEANERS AND LAUNDERERS | 124 |
| 9131 | Domestic helpers and cleaners | 164 |
| 9132 | Helpers and cleaners in offices, hotels and other establishm | 233 |
| 9133 | Hand-launderers and pressers | 21 |
| 9134 | Kitchen+serv.assistants | 2 |
| 9140 | BUILDING CARETAKERS, WINDOW AND RELATED CLEANERS | 12 |
| 9141 | Building caretakers | 50 |
| 9142 | Vehicle, window and related cleaners | 20 |
| 9150 | MESSENGERS, PORTERS, DOORKEEPERS AND RELATED WORKERS | 24 |
| 9151 | Messengers, package and luggage porters and deliverers | 66 |
| 9152 | Doorkeepers, watchpersons and related workers | 80 |
| 9153 | Vending-machine money collectors, meter readers and related | 1 |
| 9160 | GARBAGE COLLECTORS AND RELATED LABOURERS | 6 |
| 9161 | Garbage collectors | 15 |
| 9162 | Sweepers and related labourers | 24 |
| 9200 | AGRICULTURAL, FISHERY AND RELATED LABOURERS | 4 |
| 9210 | AGRICULTURAL, FISHERY AND RELATED LABOURERS | 6 |
| 9211 | Farm-hands and labourers | 167 |
| 9212 | Forestry labourers | 14 |
| 9213 | Fishery, hunting and trapping labourers | 5 |
| 9300 | LABOURERS IN MINING, CONSTRUCTION, MANUFACTURING AND TRANSPO | 1 |
| 9310 | MINING AND CONSTRUCTION LABOURERS | 12 |
| 9311 | Mining and quarrying labourers | 5 |
| 9312 | Construction and maintenance labourers: roads, dams and simi | 48 |
| 9313 | Building construction labourers | 135 |
| 9320 | MANUFACTURING LABOURERS | 80 |
| 9321 | Assembling labourers | 45 |
| 9322 | Hand packers and other manufacturing labourers | 91 |
| 9330 | TRANSPORT LABOURERS AND FREIGHT HANDLERS | 41 |
| 9331 | Hand or pedal vehicle drivers | 7 |
| 9332 | Drivers of animal-drawn vehicles and machinery | 1 |
| 9333 | Freight handlers | 64 |
| 0 | NAP,NAV | 13827 |
| 9996 | Not classifiable;inadeq described | 340 |
| 9997 | Refused | 146 |
| 9998 | Dont know | 175 |
| 9999 | NA | 3817 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 18375 | 18305 |
Valid range from 100 to 9333
spwrktyp S-P:Workg f priv,pub sector,self-empl.
| Value 113134 | Frequency | |
|---|---|---|
| 1 | Work f government | 3812 |
| 2 | Public owned firm,nat.ind | 1860 |
| 3 | Private firm, others | 9746 |
| 4 | Self employed | 3304 |
| 0 | NAP,NAV | 12953 |
| 9 | NA, dont know | 5005 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 18722 | 17958 |
Valid range from 1 to 4
au_rinc R: Earnings: Australia
| Value 114133 | Frequency | |
|---|---|---|
| 3120 | $1 - $6,239pa | 94 |
| 7280 | $6,240 - $8,319 pa | 55 |
| 9360 | $8,320 - $10,399 pa | 84 |
| 13000 | $10,400 - $15,599 pa | 298 |
| 18200 | $15,600 - $20,799 pa | 200 |
| 23400 | $20,800 - $25,999 pa | 175 |
| 28600 | $26,000 - $31,199 pa | 179 |
| 33800 | $31,200 - $36,399 pa | 148 |
| 39000 | $36,400 - $41,599 pa | 180 |
| 46800 | $41,600 - $51,999 pa | 250 |
| 65000 | $52,000 - $77,999 pa | 403 |
| 91000 | $78,000 - $103,999 pa | 159 |
| 104000 | $104,000 or more pa | 181 |
| 0 | No income | 104 |
| 999990 | NAP, other countries | 33911 |
| 999997 | Refused | 0 |
| 999998 | DK | 0 |
| 999999 | NA | 259 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2406 | 34274 |
Valid range from 3120 to 104000
ch_rinc R: Earnings: Switzerland
| Value 115132 | Frequency | |
|---|---|---|
| 150 | 1 | |
| 200 | 1 | |
| 300 | 3 | |
| 350 | 1 | |
| 380 | 1 | |
| 400 | 3 | |
| 500 | 3 | |
| 600 | 4 | |
| 750 | 2 | |
| 760 | 1 | |
| 790 | 1 | |
| 800 | 5 | |
| 830 | 1 | |
| 900 | 4 | |
| 904 | 1 | |
| 940 | 1 | |
| 1000 | 24 | |
| 1067 | 1 | |
| 1100 | 4 | |
| 1200 | 4 | |
| 1250 | 1 | |
| 1260 | 1 | |
| 1300 | 6 | |
| 1400 | 3 | |
| 1410 | 1 | |
| 1423 | 1 | |
| 1490 | 1 | |
| 1500 | 11 | |
| 1540 | 1 | |
| 1575 | 1 | |
| 1580 | 1 | |
| 1600 | 6 | |
| 1616 | 1 | |
| 1622 | 1 | |
| 1635 | 1 | |
| 1650 | 1 | |
| 1658 | 3 | |
| 1667 | 1 | |
| 1685 | 1 | |
| 1700 | 6 | |
| 1800 | 5 | |
| 1900 | 4 | |
| 2000 | 20 | |
| 2100 | 7 | |
| 2150 | 2 | |
| 2200 | 12 | |
| 2300 | 3 | |
| 2400 | 4 | |
| 2455 | 1 | |
| 2500 | 26 | |
| 2600 | 9 | |
| 2700 | 4 | |
| 2722 | 1 | |
| 2750 | 1 | |
| 2759 | 1 | |
| 2800 | 10 | |
| 2850 | 1 | |
| 2860 | 1 | |
| 2900 | 1 | |
| 3000 | 31 | |
| 3050 | 1 | |
| 3100 | 5 | |
| 3180 | 1 | |
| 3200 | 7 | |
| 3250 | 1 | |
| 3300 | 4 | |
| 3400 | 5 | |
| 3500 | 28 | |
| 3600 | 6 | |
| 3700 | 7 | |
| 3750 | 2 | |
| 3800 | 8 | |
| 3900 | 4 | |
| 3913 | 1 | |
| 4000 | 33 | |
| 4004 | 1 | |
| 4100 | 6 | |
| 4190 | 1 | |
| 4200 | 10 | |
| 4300 | 9 | |
| 4400 | 3 | |
| 4457 | 1 | |
| 4500 | 39 | |
| 4600 | 6 | |
| 4633 | 1 | |
| 4680 | 1 | |
| 4700 | 2 | |
| 4800 | 12 | |
| 4850 | 1 | |
| 4900 | 4 | |
| 4950 | 1 | |
| 5000 | 39 | |
| 5100 | 2 | |
| 5200 | 8 | |
| 5300 | 5 | |
| 5400 | 5 | |
| 5444 | 1 | |
| 5500 | 27 | |
| 5503 | 1 | |
| 5545 | 1 | |
| 5600 | 6 | |
| 5613 | 1 | |
| 5691 | 1 | |
| 5700 | 3 | |
| 5779 | 1 | |
| 5800 | 10 | |
| 5860 | 1 | |
| 5900 | 2 | |
| 6000 | 27 | |
| 6200 | 4 | |
| 6300 | 1 | |
| 6400 | 3 | |
| 6500 | 23 | |
| 6600 | 2 | |
| 6700 | 3 | |
| 6800 | 4 | |
| 7000 | 19 | |
| 7200 | 2 | |
| 7277 | 1 | |
| 7300 | 3 | |
| 7400 | 1 | |
| 7500 | 12 | |
| 7600 | 1 | |
| 7700 | 1 | |
| 7900 | 1 | |
| 8000 | 15 | |
| 8200 | 1 | |
| 8300 | 1 | |
| 8400 | 1 | |
| 8500 | 8 | |
| 9000 | 6 | |
| 9100 | 1 | |
| 9300 | 1 | |
| 9500 | 2 | |
| 10000 | 12 | |
| 10500 | 1 | |
| 10700 | 1 | |
| 10800 | 1 | |
| 11500 | 1 | |
| 12000 | 2 | |
| 13000 | 1 | |
| 14500 | 1 | |
| 15000 | 3 | |
| 16000 | 2 | |
| 17000 | 1 | |
| 19000 | 5 | |
| 0 | No own income, not in paid work | 33 |
| 999990 | NAP, other countries | 35677 |
| 999997 | Refused | 177 |
| 999998 | DK | 29 |
| 999999 | NA | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 759 | 35921 |
Valid range from 150 to 19000
cl_rinc R: Earnings: Chile
| Value 116131 | Frequency | |
|---|---|---|
| 20000 | 20000 [CPL (Pesos)] | 137 |
| 45000 | 45000 [CPL (Pesos)] | 83 |
| 66000 | 66000 [CPL (Pesos)] | 76 |
| 90000 | 90000 [CPL (Pesos)] | 106 |
| 122000 | 122000 [CPL (Pesos)] | 176 |
| 155000 | 155000 [CPL (Pesos)] | 163 |
| 200000 | 200000 [CPL (Pesos)] | 118 |
| 250000 | 250000 [CPL (Pesos)] | 65 |
| 310000 | 310000 [CPL (Pesos)] | 62 |
| 400000 | 400000 [CPL (Pesos)] | 59 |
| 750000 | 750000 [CPL (Pesos)] | 67 |
| 1500000 | 1500000 [CPL (Pesos)] | 13 |
| 2500000 | 2500000 [CPL (Pesos)] | 2 |
| 3100000 | 3100000 [CPL (Pesos)] | 1 |
| 9999990 | NAP, other countries | 35175 |
| 9999997 | Refused | 0 |
| 9999998 | DK | 68 |
| 9999999 | NA | 309 |
| 0 | No own income, not in paid work | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36680 | 0 |
Valid range from 20000 to 9999999
cz_rinc R: Earnings: Czech Republic
| Value 117130 | Frequency | |
|---|---|---|
| 3000 | 1-5999 CZK | 44 |
| 7000 | 6.000 - 7.999 CZK | 142 |
| 9000 | 8.000 - 9.999 CZK | 204 |
| 11000 | 10.000 - 11.999 CZK | 102 |
| 13000 | 12.000 - 13.999 CZK | 57 |
| 15000 | 14.000 - 15.999 CZK | 67 |
| 17000 | 16.000 - 17.999 CZK | 57 |
| 19000 | 18.000 - 19.999 CZK | 26 |
| 21000 | 20.000 - 21.999 CZK | 22 |
| 23000 | 22.000 - 23.999 CZK | 12 |
| 25000 | 24.000 - 25.999 CZK | 19 |
| 28000 | 26.000 - 29.999 CZK | 11 |
| 32500 | 30000-34999 CZK | 3 |
| 37500 | 35000-39999 CZK | 3 |
| 45000 | 40000-49999 CZK | 1 |
| 55000 | 50000-59999 CZK | 1 |
| 0 | No own income, not in paid work | 80 |
| 999990 | NAP, other countries | 35458 |
| 999997 | Refused | 123 |
| 999998 | DK | 9 |
| 999999 | NA | 239 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 771 | 35909 |
Valid range from 3000 to 55000
do_rinc R: Earnings: Dominican Republic
| Value 118129 | Frequency | |
|---|---|---|
| 4000 | Less than RD$5.000 | 810 |
| 10500 | RD$5.000-$15.999 | 876 |
| 21500 | RD$16.000-$26.999 | 209 |
| 32500 | RD$27.000-$37.999 | 51 |
| 43500 | RD$38.000-$48.999 | 27 |
| 54500 | RD$49.000-$59.999 | 8 |
| 65000 | RD$60.000-$69.999 | 9 |
| 75000 | RD$70.000 -$79.999 | 1 |
| 85000 | RD$80,000 - $89.999 | 3 |
| 100000 | RD$90,000+ | 6 |
| 0 | No own income, not in paid work | 0 |
| 999990 | NAP, other countries | 34516 |
| 999997 | Refused | 0 |
| 999998 | DK | 0 |
| 999999 | NA | 164 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2000 | 34680 |
Valid range from 4000 to 100000
fi_rinc R: Earnings: Finland
| Value 119128 | Frequency | |
|---|---|---|
| 2 | 1 | |
| 3 | 1 | |
| 20 | 3 | |
| 30 | 2 | |
| 38 | 1 | |
| 40 | 1 | |
| 45 | 1 | |
| 50 | 6 | |
| 60 | 1 | |
| 70 | 1 | |
| 85 | 1 | |
| 90 | 1 | |
| 91 | 1 | |
| 100 | 9 | |
| 125 | 1 | |
| 128 | 1 | |
| 130 | 2 | |
| 136 | 1 | |
| 142 | 1 | |
| 170 | 1 | |
| 182 | 1 | |
| 200 | 5 | |
| 202 | 1 | |
| 234 | 1 | |
| 250 | 1 | |
| 256 | 1 | |
| 260 | 1 | |
| 294 | 1 | |
| 300 | 6 | |
| 350 | 1 | |
| 369 | 1 | |
| 375 | 1 | |
| 380 | 2 | |
| 390 | 1 | |
| 392 | 1 | |
| 394 | 1 | |
| 400 | 9 | |
| 430 | 1 | |
| 434 | 1 | |
| 440 | 2 | |
| 450 | 5 | |
| 460 | 1 | |
| 470 | 1 | |
| 478 | 1 | |
| 480 | 3 | |
| 493 | 1 | |
| 499 | 1 | |
| 500 | 15 | |
| 503 | 1 | |
| 520 | 1 | |
| 550 | 3 | |
| 576 | 1 | |
| 580 | 2 | |
| 600 | 12 | |
| 620 | 1 | |
| 630 | 1 | |
| 638 | 1 | |
| 650 | 2 | |
| 656 | 1 | |
| 660 | 1 | |
| 666 | 1 | |
| 680 | 2 | |
| 700 | 15 | |
| 720 | 2 | |
| 740 | 1 | |
| 750 | 9 | |
| 773 | 1 | |
| 775 | 1 | |
| 780 | 1 | |
| 794 | 1 | |
| 796 | 1 | |
| 797 | 1 | |
| 800 | 12 | |
| 820 | 2 | |
| 827 | 1 | |
| 835 | 1 | |
| 842 | 1 | |
| 850 | 3 | |
| 857 | 1 | |
| 860 | 1 | |
| 899 | 2 | |
| 900 | 19 | |
| 920 | 1 | |
| 930 | 1 | |
| 939 | 1 | |
| 950 | 3 | |
| 960 | 2 | |
| 968 | 1 | |
| 973 | 1 | |
| 980 | 1 | |
| 987 | 1 | |
| 998 | 1 | |
| 1000 | 39 | |
| 1005 | 1 | |
| 1050 | 1 | |
| 1066 | 1 | |
| 1100 | 29 | |
| 1120 | 1 | |
| 1130 | 1 | |
| 1150 | 2 | |
| 1160 | 2 | |
| 1165 | 1 | |
| 1170 | 1 | |
| 1180 | 1 | |
| 1200 | 34 | |
| 1203 | 1 | |
| 1208 | 1 | |
| 1233 | 1 | |
| 1250 | 4 | |
| 1255 | 1 | |
| 1256 | 1 | |
| 1275 | 1 | |
| 1286 | 1 | |
| 1295 | 1 | |
| 1300 | 16 | |
| 1350 | 4 | |
| 1360 | 1 | |
| 1380 | 1 | |
| 1390 | 1 | |
| 1400 | 25 | |
| 1420 | 1 | |
| 1450 | 2 | |
| 1464 | 1 | |
| 1480 | 1 | |
| 1500 | 48 | |
| 1533 | 1 | |
| 1550 | 1 | |
| 1565 | 1 | |
| 1570 | 1 | |
| 1588 | 1 | |
| 1599 | 1 | |
| 1600 | 29 | |
| 1614 | 1 | |
| 1628 | 1 | |
| 1640 | 1 | |
| 1650 | 4 | |
| 1660 | 2 | |
| 1670 | 1 | |
| 1690 | 1 | |
| 1700 | 19 | |
| 1725 | 1 | |
| 1743 | 1 | |
| 1750 | 1 | |
| 1760 | 1 | |
| 1771 | 1 | |
| 1790 | 1 | |
| 1793 | 1 | |
| 1800 | 31 | |
| 1850 | 1 | |
| 1851 | 1 | |
| 1865 | 1 | |
| 1870 | 1 | |
| 1880 | 1 | |
| 1900 | 13 | |
| 1930 | 1 | |
| 1932 | 1 | |
| 1935 | 1 | |
| 1950 | 6 | |
| 1960 | 1 | |
| 1970 | 1 | |
| 1977 | 1 | |
| 1990 | 1 | |
| 2000 | 93 | |
| 2010 | 1 | |
| 2020 | 1 | |
| 2030 | 1 | |
| 2031 | 1 | |
| 2032 | 1 | |
| 2048 | 1 | |
| 2050 | 2 | |
| 2100 | 14 | |
| 2120 | 1 | |
| 2139 | 1 | |
| 2150 | 2 | |
| 2170 | 1 | |
| 2200 | 43 | |
| 2216 | 1 | |
| 2250 | 7 | |
| 2258 | 1 | |
| 2284 | 1 | |
| 2300 | 22 | |
| 2310 | 1 | |
| 2320 | 1 | |
| 2350 | 1 | |
| 2400 | 17 | |
| 2450 | 1 | |
| 2500 | 44 | |
| 2510 | 1 | |
| 2580 | 1 | |
| 2597 | 1 | |
| 2600 | 15 | |
| 2670 | 1 | |
| 2700 | 9 | |
| 2750 | 1 | |
| 2800 | 18 | |
| 2820 | 1 | |
| 2850 | 1 | |
| 2880 | 2 | |
| 2900 | 3 | |
| 3000 | 51 | |
| 3030 | 1 | |
| 3050 | 2 | |
| 3100 | 12 | |
| 3200 | 12 | |
| 3250 | 3 | |
| 3300 | 5 | |
| 3400 | 4 | |
| 3416 | 1 | |
| 3500 | 24 | |
| 3600 | 7 | |
| 3700 | 3 | |
| 3800 | 2 | |
| 3900 | 2 | |
| 4000 | 34 | |
| 4005 | 1 | |
| 4100 | 3 | |
| 4150 | 1 | |
| 4200 | 3 | |
| 4300 | 2 | |
| 4400 | 1 | |
| 4500 | 13 | |
| 4600 | 1 | |
| 4700 | 1 | |
| 4800 | 3 | |
| 4833 | 1 | |
| 4900 | 1 | |
| 5000 | 18 | |
| 5200 | 2 | |
| 5800 | 2 | |
| 6000 | 7 | |
| 6200 | 1 | |
| 6400 | 1 | |
| 6500 | 3 | |
| 6600 | 2 | |
| 6850 | 1 | |
| 7000 | 4 | |
| 7500 | 3 | |
| 7900 | 1 | |
| 8000 | 1 | |
| 9000 | 2 | |
| 9999 | 1 | |
| 13000 | 1 | |
| 14705 | 1 | |
| 17000 | 1 | |
| 19000 | 1 | |
| 22700 | 1 | |
| 30000 | 2 | |
| 35000 | 2 | |
| 39500 | 1 | |
| 40000 | 1 | |
| 44000 | 1 | |
| 0 | No own income, not in paid work | 2 |
| 999990 | NAP, other countries | 35326 |
| 999997 | Refused | 0 |
| 999998 | DK | 0 |
| 999999 | NA | 199 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1153 | 35527 |
Valid range from 2 to 44000
fla_rinc R: Earnings: Flanders
| Value 120127 | Frequency | |
|---|---|---|
| 250 | 56 | |
| 550 | 18 | |
| 650 | 18 | |
| 750 | 35 | |
| 850 | 56 | |
| 950 | 46 | |
| 1050 | 79 | |
| 1150 | 70 | |
| 1250 | 85 | |
| 1350 | 76 | |
| 1450 | 62 | |
| 1550 | 69 | |
| 1650 | 58 | |
| 1750 | 42 | |
| 1850 | 26 | |
| 1950 | 34 | |
| 2050 | 34 | |
| 2150 | 33 | |
| 2250 | 23 | |
| 2350 | 13 | |
| 2450 | 15 | |
| 2550 | 14 | |
| 2650 | 9 | |
| 2750 | 5 | |
| 2850 | 7 | |
| 2950 | 5 | |
| 3050 | 3 | |
| 3150 | 5 | |
| 3250 | 5 | |
| 3350 | 5 | |
| 3450 | 3 | |
| 3550 | 5 | |
| 3650 | 2 | |
| 3825 | 7 | |
| 4075 | 1 | |
| 4325 | 2 | |
| 4575 | 3 | |
| 5075 | 2 | |
| 5325 | 1 | |
| 6700 | 2 | |
| 0 | No own income, not in paid work | 171 |
| 999990 | NAP, other countries | 35423 |
| 999997 | Refused | 29 |
| 999998 | DK | 23 |
| 999999 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1034 | 35646 |
Valid range from 250 to 6700
fr_rinc R: Earnings: France
| Value 121126 | Frequency | |
|---|---|---|
| 305 | 305 euros | 63 |
| 610 | 610 euros | 156 |
| 915 | 915 euros | 297 |
| 1296 | 1296 euros | 412 |
| 1906 | 1906euros | 344 |
| 2668 | 2668 euros | 138 |
| 3430 | 3430 euros | 51 |
| 4192 | 4192 euros | 35 |
| 5335 | 5335 euros | 40 |
| 6860 | 6860 euros | 14 |
| 9909 | 9909 euros | 19 |
| 0 | No own income,not in paid work | 115 |
| 999990 | NAP, other countries | 34619 |
| 999997 | Refused | 0 |
| 999998 | DK | 0 |
| 999999 | NA | 377 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1569 | 35111 |
Valid range from 305 to 9909
hr_rinc R: Earnings: Croatia
| Value 122125 | Frequency | |
|---|---|---|
| 150 | 150 | 1 |
| 200 | 1 | |
| 270 | 1 | |
| 280 | 1 | |
| 300 | 2 | |
| 340 | 1 | |
| 400 | 5 | |
| 450 | 1 | |
| 494 | 1 | |
| 500 | 8 | |
| 560 | 1 | |
| 600 | 5 | |
| 630 | 1 | |
| 641 | 1 | |
| 700 | 3 | |
| 800 | 8 | |
| 870 | 1 | |
| 880 | 1 | |
| 890 | 1 | |
| 900 | 6 | |
| 930 | 1 | |
| 950 | 1 | |
| 1000 | 22 | |
| 1070 | 1 | |
| 1100 | 10 | |
| 1120 | 1 | |
| 1140 | 1 | |
| 1156 | 1 | |
| 1160 | 1 | |
| 1200 | 11 | |
| 1240 | 1 | |
| 1260 | 1 | |
| 1300 | 10 | |
| 1350 | 3 | |
| 1400 | 9 | |
| 1430 | 1 | |
| 1450 | 2 | |
| 1490 | 1 | |
| 1500 | 32 | |
| 1530 | 1 | |
| 1550 | 1 | |
| 1574 | 1 | |
| 1600 | 18 | |
| 1620 | 1 | |
| 1650 | 4 | |
| 1690 | 1 | |
| 1700 | 7 | |
| 1750 | 1 | |
| 1800 | 13 | |
| 1840 | 1 | |
| 1897 | 1 | |
| 1900 | 5 | |
| 1920 | 1 | |
| 1950 | 1 | |
| 1980 | 1 | |
| 2000 | 43 | |
| 2025 | 1 | |
| 2030 | 1 | |
| 2050 | 1 | |
| 2070 | 1 | |
| 2100 | 10 | |
| 2195 | 1 | |
| 2200 | 20 | |
| 2250 | 1 | |
| 2300 | 14 | |
| 2309 | 1 | |
| 2400 | 10 | |
| 2450 | 1 | |
| 2460 | 1 | |
| 2500 | 38 | |
| 2600 | 14 | |
| 2642 | 1 | |
| 2700 | 10 | |
| 2750 | 1 | |
| 2800 | 11 | |
| 2850 | 1 | |
| 2900 | 5 | |
| 2930 | 1 | |
| 3000 | 47 | |
| 3030 | 1 | |
| 3090 | 1 | |
| 3100 | 3 | |
| 3200 | 9 | |
| 3300 | 4 | |
| 3400 | 6 | |
| 3500 | 31 | |
| 3600 | 4 | |
| 3700 | 3 | |
| 3800 | 9 | |
| 3900 | 3 | |
| 4000 | 50 | |
| 4100 | 1 | |
| 4200 | 5 | |
| 4300 | 5 | |
| 4400 | 1 | |
| 4500 | 25 | |
| 4600 | 1 | |
| 4700 | 6 | |
| 4800 | 4 | |
| 4820 | 1 | |
| 5000 | 34 | |
| 5040 | 1 | |
| 5200 | 2 | |
| 5300 | 2 | |
| 5450 | 1 | |
| 5500 | 11 | |
| 5600 | 1 | |
| 5700 | 1 | |
| 6000 | 26 | |
| 6200 | 2 | |
| 6500 | 5 | |
| 7000 | 8 | |
| 7200 | 1 | |
| 7300 | 1 | |
| 7700 | 1 | |
| 8000 | 6 | |
| 8500 | 2 | |
| 9500 | 1 | |
| 10000 | 3 | |
| 11000 | 2 | |
| 20000 | 1 | |
| 30000 | 1 | |
| 50000 | 50000 | 1 |
| 0 | 248 | |
| 999990 | NAP, other countries | 35480 |
| 999997 | 101 | |
| 999998 | DK | 18 |
| 999999 | NA | 93 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 740 | 35940 |
Valid range from 150 to 50000
il_rinc R: Earnings: Israel
| Value 123124 | Frequency | |
|---|---|---|
| 1000 | 2000 nis and under | 99 |
| 3000 | 2001-4000 nis | 178 |
| 5000 | 4001-6000 nis | 171 |
| 7000 | 6001-8000 nis | 93 |
| 9000 | 8001-10000 nis | 60 |
| 13000 | 10001-15000 nis | 28 |
| 15500 | more than 15000 nis | 21 |
| 0 | No own income, not in paid work | 572 |
| 999990 | NAP, other countries | 35335 |
| 999997 | Refused | 72 |
| 999998 | DK | 4 |
| 999999 | NA | 47 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 650 | 36030 |
Valid range from 1000 to 15500
jp_rinc R: Earnings: Japan
| Value 124123 | Frequency | |
|---|---|---|
| 500 | 500.000 yen | 239 |
| 1500 | 1.500.000 yen | 187 |
| 2500 | 2.500.000 yen | 167 |
| 3500 | 3.500.000 yen | 128 |
| 4500 | 4.500.000 yen | 83 |
| 5500 | 5.500.000 yen | 39 |
| 6500 | 6.500.000 yen | 45 |
| 7500 | 7.500.000 yen | 37 |
| 8500 | 8.500.000 yen | 16 |
| 9500 | 9.500.000 yen | 11 |
| 11000 | 11.000.000 yen | 15 |
| 13500 | 13.500.000 yen | 5 |
| 20000 | 20.000.000 yen | 7 |
| 0 | No own income, not in paid work | 207 |
| 999990 | NAP, other countries | 35427 |
| 999997 | Refused | 0 |
| 999998 | DK | 0 |
| 999999 | NA | 67 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 979 | 35701 |
Valid range from 500 to 20000
kr_rinc R: Earnings: South Korea
| Value 125122 | Frequency | |
|---|---|---|
| 6 | 60.000 won | 1 |
| 10 | 4 | |
| 15 | 2 | |
| 16 | 1 | |
| 20 | 8 | |
| 24 | 1 | |
| 25 | 2 | |
| 29 | 1 | |
| 30 | 11 | |
| 35 | 3 | |
| 40 | 8 | |
| 45 | 2 | |
| 50 | 20 | |
| 54 | 1 | |
| 55 | 5 | |
| 60 | 12 | |
| 64 | 2 | |
| 65 | 4 | |
| 70 | 19 | |
| 75 | 9 | |
| 76 | 2 | |
| 80 | 25 | |
| 82 | 1 | |
| 85 | 1 | |
| 86 | 1 | |
| 90 | 11 | |
| 95 | 2 | |
| 100 | 76 | |
| 110 | 5 | |
| 120 | 20 | |
| 125 | 5 | |
| 130 | 10 | |
| 140 | 10 | |
| 150 | 49 | |
| 155 | 2 | |
| 160 | 7 | |
| 170 | 9 | |
| 175 | 8 | |
| 180 | 18 | |
| 185 | 2 | |
| 190 | 3 | |
| 195 | 1 | |
| 200 | 86 | |
| 210 | 3 | |
| 220 | 7 | |
| 225 | 2 | |
| 230 | 6 | |
| 240 | 2 | |
| 250 | 61 | |
| 260 | 5 | |
| 270 | 4 | |
| 275 | 4 | |
| 280 | 2 | |
| 298 | 1 | |
| 300 | 78 | |
| 310 | 1 | |
| 320 | 1 | |
| 325 | 1 | |
| 330 | 1 | |
| 333 | 1 | |
| 350 | 19 | |
| 360 | 1 | |
| 370 | 2 | |
| 375 | 1 | |
| 380 | 1 | |
| 400 | 28 | |
| 420 | 1 | |
| 425 | 1 | |
| 430 | 2 | |
| 450 | 6 | |
| 460 | 1 | |
| 500 | 36 | |
| 525 | 1 | |
| 540 | 2 | |
| 550 | 4 | |
| 580 | 2 | |
| 600 | 8 | |
| 650 | 1 | |
| 700 | 4 | |
| 800 | 3 | |
| 850 | 1 | |
| 1000 | 2 | |
| 1500 | 1 | |
| 2000 | 2 | |
| 3000 | 30.000.000 won | 1 |
| 0 | No income | 628 |
| 999990 | NAP. other countries | 35249 |
| 999997 | Refused | 0 |
| 999998 | DK | 0 |
| 999999 | NA | 22 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 781 | 35899 |
Valid range from 6 to 3000
lv_rinc R: Earnings: Latvia
| Value 126121 | Frequency | |
|---|---|---|
| 6 | 2 | |
| 7 | 7 | |
| 8 | 2 | |
| 10 | 4 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 1 | |
| 20 | 5 | |
| 30 | 3 | |
| 35 | 1 | |
| 36 | 3 | |
| 38 | 1 | |
| 39 | 1 | |
| 40 | 3 | |
| 42 | 1 | |
| 45 | 3 | |
| 47 | 1 | |
| 50 | 6 | |
| 56 | 1 | |
| 58 | 2 | |
| 60 | 5 | |
| 62 | 3 | |
| 65 | 3 | |
| 69 | 1 | |
| 70 | 5 | |
| 72 | 1 | |
| 73 | 1 | |
| 74 | 1 | |
| 75 | 3 | |
| 76 | 1 | |
| 78 | 1 | |
| 79 | 1 | |
| 80 | 13 | |
| 84 | 5 | |
| 85 | 6 | |
| 86 | 3 | |
| 87 | 5 | |
| 88 | 2 | |
| 89 | 2 | |
| 90 | 9 | |
| 91 | 1 | |
| 92 | 4 | |
| 93 | 3 | |
| 94 | 12 | |
| 95 | 4 | |
| 96 | 10 | |
| 97 | 4 | |
| 98 | 14 | |
| 100 | 40 | |
| 101 | 5 | |
| 102 | 9 | |
| 103 | 4 | |
| 104 | 3 | |
| 105 | 7 | |
| 106 | 5 | |
| 108 | 1 | |
| 109 | 2 | |
| 110 | 7 | |
| 111 | 2 | |
| 112 | 1 | |
| 113 | 2 | |
| 115 | 2 | |
| 116 | 4 | |
| 117 | 1 | |
| 118 | 1 | |
| 119 | 1 | |
| 120 | 26 | |
| 122 | 1 | |
| 125 | 1 | |
| 126 | 2 | |
| 127 | 1 | |
| 128 | 2 | |
| 130 | 8 | |
| 132 | 2 | |
| 135 | 2 | |
| 136 | 1 | |
| 140 | 9 | |
| 142 | 1 | |
| 143 | 1 | |
| 144 | 1 | |
| 145 | 3 | |
| 146 | 3 | |
| 147 | 3 | |
| 150 | 23 | |
| 153 | 1 | |
| 157 | 1 | |
| 160 | 13 | |
| 164 | 1 | |
| 165 | 1 | |
| 167 | 1 | |
| 170 | 7 | |
| 175 | 1 | |
| 177 | 1 | |
| 180 | 19 | |
| 182 | 1 | |
| 183 | 1 | |
| 185 | 1 | |
| 186 | 2 | |
| 190 | 4 | |
| 192 | 2 | |
| 200 | 39 | |
| 202 | 2 | |
| 210 | 5 | |
| 211 | 1 | |
| 215 | 1 | |
| 219 | 1 | |
| 220 | 13 | |
| 224 | 1 | |
| 230 | 10 | |
| 235 | 1 | |
| 240 | 4 | |
| 250 | 31 | |
| 256 | 1 | |
| 259 | 1 | |
| 260 | 9 | |
| 265 | 1 | |
| 270 | 4 | |
| 278 | 1 | |
| 280 | 19 | |
| 287 | 1 | |
| 289 | 1 | |
| 290 | 1 | |
| 300 | 43 | |
| 320 | 2 | |
| 330 | 2 | |
| 340 | 1 | |
| 350 | 16 | |
| 370 | 4 | |
| 380 | 3 | |
| 385 | 1 | |
| 397 | 1 | |
| 400 | 29 | |
| 410 | 1 | |
| 420 | 3 | |
| 442 | 1 | |
| 450 | 9 | |
| 460 | 2 | |
| 480 | 1 | |
| 500 | 17 | |
| 550 | 1 | |
| 586 | 1 | |
| 596 | 1 | |
| 600 | 14 | |
| 648 | 1 | |
| 670 | 1 | |
| 680 | 1 | |
| 700 | 7 | |
| 750 | 1 | |
| 800 | 7 | |
| 880 | 1 | |
| 900 | 3 | |
| 1000 | 6 | |
| 2000 | 1 | |
| 0 | No own income,not in paid work | 63 |
| 999990 | NAP, other countries | 35611 |
| 999997 | 226 | |
| 999998 | Dont know | 30 |
| 999999 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 750 | 35930 |
Valid range from 6 to 2000
mx_rinc R: Earnings: Mexico
| Value 127120 | Frequency | |
|---|---|---|
| 500 | 1 | |
| 700 | 1 | |
| 900 | 1 | |
| 1000 | 8 | |
| 1200 | 9 | |
| 1400 | 1 | |
| 1500 | 22 | |
| 1600 | 8 | |
| 1700 | 2 | |
| 1800 | 6 | |
| 1900 | 3 | |
| 2000 | 66 | |
| 2100 | 2 | |
| 2200 | 7 | |
| 2300 | 2 | |
| 2400 | 15 | |
| 2500 | 19 | |
| 2600 | 4 | |
| 2800 | 8 | |
| 2930 | 1 | |
| 3000 | 57 | |
| 3100 | 1 | |
| 3200 | 13 | |
| 3300 | 1 | |
| 3400 | 5 | |
| 3500 | 23 | |
| 3600 | 6 | |
| 3700 | 1 | |
| 3800 | 3 | |
| 3900 | 1 | |
| 4000 | 62 | |
| 4200 | 4 | |
| 4300 | 1 | |
| 4500 | 13 | |
| 4600 | 3 | |
| 4800 | 9 | |
| 5000 | 59 | |
| 5200 | 4 | |
| 5500 | 5 | |
| 5600 | 3 | |
| 6000 | 64 | |
| 6200 | 1 | |
| 6400 | 2 | |
| 6500 | 6 | |
| 6700 | 2 | |
| 6800 | 1 | |
| 6900 | 1 | |
| 7000 | 30 | |
| 7500 | 3 | |
| 7600 | 2 | |
| 7800 | 2 | |
| 8000 | 46 | |
| 8300 | 1 | |
| 8500 | 2 | |
| 8600 | 1 | |
| 8900 | 1 | |
| 9000 | 11 | |
| 9500 | 2 | |
| 10000 | 29 | |
| 11000 | 2 | |
| 12000 | 12 | |
| 12600 | 1 | |
| 13000 | 2 | |
| 13500 | 1 | |
| 14000 | 3 | |
| 14250 | 1 | |
| 15000 | 12 | |
| 16000 | 7 | |
| 18000 | 2 | |
| 19000 | 1 | |
| 20000 | 6 | |
| 25000 | 1 | |
| 26000 | 1 | |
| 30000 | 2 | |
| 40000 | 1 | |
| 0 | No own income, not in paid work | 91 |
| 999990 | NAP, other countries | 35073 |
| 999997 | Refused | 64 |
| 999998 | DK | 127 |
| 999999 | NA | 603 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 722 | 35958 |
Valid range from 500 to 40000
no_rinc R: Earnings: Norway
| Value 128119 | Frequency | |
|---|---|---|
| 5 | 5.000 Norwegian Kroner | 2 |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 | |
| 20 | 4 | |
| 22 | 1 | |
| 24 | 1 | |
| 27 | 1 | |
| 30 | 2 | |
| 31 | 1 | |
| 36 | 1 | |
| 40 | 7 | |
| 45 | 1 | |
| 50 | 12 | |
| 60 | 8 | |
| 65 | 1 | |
| 70 | 5 | |
| 74 | 1 | |
| 75 | 1 | |
| 80 | 5 | |
| 84 | 2 | |
| 87 | 1 | |
| 90 | 4 | |
| 95 | 1 | |
| 97 | 1 | |
| 98 | 2 | |
| 99 | 1 | |
| 100 | 24 | |
| 101 | 1 | |
| 110 | 4 | |
| 111 | 1 | |
| 112 | 1 | |
| 113 | 1 | |
| 115 | 1 | |
| 120 | 16 | |
| 121 | 1 | |
| 125 | 2 | |
| 130 | 10 | |
| 132 | 1 | |
| 134 | 1 | |
| 135 | 1 | |
| 138 | 1 | |
| 140 | 8 | |
| 145 | 4 | |
| 146 | 1 | |
| 149 | 1 | |
| 150 | 23 | |
| 156 | 1 | |
| 157 | 1 | |
| 158 | 1 | |
| 160 | 7 | |
| 165 | 2 | |
| 169 | 1 | |
| 170 | 11 | |
| 172 | 1 | |
| 174 | 1 | |
| 175 | 4 | |
| 176 | 1 | |
| 178 | 1 | |
| 180 | 18 | |
| 185 | 1 | |
| 187 | 1 | |
| 190 | 6 | |
| 197 | 1 | |
| 200 | 51 | |
| 204 | 2 | |
| 205 | 1 | |
| 208 | 2 | |
| 209 | 1 | |
| 210 | 10 | |
| 211 | 1 | |
| 213 | 1 | |
| 218 | 1 | |
| 220 | 13 | |
| 221 | 1 | |
| 225 | 2 | |
| 227 | 1 | |
| 228 | 1 | |
| 230 | 8 | |
| 235 | 2 | |
| 236 | 1 | |
| 240 | 10 | |
| 249 | 1 | |
| 250 | 40 | |
| 254 | 1 | |
| 257 | 2 | |
| 258 | 2 | |
| 260 | 16 | |
| 262 | 1 | |
| 264 | 1 | |
| 265 | 2 | |
| 266 | 1 | |
| 267 | 1 | |
| 268 | 1 | |
| 269 | 1 | |
| 270 | 12 | |
| 271 | 1 | |
| 273 | 1 | |
| 275 | 4 | |
| 278 | 1 | |
| 280 | 25 | |
| 282 | 1 | |
| 283 | 2 | |
| 285 | 1 | |
| 290 | 13 | |
| 295 | 2 | |
| 297 | 1 | |
| 300 | 72 | |
| 304 | 2 | |
| 305 | 4 | |
| 309 | 1 | |
| 310 | 11 | |
| 312 | 1 | |
| 314 | 1 | |
| 315 | 1 | |
| 320 | 22 | |
| 322 | 1 | |
| 325 | 2 | |
| 330 | 11 | |
| 335 | 4 | |
| 336 | 1 | |
| 337 | 1 | |
| 340 | 16 | |
| 344 | 1 | |
| 345 | 2 | |
| 349 | 1 | |
| 350 | 50 | |
| 351 | 1 | |
| 354 | 1 | |
| 356 | 1 | |
| 360 | 15 | |
| 362 | 1 | |
| 365 | 2 | |
| 370 | 8 | |
| 375 | 5 | |
| 376 | 1 | |
| 380 | 14 | |
| 384 | 1 | |
| 385 | 1 | |
| 386 | 1 | |
| 387 | 1 | |
| 390 | 3 | |
| 395 | 1 | |
| 398 | 1 | |
| 400 | 48 | |
| 402 | 1 | |
| 410 | 5 | |
| 420 | 12 | |
| 425 | 2 | |
| 430 | 3 | |
| 435 | 1 | |
| 440 | 1 | |
| 450 | 36 | |
| 460 | 2 | |
| 465 | 1 | |
| 470 | 5 | |
| 475 | 1 | |
| 480 | 10 | |
| 490 | 3 | |
| 500 | 39 | |
| 520 | 3 | |
| 525 | 2 | |
| 530 | 2 | |
| 550 | 12 | |
| 559 | 1 | |
| 600 | 16 | |
| 650 | 7 | |
| 660 | 1 | |
| 667 | 1 | |
| 670 | 1 | |
| 675 | 1 | |
| 680 | 2 | |
| 700 | 11 | |
| 720 | 3 | |
| 730 | 1 | |
| 750 | 6 | |
| 780 | 1 | |
| 800 | 8 | |
| 820 | 1 | |
| 850 | 1 | |
| 900 | 9 | |
| 950 | 1 | |
| 1000 | 10 | |
| 1200 | 2 | |
| 1500 | 3 | |
| 1540 | 1 | |
| 2000 | 1 | |
| 2200 | 1 | |
| 30000 | 30.000.000 | 1 |
| 0 | No own income, not in paid work | 0 |
| 999990 | NAP, other countries | 35537 |
| 999997 | Refused | 0 |
| 999998 | DK | 0 |
| 999999 | NA | 125 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1018 | 35662 |
Valid range from 5 to 30000
nz_rinc R: Earnings: New Zealand
| Value 129118 | Frequency | |
|---|---|---|
| 5000 | 5 000$ | 86 |
| 12500 | 10 000$-15 000$ | 120 |
| 17500 | 15 000$-20 000$ | 98 |
| 22500 | 20 000$-25 000$ | 76 |
| 27500 | 25 000$-30 000$ | 73 |
| 35000 | 30 000$-40 000$ | 130 |
| 45000 | 40 000$-50 000$ | 106 |
| 60000 | 50 000$-70 000$ | 128 |
| 85000 | 70 000$-100 000$ | 65 |
| 120000 | > 100 000$ | 63 |
| 0 | No own income, not in paid work | 0 |
| 999990 | NAP, other countries | 35684 |
| 999997 | Refused | 0 |
| 999998 | DK | 0 |
| 999999 | NA | 51 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 945 | 35735 |
Valid range from 5000 to 120000
ph_rinc R: Earnings: Philippines
| Value 130117 | Frequency | |
|---|---|---|
| 150 | 1 | |
| 200 | 3 | |
| 250 | 1 | |
| 300 | 4 | |
| 350 | 1 | |
| 400 | 1 | |
| 500 | 25 | |
| 600 | 4 | |
| 700 | 1 | |
| 800 | 8 | |
| 900 | 2 | |
| 1000 | 57 | |
| 1200 | 9 | |
| 1300 | 1 | |
| 1400 | 4 | |
| 1500 | 35 | |
| 1600 | 4 | |
| 1700 | 2 | |
| 1779 | 1 | |
| 1800 | 3 | |
| 1900 | 1 | |
| 1920 | 1 | |
| 2000 | 55 | |
| 2100 | 1 | |
| 2200 | 3 | |
| 2300 | 1 | |
| 2400 | 5 | |
| 2500 | 9 | |
| 2600 | 2 | |
| 2800 | 3 | |
| 2880 | 1 | |
| 3000 | 88 | |
| 3200 | 2 | |
| 3300 | 1 | |
| 3360 | 1 | |
| 3500 | 11 | |
| 3600 | 3 | |
| 3700 | 1 | |
| 3800 | 1 | |
| 3900 | 1 | |
| 4000 | 41 | |
| 4300 | 1 | |
| 4320 | 1 | |
| 4500 | 8 | |
| 4800 | 1 | |
| 5000 | 72 | |
| 5200 | 1 | |
| 5500 | 3 | |
| 5600 | 1 | |
| 5800 | 2 | |
| 6000 | 35 | |
| 6500 | 3 | |
| 6700 | 1 | |
| 6800 | 1 | |
| 7000 | 20 | |
| 7200 | 3 | |
| 7260 | 1 | |
| 7500 | 4 | |
| 7800 | 1 | |
| 8000 | 22 | |
| 8800 | 2 | |
| 9000 | 22 | |
| 9600 | 1 | |
| 10000 | 38 | |
| 10500 | 1 | |
| 10860 | 1 | |
| 11000 | 6 | |
| 12000 | 11 | |
| 12500 | 1 | |
| 12700 | 1 | |
| 13000 | 4 | |
| 13935 | 1 | |
| 14000 | 4 | |
| 15000 | 15 | |
| 16000 | 4 | |
| 17000 | 1 | |
| 18000 | 4 | |
| 19000 | 1 | |
| 20000 | 3 | |
| 20500 | 1 | |
| 21000 | 1 | |
| 27000 | 1 | |
| 30000 | 5 | |
| 60000 | 1 | |
| 90000 | 1 | |
| 0 | No own income, not in paid work | 452 |
| 999990 | NAP, other countries | 35480 |
| 999997 | Refused | 0 |
| 999998 | DK | 11 |
| 999999 | NA | 26 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 711 | 35969 |
Valid range from 150 to 90000
pl_rinc R: Earnings: Poland
| Value 131116 | Frequency | |
|---|---|---|
| 200 | 1 | |
| 252 | 1 | |
| 300 | 10 | |
| 320 | 1 | |
| 400 | 8 | |
| 430 | 2 | |
| 470 | 1 | |
| 500 | 15 | |
| 550 | 2 | |
| 560 | 1 | |
| 580 | 1 | |
| 600 | 4 | |
| 649 | 1 | |
| 660 | 1 | |
| 675 | 1 | |
| 700 | 17 | |
| 720 | 1 | |
| 730 | 1 | |
| 750 | 1 | |
| 760 | 1 | |
| 780 | 1 | |
| 795 | 1 | |
| 800 | 19 | |
| 816 | 1 | |
| 830 | 1 | |
| 840 | 1 | |
| 845 | 2 | |
| 850 | 6 | |
| 890 | 1 | |
| 900 | 16 | |
| 920 | 2 | |
| 925 | 1 | |
| 950 | 1 | |
| 1000 | 57 | |
| 1050 | 1 | |
| 1080 | 1 | |
| 1100 | 14 | |
| 1200 | 43 | |
| 1260 | 1 | |
| 1300 | 19 | |
| 1350 | 1 | |
| 1400 | 17 | |
| 1450 | 1 | |
| 1500 | 24 | |
| 1600 | 14 | |
| 1650 | 1 | |
| 1700 | 11 | |
| 1750 | 1 | |
| 1800 | 21 | |
| 1900 | 1 | |
| 2000 | 62 | |
| 2200 | 8 | |
| 2300 | 4 | |
| 2400 | 3 | |
| 2500 | 21 | |
| 2600 | 1 | |
| 2700 | 1 | |
| 2800 | 3 | |
| 2900 | 1 | |
| 3000 | 16 | |
| 3500 | 10 | |
| 3600 | 1 | |
| 4000 | 10 | |
| 4250 | 1 | |
| 4500 | 3 | |
| 5000 | 7 | |
| 5500 | 2 | |
| 6000 | 2 | |
| 7000 | 1 | |
| 8000 | 1 | |
| 10000 | 3 | |
| 0 | No own income, not in paid work | 710 |
| 999990 | NAP, other countries | 35387 |
| 999998 | DK | 25 |
| 999999 | NA/refused | 45 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 513 | 36167 |
Valid range from 200 to 10000
ru_rinc R: Earnings: Russia
| Value 132115 | Frequency | |
|---|---|---|
| 800 | 2 | |
| 1000 | 2 | |
| 1100 | 2 | |
| 1200 | 1 | |
| 1238 | 1 | |
| 1300 | 1 | |
| 1350 | 2 | |
| 1356 | 1 | |
| 1400 | 2 | |
| 1500 | 10 | |
| 1510 | 1 | |
| 1700 | 1 | |
| 1800 | 1 | |
| 1940 | 1 | |
| 1950 | 1 | |
| 2000 | 26 | |
| 2007 | 1 | |
| 2200 | 2 | |
| 2300 | 1 | |
| 2400 | 1 | |
| 2490 | 1 | |
| 2500 | 4 | |
| 2600 | 4 | |
| 2645 | 1 | |
| 2700 | 3 | |
| 2750 | 1 | |
| 2800 | 6 | |
| 3000 | 47 | |
| 3107 | 1 | |
| 3300 | 2 | |
| 3400 | 3 | |
| 3500 | 14 | |
| 3600 | 1 | |
| 3700 | 2 | |
| 3800 | 1 | |
| 3820 | 1 | |
| 3900 | 2 | |
| 4000 | 51 | |
| 4100 | 1 | |
| 4200 | 1 | |
| 4300 | 1 | |
| 4500 | 18 | |
| 4600 | 1 | |
| 4700 | 2 | |
| 4770 | 1 | |
| 4800 | 1 | |
| 5000 | 54 | |
| 5100 | 1 | |
| 5300 | 1 | |
| 5500 | 6 | |
| 5600 | 1 | |
| 5700 | 1 | |
| 5800 | 2 | |
| 6000 | 63 | |
| 6100 | 1 | |
| 6500 | 9 | |
| 6700 | 1 | |
| 6800 | 1 | |
| 6900 | 1 | |
| 7000 | 49 | |
| 7200 | 2 | |
| 7350 | 1 | |
| 7500 | 7 | |
| 7600 | 1 | |
| 8000 | 58 | |
| 8200 | 2 | |
| 8500 | 5 | |
| 9000 | 30 | |
| 9500 | 2 | |
| 10000 | 90 | |
| 11000 | 9 | |
| 12000 | 47 | |
| 12500 | 3 | |
| 13000 | 21 | |
| 14000 | 16 | |
| 14500 | 1 | |
| 15000 | 45 | |
| 15500 | 1 | |
| 16000 | 18 | |
| 16350 | 1 | |
| 16500 | 1 | |
| 16800 | 1 | |
| 17000 | 12 | |
| 17500 | 1 | |
| 18000 | 12 | |
| 18500 | 1 | |
| 19000 | 2 | |
| 20000 | 46 | |
| 21000 | 1 | |
| 22000 | 2 | |
| 23000 | 1 | |
| 24000 | 4 | |
| 25000 | 13 | |
| 26500 | 1 | |
| 27000 | 4 | |
| 28000 | 2 | |
| 30000 | 14 | |
| 32000 | 1 | |
| 35000 | 3 | |
| 38000 | 1 | |
| 40000 | 4 | |
| 42000 | 1 | |
| 45000 | 1 | |
| 50000 | 3 | |
| 55000 | 2 | |
| 100000 | 2 | |
| 105000 | 1 | |
| 0 | No own income, not in paid work | 959 |
| 999990 | NAP, other countries | 34675 |
| 999997 | Refused | 0 |
| 999998 | DK | 127 |
| 999999 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 919 | 35761 |
Valid range from 800 to 105000
se_rinc R: Earnings: Sweden
| Value 133114 | Frequency | |
|---|---|---|
| 1000 | 10 | |
| 2000 | 10 | |
| 3000 | 8 | |
| 4000 | 3 | |
| 5000 | 7 | |
| 6000 | 9 | |
| 7000 | 36 | |
| 8000 | 21 | |
| 9000 | 27 | |
| 10000 | 29 | |
| 11000 | 15 | |
| 12000 | 38 | |
| 13000 | 27 | |
| 14000 | 31 | |
| 15000 | 64 | |
| 16000 | 39 | |
| 17000 | 40 | |
| 18000 | 62 | |
| 19000 | 49 | |
| 20000 | 95 | |
| 21000 | 43 | |
| 22000 | 59 | |
| 23000 | 37 | |
| 24000 | 47 | |
| 25000 | 60 | |
| 26000 | 26 | |
| 27000 | 24 | |
| 28000 | 19 | |
| 29000 | 13 | |
| 30000 | 43 | |
| 31000 | 6 | |
| 32000 | 9 | |
| 33000 | 11 | |
| 34000 | 3 | |
| 35000 | 21 | |
| 36000 | 4 | |
| 38000 | 6 | |
| 39000 | 3 | |
| 40000 | 15 | |
| 41000 | 2 | |
| 42000 | 2 | |
| 43000 | 3 | |
| 45000 | 10 | |
| 46000 | 2 | |
| 47000 | 2 | |
| 49000 | 2 | |
| 50000 | 10 | |
| 51000 | 1 | |
| 53000 | 1 | |
| 54000 | 3 | |
| 55000 | 4 | |
| 57000 | 1 | |
| 60000 | 3 | |
| 65000 | 1 | |
| 67000 | 1 | |
| 70000 | 3 | |
| 75000 | 1 | |
| 78000 | 1 | |
| 80000 | 2 | |
| 83000 | 1 | |
| 85000 | 1 | |
| 99000 | 1 | |
| 110000 | 1 | |
| 140000 | 1 | |
| 220000 | 1 | |
| 0 | No own income, not in paid work | 0 |
| 999990 | NAP, other countries | 35371 |
| 999998 | DK | 0 |
| 999999 | NA | 179 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1130 | 35550 |
Valid range from 1000 to 220000
si_rinc R: Earnings: Slovenia
| Value 134113 | Frequency | |
|---|---|---|
| 10 | 10.000 | 1 |
| 27 | 1 | |
| 30 | 2 | |
| 31 | 1 | |
| 32 | 2 | |
| 34 | 1 | |
| 35 | 4 | |
| 36 | 2 | |
| 37 | 2 | |
| 38 | 1 | |
| 39 | 2 | |
| 40 | 15 | |
| 41 | 1 | |
| 43 | 3 | |
| 45 | 6 | |
| 46 | 1 | |
| 48 | 6 | |
| 49 | 2 | |
| 50 | 15 | |
| 53 | 1 | |
| 56 | 1 | |
| 58 | 1 | |
| 60 | 7 | |
| 62 | 1 | |
| 64 | 1 | |
| 67 | 2 | |
| 70 | 8 | |
| 74 | 1 | |
| 75 | 2 | |
| 77 | 1 | |
| 78 | 2 | |
| 80 | 21 | |
| 82 | 3 | |
| 83 | 4 | |
| 84 | 4 | |
| 85 | 6 | |
| 86 | 1 | |
| 87 | 3 | |
| 88 | 1 | |
| 90 | 14 | |
| 92 | 1 | |
| 93 | 2 | |
| 94 | 4 | |
| 95 | 5 | |
| 96 | 1 | |
| 98 | 3 | |
| 100 | 34 | |
| 101 | 1 | |
| 102 | 2 | |
| 104 | 1 | |
| 105 | 2 | |
| 106 | 2 | |
| 107 | 1 | |
| 108 | 3 | |
| 110 | 14 | |
| 111 | 1 | |
| 114 | 2 | |
| 115 | 2 | |
| 117 | 1 | |
| 118 | 3 | |
| 119 | 2 | |
| 120 | 26 | |
| 122 | 1 | |
| 123 | 1 | |
| 125 | 3 | |
| 128 | 1 | |
| 130 | 27 | |
| 132 | 1 | |
| 135 | 4 | |
| 136 | 2 | |
| 137 | 1 | |
| 139 | 1 | |
| 140 | 19 | |
| 142 | 1 | |
| 146 | 1 | |
| 147 | 1 | |
| 150 | 55 | |
| 152 | 2 | |
| 153 | 1 | |
| 155 | 2 | |
| 160 | 17 | |
| 162 | 1 | |
| 170 | 11 | |
| 175 | 1 | |
| 178 | 2 | |
| 180 | 22 | |
| 187 | 1 | |
| 188 | 1 | |
| 190 | 3 | |
| 192 | 2 | |
| 195 | 1 | |
| 200 | 28 | |
| 205 | 1 | |
| 210 | 5 | |
| 215 | 2 | |
| 217 | 1 | |
| 220 | 7 | |
| 230 | 10 | |
| 240 | 6 | |
| 250 | 21 | |
| 260 | 2 | |
| 262 | 1 | |
| 270 | 1 | |
| 280 | 4 | |
| 290 | 1 | |
| 300 | 21 | |
| 310 | 2 | |
| 320 | 3 | |
| 330 | 5 | |
| 340 | 1 | |
| 350 | 8 | |
| 380 | 1 | |
| 400 | 4 | |
| 412 | 1 | |
| 420 | 1 | |
| 450 | 3 | |
| 480 | 1 | |
| 500 | 3 | |
| 631 | 1 | |
| 0 | No own income, not in paid work | 92 |
| 999990 | 35677 | |
| 999998 | 38 | |
| 999999 | 276 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 597 | 36083 |
Valid range from 10 to 631
tw_rinc R: Earnings: Taiwan
| Value 135112 | Frequency | |
|---|---|---|
| 2 | nt$10,000 or less | 417 |
| 3 | nt$10,001-nt$20,000 | 325 |
| 4 | nt$20,001-nt$30,000 | 343 |
| 5 | nt$30,001-nt$40,000 | 300 |
| 6 | nt$40,001-nt$50,000 | 171 |
| 7 | nt$50,001-nt$60,000 | 125 |
| 8 | nt$60,001-nt$70,000 | 68 |
| 9 | nt$70,001-nt$80,000 | 44 |
| 10 | nt$80,001-nt$90,000 | 22 |
| 11 | nt$90,001-nt$100,000 | 24 |
| 12 | nt$100,001-nt$110,000 | 18 |
| 13 | nt$110,001-nt$120,000 | 6 |
| 14 | nt$120,001-nt$130,000 | 8 |
| 15 | nt$130,001-nt$140,000 | 2 |
| 16 | nt$140,001-nt$150,000 | 4 |
| 17 | nt$150,001-nt$160,000 | 3 |
| 18 | nt$160,001-nt$170,000 | 1 |
| 19 | nt$170,001-nt$180,000 | 1 |
| 20 | nt$180,001-nt$190,000 | 1 |
| 21 | nt$190,001-nt$200,000 | 2 |
| 22 | nt$200,001-nt$300,000 | 7 |
| 23 | more than nt$300,000 | 7 |
| 0 | No own income, not in paid work | 223 |
| 999990 | NAP, other countries | 34533 |
| 999997 | refused | 21 |
| 999998 | dk | 4 |
| 999999 | na | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1899 | 34781 |
Valid range from 2 to 23
uy_rinc R: Earnings: Uruguay
| Value 136111 | Frequency | |
|---|---|---|
| 150 | 1 | |
| 200 | 1 | |
| 400 | 2 | |
| 500 | 2 | |
| 600 | 2 | |
| 700 | 2 | |
| 750 | 31 | |
| 800 | 1 | |
| 900 | 1 | |
| 994 | 1 | |
| 1000 | 14 | |
| 1048 | 1 | |
| 1120 | 1 | |
| 1200 | 5 | |
| 1300 | 5 | |
| 1400 | 7 | |
| 1500 | 16 | |
| 1600 | 8 | |
| 1605 | 1 | |
| 1700 | 2 | |
| 1723 | 1 | |
| 1750 | 1 | |
| 1761 | 1 | |
| 1800 | 4 | |
| 1860 | 1 | |
| 1900 | 1 | |
| 1930 | 1 | |
| 2000 | 56 | |
| 2025 | 1 | |
| 2042 | 1 | |
| 2099 | 1 | |
| 2180 | 1 | |
| 2200 | 2 | |
| 2282 | 1 | |
| 2300 | 3 | |
| 2400 | 8 | |
| 2415 | 1 | |
| 2500 | 19 | |
| 2566 | 1 | |
| 2600 | 1 | |
| 2700 | 2 | |
| 2739 | 1 | |
| 2780 | 1 | |
| 2800 | 5 | |
| 2850 | 1 | |
| 2900 | 1 | |
| 2930 | 1 | |
| 2992 | 1 | |
| 3000 | 93 | |
| 3100 | 3 | |
| 3118 | 1 | |
| 3184 | 1 | |
| 3200 | 6 | |
| 3250 | 1 | |
| 3300 | 2 | |
| 3400 | 1 | |
| 3500 | 18 | |
| 3596 | 1 | |
| 3600 | 7 | |
| 3690 | 1 | |
| 3700 | 2 | |
| 3800 | 4 | |
| 3900 | 3 | |
| 4000 | 86 | |
| 4013 | 1 | |
| 4080 | 1 | |
| 4100 | 2 | |
| 4200 | 3 | |
| 4241 | 1 | |
| 4300 | 2 | |
| 4331 | 1 | |
| 4450 | 1 | |
| 4500 | 20 | |
| 4600 | 1 | |
| 4700 | 3 | |
| 4735 | 1 | |
| 4800 | 6 | |
| 4900 | 1 | |
| 5000 | 91 | |
| 5150 | 1 | |
| 5200 | 2 | |
| 5300 | 1 | |
| 5400 | 2 | |
| 5500 | 13 | |
| 5600 | 2 | |
| 5800 | 2 | |
| 6000 | 44 | |
| 6196 | 1 | |
| 6200 | 3 | |
| 6270 | 1 | |
| 6300 | 1 | |
| 6337 | 1 | |
| 6400 | 1 | |
| 6469 | 1 | |
| 6500 | 8 | |
| 6554 | 1 | |
| 6600 | 1 | |
| 6700 | 1 | |
| 6800 | 2 | |
| 7000 | 89 | |
| 7136 | 1 | |
| 7400 | 2 | |
| 7500 | 4 | |
| 7800 | 1 | |
| 8000 | 36 | |
| 8200 | 3 | |
| 8400 | 1 | |
| 8500 | 6 | |
| 9000 | 74 | |
| 9100 | 1 | |
| 9200 | 1 | |
| 9500 | 1 | |
| 9640 | 1 | |
| 9800 | 1 | |
| 10000 | 34 | |
| 10200 | 1 | |
| 10400 | 1 | |
| 10500 | 4 | |
| 10700 | 1 | |
| 10800 | 2 | |
| 11000 | 16 | |
| 11500 | 1 | |
| 11900 | 1 | |
| 12000 | 24 | |
| 12500 | 43 | |
| 13000 | 15 | |
| 13550 | 1 | |
| 13800 | 1 | |
| 14000 | 9 | |
| 14500 | 2 | |
| 15000 | 24 | |
| 15200 | 1 | |
| 15950 | 1 | |
| 16000 | 3 | |
| 16500 | 1 | |
| 16504 | 1 | |
| 16900 | 1 | |
| 17000 | 12 | |
| 17500 | 32 | |
| 17600 | 1 | |
| 18000 | 5 | |
| 18200 | 1 | |
| 19000 | 1 | |
| 20000 | 12 | |
| 20500 | 1 | |
| 21000 | 2 | |
| 22000 | 9 | |
| 22500 | 14 | |
| 23000 | 1 | |
| 23800 | 1 | |
| 24000 | 1 | |
| 25000 | 6 | |
| 26000 | 1 | |
| 27000 | 2 | |
| 28000 | 1 | |
| 29000 | 1 | |
| 30000 | 13 | |
| 32500 | 18 | |
| 35000 | 2 | |
| 37000 | 1 | |
| 40000 | 4 | |
| 45000 | 2 | |
| 50000 | 10 | |
| 60000 | 1 | |
| 90000 | 3 | |
| 170000 | 1 | |
| 0 | No own income, not in paid work | 119 |
| 999990 | NAP, other countries | 35243 |
| 999997 | Refused | 72 |
| 999998 | DK | 0 |
| 999999 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1246 | 35434 |
Valid range from 150 to 170000
za_rinc R: Earnings: South Africa
| Value 137110 | Frequency | |
|---|---|---|
| 250 | R1 - R500 | 384 |
| 625 | R501 -R750 | 149 |
| 875 | R751 - R1 000 | 430 |
| 1250 | R1 001-R1 500 | 154 |
| 1750 | R1 501 - R2 000 | 140 |
| 2500 | R2 001 - R3 000 | 126 |
| 4000 | R3 001 - R5 000 | 121 |
| 6250 | R5 001 - R7 500 | 83 |
| 8750 | R7 501 - R10 000 | 56 |
| 12500 | R10 001 - R15 000 | 33 |
| 17500 | R15 001 - R20 000 | 22 |
| 25000 | R20 001 - R30 000 | 15 |
| 40000 | R30 001 - R50 000 | 3 |
| 60000 | R 50 001 and more | 6 |
| 0 | No own income, not in paid work | 785 |
| 999990 | NAP, other countries | 33773 |
| 999997 | Refuse to answer | 321 |
| 999998 | Uncertain or Don?t know | 71 |
| 999999 | NA | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1722 | 34958 |
Valid range from 250 to 60000
au_inc Family income: Australia
| Value 138109 | Frequency | |
|---|---|---|
| 5200 | $1 - $10,399 pa | 81 |
| 13000 | $10,400 - $15,599 pa | 154 |
| 18200 | $15,600 - $20,799 pa | 115 |
| 23400 | $20,800 - $25,999 pa | 127 |
| 28600 | $26,000 - $31,199 pa | 114 |
| 33800 | $31,200 - $36,399 pa | 102 |
| 39000 | $36,400 - $41,599 pa | 128 |
| 46800 | $41,600 - $51,999 pa | 188 |
| 65000 | $52,000 - $77,999 pa | 395 |
| 91000 | $78,000 - $103,999 pa | 352 |
| 104000 | $104,000 or more pa | 586 |
| 0 | No income | 33 |
| 999990 | NAP, other countries | 33911 |
| 999997 | Refused | 0 |
| 999998 | DK | 0 |
| 999999 | NA | 394 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2342 | 34338 |
Valid range from 5200 to 104000
ch_inc Family income: Switzerland
| Value 139108 | Frequency | |
|---|---|---|
| 12 | 1 | |
| 200 | 1 | |
| 600 | 2 | |
| 904 | 1 | |
| 1000 | 9 | |
| 1200 | 1 | |
| 1300 | 1 | |
| 1400 | 3 | |
| 1423 | 1 | |
| 1600 | 1 | |
| 1667 | 1 | |
| 1700 | 1 | |
| 1800 | 3 | |
| 1900 | 3 | |
| 2000 | 8 | |
| 2100 | 3 | |
| 2150 | 2 | |
| 2200 | 5 | |
| 2300 | 2 | |
| 2400 | 2 | |
| 2455 | 1 | |
| 2500 | 14 | |
| 2600 | 2 | |
| 2700 | 3 | |
| 2750 | 1 | |
| 2800 | 4 | |
| 2820 | 1 | |
| 2860 | 1 | |
| 2900 | 1 | |
| 3000 | 24 | |
| 3050 | 1 | |
| 3100 | 4 | |
| 3150 | 1 | |
| 3151 | 1 | |
| 3180 | 1 | |
| 3200 | 3 | |
| 3244 | 1 | |
| 3300 | 2 | |
| 3316 | 1 | |
| 3400 | 6 | |
| 3500 | 21 | |
| 3600 | 2 | |
| 3700 | 5 | |
| 3750 | 1 | |
| 3787 | 1 | |
| 3800 | 7 | |
| 3850 | 1 | |
| 3900 | 2 | |
| 3913 | 1 | |
| 4000 | 22 | |
| 4100 | 4 | |
| 4200 | 7 | |
| 4300 | 6 | |
| 4400 | 3 | |
| 4457 | 1 | |
| 4500 | 30 | |
| 4600 | 4 | |
| 4680 | 1 | |
| 4700 | 3 | |
| 4800 | 8 | |
| 4900 | 2 | |
| 5000 | 44 | |
| 5200 | 9 | |
| 5300 | 1 | |
| 5400 | 7 | |
| 5500 | 31 | |
| 5503 | 1 | |
| 5522 | 1 | |
| 5600 | 8 | |
| 5613 | 1 | |
| 5700 | 4 | |
| 5779 | 1 | |
| 5800 | 7 | |
| 5900 | 2 | |
| 5960 | 1 | |
| 6000 | 36 | |
| 6200 | 6 | |
| 6300 | 4 | |
| 6400 | 2 | |
| 6500 | 25 | |
| 6700 | 3 | |
| 6800 | 7 | |
| 6900 | 1 | |
| 7000 | 31 | |
| 7200 | 1 | |
| 7300 | 1 | |
| 7400 | 1 | |
| 7500 | 34 | |
| 7600 | 3 | |
| 7700 | 2 | |
| 7800 | 4 | |
| 8000 | 31 | |
| 8200 | 1 | |
| 8300 | 4 | |
| 8500 | 11 | |
| 8600 | 1 | |
| 8800 | 2 | |
| 8900 | 1 | |
| 9000 | 17 | |
| 9100 | 1 | |
| 9200 | 4 | |
| 9500 | 14 | |
| 9600 | 3 | |
| 9700 | 1 | |
| 9800 | 2 | |
| 10000 | 23 | |
| 10500 | 5 | |
| 10600 | 1 | |
| 10700 | 1 | |
| 10800 | 1 | |
| 11000 | 16 | |
| 11500 | 6 | |
| 11700 | 1 | |
| 11790 | 1 | |
| 12000 | 12 | |
| 12200 | 1 | |
| 12500 | 3 | |
| 13000 | 5 | |
| 13300 | 1 | |
| 13500 | 1 | |
| 13860 | 1 | |
| 14000 | 6 | |
| 14500 | 3 | |
| 15000 | 10 | |
| 15277 | 1 | |
| 15500 | 1 | |
| 16000 | 6 | |
| 17000 | 1 | |
| 18000 | 1 | |
| 19000 | 13 | |
| 20000 | 3 | |
| 21000 | 1 | |
| 25000 | 1 | |
| 30000 | 1 | |
| 0 | No income | 2 |
| 999990 | NAP, other countries | 35677 |
| 999997 | Refused | 185 |
| 999998 | DK | 61 |
| 999999 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 755 | 35925 |
Valid range from 12 to 30000
cl_inc Family income: Chile
| Value 140107 | Frequency | |
|---|---|---|
| 20000 | 20000 [CPL (Pesos)] | 17 |
| 45000 | 45000 [CPL (Pesos)] | 35 |
| 66000 | 66000 [CPL (Pesos)] | 44 |
| 90000 | 90000 [CPL (Pesos)] | 84 |
| 122000 | 122000 [CPL (Pesos)] | 135 |
| 155000 | 155000 [CPL (Pesos)] | 154 |
| 200000 | 200000 [CPL (Pesos)] | 155 |
| 250000 | 250000 [CPL (Pesos)] | 118 |
| 310000 | 310000 [CPL (Pesos)] | 129 |
| 400000 | 400000 [CPL (Pesos)] | 109 |
| 750000 | 750000 [CPL (Pesos)] | 135 |
| 1500000 | 1500000 [CPL (Pesos)] | 48 |
| 2500000 | 2500000 [CPL (Pesos)] | 8 |
| 3100000 | 3100000 [CPL (Pesos)] | 1 |
| 9999990 | NAP, other countries | 35175 |
| 9999997 | Refused | 0 |
| 9999998 | DK | 77 |
| 9999999 | NA | 256 |
| 0 | No own income, not in paid work | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36680 | 0 |
Valid range from 20000 to 9999999
cz_inc Family income: Czech Republic
| Value 141106 | Frequency | |
|---|---|---|
| 6000 | Up to 6999 CZK | 8 |
| 8500 | 7000-9999 CZK | 88 |
| 11000 | 10000-11999 CZK | 27 |
| 13000 | 12000-13999 CZK | 20 |
| 15000 | 14000-15999 CZK | 54 |
| 17000 | 16000-17999 CZK | 54 |
| 19000 | 18000-19999 CZK | 51 |
| 21000 | 20000-21999 CZK | 55 |
| 23000 | 22000-23999 CZK | 35 |
| 25000 | 24000-25999 CZK | 44 |
| 27000 | 26000-27999 CZK | 39 |
| 29000 | 28000-29999 CZK | 34 |
| 32500 | 30000-34999 CZK | 58 |
| 37500 | 35000-39999 CZK | 45 |
| 42500 | 40000-44999 CZK | 34 |
| 47500 | 45000-49999 CZK | 23 |
| 55000 | 50000-59999 CZK | 23 |
| 70000 | 60000-79999 CZK | 8 |
| 95000 | 80000 and more CZK | 1 |
| 0 | No own income, not in paid work | 0 |
| 999990 | NAP, other countries | 35458 |
| 999997 | Refused | 167 |
| 999998 | DK | 76 |
| 999999 | NA | 278 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 701 | 35979 |
Valid range from 6000 to 95000
do_inc Family income: Dominican Republic
| Value 142105 | Frequency | |
|---|---|---|
| 4000 | Less than RD$5.000 | 630 |
| 10500 | RD$5.000-$15.999 | 888 |
| 21500 | RD$16.000-$26.999 | 300 |
| 32500 | RD$27.000-$37.999 | 70 |
| 43500 | RD$38.000-$48.999 | 37 |
| 54500 | RD$49.000-$59.999 | 25 |
| 65000 | RD$60.000-$69.999 | 14 |
| 75000 | RD$70.000 -$79.999 | 13 |
| 85000 | RD$80,000 - $89.999 | 7 |
| 100000 | RD$90,000+ | 19 |
| 0 | No own income, not in paid work | 0 |
| 999990 | NAP, other countries | 34516 |
| 999997 | Refused | 0 |
| 999998 | DK | 0 |
| 999999 | NA | 161 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2003 | 34677 |
Valid range from 4000 to 100000
fi_inc Family income: Finland
| Value 143104 | Frequency | |
|---|---|---|
| 100 | 1 | |
| 142 | 1 | |
| 256 | 1 | |
| 265 | 1 | |
| 375 | 1 | |
| 380 | 2 | |
| 392 | 1 | |
| 400 | 4 | |
| 430 | 1 | |
| 434 | 1 | |
| 440 | 3 | |
| 450 | 1 | |
| 460 | 1 | |
| 500 | 4 | |
| 503 | 1 | |
| 550 | 3 | |
| 600 | 5 | |
| 650 | 1 | |
| 660 | 1 | |
| 680 | 1 | |
| 700 | 6 | |
| 750 | 4 | |
| 760 | 1 | |
| 768 | 1 | |
| 775 | 1 | |
| 800 | 9 | |
| 900 | 7 | |
| 960 | 1 | |
| 968 | 1 | |
| 980 | 1 | |
| 998 | 1 | |
| 1000 | 11 | |
| 1005 | 1 | |
| 1011 | 1 | |
| 1050 | 2 | |
| 1066 | 1 | |
| 1100 | 8 | |
| 1105 | 1 | |
| 1130 | 1 | |
| 1150 | 1 | |
| 1160 | 1 | |
| 1200 | 11 | |
| 1250 | 1 | |
| 1300 | 10 | |
| 1332 | 1 | |
| 1350 | 2 | |
| 1400 | 8 | |
| 1461 | 1 | |
| 1487 | 1 | |
| 1500 | 26 | |
| 1540 | 1 | |
| 1550 | 3 | |
| 1570 | 1 | |
| 1584 | 1 | |
| 1600 | 10 | |
| 1640 | 1 | |
| 1650 | 3 | |
| 1683 | 1 | |
| 1700 | 11 | |
| 1756 | 1 | |
| 1780 | 1 | |
| 1782 | 1 | |
| 1800 | 13 | |
| 1842 | 1 | |
| 1850 | 1 | |
| 1865 | 1 | |
| 1870 | 1 | |
| 1894 | 1 | |
| 1900 | 6 | |
| 1932 | 1 | |
| 1950 | 1 | |
| 1960 | 1 | |
| 1970 | 1 | |
| 1977 | 1 | |
| 1990 | 1 | |
| 2000 | 58 | |
| 2076 | 1 | |
| 2100 | 4 | |
| 2130 | 1 | |
| 2139 | 1 | |
| 2150 | 1 | |
| 2189 | 1 | |
| 2200 | 20 | |
| 2216 | 1 | |
| 2230 | 1 | |
| 2240 | 1 | |
| 2250 | 3 | |
| 2258 | 1 | |
| 2300 | 7 | |
| 2330 | 1 | |
| 2350 | 2 | |
| 2400 | 11 | |
| 2420 | 1 | |
| 2438 | 1 | |
| 2470 | 1 | |
| 2500 | 42 | |
| 2597 | 1 | |
| 2600 | 9 | |
| 2670 | 1 | |
| 2700 | 9 | |
| 2800 | 14 | |
| 2880 | 1 | |
| 2885 | 1 | |
| 2891 | 1 | |
| 2900 | 4 | |
| 3000 | 51 | |
| 3005 | 1 | |
| 3030 | 1 | |
| 3080 | 1 | |
| 3100 | 8 | |
| 3200 | 8 | |
| 3229 | 1 | |
| 3250 | 1 | |
| 3254 | 1 | |
| 3300 | 8 | |
| 3350 | 3 | |
| 3400 | 14 | |
| 3470 | 1 | |
| 3480 | 1 | |
| 3500 | 33 | |
| 3532 | 1 | |
| 3550 | 1 | |
| 3600 | 11 | |
| 3640 | 1 | |
| 3650 | 1 | |
| 3700 | 14 | |
| 3749 | 1 | |
| 3750 | 1 | |
| 3770 | 1 | |
| 3800 | 8 | |
| 3852 | 1 | |
| 3859 | 1 | |
| 3878 | 1 | |
| 3900 | 3 | |
| 4000 | 70 | |
| 4100 | 4 | |
| 4150 | 1 | |
| 4200 | 9 | |
| 4300 | 14 | |
| 4335 | 1 | |
| 4350 | 1 | |
| 4400 | 2 | |
| 4500 | 32 | |
| 4600 | 7 | |
| 4623 | 1 | |
| 4648 | 1 | |
| 4700 | 2 | |
| 4750 | 3 | |
| 4800 | 7 | |
| 4900 | 4 | |
| 5000 | 79 | |
| 5100 | 2 | |
| 5200 | 6 | |
| 5293 | 1 | |
| 5300 | 6 | |
| 5400 | 3 | |
| 5500 | 24 | |
| 5550 | 1 | |
| 5600 | 1 | |
| 5622 | 1 | |
| 5660 | 1 | |
| 5700 | 3 | |
| 5800 | 2 | |
| 5850 | 1 | |
| 6000 | 45 | |
| 6150 | 1 | |
| 6200 | 4 | |
| 6300 | 3 | |
| 6400 | 1 | |
| 6500 | 17 | |
| 6600 | 1 | |
| 6700 | 2 | |
| 6800 | 3 | |
| 7000 | 26 | |
| 7200 | 2 | |
| 7300 | 2 | |
| 7400 | 1 | |
| 7500 | 9 | |
| 7600 | 2 | |
| 7800 | 4 | |
| 8000 | 18 | |
| 8100 | 1 | |
| 8200 | 1 | |
| 8300 | 3 | |
| 8500 | 4 | |
| 8600 | 1 | |
| 8900 | 1 | |
| 9000 | 8 | |
| 9500 | 1 | |
| 9800 | 1 | |
| 9999 | 1 | |
| 10000 | 9 | |
| 11000 | 1 | |
| 12000 | 1 | |
| 13000 | 2 | |
| 14500 | 1 | |
| 15000 | 1 | |
| 16000 | 1 | |
| 19000 | 1 | |
| 20000 | 2 | |
| 21000 | 1 | |
| 23662 | 1 | |
| 27000 | 1 | |
| 28000 | 1 | |
| 29000 | 1 | |
| 30000 | 1 | |
| 31000 | 1 | |
| 34000 | 1 | |
| 35000 | 1 | |
| 39500 | 1 | |
| 42760 | 1 | |
| 50000 | 2 | |
| 55000 | 2 | |
| 58000 | 1 | |
| 70000 | 3 | |
| 85000 | 1 | |
| 100000 | 1 | |
| 0 | No income | 1 |
| 999990 | NAP, other countries | 35326 |
| 999997 | Refused | 0 |
| 999998 | DK | 0 |
| 999999 | NA | 258 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1095 | 35585 |
Valid range from 100 to 100000
fla_inc Family income: Flanders
| Value 144103 | Frequency | |
|---|---|---|
| 250 | 250 Euros | 3 |
| 550 | 3 | |
| 650 | 3 | |
| 750 | 16 | |
| 850 | 21 | |
| 950 | 22 | |
| 1050 | 45 | |
| 1150 | 33 | |
| 1250 | 41 | |
| 1350 | 28 | |
| 1450 | 29 | |
| 1550 | 35 | |
| 1650 | 31 | |
| 1750 | 27 | |
| 1850 | 20 | |
| 1950 | 31 | |
| 2050 | 57 | |
| 2150 | 35 | |
| 2250 | 40 | |
| 2350 | 33 | |
| 2450 | 27 | |
| 2550 | 40 | |
| 2750 | 35 | |
| 2780 | 25 | |
| 2850 | 27 | |
| 2950 | 24 | |
| 3050 | 40 | |
| 3150 | 19 | |
| 3250 | 27 | |
| 3350 | 26 | |
| 3450 | 22 | |
| 3550 | 17 | |
| 3780 | 18 | |
| 3825 | 29 | |
| 4075 | 37 | |
| 4325 | 36 | |
| 4575 | 19 | |
| 4825 | 13 | |
| 5075 | 10 | |
| 5325 | 8 | |
| 6700 | 27 | |
| 9200 | 3 | |
| 10450 | 10450 | 6 |
| 0 | No own income, not in paid work | 0 |
| 999990 | NAP, other countries | 35423 |
| 999997 | Refused | 46 |
| 999998 | DK | 123 |
| 999999 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1088 | 35592 |
Valid range from 250 to 10450
fr_inc Family income: France
| Value 145102 | Frequency | |
|---|---|---|
| 305 | 305 euros | 23 |
| 610 | 610 euros | 46 |
| 915 | 915 euros | 100 |
| 1296 | 1296 euros | 209 |
| 1906 | 1906 euros | 382 |
| 2668 | 2668 euros | 394 |
| 3430 | 3430 euros | 274 |
| 4192 | 4192 euros | 162 |
| 5335 | 5335 euros | 119 |
| 6860 | 6860 euros | 75 |
| 9909 | 9909 euros | 72 |
| 0 | No own income,not in paid work | 0 |
| 999990 | NAP, other countries | 34619 |
| 999997 | Refused | 0 |
| 999998 | DK | 0 |
| 999999 | NA | 205 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1856 | 34824 |
Valid range from 305 to 9909
hr_inc Family income: Croatia
| Value 146101 | Frequency | |
|---|---|---|
| 150 | 150 | 1 |
| 200 | 1 | |
| 270 | 1 | |
| 300 | 2 | |
| 340 | 1 | |
| 400 | 3 | |
| 494 | 1 | |
| 500 | 3 | |
| 600 | 3 | |
| 640 | 1 | |
| 641 | 1 | |
| 700 | 1 | |
| 746 | 1 | |
| 800 | 3 | |
| 900 | 5 | |
| 1000 | 10 | |
| 1100 | 5 | |
| 1140 | 1 | |
| 1150 | 1 | |
| 1156 | 1 | |
| 1200 | 8 | |
| 1240 | 1 | |
| 1260 | 1 | |
| 1300 | 6 | |
| 1350 | 2 | |
| 1400 | 5 | |
| 1450 | 1 | |
| 1490 | 1 | |
| 1500 | 22 | |
| 1550 | 2 | |
| 1600 | 9 | |
| 1650 | 3 | |
| 1700 | 5 | |
| 1800 | 7 | |
| 1900 | 4 | |
| 1950 | 1 | |
| 1980 | 1 | |
| 2000 | 24 | |
| 2025 | 1 | |
| 2030 | 1 | |
| 2100 | 3 | |
| 2166 | 1 | |
| 2195 | 1 | |
| 2200 | 8 | |
| 2300 | 5 | |
| 2400 | 8 | |
| 2450 | 1 | |
| 2460 | 1 | |
| 2500 | 22 | |
| 2600 | 3 | |
| 2700 | 4 | |
| 2750 | 1 | |
| 2800 | 5 | |
| 2930 | 1 | |
| 3000 | 30 | |
| 3030 | 1 | |
| 3100 | 3 | |
| 3200 | 6 | |
| 3300 | 6 | |
| 3400 | 4 | |
| 3500 | 18 | |
| 3600 | 8 | |
| 3700 | 3 | |
| 3800 | 7 | |
| 3850 | 1 | |
| 3900 | 3 | |
| 4000 | 42 | |
| 4100 | 2 | |
| 4200 | 4 | |
| 4300 | 4 | |
| 4400 | 2 | |
| 4470 | 1 | |
| 4500 | 16 | |
| 4600 | 2 | |
| 4700 | 2 | |
| 4800 | 7 | |
| 5000 | 53 | |
| 5040 | 1 | |
| 5100 | 1 | |
| 5200 | 3 | |
| 5500 | 9 | |
| 5600 | 4 | |
| 5700 | 2 | |
| 5800 | 4 | |
| 5809 | 1 | |
| 5900 | 2 | |
| 6000 | 41 | |
| 6100 | 1 | |
| 6200 | 1 | |
| 6300 | 3 | |
| 6400 | 1 | |
| 6500 | 13 | |
| 6600 | 2 | |
| 6700 | 1 | |
| 6800 | 4 | |
| 7000 | 26 | |
| 7200 | 3 | |
| 7500 | 9 | |
| 7600 | 1 | |
| 7700 | 2 | |
| 7800 | 2 | |
| 8000 | 49 | |
| 8300 | 1 | |
| 8400 | 1 | |
| 8500 | 5 | |
| 8800 | 1 | |
| 9000 | 25 | |
| 9300 | 1 | |
| 9500 | 5 | |
| 9800 | 1 | |
| 10000 | 51 | |
| 10500 | 2 | |
| 11000 | 11 | |
| 11200 | 2 | |
| 11500 | 1 | |
| 12000 | 13 | |
| 12500 | 2 | |
| 13000 | 9 | |
| 13500 | 1 | |
| 14000 | 2 | |
| 14200 | 1 | |
| 14500 | 1 | |
| 15000 | 9 | |
| 15500 | 1 | |
| 16000 | 3 | |
| 17000 | 4 | |
| 17300 | 1 | |
| 17500 | 1 | |
| 18000 | 2 | |
| 20000 | 4 | |
| 23000 | 1 | |
| 30000 | 1 | |
| 34000 | 1 | |
| 37000 | 1 | |
| 40000 | 2 | |
| 60000 | 1 | |
| 75000 | 75000 | 1 |
| 0 | No own income, not in paid work | 0 |
| 999990 | NAP, other countries | 35480 |
| 999997 | Refused | 128 |
| 999998 | DK | 146 |
| 999999 | NA | 131 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 795 | 35885 |
Valid range from 150 to 75000
il_inc Family income: Israel
| Value 147100 | Frequency | |
|---|---|---|
| 2250 | 4500 nis and under neto | 247 |
| 5000 | 4500-5500 nis | 110 |
| 6000 | 5500-6500 nis | 93 |
| 7000 | 6500-7500 nis | 114 |
| 8000 | 7500-8500 nis | 70 |
| 9500 | 8500-10500 nis | 133 |
| 12000 | 10500-13500 nis | 96 |
| 14500 | 13500-15500 nis | 47 |
| 17750 | 15500-20000 nis | 53 |
| 22000 | more than 20000 nis | 42 |
| 0 | No income | 0 |
| 999990 | NAP, other countries | 35375 |
| 999997 | Refused | 123 |
| 999998 | DK | 73 |
| 999999 | NA | 104 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1005 | 35675 |
Valid range from 2250 to 22000
jp_inc Family income: Japan
| Value 14899 | Frequency | |
|---|---|---|
| 1000 | 1.000.000 yen | 130 |
| 2500 | 2.500.000 yen | 142 |
| 3500 | 3.500.000 yen | 148 |
| 4500 | 4.500.000 yen | 149 |
| 5500 | 5.500.000 yen | 83 |
| 6500 | 6.500.000 yen | 99 |
| 7500 | 7.500.000 yen | 83 |
| 8500 | 8.500.000 yen | 55 |
| 9500 | 9.500.000 yen | 63 |
| 11000 | 11.000.000 yen | 63 |
| 13500 | 13.500.000 yen | 40 |
| 20000 | 20.000.000 yen | 48 |
| 0 | No own income, not in paid work | 0 |
| 999990 | NAP, other countries | 35427 |
| 999997 | Refused | 0 |
| 999998 | DK | 0 |
| 999999 | NA | 150 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1103 | 35577 |
Valid range from 1000 to 20000
kr_inc Family income: South Korea
| Value 14998 | Frequency | |
|---|---|---|
| 5 | 50.000 won | 1 |
| 6 | 1 | |
| 7 | 1 | |
| 10 | 11 | |
| 12 | 2 | |
| 15 | 2 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 17 | |
| 23 | 1 | |
| 25 | 10 | |
| 26 | 1 | |
| 30 | 35 | |
| 32 | 1 | |
| 33 | 2 | |
| 35 | 3 | |
| 40 | 17 | |
| 41 | 1 | |
| 45 | 4 | |
| 50 | 29 | |
| 55 | 1 | |
| 58 | 1 | |
| 60 | 10 | |
| 64 | 1 | |
| 65 | 2 | |
| 70 | 17 | |
| 75 | 8 | |
| 80 | 12 | |
| 82 | 1 | |
| 90 | 3 | |
| 93 | 1 | |
| 95 | 1 | |
| 100 | 66 | |
| 101 | 1 | |
| 110 | 1 | |
| 120 | 14 | |
| 125 | 7 | |
| 130 | 11 | |
| 135 | 1 | |
| 140 | 9 | |
| 150 | 50 | |
| 155 | 2 | |
| 160 | 13 | |
| 165 | 1 | |
| 170 | 8 | |
| 175 | 4 | |
| 180 | 16 | |
| 185 | 2 | |
| 190 | 4 | |
| 200 | 123 | |
| 202 | 1 | |
| 210 | 4 | |
| 220 | 12 | |
| 225 | 6 | |
| 230 | 10 | |
| 240 | 6 | |
| 245 | 2 | |
| 250 | 67 | |
| 255 | 1 | |
| 260 | 7 | |
| 270 | 7 | |
| 275 | 4 | |
| 280 | 7 | |
| 285 | 1 | |
| 290 | 3 | |
| 298 | 1 | |
| 300 | 141 | |
| 305 | 1 | |
| 308 | 1 | |
| 310 | 3 | |
| 315 | 2 | |
| 320 | 4 | |
| 325 | 2 | |
| 330 | 3 | |
| 333 | 1 | |
| 340 | 5 | |
| 350 | 62 | |
| 360 | 2 | |
| 370 | 4 | |
| 375 | 4 | |
| 380 | 12 | |
| 395 | 1 | |
| 400 | 91 | |
| 420 | 2 | |
| 425 | 2 | |
| 430 | 4 | |
| 440 | 3 | |
| 450 | 36 | |
| 460 | 2 | |
| 475 | 3 | |
| 480 | 1 | |
| 490 | 2 | |
| 500 | 88 | |
| 520 | 5 | |
| 525 | 2 | |
| 530 | 2 | |
| 540 | 3 | |
| 550 | 13 | |
| 555 | 1 | |
| 560 | 1 | |
| 575 | 1 | |
| 580 | 4 | |
| 600 | 42 | |
| 620 | 1 | |
| 625 | 2 | |
| 630 | 3 | |
| 640 | 1 | |
| 650 | 9 | |
| 660 | 1 | |
| 670 | 2 | |
| 675 | 2 | |
| 690 | 1 | |
| 700 | 30 | |
| 720 | 1 | |
| 750 | 6 | |
| 760 | 1 | |
| 800 | 20 | |
| 825 | 2 | |
| 850 | 2 | |
| 870 | 1 | |
| 900 | 4 | |
| 930 | 1 | |
| 950 | 1 | |
| 1000 | 23 | |
| 1100 | 5 | |
| 1150 | 1 | |
| 1200 | 3 | |
| 1350 | 1 | |
| 1500 | 3 | |
| 1600 | 1 | |
| 1700 | 1 | |
| 1750 | 1 | |
| 2000 | 2 | |
| 2500 | 1 | |
| 3120 | 1 | |
| 5160 | 51.600.000 won | 1 |
| 0 | No income | 14 |
| 999990 | NAP. other countries | 35249 |
| 999998 | DK | 0 |
| 999999 | NA | 51 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1366 | 35314 |
Valid range from 5 to 5160
lv_inc Family income: Latvia
| Value 15097 | Frequency | |
|---|---|---|
| 10 | 1 | |
| 35 | 1 | |
| 39 | 1 | |
| 40 | 2 | |
| 42 | 1 | |
| 45 | 1 | |
| 50 | 3 | |
| 60 | 1 | |
| 70 | 4 | |
| 72 | 1 | |
| 73 | 1 | |
| 74 | 1 | |
| 75 | 2 | |
| 80 | 7 | |
| 84 | 4 | |
| 85 | 4 | |
| 86 | 1 | |
| 87 | 2 | |
| 88 | 1 | |
| 89 | 1 | |
| 90 | 5 | |
| 92 | 3 | |
| 93 | 1 | |
| 94 | 6 | |
| 95 | 1 | |
| 96 | 5 | |
| 97 | 1 | |
| 98 | 6 | |
| 100 | 18 | |
| 101 | 1 | |
| 102 | 4 | |
| 104 | 2 | |
| 105 | 4 | |
| 106 | 3 | |
| 109 | 1 | |
| 110 | 3 | |
| 111 | 1 | |
| 113 | 2 | |
| 115 | 3 | |
| 116 | 2 | |
| 117 | 1 | |
| 118 | 1 | |
| 119 | 1 | |
| 120 | 8 | |
| 122 | 1 | |
| 125 | 1 | |
| 126 | 1 | |
| 128 | 1 | |
| 130 | 4 | |
| 132 | 1 | |
| 140 | 4 | |
| 144 | 1 | |
| 145 | 1 | |
| 146 | 1 | |
| 147 | 1 | |
| 148 | 1 | |
| 150 | 13 | |
| 153 | 1 | |
| 156 | 1 | |
| 157 | 1 | |
| 160 | 11 | |
| 164 | 2 | |
| 166 | 1 | |
| 168 | 1 | |
| 170 | 9 | |
| 173 | 1 | |
| 177 | 1 | |
| 180 | 8 | |
| 183 | 1 | |
| 184 | 1 | |
| 185 | 1 | |
| 186 | 1 | |
| 187 | 1 | |
| 190 | 6 | |
| 192 | 1 | |
| 193 | 1 | |
| 195 | 2 | |
| 196 | 2 | |
| 197 | 3 | |
| 198 | 4 | |
| 200 | 30 | |
| 202 | 1 | |
| 205 | 3 | |
| 207 | 1 | |
| 210 | 9 | |
| 211 | 1 | |
| 213 | 1 | |
| 215 | 2 | |
| 220 | 5 | |
| 225 | 1 | |
| 230 | 6 | |
| 234 | 1 | |
| 238 | 1 | |
| 240 | 2 | |
| 242 | 1 | |
| 248 | 1 | |
| 250 | 18 | |
| 253 | 1 | |
| 255 | 1 | |
| 256 | 2 | |
| 260 | 4 | |
| 270 | 5 | |
| 280 | 11 | |
| 283 | 1 | |
| 290 | 5 | |
| 300 | 45 | |
| 310 | 1 | |
| 320 | 2 | |
| 330 | 2 | |
| 340 | 2 | |
| 342 | 1 | |
| 350 | 16 | |
| 355 | 1 | |
| 360 | 2 | |
| 368 | 1 | |
| 370 | 4 | |
| 380 | 7 | |
| 400 | 50 | |
| 402 | 1 | |
| 410 | 1 | |
| 415 | 1 | |
| 420 | 5 | |
| 430 | 1 | |
| 450 | 14 | |
| 460 | 2 | |
| 470 | 2 | |
| 480 | 3 | |
| 490 | 2 | |
| 500 | 49 | |
| 520 | 2 | |
| 540 | 1 | |
| 550 | 6 | |
| 560 | 3 | |
| 586 | 1 | |
| 600 | 30 | |
| 620 | 1 | |
| 630 | 2 | |
| 648 | 1 | |
| 650 | 6 | |
| 665 | 1 | |
| 680 | 1 | |
| 700 | 21 | |
| 717 | 1 | |
| 736 | 1 | |
| 750 | 1 | |
| 800 | 31 | |
| 850 | 1 | |
| 860 | 1 | |
| 880 | 1 | |
| 890 | 1 | |
| 900 | 4 | |
| 950 | 1 | |
| 980 | 1 | |
| 1000 | 17 | |
| 1050 | 1 | |
| 1100 | 2 | |
| 1200 | 3 | |
| 1322 | 1 | |
| 1400 | 1 | |
| 1500 | 2 | |
| 1550 | 1 | |
| 1600 | 1 | |
| 1700 | 1 | |
| 1800 | 2 | |
| 2000 | 2 | |
| 2400 | 1 | |
| 3000 | 1 | |
| 21000 | 1 | |
| 0 | No income | 2 |
| 999990 | NAP, other countries | 35611 |
| 999997 | Refused | 240 |
| 999998 | Dont know | 126 |
| 999999 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 701 | 35979 |
Valid range from 10 to 21000
mx_inc Family income: Mexico
| Value 15196 | Frequency | |
|---|---|---|
| 700 | 2 | |
| 1000 | 12 | |
| 1200 | 8 | |
| 1300 | 1 | |
| 1400 | 2 | |
| 1500 | 14 | |
| 1600 | 2 | |
| 1700 | 1 | |
| 1800 | 8 | |
| 1900 | 2 | |
| 2000 | 43 | |
| 2100 | 1 | |
| 2200 | 4 | |
| 2300 | 1 | |
| 2400 | 10 | |
| 2500 | 14 | |
| 2600 | 2 | |
| 2800 | 6 | |
| 2930 | 1 | |
| 3000 | 63 | |
| 3100 | 3 | |
| 3200 | 20 | |
| 3300 | 1 | |
| 3400 | 1 | |
| 3500 | 23 | |
| 3600 | 7 | |
| 3700 | 1 | |
| 3800 | 2 | |
| 3900 | 1 | |
| 4000 | 67 | |
| 4200 | 4 | |
| 4300 | 1 | |
| 4400 | 2 | |
| 4500 | 18 | |
| 4600 | 3 | |
| 4800 | 6 | |
| 4900 | 1 | |
| 5000 | 78 | |
| 5200 | 6 | |
| 5500 | 3 | |
| 5600 | 3 | |
| 5800 | 1 | |
| 6000 | 79 | |
| 6200 | 2 | |
| 6300 | 1 | |
| 6400 | 3 | |
| 6500 | 4 | |
| 6600 | 1 | |
| 6700 | 3 | |
| 6800 | 1 | |
| 7000 | 42 | |
| 7500 | 5 | |
| 7800 | 4 | |
| 8000 | 38 | |
| 8220 | 1 | |
| 8300 | 1 | |
| 8600 | 1 | |
| 8800 | 1 | |
| 8900 | 3 | |
| 9000 | 17 | |
| 9500 | 3 | |
| 9600 | 1 | |
| 10000 | 65 | |
| 10500 | 5 | |
| 11000 | 6 | |
| 12000 | 26 | |
| 12060 | 1 | |
| 12400 | 1 | |
| 12600 | 1 | |
| 12800 | 1 | |
| 13000 | 8 | |
| 14000 | 5 | |
| 14250 | 1 | |
| 14500 | 1 | |
| 14800 | 1 | |
| 15000 | 16 | |
| 16000 | 14 | |
| 17000 | 2 | |
| 18000 | 7 | |
| 19000 | 1 | |
| 20000 | 21 | |
| 23000 | 2 | |
| 24000 | 1 | |
| 25000 | 4 | |
| 26000 | 1 | |
| 27000 | 1 | |
| 28000 | 1 | |
| 30000 | 4 | |
| 32000 | 1 | |
| 35000 | 2 | |
| 40000 | 4 | |
| 50000 | 2 | |
| 55000 | 1 | |
| 60000 | 1 | |
| 120000 | 1 | |
| 0 | No income | 0 |
| 999990 | NAP, other countries | 35073 |
| 999997 | Refused | 53 |
| 999998 | DK | 260 |
| 999999 | NA | 425 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 869 | 35811 |
Valid range from 700 to 120000
no_inc Family income: Norway
| Value 15295 | Frequency | |
|---|---|---|
| 5 | 5.000 Norwegian Kroner | 2 |
| 10 | 1 | |
| 12 | 2 | |
| 20 | 4 | |
| 27 | 1 | |
| 30 | 2 | |
| 31 | 1 | |
| 36 | 1 | |
| 40 | 5 | |
| 50 | 6 | |
| 60 | 5 | |
| 65 | 1 | |
| 70 | 3 | |
| 80 | 3 | |
| 95 | 1 | |
| 100 | 12 | |
| 110 | 2 | |
| 115 | 1 | |
| 120 | 7 | |
| 121 | 1 | |
| 125 | 1 | |
| 130 | 4 | |
| 132 | 1 | |
| 134 | 1 | |
| 138 | 1 | |
| 145 | 1 | |
| 146 | 1 | |
| 150 | 8 | |
| 156 | 1 | |
| 158 | 1 | |
| 160 | 4 | |
| 163 | 1 | |
| 169 | 1 | |
| 170 | 1 | |
| 172 | 1 | |
| 175 | 1 | |
| 176 | 1 | |
| 180 | 3 | |
| 187 | 1 | |
| 190 | 4 | |
| 192 | 1 | |
| 200 | 20 | |
| 208 | 1 | |
| 209 | 1 | |
| 210 | 6 | |
| 211 | 1 | |
| 220 | 3 | |
| 230 | 3 | |
| 236 | 1 | |
| 240 | 6 | |
| 247 | 1 | |
| 250 | 20 | |
| 257 | 1 | |
| 260 | 8 | |
| 266 | 1 | |
| 270 | 4 | |
| 271 | 1 | |
| 280 | 15 | |
| 283 | 1 | |
| 285 | 1 | |
| 287 | 1 | |
| 290 | 4 | |
| 292 | 1 | |
| 297 | 1 | |
| 300 | 33 | |
| 305 | 1 | |
| 309 | 1 | |
| 310 | 4 | |
| 313 | 1 | |
| 315 | 1 | |
| 318 | 1 | |
| 320 | 7 | |
| 325 | 1 | |
| 330 | 4 | |
| 335 | 1 | |
| 340 | 8 | |
| 344 | 1 | |
| 345 | 1 | |
| 348 | 2 | |
| 350 | 24 | |
| 354 | 1 | |
| 355 | 1 | |
| 360 | 6 | |
| 369 | 1 | |
| 370 | 5 | |
| 380 | 10 | |
| 385 | 1 | |
| 390 | 2 | |
| 391 | 1 | |
| 398 | 1 | |
| 400 | 46 | |
| 404 | 1 | |
| 410 | 4 | |
| 418 | 1 | |
| 420 | 12 | |
| 422 | 1 | |
| 425 | 1 | |
| 430 | 4 | |
| 435 | 1 | |
| 440 | 4 | |
| 444 | 1 | |
| 450 | 23 | |
| 460 | 4 | |
| 465 | 1 | |
| 468 | 1 | |
| 470 | 3 | |
| 474 | 1 | |
| 475 | 2 | |
| 480 | 12 | |
| 485 | 1 | |
| 490 | 3 | |
| 500 | 62 | |
| 510 | 1 | |
| 511 | 1 | |
| 520 | 4 | |
| 525 | 3 | |
| 530 | 2 | |
| 535 | 1 | |
| 540 | 4 | |
| 550 | 25 | |
| 558 | 1 | |
| 560 | 2 | |
| 570 | 8 | |
| 575 | 1 | |
| 580 | 4 | |
| 582 | 1 | |
| 585 | 1 | |
| 590 | 1 | |
| 595 | 1 | |
| 600 | 54 | |
| 615 | 1 | |
| 620 | 5 | |
| 625 | 1 | |
| 630 | 6 | |
| 640 | 5 | |
| 645 | 2 | |
| 650 | 30 | |
| 660 | 4 | |
| 670 | 8 | |
| 675 | 1 | |
| 680 | 3 | |
| 690 | 1 | |
| 700 | 52 | |
| 720 | 1 | |
| 722 | 2 | |
| 730 | 4 | |
| 750 | 23 | |
| 760 | 1 | |
| 763 | 1 | |
| 770 | 1 | |
| 775 | 1 | |
| 780 | 2 | |
| 790 | 1 | |
| 800 | 47 | |
| 804 | 1 | |
| 810 | 1 | |
| 820 | 2 | |
| 830 | 5 | |
| 840 | 2 | |
| 850 | 20 | |
| 870 | 1 | |
| 900 | 29 | |
| 910 | 1 | |
| 920 | 1 | |
| 930 | 1 | |
| 950 | 7 | |
| 954 | 1 | |
| 990 | 2 | |
| 1000 | 30 | |
| 1050 | 3 | |
| 1085 | 1 | |
| 1100 | 10 | |
| 1150 | 1 | |
| 1170 | 2 | |
| 1200 | 10 | |
| 1250 | 1 | |
| 1256 | 1 | |
| 1260 | 1 | |
| 1300 | 15 | |
| 1335 | 1 | |
| 1350 | 2 | |
| 1400 | 2 | |
| 1500 | 9 | |
| 1540 | 1 | |
| 1600 | 2 | |
| 1700 | 1 | |
| 1710 | 1 | |
| 1800 | 1 | |
| 1900 | 1 | |
| 2000 | 6 | |
| 2200 | 1 | |
| 2400 | 1 | |
| 2500 | 3 | |
| 5000 | 2 | |
| 11000 | 1 | |
| 30000 | 30.000.000 | 1 |
| 0 | No income | 0 |
| 999990 | NAP, other countries | 35537 |
| 999997 | Refused | 0 |
| 999998 | DK | 0 |
| 999999 | NA | 129 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1014 | 35666 |
Valid range from 5 to 30000
nz_inc Family income: New Zealand
| Value 15394 | Frequency | |
|---|---|---|
| 7500 | $5 000 - $15 000 | 48 |
| 17500 | $15 000 - $20 000 | 56 |
| 25000 | $20 000 - $30 000 | 90 |
| 35000 | $30 000 - $40 000 | 83 |
| 45000 | $40 000 - $50 000 | 74 |
| 55000 | $50 000 - $60 000 | 61 |
| 65000 | $60 000 - $70 000 | 103 |
| 75000 | $70 000 - $80 000 | 61 |
| 90000 | $80 000 - $100 000 | 116 |
| 120000 | > $100 000 | 207 |
| 0 | No income | 0 |
| 999990 | NAP, other countries | 35684 |
| 999997 | Refused | 0 |
| 999998 | DK | 0 |
| 999999 | NA | 97 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 899 | 35781 |
Valid range from 7500 to 120000
ph_inc Family income: Philippines
| Value 15493 | Frequency | |
|---|---|---|
| 200 | 200 Philippine Pesos | 2 |
| 500 | 8 | |
| 600 | 4 | |
| 800 | 2 | |
| 1000 | 36 | |
| 1200 | 5 | |
| 1400 | 2 | |
| 1500 | 17 | |
| 1600 | 3 | |
| 1666 | 1 | |
| 1700 | 1 | |
| 1800 | 1 | |
| 1900 | 1 | |
| 2000 | 57 | |
| 2100 | 1 | |
| 2150 | 1 | |
| 2200 | 1 | |
| 2300 | 1 | |
| 2400 | 3 | |
| 2500 | 18 | |
| 2600 | 1 | |
| 2700 | 2 | |
| 2800 | 4 | |
| 3000 | 92 | |
| 3200 | 1 | |
| 3400 | 1 | |
| 3420 | 1 | |
| 3500 | 11 | |
| 3600 | 2 | |
| 3700 | 1 | |
| 3900 | 2 | |
| 4000 | 55 | |
| 4200 | 2 | |
| 4300 | 1 | |
| 4400 | 2 | |
| 4500 | 12 | |
| 4600 | 1 | |
| 4700 | 2 | |
| 4800 | 4 | |
| 5000 | 101 | |
| 5100 | 1 | |
| 5200 | 1 | |
| 5400 | 4 | |
| 5500 | 3 | |
| 5760 | 1 | |
| 5800 | 2 | |
| 5980 | 1 | |
| 6000 | 86 | |
| 6320 | 1 | |
| 6400 | 1 | |
| 6500 | 8 | |
| 6800 | 1 | |
| 6900 | 1 | |
| 7000 | 37 | |
| 7200 | 3 | |
| 7400 | 1 | |
| 7500 | 9 | |
| 7800 | 1 | |
| 8000 | 49 | |
| 8400 | 1 | |
| 8800 | 1 | |
| 9000 | 36 | |
| 9300 | 3 | |
| 9400 | 1 | |
| 9500 | 1 | |
| 9800 | 2 | |
| 9900 | 1 | |
| 9983 | 1 | |
| 10000 | 107 | |
| 10500 | 4 | |
| 10860 | 1 | |
| 11000 | 15 | |
| 11400 | 1 | |
| 11600 | 1 | |
| 12000 | 30 | |
| 12400 | 1 | |
| 12500 | 3 | |
| 12600 | 1 | |
| 13000 | 9 | |
| 13400 | 1 | |
| 13700 | 1 | |
| 13800 | 1 | |
| 13935 | 1 | |
| 14000 | 12 | |
| 14360 | 1 | |
| 14500 | 1 | |
| 14800 | 1 | |
| 15000 | 58 | |
| 15700 | 1 | |
| 16000 | 21 | |
| 17000 | 10 | |
| 18000 | 8 | |
| 19000 | 2 | |
| 20000 | 32 | |
| 20500 | 1 | |
| 21000 | 5 | |
| 22000 | 4 | |
| 23000 | 3 | |
| 24000 | 2 | |
| 25000 | 13 | |
| 27000 | 1 | |
| 28000 | 1 | |
| 30000 | 17 | |
| 35000 | 5 | |
| 36000 | 1 | |
| 40000 | 2 | |
| 45000 | 1 | |
| 50000 | 6 | |
| 57000 | 1 | |
| 60000 | 3 | |
| 70009 | 1 | |
| 81565 | 1 | |
| 84000 | 1 | |
| 90000 | 1 | |
| 100000 | 100000 | 1 |
| 0 | No income | 14 |
| 999990 | NAP, other countries | 35480 |
| 999997 | Refused | 0 |
| 999998 | DK | 33 |
| 999999 | NA | 37 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1116 | 35564 |
Valid range from 200 to 100000
pl_inc Family income: Poland
| Value 15592 | Frequency | |
|---|---|---|
| 150 | 150 PL zloty | 1 |
| 160 | 2 | |
| 200 | 4 | |
| 260 | 1 | |
| 300 | 5 | |
| 350 | 1 | |
| 400 | 1 | |
| 415 | 1 | |
| 430 | 1 | |
| 444 | 2 | |
| 450 | 1 | |
| 480 | 1 | |
| 495 | 1 | |
| 500 | 7 | |
| 520 | 3 | |
| 522 | 1 | |
| 525 | 2 | |
| 526 | 2 | |
| 540 | 2 | |
| 550 | 2 | |
| 559 | 1 | |
| 560 | 1 | |
| 569 | 1 | |
| 580 | 2 | |
| 590 | 1 | |
| 600 | 7 | |
| 630 | 1 | |
| 650 | 3 | |
| 670 | 5 | |
| 680 | 1 | |
| 688 | 1 | |
| 693 | 1 | |
| 700 | 14 | |
| 710 | 1 | |
| 715 | 1 | |
| 720 | 3 | |
| 730 | 3 | |
| 735 | 1 | |
| 740 | 3 | |
| 750 | 3 | |
| 760 | 1 | |
| 780 | 1 | |
| 794 | 1 | |
| 800 | 8 | |
| 816 | 1 | |
| 820 | 1 | |
| 826 | 1 | |
| 830 | 1 | |
| 840 | 1 | |
| 850 | 2 | |
| 860 | 2 | |
| 865 | 1 | |
| 880 | 1 | |
| 890 | 2 | |
| 900 | 10 | |
| 901 | 1 | |
| 903 | 1 | |
| 920 | 2 | |
| 940 | 1 | |
| 950 | 2 | |
| 966 | 1 | |
| 984 | 1 | |
| 997 | 1 | |
| 1000 | 37 | |
| 1010 | 1 | |
| 1023 | 1 | |
| 1040 | 1 | |
| 1050 | 4 | |
| 1068 | 1 | |
| 1080 | 1 | |
| 1090 | 1 | |
| 1100 | 18 | |
| 1110 | 1 | |
| 1140 | 2 | |
| 1155 | 1 | |
| 1170 | 1 | |
| 1187 | 1 | |
| 1200 | 37 | |
| 1222 | 1 | |
| 1231 | 1 | |
| 1238 | 1 | |
| 1240 | 1 | |
| 1250 | 3 | |
| 1260 | 2 | |
| 1270 | 1 | |
| 1300 | 21 | |
| 1320 | 3 | |
| 1330 | 1 | |
| 1335 | 1 | |
| 1340 | 2 | |
| 1350 | 4 | |
| 1370 | 2 | |
| 1384 | 1 | |
| 1385 | 1 | |
| 1390 | 1 | |
| 1400 | 19 | |
| 1409 | 1 | |
| 1410 | 1 | |
| 1440 | 1 | |
| 1450 | 1 | |
| 1470 | 1 | |
| 1500 | 45 | |
| 1510 | 1 | |
| 1520 | 1 | |
| 1528 | 1 | |
| 1530 | 1 | |
| 1540 | 1 | |
| 1542 | 1 | |
| 1545 | 1 | |
| 1596 | 1 | |
| 1600 | 20 | |
| 1640 | 1 | |
| 1645 | 1 | |
| 1650 | 6 | |
| 1655 | 1 | |
| 1670 | 1 | |
| 1700 | 25 | |
| 1726 | 1 | |
| 1730 | 1 | |
| 1734 | 1 | |
| 1750 | 2 | |
| 1760 | 2 | |
| 1780 | 1 | |
| 1790 | 1 | |
| 1800 | 34 | |
| 1819 | 1 | |
| 1822 | 1 | |
| 1830 | 2 | |
| 1845 | 1 | |
| 1850 | 1 | |
| 1880 | 1 | |
| 1890 | 1 | |
| 1900 | 5 | |
| 1920 | 2 | |
| 1950 | 2 | |
| 1960 | 1 | |
| 1970 | 1 | |
| 2000 | 104 | |
| 2052 | 1 | |
| 2070 | 1 | |
| 2080 | 1 | |
| 2090 | 1 | |
| 2100 | 10 | |
| 2130 | 1 | |
| 2150 | 1 | |
| 2160 | 1 | |
| 2200 | 24 | |
| 2300 | 16 | |
| 2316 | 1 | |
| 2358 | 1 | |
| 2400 | 12 | |
| 2418 | 1 | |
| 2440 | 1 | |
| 2450 | 1 | |
| 2500 | 65 | |
| 2520 | 1 | |
| 2532 | 1 | |
| 2544 | 1 | |
| 2600 | 9 | |
| 2620 | 1 | |
| 2673 | 1 | |
| 2700 | 15 | |
| 2730 | 1 | |
| 2800 | 15 | |
| 2850 | 1 | |
| 2854 | 1 | |
| 2870 | 1 | |
| 2900 | 8 | |
| 3000 | 92 | |
| 3080 | 1 | |
| 3100 | 3 | |
| 3200 | 11 | |
| 3300 | 4 | |
| 3370 | 1 | |
| 3400 | 4 | |
| 3450 | 1 | |
| 3470 | 1 | |
| 3500 | 39 | |
| 3600 | 6 | |
| 3630 | 1 | |
| 3650 | 1 | |
| 3700 | 4 | |
| 3800 | 6 | |
| 3820 | 1 | |
| 3900 | 1 | |
| 4000 | 50 | |
| 4300 | 4 | |
| 4400 | 1 | |
| 4500 | 17 | |
| 4600 | 2 | |
| 4700 | 5 | |
| 4800 | 1 | |
| 4900 | 1 | |
| 5000 | 38 | |
| 5170 | 1 | |
| 5200 | 3 | |
| 5300 | 1 | |
| 5500 | 7 | |
| 5700 | 1 | |
| 6000 | 19 | |
| 6500 | 3 | |
| 7000 | 13 | |
| 7500 | 2 | |
| 8000 | 9 | |
| 8500 | 1 | |
| 9000 | 6 | |
| 10000 | 5 | |
| 10500 | 1 | |
| 13500 | 1 | |
| 15000 | 2 | |
| 16400 | 1 | |
| 20000 | 20 000 PL zloty | 2 |
| 0 | No income | 0 |
| 999990 | NAP, other countries | 35387 |
| 999998 | DK | 57 |
| 999999 | NA/refused | 75 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1161 | 35519 |
Valid range from 150 to 20000
ru_inc Family income: Russia
| Value 15691 | Frequency | |
|---|---|---|
| 1000 | 1000 Roubles | 1 |
| 1300 | 1 | |
| 1400 | 3 | |
| 1500 | 2 | |
| 1600 | 2 | |
| 1700 | 1 | |
| 1760 | 1 | |
| 1800 | 3 | |
| 1853 | 1 | |
| 1900 | 1 | |
| 2000 | 14 | |
| 2050 | 1 | |
| 2100 | 1 | |
| 2200 | 8 | |
| 2230 | 1 | |
| 2260 | 1 | |
| 2300 | 4 | |
| 2400 | 1 | |
| 2444 | 1 | |
| 2500 | 17 | |
| 2540 | 1 | |
| 2600 | 4 | |
| 2648 | 1 | |
| 2670 | 1 | |
| 2700 | 2 | |
| 2780 | 1 | |
| 2800 | 11 | |
| 2812 | 1 | |
| 2827 | 1 | |
| 2900 | 4 | |
| 3000 | 53 | |
| 3050 | 1 | |
| 3100 | 6 | |
| 3140 | 1 | |
| 3150 | 1 | |
| 3160 | 1 | |
| 3177 | 1 | |
| 3200 | 12 | |
| 3250 | 2 | |
| 3300 | 3 | |
| 3368 | 1 | |
| 3400 | 6 | |
| 3420 | 1 | |
| 3500 | 31 | |
| 3550 | 1 | |
| 3600 | 8 | |
| 3700 | 4 | |
| 3792 | 1 | |
| 3800 | 9 | |
| 3900 | 4 | |
| 4000 | 73 | |
| 4011 | 1 | |
| 4100 | 2 | |
| 4132 | 1 | |
| 4200 | 5 | |
| 4280 | 1 | |
| 4300 | 2 | |
| 4311 | 1 | |
| 4400 | 3 | |
| 4500 | 14 | |
| 4600 | 2 | |
| 4700 | 4 | |
| 4750 | 1 | |
| 4800 | 4 | |
| 4900 | 1 | |
| 4920 | 1 | |
| 4946 | 1 | |
| 4980 | 1 | |
| 5000 | 74 | |
| 5100 | 3 | |
| 5200 | 2 | |
| 5300 | 3 | |
| 5350 | 1 | |
| 5400 | 3 | |
| 5500 | 10 | |
| 5600 | 4 | |
| 5700 | 4 | |
| 5800 | 5 | |
| 5900 | 1 | |
| 6000 | 77 | |
| 6100 | 2 | |
| 6130 | 1 | |
| 6200 | 2 | |
| 6216 | 1 | |
| 6300 | 1 | |
| 6334 | 1 | |
| 6400 | 5 | |
| 6500 | 11 | |
| 6600 | 2 | |
| 6800 | 3 | |
| 6900 | 2 | |
| 7000 | 50 | |
| 7100 | 3 | |
| 7200 | 5 | |
| 7340 | 1 | |
| 7400 | 1 | |
| 7500 | 13 | |
| 7600 | 1 | |
| 7800 | 3 | |
| 7900 | 2 | |
| 8000 | 84 | |
| 8100 | 1 | |
| 8200 | 3 | |
| 8250 | 1 | |
| 8300 | 1 | |
| 8400 | 1 | |
| 8470 | 1 | |
| 8500 | 9 | |
| 8700 | 4 | |
| 8800 | 1 | |
| 8900 | 1 | |
| 9000 | 37 | |
| 9100 | 1 | |
| 9120 | 1 | |
| 9200 | 1 | |
| 9210 | 1 | |
| 9250 | 1 | |
| 9400 | 1 | |
| 9500 | 7 | |
| 9700 | 2 | |
| 10000 | 129 | |
| 10100 | 1 | |
| 10107 | 1 | |
| 10320 | 1 | |
| 10450 | 1 | |
| 10500 | 9 | |
| 10600 | 1 | |
| 11000 | 23 | |
| 11100 | 1 | |
| 11200 | 1 | |
| 11300 | 4 | |
| 11500 | 4 | |
| 12000 | 70 | |
| 12030 | 1 | |
| 12200 | 1 | |
| 12500 | 4 | |
| 13000 | 29 | |
| 13200 | 1 | |
| 13300 | 1 | |
| 13500 | 5 | |
| 13800 | 1 | |
| 14000 | 42 | |
| 14150 | 1 | |
| 14500 | 6 | |
| 15000 | 102 | |
| 15300 | 1 | |
| 15500 | 3 | |
| 16000 | 32 | |
| 16200 | 1 | |
| 16300 | 1 | |
| 16500 | 2 | |
| 17000 | 21 | |
| 17200 | 1 | |
| 17300 | 2 | |
| 17500 | 6 | |
| 17800 | 1 | |
| 18000 | 35 | |
| 19000 | 11 | |
| 19500 | 1 | |
| 19800 | 1 | |
| 20000 | 132 | |
| 20350 | 1 | |
| 21000 | 15 | |
| 21500 | 1 | |
| 22000 | 19 | |
| 22500 | 1 | |
| 23000 | 8 | |
| 23107 | 1 | |
| 23800 | 1 | |
| 24000 | 11 | |
| 25000 | 67 | |
| 25200 | 1 | |
| 26000 | 8 | |
| 27000 | 10 | |
| 28000 | 16 | |
| 28570 | 1 | |
| 29000 | 4 | |
| 29500 | 1 | |
| 30000 | 66 | |
| 31000 | 1 | |
| 31200 | 1 | |
| 32000 | 4 | |
| 33000 | 2 | |
| 34000 | 5 | |
| 34500 | 1 | |
| 35000 | 32 | |
| 36000 | 5 | |
| 38000 | 3 | |
| 40000 | 38 | |
| 40300 | 1 | |
| 42000 | 1 | |
| 42300 | 1 | |
| 43000 | 1 | |
| 45000 | 10 | |
| 46000 | 1 | |
| 47000 | 1 | |
| 48000 | 1 | |
| 50000 | 21 | |
| 54000 | 1 | |
| 54600 | 1 | |
| 55000 | 1 | |
| 60000 | 5 | |
| 65000 | 1 | |
| 70000 | 9 | |
| 80000 | 3 | |
| 85000 | 2 | |
| 90000 | 2 | |
| 100000 | 6 | |
| 105000 | 1 | |
| 120000 | 1 | |
| 140000 | 1 | |
| 180000 | 1 | |
| 200000 | 200000 | 1 |
| 0 | No income | 0 |
| 999990 | NAP, other countries | 34675 |
| 999998 | DK | 103 |
| 999999 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1902 | 34778 |
Valid range from 1000 to 200000
se_inc Family income: Sweden
| Value 15790 | Frequency | |
|---|---|---|
| 1000 | 1.000 SEK/month pre-tax | 4 |
| 2000 | 1 | |
| 3000 | 2 | |
| 4000 | 6 | |
| 5000 | 3 | |
| 6000 | 2 | |
| 7000 | 15 | |
| 8000 | 7 | |
| 9000 | 4 | |
| 10000 | 14 | |
| 11000 | 11 | |
| 12000 | 19 | |
| 13000 | 10 | |
| 14000 | 16 | |
| 15000 | 22 | |
| 16000 | 17 | |
| 17000 | 12 | |
| 18000 | 25 | |
| 19000 | 16 | |
| 20000 | 49 | |
| 21000 | 25 | |
| 22000 | 22 | |
| 23000 | 23 | |
| 24000 | 14 | |
| 25000 | 44 | |
| 26000 | 16 | |
| 27000 | 23 | |
| 28000 | 27 | |
| 29000 | 17 | |
| 30000 | 56 | |
| 31000 | 12 | |
| 32000 | 15 | |
| 33000 | 9 | |
| 34000 | 11 | |
| 35000 | 53 | |
| 36000 | 11 | |
| 37000 | 12 | |
| 38000 | 20 | |
| 39000 | 9 | |
| 40000 | 63 | |
| 41000 | 14 | |
| 42000 | 19 | |
| 43000 | 14 | |
| 44000 | 17 | |
| 45000 | 38 | |
| 46000 | 11 | |
| 47000 | 17 | |
| 48000 | 12 | |
| 49000 | 6 | |
| 50000 | 47 | |
| 51000 | 4 | |
| 52000 | 5 | |
| 53000 | 4 | |
| 54000 | 9 | |
| 55000 | 22 | |
| 56000 | 3 | |
| 57000 | 5 | |
| 58000 | 6 | |
| 59000 | 2 | |
| 60000 | 21 | |
| 61000 | 3 | |
| 62000 | 2 | |
| 63000 | 5 | |
| 64000 | 3 | |
| 65000 | 16 | |
| 66000 | 2 | |
| 67000 | 1 | |
| 68000 | 1 | |
| 70000 | 17 | |
| 71000 | 1 | |
| 74000 | 2 | |
| 75000 | 5 | |
| 78000 | 1 | |
| 80000 | 9 | |
| 82000 | 1 | |
| 83000 | 2 | |
| 85000 | 7 | |
| 87000 | 1 | |
| 88000 | 1 | |
| 89000 | 1 | |
| 90000 | 5 | |
| 95000 | 1 | |
| 96000 | 2 | |
| 99000 | 1 | |
| 100000 | 4 | |
| 105000 | 2 | |
| 110000 | 5 | |
| 118000 | 1 | |
| 120000 | 2 | |
| 125000 | 1 | |
| 155000 | 1 | |
| 160000 | 1 | |
| 404000 | 1 | |
| 499000 | 499.000 SEK/month pre-tax | 1 |
| 0 | No income | 0 |
| 999990 | NAP, other countries | 35371 |
| 999998 | DK | 0 |
| 999999 | NA | 187 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1122 | 35558 |
Valid range from 1000 to 499000
si_inc Family income: Slovenia
| Value 15889 | Frequency | |
|---|---|---|
| 40 | 40.000 | 2 |
| 43 | 1 | |
| 48 | 2 | |
| 49 | 1 | |
| 50 | 2 | |
| 60 | 2 | |
| 62 | 1 | |
| 70 | 3 | |
| 75 | 3 | |
| 78 | 1 | |
| 80 | 7 | |
| 82 | 1 | |
| 83 | 2 | |
| 86 | 1 | |
| 87 | 1 | |
| 88 | 1 | |
| 90 | 4 | |
| 94 | 1 | |
| 100 | 12 | |
| 104 | 1 | |
| 109 | 1 | |
| 110 | 2 | |
| 118 | 1 | |
| 119 | 1 | |
| 120 | 12 | |
| 125 | 1 | |
| 128 | 1 | |
| 130 | 1 | |
| 135 | 1 | |
| 140 | 5 | |
| 150 | 21 | |
| 152 | 1 | |
| 160 | 4 | |
| 162 | 1 | |
| 164 | 1 | |
| 167 | 1 | |
| 170 | 6 | |
| 174 | 1 | |
| 180 | 10 | |
| 187 | 1 | |
| 190 | 4 | |
| 192 | 1 | |
| 194 | 1 | |
| 200 | 26 | |
| 210 | 7 | |
| 212 | 1 | |
| 215 | 1 | |
| 220 | 11 | |
| 230 | 10 | |
| 240 | 11 | |
| 250 | 27 | |
| 260 | 7 | |
| 270 | 5 | |
| 280 | 10 | |
| 290 | 1 | |
| 300 | 57 | |
| 310 | 1 | |
| 320 | 2 | |
| 322 | 1 | |
| 330 | 5 | |
| 350 | 22 | |
| 360 | 4 | |
| 370 | 2 | |
| 380 | 6 | |
| 390 | 1 | |
| 400 | 38 | |
| 420 | 2 | |
| 430 | 2 | |
| 450 | 13 | |
| 470 | 2 | |
| 480 | 1 | |
| 500 | 45 | |
| 520 | 1 | |
| 530 | 1 | |
| 535 | 1 | |
| 550 | 9 | |
| 560 | 1 | |
| 600 | 14 | |
| 630 | 2 | |
| 650 | 3 | |
| 700 | 9 | |
| 750 | 3 | |
| 800 | 8 | |
| 900 | 1 | |
| 988 | 1 | |
| 996 | 996.000 and more | 14 |
| 0 | No income | 4 |
| 999990 | NAP, other countries | 35677 |
| 999997 | Refused | 0 |
| 999998 | DK | 211 |
| 999999 | NA | 271 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 517 | 36163 |
Valid range from 40 to 996
tw_inc Family income: Taiwan
| Value 15988 | Frequency | |
|---|---|---|
| 2 | less than nt$10,000 | 93 |
| 3 | nt$10,001-nt$20,000 | 135 |
| 4 | nt$20,001-nt$30,000 | 152 |
| 5 | nt$30,001-nt$40,000 | 186 |
| 6 | nt$40,001-nt$50,000 | 177 |
| 7 | nt$50,001-nt$60,000 | 241 |
| 8 | nt$60,001-nt$70,000 | 140 |
| 9 | nt$70,001-nt$80,000 | 155 |
| 10 | nt$80,001-nt$90,000 | 100 |
| 11 | nt$90,001-nt$100,000 | 155 |
| 12 | nt$100,001-nt$110,000 | 94 |
| 13 | nt$110,001-nt$120,000 | 61 |
| 14 | nt$120,001-nt$130,000 | 59 |
| 15 | nt$130,001-nt$140,000 | 17 |
| 16 | nt$140,001-nt$150,000 | 42 |
| 17 | nt$150,001-nt$160,000 | 30 |
| 18 | nt$160,001-nt$170,000 | 15 |
| 19 | nt$170,001-nt$180,000 | 11 |
| 20 | nt$180,001-nt$190,000 | 14 |
| 21 | nt$190,001-nt$200,000 | 20 |
| 22 | nt$200,001-nt$300,000 | 45 |
| 23 | nt$300,001-nt$400,000 | 12 |
| 24 | nt$400,001-nt$500,000 | 6 |
| 25 | nt$500,01-nt$1,000,000 | 10 |
| 26 | more than nt$1,000,000 | 5 |
| 0 | No income | 15 |
| 999990 | NAP, other countries | 34533 |
| 999997 | refused | 37 |
| 999998 | dk | 120 |
| 999999 | na | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1975 | 34705 |
Valid range from 2 to 26
uy_inc Family income: Uruguay
| Value 16087 | Frequency | |
|---|---|---|
| 800 | 800 | 1 |
| 994 | 1 | |
| 1000 | 1 | |
| 1200 | 1 | |
| 1300 | 2 | |
| 1400 | 1 | |
| 1500 | 43 | |
| 1600 | 2 | |
| 1700 | 2 | |
| 1723 | 1 | |
| 1800 | 2 | |
| 2000 | 9 | |
| 2025 | 1 | |
| 2042 | 1 | |
| 2282 | 1 | |
| 2300 | 1 | |
| 2400 | 2 | |
| 2500 | 7 | |
| 2566 | 1 | |
| 2600 | 2 | |
| 2700 | 3 | |
| 2739 | 1 | |
| 2748 | 1 | |
| 2780 | 1 | |
| 2800 | 2 | |
| 2850 | 1 | |
| 3000 | 35 | |
| 3100 | 1 | |
| 3184 | 1 | |
| 3200 | 2 | |
| 3250 | 1 | |
| 3300 | 3 | |
| 3400 | 1 | |
| 3500 | 34 | |
| 3596 | 1 | |
| 3600 | 3 | |
| 3700 | 4 | |
| 3800 | 1 | |
| 3880 | 1 | |
| 3900 | 2 | |
| 4000 | 33 | |
| 4100 | 3 | |
| 4200 | 4 | |
| 4500 | 10 | |
| 4600 | 2 | |
| 4700 | 4 | |
| 4750 | 1 | |
| 4800 | 4 | |
| 5000 | 102 | |
| 5100 | 1 | |
| 5200 | 3 | |
| 5400 | 3 | |
| 5500 | 11 | |
| 5600 | 1 | |
| 6000 | 36 | |
| 6200 | 4 | |
| 6337 | 1 | |
| 6400 | 1 | |
| 6500 | 5 | |
| 6750 | 60 | |
| 6800 | 2 | |
| 7000 | 40 | |
| 7201 | 1 | |
| 7300 | 1 | |
| 7400 | 2 | |
| 7500 | 7 | |
| 7600 | 1 | |
| 7700 | 1 | |
| 7800 | 2 | |
| 7850 | 1 | |
| 8000 | 41 | |
| 8200 | 2 | |
| 8300 | 1 | |
| 8400 | 2 | |
| 8415 | 1 | |
| 8500 | 53 | |
| 8888 | 1 | |
| 9000 | 22 | |
| 9100 | 1 | |
| 9200 | 1 | |
| 9500 | 2 | |
| 10000 | 47 | |
| 10400 | 1 | |
| 10450 | 1 | |
| 10500 | 54 | |
| 10700 | 1 | |
| 10900 | 1 | |
| 11000 | 14 | |
| 11420 | 1 | |
| 11500 | 4 | |
| 11900 | 1 | |
| 12000 | 31 | |
| 12343 | 1 | |
| 12500 | 35 | |
| 13000 | 18 | |
| 13500 | 2 | |
| 13550 | 1 | |
| 13800 | 1 | |
| 14000 | 19 | |
| 14200 | 2 | |
| 14500 | 2 | |
| 15000 | 81 | |
| 15500 | 1 | |
| 15600 | 1 | |
| 15950 | 1 | |
| 16000 | 10 | |
| 16504 | 1 | |
| 17000 | 14 | |
| 17600 | 1 | |
| 18000 | 6 | |
| 18500 | 59 | |
| 19000 | 6 | |
| 20000 | 35 | |
| 20500 | 1 | |
| 21000 | 5 | |
| 21600 | 1 | |
| 22000 | 9 | |
| 22500 | 1 | |
| 23000 | 4 | |
| 23500 | 43 | |
| 24000 | 2 | |
| 25000 | 14 | |
| 26000 | 3 | |
| 27000 | 3 | |
| 28000 | 2 | |
| 29000 | 2 | |
| 30000 | 17 | |
| 32000 | 4 | |
| 32500 | 1 | |
| 32750 | 45 | |
| 34000 | 2 | |
| 35000 | 2 | |
| 35300 | 1 | |
| 36000 | 1 | |
| 37000 | 1 | |
| 38000 | 1 | |
| 40000 | 9 | |
| 42000 | 1 | |
| 45000 | 3 | |
| 50000 | 29 | |
| 53000 | 1 | |
| 55000 | 2 | |
| 56000 | 1 | |
| 60000 | 4 | |
| 70000 | 14 | |
| 85000 | 1 | |
| 90000 | 1 | |
| 100000 | 100000 | 4 |
| 0 | No income | 1 |
| 999990 | NAP, other countries | 35243 |
| 999997 | Refused | 93 |
| 999998 | DK | 0 |
| 999999 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1343 | 35337 |
Valid range from 800 to 100000
za_inc Family income: South Africa
| Value 16186 | Frequency | |
|---|---|---|
| 250 | R1 - R500 | 123 |
| 625 | R501 -R750 | 145 |
| 875 | R751 - R1 000 | 396 |
| 1250 | R1 001-R1 500 | 251 |
| 1750 | R1 501 - R2 000 | 270 |
| 2500 | R2 001 - R3 000 | 221 |
| 4000 | R3 001 - R5 000 | 227 |
| 6250 | R5 001 - R7 500 | 161 |
| 8750 | R7 501 - R10 000 | 134 |
| 12500 | R10 001 - R15 000 | 89 |
| 17500 | R15 001 - R20 000 | 73 |
| 25000 | R20 001 - R30 000 | 49 |
| 40000 | R30 001 - R50 000 | 33 |
| 60000 | R 50 001 + | 9 |
| 0 | No income | 46 |
| 999990 | NAP, other countries | 33773 |
| 999997 | Refuse to answer | 340 |
| 999998 | Uncertain or Don?t know | 328 |
| 999999 | NA | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2181 | 34499 |
Valid range from 250 to 60000
hompop How many persons in household
| Value 16285 | Frequency | |
|---|---|---|
| 1 | 1 | 4807 |
| 2 | 2 | 9565 |
| 3 | 3 | 6814 |
| 4 | 4 | 7248 |
| 5 | 5, FI: 5 or more | 3893 |
| 6 | 6 | 2008 |
| 7 | 7 | 920 |
| 8 | 8,SE:8 persons or more | 449 |
| 9 | 9 | 238 |
| 10 | 10 | 145 |
| 11 | 11 | 79 |
| 12 | 12 | 51 |
| 13 | 13 | 17 |
| 14 | 14 | 15 |
| 15 | 15 | 7 |
| 16 | 16 | 2 |
| 17 | 17 | 1 |
| 18 | 18 | 1 |
| 20 | 20 | 3 |
| 21 | 21 | 2 |
| 28 | 28 | 1 |
| 99 | NA, refused | 414 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36266 | 414 |
Valid range from 1 to 28
hhcycle Household composition:children+adults
| Value 16384 | Frequency | |
|---|---|---|
| 1 | Single household | 4618 |
| 2 | 1 adult,1 child | 612 |
| 3 | 1 adult,2 child | 429 |
| 4 | 1 adult,3 or > ch | 334 |
| 5 | 2 adults | 8497 |
| 6 | 2 adults,1 child | 2670 |
| 7 | 2 adults,2 child | 3164 |
| 8 | 2 adults,3 or > ch | 1850 |
| 9 | 3 adults | 3249 |
| 10 | 3 adults+children | 2955 |
| 11 | 4 adults | 1810 |
| 12 | 4 adults+ children | 1439 |
| 13 | 5 adults | 577 |
| 14 | 5 adults+children | 722 |
| 15 | 6 adults | 192 |
| 16 | 6 adults+children | 241 |
| 17 | 7 adults | 49 |
| 18 | 7 adults+children | 95 |
| 19 | 8 adults | 11 |
| 20 | 8 adults+children | 33 |
| 21 | 9 adults | 6 |
| 22 | 9 adults+children | 13 |
| 23 | 10 adults | 2 |
| 24 | 10 adults+children | 2 |
| 25 | 11 adults | 1 |
| 26 | 11 adults+children | 2 |
| 27 | 12 adults | 0 |
| 28 | 12 adults+children | 1 |
| 95 | Other | 7 |
| 0 | Not available: TW | 2147 |
| 99 | NA,refused | 952 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 33581 | 3099 |
Valid range from 1 to 95
party_lr R: Party affiliation: left-right (derived)
| Value 16483 | Frequency | |
|---|---|---|
| 1 | Far left etc | 917 |
| 2 | Left,center left | 5054 |
| 3 | Center,liberal | 6039 |
| 4 | Right,conservative | 5511 |
| 5 | Far right etc | 824 |
| 6 | Other,no specific | 333 |
| 7 | No party,no preference | 6155 |
| 0 | Not available: CL, IL, TW | 5422 |
| 8 | Dont know | 4256 |
| 9 | No answer,refused | 2169 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 24833 | 11847 |
Valid range from 1 to 7
au_prty R: Party affiliation: Australia
| Value 16582 | Frequency | |
|---|---|---|
| 1 | Liberal Party | 875 |
| 2 | Labour Party (ALP) | 954 |
| 3 | National Party | 84 |
| 4 | Australian Democrats | 26 |
| 5 | Greens | 139 |
| 6 | One nation | 36 |
| 7 | Family First | 46 |
| 95 | Other Party | 11 |
| 0 | NAP, other countries | 33911 |
| 96 | No party preference | 510 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 88 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2171 | 34509 |
Valid range from 1 to 95
ch_prty R: Party affiliation: Switzerland
| Value 16681 | Frequency | |
|---|---|---|
| 1 | Christian Democratic Party | 80 |
| 2 | Evangelical Peoples Party | 12 |
| 3 | Radical Party | 92 |
| 4 | Social Democratic Party | 143 |
| 5 | Swiss Peoples Party | 128 |
| 6 | Independent Party | 0 |
| 7 | Liberal Party | 23 |
| 8 | Labour Party | 5 |
| 9 | Swiss Democrats | 3 |
| 10 | Green Party | 72 |
| 11 | Freedom Party | 1 |
| 95 | Other Party | 16 |
| 0 | NAP, other countries | 35677 |
| 96 | Would not vote,no party preference | 384 |
| 97 | Refused | 0 |
| 98 | DK | 44 |
| 99 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 575 | 36105 |
Valid range from 1 to 95
cl_prty R: Party affiliation: Chile
| Value 16780 | Frequency | |
|---|---|---|
| 1 | Christian Democratic | 168 |
| 2 | Independent Democratic | 91 |
| 3 | Communist Party of Chile | 28 |
| 4 | Nation. Renewal Prty | 122 |
| 5 | Chilean Socialist P | 129 |
| 6 | Radical Social Democratic | 20 |
| 7 | Democracy Party PPD | 102 |
| 8 | Humanist Party | 28 |
| 95 | Other Party | 2 |
| 0 | NAP, other countries | 35175 |
| 96 | Would not vote,no party preference | 767 |
| 97 | Refused | 0 |
| 98 | DK | 11 |
| 99 | NA | 37 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 690 | 35990 |
Valid range from 1 to 95
cz_prty R: Party affiliation: Czech Republic
| Value 16879 | Frequency | |
|---|---|---|
| 6 | CSSD Czech Social Democratic Party Party | 178 |
| 12 | KSCM Communist Party of Bohemia and Moravia Party | 68 |
| 15 | KDU-CSL Christian Democratic Party-Czechoslovak People´s Par | 37 |
| 20 | Independents Party | 1 |
| 22 | ODS Civic Democratic Party Party | 187 |
| 26 | ROI Roma Civic Initiative Party | 1 |
| 27 | SNK European Democrats Party | 3 |
| 30 | SZ Green Party Party | 31 |
| 96 | 302 | |
| 0 | NAP, other countries | 35458 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 414 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 808 | 35872 |
Valid range from 6 to 96
do_prty R: Party affiliation: Dominican Republic
| Value 16978 | Frequency | |
|---|---|---|
| 1 | PRD | 380 |
| 2 | PLD | 760 |
| 3 | PRSC | 73 |
| 95 | Other Party | 4 |
| 96 | Would not vote,no party preference | 0 |
| 0 | NAP, other countries | 34516 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 947 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1217 | 35463 |
Valid range from 1 to 96
fi_prty R: Party affiliation: Finland
| Value 17077 | Frequency | |
|---|---|---|
| 1 | Social Democr Party | 206 |
| 2 | Centre Party of FIN | 178 |
| 3 | Nat Coalition Party | 180 |
| 4 | Left Alliance | 56 |
| 5 | Swedish Peoples Prty | 31 |
| 6 | Green League | 93 |
| 7 | Christian League | 35 |
| 8 | True Finns | 47 |
| 95 | Other Party | 9 |
| 0 | NAP, other countries | 35326 |
| 96 | Would not vote,no preference | 103 |
| 97 | Refused | 136 |
| 98 | DK | 256 |
| 99 | NA | 24 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 835 | 35845 |
Valid range from 1 to 95
fla_prty R: Party affiliation: Flanders
| Value 17176 | Frequency | |
|---|---|---|
| 1 | CD&V / N-VA - Christian Democrats - National Flemish Allianc | 379 |
| 2 | SP.a / Spirit - Socialist Party | 215 |
| 3 | Open VLD - Liberal Party | 201 |
| 4 | Groen! - Green Party | 70 |
| 5 | Vlaams Belang - Extreme right wing party | 139 |
| 6 | Lijst Dedecker - Liberal Party | 43 |
| 10 | Left party/pvda/cap | 3 |
| 11 | Christian Democrats Wallonia | 2 |
| 12 | Vote for a certain person not for a party | 5 |
| 95 | Other Party | 9 |
| 96 | Would not vote,no party preference | 7 |
| 0 | NAP. other countries | 35423 |
| 97 | Refused | 0 |
| 98 | DK | 80 |
| 99 | NA | 104 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1073 | 35607 |
Valid range from 1 to 96
fr_prty R: Party affiliation: France
| Value 17275 | Frequency | |
|---|---|---|
| 1 | Communist party | 44 |
| 2 | Far left | 45 |
| 3 | Socialist party | 441 |
| 4 | Green, Ecologists | 94 |
| 5 | UDF-Liberal | 194 |
| 6 | RPR-Conservative | 528 |
| 7 | National Front | 29 |
| 95 | Other Party | 10 |
| 0 | NAP, other countries | 34619 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 676 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1385 | 35295 |
Valid range from 1 to 95
hr_prty R: Party affiliation: Croatia
| Value 17374 | Frequency | |
|---|---|---|
| 1 | HDZ - Croatian Democratic Union (Conservative) | 157 |
| 2 | SDP - Social Democratic Party (Soc-Democr) | 115 |
| 3 | HSP - Croatian Party of Rights (Right, Conservative) | 46 |
| 4 | HSS - Croatian Peasant Party (Center) | 32 |
| 5 | HNS - Croatian People´s Party - Liberal Democrats (Center) | 26 |
| 6 | HSLS - Croatian Social Liberal Party (Liberal) | 15 |
| 7 | IDS - Istrian Democratic Assembly (Regional) | 9 |
| 8 | HSU - Croatian Party of Pensioners(Party of retired persons) | 7 |
| 95 | Other Party | 22 |
| 0 | NAP, other countries | 35480 |
| 96 | No party, no preference | 583 |
| 97 | Refused | 133 |
| 98 | DK | 55 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 429 | 36251 |
Valid range from 1 to 95
il_prty R: Party affiliation: Israel
| Value 17473 | Frequency | |
|---|---|---|
| 1 | Haavoda | 158 |
| 2 | Likud | 202 |
| 3 | Kadima | 78 |
| 4 | Shase | 48 |
| 5 | Meretz | 58 |
| 6 | Mafdal | 50 |
| 7 | Yahadut-hatora | 54 |
| 8 | Gimlaim | 22 |
| 9 | Israel Beteno | 47 |
| 10 | Haadash | 52 |
| 11 | Balad | 45 |
| 12 | Raam, Taal | 30 |
| 14 | Shinuy | 1 |
| 15 | ale yarok | 9 |
| 16 | Hayerukim | 12 |
| 95 | 19 | |
| 0 | NAP, other countries | 35335 |
| 97 | Refused | 80 |
| 98 | DK | 139 |
| 99 | NA | 241 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 885 | 35795 |
Valid range from 1 to 95
jp_prty R: Party affiliation: Japan
| Value 17572 | Frequency | |
|---|---|---|
| 1 | Liberal Democr Party | 368 |
| 2 | The Democratic Party | 201 |
| 3 | Liberal Party | 0 |
| 4 | New Komeito | 44 |
| 5 | Japanese Communist Party | 29 |
| 6 | Social Democr Party | 19 |
| 95 | Other Party | 12 |
| 0 | NAP, other countries | 35427 |
| 96 | Would not vote,no party preference | 571 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 9 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 673 | 36007 |
Valid range from 1 to 95
kr_prty R: Party affiliation: South Korea
| Value 17671 | Frequency | |
|---|---|---|
| 1 | People First Party | 18 |
| 2 | Democratic Labor Party | 162 |
| 3 | Uri Party | 228 |
| 4 | Democratic Party | 72 |
| 5 | Grand National Party | 672 |
| 95 | Other Party | 1 |
| 0 | NAP, other countries | 35249 |
| 96 | Would not vote,no party preference | 228 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 50 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1153 | 35527 |
Valid range from 1 to 95
lv_prty R: Party affiliation: Latvia
| Value 17770 | Frequency | |
|---|---|---|
| 1 | Mâras zeme | 0 |
| 2 | Saskanas centrs | 27 |
| 3 | Political Union,´Dzimtene´ | 1 |
| 4 | Party ´Visu Latvijai´ | 2 |
| 5 | Organisation For Human Rights in United Latvia | 22 |
| 6 | Political organization (party),´Euro-sceptics´ | 0 |
| 7 | Political organisation ´Green and Farmer union´ | 43 |
| 8 | Party ´Our Land´ | 0 |
| 9 | Union ´Latvias First Party´ and ´Latvias Way´ | 10 |
| 10 | Latvian Social Democratic Workers Party (LSDSP) | 8 |
| 11 | Party ´Tevzemes savieniba´ | 1 |
| 12 | National Force Unions | 0 |
| 13 | New Democrats | 0 |
| 14 | The Peoples party | 63 |
| 15 | Jaunais laiks | 55 |
| 16 | Political organisation ´Latvie?u Latvija´ | 0 |
| 17 | Political organization ´Party of Pensioners and Seniors´ | 0 |
| 18 | Party of Social justice | 0 |
| 19 | Alliance ´Tevzemei un Brivibai´/LNNK | 19 |
| 95 | Other Party | 1 |
| 0 | NAP, other countries | 35611 |
| 96 | Would not vote,no party preference | 511 |
| 97 | Refused | 48 |
| 98 | DK | 258 |
| 99 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 252 | 36428 |
Valid range from 1 to 95
mx_prty R: Party affiliation: Mexico
| Value 17869 | Frequency | |
|---|---|---|
| 1 | PAN | 251 |
| 2 | PRI | 367 |
| 3 | PRD | 194 |
| 4 | PT | 10 |
| 5 | PVEM | 7 |
| 6 | Convergencia | 3 |
| 7 | PASC | 0 |
| 8 | PANAL | 3 |
| 95 | Other Party | 2 |
| 0 | NAP, other countries | 35073 |
| 96 | Would not vote,no party preference | 655 |
| 97 | Refused | 0 |
| 98 | DK | 30 |
| 99 | NA | 85 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 837 | 35843 |
Valid range from 1 to 95
no_prty R: Party affiliation: Norway
| Value 17968 | Frequency | |
|---|---|---|
| 1 | Red Electoral Allian | 13 |
| 2 | Labour Party | 258 |
| 3 | Progress Party | 195 |
| 4 | Conservative Party | 151 |
| 5 | Christ Democr Party | 37 |
| 6 | Centre party | 57 |
| 7 | Socialist Left | 89 |
| 8 | Liberal | 48 |
| 95 | Other Party | 10 |
| 0 | NAP, other countries | 35537 |
| 96 | Would not vote,no party preference | 43 |
| 97 | Refused | 0 |
| 98 | DK | 210 |
| 99 | NA | 32 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 858 | 35822 |
Valid range from 1 to 95
nz_prty R: Party affiliation: New Zealand
| Value 18067 | Frequency | |
|---|---|---|
| 1 | Act | 6 |
| 2 | Alliance | 1 |
| 3 | Green | 20 |
| 4 | Labour | 365 |
| 5 | National | 369 |
| 6 | NZ First | 29 |
| 7 | Progressive Coalition | 5 |
| 8 | United Future | 13 |
| 9 | Maori Party | 17 |
| 95 | Other Party | 4 |
| 0 | NAP, other countries | 35684 |
| 96 | Would not vote,no party preference | 68 |
| 97 | Refused | 0 |
| 98 | DK | 62 |
| 99 | NA | 37 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 829 | 35851 |
Valid range from 1 to 95
ph_prty R: Party affiliation: Philippines
| Value 18166 | Frequency | |
|---|---|---|
| 1 | NATIONALISTA | 5 |
| 3 | OPOSISYON/OPPOSITION | 81 |
| 4 | LIBERAL PARTY | 12 |
| 5 | KAMPI | 9 |
| 6 | INDEPENDENT | 1 |
| 8 | PARTIDO NINA TRILLANES AT ESCUDERO | 1 |
| 9 | TEAM UNITY | 1 |
| 10 | ADMINISTRATION | 54 |
| 13 | PARTIDO NI ERAP | 8 |
| 14 | AKBAYAN | 2 |
| 15 | FPJ PM - FERNANDO POE JR. - PARTIDONG MASA | 3 |
| 19 | LAKAS-NUCD-CMD | 21 |
| 24 | BUHAY | 2 |
| 28 | CIBAC | 1 |
| 29 | MASANG PILIPINO | 3 |
| 30 | ANAKBAYAN | 1 |
| 31 | BAYAN MUNA | 3 |
| 33 | LABAN | 1 |
| 36 | LAKAS | 11 |
| 38 | LACSON | 1 |
| 39 | BOPK - BANDO OSMEŃA PUNDOK KAUSWAGAN | 3 |
| 41 | KABABAIHAN | 1 |
| 46 | PARTIDO NI MAYOR CONSTANTINO | 2 |
| 47 | RIGHTESS | 1 |
| 48 | NEUTRAL | 3 |
| 49 | ANAK PAWIS | 4 |
| 50 | NPC-NATIONAL PEOPLE COALITION | 5 |
| 51 | OMPIA PARTY | 9 |
| 52 | UMMAH PARTY | 1 |
| 53 | PARTIDO NI CORY AQUINO | 1 |
| 54 | LABAN SA PARTIDO NI GLORIA | 1 |
| 55 | LABAN NG DEMOKRATIKONG PILIPINO | 2 |
| 56 | PARTIDO NI JUN LOZADA | 1 |
| 57 | PARTIDO NI SILVERIO | 1 |
| 58 | AMANTE | 1 |
| 59 | POVERTY | 1 |
| 60 | PARTIDO NI GOV.MIGS DOMINGUEZ (SARANGGANI) | 2 |
| 61 | PARTIDO NI MAYOR AGUILA | 1 |
| 62 | DUTERTE PARA SA MASA | 1 |
| 63 | SAMAHANG WARAY | 1 |
| 64 | KILUSAN NG MASANG PILIPINO | 1 |
| 65 | CHRISTIAN MUSLIM DEMOCRATIC FEDERATION | 1 |
| 66 | THE TEACHER | 1 |
| 95 | Other Party | 0 |
| 0 | NAP, other countries | 35480 |
| 96 | Would not vote,no party preference | 860 |
| 97 | Refused | 6 |
| 98 | DK | 44 |
| 99 | NA | 24 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 266 | 36414 |
Valid range from 1 to 95
pl_prty R: Party affiliation: Poland
| Value 18265 | Frequency | |
|---|---|---|
| 1 | LPR League of Polish Families | 14 |
| 2 | LiD Left and Democrats | 81 |
| 3 | MN German Minority | 3 |
| 4 | Womens Party | 7 |
| 5 | PO Civic Platform o Republ o Poland | 403 |
| 6 | PPP Polish Labor Party | 6 |
| 7 | PSL Polish Peasants Prty | 41 |
| 8 | PiS Law and Justice Party | 245 |
| 9 | Patriotic Self-Defense | 4 |
| 10 | Self-Defense of the Republic of Poland | 11 |
| 95 | Other Party | 2 |
| 0 | NAP, other countries | 35387 |
| 96 | Would not vote,no party preference | 0 |
| 97 | Refused | 25 |
| 98 | DK | 29 |
| 99 | NA | 422 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 817 | 35863 |
Valid range from 1 to 95
ru_prty R: Party affiliation: Russia
| Value 18364 | Frequency | |
|---|---|---|
| 1 | Pensioners Party/Party of Social Justice | 18 |
| 2 | Union of right forces | 25 |
| 3 | Yabloko | 25 |
| 4 | Russian Ecological Party ´Green´ (Panfilov A.) | 4 |
| 5 | Country Party of Russia (Lapshin M.) | 10 |
| 7 | Party of Revival/Russian Party of Life (Seleznev G./ Miro | 3 |
| 8 | Motherland (Glazyev S.) | 23 |
| 9 | Liberal Democratic Party of Russia (Ghirinovsky V.) | 67 |
| 10 | United Russia (Gryzlov B.) | 525 |
| 11 | Communist Party of Russian Federation (Zyuganov G.) | 150 |
| 95 | Other Party | 20 |
| 96 | Against all/ threw out/ damaged voting paper | 76 |
| 0 | NAP, other countries | 34675 |
| 97 | Refused | 0 |
| 98 | DK | 388 |
| 99 | NA | 671 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 946 | 35734 |
Valid range from 1 to 96
se_prty R: Party affiliation: Sweden
| Value 18463 | Frequency | |
|---|---|---|
| 1 | C (Centre Party) | 88 |
| 2 | FP (Liberals) | 83 |
| 3 | KD (Christ Democr) | 43 |
| 4 | MP (Ecologists) | 82 |
| 5 | M (Liberal Conserv) | 291 |
| 6 | S (Social Democrats) | 482 |
| 7 | V (Socialists) | 70 |
| 95 | Other Party | 97 |
| 0 | NAP, other countries | 35371 |
| 96 | Would not vote,no party preference | 0 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 73 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1236 | 35444 |
Valid range from 1 to 95
si_prty R: Party affiliation: Slovenia
| Value 18562 | Frequency | |
|---|---|---|
| 1 | DESUS-Democratic ret | 43 |
| 2 | LDS-Liberal Democrat | 110 |
| 3 | SLS-Peoples party | 51 |
| 4 | SNS-Slovenian Nation | 29 |
| 5 | SDS-Slovenian Democratic Party | 170 |
| 6 | NSI-New Slovenia | 30 |
| 7 | SD - Social Democrats | 81 |
| 8 | SMS-Youth Party | 31 |
| 9 | green parties | 10 |
| 10 | AS - Active Slovenia | 6 |
| 95 | Other Party | 15 |
| 0 | NAP, other countries | 35677 |
| 96 | Would not vote,no party preference | 0 |
| 97 | Refused | 0 |
| 98 | DK | 334 |
| 99 | NA | 93 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 576 | 36104 |
Valid range from 1 to 95
tw_prty R: Party affiliation: Taiwan
| Value 18661 | Frequency | |
|---|---|---|
| 1 | KMT Kuo Min Tang | 426 |
| 2 | DPP Democratic Progressive Party | 270 |
| 3 | PFP People First Party | 7 |
| 4 | TSU Taiwan Solidarity Union | 11 |
| 6 | New Party | 2 |
| 95 | Other Party | 39 |
| 0 | NAP, other countries | 34533 |
| 96 | Would not vote,no party preference | 1380 |
| 97 | Refused | 4 |
| 98 | DK | 6 |
| 99 | NA | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 755 | 35925 |
Valid range from 1 to 95
uy_prty R: Party affiliation: Uruguay
| Value 18760 | Frequency | |
|---|---|---|
| 1 | Red Party | 141 |
| 2 | National Party | 218 |
| 3 | Wide front Party | 571 |
| 4 | Independent Party | 9 |
| 95 | Other Party | 6 |
| 0 | NAP, other countries | 35243 |
| 96 | Would not vote,no party preference | 492 |
| 97 | Refused | 0 |
| 98 | DK | 0 |
| 99 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 945 | 35735 |
Valid range from 1 to 95
za_prty R: Party affiliation: South Africa
| Value 18859 | Frequency | |
|---|---|---|
| 1 | African Christian Democratic Party - ACDP | 13 |
| 2 | African National Congress - ANC; incl. SACP and COSATU | 1576 |
| 3 | Azanian People?s Organisation - AZAPO | 5 |
| 4 | Democratic Party or Alliance - DP or DA | 259 |
| 5 | Freedom Front Plus or Vryheidsfront Plus - FF+ or VF+ | 13 |
| 6 | Independent Democrats - ID | 30 |
| 7 | Inkatha Freedom Party - IFP | 54 |
| 8 | Minority Front - MF | 21 |
| 9 | New National Party - NNP | 20 |
| 10 | Pan-Africanist Congress - PAC | 8 |
| 11 | United Christian Democratic Party - UCDP | 3 |
| 12 | United Democratic Movement - UDM | 4 |
| 94 | Uncertain | 234 |
| 95 | Other | 11 |
| 0 | NAP, other countries | 33773 |
| 96 | Will not vote | 320 |
| 97 | Refused | 256 |
| 98 | DK | 77 |
| 99 | NA | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2251 | 34429 |
Valid range from 1 to 95
vote_le R: Vote last election: yes, no
| Value 18958 | Frequency | |
|---|---|---|
| 1 | Yes | 24427 |
| 2 | No | 5771 |
| 0 | Not available: FLA, TW, CH; NAP, not eligible | 5233 |
| 8 | DK | 73 |
| 9 | No answer | 1176 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 30198 | 6482 |
Valid range from 1 to 2
relig R: Religious denomination
| Value 19057 | Frequency | |
|---|---|---|
| 0 | No religion | 7369 |
| 100 | Roman Catholic | 12251 |
| 110 | Greek Catholic | 0 |
| 200 | Protestant | 2123 |
| 210 | Anglican,Ch Engl,Episcopal | 836 |
| 220 | Baptists | 129 |
| 230 | Congregationalists | 1 |
| 240 | European Free Church (Anabaptists) | 0 |
| 241 | Mennonite | 0 |
| 250 | Lutheran, evangelical church | 2573 |
| 260 | Methodist | 207 |
| 270 | Pentecostal | 522 |
| 271 | Full Gospel Church of God | 73 |
| 272 | Apostolic Faith Mission | 45 |
| 273 | Intern Pentecostal Holiness | 3 |
| 274 | St Johnes Apostolic Faith Mission | 44 |
| 275 | Nazareth Baptist Church | 48 |
| 276 | Zion Christian Church | 300 |
| 280 | Presbyterian,Ch of Scot | 213 |
| 281 | GB:Free Presbytarian | 0 |
| 282 | Jehovas Witnesses | 112 |
| 283 | Church of Christ | 27 |
| 284 | New Apostolic | 1 |
| 285 | LDS Church, Apostle Twelve | 157 |
| 286 | Church of God a Saints of Christ | 0 |
| 287 | Church of God | 25 |
| 290 | Other Protestants (no spec. denom.) | 29 |
| 291 | Brethren | 6 |
| 292 | Mormon | 53 |
| 293 | Salvation Army | 19 |
| 294 | Assemblies of God | 52 |
| 295 | Seventh Day Adventists | 66 |
| 296 | CZ:Hussites | 15 |
| 297 | Unitarians,AUS:Uniting church | 204 |
| 298 | United Church CDN | 0 |
| 299 | United Church of Christ | 51 |
| 300 | Orthodox; Eastern Orthodox | 149 |
| 310 | Greek Orthodox | 0 |
| 320 | Russian Orthodox | 1676 |
| 325 | LV: Old Believers | 6 |
| 390 | Orthodox (no spec. mentioned) | 29 |
| 400 | Other Christian Groups | 434 |
| 401 | PH: Aglipayan | 2 |
| 402 | Born Again | 22 |
| 403 | Alliance | 3 |
| 404 | Dating Daan | 1 |
| 405 | Jesus Miracle Crusad | 0 |
| 406 | Jesus is Lord | 0 |
| 407 | Christians | 116 |
| 408 | Espiritista | 0 |
| 409 | Iglesia ni Christo | 54 |
| 410 | Phil Independent Church | 0 |
| 413 | Bible Christian | 1 |
| 423 | Four Square Gospel | 1 |
| 425 | Assembly of Yahweh | 2 |
| 490 | Unspecified Christian Groups | 344 |
| 500 | Jewish | 1049 |
| 510 | Orthodox Jewish | 0 |
| 520 | Conservative Jewish | 0 |
| 530 | Reformist Jewish | 0 |
| 590 | Jewish Religion general | 5 |
| 600 | Islam | 616 |
| 610 | Kharijism | 0 |
| 620 | Mutazilism | 0 |
| 630 | Sunni | 0 |
| 640 | Shiism | 0 |
| 650 | Ismailis | 0 |
| 660 | Other Muslim Religions | 0 |
| 670 | Druse | 41 |
| 690 | Muslim,Mohammedan,Islam | 23 |
| 700 | Buddhists | 421 |
| 790 | Buddhism general | 915 |
| 800 | Hinduism | 169 |
| 810 | Specific Groups | 0 |
| 820 | Sikhism | 1 |
| 890 | Hinduism general | 6 |
| 900 | Other Asian Religion | 3 |
| 901 | Shintoism | 21 |
| 902 | Taoism | 235 |
| 903 | Confucianism | 0 |
| 950 | Other East Asian Religion | 959 |
| 960 | Other Religions | 390 |
| 961 | NZ:Ratana | 10 |
| 962 | US: Native American | 0 |
| 963 | BR, UY: Afro brazilian religion | 11 |
| 970 | Other non-Christian Religions | 13 |
| 998 | Dont know | 157 |
| 999 | No answer | 1241 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35282 | 1398 |
Valid range from 0 to 970
religgrp R: Religious main groups (derived)
| Value 19156 | Frequency | |
|---|---|---|
| 1 | No religion | 8064 |
| 2 | Roman Catholic | 12251 |
| 3 | Protestant | 7621 |
| 4 | Christian Orthodox | 1860 |
| 5 | Jewish | 1054 |
| 6 | Islam | 680 |
| 7 | Buddhism | 1336 |
| 8 | Hinduism | 176 |
| 9 | Other Christian Religions | 1278 |
| 10 | Other Eastern Religions | 1219 |
| 11 | Other Religions | 182 |
| 0 | NAV | 19 |
| 98 | Dont know | 146 |
| 99 | No answer | 794 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35721 | 959 |
Valid range from 1 to 11
attend R: Attendance of religious services
| Value 19255 | Frequency | |
|---|---|---|
| 1 | Several times a week | 2272 |
| 2 | Once a week | 4887 |
| 3 | 2 or 3 times a month | 2480 |
| 4 | Once a month | 1927 |
| 5 | Sev times a year | 6132 |
| 6 | Once a year | 3319 |
| 7 | Less frequently than once a year | 4554 |
| 8 | Never | 10038 |
| 97 | Refused | 62 |
| 98 | DK, varies too much | 198 |
| 99 | No answer | 811 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35609 | 1071 |
Valid range from 1 to 8
topbot R:Top Bottom self-placement 10 pt scale
| Value 19354 | Frequency | |
|---|---|---|
| 1 | Lowest, 01 | 1273 |
| 2 | 02 | 1694 |
| 3 | 03 | 3839 |
| 4 | 04 | 5146 |
| 5 | 05 | 8239 |
| 6 | 06 | 7175 |
| 7 | 07 | 3747 |
| 8 | 08 | 2109 |
| 9 | 09 | 509 |
| 10 | Highest, 10 | 410 |
| 0 | NAV | 1222 |
| 97 | Refused | 15 |
| 98 | DK | 495 |
| 99 | NA | 807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 34141 | 2539 |
Valid range from 1 to 10
au_reg Region: Australia
| Value 19453 | Frequency | |
|---|---|---|
| 1 | New South Wales | 875 |
| 2 | Victoria | 704 |
| 3 | Queensland | 491 |
| 4 | South Australia | 262 |
| 5 | Western Australia | 264 |
| 6 | Tasmania | 84 |
| 7 | Australian Capital Territory | 62 |
| 8 | Northern Territory | 21 |
| 0 | NAP, other countries | 33911 |
| 99 | NA | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2763 | 33917 |
Valid range from 1 to 8
ch_reg Region: Switzerland
| Value 19552 | Frequency | |
|---|---|---|
| 1 | Région lémanique | 200 |
| 2 | Espace Mittelland | 222 |
| 3 | Nordschweiz | 126 |
| 4 | Zürich | 172 |
| 5 | Ostschweiz | 184 |
| 6 | Zentralschweiz | 62 |
| 7 | Ticino | 37 |
| 0 | NAP, other countries | 35677 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1003 | 35677 |
Valid range from 1 to 7
cl_reg Region: Chile
| Value 19651 | Frequency | |
|---|---|---|
| 1 | Tarapaca | 40 |
| 2 | Antofagasta | 50 |
| 3 | Atacama | 25 |
| 4 | Coquimbo | 60 |
| 5 | Valparaiso | 155 |
| 6 | Libertador General | 75 |
| 7 | Maule | 90 |
| 8 | Biobio | 185 |
| 9 | La Araucania | 85 |
| 10 | Los Lagos | 105 |
| 11 | Aisen del General | 10 |
| 12 | Magallanes y Antari | 15 |
| 13 | Metropolitana de Santiago | 610 |
| 0 | NAP, other countries | 35175 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1505 | 35175 |
Valid range from 1 to 13
cz_reg Region: Czech Republic
| Value 19750 | Frequency | |
|---|---|---|
| 1 | Prague | 119 |
| 2 | Central Bohemia | 121 |
| 3 | South Bohemia | 71 |
| 4 | Pilsen | 118 |
| 5 | Carlsbad | 25 |
| 6 | Usti | 122 |
| 7 | Liberec | 50 |
| 8 | Hradec Kralove | 73 |
| 9 | Pardubice | 59 |
| 10 | Vysocina | 55 |
| 11 | South Moravia | 125 |
| 12 | Olomouc | 67 |
| 13 | Moravia-Silesia | 163 |
| 14 | Zlin | 54 |
| 0 | NAP, other countries | 35458 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1222 | 35458 |
Valid range from 1 to 14
do_reg Region: Dominican Republic
| Value 19849 | Frequency | |
|---|---|---|
| 1 | DISTRITO NACIONAL Y SANTO DOMINGO | 619 |
| 2 | AZUA | 42 |
| 3 | BAHORUCO | 39 |
| 4 | BARAHONA | 22 |
| 5 | DAJABON | 31 |
| 6 | DUARTE | 56 |
| 7 | EL SEYBO | 36 |
| 8 | ESPAILLAT | 64 |
| 9 | LA ALTAGRACIA | 54 |
| 10 | ROMANA | 54 |
| 11 | LA VEGA | 75 |
| 12 | MARIA TRINIDAD SANCHEZ | 43 |
| 13 | MONTE CRISTY | 33 |
| 14 | PERAVIA | 47 |
| 15 | PUERTO PLATA | 93 |
| 16 | SAMANA | 44 |
| 17 | SAN CRISTOBAL | 125 |
| 18 | SAN JUAN DE LA MAGUANA | 58 |
| 19 | SAN PEDRO DE MACORIS | 72 |
| 20 | SANCHEZ RAMIREZ | 39 |
| 21 | SANTIAGO | 263 |
| 22 | VALVERDE | 42 |
| 23 | MONS. NOUEL | 40 |
| 24 | MONTE PLATA | 54 |
| 25 | HATO MAYOR | 18 |
| 26 | SAN JOSE DE OCOA | 37 |
| 28 | SALCEDO | 40 |
| 29 | SANTIAGO RODRIGUEZ | 24 |
| 0 | NAP, other countries | 34516 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2164 | 34516 |
Valid range from 1 to 29
fi_reg Region: Finland
| Value 19948 | Frequency | |
|---|---|---|
| 1 | Uusimaa | 372 |
| 2 | Varsinais-Suomi | 103 |
| 4 | Satakunta | 47 |
| 5 | Kanta-Haeme | 52 |
| 6 | Pirkanmaa | 131 |
| 7 | Paeijaet-Haeme | 49 |
| 8 | Kymenlaakso | 47 |
| 9 | South Karelia | 37 |
| 10 | Etelae-Savo | 40 |
| 11 | Pohjois-Savo | 66 |
| 12 | North Karelia | 45 |
| 13 | Central Finland | 77 |
| 14 | South Ostrobothnia | 43 |
| 15 | Ostrobothnia | 45 |
| 16 | Central Ostrobothnia | 15 |
| 17 | North Ostrobothnia | 91 |
| 18 | Kainuu | 20 |
| 19 | Lapland | 51 |
| 20 | Itae-Uusimaa | 18 |
| 21 | Aland | 5 |
| 0 | NAP, other countries | 35326 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1354 | 35326 |
Valid range from 1 to 21
fla_reg Region: Flanders
| Value 20047 | Frequency | |
|---|---|---|
| 1 | Antwerp | 367 |
| 2 | Flemish Brabant | 162 |
| 3 | West Flanders | 248 |
| 4 | East Flanders | 280 |
| 5 | Limburg | 165 |
| 6 | Brussels | 35 |
| 0 | NAP, other countries | 35423 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1257 | 35423 |
Valid range from 1 to 6
fr_reg Region: France
| Value 20146 | Frequency | |
|---|---|---|
| 1 | Ain | 20 |
| 2 | Aisne | 15 |
| 3 | Allier | 14 |
| 4 | Alpes-Hte-Provence | 5 |
| 5 | Hautes-Alpes | 4 |
| 6 | Alpes-Maritimes | 35 |
| 7 | Ardeche | 16 |
| 8 | Ardennes | 11 |
| 9 | Ariege | 2 |
| 10 | Aube | 11 |
| 11 | Aude | 17 |
| 12 | Aveyron | 9 |
| 13 | Bouche-du-Rhone | 68 |
| 14 | Calvados | 28 |
| 16 | Charente | 13 |
| 17 | Charente-Maritime | 23 |
| 18 | Cher | 19 |
| 19 | Correze | 6 |
| 20 | Corse | 9 |
| 21 | Cote-d Or | 18 |
| 22 | Cotes-d Armor | 29 |
| 23 | Creuse | 3 |
| 24 | Dordogne | 16 |
| 25 | Doubs | 22 |
| 26 | Drome | 24 |
| 27 | Eure | 15 |
| 28 | Eure-et-Loire | 18 |
| 29 | Finistere | 42 |
| 30 | Gard | 23 |
| 31 | Haute-Garonne | 37 |
| 32 | Gers | 7 |
| 33 | Gironde | 46 |
| 34 | Herault | 45 |
| 35 | Ille-et-Vilaine | 46 |
| 36 | Indre | 11 |
| 37 | Indre-et-Loire | 11 |
| 38 | Isere | 45 |
| 39 | Jura | 12 |
| 40 | Landes | 18 |
| 41 | Loir-et-Cher | 11 |
| 42 | Loire | 27 |
| 43 | Haute-Loire | 4 |
| 44 | Loire-Atlantique | 44 |
| 45 | Loiret | 17 |
| 46 | Lot | 7 |
| 47 | Lot-et-Garonne | 12 |
| 48 | Lozere | 1 |
| 49 | Maine-et-Loire | 39 |
| 50 | Manche | 24 |
| 51 | Marne | 15 |
| 52 | Haute-Marne | 9 |
| 53 | Mayenne | 12 |
| 54 | Meurthe-et-Moselle | 18 |
| 55 | Meuse | 6 |
| 56 | Morbihan | 30 |
| 57 | Moselle | 35 |
| 58 | Nievre | 15 |
| 59 | Nord | 57 |
| 60 | Oise | 20 |
| 61 | Orne | 12 |
| 62 | Pas-de-Calais | 30 |
| 63 | Puy-de-Dome | 19 |
| 64 | Pyrenees-Atlantiques | 15 |
| 65 | Hautes-Pyrenees | 7 |
| 66 | Pyrenees-Orientales | 14 |
| 67 | Bas-Rhin | 36 |
| 68 | Haut-Rhin | 21 |
| 69 | Rhone | 62 |
| 70 | Haute-Saone | 15 |
| 71 | Saone-et-Loire | 21 |
| 72 | Sarthe | 19 |
| 73 | Savoie | 15 |
| 74 | Haute-Savoie | 26 |
| 75 | Ville de Paris | 80 |
| 76 | Seine-Maritime | 37 |
| 77 | Seine-et-Marne | 30 |
| 78 | Yvelines | 40 |
| 79 | Deux-Sevres | 15 |
| 80 | Somme | 16 |
| 81 | Tarn | 15 |
| 82 | Tarn-et-Garonne | 7 |
| 83 | Var | 33 |
| 84 | Vaucluse | 17 |
| 85 | Vendee | 25 |
| 86 | Vienne | 14 |
| 87 | Haute-Vienne | 11 |
| 88 | Vosges | 14 |
| 89 | Yonne | 15 |
| 90 | Belfort (Territoire) | 6 |
| 91 | Essone | 32 |
| 92 | Hauts-de-Seine | 41 |
| 93 | Seine-Saint-Denis | 23 |
| 94 | Val-de-Marne | 30 |
| 95 | Val-d Oise | 25 |
| 0 | NAP, other countries | 34619 |
| 99 | NA | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2054 | 34626 |
Valid range from 1 to 95
hr_reg Region: Croatia
| Value 20245 | Frequency | |
|---|---|---|
| 1 | Zagreb | 298 |
| 2 | North Croatia | 212 |
| 3 | Slavonija | 231 |
| 4 | Lika and Banovina | 87 |
| 5 | Istra and Hrvatsko primorje | 145 |
| 6 | Dalmacija | 227 |
| 0 | NAP, other countries | 35480 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 35480 |
Valid range from 1 to 6
il_reg Region: Israel
| Value 20344 | Frequency | |
|---|---|---|
| 1 | North | 253 |
| 2 | South | 165 |
| 3 | Tel-Aviv | 469 |
| 4 | Jerusalem | 152 |
| 5 | Arab sector | 306 |
| 0 | NAP, other countries | 35335 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1345 | 35335 |
Valid range from 1 to 5
jp_reg Region: Japan
| Value 20443 | Frequency | |
|---|---|---|
| 1 | Hokkaido | 42 |
| 2 | Tohoku | 91 |
| 3 | Kanto | 379 |
| 4 | Koshin-etsu | 68 |
| 5 | Tokai, Hokuriku | 191 |
| 6 | Kinki | 186 |
| 7 | Chugoku | 93 |
| 8 | Shikoku | 49 |
| 9 | Kyushu | 154 |
| 0 | NAP, other countries | 35427 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1253 | 35427 |
Valid range from 1 to 9
kr_reg Region: South Korea
| Value 20542 | Frequency | |
|---|---|---|
| 1 | Seoul | 277 |
| 2 | Gyeonggi-do | 291 |
| 3 | Inchon | 83 |
| 4 | Gangwon-do | 48 |
| 5 | Daejeon | 45 |
| 6 | Chungcheong-do | 90 |
| 7 | Gwangju | 52 |
| 8 | Jeolla-do | 119 |
| 9 | Pusan | 105 |
| 10 | Ulsan | 35 |
| 11 | Daegu | 71 |
| 12 | Gyeongsang-do | 204 |
| 13 | Jeju-do | 11 |
| 0 | NAP, other countries | 35249 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1431 | 35249 |
Valid range from 1 to 13
lv_reg Region: Latvia
| Value 20641 | Frequency | |
|---|---|---|
| 1 | Riga | 339 |
| 2 | Pieriga | 174 |
| 3 | Vidzeme | 112 |
| 4 | Kurzeme | 143 |
| 5 | Zemgale | 133 |
| 6 | Latgale | 168 |
| 0 | NAP, other countries | 35611 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1069 | 35611 |
Valid range from 1 to 6
mx_reg Region: Mexico
| Value 20740 | Frequency | |
|---|---|---|
| 1 | Aguascalientes | 46 |
| 2 | Baja California | 29 |
| 3 | Baja California Sur | 0 |
| 4 | Campeche | 0 |
| 5 | Coahuila | 26 |
| 6 | Colima | 0 |
| 7 | Chiapas | 95 |
| 8 | Chihuahua | 57 |
| 9 | Distrito Federal | 159 |
| 10 | Durango | 45 |
| 11 | Guanajuato | 81 |
| 12 | Guerrero | 65 |
| 13 | Hidalgo | 0 |
| 14 | Jalisco | 124 |
| 15 | Mexico | 247 |
| 16 | Michoacan | 64 |
| 17 | Morelos | 0 |
| 18 | Nayarit | 0 |
| 19 | Nuevo Leon | 56 |
| 20 | Oaxaca | 62 |
| 21 | Puebla | 73 |
| 22 | Queretaro | 0 |
| 23 | Quintana Roo | 50 |
| 24 | San Luis Potosi | 35 |
| 25 | Sinaloa | 75 |
| 26 | Sonora | 0 |
| 27 | Tabasco | 0 |
| 28 | Tamaulipas | 53 |
| 29 | Tlaxcala | 57 |
| 30 | Veracruz | 108 |
| 31 | Yucatan | 0 |
| 32 | Zacatecas | 0 |
| 0 | NAP, other countries | 35073 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1607 | 35073 |
Valid range from 1 to 32
no_reg Region: Norway
| Value 20839 | Frequency | |
|---|---|---|
| 1 | Central East | 255 |
| 2 | East | 307 |
| 3 | South | 59 |
| 4 | West | 307 |
| 5 | Middle | 109 |
| 6 | North | 106 |
| 0 | NAP, other countries | 35537 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1143 | 35537 |
Valid range from 1 to 6
nz_reg Region: New Zealand
| Value 20938 | Frequency | |
|---|---|---|
| 1 | Northland | 49 |
| 2 | Auckland | 262 |
| 3 | Thames Valley | 9 |
| 4 | Bay of Plenty | 63 |
| 5 | Waikato | 60 |
| 6 | Tongariro | 2 |
| 7 | East Cape | 8 |
| 8 | Hawkes Bay | 33 |
| 9 | Taranaki | 34 |
| 10 | Wanganui | 14 |
| 11 | Manawatu | 43 |
| 12 | Horowhenua | 9 |
| 13 | Wellington | 99 |
| 14 | Wairarapa | 11 |
| 15 | Nelson Bays | 31 |
| 16 | Marlborough | 14 |
| 17 | West Coast | 8 |
| 18 | Canterbury | 145 |
| 19 | Aorangi | 15 |
| 20 | Clutha-Centr Otago | 22 |
| 21 | Coastal-North Otago | 38 |
| 22 | Southland | 18 |
| 0 | NAP, other countries | 35684 |
| 99 | NA | 9 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 987 | 35693 |
Valid range from 1 to 22
ph_reg Region: Philippines
| Value 21037 | Frequency | |
|---|---|---|
| 1 | Great Manila Area | 300 |
| 2 | Balance Luzon | 300 |
| 3 | Visayas | 300 |
| 4 | Mindanao | 300 |
| 0 | NAP, other countries | 35480 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 35480 |
Valid range from 1 to 4
pl_reg Region: Poland
| Value 21136 | Frequency | |
|---|---|---|
| 1 | Dolnosklaskie | 94 |
| 2 | Kujawsko-Pomorskie | 72 |
| 3 | Lubelskie | 64 |
| 4 | Lubuskie | 34 |
| 5 | Lodzkie | 97 |
| 6 | Malopolska (S-E) | 108 |
| 7 | Mazowieckie | 223 |
| 8 | Opolskie | 39 |
| 9 | Podkarpackie | 69 |
| 10 | Podlaskie | 42 |
| 11 | Pomorskie | 66 |
| 12 | Slaskie | 147 |
| 13 | Swietokrzyskie | 43 |
| 14 | Warminsko-Mazurskie | 44 |
| 15 | Wielkopolskie | 103 |
| 16 | Zachodniopomorskie | 48 |
| 0 | NAP, other countries | 35387 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1293 | 35387 |
Valid range from 1 to 16
ru_reg Region: Russia
| Value 21235 | Frequency | |
|---|---|---|
| 1 | North | 63 |
| 2 | North-West | 131 |
| 3 | Central | 425 |
| 4 | Volga-Vyatka | 91 |
| 5 | Black Earth | 116 |
| 6 | Volga Region | 268 |
| 7 | North Caucasus | 221 |
| 8 | Urals | 270 |
| 9 | West Siberia | 237 |
| 10 | East Siberia | 92 |
| 11 | Far East | 91 |
| 0 | NAP, other countries | 34675 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2005 | 34675 |
Valid range from 1 to 11
se_reg Region: Sweden
| Value 21334 | Frequency | |
|---|---|---|
| 1 | North | 159 |
| 2 | Mid North | 140 |
| 3 | Mid East | 195 |
| 4 | Stockholm | 230 |
| 5 | West | 156 |
| 6 | Goeteborg | 129 |
| 7 | Smaaland Gotland | 110 |
| 8 | South | 111 |
| 9 | Malmoe | 79 |
| 0 | NAP, other countries | 35371 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1309 | 35371 |
Valid range from 1 to 9
si_reg Region: Slovenia
| Value 21433 | Frequency | |
|---|---|---|
| 1 | Pomurska | 81 |
| 2 | Podravska | 157 |
| 3 | Koroska | 41 |
| 4 | Savinjska | 136 |
| 5 | Gorenjska | 90 |
| 6 | Zasavska | 21 |
| 7 | Osrednja | 237 |
| 8 | Spodnjeposavska | 29 |
| 9 | Dolenjska | 67 |
| 10 | Goriska | 64 |
| 11 | Obalnokraska | 46 |
| 12 | Kraska | 32 |
| 0 | NAP, other countries | 35677 |
| 99 | NA | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1001 | 35679 |
Valid range from 1 to 12
tw_reg Region: Taiwan
| Value 21532 | Frequency | |
|---|---|---|
| 1 | Keelung city | 94 |
| 2 | Taipei city | 180 |
| 3 | Taipei county | 386 |
| 4 | Taoyuan county | 242 |
| 5 | Hsinchu city | 2 |
| 6 | Hsinchu county | 41 |
| 7 | Miaoli county | 53 |
| 8 | Taichung city | 85 |
| 9 | Taichung county | 149 |
| 10 | Nantou county | 0 |
| 11 | Changhua county | 59 |
| 12 | Yunlin county | 0 |
| 13 | Chiayi city | 52 |
| 14 | chiayi county | 65 |
| 15 | Tainan city | 5 |
| 16 | Tainan county | 212 |
| 17 | Kaohsiung city | 166 |
| 18 | Kaohsiung county | 106 |
| 19 | Pingtung county | 110 |
| 20 | Ilan county | 104 |
| 21 | Hualien county | 36 |
| 0 | NAP, other countries | 34533 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2147 | 34533 |
Valid range from 1 to 21
uy_reg Region: Uruguay
| Value 21631 | Frequency | |
|---|---|---|
| 1 | Metropolitan statistical area of Montevideo | 910 |
| 2 | Rest of urban population | 527 |
| 0 | NAP, other countries | 35243 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1437 | 35243 |
Valid range from 1 to 2
za_reg Region: South Africa
| Value 21730 | Frequency | |
|---|---|---|
| 1 | Western Cape | 247 |
| 2 | Eastern Cape | 446 |
| 3 | Northern Cape | 226 |
| 4 | Free State | 273 |
| 5 | Kwa-Zulu Natal | 626 |
| 6 | North West | 157 |
| 7 | Gauteng | 414 |
| 8 | Mpumalanga | 231 |
| 9 | Limpopo | 287 |
| 0 | NAP, other countries | 33773 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2907 | 33773 |
Valid range from 1 to 9
au_size Size of community: Australia
| Value 21829 | Frequency | |
|---|---|---|
| 1 | Inner metropolitan (over 100.000 inhabitants) | 783 |
| 2 | Outer metropolitan (over 100.000 inhabitants) | 914 |
| 3 | A large town (over 25.000 inhabitants) | 325 |
| 4 | A larger country town (over 10.000 inhabitants) | 151 |
| 5 | A small country town (under 10.000 inhabitants) | 241 |
| 6 | A rural area or on a farm | 295 |
| 0 | NAP, other countries | 33911 |
| 99 | NA | 60 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2709 | 33971 |
Valid range from 1 to 6
ch_size Size of community: Switzerland
| Value 21928 | Frequency | |
|---|---|---|
| 1 | 999 inhabitants or less | 109 |
| 2 | 1.000 - 4.999 inhabitants | 361 |
| 3 | 5.000 - 9.999 inhabitants | 157 |
| 4 | 10.000 - 19.999 inhabitants | 200 |
| 5 | 20.000 to 99.999 inhabitants | 106 |
| 6 | 100.000 inhabitants and more | 70 |
| 0 | NAP, other countries | 35677 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1003 | 35677 |
Valid range from 1 to 6
cl_size Size of community: Republic of Chile
| Value 22027 | Frequency | |
|---|---|---|
| 0 | Not available. NAP, other countries | 36680 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 36680 |
cz_size Size of community: Czech Republic
| Value 22126 | Frequency | |
|---|---|---|
| 1 | 1.2 million inhabitants (Prague) | 116 |
| 2 | 100.000 inhabitants and more, city | 149 |
| 3 | 50.000- 99.999 inhabitants | 134 |
| 4 | 10.000- 49.999 inhabitants | 252 |
| 5 | 5.000- 9.999 inhabitants | 120 |
| 6 | 2.000- 4.999 inhabitants | 125 |
| 7 | 1.000- 1.999 inhabitants | 97 |
| 8 | 1.000 inhabitants or less | 227 |
| 0 | NAP, other countries | 35458 |
| 99 | NA | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1220 | 35460 |
Valid range from 1 to 8
do_size Size of community: Dominican Republic
| Value 22225 | Frequency | |
|---|---|---|
| 1 | Capital | 619 |
| 2 | Province 1 (550.000 - 990.000 inhabitants) | 388 |
| 3 | Province 2 (300.000 - 549.000 inhabitants) | 240 |
| 4 | Province 3 (200.000 - 299.000 inhabitants) | 274 |
| 5 | Province 4 (100.000 - 199.000 inhabitants) | 374 |
| 6 | Province 5 (100.000 inhabitants or less) | 269 |
| 0 | NAP, other countries | 34516 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2164 | 34516 |
Valid range from 1 to 6
fi_size Size of community: Finland
| Value 22324 | Frequency | |
|---|---|---|
| 1 | 180.000 and more inhabitants | 318 |
| 2 | 50.000 - 179.999 inhabitants | 239 |
| 3 | 20.000 - 49.999 inhabitants | 290 |
| 4 | 8.000 - 19.999 inhabitants | 242 |
| 5 | 8.000 inhabitants or less | 265 |
| 0 | NAP, other countries | 35326 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1354 | 35326 |
Valid range from 1 to 5
fla_size Size of community: Flanders
| Value 22423 | Frequency | |
|---|---|---|
| 1 | 100 000 inhabitants and more | 155 |
| 2 | 75.001-100.000 inhabitants | 67 |
| 3 | 30.001- 75.000 inhabitants | 318 |
| 4 | 15.001- 30.000 inhabitants | 381 |
| 5 | 15.000 inhabitants or less | 336 |
| 0 | NAP, other countries | 35423 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1257 | 35423 |
Valid range from 1 to 5
fr_size Size of community: France
| Value 22522 | Frequency | |
|---|---|---|
| 1 | Greater Paris | 119 |
| 2 | 500.000 inhabitants and more | 84 |
| 3 | 100.001- 500.000 inhabitants | 150 |
| 4 | 50.001- 100.000 inhabitants | 137 |
| 5 | 20.001- 50.000 inhabitants | 193 |
| 6 | 10.001- 20.000 inhabitants | 186 |
| 7 | 2.001- 10.000 inhabitants | 546 |
| 8 | 2.000 or less | 571 |
| 0 | NAP, other countries | 34619 |
| 99 | NA | 75 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1986 | 34694 |
Valid range from 1 to 8
hr_size Size of community: Croatia
| Value 22621 | Frequency | |
|---|---|---|
| 1 | 100.000 inhabitants and more | 305 |
| 2 | 10.000 ? 100.000 inhabitants | 234 |
| 3 | 2.000 ? 10.000 inhabitants | 192 |
| 4 | 2.000 inhabitants or less | 469 |
| 0 | NAP, other countries | 35480 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 35480 |
Valid range from 1 to 4
il_size Size of community: Israel
| Value 22720 | Frequency | |
|---|---|---|
| 1 | 100 000 inhabitants and more | 565 |
| 2 | 50.001-100.000 inhabitants | 176 |
| 3 | 20.001- 50.000 inhabitants | 242 |
| 4 | 10.001- 20.000 inhabitants | 108 |
| 5 | 5.001- 10.000 inhabitants | 180 |
| 6 | 2.501- 5.000 inhabitants | 41 |
| 7 | 2.500 inhabitants or less | 33 |
| 0 | NAP, other countries | 35335 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1345 | 35335 |
Valid range from 1 to 7
jp_size Size of community: Japan
| Value 22819 | Frequency | |
|---|---|---|
| 1 | 1.000.000 or more | 262 |
| 2 | 300.000-999.999 | 285 |
| 3 | 100.000-299.999 | 305 |
| 4 | Less than 100.000 | 157 |
| 5 | Town or village | 244 |
| 0 | NAP, other countries | 35427 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1253 | 35427 |
Valid range from 1 to 5
kr_size Size of community: South Korea
| Value 22918 | Frequency | |
|---|---|---|
| 1 | 1.000.001 inhabitants and more; metropolitan cty | 655 |
| 2 | 100.001 - 1.000.000 inhabitants; large cty | 596 |
| 3 | 50.001- 100.000 inhabitants; middle cty | 173 |
| 4 | 50.000 inhabitants or less; rural cty | 7 |
| 0 | NAP, other countries | 35249 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1431 | 35249 |
Valid range from 1 to 4
lv_size Size of community: Latvia
| Value 23017 | Frequency | |
|---|---|---|
| 1 | 500.000 inhabitants and more | 339 |
| 2 | 100.001 - 500.000 inhabitants | 50 |
| 3 | 50.001 -100.000 inhabitants | 96 |
| 4 | 20.001 - 50.000 inhabitants | 76 |
| 5 | 10.001 - 20.000 inhabitants | 50 |
| 6 | 5.001 - 10.000 inhabitants | 86 |
| 7 | 2.000 - 5.000 inhabitants | 104 |
| 8 | 2 000 inhabitants or less | 268 |
| 0 | NAP, other countries | 35611 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1069 | 35611 |
Valid range from 1 to 8
mx_size Size of community: Mexico
| Value 23116 | Frequency | |
|---|---|---|
| 1 | 500.000 inhabitants and more | 679 |
| 2 | 100.000 - 499.000 inhabitants | 169 |
| 3 | 50.000 - 99.999 inhabitants | 116 |
| 4 | 15.000 - 49.999 inhabitants | 133 |
| 5 | 10.000 - 14.999 inhabitants | 53 |
| 6 | 5.000 - 9.999 inhabitants | 43 |
| 7 | 2.500 - 4.999 inhabitants | 22 |
| 8 | 2.499 inhabitants or less | 392 |
| 0 | NAP, other countries | 35073 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1607 | 35073 |
Valid range from 1 to 8
no_size Size of community: Norway
| Value 23215 | Frequency | |
|---|---|---|
| 1 | 100.000 inhabitants and more, urban | 295 |
| 2 | 30.000 - 99.999 inhabitants | 230 |
| 3 | 3.000 - 29.999 inhabitants | 548 |
| 4 | 3.000 inhabitants or less, rural | 70 |
| 0 | NAP, other countries | 35537 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1143 | 35537 |
Valid range from 1 to 4
nz_size Size of community: New Zealand
| Value 23314 | Frequency | |
|---|---|---|
| 1 | Large city 100.000 inhabitants and more | 369 |
| 2 | Medium city 50.000-99.999 inhabitants | 126 |
| 3 | Small city 30.000-49.999 inhabitants | 85 |
| 4 | Large town 10.000-29.999 inhabitants | 106 |
| 5 | Small town 1.000-9.999 inhabitants | 129 |
| 6 | Village 1.000 inhabitants or less | 43 |
| 7 | Farm, rural property | 87 |
| 0 | NAP, other countries | 35684 |
| 99 | NA | 51 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 945 | 35735 |
Valid range from 1 to 7
ph_size Size of community: Philippines
| Value 23413 | Frequency | |
|---|---|---|
| 203 | 5 | |
| 321 | 5 | |
| 328 | 5 | |
| 372 | 5 | |
| 428 | 5 | |
| 438 | 5 | |
| 465 | 5 | |
| 466 | 5 | |
| 501 | 5 | |
| 522 | 5 | |
| 583 | 5 | |
| 584 | 5 | |
| 595 | 5 | |
| 607 | 5 | |
| 638 | 5 | |
| 646 | 5 | |
| 670 | 5 | |
| 690 | 5 | |
| 749 | 5 | |
| 762 | 5 | |
| 777 | 5 | |
| 837 | 5 | |
| 887 | 5 | |
| 914 | 5 | |
| 967 | 5 | |
| 980 | 5 | |
| 990 | 5 | |
| 995 | 5 | |
| 1006 | 5 | |
| 1028 | 5 | |
| 1062 | 5 | |
| 1066 | 5 | |
| 1078 | 5 | |
| 1152 | 5 | |
| 1164 | 5 | |
| 1195 | 5 | |
| 1202 | 5 | |
| 1217 | 5 | |
| 1247 | 5 | |
| 1289 | 5 | |
| 1308 | 5 | |
| 1374 | 5 | |
| 1378 | 5 | |
| 1407 | 5 | |
| 1421 | 5 | |
| 1490 | 5 | |
| 1493 | 5 | |
| 1497 | 5 | |
| 1583 | 5 | |
| 1592 | 5 | |
| 1608 | 5 | |
| 1609 | 5 | |
| 1610 | 5 | |
| 1669 | 5 | |
| 1675 | 5 | |
| 1688 | 5 | |
| 1702 | 5 | |
| 1710 | 5 | |
| 1717 | 5 | |
| 1735 | 5 | |
| 1763 | 5 | |
| 1764 | 5 | |
| 1773 | 5 | |
| 1836 | 5 | |
| 1853 | 5 | |
| 1875 | 5 | |
| 1880 | 5 | |
| 1988 | 5 | |
| 2007 | 5 | |
| 2012 | 5 | |
| 2053 | 5 | |
| 2083 | 5 | |
| 2105 | 5 | |
| 2238 | 5 | |
| 2337 | 5 | |
| 2344 | 5 | |
| 2363 | 5 | |
| 2426 | 5 | |
| 2502 | 5 | |
| 2515 | 5 | |
| 2542 | 5 | |
| 2582 | 5 | |
| 2592 | 5 | |
| 2603 | 5 | |
| 2607 | 5 | |
| 2608 | 5 | |
| 2656 | 5 | |
| 2827 | 5 | |
| 2842 | 5 | |
| 2849 | 5 | |
| 2896 | 5 | |
| 2973 | 5 | |
| 2979 | 5 | |
| 3036 | 5 | |
| 3121 | 5 | |
| 3135 | 5 | |
| 3174 | 5 | |
| 3493 | 5 | |
| 3666 | 5 | |
| 3743 | 5 | |
| 3804 | 5 | |
| 3844 | 5 | |
| 3869 | 5 | |
| 4053 | 5 | |
| 4055 | 5 | |
| 4162 | 5 | |
| 4182 | 5 | |
| 4195 | 5 | |
| 4207 | 5 | |
| 4494 | 5 | |
| 4553 | 5 | |
| 4620 | 10 | |
| 4729 | 5 | |
| 4730 | 5 | |
| 4754 | 5 | |
| 4777 | 5 | |
| 4781 | 5 | |
| 4782 | 5 | |
| 4807 | 5 | |
| 4935 | 5 | |
| 5182 | 5 | |
| 5240 | 5 | |
| 5356 | 5 | |
| 5371 | 5 | |
| 5424 | 5 | |
| 5476 | 5 | |
| 5502 | 5 | |
| 5555 | 5 | |
| 5583 | 5 | |
| 5728 | 5 | |
| 5737 | 5 | |
| 5796 | 5 | |
| 6006 | 5 | |
| 6013 | 5 | |
| 6062 | 5 | |
| 6115 | 5 | |
| 6253 | 5 | |
| 6466 | 5 | |
| 6491 | 5 | |
| 6656 | 5 | |
| 6745 | 5 | |
| 6900 | 5 | |
| 7043 | 5 | |
| 7121 | 5 | |
| 7123 | 5 | |
| 7180 | 5 | |
| 7589 | 5 | |
| 7680 | 5 | |
| 8240 | 5 | |
| 8253 | 5 | |
| 8329 | 5 | |
| 8376 | 5 | |
| 8453 | 5 | |
| 8604 | 5 | |
| 8625 | 5 | |
| 8735 | 5 | |
| 8786 | 5 | |
| 8851 | 5 | |
| 8954 | 5 | |
| 9121 | 5 | |
| 9287 | 5 | |
| 9302 | 5 | |
| 9387 | 5 | |
| 9411 | 5 | |
| 9461 | 5 | |
| 9518 | 5 | |
| 9611 | 5 | |
| 9784 | 5 | |
| 9905 | 5 | |
| 9907 | 5 | |
| 10153 | 5 | |
| 10691 | 5 | |
| 11160 | 5 | |
| 11323 | 5 | |
| 11469 | 5 | |
| 12666 | 5 | |
| 12670 | 5 | |
| 12938 | 5 | |
| 13197 | 5 | |
| 14174 | 5 | |
| 14787 | 5 | |
| 15667 | 5 | |
| 16117 | 5 | |
| 16148 | 5 | |
| 16159 | 5 | |
| 16201 | 5 | |
| 16398 | 5 | |
| 17032 | 5 | |
| 17666 | 5 | |
| 18178 | 5 | |
| 18180 | 5 | |
| 18206 | 5 | |
| 18998 | 5 | |
| 19064 | 5 | |
| 19141 | 5 | |
| 19366 | 5 | |
| 19725 | 5 | |
| 19874 | 5 | |
| 20009 | 5 | |
| 20706 | 5 | |
| 21301 | 5 | |
| 21810 | 5 | |
| 22416 | 5 | |
| 23225 | 5 | |
| 23301 | 5 | |
| 23565 | 5 | |
| 24646 | 5 | |
| 25361 | 5 | |
| 26272 | 5 | |
| 27336 | 5 | |
| 27448 | 5 | |
| 27459 | 5 | |
| 28848 | 5 | |
| 28889 | 5 | |
| 29518 | 5 | |
| 30093 | 5 | |
| 31355 | 5 | |
| 31754 | 5 | |
| 32495 | 5 | |
| 33164 | 5 | |
| 34318 | 5 | |
| 36931 | 5 | |
| 36943 | 5 | |
| 37103 | 5 | |
| 38735 | 5 | |
| 39330 | 5 | |
| 43232 | 5 | |
| 43565 | 5 | |
| 46493 | 5 | |
| 49541 | 5 | |
| 50843 | 5 | |
| 52009 | 5 | |
| 53921 | 5 | |
| 60490 | 5 | |
| 64148 | 5 | |
| 70573 | 5 | |
| 71523 | 5 | |
| 89432 | 5 | |
| 120520 | 5 | |
| 0 | NAP, other countries | 35480 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 35480 |
Valid range from 203 to 120520
pl_size Size of community: Poland
| Value 23512 | Frequency | |
|---|---|---|
| 1 | 500.000 inhabitants and more | 177 |
| 2 | 250.000-500.000 inhabitants | 73 |
| 3 | 100.000-249.999 inhabitants | 143 |
| 4 | 50.000- 99.999 inhabitants | 118 |
| 5 | 25.000- 49.999 inhabitants | 85 |
| 6 | 10.000- 24.999 inhabitants | 85 |
| 7 | 10.000 inhabitants or less | 160 |
| 8 | Village | 452 |
| 0 | NAP, other countries | 35387 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1293 | 35387 |
Valid range from 1 to 8
ru_size Size of community: Russia
| Value 23611 | Frequency | |
|---|---|---|
| 1 | More than 1.000.000 inhabitants | 391 |
| 2 | 500.001 - 1.000.000 inhabitants | 177 |
| 3 | 250.001 - 500.000 inhabitants | 196 |
| 4 | 100.001 - 250.000 inhabitants | 199 |
| 5 | 50.001 - 100.000 inhabitants | 83 |
| 6 | 20.001 - 50.000 inhabitants | 331 |
| 7 | Urban, < 20.000 inhabitants | 115 |
| 8 | Rural | 513 |
| 0 | NAP, other countries | 34675 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2005 | 34675 |
Valid range from 1 to 8
se_size Size of community: Sweden
| Value 23710 | Frequency | |
|---|---|---|
| 1 | 300.000 inhabitants and more | 438 |
| 2 | 90.000 - 300.000 inhabitants | 458 |
| 3 | 27.000 - 90.000 inhabitants | 318 |
| 4 | Less than 27.000 inhabitants | 95 |
| 0 | NAP, other countries | 35371 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1309 | 35371 |
Valid range from 1 to 4
si_size Size of community: Slovenia
| Value 2389 | Frequency | |
|---|---|---|
| 1 | 50.000 inhabitants and more (Lublj,Mar) | 134 |
| 2 | 10.000 - 50.000 inhabitants | 88 |
| 3 | 4.000 -10.000 inhabitants | 98 |
| 4 | 2.000 - 4.000 inhabitants | 83 |
| 5 | 500 - 2.000 inhabitants | 279 |
| 6 | Less than 500 inhabitants, single house | 310 |
| 0 | NAP, other countries | 35677 |
| 99 | NA | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 992 | 35688 |
Valid range from 1 to 6
tw_size Size of community: Taiwan
| Value 2398 | Frequency | |
|---|---|---|
| 2 | 5.001-10.000 inhabitants | 1 |
| 3 | 10.001-20.000 inhabitants | 59 |
| 4 | 20.001-50.000 inhabitants | 366 |
| 5 | 50.001-100.000 inhabitants | 299 |
| 6 | 100.001-250.000 inhabitants | 463 |
| 7 | 250.001 - 1.000.000 inhabitants | 528 |
| 8 | 1.000.000 inhabitants and more | 431 |
| 0 | NAP, other countries | 34533 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2147 | 34533 |
Valid range from 2 to 8
uy_size Size of community: Uruguay
| Value 2407 | Frequency | |
|---|---|---|
| 1 | 1.592.302 urban population | 910 |
| 2 | 1.354.450 urban population | 527 |
| 0 | NAP, other countries | 35243 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1437 | 35243 |
Valid range from 1 to 2
za_size Size of community: South Africa
| Value 2416 | Frequency | |
|---|---|---|
| 1 | Farm | 283 |
| 2 | Hostel | 7 |
| 3 | Informal Settlement | 342 |
| 4 | Small Holding | 18 |
| 5 | Tribal Settlement | 602 |
| 6 | Urban Settlement | 1627 |
| 0 | NAP, other countries | 33773 |
| 98 | DK | 28 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2879 | 33801 |
Valid range from 1 to 6
urbrural Type of community: R.s self-assesment
| Value 2425 | Frequency | |
|---|---|---|
| 1 | Urban,a big city | 12450 |
| 2 | Suburb,outskirt of a big city | 5212 |
| 3 | Town or small city | 9000 |
| 4 | Country village | 7805 |
| 5 | Farm or home in the country | 1975 |
| 0 | Not available | 4 |
| 9 | NA | 234 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36442 | 238 |
Valid range from 1 to 5
ethnic Family origin, ethnic group, identity
| Value 2434 | Frequency | |
|---|---|---|
| 1 | Africa,Somalia,Sudan,Mandinka,Yoruba, ZA: South Africa | 2907 |
| 2 | Aklanon,Romblon | 0 |
| 3 | Albanian | 1 |
| 4 | American,American only,America | 0 |
| 5 | American Indian,Navajo,Ind.Dialect | 0 |
| 6 | Arab,Muslim (Morocco,Algeria,Lybia) | 0 |
| 7 | Esperanto,Latin,Slavonik,Celtic | 0 |
| 8 | Asia,other Asian, BR: Yellow | 12 |
| 9 | Australia,Oceania | 0 |
| 10 | Austria,Austrian | 0 |
| 11 | Baltic,Latvian,Estonian,Lith. | 704 |
| 12 | Bangladesh,Bangladeshi,Bengali | 0 |
| 13 | Basque, Vasco | 0 |
| 14 | Belgium, Belgian | 1176 |
| 15 | Belorussia, Bialorussia | 34 |
| 16 | Bicolano/Bikol | 81 |
| 17 | Black/African/Carribean,No-Spanish, BR: Black | 10 |
| 18 | Bosnian (SI:ethn.Muslim) | 11 |
| 19 | Bulgaria | 0 |
| 20 | Cajun/French Cajun | 0 |
| 21 | Canada,other Canada | 0 |
| 22 | Catalan-Valencian-Balear/Mallorquin | 0 |
| 23 | China,Cantonese,Hakka,Mandarin | 19 |
| 24 | Thai,Khmer,Vietnam,South-East Asia | 0 |
| 25 | Cook Island Maori | 0 |
| 26 | Creole,Surinam,Metis,Chavacano | 0 |
| 27 | Croatia | 22 |
| 28 | Czech Republic,Czechia,Czech | 0 |
| 29 | Czechoslovakia,Moravia,Czech-Slovak | 0 |
| 30 | Denmark,Danish | 0 |
| 31 | England,England&Wales,UK,English | 0 |
| 32 | Europe,White/European | 817 |
| 33 | Fijian | 0 |
| 34 | Finland,Finnish | 1331 |
| 35 | France,French | 0 |
| 36 | French Canada,French Canadian | 0 |
| 37 | Frisian | 0 |
| 38 | Germany,German (HU:German/Swab) | 0 |
| 39 | Greece,Greek | 0 |
| 40 | Hebrew/Ivrit,Israel(arab pop.incl) | 1 |
| 41 | Hungary,Hungarian | 4 |
| 42 | Ibanag | 0 |
| 43 | Ilocano | 91 |
| 44 | Ilonggo/Hiligaynon,Bantayanon | 149 |
| 45 | India,Hindi,Urdu,Gujarati,Tamil | 8 |
| 46 | Indonesian,Malay/Malaysian | 0 |
| 47 | Iranian,Persian/Farsi,Dari | 0 |
| 48 | Ireland,Irish/Irish Gaelic | 0 |
| 49 | Italy,Italian | 0 |
| 50 | Japan,Japanese | 1253 |
| 51 | Kapampangan/Pampangan | 0 |
| 52 | Kinaray-a | 0 |
| 53 | Korean | 0 |
| 54 | Maori+New Zealand | 90 |
| 55 | Maranaw/Maranao | 44 |
| 56 | Masbateno | 0 |
| 57 | Kurd,Assyria,Middle East,Lebanon | 0 |
| 58 | Netherlands,Dutch,Flemish | 0 |
| 59 | Nordic,Scandinavian other | 0 |
| 60 | North America | 0 |
| 61 | Norway, Norwegian | 0 |
| 62 | PACIFIC,Polynesian,Chamorro/Guam | 25 |
| 63 | Pakistan,Panjab/Punjabi,Pashto | 0 |
| 64 | Panggalatok/Pangasinan | 0 |
| 65 | Philippine other | 187 |
| 66 | Philippines,Tagalog,Filippino | 295 |
| 67 | Pidgin, PNG Pidgin | 0 |
| 68 | Poland,Polish,Pole | 10 |
| 69 | Portugal,Portuguese,ES:Galician | 0 |
| 70 | Romani, Gipsy | 4 |
| 71 | Romanian/Rumanian,RU:Moldavian | 1 |
| 72 | Russia,(former) USSR & Rep. | 299 |
| 73 | Samal | 0 |
| 74 | Samic,Lapp | 0 |
| 75 | Samoan, Tokelauan | 0 |
| 76 | Scotland,Scots Gaelic, Scottish | 0 |
| 77 | Serbia,Serbian,Serb | 25 |
| 78 | Slovakia, Slovak | 0 |
| 79 | Slovenia,Slovenian,Slovene | 925 |
| 80 | South+Latin America,NL:Neth.Antilles | 2154 |
| 81 | Spanish, Castilian,Castellano | 1 |
| 82 | Swedish,Swede | 1115 |
| 83 | Switzerland | 0 |
| 84 | Tatar | 2 |
| 85 | Tausug | 4 |
| 86 | Tongan,Niuean | 0 |
| 87 | Transcaucasian (BG:Armenian) | 0 |
| 88 | Turkey,Turkish (SE:Bulgarian-turk) | 0 |
| 89 | Ukraine,Ukrainian (SK:Ruthenian) | 15 |
| 90 | USA | 0 |
| 91 | Visayan/Cebuano,Boholano,Leyteno | 344 |
| 92 | Waray | 0 |
| 93 | Welsh | 0 |
| 94 | Yiddish/Jewish | 0 |
| 95 | Yugoslavia,Serbo-Croatian | 4 |
| 96 | Taiwan, Hakka, Holo, Fukienese, Aboriginal | 2127 |
| 97 | CA: Metis, Inuit, Eskimo | 0 |
| 0 | NAP; not available | 20022 |
| 98 | Other,mixed origin | 294 |
| 99 | NA, dont know | 62 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 16302 | 20378 |
Valid range from 1 to 97
mode Administrative mode of data-collection
| Value 2443 | Frequency | |
|---|---|---|
| 10 | F2f,pap a pencil,no visuals | 5419 |
| 11 | F2f,pap a pencil,visuals | 9827 |
| 12 | F2f,pap a pencil,R readg questionnaire | 0 |
| 13 | F2f,pap a pencil,interpreter,no visuals | 13 |
| 14 | F2f,pap a pencil,interpreter,visuals | 4107 |
| 20 | F2f,comp-assisted,no visuals | 0 |
| 21 | F2f,comp-assisted,visuals | 3167 |
| 22 | F2f,comp-assisted,R readg questionnaire | 0 |
| 23 | F2f,comp-assisted,interpreter,no visuals | 0 |
| 24 | F2f,comp-assisted,interpreter,visuals | 0 |
| 30 | Self-compl,pap a pencil,interviewer attendg | 0 |
| 31 | Self-compl,pap a pencil,drops-off,picks up later | 1253 |
| 32 | Self-compl,pap a pencil,drops-off,mailed back by R | 1257 |
| 33 | Self-compl,pap a pencil,mailed to,hold for pick up | 0 |
| 34 | Self-compl,pap a pencil,mailed back by R | 9632 |
| 40 | Self-completion, computer assisted | 0 |
| 52 | Telephone interview | 0 |
| 0 | Not available | 2005 |
| 99 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 34675 | 2005 |
Valid range from 10 to 52
subscase Case substitution flag
| Value 2452 | Frequency | |
|---|---|---|
| 1 | case from original sample | 5369 |
| 2 | case substituted | 920 |
| 0 | NAP, no substitution in this survey | 30391 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 6289 | 30391 |
Valid range from 1 to 2
weight Weighting factor
| Value 2461 | Frequency | |
|---|---|---|
| 1 | No weighting |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36680 | 0 |
Valid range from 0.0156270878409604 to 90.319862235738
TERMS OF USE:
The Slovenian Social Science Data Archives does not distribute data of this study. For more information please contact the author or the responsible organization.
DOCUMENTATION STATUS
3 - Polni opis raziskave in kodirna knjiga z imeni spremenljivk iz podatkovne datoteke.
CLASS OF THE STUDY
9 - najvišji rang, primerjalne ali kontinuirane raziskave, pomembne populacije, metodološko ustrezne
How to CITE this study?
ISSP raziskovalna skupina. (2009). Mednarodna splošna družboslovna anketa (ISSP), 2007: Prosti čas in šport I [Data file]. Ljubljana: University of Ljubljana, Slovenian Social Science Data Archives. ADP - IDNo: ISSP07. Accessible at http://www.adp.fdv.uni-lj.si/opisi/issp07/
SIMILAR STUDIES
ISSP - Mednarodna splošna družboslovna anketa: Opis serije
ISSP00 - Mednarodna splošna družboslovna anketa (ISSP): Ekologija II
ISSP01 - Mednarodna splošna družboslovna anketa (ISSP): Družbeni stiki II
ISSP - Mednarodna splošna družboslovna anketa: Opis serije
ISSP00 - Mednarodna splošna družboslovna anketa (ISSP): Ekologija II
ISSP01 - Mednarodna splošna družboslovna anketa (ISSP): Družbeni stiki II
ISSP02 - Mednarodna splošna družboslovna anketa (ISSP), 2002: Družina III
ISSP03 - Mednarodna splošna družboslovna anketa (ISSP), 2003: Nacionalna identiteta II
ISSP04 - Mednarodna splošna družboslovna anketa (ISSP), 2004: Razumevanje vloge državljana
ISSP05 - Mednarodna splošna družboslovna anketa (ISSP), 2005: Stališča o delu III
ISSP06 - Mednarodna splošna družboslovna anketa (ISSP), 2006: Vloga države IV
ISSP08 - Mednarodna splošna družboslovna anketa (ISSP), 2008: Religija III
ISSP09 - Mednarodna splošna družboslovna anketa (ISSP), 2009: Družbena neenakost IV
ISSP10 - Mednarodna splošna družboslovna anketa (ISSP), 2010: Okolje III
ISSP11 - Mednarodna splošna družboslovna anketa (ISSP), 2011: Zdravje
ISSP13 - Mednarodna splošna družboslovna anketa (ISSP), 2013: Nacionalna identiteta III
ISSP14 - Mednarodna splošna družboslovna anketa (ISSP), 2014: Razumevanje vloge državljana II
ISSP15 - Mednarodna splošna družboslovna anketa (ISSP), 2015: Stališča o delu IV
ISSP16 - Mednarodna splošna družboslovna anketa (ISSP), 2016: Vloga države V
ISSP85 - Mednarodna splošna družboslovna anketa (ISSP): Vloga države I
ISSP86 - Mednarodna splošna družboslovna anketa (ISSP): Družbeni stiki
ISSP87 - Mednarodna splošna družboslovna anketa (ISSP): Neenakost I
ISSP88 - Mednarodna splošna družboslovna anketa (ISSP): Družina I
ISSP89 - Mednarodna splošna družboslovna anketa (ISSP): Stališča o delu I
ISSP90 - Mednarodna splošna družboslovna anketa (ISSP): Vloga države II
ISSP91 - Mednarodna splošna družboslovna anketa (ISSP): Mednarodna raziskava o vernosti in cerkvi I
ISSP92 - Mednarodna splošna družboslovna anketa (ISSP): Neenakost II
ISSP93 - Mednarodna splošna družboslovna anketa (ISSP): Ekologija
ISSP94 - Mednarodna splošna družboslovna anketa (ISSP): Družina II
ISSP95 - Mednarodna splošna družboslovna anketa (ISSP): Mednarodna raziskava narodne identitete
ISSP96 - Mednarodna splošna družboslovna anketa (ISSP): Vloga države III
ISSP97 - Mednarodna splošna družboslovna anketa (ISSP): Stališča o delu II
ISSP98 - Mednarodna splošna družboslovna anketa (ISSP): Raziskava o vernosti in cerkvi II
ISSP99 - Mednarodna splošna družboslovna anketa (ISSP): Neenakost III
SJM002 - Slovensko javno mnenje 2000/2: Raziskava o okolju in raziskava o medčloveških stikih (ISSP)
SJM034 - Slovensko javno mnenje 2003/4: Razumevanje vloge državljana / Mednarodna raziskava ISSP
SJM051 - Slovensko javno mnenje 2005/1: Mednarodna raziskava Stališča o delu
SJM932 - Slovensko javno mnenje 1993/2: Mednarodna raziskava o okolju in družini
SJM944 - Slovensko javno mnenje 1994/4: Mednarodna raziskava narodne identitete
SJM973 - Slovensko javno mnenje 1997/3: Mednarodna raziskava Stališča o delu in ekološka sondaža
SJM981 - Slovensko javno mnenje 1998/1: Mednarodna raziskava o neenakosti in religiji
SJMUST89 - Slovensko javno mnenje, 1989: Stališča o ustavnih dopolnilih
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