codebook wageindicator web survey on work and wages. amsterdam

WageIndicator Data Report December 2012 1 | P a g e

Codebook WageIndicator web survey on work and wages

December 2014

WageIndicator Data Report

Kea Tijdens

University of Amsterdam, AIAS, Netherlands

Brian Fabo

Central European Labour Studies Institute (CELSI), Slovakia


About WageIndicator Foundation - www.wageindicator.org The WageIndicator concept is owned by the independent, non-profit WageIndicator Foundation, established in 2003. Its Supervisory Board is chaired by the University of Amsterdam/Amsterdam Institute of Advanced labor Studies, the Dutch Confederation of Trade Unions (FNV) and Monster career site. The Foundation aims for

transparency of the labor market by sharing and comparing wage data and labor conditions information. The Foundation operates national websites in some 75 countries. The websites have a so called 3 pillar structure: for wages, for labor law and minimum wages, and for vacancies and education related information. In more than 20 countries the national WageIndicator websites are supported with offline actions like face-to-face surveys, fact finding debates and media campaigns. The Foundation operates globally through a network of associated, yet independent regional and national partner organizations like universities, media houses, trade unions and employers organizations, and self-employed specialists for legal, internet, media issues, with whom the Foundation engages in long lasting relationships. WageIndicator Foundation has offices in Amsterdam (HQ), Ahmedabad, Bratislava, Buenos Aires, Cape Town, Maputo and Minsk. Address: WageIndicator Foundation, Plantage Muidergracht 12, 1018TV Amsterdam, The Netherlands, [email protected]

About University of Amsterdam/Amsterdam Institute for Labor Studies - www.uva-aias.net The University of Amsterdam is a 350-years old research university. Its Amsterdam Institute for Advanced Labor Studies (AIAS) is an interdisciplinary research institute focusing on labor issues, particularly industrial relations, organization of work, working conditions, wage setting, labor- market inequalities, employment and labor market governance. AIAS maintains a large portfolio of internationally funded research projects and international data bases and data collections. Since 2003, AIAS chairs the Supervisory Board of the Wage Indicator Foundation. Kea Tijdens is a Research Coordinator at AIAS and a professor of sociology at Erasmus University Rotterdam. She is the scientific coordinator of the WageIndicator web-survey on work and wages. She has analyzed the data concerning the wage ranking of health care occupations in 20 countries, the impact of short-time arrangements in Germany and the Netherlands, and the relationship of collective bargaining coverage and wage brackets.

About Central European Labour Studies Institute (CELSI) - www.celsi.sk CELSI is an independent non-profit research institute based in Bratislava, Slovakia. It fosters multidisciplinary research about the functioning of labour markets and institutions, work and organisations, business and society, and ethnicity and migration in the economic, social, and political life of modern societies. Supported by its network of Research Fellows and Affiliates and a new Discussion Paper series, CELSI aims to make a contribution to cutting-edge international scientific discourse. Hosting the Bratislava WageIndicator Office, CELSI has developed expertise in data management and services. Brian Fabo is data and survey manager of the WageIndicator web survey. Central European Labour Studies Institute (CELSI), Zvolensk 29, 821 09 Bratislava, Slovakia [email protected]

Table of content

1 Introduction 1

2 The variables 1

3 The variable values 11

4 Missing values 453

http://www.wageindicator.org/mailto:[email protected]://www.uva-aias.net/http://www.celsi.sk/mailto:[email protected]


1 Introduction

This document contains the variable and value information of the dataset of the WageIndicator1 web survey on work and wages, annual release 2013, for the version delivered to the IZA data archive2. The IZA dataset comprises of a reduced list of all variables in the web survey, and it contains for the continuous survey questions only. This document does not contain the variable and value labels of the project survey questions. More information about the web survey can be found in the 2010 codebook3.

2 The variables

Variable Label Measurement Level

Write Format

CASENUM Case Identification Number Scale F16 qId Questionnaire identification Nominal A40 locale Language and country Nominal A5 key Server generated key, not to be used for case identification Nominal A100 storagetype Status: Survey completed Nominal A7 created Survey start time - not local time YYYYMMDDHHMMSS Scale F16 stored Survey end time - not local time YYYYMMDDHHMMSS Scale F16 time_null Reminder in case < created Scale F16 SURVEYY Year of survey Scale F4 SURVEMM Month of survey Scale F2 SURVEWW Week of survey Scale F2 SURVEDW Week day of the survey Scale F2 SURVEDM Day of the month Scale F2 SURVEDY Year day of the survey Scale F4 SURVEQY Quarter of the survey Scale F8 SERVERTIME Servertime Scale F4.2 SURVEHH Hour and minute of start survey (local GMT Standard Time) HH.MMSS Scale F6.4 SURVTIME Time needed to complete survey HH.MMSS Scale F4.2 SURVENR Questionnaire version identification Scale F6.2 SURVINTV Paper survey: Initials interviewer Scale F12 SURVLOCA Paper survey: Locality where interview was held Scale F2 SURVENTR Paper survey: Initials data entry typist Scale F12 SUBMIT Status: Survey completed at least satlife -> 200600 Scale F2 TOTALSUBMIT Status: Survey completed - part 1 and part 2 -> 200600 Scale F2 COUNTRY Country of survey Scale F16 COUNTRYW Country of work Scale F8.2 CATEGORY Questionnaire category Nominal A50 WAGEFACT Gross/net ratio Scale F24.4 CONTSTRO Current employment status - used for routing Scale F3 CONTST Current employment status Scale F8 nrofjob1 Has a paid job - students Scale F2 contstno Currently no job, but has ever had a paid job - < 200701 Scale F2 contstla Employment contract last job - if no job - < 200701 Scale F2 monojob Month stopped working in last job - if unemployed - < 200701 Scale F4 yynojob Year stopped working in last job - if unemployed Scale F4 nrofjobs Has second or third job - < 200701 Scale F2 controth Workplace in other company than one paying salary Scale F2 REGIHOM1 Region home address - aggregate geo info Scale F16 ISCO0804 ISCO 2008 digit-4 Scale F6 ISCO0803 ISCO 2008 digit-3 Scale F6 ISCO0802 ISCO 2008 digit-2 Scale F6 ISCO0801 ISCO 2008 digit-1 Scale F6 ISCO08lv ISCO 2008 skill levels 1 - 4 Scale F6 OCCUPA_D ISCO 1988 further digits > 4 Scale F16 occtype Position in occupational hierarchy Scale F2 occtype2 Job level current job Scale F2 occlevel What educational level is required in your job? Scale F2 depmale Co-workers in similar positions are mostly men Scale F2 SUPV Number of persons supervised Scale F8

1 www.wageindicator.org 2 idsc.iza.org/?page=27&id=59 3 www.wageindicator.org/main/Wageindicatorfoundation/publications/2010/codebook-and-explanatory-notes-on-the-

wageindicator-dataset

http://www.wageindicator.org/http://idsc.iza.org/?page=27&id=59http://www.wageindicator.org/main/Wageindicatorfoundation/publications/2010/codebook-and-explanatory-notes-on-the-wageindicator-datasethttp://www.wageindicator.org/main/Wageindicatorfoundation/publications/2010/codebook-and-explanatory-notes-on-the-wageindicator-dataset


SUPVWOM Number of women supervised - if supervisees Scale F8 SUPVDICH Has supervisory position Scale F4 tenure_DEU Work experience in current occupation Scale F3 NACE2000 NACE-rev20 industries four groups Scale F16 NACE2001 NACE-rev20 industries 1 digit Scale F16 NACE2002 NACE-rev20 industries 2 digit Scale F16 NACE2004 NACE-rev20 industries 3-4 digit Scale F16 firmsize Firm size workplace Scale F2 firmfema Percentage women in workplace Scale F2 ILC013a Age distribution workplace: Under age 25 Scale F2 ILC013b Age distribution workplace: Between 25 and 50 Scale F2 ILC013c Age distribution workplace: Over 50 Scale F2 firmloca Organisation has more than one branch Scale F2 firmowne Organisation is domestic or foreign-owned Scale F2 firmow01 Home country - if company foreign-owned Scale F16 FIRMMNE_MDN Employed in multinational company Scale F4 FIRMPRI Public or private sector Scale F4 caocate4 Area of work Scale F2 CAOCATE Occupational category - combined caocateg and caocate3 Scale F4 CAOFIRM Covered by collective agreement Scale F4 caofirm8 Specification type of collective agreement Scale F4 CAONAME Name CAO (NL), PARCOM (BE) Scale F16 EDUCAT1 Highest level of education Scale F12 EDUCAT2 Education type Scale F12 EDUISCED ISCED eduation level Scale F4 EDUCALMH Education level in 3 groups Scale F4 EDUCAORI Orientation of education [1: general 2: prevocational 3: vocational 4: university] Scale F2 EDUCATY3 Age finishing ft education in 3 groups [1: 15 years or less 2: 16 - 19 years 3: 20 +

years] Scale F2

EDUCATYR Education length in years Scale F2 EDUOUTDA Educational category outdated Scale F4 EDUOUTDY Educational category - year outdated - if outdated Scale F4 yybirth Year of birth Scale F4 AGE Age Scale F3 YYEDUCA Year finishing full-time education - estimated if student Scale F4 skillan1 Language skill - First language home country Scale F2 skillan2 Language skill - Russian Scale F2 skillan3 Language skill - English Scale F2 skillan4 Language skill - German Scale F2 skillan5 Language skill - Spanish Scale F2 skillan6 Language skill - Chinese Scale F2 skillan7 Language skill - French Scale F2 skilla11 Language skill - Abkhazian Scale F2 skilla12 Language skill - Azerbaijani Scale F2 skilla13 Language skill - Armenian Scale F2 skilla14 Language skill - Belarusian Scale F2 skilla15 Language skill - Georgian Scale F2 skilla16 Language skill - Kazakh Scale F2 skilla17 Language skill - Kirghiz Scale F2 skilla18 Language skill - Latvian Scale F2 skilla19 Language skill - Estonian Scale F2 skilla20 Language skill - Tajik Scale F2 skilla21 Language skill - turkmen Scale F2 skilla22 Language skill - Uzbek Scale F2 skilla23 Language skill - Ukrainian Scale F2 skilla24 Language skill - Lithuanian Scale F2 EDUJOBT Time needed to become fully effective in job Scale F4 training How much training received from employer last year Scale F2 trainin1 How much training self paid last year Scale F2 educappr Has ever been on an apprenticeship Scale F2 educlevl Job level matches education level Scale F2 eduexpe Experience compensates - if underqualified Scale F2 CONTR7 Has permanent employment contract Scale F8 contrac6 DEU Has a mini-job Scale F2 contract Employment contract type - if not permanent Scale F2 HRSHISTO Has full-time working hours (self-defined) Scale F2 hrsdayp2 How many working days in a usual week Scale F2 hrscont3 Employment contract with agreed working hours Scale F2 hrscontr Working hours per week according to contract Scale F8.2 hrsreal0 Works usually hours agreed in contract Scale F4.2 hrsreal Usual working hours per week Scale F4.2


worktigb Individual opt-out European Working Time Directive Scale F2 tiroster Works shifts or irregular hours Scale F2 tisunday Works regularly on Sundays Scale F2 tisatday Works regularly on Saturdays Scale F2 tievning Works regularly in the evenings Scale F2 HRSWAG1 Calculated weekly hours for hourly wage calculation Scale F8.2 WAGEPER3 Wage period latest wage Scale F4 wageboth Knows gross and net wage Scale F2 WAGECUR Currency for wage - combined currency and umbrella search tree Scale F4 WAGEGR0 Gross wage in nat. currency, not cleaned, not controlled for pay period and hours Scale F24.2 WAGEGR1 Gross wage in nat. currency, not controlled for pay period and hours Scale F24.2 WAGENE1 Net wage in nat. currency, not controlled for pay period and hours Scale F24.2 hrswage Waged hours per week Scale F4.2 PPP Index (USA=1.00) Scale F24.4 WAGEHRPP Wage per hour (gross), controlled for PPP Scale F24.4 wagegr4 Gross income in nat. currency - if self-employed Scale F24.2 wagemon6 Number of months in which annual income was earned - if selfemployed Scale F2 wagemon7 BEL Number of months in which annual income was earned - if not selfemployed Scale F2 wageregu Received last wage by bank or cash in hand Scale F2 wageannu How many monthly payments per year Scale F2 wagebonu Regular bonus wage in percentage of normal monthly wage Scale F2 wagetax1 Contributes to social security Scale F2 wagetax2 Contribution to social security calculated over whole wage or part Scale F2 wageonti Matrix: Received latest wage on time Scale F2 wageincr Matrix: Received pay raise last year Scale F2 wagetop Matrix: Has reached top of grade Scale F2 wageperf Matrix: Would prefer if wage depended more on performance Scale F2 wageask Matrix: Asked for pay raise last year Scale F2 paydiscu Matrix: Had frank discussion about pay with supervisor last year Scale F2 wagevary Matrix: Wage varies from month to month Scale F2 seekeasy Matrix: Can easily find another job Scale F2 seekwage Matrix: Could earn more with other employer Scale F2 caoimpo1 Matrix: Important wages are covered by a collective agreement Scale F2 WASUM Sum of benefits in last wage Nominal F8.2 washif61 Shift / unsocial hours / weekend allowance Scale F2 washifts Amount: shift unsocial hours / weekend allowance Scale F24.2 waover61 Overtime bonus in last wage Scale F2 waovrtm Amount: Overtime bonus in last wage Scale F24.2 wadirt61 Dirty/dangerous work allowance in last wage Scale F2 wadirty Amount: dangerous work allowance Scale F24.2 watips61 Tips in last wage Scale F2 watips Amount: tips in last wage Scale F24.2 waskil61 Skill bonus in last wage Scale F2 waseni61 Seniority bonus in last wage Scale F2 waskill Amount: skill bonus Scale F24.2 wasenior Amount: seniority bonus Scale F24.2 waperf61 Performance bonus or allowance Scale F2 waperfom Amount: performance allowance Scale F24.2 watarg61 Target-related incentive bonus in last wage Scale F2 watarget Amount: target-related bonus Scale F24.2 wa13mn61 Annual bonus (13th 14th or 15th month) Scale F2 wa13mnth Amount: Annual bonus (13th 14th or 15th month) Scale F24.2 waannu61 Annual bonus in last wage Scale F2 waannual Amount: annual bonus Scale F24.2 wayear61 End-of-year bonus Christmas bonus in last wage Scale F2 wayearnd Amount: end-of-year bonus Scale F24.2 waholi61 Holiday allowance in last wage Scale F2 wahollid Amount: holiday allowance Scale F24.2 wagrou61 Group performance allowance in last wage Scale F2 wagroupb Amount: group performance allowance Scale F24.2 wamarv62 Market value allowance in last wage Scale F2 wamarval Amount: market value allowance Scale F24.2 waperson Amount: personal allowance Scale F24.2 wapers62 Personal allowance in last wage Scale F2 wacommut Amount: commuting/public transport allowance Scale F24.2 wacomm61 Commuting / public transport allowance in last wage Scale F2 waprof61 Profit sharing in last wage Scale F2 waprofit Amount: profit sharing Scale F24.2 wacity61 City compensatory allowance in last wage Scale F2 wacityal Amount: city compensatory allowance Scale F24.2 waothe61 Other allowances in last wage Scale F2


waother Amount: other allowances Nominal F24.2 WAGENE0 Net wage in nat. currency, not cleaned, not controlled for pay period and hours Scale F24.2 frstud66 Schemes in past 12 months: How much does your employer contribute to Childrens

school or study costs? - if participation in childrens school or study costs Scale F2

frfree61 Schemes in past 12 months: Additional free days - if participation in other schemes Scale F2 frexpe61 Schemes in past 12 months: Arrangements regarding expences Scale F2 frcar61 Schemes in past 12 months: Transport arrangements (lease car, company car,

commuting costs) Scale F2

frlapt61 Schemes in past 12 months: PC at home / laptop Scale F2 frdayc61 Schemes in past 12 months: Childrens day-care arrangements Scale F2 frmedi61 Schemes in past 12 months: Health insurance arrangements Scale F2 frpens61 Schemes in past 12 months: Pension schemes Scale F2 frsavs61 Schemes in past 12 months: Savings schemes Scale F2 frsavs65 Schemes in past 12 months: Employers contribute to Savings scheme premium - if

participation in savings scheme Scale F2

frunem61 Schemes in past 12 months: Unemployment schemes Scale F2 frunem65 Schemes in past 12 months: Employers contribution to unemployment scheme Scale F2 frshar61 Schemes in past 12 months: Share options arrangements Scale F2 frhous61 Schemes in past 12 months: Contribution to lodging / costs related housing Scale F2 frspor61 Schemes in past 12 months: Sports facilities Scale F2 frgdik61 Schemes in past 12 months: Benefits in kind (vouchers and discounted goods and

services) Scale F2

frmort61 Schemes in past 12 months: Lower rate of interest on mortgage Scale F2 frothe61 Schemes in past 12 months: Other additions to pay from your employer over the

past 12 months Scale F2

frnhol61 Received annual bonus: Holiday allowance Scale F2 frnhol65 Percentage holiday allowance - if bonus Scale F3 frnhol66 Amount of holiday allowance - if bonus Scale F24.2 frnfes61 Received annual bonus: Festival bonus Scale F2 frnfes65 Percentage festival bonus - if bonus Scale F3 frnfes66 Amount of festival bonus - if bonus Scale F24.2 frnend61 Received annual bonus: End-of-year bonus Scale F2 frnend65 Percentage End-of-year-bonus - if bonus Scale F3 frnend66 Amount of End-of-year-bonus - if bonus Scale F24.2 frnxma61 Received annual bonus: Christmas bonus Scale F2 frnxma65 Percentage Christmas bonus - if bonus Scale F3 frnxma66 Amount of Christmas bonus - if bonus Scale F24.2 frn12m61 Received annual bonus: 12.5th month Scale F2 frn12m65 Percentage: 12.5th month - if bonus Scale F3 frn12m66 Amount: 12.5th month - if bonus Scale F24.2 frn13m61 Received annual bonus: 13th month Scale F2 frn13m65 Percentage: 13th month - if bonus Scale F3 frn13m66 Amount: 13th month - if bonus Scale F24.2 frnpro61 Received annual bonus: Profit share Scale F2 frnpro65 Percentage profit share - if bonus Scale F3 frnpro66 Amount of profit share - if bonus Scale F24.2 frncoo61 Received annual bonus: Payments from balance surplus in co-operatives Scale F2 frncoo65 Percentage payments from balance surplus in co-operatives - if bonus Scale F3 frncoo66 Amount of payments from balance surplus in co-operatives - if bonus Scale F24.2 frnper61 Received annual bonus: Performance bonus Scale F2 frnper65 Percentage performance bonus - if bonus Scale F3 frnper66 Amount of performance bonus - if bonus Scale F24.2 frnoth61 Received annual bonus: Other annual bonus Scale F2 frnoth65 Percentage: other annual bonuses - if bonus Scale F3 frnoth66 Amount: other annual bonuses - if bonus Scale F24.2 mofstjob Month starting first job - < 200801 Scale F2 YYFSTJO Year starting first job Scale F4 MMFSTJO If first job < SURVEYY - 1 : Month of first job Scale F4 JOBHIST How often changed employer since first job Scale F4 YYCUEMPL Year joining current employer - if > 1 employer Scale F4 jobhist2 How many positions with current employer Scale F2 YYCUPOSI Year starting current position - if > 1 position with current employer Scale F4 dephisto Has worked in different departments in organisation Scale F2 jobpromo Has been promoted in current firm Scale F2 BREAK How often career break - if > 1 job Scale F4 BREAKPER Duration of break - longest break if > 1 break Scale F4 yybreak Year starting employment spell Scale F4 yyrenter Year ending employment spell Scale F4 TENUEXPE Years of service Scale F4 ILC019 Has been absent due to illness, accident or health reasons in last 12 months Scale F2 ILC020 How often were you absent during the last 12 months? Scale F2


ILC021 How many DAYS were you absent during the last 12 months? Scale F2 WAGEGRHR Gross HOURLY wage in nat. currency Scale F24.4 WAGENEHR Net HOURLY wage in nat. currency Scale F24.4 memtrad6 Type of trade union - if member Scale F2 MEMTRAD Member of a trade union Scale F4 memtrad2 Trade union representative Scale F2 memdele1 Member of a workplace representation committee Scale F2 memstaff MATRIX: Member of a staff association (CHECKBOX 2006-08) Scale F2 memproff MATRIX: Member of a professional organisation (CHECKBOX 2006-08) Scale F2 MEMTRAD4 Member of which trade union Scale F8 regiwor0 Workplace in same region as region home address Scale F2 commtime Commuting time in minutes one way Scale F2 commdist Commuting distance in kilometers one way Scale F2 commdis2 Commuting distance in miles one way Scale F2 comcar Checkbox: Commutes by car Scale F2 combike Checkbox: Commutes by bike Scale F2 commoped Checkbox: Commutes by scooter Scale F2 combus Checkbox: Commutes by bus, tram, metro Scale F2 comtrain Checkbox: Commutes by train Scale F2 comfoot Checkbox: Commutes by foot Scale F2 comcomt Checkbox: Commutes by company transport Scale F2 comhome Checkbox: Works from home Scale F2 comother Checkbox: Commutes otherwise Scale F2 cobindia Citizen of country of survey Scale F2 cobself1 Born in country of survey Scale F2 cobself Country of birth self - if not born in country of survey Scale F4 cobmoth1 Mother born in same country as self Scale F16 cobmothe Country of birth mother Scale F4 cobfath1 Father born in same country as self Scale F16 cobfathe Country of birth father - if not equal to cobself Scale F4 coblang1 Language spoken at home Scale F16 yyarriva Year of arrival in country of survey Scale F4 cobreaso Reason for coming to country of survey Scale F2 COBETHG Ethnic / social / minority group Scale F8 regibir0 Born in same region as current region - if born in country of survey Scale F2 REGIHOM2 Region home address - detailed geo info Scale F16 REGI_SAL Mapping regions for salary check Scale F2 POSTCOD2 NLD postal code 2 digit - HUN postal code Scale F16 regicity Combined urbanisation level (Mapping based on REGIHOM2 or through question

regicity_1001) Scale F2

regiwork Region work address - aggregate geo info Scale F16 regibirt Region birth address - aggregate geo info Scale F16 GENDER Gender Scale F4 hhnrmemb How many household members Nominal F2 hhpartn1 Matrix: Living with partner - if > 1 household member Scale F2 hhchild Matrix: Living with one or more children - if > 1 household member Scale F2 hhchildp Matrix: Living with children part of the week - if > 1 household member Scale F2 hhgchild Matrix: Living with grandchildren - if > 1 household member Nominal F2 hhstate7 Matrix: Living with parents (in-law) - if > 1 household member Scale F2 hhstat10 Matrix: Living with grandparents (in-law) - if > 1 household member Nominal F2 hhstat21 Matrix: Living with brothers or sisters - if > 1 household member Scale F2 hhstat20 Matrix: Living with other relatives - if > 1 household member Scale F2 hhstat13 Matrix: Living in joint family - if > 1 household member Scale F2 hhstat12 Matrix: Living with house help - if > 1 household member Scale F2 hhstat22 Matrix: Living with other house personnel - if > 1 household member Scale F2 hhlivein Matrix: Living with live-in friend - if > 1 household member Scale F2 hhstate8 Matrix: Living with non-family members - if > 1 household member Scale F2 HHSTAT Current marital status Scale F4 hhmarry Expects to marry - if student, school pupil Scale F2 hhstat11 Has girlfriend or boyfriend - if school pupil Scale F2 chld Has children Scale F2 chldhome Children living at home max_6 - if children Scale F2 chldout Children not living at home max_6 - if children Scale F2 yyolchld Year eldest / only child born Scale F4 yyyochld Year youngest child born - if > 1 child Scale F4 hhfinsup Paper survey: GTM received finiancial support from abroad Scale F2 LISS_internet_int1 NLD-LISS - Best description of internet at home over the past month Scale F2 satjob Matrix: Satisfaction with job Scale F2 wagesat2 Matrix: Satisfaction with pay Scale F2 commsat Matrix: Satisfaction with commuting time Scale F2 satcombi Matrix: Satisfaction with combi work - family Scale F2


satsecur Matrix: Satisfaction with security Scale F2 satenvir Matrix: Satisfaction with work environment Scale F2 sathrs Matrix: Satisfaction with working hours Scale F2 satcoll Matrix: Satisfaction with relationship with your colleagues at work Scale F2 satsupvi Matrix: Satisfaction with relationship with your superiors at work Scale F2 satlife Matrix: Satisfaction with life as-a-whole Scale F2 part_2 Participates in part 2 of questionnaire -> 200800 Scale F2 contrac4 Employment status in second job Scale F2 hrssecon Working hours per week in second job Scale F4.2 jobene61 Matrix agree randomizer: Has sufficient energy to do the job Scale F2 spvsup61 Matrix agree randomizer: Gets sufficient support from supervisor Scale F2 occcho61 Matrix agree randomizer: Happy to work in this occupation Scale F2 jobcha61 Matrix agree randomizer: Job is sufficiently varied Scale F2 jobint61 Matrix agree randomizer: Job has become more interesting in past year Scale F2 conhea61 Matrix randomizer: Works in unhealthy conditions Scale F2 constr61 Matrix frequency randomizer: Finds your job stressful Scale F2 condan61 Matrix frequency randomizer: Works in dangerous conditions Scale F2 traiww61 Matrix frequency randomizer: Finds training would be worthwile Scale F2 conphy61 Matrix frequency randomizer: Job physically exhausting Scale F2 conmen61 Matrix frequency randomizer: Job mentally exhausting Scale F2 jobaut61 Matrix frequency randomizer: Organises own tasks Scale F2 jobrou62 Matrix frequency randomizer: How often find job involves monotonous tasks Scale F2 jobrot62 Matrix frequency randomizer: How often take over tasks assigned to co-workers Scale F2 jobsec62 Matrix frequency randomizer: How often worries about job security Scale F2 conbor61 Matrix frequency randomizer: Finds job boring Scale F2 edumore Has gained further qualifications after full-time education Scale F2 edumore1 Type of studies this year - if gained further qualifications Scale F2 educhanc Qualifications improved chances on labour market Scale F2 firmsiz2 Company size in country of survey - if >1 location Scale F2 firmfem1 Percentage women in company - if >1 location Scale F2 jobalone Matrix randomizer: In workplace works alone Scale F2 depteam Matrix randomizer: In workplace most of work in teams Scale F2 jobnocow Matrix randomizer: In workplace deals with non-coworkers Scale F2 jobfrien Matrix randomizer: In workplace some coworkers are friends Scale F2 compjob Matrix randomizer: Uses computers or comp equipment at work Scale F2 compequi Matrix randomizer: Uses other automated equipment at work Scale F2 compinet Matrix randomizer: Uses internet at work Scale F2 depdisc Matrix randomizer: In workplace changes are discussed with management Scale F2 depmach1 Matrix randomizer: In workplace machines/equipment are in a good state of repair Scale F2 depstaf3 Matrix randomizer: In workplace staffing levels are sufficient Scale F2 depconf3 Matrix randomizer: Conflicts regularly occur at workplace Scale F2 depwork1 Matrix randomizer: In workplace work is well-organised Scale F2 depinfo1 Matrix randomizer: Is informed about the work to be done Scale F2 depinfo2 Matrix randomizer: Is informed about whats going on in workplace Scale F2 supvclo1 Matrix randomizer: Is closely supervised Scale F2 wagequa3 Matrix randomizer: Women and men have equal opportunities Scale F2 firmrela Matrix randomizer: Relations between management and employees are good Scale F2 firmresp Matrix randomizer: In organisation you are treated with respect Scale F2 firmtrust Matrix randomizer: In organisation you trust the management Scale F2 firmprom Matrix randomizer: In organisation promotions are handled fairly Scale F2 firmgro1 Matrix: In workplace workforce changed in past 12 months Scale F2 firmgro2 Matrix: In workplace workforce will change in next 12 months Scale F2 firmhie1 Matrix: In workplace nr of managers changed in past 12 months Scale F2 firmhie2 Matrix: In workplace nr of managers will change in next 12 months Scale F2 opcarmal Matrix: Men in our organisation make their careers more easily. Scale F2 opintim2 Matrix: Intimate relationships between collegues bother me. Scale F2 oppresol Matrix: Older employees have problems keeping up with the working speed Scale F2 oprelig1 Matrix: I think wearing of relegious sybols on the working floor is inappropriate Scale F2 oprelig2 Matrix: I do not think it is nescecary to take relgious festivals into account at work. Scale F2 opdresc1 Matrix: I find sexy clothing on the working floor inappropriate Scale F2 firmrep1 Matrix: In organisation shop steward present Scale F2 firmcou1 Matrix: In organisation workplace representation Scale F2 firmcou2 Matrix: In organisation works/staff council present Scale F2 firmequ1 Matrix: In organisation equal opportunity committee present Scale F2 firmrep4 Matrix: In workplace officer/employee association Scale F2 firmrep8 Matrix: In workplace allowed to join trade union or association Scale F2 firmre10 Matrix: In organisation HR officer Scale F2 firminfl Matrix: In organisation trade unions influence management Scale F2 jobpersp Matrix: Has good career opportunities in organisation Scale F2 jobfamil Matrix: In organisation some co-workers are family members Scale F2 firmre13 Matrix: In workplace open door policy to report problems with supervisors to senior Scale F2


management firmdiftu Matrix: BRA In workplace organisation creates difficulty workers to affiliate trade

union Scale F2

break2 Checkbox: Break due to illness, handicaps Scale F2 break3 Checkbox: Break due to unemployment Scale F2 break13 Checkbox: Break due to could not continue own business Scale F2 break1 Checkbox: Break due to family reasons Scale F2 break11 Checkbox: Break due to housekeeping Scale F2 break12 Checkbox: Break due to caring for household members Scale F2 break7 Checkbox: Break due to care for other persons Scale F2 break6 Checkbox: Break due to military service Scale F2 break5 Checkbox: Break due to other reasons Scale F2 break19 During break: job protection Scale F2 break14 Checkbox: Income during break: unemployment benefit Scale F2 break15 Checkbox: Income during break: leave coverage Scale F2 break16 Checkbox: Income during break: partner / family Scale F2 break17 Checkbox: Income during break: disability benefit Scale F2 break18 Checkbox: Income during break: other sources Scale F2 break20 Checkbox: Income during break: past savings Scale F2 break21 Checkbox: Income during break: lay off pay Scale F2 break22 Checkbox: Income during break: voluntary retirement payment Scale F2 break23 Checkbox: Income during break: insurance Scale F2 break25 Checkbox: BRA Income during break: FGTS Fundo de Garantia por Tempo de

Servio - < 200801 Scale F2

break26 Checkbox: BRA Income during break: Free work - < 200801 Scale F2 breaknon Checkbox: Income during break: no income Scale F2 seekhisb How long looking for job after break Scale F2 seekhist How long looking for first job Scale F2 occhist2 Still working in the same business activity / industry as in first job Scale F2 occhist1 Still working in the same occupation as in first job Scale F2 seekjob Has been looking for another job in past 4 weeks Scale F2 seapempl Checkbox: Visit a private employment agency Scale F2 seainter Checkbox: Search a jobsite on the Internet Scale F2 seajnals Checkbox: Job search by Looking in professional magazines Scale F2 seaphone Checkbox: Job search by phone to employers directly Scale F2 searesum Checkbox: Job search by sending CV to employers speculatively Scale F2 sea1exam Checkbox: Job search by doing official examination for a public post Scale F2 firmpri2 Matrix: In organisation privatisation took place in past 12 months Scale F2 firmpri3 Matrix: In organisation privatisation expected in next 12 months Scale F2 firmtrai Matrix: In organisation training opportunities were offered in past 12 months Scale F2 firmreo1 Matrix: In organisation reorganisations affected workplace in past 12 months Scale F2 firmprot Matrix: Organisation faced employee protest/strike Scale F2 firminit Matrix: Organisation took new strategic initiatives Scale F2 firmreti Matrix: Organisation announced voluntary retirement Scale F2 firmmerg Matrix: In organisation merger took place in past 12 months Scale F2 firmcom1 Matrix: In organisation computer equipment was renewed in past 12 months Scale F2 firmcom3 Matrix: In organisation new machinery in next 12 months Scale F2 firmstra Matrix: In organisation competent strategy in past 12 months Scale F2 firmstr2 Matrix: In organisation competent management strategy in next 12 months Scale F2 firmdism Matrix: In organisation dismissals expected in next 12 months Scale F2 firmdis2 Matrix: In organisation lay off/voluntary retirement expected in 12 months Scale F2 firmini2 Matrix: In organisation new strategic initiatives expected in 12 months Scale F2 firmbro1 Matrix: In organisation threat of bankruptcy in past 12 months Scale F2 firmtra2 Matrix: In organisation training opportities expected in next 12 months Scale F2 firmreo2 Matrix: In organisation reorganisations expected in next 12 months Scale F2 firmmer2 Matrix: In organisation merger expected in next 12 months Scale F2 firmbro2 Matrix: In organisation threat of bankruptcy in next 12 months Scale F2 firmrecr Matrix: In organisation mass manpower recruitment expected in 12 months Scale F2 jobfutu1 Expects being with current employer next year Scale F2 jobfutu2 Expects having a job next year - if unemployed Scale F2 jobfutu3 Expects still being in own business next year - if self-employed Scale F2 jobfutu4 Job expectations next year - if with same employer Scale F2 sollici1 Most irritating aspect of job interviews Scale F2 sollici2 How treated on job interviews Scale F2 jobfutu5 Job expectations next year - if not with same employer/same business Scale F2 jobprom3 Matrix: Is eager to get promoted Scale F2 jobtasks Matrix: Job content will change next year Scale F2 jobloss Matrix: Job will become redundant next year Scale F2 payrise Matrix: Expects a pay rise next year Scale F2 prefjob Matrix: Is eager to find a new job Scale F2 comptrai Matrix: Computer training needed for job Scale F2


preflott Matrix: Hopes to win the lottery Scale F2 payunsta Matrix: Expects income will be unstable and uncertain Scale F2 seekcomm When looking for a job: Commuting time important Scale F2 seekdist When looking for a job: Commuting distance important Scale F2 seekflex When looking for a job: flexible hours important Scale F2 seektrai When looking for a job: Training opportunities important Scale F2 seeksala When looking for a job: Decent salary important Scale F2 seekperm When looking for a job: Permanent contract important Scale F2 seekcoll When looking for a job: Nice co-workers important Scale F2 seekfame When looking for a job: Employers reputation important Scale F2 seekpens When looking for a job: Pension scheme important Scale F2 seekday1 When looking for a job: Employer pays childcare healthcare important Scale F2 seekjobq When looking for a job: Quality of job important Scale F2 seekhrs When looking for a job: Suitable working hours important Scale F2 seekstat When looking for a job: Higher social status important Scale F2 seektrav When looking for a job: Opportunities to travel abroad important Scale F2 seekfrin When looking for a job: Fringe benefits important Scale F2 seekrewa When looking for a job: Reward opportunity important Scale F2 seekpar1 NLD-VLW When looking for a job: possiblity to work part-time important Scale F2 seekcond When looking for a job: Employment benefits important Scale F2 seekintc When looking for a job: International career opportunities important Scale F2 seekchal When looking for a job: Demanding job important Scale F2 seekpers When looking for a job: Career prospects / possibilities important Scale F2 seekstres When looking for a job: Less working pressure important Scale F2 seekleav When looking for a job: Good leave scheme important Scale F2 seekcomb When looking for a job: Combi work family important Scale F2 seekday2 When looking for a job: Firms kindergarten / employer contributions to child care

important Scale F2

seekcult When looking for a job: Company culture important Scale F2 hrshist1 Has always worked full-time Scale F2 yyfullti Year start working full-time - if change part-time > full-time Scale F4 hrshist2 Has always worked part-time Scale F2 yypartti Year start working part-time - if change full-time > part-time Scale F4 hrspref Prefers more or less hours a week Scale F2 hrscont4 Employment contract - sort of working hours agreed Scale F2 hrsptedu Checkbox: Part-time because of education Scale F2 hrspthou Checkbox: Part-time because of housekeeping Scale F2 hrsptchl Checkbox: Part-time because looking after children Scale F2 hrspttim Checkbox: Part-time because time needed for self Scale F2 hrsptsec Checkbox: Part-time because of second job Scale F2 hrspthea Checkbox: Part-time because of health problems Scale F2 hrsptret Checkbox: Part-time because of retirement Scale F2 hrsptnof Checkbox: Part-time because cannot find full-time job Scale F2 hrsptdem Checkbox: Part-time because full-time job too stressful Scale F2 hrsppolt Checkbox: Politic issues Scale F2 hrscont7 Minimum working hours - if flexible or annualised hours Scale F4.2 hrscont8 Maximum working hours - if flexible or annualised hours Scale F4.2 hrscont5 Working hours a year: annualised contract Scale F2 hrscont6 Minimum or maximum working hours agreed Scale F2 wageotim How is overtime paid - if hours agreed Scale F2 hrslunch Lunchtime included in agreed working hours Scale F2 hrsfirm Standard fulltime working week in organisation Scale F4.2 tiroste1 Works in shifts Scale F2 tishift3 Type of shifts or irregular hours Scale F2 tihomtel Matrix: Teleworks at least one day a week Scale F2 tiroste7 Matrix: Knows working hours at least 1 month in advance Scale F2 tiroste8 Matrix: Knows working hours at best 1 week in advance Scale F2 tirost10 Matrix: Supervisor asks to change working hours Scale F2 tiroste9 Matrix: Can easily swap shifts with co-workers Scale F2 ddrun17 Matrix: How often supervisor changes working hours Scale F2 ticonfli Matrix: How often working hours conflict with family life Scale F2 ddrun18 Matrix: How often there is no work for you Scale F2 preftel1 Matrix: How often prefers to telework Scale F2 ddrun16 Matrix: How often not able to take lunch break Scale F2 ddrun15 Matrix: How often unexpected overtime Scale F2 conspeed Matrix: How often works at very high speed Scale F2 tideadli Matrix: How often works to tight deadlines Scale F2 hrschang Agreed hours changed last year Scale F2 hrschan1 Reasons for changing to fewer hours Scale F2 hrschan2 Reasons for changing to more hours Scale F2 hrschan3 Reasons for changing to flexible hours Scale F2


ddwork1 Worked usual working hours last 7 days Scale F2 ddworvac Checkbox: Did not work usual hours due to vacation/days off Scale F2 ddworill Checkbox: Did not work usual hours due to illness Scale F2 ddworfam Checkbox: Did not work usual hours due to family reasons Scale F2 ddworedu Checkbox: Did not work usual hours due to education Scale F2 ddworsho Checkbox: Did not work usual hours due to short-time working Scale F2 ddwordis Checkbox: Did not work usual hours due to labour dispute Scale F2 ddworwea Checkbox: Did not work usual hours due to weather conditions Scale F2 ddworloo Checkbox: Did not work usual hours, was looking for a job Scale F2 ddworlea Checkbox: Did not work usual hours due to parental leave Scale F2 ddworsea Checkbox: Did not work usual hours due to seasonal work Scale F2 ddworsen Checkbox: Did not work usual hours due to seniority leave Scale F2 ddworvar Checkbox: Did not work usual hours due to variable hours Scale F2 ddworoth Checkbox: Did not work usual hours due to other reasons Scale F2 confixed Duration of fixed-term contract Scale F2 confixe1 Prospects with current employer fixed term contract Scale F2 confiski Matrix: Fixed-term contract gives me opportunity to increase my skills Scale F2 confiexp Matrix: Fixed-term contract gives me opportunity to build up work experience Scale F2 confipen Matrix: Fixed-term contract restricts my capacity to build up a pension Scale F2 confihou Matrix: Fixed-term contract hinders buying a house Scale F2 confipar Matrix: Fixed-term contract forces me to stay with my parents Scale F2 confichi Matrix: Fixed-term contract forces me to postpone having children Scale F2 confiper Matrix: Fixed-term contract: no permanent jobs available Scale F2 confiemp Matrix: Fixed-term contract gives me opportunity to look for the best employer Scale F2 wageflex Part of my salary is variable Scale F2 wagefle1 Percentage of variable wage Scale F2 wageba1 Receives a basic wage Scale F24.2 wageba2 Amount basic part of last wage Scale F24.2 frcar65 Arrangement regarding transportation expenses Scale F2 frcar66 Amount gas expenses private car use compensated by employer Scale F24.2 frputr65 Amount compensation public transport Scale F24.2 frexpe65 Amount fixed compensation of expenses - if schemes Scale F24.2 frpare65 Amount fixed compensation of expenses - if schemes Scale F24.2 frstud65 Amount Contribution to cost related to study, education (e.g. foreign languages

courses) - if schemes Scale F24.2

frwphm65 Amount Contribution to home office furnishings and fittings - if schemes Scale F24.2 frtele65 Amount compensation expenses telephone use at home - if schemes Scale F24.2 frmobi65 Arrangement regarding your mobile phone - if schemes Scale F2 frmobi66 Amount Compensation limit for use of company mobile phone - if arrangement

regarding phone Scale F24.2

frmedi65 Employers contribution to Private health insurance Scale F2 frmedi66 Employers contribution to Medical insurance Scale F2 frpen651 Checkbox: Contribution to company pension scheme - if participation in pension

scheme Scale F2

frpen652 Checkbox: Contribution to private pension scheme - if participation in pension scheme

Scale F2

papensic Checkbox: Participates in pension scheme at company level Scale F2 papensio Checkbox: Participates in pension scheme Scale F2 frpen653 Checkbox: Contribution to other type of pension scheme - if participation in pension

scheme Scale F2

frpen656 Checkbox: No pension scheme Scale F2 frpens66 Level of employer contribution to pension scheme Scale F2 frdayc65 How much does your employer contribute to Childrens day-care costs? - if

participation in childrens day-care costs Scale F2

frshar65 In what way have you participated in a share options arrangement? - if participation in share options

Scale F2

pachoice Checkbox: Participates in flexible benefit plan Scale F2 pastudys Checkbox: Participates in training scheme Scale F2 papleave Checkbox: Participates in parental leave scheme Scale F2 padaycre Checkbox: Participates in daycare scheme Scale F2 pahrsre1 Checkbox: In workplace statutory entitlement to shorter working hours Scale F2 paleasav Checkbox: Participates in leave accumulation scheme / time-banking Scale F2 pacante Checkbox: Receives canteen/food voucher Scale F2 pawotime Checkbox: Participates in working time experiment Scale F2 paearlyr Checkbox: Participates in early retirement scheme Scale F2 patelewo Checkbox: Participates in telework scheme Scale F2 paretire Checkbox: Participates in scheme to support work when getting old Scale F2 paypolic Satisfaction with employers approach to pay Scale F2 payitime Confident that I will be paid on time Scale F2 paycost Confident wage keeps up cost of living Scale F2 payhilow Wage distribution large at workplace Scale F2


paymore Should earn more given performance Scale F2 satbonus Satisfaction with allowances Scale F2 satcontr Satisfaction with contract Scale F2 pensworr Worries about pension Scale F2 hhownho2 House owner or renter Scale F2 hhparact Partners principal activity Scale F2 hhhrspa Working hours partner Scale F8.2 hhincome Monthly net household income in euro Scale F24.2 hhincom1 Monthly net household income in euro in categories - if euro country Scale F2 wagetax NLD Tax relief per month in euro on mortgage interest Scale F2 hhgrowfo Matrix: Family grows own food Scale F2 hhmutual Matrix: Has developed mutual understanding about sharing tasks Scale F2 hhrespin Matrix: Contributes most to household income - if not single Scale F2 hhresphh Matrix: Contributes most to household tasks - if not single Scale F2 hhhomehe Matrix: Has paid domestic help Scale F2 hhshoti1 Matrix: Has sufficient time for household duties Scale F2 hhargume Matrix: Has often arguments division housh tasks - if partner Scale F2 hhtimere Matrix: Tries to reduce time spend on household tasks Scale F2 hhwofato Matrix: Finds combining work and family tough Scale F2 hrshkeep Hours of housekeeping per week Scale F4.2 hrshelp Hours of paid domestic help per week Scale F4.2 hhbaby Expecting a child or hopig so in 3 years - if woman in fertile years with partner Scale F2 hhbaby1 Expects to have children in future Scale F2 lccpartn Checkbox: When at work, care for child: partner Scale F2 lccgrndp Checkbox: When at work, care for child: grandparent Scale F2 lccsiste Checkbox: When at work, care for child: sister, brother Scale F2 lccplayg Checkbox: When at work, care for child: play ground Scale F2 lccfamil Checkbox: When at work, care for child: other family member, neighbour Scale F2 lccexcha Checkbox: When at work, care for child: exchange with other parents Scale F2 lccminde Checkbox: When at work, care for child: paid childminder at home (nanny, au-pair) Scale F2 lccnanny Checkbox: When at work, care for child: nanny, au-pair Scale F2 lccchmin Checkbox: When at work, care for child: childminder Scale F2 lccdayca Checkbox: When at work, care for child: daycare centre Scale F2 lccnurse Checkbox: When at work, care for child: nursery Scale F2 lccschoo Checkbox: When at work, care for child: school Scale F2 lccguest Checkbox: When at work, care for child: host family Scale F2 lccafter Checkbox: When at work, care for child: outschool service Scale F2 lccother Checkbox: When at work, care for child: other person Scale F2 lccna Checkbox: When at work, care for child: not aplicable Scale F2 lccnone Checkbox: When at work, care for child: no-one Scale F2 daychrs How many day parts childcare per week Scale F2 daycall1 Employer partner compensates daycare expenses Scale F2 daycall2 Part of expense compensation by employer on daycare Scale F2 daycbill Due to new child daycare bill, has arranged daycare in a different way Scale F2 chldcomb Matrix: How often feels not being able to combine work and children Scale F2 chldcarr Matrix: How often feels care for children obstructs career possibilities Scale F2 chldambi Matrix: How often feels career get in the way of proper caring for children Scale F2 hrsdayc2 For how many days a week do you use these arrangements? Scale F4.2 volscole Checkbox: Voluntary work at school, neighbourhood - < 200901 Scale F2 volsport Checkbox: Voluntary work in sports or hobby club - < 200901 Scale F2 volchur2 Checkbox: Voluntary work in church, religious organisation - < 200901 Scale F2 volcultu Checkbox: Voluntary work in charity, ngo - < 200901 Scale F2 volpolit Checkbox: Voluntary works in politics, action group - < 200901 Scale F2 voltrad1 Checkbox: Voluntary work in trade union - < 200901 Scale F2 volprofo Checkbox: Voluntary work in professional organisation - < 200901 Scale F2 volyouth Checkbox: Voluntary work in aid, youth work - < 200901 Scale F2 volothe1 Checkbox: Other kinds of voluntary work - < 200901 Scale F2 volnon1 Checkbox: No voluntary work - < 200901 Scale F2 hrscare Number of hours unpaid care for others Scale F4.2 sathhinc Satisfaction with household income Scale F2 sathealt Satisfaction with health Scale F2 sathous Satisfaction with housing Scale F2 satleisu Satisfaction with leisure time Scale F2 sathhdiv Satisfaction with division of housework Scale F2 satwelfa Satisfaction with welfare provisions Scale F2 ISCOISEI ISEI International Socio-Economic Index of occupational status for ISCO-08 Scale F2 LASTVAR Nominal F8.2


3 The variable values

Varname Value Value label

SURVEYY -999 Missing (Mapping not available) SURVEMM -999 Missing (Mapping not available) 1 January 2 February 3 March 4 April 5 May 6 June 7 July 8 August 9 September 10 October 11 November 12 December SURVEWW -999 Missing (Mapping not available) SURVEDW -999 Missing (Mapping not available) 1 Sunday 2 Monday 3 Tuesday 4 Wednesday 5 Thursday 6 Friday 7 Saturday SURVEDM -999 Missing (Mapping not available) SURVEDY -999 Missing (Mapping not available) SURVEQY -999 Missing (Mapping not available) SERVERTIME -999 Missing (Mapping not available) SURVEHH -999 Missing (Mapping not available) SURVTIME -999 Missing (Mapping not available) SURVENR -999 Missing (Mapping not available) 10.00 wipaper NLD v1 VLW (2000-11) 20.00 wi-2000 v2 VLW web (2000-11 / 2000-12) 110.00 wi-2001 v1 VLW web (2000-12 / 2001-05) 120.00 wi-2001 v2 LW (2001-05 / 2001-01-22) 210.00 wi-2002 v1 LW (2002-01-23 / 2002-10-25) 220.00 wi-2002 v2 LW (2002-10-26 / 2003-02) 310.00 wi-2003 v 1 LW (2003-02 / 2003-12-16) 320.00 wi-2003 v2 LW-tijddata (2003-12-16 / 2004-04-29) 410.00 wi-2004 v1 LW-tijddata (2004-04-25 / 2004-10-16) 420.00 wi-2004 version 2 WW-data (2004-10-16 / 2005-10-09) 510.00 wi-2005 version 1 WW-data (2005-10-01 / 2006-01-01) 520.00 wi-2005 version 2 WW-data 520.10 wipaper HUNGARY 1st sample (random, 2502 cases by professional interviewers) 520.20 wipaper HUNGARY 2nd sample (trade union activists) 520.30 wipaper HUNGARY 3rd sample (trade union activists) 520.40 wipaper HUNGARY 4th sample (trade union activists) 610.00 wi-2006 610.10 wipaper INDIA - selected occupations 2006 620.00 wi-2006-2 620.10 wi-2006-2.1 630.00 wi-2006-3 710.00 wi-2007 First questionnaire release 720.00 wi-2007 Second questionnaire release 730.00 wi-2007 Third questionnaire release

730.01 wi-2007 ARGENTINA Third questionnaire release - Updated with 2009 coding for region and education

730.02 wi-2007 GERMANY Third questionnaire release - Updated with 2009 coding for region and education - different wage calcula

810.00 wi-2008 First questionnaire release - Introduction part 1 - part 2 questionnaire 810.10 wipaper PARAQUAY 2009 811.00 wi-2008-04 Part 1 & part 2 questionnaires via offline QMS 820.00 wi-2008 Second questionnaire release - switch to offline qms 910.00 wi-2008-04 recoded search trees region education added 910.01 wipaper GUATEMALA GTEM_ADM Public administration employees 910.02 wipaper GUATEMALA GTEM_CON Woodworking and Construction employees 910.03 wipaper GUATEMALA GTEM_DRI Drivers employees 910.04 wipaper GUATEMALA GTEM_EDU Education employees


910.05 wipaper GUATEMALsA GTEM_FOM Food manufacturing employees 910.06 wipaper GUATEMALA GTEM_HOS Hospitals employees 910.07 wipaper GUATEMALA GTEM_RES Restaurants employees 910.08 wipaper GUATEMALA GTEM_SEC Security employees 910.09 wipaper GUATEMALA GTEM_TEX Textile industry employees 910.10 wipaper GUATEMALA GTEM_TOU Tourism employees 910.11 wipaper GUATEMALA GTEM_TRA Transport employees 910.12 wipaper GUATEMALA GTEM_TRV Travel employees 910.13 wipaper GUATEMALA GTSE_COM Shop and services selfemployed 910.14 wi-2008-04 beta2 911.00 wi-2008-04 NACE2004 and new MNE added 912.00 wi-2008-04 Occupation 13 digit added and panel page inserted 1001.00 wg-2010-01 German stand alone questionnaire 1002.00 wi-2010-01 Master questionnaire - Second draft 1102.01 2011 Lohnspiegel full survey - part 2 included - Annual MANUAL update 1102.02 2011 Lohnspiegel full survey - part 2 included - WSI questions added 1201.01 2012 Wageindicator full survey - part 2 included - Annual update 1201.02 2012 WISUTIL full survey - part 2 included - Annual update - Energy Industry 1201.03 2012 Intermediair NLD full survey - part 2 included - Annual update 1201.06 2012 Wageindicator full survey - part 2 included - WSI questions included 1201.07 2012 Beta2 short survey - no part 2 - Beta accupations - NO ISCO 1202.01 2012 Lohnspiegel full survey - part 2 included - Annual MANUAL update 1202.02 2012 Lohnspiegel full survey - part 2 included - Annual MANUAL update - WSI questions added 1203.01 2012 Wilite short survey - no part 2 - only required questions 1301.01 2013 Wageindicator full survey - part 2 included - Annual update 1302.01 2013 Lohnspiegel full survey - part 2 included - Annual update - WSI questions added 1303.01 2013 Wilite short survey - no part 2 - only required questions SURVINTV -999 Missing (Mapping not available) SURVLOCA -999 Missing (Mapping not available) 1 Factory / institute 2 Street 3 Home 4 Meeting / congress 5 Other SURVENTR -999 Missing (Mapping not available) SUBMIT -999 Missing (Mapping not available) 0 No 1 Yes TOTALSUBMIT -999 Missing (Mapping not available) 0 No 1 Yes COUNTRY -999 Missing (Mapping not available) 4 Afghanistan 8 Albania 10 Antarctica 12 Algeria 16 Samoa, U.S. 20 Andorra 24 Angola 28 Antigua and Barbuda 31 Azerbaijan 32 Argentina 36 Australia 40 Austria 44 Bahamas 48 Bahrain 50 Bangladesh 51 Armenia 52 Barbados 56 Belgium 60 Bermuda 64 Bhutan 68 Bolivia 70 Bosnia and Herzegovina 72 Botswana 76 Brazil 84 Belize 90 Solomon Islands 92 Virgin Islands, British 96 Brunei 100 Bulgaria


104 Myanmar 108 Burundi 112 Belarus 116 Cambodia 120 Cameroon 124 Canada 132 Cape Verde 136 Cayman Islands 140 Central African Republic 144 Sri Lanka 148 Chad 152 Chile 156 China 158 Taiwan 162 Christmas Island 170 Colombia 174 Comoros 175 Mayotte 178 Congo, Rep. 180 Congo, Dem. Rep. 184 Cook Islands 188 Costa Rica 191 Croatia 192 Cuba 196 Cyprus 203 Czech Republic 204 Benin 208 Denmark 212 Dominica 214 Dominican Republic 218 Ecuador 222 El Salvador 226 Equatorial Guinea 231 Ethiopia 232 Eritrea 233 Estonia 234 Faeroe Islands 238 Falkland Islands 242 Fiji 246 Finland 248 Aland Islands 250 France 254 French Guiana 258 Polynesia 262 Djibouti 266 Gabon 268 Georgia 270 Gambia 275 Palestinian Territories 276 Germany 288 Ghana 292 Gibraltar 296 Kiribati 300 Greece 304 Greenland 308 Grenada 312 Guadeloupe 316 Guam 320 Guatemala 324 Guinea 328 Guyana 332 Haiti 336 Vatican City State 340 Honduras 344 Hong Kong 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq


372 Ireland 376 Israel 380 Italy 384 Cote dIvoire 388 Jamaica 392 Japan 398 Kazakhstan 400 Jordan 404 Kenya 408 Korea, Dem. Rep. 410 Korea, Rep. 414 Kuwait 417 Kyrgyzstan 418 Laos 422 Lebanon 426 Lesotho 428 Latvia 430 Liberia 434 Libya 438 Liechtenstein 440 Lithuania 442 Luxembourg 446 Macao, China 450 Madagascar 454 Malawi 458 Malaysia 462 Maldives 466 Mali 470 Malta 474 Martinique 478 Mauritania 480 Mauritius 484 Mexico 492 Monaco 496 Mongolia 498 Moldova 499 Montenegro 500 Montserrat 504 Morocco 508 Mozambique 512 Oman 516 Namibia 520 Nauru 524 Nepal 528 Netherlands 530 Antilles, Netherlands 531 Curaao > 201207 533 Aruba 534 Sint Maarten (Dutch Part) 535 Bonaire, Sint Eustatius and Saba 540 New Caledonia 548 Vanuatu 554 New Zealand 558 Nicaragua 562 Niger 566 Nigeria 570 Niue 574 Norfolk Island 578 Norway 580 Northern Mariana Islands 583 Micronesia 584 Marshall Islands 585 Palau 586 Pakistan 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 612 Pitcairn 616 Poland


620 Portugal 624 Guinea-Bissau 626 Timor-Leste 630 Puerto Rico 634 Qatar 638 Reunion 642 Romania 643 Russian Federation 646 Rwanda 654 St. Helena 659 St. Kitts and Nevis 660 Anguilla 662 St. Lucia 666 St. Pierre and Miquelon 670 St. Vincent and the Grenadines 674 San Marino 678 Sao Tome and Principe 682 Saudi Arabia 686 Senegal 688 Serbia 690 Seychelles 694 Sierra Leone 702 Singapore 703 Slovakia 704 Vietnam 705 Slovenia 706 Somalia 710 South Africa 716 Zimbabwe 724 Spain 728 South Sudan 729 Sudan 732 Western Sahara 736 Sudan 740 Surinam 748 Swaziland 752 Sweden 756 Switzerland 760 Syrian Arab Republic 762 Tajikistan 764 Thailand 768 Togo 776 Tonga 780 Trinidad and Tobago 784 United Arab Emirates 788 Tunisia 792 Turkey 795 Turkmenistan 796 Turks and Caicos Islands 798 Tuvalu 800 Uganda 804 Ukraine 807 Macedonia 818 Egypt 826 United Kingdom 830 Channel Islands 833 Isle of Man 834 Tanzania 840 United States 850 Virgin Islands (U.S.) 854 Burkina Faso 858 Uruguay 860 Uzbekistan 862 Venezuela 876 Wallis and Futuna Islands 882 Samoa 887 Yemen 891 Serbia 894 Zambia 989 TUR Turkish Republic of Northern Cyprus 998 I dont know


999 Other COUNTRYW -999 Missing (Mapping not available)

4.00 Afghanistan

8.00 Albania 10.00 Antarctica 12.00 Algeria 16.00 Samoa, U.S. 20.00 Andorra 24.00 Angola 28.00 Antigua and Barbuda 31.00 Azerbaijan 32.00 Argentina 36.00 Australia 40.00 Austria 44.00 Bahamas 48.00 Bahrain 50.00 Bangladesh 51.00 Armenia 52.00 Barbados 56.00 Belgium 60.00 Bermuda 64.00 Bhutan 68.00 Bolivia 70.00 Bosnia and Herzegovina 72.00 Botswana 76.00 Brazil 84.00 Belize 90.00 Solomon Islands 92.00 Virgin Islands, British 96.00 Brunei 100.00 Bulgaria 104.00 Myanmar 108.00 Burundi 112.00 Belarus 116.00 Cambodia 120.00 Cameroon 124.00 Canada 132.00 Cape Verde 136.00 Cayman Islands 140.00 Central African Republic 144.00 Sri Lanka 148.00 Chad 152.00 Chile 156.00 China 158.00 Taiwan 162.00 Christmas Island 170.00 Colombia 174.00 Comoros 175.00 Mayotte 178.00 Congo, Rep. 180.00 Congo, Dem. Rep. 184.00 Cook Islands 188.00 Costa Rica 191.00 Croatia 192.00 Cuba 196.00 Cyprus 203.00 Czech Republic 204.00 Benin 208.00 Denmark 212.00 Dominica 214.00 Dominican Republic 218.00 Ecuador 222.00 El Salvador 226.00 Equatorial Guinea 231.00 Ethiopia 232.00 Eritrea 233.00 Estonia 234.00 Faeroe Islands 238.00 Falkland Islands 242.00 Fiji 246.00 Finland


248.00 Aland Islands 250.00 France 254.00 French Guiana 258.00 Polynesia 262.00 Djibouti 266.00 Gabon 268.00 Georgia 270.00 Gambia 275.00 Palestinian Territories 276.00 Germany 288.00 Ghana 292.00 Gibraltar 296.00 Kiribati 300.00 Greece 304.00 Greenland 308.00 Grenada 312.00 Guadeloupe 316.00 Guam 320.00 Guatemala 324.00 Guinea 328.00 Guyana 332.00 Haiti 336.00 Vatican City State 340.00 Honduras 344.00 Hong Kong 348.00 Hungary 352.00 Iceland 356.00 India 360.00 Indonesia 364.00 Iran 368.00 Iraq 372.00 Ireland 376.00 Israel 380.00 Italy 384.00 Cote dIvoire 388.00 Jamaica 392.00 Japan 398.00 Kazakhstan 400.00 Jordan 404.00 Kenya 408.00 Korea, Dem. Rep. 410.00 Korea, Rep. 414.00 Kuwait 417.00 Kyrgyzstan 418.00 Laos 422.00 Lebanon 426.00 Lesotho 428.00 Latvia 430.00 Liberia 434.00 Libya 438.00 Liechtenstein 440.00 Lithuania 442.00 Luxembourg 446.00 Macao, China 450.00 Madagascar 454.00 Malawi 458.00 Malaysia 462.00 Maldives 466.00 Mali 470.00 Malta 474.00 Martinique 478.00 Mauritania 480.00 Mauritius 484.00 Mexico 492.00 Monaco 496.00 Mongolia 498.00 Moldova 499.00 Montenegro 500.00 Montserrat 504.00 Morocco 508.00 Mozambique


512.00 Oman 516.00 Namibia 520.00 Nauru 524.00 Nepal 528.00 Netherlands 530.00 Antilles, Netherlands 531.00 Curaao > 201207 533.00 Aruba 540.00 New Caledonia 548.00 Vanuatu 554.00 New Zealand 558.00 Nicaragua 562.00 Niger 566.00 Nigeria 570.00 Niue 574.00 Norfolk Island 578.00 Norway 580.00 Northern Mariana Islands 583.00 Micronesia 584.00 Marshall Islands 585.00 Palau 586.00 Pakistan 591.00 Panama 598.00 Papua New Guinea 600.00 Paraguay 604.00 Peru 608.00 Philippines 612.00 Pitcairn 616.00 Poland 620.00 Portugal 624.00 Guinea-Bissau 626.00 Timor-Leste 630.00 Puerto Rico 634.00 Qatar 638.00 Reunion 642.00 Romania 643.00 Russian Federation 646.00 Rwanda 654.00 St. Helena 659.00 St. Kitts and Nevis 660.00 Anguilla 662.00 St. Lucia 666.00 St. Pierre and Miquelon 670.00 St. Vincent and the Grenadines 674.00 San Marino 678.00 Sao Tome and Principe 682.00 Saudi Arabia 686.00 Senegal 688.00 Serbia 690.00 Seychelles 694.00 Sierra Leone 702.00 Singapore 703.00 Slovakia 704.00 Vietnam 705.00 Slovenia 706.00 Somalia 710.00 South Africa 716.00 Zimbabwe 724.00 Spain 728.00 South Sudan 729.00 Sudan 732.00 Western Sahara 736.00 Sudan 740.00 Surinam 748.00 Swaziland 752.00 Sweden 756.00 Switzerland 760.00 Syrian Arab Republic 762.00 Tajikistan 764.00 Thailand 768.00 Togo


776.00 Tonga 780.00 Trinidad and Tobago 784.00 United Arab Emirates 788.00 Tunisia 792.00 Turkey 795.00 Turkmenistan 796.00 Turks and Caicos Islands 798.00 Tuvalu 800.00 Uganda 804.00 Ukraine 807.00 Macedonia 818.00 Egypt 826.00 United Kingdom 830.00 Channel Islands 833.00 Isle of Man 834.00 Tanzania 840.00 United States 850.00 Virgin Islands (U.S.) 854.00 Burkina Faso 858.00 Uruguay 860.00 Uzbekistan 862.00 Venezuela 876.00 Wallis and Futuna Islands 882.00 Samoa 887.00 Yemen 891.00 Serbia 894.00 Zambia 989.00 TUR Turkish Republic of Northern Cyprus 998.00 I dont know 999.00 Other WAGEFACT -999 Missing (Mapping not available) CONTSTRO -999 Missing (Mapping not available) 0 (0) never had a job 1 (100) employee 2 (200) selfemployed 3 (300) work without pay 4 (400) unemployed 5 (500) disabled 6 (600) school pupil 7 (700) student 8 (800) apprentice 9 (900) other CONTST -999 Missing (Mapping not available) 1 Never had a job 103 Paid family worker / working for family business 116 Retired 130 In a job creation scheme 131 In military or comparable services 140 Employee 141 Civil servant 142 BRA Salaried employee on the books (with signed work card) 143 BRA Salaried employee off the books (without signed work card) 144 IND Employee / worker (full time) 145 IND Employee / worker (part time) 146 Employee on permanent contract 147 Employee on fixed-term contract 151 BRA School pupil, student in full-time education 152 BRA Self-employed, own-account worker, freelance 153 BRA Family worker / working for family business 154 BRA Unemployed / looking for a job 155 BRA Apprentice, trainee 156 BRA Sickness benefit / incapacity for work 157 BRA Other 201 Self-employed with personnel 202 Self-employed, own-account worker, freelance 204 POL Free from task 205 POL Contract by results 306 Working without pay (family business or farm) 307 Unpaid voluntary worker 308 Housework 400 Unemployed


410 Looking for a job / unemployed 515 Sickness benefit / incapacity for work 620 School pupil 720 Student in full-time education 825 Apprentice 916 Retired 950 Other nrofjob1 -999 Missing (Mapping not available) 0 No 1 Yes contstno -999 Missing (Mapping not available) 0 No 1 Yes contstla -999 Missing (Mapping not available) 1 Never had a job 40 Employee 103 Paid family worker / working for family business 140 Employee 146 Employee on permanent contract 147 Employee on fixed-term contract 202 Self-employed 307 Working without pay 308 Housework 825 Apprentice 950 Other monojob -999 Missing (Mapping not available) 1 January 2 February 3 March 4 April 5 May 6 June 7 July 8 August 9 September 10 October 11 November 12 December yynojob -999 Missing (Mapping not available) nrofjobs -999 Missing (Mapping not available) 1 One job 2 Two or more jobs 3 Two jobs 4 Three or more jobs controth -999 Missing (Mapping not available) 0 No 1 Yes, I am a temporary agency worker 2 Yes, I am a posted worker 3 Yes, other 4 Yes, I am posted by my employer 5 No, I am on secondment 6 Yes, I am working for a labour contractor 7 Yes, I am working in a labour pool REGIHOM1 -999 Missing (Mapping not available) 23101000 ETH Addis Abeba 23102000 ETH Afar 23103000 ETH Amhara 23104000 ETH Benishangul-Gumuz 23105000 ETH Diredawa 23106000 ETH Gambela 23107000 ETH Harari 23108000 ETH Oromia 23109000 ETH Somali 23110000 ETH Southern 23111000 ETH Tigray 23199000 ETH Abroad 204010000 BEN Alibori 204020000 BEN Atacora 204030000 BEN Atlantique 204040000 BEN Borgou 204050000 BEN Collines


204060000 BEN Couffo 204070000 BEN Donga 204080000 BEN Littoral 204090000 BEN Mono 204100000 BEN Oueme 204110000 BEN Plateau 204120000 BEN Zou 204990000 BEN Abroad 240100000 AGO Bengo 240200000 AGO Benguela 240300000 AGO Bie 240400000 AGO Cabinda 240500000 AGO Cuando-Cubango 240600000 AGO Cuanza-Norte 240700000 AGO Cuanza-Sul 240800000 AGO Cunene 240900000 AGO Huambo 241000000 AGO Huila 241100000 AGO Luanda 241200000 AGO Lunda Norte 241300000 AGO Lunda Sul 241400000 AGO Malanje 241500000 AGO Moxico 241600000 AGO Namibe 241700000 AGO Uige 241800000 AGO Zaire 310100000 AZE Absheron 310200000 AZE Aran 310300000 AZE Baku 310400000 AZE Yukhari-Karabakh 310500000 AZE Dagliq Shirvan 310600000 AZE Quba-Khachmaz 310700000 AZE Ganja-Qazakh 310800000 AZE Kalbajar-Lachin 310900000 AZE Lankaran 311000000 AZE Nagorno Karabakh 311100000 AZE Nakhchivan Autonomous Republic 311200000 AZE Sheki-Zaqatala 319900000 AZE Abroad 320100000 ARG City of Buenos Aires 320200000 ARG Province of Buenos Aires 320300000 ARG Cordoba 320400000 ARG Santa Fe 320500000 ARG Mendoza 320600000 ARG San Juan 320700000 ARG Santiago del Estero 320800000 ARG Chaco 320900000 ARG Corrientes 321000000 ARG Salta 321100000 ARG Tucuman 321200000 ARG Catamarca 321300000 ARG La Rioja 321400000 ARG San Luis 321500000 ARG La Pampa 321600000 ARG Neuquen 321700000 ARG Rio Negro 321800000 ARG Chubut 321900000 ARG Santa Cruz 322000000 ARG Entre Rios 322100000 ARG Misiones 322200000 ARG Formosa 322300000 ARG Jujuy 322400000 ARG Tierra del Fuego 360100000 AUS Australian Capital Territory 360200000 AUS New South Wales 360300000 AUS Northern Territory 360400000 AUS South Australia 360500000 AUS Tasmania 360600000 AUS Victoria 360700000 AUS Queensland 360800000 AUS Western Australia


360900000 AUS External territory 401100000 AUT Burgenland 401200000 AUT Niederosterreich 401300000 AUT Wien 402100000 AUT Karnten 402200000 AUT Steiermark 403100000 AUT Oberosterreich 403200000 AUT Salzburg 403300000 AUT Tirol 403400000 AUT Vorarlberg 510010000 ARM Shirak 510020000 ARM Lori 510030000 ARM Tavush 510040000 ARM Aragatsotn 510050000 ARM Kotayk 510060000 ARM Gegharkunik 510070000 ARM Yerevan 510080000 ARM Armavir 510090000 ARM Ararat 510100000 ARM Vayotz Dzor 510110000 ARM Syunik 561000000 BEL Brussels Capital Area 562100000 BEL Prov Antwerpen 562200000 BEL Prov Limburg 562300000 BEL Prov Oost-Vlaanderen 562400000 BEL Prov Vlaams-Brabant 562500000 BEL Prov West-Vlaanderen 563100000 BEL Prov Brabant wallon 563200000 BEL Prov Hainaut 563300000 BEL Prov Liege 563400000 BEL Prov Luxembourg 563500000 BEL Prov Namur 569900000 BEL Abroad 720010000 BWA Central District 720030000 BWA Ghanzi District 720040000 BWA Kgalagadi District 720050000 BWA Kgatleng District 720060000 BWA Kweneng District 720070000 BWA North-West District 720080000 BWA North-East District 720090000 BWA South-East District 720100000 BWA Southern District 761100000 BRA Distrito Federal 761200000 BRA Goias 761300000 BRA Mato Grosso 761400000 BRA Mato Grosso do Sul 762100000 BRA Alagoas 762200000 BRA Bahia 762300000 BRA Ceara 762400000 BRA Maranhao 762500000 BRA Paraba 762600000 BRA Pernambuco 762700000 BRA Piau 762800000 BRA Rio Grande do Norte 762900000 BRA Sergipe 763100000 BRA Acre 763200000 BRA Amapa 763300000 BRA Amazonas 763400000 BRA Para 763500000 BRA Rondonia 763600000 BRA Roraima 763700000 BRA Tocantins 764100000 BRA Esprito Santo 764200000 BRA Minas Gerais 764300000 BRA Rio de Janeiro 764400000 BRA Sao Paulo 765100000 BRA Parana 765200000 BRA Rio Grande do Sul 765300000 BRA Santa Catarina 1003110000 BGR Vidin 1003120000 BGR Montana


1003130000 BGR Vraca 1003140000 BGR Pleven 1003150000 BGR Lovech 1003210000 BGR Veliko Tarnovo 1003220000 BGR Gabrovo 1003230000 BGR Ruse 1003240000 BGR Razgrad 1003250000 BGR Silistra 1003310000 BGR Varna 1003320000 BGR Dobrich 1003330000 BGR Sumen 1003340000 BGR Targoviste 1003410000 BGR Burgas 1003420000 BGR Sliven 1003430000 BGR Yambol 1003440000 BGR Stara Zagora 1004110000 BGR Sofia City 1004120000 BGR Sofia Province 1004130000 BGR Blagoevgrad 1004140000 BGR Pernik 1004150000 BGR Kyustendil 1004210000 BGR Plovdiv 1004220000 BGR Haskovo 1004230000 BGR Pazardzhik 1004240000 BGR Smoljan 1004250000 BGR Kardzhali 1080100000 BDI Bujumbura 1080200000 BDI Bubanza 1080300000 BDI Bururi 1080400000 BDI Cankuzo 1080500000 BDI Cibitoke 1080600000 BDI Gitega 1080700000 BDI Karuzi 1080800000 BDI Kayanza 1080900000 BDI Kirundo 1081000000 BDI Makamba 1081100000 BDI Muramvya 1081200000 BDI Muyinga 1081300000 BDI Mwaro 1081400000 BDI Ngozi 1081500000 BDI Rutana 1081600000 BDI Ruyigi 1089900000 BDI Abroad 1120010000 BLR Brest 1120020000 BLR Vitebsk 1120030000 BLR Gomel 1120040000 BLR Grodno 1120050000 BLR Minsk-City 1120060000 BLR Minsk 1120070000 BLR Mogilev 1129900000 BLR Abroad 1160100000 KHM Banteay Meanchey 1160200000 KHM Battambang 1160300000 KHM Kampong Cham 1160400000 KHM Kampong Chhnang 1160500000 KHM Kampong Speu 1160600000 KHM Kampong Thom 1160700000 KHM Kampot 1160800000 KHM Kandal 1160900000 KHM Kep (Krong Keb) 1161000000 KHM Koh Kong 1161100000 KHM Kratie (Kracheh) 1161200000 KHM Mondul Kiri 1161300000 KHM Oddar Meanchey 1161400000 KHM Pailin 1161500000 KHM Phnom Penh 1161600000 KHM Preah Vihear 1161700000 KHM Prey Veng 1161800000 KHM Pursat 1161900000 KHM Ratanak Kiri 1162000000 KHM Siem Reap


1162100000 KHM Sihanoukville (Preah Sihanouk) 1162200000 KHM Stung Treng 1162300000 KHM Svay Rieng 1162400000 KHM Takeo 1169990000 KHM Abroad 1200100000 CMR Adamawa 1200200000 CMR Centre 1200300000 CMR East 1200400000 CMR Far North 1200500000 CMR Littoral 1200600000 CMR North 1200700000 CMR Northwest 1200800000 CMR South 1200900000 CMR Southwest 1201000000 CMR West 1240100000 CAN Alberta 1240200000 CAN British Columbia 1240300000 CAN Manitoba 1240400000 CAN New Brunswick 1240500000 CAN Newfoundland and Labrador 1240600000 CAN Northwest Territories 1240700000 CAN Nova Scotia 1240800000 CAN Nunavut 1240900000 CAN Ontario 1241000000 CAN Prince Edward island 1241100000 CAN Quebec 1241200000 CAN Saskatchewan 1241300000 CAN Yukon 1440100000 LKA Ampara 1440200000 LKA Anuradhapura 1440300000 LKA Badulla 1440400000 LKA Batticaloa 1440500000 LKA Colombo 1440600000 LKA Galle 1440700000 LKA Gampaha 1440800000 LKA Hambantota 1440900000 LKA Jaffna 1441000000 LKA Kalutara 1441100000 LKA Kandy 1441200000 LKA Kegalle 1441300000 LKA Kilinochchi 1441400000 LKA Kurunegala 1441500000 LKA Mannar 1441600000 LKA Matale 1441700000 LKA Matara 1441800000 LKA Moneragala 1441900000 LKA Mullaitivu 1442000000 LKA Nuwara Eliya 1442100000 LKA Polonnaruwa 1442200000 LKA Puttalam 1442300000 LKA Ratnapura 1442400000 LKA Trincomalee 1442500000 LKA Vavuniya 1449900000 LKA Abroad 1520100000 CHL Antofagasta 1520200000 CHL Atacama 1520300000 CHL Araucania 1520400000 CHL Arica y Parinacota 1520500000 CHL Aysen 1520600000 CHL Bio - Bio 1520700000 CHL Coquimbo 1520800000 CHL De los Lagos 1520900000 CHL De los Rios 1521000000 CHL Libertador general Bernardo o Higgins 1521100000 CHL Maule 1521200000 CHL Magallanes y la Antartica Chilena 1521300000 CHL Metropolitana 1521400000 CHL Tarapaca 1521500000 CHL Valparaiso 1529900000 CHL Abroad 1560110000 CHN Heilongjiang Province


1560120000 CHN Jilin Province 1560130000 CHN Liaoning Province 1560210000 CHN inner Mongolia Autonomous Region 1560220000 CHN Shanxi Province 1560230000 CHN Tianjin 1560240000 CHN Beijing 1560250000 CHN Hebei Province 1560310000 CHN Henan Province 1560320000 CHN Hubei Province 1560330000 CHN Anhui Province 1560340000 CHN Hunan Province 1560350000 CHN Jiangxi Province 1560410000 CHN Guangdong Province 1560420000 CHN Guanxi Zhuang Automonou Region 1560430000 CHN Hainan Province 1560510000 CHN Shandong Province 1560520000 CHN Jiangsu Province 1560530000 CHN Zhejiang Province 1560540000 CHN Fujian Province 1560550000 CHN Shanghai 1560610000 CHN Guizhou Province 1560620000 CHN Sichuang Province 1560630000 CHN Chongqing 1560640000 CHN Yunnan Province 1560650000 CHN Tibetan Autonomous Region 1560710000 CHN Shaanxi Province 1560720000 CHN Gansu Province 1560730000 CHN Ningxia Hui Automonous Region 1560740000 CHN Qinghai Province 1560750000 CHN Xinjiang Uygur Autonomous Region 1560810000 CHN Hong Kong 1560820000 CHN Macau 1560830000 CHN Taiwan 1700010000 COL Bogota, Distrito Capital 1700020000 COL Antioquia 1700030000 COL Valle del Cauca 1700040000 COL Cundinamarca 1700050000 COL Atlantico 1700060000 COL Santander 1700070000 COL Bolivar 1700080000 COL Narino 1700090000 COL Cordoba 1700100000 COL Tolima 1700110000 COL Cauca 1700120000 COL Boyaca 1700130000 COL Norte de Santander 1700140000 COL Magdalena 1700150000 COL Huila 1700160000 COL Caldas 1700170000 COL Cesar 1700180000 COL Risaralda 1700190000 COL Meta 1700200000 COL Sucre 1700210000 COL La Guajira 1700220000 COL Quindio 1700230000 COL Choco 1700240000 COL Caqueta 1700250000 COL Putumayo 1700260000 COL Casanare 1700270000 COL Arauca 1700280000 COL Guaviare 1700290000 COL San Andres y Providencia 1700300000 COL Amazonas 1700310000 COL Vichada 1700320000 COL Vaupes 1700330000 COL Guainia 1880100000 CRi Alajuela 1880200000 CRi Cartago 1880300000 CRi Guanacaste 1880400000 CRi Heredia 1880500000 CRi Limon


1880600000 CRi Puntarenas 1880700000 CRi San Jose 1889900000 CRi Abroad 2030100000 CZE District Benesov 2030200000 CZE District Beroun 2030300000 CZE District Blansko 2030400000 CZE District Breclav 2030500000 CZE District Brno 2030600000 CZE District Bruntal 2030700000 CZE District Ceska Lipa 2030800000 CZE District Ceske Budejovice 2030900000 CZE District Cesky Krumlov 2031000000 CZE District Cheb 2031100000 CZE District Chomutov 2031200000 CZE District Chrudim 2031300000 CZE District Decin 2031400000 CZE District Domazlice 2031500000 CZE District Havlickuv Brod 2031600000 CZE District Hodonin 2031700000 CZE District Hradec Kralove 2031800000 CZE District Jablonec nad Nisou 2031900000 CZE District Jesenik 2032000000 CZE District Jicin 2032100000 CZE District Jihlava 2032200000 CZE District Jindrichuv Hradec 2032300000 CZE District Karlovy Vary 2032400000 CZE District Karvina 2032500000 CZE District Kladno 2032600000 CZE District Klatovy 2032700000 CZE District Kolin 2032800000 CZE District Kromeriz 2032900000 CZE District Kutna Hora 2033000000 CZE District Liberec 2033100000 CZE District Litomerice 2033200000 CZE District Louny 2033300000 CZE District Melnik 2033400000 CZE District Mlada Boleslav 2033500000 CZE District Most 2033600000 CZE District Nachod 2033700000 CZE District Novy Jicin 2033800000 CZE District Nymburk 2033900000 CZE District Olomouc 2034000000 CZE District Opava 2034100000 CZE District Ostrava 2034200000 CZE District Pardubice 2034300000 CZE District Pelhrimov 2034400000 CZE District Pisek 2034500000 CZE District Plzen 2034600000 CZE District Prachatice 2034700000 CZE District Praha 2034800000 CZE District Prerov 2034900000 CZE District Pribram 2035000000 CZE District Prostejov 2035100000 CZE District Rakovnik 2035200000 CZE District Rokycany 2035300000 CZE District Rychnov nad Kneznou 2035400000 CZE District Semily 2035500000 CZE District Sokolov 2035600000 CZE District Strakonice 2035700000 CZE District sumperk 2035800000 CZE District Svitavy 2035900000 CZE District Tabor 2036000000 CZE District Tachov 2036100000 CZE District Teplice 2036200000 CZE District Trebic 2036300000 CZE District Trutnov 2036400000 CZE District Uherske Hradiste 2036500000 CZE District Usti nad Labem 2036600000 CZE District Usti nad Orlici 2036700000 CZE District Vsetin 2036800000 CZE District Vyskov


2036900000 CZE District Zdar nad Sazavou 2037000000 CZE District Zlin 2037100000 CZE District Znojmo 2037200000 CZE District Frydek-Mistek 2039900000 CZE Abroad 2040100000 BEN Alibori 2040200000 BEN Atacora 2040300000 BEN Atlantique 2040400000 BEN Borgou 2040500000 BEN Collines 2040600000 BEN Couffo 2040700000 BEN Donga 2040800000 BEN Littoral 2040900000 BEN Mono 2041000000 BEN Oueme 2041100000 BEN Plateau 2041200000 BEN Zou 2049900000 BEN Abroad 2080110000 DNK Capital region 2080120000 DNK Bornholm 2080130000 DNK Zealand 2080320000 DNK South Denmark 2080420000 DNK Mid-Jutland 2080500000 DNK North-Jutland 2089990000 DNK Abroad 2220100000 SLV Ahuachapan 2220200000 SLV Cabanas 2220300000 SLV Chalatenango 2220400000 SLV Cuscatlan 2220500000 SLV La Libertad 2220600000 SLV La Paz 2220700000 SLV La Union 2220800000 SLV Morazan 2220900000 SLV San Miguel 2221000000 SLV San Salvador 2221100000 SLV San Vicente 2221200000 SLV Santa Ana 2221300000 SLV Sonsonate 2221400000 SLV Usulutan 2229900000 SLV Abroad 2310100000 ETH Addis Abeba 2310200000 ETH Afar 2310300000 ETH Amhara 2310400000 ETH Benishangul-Gumuz 2310500000 ETH Diredawa 2310600000 ETH Gambela 2310700000 ETH Harari 2310800000 ETH Oromia 2310900000 ETH Somali 2311000000 ETH Southern 2311100000 ETH Tigray 2319900000 ETH Abroad 2330010000 EST Valga County 2330020000 EST Viljandi County 2330030000 EST Voru County 2330040000 EST ida-Viru County 2330050000 EST Jogeva County 2330060000 EST Laane-Viru County 2330070000 EST Laane County 2330080000 EST Polva County 2330090000 EST Parnu County 2330100000 EST Rapla County 2330110000 EST Saare County 2330120000 EST Tartu County 2330130000 EST Harju County 2330140000 EST Hiiu County 2330150000 EST Jarva County 2460100000 FiN Uusimaa 2460200000 FiN Varsinais-Suomi 2460400000 FiN Satakunta 2460500000 FiN Kanta-Hame


2460600000 FiN Pirkanmaa 2460700000 FiN Paijat-Hame 2460800000 FiN Kymenlaakso 2460900000 FiN Etela-Karjala 2461100000 FiN Pohjois-Savo 2461200000 FiN Pohjois-Karjala 2461300000 FiN Keski-Suomi 2461310000 FiN Etela-Savo 2461400000 FiN Etela-Pohjanmaa 2461500000 FiN Pohjanmaa 2461600000 FiN Keski-Pohjanmaa 2461700000 FiN Pohjois-Pohjanmaa 2461800000 FiN Kainuu 2461900000 FiN Lappi 2462000000 FiN ita-Uusimaa 2462100000 FiN Aland 2469990000 FiN Abroad 2501010000 FRA Paris 2501020000 FRA Seine-et-Marne 2501030000 FRA Yvelines 2501040000 FRA Essonne 2501050000 FRA Hauts-de-Seine 2501060000 FRA Seine-Saint-Denis 2501070000 FRA Val-de-Marne 2501080000 FRA Val-d Oise 2502110000 FRA Ardennes 2502120000 FRA Aube 2502130000 FRA Marne 2502140000 FRA Haute-Marne 2502210000 FRA Aisne 2502220000 FRA Oise 2502230000 FRA Somme 2502310000 FRA Eure 2502320000 FRA Seine-Maritime 2502410000 FRA Cher 2502420000 FRA Eure-et-Loir 2502430000 FRA indre 2502440000 FRA indre-et-Loire 2502450000 FRA Loir-et-Cher 2502460000 FRA Loiret 2502510000 FRA Calvados 2502520000 FRA Manche 2502530000 FRA Orne 2502610000 FRA Cote-d Or 2502620000 FRA Nievre 2502630000 FRA Saone-et-Loire 2502640000 FRA Yonne 2503010000 FRA Nord 2503020000 FRA Pas-de-Calais 2504110000 FRA Meurthe-et-Moselle 2504120000 FRA Meuse 2504130000 FRA Moselle 2504140000 FRA Vosges 2504210000 FRA Bas-Rhin 2504220000 FRA Haut-Rhin 2504310000 FRA Doubs 2504320000 FRA Jura 2504330000 FRA Haute-Saone 2504340000 FRA Territoire de Belfort 2505110000 FRA Loire-Atlantique 2505120000 FRA Maine-et-Loire 2505130000 FRA Mayenne 2505140000 FRA Sarthe 2505150000 FRA Vendee 2505210000 FRA Cotes-d Armor 2505220000 FRA Finistere 2505230000 FRA ille-et-Vilaine 2505240000 FRA Morbihan 2505310000 FRA Charente 2505320000 FRA Charente-Maritime 2505330000 FRA Deux-Sevres


2505340000 FRA Vienne 2506110000 FRA Dordogne 2506120000 FRA Gironde 2506130000 FRA Landes 2506140000 FRA Lot-et-Garonne 2506150000 FRA Pyrenees-Atlantiques 2506210000 FRA Ariege 2506220000 FRA Aveyron 2506230000 FRA Haute-Garonne 2506240000 FRA Gers 2506250000 FRA Lot 2506260000 FRA Hautes-Pyrenees 2506270000 FRA Tarn 2506280000 FRA Tarn-et-Garonne 2506310000 FRA Correze 2506320000 FRA Creuse 2506330000 FRA Haute-Vienne 2507110000 FRA Ain 2507120000 FRA Ardeche 2507130000 FRA Drome 2507140000 FRA isere 2507150000 FRA Loire 2507160000 FRA Rhone 2507170000 FRA Savoie 2507180000 FRA Haute-Savoie 2507210000 FRA Allier 2507220000 FRA Cantal 2507230000 FRA Haute-Loire 2507240000 FRA Puy-de-Dome 2508110000 FRA Aude 2508120000 FRA Gard 2508130000 FRA Herault 2508140000 FRA Lozere 2508150000 FRA Pyrenees-Atlantiques 2508210000 FRA Alpes-de-Haute-Provence 2508220000 FRA Hautes-Alpes 2508230000 FRA Alpes-Maritimes 2508240000 FRA Bouches-du-Rhone 2508250000 FRA Var 2508260000 FRA Vaucluse 2508310000 FRA Corse-du-Sud 2508320000 FRA Haute-Corse 2509000000 FRA Overseas Departements 2509300000 FRA Overseas Departements Guyane 2509900000 FRA Abroad 2760100000 DEU Nordrhein-Westfalen 2760200000 DEU Rheinland-Pfalz 2760300000 DEU Saarland 2760400000 DEU Sachsen 2760500000 DEU Sachsen-Anhalt 2760600000 DEU Schleswig-Holstein 2760700000 DEU Thuringen 2761000000 DEU Baden-Wurttemberg 2762000000 DEU Bayern 2763000000 DEU Berlin 2764000000 DEU Brandenburg 2765000000 DEU Bremen 2767100000 DEU Hessen 2768000000 DEU Mecklenburg-Vorpommern 2768100000 DEU Niedersachsen 2769000000 DEU Hamburg 2769990000 DEU Abroad 2860010000 GEO Tbilisi 2860020000 GEO Guria 2860030000 GEO imereti 2860040000 GEO Kakheti 2860050000 GEO Mtskheta-Mtianeti 2860060000 GEO Kvemo Svaneti, Racha Lechkumi 2860070000 GEO Samegrelo-Zemo Svaneti 2860080000 GEO Samtskhe-Javakheti 2860090000 GEO Kvemo Kartli


2860100000 GEO Shida Kartli 2860110000 GEO Adjara Atonomous Region 2860120000 GEO Abchazia 2869900000 GEO Abroad 2880100000 GHA Greater Accra 2880200000 GHA Ashanti 2880300000 GHA Brong Ahafo 2880400000 GHA Central 2880500000 GHA Eastern 2880600000 GHA Northern 2880700000 GHA Upper East 2880800000 GHA Upper West 2880900000 GHA Volta 2881000000 GHA Western 2889990000 GHA Abroad 3000100000 GRC Eastern Macedonia-Thrace 3000200000 GRC Central Macedonia 3000300000 GRC Western Macedonia 3000400000 GRC Epirus 3000500000 GRC Thessaly 3000600000 GRC ionian islands 3000700000 GRC Western Greece 3000800000 GRC Central Greece 3000900000 GRC Attica 3001000000 GRC Peloponnese 3001100000 GRC Northen Aegean 3001200000 GRC Southern Aegean 3001300000 GRC Crete 3200100000 GTM Alta Verapaz 3200200000 GTM Baja Verapaz 3200300000 GTM Chimaltenango 3200400000 GTM Chiquimula 3200500000 GTM El Progreso 3200600000 GTM Escuintla 3200700000 GTM Huehuetenango 3200800000 GTM izabal 3200900000 GTM Jalapa 3201100000 GTM Peten 3201200000 GTM Quetzaltenango 3201300000 GTM Sacatepequez 3201400000 GTM Quiche 3201500000 GTM San Marcos 3201700000 GTM Solola 3201800000 GTM Santa Rosa 3201900000 GTM Totonicapan 3202100000 GTM Zacapa 3202200000 GTM Guatemala 3202300000 GTM Jutiapa 3202400000 GTM Retalhuleu 3209900000 GTM Abroad 3240100000 GIN Boke 3240200000 GIN Conakry 3240300000 GIN Faranah 3240400000 GIN Kankan 3240500000 GIN Kindia 3240600000 GIN Labe 3240700000 GIN Mamou 3240800000 GIN Nzerekore 3249900000 GIN Abroad 3400100000 HND Atlantida 3400200000 HND Choluteca 3400300000 HND Colon 3400400000 HND Comayagua 3400500000 HND Copan 3400600000 HND Cortes 3400700000 HND El Paraiso 3400800000 HND Francisco Morazan 3400900000 HND Gracias a Dios 3401000000 HND intibuca 3401100000 HND islas de la Bahia 3401200000 HND La Paz


3401300000 HND Lempira 3401400000 HND Ocotepeque 3401500000 HND Olancho 3401600000 HND Santa Barbara 3401700000 HND Valle 3401800000 HND Yoro 3409900000 HND Abroad 3480110000 HUN Budapest 3480120000 HUN Pest 3480210000 HUN Fejer 3480220000 HUN Komarom-Esztergom 3480230000 HUN Veszprem 3480310000 HUN Gyor-Moson-Sopron 3480320000 HUN Vas 3480330000 HUN Zala 3480410000 HUN Baranya 3480420000 HUN Somogy 3480430000 HUN Tolna 3480510000 HUN Borsod-Abauj-Zemplen 3480520000 HUN Heves 3480530000 HUN Nograd 3480610000 HUN Hajdu-Bihar 3480620000 HUN Jasz-Nagykun-Szolnok 3480630000 HUN Szabolcs-Szatmar-Bereg 3480710000 HUN Bacs-Kiskun 3480720000 HUN Bekes 3480730000 HUN Csongrad 3489900000 HUN Abroad 3560100000 iND Andaman and Nicobar islands (U) 3560200000 iND Andhra Pradesh 3560300000 iND Arunachal Pradesh 3560400000 iND Assam 3560500000 iND Bihar 3560600000 iND Chandigarh (U) 3560700000 iND Chhattisgarh 3560800000 iND Dadra and Nagar Haveli (U) 3560900000 iND Daman and Diu (U) 3561000000 iND Delhi 3561100000 iND Goa 3561200000 iND Gujarat 3561300000 iND Haryana 3561400000 iND Himachal Pradesh 3561500000 iND Jammu and Kashmir 3561600000 iND Jharkhand 3561700000 iND Karnataka 3561800000 iND Kerala 3561900000 iND Lakshadweep (U) 3562000000 iND Madhya Pradesh 3562100000 iND Maharashtra 3562200000 iND Manipur 3562300000 iND Meghalaya 3562400000 iND Mizoram 3562500000 iND Nagaland 3562600000 iND Orissa 3562700000 iND Puducherry (Pondicherry) 3562800000 iND Punjab 3562900000 iND Rajasthan 3563000000 iND Sikkim 3563100000 iND Tamil Nadu 3563200000 iND Tripura 3563300000 iND Uttarakhand 3563400000 iND Uttar Pradesh 3563500000 i

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