Generations and Gender Survey Poland Wave 1 · Generacje, rodziny i plec kulturowa (GGS-PL) Overview Identification GGSW1.26 Abstract The Generations and Gender Survey (GGS) provides

Poland

Janina Józwiak, Institute of Statistics andDemography, Warsaw School of Economics (ISD WSE)

Irena E.Kotowska, Institute of Statistics andDemography, Warsaw School of Economics (ISD WSE)

Generations and Gender Survey Poland Wave 1

Study Documentation

April 23, 2015

Metadata ProductionVersion Working Version: GGS Wave 1 Version 4.2.

Update of WAVE 1 variable categories and documentations toghether with the first release ofCzech Republic Wave 1.The update was necessary to account for Czech country specificities.

Information about response rates (final disposition codes according to AAPOR standards) will beprovided in forthcoming weeks.

Identification GGSW1.26

Table of ContentsOverview............................................................................................................................................................. 4Scope & Coverage.............................................................................................................................................. 4Producers & Sponsors.........................................................................................................................................4Sampling..............................................................................................................................................................5Data Collection....................................................................................................................................................5Data Processing & Appraisal..............................................................................................................................7Accessibility........................................................................................................................................................ 7Rights & Disclaimer........................................................................................................................................... 7Files Description................................................................................................................................................. 8

GGS_Wave1_Poland_V.4.2............................................................................................................8Variables List.................................................................................................................................................... 10

GGS_Wave1_Poland_V.4.2..........................................................................................................10Variables Description........................................................................................................................................60

GGS_Wave1_Poland_V.4.2..........................................................................................................61

Generations and Gender Survey Poland Wave 1 - Overview

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Generations and Gender Survey Poland Wave 1 (GGS Poland Wave 1)Generacje, rodziny i plec kulturowa (GGS-PL)

Overview

Identification GGSW1.26

AbstractThe Generations and Gender Survey (GGS) provides micro-level data with the aim of significantly improving the knowledgebase for social science and policymaking in Europe and developed countries elsewhere.In Europe 2020, the European Union develops a strategy "to help us come out stronger from the crisis and turn the EUinto a smart, sustainable and inclusive economy delivering high levels of employment, productivity and social cohesion".The economic crisis affects not only day-to-day decisions, but also fundamental choices at all stages of people's lives:marriage and childbearing, the combination of employment and caring responsibilities for the young and the old, retirement,housing, and ageing well. The GGS has been developed to provide scientists with high-quality data to contribute scientificallygrounded answers to these key policy questions. Survey content focuses on intergenerational and gender relations betweenpeople, expressed in care arrangements and the organization of paid and unpaid work. Key feature of the survey are:- Cross-national comparability. In each country data is collected on the basis of a common international questionnaire andguidelines about the methodology. Data processing includes central harmonization of national datasets.- A broad age range. It includes respondents between the ages of 18 and 80.- A longitudinal design. It has a panel design, collecting information on the same persons at three-year intervals.- A large sample size. It has an average of 9,000 respondents per country at Wave 1.- A theory-driven and multidisciplinary questionnaire. It provides data for policy relevant research by demographers,economists, sociologists, social policy researchers, social psychologists and epidemiologists. The questionnaire is inspired bythe theory of planned behavior.- Possibility to combine the survey data with macro data provided by the GGP Contextual Database. This combinationenables analyses of individuals and families in their cultural, economic, political, social and policy contexts.

Kind of Data Survey data

Unit of Analysis Individuals

Scope & Coverage

Keywords Fertility, Partnership, Transition to adulthood, Work-family balance, Gender relations,Intergenerational exchanges, Informal and formal care, Well-being and health, Grandparenthood,Economic activity, Retirement

Time Period(s) 2010-2011

Countries Poland

Geographic CoverageThe whole terrotory of Poland.

UniversePolish speaking persons aged 18-79 (at the moment of survey), living in private households in Poland.

Producers & Sponsors

PrimaryInvestigator(s)

Janina Józwiak, Institute of Statistics and Demography, Warsaw School of Economics (ISD WSE)Irena E.Kotowska, Institute of Statistics and Demography, Warsaw School of Economics (ISDWSE)

Other Producer(s) Janina Józwiak (ISD WSE) , Institute of Statistics and Demography, Warsaw School of Economics ,Project leader


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Irena E.Kotowska (ISD WSE) , Institute of Statistics and Demography, Warsaw School ofEconomics , Project coordinator

Funding Agency/ies Ministry of Science and High Education

Sampling

Sampling Procedure1. Sampling frame1.1 Type of frame: Dwelling list from the National Official Register of Territorial Division of the Country (TERYT).1.2 Frame coverage: Whole population of territory of Poland.1.3 Frame size: 3798 units of territorial division.1.4 Level of units available: Dwellings.

2. Sampling method2.1 Sampling method type: The sample has been drawn using a two-stage sampling design. The sample size for voivodeshipswere established using the square root method. In voivodeships stratified sampling was used. The stratas were: municipalities(gminas), cities or districts (e.g. in Warsaw). The first-stage sampling units were enumeration census areas (about 4000),while at the second stage dwellings were selected (on average 5 by enumaration census area).2.2 Sampling stage definition- PSU: Enumeration census areas.- SSU: Dwellings.- TSU: NA.2.3 Sampling stage size- PSU: 4,000.- SSU: 20,000.- TSU: NA.2.4 Unit selection: Simple Random Sampling (SRS).2.5 Final stage unit selection: Simple Random Sampling (SRS).2.6 Within household unit selection: Last birthday method.2.7 Stratification: NA2.8 Sample size- Starting size sample: One basic sample of 20,000 addresses and two additional samlples of 20,000 addresses.- Aimed total size at Wave 1: 20,000 respondents.- Aimed total size at Wave 3: none2.9 Estimated Non-response- Yearly attrition: None: the yearly attrition was not estimated.- Non response measures: Oversampling (in order to have aimed sample size one main sample and two additional sampleswere selected of 20,000 addresses).- Within household non-response measures: None, the household was marked as non-response.

WeightingThe weights based on current estimates of the population structures have been prepared by a person from the CSO involvedin the regular surveys run by the CSO. In general, the applied formulas take into account: a probability of dwelling selection,coverage of the survey by voivodship and class of locality, use of the additional samples, and demographic characteristicsof the population in private households. Since the population census of 2011 delivers data for new estimates of populationstructures, the weights proposed should be considered as preliminary ones. Calculation of new weights is conditioned on anavailability of the population census results.

Variable aweight will be provided in later update of the dataset.

Data Collection

Data Collection Dates Wave 1: start 2010-10-20Wave 1: end 2011-02-28


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Data Collection Mode Method: Face-to-faceTechnique: PAPI

Data Collection Notes1. Interviewers1.1 Total number of interviewers: DK1.2 Number of interviewers in the field: DK1.3 Network organization: Field coordinators designated by the Center of field studies of the Polish Statistical Association,which was responsible for the field work.1.4 Working arrangement of interviewers: Fully employed (professional interviewers) working for the Central StatisticalOffice.1.5 Payment of interviewers: Paid per interview.

2. Interviewer training:2.1 General interviewing: Coordinators of the field study and selected Interviewers were already trained in generalinterviewing techniques: interviewing techniques, appointments taking and general knowledge on surveys carried out byCSO.2.2 Survey specific: In July 2010, professional regional trainers of CSO were trained centrally in GGS specific issues andthen trained other interviewers in each region of Poland.2.3 Length: General training: 1 day + contacts during the pilot survey, next the pilot survey report was prepared and sent tothe coordinators.2.4 Control of performance: Checking the filled out of questionnaires, FAQ was active during the field work.2.5 Interviewer survey: Yes. It contained mainly questions concerning the conditions in which the interview was conducted(e.g. the way of filling in the questionnaire, the presence of other persons, their possible influence on answers received, thegeneral attitude of the respondent).

3. Contact protocols3.1 Advance letter: Each household selected in the sample received an advanced letter with a description of the survey, theagencies involved in the survey, the future use of the data, etc. The household was also invited to visit the survey website(http://www.sgh.waw.pl/instytuty/isd/badania/ggs-pl/) to find more information about the survey and the project.3.2 Cold contacts: Face-to-Face3.3 Scheduling / scattering: In the case of short-term absence of the selected respondent, the interview could have beenpostponed to the next date. In case of long term absence of the selected repondent, the interview could not be completed andthis fact was classified as non-response.3.4 Contact history: No, the contact history was recorded only in case of the interview (or attempt).3.5 Min number of contacts: NA3.6 Max number of contacts: NA

4. Questionnaire localization4.1 Validation: DK4.2 Pre-test:The first version of the questionnaire was tested in the pilot survey (carried out in August 2010).4.3 Length of interview: DK

QuestionnairesStructured questionnaire in Polish.

Data Collector(s) Office for Sample-based Research and Statistical Analyses, Polish Statistical Association (PTS)

Supervision1. Dealing with nonresponse1.1 Screening: No1.2 Refusal conversion: DK1.3 Incentives: DK

2. Tracking of sampled units2.1 Respondent contact information: Yes. Respondent's address, telephone number and e-mail were collected.2.2 Other contact information: Yes, from the household members.


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2.3 Cards: NA.2.4 Additional surveys: No2.5 Administrative records: No

Data Processing & Appraisal

Data EditingThe data has been cleaned using the consistency and logical checking. In ambiguous situations the original questionnaireswere checked.

Accessibility

Access Authority UNECE Population Unit - Palais des Nations - CH-1211 Geneva 10 - Switzerland. Tel: +41 22 91724 77 - fax: +41 22 917 01 07 , http://www.unece.org/pau/ , [email protected]

Distributor(s) Institut national des études démographiques - 133 boulevard Davout 75980 Paris Cedex 20, France.Netherlands Interdisciplinary Demographic Institute - Lange Houtstraat 19, NL-2511 CV TheHague, The Netherlands

Depositor(s) Institute of Statistics and Demography, Warsaw School of Economics

Access ConditionsIn order to access, it is necessary to subscribe to the GGP Data User Space, and to follow the instructions available on theGGP data access webpage.

Citation RequirementsIn any work emanating from research based on the Generations and Gender Survey micro-data, I will acknowledge that thesedata were obtained from the GGP Data Archive and refer to the publication that describes the model survey instruments:United Nations 2005. Generations & Gender Programme: SurveyInstruments. New York and Geneva: UN, 2005

Rights & Disclaimer

DisclaimerThe authors and producers bear no responsibility for the uses of the GGS data, or for interpretations or inferences based onthese uses. The producers accept no liability for indirect, consequential or incidental damages or losses arising from use of thedata collection, or from the unavailability of, or break in access to the service for whatever reason.

http://www.unece.org/pau/mailto:http://www.unece.org/pau/

Generations and Gender Survey Poland Wave 1 - Files Description

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Files DescriptionDataset contains 1 file(s)

GGS_Wave1_Poland_V.4.2.

# Cases 19987

# Variable(s) 1062

File ContentVARIABLES HAVING ALL SYSTEM MISSING CASES ARE DROPPED BEFORE PUBLICATION IN NESSTAR.This is the reason why the total no. of variables in the Nesstar data file is smaller than the total number of variables in theSPSS and STATA files.

Variables are ordered according to the sections of the GGS codebook: Household, Children, Partnerships, HouseholdOrganisation and Partnership Quality, Parents and Parental Home, Fertility, Health and Well-Being, Respondent's Activityand Income, Partner's Activity and Income, Household Possessions, Income and Transfers, Value Orientations and Attitudes,Interviewers' report.The variables begin with a letter designating the wave of data collection ("a" for the first wave likewise "b" for the secondwave). We have attempted to keep the names of variables the same across the waves, and all the new variables would beidentified as follows ["wave letter"]n e.g. bn301.Although we encourage the countries to strictly follow the GGS Questionnaire, countries might implement a question thatdiffers to a considerable extent from the GGS Questionnaire. In this case either we add country specific response values, orwe introduce a country specific variable.Country specific values are added when the question follows the model questionnaire, but the answers are not at all or partlycompatible. They are at least 4 digits long (F4 format) and begin with the country code: e.g., Australia 2401. Hence, thecountry code, as an example, for Australia is 24.A country specific variable is introduced when the question differs from the model questionnaire albeit measuring the sameconcept. This kind of variables is identified with a suffix given by the country code plus a number, e.g., Australia a119_2401.In order to have an overview of GGS country code, please refer to the variable "acountry".

VersionHarmonized dataset, GGS Wave1, version 4.2.

IMPROVEMENTS INTRODUCED WITH V.4.2. (February 2014):The update from v4.1 to v4.2 does not include corrections of existing variables.The update only includes additional variables which are derived from the pre-existing datasets- Variables derived from grid variables and variables which concern the respondents and his/her partner: numdissolnumdivorce nummarriage numpartners livingwithpartner childprevp femage maleage femeduc maleeduc fertintent numbiolnumres numnonres numstep numallchild ageyoungest ageoldest numrespleave numotherparentleave coreschild coresparencoresgrandp coressibl.- Variables derived from month and year variable:a808Dur a822Dur a907Dur a911Dur a914Dur; a303cAgeP a315AgeP a316cAgeP a374cAgeP a608AgeP a610AgePa617bAgeP a621AgeP a914AgeP a941AgeP; a107AgeR a121AgeR a150AgeR a239aAgeR a239bAgeR a240AgeRa301AgeR a302bAgeR; a311AgeR a314bAgeR a314dAgeR a371AgeR a372bAgeR a603AgeR a608AgeR a610AgeRa613AgeR a614AgeR a619AgeR a621AgeR a816AgeR a822AgeR a871AgeR a5116AgeR a5117bAgeR; a302bTdiffa314bTdiff a314dTdiff a372bTdiff.- Variables derived from hours and minutes variables: a324_hour a520_hour a540_hour.- Variables derived from frequency and unit variables:a205mnth,a241mnth,a325mnth,a355mnth,a359mnth,a363mnth,a367mnth,a521mnth,a541mnth,a1008mnth,a1102mnth;a203c_?w a204c_?w.- Occupation variables recoded into ISCO-88 1 digit: a828_1dig a832_1dig a861_1dig a917_1dig a921_1dig a933_1diga5112_1dig a5114_1dig.

Generations and Gender Survey Poland Wave 1 - Files Description

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FIRST DATASET RELEASED: V. 4.1 (October 2013).

Processing ChecksDATA HARMONISATIONThe data is submitted in an already pre-harmonised form. It is prepared and organised according to the GGS standards.Harmonisation aims at achieving a clear and comparable format of the GGS micro-data files that would be adequate forcross-country comparison. The harmonisation procedure basically is composed of:1. Label checksThis step makes sure that all the variables are named the same across the countries and refer to a particular question in theGGS Questionnaire. Also the value labels are checked. They should be the same across GGS datasets.2. Dealing with gridsThe GGS Questionnaire holds several grids of either event history information or members of the household. Such dataneeds to be harmonized with specific attention to order and logical consistency of grid-rows (be either household members orevents such as births). In data sense each row of the grid is represented by variable name followed by a subscripted number("_#"). Each subscript thus represents one household member or one event. Part of the grid harmonization is grid sorting.Grid rows are sorted according to pre-defined key. For example in the household grid, the household members are sortedaccording to their relationship to the respondent i.e. the relation to respondent variable (ahg3_# or bhg3_# ). Respondentswould appear, first, followed by their partners and children if any and then followed by other household members. As theremay be more then one child (or other relative) living in the household they also would need to be sorted. In the case of thehousehold grid, age is used as the secondary sorting key (starting with the oldest person to the youngest).3. RoutingRouting check ensures that the structure of underlying data set matches the structure of the GGS questionnaire. Its main goalis to code any given variable in the dataset to either a valid response, nonresponse or skip as indicated in the questionnaire.Consequently, the indicated skip in the quetionnaire is represented with a system missing code (. in STATA, sysmis inSPSS), while the missing information for other reasons is coded into non-applicable/no response (i.e. codes 7, 8, 9 in SPSSor .a, .b, .c in STATA).4. ConsolidationThe process consolidates the information scattered over several variables into a single one. The consolidation procedure iscarried out in the Children Section, the Partnership Section and the Parents and Parental Home Section.5. ImputationDue to its sensitive nature, the respondents are reluctant to share income information with the interviewer. In order to be ableto use income information in a cross country comparative study and not to loose too many observations in the process it isnecessary to impute the approximately correct distribution of the income variable in each country.6. Calculation of derived variablesWe calculate derived variables out of the following variables:- grid variables (i.e., household grid, children grid, and partnership history grid); the codebook starts with the constructedvariables that sum the key socio-demographic characteristics of the respondent.- month and year variables,- hours and minutes variables,- frequency and unit variables.Occupation variables are recoded into ISCO-88 1 digit.Explanations of the ways in which consolidated and derived variables are obtained, are available under the field "Note" of the"Variable Description" sections.For a more detailed and technical procedure please refer to the Data Cleaning and Harmonisation Guidelines.

Missing DataThe following missing values have been assigned:- 6, 96, 996, etc. = Unknown (only for consolidated variables in the group "administrative variables")- 7, 97, 997, etc. = Don't know- 8, 98, 998, etc. = Refusal- 9, 99, 999, etc. = Not-applicable/no responseFor further information, see the GGS Wave 1 questionnaire manual: http://www.ggp-i.org/materials/survey-instruments.html.

NotesBefore publication in Nesstar GGS micro data files are further processed so as to ease online data browsing and analysing.We delete variables having all system missings.

Generations and Gender Survey Poland Wave 1 - Variables List

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Variables ListDataset contains 1062 variable(s)

File GGS_Wave1_Poland_V.4.2.

# Name Label Type Format Valid Invalid Question

1 acountry Country discrete numeric-26.0 19987 0 -

2 arid R identification number discrete numeric-12.0 19987 0 -

3 amonth Mnth of interview discrete numeric-40.0 19987 0 Interview started at...on...

4 ayear Yr of interview discrete numeric-26.0 19987 0 Interview started at...on...

5 aage Age Respondent discrete numeric-3.0 19986 1 -

6 asex Sex Respondent discrete numeric-1.0 19987 0 -

7 ahhtype Household type Respondent discrete numeric-1.0 19987 0 -

8 ahhsize Household size includingRespondent

discrete numeric-2.0 19987 0 -

9 aactstat Activity Status Respondent discrete numeric-2.0 19987 0 -

10 abyear Birth Year Respondent discrete numeric-4.0 19986 1 -

11 adwell Type of dwelling where Rlives


12 aeduc Highest Education Level ofRespondent


13 afloor Floor number on which Rlives


14 aint_pr Presence of others atinterview


15 amarstat Marital Status Respondent discrete numeric-1.0 19961 26 -

16 ankids Number of childrenRespondent


17 anpartner Number of partners (incl.current one) Respondent


18 aparstat Current Partner Status discrete numeric-1.0 19987 0 -

19 aplace Code of place of residence(City / town / village code)


20 aregion Region or administrative unitof residence (country spec.)


21 atype Type of settlement (rural/urban/ capital)


22 numdissol Total number of partnershipsdissolutions


23 numdivorce Total number of partnershipsending in divorce


24 nummarri .. Total number of marriages discrete numeric-26.0 19987 0 -

25 numpartn .. Total number of partnerships discrete numeric-26.0 19987 0 -

26 childprevp any children from previouspartnership


27 femage If partnered: age of female discrete numeric-26.0 7144 12843 -

28 maleage If partnered: age of male discrete numeric-26.0 6028 13959 -


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29 femeduc If partnered: level ofeducation of female


30 maleeduc If partnered: level ofeducation of male


31 fertintent if partnered: fertilityintentions of the couple

discrete numeric-26.0 4535 15452 Do you yourself want to have a/anotherbaby now? Couples do not always havethe same feelings about the number ortiming of children. Does your partner/spouse want to have a/another babynow?

32 numbiol Total number of biologicalchildren

discrete numeric-8.0 19987 0 The number of biological children ofthe respondent (with the current or withformer partner).

33 numres Number of children in thehousehold


34 ageyoung .. Age of youngest child discrete numeric-8.0 9326 10661 -

35 ageoldest Age of oldest child discrete numeric-8.0 5981 14006 -

36 coreschild Respondent has coresidentchild


37 coresparen Respondent has coresidentparent


38 coresgra .. Respondent has coresidentgrandparent or great-grandparent


39 coressibl Respondent has coresidentsibling


40 livingwi .. Partner living in household ofrespondent


41 numnonres Total number of nonresidentchildren


42 ahg1_1 Order of hh member 1 discrete numeric-9.0 19987 0 -












54 ahg2_1 Temporary away hh member1

discrete numeric-33.0 19987 0 Are there any other household memberswho usually live here but are now awayon business, at school, at boardingschool, at university, in hospital orsomewhere else?


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66 ahg3_1 Relation to R of hh member 1(except R)

discrete numeric-40.0 19987 0 To help me keep track of your answers,please tell me their first names and howthey are related to you.


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75 ahg3_10 Relation to R of hh member10 (except R)






78 ahg4_1 Sex of hh member 1 discrete numeric-26.0 19987 0 Sex of respondent.

79 ahg4_2 Sex of hh member 2 discrete numeric-26.0 16425 3562 Can I just check, that [HouseholdMember 2] is male/female?










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90 ahg5_1 Age of hh member 1 discrete numeric-26.0 19986 1 In what month and year were you born?

91 ahg5_2 Age of hh member 2 discrete numeric-26.0 16422 3565 How old is he/she?











102 ahg6m_1 Mnth of birth of hh member1

discrete numeric-40.0 19978 9 In what month and year were you born?


discrete numeric-40.0 16411 3576 In what month and year was he/sheborn?





















114 ahg6y_1 Yr of birth of hh member 1 discrete numeric-26.0 19986 1 In what month and year were you born?

115 ahg6y_2 Yr of birth of hh member 2 discrete numeric-26.0 16422 3565 In what month and year was he/sheborn?



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126 ahg7y_2 Yr hh member (non-bio.child) first came to live withR: 2

discrete numeric-26.0 0 19987 In what month and year did you and[name] first start living in the samehousehold?













133 ahg8_1 Activity of hh member 1 (hhmembers >= 14)

discrete numeric-40.0 19985 2 Which of the items on the card bestdescribes what you are mainly doing atpresent?


discrete numeric-40.0 15994 3993 Which of the items on the card bestdescribes what [Household Member 2]is mainly doing at present?






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142 ahg8_10 Activity of hh member 10(hh members >= 14)






145 ahg9_1 Disability of hh member 1 discrete numeric-26.0 19987 0 Who are these persons?












157 a105 Born in country of interview? discrete numeric-26.0 19987 0 Were you born in [COUNTRY]?

158 a106a_1 City / town / village whereborn in country of interview(country-spec. list)

discrete numeric-26.0 19436 551 In which municipality in [COUNTRY]were you born?

159 a106a_2 Main administrative unitwhere born in country ofinterview (country-spec. list)

discrete numeric-40.0 18785 1202 In which main administrative unit wereyou born?

160 a106b Country of birth discrete numeric-40.0 495 19492 In which country were you born?

161 a107AgeR R's age of starting to live incountry of interview

discrete numeric-26.0 471 19516 In what month and year did you firststart living permanently in [country]?

162 a107y Yr starting to live in countryof interview

discrete numeric-26.0 483 19504 In what month and year did you firststart living permanently in [country]?


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163 a111 Present citizenship discrete numeric-40.0 19986 1 What is your present citizenship?

164 a119 Number of rooms discrete numeric-26.0 19977 10 How many rooms are there in thedwelling where you live, NOT countingkitchens, bathrooms and toilets? Excludealso rooms used solely for business,hallways and utility rooms.

165 a121AgeR R's age of starting to live incurrent dwelling

discrete numeric-26.0 19336 651 In what month and year did you startliving in this [type of accommodation]?

166 a121y Yr starting living in currentdwelling

discrete numeric-26.0 19971 16 In what month and year did you startliving in this [type of accommodation]?

167 a122 HH's ownership statustowards the dwelling

discrete numeric-35.0 19978 9 Does your household own or rent thisaccommodation or does it come rent-free?

168 a145 Satisfaction with dwelling(see satisfaction scale)

discrete numeric-26.0 19972 15 How satisfied are you with yourdwelling?

169 a148 Highest reached educationlevel (country-spec. list)

discrete numeric-40.0 19913 74 What is the highest level of educationyou have successfully completed?

170 a149 Main subject of studies (seelist of subjects)

discrete numeric-40.0 19729 258 What was the main subject matter ofthese studies?

171 a150AgeR R's age of achieving thecurrent education level

discrete numeric-26.0 19539 448 In what month and year did you reachthat level?

172 a150m Mnth of reaching this degree discrete numeric-40.0 19553 434 In what month and year did you reachthat level?

173 a150y Yr of reaching this degree discrete numeric-33.0 19813 174 In what month and year did you reachthat level?

174 a151 Currently studying discrete numeric-26.0 19970 17 Are you currently studying?

175 a201a_a HH tasks with children:Dressing

discrete numeric-40.0 4587 15400 Dressing the children or seeing that thechildren are properly dressed

176 a201a_b HH tasks with children:Putting to bed

discrete numeric-40.0 4555 15432 Putting the children to bed and/or seeingthat they go to bed

177 a201a_c HH tasks with children:Illness

discrete numeric-40.0 4594 15393 Staying at home with the children whenthey are ill

178 a201a_d HH tasks with children:Leisure activities

discrete numeric-40.0 4594 15393 Playing with the children and/or takingpart in leisure activities with them

179 a201a_e HH tasks with children:Homework preparations

discrete numeric-40.0 3134 16853 Helping the children with homework

180 a201a_f HH tasks with children:Transport

discrete numeric-40.0 3578 16409 Taking the children to/from school,day care centre, babysitter or leisureactivities

181 a201b_a1 Which other person 1 to x hh:Dressing (see ref. hh grid)

discrete numeric-30.0 31 19956 Could you just tell me which of theother household members?

182 a201b_b1 Which other person 1 to xhh: Putting to bed (see ref. hhgrid)


183 a201b_c1 Which other person 1 to x hh:Illness (see ref. hh grid)


184 a201b_d1 Which other person 1 to x hh:Leisure activities (see ref. hhgrid)



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185 a201b_e1 Which other person 1 to x hh:Homework preparations (seeref. hh grid)


186 a201b_f1 Which other person 1 to x hh:Transport (see ref. hh grid)


187 a202 Satisfaction child caretask arrangements (seesatisfaction scale)

discrete numeric-26.0 4090 15897 How satisfied are you with the waychildcare tasks are divided between youand your partner/spouse?

188 a203a Regular help with childcare (institutional/paidarrangement)

discrete numeric-26.0 4556 15431 Do you get regular help with childcarefrom a day care centre, a nursery or pre-school, an afterschool care-centre, a self-organised childcare group, a babysitter,or from some other institutional or paidarrangement?

189 a203b_1 Mention alternatives inchildcare #1

discrete numeric-31.0 1495 18492 Please name all the alternatives from thecard that are regularly used.





192 a203c_1 Freq. child care: 1 discrete numeric-26.0 1493 18494 How frequently do you make use of[mentioned arrangement]?



195 a203cu_1 Time unit freq. child care: 1 discrete numeric-26.0 1493 18494 How frequently do you make use of[mentioned arrangement]?



198 a203c_1w Freq. per week: child care 1 discrete numeric-26.1 1493 18494 How frequently do you make use of[mentioned arrangement]?



201 a204a Regular help with child care(for whom caring for childrenis not a job)

discrete numeric-26.0 4563 15424 Do you (also) get regular help withchildcare from relatives or friendsor other people for whom caring forchildren is not a job?

202 a204b_1 Person 1 from whom help isreceived

discrete numeric-40.0 1694 18293 From whom do you get this help?








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207 a204c_1 Freq. help with child carefrom person 1

discrete numeric-31.0 1694 18293 How frequently does [mentionedperson] help to look after your children?









212 a204cu_1 Time unit freq. of help withchild care from person 1










217 a204c_1w Freq. per week: help withchild care from person 1










222 a205 Personal costs for child care discrete numeric-27.2 4623 15364 How much does your household usuallypay per month for childcare, if anything?

223 a205mnth Personal costs for child careper month

discrete numeric-26.0 1154 18833 How much does your household usuallypay per month for childcare, if anything?

224 a205u Time unit of personal costsfor child care

discrete numeric-26.0 1154 18833 How much does your household usuallypay per month for childcare, if anything?

225 a208a Regular help with childcaregiven to other in the last 12mnth

discrete numeric-26.0 19894 93 Over the last 12 months, have you givenregular help with childcare to otherpeople?

226 a208b_1 Whom helped #1 discrete numeric-40.0 2240 17747 Whom have you helped?





231 a208c_1 Person 1 lived in the same hhat that time

discrete numeric-26.0 2237 17750 Did this person live in the samehousehold with you at that time?


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236 a209 Have given birth to/ fatheredany children or have adoptedany children

discrete numeric-26.0 19987 0 Have you given birth to/ fathered anychildren or have you ever adopted anychildren? Do not include stepchildren,that is, children belonging to yourcurrent or prior partner/spouse. I will askyou about those children later.

237 a211a All children alive discrete numeric-26.0 9317 10670 Sometimes it happens that one loses achild. Are all your children alive?

238 a211b_1 Mentioned dead non-residentchild 1

discrete numeric-26.0 745 19242 Please mention those children who arenot alive any more













245 a212_1 Sex of non-resident child 1 discrete numeric-28.0 9272 10715 Can I just check, that [name] is male/female?







252 a213_1 Type of non-resident child 1 discrete numeric-28.0 9289 10698 Is [name] your biological child or anadopted child?




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259 a214y_1 Yr since hh membership ofnon-resident child 1

discrete numeric-28.0 75 19912 In what month and year did he/she startliving in your household?









264 a215_1 Biological child 1 of currentpartner

discrete numeric-28.0 9104 10883 Is this child also the biological child ofyour current partner/spouse?













271 a216a_1 Age of non-resident child 1 discrete numeric-26.0 305 19682 How old is he/she?







278 a216m_1 Mnth of birth of non-residentchild 1









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285 a216y_1 Yr of birth of non-residentchild 1














292 a217m_1 Mnth of death of non-resident child 1

discrete numeric-40.0 414 19573 In what month and year did [name] die?













299 a217y_1 Yr of death of non-residentchild 1















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306 a220y_1 Yr of leaving parental homeof non-resident child 1

discrete numeric-40.0 8757 11230 In what month and year did you and[name of child] stop living in the samehousehold?













313 a221h_1 Time (hrs) to reach home ofnon-resident child 1

discrete numeric-40.0 8116 11871 How long does it take to get from yourhome to where [name] is living atpresent?













320 a221t_1 Time (mins) to reach homeof nonresident child 1









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327 a223_1 Number of meetings withnonresident child 1

discrete numeric-26.0 8768 11219 How often do you see [name]?













334 a223u_1 Time unit of number ofmeetings with non-residentchild 1














341 a224_1 Satisfaction with therelationship with non-resident child 1

discrete numeric-26.0 8785 11202 How satisfied are you with yourrelationship with [name]?






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348 a226 Any non-residentstepchildren

discrete numeric-26.0 12140 7847 Next, I would like to know aboutany stepchildren, that is, childrenyour current partner/spouse has had,other than those who currently live inthe household. Has your partner hadchildren who do not currently live inyour household?

349 a238 Number of grandchildren discrete numeric-26.0 19791 196 How many grandchildren do you have?

350 a239_2600 Age of oldest grandchild discrete numeric-26.0 7622 12365 How old is your oldest granchild?

351 a242a Any great grandchildren discrete numeric-26.0 7600 12387 Do you have any great-grandchildren?

352 a242b Number of greatgrandchildren

discrete numeric-26.0 1108 18879 How many?

353 a250 Child present in consolidatedgrid?


354 a251_1 Type of child 1 discrete numeric-40.0 15245 4742 -















369 a252_1 Sex of child 1 discrete numeric-36.0 15318 4669 -






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384 a253m_1 Mnth of birth of child 1 discrete numeric-40.0 15270 4717 -















399 a253y_1 Yr of birth of child 1 discrete numeric-36.0 15344 4643 -















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414 a254_1 Mentioned dead child 1 discrete numeric-36.0 7293 12694 -















429 a255m_1 Mnth of death child 1 discrete numeric-40.0 381 19606 -








437 a255y_1 Yr of death child 1 discrete numeric-36.0 399 19588 -








445 a256_1 Residence type of child 1 discrete numeric-26.0 6890 13097 -








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457 a301AgeR R's age at start of living withcurrent partner

discrete numeric-26.0 12130 7857 In what month and year did you and he/she first start living together?

458 a301m Mnth starting living together discrete numeric-40.0 12130 7857 In what month and year did you and he/she first start living together?

459 a301y Yr starting living together discrete numeric-26.0 12265 7722 In what month and year did you and he/she first start living together?

460 a302a Legally married with partner discrete numeric-26.0 12275 7712 Are you and he/she legally married?

461 a302bAgeR R's age of marrying currentspouse

discrete numeric-26.0 11361 8626 In what month and year did you marry?

462 a302bTdiff Time elapsed betweenstart of living together andmarriage (years)


463 a302bm Mnth of marriage discrete numeric-40.0 11361 8626 In what month and year did you marry?

464 a302by Yr of marriage discrete numeric-26.0 11406 8581 In what month and year did you marry?

465 a303a Is partner born in the country discrete numeric-26.0 12276 7711 Was your partner/spouse born in[COUNTRY]?

466 a303b Country of birth of thepartner

discrete numeric-40.0 229 19758 In which country was he/she born?

467 a303cAgeP Partner's age of obtainingpermanent residence

discrete numeric-26.0 215 19772 In what month and year did he/she firststart living permanently in [country]?

468 a303cy Yr of permanent residence inthe country

discrete numeric-26.0 226 19761 In what month and year did he/she firststart living permanently in [country]?

469 a306 Present citizenship of thepartner (country-spec. list)

discrete numeric-40.0 12275 7712 What is your partner's presentcitizenship?

470 a308 Highest education level ofthe current partner (country-spec. list)

discrete numeric-40.0 12225 7762 What is the highest level of educationyour partner/spouse has successfullycompleted?

471 a309 Main subject of the partnersstudies (see list of subjects)

discrete numeric-40.0 12072 7915 What was the main subject matter ofthese studies?

472 a310 Have relationship tosomebody withoutcohabitation

discrete numeric-26.0 7709 12278 a310 question details

473 a312a Reason for living apart discrete numeric-40.0 893 19094 Are you living apart because you and/or your partner want to or becausecircumstances prevent you from livingtogether?

474 a312d Circumstances for livingapart (most important one)

discrete numeric-29.0 309 19678 By which circumstances? Please choosethe most important circumstances.

475 a314a Ever legally married withnon-resident partner

discrete numeric-26.0 895 19092 Have you ever been legally married tohim/her?

476 a314bAgeR R's age of marrying currentnon-resident partner



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477 a314bTdiff Time elapsed between startof relationship and marriage(years)

discrete numeric-26.1 0 19987 In what month and year did thisrelationship start? In what month andyear did you marry?

478 a314bm Mnth of marriage discrete numeric-40.0 140 19847 In what month and year did you marry?

479 a314by Yr of marriage discrete numeric-26.0 140 19847 In what month and year did you marry?

480 a314c Still married discrete numeric-26.0 185 19802 Are you still married to him/her?

481 a314dAgeR R's age of divorcing currentnon-resident partner

discrete numeric-26.0 4 19983 In what month and year did you get adivorce?

482 a314dTdiff Time elapsed betweenmarriage and divorce (years)

discrete numeric-26.1 2 19985 In what month and year did you marry?In what month and year did you get adivorce?

483 a314dm Mnth of divorce discrete numeric-40.0 4 19983 In what month and year did you get adivorce?

484 a314dy Yr of divorce discrete numeric-26.0 4 19983 In what month and year did you get adivorce?

485 a315AgeP Non-resident Partner's age attime of interview

discrete numeric-26.0 13145 6842 In what month and year was yourpartner/spouse born?

486 a315m Mnth of birth non-residentpartner


487 a315y Yr of birth non-residentpartner


488 a316a Is non-resident partner bornin the country

discrete numeric-26.0 893 19094 Was your partner/spouse born in[COUNTRY]?

489 a316b Country of birth non-residentpartner

discrete numeric-40.0 26 19961 In which country was he/she born?

490 a316cAgeP Partner's age at start ofpermanent residence

discrete numeric-26.0 14 19973 In what month and year did he/she first start living permanently in[COUNTRY]?

491 a316cy Yr of permanent residence inthe country

discrete numeric-33.0 14 19973 In what month and year did he/she first start living permanently in[COUNTRY]?

492 a325 Number of meetings withnon-resident partner

discrete numeric-26.0 895 19092 How often do you see him/her?

493 a325mnth Number of meetings withnon-resident partner permonth

discrete numeric-26.1 888 19099 How often do you see him/her?

494 a325u Time unit of meetings withnon-resident partner

discrete numeric-26.2 888 19099 How often do you see him/her? (timeunit)

495 a327 Intention to start living with apartner (next 3 yrs)

discrete numeric-26.0 891 19096 Do you intend to start living with a/yourpartner/spouse during the next 3 years?

496 a332 Intention to marry duringnext 3 yrs

discrete numeric-26.0 778 19209 Do you intend to marry somebody/ yourpartner during the next 3 years?

497 a333 Any prev. partnership (apartfrom current one)

discrete numeric-26.0 19983 4 a333 question details

498 a334m_1 Mnth starting living togetherwith partner 1

discrete numeric-40.0 4793 15194 In what month and year did you startliving together with your first/second/…partner or spouse?


discrete numeric-40.0 399 19588 In what month and year did you startliving together with your first/second/…partner or spouse?


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discrete numeric-40.0 45 19942 In what month and year did you startliving together with your first/second/…partner or s

Documents

Generations and Gender Survey Poland Wave 1 · Generacje, rodziny i plec kulturowa (GGS-PL) Overview Identification GGSW1.26 Abstract The Generations and Gender Survey (GGS) provides