Study description [HWF01]³ Households, Work and Flexibility 2001

[HWF01]³ Households, Work and Flexibility 2001

Basic Study Information

ADP - IDNo: HWF01

Main author(s):

Wallace, Claire
Boje, Thomas
Cousins, Christine
Jager, Annet
Kops, Yvonne
Kovatcheva, Siyka
Sicherl, Pavle
Sik, Endre
Stanculescu, Manuela
Toš, Niko
Vecernik, Jiri

Data file producer:

IHS - Institut für Höhere Studien und Wissenschaftliche Forschung = Institute for Advanced Studies (Vienna, Austria; 2002)

Funding agency:

European Community programme Improving Human Research Potential & the Socio-economic Knowledge Base

Study Content

Keywords:

respondent's education (ISCED 97 classification), sources of income, number of economic activities, employment status, duration of the economic activity, working time scheme, willingness to work more/less hours, reasons to work more/less hours, frequency of work overtime, place of work, varying places of work, autonomy in flexible work arrangements, type of contract with the employee, satisfaction with the economic activity, members of the household, education of members of the household, working activity of members of the household, hours of work, domestic work division among members of the household, voluntary work, unpaid work, work vs. family values, agreement among household members about family vs. work obligations, where are decisions in a household taken, employment changes, standard of living of the household, source of income and incomes of the household, what household owns, prospective economic situation of a household, retrospective economic situation of a household, gender, employment sector, occupational status, religios congregation, ethnic affiliation

Topic Classification CESSDA
LABOUR AND EMPLOYMENT
SOCIAL STRATIFICATION AND GROUPINGS - family life and marriage
Topic Classification CERIF
Sociology of labour, sociology of enterprise
Topic Classification ADP
Individual respondents economic activities
Individual flexibility (time, place, conditions)
Composition of the household
Work portofolio of household members
Domestic work
Voluntary work
Work values
Potential for flexibility
Economic resources of households

Abstract:

The aim is to look at how different kinds of work are combined within households and how social and labour market policies in different countries affect this. With debates about flexibility taking place in many European countries, the project considers what effects different policies regarding flexible employment might have for the daily lives of people and families. An important aspect of this is the gendered division of work both inside and outside of the home and the combinations of paid and unpaid work. The project is based upon a sample survey of people in each country who are asked about their own experiences of different kinds of employment along with those of other members of their households. The questionnaire considers paid as well as unpaid work and the strategies through which households approach these different kinds of work. Flexibility is construed as flexibility of time, place and conditions of work. The questionnaire is designed to cover the way in which the activities of different household members combine, including both paid and unpaid work, work in the formal and in the black or grey economy (a very important field in some countries). It is also designed to look at attitudes to flexibility as well as behaviour. For this reason, we have been concerned to look at all forms of work, including domestic work, child care, work in the informal economy, self provisioning and additional casual and occasional jobs in addition to various kinds of regular employment. Each of these issues has very different connotations in the different parts of Europe. The first part of the questionnaire relates to the individual responses and in order to try to understand the combination of different types of economic activity, we have asked in some detail about various sources of income. There are then some more detailed questions about the main economic activity, including the kinds of hours worked, places worked and working conditions. There are some questions designed to elucidate not just under what conditions a person is working, but also the reasons for that particular set of conditions and whether it is chosen or forced upon them. Finally, respondents are asked about how happy they are with these arrangements and if they would want to change them. Similar, although less detailed questions, are asked about the second, third and fourth economic activity of the respondent. The assumption is that the flexible work would more likely found in the second, third or fourth activity and that this might be combined with a more stable first activity. The second part of the questionnaire uses a series of grids to ask about other members of the household. Here the information collected is less detailed, because it is collected from only one person in the household. The composition of the household forms the topic of one grid. The different kinds of work undertaken by different household members are the subject of the second grid. The third grid looks at a variety of different domestic tasks and asks respondents which household member, or who outside of the household carries out these tasks. The next grid considers voluntary and unpaid work for others outside of the household by different family members, with the intention to get some measure of social capital in different countries. It is assumed that whereas formal social capital in the sense of contribution to voluntary organisations may be low in CECs, informal help for others might nevertheless be well developed. The next grid attempts to look at how key household decisions are made and who has the most important decision making role in this respect. Is it the key wage earner? Or is it the most senior person on the household? In this part of the questionnaire we should be able to explore the extent to which different contributions to the household may result in different balances of power within the household. The third section of the questionnaire is devoted to work values. It considers the extent to which people are happy about their various economic activities and the extent to which these might impinge upon or help family life. Finally, we try to look at sources of discord and tension in the area of work and household with particular respect to flexibility. This part of the questionnaire should enable us to better understand the extent to which flexibility may be a help or a hindrance to the organisation of family life and the extent to which it may lead to conflict. The next section of the questionnaire considers the potential for flexibility, by asking under what conditions people would move house, move jobs or retrain. Another table considers job changes since 1989 and this would be particularly relevant in CEC countries. This would give some indication of how flexible the respondent was until now. The final questions in the questionnaire measure the economic resources of the household, including not only income but also other resources such as consumer goods, land and domestic animals owned, access to telecommunications and so on. Document status: 4 - Full Study description and XML DDI Codebook Data description with full questions text. Access to original study description on ADP http://www.adp.fdv.uni-lj.si/opisi/hwf01-en.xml -

Methodology

Collection date:	The surveys were conducted between February - and June 2001.
Date of production:	2002
Country:	United Kingdom, Netherlands, Sweden, Slovenia, Czech Republic, Hungary, Romania, Bulgaria
Geographic coverage:	Territory of corresponding countries.
Unit of analysis:	individual household
Universe:	The target population were between 18 and 60/65 although in Slovenia and Romania there was no upper age limit. For the combined data set those above aged 65 in those countries were excluded.
Excluded:	no information
Data collected by:	United Kingdom: NFO World Group Netherlands: Desan market research Sweden: Statistics Sweden Slovenia: Center za raziskovanje javnega mnenja in množičnih komunikacij = Public Opinion and Mass Communication Research Centre Czech Republic: STEM, s.r.o. Hungary: TÁRKI Social Research Centre Romania: The Institute for the Study of the Quality of Life
Sampling procedure:	United Kingdom: Postcode Address File (PAF). Small Users, PAF provides a sample of addresses. Each address has an equal chance of selection, regardless of the number of people living at that address. The probability of selection of individuals at a selected address is inversely proportional to the number of eligible people at the address. Since this bias is known about in advance, it is easy to correct for it by collecting the number of eligible adults at the address as part of the questionnaire data, and using this as a weighting variable. Finally, Kish grid method was used to identify a respondent. Netherlands: Stratified/quota sample. Sweden: Random sample of population 18-65 drawn from the national Swedish register of residents. Slovenia: Central Register of Population (a list of names and addresses constantly updated by public administration) is employed as a sampling frame. The sample is two-stage stratified random sample from Central Register of Population, where every population unit has equal probability of selection. First stage PSU selection is made by probability proportional to size of CEA (Clusters of Enumeration Areas). CEA are stratified according to 12 regions*6 type of settlement. At second stage systematic random selection inside CEA brings fixed numbers of persons with name and address. Czech Republic: Database of household cost payers – SIPO. Yes, known - and equal – probability. Household. Nearest birthday of a complete list of household members. Higher proportion of old age group Higher proportion of single member households Hungary: Hungarian population census Age 18-65, Yes, known - and equal probability. The sample was created in two steps. First they have stratified the localities according the number of adults living in each of them. From these nine strata of the localities are chosen by random sampling method. In the second step they have chosen individuals from the set of those 93 settlements. Romania: From the electoral list. From other lists (such as agricultural register). Random route method.
Mode of data collection:	Personal interviews; Netherlands: Computer assisted telephone interview (CATI); Sweden: Self completed mail survey ;
Weighting:	The "weight" variable includes nation specific weighting adjustment for United Kingdom, Netherlands, and Hungary for the individual level data file. Details:

Access restrictions

The data are unrestricted for academic purposes only. The users should use the materials only for the purposes specified in Ordering form, to act at all times so as to preserve the confidentiality of individuals and institutions recorded in the materials.

The users should acknowledge in any publication both the original depositors and the Archive.

Users are requested to deposit with the Archive two copies of any published work or report based wholly or in part on such materials and to notify the Archive of any errors discovered in the materials.

In case of ambiguity the users of the data set are advised to contact principal investigators or Archive.

Basic Data File Description

Title of Data file: hwf01_f1.NSDstat

Format: *.por - SPSS PORTABLE

number of variables: 328
number of units: 10123

Title of Data file: hwf01_f2.NSDstat

Format: *.por - SPSS PORTABLE

number of variables: 42
number of units: 23594

Variable list

ADP_IDNO ADP fileName Identification Number

ADP_IDNO

Value 13		Frequency
HWF01_F1		10123

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10123	0

ID Identifier of the interview

Value 22		Frequency
1
2
3

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10123	0	1	10123	5062	2922.403

Valid range from 1 to 10123

I01CNT_C I.01. County Interviewer page

COUNTY:

Value 31		Frequency
-1	Recoded due to annonimiziation	10123

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
0	10123

ADP_IDNO ADP fileName Identification Number

ADP_IDNO

Value 1370		Frequency
HWF01_F1		10123

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10123	0

ID Identifier of the interview

Value 2369		Frequency
1
2
3

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10123	0	1	10123	5062	2922.403

Valid range from 1 to 10123

I01CNT_C I.01. County Interviewer page

COUNTY:

Value 3368		Frequency
-1	Recoded due to annonimiziation	10123

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
0	10123

I02CNT I.02. County code

COUNTY CODE

Value 4367		Frequency
3100001	Amsterdam/Rotterdam/Den Haag	127
3100002	Noord-/Zuid-Holland/Utrecht	322
3100003	Groningen/Drente/Friesland	112
3100004	Flevoland/Overijssel/Gelderland	199
3100005	Zeeland/Noord-Brabant/Limburg	247
3590001	Blagoevgrad	60
3590002	Burgas	98
3590003	Varna	94
3590004	Veliko Tarnovo	84
3590005	Vidin	30
3590006	Vratza	50
3590007	Gabrovo	42
3590008	Dobrich	53
3590009	Kardzhaly	56
3590010	Kiustendil	31
3590011	Lovech	30
3590012	Montana	55
3590013	Pazardzhik	67
3590014	Pernik	29
3590015	Pleven	67
3590016	Plovdiv	164
3590017	Razgrad	58
3590018	Russe	84
3590019	Silistra	59
3590020	Sliven	78
3590021	Smolian	28
3590022	Stara Zagora	91
3590023	Targovishte	36
3590024	Haskovo	59
3590025	Shumen	29
3590026	Iambol	30
3590201	Sofia	244
3600001	Budapest	216
3600002	Baranya	49
3600003	Bács-Kiskun	90
3600004	Békés	29
3600005	Borsod-Abaúj-Zemplén	61
3600006	Csongrád	50
3600007	Fejér	18
3600008	Győr-Moson-Sopron	48
3600009	Hajdú-Bihar	48
3600010	Heves	59
3600011	Komárom-Esztergom	61
3600012	Nográd	29
3600013	Pest	105
3600014	Somogy	27
3600015	Szabolcs-Szatmár-Bereg	57
3600016	Jász-Nagykun-Szolnok	61
3600017	Tolna	38
3600018	Vas	28
3600019	Veszprém	58
3600020	Zala	34
3860001	Dolenjska	57
3860002	Gorenjska	111
3860003	Goriška	59
3860004	Koroška	20
3860005	Notranjsko-kra	20
3860006	Obalno-kraška	34
3860007	Osrednjesloven	234
3860008	Podravska	110
3860009	Pomurska	59
3860010	Savinjska	95
3860011	Spodnjeposavsk	14
3860012	Zasavska	26
4200001	Prague	219
4200002	Middle Bohemia	189
4200003	SouthWest	177
4200004	North West	174
4200005	North East	242
4200006	South East	214
4200007	Middle Moravia	201
4200008	Ostravsko	140
4400001	North	72
4400002	Yorkshire & Humberside	84
4400003	East Midlands	84
4400004	East Anglia	30
4400005	South East (Excl. London)	164
4400006	Greater London	128
4400007	South West	47
4400008	West Midlands	68
4400009	North West	82
4400010	Wales	36
4400011	Scotland	134
4400012	Northern Ireland	12
4600001	Stockholms län	250
4600003	Uppsala län	36
4600004	Södermanlands län	35
4600005	Östergötlands län	66
4600006	Jönköpings län	45
4600007	Kronobergs län	28
4600008	Kalmar län	33
4600009	Gotlands län	11
4600010	Blekinge län	23
4600012	Skĺne län	154
4600013	Hallands län	31
4600014	Västra Götalands län	237
4600017	Värmlands län	49
4600018	Örebro län	39
4600019	Västmanlands län	44
4600020	Dalarnas län	35
4600021	Gävleborgs län	45
4600022	Västernorrlands län	26
4600023	Jämtlands län	24
4600024	Västerbottens län	30
4600025	Norrbottens län	43
40000001	Alba	21
40000002	Arad	38
40000003	Arges	67
40000004	Bacau	29
40000005	Bihor	38
40000006	Bistrita - Nasaud	6
40000007	Botosani	34
40000008	Brasov	39
40000009	Braila	33
40000010	Buzau	22
40000011	Caras - Severin	38
40000012	Calarasi	39
40000013	Cluj	56
40000014	Constanta	71
40000015	Covasna	13
40000016	Dambovita	29
40000017	Dolj	32
40000018	Galati	45
40000019	Giurgiu	0
40000020	Gorj	31
40000021	Harghita	20
40000022	Hunedoara	46
40000023	Ialomita	31
40000024	Iasi	47
40000025	Maramures	20
40000026	Mehedinti	38
40000027	Mures	40
40000028	Neamt	25
40000029	Olt	31
40000030	Prahova	45
40000031	Satu Mare	39
40000032	Salaj	35
40000033	Sibiu	36
40000034	Suceava	44
40000035	Teleorman	25
40000036	Timis	36
40000037	Tulcea	10
40000038	Vaslui	30
40000039	Valcea	24
40000040	Vrancea	69
40000041	Bucuresti	133
40000042	Ilfov	19

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10123	0

Valid range from 3100001 to 40000042

I03LCL_C I.03. Locality name

LOCALITY: (name of the city/commune)

Value 5366		Frequency
-1	Recoded due to annonimiziation	10123

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
0	10123

Valid range from -999 to 999

I04LCLC I.04. Locality code

CODE LOCALITY

Value 6365		Frequency
-99	DK/NA	8
-1	Recoded due to annonimiziation	10115

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10123	0

Valid range from -999 to 999

I05LCLTY I.05. Locality type

Locality type:

Value 7364		Frequency
-99	DK/NA	2
1	Peripheral village	1054
2	Center of the commune	2755
0	Not asked	6312

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
3811	6312

Valid range from -99 to 2

I06LC I.06. Level of urbanization

I.06. Level of urbanization

Value 8363		Frequency
1	Most urbanized area	1845
2	Urbanized area	1184
3	Moderately urbanized area	1925
4	Intermediate urban-rural area	2071
5	Rural area	1243
6	Most rural area	1822
-99	DK/NA	33

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10090	33

Valid range from 1 to 6

I06LOINT I.06.A Urbanization

I.06.A Urbanization

Value 9362		Frequency
1	Urbanized area	3032
2	Intermediate area	4000
3	Rural Area	3070
-99	DK/NA	21

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10102	21

Valid range from 1 to 3

I07LCLDS I.07. If a very small city, a town, a small town or a peripheral village, distance to the nearest city (km) RURAL AREAS:

DIST. Distance to the nearest city ..... km

Value 10361		Frequency
-99	DK/NA, Not applicable	4222
1	Up to 1 km	32
2	2 km	62
3	3 km	65
4	...	52
5		58
6		42
7		75
8		102
9		21
10		102
11		17
12		67
13		40
14		26
15		119
16		14
17		1
18		38
19		11
20		83
21		3
22		10
23		16
24		14
25		91
26		13
28		15
29		1
30		27
31		1
33		1
35		12
38		1
40		2
44		1
45		1
50		10
81		1
0	Not asked	4654

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
5469	4654

Valid range from -99 to 81

I09LAST I.09. Duration of the interview (min)

The interview lasted (minutes) DUR !_!_! minutes

Value 11360		Frequency
-1	Not asked	1284
0		11
0.0277777777777778		1
0.133333333333333		1
0.166666666666667		1
0.25		1
0.661111111111111		1
0.855555555555556		1
0.872222222222222		1
0.9		1
0.966666666666667		1
1		5
1.07222222222222		1
1.07777777777778		1
1.21944444444444		1
1.24444444444444		1
1.37222222222222		1
1.39722222222222		1
1.40277777777778		2
1.42777777777778		1
1.43333333333333		1
1.44444444444444		2
1.475		1
1.49166666666667		1
1.50555555555556		1
1.51666666666667		1
1.52222222222222		1
1.53055555555556		1
1.56111111111111		1
1.56388888888889		1
1.56666666666667		1
1.57222222222222		1
1.59722222222222		2
1.61111111111111		1
1.63333333333333		1
1.66944444444444		1
1.67222222222222		1
1.68055555555556		2
1.69444444444444		2
1.71111111111111		2
1.71388888888889		1
1.73888888888889		1
1.775		2
1.78888888888889		1
1.79444444444444		1
1.80277777777778		1
1.83611111111111		1
1.85277777777778		1
1.85555555555556		1
1.86388888888889		1
1.86666666666667		1
1.88333333333333		1
1.89444444444444		2
1.90277777777778		1
1.90833333333333		1
1.92777777777778		1
1.93055555555556		1
1.96388888888889		2
1.97222222222222		1
1.97777777777778		1
1.98333333333333		2
1.98611111111111		1
1.99444444444444		1
2		1
2.01944444444444		2
2.025		2
2.03888888888889		1
2.04722222222222		1
2.09166666666667		3
2.10277777777778		1
2.10555555555556		1
2.11388888888889		1
2.13055555555556		1
2.13611111111111		1
2.13888888888889		1
2.14166666666667		1
2.14444444444444		1
2.16111111111111		1
2.16388888888889		1
2.16666666666667		1
2.16944444444444		1
2.17222222222222		2
2.175		1
2.17777777777778		1
2.18333333333333		2
2.18611111111111		2
2.18888888888889		1
2.19444444444444		1
2.19722222222222		1
2.21944444444444		1
2.22222222222222		1
2.22777777777778		1
2.23055555555556		1
2.23611111111111		1
2.25		1
2.25277777777778		1
2.28611111111111		1
2.28888888888889		1
2.29722222222222		2
2.31388888888889		1
2.32777777777778		1
2.33055555555556		1
2.33611111111111		1
2.33888888888889		1
2.34722222222222		1
2.35555555555556		4
2.36111111111111		1
2.38055555555556		2
2.38888888888889		1
2.39444444444444		1
2.39722222222222		1
2.4		1
2.40277777777778		1
2.41944444444444		1
2.425		1
2.43055555555556		1
2.43611111111111		1
2.43888888888889		3
2.44166666666667		1
2.45555555555556		1
2.46388888888889		1
2.48888888888889		1
2.50833333333333		1
2.51111111111111		1
2.51666666666667		1
2.53611111111111		1
2.55277777777778		1
2.56111111111111		1
2.56388888888889		1
2.56944444444444		1
2.58333333333333		1
2.58611111111111		1
2.59444444444444		1
2.6		3
2.61388888888889		1
2.61944444444444		1
2.62222222222222		1
2.62777777777778		1
2.64444444444444		1
2.65		2
2.65277777777778		1
2.65555555555556		1
2.66388888888889		3
2.66944444444444		1
2.67777777777778		1
2.68333333333333		1
2.70555555555556		1
2.71944444444444		1
2.72222222222222		1
2.73055555555556		2
2.73333333333333		1
2.74722222222222		1
2.75		1
2.75277777777778		1
2.76111111111111		2
2.76666666666667		1
2.775		1
2.78888888888889		1
2.79166666666667		1
2.79444444444444		1
2.8		1
2.80277777777778		1
2.825		1
2.82777777777778		1
2.83333333333333		2
2.84444444444444		1
2.85		1
2.86944444444444		1
2.88333333333333		1
2.88888888888889		1
2.89166666666667		1
2.90833333333333		1
2.91666666666667		1
2.91944444444444		1
2.92222222222222		1
2.92777777777778		2
2.94166666666667		2
2.94722222222222		1
2.95277777777778		1
2.95833333333333		2
2.96944444444444		2
2.975		1
2.98888888888889		2
2.99444444444444		1
2.99722222222222		1
3		2
3.01666666666667		1
3.01944444444444		1
3.02222222222222		1
3.02777777777778		1
3.03611111111111		1
3.03888888888889		1
3.04444444444444		1
3.05277777777778		2
3.05555555555556		1
3.06666666666667		2
3.07222222222222		1
3.07777777777778		1
3.08055555555556		1
3.08333333333333		1
3.09166666666667		1
3.09722222222222		1
3.1		1
3.10555555555556		1
3.11111111111111		1
3.11388888888889		1
3.12222222222222		1
3.13611111111111		1
3.13888888888889		1
3.15277777777778		1
3.15833333333333		1
3.16111111111111		1
3.16666666666667		1
3.17222222222222		1
3.17777777777778		2
3.20277777777778		1
3.20833333333333		1
3.22777777777778		1
3.23055555555556		1
3.23888888888889		1
3.24166666666667		1
3.26111111111111		1
3.26388888888889		1
3.26944444444444		2
3.27222222222222		1
3.275		1
3.27777777777778		1
3.28333333333333		1
3.28611111111111		1
3.28888888888889		1
3.29722222222222		1
3.30277777777778		1
3.30833333333333		1
3.31111111111111		1
3.31666666666667		1
3.31944444444444		1
3.325		2
3.33055555555556		1
3.33611111111111		3
3.33888888888889		1
3.36666666666667		1
3.37222222222222		1
3.38333333333333		1
3.39444444444444		2
3.39722222222222		1
3.40555555555556		1
3.41388888888889		2
3.41666666666667		2
3.41944444444444		1
3.42777777777778		1
3.45		2
3.45833333333333		1
3.46388888888889		1
3.46666666666667		2
3.46944444444444		2
3.47222222222222		1
3.48611111111111		1
3.49444444444444		3
3.49722222222222		2
3.5		1
3.50833333333333		1
3.51111111111111		1
3.51388888888889		1
3.51666666666667		1
3.525		1
3.52777777777778		1
3.53055555555556		1
3.53888888888889		1
3.54166666666667		1
3.54722222222222		1
3.55277777777778		1
3.55833333333333		2
3.56111111111111		1
3.575		2
3.58333333333333		1
3.58611111111111		1
3.58888888888889		2
3.59722222222222		1
3.60277777777778		2
3.61111111111111		1
3.61388888888889		1
3.61666666666667		4
3.625		1
3.63611111111111		2
3.63888888888889		2
3.64166666666667		1
3.64444444444444		1
3.64722222222222		2
3.65833333333333		3
3.66111111111111		1
3.66388888888889		1
3.66666666666667		1
3.67777777777778		1
3.70555555555556		1
3.70833333333333		1
3.71944444444444		1
3.72222222222222		1
3.725		1
3.72777777777778		1
3.73055555555556		1
3.73611111111111		1
3.74166666666667		1
3.75		1
3.75555555555556		1
3.76111111111111		1
3.76388888888889		1
3.76666666666667		1
3.76944444444444		1
3.77222222222222		1
3.78055555555556		4
3.79444444444444		3
3.80277777777778		1
3.80555555555556		1
3.80833333333333		1
3.81666666666667		2
3.825		1
3.83055555555556		2
3.84166666666667		1
3.84444444444444		2
3.84722222222222		1
3.85		1
3.85277777777778		1
3.86111111111111		1
3.88055555555556		1
3.88333333333333		1
3.88888888888889		2
3.89444444444444		1
3.89722222222222		2
3.90833333333333		1
3.91388888888889		1
3.92777777777778		1
3.93333333333333		2
3.93611111111111		1
3.93888888888889		1
3.94444444444444		1
3.95		1
3.95277777777778		1
3.95555555555556		1
3.95833333333333		1
3.96666666666667		2
3.97222222222222		1
3.97777777777778		2
3.98333333333333		1
3.98611111111111		1
3.98888888888889		1
4		4
4.00277777777778		3
4.00833333333333		2
4.01388888888889		3
4.01944444444444		1
4.02777777777778		1
4.03055555555556		2
4.03333333333333		1
4.03611111111111		2
4.05833333333333		1
4.06111111111111		1
4.06666666666667		1
4.06944444444444		2
4.08055555555556		1
4.10277777777778		3
4.10555555555556		1
4.11111111111111		1
4.11388888888889		1
4.11666666666667		1
4.11944444444444		2
4.12222222222222		1
4.125		1
4.14166666666667		1
4.14444444444444		1
4.15		1
4.15555555555556		1
4.15833333333333		1
4.16666666666667		3
4.16944444444444		1
4.17222222222222		1
4.175		1
4.17777777777778		1
4.18611111111111		2
4.18888888888889		2
4.19166666666667		2
4.19722222222222		1
4.2		1
4.20277777777778		2
4.21388888888889		1
4.21666666666667		1
4.22222222222222		3
4.22777777777778		1
4.23888888888889		1
4.24166666666667		1
4.24444444444444		1
4.24722222222222		1
4.25		1
4.25277777777778		1
4.25833333333333		1
4.26388888888889		1
4.275		1
4.28611111111111		1
4.29166666666667		2
4.29444444444444		1
4.29722222222222		1
4.30277777777778		1
4.31944444444444		1
4.32222222222222		2
4.325		1
4.33055555555556		1
4.33611111111111		1
4.34166666666667		1
4.35		1
4.35555555555556		1
4.37222222222222		1
4.375		1
4.38055555555556		3
4.38333333333333		2
4.38611111111111		1
4.39444444444444		1
4.40277777777778		1
4.41111111111111		1
4.41388888888889		1
4.41944444444444		1
4.42777777777778		1
4.43333333333333		1
4.43888888888889		1
4.44166666666667		1
4.44444444444444		3
4.45555555555556		1
4.45833333333333		1
4.46388888888889		1
4.46944444444444		1
4.47777777777778		3
4.48333333333333		1
4.48611111111111		1
4.48888888888889		2
4.50555555555556		1
4.50833333333333		1
4.51111111111111		1
4.52222222222222		2
4.52777777777778		1
4.53055555555556		2
4.53333333333333		1
4.54444444444444		3
4.55		1
4.55277777777778		2
4.57222222222222		2
4.58333333333333		2
4.58611111111111		1
4.6		1
4.60277777777778		1
4.62222222222222		1
4.63611111111111		2
4.64722222222222		1
4.65		1
4.66111111111111		3
4.66388888888889		1
4.66666666666667		2
4.66944444444444		1
4.69722222222222		2
4.70277777777778		1
4.71111111111111		1
4.71388888888889		1
4.725		1
4.74722222222222		1
4.75		3
4.75277777777778		1
4.76111111111111		1
4.76666666666667		2
4.76944444444444		1
4.77222222222222		1
4.775		1
4.78055555555556		1
4.80277777777778		2
4.81388888888889		1
4.825		1
4.82777777777778		1
4.83611111111111		1
4.85		1
4.85277777777778		1
4.85833333333333		2
4.86666666666667		1
4.87222222222222		1
4.88611111111111		1
4.88888888888889		1
4.9		2
4.90555555555556		1
4.91111111111111		1
4.91388888888889		1
4.91944444444444		2
4.93055555555556		2
4.94166666666667		1
4.94722222222222		1
4.95555555555556		2
4.95833333333333		1
4.96111111111111		1
4.96944444444444		1
4.975		3
4.97777777777778		1
5		4
5.00555555555556		2
5.01111111111111		1
5.01388888888889		2
5.03611111111111		1
5.05833333333333		1
5.06111111111111		1
5.07222222222222		2
5.08055555555556		2
5.09166666666667		1
5.09722222222222		2
5.10555555555556		1
5.10833333333333		2
5.11111111111111		1
5.11388888888889		1
5.12222222222222		1
5.13611111111111		1
5.14722222222222		1
5.15		1
5.16111111111111		2
5.16388888888889		1
5.16666666666667		1
5.16944444444444		1
5.17777777777778		1
5.18333333333333		2
5.18611111111111		1
5.19722222222222		1
5.2		1
5.20277777777778		1
5.20555555555556		1
5.21111111111111		1
5.21388888888889		1
5.21666666666667		1
5.22222222222222		1
5.22777777777778		1
5.23333333333333		1
5.24166666666667		2
5.25555555555556		1
5.275		1
5.28888888888889		1
5.29444444444444		1
5.29722222222222		1
5.30555555555556		1
5.30833333333333		2
5.31111111111111		1
5.31944444444444		2
5.32222222222222		1
5.325		1
5.32777777777778		1
5.33055555555556		1
5.34444444444444		1
5.34722222222222		1
5.35		2
5.35277777777778		1
5.375		1
5.38055555555556		1
5.39722222222222		1
5.40277777777778		1
5.41111111111111		1
5.41388888888889		1
5.425		3
5.43055555555556		1
5.43333333333333		1
5.43611111111111		1
5.45		1
5.47222222222222		1
5.47777777777778		1
5.48055555555556		2
5.48333333333333		2
5.49444444444444		1
5.49722222222222		1
5.50277777777778		1
5.51388888888889		2
5.51944444444444		1
5.52222222222222		2
5.52777777777778		1
5.54444444444444		1
5.56111111111111		1
5.56666666666667		1
5.59444444444444		1
5.59722222222222		2
5.61388888888889		1
5.61666666666667		1
5.62222222222222		1
5.62777777777778		1
5.63611111111111		2
5.64444444444444		1
5.64722222222222		2
5.65		1
5.66111111111111		1
5.67777777777778		1
5.68055555555556		1
5.68611111111111		1
5.69722222222222		1
5.7		1
5.70555555555556		1
5.71111111111111		1
5.71388888888889		1
5.71944444444444		2
5.72777777777778		2
5.74444444444444		2
5.74722222222222		1
5.76111111111111		2
5.76944444444444		1
5.775		1
5.77777777777778		1
5.78055555555556		1
5.81388888888889		1
5.81666666666667		1
5.82222222222222		1
5.825		2
5.82777777777778		1
5.83611111111111		1
5.84166666666667		1
5.85		1
5.88055555555556		1
5.88611111111111		1
5.91944444444444		1
5.92777777777778		1
5.94166666666667		1
5.94444444444444		1
5.95277777777778		1
5.96388888888889		1
5.96944444444444		1
5.98333333333333		1
5.98611111111111		2
6		4
6.01111111111111		1
6.01944444444444		1
6.02222222222222		1
6.03055555555556		1
6.05555555555556		2
6.06388888888889		1
6.07222222222222		1
6.08055555555556		1
6.08611111111111		1
6.09166666666667		1
6.09722222222222		1
6.10277777777778		1
6.11666666666667		1
6.13888888888889		1
6.14722222222222		1
6.175		1
6.19166666666667		1
6.20555555555556		2
6.23333333333333		1
6.24166666666667		2
6.27777777777778		1
6.3		1
6.30833333333333		1
6.31388888888889		1
6.31666666666667		2
6.31944444444444		1
6.33333333333333		1
6.35277777777778		1
6.37777777777778		1
6.38611111111111		1
6.38888888888889		1
6.40277777777778		1
6.40555555555556		1
6.41111111111111		3
6.41388888888889		1
6.42222222222222		1
6.45833333333333		1
6.46944444444444		1
6.53055555555556		1
6.53333333333333		1
6.59722222222222		1
6.6		1
6.63888888888889		1
6.65555555555556		1
6.65833333333333		1
6.675		1
6.70833333333333		1
6.73611111111111		1
6.75277777777778		1
6.76111111111111		1
6.775		1
6.79444444444444		1
6.80555555555556		1
6.81944444444444		1
6.82222222222222		1
6.86944444444444		1
6.9		1
6.93888888888889		1
6.95833333333333		1
6.97777777777778		1
7		5
7.02777777777778		2
7.11666666666667		1
7.13611111111111		1
7.14166666666667		1
7.175		1
7.17777777777778		1
7.18333333333333		1
7.18611111111111		1
7.21388888888889		1
7.21944444444444		1
7.23888888888889		1
7.25833333333333		1
7.275		1
7.3		1
7.31111111111111		1
7.33611111111111		1
7.34166666666667		1
7.39166666666667		1
7.50555555555556		1
7.52777777777778		1
7.60555555555556		1
7.63333333333333		1
7.64722222222222		1
7.71111111111111		1
7.73888888888889		1
7.80555555555556		1
7.83611111111111		1
7.84166666666667		2
7.91944444444444		1
7.95277777777778		1
8		13
8.01111111111111		1
8.04722222222222		1
8.09166666666667		1
8.1		1
8.10277777777778		1
8.11388888888889		1
8.18333333333333		1
8.42777777777778		1
8.50833333333333		1
8.575		1
8.58888888888889		1
8.68611111111111		1
8.725		1
8.73333333333333		1
8.78888888888889		1
8.98888888888889		1
9		11
9.03055555555556		1
9.10555555555556		1
9.18055555555556		1
9.22222222222222		2
9.275		1
9.3		2
9.31666666666667		1
9.51666666666667		1
9.525		1
9.59444444444444		1
9.65555555555556		1
9.79722222222222		1
9.90833333333333		1
10		29
10.1861111111111		1
10.2055555555556		1
10.3055555555556		1
10.3416666666667		1
10.3833333333333		1
10.4722222222222		1
10.6388888888889		1
10.7888888888889		1
10.8		1
10.8388888888889		1
10.9194444444444		1
11		9
11.65		1
11.9		1
11.9972222222222		1
12		23
12.3111111111111		1
12.525		1
13		30
13.7583333333333		1
13.7805555555556		1
13.975		1
14		31
14.2027777777778		1
14.3527777777778		1
14.6166666666667		1
14.6861111111111		1
14.8638888888889		1
15		182
15.5833333333333		1
15.7111111111111		1
16		45
16.6444444444444		1
16.6611111111111		1
16.8555555555556		1
17		60
18		65
18.8027777777778		1
19		57
19.9944444444444		1
20		489
20.2722222222222		1
21		57
22		71
23		69
23.2027777777778		1
24		43
25		506
26		45
27		58
28		87
29		35
30		938
30.0194444444444		1
31		18
32		44
33		31
34		30
35		627
36		39
37		51
38		58
39		27
40		1000
41		18
42		54
43		41
44		19
45		580
46		19
47		27
48		32
49		19
50		426
51		8
52		16
53		16
54		18
55		152
56		7
57		10
58		17
59		1
60		433
61		5
62		7
63		6
64		2
65		67
66		3
67		2
68		2
68.1694444444444		1
69		1
70		74
71		2
72		5
73		1
73.925		1
75		29
76		1
77		1
78		3
80		34
81		1
82.9277777777778		1
84		3
85		12
88		1
89		1
90		21
90.5444444444444		1
91		2
92		1
95		2
99		67
100		1
105		4
108		1
112		1
119		1
120		359
140		1
180		228
240		80
278		1
300		15
340		1
360		3
-99	DK/NA	22

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10101	22

Valid range from -1 to 360

I10DAY I.10. Day of the interview

Day of the interview

Value 12359		Frequency
-1	Not asked	1284
1		396
2		465
3		809
4		573
5		324
6		240
7		209
8		103
9		180
10		103
11		64
12		107
13		197
14		339
15		381
16		371
17		314
18		198
19		227
20		183
21		157
22		255
23		255
24		475
25		342
26		392
27		436
28		326
29		44
30		90
31		106
-99	DK/NA	178

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9945	178

Valid range from -1 to 31

I11MONTH I.11. Month of the interview

Month of the interview

Value 13358		Frequency
-1	Not asked	1284
1		11
2		4615
3		1910
4		1069
5		853
6		329
-99	DK/NA	52

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10071	52

Valid range from -1 to 6

I13PART I.13. Who participated at the interview

Knowing that in some situations it is not possible to isolate the respondent, PART. At the interview participated:

Value 14357		Frequency
1	the respondent alone	4829
2	the respondent and his/her spouse/partner	1384
3	the respondent and others SEL.	1337
4	telephone interview	1007
-99	DK/NA	219
Sysmiss		1347

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
8557	1566

Valid range from 1 to 4

I14SELEC I.11. The interview selection was done

The selection was done:

Value 15356		Frequency
1	from the electoral list CODS No. of voting section !_!_!	3110
2	from other lists (such as agricultural register )	3576
3	random route method	84
4	other methods, WHICH.....	3232
-99	DK/NA	121

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10002	121

Valid range from 1 to 4

I19IAGE I.19. Interviewer' s age DATA REGARDING THE OPERATOR WHO ACTUALLY APPLIED THE QUESTIONNAIRE !

OPVARS. Interviewer's age Interviewer' s date of birth !_!_! years

Value 16355		Frequency
-1	Recoded due to annonimiziation	2942
-99	DK/NA	7181

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
2942	7181

Valid range from -1 to -1

I21IGEND I.21. Interviewer's gender

OPSEX. Interviewer's gender

Value 17354		Frequency
-1	Recoded due to annonimiziation	2960
1	Male	0
2	Female	0
-99	DK/NA	7163

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
2960	7163

Valid range from -1 to 2

I22IEXPR I.22. Interviewer's years of experience

OPEXPER. Interviewer's years of experience !_!_! years

Value 18353		Frequency
-99	DK/NA	8507
-1	Recoded due to annonimiziation	1616

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10123	0

Valid range from -99 to -1

I23IEDUC I.23. Interviewer's education

OPSCOAL. Interviewer's education !_!_! USE CODES IN GRID 2, VARIABLE 2.4.

Value 19352		Frequency
-99	DK/NA	7205
-1	Recoded due to annonimiziation	2918

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10123	0

Valid range from -99 to -1

I25CN I.25.A Countries in geographic order

I.25. Country

Value 20351		Frequency
1	The United Kingdom	941
2	The Netherlands	1007
3	Sweden	1284
4	Slovenia	839
5	Czech Republic	1556
6	Hungary	1166
7	Romania	1524
8	Bulgaria	1806

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10123	0

Valid range from 1 to 8

S101AGE 1.01.A Age group Information about the respondent

1.01.a

Value 21350		Frequency
1	Young People, 18-29	2298
2	Mature People, 30-59	6967
3	Old People, 60-65	858

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10123	0

Valid range from 1 to 3

S101BRTH 1.01.B Respondent age (according to last birthday)

Q1.1 What was your age last birthday? (write in years)

Value 22349		Frequency
18	18 years	120
19	19 years	148
20	(...)	180
21		183
22		191
23		209
24		188
25		207
26		221
27		192
28		232
29		227
30		245
31		220
32		212
33		258
34		190
35		240
36		199
37		228
38		240
39		256
40		232
41		220
42		256
43		253
44		198
45		295
46		240
47		248
48		244
49		231
50		254
51		222
52		251
53		267
54		225
55		191
56		204
57		215
58		239
59		194
60		174
61		175
62		156
63		128
64		106
65	65 years	119

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10123	0

Valid range from 18 to 65

S101CBY 1.01.C Respondent's year of birth

Q1.1.1 Date of birth.

Value 23348		Frequency
1936	year 1936	119
1937	year 1937	121
1938	(...)	139
1939		153
1940		171
1941		173
1942		210
1943		239
1944		206
1945		204
1946		204
1947		228
1948		259
1949		247
1950		230
1951		242
1952		233
1953		247
1954		242
1955		244
1956		297
1957		196
1958		251
1959		249
1960		229
1961		248
1962		240
1963		243
1964		225
1965		201
1966		251
1967		187
1968		241
1969		225
1970		212
1971		239
1972		236
1973		233
1974		197
1975		208
1976		206
1977		188
1978		221
1979		180
1980		199
1981		154
1982		154
1983	year 1983	102

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10123	0

Valid range from 1936 to 1983

S102GEND 1.02. Respondent?s gender

Q1.2. Respondent's gender

Value 24347		Frequency
1	male	4773
2	female	5350

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10123	0

Valid range from 1 to 2

S103EDUC 1.03. Highest successfully completed level of education

Q1.3. What is your highest successfully completed level of education? TO BE USED THE SAME CATEGORIES AS IN THE HOUSEHOLD GRID CHOOSE ONE CODE ONLY ISCED codes Exact list to be supplied by each Principal Investigator

Value 25346		Frequency
0	Pre-primary education	317
1	Primary education	1007
2	Lower secondary education	2054
3	Secondary education	3709
4	Post -secondary education	1107
5	First stage of tertiary education	1178
6	Second stage of tertiary education	709
-99	DK/NA	42

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10081	42

Valid range from 0 to 6

S103EG 1.03. Education

Q1.3.1 Education

Value 26345		Frequency
0	Primary Education	1324
1	Secondary Education	6870
2	Tertiary Education	1887
-99	DK/NA	42

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
10081	42

Valid range from 0 to 2

S104EDAD 1.04. Any additional educational courses in the last 12 months by attending school, University, vocational education, training or other course

Q1.4. Have you undertaken any additional educational courses in the last 12 months by attending school, University, vocational education, training or other course? INCLUDE PART TIME AND SHORT COURSES, ALSO WORK AND NON-WORK RELATED.

Value 27344		Frequency
-99	DK/NA	2217
1	yes	1896
0	no	6010

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
4113	6010

Valid range from -99 to 1

S105INCA 1.05.A Wage or salary (income source) Q1.05 Please tell me all the different sources of income that you had in the month of (LAST MONTH). MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY Code

Q1.05.1 Wage or salary

Value 28343		Frequency
-98	DK/NA	13
-97	None, the respondent had no income last month	851
0	No	3661
1	Yes	5469
-99	DK/NA (whole v1.05 response set)	129

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9994	129

Valid range from -98 to 1

S105INCB 1.05.B Self employed earnings (income source) Q1.05 Please tell me all the different sources of income that you had in the month of (LAST MONTH). MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY Code

Q1.05.2 Self employed earnings

Value 29342		Frequency
-98	DK/NA	36
-97	None, the respondent had no income last month	851
0	No	8365
2	Yes	742
-99	DK/NA (whole v1.05 response set)	129

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9994	129

Valid range from -98 to 2

S105INCC 1.05.C Income from additional jobs (can be occasional and / or casual work ) Q1.05 Please tell me all the different sources of income that you had in the month of (LAST MONTH). MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY Code

Q1.05.3 Income from additional jobs (can be occasional and / or casual work )

Value 30341		Frequency
-98	DK/NA	42
-97	None, the respondent had no income last month	851
0	No	8548
3	Yes	553
-99	DK/NA (whole v1.05 response set)	129

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9994	129

Valid range from -98 to 3

S105INCD 1.05.D Income from own farming or agricultural production (including produce) Q1.05 Please tell me all the different sources of income that you had in the month of (LAST MONTH). MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY Code

Q1.05.4 Income from own farming or agricultural production (including produce)

Value 31340		Frequency
-98	DK/NA	44
-97	None, the respondent had no income last month	851
0	No	8760
4	Yes	339
-99	DK/NA (whole v1.05 response set)	129

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9994	129

Valid range from -98 to 4

S105INCE 1.05.E Pension (income source) Q1.05 Please tell me all the different sources of income that you had in the month of (LAST MONTH). MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY Code

Q1.05.5 Pension

Value 32339		Frequency
-98	DK/NA	38
-97	None, the respondent had no income last month	851
0	No	7556
5	Yes	1549
-99	DK/NA (whole v1.05 response set)	129

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9994	129

Valid range from -98 to 5

S105INCF 1.05.F Unemployment benefit (income source) Q1.05 Please tell me all the different sources of income that you had in the month of (LAST MONTH). MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY Code

Q1.05.6 Unempolyment benefit

Value 33338		Frequency
-98	DK/NA	44
-97	None, the respondent had no income last month	851
0	No	8581
6	Yes	518
-99	DK/NA (whole v1.05 response set)	129

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9994	129

Valid range from -98 to 6

S105INCG 1.05.G Grant or scholarship for education and training, including loans (income source) Q1.05 Please tell me all the different sources of income that you had in the month of (LAST MONTH). MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY Code

Q1.05.7 Grant or scholarship for education and training, including loans

Value 34337		Frequency
-98	DK/NA	47
-97	None, the respondent had no income last month	851
0	No	8852
7	Yes	244
-99	DK/NA (whole v1.05 response set)	129

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9994	129

Valid range from -98 to 7

S105INCH 1.05.H Other social transfers (e.g. child allowance, parental leave) (income source) Q1.05 Please tell me all the different sources of income that you had in the month of (LAST MONTH). MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY Code

Q1.05.8 Other social transfers (e.g. child allowance, parental leave)

Value 35336		Frequency
-98	DK/NA	44
-97	None, the respondent had no income last month	851
0	No	7637
8	Yes	1462
-99	DK/NA (whole v1.05 response set)	129

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9994	129

Valid range from -98 to 8

S105INCI 1.05.I Income from investments, savings or rents from properties (income source) Q1.05 Please tell me all the different sources of income that you had in the month of (LAST MONTH). MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY Code

Q1.05.9 Income from investments, savings or rents from properties

Value 36335		Frequency
-98	DK/NA	48
-97	None, the respondent had no income last month	851
0	No	8850
9	Yes	245
-99	DK/NA (whole v1.05 response set)	129

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9994	129

Valid range from -98 to 9

S105INCJ 1.05.J Profit from a business (income source) Q1.05 Please tell me all the different sources of income that you had in the month of (LAST MONTH). MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY Code

Q1.05.10 Profit from a business

Value 37334		Frequency
-98	DK/NA	51
-97	None, the respondent had no income last month	851
0	No	8923
10	Yes	169
-99	DK/NA (whole v1.05 response set)	129

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9994	129

Valid range from -98 to 10

S105INCK 1.05.K Private transfers (e.g. alimony, or payment from others such as parents) (income source) Q1.05 Please tell me all the different sources of income that you had in the month of (LAST MONTH). MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY Code

Q1.05.11 Private transfers (e.g. alimony, or payment from others such as parents)

Value 38333		Frequency
-98	DK/NA	49
-97	None, the respondent had no income last month	851
0	No	8817
11	Yes	277
-99	DK/NA (whole v1.05 response set)	129

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9994	129

Valid range from -98 to 11

S105INCM 1.05.M Other income sources Q1.05 Please tell me all the different sources of income that you had in the month of (LAST MONTH). MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY Code

Q1.05.12 Other sources

Value 39332		Frequency
-98	DK/NA	50
-97	None, the respondent had no income last month	851
0	No	8753
12	Yes	340
-99	DK/NA (whole v1.05 response set)	129

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9994	129

Valid range from -98 to 12

S106EMPA 1.06.A Employed full time (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.1 Employed full time

Value 40331		Frequency
-99	DK/NA (whole v1.06 response set)	812
0	No	4831
1	Yes	4139
-1	Not asked	341

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9782	341

Valid range from -99 to 1

S106EMPB 1.06.B Employed part time (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.2 Employed part time

Value 41330		Frequency
-99	DK/NA (whole v1.06 response set)	812
0	No	8424
2	Yes	546
-1	Not asked	341

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9782	341

Valid range from -99 to 2

S106EMPC 1.06.C Employed on fixed contract (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.3 Employed on fixed contract

Value 42329		Frequency
-99	DK/NA (whole v1.06 response set)	812
0	No	8781
3	Yes	189
-1	Not asked	341

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9782	341

Valid range from -99 to 3

S106EMPD 1.06.D In employment but temporarily laid off (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.4 In employment but temporarily laid off

Value 43328		Frequency
0	No	9251
4	Yes	60
-99	DK/NA (whole v1.06 response set)	812

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9311	812

Valid range from 0 to 4

S106EMPE 1.06.E Self employed (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.5 Self employed

Value 44327		Frequency
0	No	8623
5	Yes	688
-99	DK/NA (whole v1.06 response set)	812

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9311	812

Valid range from 0 to 5

S106EMPF 1.06.F Casual worker, working from on a day to day arrangement (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.6 Casual worker (working from on a day to day arrangement)

Value 45326		Frequency
-99	DK/NA (whole v1.06 response set)	812
0	No	8713
6	Yes	257
-1	Not asked	341

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9782	341

Valid range from -99 to 6

S106EMPG 1.06.G Farmer (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.7 Farmer

Value 46325		Frequency
0	No	8930
7	Yes	381
-99	DK/NA (whole v1.06 response set)	812

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9311	812

Valid range from 0 to 7

S106EMPH 1.06.H Pupil/student / in education or training (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.8 Pupil/student / in education or training

Value 47324		Frequency
0	No	8745
8	Yes	566
-99	DK/NA (whole v1.06 response set)	812

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9311	812

Valid range from 0 to 8

S106EMPI 1.06.I Government training scheme (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.9 Government training scheme

Value 48323		Frequency
0	No	9289
9	Yes	22
-99	DK/NA (whole v1.06 response set)	812

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9311	812

Valid range from 0 to 9

S106EMPJ 1.06.J Unpaid worker in family business (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.10 Unpaid worker in family business

Value 49322		Frequency
0	No	9273
10	Yes	38
-99	DK/NA (whole v1.06 response set)	812

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9311	812

Valid range from 0 to 10

S106EMPK 1.06.K Unemployed (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.11 Unemployed (IN SOME COUNTRIES YOU MAY WANT TO DIVIDE THIS BY REGISTERED AND NON-REGISTERED UNEMPLOYED)

Value 50321		Frequency
0	No	8174
11	Yes	1137
-99	DK/NA (whole v1.06 response set)	812

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9311	812

Valid range from 0 to 11

S106EMPL 1.06.L Registered unemployed (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.12 Registered unemployed (type of employment)

Value 51320		Frequency
-99	DK/NA (whole v1.06 response set)	812
0	No	3665
110	Yes	242
-1	Not asked (See variable: s106empk)	5404

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
4719	5404

Valid range from -99 to 110

S106EMPM 1.06.M Non-registered unemployed (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.13 Non-registered unemployed (type of employment)

Value 52319		Frequency
-99	DK/NA (whole v1.06 response set)	812
0	No	3816
111	Yes	91
-1	Not asked (See variable: s106empk)	5404

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
4719	5404

Valid range from -99 to 111

S106EMPN 1.06.N Retired from paid work (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.14 Retired from paid work

Value 53318		Frequency
0	No	8105
12	Yes	1206
-99	DK/NA (whole v1.06 response set)	812

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9311	812

Valid range from 0 to 12

S106EMPO 1.06.O Housekeeper (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.15 Housekeeper

Value 54317		Frequency
0	No	8763
13	Yes	548
-99	DK/NA (whole v1.06 response set)	812

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9311	812

Valid range from 0 to 13

S106EMPP 1.06.P Sick or disabled (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.16 Sick or disabled

Value 55316		Frequency
0	No	8995
14	Yes	316
-99	DK/NA (whole v1.06 response set)	812

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9311	812

Valid range from 0 to 14

S106EMPQ 1.06.Q Other (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.17 Other

Value 56315		Frequency
0	No	9183
15	Yes	128
-99	DK/NA (whole v1.06 response set)	812

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9311	812

Valid range from 0 to 15

S106EMPR 1.06.R - DK/NA (type of employment) Q1.6 Please tell us which of the following applies to you? PROVIDE AN APPROPIATE EXAMPLE FOR YOUR COUNTRY. FOR INSTANCE A PENSIONER WHO ALSO WORKS IN AGRICULTURE CODE 5 AND 12 MULTIPLE RESPONSE - PLEASE CODE ALL THAT APPLY. Code

Q1.6.18 DK/NA

Value 57314		Frequency
0	No	9311
-99	DK/NA	812

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9311	812

Valid range from -99 to 0

S107EIAA 1.07.A Number of income-earning activities currently Individual flexibility (time, place, conditions) Now we would like to ask you a few questions about your economic activities. Many people nowadays perform several activities which bring them money, products or services in return. This can include part time jobs, full time jobs, irregular or occasional activities.

Could you tell me how many economic income-earning activities you have had in the last 12 months? ASK ALL RESPONDENTS, NOT JUST THOSE IN EMPLOYMENT

Value 58313		Frequency
-99	Don`t know/answer IF THE ANSWER IS 0 (NO ACTIVITIES) OR 99 (NK/NA) SKIP TO SECTION 2	2745
0		1425
1		3193
2		336
3		49
4		7
5		2
6		1
7		1
10		1
-1	Not asked	2363

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
7760	2363	-99	10	-34.495	47.729

Valid range from -99 to 10

S107EIAB 1.07.B Number of income-earning activities in last 12 months

Q1.7.2 Number of activities in last 12 months

Value 59312		Frequency
0		3060
1		5713
2		897
3		190
4		30
5		18
6		5
7		2
8		4
9		1
-99	Don`t know/answer 37 IF THE ANSWER IS 0 (NO ACTIVITIES) OR 99 (NK/NA) SKIP TO SECTION 2	203

Valid cases	Invalid cases	Minimum	Maximum	Arithmetic mean	Standard deviation
9920	203	0	9	0.844	0.744