Codebook for the MIGWELL Database
Abstract
This codebook refers to the dataset "MIGWELL: Survey Data from Austria and Hungary" available on Zenodo (DOI: 10.5281/zenodo.17936625). It provides descriptions of all variables included in the dataset, including variable names, labels, value meanings, and frequency tables.
Full text
Codebook for the MIGWELL Database Dávid Sümeghy 2025
This document was developed in the context of the project MIGWELL – Well-being and Migration: the Hungary – Austria Migration Nexus Work Package 3: ‘Additional Surveys’ MIGWELL is an FWF–NKFIH International Joint Project. In Austria the project is funded by the Austrian Science Fund. In Hungary the project has been implemented with the support provided by the National Research, Development and Innovation Fund (Ministry of Innovation and Technology of Hungary), financed under the ANN funding scheme. Project code: I 5616 (in Austria), 139465 (in Hungary) Project duration: 01.02.2022 – 31.07.2025 (in Austria), 01.12.2021 – 31.05.2025 (in Hungary) Project Partners: Institute for Urban and Regional Research at the Austrian Academy of Sciences Centre for Empirical Social Research at the Corvinus University of Budapest Department of Finno-Ugrian Studies, University of Vienna Scientific Advisory Board: Department of Sociology, University of Vienna Hungarian Demographic Research Institute Hungarian Central Statistical Office MIGWELL’s website: LINK The database is available via Zenodo: https://doi.org/10.5281/zenodo.17936625 Inquiries can be directed to: Institute for Urban and Regional Research at the Austrian Academy of Sciences, [email protected] or Centre for Empirical Social Research at the Corvinus University of Budapest, [email protected]
MIGWELL Survey data Codebook Column Attributes: 1 Column name: source Question in AT survey: Question in HU surveys: Further information: Source of the data Data type: Character Unique non-missing value count: 3 Missing value count: 0 Categories Frequency Cumulative Frequency Percent Szociograf_boost 375 375 22.22 Szociograf_representati ve 1,003 1,378 59.42 Triconsult 310 1,688 18.36 2 Column name: year Question in AT survey: Question in HU surveys: Further information: Year of data collection Data type: Character Unique non-missing value count: 2 Missing value count: 0 Categories Frequency Cumulative Frequency Percent 2023 1,003 1,003 59.42 2024 685 1,688 40.58 3 Column name: method Question in AT survey: Question in HU surveys:
Further information: Method of data collection Data type: Character Unique non-missing value count: 2 Missing value count: 1,378 Categories Frequency Cumulative Frequency Percent CAPI 226 226 13.39 WAPI 84 310 4.98 Missing 1,378 1,688 81.64 4 Column name: country Question in AT survey: Question in HU surveys: Further information: Country of data collection Data type: Character Unique non-missing value count: 2 Missing value count: 0 Categories Frequency Cumulative Frequency Percent AT 310 310 18.36 HU 1,378 1,688 81.64 5 Column name: pid Question in AT survey: Question in HU surveys: Further information: Participant id Data type: Character Unique non-missing value count: 1,378 Missing value count: 0 Categories with Smallest Values Frequency Categories with Largest Values Frequency 1000 1 95 2 1001 1 96 2
1002 1 97 2 1003 1 98 2 2001 1 99 2 6 Column name: wobs Question in AT survey: Question in HU surveys: Further information: Survey weight Data type: Numeric Unique non-missing value count: 395 Missing value count: 375 Min Mean Median Max SD 0.39 1.00 1.00 2.44 0.39 7 Column name: selfeconstat_1 Question in AT survey: Question in HU surveys: Further information: Economic status (level 1 derived from level 3) Data type: Factor Unique non-missing value count: 3 Missing value count: 4 Categories Frequency Cumulative Frequency Percent Active 1,297 1,297 76.84 Student 96 1,393 5.69 Inactive 291 1,684 17.24 Missing 4 1,688 0.24 8 Column name: selfeconstat_2 Question in AT survey: Question in HU surveys: Further information: Economic status (level 2 derived from level 3)
Data type: Factor Unique non-missing value count: 4 Missing value count: 4 Categories Frequency Cumulative Frequency Percent Employed 1,253 1,253 74.23 Student 96 1,349 5.69 Unemployed 44 1,393 2.61 Inactive 291 1,684 17.24 Missing 4 1,688 0.24 9 Column name: selfeconstat_3 Question in AT survey: Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 7 Missing value count: 4 Categories Frequency Cumulative Frequency Percent Employee 1,133 1,133 67.12 Self-employed 120 1,253 7.11 Unemployed 44 1,297 2.61 Student 96 1,393 5.69 Retired 185 1,578 10.96 Disabled 26 1,604 1.54 Other inactive 80 1,684 4.74 Missing 4 1,688 0.24 10 Column name: selfeconstat_3_szociograf Question in AT survey: Question in HU surveys: What is your current main activity?
Further information: Data type: Factor Unique non-missing value count: 10 Missing value count: 312 Categories with Smallest Values Frequency Categories with Largest Values Frequency take on occasional works 9 Self-employed 101 Disabled 26 Retired 183 Works in own/family business 39 Employee in the public sphere 204 Unemployed 39 Missing 312 Student 55 Employee in the private sphere 651 11 Column name: selfeconstat_3_triconsult Question in AT survey: In terms of economic activity, which group do you currently belong to? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 9 Missing value count: 1,380 Categories Frequency Cumulative Frequency Percent Employee in public sector 71 71 4.21 Employee in private sector 147 218 8.71 Entrepreneur 14 232 0.83 Work in own / family business 5 237 0.30 Unemployed 5 242 0.30 Student 41 283 2.43 Retired 2 285 0.12
Other inactive 11 296 0.65 Occasional works 12 308 0.71 Missing 1,380 1,688 81.75 12 Column name: isco08_self Question in AT survey: Question in HU surveys: Further information: ISCO-08 Answers Data type: Character Unique non-missing value count: 634 Missing value count: 310 Categories with Smallest Values Frequency Categories with Largest Values Frequency ADMINISZTRÁTO 1 Operátor 20 ADMINISZTRÁTOR 1 Tanár 20 APEH REVIZOR 1 Tanuló 27 ATEV Zrt 1 Eladó 63 AUTÓ SZERELŐ 1 Missing 310 13 Column name: isco08_1 Question in AT survey: What is your current profession? (If you don’t have now: When you worked last time, what was your last profession?) Question in HU surveys: What is your current profession? (If you don’t have now: When you worked last time, what was your last profession?) Further information: ISCO-08 Categorisation by the interviewer Data type: Factor Unique non-missing value count: 11 Missing value count: 88 Categories with Smallest Values Frequency Categories with Largest Values Frequency Armed Forces Occupations 14 Elementary Occupations 151
Managers 17 Clerical Support Workers 178 Skilled Agricultural, Forestry and Fishery Workers 54 Technicians and Associate Professionals 190 Currently I don’t have job, and I did not have previously. 69 Craft and Related Trades Workers 252 Missing 88 Service and Sales Workers 473 14 Column name: isco08_1_feor Question in AT survey: Question in HU surveys: Further information: ISCO-08 Answers double-checked using FEOR.HU Data type: Factor Unique non-missing value count: 11 Missing value count: 337 Categories with Smallest Values Frequency Categories with Largest Values Frequency Armed Forces Occupations 6 Plant and Machine Operators, and Assemblers 141 Skilled Agricultural, Forestry and Fishery Workers 32 Technicians and Associate Professionals 156 Managers 42 Craft and Related Trades Workers 228 Currently I don’t have job, and I did not have previously. 66 Service and Sales Workers 280 Elementary Occupations 124 Missing 337 15 Column name: publwork Question in AT survey: Question in HU surveys: Are you currently a public worker
Secondary: vocational school, vocational certificate 463 613 27.43 Secondary: school leaving certificate without or with vocational qualification 545 1,158 32.29 Tertiary: higher vocational certificate, college or university diploma, scientific (PhD or DLA) degree 220 1,378 13.03 Missing 310 1,688 18.36 29 Column name: educ_triconsult Question in AT survey: What is your highest completed level of education? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 1,379 Categories Frequency Cumulative Frequency Percent No education 2 2 0.12 Primary 14 16 0.83 Secondary: vocational 69 85 4.09 Secondary: certificate 107 192 6.34 Tertiary 117 309 6.93 Missing 1,379 1,688 81.69 30 Column name: lang Question in AT survey: Question in HU surveys: How many languages (including your native language(s)) do you speak well enough to take part in a conversation? Further information:
Data type: Factor Unique non-missing value count: 4 Missing value count: 310 Categories Frequency Cumulative Frequency Percent 1 819 819 48.52 2 437 1,256 25.89 3+ 72 1,328 4.27 Don't speak any language 50 1,378 2.96 Missing 310 1,688 18.36 31 Column name: german Question in AT survey: What is your level of German, your ability to understand others and to make yourself understood? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 1,378 Categories Frequency Cumulative Frequency Percent Not at all 4 4 0.24 Basic level 31 35 1.84 Level of conversation 89 124 5.27 Advanced level 111 235 6.58 Native level 75 310 4.44 Missing 1,378 1,688 81.64 32 Column name: gender Question in AT survey: Gender Question in HU surveys: Gender Further information: Other converted to NA
Data type: Factor Unique non-missing value count: 2 Missing value count: 3 Categories Frequency Cumulative Frequency Percent Male 805 805 47.69 Female 880 1,685 52.13 Missing 3 1,688 0.18 33 Column name: gender_nb_added Question in AT survey: Gender Question in HU surveys: Gender Further information: Other kept Data type: Factor Unique non-missing value count: 3 Missing value count: 1,378 Categories Frequency Cumulative Frequency Percent Male 140 140 8.29 Female 167 307 9.89 Other 3 310 0.18 Missing 1,378 1,688 81.64 34 Column name: age Question in AT survey: Question in HU surveys: Further information: Year of survey minus year of birth Data type: Numeric Unique non-missing value count: 69 Missing value count: 0 Min Mean Median Max SD 18.00 43.60 43.00 88.00 15.77
35 Column name: agecat Question in AT survey: Question in HU surveys: Further information: Age categorised Data type: Factor Unique non-missing value count: 7 Missing value count: 0 Categories Frequency Cumulative Frequency Percent 16-25 248 248 14.69 26-35 361 609 21.39 36-45 345 954 20.44 46-55 354 1,308 20.97 56-65 201 1,509 11.91 66-75 126 1,635 7.46 75+ 53 1,688 3.14 36 Column name: agecat_szociograf Question in AT survey: Question in HU surveys: Further information: Age categorised by the company Data type: Factor Unique non-missing value count: 5 Missing value count: 310 Categories Frequency Cumulative Frequency Percent 18-29 297 297 17.59 30-39 250 547 14.81 40-49 274 821 16.23 50-59 263 1,084 15.58 60+ 294 1,378 17.42 Missing 310 1,688 18.36
37 Column name: nuts1 Question in AT survey: Question in HU surveys: Further information: NUTS1 derived from NUTS2/3 Data type: Factor Unique non-missing value count: 3 Missing value count: 310 Categories Frequency Cumulative Frequency Percent Central Hungary 428 428 25.36 Great Plain and North 536 964 31.75 Transdanubia 414 1,378 24.53 Missing 310 1,688 18.36 38 Column name: nuts2 Question in AT survey: Federal province Question in HU surveys: Further information: NUTS2 derived from NUTS3 in HU Data type: Factor Unique non-missing value count: 17 Missing value count: 0 Categories with Smallest Values Frequency Categories with Largest Values Frequency Carinthia 9 Northern Hungary 157 Vorarlberg 9 Pest 174 Salzburg 21 Southern Great Plain 180 Tyrol 24 Northern Great Plain 199 Burgenland 26 Budapest 254 39 Column name: nuts3 Question in AT survey:
Question in HU surveys: County Further information: Data type: Factor Unique non-missing value count: 20 Missing value count: 310 Categories with Smallest Values Frequency Categories with Largest Values Frequency Nógrád 14 Hajdú-Bihar 81 Somogy 29 Csongrád-Csanád 104 Vas 31 Pest 174 Komárom-Esztergom 32 Budapest 254 Bács-Kiskun 37 Missing 310 40 Column name: address_hu Question in AT survey: Do you have a registered address in Hungary? (Residence card: permanent or temporary) Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,391 Categories Frequency Cumulative Frequency Percent Yes 194 194 11.49 No 103 297 6.10 Missing 1,391 1,688 82.41 41 Column name: nuts3_pre Question in AT survey: Which county do you have (or did you have the last) address in Hungary? Question in HU surveys: Further information: Data type: Factor
Unique non-missing value count: 20 Missing value count: 1,404 Categories with Smallest Values Frequency Categories with Largest Values Frequency Nógrád 2 Komárom-Esztergom 19 Fejér 3 Szabolcs-SzatmárBereg 28 Békés 4 Györ-Moson-Sopron 32 Borsod-Abaúj-Zemplén 4 Budapest 90 Hajdú-Bihar 4 Missing 1404 42 Column name: settlement_type Question in AT survey: Question in HU surveys: This settlement where you live is a Further information: Data type: Factor Unique non-missing value count: 6 Missing value count: 310 Categories Frequency Cumulative Frequency Percent község 379 379 22.45 nagyközség 19 398 1.13 város 464 862 27.49 megyei jogú város 10 872 0.59 megyeszékhely 252 1,124 14.93 fővárosi kerület 254 1,378 15.05 Missing 310 1,688 18.36 43 Column name: place_brth Question in AT survey: Question in HU surveys: Do you live at the same settlement as in your childhood? Further information:
Data type: Factor Unique non-missing value count: 2 Missing value count: 310 Categories Frequency Cumulative Frequency Percent Yes 981 981 58.12 No 397 1,378 23.52 Missing 310 1,688 18.36 44 Column name: place_move Question in AT survey: Question in HU surveys: Do you plan to move to another settlement? Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 341 Categories Frequency Cumulative Frequency Percent Yes 236 236 13.98 No 1,111 1,347 65.82 Missing 341 1,688 20.20 45 Column name: household_location Question in AT survey: Question in HU surveys: Further information: Location of household(s) Data type: Factor Unique non-missing value count: 2 Missing value count: 1,378 Categories Frequency Cumulative Frequency Percent HH in AT only 246 246 14.57 HH in AT and HU 64 310 3.79
Missing 1,378 1,688 81.64 46 Column name: hhsize Question in AT survey: Question in HU surveys: Further information: Sum of hhsize_at and hhsize_hu Data type: Numeric Unique non-missing value count: 9 Missing value count: 310 Min Mean Median Max SD 1.00 2.72 3.00 9.00 1.18 47 Column name: hhsize_at Question in AT survey: How many people are living in your household in Austria? Question in HU surveys: Further information: Data type: Numeric Unique non-missing value count: 6 Missing value count: 1,378 Min Mean Median Max SD 1.00 2.29 2.00 6.00 1.15 48 Column name: hhsize_hu Question in AT survey: How many people are living in your household in Hungary? Question in HU surveys: How many people are living in your household? Further information: Data type: Numeric Unique non-missing value count: 6 Missing value count: 1,378
Min Mean Median Max SD 0.00 0.44 0.00 5.00 1.02 49 Column name: children6 Question in AT survey: Question in HU surveys: And how many of them are below 6 years old? Further information: Data type: Numeric Unique non-missing value count: 4 Missing value count: 1,219 Categories Frequency Cumulative Frequency Percent 0 327 327 19.37 1 118 445 6.99 2 23 468 1.36 3 1 469 0.06 Missing 1,219 1,688 72.22 50 Column name: children18 Question in AT survey: Question in HU surveys: And how many children below 18 years usually live in your household? Further information: Data type: Numeric Unique non-missing value count: 6 Missing value count: 485 Min Mean Median Max SD 0.00 0.55 0.00 5.00 0.86 51 Column name: children Question in AT survey: How many dependent children (without own income) do you have?
Data type: Factor Unique non-missing value count: 2 Missing value count: 1,378 Categories Frequency Cumulative Frequency Percent Not marked 304 304 18.01 Marked 6 310 0.36 Missing 1,378 1,688 81.64 66 Column name: live_other_relative Question in AT survey: Who do you live together in a flat in Austria? - Other of my relatives Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,378 Categories Frequency Cumulative Frequency Percent Not marked 306 306 18.13 Marked 4 310 0.24 Missing 1,378 1,688 81.64 67 Column name: live_friend_colleague Question in AT survey: Who do you live together in a flat in Austria? - Friends, colleagues Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,378 Categories Frequency Cumulative Frequency Percent Not marked 287 287 17.00
Marked 23 310 1.36 Missing 1,378 1,688 81.64 68 Column name: live_other Question in AT survey: Who do you live together in a flat in Austria? - Other persons Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,378 Categories Frequency Cumulative Frequency Percent Not marked 305 305 18.07 Marked 5 310 0.30 Missing 1,378 1,688 81.64 69 Column name: live_partner_number Question in AT survey: Question in HU surveys: Further information: Count of live_partner Data type: Numeric Unique non-missing value count: 2 Missing value count: 1,378 Categories Frequency Cumulative Frequency Percent 0 128 128 7.58 1 182 310 10.78 Missing 1,378 1,688 81.64 70 Column name: live_child_under_6_number Question in AT survey: Question in HU surveys:
Further information: Count of live_child_under_6 Data type: Numeric Unique non-missing value count: 3 Missing value count: 1,378 Categories Frequency Cumulative Frequency Percent 0 281 281 16.65 1 19 300 1.13 2 10 310 0.59 Missing 1,378 1,688 81.64 71 Column name: live_child_under_18_number Question in AT survey: Question in HU surveys: Further information: Count of live_child_under_18 Data type: Numeric Unique non-missing value count: 5 Missing value count: 1,378 Min Mean Median Max SD 0.00 0.25 0.00 4.00 0.64 72 Column name: live_child_above_18_number Question in AT survey: Question in HU surveys: Further information: Count of live_child_above_18 Data type: Numeric Unique non-missing value count: 3 Missing value count: 1,378 Categories Frequency Cumulative Frequency Percent 0 292 292 17.30 1 12 304 0.71
2 6 310 0.36 Missing 1,378 1,688 81.64 73 Column name: live_parent_number Question in AT survey: Question in HU surveys: Further information: Count of live_partner Data type: Numeric Unique non-missing value count: 4 Missing value count: 1,378 Categories Frequency Cumulative Frequency Percent 0 300 300 17.77 1 3 303 0.18 2 6 309 0.36 4 1 310 0.06 Missing 1,378 1,688 81.64 74 Column name: live_brother_sister_number Question in AT survey: Question in HU surveys: Further information: Count of live_brother_sister Data type: Numeric Unique non-missing value count: 3 Missing value count: 1,378 Categories Frequency Cumulative Frequency Percent 0 304 304 18.01 1 5 309 0.30 2 1 310 0.06 Missing 1,378 1,688 81.64 75 Column name: live_other_relative_number
Question in AT survey: Question in HU surveys: Further information: Count of live_other_relative Data type: Numeric Unique non-missing value count: 4 Missing value count: 1,378 Categories Frequency Cumulative Frequency Percent 0 306 306 18.13 1 2 308 0.12 2 1 309 0.06 3 1 310 0.06 Missing 1,378 1,688 81.64 76 Column name: live_friend_colleague_number Question in AT survey: Question in HU surveys: Further information: Count of live_friend_colleague Data type: Numeric Unique non-missing value count: 5 Missing value count: 1,378 Min Mean Median Max SD 0.00 0.13 0.00 4.00 0.54 77 Column name: live_other_number Question in AT survey: Question in HU surveys: Further information: Count of live_other Data type: Character Unique non-missing value count: 5 Missing value count: 1,378
Categories Frequency Cumulative Frequency Percent 305 305 18.07 1 1 306 0.06 2 1 307 0.06 Lakotars 2 309 0.12 Lakótárs 1 310 0.06 Missing 1,378 1,688 81.64 78 Column name: rooms Question in AT survey: Total number of rooms in the dwelling your household lives in Austria (with the living room but without the kitchen and bathroom)? Question in HU surveys: Total number of rooms in the apartment your household lives (with living room but without kitchen and bathroom)? Further information: Data type: Numeric Unique non-missing value count: 6 Missing value count: 13 Min Mean Median Max SD 1.00 2.74 3.00 6.00 0.91 79 Column name: leaking Question in AT survey: Problems: Is the ceiling/plaster/flooring/foundation of your home leaking, damp, mouldy? Question in HU surveys: Problems: Is the ceiling/plaster/flooring/foundation of your home leaking, damp, mouldy? Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 4 Categories Frequency Cumulative Frequency Percent No 1,599 1,599 94.73
Yes 85 1,684 5.04 Missing 4 1,688 0.24 80 Column name: dark Question in AT survey: Problems: The apartment is not bright enough, the rooms are dark Question in HU surveys: Problems: The apartment is not bright enough, the rooms are dark Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1 Categories Frequency Cumulative Frequency Percent No 1,561 1,561 92.48 Yes 126 1,687 7.46 Missing 1 1,688 0.06 81 Column name: noise Question in AT survey: Problems: The apartment is not bright enough, the rooms are dark Question in HU surveys: Problems: The apartment is not bright enough, the rooms are dark Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1 Categories Frequency Cumulative Frequency Percent No 1,483 1,483 87.86 Yes 204 1,687 12.09 Missing 1 1,688 0.06 82 Column name: env_problem
Question in AT survey: Problems: Pollution, dust, other environmental problems (e.g. smoke, stench, soot, contaminated water) Question in HU surveys: Problems: Pollution, dust, other environmental problems (e.g. smoke, stench, soot, contaminated water) Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 3 Categories Frequency Cumulative Frequency Percent No 1,569 1,569 92.95 Yes 116 1,685 6.87 Missing 3 1,688 0.18 83 Column name: crime Question in AT survey: Problems: Poor public security, vandalism Question in HU surveys: Problems: Poor public security, vandalism Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 5 Categories Frequency Cumulative Frequency Percent No 1,615 1,615 95.68 Yes 68 1,683 4.03 Missing 5 1,688 0.30 84 Column name: health Question in AT survey: How is your health in general? Is it... Question in HU surveys: How is your health in general? Is it... Further information: Data type: Factor Unique non-missing value count: 5
Missing value count: 3 Categories Frequency Cumulative Frequency Percent Very bad 12 12 0.71 Bad 95 107 5.63 Fair 372 479 22.04 Good 752 1,231 44.55 Very good 454 1,685 26.90 Missing 3 1,688 0.18 85 Column name: restriction Question in AT survey: / In at least the past six months, to what extent have you been limited because of a health problem in activities people usually do? Question in HU surveys: In at least the past six months, to what extent have you been limited because of a health problem in activities people usually do? Further information: Data type: Factor Unique non-missing value count: 3 Missing value count: 9 Categories Frequency Cumulative Frequency Percent No 1,242 1,242 73.58 Yes 347 1,589 20.56 Strongly 90 1,679 5.33 Missing 9 1,688 0.53 86 Column name: covid Question in AT survey: How has the Covid-19 pandemic affected your life? Question in HU surveys: How has the Covid-19 pandemic affected your life? Further information: Data type: Factor Unique non-missing value count: 10
Missing value count: 5 Categories with Smallest Values Frequency Categories with Largest Values Frequency Missing 5 Some problems 106 It had a rather positive impact 10 It caused serious problems 110 Positive impact 21 Did not cause any problems at all 208 No problems 44 Did not cause any particular problems 520 Serious problems 52 It caused some problems 529 87 Column name: covid_job Question in AT survey: Due to the Covid-19 pandemic: have you lost your job? Question in HU surveys: Due to the Covid-19 pandemic: have you lost your job? Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 3 Categories Frequency Cumulative Frequency Percent Yes 163 163 9.66 No 1,522 1,685 90.17 Missing 3 1,688 0.18 88 Column name: covid_inc Question in AT survey: Due to the Covid-19 pandemic: has your income decreased? Question in HU surveys: Due to the Covid-19 pandemic: has your income decreased? Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 4
Missing 12 1,688 0.71 103 Column name: meet_friends Question in AT survey: Do you meet friends or relatives at least once a month to have a drink or a meal together? Question in HU surveys: Do you meet friends or relatives at least once a month to have a drink or a meal together? Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 7 Categories Frequency Cumulative Frequency Percent No 526 526 31.16 Yes 1,155 1,681 68.42 Missing 7 1,688 0.41 104 Column name: meet_friends2 Question in AT survey: Question in HU surveys: Further information: meet_friends no answers combined Data type: Factor Unique non-missing value count: 3 Missing value count: 7 Categories Frequency Cumulative Frequency Percent No - other reason 361 361 21.39 No - cannot afford it 165 526 9.77 Yes 1,155 1,681 68.42 Missing 7 1,688 0.41 105 Column name: friends_hu
Question in AT survey: Not counting your family, how many people are there in Hungary with whom you can discuss intimate and personal matters Question in HU surveys: Not counting your family, how many people are there with whom you can discuss intimate and personal matters? Further information: Data type: Numeric Unique non-missing value count: 16 Missing value count: 52 Min Mean Median Max SD 0.00 2.80 2.00 30.00 2.33 106 Column name: friends_at Question in AT survey: Not counting your family, how many people are there in Austria with whom you can discuss intimate and personal matters Question in HU surveys: Further information: Data type: Numeric Unique non-missing value count: 11 Missing value count: 1,394 Min Mean Median Max SD 0.00 2.55 2.00 20.00 2.70 107 Column name: friends_at_nat Question in AT survey: What are the nationalities of your friends and acquaintances in Austria? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 1,381
Categories Frequency Cumulative Frequency Percent Rather Hungarians 73 73 4.32 Rather Austrians 64 137 3.79 Rather other nationalities 22 159 1.30 Mixed: Hungarians, Austrian, others 148 307 8.77 Missing 1,381 1,688 81.81 108 Column name: friends_freq Question in AT survey: Question in HU surveys: What are the nationalities of your friends and acquaintances in Austria? Further information: Data type: Factor Unique non-missing value count: 7 Missing value count: 310 Categories Frequency Cumulative Frequency Percent Every day or almost every day 395 395 23.40 At least once a week 591 986 35.01 At least once a month 295 1,281 17.48 At least once a halfyear 63 1,344 3.73 At least once a year 5 1,349 0.30 Never 14 1,363 0.83 I don’t have such friends 15 1,378 0.89 Missing 310 1,688 18.36 109 Column name: visit_hu Question in AT survey: How often, how frequantly did you visit Hungary in the past 12 months (for personal reasons, for example to visit family or friends)?
Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 1,380 Categories Frequency Cumulative Frequency Percent Several times a month 37 37 2.19 Once a month 65 102 3.85 Once every 2 - 3 months 65 167 3.85 1 - 2 times 101 268 5.98 No visit in Hungary 40 308 2.37 Missing 1,380 1,688 81.75 110 Column name: civic_social Question in AT survey: Question in HU surveys: Member of Social, charitable organization Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 311 Categories Frequency Cumulative Frequency Percent Yes 42 42 2.49 No 1,335 1,377 79.09 Missing 311 1,688 18.42 111 Column name: civic_church Question in AT survey: Question in HU surveys: Member of Church, religious organization Further information: Data type: Factor
Unique non-missing value count: 2 Missing value count: 314 Categories Frequency Cumulative Frequency Percent Yes 80 80 4.74 No 1,294 1,374 76.66 Missing 314 1,688 18.60 112 Column name: civic_political Question in AT survey: Question in HU surveys: Member of Party, political organization Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 315 Categories Frequency Cumulative Frequency Percent Yes 24 24 1.42 No 1,349 1,373 79.92 Missing 315 1,688 18.66 113 Column name: civic_employee Question in AT survey: Question in HU surveys: Member of Trade union, employee representation Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 312 Categories Frequency Cumulative Frequency Percent Yes 128 128 7.58 No 1,248 1,376 73.93 Missing 312 1,688 18.48
114 Column name: civic_sport Question in AT survey: Question in HU surveys: Member of Sport, recreation or other cultural association Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 311 Categories Frequency Cumulative Frequency Percent Yes 122 122 7.23 No 1,255 1,377 74.35 Missing 311 1,688 18.42 115 Column name: civic_other Question in AT survey: Question in HU surveys: Other voluntary organisation Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 315 Categories Frequency Cumulative Frequency Percent Yes 12 12 0.71 No 1,361 1,373 80.63 Missing 315 1,688 18.66 116 Column name: civic_other2 Question in AT survey: Question in HU surveys: Further information: Given answer Data type: Character Unique non-missing value count: 8
Missing value count: 310 Categories Frequency Cumulative Frequency Percent 1,371 1,371 81.22 Egyházi 1 1,372 0.06 Főzőklub 1 1,373 0.06 Nyugdíjas Klub 1 1,374 0.06 Polgárörség 1 1,375 0.06 Polgárőrség 1 1,376 0.06 Sos krizisalapitvány 1 1,377 0.06 Énekkar 1 1,378 0.06 Missing 310 1,688 18.36 117 Column name: civic_at_cultural Question in AT survey: Yes, I am a member of a Hungarian cultural association in Austria Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,394 Categories Frequency Cumulative Frequency Percent Marked 15 15 0.89 Not marked 279 294 16.53 Missing 1,394 1,688 82.58 118 Column name: civic_at_other Question in AT survey: Yes, I am a member of some other organisation(s) - social, charitable, ecclesiastical, political, trade union, sport or cultural - in Austria Question in HU surveys: Further information: Data type: Factor
Unique non-missing value count: 2 Missing value count: 1,394 Categories Frequency Cumulative Frequency Percent Marked 77 77 4.56 Not marked 217 294 12.86 Missing 1,394 1,688 82.58 119 Column name: civic_at_no Question in AT survey: I am not a member of any association in Austria Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,388 Categories Frequency Cumulative Frequency Percent Marked 211 211 12.50 Not marked 89 300 5.27 Missing 1,388 1,688 82.23 120 Column name: vote Question in AT survey: In Austria, all EU citizens with a permanent address can vote in local elections. Do you plan to vote in the next local elections in Austria? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 3 Missing value count: 1,401 Categories Frequency Cumulative Frequency Percent Yes 152 152 9.00 No 128 280 7.58
No permanent address in Austria 7 287 0.41 Missing 1,401 1,688 83.00 121 Column name: harm_interest_contact Question in AT survey: Question in HU surveys: Harm of interest: would you contact a politician, government or local government official? Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 362 Categories Frequency Cumulative Frequency Percent Yes 186 186 11.02 No 1,140 1,326 67.54 Missing 362 1,688 21.45 122 Column name: harm_interest_petition Question in AT survey: Question in HU surveys: Harm of interest: would you sign a petition? Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 351 Categories Frequency Cumulative Frequency Percent Yes 343 343 20.32 No 994 1,337 58.89 Missing 351 1,688 20.79 123 Column name: harm_interest_media Question in AT survey:
Question in HU surveys: Harm of interest: would you turn to TV, radio, newspapers for help? Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 362 Categories Frequency Cumulative Frequency Percent Yes 163 163 9.66 No 1,163 1,326 68.90 Missing 362 1,688 21.45 124 Column name: harm_interest_legal_demonstration Question in AT survey: Question in HU surveys: Harm of interest: would you take part in a lawful public demonstration? Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 359 Categories Frequency Cumulative Frequency Percent Yes 236 236 13.98 No 1,093 1,329 64.75 Missing 359 1,688 21.27 125 Column name: harm_interest_demonstration_unallowed Question in AT survey: Question in HU surveys: Harm of interest: would you take part in a nonauthorized public demonstration? Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 360
Missing value count: 319 Categories Frequency Cumulative Frequency Percent Disagree completely 29 29 1.72 Disagree somewhat 96 125 5.69 Agree somewhat 390 515 23.10 Agree completely 854 1,369 50.59 Missing 319 1,688 18.90 141 Column name: att_migr5 Question in AT survey: Question in HU surveys: Agreememt with: Every person has the right to choose the country where he or she gets to thrive. Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 314 Categories Frequency Cumulative Frequency Percent Disagree completely 21 21 1.24 Disagree somewhat 105 126 6.22 Agree somewhat 376 502 22.27 Agree completely 872 1,374 51.66 Missing 314 1,688 18.60 142 Column name: att_migr6 Question in AT survey: Question in HU surveys: Agreememt with: Those who graduated in Hungary should pay back the cost of their degree if they move to work abroad. Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 336
Categories Frequency Cumulative Frequency Percent Disagree completely 496 496 29.38 Disagree somewhat 371 867 21.98 Agree somewhat 303 1,170 17.95 Agree completely 182 1,352 10.78 Missing 336 1,688 19.91 143 Column name: identity_occupation Question in AT survey: Question in HU surveys: Identity: Your current or previous occupation (or being a homemaker) Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 310 Categories Frequency Cumulative Frequency Percent First choice 264 264 15.64 Second choice 126 390 7.46 Third choice 105 495 6.22 Not marked 883 1,378 52.31 Missing 310 1,688 18.36 144 Column name: identity_nationality Question in AT survey: Question in HU surveys: Identity: Your nationality Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 310 Categories Frequency Cumulative Frequency Percent First choice 201 201 11.91
Second choice 71 272 4.21 Third choice 85 357 5.04 Not marked 1,021 1,378 60.49 Missing 310 1,688 18.36 145 Column name: identity_gender Question in AT survey: Question in HU surveys: Identity: Your gender (that is, being a man/woman) Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 310 Categories Frequency Cumulative Frequency Percent First choice 182 182 10.78 Second choice 107 289 6.34 Third choice 79 368 4.68 Not marked 1,010 1,378 59.83 Missing 310 1,688 18.36 146 Column name: identity_age Question in AT survey: Question in HU surveys: Identity: Your age group (that is, Young, Middle Age, Old) Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 310 Categories Frequency Cumulative Frequency Percent First choice 162 162 9.60 Second choice 178 340 10.55 Third choice 165 505 9.77
Not marked 873 1,378 51.72 Missing 310 1,688 18.36 147 Column name: identity_religion Question in AT survey: Question in HU surveys: Identity: Your religion (or being agnostic or atheist) Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 310 Categories Frequency Cumulative Frequency Percent First choice 34 34 2.01 Second choice 48 82 2.84 Third choice 57 139 3.38 Not marked 1,239 1,378 73.40 Missing 310 1,688 18.36 148 Column name: identity_political Question in AT survey: Question in HU surveys: Identity: Your preferred political party, group, or movement Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 310 Categories Frequency Cumulative Frequency Percent First choice 24 24 1.42 Second choice 38 62 2.25 Third choice 47 109 2.78 Not marked 1,269 1,378 75.18 Missing 310 1,688 18.36
149 Column name: identity_ethnic Question in AT survey: Question in HU surveys: Identity: Your race/ethnic background Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 310 Categories Frequency Cumulative Frequency Percent First choice 40 40 2.37 Second choice 97 137 5.75 Third choice 70 207 4.15 Not marked 1,171 1,378 69.37 Missing 310 1,688 18.36 150 Column name: identity_class Question in AT survey: Question in HU surveys: Identity: Your social class (that is upper, middle, lower, working, or similar categories) Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 310 Categories Frequency Cumulative Frequency Percent First choice 74 74 4.38 Second choice 148 222 8.77 Third choice 172 394 10.19 Not marked 984 1,378 58.29 Missing 310 1,688 18.36 151 Column name: identity_settlement
Question in AT survey: Question in HU surveys: Identity: The part of [COUNTRY] or settlement that you live in Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 310 Categories Frequency Cumulative Frequency Percent First choice 57 57 3.38 Second choice 146 203 8.65 Third choice 178 381 10.55 Not marked 997 1,378 59.06 Missing 310 1,688 18.36 152 Column name: identity_european Question in AT survey: Question in HU surveys: Identity: That you are European Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 310 Categories Frequency Cumulative Frequency Percent First choice 14 14 0.83 Second choice 58 72 3.44 Third choice 65 137 3.85 Not marked 1,241 1,378 73.52 Missing 310 1,688 18.36 153 Column name: identity_sexual Question in AT survey: Question in HU surveys: Identity: Your sexual orientation
Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 310 Categories Frequency Cumulative Frequency Percent First choice 1 1 0.06 Second choice 6 7 0.36 Third choice 5 12 0.30 Not marked 1,366 1,378 80.92 Missing 310 1,688 18.36 154 Column name: identity_position_in_family Question in AT survey: Question in HU surveys: Identity: Your family or marital status Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 310 Categories Frequency Cumulative Frequency Percent First choice 281 281 16.65 Second choice 135 416 8.00 Third choice 108 524 6.40 Not marked 854 1,378 50.59 Missing 310 1,688 18.36 155 Column name: identity_friends Question in AT survey: Question in HU surveys: Identity: your circle of friends, your place and role in it Further information: Data type: Factor
Unique non-missing value count: 4 Missing value count: 310 Categories Frequency Cumulative Frequency Percent First choice 29 29 1.72 Second choice 139 168 8.23 Third choice 96 264 5.69 Not marked 1,114 1,378 66.00 Missing 310 1,688 18.36 156 Column name: identity_culture_sport Question in AT survey: Question in HU surveys: Identity: your cultural and leisure interests Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 310 Categories Frequency Cumulative Frequency Percent First choice 15 15 0.89 Second choice 42 57 2.49 Third choice 57 114 3.38 Not marked 1,264 1,378 74.88 Missing 310 1,688 18.36 157 Column name: perso_plan Question in AT survey: Question in HU surveys: To what extent do you consider yourself to be a person who consciously plans his or her life? Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 315
Categories Frequency Cumulative Frequency Percent not at all 8 8 0.47 rather not 93 101 5.51 undecided 395 496 23.40 rather yes 576 1,072 34.12 very much 301 1,373 17.83 Missing 315 1,688 18.66 158 Column name: perso_worry Question in AT survey: Question in HU surveys: Some people often worry and some people don't. How much do you consider yourself as someone who worries often? Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 313 Categories Frequency Cumulative Frequency Percent not at all 124 124 7.35 rather not 313 437 18.54 undecided 480 917 28.44 rather yes 342 1,259 20.26 very much 116 1,375 6.87 Missing 313 1,688 18.54 159 Column name: ladder_premigration Question in AT survey: Social ladder: Before moving to Austria, which rung of the ladder were you on in Hungary? Question in HU surveys: Further information: 0: Lowest; 10: Highest Data type: Numeric Unique non-missing value count: 10
Missing value count: 1,391 Min Mean Median Max SD 1.00 5.89 6.00 10.00 1.70 160 Column name: ladder Question in AT survey: Social ladder: Where would you currently place yourself on the ladder in Austria? Question in HU surveys: Social ladder: Where would you currently place yourself on the ladder? Further information: 0: Lowest; 10: Highest Data type: Numeric Unique non-missing value count: 11 Missing value count: 13 Min Mean Median Max SD 0.00 5.52 6.00 10.00 1.87 161 Column name: ladder_future Question in AT survey: Social ladder: Where do you expect to be on this ladder in 5 years? Question in HU surveys: Social ladder: Where do you expect to be on this ladder in 5 years? Further information: 0: Lowest; 10: Highest Data type: Numeric Unique non-missing value count: 11 Missing value count: 79 Min Mean Median Max SD 0.00 5.80 6.00 10.00 2.07 162 Column name: situ_rev Question in AT survey: Question in HU surveys: In your opinion, is your current financial situation: very good; good; neither good, nor bad; bad or very bad Further information:
Unique non-missing value count: 11 Missing value count: 1,412 Min Mean Median Max SD 0.00 5.41 5.50 10.00 2.06 179 Column name: stf_timeuse_pre Question in AT survey: (Before moving) Overall, how satisfied were you: with the amount of time you could spend doing the things you like? Question in HU surveys: Further information: 0: Not at all satisfied; 10: Completely satisfied Data type: Numeric Unique non-missing value count: 11 Missing value count: 1,384 Min Mean Median Max SD 0.00 6.11 6.00 10.00 2.16 180 Column name: stf_relation_pre Question in AT survey: (Before moving) Overall, how satisfied were you: with your personal relationships? Question in HU surveys: Further information: 0: Not at all satisfied; 10: Completely satisfied Data type: Numeric Unique non-missing value count: 10 Missing value count: 1,383 Min Mean Median Max SD 1.00 7.28 8.00 10.00 2.08 181 Column name: stf_livingenv_pre Question in AT survey: (Before moving) Overall, how satisfied were you: with the quality of your living environment? Question in HU surveys:
Further information: 0: Not at all satisfied; 10: Completely satisfied Data type: Numeric Unique non-missing value count: 11 Missing value count: 1,384 Min Mean Median Max SD 0.00 6.55 7.00 10.00 2.01 182 Column name: stf_health_pre Question in AT survey: (Before moving) Overall, how satisfied were you: with your health? Question in HU surveys: Further information: 0: Not at all satisfied; 10: Completely satisfied Data type: Numeric Unique non-missing value count: 11 Missing value count: 1,382 Min Mean Median Max SD 0.00 7.78 8.00 10.00 2.05 183 Column name: stf_income_pre Question in AT survey: (Before moving) Overall, how satisfied were you: with your own income? Question in HU surveys: Further information: 0: Not at all satisfied; 10: Completely satisfied Data type: Numeric Unique non-missing value count: 11 Missing value count: 1,405 Min Mean Median Max SD 0.00 4.66 5.00 10.00 2.24 184 Column name: stf_greenarea_pre Question in AT survey: (Before moving) Overall, how satisfied were you: with recreational or green areas in your living area?
Question in HU surveys: Further information: 0: Not at all satisfied; 10: Completely satisfied Data type: Numeric Unique non-missing value count: 11 Missing value count: 1,387 Min Mean Median Max SD 0.00 6.28 6.00 10.00 2.15 185 Column name: stf_public_pre Question in AT survey: (Before moving) Overall, how satisfied were you: with your quality, reliability, accessibility of public services? Question in HU surveys: Further information: 0: Not at all satisfied; 10: Completely satisfied Data type: Numeric Unique non-missing value count: 11 Missing value count: 1,389 Min Mean Median Max SD 0.00 4.91 5.00 10.00 2.29 186 Column name: being_nervous Question in AT survey: During the last 4 weeks how often: were you very nervous? Question in HU surveys: During the last 4 weeks how often: were you very nervous? Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 4 Categories Frequency Cumulative Frequency Percent none of the time 325 325 19.25 a little of the time 832 1,157 49.29 some of the time 416 1,573 24.64
most of the time 98 1,671 5.81 all of the time 13 1,684 0.77 Missing 4 1,688 0.24 187 Column name: feel_calm Question in AT survey: During the last 4 weeks how often: Feeling calm and peaceful? Question in HU surveys: During the last 4 weeks how often: Feeling calm and peaceful? Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 4 Categories Frequency Cumulative Frequency Percent none of the time 34 34 2.01 a little of the time 237 271 14.04 some of the time 456 727 27.01 most of the time 848 1,575 50.24 all of the time 109 1,684 6.46 Missing 4 1,688 0.24 188 Column name: feel_downhearted Question in AT survey: During the last 4 weeks how often: Feeling downhearted or depressed? Question in HU surveys: During the last 4 weeks how often: Feeling downhearted or depressed? Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 4 Categories Frequency Cumulative Frequency Percent none of the time 473 473 28.02
a little of the time 772 1,245 45.73 some of the time 342 1,587 20.26 most of the time 84 1,671 4.98 all of the time 13 1,684 0.77 Missing 4 1,688 0.24 189 Column name: being_happy Question in AT survey: During the last 4 weeks how often: were you happy? Question in HU surveys: During the last 4 weeks how often: were you happy? Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 3 Categories Frequency Cumulative Frequency Percent none of the time 24 24 1.42 a little of the time 210 234 12.44 some of the time 410 644 24.29 most of the time 856 1,500 50.71 all of the time 185 1,685 10.96 Missing 3 1,688 0.18 190 Column name: feel_lonely Question in AT survey: During the last 4 weeks how often: Feeling lonely? Question in HU surveys: During the last 4 weeks how often: Feeling lonely? Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 3 Categories Frequency Cumulative Frequency Percent none of the time 784 784 46.45
a little of the time 519 1,303 30.75 some of the time 268 1,571 15.88 most of the time 100 1,671 5.92 all of the time 14 1,685 0.83 Missing 3 1,688 0.18 191 Column name: feel_stressed Question in AT survey: During the last 4 weeks how often: Feeling stressed? Question in HU surveys: During the last 4 weeks how often: Feeling stressed? Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 4 Categories Frequency Cumulative Frequency Percent none of the time 218 218 12.91 a little of the time 747 965 44.25 some of the time 533 1,498 31.58 most of the time 169 1,667 10.01 all of the time 17 1,684 1.01 Missing 4 1,688 0.24 192 Column name: feel_down Question in AT survey: During the last 4 weeks how often: Feeling down in the dumps? Question in HU surveys: During the last 4 weeks how often: Feeling down in the dumps? Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 5 Categories Frequency Cumulative Frequency Percent
none of the time 742 742 43.96 a little of the time 613 1,355 36.32 some of the time 248 1,603 14.69 most of the time 69 1,672 4.09 all of the time 11 1,683 0.65 Missing 5 1,688 0.30 193 Column name: being_nervous_pre Question in AT survey: (Before moving) That time how often were you: were you very nervous? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 1,392 Categories Frequency Cumulative Frequency Percent none of the time 5 5 0.30 a little of the time 52 57 3.08 some of the time 117 174 6.93 most of the time 112 286 6.64 all of the time 10 296 0.59 Missing 1,392 1,688 82.46 194 Column name: feel_calm_pre Question in AT survey: (Before moving) That time how often were you: Feeling calm and peaceful? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 1,392
Categories Frequency Cumulative Frequency Percent none of the time 4 4 0.24 a little of the time 90 94 5.33 some of the time 117 211 6.93 most of the time 80 291 4.74 all of the time 5 296 0.30 Missing 1,392 1,688 82.46 195 Column name: feel_downhearted_pre Question in AT survey: (Before moving) That time how often were you: Feeling downhearted or depressed? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 1,392 Categories Frequency Cumulative Frequency Percent none of the time 18 18 1.07 a little of the time 89 107 5.27 some of the time 112 219 6.64 most of the time 70 289 4.15 all of the time 7 296 0.41 Missing 1,392 1,688 82.46 196 Column name: being_happy_pre Question in AT survey: (Before moving) That time how often were you: were you happy? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 5
Missing value count: 1,387 Categories Frequency Cumulative Frequency Percent none of the time 3 3 0.18 a little of the time 57 60 3.38 some of the time 122 182 7.23 most of the time 103 285 6.10 all of the time 16 301 0.95 Missing 1,387 1,688 82.17 197 Column name: feel_lonely_pre Question in AT survey: (Before moving) That time how often were you: Feeling lonely? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 1,390 Categories Frequency Cumulative Frequency Percent none of the time 66 66 3.91 a little of the time 87 153 5.15 some of the time 91 244 5.39 most of the time 47 291 2.78 all of the time 7 298 0.41 Missing 1,390 1,688 82.35 198 Column name: feel_stressed_pre Question in AT survey: (Before moving) That time how often were you: Feeling stressed? Question in HU surveys: Further information: Data type: Factor
Unique non-missing value count: 5 Missing value count: 1,390 Categories Frequency Cumulative Frequency Percent none of the time 4 4 0.24 a little of the time 69 73 4.09 some of the time 113 186 6.69 most of the time 98 284 5.81 all of the time 14 298 0.83 Missing 1,390 1,688 82.35 199 Column name: feel_down_pre Question in AT survey: (Before moving) That time how often were you: Feeling down in the dumps? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 1,391 Categories Frequency Cumulative Frequency Percent none of the time 34 34 2.01 a little of the time 79 113 4.68 some of the time 112 225 6.64 most of the time 65 290 3.85 all of the time 7 297 0.41 Missing 1,391 1,688 82.41 200 Column name: meaningoflife Question in AT survey: Overall, how meaningful do you feel about the things you do? Question in HU surveys: Overall, how meaningful do you feel about the things you do? Further information: 0: Not worthwhile at all; 10: Completely worthwhile
Question in AT survey: Trust in the police in Hungary Question in HU surveys: Further information: 0: I do not trust at all; 10: I comletely trust Data type: Numeric Unique non-missing value count: 11 Missing value count: 1,384 Min Mean Median Max SD 0.00 3.56 4.00 10.00 2.65 219 Column name: trust_media_hu Question in AT survey: Trust in the media in Hungary Question in HU surveys: Further information: 0: I do not trust at all; 10: I comletely trust Data type: Numeric Unique non-missing value count: 11 Missing value count: 1,386 Min Mean Median Max SD 0.00 4.62 5.00 10.00 2.84 220 Column name: feelsafe Question in AT survey: Question in HU surveys: How safe do you feel walking alone around your home after dark? Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 4 Categories Frequency Cumulative Frequency Percent Very unsafe 38 38 2.25 A bit unsafe 182 220 10.78 Fairly safe 823 1,043 48.76
Very safe 641 1,684 37.97 Missing 4 1,688 0.24 221 Column name: feelsafe_at Question in AT survey: How safe do you feel walking alone around your home in Austria after dark? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 4 Missing value count: 1,380 Categories Frequency Cumulative Frequency Percent Not safe at all 8 8 0.47 A little bit safe 32 40 1.90 Quite safe 137 177 8.12 Very safe 131 308 7.76 Missing 1,380 1,688 81.75 222 Column name: inc_p_1_cat Question in AT survey: Question in HU surveys: CURRENTLY, what is YOUR TOTAL NET INCOME per month? Further information: Data type: Factor Unique non-missing value count: 10 Missing value count: 609 Categories with Smallest Values Frequency Categories with Largest Values Frequency 2 million – 4 million Ft 1 100 thousand Ft under 84 1 million – 2 million Ft 5 101 – 200 thousand Ft 226 751 – 1 million Ft 8 301 – 400 thousand Ft 235
501 – 750 thousand Ft 35 201 – 300 thousand Ft 352 Does not have income now 50 Missing 609 223 Column name: inc_p_1_cat_at Question in AT survey: CURRENTLY, what is YOUR TOTAL NET INCOME per month? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 14 Missing value count: 1,405 Categories with Smallest Values Frequency Categories with Largest Values Frequency 250€ and below 4 1,601 - 1,900€ 31 501 - 750€ 7 2,501 - 3,000€ 35 4,001 - 5,000€ 7 1,901 - 2,200€ 36 251 - 500€ 8 2,201 - 2,500€ 47 3,501 - 4,000€ 12 Missing 1405 224 Column name: inc_p_1_pre_cat Question in AT survey: BEFORE THE MOVE TO AUSTRIA, what was YOUR TOTAL NET INCOME per month? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 9 Missing value count: 1,417 Categories Frequency Cumulative Frequency Percent No income (previously) 52 52 3.08 Below 100,000 HUF 26 78 1.54 100,000 - 200,000 HUF 63 141 3.73
201,000 - 300,000 HUF 72 213 4.27 301,000 - 400,000 HUF 35 248 2.07 401,000 - 500,000 HUF 12 260 0.71 501,000 - 750,000 HUF 5 265 0.30 751,000 - 1,000,000 HUF 5 270 0.30 1,000,000 - 2,000,000 HUF 1 271 0.06 Missing 1,417 1,688 83.95 225 Column name: inc_h_1_cat Question in AT survey: Question in HU surveys: CURRENTLY, what is YOUR HOUSEHOLD’S TOTAL NET INCOME per month? Further information: Data type: Factor Unique non-missing value count: 9 Missing value count: 822 Categories Frequency Cumulative Frequency Percent 100 thousand Ft under 3 3 0.18 101 – 200 thousand Ft 35 38 2.07 201 – 300 thousand Ft 83 121 4.92 301 – 400 thousand Ft 112 233 6.64 401 – 500 thousand Ft 190 423 11.26 501 – 750 thousand Ft 283 706 16.77 751 – 1 million Ft 123 829 7.29 1 million – 2 million Ft 34 863 2.01 2 million – 4 million Ft 3 866 0.18 Missing 822 1,688 48.70 226 Column name: inc_h_1_cat_at
Question in AT survey: CURRENTLY, what is YOUR TOTAL NET INCOME per month? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 14 Missing value count: 1,393 Categories with Smallest Values Frequency Categories with Largest Values Frequency 4,501 - 5,000€ 1 2,201 - 2,600€ 9 5,001 - 6,000€ 1 2,601 - 3,000€ 12 1,801 - 2,200€ 3 601 - 900€ 72 4,001 - 4,500€ 4 No income (currently) 156 6,001 - 8,000€ 4 Missing 1393 227 Column name: inc_h_1_pre_cat Question in AT survey: BEFORE THE MOVE TO AUSTRIA, what was YOUR HOUSEHOLDS’ TOTAL NET INCOME per month? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 11 Missing value count: 1,434 Categories with Smallest Values Frequency Categories with Largest Values Frequency 2,000,000 - 4,000,000 HUF 1 No income (previously) 30 Above 4,000,000 HUF 1 Below 100,000 HUF 33 1,000,000 - 2,000,000 HUF 3 201,000 - 300,000 HUF 44 751,000 - 1,000,000 HUF 6 100,000 - 200,000 HUF 80 501,000 - 750,000 HUF 14 Missing 1434
228 Column name: assets Question in AT survey: Question in HU surveys: If you add up the value of your assets (savings, house, apartment, holiday home, car, etc.), how much are they worth in total at real market price? Further information: Data type: Factor Unique non-missing value count: 12 Missing value count: 790 Categories with Smallest Values Frequency Categories with Largest Values Frequency 300,1 M Ft over 2 40,1-70 M Ft 129 200,1-300 M Ft 6 10,0-20 M Ft 133 150,1 – 200 M Ft 14 no assets 170 3,1-5 M Ft 28 20,1-40 M Ft 212 100,1-150 M Ft 28 Missing 790 229 Column name: expenses Question in AT survey: How do you think your household can cover its usual expenses (including loans)? Question in HU surveys: How do you think your household can cover its usual expenses (including loans)? Further information: Data type: Factor Unique non-missing value count: 6 Missing value count: 44 Categories Frequency Cumulative Frequency Percent With major difficulties 58 58 3.44 With difficulties 184 242 10.90 With some difficulties 645 887 38.21 Rather easily 513 1,400 30.39 Easily 180 1,580 10.66
Very easily 64 1,644 3.79 Missing 44 1,688 2.61 230 Column name: remittance Question in AT survey: Do you financially support a family member living in Hungary from Austria? Question in HU surveys: Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,443 Categories Frequency Cumulative Frequency Percent No 100 100 5.92 Yes 145 245 8.59 Missing 1,443 1,688 85.49 231 Column name: remittance_percent Question in AT survey: What percentage of your monthly income do you usually transfer to Hungary or spend in Hungary? Question in HU surveys: Further information: Data type: Numeric Unique non-missing value count: 15 Missing value count: 1,443 Min Mean Median Max SD 0.00 9.47 5.00 70.00 13.51 232 Column name: deprived Question in AT survey: Question in HU surveys: Further information: Calculated from (unexp:washingmachine). If the respondent can not afford at least 3 things
Data type: Factor Unique non-missing value count: 2 Missing value count: 0 Categories Frequency Cumulative Frequency Percent No 1,181 1,181 69.96 Yes 507 1,688 30.04 233 Column name: unexp Question in AT survey: Household capacity to face unexpected expenses (1,290 EUR). Question in HU surveys: Household capacity to face unexpected expenses (120,000 Ft) Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 96 Categories Frequency Cumulative Frequency Percent Yes 1,010 1,010 59.83 No 582 1,592 34.48 Missing 96 1,688 5.69 234 Column name: holiday Question in AT survey: Household capacity to afford paying for one week annual holiday away from home Question in HU surveys: Household capacity to afford paying for one week annual holiday away from home Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 47 Categories Frequency Cumulative Frequency Percent Yes 1,007 1,007 59.66
No 634 1,641 37.56 Missing 47 1,688 2.78 235 Column name: paybills Question in AT survey: Household capacity to being confronted with payment arrears Question in HU surveys: Household capacity to being confronted with payment arrears Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 26 Categories Frequency Cumulative Frequency Percent Yes 267 267 15.82 No 1,395 1,662 82.64 Missing 26 1,688 1.54 236 Column name: eatmeat Question in AT survey: Household capacity to afford a meat, chicken, fish or vegetarian equivalent every second day Question in HU surveys: Household capacity to afford a meat, chicken, fish or vegetarian equivalent every second day Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 14 Categories Frequency Cumulative Frequency Percent Yes 1,356 1,356 80.33 No 318 1,674 18.84 Missing 14 1,688 0.83 237 Column name: keepwarm
Question in AT survey: Household capacity to keep home adequately warm Question in HU surveys: Household capacity to keep home adequately warm Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 7 Categories Frequency Cumulative Frequency Percent Yes 1,556 1,556 92.18 No 125 1,681 7.41 Missing 7 1,688 0.41 238 Column name: telephone Question in AT survey: Which of the following assets does your household have for personal use: Landline or mobile phone Question in HU surveys: Which of the following assets does your household have for personal use: Landline or mobile phone Further information: Data type: Factor Unique non-missing value count: 3 Missing value count: 3 Categories Frequency Cumulative Frequency Percent Yes 1,632 1,632 96.68 No, because I can't afford it 13 1,645 0.77 No, other reason 40 1,685 2.37 Missing 3 1,688 0.18 239 Column name: television Question in AT survey: Which of the following assets does your household have for personal use: Color TV Question in HU surveys: Which of the following assets does your household have for personal use: Color TV Further information:
Already taken concrete steps 4 29 0.24 Missing 1,659 1,688 98.28 252 Column name: mint_time Question in AT survey: Question in HU surveys: How long are you planning to stay abroad? Further information: Data type: Factor Unique non-missing value count: 5 Missing value count: 1,415 Categories Frequency Cumulative Frequency Percent less than one year 4 4 0.24 1-2 year 43 47 2.55 more than 2 years, but no more than 5 years 83 130 4.92 more than 5 years, but not permanently 39 169 2.31 even permanently 104 273 6.16 Missing 1,415 1,688 83.83 253 Column name: mint_time_bis Question in AT survey: Question in HU surveys: If you were to move abroad, how long would you stay? Further information: Boost survey Data type: Factor Unique non-missing value count: 5 Missing value count: 1,576 Categories Frequency Cumulative Frequency Percent less than one year 12 12 0.71 1-2 year 33 45 1.95
more than 2 years, but no more than 5 years 16 61 0.95 more than 5 years, but not permanently 26 87 1.54 even permanently 25 112 1.48 Missing 1,576 1,688 93.36 254 Column name: mint_cntry1 Question in AT survey: Question in HU surveys: Which country(ies) are you planning to move to? First choice Further information: Data type: Factor Unique non-missing value count: 17 Missing value count: 1,393 Categories with Smallest Values Frequency Categories with Largest Values Frequency Portugal 1 Switzerland 16 Malta 1 England 42 Canada 1 Germany 79 Australia 1 Austria 99 Sweden 2 Missing 1393 255 Column name: mint_cntry2 Question in AT survey: Question in HU surveys: Which country(ies) are you planning to move to? Second choice Further information: Data type: Factor Unique non-missing value count: 16 Missing value count: 1,516 Categories with Smallest Values Frequency Categories with Largest Values Frequency
Norway 1 Netherlands 17 Malta 1 England 24 Canada 1 Austria 33 France 2 Germany 39 Ireland 3 Missing 1516 256 Column name: mint_cntry3 Question in AT survey: Question in HU surveys: Which country(ies) are you planning to move to? Third choice Further information: Data type: Factor Unique non-missing value count: 15 Missing value count: 1,616 Categories with Smallest Values Frequency Categories with Largest Values Frequency Portugal 1 USA 7 Norway 1 Netherlands 8 Malta 2 England 10 Spain 3 Germany 11 France 3 Missing 1616 257 Column name: mint_cntry1_bis Question in AT survey: Question in HU surveys: If you were to move abroad, which country(ies) would move to? First choice Further information: Boost survey Data type: Factor Unique non-missing value count: 15 Missing value count: 1,556 Categories with Smallest Values Frequency Categories with Largest Values Frequency
Portugal 1 USA 8 Ireland 1 England 17 Spain 2 Austria 26 Canada 3 Germany 40 Italy 4 Missing 1556 258 Column name: mint_cntry2_bis Question in AT survey: Question in HU surveys: If you were to move abroad, which country(ies) would move to? Second choice Further information: Boost survey Data type: Factor Unique non-missing value count: 14 Missing value count: 1,613 Categories with Smallest Values Frequency Categories with Largest Values Frequency Canada 1 Netherlands 7 USA 2 Germany 9 Italy 2 England 11 France 2 Austria 22 Sweden 2 Missing 1613 259 Column name: mint_cntry3_bis Question in AT survey: Question in HU surveys: If you were to move abroad, which country(ies) would move to? Third choice Further information: Boost survey Data type: Factor Unique non-missing value count: 12 Missing value count: 1,661 Categories with Smallest Values Frequency Categories with Largest Values Frequency
Switzerland 1 Austria 3 Italy 1 USA 3 Canada 1 Spain 5 Sweden 1 England 5 Denmark 1 Missing 1661 260 Column name: mint_work Question in AT survey: Question in HU surveys: What kind of activity do you plan to do abroad? Work Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,377 Categories Frequency Cumulative Frequency Percent Marked 304 304 18.01 Not marked 7 311 0.41 Missing 1,377 1,688 81.58 261 Column name: mint_study Question in AT survey: Question in HU surveys: What kind of activity do you plan to do abroad? Study, internship Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,377 Categories Frequency Cumulative Frequency Percent Marked 27 27 1.60 Not marked 284 311 16.82 Missing 1,377 1,688 81.58
262 Column name: mint_lang Question in AT survey: Question in HU surveys: What kind of activity do you plan to do abroad? Learn a language Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,377 Categories Frequency Cumulative Frequency Percent Marked 59 59 3.50 Not marked 252 311 14.93 Missing 1,377 1,688 81.58 263 Column name: mint_vol Question in AT survey: Question in HU surveys: What kind of activity do you plan to do abroad? Volunteering Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,377 Categories Frequency Cumulative Frequency Percent Marked 4 4 0.24 Not marked 307 311 18.19 Missing 1,377 1,688 81.58 264 Column name: mint_oth Question in AT survey: Question in HU surveys: What kind of activity do you plan to do abroad? Other Further information: Data type: Factor
Unique non-missing value count: 2 Missing value count: 1,377 Categories Frequency Cumulative Frequency Percent Marked 7 7 0.41 Not marked 304 311 18.01 Missing 1,377 1,688 81.58 265 Column name: mint_DK Question in AT survey: Question in HU surveys: What kind of activity do you plan to do abroad?: Do not know Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,375 Categories Frequency Cumulative Frequency Percent Marked 2 2 0.12 Not marked 311 313 18.42 Missing 1,375 1,688 81.46 266 Column name: mint_DA Question in AT survey: Question in HU surveys: What kind of activity do you plan to do abroad? Do not want to answer Further information: Data type: Factor Unique non-missing value count: 1 Missing value count: 1,377 Categories Frequency Cumulative Frequency Percent Not marked 311 311 18.42 Missing 1,377 1,688 81.58
267 Column name: mint_Other Question in AT survey: Question in HU surveys: What kind of activity do you plan to do abroad? Other Further information: Given answer Data type: Character Unique non-missing value count: 8 Missing value count: 310 Categories Frequency Cumulative Frequency Percent 1,371 1,371 81.22 A gyereknek jobb legyen 1 1,372 0.06 Családegyesités 1 1,373 0.06 GYEREKEM MÁR OTT ÉL AZ UNOKÁMMAL 1 1,374 0.06 Germek támogatása a karierjében 1 1,375 0.06 Nyugdíjas éveim majd ha odajutok 1 1,376 0.06 Ott él a fia és neki a családja 1 1,377 0.06 Élni 1 1,378 0.06 Missing 310 1,688 18.36 268 Column name: mint_work_bis Question in AT survey: Question in HU surveys: If you were to move abroad, what kind of activity would you like to do? Work Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,316 Categories Frequency Cumulative Frequency Percent
Marked 132 132 7.82 Not marked 240 372 14.22 Missing 1,316 1,688 77.96 269 Column name: mint_study_bis Question in AT survey: Question in HU surveys: If you were to move abroad, what kind of activity would you like to do? Study, internship Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,316 Categories Frequency Cumulative Frequency Percent Marked 22 22 1.30 Not marked 350 372 20.73 Missing 1,316 1,688 77.96 270 Column name: mint_lang_bis Question in AT survey: Question in HU surveys: If you were to move abroad, what kind of activity would you like to do? Learn a language Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,316 Categories Frequency Cumulative Frequency Percent Marked 24 24 1.42 Not marked 348 372 20.62 Missing 1,316 1,688 77.96 271 Column name: mint_vol_bis
Question in AT survey: Question in HU surveys: If you were to move abroad, what kind of activity would you like to do? Volunteering Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,316 Categories Frequency Cumulative Frequency Percent Marked 1 1 0.06 Not marked 371 372 21.98 Missing 1,316 1,688 77.96 272 Column name: mint_other_bis Question in AT survey: Question in HU surveys: If you were to move abroad, what kind of activity would you like to do? Other Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,316 Categories Frequency Cumulative Frequency Percent Marked 5 5 0.30 Not marked 367 372 21.74 Missing 1,316 1,688 77.96 273 Column name: mint_DK_bis Question in AT survey: Question in HU surveys: If you were to move abroad, what kind of activity would you like to do? Do not know Further information: Boost survey Data type: Factor Unique non-missing value count: 2
287 Column name: mwith_oth Question in AT survey: Question in HU surveys: Who are you planning to move abroad with? Other Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,382 Categories Frequency Cumulative Frequency Percent Marked 26 26 1.54 Not marked 280 306 16.59 Missing 1,382 1,688 81.87 288 Column name: mwith_DK Question in AT survey: Question in HU surveys: Who are you planning to move abroad with? Do not know Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,376 Categories Frequency Cumulative Frequency Percent Marked 6 6 0.36 Not marked 306 312 18.13 Missing 1,376 1,688 81.52 289 Column name: mwith_DA Question in AT survey: Question in HU surveys: Who are you planning to move abroad with? Do not want to answer Further information: Data type: Factor
Unique non-missing value count: 2 Missing value count: 1,381 Categories Frequency Cumulative Frequency Percent Marked 1 1 0.06 Not marked 306 307 18.13 Missing 1,381 1,688 81.81 290 Column name: mwhith_Other Question in AT survey: Question in HU surveys: Who are you planning to move abroad with? Other Further information: Given answer Data type: Character Unique non-missing value count: 15 Missing value count: 310 Categories with Smallest Values Frequency Categories with Largest Values Frequency BARÁTTAL 1 Baráttal 3 Barátaival 1 Barátok 4 Barátjával 1 Barátnő 6 Barátnőjével 1 Missing 310 Barátnővel 1 1352 291 Column name: mwith_aln_bis Question in AT survey: Question in HU surveys: Who are you planning to move abroad with? Alone Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,316 Categories Frequency Cumulative Frequency Percent Marked 30 30 1.78
Not marked 342 372 20.26 Missing 1,316 1,688 77.96 292 Column name: mwith_prtn_bis Question in AT survey: Question in HU surveys: Who are you planning to move abroad with? With your spouse/ partner Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,316 Categories Frequency Cumulative Frequency Percent Marked 110 110 6.52 Not marked 262 372 15.52 Missing 1,316 1,688 77.96 293 Column name: mwith_chid_bis Question in AT survey: Question in HU surveys: Who are you planning to move abroad with? With your child(ren) Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,316 Categories Frequency Cumulative Frequency Percent Marked 61 61 3.61 Not marked 311 372 18.42 Missing 1,316 1,688 77.96 294 Column name: mwith_prnt_bis Question in AT survey:
Question in HU surveys: Who are you planning to move abroad with? With your parent(s) Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,316 Categories Frequency Cumulative Frequency Percent Marked 1 1 0.06 Not marked 371 372 21.98 Missing 1,316 1,688 77.96 295 Column name: mwith_col_bis Question in AT survey: Question in HU surveys: Who are you planning to move abroad with? With flatmate or colleagues Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,316 Categories Frequency Cumulative Frequency Percent Marked 3 3 0.18 Not marked 369 372 21.86 Missing 1,316 1,688 77.96 296 Column name: mwith_other_bis Question in AT survey: Question in HU surveys: Who are you planning to move abroad with? Other Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,316
Categories Frequency Cumulative Frequency Percent Marked 5 5 0.30 Not marked 367 372 21.74 Missing 1,316 1,688 77.96 297 Column name: mwith_DK_bis Question in AT survey: Question in HU surveys: Who are you planning to move abroad with? Do not know Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,314 Categories Frequency Cumulative Frequency Percent Marked 2 2 0.12 Not marked 372 374 22.04 Missing 1,314 1,688 77.84 298 Column name: mwith_DA_bis Question in AT survey: Question in HU surveys: Who are you planning to move abroad with? Do not want to answer Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,315 Categories Frequency Cumulative Frequency Percent Marked 1 1 0.06 Not marked 372 373 22.04 Missing 1,315 1,688 77.90
299 Column name: mwith_oth_bis Question in AT survey: Question in HU surveys: Who are you planning to move abroad with? Other Further information: Given answer. Boost survey Data type: Character Unique non-missing value count: 6 Missing value count: 310 Categories Frequency Cumulative Frequency Percent 1,373 1,373 81.34 Barátnő 1 1,374 0.06 Barátnőmmel 1 1,375 0.06 Imserős barát 1 1,376 0.06 Ismerős, barát 1 1,377 0.06 Lányom férje 1 1,378 0.06 Missing 310 1,688 18.36 300 Column name: mint_why_financial Question in AT survey: Question in HU surveys: What are your reasons or objectives for planning to move abroad? Financial reasons Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,375 Categories Frequency Cumulative Frequency Percent Marked 251 251 14.87 Not marked 62 313 3.67 Missing 1,375 1,688 81.46 301 Column name: mint_why_workstandards Question in AT survey:
Question in HU surveys: What are your reasons or objectives for planning to move abroad? Better standards of work Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,375 Categories Frequency Cumulative Frequency Percent Marked 138 138 8.18 Not marked 175 313 10.37 Missing 1,375 1,688 81.46 302 Column name: mint_why_predictable Question in AT survey: Question in HU surveys: What are your reasons or objectives for planning to move abroad? More predictable future Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,375 Categories Frequency Cumulative Frequency Percent Marked 169 169 10.01 Not marked 144 313 8.53 Missing 1,375 1,688 81.46 303 Column name: mint_why_professional Question in AT survey: Question in HU surveys: What are your reasons or objectives for planning to move abroad? Professional reasons Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,375
Categories Frequency Cumulative Frequency Percent Marked 33 33 1.95 Not marked 280 313 16.59 Missing 1,375 1,688 81.46 304 Column name: mint_why_education Question in AT survey: Question in HU surveys: What are your reasons or objectives for planning to move abroad? Educational reasons Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,375 Categories Frequency Cumulative Frequency Percent Marked 23 23 1.36 Not marked 290 313 17.18 Missing 1,375 1,688 81.46 305 Column name: mint_why_relations Question in AT survey: Question in HU surveys: What are your reasons or objectives for planning to move abroad? Personal relations Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,375 Categories Frequency Cumulative Frequency Percent Marked 41 41 2.43 Not marked 272 313 16.11 Missing 1,375 1,688 81.46
306 Column name: mint_why_political Question in AT survey: Question in HU surveys: What are your reasons or objectives for planning to move abroad? Political, ideological reasons Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,375 Categories Frequency Cumulative Frequency Percent Marked 12 12 0.71 Not marked 301 313 17.83 Missing 1,375 1,688 81.46 307 Column name: mint_why_publ_service Question in AT survey: Question in HU surveys: What are your reasons or objectives for planning to move abroad? The quality and reliability of public service Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,375 Categories Frequency Cumulative Frequency Percent Marked 29 29 1.72 Not marked 284 313 16.82 Missing 1,375 1,688 81.46 308 Column name: mint_why_safety Question in AT survey: Question in HU surveys: What are your reasons or objectives for planning to move abroad? Public safety Further information:
Data type: Factor Unique non-missing value count: 2 Missing value count: 1,375 Categories Frequency Cumulative Frequency Percent Marked 13 13 0.77 Not marked 300 313 17.77 Missing 1,375 1,688 81.46 309 Column name: mint_why_future_hun Question in AT survey: Question in HU surveys: What are your reasons or objectives for planning to move abroad? To financially secure my future in Hungary Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,375 Categories Frequency Cumulative Frequency Percent Marked 78 78 4.62 Not marked 235 313 13.92 Missing 1,375 1,688 81.46 310 Column name: mint_why_other Question in AT survey: Question in HU surveys: What are your reasons or objectives for planning to move abroad? Other Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,375 Categories Frequency Cumulative Frequency Percent Marked 3 3 0.18
Question in AT survey: Question in HU surveys: If you were to move abroad, what would your reasons or objectives be? Do not know Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,314 Categories Frequency Cumulative Frequency Percent Marked 1 1 0.06 Not marked 373 374 22.10 Missing 1,314 1,688 77.84 326 Column name: mint_why_99_bis Question in AT survey: Question in HU surveys: If you were to move abroad, what would your reasons or objectives be? Do not want to answer Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,314 Categories Frequency Cumulative Frequency Percent Marked 1 1 0.06 Not marked 373 374 22.10 Missing 1,314 1,688 77.84 327 Column name: mint_why_other_reason_bis Question in AT survey: Question in HU surveys: If you were to move abroad, what would your reasons or objectives be? Other Further information: Given reason. Boost survey Data type: Character Unique non-missing value count: 5
Missing value count: 310 Categories Frequency Cumulative Frequency Percent 1,374 1,374 81.40 Családommal lehessek 1 1,375 0.06 Környezet, gyerekek nyelvtanulásaéletben való elindulása miatt 1 1,376 0.06 Pihenés 1 1,377 0.06 Szép vidék 1 1,378 0.06 Missing 310 1,688 18.36 328 Column name: mint_step_internet Question in AT survey: Question in HU surveys: And what steps have you taken to prepare for the move? Got informed on the internet/ facebook groups Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,675 Categories Frequency Cumulative Frequency Percent Marked 9 9 0.53 Not marked 4 13 0.24 Missing 1,675 1,688 99.23 329 Column name: mint_step_contact Question in AT survey: Question in HU surveys: And what steps have you taken to prepare for the move? Contacted people living abroad for information Further information: Data type: Factor Unique non-missing value count: 1 Missing value count: 1,671
Categories Frequency Cumulative Frequency Percent Marked 17 17 1.01 Missing 1,671 1,688 98.99 330 Column name: mint_step_job Question in AT survey: Question in HU surveys: And what steps have you taken to prepare for the move? Answered job advertisements/applied to job agencies Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,677 Categories Frequency Cumulative Frequency Percent Marked 8 8 0.47 Not marked 3 11 0.18 Missing 1,677 1,688 99.35 331 Column name: mint_step_accommodation Question in AT survey: Question in HU surveys: And what steps have you taken to prepare for the move? Looked for accomodation Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,680 Categories Frequency Cumulative Frequency Percent Marked 6 6 0.36 Not marked 2 8 0.12 Missing 1,680 1,688 99.53 332 Column name: mint_step_school
Question in AT survey: Question in HU surveys: And what steps have you taken to prepare for the move? Looked for school Further information: Data type: Factor Unique non-missing value count: 1 Missing value count: 1,684 Categories Frequency Cumulative Frequency Percent Not marked 4 4 0.24 Missing 1,684 1,688 99.76 333 Column name: mint_step_lookaround Question in AT survey: Question in HU surveys: And what steps have you taken to prepare for the move? Travelled there to look around Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,679 Categories Frequency Cumulative Frequency Percent Marked 7 7 0.41 Not marked 2 9 0.12 Missing 1,679 1,688 99.47 334 Column name: mint_step_language Question in AT survey: Question in HU surveys: And what steps have you taken to prepare for the move? Started learning the language of the country Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,682
Categories Frequency Cumulative Frequency Percent Marked 3 3 0.18 Not marked 3 6 0.18 Missing 1,682 1,688 99.64 335 Column name: mint_step_other Question in AT survey: Question in HU surveys: And what steps have you taken to prepare for the move? Other Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,681 Categories Frequency Cumulative Frequency Percent Marked 3 3 0.18 Not marked 4 7 0.24 Missing 1,681 1,688 99.59 336 Column name: mint_steps98 Question in AT survey: Question in HU surveys: And what steps have you taken to prepare for the move? Do not know Further information: Data type: Factor Unique non-missing value count: 1 Missing value count: 1,684 Categories Frequency Cumulative Frequency Percent Not marked 4 4 0.24 Missing 1,684 1,688 99.76 337 Column name: mint_steps99
Question in AT survey: Question in HU surveys: And what steps have you taken to prepare for the move? Do not want to answer Further information: Data type: Factor Unique non-missing value count: 2 Missing value count: 1,683 Categories Frequency Cumulative Frequency Percent Marked 1 1 0.06 Not marked 4 5 0.24 Missing 1,683 1,688 99.70 338 Column name: mint_steps_Other Question in AT survey: Question in HU surveys: And what steps have you taken to prepare for the move? Other Further information: Given reason Data type: Character Unique non-missing value count: 4 Missing value count: 663 Categories Frequency Cumulative Frequency Percent 1,022 1,022 60.55 Megkereste a régi munkaadóját 1 1,023 0.06 Munkahely által 1 1,024 0.06 Már oltam kint a Covid előtt.. 1 1,025 0.06 Missing 663 1,688 39.28 339 Column name: mint_step_internet_bis Question in AT survey:
Question in HU surveys: If you were to move: And what steps have you taken to prepare for the move? Got informed on the internet/ facebook groups Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,554 Categories Frequency Cumulative Frequency Percent Marked 125 125 7.41 Not marked 9 134 0.53 Missing 1,554 1,688 92.06 340 Column name: mint_step_contact_bis Question in AT survey: Question in HU surveys: If you were to move: And what steps have you taken to prepare for the move? Contacted people living abroad for information Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,573 Categories Frequency Cumulative Frequency Percent Marked 111 111 6.58 Not marked 4 115 0.24 Missing 1,573 1,688 93.19 341 Column name: mint_step_job_bis Question in AT survey: Question in HU surveys: If you were to move: And what steps have you taken to prepare for the move? Answered job advertisements/applied to job agencies Further information: Boost survey Data type: Factor
Unique non-missing value count: 2 Missing value count: 1,653 Categories Frequency Cumulative Frequency Percent Marked 30 30 1.78 Not marked 5 35 0.30 Missing 1,653 1,688 97.93 342 Column name: mint_step_accommodation_bis Question in AT survey: Question in HU surveys: If you were to move: And what steps have you taken to prepare for the move? Looked for accomodation Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,668 Categories Frequency Cumulative Frequency Percent Marked 10 10 0.59 Not marked 10 20 0.59 Missing 1,668 1,688 98.82 343 Column name: mint_step_school_bis Question in AT survey: Question in HU surveys: If you were to move: And what steps have you taken to prepare for the move? Looked for school Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,673 Categories Frequency Cumulative Frequency Percent Marked 4 4 0.24 Not marked 11 15 0.65
Missing 1,673 1,688 99.11 344 Column name: mint_step_lookaround_bis Question in AT survey: Question in HU surveys: If you were to move: And what steps have you taken to prepare for the move? Travelled there to look around Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,661 Categories Frequency Cumulative Frequency Percent Marked 16 16 0.95 Not marked 11 27 0.65 Missing 1,661 1,688 98.40 345 Column name: mint_step_language_bis Question in AT survey: Question in HU surveys: If you were to move: And what steps have you taken to prepare for the move? Started learning the language of the country Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,655 Categories Frequency Cumulative Frequency Percent Marked 22 22 1.30 Not marked 11 33 0.65 Missing 1,655 1,688 98.05 346 Column name: mint_step_other_bis Question in AT survey:
Question in HU surveys: If you were to move: And what steps have you taken to prepare for the move? Other Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,676 Categories Frequency Cumulative Frequency Percent Marked 1 1 0.06 Not marked 11 12 0.65 Missing 1,676 1,688 99.29 347 Column name: mint_steps98_bis Question in AT survey: Question in HU surveys: If you were to move: And what steps have you taken to prepare for the move? Do not know Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,673 Categories Frequency Cumulative Frequency Percent Marked 3 3 0.18 Not marked 12 15 0.71 Missing 1,673 1,688 99.11 348 Column name: mint_steps99_bis Question in AT survey: Question in HU surveys: If you were to move: And what steps have you taken to prepare for the move? Do not want to answer Further information: Boost survey Data type: Factor Unique non-missing value count: 2 Missing value count: 1,674