A supplementary survey called "Voluntary work" was linked to the Labour Force Survey, Q1 2017 which was carried out on the selected sample of households of the basic survey at the same time.
2.9% of the respondents aged 15–74 who answered for the basic survey did not answer for the supplementary survey Q1 2017.
The performance rate of the supplementary survey "Voluntary work", Q1 2017
| It concerns the respondent | Performance rate | |||
|---|---|---|---|---|
| and was answered | but wasn't answered | total | ||
| persons | % | |||
| Total | 7 263 931 | 220 102 | 7 484 033 | 97.1 |
| Gender | ||||
| male | 3 499 339 | 123 524 | 3 622 863 | 96.6 |
| female | 3 764 592 | 96 579 | 3 861 170 | 97.5 |
| Age group | ||||
| 15–24 | 1 019 163 | 35 126 | 1 054 290 | 96.7 |
| 25–54 | 3 919 436 | 136 788 | 4 056 224 | 96.6 |
| 55–74 | 2 325 331 | 48 188 | 2 373 520 | 98.0 |
| Economic activity | ||||
| employed | 4 226 180 | 141 748 | 4 367 928 | 96.8 |
| unemployed | 201 879 | 4 879 | 206 759 | 97.6 |
| economically inactive | 2 835 872 | 73 474 | 2 909 347 | 97.5 |
36.8 % of the answered interviews were answered by a third person – other member of the family. The proxy-interviews rate among men is very high 45.4% respectively, while for women this rate was 28.8%.
The proxy-interviews rate of the supplementary survey "Voluntary work", Q1 2017
| Personally answered | Proxy-interviews | Total | Proxy-interview rate | |
|---|---|---|---|---|
| persons | % | |||
| Total | 4 590 293 | 2 673 638 | 7 263 931 | 36.8 |
| Gender | ||||
| male | 1 910 829 | 1 588 511 | 3 499 339 | 45.4 |
| female | 2 679 465 | 1 085 127 | 3 764 592 | 28.8 |
| Age group | ||||
| 15–24 | 367 716 | 651 447 | 1 019 163 | 63.9 |
| 25–54 | 2 491 747 | 1 427 689 | 3 919 436 | 36.4 |
| 55–74 | 1 730 831 | 594 501 | 2 325 331 | 25.6 |
| Economic activity | ||||
| employed | 2 615 643 | 1 610 536 | 4 226 180 | 38.1 |
| unemployed | 134 923 | 66 956 | 201 879 | 33.2 |
| economically inactive | 1 839 727 | 996 146 | 2 835 872 | 35.1 |
It can be some difference between the same aggregates of the published absolute numbers which is from the weighting and summary. The evaluation of the distribution ratios was happened electronically – without individual correction, so the amount of partial data is not always equal to the displayed rounded value of the aggregated data.
Used terms in the supplementary survey
Voluntary work:
Activity done
(i) directly or through organization(s),
(ii) unpaid non-compulsary work without compensation,
(iii) for others outside of own household or for the society.
(Work performed for parents, child, relative outside of own household is also included.)
Volunteers
People aged 15–74 who indicated in the first question in the questionnaire that they did at least one kind of activity (regularly, occasionally or at least once in the last 12 months) (i) directly or through organization(s), (ii) unpaid non-compulsory work without compensation, (iii) for others outside of own household or for the society. Work performed for parents, child, relative outside of own household is also included.
Voluntary work carried out directly
People aged 15–74 who have done voluntary work in their own organization without mediation in 12 months prior to the survey.
Voluntary work carried out through organization(s)
People aged 15–74 who have done voluntary work for or through a non-profit or other organization(s) in the last 12 months.
The annual number of hours worked in voluntary work
Total number of hours of voluntary work carried out directly or through organization(s) in the past 12 months. The time spent on voluntary work is estimated on the basis of the number of days and the minutes per day.
Annual average number of hours worked
Total number of hours per volunteer of voluntary work carried out directly and/or through organization(s) in the past 12 months.
Annual median number of hours
Number of hours for which half of the volunteers says that they work more hours, and the other half says that they work less hours in volutary work. (Median is the middle value of a sequenced data set, i.e. the value which separates the sorted data into two equal parts)
The weighted data and sample size of the supplementary survey "Voluntary work", Q1 2017
| Characteristics | Did | Didn't do | Total aged 15–74 | Sample | |
|---|---|---|---|---|---|
| voluntary work | |||||
| % | persons | ||||
| Total | 36.7 | 63.3 | 100.0 | 7 263 931 | 42 522 |
| Sex | |||||
| Male | 35.8 | 64.2 | 100.0 | 3 499 339 | 20 282 |
| Female | 37.6 | 62.4 | 100,0 | 3 764 592 | 22 240 |
| Age groups | |||||
| 15–19 | 39.7 | 60.3 | 100.0 | 468 185 | 2 884 |
| 20–24 | 25.8 | 74.2 | 100.0 | <550 978 | 2 965 |
| 25–29 | 29.9 | 70.1 | 100.0 | 587 317 | 2 837 |
| 30–34 | 33.8 | 66.2 | 100.0 | 578 847 | 2 829 |
| 35–39 | 36.0 | 64.0 | 100.0 | 718 608 | 3 525 |
| 40–44 | 38.3 | 61.7 | 100.0 | 786 529 | 4 172 |
| 45–49 | 36.6 | 63.4 | 100.0 | 682 319 | 3 780 |
| 50–54 | 41.4 | 58.6 | 100.0 | 565 815 | 3 486 |
| 55–59 | 40.7 | 59.3 | 100.0 | 592 923 | 3 786 |
| 60–64 | 42.8 | 57.2 | 100.0 | 710 152 | 4 563 |
| 65–69 | 41.6 | 58.4 | 100.0 | 580 068 | 4 332 |
| 70–74 | 31.3 | 68.7 | 100.0 | 442 189 | 3 363 |
| Highest level of education | |||||
| Less than 8 grades of primary school | 22.9 | 77.1 | 100.0 | 112 225 | 855 |
| Primary school | 34.2 | 65.8 | 100.0 | 1 545 308 | 11 048 |
| Vocational and apprentice school | 37.1 | 62.9 | 100.0 | 1 794 303 | 11 841 |
| General secondary school | 31.7 | 68.3 | 100.0 | 971 606 | 4 894 |
| Other secondary school | 38.1 | 61.9 | 100.0 | 1 380 548 | 7 439 |
| Tertiary education | 42.1 | 57.9 | 100.0 | 1 459 942 | 6 445 |
| Type of settlement | |||||
| Village | 39.5 | 60.5 | 100.0 | 2 490 844 | 20 878 |
| Town | 37.0 | 63.0 | 100.0 | 3 496 259 | 19 129 |
| Budapest | 30.7 | 69.3 | 100.0 | 1 276 828 | 2 515 |
| Economic activity | |||||
| Employed | 37.2 | 62.8 | 100.0 | 4 226 180 | 22 643 |
| Unemployed | 37.9 | 62.1 | 100.0 | 201 879 | 1 193 |
| Economically inactive | 35.9 | 64.1 | 100.0 | 2 835 872 | 18 686 |
| County/region of residence | |||||
| Central Hungary | 30.7 | 69.3 | 100.0 | 2 192 334 | 6 952 |
| Budapest | 30.7 | 69.3 | 100.0 | 1 276 828 | 2 515 |
| Pest | 30.8 | 69.2 | 100.0 | 915 506 | 4 437 |
| Central Transdanubia | 40.1 | 59.9 | 100.0 | 807 337 | 5 452 |
| Fejér | 37.5 | 62.5 | 100.0 | 322 610 | 2 124 |
| Komárom-Esztergom | 35.8 | 64.2 | 100.0 | 222 799 | 1 538 |
| Veszprém | 46.9 | 53.1 | 100.0 | 261 929 | 1 790 |
| Western Transdanubia | 33.9 | 66.1 | 100.0 | 746 459 | 4 735 |
| Gyor-Moson-Sopron | 32.8 | 67.2 | 100.0 | 344 109 | 1 636 |
| Vas | 43.2 | 56.8 | 100.0 | 193 253 | 1 610 |
| Zala | 27.0 | 73.0 | 100.0 | 209 096 | 1 489 |
| Southern Transdanubia | 35.5 | 64.5 | 100.0 | 647 695 | 4 718 |
| Baranya | 33.3 | 66.7 | 100.0 | 258 151 | 1 894 |
| Somogy | 33.4 | 66.6 | 100.0 | 223 069 | 1 592 |
| Tolna | 41.8 | 58.2 | 100.0 | 166 475 | 1 232 |
| Northern Hungary | 44.9 | 55.1 | 100.0 | 839 853 | 6 497 |
| Borsod-Abaúj-Zemplén | 45.5 | 54.5 | 100.0 | 477 854 | 3 691 |
| Heves | 42.1 | 57.9 | 100.0 | 215 869 | 1 589 |
| Nógrád | 47.2 | 52.8 | 100.0 | 146 130 | 1 217 |
| Northern Great Plain | 41.4 | 58.6 | 100.0 | 1 107 339 | 7 650 |
| Hajdú-Bihar | 24,7 | 75.3 | 100.0 | 401 529 | 2 367 |
| Jász-Nagykun-Szolnok | 59.9 | 40.1 | 100.0 | 276 538 | 1 826 |
| Szabolcs-Szatmár-Bereg | 45.1 | 54.9 | 100.0 | 429 272 | 3 457 |
| Southern Great Plain | 38.1 | 61.9 | 100.0 | 922 915 | 6 518 |
| Bács-Kiskun | 40.8 | 59.2 | 100.0 | 379 613 | 3 173 |
| Békés | 38.9 | 61.1 | 100.0 | 247 064 | 1 681 |
| Csongrád | 34.1 | 65.9 | 100.0 | 296 238 | 1 664 |