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9.5. Labour market flows

(supplementary questionnaire of the Labour Force Survey, Q1, 2016)

A supplementary survey called 'Labour Market Flows' was linked again to the Labour Force Survey, Q1 2016 which was carried out on the selected sample of households of the basic survey at the same time.

The aim of the survey was the complex examination of the 15–74 years old people in the following three themes:
– Labour market flow characteristic of those exiting or entering their employment status and within those who change their workplace
– mobility and migration intent
– agricultural work, including production for own consumption.

Concepts related to the survey:

Entrants are those who created an employment relationship at an employer, or membership relationship with the obligation to work, or outside worker relationship or entered into self-employment; i.e. those who created a labour relation in the reference year (From 1 January to 31 December).

1Out of the entrants the changers are those, who had left their previous job voluntarily or by force in the reference year but then they started working again People who exits are those, who cancel their employment relationship at an employer, or their membership relationship with the obligation to work, or their outside worker relationship or terminated their self-employment activity, i.e. from employment status they entered to unemployed or inactive status.

10.6% of the respondents aged 15–74 who answered the basic survey did not answer the supplementary survey Q1 2016.

The non-performance rates (rates of those who answered the basic survey but did not answer the supplementary survey) of the supplementary survey "Labour Market Flows", Q1 2016 (weighted data)

Denomination	It concerns the respondent			Non-performance rate
	and was answered	but wasn't answered	total	Non-performance rate
	persons			%
Total	7 469 354	46 203	7 515 558	0.6
Gender
male	3 611 039	22 779	3 633 818	0.6
female	3 858 315	23 425	3 881 740	0.6
Age group
15–24	1 071 929	8 715	1 080 644	0.8
25–54	4 028 669	24 920	4 053 589	0.6
55–74	2 368 757	12 568	2 381 325	0.5
Highest level of education
primary	1 765 527	8 954	1 774 481	0.5
secondary	4 216 704	22 524	4 239 228	0.5
tertiary	1 487 123	14 725	1 501 848	1.0
County of place of residence
Budapest	1 325 134	6 033	1 331 167	0.5
Baranya	274 962	6 341	281 304	2.3
Bács-Kiskun	391 333	1 268	392 601	0.3
Békés	261 712	3 691	265 403	1.4
Borsod-Abaúj-Zemplén	498 255	991	499 246	0.2
Csongrád	308 901	1 025	309 926	0.3
Fejér	323 495	–	323 495	0.0
Gyor-Moson-Sopron	350 295	978	351 274	0.3
Hajdú-Bihar	407 368	–	407 368	0.0
Heves	222 279	4 179	226 458	1.8
Jász-Nagykun-Szolnok	279 478	6 011	285 488	2.1
Komárom-Esztergom	230 752	–	230 752	0.0
Nógrád	149 149	–	149 149	0.0
Pest	937 411	6 956	944 368	0.7
Somogy	232 170	4 811	236 981	2.0
Szabolcs-Szatmár-Bereg	430 898	–	430 898	0.0
Tolna	170 999	1 323	172 322	0.8
Vas	198 257	171	198 429	0.1
Veszprém	264 418	246	264 664	0.1
Zala	212 086	2 179	214 264	1.0
Economic activity
employed	4 234 396	27 770	4 262 166	0.7
unemployed	271 654	1 125	272 778	0.4
inactive	2 963 305	17 308	2 980 613	0.6

There may be some differences between the same aggregates of the published absolute numbers due to weighting and summing up. The evaluation of the distribution ratios was made electronically – without individual correction, so the sum of partial data is not always equal to the displayed rounded value of the aggregated data.

The weighted data and sample size of the questions related to "Labour Market Flows", Q1 2016

(persons)
Denomination	Male		Female		Total
Denomination	weighted data	sample	weighted data	sample	weighted data	sample
Total	3 611 039	21 361	3 858 315	23 445	7 469 354	44 806
Age group
15–24	549 681	3 146	522 248	2 948	1 071 929	6 094
25–54	2 019 784	10 873	2 008 885	11 044	4 028 669	21 917
55–74	1 041 574	7 342	1 327 183	9 453	2 368 757	16 795
Highest level of education
primary	774 249	5 320	991 278	7 422	1 765 527	12 742
secondary	2 197 179	13 228	2 019 525	11 956	4 216 704	25 184
tertiary	639 611	2 813	847 512	4 067	1 487 123	6 880
County of place of residence
Budapest	616 272	1 385	708 862	1 662	1 325 134	3 047
Baranya	132 318	1 060	142 644	1 164	274 962	2 224
Bács-Kiskun	190 975	1 505	200 358	1 688	391 333	3 193
Békés	128 246	901	133 467	936	261 712	1 837
Borsod-Abaúj-Zemplén	241 709	1 926	256 547	2 032	498 255	3 958
Csongrád	148 629	837	160 271	902	308 901	1 739
Fejér	159 312	980	164 184	1 037	323 495	2 017
Gyor-Moson-Sopron	171 937	904	178 358	892	350 295	1 796
Hajdú-Bihar	198 498	1 189	208 870	1 354	407 368	2 543
Heves	107 064	815	115 215	954	222 279	1 769
Jász-Nagykun-Szolnok	136 450	843	143 028	962	279 478	1 805
Komárom-Esztergom	112 145	735	118 607	833	230 752	1 568
Nógrád	72 891	637	76 258	719	149 149	1 356
Pest	456 723	2 242	480 688	2 489	937 411	4 731
Somogy	111 926	797	120 244	837	232 170	1 634
Szabolcs-Szatmár-Bereg	211 211	1 587	219 688	1 735	430 898	3 322
Tolna	83 414	614	87 585	678	170 999	1 292
Vas	97 238	837	101 019	865	198 257	1 702
Veszprém	130 200	850	134 219	909	264 418	1 759
Zala	103 882	717	108 203	797	212 086	1 514
Economic activity
employed	2 298 967	12 565	1 935 429	10 636	4 234 396	23 201
unemployed	146 638	858	125 016	725	271 654	1 583
inactive	1 165 435	7 938	1 797 870	12 084	2 963 305	20 022

The questionnaire contained the following questions.

2.1. Methodology of labour market