Last update: 27 July 2017

The source of data is the Labour Force Survey, which collects data about the economic activity of population aged 15–74 years living in private households.

From December 2014, grossing up of LFS data is based on the adjusted population number of the 2011 census. To ensure comparability previous estimates have been modified by the new weighting system dating back to 2006.

Definitions used in the Labour Force Survey

Employed persons are those who worked one hour or more for pay or profit during the reference week, or had a job from which they were temporarily absent (e.g. sick-leave, holiday, maternity leave etc.).

Unemployed persons are those who neither worked, nor had a job from which they were temporarily absent, who were actively seeking work in the four weeks before the reference week, were available for work at the time of the survey, i.e. could start work within two weeks following the reference week if a proper job was found, or who found a job to start later, i.e. within 90 days.

Economically active population is the total number of employed and unemployed persons.

Economically inactive persons are those who cannot be classified either as employed or unemployed. Among others, students, pensioners who do not work, housewives, seasonal workers out of the season, in case they do not seek a job and recipients of child care benefit belong to this group. Within this, passive unemployed are persons who would like to find a job, but as they deem their chances unfavourable, they do not seek one actively.

Unemployment rate is the ratio of unemployed persons to the economically active population.

Employment rate is the ratio of employed persons to the population.

Participation rate is the ratio of economically active persons (employed and unemployed) to the population.

Primary labour market: number of employed persons without those working at local units abroad or in public employment.

Average duration of unemployment: the average duration – number of months - of time spent with active searching for job (without those, who did not look for a job because they have already found one, and will begin to work within 90 days).

Selected age groups in the Labour Force Survey:

Aged 15–74: Recommendation of the International Labour Office (ILO) for observing the labour market. (The coverage of the Hungarian Labour Force Survey.)

Aged 15–64: Recommendation of the European Union for observing the labour market (employment).

Aged 20–64: The coverage regarding the development of employment objectives defined in the Europe 2020 Strategy.

Aged 15–24: Recommendation of the European Union for observing the situation of young people in the labour market.

Aged 25–54: Age group used for observing the situation of those considered as of “the best working age” in the labour market.

Aged 55–64: Recommendation of the European Union for observing the situation of the elderly in the labour market.

Sample of Labour Force Survey

The Labour Force Survey is based on a multi-stage stratified probability sample design. In case of larger, “self-representing” settlements the primary sampling units are dwellings. On the other hand, in case of smaller settlements, the first stage of sampling is the selection of settlements. Since 1998, the number of addresses selected for the sample in a quarter is about 38 thousand. The survey is continuous, the quarterly sample consists of three statistically independent monthly sub-samples. The basis of grossing up is the population number in the survey period estimated with the help of a mathematical model. The number of population (living in private households) in each population group is calculated by multiplying the sample values of the different strata with the proper weight and summing them up.

Rounding of the data was made electronically – without any correction – therefore the sum of the part figures does not always equal to the rounded value of the total.

The survey was done via paper-and-pencil interviewing till the first quarter 2012. Afterwards the continuous transition to the computer aided data collection began. Since November 2012, the survey has been done only by CAPI. Due to the change of the mode of interviewing, increase of non-sampling error is expected.

Major indicators on employment and unemployment with their sampling errors at a confidence

level of 95%, April–June 2017

Denomination Employed Unemployed Employment Unemployment
number, 1000 persons rate, %
Age groups
15–74 (weighted) date4 419,6196,459,24,3
Sampling error (s.e.)±27,7±13,5±0,4±0,3
of wich:Male (r)2 417,6100,166,94,0
(s.e.)±17,5±8,5±0,5±0,3
Female (r)2 002,096,352,04,6
(s.e.)±19,4±9,2±0,5±0,4
15–64 (weighted) data4 370,9196,368,14,3
Sampling error (s.e.)±26,5±13,5±0,4±0,3
of wich:Male (r)2 389,3100,175,14,0
(s.e.)±16,4±8,5±0,5±0,3
Female (r)1 981,696,261,14,6
(s.e.)±18,7±9,2±0,6±0,4
15–24 (weigted) data302,637,328,911,0
Sampling error (s.e.)±10,2±4,4±1,0±1,3
25–54 (weighted) data3 390,8131,983,73,7
Sampling error (s.e.)±18,0±10,3±0,4±0,3
55–64 (weighted) data677,527,251,23,9
Sampling error (s.e.)±15,3±4,9±1,2±0,7
20–64 (weighted) data4 346,2189,473,24,2
Sampling error (s.e.)±26,3±13,3±0,4±0,3
Regions
Central Hungary1 415,943,762,23,0
Sampling error (s.e.)±18,7±8,7±0,8±0,6
Central Transdanubia502,011,361,82,2
Sampling error (s.e.)±7,2±2,4±0,9±0,5
Western Transdanubia469,311,661,72,4
Sampling error (s.e.)±5,9±2,4±0,8±0,5
Southern Transdanubia370,225,254,36,4
Sampling error (s.e.)±9,1±5,6±1,3±1,4
Northern Hungary476,826,855,35,3
Sampling error (s.e.)±8,7±4,3±1,0±0,8
Northern Great Plain631,450,556,57,4
Sampling error (s.e.)±10,7±6,1±1,0±0,9
Southern Great Plain554,027,258,04,7
Sampling error (s.e.)±7,7±3,2±0,8±0,5
Employed people aged 15–74
Working in the domestic primary labour market (weighted data)4 100,5
Sampling error (s.e.)±31,5
Consider themselves public worker (weighted data)206,0
Sampling error (s.e.)±14,0
Working at local unit abroad (weighted data)113,0
Sampling error (s.e.)±8,8
Unemployed aged 15–74
Average duration of unemployment (weighted data)17,0 month
Sampling error (s.e.)±1,3 month