Number of Roma voters in the nationality register between 2010 and 2024
The database contains the number of people registered as Roma for the election of local nationality government representatives in 2010, 2014, 2019 and 2024, by settlements.
The data was downloaded from the website of the National Election Commission (NVB). The Databank organized the database in STATA format, while preserving the data content unchanged.
Data host
Nation Election Commission
The objective of the survey
All Hungarian citizens with a Hungarian address who belong to a nationality group in Hungary (Bulgarian, Greek, Croatian, Polish, German, Armenian, Roma, Romanian, Ruthenian, Serbian, Slovak, Slovenian, Ukrainian) may request that their nationality be recorded in the central register
The reference population
The database only contains the number of persons registered as Roma. Other ethnic groups are not included
Data suppliers
The central register of local governments and parliament. For the conditions for inclusion in the register or for listing, find the documentation at the link at the bottom of the page
Sample size
Administratively independent settlements in Hungary
Period
Years of 2010, 2014, 2019 and 2024
Main topics of data
Number of persons registered as Roma
Other characteristics, comments
The original data can be downloaded from the website: https://www.valasztas.hu/home
Availability
The database can be requested for a designated research purpose on a server or by data release, by submitting a data request form.
REAL ESTATE DATA
The database contains housing price data between 2015 and 2023, published by the Central Statistical Office at county, municipality and street level.
The data was downloaded from the HCSO’s website. The Databank organized the database into STATA format, while preserving the content of the data.
Data host
Hungarian Central Statistical Office
The objective of the survey
To monitor changes in housing prices
Target population
Administratively independent municipalities and streets in Hungary
Data providers
The Central Statistical Office has been receiving housing market information from the tax office registers since 1997
Sample size
At county level, all counties
At settlement level, approximately 1200 settlements per year
At street level, approximately 6000 streets in 300 settlements per year
Period
2015-2023, annually
Main data groups
The average price (in thousand HUF/m²) is published for all dwellings and the following groups: family houses, block of flats, multi-family apartment buildings
Other characteristics, comments
In order to prevent individual data from being identifiable, the database does not include settlements or streets where fewer than three properties changed hands in a given year
Availability
The database can be requested for a designated research purpose on a server or by data release, by submitting a data request form.
ROMA SURVEY 2003
The Roma survey of 2003, led by István Kemény, Béla Janky and Gabriella Lengyel, is the third and last in a series of similar surveys by Kemény (1971, 1993). The survey focused on the population perceived as Roma by their environment.
The objective of the survey
To explore the living conditions and situation of the Roma population in Hungary.
The reference population
Roma population living in Hungary.
Data suppliers
Questionnaire survey; 1% of the Roma population living in Hungary
Sample size
The final sample contains data on 5408 persons belonging to 1165 households.
Period
2003
Main topics of data
Main groups of the variables:
- Education, languages
- Occupation, place of work, wages and other benefits
- Social transfers, pension, job search
- Marital status, children
- Health status
- Housing
- Income
- Household composition
The database is published with the consent of the HUN-REN TK Minority Research Institute, the legal successor of the MTA Minority Research Institute, which sponsored the survey.
Availability
The database can be requested for a designated research purpose on a server or by data release, by submitting a data request form.
CENSUS 2022 (Regional data)
The database contains data from the Census in 2022, aggregated to territorial level. The data are derived from the TEIR system.
Data host
Central Statistical Office
Objective of the survey
Research on territorial processes, measurement of territorial disparities, coverage studies for the whole population
The reference population
Administratively independent municipalities in Hungary and the districts of Budapest
Data suppliers
Central Statistical Office data collection, carried out every 10 years for the total population
Sample size
3 155 municipalities (existing in 2022) and the 23 districts of Budapest. Data refer to persons living in the settlements with permanent (or in case of its absence, temporary) residence.
Period
Year of 2022
Main topics of data
Population
Dwellings in residential and suburban areas
Family status
Economic activity
Households, families
Education
Housing stock
Nationality
Religion
Language
Other characteristics, comments
Municipalities identified by the Territorial Numbering System can be aggregated to any territorial level.
The data are derived from the TEIR system, whose data management policy allows free access to any individual, following registration on Ügyfélkapu/”Client Gate” (electronic platform to government services in Hungary).
Availability
The database can be requested for a designated research purpose on a server or by data release, by submitting a data request form.
PERSONAL INCOME TAX RETURN DATABASE OF THE NATIONAL TAX AND CUSTOMS ADMINISTRATION
Data host
National Tax and Customs Administration
Reference population
Income tax return for individuals (including the self-employed and farmers)
Data suppliers
Individuals with taxable income in Hungary
Sample size
The database includes everyone who has filed a personal income tax return to the National Tax and Customs Administration, meaning that it is a 100% sample.
Period
Year of 2015, 2019-2023
Characteristics, notes
Individuals can be identified using an anonymized identifier called „sorszam” (serial number). The databases can be sorted into panel data as a given serial number belongs to the same individual each year. The databases do not include those personal income taxes which are paid by paying agents and are not included in the tax return filed by the individuals. These are reported and paid by the paying agents to the National Tax and Customs Administration.
Availability
The database can be requested for a designated research purpose on a server by submitting a data request form, solely for researchers or research assistants employed by KRTK. Available for external researchers of the KRTK, researchers participating in joint research with researchers employed by the KRTK (co-authors), PhD students or thesis writers of researchers employed by the KRTK.
APPLICATION AND ADMISSION TO SECONDARY EDUCATION
Each year, the secondary admission information system (KIFIR) databases contain all the ’area of study’ published by secondary education institutions in Hungary, as well as the details of applicants, admitted students and their applications to secondary schools.
Data host
Educational Authority
Data suppliers
Institutions participating in the Hungarian secondary admission procedure and students applying for admission.
Sample size
Total number of applications from the 4th, 6th or 8th grade of primary school in a given year to secondary education for the courses and ’areas of study’ offered by the institutions. Any number of schools and ’area of study’ may be indicated in the admission procedure.
Period
2012-2024, annually
Level of data
- application
- area of study
Main datasets
1. Application
The application database consists of application data, rankings, results and student descriptive data. The database with the unique student identifier contains all applications for the published field of study/area of study of the given secondary school, in the order in which the application is submitted by the student. The database shows student applications were successful (jel_stat1) and where the student actually went to (jel_stat2). The file contains the students’ gender, date of birth, and details of their primary school, as well as if the student has submitted an individual application or it was initiated by the primary school.
The database is unique by jel_id.
2. Field of study / Area of study
The ’area of study’ database contains all the areas of study and their characteristics as published by secondary education institutions and their settlements. Information available on these courses: type of course, type of secondary school (traditional upper secondary school of 4-5 grades or lower secondary school with 6-8 grades), curriculum of the area of study, foreign languages, for upper secondary schools and vocational schools the occupational groups belonging to the field of study, number of students admitted to a given field, admission conditions (written/oral exams), descriptive variables of the institutions and settlements, type and name of the school maintainer. The variable sni indicates if a pupil with special educational needs can be enrolled in a given field of study and the variables sni1 to sni7 indicate the type of special education need.
The database is unique by the variable tag_id.
The application and area of study files can be linked by the variables ev kozep_om tag_id tag_kod.
Main characteristics, comments
more information about the databases and variables can be seen by using the “note” command
Application file:
The variable jel_rangsor is null in case the school rejected the student’s application.
Concerning the school identifier of the primary school (alt_om) and its descriptive variables: In the case of individual applications, the data were not required to be provided and were not compared with the official records, so in order to check the validity of the school identifier of the primary school, a variable called valid was created, and value 1 indicates if the om code is in the educational records.
*** During the admission procedure for the 2014/2015 school year (enrolment for the 2015/2016 school year), the decision on the structure of the vocational education and training institutions forced some of them to cancel their fields of study that were announced before the decision on the structure of the vocational education and training institutions. The applications for these fields of study are included in the database jelentkezes_2015.dta, but the results of the admission are not known. This is the reason why the missing value of jel_stat2 rises in 2015.
Area of study file:
In addition to the general framework curricula, specialisations, Arany János College-Secondary School Programme, intensive hours, advanced level, language preparatory grade have been added to the category of „general curriculum”. For the variable type of education (tag_kepztip), the names of secondary schools have been harmonised with the status before 2017. The occupation identified as a shortage occupation (hianyszakma) in a given year has been created from another variable and is therefore not considered complete.
Availability
The database can be requested for a designated research purpose on a server by submitting a data request form, solely for researchers or research assistants employed by KRTK. Available for external researchers of the KRTK, researchers participating in joint research with researchers employed by the KRTK (co-authors), PhD students or thesis writers of researchers employed by the KRTK.
CENSUS 2011 (Regional data)
The database contains data from the Census in 2011, aggregated to territorial level. The data are derived from the TEIR system.
Data host
Central Statistical Office
Objective of the survey
Research on territorial processes, measurement of territorial disparities, coverage studies for the whole population
The reference population
Administratively independent settlements in Hungary
Data suppliers
Central Statistical Office data collection, carried out every 10 years for the total population
Sample size
3 154 settlements (which existed in 2011). Data refer to persons living in the settlements with permanent (or in case of its absence, temporary) residence.
Period
Year of 2011
Main topics of data
Dwellings in residential and suburban areas
Family status
Economic activity
Households, families
Commuting
Education
Housing stock
Nationality
Population
Religion
Other characteristics, comments
Municipalities identified by the Territorial Numbering System can be aggregated to any territorial level.
The data are derived from the TEIR system, whose data management guidelines make it freely available to public bodies, non-profit companies, higher education institutions and 100% state-owned companies. Access for individuals and other business entities is provided by TEIR for a fee.
Availability
The database can be requested for a designated research purpose on a server or by data release, by submitting a data request form.
ADMIN3 (2003-2017)
Data host
National Health Insurance Fund Administration, Central Administration of National Pension Insurance, National Tax and Customs Administration, National Labour Office, Educational Authority
The objective of the survey
Tracking workers and employers in a period of 15 years
The reference population
Half of the population aged 0+ in 2003
Data suppliers
Registers of OEP, ONYF, NAV, NMH, and OH
Sample size
ca. 5.174.486 people
Period
2003-2017, monthly
Main topics of data
Demographics (age, gender)
Educational attainment (for those with at least one unemployment spell)
Employment status
Occupation
Wages
Transfer receipt
Firm-level data (sector, size and ownership)
Education
Job seeker information
Main characteristics of the survey
The units of observation are payment records (contribution payments and/or transfer receipts) on the 15th day of a given month by a given person. The observed individuals may have several payment records at a given point in time.
Availability
The database can be requested for a designated research purpose on a server by submitting a data request form.
ADMIN 1 (2002-2009)
Data host
National Health Insurance Fund Administration, Central Administration of National Pension Insurance, National Tax and Customs Administration, National Labour Office, Educational Authority
The objective of the survey
The objective of the data is career tracking (even for specific groups).
The reference population
Half of the population aged 5-74 in 2002
Data suppliers
OEP, ONYF, NAV, NMH, OH by administrative data collection
Sample size
ca. 4 602 000 people
Period
2002-2009, monthly
Main topics of data
Demographics (age, gender)
Educational attainment (for those with at least one unemployment spell)
Employment status
Occupation
Wages
Transfer receipt
Main characteristics of the survey
The units of observation are payment records (contribution payments and/or transfer receipts) on the 15th day of a given month by a given person. The observed individuals may have several payment records at a given point in time.
Availability
The database can be requested for a designated research purpose on a server by submitting a data request form.
TIME USE SURVEY
Data host
Hungarian Central Statistical Office
Objective of the survey
To measure and present the time use (living conditions, lifestyle) of the population living in households
Target population
Population aged between 10-84 living in selected households
Data suppliers
Questionnaire survey; population living in private households in Hungary
Sample size
11 200 addresses, 13 000 time use diary
In case of people aged 10-14 an additional survey was conducted with the caregiver
Period
01.10.2009 – 30.09.2010.
Main fields of data
Detailed data on time use of people in the sample
Demographic characteristics
Age, sex, educational attainment, county, type of settlement, economic activity
Other characteristics, comments
The sample is the discarded or failed address population from the Labour Force Survey (LFS), supplemented by addresses selected from new dwellings to improve coverage.
Weighting was based on sex, age group, type of settlement of the population carried forward
The dataset represents all people only by the first diary recorded. Although, two time time use diaries were recoded, one weekday and one weekend day for those in age groups 15-24 and 25-69 who were in paid employment.
Note: Time use data of 1986/87 and 1999/2000 are available in the Databank of TÁRKI
Availability
The database can be requested for a designated research purpose on a server by submitting a data request form, solely for researchers or research assistants employed by KRTK. Available for external researchers of the KRTK, researchers participating in joint research with researchers employed by the KRTK (co-authors), PhD students or thesis writers of researchers employed by the KRTK.
OPTEN
Data host
The objective of the survey
The reference population
Data suppliers
Sample size
Period
Main topics of data
Main characteristics of the survey
MASS LAYOFFS 1990-1995
The file consists of data derived from press information. The events were created from a database in which layoff news was recorded between 1990-1995.
Data host
HUN-REN Centre of Economic and Regional Studies
Data providers
The file was created from layoff news from the press
Sample size
The file contains a total of 3126 layoff events of 1511 companies.
Period
From 1990 to 1995
Other characteristics, comments
The observation unit in the database is a layoff event. The events were created from a database in which layoff news was recorded between 1990-1995. In cases where the same event appeared in multiple news, it appears as only one event in the file.
Data availability
The database can be requested for a designated research purpose on a server or by data release, by submitting a data request form.
DISTRICT LEVEL DATA IN BUDAPEST (B-STAR)
Data host
Hungarian Central Statistical Office
The objective of the survey
The reference population
Data suppliers
Sample size
Period
Main topics of data
Main characteristics of the survey
CONTRIBUTION RETURN DATABASE OF THE NATIONAL TAX AND CUSTOMS ADMINISTRATION
Data host
National Tax and Customs Administration
Objective
The individual-level contribution return database of the National Tax and Customs Administration contains the monthly tax returns of employers obliged to submit tax returns for all taxes and contributions related to payments and benefits paid to individuals.
Reference population
A 10% anonymized random sample of individuals with earned income.
Sample size
Data of five years: a total of 30 million observations on 2 million people.
Period
Monthly data between 01/01/2007 and 31/12/2011
Availability
The database can be requested for a designated research purpose on a server by submitting a data request form, solely for researchers or research assistants employed by KRTK. Available for external researchers of the KRTK, researchers participating in joint research with researchers employed by the KRTK (co-authors), PhD students or thesis writers of researchers employed by the KRTK.
National assessment of basic competencies
The National Assessment of Basic Competencies (NABC) is being held each year in May, in the complete 6th, 8th and 10th school grades. The database contains the results of Mathematical and Reading literacy tests and the responses of the background questionnaires on different levels (institutional, settlement, student).
From 2023 onwards, the number of participants in the measurement has been extended to include students in 7th, 9th and 11th grade. However, only students in public education were involved in the measurement in 9th and 11th grades, and in 10th grade in the field of Science.
Datahost
Educational Authority
Purpose
Public report about the test results for the institutions and maintainers.
Population
6th, 8th, 10th grade students and their institutions in the given year (except those settlements/schools that only educate SEN students). 7th, 9th, 11th grade students and their institutions in the given year (except those settlements/schools that only educate students with special education needs), available from the year 2023.
Data providers
The tests are being processed centrally. The institutional and settlement background questionnaires are filled out by the head of the institution/settlement and student questionnaires are filled out by the student, or their family.
Sample size
Every student of the given grade, except the ones who were missing at the time of the test completion, and those students who declined completing the test. (In 2006 and 2007 the survey was fully complete solely in the 8th grade, in the 6th and 10th grades there was a representative sampling).
Time period covered
2006-2019, 2021-2023 (National Assessment of Basic Competencies in 2020 was cancelled due to the pandemic)
Levels of the data
Institutional
Settlement
Student
Main groups of data
1. Institutional data
Contains data of the institution’s address, the responses of the school background questionnaire (equipment, features of the school), the average test results and their variances of the 6th, 8th and 10th grades of every settlement of the institution, by the ID number of the institution.
***From 2019 the variables of institutional data appear in the settlement database.
2. Settlement data
Contains data of the settlement’s address, the responses of the school background questionnaire (equipment, features of the settlement), the average test results and their variances of the of the 6th, 7th, 8th, 9th, 10th and 11th grades of the given settlement, by ID numbers of the institution and the settlement.
3. Student data
Contains data by a unique identifier: of the responses of the student background questionnaire (family background: social, cultural, economic), data related test completion (number of declines, missings, filled outs) level and scale point of the mathematical and reading literacy test, average test points and their variances of the given class, grade, settlement of the institution. It contains the ID number of the institution, the code of settlement and the mark of class in the case of every student/observation.
*** From 2018, the Educational Authority assigns the student data with a new, anonym identifier. This variable has been added to the previous databases retroactively, meaning the years between 2008 – 2017. Thus the variable azon_uj reflects the student’s anonym identifier between 2008 – 2023.
Other features, notes
The institutional datasets can be merged with the settlement and student data by using the ID number, while the settlement and student datasets can be merged by the ID number and settlement codes. From 2008, the unique identifiers of the students have not changed through the years, thus the data of each grade (6., 8.,10.) can be linked together on a student level.
The data have been merged to the KIR-STAT data (number of pupils, types of education, identifiers) every year on an institutional level, concerning the given school year.
The completion rate of the student background questionnaires dropped drastically compared to previous years! NABC tests are filled out digitally since the year 2022. Variables of the new measurement areas – science, language tests – can be found on the databases.
Access to the data
The chief of the Databank authorizes the data request in every case, according to the Databank’s policy.
Availability
The database can be requested for a designated research purpose on a server by submitting a data request form, solely for researchers or research assistants employed by KRTK. Available for external researchers of the KRTK, researchers participating in joint research with researchers employed by the KRTK (co-authors), PhD students or thesis writers of researchers employed by the KRTK.
APPLICATION AND ADMISSION TO HIGHER EDUCATION (FELVI)
The FELVI database contains data of the higher education admissions forms and the available academic programmes between 2001 and 2024. Each year consists of 3 datasets:
- Institutional data
- Admission data
- Individual data
Data host
Office of Education
The objective of the survey
Registering data of applications and admission results
The reference population
All applicants, who submitted an admission form in the given year.
Sample size
All applicants, who submitted an application form in the given year. All programmes of all institutions which were available for the applicants in any of the two rounds of admissions (normal, cross-semester, additional admission procedure).
Period
2001-2024, annually
Levels of data
- Institutional data
- Admission data
- Individual data
Main data groups by level
1. Institutional data
Contains data for each field of study by admission procedure, type of funding, form of education (daytime, evening, distance, correspondence course) and level of training for all higher education institutions.
2. Application data
The application forms contain the application data in long format, i.e. the data is not listed per applicant but per application (per line), indicating which higher education place the applicant was ultimately admitted to.
3. Individual data
The application form contains the following information for each applicant: secondary school data, personal data, academic and secondary school leaving exam results, previous higher education studies, additional points, admission score. Changes have been made to the higher education admission system since 2024, which affects the variables related to points in the 2024 data.
Other characteristics, comments
Institutional and application data can be linked within each year based on the variables eljaras karkod karkod_regi szaknev szint munkarend fin_form. Application and individual data can be linked within each year based on the variables eljaras id.
Availability
The database can be requested for a designated research purpose on a server by submitting a data request form, solely for researchers or research assistants employed by KRTK. Available for external researchers of the KRTK, researchers participating in joint research with researchers employed by the KRTK (co-authors), PhD students or thesis writers of researchers employed by the KRTK.
PUBLIC EDUCATION (KIR-STAT)
The KIR-STAT database contains yearly statistical data on institutions performing public education functions at different levels
Data host
Educational Authority
The objective of the survey
Statistical data of institutions in public education
Target population
All public education institution in Hungary
Data suppliers
Institutions registered through the KIR data system operated by the Educational Authority
Sample size
All public education institutions and their settlements
Period
2001-2023, by year (deadline for reporting by the institutions is 15 October of given year)
Level of data
Institutional
Settlement
Curriculum
Optional:
Vocational training
Remedial education
Main fields of data
Main data of the seat institution and settlements
Facilities, classrooms
Teachers, other school staff
Classes
Number of students in different breakdowns
Private students
Language education
Students with successful vocational exams and matriculation exams
Early development, developmental preparation
Data of nurseries, kindergartens
Enrolment of compulsory school aged students, opening enrolment data
Students with special needs (SEN)
Main characteristics, comments
The KIR-STAT database is structured hierarchically; it contains separate data sheets at the level of institutions, settlements, and separate at the level of programmes running in public education institutions. In addition, separate data sheets are filled in with the institutions providing vocational training, remedial education, speech therapy and language guidance, expert and rehabilitation services and elementary art education.
Availability
The database can be requested for a designated research purpose on a server or by data release, by submitting a data request form.
ROMA SURVEY 1971
In 1971, István Kemény initiated and led a representative survey to the situation of Roma (Gypsy) population of Hungary. The questionaires and part of the digitalised data have been destroyed/lost. This file has been compiled using three incomplete data sets that survived until 2012.
The objective of the survey
Measuring demographic characteristics, living conditions, nutrition, education and employment, income and wealth of the Roma population
The reference population
Roma population living in selected settlements of Hungary. Stratified sampling using prior information on Roma density across and within settlements.
Data suppliers
2 percent of the Roma households interviewed using questionnaires. The adult respondents were asked to provide information on their children and relatives.
Sample size
The final sample contains 2912 people older than 14, who belong to 1056 households. (The original sample contained data of 3510 people older than 14.)
Period
1971
Main topics of data
Main groups of the variables:
education, languages, literacy
Occupation, employment, wages and other benefits
Social transfers, pensions, job search
Alternative sources of income (collecting, etc.)
Marital status, spouses and children
State of health, nutrition
Incarceration experience
Housing, durable goods, livestock
Expenditures and revenues (selected items)
Household characteristics
Availability
The database can be requested for a designated research purpose on a server or by data release, by submitting a data request form.
FINANCIAL STATEMENT OF FIRMS IN THE WAGE SURVEY
Data host
National Tax and Customs Administration, Public Employment Service
The objective of the survey
Broadening the scope for high-quality research by merging individual and firm-level data.
The reference population
Full-time employees and since 2002 part-time employees of economic organizations in Hungary with legal entities with at least 4 employees. In 2002, 2005, 2007 and 2008 non-profit organzations are also surveyed.
Data suppliers
See the entries on the Wage Survey and Corporate Financial Statements
Sample size
9-11 thousand enterprises and 125-185 thousand employees
Period
2000-2011, annually
Main topics of data
Demographics
Education, labour market experience
Wages, occupation
Headcount, ownership, sectorial affiliation, sales revenues, material cost, fixed assets, profits
Availability
The database can be requested for a designated research purpose on a server by submitting a data request form.
CORPORATE FINANCIAL STATEMENTS
Data host
National Tax and Customs Administration
The objective of the survey
Tax collection
The reference population
Enterprises using double-entry bookkeeping system under the Act LXXXI. of 1996 on corporate and dividend taxes
Data suppliers
All enterprises belongs to the above category
Sample size
150-400 thousand enterprises
Period
2000-2022, annually
Main topics of data
Region, headcounts and sector of the enterprise
Selected data from the firms financial statement
Availability
The database can be requested for a designated research purpose on a server by submitting a data request form, solely for researchers or research assistants employed by KRTK. Available for external researchers of the KRTK, researchers participating in joint research with researchers employed by the KRTK (co-authors), PhD students or thesis writers of researchers employed by the KRTK.
CENSUS TRACTS AND THEIR TRANSPORT CONNECTIONS (GEO)
The GEO database consists all of the Hungarian census districts (45 555 unit) and assign all of the education institutions, the health institution and the company workplaces regarding these districts. Furthermore the database consists the distances between the districts and the necessary time and cost to reach one from the another. The producers of the database are the Hungarian Central Statistical Office, the Central European University, the Centre for Economic and Regional Studies of the Hungarian Academy of Sciences (CERS), the GEOX Ltd., Terra-Laky Ltd., and the AntaresNav Ltd. The support institution was the Hungarian Academy of Sciences. The database was created from 2013 to 2015.
Data host
CERS, CEU
The objective of the survey
The database creating connections between the Hungarian census districts and the relevant economic, education amd health related indicators together with the criterion of the distance between these districts and the environment of the districts.
Distributors of the database
HCSO
CEU
Geox Ltd.
Terra-Laky Ltd.
AntaresNav Ltd.
Sample size
45 555 census unit
Period
the base of the dataset is the districts of the Hungarian Census 2011
public transport data: 2014
private car data: 2015
company seats/workplace data 2014
education, health care, social institutions: 2015
Other features, comments
The database was divided into parts because of the large number of the variables and cases. The researchers can work with these parts regarding the goals of the research.
Main topics of data
Static description of the census districts
Variables regarding the districts, duration time and costs between two district
Administration data about the institutions (addresses of the nursery and pre-school, public education and tertiary education institution, health and social institutions
Data about the company workplaces: the database build connections between the census districts and the tax identifier number of the companies. (By the help of this the statement of accounts will be able to merge to the database)
Postal codes of the districts
Availability
The database can be requested for a designated research purpose on a server by submitting a data request form.
ADMIN 2 (2003-2011)
Data host
National Health Insurance Fund Administration, Central Administration of National Pension Insurance, National Tax and Customs Administration, National Labour Office, Educational Authority
The objective of the survey
The objective of the data is career tracking (even for specific groups).
The reference population
Half of the population aged 5-74 in 2003
Data suppliers
OEP, ONYF, NAV, NMH, OH by administrative data collection
Sample size
ca. 4 602 000 people
Period
2003-2011, monthly
Main topics of data
Demographics (age, gender)
Educational attainment (for those with at least one unemployment spell)
Employment status
Occupation
Wages
Transfer receipt
Main characteristics of the survey
The units of observation are payment records (contribution payments and/or transfer receipts) on the 15th day of a given month by a given person. The observed individuals may have several payment records at a given point in time.
Availability
The database can be requested for a designated research purpose on a server by submitting a data request form.
ACCESSIBILITY WITH REGIONAL BUS LINES (VOLAN)
Data host
CData Limited Partnership
The objective of the survey
The objective of the data is analysing the spatial links between settlements and modelling their availability by public transport.
The reference population
The set of bus lines operated by Volan companies
Data suppliers
Published timetables of the Volan companies
Sample size
434 958 bus lines, which trip between 3109 place of departure and 3100 place of arrival
Period
The dataset is referring to the published timetable valid on 16th February 2006.
Main topics of data
Departure and arrival times, places of departure and arrival, characteristics of the buses in a given half-hour interval
Characteristics of the settlements
Main characteristics of the survey
The survey contains data on buses which travel between 5.30 and 9.00 a.m., if their travel time is less than 90 minutes.
UNEMPLOYMENT REGISTER – MUNICIPALITY LEVEL TIME SERIES
Data host
National Employment Office
The objective of the survey
The dataset is useful for calculating the unemployment rate on regional level.
The reference population
People who registered as unemployed in regional labour offices.
Data suppliers
Labour offices
Sample size
The settlements of the Hungarian administrative system, ca. 3150.
Period
from 1990 to 1997 the data are from March, June, September, December
1998 – 2024 monthly data
Main topics of data
Demographics, Education, Services, Length of registration
Reason of the exits and enter on the labour market
Availability
The database can be requested for a designated research purpose on a server or by data release, by submitting a data request form.
Household Budget Survey
Data host
Hungarian Central Statistical Office
The objective of the survey
The survey is detecting the monetary and non monetary incomes and expenditures of the population.
The reference population
Hungarian citizens living in private households in Hungary.
Data suppliers
The population of Hungary living in private households, surveyed by questionnaires.
Sample size
7.5-10 thousand households, 20-26 thousand individuals
Period
1993-2012, annually
Main topics of data
The expenditures and revenues of the households
Demographics
Economic activity and housing conditions
Durable consumer goods
Main characteristics of the survey
The sample is drawn using multi-stage stratified sample design, and it is independent of the size of settlement.
A households is in the sample for 3 years, third of the whole sample is replaced annually.
The weighting method is generalized iterative scaling.
Availability
The database can be requested for a designated research purpose on a server by submitting a data request form, solely for researchers or research assistants employed by KRTK. Available for external researchers of the KRTK, researchers participating in joint research with researchers employed by the KRTK (co-authors), PhD students or thesis writers of researchers employed by the KRTK.
REGIONAL STATISTICS (T-STAR)
Data host
Hungarian Central Statistical Office
The objective of the survey
The survey yields information on the universe of Hungary’s settlements, with data on their demographics, educational composition, unemployment and various indicators of the local economy.
The reference population
Administratively independent settlements (municipalities)
Data suppliers
The data are collected by the Central Statistical Office mainly from the local governments, but also from ministries and governmental institutions.
Sample size
3 164 settlements, which existed for at least one day since 1st January 1990
Period
1990-2022, annually
Main topics of data
Accidents
Demographics
Health
Economic Entities
Justice
Industry
Trade, hospitality
Transportation, communication
Culture, public education
Government
Communal Infrastructure
Pollution
House stock
Agriculture
Unemployment
Education
Municipal Aid
Municipal budget
Social services
Tourism
Income taxes
Employes
Availability
The database can be requested for a designated research purpose on a server or by data release, by submitting a data request form.
Labour Force Survey
Data host
Hungarian Central Statistical Office
The objective of the survey
The survey provides information on the economic activity of the population, following Eurostat guidelines. Rotating panel, with each cohort staying in the sample for six quarters.
The reference population
People at age 15-74, living in private households. The sampling units are dwellings.
Data suppliers
Residents in Hungary living in households
Sample size
The number of observed households varied between 22,000 and 34,000 in 1992-2012. The sample contains 45,000-70,000 people aged 15-74 and between 15,000 and 20,000 people outside this age range.
Period
1992-2024. IV. , quarterly
Main topics of data
Demographics, Education
Labour market status
Transfer status
Household characteristics
Residence characteristics
Main characteristics of the survey
The sample is drawn using multi-stage stratified sample design.
Weighs ensure that the sample is representative.
Availability
From the second quarter of 2014, according to the KSH-KRTK agreement, by filling out an application form, after approval by the KSH, exclusively for projects affiliated with the KRTK on the server.
WAGE SURVEYS
Data host
Public Employment Service 1986-2018, Central Statistical Office, 2019-
The objective of the survey
Data are primarily suitable for the repeated cross-sectional analysis of wage levels and wage dispersion.
The reference population
In the case of the public sector, the survey covers all employees of all budget institutions. The survey covers all firms employing more than 20 workers, and a random sample of businesses employing 20 or less workers. In private firms employing more than 50 workers, the individual data relate to a random sample of the employees. In the case of smaller firms, the data cover all employees. From 2002 onwards, the reference population includes part-time employees.
Data suppliers
All institution of the budget sector, sall economic organizations with legal entities above a certain size, and a random samle of smaller firms. In some years, non-profit organizations are also included.
Sample size
100-200 thousand employees, depending on year-
Period
1986, 1989, 1992-2018, annualy
Main topics of data
Demographics
Education, Work experience
Wages
Size, ownership and sectoral affiliation of the companies
Geographical location, the characteristics of the settlement
Main characteristics of the survey
Data collection is carried out separately at each site/branch of an enterprise
The cases are weighted to ensure representativity.
Availability
The database can be requested for a designated research purpose on a server or by data release, by submitting a data request form.
NMH BÉRTARIFA-FELVÉTEL
Az éves harmonizált Bértarifa-felvétel munkavállalói megfigyeléseket tartalmaz, elsősorban a munkavállalók kereseti elemeiről ad részletes információt.
Adatgazda
Nemzeti Munkaügyi Hivatal
A felvétel célja
Kereseti szint és a kereseti arányok ismételt keresztmetszeti elemzése
Célsokaság
Költségvetési szektor esetén az összes intézmény véletlen minta alapján választott dolgozói, vállalati szektor esetén bizonyos mérethatár felett az összes vállalat véletlenszerűen kiválasztott dolgozói, bizonyos mérethatár alatt a vállalatok egy véletlen mintájának összes dolgozója (2002-től részmunkaidős munkavállalók is)
Adatszolgáltatók köre
Kérdőíves felmérés; költségvetési intézmények és az ország területén bizonyos mérethatár felett működő jogi személyiségű gazdasági szervezetek, továbbá bizonyos években a non-profit szervezetek
A minta nagysága
100-220 ezer munkavállalói megfigyelés évente
Időszak
1986, 1989, 1992-2016, évenként
Főbb adatcsoportok
- Demográfiai jellemzők
- Iskolai végzettség
- Munkaerőpiaci tapasztalat
- Foglalkozás
- Kereset
- Vállalat létszám, tulajdon és ágazati hovatartozása
- Telephely földrajzi környezete, települési jellemzők
Egyéb jellemzők, megjegyzések
- A mintavétel telephelyenként történik.
- A minta reprezentativitását az egyéni és vállalati súlyok szorzataként képzett súly
- biztosítja.
- 1993-ban a költségvetési dolgozók iskolázottságára vonatkozó adatot nem vették fel, a harmonizált adatbázis ebben az évben csak a vállalati megfigyeléseket tartalmazza.
Az adatok elérhetősége
Az adatkérést minden esetben az Adatbank vezetője engedélyezi az Adatbanki szabályzatban foglaltak alapján.
