CENSUS 2011 (Regional data)
Work in progress
Databank of Centre for Economic and Regional Studies
CENSUS 2011 (Regional data)
Work in progress
National Health Insurance Fund Administration, Central Administration of National Pension Insurance, National Tax and Customs Administration, National Labour Office, Educational Authority
Tracking workers and employers in a period of 15 years
Half of the population aged 0+ in 2003
Registers of OEP, ONYF, NAV, NMH, and OH
ca. 5.174.486 people
2003-2017, monthly
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
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.
Available for researchers of the CERS, their co-authors, and students until February 1, 2022. Unconditionally available after this date.
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 data is career tracking (even for specific groups).
Half of the population aged 5-74 in 2002
OEP, ONYF, NAV, NMH, OH by administrative data collection
ca. 4 602 000 people
2002-2009, monthly
Demographics (age, gender)
Educational attainment (for those with at least one unemployment spell)
Employment status
Occupation
Wages
Transfer receipt
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.
Unconditionally available for academic research
Work in progress
Work in progress
Hungarian Central Statistical Office
Work in progress
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).
Educational Authority
Public report about the test results for the institutions and maintainers.
6th, 8th, 10th grade students and their institutions in the given year (except those settlements/schools that only educate SEN students).
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.
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).
2006-2017, every year
Institutional
Settlement
Student
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.
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, 8th and 10th 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.
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 FELVI database contains data of the higher education admissions forms and the available academic programmes between 2001 and 2017. Each year consists of 3 datasets:
Institutional data
Admission data
Individual data
Office of Education
Registering data of applications and admission results
All applicants, who submitted an admission form in the given year. (In any of the two rounds of admissions)
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.
2001-2017, annually
Institutional data
Admission data
Individual data
Work in progress
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.
Measuring demographic characteristics, living conditions, nutrition, education and employment, income and wealth of the Roma population
Roma population living in selected settlements of Hungary. Stratified sampling using prior information on Roma density across and within settlements.
2 percent of the Roma households interviewed using questionnaires. The adult respondents were asked to provide information on their children and relatives.
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.)
1971
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
Unconditionally available for academic research
National Tax and Customs Administration, Public Employment Service
Broadening the scope for high-quality research by merging individual and firm-level data.
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.
See the entries on the Wage Survey and Corporate Financial Statements
9-11 thousand enterprises and 125-185 thousand employees
2000-2011, annually
Demographics
Education, labour market experience
Wages, occupation
Headcount, ownership, sectorial affiliation, sales revenues, material cost, fixed assets, profits
National Tax and Customs Administration
Tax collection
Enterprises using double-entry bookkeeping system under the Act LXXXI. of 1996 on corporate and dividend taxes
All enterprises belongs to the above category
150-400 thousand enterprises
2000-2017, annually
Region, headcounts and sector of the enterprise
Selected data from the firms financial statement
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.
CERS, CEU
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.
HCSO
CEU
Geox Ltd.
Terra-Laky Ltd.
AntaresNav Ltd.
45 555 census unit
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
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.
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
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 data is career tracking (even for specific groups).
Half of the population aged 5-74 in 2003
OEP, ONYF, NAV, NMH, OH by administrative data collection
ca. 4 602 000 people
2003-2011, monthly
Demographics (age, gender)
Educational attainment (for those with at least one unemployment spell)
Employment status
Occupation
Wages
Transfer receipt
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.
Unconditionally available for academic research
CData Limited Partnership
The objective of the data is analysing the spatial links between settlements and modelling their availability by public transport.
The set of bus lines operated by Volan companies
Published timetables of the Volan companies
434 958 bus lines, which trip between 3109 place of departure and 3100 place of arrival
The dataset is referring to the published timetable valid on 16th February 2006.
Departure and arrival times, places of departure and arrival, characteristics of the buses in a given half-hour interval
Characteristics of the settlements
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.
National Employment Office
The dataset is useful for calculating the unemployment rate on regional level.
People who registered as unemployed in regional labour offices.
Labour offices
The settlements of the Hungarian administrative system, ca. 3150.
from 1990 to 1997 the data are from March, June, September, December
1998 – July 2018 monthly data
Demographics, Education, Services, Length of registration
Reason of the exits and enter on the labour market
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.
Hungarian Central Statistical Office
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.
Administratively independent settlements (municipalities)
The data are collected by the Central Statistical Office mainly from the local governments, but also from ministries and governmental institutions.
3 164 settlements, which existed for at least one day since 1st January 1990
1990-2019, annually
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
Cities
Unconditionally available for academic research
Hungarian Central Statistical Office
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.
People at age 15-74, living in private households. The sampling units are dwellings.
Residents in Hungary living in households
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.
1992-2020. III. , quarterly
Demographics, Education
Labour market status
Transfer status
Household characteristics
Residence characteristics
The sample is drawn using multi-stage stratified sample design.
Weighs ensure that the sample is representative.
Conditional upon approvement by the Central Statistical Office
Public Employment Service 1986-2018, Central Statistical Office, 2019-
Data are primarily suitable for the repeated cross-sectional analysis of wage levels and wage dispersion.
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.
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.
100-200 thousand employees, depending on year-
1986, 1989, 1992-2016, annualy
Demographics
Education, Work experience
Wages
Size, ownership and sectoral affiliation of the companies
Geographical location, the characteristics of the settlement
Data collection is carried out separately at each site/branch of an enterprise
The cases are weighted to ensure representativity.
Available for researchers of the CERS, their co-authors and students
Az éves harmonizált Bértarifa-felvétel munkavállalói megfigyeléseket tartalmaz, elsősorban a munkavállalók kereseti elemeiről ad részletes információt.
Nemzeti Munkaügyi Hivatal
Kereseti szint és a kereseti arányok ismételt keresztmetszeti elemzése
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)
Kérdőíves felmérés; költségvetési intézmények és az ország területén bizonyos mérethatár felett működő jogi személyiségű gazdasági szervezetek, továbbá bizonyos években a non-profit szervezetek
100-220 ezer munkavállalói megfigyelés évente
1986, 1989, 1992-2016, évenként
Az adatkérést minden esetben az Adatbank vezetője engedélyezi az Adatbanki szabályzatban foglaltak alapján.
Taratlom mef
Tartalom bértarifa