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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Hungarian Central Statistical Office |
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1.2. Contact organisation unit | Census Department |
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1.5. Contact mail address | Hungarian Central Statistical Office 1032 Budapest Keleti Károly utca 5-7. Hungary |
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2.1. Metadata last certified | 31/03/2014 | ||
2.2. Metadata last posted | 31/03/2014 | ||
2.3. Metadata last update | 19/08/2014 |
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3.1. Data description | |||
Not available. |
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3.2. Classification system | |||
Place of usual residence: based on the Hungarian Area Code Signal System Citizenship, country of birth: based on HCSO Country Register made from ISO-3161-1 Occupation: based on the Hungarian Standard Classification of Occupations (FEOR-08) recoded by the International Standard Classification of Occupations (ISCO-08) Industry: the Hungarian Statistical Classification of Economic Activities (TEÁOR-08) corresponds to the Statistical Classification of Economic Activities in the European Community (NACE Rev.2) Educational attainment: based on the Hungarian Standard Classification of Education (KEOR-03) recoded by the International Standard Classification of Education (ISCED-97) |
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3.3. Coverage - sector | |||
3.4. Statistical concepts and definitions | |||
3.4.1. Statistical concepts and definitions - Usual residence Usual residence means the place where a person normally spends the daily period of rest, regardless of temporary absences for purposes of recreation, holidays, visits to friends and relatives, business, medical treatment or religious pilgrimage. Those persons who has been staying in the country for less then a year are considered to have the will to stay for more than 12 months and are included in the total usually resident population. 3.4.2. Statistical concepts and definitions - SexTotal Male Female 3.4.3. Statistical concepts and definitions - AgeThe age reached at the reference date (in completed years). 3.4.4. Statistical concepts and definitions - Marital statusMarital status is the (legal) conjugal status of an individual in relation to the marriage laws of the country (de jure status). According to Hungarian Civil Code marriage is possible between a man and a woman. The minimum age for marriage is 18 years, but in special cases the age limit can be 16 years after special procedure. Same-sex couples can establish registered partnership according to Act XXIX. from 1st July 2009. The minimum age of a registered partnership is 18 years without exception. Marriages and registered partnerships can end with the partner’s death or divorce. The category ’legally separated’ does not exist in the Hungarian law. 3.4.5. Statistical concepts and definitions - Family statusThe family nucleus is defined in the narrow sense, that is as two or more persons who belong to the same household and who are related as husband and wife, as partners in a registered partnership, as partners in a consensual union, or as parent and child. Thus a family comprises a couple without children, or a couple with one or more children, or a lone parent with one or more children. This family concept limits relationships between children and adults to direct (first-degree) relationships, that is between parents and children. Private households may be defined according to the 'housekeeping concept' , or, if this is not possible, Member States may apply the 'household-dwelling' concept. Household status had been defined based on two questions: – the serial number of the household in the dwelling – the role of the person in the family/household, with the possible answers listed as:
If more than one answer could be applied for the person, he/she had to mark the one appearing first in the list. Household status had to be marked based on the real not on the legal situation. All same-sex partners are classified as cohabiting partners. Final data of household status had been produced in accordance with age, sex, legal marital status, cohabiting partnership and fertility data. The questionnaire did not contain the name of the respondent. 3.4.7. Statistical concepts and definitions - Current activity statusCurrent activity status' is the current relationship of a person to economic activity, based on a reference period of one week, which may be either a specified, recent, fixed, calendar week, or the last complete calendar week, or the last seven days prior to enumeration. Occupation' refers to the type of work done in a job (that is the main tasks and duties of the work). Persons doing more than one job are allocated an occupation based on their main job, which is identified according to the time spent on the job or, if not available, to the income received. Industry (branch of economic activity) is the kind of production or activity of the establishment (or similar unit) in which the job of a currently economically active person is located. An 'employee' is a person who works in a 'paid employment' job, that is a job where the explicit or implicit contract of employment gives the incumbent a basic remuneration, which is independent of the revenue of the unit for which he/she works. The location of the place of work is the geographical area in which a currently employed person does his/her job. Those who marked the answer 'work in different localities' are classified in the category ‘in Hungary without region’. 3.4.12. Statistical concepts and definitions - Educational attainment'Educational attainment' refers to the highest level successfully completed in the educational system of the country where the education was received. Qualifications obtained outside the school system are not taken into account (e.g. courses in workplaces, language courses). A locality is defined as a distinct population cluster, that is an area defined by population living in neighbouring or contiguous buildings. Such buildings may either: Place of birth is defined as the place of usual residence of the mother at the time of the birth, or, if not available, as the place in which the birth took place. Citizenship is defined as the particular legal bond between an individual and his/her State, acquired by birth or naturalisation, whether by declaration, option, marriage or other means according to the national legislation. The year of arrival is the calendar year in which a person most recently established usual residence in the country. The data for 2011 refer to the time span between 1 January 2011 and the reference date. 3.4.17. Statistical concepts and definitions - Residence one year beforeThis indicates the relationship between the current place of usual residence and the place of usual residence one year prior to the census. Children under one year of age are classified under 'Not applicable'. The topic 'Housing arrangements' covers the whole population and refers to the type of housing in which a person usually resides at the time of the census. This covers all persons who are usual residents in different types of living quarters, or who do not have a usual residence and stay temporarily in some type of living quarters, or who are roofless, sleeping rough or in emergency shelters, when the census is taken. The family nucleus is defined in the narrow sense, that is as two or more persons who belong to the same household and who are related as husband and wife, as partners in a registered partnership, as partners in a consensual union, or as parent and child. Thus a family comprises a couple without children, or a couple with one or more children, or a lone parent with one or more children. This family concept limits relationships between children and adults to direct (first-degree) relationships, that is between parents and children. The family nucleus is defined in the narrow sense, that is as two or more persons who belong to the same household and who are related as husband and wife, as partners in a registered partnership, as partners in a consensual union, or as parent and child. Thus a family comprises a couple without children, or a couple with one or more children, or a lone parent with one or more children. This family concept limits relationships between children and adults to direct (first-degree) relationships, that is between parents and children. Private households may be defined according to the 'housekeeping concept' , or, if this is not possible, Member States may apply the 'household-dwelling' concept. Private households may be defined according to the 'housekeeping concept' , or, if this is not possible, Member States may apply the 'household-dwelling' concept. The topic 'Tenure status of households' refers to the arrangements under which a private household occupies all or part of a housing unit. 'Conventional dwellings' are structurally separate and independent premises at fixed locations which are designed for permanent human habitation and are, at the reference date, either used as a residence, or vacant, or reserved for seasonal or secondary use. 'Occupied conventional dwellings' are conventional dwellings which are the usual residence of one or more persons at the time of the census. 'Unoccupied conventional dwellings' are conventional dwellings which are not the usual residence of any person at the time of the census. The topic 'Type of ownership' refers to the ownership of the dwelling and not to that of the land on which the dwelling stands. The number of occupants of a housing unit is the number of people for whom the housing unit is the usual residence. 3.4.28. Statistical concepts and definitions - Useful floor spaceUseful floor space is defined as the floor space measured inside the outer walls excluding non-habitable cellars and attics and, in multi-dwelling buildings, all common spaces; or the total floor space of rooms falling under the concept of 'room'. A 'room' is defined as a space in a housing unit enclosed by walls reaching from the floor to the ceiling or roof, of a size large enough to hold a bed for an adult (4 square metres at least) and at least 2 metres high over the major area of the ceiling. 3.4.30. Statistical concepts and definitions - Density standard (floor space)The topic ‘Density standard’ relates the useful floor space in square metres or the number of rooms to the number of occupants, as specified under the topic 'Number of occupants'. The topic ‘Density standard’ relates the useful floor space in square metres or the number of rooms to the number of occupants, as specified under the topic 'Number of occupants'. Total Piped water in the housing unit No piped water in the housing unit Not stated 3.4.33. Statistical concepts and definitions - Toilet facilitiesTotal Flush toilet in the housing unit No flush toilet in the housing unit Not stated 3.4.34. Statistical concepts and definitions - Bathing facilitiesA bathing facility is any facility designed to wash the whole body and includes shower facilities. 3.4.35. Statistical concepts and definitions - Type of heatingA housing unit is considered as centrally heated if heating is provided either from a community heating centre or from an installation built in the building or in the housing unit, established for heating purposes, without regard to the source of energy. 3.4.36. Statistical concepts and definitions - Type of buildingThe topic 'Dwellings by type of building' refers to the number of dwellings in the building in which the dwelling is placed. 3.4.37. Statistical concepts and definitions - Period of constructionThe topic 'Dwellings by period of construction' refers to the year when the building in which the dwelling is placed was completed. |
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3.5. Statistical unit | |||
The EU programme for the 2011 population and housing censuses include data on persons, private households, family nuclei, conventional dwellings and living quarters |
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3.6. Statistical population | |||
Persons enumerated in the 2011 census are those who were usually resident in the territory of the reporting country at the census reference date. Usual residence means the place where a person normally spends the daily period of rest, regardless of temporary absences for purposes of recreation, holidays, visits to friends and relatives, business, medical treatment or religious pilgrimage |
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3.7. Reference area | |||
Data are available at different levels of geographical detail: national, NUTS2, NUTS3 and local administrative units (LAU2) |
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3.8. Coverage - Time | |||
Data refer to the situation in the reporting country at the census reference date (see item 5) |
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3.9. Base period | |||
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Counts of statistical units |
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01/10/2011 |
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6.1. Institutional Mandate - legal acts and other agreements | |||
Common reminder of EU legislation Act CXXXIX of 2009 on the census of 2011 (Amendments: Act XLIX of 2010, Act CXXXVII of 2010) Government decree no. 305/2010 (23 December 2010) on certain tasks of the implementation of the census of 2011 (Amendments: Government decree no. 254/2011 (6 December 2011), Government decree no. 41/2012 (14 March 2012)) Government decree no. 1119/2012 (21 April 2012) on data entry Instructions:
Public procurements:
General legal background: Act XLVI of 1993 on statistics Act CXII of 2011 on data protection Act LXXVII of 1993 on national and ethnic minorities |
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6.1.1. Bodies responsible | |||
Bodies responsible for territorial preparation and persecution of the census data collection: |
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6.2. Institutional Mandate - data sharing | |||
Not available. |
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7.1. Confidentiality - policy | |||
Confidentiality requirements appear in all areas of the census. The Census Act guarantees that the data collected over the census execution should not be linked with the respondents later. Participants of the census exercise were obligated to strict privacy. Gathering and processing the questionnaires was carried out in a strict order. Neither the name nor the identification of the respondent which could have allow linking census data with data in administrative registers was present on the census questionnaire. Unique census identifiers and identification codes enabled respondents to fill the questionnaires online. This procedure guaranteed that no unauthorized persons could have access to any personal data. Paper questionnaires from the county census offices were taken directly to the premise of central data processing meeting the requirements of safe delivery. After data processing addresses and census data has been stored separately. After data entry paper questionnaires were destroyed. Digital images of the questionnaires are stored, but address is not present on them anymore. Data are disseminated observing strict data protection rules. Data are published in statistical aggregates. The protection of statistical data is regulated by the Statistical Act and the Data Protection Act. In addition, there are several directions and provisions of the President of the HCSO about detailed data protection measures. All these legal acts and procedures protect individual data collected in the census against disclosure. The statistical office is responsible for observing data protection and data security requirements. An independent body was supervising data protection during the entire census process (until 31st December 2011 the Ombudsman for data protection, after that the National Authority for Data Protection and Freedom of Information). |
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7.2. Confidentiality - data treatment | |||
Census data dissemination has to serve the users’ needs for detailed territorial data, and at the same time meet the requirements of protection against disclosure. The aim is to avoid publishing extremely low occurrence in data dissemination. Locality level data are disseminated observing the “rule of three” (occurrences under 3 are not published) for topics considered sensitive such as marital status, economic activity, occupation, industry, commuting, nationality, religion, disability, long-term illness. In case the masked value can be calculated still, secondary data protection process is used. In deeper than locality level dissemination the “rule of three” is used for all topics. The output produced from census microdata sets by users in the Research room is strictly checked against disclosure control. |
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8.1. Release calendar | |||
Data are made available 27 months after the end of the reference period (March 2014) |
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8.2. Release calendar access | |||
8.3. Release policy - user access | |||
All publications with related methodological guidelines and Public Use Files from the 2011 census are available on the HCSO census website (http://www.ksh.hu/nepszamlalas). English versions are continually made available. Press conferences drew the attention of the public to the publication of preliminary and final data. The Dissemination Calendar of the HCSO gives up-to-date information about the forthcoming publications to users (http://www.ksh.hu/apps/shop.egyeb?p_session_id=811532028356598&p_lang=EN&p_sablon=NAPTAR). The census website informs about new releases, while the Publication Repertory (http://www.ksh.hu/apps/shop.main) informs about the printed publications also. Questions about publications, unique data requests or methodology can be sent to the statistical office (info@ksh.hu) or directly to Census Department (nepszamlalas@ksh.hu). |
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Data on population and housing censuses are disseminated every decade |
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10.1. Dissemination format - News release | |||
In preparation phase:
In data collection and data processing phase:
In dissemination phase:
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10.2. Dissemination format - Publications | |||
Data of parliamentary individual election districts (13/11/2013) All publications are available online: http://www.ksh.hu/nepszamlalas/ |
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10.3. Dissemination format - online database | |||
In the dissemination database of the HCSO 10 region and county level datasets are available, 8 sets containing population, 2 sets containing dwelling data. (http://statinfo.ksh.hu) |
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10.4. Dissemination format - microdata access | |||
For the purpose of scientific research of statistical data a Research Room is available in the HCSO where the access to anonymised microdata is provided in strict compliance with the high-level protection of individual data and the rules of data protection (http://www.ksh.hu/kutatoszoba). Services of the Research room are available only after the Research room contract and the Confidentiality declaration were signed. An anonymized 10 per cent sample of the 2011 census microdata is permanently available in the Research Room. In case this dataset does not fully correspond to a certain research purpose, on the basis of a separate agreement, the researcher may ask for producing a special dataset meeting his/her requirements and ensuring access to it in the Research room. The demand for research can be initiated by completing the research application form, which will be judged by the Census department of HCSO. The use of datasets permanently available in the research room, preliminarily compiled for research, is free. Public Use Files available on the website help the preparation for the research. (http://www.ksh.hu/nepszamlalas/tesztallomanyok) |
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10.5. Dissemination format - other | |||
Studies and analyses published in different professional journals: - 6 studies about census preparations (2008-2011) - 9 studies about census data (2013) |
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11.1. Documentation on methodology | |||
A separate legal act declared the method of execution of the 2011 Hungarian census and other high-level legal regulations defined the details of execution. HCSO developed a special census website (http://www.ksh.hu/nepszamlalas/) in order to inform the public about the basic legal documents, the census methodology, the census process, the actual phase of data processing and later about the results. The census questionnaires and instructions in 19 languages were also published on the website. Methodological documentation named "Methodological notes and definitions" that helps understanding data disseminations is also available on the website. To help researchers Public Use Files with related record descriptions are available on the website. Detailed national quality report will be published on the HCSO census website in 2014. |
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11.2. Quality management - documentation | |||
The entire process of the census was monitored by quality indicators. Results of processing and census data also had been observed by quality indicators. Instructions for the different actors of the census data collections as well as the contracts and other documents of the outsourced work contained numerous quality requirements. The quality assurance of outsourced IT tasks had been carried out by external firm dealing with quality assurance. Resulting documents are archived in the administration libraries of the Census IT project. Some of these documents are available on the HCSO census website. Detailed national quality report is being produced to present comprehensively the measuring methods and the results regarding the processes and also the data. Quality report will be available on the HCSO census website in 2014 http://www.ksh.hu/nepszamlalas/. |
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12.1. Quality assurance | |||
Restricted from publication | |||
12.2. Quality management - assessment | |||
The 2011 year Hungarian Census meets the expectations by all quality criteria. Relevance: The scope of census topics mandatory by EU regulation had been expanded based on the results of several discussion forums organized for users in the preparatory phase of the census. Completeness: Post enumeration survey one month after the census examined completeness. Reliability: Data derived from full-scope enumeration are reliable for all topics. Timeliness, punctuality: Preliminary census data had been released four month after the end of data collection (March 2012). The first publication of final data appeared in 28th March 2013. Since then data publications about different census topics have been released continuously. Quality problems regarding the punctuality of the data had not been revealed. Comparability: For the definition of census topics the methodology prescribed in the EU regulation and the UNECE recommendation had been used to ensure EU level comparability. |
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12.2.1. Coverage assessment | |||
The address register of the HCSO was the frame of the enumeration. This register contains the addresses of all the dwellings, other occupied housing units and holiday houses in Hungary. Coverage of the dwelling stock: The enumerators had to make account of all the addresses of the frame of enumeration in their enumeration districts (address enumerated, address not existing). The addresses found in the district had to be added as new. A map of the district helped the work of the enumerators, which ensured covering all the addresses and avoiding double counting. Coverage of the population living in dwellings and institutions: The enumerators had to make account of all the addresses in their enumeration districts and they had to enumerate all persons considered to belong in the scope of the census. Coverage of the homeless persons: The notary of the settlement ensured enumerating homeless persons based on the Instruction for notaries. Information about the realization of enumeration (address enumerated, address partly enumerated, address not enumerated) had been registered in the monitoring system. Data of partly or not enumerated addresses (under-coverage) had been taken from the Official Population and Address Register maintained by central agency in order to ensure full-scope enumeration of dwellings and population living in the dwellings. At the start of the data processing not occupied holiday houses that did not belong to the scope of the census (dwelling over-coverage) had been filtered out based on dwelling questionnaire data. These questionnaires were not further processed. Those persons who were enumerated not only in their usual residence but also in another address (population over-coverage) had been filtered out also in the processing based on questionnaire information. Questionnaires considered redundant were not further processed. |
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12.2.2. Post-enumeration survey(s) | |||
HCSO carried out a Post Enumeration Survey for quality assessment two month after the census reference date, between 1 and 15 December 2011. The purpose of the PES was to examine the coverage of the census and to measure the accuracy of some basic data. The survey was voluntary. To ensure the comparability with the census, the instructions for the enumeration were exactly the same as in the census exercise. The PES was based on a single-stage stratified sample, selected from census districts. Assigning the sample the expected non-response rate of the voluntary survey based on non-response rates of other regular surveys conducted by HCSO had been taken into account. Finally 159 census enumeration districts were selected, containing 21 230 addresses (approximately 0,5% of the dwellings). Enumerators re-visited all the addresses in the assigned districts with the same address list used in the census and completed the dwelling and personal questionnaires designed for the PES in face-to-face interview. Questionnaires were designed to be able to handle the changes occurred since the census reference date (birth, death, migration). The results of PES met the preliminary expectations. |
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13.1. Relevance - User Needs | |||
The census data disseminated by Eurostat are addressed to policy makers, researchers, media and the general public. |
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13.2. Relevance - User Satisfaction | |||
No user satisfaction surveys are carried out. User inquiries are handled by the Eurostat User Support service. |
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13.3. Completeness | |||
Depends on the availability of data transmitted by the National Statistical Institutes. |
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14.1. Accuracy - overall | |||
14.1.1. Accuracy overall - Usual residence There are no particular reasons for data unreliability for this topic 14.1.2. Accuracy overall - SexThere are no particular reasons for data unreliability for this topic 14.1.3. Accuracy overall - AgeThere are no particular reasons for data unreliability for this topic 14.1.4. Accuracy overall - Marital statusThere are no particular reasons for data unreliability for this topic 14.1.5. Accuracy overall - Family statusThere are no particular reasons for data unreliability for this topic 14.1.6. Accuracy overall - Household statusThere are no particular reasons for data unreliability for this topic 14.1.7. Accuracy overall - Current activity statusThere are no particular reasons for data unreliability for this topic 14.1.8. Accuracy overall - OccupationThere are no particular reasons for data unreliability for this topic 14.1.9. Accuracy overall - IndustryThere are no particular reasons for data unreliability for this topic 14.1.10. Accuracy overall - Status in employmentThere are no particular reasons for data unreliability for this topic 14.1.11. Accuracy overall - Place of workThere are no particular reasons for data unreliability for this topic 14.1.12. Accuracy overall - Educational attainmentThere are no particular reasons for data unreliability for this topic 14.1.13. Accuracy overall - Size of the localityThere are no particular reasons for data unreliability for this topic 14.1.14. Accuracy overall - Place of birthThere are no particular reasons for data unreliability for this topic 14.1.15. Accuracy overall - Country of citizenshipThere are no particular reasons for data unreliability for this topic 14.1.16. Accuracy overall - Year of arrival in the countryThere are no particular reasons for data unreliability for this topic 14.1.17. Accuracy overall - Residence one year beforeThere are no particular reasons for data unreliability for this topic 14.1.18. Accuracy overall - Housing arrangementsThere are no particular reasons for data unreliability for this topic 14.1.19. Accuracy overall - Type of family nucleusThere are no particular reasons for data unreliability for this topic 14.1.20. Accuracy overall - Size of family nucleusThere are no particular reasons for data unreliability for this topic 14.1.21. Accuracy overall - Type of private householdThere are no particular reasons for data unreliability for this topic 14.1.22. Accuracy overall - Size of private householdThere are no particular reasons for data unreliability for this topic 14.1.23. Accuracy overall - Tenure status of householdThere are no particular reasons for data unreliability for this topic 14.1.24. Accuracy overall - Type of living quarterThere are no particular reasons for data unreliability for this topic 14.1.25. Accuracy overall - Occupancy statusThere are no particular reasons for data unreliability for this topic 14.1.26. Accuracy overall - Type of ownershipThere are no particular reasons for data unreliability for this topic 14.1.27. Accuracy overall - Number of occupantsThere are no particular reasons for data unreliability for this topic 14.1.28. Accuracy overall - Useful floor spaceThere are no particular reasons for data unreliability for this topic 14.1.29. Accuracy overall - Number of roomsThere are no particular reasons for data unreliability for this topic 14.1.30. Accuracy overall - Density standard (floor space)There are no particular reasons for data unreliability for this topic 14.1.31. Accuracy overall - Density standard (number of rooms)There are no particular reasons for data unreliability for this topic 14.1.32. Accuracy overall - Water supply systemThere are no particular reasons for data unreliability for this topic 14.1.33. Accuracy overall - Toilet facilitiesThere are no particular reasons for data unreliability for this topic 14.1.34. Accuracy overall - Bathing facilitiesThere are no particular reasons for data unreliability for this topic 14.1.35. Overall accuracy - Type of heatingThere are no particular reasons for data unreliability for this topic 14.1.36. Overall accuracy - Type of buildingThere are no particular reasons for data unreliability for this topic 14.1.37. Overall accuracy - Period of constructionThere are no particular reasons for data unreliability for this topic |
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14.2. Sampling error | |||
14.3. Non-sampling error | |||
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15.1. Timeliness | |||
31/03/2014 |
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15.2. Punctuality | |||
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16.1. Comparability - geographical | |||
The 2011 Hungarian census was a full-scope, questionnaire based enumeration ensuring EU level geographical comparability of the data. |
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16.2. Comparability - over time | |||
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17.1. Coherence - cross domain | |||
Figures provided by the National Statistical Institutes in the framework of the 2011 Population and Housing Census may differ from those transmitted in other statistical domains due to the cross domain differences in definitions and methodologies used. For additional information please see metadata specific to each domain. |
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17.2. Coherence - internal | |||
Internal coherence is assured by regulations defining breakdowns and definitions of topics (Regulation (EC) No 1201/2009, Regulation (EU) No 519/2010, Regulation (EU) No 1151/2010) |
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Reducing the burden of respondents:
Reducing costs:
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19.1. Data revision - policy | |||
19.2. Data revision - practice | |||
No revision. |
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20.1. Source data | |||
20.1.1. List of data sources | |||
20.1.1.1. List of data sources - data on persons | |||
Questionnaire-based full scope enumeration (traditional census) |
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20.1.1.2. List of data sources - data on households | |||
Questionnaire-based full scope enumeration (traditional census) |
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20.1.1.3. List of data sources - data on family nuclei | |||
Questionnaire-based full scope enumeration (traditional census) |
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20.1.1.4. List of data sources - data on conventional dwellings | |||
Questionnaire-based full scope enumeration (traditional census) |
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20.1.1.5. List of data sources - data on living quarters | |||
Questionnaire-based full scope enumeration (traditional census) |
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20.1.2. Classification of data sources | |||
20.1.2.1. Classification of data sources - data on persons | |||
01.Conventional censuses | |||
20.1.2.2. Classification of data sources - data on households | |||
01.Conventional censuses | |||
20.1.2.3. Classification of data sources - data on family nuclei | |||
01.Conventional censuses | |||
20.1.2.4. Classification of data sources - data on conventional dwellings | |||
01.Conventional censuses | |||
20.1.2.5. Classification of data sources - data on living quarters | |||
01.Conventional censuses | |||
20.2. Frequency of data collection | |||
Data on population and housing censuses are collected every decade, in a reference year that falls during the beginning of every decade |
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20.3. Data collection | |||
Three test censuses had been carried out in the years preceding the census (2008, 2009, 2010). Various data collection techniques had been tested together in each, including internet data collection. Census was based on the Address register of HCSO. For privacy reasons, the name of the person was not present on the questionnaire. In order to ensure completeness all the addresses got unique identification codes. The 2011 census was carried out between 1 and 31 October, 2011. The reference date was 0 hour 1st October 2011. Before the census, enumerators checked the completeness of the addresses in their enumeration districts and delivered the respondent’s packages to the addresses. The package contained an information letter, the questionnaires (one dwelling questionnaire and one personal questionnaire) and instructions for completing the questionnaires. The respondents had three options to complete the questionnaires:
The data collection was executed in three different channels at the same time in the first 16 days of the enumeration, with the criteria of supplying data in one channel for one address. The census was conducted by a hierarchical organization. The representatives of the statistical office (supervisors, territorial instructors, county instructors) worked in close collaboration with the notary of the settlement as well as other responsible administrative authorities (county administrative instructor of the census delegated by the county government office and directors of secure institutions). Around 40 000 enumerators and 8000 supervisors participated in field work. The data collection process and online questionnaires were supported by the Census Data Collection Support System. Two basic units of the system were the online fill-in application and the monitoring system. The monitoring system provided up-to-date information about the progress of the internet data collection and of the whole enumeration. The system stored the data of the participants and helped the information flow among them. Beside these functions addresses could have been corrected also in the system. Before the enumeration HCSO informed the public about the census in various communication channels. Informing the public and the media was continuous during the whole enumeration process. To handle questions or problems information service was provided. Supplementary data collection was carried out from 1 to 8 November 2011 to reach still missing persons. |
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20.4. Data validation | |||
For validation available continuous statistics and other data of other statistical fields had been used after clarifying differences in definitions. The basis of checking the data was continuous population and dwelling statistics data by localities. Census data had been compared to the data of previous censuses and micro-censuses in order to verify trends. Data from various administrative registers had been also used for validation taking into account the differences in definitions. |
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20.5. Data compilation | |||
Preparation for data processing: At start paper questionnaires were prepared for data processing. Questionnaires were revised and a certain part of the textual answers were manually coded (place of residence, textual answers of religion and nationality). Data capture: Data capture was executed using OCR technology. Questionnaires were firstly reviewed then scanned. The identifiers, markers and numbers on the questionnaires were recognized. The address information was masked out during scanning. The three textual answers not previously coded (e.g. occupation) were captured fully manually. The identifier numbers on the questionnaires provided the link between the addresses and the dwelling and personal questionnaires. Correction and editing: After scanning the questionnaires had been checked and corrected by experts. At first the completeness of the enumeration districts then the validity of the codes had been checked. Next step was logical and consistence verification by more than 800 rules applied in the main census subjects: population categories, dwelling and demographic topics, household and family topics, educational attainment topics, and finally economic activity and sensitive questions. After the quality check of the transmitted data processed districts were loaded in the IT system of HCSO. The internet fill-in application contained 250 built-in checks. Further editing of electronic questionnaires were executed the same way as paper questionnaires. After loading and accepting the processed data into the system of HCSO, further corrections were carried out in the statistical office, which were only automatic corrections. Coding: The remaining textual answers were coded automatically using a G-Code application developed by the Canadian Statistical Office. Those texts which were not coded by the system were coded manually by experts of the statistical office using a coding application developed by HCSO. Record imputation: Record imputation was used in case of partially or not realized enumerations. For the first time an administrative data source was used for imputation (Population Register). Donors had been chosen from the verified dataset based on available administrative information. In case the imputation procedure did not find a suitable donor, the scope of the matching variables were decreased. Each donor was used only once. |
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20.6. Adjustment | |||
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