1.1. Contact organisation
Statistical Office of the Republic of Slovenia (SURS)
1.2. Contact organisation unit
Demography and Level of Living
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
Litostrojska 54
1000 Ljubljana
Slovenia
1.6. Contact email address
Confidential because of GDPR
1.7. Contact phone number
Confidential because of GDPR
1.8. Contact fax number
2.1. Metadata last certified
26 June 2024
2.2. Metadata last posted
26 June 2024
2.3. Metadata last update
26 June 2024
3.1. Data description
The data present the results of the 2021 EU census on population and housing, following Regulation (EC) 763/2008; Regulation (EU) 2017/543; Regulation (EU) 2017/712 and Regulation (EU) 2017/881.
Population census provides a large range of demographic data on size and structure of the permanently resident population at national and regional level. Data are provided on population and their characteristics, households, families and housing.
3.1.1. Impact of the COVID-19 pandemic on census methodology
No impact.
3.2. Classification system
The following classification systems should be used:
- Nomenclature of Territorial Units for Statistics (NUTS 2021)
- International Standard Classification of Education (ISCED-2011)
- International standard classification of occupations (ISCO-08)
- Statistical Classification of Economic Activities in the European Community (NACE Rev 2)
No deviations from ESS or international standards.
3.3. Coverage - sector
Not applicable.
3.4. Statistical concepts and definitions
The information is given separately for each census topic.
3.4.1. Statistical concepts and definitions - Usual residence
‘Usual residence’ is 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.
The following persons alone are considered to be usual residents of the geographical area in question:
(i) those who have lived in their place of usual residence for a continuous period of at least 12 months before the reference date
(ii) those who arrived in their place of usual residence during the 12 months before the reference date with the intention of staying there for at least one year
3.4.2. Statistical concepts and definitions - Sex
‘Sex’ refers to the biological and physiological characteristics that define men and women.
3.4.3. Statistical concepts and definitions - Age
The age reached in completed years at the reference date.
3.4.4. Statistical concepts and definitions - Marital status
Marital status is defined as the (legal) conjugal status of an individual in relation to the marriage laws (or customs) of the country (that is the de jure status).
A person shall be classified according to his/her most recently acquired legal marital status at the reference date.
The Family Code in force at the time of the census related to opposite-sex marriages only. The minimum age for marriage is 18 years but could be lower with permission of social work center and parents' agreement. The same code was also applicable for the divorce of marriage while legal separation is not possible in Slovenia.
Civil Union Act at the time of the census related to registered partnerships (same-sex only). The same Act also determines the termination of such partnership. Minimum age is the same as for the marriages.
Some articles of the Family Code relate to consensual unions but the registration of opposite-sex partnerships is not specified by law.
3.4.5. Statistical concepts and definitions - Family status
The family nucleus is defined in a 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.
Child (son/daughter) refers to a blood, step- or adopted son or daughter (regardless of age or marital status) who has usual residence in the household of at least one of the parents, and who has no partner or own children in the same household. Foster children are not included. A son or daughter who lives with a spouse, with a registered partner, with a partner in a consensual union, or with one or more own children, is not considered to be a child. A child who alternates between two households (for instance if his or her parents are divorced) shall consider the one where he or she spends the majority of the time as his or her household. Where an equal amount of time is spent with both parents the household shall be the one where the child is found at the time on census night.
The term couple includes married couples, couples in same-sex registered partnerships, and couples who live in a consensual union.
Two persons are considered to be partners in a 'consensual union' when they
- belong to the same household, and
- have a marriage-like relationship with each other, and
- are not married to or in a registered partnership with each other.
3.4.6. Statistical concepts and definitions - Household status
Private households are identified using the ‘housekeeping concept’ in Slovenia.
According to the housekeeping concept, a private household is either: (a) a one-person household, that is a person who lives alone in a separate housing unit or who occupies, as a lodger, a separate room (or rooms) of a housing unit but does not join with any of the other occupants of the housing unit to form part of a multiperson household as defined below; or (b) a multiperson household, that is a group of two or more persons who combine to occupy the whole or part of a housing unit and to provide themselves with food and possibly other essentials for living. Members of the group may pool their incomes to a greater or lesser extent.
Data on household status were derived from Household Register kept by the Ministry of Interior on the basis of relation to the reference person of household and with use of Central population Register data on relations between parents and children and relations between spouses based on PINs. Data on relation to the reference person of the household were collected by the administrative bodies at the time of registration of permanent residence using similar concept as it is used in statistical surveys.
Homeless population (3.060 or 0.15%) may include both, primary and secondary homeless, and the two groups cannot be distinguished from the data sources available. Primary homeless persons are registered at local centers for social work or at municipality headquarters, and are given a special indicator in the Central population register. Some of these persons could be considered secondary homeless. Homeless persons are not considered as private households.
3.4.7. Statistical concepts and definitions - Current activity status
‘Current activity status’ is the current relationship of a person to economic activity, based on a reference period defined in data sources on activity.
As register-based data were used for the compiling data on current activity status the one hour time criterion was not applied. Most data sources (for 91% of population aged 15+) used refer to the Census reference date. Most others to the academic year in which the census took place (8% of population aged 15+).
The definition of 'unemployed' is comparable as the same criteria are used in the administrative source:
An unemployed person is a job-seeker who:
- Does not have a regular job or is not self-employed, is not owner or co-owner of an operating enterprise, and is not owner or user of property which could provide a living;
- Is capable of and willing to work and is prepared to accept a job suitable to the professional attainment or working skills acquired through work and is registered as a job-seeker with the Employment Service of Slovenia.
3.4.8. Statistical concepts and definitions - Occupation
Occupation refers to the type of work done in a job. ‘Type of work’ is described by the main tasks and duties of the work.
Persons are classified according to the occupation they had during their most recent employment. The categories included in the breakdown 'occupation' correspond to the major groups of the ISCO-08 (COM) classification.
Persons under the age of 15 years, as well as persons aged 15 or over that were:
- not economically active during the reference week, or
- unemployed, never worked before (i.e. they have never been employed in their lives)
are classified under 'not applicable'.
The allocation of a person within the breakdowns of the topics 'Occupation', 'Industry' and 'Status in employment' is based on the same job.
3.4.9. Statistical concepts and definitions - Industry
Industry (branch of economic activity) refers to the kind of production or activity of the establishment or similar unit in which the job of an employed person is located.
Persons doing more than one job shall be allocated an industry (branch of economic activity) based on their main job, which is to be identified according to the time spent on the job.
The breakdown by industry is available for persons aged 15 or over that were employed on Census reference date.
Persons are classified according to the industry they worked in during their most recent employment. The categories included in the breakdown 'industry' list the 21 sections of the NACE Rev. 2 classification and appropriate aggregates.
3.4.10. Statistical concepts and definitions - Status in employment
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. An ‘employer’ is a person who, working on his or her own account or with a small number of partners, holds a ‘self- employment’ job and, in this capacity, on a continuous basis (including the reference week) has engaged one or more persons to work for him/her as ‘employees’.
3.4.11. Statistical concepts and definitions - Place of work
The location of the place of work is the geographical area in which a currently employed person does his/her job.
The place of work of those mostly working at home is the same as their usual residence. The term ‘working’ refers to work done as an ‘employed person’ as defined under the topic ‘Current activity status’. ‘Mostly’ working at home means that the person spends all or most of the time working at home, and less, or no, time in a place of work other than at home.
Information on persons who do not have a fixed place of work but who report to a fixed address at the beginning of their work period (for example bus drivers, airline crew, operators of street market stalls that are not removed at the end of the workday) refer to that address. This group may also include individuals who travel to work, on a regular basis, across the border to a neighbouring country. Breakdown ‘No fixed place of work (inside or outside the Member State)’ includes all persons without fixed place of work but will also refer to persons such as sailors, fishermen and offshore workers for whom it may not be possible to allocate the place of work.
The place of work was not indicated as home due to the COVID -19 pandemic.
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. All education which is relevant to the completion of a level is taken into account even if this was provided outside schools and universities.
3.4.13. Statistical concepts and definitions - Size of the locality
A locality is defined as a distinct population cluster that is an area defined by population living in neighboring or contiguous buildings.
Such buildings may be either:
(a) form a continuous built-up area with a clearly recognizable street formation; or
(b) though not part of such a built-up area, comprise a group of buildings to which a locally recognized place name is uniquely attached; or
(c) though not meeting either of the above two criteria, constitute a group of buildings, none of which is separated from its nearest neighbor by more than 200 meters.
Locality is a group of buildings composing a settled territorial unit with a common name, its own system of building numbers and covers the area of one or more statistical districts.
3.4.14. Statistical concepts and definitions - Place of birth
Information on the ‘Place of birth’ is collected according to the place of usual residence of the mother at the time of the birth, or, if not available, the place in which the birth took place, on the basis of international boundaries existing on 1 January 2021.
For reporting countries that are EU Member States, the sub-category under the category 'other EU Member State' that refers to their Member State does not apply. For reporting countries that are not EU Member States, the category 'Other EU Member State' shall be read as 'EU Member State'.
The category 'Information not classifiable according to current borders' covers those persons whose country of birth existed at the time of the birth, but no longer exists at the time of the census, and who cannot be allocated uniquely to one country existing at the time of the census, i.e. according to current borders.
The category 'outside any country' covers persons for whom the usual residence of the mother at the time of the birth is not known and who where born outside the borders of any country, for example at sea or in the air.
3.4.15. Statistical concepts and definitions - Country of citizenship
Citizenship is defined as the particular legal bond between an individual and his/her State, acquired by birth or naturalization, whether by declaration, option, marriage or other means according to the national legislation. A person with two or more citizenships is allocated to only one country of citizenship, to be determined in the following order of precedence:
- reporting country
- if the person does not have the citizenship of the reporting country: other EU Member State
- if the person does not have the citizenship of another EU Member State: other country outside the European Union.
'EU Member State' means a country that is a member of the European Union on 1 January 2021. The list of countries in the breakdown 'Country of citizenship' shall only apply for statistical purposes.
For reporting countries that are EU Member States, the sub-category of the category 'citizenship not of reporting country, but other EU Member State' that refers to their Member State does not apply. For reporting countries that are not EU Member States, the category 'citizenship not of reporting country, but other EU Member State' shall be changed to 'citizenship of an EU member State'.
Persons who are neither citizens of any country nor stateless and who have some but not all of the rights and duties associated with citizenship shall be classified under 'recognised non-citizens'.
3.4.16. Statistical concepts and definitions - Year of arrival in the country
The year of arrival is the calendar year in which a person most recently established usual residence in the country.
The data for 2021 refer to the time span between 1 January 2021 and the reference date.
3.4.17. Statistical concepts and definitions - Residence one year before
The relationship between the current place of usual residence and the place of usual residence one year prior to the census.
For all persons that have changed their usual residence more than once within the year prior to the reference date, the previous place of usual residence is the last usual residence from which they moved to their current place of usual residence.
3.4.18. Statistical concepts and definitions - Housing arrangements
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.
'Other housing units' are huts, cabins, shacks, shanties, caravans, houseboats, barns, mills, caves or any other shelter used for human habitation at the time of the census, irrespective if it was designed for human habitation.
'Collective living quarters' are premises which are designed for habitation by large groups of individuals or several households and which are used as the usual residence of at least one person at the time of the census.
'Occupied conventional dwellings', 'other housing units' and 'collective living quarters' together represent ‘living quarters'. Any 'living quarter' must be the usual residence of at least one person.
The sum of occupied conventional dwellings and other housing units represents 'housing units'.
The homeless (persons who are not usual residents in any living quarter category, in total 3,060) can be persons living in the streets without a shelter that would fall within the scope of living quarters (primary homelessness) or persons moving frequently between temporary accommodation (secondary homelessness).
3.4.19. Statistical concepts and definitions - Type of family nucleus
The family nucleus is defined in a 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.
Child (son/daughter) refers to a blood, step- or adopted son or daughter (regardless of age or marital status) who has usual residence in the household of at least one of the parents, and who has no partner or own children in the same household. Foster children are not included. A son or daughter who lives with a spouse, with a registered partner, with a partner in a consensual union, or with one or more own children, is not considered to be a child. A child who alternates between two households (for instance if his or her parents are divorced) shall consider the one where he or she spends the majority of the time as his or her household. Where an equal amount of time is spent with both parents the household shall be the one where the child is found at the time on census night.
The term couple shall include married couples, couples in registered partnerships, and couples who live in a consensual union.
Registered partnerships are reported only by countries that have a legal framework regulating partnerships that:
(a) lead to legal conjugal obligations between two persons;
(b) are not marriages;
(c) prevent persons to commit themselves into multiple partnerships with different partners.
Two persons are considered to be partners in a 'consensual union' when they
- belong to the same household, and
- have a marriage-like relationship with each other, and
- are not married to or in a registered partnership with each other.
'Skip-generation households' (households consisting of a grandparent or grandparents and one or more grandchildren, but no parent of those grandchildren) are not included in the definition of a family.
3.4.20. Statistical concepts and definitions - Size of family nucleus
The family nucleus is defined in a 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.
3.4.21. Statistical concepts and definitions - Type of private household
Private households are identified using the ‘housekeeping concept’ in Slovenia.
According to the housekeeping concept, a private household is either: (a) a one-person household, that is a person who lives alone in a separate housing unit or who occupies, as a lodger, a separate room (or rooms) of a housing unit but does not join with any of the other occupants of the housing unit to form part of a multiperson household as defined below; or (b) a multiperson household, that is a group of two or more persons who combine to occupy the whole or part of a housing unit and to provide themselves with food and possibly other essentials for living. Members of the group may pool their incomes to a greater or lesser extent.
Data on household status were derived from Household Register kept by the Ministry of Interior on the basis of relation to the reference person of household and with use of Central population Register data on relations between parents and children and relations between spouses based on PINs. Data on relation to the reference person of the household were collected by the administrative bodies at the time of registration of permanent residence using similar concept as it is used in statistical surveys.
Homeless population (3.060 or 0.15%) may include both, primary and secondary homeless, and the two groups cannot be distinguished from the data sources available. Primary homeless persons are registered at local centers for social work or at municipality headquarters, and are given a special indicator in the Central population register. Some of these persons could be considered secondary homeless. Homeless persons are not considered as private households.
3.4.22. Statistical concepts and definitions - Size of private household
Private households are identified using the ‘housekeeping concept’ in Slovenia.
According to the housekeeping concept, a private household is either: (a) a one-person household, that is a person who lives alone in a separate housing unit or who occupies, as a lodger, a separate room (or rooms) of a housing unit but does not join with any of the other occupants of the housing unit to form part of a multiperson household as defined below; or (b) a multiperson household, that is a group of two or more persons who combine to occupy the whole or part of a housing unit and to provide themselves with food and possibly other essentials for living. Members of the group may pool their incomes to a greater or lesser extent.
Data on household status were derived from Household Register kept by the Ministry of Interior on the basis of relation to the reference person of household and with use of Central population Register data on relations between parents and children and relations between spouses based on PINs. Data on relation to the reference person of the household were collected by the administrative bodies at the time of registration of permanent residence using similar concept as it is used in statistical surveys.
Homeless population (3.060 or 0.15%) may include both, primary and secondary homeless, and the two groups cannot be distinguished from the data sources available. Primary homeless persons are registered at local centers for social work or at municipality headquarters, and are given a special indicator in the Central population register. Some of these persons could be considered secondary homeless. Homeless persons are not considered as private households.
3.4.23. Statistical concepts and definitions - Tenure status of households
The topic 'Tenure status of households' refers to the arrangements under which a private household occupies all or part of a housing unit.
'Type of ownership' refers to the ownership of the dwelling and not to that of the land on which the dwelling stands. It shows the tenure arrangements under which the dwelling is occupied.
'Owner-occupied dwellings' are those where at least one occupant of the dwelling owns parts or the whole of the dwelling.
'Rented dwellings' are those where at least one occupant pays a rent for the occupation of the dwelling, and where no occupant owns parts or the whole of the dwelling.
Dwellings with other type of ownership (users) are dwellings in which none of the residents is the owner, but the dwelling is not rented. In these cases, the owners may be relatives, friends or others. Also a deceased relative can be an owner, where hereditary procedures and entries in administrative evidences are not finished yet.
3.4.24. Statistical concepts and definitions - Type of living quarter
A living quarter is housing which is the usual residence of one or more persons.
'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.
'Separate' means surrounded by walls and covered by a roof or ceiling so that one or more persons can isolate themselves. 'Independent' means having direct access from a street or a staircase, passage, gallery or grounds.
'Other housing units' are huts, cabins, shacks, shanties, caravans, houseboats, barns, mills, caves or any other shelter used for human habitation at the time of the census, irrespective if it was designed for human habitation.
'Collective living quarters' are premises which are designed for habitation by large groups of individuals or several households and which are used as the usual residence of at least one person at the time of the census.
'Occupied conventional dwellings', 'other housing units' and 'collective living quarters' together represent‘living quarters'. Any 'living quarter' must be the usual residence of at least one person.
3.4.25. Statistical concepts and definitions - Occupancy status
‘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.
3.4.26. Statistical concepts and definitions - Type of ownership
'Type of ownership' refers to the ownership of the dwelling and not to that of the land on which the dwelling stands. It shows the tenure arrangements under which the dwelling is occupied.
'Owner-occupied dwellings' are those where at least one occupant of the dwelling owns parts or the whole of the dwelling.
'Rented dwellings' are those where at least one occupant pays a rent for the occupation of the dwelling, and where no occupant owns parts or the whole of the dwelling.
Dwellings with other type of ownership (users) are dwellings in which none of the residents is the owner, but the dwelling is not rented. In these cases, the owners may be relatives, friends or others. Also a deceased relative can be an owner, where hereditary procedures and entries in administrative evidences are not finished yet.
3.4.27. Statistical concepts and definitions - Number of occupants
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 space
Useful 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'.
3.4.29. Statistical concepts and definitions - Number of rooms
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 meters at least) and at least 2 meters high over the major area of the ceiling.
This concept is not used in Slovenia.
3.4.30. Statistical concepts and definitions - Density standard (floor space)
The topic ‘Density standard (floor space)’ relates the useful floor space in square meters to the number of occupants, as specified under the topic ‘Number of occupants’.
3.4.31. Statistical concepts and definitions - Density standard (number of rooms)
The topic ‘Density standard (number of rooms)’ relates the useful floor space to the number of occupants, as specified under the topic ‘Number of occupants’.
This concept is not used in Slovenia.
3.4.32. Statistical concepts and definitions - Water supply system
Whether the conventional dwelling is equipped with piped water.
3.4.33. Statistical concepts and definitions - Toilet facilities
Whether the conventional dwelling is equipped with toilet facilities.
3.4.34. Statistical concepts and definitions - Bathing facilities
Whether the conventional dwelling is equipped with bathing facilities.
3.4.35. Statistical concepts and definitions - Type of heating
Conventional dwelling 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 conventional dwelling, established for heating purposes, without regard to the source of energy.
3.4.36. Statistical concepts and definitions - Type of building
The 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 construction
The topic ‘Dwellings by period of construction’ refers to the year when the building in which the dwelling is placed was completed.
3.5. Statistical unit
The EU programme for the 2021 population and housing censuses includes data on persons, private households, family nuclei, conventional dwellings and living quarters.
3.6. Statistical population
The persons enumerated in the 2021 census are those who were usually resident in the territory of the reporting country at the census reference date.
3.7. Reference area
Data are available at different levels of geographical detail in EU countries: national, NUTS2/NUTS3 regions and local administrative units (LAU), grids.
3.8. Coverage - Time
Data refer to the situation in the reporting country at the census reference date: 1 January 2021.
3.9. Base period
Not applicable.
Counts of statistical units should be expressed in numbers and where is needed rate per inhabitants enumerated in the country.
See the following sub-concepts.
5.1. EU census reference date
1 January 2021
5.2. National census reference date
1 January 2021
5.3. Differences between reference dates of national and EU census publications
No differences.
6.1. Institutional Mandate - legal acts and other agreements
Annual Programme of Statistical Surveys for 2021 (valid from 1 January to 31 December 2021) (OJ RS, No 171/2020)
Medium-Term Programme of Statistical Surveys for 2018 - 2022 (OJ RS, No. 63/17)
6.1.1. Bodies responsible
Statistical Office of the Republic of Slovenia
6.2. Institutional Mandate - data sharing
Not available.
7.1. Confidentiality - policy
The National Statistics Act stipulates within fundamental principles of national statistics in Article 2 that “national statistics shall be implemented on the principles of … confidentiality …”. The principle is concretised in further provisions of the Act, while for explanation one can turn to some international documents.
In communicating data to users, the principle of statistical confidentiality shall be respected. The principle of statistical confidentiality means that no data may be communicated to users outside the system of national statistics, which can be ascribed to a particular observation unit or which could indirectly enable this.
7.2. Confidentiality - data treatment
A cell is confidential if information in this cell is too detailed (opinion of methodologists is that this information could lead to disclosure). In general, higher number of explanatory variables and higher number of categories increase the probability of disclosure.
Data on persons (hypercubes 1-32) contain confidential and non-confidential cells. Non-confidential cells contain original values. For confidential cells, targeted record swapping (TRS) and cell key method (CKM) are used. Consequently, these hypercubes are non-additive and inconsistencies are possible, which leads to low risk of residual disclosure.
Data on households, families, dwellings and living quarters (hypercubes 33-41) are not considered too detailed, therefore they contain original values (no SDC methods are used).
8.1. Release calendar
Census results are published under topics Population, Families and Households, and Level of Living (for dwellings), rather than under a special Census topic. This because most data, traditionally available only from the census, are actually available annually as a part of regular statistical production.
Population, Slovenia, 1 January 2021 published on 29 April 2021
Households and families, Slovenia, 1st January 2021 published on 25 November 2021
Socioeconomic characteristics of population, Slovenia, 1 January 2021 published on 17 December 2021
Dwellings, 1 January 2021 published on 22 June 2022
8.2. Release calendar access
8.3. Release policy - user access
In line with the Community legal framework and the European Statistics Code of Practice Eurostat disseminates European statistics on its website respecting professional independence and in an objective, professional and transparent manner in which all users are treated equitably.
The main dissemination channel for the 2021 Register-besed Census data is SiStat Data Portal where data are available free of charge without any registration needed.
For general public aggregated data could be prepared on request under terms decribed on our web-site.
For scentific purposes the access to microdata is possible. The outputs are protected under the same condition as it is determined for the regular statistical dissemination of census data.
Metadata are available.
Classifications used could be found on our website.
Decennial
See the following sub-concepts.
10.1. Dissemination format - News release
Population, Slovenia, 1 January 2021
Households and families, Slovenia, 1 January 2021
Socioeconomic characteristics of population, Slovenia, 1 January 2021
10.2. Dissemination format - Publications
Not available.
10.3. Dissemination format - online database
10.4. Dissemination format - microdata access
Microdata access for researchers.
The Statistical Office of the Republic of Slovenia (SURS) enables researchers to access data for the purpose of research, i.e. to all data collected with statistical surveys planned in the current annual programme of statistical surveys (LPSR). SURS also enables researchers to access data that researchers transmit to SURS with the purpose of linking them in a secfure environment.
The use of the data is according to the data sensitivity in the following ways:
- Access in SURS's secure room
- Remote access
- Using statistically protected microdata via Big file exchange system (SOVD)
For researcher's access to data in the secure room or via remote access, SURS prepares individual microdata databases by removing identifiers. Via Big file exchange system (SOVD), researchers receive only statistically protected microdata that are the result of some statistical surveys conducted on a small sample. SURS enables researchers to access statistically unprotected aggregated data.
In addition, SURS can also transmit to researchers a limited set of individual data that they need for conducting surveys (name and family name, residence, year of birth and sex) but only in the form of a so-called sample of persons.
Researchers can also access methodological explanations and questionnaires for individual statistical surveys conducted by SURS. Selected examples of research analyses on national statistics are available on the website.
Researchers who use data or information produced by the Statistical Office of the Republic of Slovenia in their research papers, presentations, posters and other material, please take into account that you need to acknowledge the source and follow the guidelines for correct use of the emblem.
Individual data collected by national statistics for statistical processing are strictly confidential and can be used exclusively for statistical purposes, irrespective of whether they refer to natural or legal persons. Therefore, they have to be handled very carefully and responsibly, and any enabling of access to such data to researchers must be in line with National Statistics Act.
10.5. Dissemination format - other
Data are disseminated to international organisations (Eurostat, IMF, UNECE, OECD, UNICEF) as part of regular collections and ad-hoc requests.
Internally, in addition to online database, some data are also available in the application STAGE geospatial data (NUTS levels, LAU, grid down to 100m x 100m).
10.6. Documentation on methodology
Methodological explanations - Census
Methodological explanation - Socioeconomic Characteristics of Population
Methodological explanation - Migrations
Methodological explanation - Population
10.7. Quality management - documentation
Not available.
11.1. Quality assurance
Data prepared in accordance with European Statistics Code of Practise. For more information related to quality can be found in the Quality in national statistics webpage.
Data are integrated from several continuously maintained registers/administrative databases. Quality assurance is managed for each register/datatbase and is not specific to the census. The basis of quality assurance is cooperation between SURS and entities that maintain the registers/databases. SURS reports quality problems to the register/database keepers who take measures to improve the quality if possible. Agreements on cooperation are signed to formally enable SURS access to register/database data and exchange of information.
11.2. Quality management - assessment
An assessment of the register was carried out in 2016. At that time, we estimated that undercoverage of the register was approximately 0.13% and overcoverage about 0.67%. Based on that assessment, measures were taken in regular statistical production to mitigate those coverage gaps, for example by record deletions and application of signs of life methods. Additionally, an administrative change in the Central Population Register (following ammendments of the Residence Registration Act) in 2020, together with signs of life methods applied, reduced the undercoverage.
11.2.1. Coverage assessment
A. Census population
- absolute value: 2,108,977
- percentage of the estimated target population: 100%
Estimated target population
- absolute value: 2,108,977
Equals the census population plus the under-coverage minus the over-coverage;
B. Under-coverage (estimated)
- absolute value: 0
- percentage of the census population: 0%
Estimate of under-coverage as resulting from the chosen method of coverage assessment (for example census post-enumeration survey).
C. Over-coverage (estimated)
- absolute value: 0
- percentage of the census population: 0%
Estimate of over-coverage as resulting from the chosen method of coverage assessment.
Due to high-quality register-based system and approved population methodology we estimate that the over-registration is not a significant problem in terms of quality. Final data validation was done by comparing census results with other statistical surveys results.
An assessment of the register was carried out in 2016. At that time, we estimated that undercoverage of the register was approximately 0.13% and overcoverage about 0.67%. Based on that assessment, measures were taken in regular statistical production to mitigate those coverage gaps, for example by record deletions and application of signs of life methods. Additionally, an administrative change in the Central Population Register (following ammendments of the Residence Registration Act) in 2020, together with signs of life methods applied, reduced the undercoverage.
11.2.2. Post-enumeration survey(s)
There was no post-enumeration survey in Slovenia conducted.
12.1. Relevance - User Needs
As our main dissemination channel are online releases, databases and other tools, available without registration, the exact user needs and types of users are difficult to assess.
The user satisfaction survey gives some insight into user needs and how they are met. Please note that census outputs are disseminated among other demography and level of living topics. Data on population are among the most frequently accessed data in our online database and geoportal. Among the most common puproses our data are used for are personal purposes, followed by business, study and research purposes.
There is no information on census-specific needs of users. In general, subject area methodologists are involved in all user queries for data not published in the form the users need, and we are able to solve the majority of them. These are mostly cases of unconventional territories or age groups or similar.
The only unmet user needs that we can identify are data that cannot be collected in a register-based census, e.g. ethnicity, religion etc.
12.2. Relevance - User Satisfaction
The user satisfaction survey is carried out annually and gives insight into user needs and how they are met. Please note that census outputs are disseminated among other demography and level of living topics.
SURS regularly monitors satisfaction and needs of its users via various channels, with various techniques, tools and approaches that help improve the products and services intended for users.
Monitoring user satisfaction with a survey
With an online survey, SURS measures user satisfaction, and learns about current habits and needs of its users. Together with the survey, SURS offers to a wide circle of users the possibility to express their opinions about SURS’s work and suggestions for improvement. The survey is usually conducted once a year, in November, and is available on SURS’s website.
Monitoring visits on SURS’s website and social media
SURS regularly monitors website visits, visits of some dedicated product pages as well as visits of individual releases and obtaining or searching data in the SiStat Database. Using Piwik PRO tool, SURS checks which data are the most searched and most frequently used by users. It also regularly monitors responses to individual social media posts on Twitter, Facebook, Instagram and LinkedIn, via the tools for monitoring response that are integrated into these social media.
Monitoring users’ data inquiries
Users report their data inquiries to SURS daily via e-mail or telephone. Their requests are dealt with by the Information Centre, which, in cases of more demanding questions, consults SURS’s employees involved in specific statistical surveys. SURS monitors the number of requests and the frequency of inquiries by areas and data. One can also notice other difficulties experienced by users, e.g. problems with access to data, incomprehensible data interpretation, etc.
Monitoring researchers’ inquiries for microdata SURS monitors access to microdata for research purposes. It publishes the list of research papers in which SURS’s microdata were used. Researchers regularly present their papers to SURS’s employees and discuss the selected topics with them.
Monitoring SURS’s appearance and its data in the media
SURS regularly monitors the appearance, response and data interpretation in the media on the basis of keywords related to SURS and statistical data. Appearance in print media, on radio and television is monitored with a daily clipping. Online appearance is monitored daily by Mediatoolkit, which enables analysis of appearance and reach. Monitoring user needs via workshops SURS prepares on demand, mostly at schools and faculties and in various state and regional institutions, workshops educating users about SURS’s data and products, and their use. Participants give their opinions, wishes and needs for data.
Usability tests
Developing or upgrading a product or a service for its website and its dedicated product pages, SURS usually conducts usability tests with which it checks the user experience regarding an individual product or functionality and seeks possibilities for improvement, e.g. to make the online application more user-friendly. Usability tests are conducted within SURS and with external providers.
Monitoring user needs via statistical advisory committees
At regular meetings of statistical advisory committees for various fields of statistics, users can give their opinions and wishes regarding the published data, new data requirements, methodological bases of statistical surveys and SURS’s activities in general.
12.3. Completeness
All statistics that are needed are available.
13.1. Accuracy - overall
There are no particular reasons for data unreliability for any topic.
13.1.1. Overall accuracy - Usual residence
Determining usual residence on the basis of registered residence
The population of Slovenia consists of all persons usually resident in Slovenia, i.e. persons, regardless of their citizenship, who intend to live in Slovenia for at least one year.
This includes the following:
- Persons who have registered permanent residence in Slovenia, excluding those who live abroad for one year or more and gave notice of their departure in the administrative unit of their permanent residence. These persons are counted as population at the address of their registered permanent residence.
- Persons who have registered temporary residence in Slovenia with the total duration of at least one year. These persons are counted as population at the address of their last registered temporary residence.
- Persons who have registered both permanent and temporary residence in Slovenia, excluding those who live abroad for one year or more and gave notice of their departure in the administrative unit of their permanent residence. These persons are usually counted as population at the address of their registered temporary address.
Third level students whose term-time address is not the one of their family home have been considered to have their usual residence at their term-time address if that is registered.
There are no particular reasons for data unreliability for this topic.
13.1.2. Overall accuracy - Sex
There are no particular reasons for data unreliability for this topic.
13.1.3. Overall accuracy - Age
There are no particular reasons for data unreliability for this topic.
13.1.4. Overall accuracy - Marital status
The Family Code in force at the time of the census related to opposite-sex marriages only. The minimum age for marriage is 18 years but could be lower with permission of social work center and parents' agreement. The same code was also applicable for the divorce of marriage while legal separation is not possible in Slovenia.
Civil Union Act at the time of the census related to registered partnerships (same-sex only). The same Act also determines the termination of such partnership. Minimum age is the same as for the marriages.
There are no particular reasons for data unreliability for this topic.
13.1.5. Overall accuracy - Family status
There are no particular reasons for data unreliability for this topic.
13.1.6. Overall accuracy - Household status
There are no particular reasons for data unreliability for this topic.
13.1.7. Overall accuracy - Current activity status
There are no particular reasons for data unreliability for this topic.
13.1.8. Overall accuracy - Occupation
There are no particular reasons for data unreliability for this topic.
13.1.9. Overall accuracy - Industry
There are no particular reasons for data unreliability for this topic.
13.1.10. Overall accuracy - Status in employment
There are no particular reasons for data unreliability for this topic.
13.1.11. Overall accuracy - Place of work
There are no particular reasons for data unreliability for this topic.
13.1.12. Overall accuracy - Educational attainment
There are no particular reasons for data unreliability for this topic.
13.1.13. Overall accuracy - Size of the locality
There are no particular reasons for data unreliability for this topic.
13.1.14. Overall accuracy - Place of birth
There are no particular reasons for data unreliability for this topic.
13.1.15. Overall accuracy - Country of citizenship
There are no particular reasons for data unreliability for this topic.
13.1.16. Overall accuracy - Year of arrival in the country
There are no particular reasons for data unreliability for this topic.
13.1.17. Overall accuracy - Residence one year before
There are no particular reasons for data unreliability for this topic.
13.1.18. Overall accuracy - Housing arrangements
There are no particular reasons for data unreliability for this topic.
13.1.19. Overall accuracy - Type of family nucleus
There are no particular reasons for data unreliability for this topic.
13.1.20. Overall accuracy - Size of family nucleus
There are no particular reasons for data unreliability for this topic.
13.1.21. Overall accuracy - Type of private household
There are no particular reasons for data unreliability for this topic.
13.1.22. Overall accuracy - Size of private household
There are no particular reasons for data unreliability for this topic.
13.1.23. Overall accuracy - Tenure status of households
There are no particular reasons for data unreliability for this topic.
13.1.24. Overall accuracy - Type of living quarter
There are no particular reasons for data unreliability for this topic.
Homeless population (3.060 or 0.15%) may include both, primary and secondary homeless, and the two groups cannot be distinguished from the data sources available. Primary homeless persons are registered at local centers for social work or at municipality headquarters, and are given a special indicator in the Central population register. Some of these persons could be considered secondary homeless. Homeless persons are not considered as private households.
13.1.25. Overall accuracy - Occupancy status
There are no particular reasons for data unreliability for this topic.
13.1.26. Overall accuracy - Type of ownership
There are no particular reasons for data unreliability for this topic.
13.1.27. Overall accuracy - Number of occupants
There are no particular reasons for data unreliability for this topic.
13.1.28. Overall accuracy - Useful floor space
There are no particular reasons for data unreliability for this topic.
13.1.29. Overall accuracy - Number of rooms
Not applicable (concept not used).
13.1.30. Overall accuracy - Density standard (floor space)
There are no particular reasons for data unreliability for this topic.
13.1.31. Overall accuracy - Density standard (number of rooms)
Not applicable (concept not used).
13.1.32. Overall accuracy - Water supply system
There are no particular reasons for data unreliability for this topic.
13.1.33. Overall accuracy - Toilet facilities
There are no particular reasons for data unreliability for this topic.
13.1.34. Overall accuracy - Bathing facilities
There are no particular reasons for data unreliability for this topic.
13.1.35. Impact of the COVID pandemic on data accuracy
The COVID pandemic had no negative impact on the accuracy of census data.
13.2. Sampling error
Not applicable for register-based census.
13.3. Non-sampling error
Not applicable for register-based census.
14.1. Timeliness
Data avialable nationally 29 April 2021 (population), 25 November 2021 (households and families), 17 December 2021 (activity status, education), 22 June 2022 (dwellings). All data were final at publication.
Data and metadata transmitted to Eurostat on 29 March 2024.
14.2. Punctuality
Data transmitted on time.
15.1. Comparability - geographical
Statistics are completely comparable between geographical areas.
15.1.1. Geographic information - data quality
Statistics are completely comparable between geographical areas.
Each person is assigned exact coordinates. Regions of the country are completely comparable.
15.2. Comparability - over time
Not applicable.
15.3. Coherence - cross domain
Figures provided by SURS in the framework of the 2021 Population and Housing Census may differ from those transmitted in other statistical domains due to the cross domain differences in definitions and methodologies used.
15.4. Coherence - internal
There are no significant inconsistencies between the hypercubes. Census outputs are internally consistent.
Internal coherence is assured by regulations defining breakdowns and definitions of topics.
The use of the same main basic source (Central Population Register) and same concepts in all demographic statistics ensures coherent data.
The 2021 Register-based Census in Slovenia was conducted without any additional budget but carried out as regular statistical survey in accordance with Mid-term and Annual Programme of Statistical Surveys with employees of the Statistical Office only and without any outsourcing.
The total estimated cost related to 2021 census was 270,000 EUR. The costs comprise of staff costs only (based on staff time-sheets). Some census-related operations were parts of other regular statistical surveys, those costs are included as well. The costs of developing the methodologies, procedures and tools in the previous iterations of the register-based census (and then reused for the 2021 round) are not included in this estimate.
For reference, the 2011 census (first one fully register-based) took about 20,000 working hours, while the 2021 census is estimated to take about 10,000 hours in total. All work was carried out by regular NSI staff.
There is no room for improvement regarding cost-efficiency. In register-based system information and communication technology is used exclusively. There is no respondent burden.
17.1. Data revision - policy
Census data are final at publication.
17.2. Data revision - practice
There are no revisions to report for the statistical process that is the subject of this report.
18.1. Source data
Data are based on administrative data.
18.1.1. List of data sources
Administrative registers managed by other state authorities
Central Population Register – Ministry of the Interior
Register of Spatial Units – Surveying and Mapping Authority of the Republic of Slovenia
Business Register of Slovenia – Agency for Public Legal Records and Related Services
Real Estate Register – Surveying and Mapping Authority of the Republic of Slovenia
Real Estate Marker Register (records of real estate transactions-rent transactions) - Surveying and Mapping Authority of the Republic of Slovenia
Statistical Register administered by the Statistical Office
Statistical Register of Employment
Regular statistical surveys conducted by the Statistical Office
Students in pre-tertiary ecudaction and those who completed education at these levels
Student enrolment in tertiary education
Tertiary education graduates
Socieoconomic characteristics of population and migrants
Births
Migration
Databases of various data managers
Unemployed persons – Employment Service of Slovenia
Graduates – National Examination Center
National examinations – National Examination Center
Recipients of pensions – Pension and Disability Insurance Institute
Insured persons – Health Insurance Institute of Slovenia
Recipients of social transfers – Ministry of Labour, Family and Social Affairs
Income tax – Tax Administration of the Republic of Slovenia
Recipients of scholarships (students) - Ministry of Labour, Family and Social Affairs
Most of these sources are not built specifically for statistical purposes. Specific procedures are needed to make sure the data collected from these sources are harmonised with concepts used in statistics.
18.1.1.1. List of data sources - Data on persons
Administrative registers managed by other state authorities
Central Population Register – Ministry of the Interior
Register of Spatial Units – Surveying and Mapping Authority of the Republic of Slovenia
Business Register of Slovenia – Agency for Public Legal Records and Related Services
Statistical Register administered by the Statistical Office
Statistical Register of Employment
Regular statistical surveys conducted by the Statistical Office
Births
Migration
Students in pre-tertiary ecudaction and those who completed education at these levels
Student enrolment in tertiary education
Tertiary education graduates
Socieoconomic characteristics of population and migrants
Databases of various data managers
Unemployed persons – Employment Service of Slovenia
Graduates – National Examination Center
National examinations – National Examination Center
Recipients of pensions – Pension and Disability Insurance Institute
Insured persons – Health Insurance Institute of Slovenia
Recipients of social transfers – Ministry of Labour, Family and Social Affairs
Income tax – Tax Administration of the Republic of Slovenia
Recipients of scholarships (students) - Ministry of Labour, Family and Social Affairs
18.1.1.2. List of data sources - Data on households
Administrative registers managed by other state authorities
Central Population Register – Ministry of the Interior
Household Register – Ministry of the Interior
18.1.1.3. List of data sources - Data on family nuclei
Administrative registers managed by other state authorities
Central Population Register – Ministry of the Interior
Household Register – Ministry of the Interior
18.1.1.4. List of data sources - Data on living quarters
Administrative registers managed by other state authorities
Real Estate Register – Surveying and Mapping Authority of the Republic of Slovenia
Register of Spatial Units – Surveying and Mapping Authority of the Republic of Slovenia
18.1.1.5. List of data sources - Data on conventional dwellings
Administrative registers managed by other state authorities
Real Estate Register – Surveying and Mapping Authority of the Republic of Slovenia
Register of Spatial Units – Surveying and Mapping Authority of the Republic of Slovenia
Real Estate Marker Register (records of real estate transactions-rent transactions) - Surveying and Mapping Authority of the Republic of Slovenia
18.1.2. Classification of data sources
Classification of the data sources as requested by Reg. 2017/881, Annex point 2.1.
18.1.2.1. Classification of data sources - Data on persons
02.Register-based censuses18.1.2.2. Classification of data sources - Data on households
02.Register-based censuses18.1.2.3. Classification of data sources - Data on family nuclei
02.Register-based censuses18.1.2.4. Classification of data sources - Data on living quarters
02.Register-based censuses18.1.2.5. Classification of data sources - Data on conventional dwellings
02.Register-based censuses18.1.3. List of data sources per topic
Usual residence
Central Population Register – Ministry of the Interior
Register of Spatial Units – Surveying and Mapping Authority of the Republic of Slovenia
Sex, age, marital status, size of locality, country of citizenship
Central Population Register – Ministry of the Interior
Place of birth, year of arrival in the country, residence one year before
Central Population Register – Ministry of the Interior
Migration - SURS
Current activity status
Statistical Register of Employment - SURS
Students in pre-tertiary ecudaction and those who completed education at these levels- SURS
Student enrolment in tertiary education- SURS
Unemployed persons – Employment Service of Slovenia
National examinations – National Examination Center
Recipients of pensions – Pension and Disability Insurance Institute
Insured persons – Health Insurance Institute of Slovenia
Recipients of social transfers – Ministry of Labour, Family and Social Affairs
Income tax – Tax Administration of the Republic of Slovenia
Recipients of scholarships (students) - Ministry of Labour, Family and Social Affairs
Occupation, industry, status in eployment, place of work
Statistical Register of Employment - SURS
Educational attainment
Students who completed education pre-tertiary ecudaction - SURS
Student enrolment in tertiary education - SURS
Tertiary education graduates - SURS
Socieoconomic characteristics of population and migrants - SURS
Statistical Register of Employment - SURS
Unemployed persons – Employment Service of Slovenia
Graduates – National Examination Center
National examinations – National Examination Center
Recipients of scholarships (students) - Ministry of Labour, Family and Social Affairs
Housing arrangements
Real Estate Register – Surveying and Mapping Authority of the Republic of Slovenia
Register of Spatial Units – Surveying and Mapping Authority of the Republic of Slovenia
Type of family nucleus, Size of family nucleus, Type of private household, Size of of private household, household status, family status
Central Population Register – Ministry of the Interior
Household register – Ministry of the Interior
Tenure status of household, Type of living quarter, Occupancy status, Type of ownership, Number of occupants, Useful floor space, Density standard (floor space), Water supply system, Toilet facilities, Bathing facilities, Type of heating, Type of building, Period of construction
Real Estate Register – Surveying and Mapping Authority of the Republic of Slovenia
Register of Spatial Units – Surveying and Mapping Authority of the Republic of Slovenia
Real Estate Marker Register (records of real estate transactions-rent transactions) - Surveying and Mapping Authority of the Republic of Slovenia
18.1.4. Adequacy of data sources
Data sources meet the essential features fully.
18.1.4.1. Adequacy of data sources - Individual enumeration
The Central Register of the Population Act stipulates the way in which each person is assigned a unique identifier that is used across domains in all areas of life. SURS receives data based from all data sources based on this identifier, which enables us reliable data linking. Dwelling have similarly assigned identifiers.
As indivuduals are grouped into households and familes, each of these units is assigned an identifier, used only for this interation of the census.
18.1.4.2. Adequacy of data sources - Simultaneity
All information refers to the same point in time (reference date 1 January 2021).
18.1.4.3. Adequacy of data sources - Universality within the defined territory
Data are provided for all statistical units in a defined territory (for persons in particular, data are provided for all usual residents in a defined territory).
18.1.4.4. Adequacy of data sources - Availability of small-area data
Data are available for small geographical areas and for small subgroups of statistical units. Each person, family, household, and dwelling is geocoded at coordinate level.
18.1.4.5. Adequacy of data sources - Defined periodicity
Census is conducted multi-annually (2011, 2015, 2018, 2021), ensuring the decennial census to coincide with the census year fixed by Eurostat.
18.2. Frequency of data collection
Census is conducted multi-annually (2011, 2015, 2018, 2021), ensuring the decennial census to coincide with the census year fixed by Eurostat.
18.3. Data collection
Register-based data.
18.3.1. Data collection - Questionnaire based data
Not applicable.
18.3.2. Data collection - Register based data
The 2021 register-based census in Slovenia was conducted by direct linking of data from 21 administrative and statistical sources. Three administrative registers form the framework of the register-based system (Central Population Register, Household Register and Real Estate Register).
The Central Population Register was established in 1981 by the Statistical Office. The register has been kept by the Ministry of the Interior since 1998. It is a very stable source with improving content (for example PINs of parents/spouses were introduced in mid-2000's). For statistical production, data are extracted three months after the reference date (data as of 1 January extracted in the beginning of April) for coverage and quality reasons. There are no multiple registrations as PINs are checked centrally. The registration of all vital and migration events is obligatory.
The most important advantage of the Household Register is the availability of data on relation to the reference person of the household. The household register was a part of the Central Population Register until the 2021 census reference date, after which it was discontinued. This means that significant adjustments in the statistical procedure will have to be made to produce data on families and households in the future.
The Real Estate Register was established in 2007 on the basis of the field census of buildings and dwellings carried out by Surveying and Mapping Authority of the Republic of Slovenia. Data from the Real Estate Register were extracted twice for the 2021 census: 3 months after the reference date and 12 months after the reference date for coverage and quality reasons.
Since the last decennial census, the Central Register of Participants in Education (kept by the Ministry of Education) has been established as a source for the statistical survey 'Students in pre-tertiary ecudaction and those who completed education at these levels'. The results of this survey are an important additional input for the census.
Data on persons were linked directly by using PIN as key identifier in all databases. The household identifier in the Household Register is the serial number of the household running from 1 to NNN at the same address.
Most of definitions used in administrative source is the same or similar as statistical ones or administrative concepts have been easily converted into statistical ones.
18.3.3. Data collection - Sample survey based data
Not applicable.
18.3.4. Data collection - Data from combined methods
Not applicable.
18.4. Data validation
A very complex and comprehensive statistical process has been established also taking into account quality requirements. Three basic principles for data validation were foreseen from the beginning of the census operations: gradual data processing as not all data sources are available at the same time, so the integration of the input data had to be adapted to timeliness of the sources; traceability and repeatability. In other words, all the changes in the data performed during the statistical process must be transparently and clearly recorded. For each record, for which any data is changed in the particular part of the process, a new version of the record is created and inserted into the database. Each table with the data in the database has a copy-table which contains the so-called status of the variable. This status contains information about the data collection method and the information whether the data were corrected through the statistical process or not.
18.5. Data compilation
The main steps of data compilation were:
- Input database loading – data from 21 different sources stored in almost 30 databases were prepared (most of them as txt files and copied to the database using Oracle SQL Loader, some of them already existed in Oracle database)
- Data integration - Three main Oracle tables (Buildings, Dwellings, Population) and auxiliary Population Household table were set up. Besides that, metadata tables for every basic table were formed. The most comprehensive process here is the intersection of population, household and dwelling data and transfer of data between tables. All data in individual data files had to be verified in advance and be formally correct using the census classifications and codebooks. The first and the most demanding part of the data integration were establishing links between Oracle tables and connectivity for further processing. Due to missing information on household and/or dwelling numbers we needed to develop a series of algorithms, which were included in the integration process in order to come to a solution for density of population or households and dwellings. Population stock had been determined in advance according to the regular statistical procedures on quarterly population statistics – independent statistical process already existed in the Statistical Office to produce data on persons as an input file to the census from Central Population Register. As a consequence there was no more record deletion or record imputation for population in later stages.
- Data corrections phase – for data on household structure (relation to the reference person) corrections were automated using generic metadata driven application already existed in the Statistical Office. In case of missing data on PINs of parents and/or spouses (mostly for foreigners), corrections of very few strictly approved variables were made through an interface for manual corrections. This interface included some additional data to assist decision-making. All corrections were logically checked, and only after that, families within each household were generated automatically by using PINs of parents/spouses, and by using matrixes of relations between household members. After this phase, all derived variables were calculated.
- Missing data imputations – the logical imputations based on the rules derived from other already known values of connected topics were mostly used. As only for small parts of the target population data after logical imputations were not available the decision was made for almost complete data imputation using donor-based imputation methods (the only exceptions were data on occupation, industry and place of work).
18.6. Adjustment
Population stock is determined in advance according to the regular statistical procedures on quarterly population statistics. This is an independent statistical process already in place in the Statistical Office to produce data on persons and also used as an input file to the census from Central Population Register. Therefore there was are no record deletion or record imputation for population in the census stage.
In the framework of quarterly population statistic, some signs of life measures are implemented after usual residence criteria are applied to Central Population Register data.
- for persons whose temporary absence from the country has expired (and had previously excluded from usually resident population on the basis of this temporary absence of 12+months), data sources on activity status are checked and only persons with some signs of activity are actually included in the population stock;
- for persons aged 107+ who otherwise meet usual residence criteria, signs of life are checked (data sources on activity status) and if not found, these persons are excluded from the population stock;
- persons for whom we received information that they had died abroad (feasibility study carried out in 2016) are excluded from the population stock even if they initially meet usual residence criteria.
National methodological explanations:
Please see the Annex for further census metadata.
The data present the results of the 2021 EU census on population and housing, following Regulation (EC) 763/2008; Regulation (EU) 2017/543; Regulation (EU) 2017/712 and Regulation (EU) 2017/881.
Population census provides a large range of demographic data on size and structure of the permanently resident population at national and regional level. Data are provided on population and their characteristics, households, families and housing.
26 June 2024
The information is given separately for each census topic.
The EU programme for the 2021 population and housing censuses includes data on persons, private households, family nuclei, conventional dwellings and living quarters.
The persons enumerated in the 2021 census are those who were usually resident in the territory of the reporting country at the census reference date.
Data are available at different levels of geographical detail in EU countries: national, NUTS2/NUTS3 regions and local administrative units (LAU), grids.
See the following sub-concepts.
There are no particular reasons for data unreliability for any topic.
Counts of statistical units should be expressed in numbers and where is needed rate per inhabitants enumerated in the country.
The main steps of data compilation were:
- Input database loading – data from 21 different sources stored in almost 30 databases were prepared (most of them as txt files and copied to the database using Oracle SQL Loader, some of them already existed in Oracle database)
- Data integration - Three main Oracle tables (Buildings, Dwellings, Population) and auxiliary Population Household table were set up. Besides that, metadata tables for every basic table were formed. The most comprehensive process here is the intersection of population, household and dwelling data and transfer of data between tables. All data in individual data files had to be verified in advance and be formally correct using the census classifications and codebooks. The first and the most demanding part of the data integration were establishing links between Oracle tables and connectivity for further processing. Due to missing information on household and/or dwelling numbers we needed to develop a series of algorithms, which were included in the integration process in order to come to a solution for density of population or households and dwellings. Population stock had been determined in advance according to the regular statistical procedures on quarterly population statistics – independent statistical process already existed in the Statistical Office to produce data on persons as an input file to the census from Central Population Register. As a consequence there was no more record deletion or record imputation for population in later stages.
- Data corrections phase – for data on household structure (relation to the reference person) corrections were automated using generic metadata driven application already existed in the Statistical Office. In case of missing data on PINs of parents and/or spouses (mostly for foreigners), corrections of very few strictly approved variables were made through an interface for manual corrections. This interface included some additional data to assist decision-making. All corrections were logically checked, and only after that, families within each household were generated automatically by using PINs of parents/spouses, and by using matrixes of relations between household members. After this phase, all derived variables were calculated.
- Missing data imputations – the logical imputations based on the rules derived from other already known values of connected topics were mostly used. As only for small parts of the target population data after logical imputations were not available the decision was made for almost complete data imputation using donor-based imputation methods (the only exceptions were data on occupation, industry and place of work).
Data are based on administrative data.
Decennial
Data avialable nationally 29 April 2021 (population), 25 November 2021 (households and families), 17 December 2021 (activity status, education), 22 June 2022 (dwellings). All data were final at publication.
Data and metadata transmitted to Eurostat on 29 March 2024.
Statistics are completely comparable between geographical areas.
Not applicable.
