1.1. Contact organisation
Statistics Finland
1.2. Contact organisation unit
Social statistics
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
00022 Statistics Finland
Finland
1.6. Contact email address
Confidential because of GDPR
1.7. Contact phone number
Confidential because of GDPR
1.8. Contact fax number
Confidential because of GDPR
2.1. Metadata last certified
4 March 2024
2.2. Metadata last posted
4 March 2024
2.3. Metadata last update
14 October 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.
3.1.1. Impact of the COVID-19 pandemic on census methodology
In Finland, the COVID-19 pandemic had no effect on the census, as the census is based on administrative registers.
3.2. Classification system
The following classification systems are used:
1. Nomenclature of Territorial Units for Statistics (NUTS 2021)
2. International Standard Classification of Education (ISCED-2011)
3. International standard classification of occupations (ISCO-08)
4. Statistical Classification of Economic Activities in the European Community (NACE Rev 2)
3.3. Coverage - sector
Not applicable.
3.4. Statistical concepts and definitions
The information is given separately for each census topic. See the sub-concepts 3.4.1 - 3.4.37.
3.4.1. Statistical concepts and definitions - Usual residence
In Finland, the usual resident population bases on information on place of permantent residence in the Population Information System maintained by the Digital and Population Data Services Agency. Permanent residence is measured by the stay or intention to stay in the country lasting at least 12 months. Persons permanently in Finland equal the persons with registered place of domicile in the country (home municipality).
3.4.2. Statistical concepts and definitions - Sex
‘Sex’ refers to the biological and physiological characteristics that define men and women. Information about a person's sex is based on the sex registered in the Population Information System at the reference time.
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 is classified according to his/her most recently acquired legal marital status at the reference date.
In Finland, the current divorce regulations no longer recognise the concept of legal separation. Those persons who are legally separated on the basis of the old divorce provisions prior to 1 January 1988 and still living apart have been slotted under married persons in the statistics.
The possibility to register partnerships started in Finland on 1 March 2002 and ended on the last day of February 2017 (Act to amend the Act of Registered Partnerships 250/2016). Starting from the beginning of March 2017, same-sex couples have been able to enter into marriage (156/2015). Same-sex couples had been able to register their partnership in Finland as of 1 March 2002. The amendment to the Marriage Act that entered into force on 1 March 2017 didn't change the classification of marital status.
Marriage is only possible between persons of legal age, i.e. persons over 18 years of age.
3.4.5. Statistical concepts and definitions - Family status
A family consists of a married or cohabiting couple or persons in a registered partnership and their children living together; or either of the parents and his or her children living together; or a married or cohabiting couple and persons in a registered partnership without children. The family nucleus is defined in a narrow sense meaning that family concept limits relationships between children and adults to direct (first-degree) relationships, that is, between parents and children.
3.4.6. Statistical concepts and definitions - Household status
Private households are identified using the ‘household- dwelling concept’. Persons who are institutionalised, homeless or are registered as unknown, do not constitute household-dwelling units. Additionally, persons living in buildings classified as residential homes do not form household-dwelling units if their living quarters do not meet the definition of a dwelling.
Homeless population and persons living in the institutions whose living quarters do not meet the definition of a dwelling unit are classified in the category “Persons not living in a private household”.
The household-dwelling concept considers all persons living in a housing unit to be members of the same household, such that there is one household per occupied housing unit.
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 of the last seven days prior to enumeration. The employed labour force can include people aged 18-74. Information about employment is based on employment pension insurance, the minimum age of which is 18 years. Information about unemployed job seekers, on the other hand, is obtained from the Ministry of Labor and Economy, and people aged 16-64 can register as unemployed. Therefore, the labor force consists of people over 15 years old, although 16-17-year-olds cannot be employed based on the register data.
3.4.8. Statistical concepts and definitions - Occupation
In Finland, occupation is defined only for a employed labour force. The employed labour force can include people aged 18-74. Occupational titles can be found for some persons from several data sources. Data on occupations and employment relationships are primarily taken from the same register but this cannot always be available. Then the person's occupation and main employment relationship with its industry selected can describe a different employment relationship.
3.4.9. Statistical concepts and definitions - Industry
Industry (branch of economic activity) refers to the kind of production or activity of the establishment in which the job of an employed person is located. Information about the industry is based on the person's employment relationship and employer at the reference time, on the basis of which industry is extracted from Statistics Finland's business register. Industry have been defined only for a employed labour force. The employed labour force can include people aged 18-74.
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
Status in employment describes the position of the employed on the labour market. The employed labour force can include people aged 18-74. The data on status in employment are based on the person's pension insurance and amounts of wage and salary and entrepreneurial income.
The status is classified as follows:
- employee
- entrepreneurs
Entrepreneurs include both employers and own-account workers.
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.
In the register-based employment statistics, it is not possible to distinguish between work done at fixed workplaces, work of mobile nature or working abroad. Instead, all persons are allocated to some establishment regardless of the nature of the work. If exact information about the location of the workplace is missing, the persons are placed in the workplace from which the work is managed or in the municipality where they live. For the majority of self-employed the location of their workplace is the same as the municipality where they live.
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. Persons with an education below ISCED level 3 are all classified in the category ISCED level 2. There is under-coverage in terms of qualifications completed abroad in the Register of Completed Education and Degrees. The educational structure of the population with a foreign background cannot be reported reliably on the basis of the register.
3.4.13. Statistical concepts and definitions - Size of the locality
A locality is a cluster of buildings with at least 200 inhabitants. The delimitation is based on the population information of the previous year. Urban settlements are defined and delimited by the Finnish Environment Institute using geographic information methods that utilise the building and population data of Statistics Finland’s 250 m x 250 m grid data. The population size of grids containing buildings and their neighbouring grids, as well as the number of buildings and their floor area, are reviewed in the definition. From the uniform clusters of dwellings generated in the definition, the ones with at least 200 inhabitants are selected. Administrative regional divisions do not affect the formation of urban settlements, and urban settlements do not follow municipal boundaries.
3.4.14. Statistical concepts and definitions - Place of birth
The population information system, on which the person's demographic information is obtained for the census, contains information about the person's country of birth, which is determined based on the mother's permanent home country at the time of birth. This means, for example, that e.g. for those born in the former Soviet Union, Yugoslavia, etc., the country of birth is that country. The country of birth of those born in the ceded areas of Finland is also Finland, even though the area is no longer Finnish territory. The country of birth is reported according to the form of government at the time of birth.
Here, people born in countries that no longer exist are classified as "Other".
3.4.15. Statistical concepts and definitions - Country of citizenship
Persons with both Finnish and foreign citizenship will be entered in the statistics as Finnish nationals. If a foreign national living in Finland has several nationalities, that person will be entered in the register and statistics as a national of the country on whose passport he or she arrived in the country.
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.
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) 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
A family consists of a married or cohabiting couple or persons in a registered partnership and their children living together; or either of the parents and his or her children living together; or a married or cohabiting couple and persons in a registered partnership without children. The family nucleus is defined in a narrow sense meaning that 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) is classified in the household where she has her permanent place of residence.
The term couple include married couples, couples in registered partnerships, and couples who live in a consensual union.
Cohabiting partners without common children are programmatically defined as persons living in the same apartment who do not have a spouse, are at least 18 years old and are of the opposite sex, provided that they are not siblings and their age difference is no more than 15 years.
'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
A family consists of a married or cohabiting couple or persons in a registered partnership and their children living together; or either of the parents and his or her children living together; or a married or cohabiting couple and persons in a registered partnership without children. The family nucleus is defined in a narrow sense meaning that 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
Households are identified using the ‘household-dwelling concept’. Persons who are institutionalised, homeless or are registered as unknown, do not constitute household-dwelling units. Additionally, persons living in buildings classified as residential homes do not form household-dwelling units if their living quarters do not meet the definition of a dwelling.
Households are classified into different categories according to what is the most determining factor. Thus, "One-family households" includes households with only one family as well as households with one family and additional persons (e.g. one grandparent).
3.4.22. Statistical concepts and definitions - Size of private household
Households are identified using the ‘household-dwelling concept’. Persons who are institutionalised, homeless or are registered as unknown, do not constitute household-dwelling units. Additionally, persons living in buildings classified as residential homes do not form household-dwelling units if their living quarters do not meet the definition of a dwelling.
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.
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. 'Cooperative ownership' refers to ownership within the framework of a housing cooperative.
'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.
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.
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 number of rooms to the number of occupants, as specified under the topic ‘Number of occupants’.
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 census data covers the persons with permanent residence in Finland. Permanent residence is measured by the stay or intention to stay in the country lasting at least 12 months, based on information in the Population Information System maintained by the Digital and Population Data Services Agency.
3.7. Reference area
Data are available at different levels of geographical detail in reporting country: 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.
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.
Information is provided in the sub-concepts 5.1 - 5.3.
5.1. EU census reference date
1 January 2021
5.2. National census reference date
31 December 2020
5.3. Differences between reference dates of national and EU census publications
No differences.
6.1. Institutional Mandate - legal acts and other agreements
Statistics Act (280/2004), Regulation (EC) No 763/2008, Regulation (EU) 2017/712, Commission Implementing Regulation (EU) 2017/881
6.1.1. Bodies responsible
Statistics Finland
6.2. Institutional Mandate - data sharing
Data collected in other contexts must be primarily exploited for statistics. The vast majority of data are drawn from diverse registers. Only such data that cannot be obtained from elsewhere are collected from data suppliers. State authorities have a statutory obligation to supply data from the information in their possession. Enterprises, municipal organisations and non-profit institutions are obliged to supply data on matters separately prescribed in law.
Statistics Finland and the suppliers of data enter into an agreement with each other, agreeing on the content, schedule and delivery method of the data deliveries.
7.1. Confidentiality - policy
Confidentiality - Regulation (EU) 2017/712 Art 4 and 5
EU’s General Data Protection Regulation (GDPR) is applied to the processing of personal data. Further information can be found on the web pages of the Office of the Data Protection Ombudsman.
Basic statistical data are confidential. Permission to use data can be granted for scientific studies and statistical surveys by means of the user licence procedure. Permission to use data can be given so that data enabling direct identification of the statistical unit have been removed. Exceptions to secrecy are public data in the Business Register and public data describing the activity of central and local government authorities.
7.2. Confidentiality - data treatment
Confidentiality - Regulation (EU) 2017/712 Art 4 and 5
Masking or changing the classification is usually used as a protection method for tables. Masking includes primary masking of cells at risk of exposure and secondary masking. Secondary masking ensures that the table's row or column totals cannot be used to reveal the values of primarily masked cells.
By changing the classification in the table, the aim is to eliminate the cells that are at risk of being exposed by combining the classes that contain them with other classes in the table. Changing the classification often means, in practice, coarsening the entire classification.
Changing the values of cells at risk of exposure can also be used as a protection method for tables. Such methods include, for example, rounding and replacing the original cell value with an approximate random number.
The data in CensusHub is protected using the CellKey method.
Statistics Finland may release or grant permission to use confidential data collected for statistical purposes for scientific research and statistical surveys on social conditions. Data may not be used in an investigation, surveillance, legal proceedings, administrative decision-making or other similar handling of a matter concerning an individual, enterprise, corporation or foundation. The research use of Statistics Finland’s unitlevel data files requires a user licence, which must be valid throughout the processing of the data files. Only the person who has been granted a user licence is permitted to use the data files subject to licence and the data files can only be used for the purpose accepted in the decision granting the user licence. A user licence is granted for a fixed period (at most for five years at a time). Statistics Finland may release or grant permission to use confidential data collected for statistical purposes from which the possibility of direct identification of a statistical unit (person, enterprise) has been removed. More information.
8.1. Release calendar
At the national level, Finland does not produce a population census. For international purposes, the information is produced from the statistics of different subject areas, e.g. population statistics, employment statistics, etc. The publication dates of these statistics were announced in advance in the release calendar. The release calendar contains information only about future publications.
Already published publications.
8.2. Release calendar access
Already published publications.
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.
According to the principles, statistical information is published simultaneously to all users. Publication dates and times are announced in advance in the release calendar. Metadata, quality reports and instructions related to the statistic are available on the statistic's home page in the statistics producer's online service. Statistics Finland publishes new statistical data as releases, reviews and database releases on weekdays at 8 am. View the latest statistical releases or browse the dates of future releases in the release calendar.
Decennial.
At the national level, data is available annually.
Information is provided in the sub-concepts 10.1 - 10.7.
10.1. Dissemination format - News release
Press release(s) concerning the 2021 census, as part of the requirements of Regulation 2017/881, Annex point 3.4.
In addition to statistical releases, Statistics Finland offers a variety of free and chargeable products and services, such as various databases, training, research data and guidance. Statistics Finland's key statistical database is the StatFin database.
The following releases have been made regarding information related to the 2020/2021 census:
31 March 2021 Foreign-language speakers helped maintain population increase.
20 May 2021 Over half a million persons aged 30 to 64 are living alone.
27 May 2021 Kuopio is still the municipality with the highest number of free-time residences in Finland.
28 May 2021 Every seventh person aged 30 to 34 is of foreign background.
28 May 2021 Fall in the number of families has halted.
14 October 2021 Three out of five persons aged under 40 live in rented dwellings.
3 November 2021 Share of population with educational qualifications has multiplied in 50 years.
16 December 2021 Number of employed persons fell most among young students in 2020.
10 March 2022 Long-term unemployment grew in the corona year 2020.
19 May 2022 Number of jobs fell in relative terms most in accommodation and food service activities in the first corona year 2020.
11 October 2022 Shop sales assistants, health care assistants and nurses most common occupations in 2020.
10.2. Dissemination format - Publications
Publications concerning the 2021 census, as part of the requirements of Regulation 2017/881, Annex point 3.4.
The following releases have been made regarding information related to the 2020/2021 census:
31 March 2021 Foreign-language speakers helped maintain population increase.
20 May 2021 Over half a million persons aged 30 to 64 are living alone.
27 May 2021 Kuopio is still the municipality with the highest number of free-time residences in Finland.
28 May 2021 Every seventh person aged 30 to 34 is of foreign background.
28 May 2021 Fall in the number of families has halted.
14 October 2021 Three out of five persons aged under 40 live in rented dwellings.
3 November 2021 Share of population with educational qualifications has multiplied in 50 years.
16 December 2021 Number of employed persons fell most among young students in 2020.
10 March 2022 Long-term unemployment grew in the corona year 2020.
19 May 2022 Number of jobs fell in relative terms most in accommodation and food service activities in the first corona year 2020.
11 October 2022 Shop sales assistants, health care assistants and nurses most common occupations in 2020.
10.3. Dissemination format - online database
On-line database on the 2021 census, as part of the requirements of Reg. 2017/881, Annex point 3.4.
Data related to the 2020/2021 census has been published in the StatFin database that is Statistics Finland's key statistical database. Data can be find under the following subject areas: Buildings and free-time residences, Dwellings and housing conditions, Educational structure of population, Employment and Population structure.
10.4. Dissemination format - microdata access
Census data should be accessible as microdata, as part of the requirements of Regulation 2017/881, Annex point 3.4.
Statistics Finland may release or grant permission to use confidential data collected for statistical purposes for scientific research and statistical surveys on social conditions. Data may not be used in an investigation, surveillance, legal proceedings, administrative decision-making or other similar handling of a matter concerning an individual, enterprise, corporation or foundation. The research use of Statistics Finland’s unitlevel data files requires a user licence, which must be valid throughout the processing of the data files. Only the person who has been granted a user licence is permitted to use the data files subject to licence and the data files can only be used for the purpose accepted in the decision granting the user licence. A user licence is granted for a fixed period (at most for five years at a time). Statistics Finland may release or grant permission to use confidential data collected for statistical purposes from which the possibility of direct identification of a statistical unit (person, enterprise) has been removed. More information.
10.5. Dissemination format - other
In addition to statistical releases, Statistics Finland offers a variety of free and chargeable products and services, such as various databases, training, research data and guidance. In Statistics Finland's statistical database you can find versatile statistical data in table format. Free-of-charge, open data services and chargeable databases with longer time series and more detailed data are available. See more: Statistical databases.
Census data is also disseminated by UN Statistics Division: UNSD — Demographic and Social Statistics
10.6. Documentation on methodology
The quality report is published simultaneously with the data of the statistics so that the user of the statistics can easily access it. The quality report is published on the web pages of the producer of Official Statistics of Finland and its web address must be given in all publication formats of the statistics. The quality report can also be published as part of a printed statistical publication.
The quality report always relates to statistical data released at a certain point in time. The different versions of the quality report will be retained.
The quality reports related to census data are as follows:
Buildings and free-time residences
Dwellings and housing conditions
Educational structure of population
10.7. Quality management - documentation
Quality management: Quality management | Statistics Finland
11.1. Quality assurance
The quality management framework of the field of statistics is the European Statistics Code of Practice (CoP). The quality criteria of Official Statistics of Finland are also compatible with the European Statistics Code of Practice.
Further information: Quality management | Statistics Finland (stat.fi)
11.2. Quality management - assessment
The quality of the data is assessed in several different stages of the statistical process. Consistency analyzes are done annually by comparing statistical data, e.g. to the previous year's data, other similar data (other data sources) and other changes in the operating environment (e.g. changes in legislation).
11.2.1. Coverage assessment
The population census covers all persons permanently living in Finland. All population data is collected from the Population Information System, which is maintained by the Digital and Population Data Services Agency. The system is mainly maintained by notifications of population changes from the authorities, who are obliged by law to notify vital events in time. The quality of the register has been tested to be high and the register is constantly used in the information services and administration of the entire Finnish society.
Residence is granted to all Finnish citizens living in Finland. A person immigrating to Finland is granted a place of domicile if the requirements stated in the Home Municipality Act are met. The definition of permanent residence in the Act is near to the usual residence definition. In the case of persons with temporary residence permits, the Act leaves some room for interpretations on how to measure the intention to stay in Finland. This can cause delay in statistics and thereby a gap between the national definition and the usual residence definition.
Also late/non-emigration can cause a gap between the national and usual residence definition. The emigrants who do not leave a notification of emigration remain in the population data as overcoverage. The overcoverage can be examined with register data. The persons of whom there are no signs of economic activities in other registers, can be removed from the population data at Statistics Finland. In 2020, altogether 9,545 persons were removed from the population with a municipality of residence when compiling the official population. The number is lower than in the previous years due to a correction made to the household-dwelling population by the Digital and Population Data Services Agency in May 2020. The removed persons are mainly foreign citizens whose address was unknown and who have not received earned income, capital income, entrepreneurial income, unemployment benefit, pension income, income support or compensation from sickness insurance between 2018 and 2019. They do not have earned income recordings in the Incomes Register for 2020 either.
Based on sources outside the Population Information System, it is possible to estimate the over- and under-coverage of published population figures. For census 2021, over-coverage has been estimated to be 20,257 persons and under-coverage to be 14,000 persons. Estimates of over- and under-coverage can only be reported as whole numbers by sex. In total, the difference between the statistical population and the population according to the concept of usual residence was 0.1%.
11.2.2. Post-enumeration survey(s)
Not applicaple.
12.1. Relevance - User Needs
A separate user study for census data has not been conducted. However, census data is addressed and available to both national as international policy makers, researchers, the media and the general public.
12.2. Relevance - User Satisfaction
A separate user study for census data has not been conducted. Instead, Statistics Finland has been conducting customer satisfaction surveys since the late 1990s. According to a customer survey conducted in the fall of 2023, Statistics Finland's data is considered unbiased and reliable. They are also considered to describe phenomena important to the respondents. Statistics Finland's employees are also valued and considered very cooperative. All in all, Statistics Finland's operation received a school grade of 8.6 on a scale of 4-10 from the respondents. To date, this is the highest estimate received by Statistics Finland from a similar survey conducted every two years.
12.3. Completeness
The data has been produced in accordance with the requirements of Regulation 763/2008. A few variables have deviations from the given definitions, they are mentioned for each variable in section 3.4.
13.1. Accuracy - overall
Administrative registers and other register-based data are mainly used as source data for the census statistics. Thus, the quality of the statistics is directly dependent on the quality of the source data. Direct data collection takes place only in the definition of establishment data for those employed by multi-establishment enterprises and in the definition of occupation for unorganised enterprises.
In Finland, the reliability of register-based data was studied even before the decision was made about the transition to a register-based population census system. In the 1980 and 1985 census data describing the population's economic activity and employment were still collected with questionnaires, but register-based data were also available at the same time. In the 1980 census a comparative survey was made for 20 municipalities and in the 1985 census for all municipalities. The survey compared register-based data on the population's main type of activity and status in occupation with data collected with questionnaires. The differences in data produced on the basis of registers and questionnaires were found to be so small that the decision to move to register-based statistics production could be made.
An extensive reliability study was conducted in 1990 in connection with the first entirely register-based population census. The register statistics were compared with the data provided by the sample-based questionnaire inquiry. The sample comprised around two per cent of buildings, dwellings and persons. The reliability study showed how large a share of the questionnaire data and register data differed from each other but not ultimately which data were correct. For example, a person with several jobs reported a different job as the main job in the questionnaire inquiry than the one inferred from the register. A working student was inevitably defined as employed based on register data even if he/she had not reported his/her job. Studies have shown that the difference between register-based and questionnaire-based data is not greater than the difference between two questionnaire-based data. Comparative studies have been published in Statistics Finland's series.
The use of the Labour Force Survey as comparison data has become the most important quality control method for the register-based employment statistics. The reliability studies of the 1995 and 2000 censuses were also based on the use of the Labour Force Survey as comparison data.
The use of the Labour Force Survey as comparison data works on two levels. On the one hand, the aim is to monitor the level of the results produced by these two methods and on the other hand, how well the methods produce data classified in the same manner at unit level. Unit-level comparisons are made by cross-tabulating register-based and interview-based data on main type of activity and industry from the same time for persons in the sample data of the Labour Force Survey. Comparisons have been made since 1987.
The deviations can often be explained by differences between the register system and the interview method, and it cannot always be unambiguously said which method produces the right result, that is, even the data obtained with the interviews are not necessarily absolutely correct. Often in reality the person or the interviewer has to make a decision based on conflicting information, while an unequivocal rule has been compiled in the register method. The advantage of the register method is then its logicality: the machine always makes the decision in the same way, but persons with the same information can end up with different results.
13.1.1. Overall accuracy - Usual residence
To obtain a personal identity code, a person has to be registered in the Population Information System. It is practically impossible to reside permanently in Finland for a long time without a personal identity code. A personal identity code is needed in order to work legally, open a bank account, attend to matters with authorities, and so on.
Since the discontinuation of yearly checking of domicile registers in 1989, the Population Information System has been maintained only by notifications of changes to population information. Their correctness is determined by a reliability survey made of the addresses in the Population Information System.
The Digital and Population Data Services Agency has requested Statistics Finland to carry out sample surveys on the correctness of address data. Around 10,000 persons are asked whether their address in the Population Information System is correct. In the 2012 survey, the address was correct for 98.9 per cent of the respondents. The non-response of this survey was 16.9 per cent. Attempts were made to check the addresses for the persons in the non-response from other sources. The address could be ascertained as correct for 92.3 per cent and as incorrect for 5.9 per cent of the persons included in the non-response. The address of 1.8 per cent of the persons in the non-response could not be checked. Under the assumption that all the unchecked data for the persons in the non-response were incorrect, the final proportion of correct addresses would be 98.1 per cent.
In May 2020, the Digital and Population Data Services Agency changed the municipality of residence into unknown for around 10,000 persons. These were persons whose location had been unspecified for at least two years and who have had no known place of residence since 1 January 2017.
When compiling the official population, Statistics Finland has made removals to the population with a municipality of residence from the data of the Population Information System since 2010. In 2020, altogether 9,545 persons were removed from the population with a municipality of residence when compiling the official population. The number is lower than in the previous years due to a correction made to the household-dwelling population by the Digital and Population Data Services Agency in May 2020. The removed persons are mainly foreign citizens whose address was unknown and who have not received earned income, capital income, entrepreneurial income, unemployment benefit, pension income, income support or compensation from sickness insurance between 2018 and 2019. They do not have earned income recordings in the Incomes Register for 2020 either.
13.1.2. Overall accuracy - Sex
Information on a person's sex obtained from the Population Information System is very accurate.
13.1.3. Overall accuracy - Age
Information on a person's age obtained from the Population Information System is very accurate.
13.1.4. Overall accuracy - Marital status
Information on a marital status is obtained from the Population Information System. Overall, the accuracy is very high, but with regard to the foreign-born population, there is under-coverage. In 2020 the Population Information System included 81,600 persons without data on marital status. They are immigrants whose marital status could not be ascertained. The Population Information Act requires storing of data on marital status in the Population Information System only as concerns Finnish citizens. In the statistics childless persons were coded as unmarried and if they had children, their absent marital status was changed into divorced.
13.1.5. Overall accuracy - Family status
Statistics Finland identifies families based on the data in the Population Information System. In addition to a personal identity code, each person has a place of residence code that indicates which dwelling the person lives in and the information on relationships between persons living in one dwelling. Since the source data in the Population Information System are of very high quality, also data on families, family status and family type can be considered very accurate.
13.1.6. Overall accuracy - Household status
In Finland, households are identified using the ‘household- dwelling concept’. They are identified based on the data from the Population Information System of the the Digital and Population Data Services Agency.. In addition to a personal identity code, each person has a place of residence code that indicates which dwelling the person lives in and the information on relationships between persons living in one dwelling. Since the source data in the Population Information System are of very high quality, also data on households, household status and household type can be considered very accurate.
Persons who are institutionalised, homeless or are registered as unknown, do not constitute household-dwelling units. Additionally, persons living in buildings classified as residential homes do not form household-dwelling units if their living quarters do not meet the definition of a dwelling.
13.1.7. Overall accuracy - Current activity status
Data on current activity status is produced with the so-called register estimation method, where the value of class is defined for each person by utilising several register data simultaneously. In its deduction, information is needed on the person's age, employment relationships, unemployment, studying, receiving pension, and so on. The deduction rules have been formed so that they produce data as close as possible to the data collected on the basis of questionnaires. The deduction rules were formed by utilising data from previous population censuses and register data from the same period. The deduction rules also include prioritisation of different data when the data are conflicting.
The use of the Labour Force Survey as comparison data has become the most important quality control method for the register-based employment statistics. The reliability studies of the 1995 and 2000 censuses were also based on the use of the Labour Force Survey as comparison data.
The use of the Labour Force Survey as comparison data works on two levels. On the one hand, the aim is to monitor the level of the results produced by these two methods and on the other hand, how well the methods produce data classified in the same manner at unit level. Unit-level comparisons are made by cross-tabulating register-based and interview-based data on main type of activity and industry from the same time for persons in the sample data of the Labour Force Survey. Comparisons have been made since 1987. Before 1987, data on the economic activity of the population were produced in questionnaire-based population censuses (from 1950, 1960, 1970, 1975, 1980 and 1985). Differences between register-based and questionnaire-based data have proven to be so small that comparability over time can be regarded as relatively good.
13.1.8. Overall accuracy - Occupation
Data on occupation are produced primarily for wage and salary earners and entrepreneurs aged 18 to 74 based on the person's main employment relationship one week prior the reference date. The occupational code is primarily formed for the person based on the occupational title, industry data, education and sector. Some of the data on the occupations of wage and salary earners (employer organisations) are obtained as ready codes from the statistics on wages and salaries.
Because several occupational titles can be found for some persons from several sources, it is important to combine the occupation data with the main employment relationship. Data on occupations and employment relationships are primarily taken from the same register but this cannot always be done. Then the person's occupation and main employment relationship with its industries selected in the employment statistics can describe a different employment relationship.
About 77 percent of data on occupation is obtained from employment registers or occupation inquirie. For the rest of the employed, the information has been deduced based on data e.g. the industry of the workplace, the person's education, previous occupational information and income. For entrepreneurs, professional information is deduced according to the company's industry. For about 4 percent of the employed persons, occupation cannot be determined.
13.1.9. Overall accuracy - Industry
Data on industry is obtained from Statistics Finland's business register based on the person's employment information. The person's employment has been combined with enterprise and establishment IDs at different stages of the statistical process, e.g. checking and correcting of establishment codes, mechanical enterprise and entrepreneurial linking, manual enterprise linking, mechanical establishment linking, run of checking programs and manual correcting of data.
The Standard Industrial Classification has changed in 1993, 2001 and 2007. The changes in the classifications have an effect on the comparability of earlier years, because it is not possible to build complete conversion keys between all classifications.
13.1.10. Overall accuracy - Status in employment
Data on status in employment is defined in the same process as person's current activity status. So these information are produced with the so-called register estimation method, where the value of class is defined for each person by utilising several register data simultaneously. In its deduction, information is needed on the person's age, employment relationships, unemployment, studying, receiving pension, and so on. The deduction rules have been formed so that they produce data as close as possible to the data collected on the basis of questionnaires. The deduction rules were formed by utilising data from previous population censuses and register data from the same period. The deduction rules also include prioritisation of different data when the data are conflicting.
In 2010 to 2011, the number of entrepreneurs rose by 9,600 in the whole country. The rise was affected by the widening of the definition of an entrepreneur in the Self-employed Persons’ and Farmers' Pensions Act from the beginning of 2011. An entrepreneur is a person working in a limited company or in another community in a leading position who alone owns more than 30 per cent of the shares in the enterprise or who alone holds more than 30 per cent of the votes produced by the shares or who has equivalent control in another community. Previously the limit was 50 per cent.
Entrepreneurs cannot be divided into employer and own account workers, but all entrepreneurs are classified in the same category.
13.1.11. Overall accuracy - Place of work
Data on place of work is obtained from Statistics Finland's business register based on the person's employment information. The person's employment has been combined with enterprise and establishment IDs at different stages of the statistical process, e.g. checking and correcting of establishment codes, mechanical enterprise and entrepreneurial linking, manual enterprise linking, mechanical establishment linking, run of checking programs and manual correcting of data.
Inadequacies in the initial data can affect the information on person's place of work. For example, the workplace of persons employed by multi-location enterprises are, in the absence of more detailed information, attached to the municipality of residence or at the head quarter of the enterprise.
13.1.12. Overall accuracy - Educational attainment
In terms of qualifications completed abroad, the Register of Completed Education and Degrees has been supplemented with data collection targeted at foreign population, which added 26,000 post-primary education qualifications to the register. The Register of Completed Education and Degrees has also been supplemented with an exchange of information carried out between the Nordic statistical agencies. The Nordic exchange of information yielded 13,000 qualifications to the register.
There is still under-coverage in terms of qualifications completed abroad in the Register of Completed Education and Degrees. The educational structure of the population with a foreign background cannot be reported reliably on the basis of the register.
13.1.13. Overall accuracy - Size of the locality
In Finland, localities are defined as areas with at least 200 inhabitants and the distance between buildings is less than 200 meters. The definition of localities is therefore based on the information on the place of residence of the population and lacation of buildings in the Population Information System. Since the data in question is very accurate, also the information on the boundaries of the localities and thus the size category of the localities can be considered very accurate.
13.1.14. Overall accuracy - Place of birth
Information about a person's country of birth is obtained from the Population Information System, where most of the information is based on the statutory reporting obligations of various authorities. Information is widely used in society for various administrative purposes, so for each individual, its up-to-dateness and correctness are important. Thus, also the data on place of birth can be considered very accurate.
13.1.15. Overall accuracy - Country of citizenship
Information about a person's citizenship is obtained from the Population Information System, where most of the information is based on the statutory reporting obligations of various authorities. Information is widely used in society for various administrative purposes, so for each individual, its up-to-dateness and correctness are important. Thus, also the data on citizenship can be considered very accurate.
13.1.16. Overall accuracy - Year of arrival in the country
Information about a person's year of arrival in the country is based on the information in the Population Information System, where most of the information is obtained from statutory notifications from various authorities. Information is widely used in society for various administrative purposes, so for each individual, its up-to-dateness and correctness are important. Thus, also the data on place of birth can be considered very accurate.
13.1.17. Overall accuracy - Residence one year before
Information about a person's residence one year before has been defined based on the previous year's statistics. Information about the population and its place of residence is obtained from the Population Information System, which is very high-quality and accurate in this respect.
13.1.18. Overall accuracy - Housing arrangements
The data on dwellings and housing conditions are based on register data. Thus, the quality of the data is fairly directly dependent on the quality of the source data. The data are primarily based on the Population Information System maintained by the Digital and Population Data Services Agency.
The data on the number of household-dwelling units and other individual-based data are nearly 100 per cent accurate. The accuracy of the data is indicated by the address reliability study (persons’ place of residence). The study was a sample survey and it was carried out by Statistics Finland in 2012. According to that survey, the address of 98.1 per cent of the respondents was accurate, non-responses included.
The statistics describe the dwelling stock in active use. The coverage of the key data on dwellings is fairly good. It is sometimes difficult to infer whether the dwellings of unoccupied detached buildings still belong to the dwelling stock and when they are removed from there as unfit for habitation. This is why detached buildings which have not been occupied for more than 15 years are removed from the statistics. If permanent residents nevertheless move into such a building removed from the dwelling stock, the dwelling is returned to the dwelling stock.
The statistical population of household-dwelling units is made up of persons residing in normal dwellings. Persons who according to the Digital and Population Data Services Agency’s Population Information System are institutionalised, or are homeless, or are abroad, or are registered as unknown, are not included in what is referred to as the dwelling population. Nor do persons living in buildings classified as residential homes or as residential dwellings for special groups form household-dwelling units if their living quarters do not meet the definition of a dwelling unit.
Persons are linked to dwelling data with the help of unique identifiers and dwellings with permanent occupants are inferred from the personal data in the Population Information System. Households are identified using the household dwelling concept. After defining, the information and characteristics about the dwelling and the building can be combined for all households and their members.
13.1.19. Overall accuracy - Type of family nucleus
The data on families are based on register data. Thus, the quality of the data is fairly directly dependent on the quality of the source data. The data are primarily based on the Population Information System maintained by the Digital and Population Data Services Agency.
The data on the number of families and other individual-based data are nearly 100 per cent accurate. The accuracy of the data is indicated by the address reliability study (persons’ place of residence). The study was a sample survey and it was carried out by Statistics Finland. In 2012, approximately 11,000 individuals were inquired whether their address is the same as that in the Population Information System. In the 2012 survey, the address of 98.1 per cent of the respondents was accurate, non-responses included. Following the discontinuation of census registration (as of 1989), the Digital and Population Data Services Agency’s population data have been maintained solely on the basis of reports on vital events.
Persons are linked to dwelling data with the help of unique identifiers and dwellings with permanent occupants are inferred from the personal data in the Population Information System. Families are identified within one household based on relationships between household members. After defining, the information and characteristics about the dwelling and the building can be combined for all famlies and their members.
13.1.20. Overall accuracy - Size of family nucleus
The data on families are based on register data. Thus, the quality of the data is fairly directly dependent on the quality of the source data. The data are primarily based on the Population Information System maintained by the Digital and Population Data Services Agency.
The data on the number of families and other individual-based data are nearly 100 per cent accurate. The accuracy of the data is indicated by the address reliability study (persons’ place of residence). The study was a sample survey and it was carried out by Statistics Finland. In 2012, approximately 11,000 individuals were inquired whether their address is the same as that in the Population Information System. In the 2012 survey, the address of 98.1 per cent of the respondents was accurate, non-responses included. Following the discontinuation of census registration (as of 1989), the Digital and Population Data Services Agency’s population data have been maintained solely on the basis of reports on vital events.
Persons are linked to dwelling data with the help of unique identifiers and dwellings with permanent occupants are inferred from the personal data in the Population Information System. Families are identified within one household based on relationships between household members. After defining, the information and characteristics about the dwelling and the building can be combined for all famlies and their members.
13.1.21. Overall accuracy - Type of private household
The data on dwellings and housing conditions are based on register data. Thus, the quality of the data is fairly directly dependent on the quality of the source data. The data are primarily based on the Population Information System maintained by the Digital and Population Data Services Agency.
The data on the number of household-dwelling units and other individual-based data are nearly 100 per cent accurate. The accuracy of the data is indicated by the address reliability study (persons’ place of residence). The study was a sample survey and it was carried out by Statistics Finland in 2012. According to that survey, the address of 98.1 per cent of the respondents was accurate, non-responses included.
The statistics describe the dwelling stock in active use. The coverage of the key data on dwellings is fairly good. It is sometimes difficult to infer whether the dwellings of unoccupied detached buildings still belong to the dwelling stock and when they are removed from there as unfit for habitation. This is why detached buildings which have not been occupied for more than 15 years are removed from the statistics. If permanent residents nevertheless move into such a building removed from the dwelling stock, the dwelling is returned to the dwelling stock.
The statistical population of household-dwelling units is made up of persons residing in normal dwellings. Persons who according to the Digital and Population Data Services Agency’s Population Information System are institutionalised, or are homeless, or are abroad, or are registered as unknown, are not included in what is referred to as the dwelling population. Nor do persons living in buildings classified as residential homes or as residential dwellings for special groups form household-dwelling units if their living quarters do not meet the definition of a dwelling unit.
Persons are linked to dwelling data with the help of unique identifiers and dwellings with permanent occupants are inferred from the personal data in the Population Information System. Households are identified using the household dwelling concept. After defining, the information and characteristics about the dwelling and the building can be combined for all households and their members.
13.1.22. Overall accuracy - Size of private household
The data on dwellings and housing conditions are based on register data. Thus, the quality of the data is fairly directly dependent on the quality of the source data. The data are primarily based on the Population Information System maintained by the Digital and Population Data Services Agency.
The data on the number of household-dwelling units and other individual-based data are nearly 100 per cent accurate. The accuracy of the data is indicated by the address reliability study (persons’ place of residence). The study was a sample survey and it was carried out by Statistics Finland in 2012. According to that survey, the address of 98.1 per cent of the respondents was accurate, non-responses included.
The statistics describe the dwelling stock in active use. The coverage of the key data on dwellings is fairly good. It is sometimes difficult to infer whether the dwellings of unoccupied detached buildings still belong to the dwelling stock and when they are removed from there as unfit for habitation. This is why detached buildings which have not been occupied for more than 15 years are removed from the statistics. If permanent residents nevertheless move into such a building removed from the dwelling stock, the dwelling is returned to the dwelling stock.
The statistical population of household-dwelling units is made up of persons residing in normal dwellings. Persons who according to the Digital and Population Data Services Agency’s Population Information System are institutionalised, or are homeless, or are abroad, or are registered as unknown, are not included in what is referred to as the dwelling population. Nor do persons living in buildings classified as residential homes or as residential dwellings for special groups form household-dwelling units if their living quarters do not meet the definition of a dwelling unit.
13.1.23. Overall accuracy - Tenure status of households
The data on dwellings and housing conditions are based on register data. Thus, the quality of the data is fairly directly dependent on the quality of the source data. The data are primarily based on the Population Information System maintained by the Digital and Population Data Services Agency.
The data on the number of household-dwelling units and other individual-based data are nearly 100 per cent accurate. The accuracy of the data is indicated by the address reliability study (persons’ place of residence). The study was a sample survey and it was carried out by Statistics Finland in 2012. According to that survey, the address of 98.1 per cent of the respondents was accurate, non-responses included.
The statistics describe the dwelling stock in active use. The coverage of the key data on dwellings is fairly good. It is sometimes difficult to infer whether the dwellings of unoccupied detached buildings still belong to the dwelling stock and when they are removed from there as unfit for habitation. This is why detached buildings which have not been occupied for more than 15 years are removed from the statistics. If permanent residents nevertheless move into such a building removed from the dwelling stock, the dwelling is returned to the dwelling stock.
The statistical population of household-dwelling units is made up of persons residing in normal dwellings. Persons who according to the Digital and Population Data Services Agency’s Population Information System are institutionalised, or are homeless, or are abroad, or are registered as unknown, are not included in what is referred to as the dwelling population. Nor do persons living in buildings classified as residential homes or as residential dwellings for special groups form household-dwelling units if their living quarters do not meet the definition of a dwelling unit.
The production system of the statistics on buildings, dwellings and housing conditions was revised as of statistical year 2005. In this connection, the treatment of a dwelling’s tenure status accounted for the data on a building’s owner in increasing detail. The impact is visible in the figures of the tenure status data as of 2005, particularly in terms of the class of Other rental dwellings and the class of Owns the house. The size of the first-mentioned one decreased, while the size of the latter increased. The data processing was refined for rented dwellings in 2014, in particular for dwellings left unknown. The statistics’ production revision carried out in statistical reference year 2020 specified the tenure status data even further, particularly in relation to buildings owned by rental housing companies and single-family houses for rent.
13.1.24. Overall accuracy - Type of living quarter
The data on dwellings and housing conditions are based on register data. Thus, the quality of the data is fairly directly dependent on the quality of the source data. The data are primarily based on the Population Information System maintained by the Digital and Population Data Services Agency.
The data on the number of household-dwelling units and other individual-based data are nearly 100 per cent accurate. The accuracy of the data is indicated by the address reliability study (persons’ place of residence). The study was a sample survey and it was carried out by Statistics Finland in 2012. According to that survey, the address of 98.1 per cent of the respondents was accurate, non-responses included.
The statistics describe the dwelling stock in active use. The coverage of the key data on dwellings is fairly good. It is sometimes difficult to infer whether the dwellings of unoccupied detached buildings still belong to the dwelling stock and when they are removed from there as unfit for habitation. This is why detached buildings which have not been occupied for more than 15 years are removed from the statistics. If permanent residents nevertheless move into such a building removed from the dwelling stock, the dwelling is returned to the dwelling stock.
The statistical population of household-dwelling units is made up of persons residing in normal dwellings. Persons who according to the Digital and Population Data Services Agency’s Population Information System are institutionalised, or are homeless, or are abroad, or are registered as unknown, are not included in what is referred to as the dwelling population. Nor do persons living in buildings classified as residential homes or as residential dwellings for special groups form household-dwelling units if their living quarters do not meet the definition of a dwelling unit.
13.1.25. Overall accuracy - Occupancy status
The data on dwellings and housing conditions are based on register data. Thus, the quality of the data is fairly directly dependent on the quality of the source data. The data are primarily based on the Population Information System maintained by the Digital and Population Data Services Agency.
The data on the number of household-dwelling units and other individual-based data are nearly 100 per cent accurate. The accuracy of the data is indicated by the address reliability study (persons’ place of residence). The study was a sample survey and it was carried out by Statistics Finland in 2012. According to that survey, the address of 98.1 per cent of the respondents was accurate, non-responses included.
The statistics describe the dwelling stock in active use. The coverage of the key data on dwellings is fairly good. It is sometimes difficult to infer whether the dwellings of unoccupied detached buildings still belong to the dwelling stock and when they are removed from there as unfit for habitation. This is why detached buildings which have not been occupied for more than 15 years are removed from the statistics. If permanent residents nevertheless move into such a building removed from the dwelling stock, the dwelling is returned to the dwelling stock.
The statistical population of household-dwelling units is made up of persons residing in normal dwellings. Persons who according to the Digital and Population Data Services Agency’s Population Information System are institutionalised, or are homeless, or are abroad, or are registered as unknown, are not included in what is referred to as the dwelling population. Nor do persons living in buildings classified as residential homes or as residential dwellings for special groups form household-dwelling units if their living quarters do not meet the definition of a dwelling unit.
Persons are linked to dwelling data with the help of unique identifiers and dwellings with permanent occupants are inferred from the personal data in the Population Information System. Households are identified using the household dwelling concept. After defining, the information and characteristics about the dwelling and the building can be combined for all households and their members.
The dwelling stock comprises permanently occupied and temporarily occupied or unoccupied dwellings. The dwelling stock describes dwellings in active use. The dwelling stock does not include detached and semi-detached houses which have been unoccupied for a long time or have a substandard level of equipment. Nor does it include other abandoned houses.
The statistical population of household-dwelling units is made up of persons residing in normal dwellings. Persons who according to the Digital and Population Data Services Agency’s Population Information System are institutionalised, or are homeless, or are abroad, or are registered as unknown, are not included in what is referred to as the dwelling population. Nor do persons living in buildings classified as residential homes or as residential dwellings for special groups form household-dwelling units if their living quarters do not meet the definition of a dwelling unit.
The statistics describe the dwelling stock in active use. Detached houses and semi-detached houses which have been unoccupied for a long time and other abandoned houses are removed from the dwelling stock.
The coverage of the key data on dwellings is fairly good. It is sometimes difficult to infer whether the dwellings of unoccupied detached buildings still belong to the dwelling stock and when they are removed from there as unfit for habitation. This is why detached buildings which have not been occupied for more than 15 years are removed from the statistics. If permanent residents nevertheless move into such a building removed from the dwelling stock, the dwelling is returned to the dwelling stock.
13.1.26. Overall accuracy - Type of ownership
The data on dwellings and housing conditions are based on register data. Thus, the quality of the data is fairly directly dependent on the quality of the source data. The data are primarily based on the Population Information System maintained by the Digital and Population Data Services Agency.
The data on the number of household-dwelling units and other individual-based data are nearly 100 per cent accurate. The accuracy of the data is indicated by the address reliability study (persons’ place of residence). The study was a sample survey and it was carried out by Statistics Finland in 2012. According to that survey, the address of 98.1 per cent of the respondents was accurate, non-responses included.
The statistics describe the dwelling stock in active use. The coverage of the key data on dwellings is fairly good. It is sometimes difficult to infer whether the dwellings of unoccupied detached buildings still belong to the dwelling stock and when they are removed from there as unfit for habitation. This is why detached buildings which have not been occupied for more than 15 years are removed from the statistics. If permanent residents nevertheless move into such a building removed from the dwelling stock, the dwelling is returned to the dwelling stock.
The statistical population of household-dwelling units is made up of persons residing in normal dwellings. Persons who according to the Digital and Population Data Services Agency’s Population Information System are institutionalised, or are homeless, or are abroad, or are registered as unknown, are not included in what is referred to as the dwelling population. Nor do persons living in buildings classified as residential homes or as residential dwellings for special groups form household-dwelling units if their living quarters do not meet the definition of a dwelling unit.
Persons are linked to dwelling data with the help of unique identifiers and dwellings with permanent occupants are inferred from the personal data in the Population Information System. Households are identified using the household dwelling concept. After defining, the information and characteristics about the dwelling and the building can be combined for all households and their members.
13.1.27. Overall accuracy - Number of occupants
The data on dwellings and housing conditions are based on register data. Thus, the quality of the data is fairly directly dependent on the quality of the source data. The data are primarily based on the Population Information System maintained by the Digital and Population Data Services Agency.
The data on the number of household-dwelling units and other individual-based data are nearly 100 per cent accurate. The accuracy of the data is indicated by the address reliability study (persons’ place of residence). The study was a sample survey and it was carried out by Statistics Finland in 2012. According to that survey, the address of 98.1 per cent of the respondents was accurate, non-responses included.
The statistics describe the dwelling stock in active use. The coverage of the key data on dwellings is fairly good. It is sometimes difficult to infer whether the dwellings of unoccupied detached buildings still belong to the dwelling stock and when they are removed from there as unfit for habitation. This is why detached buildings which have not been occupied for more than 15 years are removed from the statistics. If permanent residents nevertheless move into such a building removed from the dwelling stock, the dwelling is returned to the dwelling stock.
The statistical population of household-dwelling units is made up of persons residing in normal dwellings. Persons who according to the Digital and Population Data Services Agency’s Population Information System are institutionalised, or are homeless, or are abroad, or are registered as unknown, are not included in what is referred to as the dwelling population. Nor do persons living in buildings classified as residential homes or as residential dwellings for special groups form household-dwelling units if their living quarters do not meet the definition of a dwelling unit.
Persons are linked to dwelling data with the help of unique identifiers and dwellings with permanent occupants are inferred from the personal data in the Population Information System. Households are identified using the household dwelling concept. After defining, the information and characteristics about the dwelling and the building can be combined for all households and their members.
The coverage of the key data on dwellings is fairly good. It is sometimes difficult to infer whether the dwellings of unoccupied detached buildings still belong to the dwelling stock and when they are removed from there as unfit for habitation. This is why detached buildings which have not been occupied for more than 15 years are removed from the statistics. If permanent residents nevertheless move into such a building removed from the dwelling stock, the dwelling is returned to the dwelling stock.
13.1.28. Overall accuracy - Useful floor space
The data on dwellings and housing conditions are based on register data. Thus, the quality of the data is fairly directly dependent on the quality of the source data. The data are primarily based on the Population Information System maintained by the Digital and Population Data Services Agency.
13.1.29. Overall accuracy - Number of rooms
Not applicaple
13.1.30. Overall accuracy - Density standard (floor space)
The data on dwellings and housing conditions are based on register data. Thus, the quality of the data is fairly directly dependent on the quality of the source data. The data are primarily based on the Population Information System maintained by the Digital and Population Data Services Agency.
13.1.31. Overall accuracy - Density standard (number of rooms)
Not applicaple
13.1.32. Overall accuracy - Water supply system
The data on dwellings and housing conditions are based on register data. Thus, the quality of the data is fairly directly dependent on the quality of the source data. The data are primarily based on the Population Information System maintained by the Digital and Population Data Services Agency.
13.1.33. Overall accuracy - Toilet facilities
The data on dwellings and housing conditions are based on register data. Thus, the quality of the data is fairly directly dependent on the quality of the source data. The data are primarily based on the Population Information System maintained by the Digital and Population Data Services Agency.
13.1.34. Overall accuracy - Bathing facilities
The data on dwellings and housing conditions are based on register data. Thus, the quality of the data is fairly directly dependent on the quality of the source data. The data are primarily based on the Population Information System maintained by the Digital and Population Data Services Agency.
13.1.35. Impact of the COVID pandemic on data accuracy
The COVID-19 pandemic had no impact on the compiling the census data or it's accuracy, as thecensus data is based on administrative data sources.
13.2. Sampling error
Not applicable for register-based and traditional censuses.
13.3. Non-sampling error
Not applicaple.
14.1. Timeliness
The first data related to the population census was published three months after the reference date (population structure) and the last data 22,5 months after the reference date (occupation).
All Census hypercubes were delivered to Eurostat in February 2024 (before the legal deadline)
Metadata was delivered in March 2024
14.2. Punctuality
Data and metadata were delivered before the legal deadline.
15.1. Comparability - geographical
The data of the census statistics can be produced with both national and European regional classifications (NUTS), given that the statistics include coordinate data for buildings and persons. The statistics are compiled primarily on the basis of concepts and definitions in line with the UN’s recommendations.
The changing regional classifications (such as changes in municipalities) affect the comparability of certain data (e.g. commuting between municipalities). Employment outside the borders of Finland may cause errors in the employment data of border municipalities.
Regarding educational data, the under-coverage is greatest in the regions with the greatest number of immigrants. Under-coverage also pertains to the regions from which individuals head abroad for studies (such as the Åland Islands).
15.1.1. Geographic information - data quality
The data of the census statistics can be produced with both national and European regional classifications (NUTS), given that the statistics include coordinate data for buildings and persons. The statistics are compiled primarily on the basis of concepts and definitions in line with the UN’s recommendations.
The changing regional classifications (such as changes in municipalities) affect the comparability of certain data (e.g. commuting between municipalities). Employment outside the borders of Finland may cause errors in the employment data of border municipalities.
Regarding educational data, the under-coverage is greatest in the regions with the greatest number of immigrants. Under-coverage also pertains to the regions from which individuals head abroad for studies (such as the Åland Islands).
15.2. Comparability - over time
Not applicable.
15.3. Coherence - cross domain
Statistics Finland’s other statistics, including all census statistics, use the data of population statistics as basic information on population. Thus, different statistics of Statistics Finland are consistent with each other as regards population data.
Statistics Finland’s statistics on the building stock and dwelling stock correspond with each other in such a way that for each dwelling in the dwelling stock (the statistics on dwellings and housing conditions), there is a corresponding building in the building stock (the statistics on buildings and free-time residences).
Data on the population's economic activity is also published by Statistics Finland's Labour Force Survey, which is a monthly sample survey. Due to the collection method and the deduction of the employed, the data differ somewhat from those of the employment statistics. For example, the number of employed persons is some percentages higher in the Labour Force Survey.
15.4. Coherence - internal
There are no differences between the hypercubes.
Cost associated with the census data collection and production of a census product and burden on respondents.
17.1. Data revision - policy
Revisions – i.e. improvements in the accuracy of statistical data already published – are a normal feature of statistical production and result in improved quality of statistics. The principle is that statistical data are based on the best available data and information concerning the statistical phenomenon. On the other hand, the revisions are communicated as transparently as possible in advance. Advance communication ensures that the users can prepare for the data revisions.
The reason why data in statistical releases become revised is often caused by the data becoming supplemented. Then the new, revised statistical figure is based on a wider information basis and describes the phenomenon more accurately than before.
Revisions of statistical data may also be caused by the calculation method used, such as annual benchmarking or updating of weight structures. Changes of base years and used classifications may also cause revisions to data.
17.2. Data revision - practice
No revisions.
18.1. Source data
Source of the population and housing census are administrative data sources, statistical registers and other statistical data. In addition to registers, some inquiries are made to collect data on place on work of persons working in multi-establishment enterprises and occupation of employed of unorganised enterprises.
Data is combined from different data sources using the unique identifiers (personal identification number, building number, dwelling number and business-id).
18.1.1. List of data sources
Administrative data sources:
- Population Information System of Digital and Population Data Services Agency: Register contains all basic information on persons, buildings and dwellings in Finland. Data on households and families are formed at Statistics Finland based data on persons and their place of residence in the Population Information System
- Used for: place of residence, sex, age, legal marital status, size of locality, country/place of birth, country of citizenship, year of arrival in the country since 2010, year of arrival in the country since 1980, place of usual residence one year prior to the census, household status, type of private households, size of private households, tenure status of households, type of family nucleus, size of family nucleus, 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, period of construction, current activity status
- Incomes register of Tax Administration: Register, where employers report employees' information about employment relationships and wages paid.H
- Used for: current activity status, occupation, industry, status in employment, place of work
- Employment register of the biggest cities (Helsinki, Espoo and Vantaa)
- Used for: current activity status, occupation, industry, status in employment, place of work
- Personal tax data of the Tax Administration: taxable persons and taxable income by type of income
- Used for: current activity status, status in employment
- Data on entrepreneur pension insured persons of Finnish Centre for Pensions: data on persons with entrepreneur pension insurance and the insured periods.
- Used for: current activity status, occupation, industry, status in employment, place of work
- The register of job seekers, labour market training and labour market services of Ministry of Economic Affairs and Employment: Data on unemployed persons, persons in labour market training and persons participating services
- Used for: current activity status
- The pension registers maintained of Social Insurance Institution of Finland and the Finnish Centre for Pensions: type of pension, period of pension
- Used for: current activity status
- Conscripts Register of the General Staff of the Armed Forces: period of conscript service
- Used for: current activity status
- Register on non-military service of Ministry of Economic Affairs and Employment: period of non-military service
- Used for: current activity status
- The Housing Finance and Development Centre of Finland: data on Housing rental stock constructed with state subsidies
- Used for completing tenure status of household
- Dwelling owner register by Tax Administration's asset transfer tax data: data on dwellings in housing companies and person who has bought a flat from it
- Used for: tenure status of household
- Tax Administration's real estate register
- Used for: completing information of buildings
Statistical registers and other statistical data:
- Statistics Finland's Register of Enterprises and Establishments and the Register of Public Corporations
- Used for: industry, place of work
- Statistics Finland’s Register of Completed Education and Degrees
- Used for: Educational attainment
- Statistics on wages and salaries
- Used for. place of work, occupation
- Student register
Used for: current activity status
In addition to registers, some questionnaire inquiries are made:
- inquiry on establishments of persons working in multi-establishment enterprises
- Used for: industry, place of work
- collection of data on occupations from unorganised enterprises
- Used for: occupation
18.1.1.1. List of data sources - Data on persons
Administrative data sources:
- Population Information System of Digital and Population Data Services Agency: Register contains all basic information on persons
- Used for:place of residence, sex, age, legal marital status, size of locality, country/place of birth, country of citizenship, year of arrival in the country since 2010, year of arrival in the country since 1980, place of usual residence one year prior to the census, current activity status
- Incomes register of Tax Administration: Register, where employers report employees' information about employment relationships and wages paid.
- Used for: current activity status, occupation, industry, status in employment, place of work
- Employment register of the biggest cities (Helsinki, Espoo and Vantaa)
- Used for: current activity status, occupation, industry, status in employment, place of work
- Personal tax data of the Tax Administration: taxable persons and taxable income by type of income
- Used for: current activity status, status in employment
- Data on entrepreneur pension insured persons of Finnish Centre for Pensions: data on persons with entrepreneur pension insurance and the insured periods.
- Used for: current activity status, occupation, industry, status in employment, place of work
- The register of job seekers, labour market training and labour market services of Ministry of Economic Affairs and Employment: Data on unemployed persons, persons in labour market training and persons participating services
- Used for: current activity status
- Data resource of the Finnish National Agency for Education
- Used for:current activity status
- The pension registers maintained of Social Insurance Institution of Finland and the Finnish Centre for Pensions: type of pension, period of pension
- Used for:current activity status
- Data on social benefits of Social Insurance Institution of Finland
- Used for:current activity status
- Conscripts Register of the General Staff of the Armed Forces: period of conscript service.
- Used for: current activity status
- Register on non-military service of Ministry of Economic Affairs and Employment: period of non-military service
- Used for: current activity status
Statistical registers and other statistical data:
- Statistics Finland's Register of Enterprises and Establishments and the Register of Public Corporations
- Used for: industry, place of work
- Used for: industry, place of work
- Statistics Finland’s Register of Completed Education and Degrees
- Used for: Educational attainment
- Statistics on wages and salaries
- Used for: place of work, occupation
- Student register
- Used for: current activity status
In addition to registers, some questionnaire inquiries are made:
- inquiry on establishments of persons working in multi-establishment enterprises
- Used for: industry, place of work
- collection of data on occupations from unorganised enterprises
- Used for: occupation
18.1.1.2. List of data sources - Data on households
Administrative data sources:
- Population Information System of Digital and Population Data Services Agency: Register contains all basic information on persons, buildings and dwellings in Finland. Data on households and families are formed at Statistics Finland based data on persons and their place of residence in the Population Information System
- Used for: type of private households, size of private households, tenure status of households
- The Housing Finance and Development Centre of Finland: data on Housing rental stock constructed with state subsidies
- Used for completing tenure status of household
- Dwelling owner register by Tax Administration's asset transfer tax data: data on dwellings in housing companies and person who has bought a flat from it.
- Used for: tenure status of household
18.1.1.3. List of data sources - Data on family nuclei
Administrative data sources:
- Population Information System of Digital and Population Data Services Agency: Register contains all basic information on persons, buildings and dwellings in Finland. Data on households and families are formed at Statistics Finland based data on persons and their place of residence in the Population Information System
- Used for: type of family nucleus, size of family nucleus
18.1.1.4. List of data sources - Data on living quarters
Administrative data sources:
- Population Information System of Digital and Population Data Services Agency: Register contains all basic information on persons, buildings and dwellings in Finland. Data on households and families are formed at Statistics Finland based data on persons and their place of residence in the Population Information System
- Used for: type of private households, size of private households, tenure status of households
- The Housing Finance and Development Centre of Finland: data on Housing rental stock constructed with state subsidies
- Used for completing tenure status of household
- Dwelling owner register by Tax Administration's asset transfer tax data: data on dwellings in housing companies and person who has bought a flat from it.
- Used for: tenure status of household
18.1.1.5. List of data sources - Data on conventional dwellings
Administrative data sources:
- Population Information System of Digital and Population Data Services Agency: Register contains all basic information on persons, buildings and dwellings in Finland. Data on households and families are formed at Statistics Finland based data on persons and their place of residence in the Population Information System
- Used for: household status, type of private households, size of private households, tenure status of households, type of family nucleus, size of family nucleus, 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, period of construction
- The Housing Finance and Development Centre of Finland: data on Housing rental stock constructed with state subsidies
- Used for completing tenure status of household
- Dwelling owner register by Tax Administration's asset transfer tax data: data on dwellings in housing companies and person who has bought a flat from it
- Used for: tenure status of household
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
Administrative data sources:
- Population Information System of Digital and Population Data Services Agency: Register contains all basic information on persons, buildings and dwellings in Finland. Data on households and families are formed at Statistics Finland based data on persons and their place of residence in the Population Information System
- Used for:place of residence, sex, age, legal marital status, size of locality, country/place of birth, country of citizenship, year of arrival in the country since 2010, year of arrival in the country since 1980, place of usual residence one year prior to the census, household status, type of private households, size of private households, tenure status of households, type of family nucleus, size of family nucleus, 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, period of construction, current activity status
- Incomes register of Tax Administration: Register, where employers report employees' information about employment relationships and wages paid.H
- Used for: current activity status, occupation, industry, status in employment, place of work
- Employment register of the biggest cities (Helsinki, Espoo and Vantaa)
- Used for: current activity status, occupation, industry, status in employment, place of work
- Personal tax data of the Tax Administration: taxable persons and taxable income by type of income
- Used for: current activity status, status in employment
- Data on entrepreneur pension insured persons of Finnish Centre for Pensions: data on persons with entrepreneur pension insurance and the insured periods.
- Used for: current activity status, occupation, industry, status in employment, place of work
The register of job seekers, labour market training and labour market services of Ministry of Economic Affairs and Employment: Data on unemployed persons, persons in labour market training and persons participating services
- Used for: current activity status
- Used for:current activity status
- Used for: current activity status
- Used for: current activity status
- The Housing Finance and Development Centre of Finland: Data on Housing rental stock constructed with state subsidies
- Used for completing tenure status of household
- Dwelling (a flat) owner register by Tax Administration's asset transfer tax data: Data on dwellings in housing companies and person who has bought a flat from it.
- Used for: tenure status of household
- Tax Administration's real estate register is used to completing information of building.
Statistical registers and other statistical data:
- Statistics Finland's Register of Enterprises and Establishments and the Register of Public Corporations
- Used for: industry, place of work
- Used for: industry, place of work
- Statistics Finland’s Register of Completed Education and Degrees
- Used for: Educational attainment
- Statistics on wages and salaries
- Used for. place of work, occupation
- Student register
- Used for: current activity status
In addition to registers, some questionnaire inquiries are made:
- inquiry on establishments of persons working in multi-establishment enterprises
- Used for: industry, place of work
- collection of data on occupations from unorganised enterprises
- Used for: occupation
18.1.4. Adequacy of data sources
The data sources used are comprehensive and timeliness in terms of statistical objects.
18.1.4.1. Adequacy of data sources - Individual enumeration
The characteristics of each statistical unit are recorded separately, so that each characteristic can be cross-classified with others.
18.1.4.2. Adequacy of data sources - Simultaneity
All information refers to the same point in time (reference date).
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.
18.1.4.5. Adequacy of data sources - Defined periodicity
Data is available annually.
18.2. Frequency of data collection
Decennial.
18.3. Data collection
In Finland, population and housing census is based on administrative data sources since 1990.
18.3.1. Data collection - Questionnaire based data
Not applicaple.
18.3.2. Data collection - Register based data
In Finland, administrative registers use the same identification number for persons, which makes it possible and easy to combine data from different registers for statistical purposes.
Statistical units such as persons, buildings, dwellings and establishments are linked together via different codes. All dwellings are linked to a building via a building code maintained by the Digital and Population Data Services Agency. The building code provides the co-ordinates for the respective unit. Persons and dwellings (buildings and map co-ordinates) are linked via building code.
Employed persons are annually linked with emterprises and their establishments. With the help of the address it is possible to link the establishment with the building number and co-ordinates in the building register.
Agreements have been made with the producers of the data on the delivery of the source data for the use of the statistics.
18.3.3. Data collection - Sample survey based data
Not applicaple.
18.3.4. Data collection - Data from combined methods
Not applicaple.
18.4. Data validation
Source data arriving are checked technically. The frequencies of the data are compared with earlier years and if necessary, it is checked from the data supplier whether changes have taken place in the statistical topic, data content or classifications. Data validation is carried out at every stage of the processing of the statistical data.
18.5. Data compilation
In Finland, administrative registers use the same identification number for persons, which makes it possible and easy to combine data from different registers for statistical purposes.
Statistical units such as persons, buildings, dwellings and establishments are linked together via different codes. All dwellings are linked to a building via a building code maintained by the Digital and Population Data Services Agency. The building code provides the co-ordinates for the respective unit. Persons and dwellings (buildings and map co-ordinates) are linked via building code.
Employed persons are annually linked with emterprises and their establishments. With the help of the address it is possible to link the establishment with the building number and co-ordinates in the building register.
18.6. Adjustment
The Digital and Population data services Agency maintains Finland’s Population Information System. In general, the Population Information System of the Digital and Population data services Agency can be considered very exhaustive as regards persons. However, for statistical purposes, overcoverage of the population is corrected using the sign of life method. Persons whose address is unknown and who were not economically active or received social security benefits in the previous two years are removed from the statistical population.
No comments.
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.
14 October 2024
The information is given separately for each census topic. See the sub-concepts 3.4.1 - 3.4.37.
The EU programme for the 2021 population and housing censuses includes data on persons, private households, family nuclei, conventional dwellings and living quarters.
The census data covers the persons with permanent residence in Finland. Permanent residence is measured by the stay or intention to stay in the country lasting at least 12 months, based on information in the Population Information System maintained by the Digital and Population Data Services Agency.
Data are available at different levels of geographical detail in reporting country: national, NUTS2/NUTS3 regions and local administrative units (LAU), grids.
Information is provided in the sub-concepts 5.1 - 5.3.
Administrative registers and other register-based data are mainly used as source data for the census statistics. Thus, the quality of the statistics is directly dependent on the quality of the source data. Direct data collection takes place only in the definition of establishment data for those employed by multi-establishment enterprises and in the definition of occupation for unorganised enterprises.
In Finland, the reliability of register-based data was studied even before the decision was made about the transition to a register-based population census system. In the 1980 and 1985 census data describing the population's economic activity and employment were still collected with questionnaires, but register-based data were also available at the same time. In the 1980 census a comparative survey was made for 20 municipalities and in the 1985 census for all municipalities. The survey compared register-based data on the population's main type of activity and status in occupation with data collected with questionnaires. The differences in data produced on the basis of registers and questionnaires were found to be so small that the decision to move to register-based statistics production could be made.
An extensive reliability study was conducted in 1990 in connection with the first entirely register-based population census. The register statistics were compared with the data provided by the sample-based questionnaire inquiry. The sample comprised around two per cent of buildings, dwellings and persons. The reliability study showed how large a share of the questionnaire data and register data differed from each other but not ultimately which data were correct. For example, a person with several jobs reported a different job as the main job in the questionnaire inquiry than the one inferred from the register. A working student was inevitably defined as employed based on register data even if he/she had not reported his/her job. Studies have shown that the difference between register-based and questionnaire-based data is not greater than the difference between two questionnaire-based data. Comparative studies have been published in Statistics Finland's series.
The use of the Labour Force Survey as comparison data has become the most important quality control method for the register-based employment statistics. The reliability studies of the 1995 and 2000 censuses were also based on the use of the Labour Force Survey as comparison data.
The use of the Labour Force Survey as comparison data works on two levels. On the one hand, the aim is to monitor the level of the results produced by these two methods and on the other hand, how well the methods produce data classified in the same manner at unit level. Unit-level comparisons are made by cross-tabulating register-based and interview-based data on main type of activity and industry from the same time for persons in the sample data of the Labour Force Survey. Comparisons have been made since 1987.
The deviations can often be explained by differences between the register system and the interview method, and it cannot always be unambiguously said which method produces the right result, that is, even the data obtained with the interviews are not necessarily absolutely correct. Often in reality the person or the interviewer has to make a decision based on conflicting information, while an unequivocal rule has been compiled in the register method. The advantage of the register method is then its logicality: the machine always makes the decision in the same way, but persons with the same information can end up with different results.
Counts of statistical units should be expressed in numbers and where is needed rate per inhabitants enumerated in the country.
In Finland, administrative registers use the same identification number for persons, which makes it possible and easy to combine data from different registers for statistical purposes.
Statistical units such as persons, buildings, dwellings and establishments are linked together via different codes. All dwellings are linked to a building via a building code maintained by the Digital and Population Data Services Agency. The building code provides the co-ordinates for the respective unit. Persons and dwellings (buildings and map co-ordinates) are linked via building code.
Employed persons are annually linked with emterprises and their establishments. With the help of the address it is possible to link the establishment with the building number and co-ordinates in the building register.
Source of the population and housing census are administrative data sources, statistical registers and other statistical data. In addition to registers, some inquiries are made to collect data on place on work of persons working in multi-establishment enterprises and occupation of employed of unorganised enterprises.
Data is combined from different data sources using the unique identifiers (personal identification number, building number, dwelling number and business-id).
Decennial.
At the national level, data is available annually.
The first data related to the population census was published three months after the reference date (population structure) and the last data 22,5 months after the reference date (occupation).
All Census hypercubes were delivered to Eurostat in February 2024 (before the legal deadline)
Metadata was delivered in March 2024
The data of the census statistics can be produced with both national and European regional classifications (NUTS), given that the statistics include coordinate data for buildings and persons. The statistics are compiled primarily on the basis of concepts and definitions in line with the UN’s recommendations.
The changing regional classifications (such as changes in municipalities) affect the comparability of certain data (e.g. commuting between municipalities). Employment outside the borders of Finland may cause errors in the employment data of border municipalities.
Regarding educational data, the under-coverage is greatest in the regions with the greatest number of immigrants. Under-coverage also pertains to the regions from which individuals head abroad for studies (such as the Åland Islands).
Not applicable.


