1.1. Contact organisation
State Data Agency (Statistics Lithuania)
1.2. Contact organisation unit
Population Statistics Division
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
29 Gedimino Ave, LT-01500 Vilnius, Lithuania
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
16 December 2024
2.2. Metadata last posted
16 December 2024
2.3. Metadata last update
16 December 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. The Lithuanian Population and Housing Census 2021 is fully register-based.
3.1.1. Impact of the COVID-19 pandemic on census methodology
No impact due to COVID-19 pandemic on the census methodology.
3.2. Classification system
The following classification systems were used:
- Nomenclature of Territorial Units for Statistics (NUTS 2021)
- International Standard Classification of Education (ISCED11)
- International standard classification of occupations (ISCO-08)
- 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.
3.4.1. Statistical concepts and definitions - Usual residence
‘Usual residence’ means the place where a person normally spends the daily period of rest, regardless of temporary absences for purposes of recreation, holidays, visits to friends and relatives, business, medical treatment or religious pilgrimage.
The following persons are considered to be usual residents of the geographical area in question:
(i) those who have lived in their place of usual residence for a continuous period of at least 12 months before the reference date
(ii) those who arrived in their place of usual residence during the 12 months before the reference date with the intention of staying there for at least one year
Where the circumstances described in point (i) or (ii) cannot be established, ‘usual residence’ shall mean the place of legal or registered residence.
3.4.2. Statistical concepts and definitions - Sex
Male, female.
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 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. Mariage is regulated by the third book of Civil Clode of the Republic of Lithuania - Family Law.
Legal age for marriage is 18 years. The court has the right to reduce the marital age of a person who wants to marry under the simplified procedure, but not more than two years. In the case of pregnancy, the court may allow a person who has not reached the age of sixteen to marry.
Same-sex marriage or partnership is not legally recognised.
3.4.5. Statistical concepts and definitions - Family status
The family nucleus is defined in a narrow sense; that is as two or more persons who belong to the same household and who are related as husband and wife, as partners in a registered partnership, as partners in a consensual union, or as parent and child. Thus, a family comprises a couple without children or a couple with one or more children, or a lone parent with one or more children. This family concept limits relationships between children and adults to direct (first-degree) relationships, that is, between parents and children.
3.4.6. Statistical concepts and definitions - Household status
Private households are identified using the ‘household- dwelling concept’. 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 one week, which is the last seven days prior to enumeration.In Lithuania, minors can start working from the age of 14, but depending on whether they fall into the age group of children (persons aged 14 to 16) or teenagers (persons aged 16 to 18), different restrictions apply to the nature of their work, work and rest time, safety and health, as well as the conclusion of an employment contract.
3.4.8. Statistical concepts and definitions - Occupation
Occupation refers to the type of work done in a job. ‘Type of work’ is described by the main tasks and duties of the work.
Persons are classified according to the occupation they had during their most recent employment. The categories included in the breakdown 'occupation' correspond to the major groups of the ISCO-08 (COM) classification.
Persons under the age of 15 years, as well as persons aged 15 or over that were:
- not economically active during the reference week, or
- unemployed, never worked before (i.e. they have never been employed in their lives)
are classified under 'not applicable'.
The allocation of a person within the breakdowns of the topics 'Occupation', 'Industry' and 'Status in employment' is based on the same job.
3.4.9. Statistical concepts and definitions - Industry
Industry (branch of economic activity) refers to the kind of production or activity of the establishment or similar unit in which the job of an employed person is located.
Persons doing more than one job is allocated an industry (branch of economic activity) based on their main job, which is to be identified according to the income received.
The breakdown by industry is available for persons aged 15 or over that were employed during the reference week.
3.4.10. Statistical concepts and definitions - Status in employment
An ‘employee’ is a person who works in a ‘paid employment’ job, that is a job where the explicit or implicit contract of employment gives the incumbent a basic remuneration, which is independent of the revenue of the unit for which he/ she works. An ‘employer’ is a person who, working on his or her own account or with a small number of partners, holds a ‘self- employment’ job and, in this capacity, on a continuous basis (including the reference week) has engaged one or more persons to work for him/her as ‘employees’.
3.4.11. Statistical concepts and definitions - Place of work
The location of the place of work is the geographical area in which a currently employed person does his/her job.
The place of work of those mostly working at home is the same as their usual residence. The term ‘working’ refers to work done as an ‘employed person’ as defined under the topic ‘Current activity status’. ‘Mostly’ working at home means that the person spends all or most of the time working at home, and less, or no, time in a place of work other than at home.
Information on persons who do not have a fixed place of work but who report to a fixed address at the beginning of their work period (for example bus drivers, airline crew, operators of street market stalls that are not removed at the end of the workday) refer to that address. This group may also include individuals who travel to work, on a regular basis, across the border to a neighbouring country. Breakdown ‘No fixed place of work (inside or outside the Member State)’ includes all persons without fixed place of work but will also refer to persons such as sailors, fishermen and offshore workers for whom it may not be possible to allocate the place of work.
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 under 15 are classified under Not applicable.
ISCED level 05 does not exist in Lithuania.
3.4.13. Statistical concepts and definitions - Size of the locality
A locality is defined as a distinct population cluster that is an area defined by population living in neighboring or contiguous buildings.
Such buildings may be either:
(a) form a continuous built-up area with a clearly recognizable street formation; or
(b) though not part of such a built-up area, comprise a group of buildings to which a locally recognized place name is uniquely attached; or
(c) though not meeting either of the above two criteria, constitute a group of buildings, none of which is separated from its nearest neighbor by more than 200 meters.
3.4.14. Statistical concepts and definitions - Place of birth
Information on the ‘Place of birth’ is collected according to the place in which the birth took place, on the basis of international boundaries existing on 1 January 2021.
3.4.15. Statistical concepts and definitions - Country of citizenship
Citizenship is defined as the particular legal bond between an individual and his/her State, acquired by birth or naturalization, whether by declaration, option, marriage or other means according to the national legislation. A person with two or more citizenships is allocated to only one country of citizenship, to be determined in the following order of precedence:
- reporting country
- if the person does not have the citizenship of the reporting country: other EU Member State
- if the person does not have the citizenship of another EU Member State: other country outside the European Union.
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 1 January 2021.
3.4.17. Statistical concepts and definitions - Residence one year before
The relationship between the current place of usual residence and the place of usual residence one year prior to the census.
For all persons that have changed their usual residence more than once within the year prior to the reference date, the previous place of usual residence is the last usual residence from which they moved to their current place of usual residence.
3.4.18. Statistical concepts and definitions - Housing arrangements
The topic ‘Housing arrangements’ covers the whole population and refers to the type of housing in which a person usually resides at the time of the census. This covers all persons who are usual residents in different types of living quarters, or who do not have a usual residence and stay temporarily in some type of living quarters, or who are roofless, sleeping rough or in emergency shelters, when the census is taken.
'Other housing units' are huts, cabins, shacks, shanties, caravans, houseboats, barns, mills, caves or any other shelter used for human habitation at the time of the census, irrespective if it was designed for human habitation.
'Collective living quarters' are premises which are designed for habitation by large groups of individuals or several households and which are used as the usual residence of at least one person at the time of the census.
'Occupied conventional dwellings', 'other housing units' and 'collective living quarters' together represent ‘living quarters'. Any 'living quarter' must be the usual residence of at least one person.
The sum of occupied conventional dwellings and other housing units represents 'housing units'.
The homeless (persons who are not usual residents in any living quarter category) can be persons living in the streets without a shelter that would fall within the scope of living quarters (primary homelessness).
3.4.19. Statistical concepts and definitions - Type of family nucleus
The family nucleus is defined in a narrow sense; that is as two or more persons who belong to the same household and who are related as husband and wife, as partners in a registered partnership, as partners in a consensual union, or as parent and child. Thus a family comprises a couple without children or a couple with one or more children, or a lone parent with one or more children. This family concept limits relationships between children and adults to direct (first-degree) relationships, that is, between parents and children.
Child (son/daughter) refers to a blood, step- or adopted son or daughter (regardless of age or marital status) who has usual residence in the household of at least one of the parents, and who has no partner or own children in the same household. Foster children are not included. A son or daughter who lives with a spouse, with a registered partner, with a partner in a consensual union, or with one or more own children, is not considered to be a child. A child who alternates between two households (for instance if his or her parents are divorced) shall consider the one where he or she spends the majority of the time as his or her household. Where an equal amount of time is spent with both parents the household shall be the one where the child is found at the time on census night.
The term couple shall include married couples, couples in registered partnerships, and couples who live in a consensual union.
Registered partnerships are reported only by countries that have a legal framework regulating partnerships that:
(a) lead to legal conjugal obligations between two persons;
(b) are not marriages;
(c) prevent persons to commit themselves into multiple partnerships with different partners.
Two persons are considered to be partners in a 'consensual union' when they
- belong to the same household, and
- have a marriage-like relationship with each other, and
- are not married to or in a registered partnership with each other.
'Skip-generation households' (households consisting of a grandparent or grandparents and one or more grandchildren, but no parent of those grandchildren) are not included in the definition of a family.
3.4.20. Statistical concepts and definitions - Size of family nucleus
The family nucleus is defined in a narrow sense; that is as two or more persons who belong to the same household and who are related as husband and wife, as partners in a registered partnership, as partners in a consensual union, or as parent and child. Thus a family comprises a couple without children or a couple with one or more children, or a lone parent with one or more children. This family concept limits relationships between children and adults to direct (first-degree) relationships, that is, between parents and children.
3.4.21. Statistical concepts and definitions - Type of private household
Private households are identified using ‘household- dwelling concept’. 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.
3.4.22. Statistical concepts and definitions - Size of private household
Private households are identified using the ‘household- dwelling concept’. 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.
'Primary homeless persons' are persons living in the streets without a shelter that would fall within the scope of living quarters.
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.
Households that are in the process of paying off a mortgage on the housing unit in which they live or purchasing their housing unit over time under other financial arrangements are classified under 'Households of which at least one member is the owner of the housing unit'.
Households of which at least one member is the owner of the housing unit and at least one member tenant of all or part of the housing unit are classified under category 'Households of which at least one member is the owner of the 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
Not applicable.
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)
Not applicable.
3.4.32. Statistical concepts and definitions - Water supply system
Whether the conventional dwelling is equipped with piped water.
3.4.33. Statistical concepts and definitions - Toilet facilities
Whether the conventional dwelling is equipped with toilet facilities.
3.4.34. Statistical concepts and definitions - Bathing facilities
Whether the conventional dwelling is equipped with bathing facilities.
3.4.35. Statistical concepts and definitions - Type of heating
Conventional dwelling is considered as centrally heated if heating is provided either from a community heating centre or from an installation built in the building or in the conventional dwelling, established for heating purposes, without regard to the source of energy.
3.4.36. Statistical concepts and definitions - Type of building
The topic ‘Dwellings by type of building’ refers to the number of dwellings in the building in which the dwelling is placed.
3.4.37. Statistical concepts and definitions - Period of construction
The topic ‘Dwellings by period of construction’ refers to the year when the building in which the dwelling is placed was completed.
3.5. Statistical unit
The EU programme for the 2021 population and housing censuses includes data on persons, private households, family nuclei, conventional dwellings and living quarters.
3.6. Statistical population
The persons enumerated in the 2021 census are those who were usually resident in the territory of the reporting country at the census reference date.
3.7. Reference area
Data are available at different levels of geographical detail in EU countries: national, NUTS2/NUTS3 regions and local administrative units (LAU), grids.
3.8. Coverage - Time
Tthe census reference date is 1 of January 2021.
3.9. Base period
Not applicable.
Counts of statistical units should be expressed in numbers and where is needed rate per inhabitants enumerated in the country.
See the following sub-concepts.
5.1. EU census reference date
1 January 2021
5.2. National census reference date
1 January 2021
5.3. Differences between reference dates of national and EU census publications
No differences.
6.1. Institutional Mandate - legal acts and other agreements
Resolution No 1125 of 14 November 2018 of the Government of the Republic of Lithuania on the 2021 Population and Housing Census of the Republic of Lithuania (only in Lithuanian)
6.1.1. Bodies responsible
State Data Agency (Statistics Lithuania)
6.2. Institutional Mandate - data sharing
Resolution no. 1125 of the Government of the Republic of Lithuania, 2018 November 14 "On the 2021 population and housing census of the Republic of Lithuania"
The Law of Republic of Lithuania on reduction of administrative burden.
7.1. Confidentiality - policy
Confidentiality - Regulation (EU) 2017/712 Art 4 and 5
Data confidentiality is guaranteed by the Law on Legal Protection of Personal Data and the Law on Statistics of the Republic of Lithuania, establishing that the personal data collected during the Census may be used only for the production of statistical information. Individuals had the following rights established by the Law on Legal Protection of Personal Data: to familiarise themselves with their personal data managed by Statistics Lithuania, to be informed about the management of their personal data and have the right to demand that their personal data are corrected, destroyed or the management thereof is stopped. Statistics Lithuania was managing the personal data submitted following organisational and technical data protection measures.
Statistics Lithuania also has the internal documents on data protection. The above mentioned documents describe the special requirements for IT structure, working with confidential data and publishing of results.
7.2. Confidentiality - data treatment
Confidentiality - Regulation (EU) 2017/712 Art 4 and 5
In the process of Census data processing and publication of statistical information, the confidentiality principle was adhered to – data were used only for statistical purposes, in a manner that would not enable the identification of a certain individual or household. Statistics Lithuania has a general guidelines for dealing with the confidentiality issues. For statistical disclosure control of 2021 Census data Statistics Lithuania used Targert record swapping and Cell Key (random noice) method.
8.1. Release calendar
Grid Census data are made available 12 months after the end of the reference period (Jannuary 2023)
Preliminary census 2021 national data published on 21 of December 2021. Final national census data published in 2022.
8.2. Release calendar access
National census 2021 information is published on the Official Statistics Portal (osp.stat.gov.lt), according to an approved statistical information release calendar and the Rules for the Preparation and Dissemination of Statistical Information of Statistics Lithuania.
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.
Decennial
See the following sub-concepts.
10.1. Dissemination format - News release
News releases were published according to an approved news release calendar. They are available on Official Statistics Portal
10.2. Dissemination format - Publications
Census information by population demographic, social, etnocultural and economic characteristics, households, families and housing was published in the e-publication “Results of the 2021 Population and Housing Census of the Republic of Lithuania”.
10.3. Dissemination format - online database
Database is available on Official Statistics Portal.
10.4. Dissemination format - microdata access
Statistics Lithuania may, on the basis of contracts concluded with higher education institutions or research institutes, provide statistical data to researchers of these higher education institutions and research institutes to carry out specific statistical analyses for research purposes. Statistical data are provided in accordance with the provisions specified in the Description of Procedure for Data Depersonalisation and Pseudonymisation (only in Lithuanian).
Statistics Lithuania aiming to better satisfy the need for statistical information, provides users with opportunities to access open data sets with data on statistical observation units. More information is available on the Official Statistics Portal, in the section Open Data.
10.5. Dissemination format - other
Census results were aggregated to the level of a grid and provided for users through the Open Data Portal on the Official Statistics Portal. Also statistical information is provided upon individual requests.
10.6. Documentation on methodology
Methodological documents are published only in Lithuanian in the Official Statistics Portal section Population and Housing Census.
10.7. Quality management - documentation
Methodological documents and legal documents are published in the Official Statistics Portal section Population and Housing Census.
11.1. Quality assurance
Quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice and ESS Quality Assurance Framework.
In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. Main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy.
Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify areas which need improvement and to promptly eliminate shortcomings.
More information on assurance of quality of statistical information and its preparation is published in the Quality Management section on the Statistics Lithuania website.
11.2. Quality management - assessment
In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. Main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy.
11.2.1. Coverage assessment
To ensure coverage of the Census 2021 'signs of life' were searched in 19 administrative data sources. Also demographic analysis, surveys data analysis and qualitative information were used.
11.2.2. Post-enumeration survey(s)
Post-enumeration survey was not conducted.
12.1. Relevance - User Needs
The main users of statistical information are State, municipal and scientific institutions, international organisations, the media, businessmen, students, whose needs are satisfied without a breach of the confidentiality principle. Results of the census are relevant for assessing the change in the number of households and families between the censuses and the distribution of the households and families in administrative territorial units. Results of the census allow better preparation of various programs: reforms in the social sphere or education, etc., preparation of short-term and long-term regional forecasts.
12.2. Relevance - User Satisfaction
Since 2005, user opinion surveys have been conducted on a regular basis. The Official Statistics Portal traffic is monitored, website visitor opinion polls, general opinion poll on the products and services of Statistics Lithuania, target user group opinion polls and other surveys are conducted.
In 2007, the compilation of a user satisfaction index was launched. The said surveys are aimed at the assessment of the overall demand for and necessity of statistical information in general and specific statistical indicators in particular.
More information on user opinion surveys and results thereof are published in the User Surveys section on the Statistics Lithuania website.
12.3. Completeness
All indicators laid down in the regulation are published. All information produced in accordance with the Official Statistics Work Programme is published.
13.1. Accuracy - overall
Census is based on administrative data sources. Quality of data received by Statistics Lithuania is ensured by the holders of administrative data. In Statistics Lithuania the quality of data is ensured by checking the completeness of administrative data and analyzing the results obtained. The obtained results are analyzed and, if necessary, the data provider is contacted, data editing is performed.
13.1.1. Overall accuracy - Usual residence
There are no particular reasons for data unreliability for this topic
13.1.2. Overall accuracy - Sex
There are no particular reasons for data unreliability for this topic
13.1.3. Overall accuracy - Age
There are no particular reasons for data unreliability for this topic
13.1.4. Overall accuracy - Marital status
There are no particular reasons for data unreliability for this topic
13.1.5. Overall accuracy - Family status
There are no particular reasons for data unreliability for this topic
13.1.6. Overall accuracy - Household status
There are no particular reasons for data unreliability for this topic
13.1.7. Overall accuracy - Current activity status
There are no particular reasons for data unreliability for this topic
13.1.8. Overall accuracy - Occupation
There are no particular reasons for data unreliability for this topic
13.1.9. Overall accuracy - Industry
There are no particular reasons for data unreliability for this topic
13.1.10. Overall accuracy - Status in employment
There are no particular reasons for data unreliability for this topic
13.1.11. Overall accuracy - Place of work
There are no particular reasons for data unreliability for this topic
13.1.12. Overall accuracy - Educational attainment
There are no particular reasons for data unreliability for this topic
13.1.13. Overall accuracy - Size of the locality
There are no particular reasons for data unreliability for this topic
13.1.14. Overall accuracy - Place of birth
There are no particular reasons for data unreliability for this topic
13.1.15. Overall accuracy - Country of citizenship
There are no particular reasons for data unreliability for this topic
13.1.16. Overall accuracy - Year of arrival in the country
There are no particular reasons for data unreliability for this topic
13.1.17. Overall accuracy - Residence one year before
There are no particular reasons for data unreliability for this topic
13.1.18. Overall accuracy - Housing arrangements
There are no particular reasons for data unreliability for this topic
13.1.19. Overall accuracy - Type of family nucleus
There are no particular reasons for data unreliability for this topic
13.1.20. Overall accuracy - Size of family nucleus
There are no particular reasons for data unreliability for this topic
13.1.21. Overall accuracy - Type of private household
There are no particular reasons for data unreliability for this topic
13.1.22. Overall accuracy - Size of private household
There are no particular reasons for data unreliability for this topic
13.1.23. Overall accuracy - Tenure status of households
There are no particular reasons for data unreliability for this topic
13.1.24. Overall accuracy - Type of living quarter
There are no particular reasons for data unreliability for this topic
13.1.25. Overall accuracy - Occupancy status
There are no particular reasons for data unreliability for this topic
13.1.26. Overall accuracy - Type of ownership
There are no particular reasons for data unreliability for this topic
13.1.27. Overall accuracy - Number of occupants
There are no particular reasons for data unreliability for this topic
13.1.28. Overall accuracy - Useful floor space
There are no particular reasons for data unreliability for this topic
13.1.29. Overall accuracy - Number of rooms
There are no particular reasons for data unreliability for this topic
13.1.30. Overall accuracy - Density standard (floor space)
There are no particular reasons for data unreliability for this topic
13.1.31. Overall accuracy - Density standard (number of rooms)
There are no particular reasons for data unreliability for this topic
13.1.32. Overall accuracy - Water supply system
There are no particular reasons for data unreliability for this topic
13.1.33. Overall accuracy - Toilet facilities
There are no particular reasons for data unreliability for this topic
13.1.34. Overall accuracy - Bathing facilities
There are no particular reasons for data unreliability for this topic
13.1.35. Impact of the COVID pandemic on data accuracy
No impact due to COVID-19.
13.2. Sampling error
The sample is not collected, census is based on the basis of administrative sources.
13.3. Non-sampling error
A complete enumeration is based on administrative data sources. Accuracy of results depends on the quality of administrative sources.
14.1. Timeliness
Statistical information is published within 27 months of the end of the census year.
14.2. Punctuality
Statistical information published on time.
15.1. Comparability - geographical
The statistical information is comparable across the EU.
15.1.1. Geographic information - data quality
Comparability is fully ensured.
15.2. Comparability - over time
Not applicable.
15.3. Coherence - cross domain
Values of the indicators are harmonized with the values of indicators of the following surveys prepared by Statistics Lithuania:
- The number and the composition of the usual resident population
- Migration statistics
- Population Employment
- Income and Living Conditions
- Household Budget Surveys
15.4. Coherence - internal
Statistical indicators are harmonised according to EU legislation.
EUR 1360.0 thousands were allocated for the Census.
The census is completely register-based, there is no statistical reporting burden on respondents.
17.1. Data revision - policy
The revision policy applied by Statistics Lithuania is described in the Description of Procedure for Performance, Analysis and Publication of Revisions of Statistical Information.
17.2. Data revision - practice
The final results are published and they are not revised after publishing.
18.1. Source data
Administrative data sources.
18.1.1. List of data sources
Data sources of statistical information are data from the following administrative sources:
- the Addresses Register of the Republic of Lithuania;
- Register of Insured Persons with the State Social Insurance and State Social Insurance Benefits of the Republic of Lithuania,
- Register of Compulsory Health Insurance of the Republic of Lithuania,
- Population Register,
- Suspects and Convicts Register,
- Taxpayers Register,
- Pupils Register,
- Real Estate Register,
- Teachers Register,
- Students Register,
- Farm Animals Register,
- Civil Servants Register,
- Inner Affairs Officials Register,
- Information System of the Employment Service under the Ministry of Social Security and Labor of the Republic of Lithuania,
- Information System of the Disability and Incapacity Detection Service,
- Application Information System,
- Compulsory Health Insurance Information System ''Sveidra'',
- family Social Support Information System,
- Registration of Data of Shelters for Homeless.
18.1.1.1. List of data sources - Data on persons
All data sources listed under point 18.1.1. were used for data on persons. The key data source is Population Register.
18.1.1.2. List of data sources - Data on households
All data sources listed under point 18.1.1. were used for data on households. The key data sources are Population Register and Real Estate Register.
18.1.1.3. List of data sources - Data on family nuclei
All data sources listed under point 18.1.1. were used for data on amilies. The key data source is Population Register.
18.1.1.4. List of data sources - Data on living quarters
The key data source on living quarters is Addresses Register of the Republic of Lithuania.
18.1.1.5. List of data sources - Data on conventional dwellings
The key data source for data on conventional dwellings is Real Estate Register.
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
Data sources of statistical information are data from the following administrative sources:
- the Addresses Register of the Republic of Lithuania,
- Register of Insured Persons with the State Social Insurance and State Social Insurance Benefits of the Republic of Lithuania,
- Register of Compulsory Health Insurance of the Republic of Lithuania,
- Population Register,
- Suspects and Convicts Register,
- Taxpayers Register,
- Pupils Register,
- Real Estate Register,
- Teachers Register,
- Students Register,
- Farm Animals Register,
- Civil Servants Register,
- Inner Affairs Officials Register,
- Information System of the Employment Service under the Ministry of Social Security and Labor of the Republic of Lithuania,
- Information System of the Disability and Incapacity detection Service,
- Application Information System,
- Compulsory Health Insurance Information System "Sveidra",
- Family Social Support Information System,
- Registration of Data of Shelters for Homeless.
18.1.4. Adequacy of data sources
The characteristics of each statistical unit are recorded separately, so that each characteristic can be cross-classified with others.
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
Every 10 years
18.2. Frequency of data collection
Decennial
18.3. Data collection
Administrative data are obtained, updated and used in accordance with legislation under the arrangements signed by Statistics Lithuania and administrative data holders.
18.3.1. Data collection - Questionnaire based data
No questionnaire.
18.3.2. Data collection - Register based data
Administrative data are obtained, updated and used in accordance with legislation under the arrangements signed by Statistics Lithuania and administrative data holders.
18.3.3. Data collection - Sample survey based data
No survey data used.
18.3.4. Data collection - Data from combined methods
No combined method used.
18.4. Data validation
Analysis of changes of the results obtained is made; reasons for significant changes are identified. Aggregated statistical data are compared with those from the previous census, other surveys carried out by Statistics Lithuania. Arithmetical and logical control of primary statistical data is performed.
18.5. Data compilation
Census 2021 is register-based. Total 19 administrative data sources were used.
For more details, the process of developing statistical indicators is described in the 2021 Population and Housing Census of the Republic of Lithuania Methodology (only in Lithuanian).
18.6. Adjustment
Impact of the season and the number of working days on census statistics is not assessed.
More information on the Lithuanian Population and Housing Censuses is available in the Official Statistics Portal section Population and Housing Census.
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. The Lithuanian Population and Housing Census 2021 is fully register-based.
16 December 2024
The information is given separately for each census topic.
The EU programme for the 2021 population and housing censuses includes data on persons, private households, family nuclei, conventional dwellings and living quarters.
The persons enumerated in the 2021 census are those who were usually resident in the territory of the reporting country at the census reference date.
Data are available at different levels of geographical detail in EU countries: national, NUTS2/NUTS3 regions and local administrative units (LAU), grids.
See the following sub-concepts.
Census is based on administrative data sources. Quality of data received by Statistics Lithuania is ensured by the holders of administrative data. In Statistics Lithuania the quality of data is ensured by checking the completeness of administrative data and analyzing the results obtained. The obtained results are analyzed and, if necessary, the data provider is contacted, data editing is performed.
Counts of statistical units should be expressed in numbers and where is needed rate per inhabitants enumerated in the country.
Census 2021 is register-based. Total 19 administrative data sources were used.
For more details, the process of developing statistical indicators is described in the 2021 Population and Housing Census of the Republic of Lithuania Methodology (only in Lithuanian).
Administrative data sources.
Decennial
Statistical information is published within 27 months of the end of the census year.
The statistical information is comparable across the EU.
Not applicable.


