1.1. Contact organisation
Statistics Lithuania
1.2. Contact organisation unit
Population Census and Survey Organization 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
31 March 2014
2.2. Metadata last posted
6 February 2014
2.3. Metadata last update
6 February 2014
3.1. Data description
There are no particular reasons for data unreliability for this topic
3.2. Classification system
The census data disseminated by Eurostat are addressed to policy makers, researchers, media and the general public.
3.3. Coverage - sector
3.4. Statistical concepts and definitions
3.4.1. Statistical concepts and definitions - Usual residence
Usual residence means the place where a person normally spends the daily period of rest, regardless of temporary absences for purposes of recreation, holidays, visits to friends and relatives, business, medical treatment or religious pilgrimage.
Persons usually resident in the place of enumeration but absent, or expected to be absent, at the time of the census for less than one year shall be considered as temporarily absent persons and thus included in the total unsually population. In contrast, persons living or expected to live outside the place of enumeration for one year or more shall not be considered temporarily absent and shall therefore be excluded from the total population. This is regardless of the length of visits that they may pay to their families from time to time.
Persons who are enumerated but do not meet the criteria for usual residence in the place of enumeration, i.e. do not live or do not expect to live in the place of enumeration for a continuous period of at least 12 months, are considered temporarily present and are therefore not counted in the total usually resident population.
3.4.2. Statistical concepts and definitions - Sex
Male, female.
3.4.3. Statistical concepts and definitions - Age
A bathing facility is any facility designed to wash the whole body and includes shower facilities.
3.4.4. Statistical concepts and definitions - Marital status
Industry (branch of economic activity) is the kind of production or activity of the establishment (or similar unit) in which the job of a currently economically active person is located.
Persons doing more than one job shall be allocated an industry (branch of economic activity) based on their main job, which is to be identified according to the time spent on the job or (if not available) the income received.
The breakdown by industry is available for persons aged 15 or over that were:
— employed during the reference week, or
— unemployed during the reference week, but have ever been in employment
Persons are classified according to the industry they worked in during their most recent employment. The categories included in the breakdown 'industry' list the 21 sections of the NACE Rev. 2 classification and appropriate aggregates.
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, and have never worked before (i.e. 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.
3.4.5. Statistical concepts and definitions - Family status
'Educational attainment' refers to the highest level successfully completed in the educational system of the country where the education was received. All education which is relevant to the completion of a level is taken into account even if this was provided outside schools and universities.
Persons aged 15 years or over are classified under only one of the categories according to their educational attainment (highest completed level). Persons under the age of 15 years are classified under 'not applicable'.
3.4.6. Statistical concepts and definitions - Household status
The housekeeping concept was used for defining the household. The household refers to a person living alone or a group of persons sharing the same dwelling and expenditure, including collective provision of necessities of life. A household is often comprised of more than one family as well as by persons who are not in kin relationships.
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 may be either a specified, recent, fixed, calendar week, or the last complete calendar week, or the last seven days prior to enumeration.
The 'currently economically active population' comprises all persons who fulfil the requirements for inclusion among the employed or the unemployed.
'Employed' persons comprise all persons aged 15 years or over who during the reference week:
(a) performed at least one hour of work for pay or profit, in cash or in kind, or
(b) were temporarily absent from a job in which they had already worked and to which they maintained a formal attachment, or from a self-employment activity.
The 'unemployed' comprise all persons aged 15 years or over who were:
(a) 'without work', that is, were not in wage employment or self-employment during the reference week; and
(b) 'currently available for work', that is, were available for wage employment or self-employment during the reference week and for two weeks after that; and
(c) 'seeking work', that is, had taken specific steps to seek wage employment or self-employment within four weeks ending with the reference week.
The category 'Currently not economically active' includes persons below the national minimum age for economic activity.
In ascribing a single activity status to each person, priority is given to the status of 'employed' in preference to 'unemployed', and to the status of 'unemployed' in preference to 'not economically active'.
3.4.8. Statistical concepts and definitions - Occupation
Occupation' refers to the type of work done in a job (that is the main tasks and duties of the work). Persons doing more than one job are allocated an occupation based on their main job, which is identified according to the time spent on the job or, if not available, to the income received.
The breakdown by occupation is available for persons aged 15 or over that were:
— employed during the reference week, or
— unemployed during the reference week, but have ever been in employment
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) is the kind of production or activity of the establishment (or similar unit) in which the job of a currently economically active person is located.
Persons doing more than one job shall be allocated an industry (branch of economic activity) based on their main job, which is to be identified according to the time spent on the job or (if not available) the income received.
The breakdown by industry is available for persons aged 15 or over that were:
— employed during the reference week, or
— unemployed during the reference week, but have ever been in employment
Persons are classified according to the industry they worked in during their most recent employment. The categories included in the breakdown 'industry' list the 21 sections of the NACE Rev. 2 classification and appropriate aggregates.
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, and have never worked before (i.e. 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.
3.4.10. Statistical concepts and definitions - Status in employment
The family nucleus is defined in the narrow sense, that is as two or more persons who belong to the same household and who are related as husband and wife, as partners in a registered partnership, as partners in a consensual union, or as parent and child. Thus a family comprises a couple without children, or a couple with one or more children, or a lone parent with one or more children. This family concept limits relationships between children and adults to direct (first-degree) relationships, that is between parents and children.
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.
3.4.11. 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.
3.4.12. Statistical concepts and definitions - Educational attainment
'Educational attainment' refers to the highest level successfully completed in the educational system of the country where the education was received. All education which is relevant to the completion of a level is taken into account even if this was provided outside schools and universities.
Persons aged 15 years or over are classified under only one of the categories according to their educational attainment (highest completed level). Persons under the age of 15 years are classified under 'not applicable'.
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 neighbouring or contiguous buildings. Such buildings may either:
(a) form a continuous built-up area with a clearly recognisable street formation; or
(b) though not part of such a built-up area, comprise a group of buildings to which a locally recognised 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 neighbour by more than 200 metres.
3.4.14. Statistical concepts and definitions - Place of birth
Place of birth is defined as the place of usual residence of the mother at the time of the birth, or, if not available, as the place in which the birth took place.
Information on the country of birth is based on the international boundaries existing on 1 January 2011. 'EU Member State', in particular, means a country that is a member of the European Union on 1 January 2011. The list of countries in the breakdown 'country/place of birth' serves only for statistical purposes.
For reporting countries that are EU Member States, the sub-category under the category 'other EU Member State' that refers to their Member State does not apply. For reporting countries that are not EU Member States, the category 'Other EU Member State' shall be read as 'EU Member State'.
The category 'Information not classifiable according to current borders' covers those persons whose country of birth existed at the time of the birth, but no longer exists at the time of the census, and who cannot be allocated uniquely to one country existing at the time of the census, i.e. according to current borders.
The category 'outside any country' covers persons for whom the usual residence of the mother at the time of the birth is not known and who where born outside the borders of any country, for example at sea or in the air.
3.4.15. Statistical concepts and definitions - Country of citizenship
Citizenship is defined as the particular legal bond between an individual and his/her State, acquired by birth or naturalisation, 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:
1. reporting country; or
2. if the person does not have the citizenship of the reporting country: other EU Member State; 3. if the person does not have the citizenship of another EU Member State: other country outside the European Union.
'EU Member State' means a country that is a member of the European Union on 1 January 2011. The list of countries in the breakdown 'Country of citizenship' shall only apply for statistical purposes.
For reporting countries that are EU Member States, the sub-category of the category 'citizenship not of reporting country, but other EU Member State' that refers to their Member State does not apply. For reporting countries that are not EU Member States, the category 'citizenship not of reporting country, but other EU Member State' shall be changed to 'citizenship of an EU Member State'.
Persons who are neither citizens of any country nor stateless and who have some but not all of the rights and duties associated with citizenship shall be classified under 'recognised non-citizens'.
3.4.16. Statistical concepts and definitions - Year of arrival in the country
The year of arrival is the calendar year in which a person most recently established usual residence in the country. The data for 2011 refer to the time span between 1 January 2011 and the reference date.
3.4.17. Statistical concepts and definitions - Residence one year before
This indicates the relationship between the current place of usual residence and the place of usual residence one year prior to the census. Children under one year of age are classified under 'Not applicable'.
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.
Occupants are persons with their usual residence in the places listed in the respective category.
'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.
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
The family nucleus is defined in the narrow sense, that is as two or more persons who belong to the same household and who are related as husband and wife, as partners in a registered partnership, as partners in a consensual union, or as parent and child. Thus a family comprises a couple without children, or a couple with one or more children, or a lone parent with one or more children. This family concept limits relationships between children and adults to direct (first-degree) relationships, that is between parents and children.
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 the narrow sense, that is as two or more persons who belong to the same household and who are related as husband and wife, as partners in a registered partnership, as partners in a consensual union, or as parent and child. Thus a family comprises a couple without children, or a couple with one or more children, or a lone parent with one or more children. This family concept limits relationships between children and adults to direct (first-degree) relationships, that is between parents and children.
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.
3.4.21. Statistical concepts and definitions - Type of private household
Private households may be defined according to the 'housekeeping concept' , or, if this is not possible, Member States may apply the 'household-dwelling' concept.
1. Housekeeping concept
According to the housekeeping concept, a private household is either:
(a) A one-person household, that is a person who lives alone in a separate housing unit or who occupies, as a lodger, a separate room (or rooms) of a housing unit but does not join with any of the other occupants of the housing unit to form part of a multiperson household as defined below; or
(b) A multiperson household, that is a group of two or more persons who combine to occupy the whole or part of a housing unit and to provide themselves with food and possibly other essentials for living. Members of the group may pool their incomes to a greater or lesser extent.
2. 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. In the household dwelling concept, then, the number of occupied housing units and the number of households occupying them is equal, and the locations of the housing units and house holds are identical.
The category 'Persons living in a private household' comprises 'Persons in a family nucleus' and 'Persons not in a family nucleus'. The category 'Persons in a family nucleus' comprises all persons who belong to a private household that contains a family nucleus of which they are a member. 'Persons not in a family nucleus' comprises all persons who either belong to a non-family household or to a family household without being member of any family nucleus in that household.
A non-family household can be a one-person household ('Living alone') or a multiperson household without any family nucleus. The category 'Not living alone' comprises persons that live either in a multiperson household without any family nucleus or in a family household without being member of any family nucleus in that household. Persons who belong to a skip-generation household and who are not member of any family nucleus in that household shall be classified in the optional category 'Persons living in a household with relative(s)'.
The term 'son/daughter' is defined as the term 'child' in the technical specifications for the topic 'Family status'. 'Husband/wife couple' means a married opposite-sex couple.
'Registered partnership' is defined as in the technical specifications for the topic 'Legal marital status'. 'Consensual union' is defined as in the technical specifications for the topic 'Family status'.
The category 'Partners' comprises 'Persons in a married couple', 'Partners in a registered partnership' and 'Partners in a consensual union'.
'Primary homeless persons' are persons living in the streets without a shelter that would fall within the scope of living quarters as defined in the technical specifications for the topic 'Type of living quarters'.
3.4.22. Statistical concepts and definitions - Size of private household
Private households may be defined according to the 'housekeeping concept' , or, if this is not possible, Member States may apply the 'household-dwelling' concept.
1. Housekeeping concept
According to the housekeeping concept, a private household is either:
(a) A one-person household, that is a person who lives alone in a separate housing unit or who occupies, as a lodger, a separate room (or rooms) of a housing unit but does not join with any of the other occupants of the housing unit to form part of a multiperson household as defined below; or
(b) A multiperson household, that is a group of two or more persons who combine to occupy the whole or part of a housing unit and to provide themselves with food and possibly other essentials for living. Members of the group may pool their incomes to a greater or lesser extent.
2. 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. In the household dwelling concept, then, the number of occupied housing units and the number of households occupying them is equal, and the locations of the housing units and house holds are identical.
The category 'Persons living in a private household' comprises 'Persons in a family nucleus' and 'Persons not in a family nucleus'. The category 'Persons in a family nucleus' comprises all persons who belong to a private household that contains a family nucleus of which they are a member. 'Persons not in a family nucleus' comprises all persons who either belong to a non-family household or to a family household without being member of any family nucleus in that household.
A non-family household can be a one-person household ('Living alone') or a multiperson household without any family nucleus. The category 'Not living alone' comprises persons that live either in a multiperson household without any family nucleus or in a family household without being member of any family nucleus in that household. Persons who belong to a skip-generation household and who are not member of any family nucleus in that household shall be classified in the optional category 'Persons living in a household with relative(s)'.
The term 'son/daughter' is defined as the term 'child' in the technical specifications for the topic 'Family status'. 'Husband/wife couple' means a married opposite-sex couple.
'Registered partnership' is defined as in the technical specifications for the topic 'Legal marital status'. 'Consensual union' is defined as in the technical specifications for the topic 'Family status'.
The category 'Partners' comprises 'Persons in a married couple', 'Partners in a registered partnership' and 'Partners in a consensual union'.
'Primary homeless persons' are persons living in the streets without a shelter that would fall within the scope of living quarters as defined in the technical specifications for the topic 'Type 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 arrangementsare 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
'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.
Conventional dwellings with persons present but not included in the census are classified under the category 'Dwellings reserved for seasonal or secondary use'.
3.4.26. Statistical concepts and definitions - Type of ownership
The topic 'Type of ownership' refers to the ownership of the dwelling and not to that of the land on which the dwelling stands.
'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'.
A 'room' is defined as a space in a housing unit enclosed by walls reaching from the floor to the ceiling or roof, of a size large enough to hold a bed for an adult (4 square metres at least) and at least 2 metres high over the major area of the ceiling.
3.4.29. 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 metres at least) and at least 2 metres high over the major area of the ceiling.
3.4.30. Statistical concepts and definitions - Density standard (floor space)
The topic ‘Density standard’ relates the useful floor space in square metres or the number of rooms to the number of occupants, as specified under the topic 'Number of occupants'.
Data report on the density standard measured by the 'useful floor space', or, if not possible, by the 'number of rooms'.
3.4.31. Statistical concepts and definitions - Density standard (number of rooms)
The topic ‘Density standard’ relates the useful floor space in square metres or the number of rooms to the number of occupants, as specified under the topic 'Number of occupants'.
Data report on the density standard measured by the 'useful floor space', or, if not possible, by the 'number of rooms'.
3.4.32. Statistical concepts and definitions - Water supply system
A water supply system is a system for the collection, transmission, treatment, storage and distribution of water from source to consumers. During the census the dwelling was considered as with water supply system if water was piped directly into the dwelling.
3.4.33. Statistical concepts and definitions - Toilet facilities
The availability of the flush toilet in the dwelling.
3.4.34. Statistical concepts and definitions - Bathing facilities
A bathing facility is any facility designed to wash the whole body and includes shower facilities.
3.4.35. Statistical concepts and definitions - Type of heating
A housing unit is considered as centrally heated if heating is provided either from a community heating centre or from an installation built in the building or in the housing unit, established for heating purposes, without regard to the source of energy.
3.4.36. Statistical concepts and definitions - Type of 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
Place of birth is defined as the place of usual residence of the mother at the time of the birth, or, if not available, as the place in which the birth took place.
Information on the country of birth is based on the international boundaries existing on 1 January 2011. 'EU Member State', in particular, means a country that is a member of the European Union on 1 January 2011. The list of countries in the breakdown 'country/place of birth' serves only for statistical purposes.
For reporting countries that are EU Member States, the sub-category under the category 'other EU Member State' that refers to their Member State does not apply. For reporting countries that are not EU Member States, the category 'Other EU Member State' shall be read as 'EU Member State'.
The category 'Information not classifiable according to current borders' covers those persons whose country of birth existed at the time of the birth, but no longer exists at the time of the census, and who cannot be allocated uniquely to one country existing at the time of the census, i.e. according to current borders.
The category 'outside any country' covers persons for whom the usual residence of the mother at the time of the birth is not known and who where born outside the borders of any country, for example at sea or in the air.
3.5. Statistical unit
The year of arrival is the calendar year in which a person most recently established usual residence in the country. The data for 2011 refer to the time span between 1 January 2011 and the reference date.
3.6. Statistical population
The year of arrival is the calendar year in which a person most recently established usual residence in the country. The data for 2011 refer to the time span between 1 January 2011 and the reference date.
3.7. Reference area
Internal coherence is assured by regulations defining breakdowns and definitions of topics (Regulation (EC) No 1201/2009, Regulation (EU) No 519/2010, Regulation (EU) No 1151/2010)
3.8. Coverage - Time
There are no particular reasons for data unreliability for this topic
3.9. Base period
No user satisfaction surveys are carried out. User inquiries are handled by the Eurostat User Support service.
1 March 2011
6.1. Institutional Mandate - legal acts and other agreements
Common reminder of EU legislation
6.1.1. Bodies responsible
Statistics Lithuania
6.2. Institutional Mandate - data sharing
Common reminder of EU legislation
7.1. Confidentiality - policy
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
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 2011 Census data Statistics Lithuania used table redesign (aggregation to the higher group level), post-tabular methods such as cell suppression and rounding.
8.1. Release calendar
Data are made available 27 months after the end of the reference period (March 2014)
8.2. Release calendar access
8.3. Release policy - user access
Statistical 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.
Counts of statistical units
10.1. Dissemination format - News release
Press releases were published according to an approved press release calendar. They are available on Official Statistics Portal.
10.2. Dissemination format - Publications
Lithuanian 2011 Population Census in Brief
Results of 2011 Population and Housing Census of the Republic of Lithuania
Report on the 2011 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
The Census microdata can be provided for use of scientific purposes only in such way that the respondents could not be directly identified by these data. Microdata are provided to the institution of science for scientific purposes only with prior signing of agreement on statistical data provision for scientific purposes with Statistics Lithuania.
10.5. Dissemination format - other
Census results were aggregated to the level of a grid and provided for users through a GIS application on the Official Statistics Portal.
10.6. Documentation on methodology
Not available.
10.7. Quality management - documentation
Not available.
11.1. Quality assurance
The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice. In 2007, a quality management system, conforming with the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania.
11.2. Quality management - assessment
11.2.1. Coverage assessment
The coverage assessment involved in few stages.
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The census database was searched for the duplicates. The results were used to estimate levels of overcount in the census.
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Households and individuals estimated to have been missed by the census were imputed onto the 2011 Census database.
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To ensure the Census results quality demographic analysis, survey data, qualitative information and administrative data were used.
11.2.2. Post-enumeration survey(s)
Post-enumeration survey was not conducted.
12.1. Relevance - User Needs
No user satisfaction surveys are carried out. User inquiries are handled by the Eurostat User Support service.
12.2. Relevance - User Satisfaction
No user satisfaction surveys are carried out. User inquiries are handled by the Eurostat User Support service.
12.3. Completeness
No user satisfaction surveys are carried out. User inquiries are handled by the Eurostat User Support service.
13.1. Accuracy - overall
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. Overall accuracy - Type of heating
There are no particular reasons for data unreliability for this topic
13.1.36. Overall accuracy - Type of building
There are no particular reasons for data unreliability for this topic
13.1.37. Overall accuracy - Period of construction
There are no particular reasons for data unreliability for this topic
13.2. Sampling error
13.3. Non-sampling error
15.1. Comparability - geographical
The statistical information is comparable across the EU.
15.2. Comparability - over time
15.3. Coherence - cross domain
The census data disseminated by Eurostat are addressed to policy makers, researchers, media and the general public.
15.4. Coherence - internal
The census data disseminated by Eurostat are addressed to policy makers, researchers, media and the general public.
Funds for the Census were allocated from the State budget. Over 2007–2013, LTL 29.7 million was used for the Census. The major part of the funds was allocated for Census workers’ (enumerators’, supervisors’, census division heads’) remuneration. The 2011 Census cost, on average, LTL 9.7, or EUR 2.8, per capita (in 2001, LTL 9.5, or EUR 2.7).
2.4 million € was refunded to the State Budget. This was mostly due to the e-Census. It was planed that only 5 per cent of population will participate in e-Census, while the final results showed that 34 per cent of popualtion participated in e-Census
17.1. Data revision - policy
17.2. Data revision - practice
The final results are published and they are not revised after publishing.
18.1. Source data
18.1.1. List of data sources
18.1.1.1. List of data sources - data on persons
The statistical data sources used for the 2011 population and housing census were:
• Census questionnaire
Administrative data sources:
• Address Register of the Republic of Lithuania;
• Residents’ Register of the Republic of Lithuania;
• Real Estate Register of the Republic of Lithuania;
• Registers of pupils and students;
• Statistical Register of Economic Entities (Statistical Business Register);
• Database of the State Social Insurance Fund Board (Sodra);
• Data of the National Health Insurance Fund and the Lithuanian Labour Exchange.
18.1.1.2. List of data sources - data on households
The statistical data sources used for the 2011 population and housing census were:
• Census questionnaire
Administrative data sources:
• Address Register of the Republic of Lithuania;
• Residents’ Register of the Republic of Lithuania.
18.1.1.3. List of data sources - data on family nuclei
The statistical data sources used for the 2011 population and housing census were:
• Census questionnaire
Administrative data sources:
• Address Register of the Republic of Lithuania;
• Residents’ Register of the Republic of Lithuania.
18.1.1.4. List of data sources - data on conventional dwellings
The statistical data sources used for the 2011 population and housing census were:
• Census questionnaire
Administrative data sources:
• Address Register of the Republic of Lithuania;
• Residents’ Register of the Republic of Lithuania;
• Real Estate Register of the Republic of Lithuania.
18.1.1.5. List of data sources - data on living quarters
The statistical data sources used for the 2011 population and housing census were:
• Census questionnaire
Administrative data sources:
• Address Register of the Republic of Lithuania;
• Residents’ Register of the Republic of Lithuania;
• Real Estate Register of the Republic of Lithuania.
18.1.2. Classification of data sources
18.1.2.1. Classification of data sources - data on persons
05.Combination of register-based censuses and conventional censuses18.1.2.2. Classification of data sources - data on households
05.Combination of register-based censuses and conventional censuses18.1.2.3. Classification of data sources - data on family nuclei
05.Combination of register-based censuses and conventional censuses18.1.2.4. Classification of data sources - data on conventional dwellings
05.Combination of register-based censuses and conventional censuses18.1.2.5. Classification of data sources - data on living quarters
05.Combination of register-based censuses and conventional censuses18.2. Frequency of data collection
Counts of statistical units
18.3. Data collection
The Census questionnaire was prepared by the specialists of the Population Census and Survey Organisation Division of Statistics Lithuania, following Regulation (EC) No 763/2008 of 9 July 2008 of the European Parliament and of the Council on population and housing censuses, the recommendations of the United Nations Economic Commission for Europe (UNECE) and the Statistical Office of European Union (Eurostat) on the 2010 population and housing censuses, national user needs, and comparability with the 2001 Census data.
A preliminary Census database was prepared, i.e., based on the main national administrative data sources, personal data on the individuals who had declared their place of residence in the enumeration districts, their dwelling characteristics were formed.
To carry out the Census, 6013 Census workers were hired (4881 enumerators, 972 supervisors, 160 Census division heads).
The Census started on 1 March 2011. It was conducted in two stages:
1. On 1–16 March 2011, individuals could fill in an e-Census questionnaire and submit their data via the Internet;
2. On 5 April–9 May 2011, a population enumeration took place: enumerators were visiting dwellings and filling in Census questionnaires.
Data processing took place at Statistics Lithuania for 9 months (from 1 July 2011 to 30 March 2012). Data scanning and verification was finished by December 2011. After Census questionnaires had been scanned and the symbol recognition stage was finished, the data identification, editing, coding, dublicate record elimination, logical checking and imputation of missing values was performed. Above mentioned data processing stage was finished by March 2012.
18.4. Data validation
Programmed checks were made on census data entry program. Single-variable, cross-variable and multi-case checking rules were created. 14 occupation encoders, 14 economic activity encoders, 2 other indicator encoders, 10 editing operators, 10 identifiers were trained to work with respective functions.
The analysis of changes in the results obtained was made, the reasons for significant changes were identified. The aritmetical and logical control of the primary statistical data were performed. Census variables were compared with external data sources. An aggregated statistical data was compared with those from the previous census, other surveys carried out by Statistics Lithuania, administrative data. The final census results were verified and validated by the experts of Census division.
18.5. Data compilation
For Census questionnaire scanning and symbol recognition, 23 workstations were equipped at Statistics Lithuania, where 6 scanning and 40 symbol recognition operators were working. OCR templates were prepared using ABBYY FlexiCapture 9.0 tools. The software for the recognition of manually entered data was created. The Census questionnaire had about 400 recognisable fields. After Census questionnaires had been scanned, symbol recognition operators checked the symbols recognised against the data entered into the Census questionnaires and corrected the symbols, when needed. Data scanning lasted 7 months, symbol recognition – 6 months.
After the symbol recognition stage, data were coded, corrected, identified, automatic entry of identified data was performed. Data were encoded using classifications, coding manuals and dictionaries. Information was encoded automatically only when it tallied with the information provided in manuals and dictionaries. 99 per cent of wards, 95 per cent of populated localities, 90 per cent of streets, and 24 per cent of occupations were encoded automatically.
After the encoding of data on individuals was finalised, the identification of buildings/dwellings and individuals was performed. Buildings/dwellings were identified according to building/dwelling address, individuals – according to personal number, name, surname, date of birth or address of the place of residence. When buildings/dwellings and individuals had been identified, information on temporarily present persons was arranged, and repeating data on addresses and individuals were removed. Data on temporarily present persons were relocated according to the address of the usual place of residence indicated by the individual.
The specialists of Statistics Lithuania performed the imputation of missing values. To ensure data quality, mathematical methods were used. 1.45 per cent of entries were imputed for the following indicators: place of birth, education, sources of livelihood, year of construction of the building, useful floor area of the dwelling, number of rooms, kitchen, conveniences, water supply, sewage disposal, main type of heating.
18.6. Adjustment
There are no particular reasons for data unreliability for this topic
6 February 2014
The year of arrival is the calendar year in which a person most recently established usual residence in the country. The data for 2011 refer to the time span between 1 January 2011 and the reference date.
The year of arrival is the calendar year in which a person most recently established usual residence in the country. The data for 2011 refer to the time span between 1 January 2011 and the reference date.
Internal coherence is assured by regulations defining breakdowns and definitions of topics (Regulation (EC) No 1201/2009, Regulation (EU) No 519/2010, Regulation (EU) No 1151/2010)
1 March 2011
No user satisfaction surveys are carried out. User inquiries are handled by the Eurostat User Support service.
For Census questionnaire scanning and symbol recognition, 23 workstations were equipped at Statistics Lithuania, where 6 scanning and 40 symbol recognition operators were working. OCR templates were prepared using ABBYY FlexiCapture 9.0 tools. The software for the recognition of manually entered data was created. The Census questionnaire had about 400 recognisable fields. After Census questionnaires had been scanned, symbol recognition operators checked the symbols recognised against the data entered into the Census questionnaires and corrected the symbols, when needed. Data scanning lasted 7 months, symbol recognition – 6 months.
After the symbol recognition stage, data were coded, corrected, identified, automatic entry of identified data was performed. Data were encoded using classifications, coding manuals and dictionaries. Information was encoded automatically only when it tallied with the information provided in manuals and dictionaries. 99 per cent of wards, 95 per cent of populated localities, 90 per cent of streets, and 24 per cent of occupations were encoded automatically.
After the encoding of data on individuals was finalised, the identification of buildings/dwellings and individuals was performed. Buildings/dwellings were identified according to building/dwelling address, individuals – according to personal number, name, surname, date of birth or address of the place of residence. When buildings/dwellings and individuals had been identified, information on temporarily present persons was arranged, and repeating data on addresses and individuals were removed. Data on temporarily present persons were relocated according to the address of the usual place of residence indicated by the individual.
The specialists of Statistics Lithuania performed the imputation of missing values. To ensure data quality, mathematical methods were used. 1.45 per cent of entries were imputed for the following indicators: place of birth, education, sources of livelihood, year of construction of the building, useful floor area of the dwelling, number of rooms, kitchen, conveniences, water supply, sewage disposal, main type of heating.
Counts of statistical units
The data for the HC01-HC60 were transmitted on 31 March 2013.
The statistical information is comparable across the EU.
