Statistikk innhold
Statistics on
Housing conditions, register-based
The statistics provide an overview of the housing conditions of all persons and households in Norway. This includes, among other things, homeownership, overcrowding, building type, and accessibility.
Selected figures from these statistics
- Households by tenure status and crowded dwelling, per cent and number.Download table as ...Households by tenure status and crowded dwelling, per cent and number.1
Households (per cent) Number of households 2024 - 2025 2024 - 2025 2024 2025 2025 Change in number Percentage change Tenure status Owner 72.6 72.7 1 896 754 20 021 1.1 Freeholder 59.2 59.2 1 545 334 14 664 1.0 Part- / share holder 13.4 13.5 351 420 5 357 1.5 Tenant 27.4 27.3 713 623 5 839 0.8 Crowded dwelling Live in crowded dwelling, few rooms and sq.m. 6.6 6.6 172 942 1 140 0.7 Live in spacious dwelling, many rooms and sq.m. 89.0 89.0 2 323 427 24 310 1.1 Unknown 4.4 4.4 113 984 410 0.4 1The statistics were revised on September 14, 2026. All tables have been updated for the period 2015-2025. Explanation of symbolsDownload table as ... - Households by tenure status and countyDownload table as ...Households by tenure status and county1
2025 Total Freeholder Part- / share holder Tenant Tenants (per cent) The whole country 2 610 377 1 545 334 351 420 713 623 27.3 Østfold 146 175 86 009 21 954 38 212 26.1 Akershus 315 160 211 236 27 971 75 953 24.1 Oslo - Oslove 355 771 125 513 110 045 120 213 33.8 Innlandet 185 063 120 874 14 849 49 340 26.7 Buskerud 126 434 75 887 16 308 34 239 27.1 Vestfold 121 483 73 202 16 925 31 356 25.8 Telemark 85 421 50 531 14 000 20 890 24.5 Agder 148 810 101 436 9 566 37 808 25.4 Rogaland 220 385 148 756 17 842 53 787 24.4 Vestland 305 404 182 394 39 148 83 862 27.5 Møre og Romsdal 125 169 85 367 8 410 31 392 25.1 Trøndelag - Trööndelage 238 130 138 439 30 613 69 078 29.0 Nordland - Nordlánnda 117 988 74 050 12 887 31 051 26.3 Troms - Romsa - Tromssa 82 872 49 161 8 613 25 098 30.3 Finnmark - Finnmárku - Finmarkku 36 112 22 479 2 289 11 344 31.4 1The statistics were revised on September 14, 2026. All tables have been updated for the period 2015-2025. Explanation of symbolsDownload table as ... - Households by crowded dwelling and countyDownload table as ...Households by crowded dwelling and county
2025 2025 2025 2025 Live in crowded dwelling, few rooms and sq.m. Live in spacious dwelling, many rooms and sq.m. Unknown Number of households The whole country 6.6 89.0 4.4 2 610 353 Østfold 5.0 89.6 5.3 146 176 Akershus 6.4 88.5 5.0 315 158 Oslo - Oslove 13.8 83.0 3.2 355 771 Innlandet 4.4 92.0 3.7 185 073 Buskerud 5.5 89.6 4.9 126 437 Vestfold 4.3 89.2 6.4 121 480 Telemark 4.4 91.5 4.1 85 417 Agder 4.6 91.1 4.3 148 807 Rogaland 4.6 91.0 4.4 220 371 Vestland 6.2 89.5 4.3 305 416 Møre og Romsdal 4.8 91.7 3.5 125 163 Trøndelag - Trööndelage 7.0 88.1 4.8 238 121 Nordland - Nordlánnda 5.3 90.8 3.9 117 980 Troms - Romsa - Tromssa 6.0 90.1 3.9 82 865 Finnmark - Finnmárku - Finmarkku 5.7 89.9 4.4 36 118 Explanation of symbolsDownload table as ... - Households by type of building and countyDownload table as ...Households by type of building and county1
2025 Dwellings total Detached house House with two dwellings Row house, linked house and house with 3 or 4 dwellings Multi-dwelling building Other residential building Unknown type of building The whole country 2 610 411 1 204 283 224 305 313 463 675 353 112 933 80 074 Østfold 146 174 72 820 15 731 20 348 26 407 5 287 5 581 Akershus 315 162 134 866 29 802 46 635 82 793 10 032 11 034 Oslo - Oslove 355 767 27 618 20 558 31 177 250 092 17 195 9 127 Innlandet 185 079 123 062 14 120 15 215 19 148 9 072 4 462 Buskerud 126 436 65 816 12 911 14 450 24 424 5 297 3 538 Vestfold 121 483 61 300 11 473 17 453 20 397 6 139 4 721 Telemark 85 412 52 572 6 502 9 139 10 783 4 115 2 301 Agder 148 824 85 932 11 127 17 344 22 195 7 413 4 813 Rogaland 220 383 114 830 22 210 29 661 39 467 7 559 6 656 Vestland 305 421 144 391 24 033 40 337 76 171 10 794 9 695 Møre og Romsdal 125 158 73 045 13 669 16 553 13 424 5 946 2 521 Trøndelag - Trööndelage 238 126 107 315 20 835 28 175 59 585 13 407 8 809 Nordland - Nordlánnda 118 001 71 169 10 554 13 227 14 376 5 384 3 291 Troms - Romsa - Tromssa 82 865 47 081 6 957 9 539 13 365 3 439 2 484 Finnmark - Finnmárku - Finmarkku 36 120 22 466 3 823 4 210 2 726 1 854 1 041 1The statistics were revised on September 14, 2026. All tables have been updated for the period 2015-2025. Explanation of symbolsDownload table as ... - Persons by the households tenure status and countyDownload table as ...Persons by the households tenure status and county
2025 Total Freeholder Part- / share holder Tenant Tenant (per cent) The whole country 5 490 986 3 693 918 627 745 1 169 323 21.3 Østfold 308 238 205 365 36 128 66 745 21.7 Akershus 712 106 523 896 54 360 133 850 18.8 Oslo - Oslove 697 129 289 341 215 585 192 203 27.6 Innlandet 373 575 271 937 22 862 78 776 21.1 Buskerud 265 722 179 725 28 069 57 928 21.8 Vestfold 253 589 174 300 27 233 52 056 20.5 Telemark 175 018 118 356 22 422 34 240 19.6 Agder 317 340 241 352 14 804 61 184 19.3 Rogaland 493 142 369 080 30 890 93 172 18.9 Vestland 653 066 447 668 70 697 134 701 20.6 Møre og Romsdal 267 761 204 479 12 483 50 799 19.0 Trøndelag - Trööndelage 491 714 330 608 53 746 107 360 21.8 Nordland - Nordlánnda 240 559 171 058 20 079 49 422 20.5 Troms - Romsa - Tromssa 168 152 114 484 14 649 39 019 23.2 Finnmark - Finnmárku - Finmarkku 73 875 52 269 3 738 17 868 24.2 Explanation of symbolsDownload table as ...
About the statistics
The information under «About the statistics» was last updated 10 September 2026.
Person
The statistics include all persons who, according to the National Population Register, were registered as residents of a private household (see separate definition) in Norway on 1 January and who can be linked to a dwelling. Who is regarded as a resident of Norway and where a person shall be registered as residing is stipulated in the Population Registration Act of 16 January 1970 (with subsequent amendments) and the associated regulations from 1994. The total number of residents in an area is referred to as the population.
Persons are excluded from the housing conditions statistics for three reasons:
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Persons registered in Norway but residing abroad. Students who are registered as living with their parents while studying abroad are not included. In addition, some persons residing outside mainland Norway (on Svalbard or in military and foreign service) are excluded when other persons are registered as living in their dwelling in Norway.
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Persons who are not living in a private household. This group has a relatively high average age, and most reside in institutions such as nursing homes. It also includes persons with no fixed address and persons with a strictly confidential protected address.
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In the Housing Conditions Register, persons who cannot be linked to a dwelling are also excluded. As of 1 January 2025, approximately 64,000 persons, or 1 per cent of all residents, were removed from the population for this reason. More information about the linkage between households and dwellings is provided under Production.
Household
A household consists of persons living in the same dwelling.
The statistics cover private households, meaning persons living in the same private dwelling and not in an institution. The construction of households is described in more detail under Production. Households may consist of one or more families. Persons belonging to the same family also belong to the same household. We first determine which persons belong to the same household and subsequently identify which members of the household belong to the same family.
Dwelling
A dwelling is defined as one or more rooms that has been built or rebuilt for the purpose of being used as a round-the-year dwelling for one or more persons. It must be possible to have access to the room (-s) without having to go through another dwelling. Both dwelling units and single rooms are counted as dwellings. A dwelling unit is a conventional dwelling with at least one room and kitchen. Single rooms are living quarters with separate entrance and with access to water and toilet outside other living quarters.
The statistics include dwellings that have been assigned to a household based on the residents' registered address and additional statistical matching procedures, described in more detail under “Production”. Consequently, the number of dwellings in the Housing Conditions Statistics is lower than in Statistics Norway's dwelling statistics.
Tenure status
Shows the household's ownership status of the dwelling.
Owners include both freeholders and households owning through a housing cooperative or housing company. A household is classified as owner-occupying if at least one member of the household is registered as owning the dwelling in the Cadastre (Matrikkelen), the Norwegian Tax Administration's property register, or in their personal tax return. If none of the residents are registered as owners, the household is classified as renting the dwelling.
Crowded dwelling
This measure combines information on the number of persons, rooms and square metres in a dwelling to determine whether a household is living in crowded conditions.
The household's room requirement is calculated on the assumption that it should have access to one shared living room and a sufficient number of bedrooms, defined as one bedroom per person or one bedroom per couple.
A household is considered crowded if:
- The number of rooms in the dwelling is lower than the household's calculated room requirement; and
- The dwelling's P-area is less than 25 square metres per person.
If information on either the number of rooms or the P-area is missing, the household is considered crowded if at least one of the two conditions is met.
Number of rooms in the dwelling
Kitchens, bathrooms, storage rooms, entrance halls, corridors and similar rooms are not counted. A room must satisfy the requirements for habitable rooms under building regulations and must be at least 6 square metres.
P-area
Floor area within enclosing walls, according to Norwegian Standard NS 3940, for rooms used for short-term or long-term occupation (P-rooms).
From 2024 onwards, the concept of P-room has been discontinued. Where information on P-area is unavailable, including for some newly built dwellings, P-area is estimated from usable floor space using an adjustment factor.
Households with an uncertain dwelling linkage are assigned the value "not specified" for both number of rooms and P-area.
Type of building
Determined according to the building's primary function. Combined buildings, such as residential and commercial buildings, are classified according to the function occupying the largest share of the building's usable floor space.
The building types are aggregated from the more detailed classification used in the Cadastre (Matrikkelen).
Detached house
Includes detached houses and farmhouses.
Two-dwelling house
Includes both vertically and horizontally divided two-dwelling houses.
Terraced house, linked house and other small houses
Includes terraced houses, linked houses, atrium houses, terrace houses and other small houses containing three or more dwellings.
Block of flats
Includes apartment blocks and multi-storey residential buildings with at least two floors.
Other building type
Includes building types not covered by the other categories. Buildings intended for communal living, such as student housing, and residential care institutions are included in this group.
Unspecified building type
Households with an uncertain dwelling linkage are assigned the value "not specified".
Year of construction
The year of construction is the year when the building was ready for occupancy. The information is based on multiple sources, including the Cadastre (Matrikkelen), SEFRAK, SERG, FINN.no and population censuses.
In buildings with multiple dwellings where occupancy occurred gradually, the year of construction is defined as the year when at least half of the dwellings were ready for occupancy.
For renovated buildings, the original year of construction is used. For dwellings located in extensions where information is registered only on the extension itself, the year of construction of the extension is used.
Unspecified year of construction
In addition to households lacking information on year of construction, households with an uncertain dwelling linkage are assigned the value "not specified".
Access to an elevator
This variable indicates whether an elevator is installed in the building when the building has more than one floor, and which floor the household occupies.
Passenger elevators are included, while freight elevators and stair lifts installed in detached houses are excluded.
Number of floors in the building
The number of floors is determined from the floor information registered for the building.
Location (floor) within the building
The floor code in the dwelling number identifies the floor on which the dwelling entrance is located.
Unspecified access to an elevator
Households with an uncertain dwelling linkage are assigned the value "not specified".
Child
A child is defined as any person with no partner and no own children, who has de jure place of usual residence in the household of at least one of their parents. A child is either biological or adopted. A foster child is not considered a child in this statistics.
Immigrant
Persons who have immigrated to Norway and who were born abroad to two foreign-born parents and four foreign-born grandparents. Country of birth is primarily determined by the mother's place of residence at the time of birth.
The statistics distinguish between:
- Immigrants from the Nordic countries excluding Norway, EU/EFTA countries, the United Kingdom, the United States, Canada, Australia and New Zealand.
- Immigrants from Europe outside the EU/EFTA and the United Kingdom, Africa, Asia, America excluding the United States and Canada, Oceania excluding Australia and New Zealand, and polar regions.
Equivalised income
The household's total income after tax divided by the number of consumption units in the household.
To compare income levels after tax between persons living in different types of households, as an approximation of economic well-being, it is common to take both household income and household size into account. This is done by dividing the household's total income after tax by the number of consumption units in the household.
The number of consumption units is calculated using equivalence scales. These scales take into account both that larger households need a higher income than smaller households to achieve the same standard of living and that larger households benefit from economies of scale in the consumption of goods and services such as televisions, washing machines, newspapers, broadband subscriptions and electricity. Several equivalence scales are used for different purposes. In the income and wealth statistics, the EU equivalence scale is used.
Under this scale, the first adult in the household is assigned a weight of 1.0, each additional adult a weight of 0.5, and each child below the age of 17 a weight of 0.3. According to this scale, a household consisting of two adults and two children must have an income 2.1 times higher than that of a single-person household in order to have the same economic well-being.
Income quartiles
All households are divided into four equally sized groups according to their equivalised income (see definition above). The lowest quartile consists of the quarter of households with the lowest equivalised income. The second quartile consists of the quarter with the second lowest equivalised income. The third quartile consists of the quarter with the second highest equivalised income, and the highest quartile consists of the quarter with the highest equivalised income.
Low income, 60 per cent
All households with an equivalised income below 60 per cent of the median income. The median income is the value at the midpoint of the income distribution when equivalised income for the entire population is ranked in ascending or descending order. Thus, there are as many persons with a higher income as there are persons with a lower income.
Recipients of housing allowance
Households that received housing allowance from the Norwegian State Housing Bank during the income year.
Recipients of social assistance
Households where the main income earner received NOK 1,000 or more in social assistance during the income year.
Total income
The sum of employment income, capital income, taxable transfers and tax-free transfers received during the calendar year. Assessed taxes and other negative transfers are not deducted.
Recipients of National Insurance benefits
Households where the main income earner received more than half of their total income from the National Insurance Scheme. Figures are presented separately for households where the main income earner is below 67 years of age and 67 years of age or older. The latter group is dominated by recipients of old-age pensions.
High debt burden
Households with total debt equal to or greater than three times the household's total income.
Name: Housing conditions, register-based
Topic: Construction, housing and property
Division for Income and social welfare statistics
National and county levels. Most statistics are published for municipalities. Some tables are only available for municipalities with at least 10,000 inhabitants. Some tables also provide figures for boroughs in the four largest cities..
Annually. The statistics are registered on 1 January. For release dates, see the statistics release calendar.
Collected and revised data are stored securely by Statistics Norway in compliance with applicable legislation on data processing.
Statistics Norway can grant access to the source data (de-identified or anonymised microdata) on which the statistics are based, for researchers and public authorities for the purposes of preparing statistical results and analyses. Access can be granted upon application and subject to conditions. Refer to the details about this at Access to data from Statistics Norway.
The purpose of the statistics is to provide an overview of the housing conditions of persons and households registered as residents in Norway and to make it possible to monitor changes over time. The statistics also provide a basis for analysing differences in housing conditions across population groups. A key reason for establishing the statistics was to enable the publication of statistics at a detailed geographical level and to provide detailed breakdowns by characteristics of persons and households. The statistics were first published in 2016, covering data for 2015. The Ministry of Local Government and Regional Development has contributed funding for the development of the statistics.
The main users are ministries, directorates and researchers studying housing conditions or living conditions in general. Counties and municipalities are also important users as the statistics can be presented at a detailed geographical level.
The statistics also give information to the media or others interested in the state and development of the population’s housing conditions.
No external users have access to statistics before they are released at 8 a.m. on ssb.no after at least three months’ advance notice in the release calendar. This is one of the most important principles in Statistics Norway for ensuring the equal treatment of users.
The tables are based on similar data used in the population and housing census 2011 and some of the indicators are comparable with data in the publication Population and housing census, dwellings. Tables cannot, however, be compared directly.
Some of the indicators are similar to those found in the statistics Housing conditions, survey on living conditions, which is based on a nationally representative survey. We have commented on the cases where definitions in these statistics differ from definitions in “Housing conditions, survey on living conditions” below.
The statistics are based on the same data sources as the statistics on Dwellings and the statistics on Families and households.
Corresponding and relevant documentation for indicators based on registered income can be found in the Income and wealth statistic for households.
The statistics are developed, produced and disseminated pursuant to Act no. 32 of 21 June 2019 relating to official statistics and Statistics Norway (the Statistics Act).
The statistics are part of the national program for official statistics, main area Construction, housing and property, sub-area Housing and living conditions.
The statistics cover all persons who are registered as residents of a private household in Norway on 1 January and who can be linked to a dwelling. This includes persons whose permanent place of residence is in Norway for at least six months and who have a valid residence permit. Persons who immigrated to Norway for employment for less than six months are not included in the statistics. For a more detailed description of who is considered a resident of Norway, see “Definitions, Definitions of the main concepts and variables, Person”.
In some cases, persons cannot be linked to a dwelling. These persons are excluded from the statistics.
All information is obtained from administrative and statistical registers. Most of the register data used are the same as those applied in other statistics produced by Statistics Norway. Within different statistical domains, Statistics Norway has established data systems referred to as statistical registers. These are based on one or more administrative data systems, either administrative registers maintained by other public authorities or administrative data collected by Statistics Norway.
Information from Statistics Norway’s household statistics and dwelling statistics is linked through address information in the Housing Conditions Register. As the Housing Conditions Register is based exclusively on administrative registers, uncertainties in data quality from these sources are also reflected in the statistics.
Population and household data
Data on persons, families and households are based on information from the National Population Register (DSF), the Cadastre (Matrikkelen) and the Central Coordinating Register for Legal Entities in Brønnøysund. For students receiving grants for living away from home but registered as residing with their parents, alternative addresses are additionally obtained from NRK, Norway Post and the Norwegian State Educational Loan Fund.
To produce statistics on households, the population register data are further processed by Statistics Norway. Information is also obtained from the Cadastre and the Central Coordinating Register for Legal Entities. From the Cadastre, information is collected on buildings assigned dwelling numbers and on building type. From the Central Coordinating Register for Legal Entities, information on the industrial classification of enterprises registered at addresses where residents are also registered is collected. These data are used to determine which persons belong to the same dwelling household and whether the household is a private household or another type of household (institutions, etc.).
To ensure complete coverage of households, extensive procedures for validation, editing and data processing have been developed. The objective is to determine which persons belong to the same couple, family and household. This is necessary because the source data contain weaknesses, particularly with respect to dwelling-number information in address records. Consequently, address information alone cannot be used to determine family and household composition.
For more detailed information, see About the statistics for Families and households.
Dwelling data
The statistics on dwellings are mostly based on information from Statistics Norway’s statistical version of the Ground Parcel, Address and Building Register (GAB), the SSB-GAB. The Norwegian Mapping and Cadastre Authority is responsible for the administration of the GAB. The municipalities provide the information on dwellings in the GAB based on applications from developers, owners and other applicants. Other data sources are used as a supplement for information on year of construction, utility floor space, bathrooms and toilets (WC). The most important sources are the Central Property Register (SERG), which is used for utility floor space and year of construction, the SEFRAK register (the Directorate for Cultural Heritage’s register of older buildings) and the Askeladden register (registers of older and protected buildings) for year of construction, and information on dwellings sold through finn.no. Information on some dwellings collected in the 2001 census is also used as supplementary data. Data from SERG and SEFRAK have been used from the 2012 reference year onwards. Data from Askeladden were first used in 2025.
Information on elevators is collected from registers kept by Nasjonalt installasjonsregister for løfteinnretninger (NIREG) from the 2022 reference year onwards. The following types of lifting devices are classified as elevators: "Passenger elevator", "Passenger and goods elevator" and "Lifting platform".
Information about type of ownership is found in data about sector codes and organisational structure from the Central Coordinating Register for Legal Entities and information about the owners’ address of residence is taken from FREG (Statistics Norway’s statistical version of the National Population Register).
Information on the number of residents in each dwelling from FREG is used for quality assurance of the dwelling population.
The statistics are based on a full census.
See About the statistics for Dwellings for more detailed information.
Income data
Data on income are obtained from the register-based income statistics, which have been based on a full census since 2004. Information on income and wealth is compiled by linking various administrative and statistical data sources for the entire population as of 31 December of the income year.
The reference date for the housing conditions statistics is 1 January, while the income year covers total income received during the preceding calendar year.
For additional information, see About the statistics for Income and wealth statistics for households.
Geographical information
Information on addresses for residents and dwellings is gathered from the address data in the Ground Parcel, Address and Building Register. This includes details of the basic statistical unit, the municipality etc. the address belongs to and whether the address is in a densely or sparsely populated area.
The statistics are only based on registers and there is no data collection, see “Data sources and sampling”. For further information about the matching process and uncertainty, see Notes 2026/17.
Register-based data utilized in statistics is controlled and to a greater or lesser extent revised. The variables that are not found in one specific administrative source are created by combining different register sources. Control and revision of the data is mainly done within the different areas of statistics.
Households
The household data is made according to the principles used in the household statistics. The procedure for creating a household is described in About the statistics for Families and households. A description of the procedure is also available in Coordinated statistics for households and dwellings. This report was published in 2011. Changes made after this are described in About the statistics for Families and households. The basic principle is that all persons registered at the same dwelling address in the National Population Register belong to the same household (see “Definitions of the main concepts and variables”).
Ownership
The data used to determine whether a household owns or rents a dwelling combines information from the Cadastre (Matrikkelen), SERG (the Tax Administration’s property register) and the National Population Register. SERG is used to identify personal ownership in housing cooperatives and housing share companies because ownership is registered to the company or organisation in the Cadastre. SERG is also used in cases where the taxpayer is not the registered owner and the registered owner is not living in the dwelling.
The household is registered as a freeholder when at least one of the residents is registered as the owner of the dwelling in the Cadastre. When at least one of the residents is registered as owner through a housing share company or has the right of occupation in SERG, the dwelling is regarded as owned through a housing cooperative or housing share company. When at least one of the residents reports a primary dwelling tax value for the dwelling in their personal tax return, the household is also regarded as owner-occupying. The household is registered as tenants if none of these criteria are met.
The method used to determine ownership status was revised in 2026. The background for the methodological revision is described in The Housing Conditions Register: Documentation and revision of the tenure status variable.
Consistency between private households and inhabited dwellings
In theory, the number of private households should be the same as the number of inhabited dwellings (see “Definitions of the main concepts and variables”). The principle is that residents and households are connected using the dwelling address. It was necessary to develop a method for coordination between household and dwelling data because of mistakes and missing values in the data, see Coordinated statistics for households and dwellings. The method gives reasonable estimates for households and inhabited dwellings, but not complete conformity between the two populations. Approximately 39,000 households were not matched with a dwelling as of 1 January 2025. They are not included in the statistics.
Dwellings
Some data is missing, especially for older dwellings. Because of this, supplementary information is collected from sources other than the Cadastre (Matrikkelen), and imputations are made for characteristics such as utility floor space, the number of rooms, the number of bathrooms and toilets. There are different routines for different types of buildings. For example, the number of rooms, bathrooms and toilets that occurs most frequently in a block of flats is imputed for dwellings in the same building where these data are missing.
The procedure is described in more detail in About the statistics for Dwellings.
Comparability: See Coherence with other statistics.
Interviewers and everyone who works at Statistics Norway have a duty of confidentiality. Statistics Norway has its own data protection officer.
Statistics Norway does not publish figures where there is a risk of identifying individual data about persons or households [enter the correct unit here, where applicable].
The rounding up/down method is used in these statistics to ensure this.
More information can be found on Statistics Norway’s website under Methods in official statistics, in the ‘Confidentiality’ section.
One of the goals of the statistics on housing conditions is to provide data for small geographical areas, but the statistics cannot provide information that can be traced back to specific individuals. It is therefore necessary to make sure that combinations of variables that only occur once or twice cannot be identified in the tables. Ones and twos in tables at the municipal level are therefore replaced randomly by 0 or 3. The numbers 0 and 3 also occur naturally, and it is not possible to differentiate between the two types of 0 and 3. The replacements are done in a way that minimises the possibility of influencing the numbers at a higher level of aggregation. Small deviations from the original figures will still occur. These deviations will generally be smaller than the deviations caused by the errors described in “Sources of error and uncertainty” and will not lessen the usefulness of the statistics. Minor discrepancies can occur when the same table is made based on two different matrices.
In terms of previously published statistics, the Population and housing census 2011 is the source that is most comparable to the statistics on housing conditions. Some changes have however been made in how households are constructed. Unmarried students registered as living at home were included in their parents’ household in the 2011 census. They are now registered as residents in a household closer to the place of study. Furthermore, one-person households living at the same address have now been combined into one household to a greater degree than previously. These changes have led to a decline in the number of households by 0.7 per cent. See About the statistics for Families and households for more information. This also includes information on the comparability with the household statistics. See About the statistic for Dwellings for the comparable information for the dwelling statistics.
See About the statistic for Dwellings for possible sources of errors in the data on dwellings.
See About the statistics for Families and households for possible errors in the data on persons and households.
For possible sources of error in the data in the Housing Conditions Register when these sources are linked together, see Boforholdsregisteret: Dokumentasjon og revisjon av eierstatus-variabel
In 2026, the statistics underwent a major revision of the entire time series back to 2015. The revision consisted of three main changes: (1) a new method for classifying tenure status, (2) improved disclosure of uncertainty through expanded use of the category “not specified”, and (3) an adjustment to the definition of overcrowding.
Boforholdsregisteret: Dokumentasjon og revisjon av eierstatus-variabel (Notat 2026/17)
Hvilke personer er ikke i boforholdsregisteret? (Notat 2022/6)
Samordnet statistikk for husholdninger og boliger (2012)
Dokumentasjon av registerbasert familie- og husholdningsstatistikk - årlig statistikk f.o.m. 2005, basert på folkeregistrert adresse per 1. januar. Notater (2009/54)
Utvikling av registerbasert boligstatistikk - status og videre arbeid. Notater (2008/51)