Management of housing stock
Data on management of housing stock are compiled with an aim to acquire information on management and rent of residential buildings.
The hire of the living premises is composed of:
- The part of the residential dwelling management expenditure, which is proportional to the floor space of the living premises;
The management expenditure consists of:
- Expenditure necessary to maintain the residential house (dwelling sanitary and technical maintenance, payments for the management and service stuff);
- Residential dwelling depreciation (amortization) transfers for the renovation of the building fixed in the regulatory enactments;
- Obligatory payments fixed by the law (Real Estate tax, etc.);
- The rental for the usage of the land, if the residential dwelling is located on land owned by other person.
The housing stock includes single-dwelling residential buildings, residential premises in multi-dwelling residential buildings and residential premises in non-residential buildings.
Income from housing stock management is generated from payments for the maintenance of residential buildings (sanitary maintenance, technical services, maintenance of the administrative and service staff), depreciation deductions for the renovation of the building as well as mandatory payments prescribed by the law).
The rent of living premises is the transfer of the rights to use the living premises on charge to the other person.
The rights to use the living premises to the other person can be transferred by the owner or manager of the living premises, as well as by the self-government, if the person has obtained the living area on legal bases in compliance with the law "On the help in the solution of the housing questions".
The subject of the hire contract can be separate dwelling, part of the dwelling or residential house. A part of the dwelling or room giving access to another, as well as the auxiliary premises (kitchen, passageway, storeroom etc.) cannot be the separate subject of the hire contract.
Dissemination format and Release calendar
Data on management of housing stock are compiled by using:
- Classification of the Administrative Territories and Territorial Units (CATTU);
- Classification of Types of Constructions.
Classifications are available on RAMON Eurostat's Metadata Server.
Customised data sets
If you would like to obtain statistical data that are not available in publications or in the CSB online data base, please send us an information request:
- postal mail: 1 Lāčplēša Street, Riga, Latvia, LV-1301;
- e-mail: info [at] csb [dot] gov [dot] lv;
- visiting Information centre.
Survey method and source data
Data on management of housing sock are acquired by compiling data of the CSB report form 5-housing stock "Survey on management of housing stock".
Enterprises managing own, rented or supervised housing stock are selected from the population.
- Key indicators are "Income from management of residential premises" and "Rent of residential premises";
- Survey covers enterprises managing housing stock exceeding 100 square meters and housing stock management turnover of which exceeds EUR 1423 (in Riga – EUR 7114) per year;
- Sample ensures coverage at breakdown by statistical region.
Housing stock management income are calculated by dividing the total income from management of housing stock with annual average area of housing stock.
Data are not adjusted after publishing.
Comparability over time
Data on management of housing stock are available since 2000.
Confidentiality of the information provided by respondents is protected by Section 18 of the Official Statistics Law stipulating rights and obligations of the Central Statistical Bureau and other state authorities producing official statistics.
Section 19 of the Official Statistics Law determines confidentiality exceptions. Read more
Contact person on methodology
Explanation of symbols
Less than half of the unit employed
Data not available or too uncertain for presentation
Figure not applicable because column headinng and stub line make entry impossible, absurd or meaningless
Data not released for confidentiality reasons
If data are absolute numbers
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