Subjective measures on Housing

This indicator presents selected subjective measures based on poll survey data. The first set of measures presents reported levels of satisfaction with housing, whereas the second set presents reported measures of housing stress and housing insecurity. Housing standards can be subjective, and perceptions, as well as expectations, of the quality and affordability of housing and its environment can differ widely across individuals, countries and cultures. Perceptions of adequate housing may also depend on socio-demographic characteristics. For example, high-income households may have different and higher expectations in terms of housing quality than low-income households. Moreover, the perception of housing satisfaction is a dynamic process that can evolve over time (Satya Brink and Kathleen A. Johnston, (1979)). In all, an individual’s satisfaction with the area (s)he lives in is a subjective measure and there is no international definition that set out what an affordable house of good quality actually is (see Box 3. Conceptualising and measuring housing affordability from Balestra, C. and J. Sultan (OECD, 2013)). Subjective measures of housing can be an important complement to other measures of housing outcomes (OECD, 2013), and together can help better understand the determinants of housing satisfaction. In OECD countries, housing affordability is a main driver of residential satisfaction (Balestra, C. and J. Sultan (2013)). Neighbourhood characteristics, such as beauty, setting, access to public transport and the feeling of security, also exert a positive and significant effect on residential satisfaction. Overall, residential satisfaction has an important impact on people’s overall well-being.

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Additional Info

Field Value
Last Updated August 20, 2024, 13:17 (UTC)
Created November 15, 2023, 03:56 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Housing
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
.pdf - application/pdf, .xlsx - application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Dataset Size
Dataset size in megabytes.
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date
Published date of the dataset.
2022-01-07
Time Period Data Span (start date)
Start date of the data in the dataset.
2010-01-01
Time Period Data Span (end date)
End date of time data in the dataset.
2020-12-31
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
OECD member countries
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Open
Limits on use
Limits on use of data.
The OECD does not allow posting of PDF files of its Material on any Internet sites, but You are welcome to link to the Material and, whenever the version is available, to share and embed it, in whole or in part, without the need to request permission from the OECD. For specific terms and conditions, check: https://www.oecd.org/termsandconditions/
Location
Location of the dataset.
https://www.oecd.org/social/family/HC1.4-Subjective-Measures-on-Housing.xlsx
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
OECD
Contact Point
Who to contact regarding access?
https://www.oecd.org/contact/#
Publisher
Publisher of the dataset.
OECD
Publisher Email
Email of the publisher.
Tel.: +33 1 45 24 82 00 ; Fax: +33 1 45 24 85 00
Accessed At
Date the data and metadata was accessed.
2023-11-14
Field Value
Identifier
Unique identifier for the dataset.
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://www.oecd.org/social/HC1-4-Subjective-Measures-on-Housing.pdf
Persistent Identifier
Data is identified by a persistent identifier.
Yes
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
No
Contains data about individuals
Does the data hold data about individuals?
No
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
No
Contains Indigenous Data
Does the data hold data about Indigenous communities?
N/A
Field Value
Version
Version of the datatset
LAST UPDATED 01/07/2022
Source
Source of the dataset.
https://www.oecd.org/housing/data/affordable-housing-database/housing-conditions.htm
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
Other versions
Link to datasets that are versions of it.
Provenance Text
Provenance Text of the data.
Provenance URL
Provenance URL of the data.
Temporal resolution
Describes how granular the date/time data in the dataset is.
Annually
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
OECD member countries
Field Value
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission
Community permission (who gave permission).
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Field Value
Number of data rows
If tabular dataset, total number of rows.
530
Number of data columns
If tabular dataset, total number of unique columns.
170
Number of data cells
If tabular dataset, total number of cells with data.
1750
Number of data relations
If RDF dataset, total number of triples.
Number of entities
If RDF dataset, total number of entities.
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
Data quality
Describes the quality of the data in the dataset.
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.

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