Severe housing deprivation

Different factors influence the quality of housing, and some households face a multiple of shortcomings in their dwelling. Too little space (see Indicator HC2.1) may coincide with a lack of basic sanitary facilities (see Indicator HC2.3), a leaking roof, a dwelling that is considered too dark, and/or other housing quality issues. In its most extreme form, housing deprivation becomes homelessness (see Indicator HC3.1). Housing deprivation in one or more dimensions is more likely to occur among the poor population and associated with poorer labour market, health and wellbeing outcomes (see, for example, Eurofound [2016] and Tunstall et al. [2013]). No agreed definition of (severe) housing deprivation exists across countries. Eurostat defines severe housing deprivation as the simultaneous occurrence of overcrowding, together with at least one of the following housing deprivation measures: a leaking roof, no bath/shower and no flushing toilet, or a dwelling considered too dark (Box 1). In the United Kingdom, barriers to housing and services are one of the seven domains that make up the "Index of Multiple Deprivation;" housing barriers measure the physical and financial accessibility of housing and local services, including both geographical barriers (which relate to the physical proximity of local services), as well as wider barriers (which include issues relating to access to housing such as affordability and homelessness) (Department of Communities and Local Governments, 2019). In this indicator, severe housing deprivation reflects the simultaneous occurrence of two measures of housing deprivation: overcrowding as well as the absence of a flushing toilet connected to a sewage system or septic tank (see Indicators HC2.1 and HC2.2 for a separate assessment of each condition). The rate of severe housing deprivation refers to the share of households or population concerned. Some differences in the definitions of overcrowding and access to a flushing toilet are observed across surveys; these are discussed under Data and comparability issues, below.

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Additional Info

Field Value
Last Updated August 20, 2024, 13:37 (UTC)
Created November 22, 2023, 03:30 (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.
2022-08-07
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/els/family/HC2.3-Severe-housing-deprivation.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.
2023-11-21
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/els/family/HC2-3-Severe-housing-deprivation.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 08/07/2022
Source
Source of the dataset.
https://www.oecd.org/els/family/HC2.3-Severe-housing-deprivation.xlsx
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.
300
Number of data columns
If tabular dataset, total number of unique columns.
43
Number of data cells
If tabular dataset, total number of cells with data.
12900
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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