Homeless population estimates

This indicator presents available data at national level on the number of people reported by public authorities as homeless. Data are drawn from the OECD Questionnaire on Affordable and Social Housing (QuASH 2021, QuASH 2019, QuASH 2016) and other available sources. Overall, homelessness data are available for 36 countries (Table HC 3.1.1 in Annex I). Further discussion of homelessness can be found in the 2020 OECD Policy Brief, “Better data and policies to fight homelessness in the OECD”, available online (and in French). Discussion of national strategies to combat homelessness can be found in indicator HC3.2 National Strategies for combating homelessness. Comparing homeless estimates across countries is difficult, as countries do not define or count the homeless population in the same way. There is no internationally agreed definition of homelessness. Therefore, this indicator presents a collection of available statistics on homelessness in OECD, EU and key partner countries in line with definitions used in national surveys (comparability issues on the data are discussed below). Even within countries, different definitions of homelessness may co-exist. In this indicator, we refer only to the statistical definition used for data collection purposes. Detail on who is included in the number of homeless in each country, i.e. the definition used for statistical purposes, is presented in Table HC 3.1.2 at the end of this indicator. To facilitate comparison of the content of homeless statistics across countries, it is also indicated whether the definition includes the categories outlined in Box HC3.1, based on “ETHOS Light” (FEANTSA, 2018). Homelessness data from 2020, which are available for a handful of countries and cover at least part of the COVID-19 pandemic, add an additional layer of complexity to cross-country comparison. The homeless population estimate in this case depends heavily on the point in time at which the count took place in the year, the method to estimate the homeless (through a point-in-time count or administrative data, as discussed below), the existence, extent and duration of emergency supports introduced in different countries to provide shelter to the homeless and/or to prevent vulnerable households from becoming homeless (such as eviction bans). Where they are available, homeless data for 2020 are thus compared to data from the previous year in order to facilitate comparison with other countries.

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Additional Info

Field Value
Last Updated August 20, 2024, 15:20 (UTC)
Created November 22, 2023, 03:38 (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.
2021-05-27
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/HC3.1-Homeless-population.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/HC3-1-Homeless-population.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 27/05/2021
Source
Source of the dataset.
https://www.oecd.org/els/family/HC3.1-Homeless-population.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.
180
Number of data columns
If tabular dataset, total number of unique columns.
24
Number of data cells
If tabular dataset, total number of cells with data.
4,320
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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