Everyone counts : a guide to point-in-time counts in Canada.: Em12-9/2017E-PDF

"This guide was developed by Employment and Social Development Canada. It is intended to provide guidelines to communities that wish to align with the Homelessness Partnering Strategy (HPS) Coordinated Point-in-Time (PiT) Count. It includes the standards for participation, the Core Screening and Survey questions that are used across participating communities, as well as guidelines for implementing a PiT count. The guidelines in this document were developed through a review of PiT count practices used across Canada and internationally, and with input from communities, including the HPS PiT Count Working Group. It builds on the existing work on PiT counts by the Canadian Observatory on Homelessness (COH) as well as the Department of Housing and Urban Development (HUD) in the United States. In this 2nd edition of the Guide, the standards, Core Screening and Survey Questions and guidelines have all been updated based on feedback from communities that participated in the 2016 Coordinated PiT Count, as well as the National PiT Count Working Group"--About this guide, p. 2.

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Publication information
Department/Agency Canada. Employment and Social Development Canada.
Title Everyone counts : a guide to point-in-time counts in Canada.
Variant title At head of title : Homelessness Partnering Strategy
Guide to point-in-time counts in Canada
Publication type Monograph
Language [English]
Other language editions [French]
Earlier edition Guide to point-in-time counts in Canada of the Homelessness Partnering Strategy
Format Electronic
Electronic document

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Note(s) Title from cover.
Issued also in HTML format.
Issued also in French under title: Tout le monde compte : un guide sur les dénombrements ponctuels au Canada.
Publishing information [Gatineau, QC] : Employment and Social Development Canada, c2017.
Description 31 p.
ISBN 978-0-660-07520-4
Catalogue number
  • Em12-9/2017E-PDF
Departmental catalogue number SSD-181-02-17E
Edition 2nd ed.
Subject terms Homelessness, Statistical analysis

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