1. 2016 Annual Homeless Assessment Report (AHAR)

2. AHAR (2016) Orientation
Overview of the Data Collection and Submission Process for the Annual Homeless Assessment Report

3. Agenda Overview of AHAR data scope, reporting categories and timelines
Preparation for generating and submitting
AHAR data
Families and Singles in Shelters
Families and Singles in TH Projects
Families and Singles in PSH Projects

4. AHAR Data Reported HUD Report to Congress based on:
Data Generated from HMIS . . .
Housing Inventory Data
Universal Data Elements
Household Data
Participating Program Types:
Emergency Shelter, Transitional Housing and Permanent Supportive Housing (excluding HARP/HCV unless supportive services are directly provided by the housing program).
Data Entered on the Homelessness Data Exchange (HDX)

5. AHAR Reporting Categories
Unduplicated All Persons and Veterans-Only client data in the following program categories:
ES–FAM: Persons in families served by Emergency Shelters
ES–IND: Individuals served in Emergency Shelters
TH–FAM: Persons in families served by Transitional Housing providers
TH-IND: Individuals served in Transitional Housing programs
PSH FAM and IND – Includes S+C; HARP (HCV) programs are not included unless supportive services are directly provided by housing program.
Data Summary: Aggregate data from the reporting categories above.

6. AHAR 2016 Timelines Data Collection Period: 10/01/15 – 9/30/16
All Persons Data:
Draft Submission – October 31, 2016
Final Deadline – December 1, 2016 [Extended to December 8, 2016]
Veterans-Only Data:
HUD Publication: ~ Spring/Summer 2017

7. About Coverage & Data Quality . . .
Bed Coverage: CoCs must have at least 50% HMIS bed coverage in at least one AHAR reporting category
Bed Utilization: Accurate provider bed counts and timely entry/exits for all clients served during the AHAR reporting period are essential . . .
Missing entries result in an under-count of persons served; this and/or higher than accurate bed counts result in low bed utilization rates (65% or under = usability error on HDX)
Missing exits exaggerate client counts; this and/or lower than accurate bed counts produce high bed utilization rates (105% or over = usability error)
Data Completeness: High percentages of missing data can disqualify submission Disability, veterans status and prior living situation are typical challenge areas
Provider Pages: Missing or wrong program type codes will skew data pulling into reports and adversely affect client counts and bed utilization

8. Emergency Shelter Demographic Data
ES Families
ES Singles
# of Persons
1563 (20% of hh’s contain 5 or more)
5573
# of Beds
272
795
% using more than 1 shelter
16%
28%
Gender
95% female headed hh’s
85% adult males
Race
94% black
87% black
Turnover rate
5.75
7.01

9. Transitional Housing Demographic Data
TH Families
TH Singles
# of Persons
410
1428
# of Beds
147
702
% using more than 1 TH unit 2% 3%
Gender
97% female headed hh’s
78% adult males
Race
95% black
81% black
Turnover rate
2.8
2.03

10. Permanent Supportive Housing Demographic Data
PSH Families
PSH Singles
# of Persons
731
1577
# of Beds
694
1261
% using more than 1 PSH unit 2%
<1%
Gender
84% female head of household
70% adult males
Race
95% black
85% black
Turnover rate
1.05
1.25

11. ES, TH & PSH Utilization Rates
Highest rate in Jan & April 2016 – 96%
Highest rate in July 2016 – 104%
Highest rate in January 2016 – 96%
Highest rate in July 2016 – 103%

12. ES - Age of Clients

13. TH - Age of Clients

14. PSH - Age of Clients

15. Disability Rates

16. Submission Results Singles Families ES (All Persons) Approved
TH (All Persons)
PSH (All Persons)
ES (Veterans)
TH (Veterans)
PSH (Veterans)
Summary

17. Questions??
Contact Information:
Presentation:
Detroit CoC AHAR Team:
Tasha Gray – HAND Executive Director
Selwin O’Neal – HMIS System Administrator
Kiana Harrison – HMIS System Administrator
Alexis Alexander – HMIS System Administrator
Abt Associates – HDX Submission Support:
Kristen Cummings