It is the time of year when Housing Alliance Delaware collects information for the annual Housing Inventory Count (HIC) on behalf of the Delaware Continuum of Care. The HIC is completed in tandem with the Point in Time (PIT) Count, which occurred on the night of Wednesday, January 24, 2024.
The PIT reflects the state's need for shelter and housing
for Delaware's homeless population, while the HIC reflects the state's supply
of resources available.
All active programs in the state must be included in the
HIC, regardless of their participation in CMIS.
Project types included in the HIC are:
- Rapid Rehousing (RRH)
- Permanent Supportive Housing (PSH)
- Other Permanent Housing (OPH)
There are three steps to this year's Housing Inventory Count
Process.
HAD staff reached out to all CMIS-participating projects for updates on their projects' inventories (shelter or services available per project by household type, based on grant terms and/or program capacity/space) in October of 2023.
Therefore, we are only requiring that an Inventory Update
Form is completed if:
This year, Housing Alliance Delaware will compile the PIT Count data previously asked to be submitted. For us to be able to get this information, CMIS data entry as of the night of the PIT/HIC must be up to date and complete. To ensure that PIT and HIC information is accurate, CMIS end users must ensure that:
Housing Alliance Delaware will reach out to agencies shortly after the deadline to review any data quality issues that may impact these reports' submissions.
The link below will direct to you to the HIC How To Guide
on the CMIS Support Desk, which covers FAQs and gives guidance on how to review
PIT/HIC data through a CoC APR.
For project(s) that do not complete CMIS data entry, PIT
surveys collected by Housing Alliance Delaware will take care of this process
for you.
While finalizing the PIT and HIC reports that Housing Alliance Delaware will submit to HUD, we may reach out to agencies to confirm their project data.
This may happen in the cases of high levels of data quality issues and/or high or low project utilization rates. supply of resources available.