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This edition breaks down what household types and subpopulations are, how they’re used in the HIC, and common data quality pitfalls to avoid.
Accurate household type and subpopulation data are foundational to the Housing Inventory Count (HIC). These data points determine how LAHSA reports inventory to HUD, how programs are categorized, and whether inventory aligns with the people actually being served in HMIS.
Why This Matters: The HIC is a point-in-time snapshot of your project’s beds/units and households, aligned with:
- Project configuration (inventory)
- Enrollment data in HMIS
- HUD reporting requirements
If household types or subpopulations are misaligned, it can result in:
- Inventory misreporting
- Data quality issues
- Manual corrections during HUD submissions
- An unclear reflection of what is actually happening
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