Data Quality Report Cards Q1 2023 Published!

The Q1 2023 HMIS Data Report Cards have been published! Review your agency’s data here!

These report cards look at the main components of Data Quality: Data Completeness, Data Accuracy, and Data Timeliness.

The first tab of the Report Cards assesses the Data Completeness and Data Accuracy of the Universal Data Elements for each project in our system, and for all our system as a whole. This tab includes:

  • The Percentage of enrollments that fall into the following data response categories: Valid Responses, Don’t know/Refused, Data not Collected, Missing Response, and Data Issues The Average Data Completeness Score by project: This is a unique indicator of data completeness for each project.
  • The Average Data Completeness Score by project: This is a unique indicator of data completeness for each project.

The second tab of the Report Cards assesses the Data Timeliness of each project of our system. This tab shows the percentage of enrollments that fall into the following length of time categories: 0-3 days, 4-7 days, 16-30 days, and more than 31 days.

The Report Cards can now be filtered by Agency Name. To view the results for a particular agency, navigate to the dropdown labeled “Agency” and make a selection. The report can also be filtered by Project Name.

If you have any questions, please enter a ticket to the HMIS Help Desk.

LSA (Longitudinal System Analysis) Report FY 2022 has been Published

Every year, HUD submits an Annual Homeless Assessment Report (AHAR) to the US Congress. The AHAR is a national-level report that provides information about homeless service providers, people and households experiencing homelessness, and various characteristics of that population. It informs strategic planning for federal, state, and local initiatives designed to prevent and end homelessness. The LSA report is produced from each CoC’s Homeless Management Information System (HMIS), and is compiled to create the AHAR report to Congress.

Check out the LSA Report FY 2022 here.

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