Common use of Prior Living Situation Clause in Contracts

Prior Living Situation. [Prior Living Situation] is client doesn't know, client refused, data not collected, or is missing. Destination [Destination] is Client doesn't know, Client refused, No exit interview completed, Data not collected, or is missing. Expected completeness measures for project types: Expected Completeness Measures Data Element All other Housing Project Types Name* 95% Date of Birth* 95% Race* 95% Ethnicity* 95% Prior Living Situation 100% Destination 95% Domestic Violence 95% Fleeing Domestic Violence 95% *Only measured for consenting clients. Timeliness Client data should be entered into HMIS as close to the date of collection as possible. Entering data as soon as possible supports data quality by avoiding backlogs of pending data and allowing near real time analysis and reporting. Projects must enter/update project client/household data in HMIS within 14 calendar days following the date of project enrollment/exit. Counties not using the State HMIS (data integration counties), must work with the HMIS Manager to provide full CSV exports every six months. When Commerce is able to accept monthly imports, Counties must upload data to the State’s HMIS using XML or CSV schema compliant with current HUD HMIS Data Standards. Uploads must occur no later than the 30th calendar day following the end of each month. Counties not able to export and upload data to the State HMIS using an approved format must use the State HMIS for direct data entry. Accuracy Data entered into HMIS must reflect the real situation of the client/household as closely as possible. Accurate data is necessary to ensure any project reporting fairly represents the work of the project and each client’s story.

Prior Living Situation. [Prior Living Situation] is client doesn't know, client refused, data not collected, or is missing. Destination [Destination] is Client doesn't know, Client refused, No exit interview completed, Data not collected, or is missing. Expected completeness measures for project types: Expected Completeness Measures Data Element All other Housing Project Types Name* 95% Date of Birth* 95% Race* 95% Ethnicity* 95% Prior Living Situation 100% Destination 95% Domestic Violence 95% Fleeing Domestic Violence 95% *Only measured for consenting clients. Timeliness ‌ Client data should be entered into HMIS as close to the date of collection as possible. Entering data as soon as possible supports data quality by avoiding backlogs of pending data and allowing near real time analysis and reporting. Projects must enter/update project client/household data in HMIS within 14 calendar days following the date of project enrollment/exit. Counties not using the State HMIS (data integration counties), must work with the HMIS Manager to provide full CSV exports every six months. When Commerce is able to accept monthly imports, Counties must upload data to the State’s HMIS using XML or CSV schema compliant with current HUD HMIS Data Standards. Uploads must occur no later than the 30th calendar day following the end of each month. Counties not able to export and upload data to the State HMIS using an approved format must use the State HMIS for direct data entry. Accuracy ‌ Data entered into HMIS must reflect the real situation of the client/household as closely as possible. Accurate data is necessary to ensure any project reporting fairly represents the work of the project and each client’s story.