The following homeless services utilization dashboards from state fiscal year 2018 to 2023 (July - June) build upon the reporting framework established by the University of Hawaii, Center on the Family (UH). UH completed a Homeless Service Utilization Report annually from 2006 through 2017. While UH emphasized services utilization and trends on a statewide level, the following dashboards focus on Bridging The Gap (BTG) and the rural counties of Hawaii, Kauai, and Maui. The data used to produce the tables and charts is pulled from BTG’s Homeless Management Information System (HMIS) and the dashboards presented leverage Tableau’s filtering and data visualization properties to enhance the utility of the data. Short narratives accompany each of the sections highlighting the methodology employed, however, the bulk of the dashboard datasets are unduplicated over each fiscal year and the principle literally homeless project types including street outreach, emergency shelter, transitional housing, and rapid re-housing. The methodology is generally consistent with UH reporting and in some sections has been updated to provide more comprehensive information. To further enhance usefulness, nearly all figures and tables include filters so that service trends and outcomes can be isolated by county, project type, organization, project, etc. The funding source filter provides an option to delineate data based on whether projects are Homeless Programs Office (HPO) funded.
The figure below presents BTG’s annual PIT results dating back to 2015. PIT data estimates homelessness within the rural counties of Kaua`i, Maui, and Hawai`i on one night during the last ten days in January each year. Total homelessness is the sum of the sheltered and unsheltered counts. BTG did not conduct an unsheltered count in 2021 due to the COVID-19 pandemic, thus the break in data between years 2020 and 2022. Results can be filtered by project type, county, or PIT region. Visit the Hawaii Point-In-Time Count Reports section of this website for more information.
This figure presents year-on-year percentage change data for total PIT Count homeless, and the number of people served annually through standard homeless services project types including street outreach, emergency shelter, transitional housing, and rapid re-housing. Data is presented for each of the rural counties and BTG. PIT comparisons are not available for 2021 since BTG did not conduct a full PIT for that year due to the COVID-19 pandemic. The number of clients served annually is an unduplicated count over street outreach, emergency shelter, transitional housing, and rapid re-housing projects within the state fiscal year based on BTG’s HMIS. PIT total homeless includes all homeless persons who were “sheltered” (staying in a shelter program or a domestic violence shelter) or “unsheltered” (sleeping in a place not meant for human habitation) on a specific reference night in the last ten days of January.
This figure presents the total number of people served annually for BTG, and each of the rural counties individually. The total number of people served within a fiscal year is an unduplicated count over street outreach, emergency shelter, transitional housing, and rapid re-housing projects. The filters in the upper right of the figure can be used to delineate the data by project type, organization, project, or funding source. In the project type filter, checking the “Rapid Re-Housing (Housed)” filter will include people that have a housing move-in date recorded in the HMIS prior to the end of the fiscal year. Checking the “Rapid Re-Housing (Homeless)” filter will include people that do not have a housing move-in date prior to the end of the fiscal year (i.e., those clients that are literally homeless). By unchecking the “Rapid Re-Housing (Housed)” filter only, the chart will display people served that were literally homeless during the year. The funding source filter can partition the data based on whether clients were served through HPO funded projects.
This figure presents two charts, each based on the total number of unduplicated persons served annually since 2018. The methodology used to determine the number served each year aligns with the definition presented in Figure 3. The first chart separates the total served into stayers and leavers. Stayers are defined as being actively enrolled at the end of the year, while leavers are defined as having exited during year. The second chart separates the total served into returnees and newcomers. Newcomers are defined as having no HMIS history prior to the enrollment that is counted in the given year, while returnees have had at least one enrollment prior to the enrollment that is counted in the given year. The filters in the upper right of the figure serve both charts and delineate the data by county, project type, organization, project, or funding source.
The pie chart in this figure presents the total number of persons served during the state fiscal year and distinguishes whether clients were served through HPO funded projects. The methodology for deduplicating is consistent with previous charts and total service numbers are equivalent. The data can be filtered by year, county, project type, and organization.
The stacked bar chart in this figure displays the subgroups outlined in Figure 4, highlighting in green the number in each group that were served through HPO funded projects. The definitions for stayers, leavers, newcomers, and returnees align with those presented in Figure 4. The methodology for deduplicating and determining total people served each year is consistent with previous charts. Within each year the sum of stayers and leavers equals the total number of persons served, and likewise for the sum of newcomers and returnees. The data can be filtered by year, county, project type, and organization.
This table provides statistics for clients classified as newcomers. Newcomers are defined as having no HMIS history prior to the enrollment that is counted in the given year. The total presented within each of the tables matches the count of newcomers displayed in Figure 4. Totals include numbers served by rural county, project type first accessed, household type, and whether new clients are adults or minors. A family household type contains at least one member under the age of 18. The data can be filtered by year, county, or funding source.
This figure presents annual percentage change data for newcomers served through standard homeless project types including street outreach, emergency shelter, transitional housing, and rapid re-housing. Each year highlights the percentage change in newcomers relative to the previous year, where newcomers are defined as having no HMIS history prior to the enrollment that is counted in the given year. Newcomer annual counts and the deduplication methodology is consistent with other dashboard tables and figures. Data is presented for BTG and each of the rural counties dating back to 2018. The data can be filtered by project type, organization, project, or funding source.
This figure uses total returnees as the universe for the percentages displayed. The total number of returnees matches the total presented in Figure 4. Returnees are categorized as having at least one enrollment prior to the enrollment that is counted in the given year. The figure displays the percentage distribution by project type for the enrollment preceding the returnee’s current enrollment for all returnees served during the year. Hovering over each bar displays the total number of returnees. The data can be filtered by year, county, project type, organization, project, and funding source.
The universe for this figure is the set of all exits for returnees with an exit that occurred prior to the entry date of the enrollment counted in the year. The returnee’s most recent exit is used if there is more than one. The sum of returnees reflected in the bars will likely be less than the total returnees presented in Figure 4 since all returnees may not have an exit. Returnees are categorized as having at least one enrollment prior to the enrollment that is counted in the given year. The figure displays the percentage distribution by exit destination type using the methodology outlined above. Hovering over each bar displays the total number of returnees. The data can be filtered by year, county, project type, organization, project, and funding source.
The universe for this figure is the set of all exits for returnees with an exit that occurred prior to the entry date of the enrollment counted in the year. The returnee’s most recent exit is used if there is more than one. The sum of returnees reflected in the bars will likely be less than the total returnees presented in Figure 4 since all returnees may not have an exit. Returnees are categorized as having at least one enrollment prior to the enrollment that is counted in the given year. The figure displays the percentage distribution by exit year using the methodology outlined above. Hovering over each bar displays the total number of returnees. The data can be filtered by year, county, project type, organization, project, and funding source.
This table presents various demographic characteristics of people, households, and adults served annually for BTG and the rural counties. The methodology for deduplicating and determining total counts for those served each year is consistent with previous charts. Gender, age, primary race, and prior living situation are based on total people served; living arrangements use total households as a basis; while household type and veteran status are based on adults served. Table filters include fiscal year, county, project type, organization, project, and funding source.
This table presents the total number of people served annually for BTG and each of the rural counties. The table also includes a breakout of all persons served by project type. The methodology for deduplicating and determining the total number of people served each year is consistent with previous charts. Table filters include fiscal year, organization, project, and funding source.
This table presents the total number of people served in family households annually for BTG and each of the rural counties. The table also includes a breakout of family persons served by project type. A family household consists of people where at least one member of the household is under the age of 18. People served in family households is a subset of total persons served, whose total is presented throughout other figures and tables in this report. Table filters include fiscal year, organization, project, and funding source.
This figure presents mean (average) and median length of homelessness in days for clients served in emergency shelters each year. The figure’s default state is to display data for all clients served in the period, however, the figure can be filtered to display information for stayers or leavers individually if needed. Stayers remain actively enrolled at the end of each year, while leavers exit during the year. For clients classified as stayers, the enrollment entry date and end of the fiscal year is used to calculate length of stay, whereas for leavers, the enrollment entry date and corresponding exit date are used to calculate length of stay. Length of stay data is then compiled for all clients served in the year to produce the mean and median statistics presented in the figure. This data can be filtered by county, organization, project, family or individual, stayer or leaver, or funding source.
This figure presents mean (average) and median length of homelessness in days for clients served in emergency shelters and transitional housing each year. The figure’s default state is to display data for all clients served in the period, however, the figure can be filtered to display information for stayers or leavers individually if needed. Stayers remain actively enrolled at the end of each year, while leavers exit during the year. For clients classified as stayers, the enrollment entry date and end of the fiscal year is used to calculate length of stay, whereas for leavers, the enrollment entry date and corresponding exit date are used to calculate length of stay. Length of stay data is then compiled for all clients served in the year to produce the mean and median statistics presented in the figure. This data can be filtered by county, organization, project, family or individual, stayer or leaver, or funding source.
This table displays permanent housing exits, total exits, permanent housing exit rates, total served, and rate of exit of those served. The data is presented by rural county and for BTG, annually since 2018. Total people served and exited match the totals presented in other figures and tables throughout this dashboard report. The subpopulation filter can be used to display table results for a specific household type or subpopulation. Table data can also be filtered by project type, organization, project, or funding source.
The following table displays permanent housing exit rates by project type, household type, county, and year. The total number of exits each year used to calculate the permanent housing rates aligns with the totals presented in the figures and tables throughout. The blanks in the table indicate that there were no exits for that section during the year. A family household type includes people where at least one member of the household is under the age of 18. An individual household type includes people where no members of the household are under the age of 18, most people identified in this household type are single. The tooltip for each rate includes the total number of permanent housing exits for ease of reference. The data can be filtered by organization, project, or funding source.
This figure presents exit destination statistics for all people exiting during the year. The total number of leavers each year aligns with the exit totals outlined in the figures and tables above. The pie chart on the left classifies total exits by exit destination type. Exit destination types include unsheltered settings, other temporary arrangements, sheltered settings, unknown locations, institutions, and permanent housing. The pie chart on the right provides a more detailed breakout of the exits classified as permanent housing. Permanent housing subcategories include HUD-funded permanent supportive housing, rental housing with or without subsidy, and permanently residing with family or friends. Hovering over the sectors of each chart displays the total number of people within each subcategory. The data can be filtered by year, county, project type, organization, project name, or funding source.
This figure utilizes HUD’s System Performance Measure (SPM) 2 methodology to convey the extent to which people exiting to permanent housing return to homelessness. The total number of people exiting to permanent housing destinations two years prior to the year presented is displayed above the green bars, while the number of these people retaining housing or returning to homelessness after two years is presented within the green and red bars respectively. The figure’s default state displays data for all BTG. Hovering over the bars produces a tooltip, identifying retention and recidivism rates based on what is filtered. Filters include organization, county, project type, project name, funding source, family or individual, or veteran status.
