Current information

Across the U.S., cities are facing increasing numbers of people experiencing homelessness. Meanwhile, an inadequate supply of deeply affordable housing has made it nearly impossible for individuals and families to move out of the shelter system.

Allegheny County’s 500 in 500 initiative responded to this needs gap with urgency, coordination, flexibility and creative problem-solving. County and City government, housing authorities, nonprofit organizations, foundations, developers and advocacy groups came together to make existing units or building conversions available for people living in shelters. The initiative moved hundreds of people from shelter to permanent housing, freed up shelter space for individuals and families in crisis and reduced strain across the homelessness response system.

 

Select the report cover below to learn how the initiative took shape, hear perspectives from those closest to the work and explore results as of day 500.

Open A Dramatic Change, In 500 Days report (PDF, 150 MB)


View Full Report (PDF, 150 MB)

 

Questions or Feedback?

We welcome your questions and suggestions. To share feedback, you can reach us at DHSResearch@alleghenycounty.us. If you’d like to stay informed, consider signing up for our newsletter. To learn how to use DHS data in your research, please visit our Requesting Data page. Thank you for your time and interest. Your engagement helps shape and improve how we share data that matters.

We invite you to explore this page and its resources to learn about two data driven models—the Allegheny Housing Assessment (AHA) and the Mental Health Allegheny Housing Assessment (MH-AHA). These are decision support tools that the Allegheny County Department of Human Services (DHS) uses to improve equity and transparency in how we prioritize placement—and ultimately improve outcomes—in housing and mental health residential services.

Allegheny Housing Assessment (AHA)

Permanent Supportive Housing (PSH) and Rapid Rehousing (RRH) are two long-term housing programs operated by Allegheny County’s Continuum of Care (CoC). Because referrals for placement in these programs exceed capacity every year, we have to prioritize for placement those who are at highest need and would benefit from it the most.

The Allegheny Housing Assessment (AHA) is a tool that uses administrative data to support decision making in this prioritization process. It is a significant improvement from the previous method of prioritization, which required the use of a lengthy questionnaire that was time-consuming to administer, distressing to applicants and unreliable. In August 2020, DHS implemented the Allegheny Housing Assessment (AHA), a model developed by a team led by Dr. Rhema Vaithianathan and partners at the Centre for Social Data Analytics↗. This model has been shown to improve equity in the allocation of housing resources. As part of DHS’s commitment to continued quality assurance, it was updated in 2025.

About the AHA Model

Agency Deploying Data-Driven Model: Allegheny County DHS
Scope: Provide decision support to inform prioritization of placement in Permanent Supportive Housing (PSH) and Rapid Rehousing (RRH)
Status: In Use
Date of Deployment: August 2020
Last Updated: August 2025

Consult the Frequently Asked Questions About AHA↗ for additional information.

Goals and Purpose of AHA

The AHA is a decision support tool that helps DHS prioritize admissions to Rapid Rehousing (RRH) and Permanent Supportive Housing (PSH). The model assists in prioritization by identifying individuals who are at risk of a set of adverse outcomes related to homelessness.

How the AHA Model Works

The AHA is comprised of four component models that each predict a different outcome: inpatient mental health stays, four or more emergency department visits, jail bookings, and homelessness within a year of the assessment date. The first three outcomes were used to develop the November 2020 version of the model, while the homelessness component was added to the 2025 update.

The training data for the updated AHA model is comprised of 18,008 RRH/PSH assessments from 2016 through 2024. The component models are random forests tuned using subject-wise cross-validation to estimate the likelihood of their respective outcomes. These probabilities are weighted and combined to generate a 1-10 integer score, where 10 represents highest risk and 1 represents lowest risk.

Read the most recent AHA methodology update here.

Read the full AHA methodology report here.

AHA’s Performance

Allegheny Housing Assessment (AHA)
Outcome Area Under the Curve (AUC) Prevalence among AHA 10s (Positive Predictive Value) True Positive Rate Among AHA 10s Baseline Prevalence
Mental Health Inpatient 0.71 29% 26% 12%
Emergency Room 4+ Visits 0.66 46% 21% 24%
Jail Booking 0.72 39% 22% 16%
Any Homelessness 0.68 58% 16% 32%

While the AUC and Positive Predictive Value performance for the first three outcomes are similar in the 2020 and 2025 versions, inclusion of the homelessness component model in the 2025 update significantly improves AHA’s identification of homelessness risk, from an AUC of 0.54 to 0.68.

In addition to pre-deployment performance evaluation, the scores that are generated daily are monitored on an ongoing basis for both drift and unusual distribution.

Read the most recent AHA methodology update here.
Read the full AHA methodology report here.

AHA Equity Considerations

The August 2020 AHA model was subject to a thorough fairness and equity review by Eticas, which found that there were few concerns regarding the model’s fairness across various groups. This represented an improvement in the racial equity of housing services in the County. In the process of updating AHA, we ensured that resources would continue to be allocated equitably.

The table below compares the gender and race breakdown of AHA 10s between the 2020 and 2025 models. Allocations across racial groups appear similar in the updated model, but there is a shift in allocations between genders. In the new model, more men and fewer women would be assigned housing for both singles and families. This shift is likely due to the large difference in homelessness risk between men (38% one-year homelessness risk) and women (26%). Because the updated model includes the homelessness component, it prioritizes more men for housing than the earlier version.

Gender and Race Allocations
  AHA 10s, Aug. 2025 Model AHA 10s, Nov. 2020 Model
Black 50% 46%
White 49% 48%
Female 24% 34%
Male 76% 62%


DHS will continue to advance equity and transparency in our predictive risk models/data-driven models through external audits and release of statements to the public. To learn about what DHS has already done to support equity and transparency, see Etica’s algorithmic impact assessment and DHS’s response to the algorithmic audit.

Community Input in AHA Adoption

There has been rich public engagement throughout the development of AHA, including involvement from policy makers, community groups, industry experts and the general public. Specifically, individuals experiencing homelessness, local service provider agencies, national homelessness experts, advisory boards and committees, DHS leadership, local funding agencies and foundations, and representatives from the U.S. Department of Housing and Urban Development (HUD) have all contributed to AHA’s development. Formats for engagement have included focus groups and presentations, where stakeholders could express optimism or share concerns about the model.

  1. Community feedback surfaced concerns about the accuracy and completeness of administrative data on the homelessness population. This feedback resulted in the implementation of quality assurance protocols and alternative self-report predictive assessment tools, improvements that aim to support the assessment process but not replace clinical judgement for decision-making.
  2. National Feedback sourced from conferences and conventions provided DHS with cross-sector expert input, including professional feedback from leading experts in fields covering data science, analytics and ethics. The insights drawn from these specialists support DHS’s mission to use predictive risk models ethically and responsibly, for the purpose of improving human service systems’ responses to evolving community needs.

DHS will continue to promote and engage in two-way communication that both centers community voices and informs staff and partners—whether it be through focus groups with people experiencing homelessness or discussions with providers. To learn about what DHS has already done, see the Focus Group Report and the Overview of Models and Implementation video.

AHA Publications & Resources

Allegheny Housing Assessment (AHA)
Name of Resource/Publication Type Date Published/Updated Format Notes
Frequently Asked Questions About AHA FAQ rev. January 2026 PDF Second update; reflects continued refinements
Allegheny Housing Assessment:
Updated Methodology Report
Methodology Report [Update] rev. January 2026 PDF Plain-language resource for providers/community
Overview of Models and Implementation: Office of Behavioral Health and Executive Director Discussion Overview/Training July 2024 Video (Web) Walk-through for behavioral health providers
Using Predictive Risk Modeling to
Prioritize Services for People Experiencing
Homelessness in Allegheny County
(Dec. 2020)
Methodology Report [Update] December 2020 PDF First update; reflects refinements after early implementation
Report on Client Focus Groups (AHA) Focus Groups Report December 2020 PDF Short report on focus group methodology, results, conclusions
Algorithmic Impact Assessment of the Predictive System for Risk of Homelessness Developed for Allegheny County Algorithmic Audit / Evaluation December 2020 PDF Independent data science review; technical and ethical considerations
Allegheny County Department of Human Services’ Response to Eticas’ report,
“Algorithmic Impact Assessment of the
Predictive System for Risk of Homelessness”
DHS Response December 2020 PDF DHS statement; addresses reviewer concerns and outlines commitments
Using Predictive Risk Modeling to
Prioritize Services for People Experiencing
Homelessness in Allegheny County
(Sept. 2020)
Methodology Report September 2020 PDF Foundational methodology; describes model design

Mental Health Allegheny Housing Assessment (MH-AHA)

Mental Health Residential (MH-Res) programs are a high-demand resource that require prioritization and waitlist management. The purpose of the Mental Health Allegheny Housing Assessment (MH-AHA) is to identify people who are at the highest risk of future mental health inpatient stays and repeated ER visits and thus most in need of MH-Res services. This model offers a low-cost and data-driven way to assess individuals in Allegheny County for their level of need to help prioritize this limited resource. 

About the MH-AHA Model

Agency Deploying Data-Driven Model: Allegheny County DHS
Scope: Identify individuals at high risk of negative outcomes to prioritize access to mental health residential programs
Status: In Use
Date of Deployment: February 2023
Last Updated: August 2025

Consult the Frequently Asked Questions About MH-AHA↗ for additional information.

Goals and Purpose of MH-AHA

In February 2023, DHS implemented the Mental Health – Allegheny Housing Assessment (MH-AHA), developed by a team led by Dr. Rhema Vaithianathan at the Centre for Social Data Analytics. The MH-AHA is a decision support tool that helps DHS prioritize admissions to mental health residential programs. The model assists in prioritization by identifying individuals who are at risk of a set of adverse outcomes related to mental and physical health.

How the MH-AHA Model Works

The training data for the MH-AHA model is comprised of 13,673 RRH/PSH assessments from 2016 through 2024 for people who were enrolled in Medicaid at the time of their assessment. The model is comprised of two component models; each predicts a different outcome: 1) inpatient mental health stays and 2) four or more emergency department visits within one year of assessment. The component models use DHS warehouse data to generate probabilities of their respective outcomes. These probabilities are combined to generate a 1-10 integer score, with 10 indicating highest risk and 1 indicating lowest risk. 

Read the full MH-AHA methodology report here.

MH-AHA Performance

The updated MH-AHA model was evaluated along several dimensions of performance and fairness, both in absolute terms and by comparison to the February 2023 version of the model. Model performance for the two outcomes is shown in the table below:

Mental Health Allegheny Housing Assessment (MH-AHA)
Outcome Area Under the Curve (AUC) Prevalence among MH-AHA 9 and 10s (Positive Predictive Value) True Positive Rate Among MH-AHA 9 and 10s Baseline Prevalence
Mental Health Inpatient 0.73 48% 34% 25%
Emergency Room 4+ Visits 0.78 52% 48% 18%

The area under the curve (AUC) and Positive Predictive Value (PPV) performance improved from the 2023 model to the 2025 update for both outcomes. AUCs improved from 0.64 and 0.75 to 0.73 and 0.78 for Mental Health Inpatient and Emergency Room 4+ Visits, respectively, and the PPV improved by 7 to 8 percentage points for each outcome.

In addition to pre-deployment performance evaluation, we monitor the scores that are generated, on a daily basis, for drift and unusual distribution.

Read the full MH-AHA methodology report here.

MH-AHA Equity Considerations

While different subsets of the training set can present different levels of risk (meaning that the risk for certain subgroups can be under- or over-estimated), it is important that the model selects a treatment group that is equally at-risk across subgroups. For this reason, we performed a full equity analysis looking at the precision and recall across the sensitive categories of race and gender.

We also examined how the model update might change the distribution of resource allocations. The table below compares the gender and race breakdown of MH-AHA 9s and 10s between the 2023 and 2025 models. Allocations across racial and gender groups are nearly the same in the updated model, which indicates that there has not been a shift in equity.

Gender and Race Allocations
  MH-AHA 9-10s, Aug. 2025 Model MH-AHA 9-10s, Feb. 2023 Model
Black 50% 52%
White 50% 44%
Female 46% 48%
Male 53% 52%


DHS will continue to advance equity and transparency around use of predictive risk models/data-driven models through external audits and by releasing statements to the public. To learn about what DHS has already done to support equity and transparency, see Etica’s algorithmic impact assessment and DHS’s response to the algorithmic audit.

Community Input in MH-AHA Adoption

There has been broad public and professional engagement in the development of MH-AHA:

  1. Feedback provided from AHA’s engagement process directly informed the development of MH-AHA. The cross-sector input gathered for AHA from experts in multiple fields established the foundation that DHS carried forward to implement MH-AHA. Experts included researchers, machine learning experts, homelessness policy and program administration experts, cyber law experts, ethicists, privacy experts and representatives from HUD. To learn more about the community’s involvement in AHA (and thereby MH-AHA), please review the section on Community Input in AHA Adoption.
  2. MH-AHA also included input from providers, DHS staff and local judges, who recognize that the availability—or lack thereof—of residential mental health housing is an important consideration when making crucial service and/or judicial decisions. 

These elements of MH-AHA’s development ensure both system-level and community-based considerations shape MH-AHA’s design and use.

DHS will continue to promote and engage in two-way communication that both centers community voices and informs staff and partners—whether it be through focus groups with people experiencing homelessness or discussions with providers. To learn about what DHS has already done, see the Focus Group Report and the Overview of Models and Implementation video.

MH-AHA Publications & Resources

Mental Health Allegheny Housing Assessment (MH-AHA)
Name of Resource/Publication Type Date Published/Updated Format Notes
Overview of Models and Implementation: Office of Behavioral Health and Executive Director Discussion Overview/Training July 2024 Video (Web) Walk-through for behavioral health providers
Methodology Report for the Mental Health–Allegheny Housing Assessment Tool Methodology Report November 2023 PDF Foundational report; documents model development
Frequently Asked Questions About the Implementation of the MH-AHA Tool FAQ November 2023 PDF Plain-language resource for providers/community

Questions or Feedback?

We welcome your questions and suggestions. To share feedback, email us at  DHSResearch@alleghenycounty.us. If you’d like to stay informed, consider  signing up for our newsletter. To learn how to use DHS data in your research, please visit our Requesting Data page. Thank you for your time and interest. Your engagement helps shape and improve how we share data that matters.

Current Plan and Related Documents

The Allegheny County Department of Human Services (DHS) partnered with Pittsburgh Regional Transit (PRT) to launch a new transportation assistance program in November 2022 called the Discounted Fares Pilot. This program offered free and reduced-price PRT rides for county residents ages 18 to 64 who receive Supplemental Nutrition Assistance Program (SNAP) benefits, along with their 6- to 17-year-old children. The fare discounts were allocated using a lottery. Each household in the pilot was randomly assigned to one of three groups, each with equal probability. One group received unlimited free PRT trips, a second group received a 50% discount on all PRT trips, and a third group received no discount. The fare discounts lasted 16 to 19 months for the free-fare and half-fare groups.

Key Takeaways

  1. The Pilot began with strong enrollment—over 14,000 people. A total of 9,544 adults and 4,928 children enrolled in the Pilot during the three-month open enrollment period. The majority of adult participants were female (72%) and Black (59%). Participants reported taking an average of ten PRT trips per week and spending an average of nearly $30 on public transportation per week at the time they enrolled in the Pilot.
  2. Free fares increased public transit ridership. On average, participants in the free-fare group took 1.48 more trips per week—a 43% increase—compared to those who paid regular price for their trips. In contrast, transit usage among participants who received half-priced fares was not statistically different from those who paid regular price for their trips.
  3. Fare discounts eased financial hardships. Near the end of the discount period—around 15 months into the pilot program—recipients of free fares reported spending $17.09 less per week on public transit compared to participants who paid full price for their transit usage. Participants paying half-priced fares reported spending $5.64 less per week on public transportation than participants who paid full price for each ride.
  4. Among participants who began the study without a job, free fares led to meaningful gains in employment and income. Over the first year and a half of the program, unemployed individuals who received free transit were 6% more likely to secure paid work than those who paid full price. Free-fare recipients also earned nearly $2,850 more—a 28% increase in earnings—compared to participants who covered their own transit costs. These findings suggest free public transit can increase financial stability and employment opportunities for low-income residents in Allegheny County.
  5. The short duration of the fare discounts may have limited their impact on other social and educational outcomes. The study found small and statistically insignificant impacts on healthcare utilization and criminal justice involvement (including appearances in court). Fare discounts had no detectable impact on school attendance among children who attend Pittsburgh Public Schools.

How DHS Uses This Information

DHS has used the results from this pilot to inform the design and implementation of a longer-term program called AlleghenyGo, which offers a 50% PRT discount for working-age county SNAP beneficiaries and their children. Click here to learn more about AlleghenyGo.

Past Reports and Resources

  1. Evaluation of First Year of Pilot Program – Interim Results (May 2024)
  2. Research and Evaluation Plan for Pilot Program (2022)

Questions or Feedback?

We welcome your questions and suggestions. To share feedback, you can reach us at DHSResearch@alleghenycounty.us. If you’d like to stay informed, consider signing up for our newsletter. To learn how to use DHS data in your research, please visit our Requesting Data page. Thank you for your time and interest. Your engagement helps shape and improve how we share data that matters.

Encampment Survey: Interactive Dashboard

The Allegheny County Department of Human Services (DHS) actively monitors the size, location and conditions of tent encampments in areas frequented by people without housing (e.g., Downtown Pittsburgh and the riverfront trails).

What data is available?

The encampment survey dashboard covers encampment data for three areas – the North Side trail, South Side trail, and areas in Downtown Pittsburgh with visible homelessness. Surveyors document information in an online survey tool, including the location of the encampment, the number of tents/structures and whether any immediate action is needed. The data helps DHS track changes in encampment conditions, size, and location over time. The dashboard displays encampment counts from May 2023 to the present, and its data updates weekly.

This data does not attempt to calculate the number of people using tent encampments.  A tent or makeshift structure may house one or more people. It may also be vacant, shared, borrowed or used for storage. This dashboards scope is confined to specific locations with visible homelessness around Pittsburgh. It does not include data on other encampments that may be hidden from public view but still known to DHS or other outreach providers.

How does DHS use the dashboard data?

This information is reported weekly to DHS, the City of Pittsburgh, and homeless outreach and partner organizations, to ensure that they have the best information available for decision-making and to provide a timely response to any issues that may impact the safety of people using and/or sleeping in these public spaces. In addition to using these data to drive real-time action, trends in the data help quantify community needs, including emergency shelter demand and crisis response planning. This data – crossed with other data sources about the number of people experiencing homelessness – provides measurable outcomes to understand the extent to which investments in housing and supportive services impact visible homelessness.
 
DHS is aware that the presence of tent encampments can generate strong feelings in the public – from concern for health and safety to discomfort or fear. However, homelessness is often a negative outcome of economic hardship, systemic inequities and trauma outcomes many people experience. Therefore, DHS encourages dashboard viewers to interpret the data with care. Interpretations made from this data should remain mindful of peoples’ lived experience.  
 
This dashboard has the opportunity to influence public policy, inform public safety, enhance outreach responses and support broad efforts to improve the lives of individuals in the community. If you are interested in learning more about housing instability and homelessness, we invite you to review additional related dashboards and reports on homelessness and shelters.

Click here to view the Encampment Survey Dashboard.

Questions or Feedback?

We welcome your questions and suggestions. To share feedback, you can reach us at DHSResearch@alleghenycounty.us. If you’d like to stay informed, consider signing up for our newsletter. To learn how to use DHS data in your research, please visit our Requesting Data page. Thank you for your time and interest. Your engagement helps shape and improve how we share data that matters.

 

The Intimate Partner Violence Reform Initiative was created in May 2022 to coordinate policy and system-level work across agencies in Allegheny County to improve a complex and fragmented system for both survivors of intimate partner violence (IPV) and those who use violence.

Stakeholders from local and federal criminal justice systems, victim service organizations, community groups, healthcare and human services are working to improve the ways in which people can access help, how our systems work together and share information, and how we can prevent the most serious harm. This includes innovations in adapting and implementing intimate partner violence focused deterrence strategies in Allegheny County.

Each year, Allegheny County participates in a national census, required by the U.S. Department of Housing and Urban Development (HUD), of the number of people experiencing homelessness on a single night. The Point-in-Time count enumerates people experiencing homelessness in the County who are sheltered (residing in emergency shelters), unsheltered (residing in places not meant for human habitation) or participating in a short-term, supportive housing program (transitional and safe haven).

What happened in 2025?

Allegheny County’s 2025 count was conducted on January 28, 2025. The number of people counted as unsheltered increased by 66%, from 169 in 2024 to 281 in 2025. These increases did not align with DHS’s real-time data collection (from street outreach and weekly monitoring of tents), which indicated stable or even downward trends in unsheltered homelessness.   

Unable to explain these contradictory results, we began a review of the methodology used for the Point-in-Time count. Our review found that the process for the January count did not have clear documentation and that some practices did not align with HUD recommendations, making interpretation of the results challenging. We decided to repeat the count, with a clearly documented methodology based more closely on HUD guidance, on March 18, 2025. The March 2025 count showed a 44% increase in unsheltered homelessness since January 2024 (from 169 to 244 people).   

We consulted with representatives from street outreach teams and members of the Homeless Advisory Board (HAB) to discuss results and for assistance in interpreting patterns in the data. The 2025 Point-in-Time report describes the methodologies and results of both the January and March counts. Also included are preliminary interpretations of the results and next steps. Refer to the dashboard to explore Point-in-Time data trends over time.

Key Takeaways in 2025?

  1. We’ve seen increases in shelter usage among both adults and individuals in families with children. More adults and individuals in families with children were staying in shelter during both 2025 Point-in-Time counts than in the 2024 count. In January 2025, 570 adults and 354 individuals in families with children were in shelter. In March 2025, 550 adults and 336 individuals in families with children were in shelter. Compared to 2024, these counts represent relatively small increases, ranging from 3-7% for adults and 4-9% for individuals in adult-child households.
  2. We have greatly expanded outreach, which likely resulted in a more comprehensive count. The City of Pittsburgh and the County have invested in outreach workers in recent years to help deal with rising homelessness. These workers are the main enumerators in annual Point-in-Time counts. The increased capacity for and geographic scope of outreach workers has likely resulted in identifying more people experiencing homelessness over the years. For example, increases in people counted in the East End may be at least partially explained by increases in street outreach capacity.
  3. There are high rates of turnover in the unsheltered population. Only 19% of individuals counted were counted in both the January and March counts. For those counted in only one, almost two-thirds were not enrolled with street outreach programs using HMIS.
  4. Using “people working with street outreach” as a proxy for a count of unsheltered individuals results in an incomplete picture. The 2025 Point-in-Time counts illustrated that the proxy we used for estimating people experiencing unsheltered homelessness—working with street outreach—misses people experiencing short or intermittent episodes of unsheltered homelessness.
  5. The Point-in-Time count of unsheltered people has increased, but changes in approach make interpretation of the results challenging. Identifying increases or decreases in unsheltered homelessness year-over-year is problematic given changing methodologies over time. This means that we cannot confidently attribute these changes to real changes in the number of people experiencing unsheltered homelessness versus changes in how we are counting people.

How is the County moving forward?

DHS is partnering with Bloomberg Associates, experts in Point-in-Time count methodologies, to facilitate a diverse workgroup of stakeholders to evaluate the methodology we have employed, to compare that current methodology to best practices in other jurisdictions, to provide recommendations for improving our methods, and to create a refined methodology that they will help us implement in January 2026. Bloomberg Associates will also externally validate our fidelity to the new methodology.

We expect that the methodology employed in the January 2026 count will differ from what we have used in the past. It may include the use of a larger and more diverse set of volunteers, a more explicit way to choose the locations to canvass throughout the County and/or a more intentional plan to survey people on the night of the count. Because of anticipated improvements, the newly designed methodology will serve as our baseline going forward. We will make the new methodology available publicly.

Previous Reports in this series

Current Information

The Allegheny County Department of Human Services (DHS) engages clients and others who interact with DHS programs in a variety of ways: regular roundtables/cabinets (e.g., Children’s Cabinet); town halls and community forums; social media (e.g., Facebook and LinkedIn); and the Director’s Action Line (DAL). In 2018, DHS expanded its public engagement strategy to include SMS text messaging (texting), a tool that is convenient for recipients and allows DHS to scale up communication with clients and other Allegheny County residents.

How does DHS use text outreach? 

DHS uses text outreach in a variety of ways, including collecting feedback after a service touchpoint, increasing program engagement, recruiting for paid research opportunities, and providing timely alerts. Text messaging has allowed DHS to connect clients to resources at scale, and to solicit feedback from clients who would likely never otherwise have the time or opportunity to share their feedback.

What data is available?

The data brief provides more information about the communication strategy and descriptive analytics from 2018 to 2022. The interactive dashboard, which is updated daily, allows users to drill down to individual text campaigns to understand the purpose, the number of messages sent, and the demographics of people who were contacted.

Terms and Conditions

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Pittsburgh-Allegheny County is one of eight sites participating in the Community Choice Demonstration (CCD) – a large-scale, multi-site randomized controlled trial to test the efficacy of offering housing mobility-related services to families with children in the Housing Choice Voucher (HCV) program. The CCD builds on prior research showing that growing up in lower-poverty neighborhoods increases children’s academic achievement, long-term earnings as adults, and selected improved health outcomes for children and adults.

What is this report about? 

This Rapid Cycle Evaluation is the first report assessing the early implementation of the Demonstration and capturing the initial impact and costs of comprehensive mobility-related services (CMRS). The report provides preliminary findings on the locational outcomes for 596 HCV families with children who enrolled in the first 8 months of the 6-year Demonstration through March 2023. This is the first of a series of reports expected over the next eight years detailing progress of the Demonstration, which began in August of 2022 and ends in October 2028.

What are the takeaways?

An analysis of 12 months of data indicates that the Demonstration is having a statistically significant, positive impact on moves to low-poverty, high opportunity areas. Almost 24% of HCV families with children who received CMRS moved to an opportunity area, compared to 4% percent of HCV families in the control group. The offer of CMRS resulted in a nearly 20 percentage point increase in the share of families moving to an opportunity area within 12 months of study enrollment.

Needs Assessment of Economic Security

Access the report

From May through August 2024, Allegheny County Department of Human Services (DHS) engaged in a comprehensive needs assessment. The purpose of the assessment was to determine how DHS can best address the needs of individuals and families living in poverty and promote stability and economic security using Community Service Block Grant (CSBG) funds and other flexible funding across the agency. The assessment included collection and analysis of qualitative and quantitative data from community members and service providers.

Read the new report here.

What are the takeaways?

  • Despite a decrease in the overall poverty rate, there remain deep disparities in poverty by demographic groups. Black people, women with children and people with less than a high school diploma experience poverty at twice to three times Allegheny County’s rate.
  • Finding job opportunities was the number one challenge reported by survey respondents seeking employment. Additional barriers to employment include transportation and resumé/application preparation.
  • Workforce participant engagement for those receiving SNAP and TANF (i.e., those with low income, for whom relevant data are available) increased from 2021 to 2022, possibly explained by COVID-related participation extensions. The demand for job readiness/training programs among this population, particularly for SNAP recipients who are female and Black, is expected to increase further as SNAP work requirement waivers expire in 2025.
Current information

The Allegheny County Department of Human Services (DHS) funds programs to assist young adults who are transitioning out of the child welfare system (also known as transition-aged youth) to secure employment, education, housing, behavioral health services, financial advice and more. Despite these service offerings, transition-aged youth have higher rates of homelessness, substance use, mental health challenges and incarceration, as well as lower rates of high school graduation compared with people who were not involved with the child welfare system. While targeted services are important, some human service needs result from poverty, which can be mitigated by providing direct financial assistance.

What is this report about?

In the summer of 2023, DHS launched a direct cash support program called Cash Assistance for Allegheny Young Adults (CAAYA), which provided a one-time payment of $4,000 to young adults, ages 18 through 22, with a history in the child welfare system, who were experiencing homelessness or were young parents who had an open case with Allegheny County’s child welfare office. In this report, we present a mixed-methods approach to evaluating the impact of CAAYA, including longitudinal surveying, a quasi-experimental analysis of administrative data in the Allegheny County Data Warehouse, and semi-structured interviews with cash recipients.

What are the takeaways?

  • CAAYA recipients demonstrated significant financial need. At the launch of the program, only 35% reported being currently employed and only 29% reported being in school either full-time or part-time. Those who had some form of formal employment in the 12 months before the program had mean annual earnings of $10,174. Twenty-eight percent had one or more children.
  • CAAYA recipients also lacked financial support within their community. Two-thirds of recipients reported not knowing anyone who would lend them $500 in a time of crisis.
  • Overall, the program encouraged about 100 individuals to open a bank account. Seventy-five percent (n = 774) of recipients chose to receive the money via bank account transfer and 25% via a virtual gift card.
  • Recipients used the cash assistance quickly. On average, $2,769 of the $4,000 was spent within the first month.
  • Car-related expenses ranked as the number one item for planned expenditures, and there was a 41% relative increase in car ownership three months after receiving the money.
  • The program improved self-reported well-being after receiving financial assistance, but the effects faded in the subsequent months.
  • CAAYA recipients increased their use of mental health outpatient therapy by 7% compared to a control group of individuals who were narrowly ineligible for the program. There was no change in utilization of crisis and inpatient services. In contrast to self-reported well-being, the program’s impact on usage of outpatient mental health services persisted for at least eight months after receiving funds.

How is this report being used?

As a result of this program, we are exploring additional opportunities to leverage cash assistance with this population to increase engagement in holistic supports and services. We are also considering longer-term programs with more frequent, smaller payments to targeted populations.  For future programs, we hope to receive state waivers for the impact of cash assistance on public benefits, especially if a program is designed to include ongoing payments.

For other local governments or providers who are considering cash assistance programs, we hope this report serves as a resource for program design and evaluation. Local governments should note that the success of the CAAYA program would not have been possible without our partner organizations. Trust in government significantly impacts the accessibility of services, particularly for marginalized communities. When first hearing about the cash assistance, many individuals who were eligible to receive the money thought that it was a scam. This skepticism was eased by having multiple trusted intermediaries ensure that it was a real program and that they should apply.

The Allegheny County Department of Human Services (DHS) partnered with Pittsburgh Regional Transit (PRT) to launch a transportation assistance program called Allegheny Go. This program offers half-price PRT rides for county residents ages 12 to 64 who receive Supplemental Nutrition Assistance Program (SNAP) benefits, and do not receive any other transit fare discounts. 

Allegheny Go builds on the success of the Allegheny County Discounted Fares Pilot Program, which ran from November 2022 through June 2024.  

This dashboard describes the application process and reports on application statistics and participant demographics.  

DHS has set a goal of enrolling 15,000 participants in Allegheny Go. This dashboard tracks progress towards that goal. Staff monitor how many applications are received, how many are eligible, and make sure eligible participants receive their discounts.  

 

Community Need Index

Current dataset and related materials

What is the Community Need Index?

The Allegheny County Department of Human Services (DHS) conducts a Community Need Index (CNI) to identify specific areas that are in greater need, and face larger socioeconomic barriers, relative to others. The newest version of the CNI index ranks neighborhoods by need level by looking at:

  • The percentage of families who live below the poverty line
  • The percentage of unemployed or unattached males
  • The percentage of those aged 25 and up without at least a Bachelor’s degree
  • The percentage of single parent households
  • The percentage of households without internet access
  • Rate of homicide per 100,000 residents
  • Rate of fatal overdoses per 100,000 residents

The researchers used a census tract level to break up the region and assess needs. Census tracts are static, relatively small subdivisions of a county.

How can I view the findings?

An interactive map allows users to view and extract data from the 2024 CNI (which uses 2022 five-year data estimates and totals). The new report focuses on all of Allegheny County, examines changes in need over time, and places emphasis on the connection between race and community need. Earlier reports are linked below.

What are the takeaways?

  • In Allegheny County, we continue to find the highest levels of need in specific sections of the City of Pittsburgh (Hill District, South Hilltop, parts of the West End, Upper East End neighborhoods, Upper Northside) as well as census tracts outside the City of Pittsburgh (Mon Valley, sections of the Allegheny County River Valley, sections of Penn Hills, sections of Wilkinsburg, Stowe-Rocks).
  • There are vast discrepancies between the lowest need communities, which have an average poverty rate of 2%, and the highest need communities, where the average poverty rate is 38%.
  • With few exceptions, census tract-level community need is persistent over time.
  • Only about one-third of Allegheny County’s Black residents live in lower-need communities. For every other racial and ethnic group in the County, the majority of residents live in lower need communities. Black communities in Allegheny County have disproportionately high levels of need, as do a number of racially mixed communities. 
  • Poverty status alone does not account for where various racial and ethnic groups tend to live by level of need; poor Black and Latino families are more likely than other poor families to live in higher need communities. Even Black families above the poverty line are many times more likely than their Asian, White and Latino peers above the poverty line to live in higher need communities.

How is this report used?

The geographic dimensions of community need can help inform many aspects of DHS’s strategic planning and resource allocation decisions, such as decisions on where to locate Family Centers or new after-school programs.

Where can I go for more information?

For more information, you can read previous reports below. Or you can reach out to DHS-Research@alleghenycounty.us with any questions.

 


Previous reports in this series 

Previous datasets in this series

DHS 2023 Accomplishments

Current information

County human services includes programs from over 300 community-based agencies and is delivered by social workers, peers, and outreach staff working all throughout the county. These staff run out-of-school-time programs, answer hotlines, investigate reports of potential harm to children and vulnerable adults, deliver meals to seniors and run Senior Centers, make home visits to families with newborns, and do the administrative work that makes our human services run efficiently.

What is this report about?

This report highlights the 2023 accomplishments that stood out. There are many, many other achievements that people told us about. We chose the ones that made the biggest difference.

In Allegheny County, a network of shelters provides temporary places to stay for people experiencing homelessness. Allegheny County’s emergency shelter network includes facilities that serve only adults and others that offer spaces to families with children or other dependents (family shelters).

This data brief focuses on the group of approximately 598 people in 184 households that enrolled in one of six family shelters at least once from April 2022 through March 2023. People are eligible for family shelters if they are 1) an adult with a minor child(ren) or a child over 18 years old still enrolled in high school, 2) a woman or couple without a minor child where the woman is in her third trimester of pregnancy, or 3) a couple unable to separate or parent with an adult child where one is caregiving for the other.

See the related data briefs, “People Using Adult-Only Emergency Shelters in Allegheny County” and “People Experiencing Unsheltered Homelessness in Allegheny County for descriptions of other people served in the homeless system

  • Ninety percent (N=165) of heads of household who used family shelters were female and Black individuals were over-represented – 77% of heads of households were Black, but Black individuals only make up 14% of the county. Most households (71%) consisted of an adult female head of household and one or more children. Forty-nine percent of children (N=179) were age 5 or younger at the time they entered a family shelter. An additional 35% were ages 6 through 12 and 16% were ages 13 through 17.
  • Most families had not recently used the shelter system and only stayed once. 84% of families only used shelter once during this period and only 6% had used a shelter or County housing program in the year prior to their first stay.
  • Although half of families stayed in shelter for more than two months, the largest group of families exited within a week of entering. Seventy-nine percent (N=153) of all stays resulted in households exiting to stable housing, which includes a County housing program (32%), housing with family or friends (27%), or an owned or rented property (19%). An additional 19% exited to another shelter.
  • Income is limited for heads of household using family shelters. 70% (N=129) of heads of household self-reported income from any source, with an average monthly income of $923. Additionally, DHS was able to access Pennsylvania Labor and Industry information for 171 individuals in this cohort (93%). Of these heads of household, 47% (N=81) had earnings, with an average monthly income of $1,243.
  • About a third of Medicaid-enrolled heads of household used behavioral health services, most of which were mental health outpatient services. The most common diagnosis was acute stress disorder (30% of people with a diagnosis), a short-term mental health condition that can occur within the first months after experiencing a traumatic event.
  • Asthma was the most common chronic condition for Medicaid-enrolled children using shelter and the second most common for heads of household. Asthma rates for both are twice as high as those in the general Medicaid-enrolled population in the County
  • Fifteen percent of families using these shelters had an active child welfare case in the year prior to their stay. This could indicate the need for additional support and safety nets within the child welfare system or as families transition out of it.

Emergency shelters are meant to be short-term accommodations for people experiencing a crisis. The County’s goal is to ensure that shelter stays are rare, brief and non-recurring.  The County is working with shelter staff and other housing providers to support client moves to stable housing when possible, with the goal of improving their overall outcomes and ensuring that short-term beds are available when people need them. 

Current Information

This dashboard shows trends in the number of people experiencing sheltered and unsheltered homelessness.

What is this dashboard about?

This dashboard displays: 1) the number of people who were active in an emergency shelter program per night dating back to January 2022, as well as basic demographic information on race, gender, and age; and 2) a weekly count of street outreach clients who had experienced unsheltered homelessness at some point in the last 30 days.

What data is available?

Emergency shelter data comes from the Homeless Management Information System (HMIS) and is updated daily. Unsheltered homeless data is updated weekly. Before September 1, 2024 the data came from a document used to facilitate coordination between local street outreach teams; data after September 1, 2024 comes from HMIS, as teams have standardized and expanded data entry in HMIS. 

Those active in local domestic violence emergency shelters are not represented in this dashboard, as domestic violence emergency shelters do not report usage in HMIS. These shelters have the capacity to serve approximately 100 clients per day.