San Jose lays out data and costs for 'functional zero' unsheltered homelessness target; staff model finds a multi‑year capital and operating price tag

San Jose housing officials presented a data‑driven assessment and a proposed framework for reducing unsheltered homelessness during the City Council’s budget study session. The presentation introduced a city target number, an inventory of current shelter capacity, and a multi‑year estimate of capital and operating costs for reaching a “functional zero” goal for unsheltered people.

The nut graf: Housing Department staff said the city’s modeling — an analysis that combined point‑in‑time counts, HMIS (the homeless services information system), city outreach tallies and other datasets — estimates about 5,477 people are unsheltered in San Jose today. Staff said the current system of operating shelter and interim beds plus near‑term production (hotels, safe parking, tiny homes) yields roughly 1,871 available spaces; the difference — roughly 3,000 additional spaces — is the quantified gap in the staff model.

Eric Sullivan, the city’s housing director, and his team described three analytic parts: defining demand, cataloging supply, and identifying the gap. The presentation broke shelter supply into county‑run congregate shelter, city‑operated hotel/motel shelter and safe‑parking/safe‑sleeping options, and interim housing. Staff said the county manages many congregate beds and the city has taken primary responsibility for a large and growing interim housing portfolio.

Cupid Alexander, deputy director for homelessness response, explained the concept of “functional zero”: when the number of people exiting homelessness consistently exceeds the number entering it. Cupid emphasized that functional zero does not mean homelessness is eradicated but rather that inflow is controlled and the system keeps pace with need by scaling prevention and rapid rehousing, interrupting the chronic‑homelessness pathway, and offering lower‑barrier options for people reluctant to enter traditional shelters.

Staff presented numbers and cost estimates: they reported 2,968 existing units/beds in the combined system and roughly 1,723 more units in production or near‑term activation. Adding current production gives about 1,871 usable spaces the city expects under current council direction; comparing that supply to the 5,477 target produced an estimated gap of about 3,064 beds/spaces. For full expansion of the shelter system to meet the 5,477 target, staff estimated a one‑time capital cost on the order of $255 million and incremental annual operating costs around $234 million. Sullivan and budget staff said cost reductions are possible — staff proposed a 20% target savings in per‑unit production and operational costs through standardization, economies of scale and renegotiated contracts for security, maintenance and food services.

The presentation stressed tradeoffs and partnerships. Housing staff highlighted that interim shelter and hotel conversions are less expensive and faster than building permanent supportive housing (PSH), but interim models require ongoing operating subsidies and are not revenue‑generating like rental housing. Banu Sainz, who oversees housing production, explained the capital stack for permanent housing: low‑income housing tax credits, state/federal subsidy programs, local loans and private financing. Staff said converting interim sites to permanent housing over time is an intended strategy but requires long lead times and competing subsidies.

Staff also discussed the segment of people described as “program resistant” — individuals who decline shelter or have complex behavioral‑health needs and do not engage with offerings. Deputy director Alexander said the city is working on low‑barrier and harm‑reduction options (safe parking, safe sleeping, outreach) and on building trust through consistent engagement. Councilmembers asked about treatment capacity and the county’s role; staff said the county has some commitments (for example, board‑and‑care and treatment beds) but added that scaling behavioral‑health and treatment resources is a county and state responsibility.

Council reaction: members praised the data and modeling and asked detailed questions about sustainability, the county’s role, prevention investments, program performance and the long‑term cost tradeoffs between sheltering and PSH. Mayor Matt Mahan said the modeling was a useful advance over previous “back‑of‑the‑envelope” estimates and warned that solving the problem will require multi‑year work and new revenues or partnerships.

Ending: Staff urged the council to consider the model as a planning tool and said they will continue to refine cost and operational assumptions, pursue standardization savings, and work with the county, philanthropic partners and the state to develop the capital and operating financing needed to scale shelter and permanent housing.