(May 2019) Preliminary reports released by Continuums in San Francisco, Oakland, and San Jose showed signficant increases in the one-day estimate of homelessness in comparison to their previous 2017 counts.
San Francisco: 17% from 6,858 (2017) to 8,011 (2019)
Oakland/Alameda County: 43% from 5,629 (2017) to 8,022 (2019)
San Jose/Santa Clara County: 35% from 7,294 (2017) to 9,706 (2019)
Full reports on the breakdown of the 2019 PIT count have not yet been released. It is important to understand the differential changes among people living in shelters, living in RVs, cars, or tents and encampments. These represent different populations with the need for difference interpretations. HUD continues to lump all unsheltered persons together - which is not helpful in understanding the trends in the situation. The media also does not tend to differentiate between those living in shelters which is generally a function of shelter capacity and those not living in shelters.
Persons living in RVs should not be considered homelessness according to the NHIP. Assistance can be provided to this group, but defining them as homeless is another large stretch of the definition which makes it meaningless.
(April 2019) The California counties of Orange, Riverside and San Bernardino have all reported significant increases in the estimates of one-day homelessness from their 2019 counts as compared to their counts in 2018 and 2018. A common theme among counties is the implementation of mobile apps that have increased count accuracy by reducing the time recording homeless encounters allowing for increased coverage and reducing arithmatic mistakes. Preliminary data from the NHIP 2019 PIT Survey show that an increasing number of CoCs are utilizing Mobile Apps although problems still exist in reaching all geographic areas and having sufficient capacity to complete the count. Highlights from the three counts include:
ORANGE COUNTY 2019 PIT
RIVERSIDE COUNTY 2019 PIT
SAN BERNARDINO COUNTY 2019 PIT
The other large cities of San Francisco, Los Angeles, Oakland, Long Beach, San Diego and Santa Clara/San Jose have not publicly released any data.