User options for visualizing homeless data include comparing results from 2016 and 2017 for everyone who was homeless or for individuals who were sheltered or unsheltered, and subgroups broken out by gender, ethnicity, age, as well as a menu of detailed population characteristics. Results that can be compared include the size of each population group in 2016 and 2017, as well as the reasons people in each group gave for the cause of their homelessness, and their employment status.
Reliable estimates of time spent homeless during a year are important for an evidence-based intervention framework. Understanding the prevalence of short-term versus persistent episodes of homelessness enables accurate allocation of resources based on differing levels of need. The prevailing approach to homelessness prevention and intervention is “progressive engagement.” This entails treating new entrants into homelessness with a light touch and providing progressively more intensive services as needed to help individuals re-establish themselves in stable housing.
Overview of Data: Fifty-seven files from homeless street counts, demographic surveys of unsheltered individuals, and intake data for shelter residents, along with supporting documentation are available in this data library. These open source, de-identified person records provided by the Los Angeles Homeless Services Authority (LAHSA) are a resource for homeless research.
The Port Authority that oversees LaGuardia, the John F. Kennedy and Newark Liberty international airports is considering a proposal that would raise the minimum wage for 40,000 low wage workers at regional airports to $19 per hour by 2023. If passed, it will create the highest publicly mandated minimum wage in the nation and will deeply impact local communities. An economic stimulus is projected in the communities where workers live. Their increased household spending is projected to increase economic output by over $465 million in 2023 and every year thereafter, creating 2,700 new jobs.
We can’t navigate without a map. If we can't see the whole picture of homelessness, we can't begin to solve the problem. This meta-analysis brings together 26 point-in-time data sets to provide a single panoramic description of people without homes who are living in places not meant for human habitation. In addition to building affordable housing, the path for ending Los Angeles County’s crisis of chronic homelessness is through identifying individuals with a high risk of becoming chronically homeless early after the onset of homelessness and intervening with coordinated system-wide assistance that supports a permanent exit from homelessness before the problem is catastrophic.
The current issue of HUD’s peer-reviewed journal, Cityscape, includes an article on the Silicon Valley Triage Tool that was developed by the Economic Roundtable. This statistical model provides a fair, objective tool for triage—prioritizing which individuals should have immediate access to permanent supportive housing. Santa Clara County voters have approved major investments in affordable housing for people experiencing homelessness, but the number of individuals who need housing still substantially exceeds the amount of housing that is available for them.
Disneyland Resort is the most iconic theme park in the world. Disney’s best-known characters are present in the park and woven into America’s national culture, recognized and celebrated around the world. People share more photographs from their visits to Disneyland than from any other place in the world, making it the most Instagrammed location on earth. However, employees report high instances of homelessness, food insecurity, ever-shifting work schedules, extra-long commutes, and low wages.
Within the past year, Los Angeles County and City voters approved $4.75 billion for services and housing to combat homelessness. The Greater Los Angeles Homeless Count is crucial for identifying how this money should be used to help people escape homelessness. The Count is an increasingly comprehensive effort to count and describe Los Angeles’ homeless residents, but it is not yet sufficiently accurate to identify year-to-year changes in homelessness.
Creating a $15 minimum wage at U.S. airports will provide transformative economic benefits for low-paid air transportation employees who work 24-7 in a fast-paced, noisy environment, providing essential services for airlines and the traveling public. The $15 wage will also generate job growth in businesses where airport workers spend their wages, lift many out of poverty, reduce dependence on public assistance, and boost tax revenues that pay for crucial government services.
This paper explains the methods used to develop the Silicon Valley Triage Tool for identifying homeless individuals in jails, hospitals and clinics who have continuing crises in their lives that create very high public costs. The model is very robust and accurate, taking advantage of advanced prediction methodologies and a unique and exceptionally valuable database created by Santa Clara County, home to Silicon Valley, linking service and cost records across county departments for the entire population of residents who experienced homelessness over a six-year period – a total of 104,206 individuals.
San José, California's third most populous city, regulates rent increases for older apartment units through its Apartment Rent Ordinance (ARO). To help inform policy deliberations by the San José City Council and Housing Department staff, this report analyzes demographic characteristics of ARO tenants, characteristics of ARO apartments, compares ARO allowable rents increases with Rent Stabilization Ordinances in other cities, analyzes the debt-service pass-through, and financial outcomes of ARO rental properties.
Why the Silicon Valley Triage Tool is Important: The number of homeless people needing housing far exceeds the available housing supply, and there is not a fair, objective system for prioritizing who gets to be housed. The triage tool addresses this problem by identifying individuals for whom the solution of housing costs less than the problem of homelessness.