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* Metric Name: Housing Burden Percentile *  

* Tier: 1  

* Data Vintage: 10/2021  

* Unit Of Measure: Percent, 0 to 100  

* Represent element and pillar: Yes  

* Type and distribution of data: Asymmetric distribution representing percent values. Raw data range from 0.038 to 100.  

* Translation: Where is housing burden percentile the lowest?  

* Translation method and outcome: Raw data values translated to **** range from +1 to -1 representing more favorable to less favorable conditions, respectively, with investments begin directed at less favorable areas to improve conditions, in this case to infuse resources into communities that are most in need. **** The proposition of more favorable is based on the objective of understanding where community investments are less critical (negative linear slope). More favorable (translated to +1) set at 0.038% low income household populations, and less favorable (translated to -1) set at 100% low income household populations. 

Figure 179. Histogram and scoring criterion of current condition for housing
burden percentile across the Southern California

Figure 180. Histogram of translated current condition for housing burden
percentile across the Southern California

Figure 181. Maps displaying raw metric and translated metric of current
condition for housing burden percentile across the Southern California

  

* Metric Definition and Relevance: Housing-Burdened Low-Income Households. Percent of households in a census tract that are both low income (making less than 80% of the HUD Area Median Family Income) and severely burdened by housing costs (paying greater than 50% of their income to housing costs). (5-year estimates, 2013-2017).

The cost and availability of housing is an important determinant of well-
being. Households with lower incomes may spend a larger proportion of their
income on housing. The inability of households to afford necessary non-housing
goods after paying for shelter is known as housing-induced poverty. California
has very high housing costs relative to much of the country, making it
difficult for many to afford adequate housing. Within California, the cost of
living varies significantly and is largely dependent on housing cost,
availability, and demand.

Areas where low-income households may be stressed by high housing costs can be
identified through the Housing and Urban Development (HUD) Comprehensive
Housing Affordability Strategy (CHAS) data. We measure households earning less
than 80% of HUD Area Median Family Income by county and paying greater than
50% of their income to housing costs. The indicator takes into account the
regional cost of living for both homeowners and renters, and factors in the
cost of utilities. CHAS data are calculated from US Census Bureau’s American
Community Survey (ACS).

  

* Credits: California Environmental Protection Agency, CalEnviroScreen 4.0 \--Office of Environmental Health Hazard Assessment, CAL EPA