This Indicator measures the percent of householders who do not own their homes. The percent of householders living in owner-occupied units does not consider other properties that may be owned by individuals within the household. This Indicator measures whether the householder owns the unit in which s/he lives.

This Indicator measures the number of service requests received by the Oakland Call Center for illegal dumping as a rate per 1,000 people in each census tract. The census tracts are grouped based on majority race/ethnicity. Service requests that were canceled were excluded from the analysis.

The equal access accommodations Indicator is measured by comparing the percent of public contact position (PCP) employees who speak Spanish to the percent of Spanish speakers who have limited English proficiency (LEP) citywide. The Equal Access to Services Ordinance includes a requirement for City departments to offer bilingual services based on citywide demographics. In FY2016-2017, the two languages required by the ordinance were Spanish and Chinese. We chose to measure Spanish-speaking PCP employees for this Indicator because Spanish speakers comprise a larger proportion of the population.

This Indicator is measured by the percent of employed individuals who are not employed in industries with a mean annual wage of at least $80,000. In 2016, these industries included management occupations; legal occupations; healthcare practitioners and technical occupations; computer and mathematical occupations; architecture and engineering occupations; life, physical, and social science occupations; and business and financial operations occupations. (Source: Occupational Employment Statistics, CA Employment Development Department https://data.edd.ca.gov/Wages/Occupational-Employment- Statistics-OES-/pwxn-y2g5)

This Indicator measures substance abuse related emergency department visits per 100,000 by race/ethnicity, from 2013 through the third quarter of 2015. Substance abuse related emergency department visits refers to cases that involved non-medical use of pharmaceuticals, illicit drugs, or alcohol in combination with other drugs.

This Indicator measures access to different types of financial institutions by zip code. “Good” institutions include banks, credit unions, and savings institutions. “Bad” institutions include check cashing services, money transfer services, and payday loan institutions. The ratio between the number of bad institutions and the number of good institutions is calculated for each zip code. A higher ratio of bad-to-good institutions means that there are disproportionately more bad institutions in a given zip code. The Indicator then measures the ratio of these ratios, comparing zip codes in which more than 60% of the population is non- White to those in which more than 60% of the population is White. The third category of zip codes is those in which the population is racially and ethnically mixed.

This Indicator measures the percent of individuals who live in housing units that do not have complete plumbing facilities. Complete plumbing facilities include hot and cold water and a bathtub or shower.

The measurement is percent of children within OUSD who are chronically absent. Chronic absence is defined as an attendance rate of 90% or less (missing 18 or more days in a 180 day school year), regardless of whether the absences are excused or unexcused. It is not the same as Truancy. Alternative Education schools are not included in the data.

This Indicator measures the percent of individuals who live in households in which at least one household member received SNAP (Supplemental Nutrition Assistance Program) benefits in the past 12 months, by race/ethnicity.

This Indicator measures the likelihood of individuals living in overcrowded housing, which is defined as housing units that have more than 1.5 people per room. Persons-per-room is the most common measure for overcrowding in housing, and 1.5 is a widely accepted threshold above which there are impacts on health and personal safety. (Source: https://www.huduser.gov/publications/pdf/measuring_overcrowding_in_hsg.pdf)