This Indicator measures the rate of felony arrests of juveniles by race/ethnicity adjusted for population. This Indicator is measured for Oakland. Rate is calculated as the number of juvenile felony arrests per 100,000 people of each race/ethnicity that are under 18 years of age. To determine the number of juveniles of each race/ethnicity in Oakland, we took the population by race/ethnicity for all ages and multiplied by the percent of Oakland’s population that is under 18 (19.67%). This approach was necessary due to the lack of exact data available on the under 18 population in Oakland by race/ethnicity.

Unemployment is measured by the percent of the labor force that is unemployed. The labor force includes all individuals aged 16 and older who are either employed or unemployed and looking for work. Individuals in the armed forces are excluded from this measure.

This Indicator measures the percent of storm drains that have not been adopted through Oakland’s Adopt a Drain Program. Through this program, volunteers help to clean storm drain inlets throughout the city. This Indicator measures disparities in program participation by the majority race/ethnicity of census tracts.

This Indicator measures severe mental illness related emergency department visits per 100,000 by race/ethnicity, from 2013 through the third quarter of 2015. Severe mental illness is often defined by its length of duration and the disability it produces. These illnesses include disorders that produce psychotic symptoms, such as schizophrenia and schizoaffective disorder, and severe forms of other disorders, such as major depression and bipolar disorder.

This Indicator measures the rate of discretionary stops per 1,000 people in Oakland by race/ethnicity. “In 2016 through 2017, officers were required to complete stop data forms after every discretionary detention or arrest, and discretionary encounters in which a search or request to search occurred. Discretionary stops and searches exclude detentions and arrests that occurred as the result of a dispatched call for service, a citizen request, or for stops occurring pursuant to search warrants.” (Source: Oakland Police Department’s 2016- 2017 Stop Data Report)

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 percent of individuals living in housing units without access to high speed Internet, defined as broadband Internet service such as cable, fiber optic, or DSL service.

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 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.

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.