Jail incarceration rates are measured by the number of incarcerated individuals in jail per 100,000 population aged 18-69. This Indicator is measured for Alameda County, and the most recently available data is from 2015.

This Indicator measures the rate of use of force on subjects per 100,000 people in Oakland by race/ethnicity. Note: There were 10 incidents of use of force that were on a crowd. For these incidents, the number and race/ethnicity of subjects were not available. Therefore, each was counted as one incident in the Citywide total. This will somewhat undercount the true total of people subjected to use of force and will potentially misrepresent the true racial and ethnic breakdown as well.

This Indicator measures the percent by race/ethnicity of Prime contractors for construction and professional services contracts who received under $100,000. Additional data is provided on the average amount received by these contractors. Data is from fiscal year 2015-16 and the date used to assign contracts to a fiscal year is the date that the compliance analysis was completed, or the review date. The dollar amounts represent the initial award; any negotiated bid amounts or change orders are not taken into account. The initial award is adjusted to how much of the total contract went to the Prime as opposed to Subprime contractors.

The measurement is percent of students by race/ethnicity who scored “Standard Not Met” on their SBAC ELA test in 3rd grade. The SBAC is California's state-mandated test for all students starting in 3rd grade. Scores only include students enrolled in OUSD schools, not charters or private schools.

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 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 age-adjusted rate of asthma-related emergency department visits per 100,000 children under 5 years of age. Data is from 2013 through the third quarter of 2015.

This Indicator measures the percent of the unemployed population (ages 16 and up) in Oakland by race/ethnicity who did not participate in the City of Oakland’s Workforce Development program between 7/1/2016 and 6/30/2017. The percent that did participate for each race/ethnicity is calculated by dividing number of participants of that race/ethnicity by the number of unemployed people in the labor force in Oakland of that race/ethnicity. Percent that did not participate is 100% minus the percent that did participate. NOTE: Participation is not the most meaningful metric, but was the data available. In the future, we hope to replace this with a measurement of exit outcomes for participants by race/ethnicity (i.e., did participants successfully find jobs?).

This Indicator measures the percent of students who are still enrolled in high school after four years. Data is also provided on percent who graduated/completed high school within four years and percent who dropped out. The most recent year of OUSD graduation data is from 2015-16, so the cohort began 9th grade in 2012-13. Students who leave OUSD (but not from dropping out) are removed from the cohort, and students who enroll after 9th grade are added. GED completion and Special Ed Certification are included as types of completion.

The measurement is percent of OUSD students by race/ethnicity who were suspended at any point in the school year. This is only measuring out-of-school suspensions, not on-campus suspensions or office referrals that did not result in removing a student from school. It includes all students who were enrolled at any point during the school year for any number of days.