This Indicator measures the rate of homicides in Oakland by race/ethnicity. Rate is calculated as the number of homicides per 100,000 people of the same race/ethnicity (of any age).

This Indicator measures the residential parcels that required a Level 1 or Level 2 evaluation of the group floor for a soft-story retrofit. Potential soft story buildings were identified through a 2008 screening of buildings permitted for construction before January 1, 1991, with parking or commercial on the ground floor, with five or more residential units, without previous soft story retrofits, and at least two stories. Some of these buildings were marked exempt or had incomplete evaluations, so this Indicator only measures those that were officially identified as soft story in 2014. In future years, we hope to measure the percent of identified soft story buildings that have been retrofitted.

This Indicator measures the age-adjusted rate of chronic diseases preventable hospitalizations. “Preventable hospitalizations” are inpatient hospital stays that could have been avoided with improved access to and quality of outpatient care. They are measured by prevention quality indicators (PQIs). PQI #92, the chronic composite, is a summary measure which captures preventable hospitalizations from diabetes-related, respiratory-related and circulatory system-related preventable hospitalizations for adults, such as uncontrolled diabetes, asthma, and heart failure.(Source:http://www.healthyalamedacounty.org/indicators/index/view?indicatorId=2480&locale Id=238)

This Indicator compares 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. Data is from 2013 through the third quarter of 2015.

The measurement is the rate of teachers per 1,000 students of the same race/ethnicity in OUSD, in other words how representative are the teachers of the student population? Numbers of teachers and students were calculated from percents of the total number given in OUSD’s Fast Facts report.

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 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 of business addresses that have been identified as “vacant” by the United States Postal Service (USPS) for at least two years. Data is collected and aggregated at the census tract level by the USPS on a quarterly basis.

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 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 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)