This Indicator measures the age adjusted rate of acute 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 #91, the acute composite, is a summary measure which includes bacterial pneumonia, urinary tract infection, and dehydration preventable hospitalizations for adults. ”(Source:http://www.healthyalamedacounty.org/indicators/index/view?indicatorId=2480&localeId=2 38)

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 percent of teachers who turned over between the 2016-17 and 2017-18 school years at OUSD schools (data from charters and private schools were not available). Turnover percents are calculated at a school level out of the total number of teachers at that school. Schools are placed into groups based on the racial and ethnic breakdown of their student population (see note below data table for full explanation of grouping). Average teacher turnover percent is then calculated for each group of schools.

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.

This Indicator measures the number of infant deaths for every 1,000 live births from 2014- 2016.

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 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.

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 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)

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