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106 Results
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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.
Updated
October 1 2018
Views
158
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.
Updated
October 1 2018
Views
138
Dataset
The measurement is percent of teachers who were paid on salary steps 1-5 at OUSD schools (data from charters and private schools were not available). Salary steps are a proxy for teaching experience, as teachers move one step up the salary schedule for each year of teaching. In theory, teachers on salary steps 1-5 have between 1-5 years of teaching experience (not just in OUSD, but anywhere). However, it is important to note that salary steps are just a proxy and not always exactly equal to years of teaching experience.
Percents are then calculated at the school level by dividing the number of teachers on salary steps 1-5 by 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 percent of teachers on salary steps 1-5 is then calculated for each group of schools.
Updated
October 1 2018
Views
139
Dataset
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.
Updated
October 1 2018
Views
187
Dataset
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.
Updated
October 1 2018
Views
167
Dataset
This Indicator measures the percent of the population that does not have health insurance coverage by race/ethnicity.
Updated
October 1 2018
Views
133
Dataset
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.
Updated
October 1 2018
Views
157
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?).
Updated
October 1 2018
Views
156
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.
Updated
October 1 2018
Views
160
Dataset
This Indicator measures the rate of domestic violence victimization in Oakland by race/ethnicity. Rate is calculated as the number of domestic violence incidents per 100,000 people of the same race/ethnicity (of any age).
Updated
October 1 2018
Views
152
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