Equity Indicator Scores

data.oaklandnet.com | Last Updated 6 Aug 2018

The Indicators chosen represent the best proxies we could find for the complex disparity themes we set out to measure. The following criteria were used to determining the indicators included in each of the topics in the final framework: 1. Data is available, high quality, and from a reliable source. 2. We will be able to calculate change over time (i.e., data is updated and accessible on an annual basis and changes from year to year can be meaningfully interpreted). 3. There is a strong causal model for why this Indicator matters (i.e., we understand the context behind the Indicator and how disparities affect people). 4. The data accurately represents the impact of inequity on people’s lives (e.g., not measuring quantity when what matters is quality).

This dataset has the following 8 columns:

Column NameAPI Column NameData TypeDescriptionSample Values
ThemethemetextThemes that cover broad areas of people’s live
TopictopictextTopics allow the broad Themes to be discussed and analyzed at a more detailed level
Indicator Orderindicator_ordertext
IndicatorindicatortextIndicators are the specific quantifiable metrics that are used to measure equity within each Topic and Theme
Equity Indicator Scoreindicator_scorenumberEquity Score created by calculating the ratio between the outcomes for the least and most advantaged racial/ethnic groups using an algorithm developed by CUNY ISLG. Scores are on a scale from 1 to 100, with 1 representing the highest possible inequity and 100 representing highest possible equity.
Report Yearreport_yearnumberYear of the report. Actual data years will be for the prior year if not an average of prior years depending on the data source
Indicator Datasetindicator_datasettext
SourcesourcetextThe specific data source for each Indicator is noted in the explanation of that Indicator. Generally, data came from two different types of sources: publicly available data and internal City administrative data. The two most frequently used publicly available data sources were the Census Bureau’s American Community Survey and the Oakland Unified School District’s (OUSD) dashboards. We also requested Oakland-specific data from the Alameda County Department of Public Health for many of our Public Health Indicators. Internal City administrative data was either already publicly available or obtained by request from specific departments (such as the Oakland Police Department).