- API
Geographic Equity Static Map Template
data.oaklandca.gov | Last Updated 2022-02-28T19:01:53.000ZThe Oakland Department of Transportation's Race and Equity Team created a Geographic Equity Toolbox to help identify priority neighborhoods. We have uploaded a zip file containing a Layer Package that will enable users to open and edit the data used in the Geographic Equity Toolbox on ArcGIS Desktop (ArcMap).
- API
Campaign Finance - FPPC Form 461 - Major Donor and Independent Expenditure Committee Statement - Part 5 - Contributions (Including Loans, Forgiveness of Loans, and Loan Guarantees) and Expenditures Made
data.oaklandca.gov | Last Updated 2024-07-17T13:35:24.000ZThis dataset includes all itemized Contributions (Including Loans, Forgiveness of Loans, and Loan Guarantees) and Expenditures Made ($100 or more) e-filed on Fair Political Practices Commission (FPPC) Form 461 "Part 5" Contributions (Including Loans, Forgiveness of Loans, and Loan Guarantees) and Expenditures Made from 2011 to the present. The data is current as of the last modified date on this dataset. See the data key for column definitions: https://data.sfgov.org/Ethics/Campaign-Finance-Data-Key/wygs-cc76
- API
Campaign Finance - FPPC Form 460 - Schedule D - Summary of Expenditures Supporting/Opposing Other Candidates, Measures and Committees
data.oaklandca.gov | Last Updated 2024-07-17T13:34:24.000ZThis dataset includes all itemized expenditures supporting/opposing other candidates, measures and committees ($100 or more) e-filed on Fair Political Practices Commission (FPPC) Form 460 Schedule "D" Expenditures Supporting/Opposing Other Candidates, Measures and Committees from 2011 to the present. The data is current as of the last modified date on this dataset. See the data key for column definitions: https://data.sfgov.org/Ethics/Campaign-Finance-Data-Key/wygs-cc76
- API
Campaign Finance - FPPC Form 460 - Schedule F - Accrued Expenses (Unpaid Bills)
data.oaklandca.gov | Last Updated 2024-07-17T13:30:55.000ZThis dataset includes all itemized accrued expenses ($100 or more) e-filed on Fair Political Practices Commission (FPPC) Form 460 Schedule "F" Accrued Expenses (Unpaid Bills) from 2011 to the present. The data is current as of the last modified date on this dataset. See the data key for column definitions: https://data.sfgov.org/Ethics/Campaign-Finance-Data-Key/wygs-cc76
- API
Incarceration
data.oaklandca.gov | Last Updated 2020-11-10T16:11:47.455ZThe Incarceration Topic includes three Indicators that measure racial and ethnic disparities in adult felony arrests, jail incarceration, and prison incarceration. The first Indicator measures disparities in adult felony arrests between African Americans and Asians. The second Indicator measures disparities in jail incarceration between African Americans and Asians. The third Indicator measures disparities in prison incarceration between African Americans and Asians. In all three indicator areas the disparities between African American and White residents were nearly as large.
- API
Equity Indicators by Least Equitable Score
data.oaklandca.gov | Last Updated 2018-08-07T15:35:31.000ZThe 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).
- API
Equity Indicator Scores
data.oaklandca.gov | Last Updated 2018-08-06T22:37:42.000ZThe 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).
- API
Adult Felony Arrests
data.oaklandca.gov | Last Updated 2018-10-01T22:14:15.000ZThis Indicator measures the rate of adult felony arrests by race/ethnicity adjusted for population. Rate is calculated as the number of adult felony arrests per 100,000 people of each race/ethnicity that are 18 years of age and older. To determine the number of adults 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 18 and over (80.33%). This approach was necessary due to the lack of exact data available on the 18 and over population in Oakland by race/ethnicity.
- API
Equity Indicators Ratio-to-Score Conversion
data.oaklandca.gov | Last Updated 2018-07-30T21:04:36.000ZThe standard approach for scoring Indicators is to calculate the ratio between the outcomes for the least and most advantaged racial/ethnic groups. This ratio is then converted to an Equity Score using a standard 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.
- API
Equity Background
data.oaklandca.gov | Last Updated 2020-11-10T16:45:54.688ZOakland has a long history of activism around issues of justice and equity. Both oppression and this resistance to oppression have shaped the city’s past and the lives of its residents to this day. It is, therefore, not surprising that Oakland was chosen in 2017 to be among the first cohort of five cities to develop local Equity Indicators tools in partnership with the City University of New York’s Institute for State and Local Governance (CUNY ISLG) and with funding from the Rockefeller Foundation.