- API data.oaklandnet.com | Last Updated 2018-10-01T22:14:27.000Z
This Indicator measures the rate of new HIV diagnoses per 100,000 population for each racial and ethnic group from 2014-2016 in Alameda County. The Alameda County Public Health Department’s HIV Epidemiology and Surveillance Unit is required to report new HIV diagnoses, which is a proxy for new HIV transmissions which are difficult to capture.
- API data.oaklandnet.com | Last Updated 2018-10-01T22:14:12.000Z
This Indicator measures the percent of homeowners who have a mortgage or loan on their homes. Outstanding debt distinguishes these homeowners from those who own their homes free and clear and no longer need to make mortgage or loan payments.
- API data.oaklandnet.com | Last Updated 2018-08-07T15:35:31.000Z
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).
- API data.oaklandnet.com | Last Updated 2018-09-04T15:46:57.916Z
The Enrollment Topic includes three Indicators that measure racial and ethnic disparities in preschool enrollment, chronic absenteeism, and high school on-time completion. The first Indicator measures disparities in preschool enrollment between Latinos and Whites. The second Indicator measures disparities in chronic absenteeism between African Americans and Asians. The third Indicators measures disparities in how many high school students are still enrolled after four years between Latinos and Whites.
- API data.oaklandnet.com | Last Updated 2018-10-01T22:14:13.000Z
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.
- API data.oaklandnet.com | Last Updated 2016-08-24T00:19:56.000Z
Summary: This layer was created to depict industrial land areas present in 1968. The layer is intended to contribute to a larger mapping and modeling effort designed to spatially depict land areas that may be sources of Polychlorinated Biphenyls (PCBs) or mercury in the San Francisco Bay Area. The land areas are termed “old industrial” due to their presence prior to roughly 1970, the timeframe when PCB production in the U.S. ceased. Old industrial land parcels in Alameda, Contra Costa, San Mateo, Santa Clara and Solano counties are depicted. Parcels in the datalayer are defined via the most currently available assessor’s parcel data for each county.
- API data.oaklandnet.com | Last Updated 2018-08-07T15:36:11.000Z
- API data.oaklandnet.com | Last Updated 2018-10-01T22:14:43.000Z
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.
- API data.oaklandnet.com | Last Updated 2018-10-01T22:14:45.000Z
This Indicator measures overall ratings for Oakland parks and compares average scores by City Council District. The overall ratings were based on an annual survey that assigned parks letter grades (A through F), which corresponded to scores (A=4, B=3, C=2, D=1 and F=0). In addition to Council District scores, the scores for parks surrounding Lake Merritt were reported as an average Lakeside score. The survey also included questions about greenery, amenities, recreation areas, and homeless encampments. For a map of the City Council Districts, see here: http://www2.oaklandnet.com/oakca1/groups/ceda/documents/image/oak044524.pdf.
- API data.oaklandnet.com | Last Updated 2018-09-04T15:51:24.247Z
The Access to Preventive Care Topic includes two Indicators that measure preventable hospitalizations related to acute and chronic disease, and one that measures health insurance. Non-White Oaklanders are more likely to be hospitalized for conditions that could have been prevented by having better access to preventive care. They are also more likely to be uninsured, which is a major deterrent to accessing preventive health services. Poverty and immigration status may make it even more likely for racial and ethnic minorities to lack insurance and forego needed care.