Link to this guide: ucberk.li/stats4dlab.
"Research users are not passive recipients of distilled wisdom, they are active agents of critique and creative analysis."
- from "How to 'QuantCrit:' Practices and Questions for Education Data Researchers and Users," W. Castillo and D. Gillborn, 2018.
This guide includes only a small number of selected sources for health statistics and data. Many more, as well as tips for using data, may be found on the Bioscience, Natural Resources & Public Health Library's Health Statistics & Data guide.
Please also see the Licensed Data Sources guide for information on how to access these data.
Still can't find what you need? Ask!
Lots of health data comes from surveys. Here are some issues to consider when looking at survey or estimated data:
(Adopted from information on the UCSF Family Health Outcomes Project web site, and from How to “QuantCrit:” Practices and Questions for Education Data Researchers and Users)
Reliable data collection: relatively free from "measurement error."
Validity refers to how well a measure assesses what it claims to measure
(Adopted from Chapter 3, Conducting research literature reviews: from the Internet to paper, by Arlene Fink; Sage, 2010.)
"Before COVID-19, many people seemed to have believed that every death in the United States - indeed in the world - was accurately registered in some universally accessible system that would serve as an eternal record of who died from what and when. Perhaps one of the silver linings of the pandemic has been that it has exposed that notion as fantasy."
Here's a post from one of my favorite blogs, AEA365: A Tip-a-Day by and for Evaluators:
Towards a “post p < 0.05 era” by Tamara Young, which addresses the decades-old and highly contentious debate about null hypothesis statistical significance testing. The post includes some “Rad Resources“ as well as some tips for evaluators.
Also of note: Don’t Let the P in P Value Stand for Privilege, by Heather Krause. It offers an easy to understand message: a problem experienced by a large group is considered "real" while the very same problem experienced by smaller groups is dismissed as "chance."
This blog post explains, in the most elementary language possible, how even simple statistics vary depending on who you ask, ie, where you put the locus of power in your analysis.
Statistics and data are available for a lot of things that maybe aren't directly "health" but are very much relevant to public health. Here's a few to pique your interest
Data and Statistics, California Department of Education
Data on school enrollment, non-English language learners, free lunch numbers, teacher data, class size, and much more.
Calif. Dept of Alcoholic Beverage Control: License Lookup
Find liquor stores, bars, etc. by address, census tract, city, etc. Can also search by business name, licensee name, license number.
Traffic Operations (CalTrans)
Traffic volumes, truck traffic, and ramp volume for California state highways. View tables, or download data as Excel files.