Benchmarking 0667000-06075032901 in San Francisco against all neighborhoods
0667000-06075032901 in San Francisco has the 2nd-least adult obesity (12.9%) among the 195 California neighborhoods in San Francisco. That 12.9% compares to an average of 17.4% and standard deviation of 3.6% across those 195 California neighborhoods.
Beating the average of 17.4% means a decrease of 224.8 obese adults over time, with an estimated saving of $20,734,428 based on a lifetime societal and public-health cost of $92,235 per obese adult (see References below).
0667000-06075032901 has these related standings among those 195 California neighborhoods:
Note that adult obesity correlates (0.8) with adults with no leisure-time physical activity. But on the latter, 0667000-06075032901 in San Francisco (with 18.9%) is higher (i.e., worse) than the median (16.6%) of those 195 California neighborhoods.
Beating the average of 17.4% means a decrease of 224.8 obese adults over time, with an estimated saving of $20,734,428 based on a lifetime societal and public-health cost of $92,235 per obese adult (see References below).
0667000-06075032901 has these related standings among those 195 California neighborhoods:
- adult obesity = 12.9% (2nd-least, tied)
- arthritis among adults = 17.2% (65th-most, tied)
- high blood pressure among adults = 27.6% (57th-most, tied)
- coronary heart disease among adults = 4.9% (64th-most, tied)
- diagnosed diabetes among adults = 9.8% (57th-most, tied)
- adults with mental health not good for at least 14 days = 8.5% (51st-fewest, tied)
- stroke among adults = 2.2% (78th-most, tied)
Note that adult obesity correlates (0.8) with adults with no leisure-time physical activity. But on the latter, 0667000-06075032901 in San Francisco (with 18.9%) is higher (i.e., worse) than the median (16.6%) of those 195 California neighborhoods.
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Peers
0667000-06075032802 in San Francisco is first with 12.6%.
tied with 0667000-06075011000 in San Francisco, 0667000-06075032902 in San Francisco, and 0667000-06075035100 in San Francisco, all with 12.9%.
beat 0667000-06075033100 in San Francisco (13%), 0667000-06075032801 in San Francisco (13.1%), 0667000-06075032601 in San Francisco (13.2%), and 0667000-06075011300 in San Francisco (13.4%), and 186 others, ending with 0667000-06075023103 in San Francisco (36.2%).
tied with 0667000-06075011000 in San Francisco, 0667000-06075032902 in San Francisco, and 0667000-06075035100 in San Francisco, all with 12.9%.
beat 0667000-06075033100 in San Francisco (13%), 0667000-06075032801 in San Francisco (13.1%), 0667000-06075032601 in San Francisco (13.2%), and 0667000-06075011300 in San Francisco (13.4%), and 186 others, ending with 0667000-06075023103 in San Francisco (36.2%).
Taking Action
Insert recommendations for community action or improvement, based on the highlighted measures and their comparative outcomes, and optionally dependent on a specified geography or other attribute.
References
- in city. All source data come from the 2018 release of 500 Cities: Local Data for Better Health which states: This dataset includes 2016, 2015 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation [...] It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities.
- adult obesity. Lower values are better. The estimate of $92,235 per person for the lifetime societal and public-health cost of obesity is reported in this article. All source data come from the 2018 release of 500 Cities: Local Data for Better Health which states: This dataset includes 2016, 2015 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation [...] It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities.