Benchmarking 0667000-06075010700 in San Francisco against all neighborhoods
0667000-06075010700 in San Francisco has the 5th-least binge drinking among adults (10.6%) among the 195 California neighborhoods in San Francisco. That 10.6% compares to an average of 21.8% and standard deviation of 5.2% across those 195 California neighborhoods.
0667000-06075010700 has these related standings among those 195 California neighborhoods:
0667000-06075010700 has these related standings among those 195 California neighborhoods:
- binge drinking among adults = 10.6% (5th-least)
- current smoking among adults = 16.7% (19th-most, tied)
- adults with no leisure-time physical activity = 36.6% (5th-most)
- adult obesity = 14.9% (39th-least, tied)
- adults who sleep less than 7 hours = 35.6% (20th-most)
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Peers
beat out by 0667000-06075061100 in San Francisco (7.6%), 0667000-06075017801 in San Francisco (9.1%), 0667000-06075011800 in San Francisco (9.5%), and 0667000-06075980501 in San Francisco (10.4%).
beat 0667000-06075011300 in San Francisco (10.7%), 0667000-06075012502 in San Francisco (13%), 0667000-06075023001 in San Francisco (14.3%), and 0667000-06075026401 in San Francisco (14.5%), and 186 others, ending with 0667000-06075980300 in San Francisco (35%).
beat 0667000-06075011300 in San Francisco (10.7%), 0667000-06075012502 in San Francisco (13%), 0667000-06075023001 in San Francisco (14.3%), and 0667000-06075026401 in San Francisco (14.5%), and 186 others, ending with 0667000-06075980300 in San Francisco (35%).
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
- binge drinking among adults. Lower values are better. 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.
- 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.