Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates). This indicator is based on self-report and includes adults who drink at least one sugar-sweetened beverage daily. Sugar-sweetened beverages include sodas, such as Coke, Pepsi, Dr. Pepper, or Sprite, or sweetened drinks, such as Gatorade, Red Bull, or Sunny Delight. Drinks NOT included are diet sodas, sugar-free drinks, or 100% fruit juice.Sugar-sweetened beverages or sugary drinks are leading sources of added sugars in the American diet. Frequently drinking sugar-sweetened beverages is associated with weight gain, obesity, type 2 diabetes, heart disease, and kidney diseases, among other conditions. Cities and communities can take an active role in limiting sugar-sweetened beverage consumption by promoting health education and awareness, adopting policies such as additional taxes on sugar-sweetened beverage purchases, and by supporting healthy food retail.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

AutoTrain Dataset for project: testtextexists

  Dataset Description

This dataset has been automatically processed by AutoTrain for project testtextexists.

  Languages

The BCP-47 code for the dataset's language is en.

  Dataset Structure







  Data Instances

A sample from this dataset looks as follows: [ { "text": "According to the National Soft Drink Association, the annual consumption of soda by the U.S. citizens is 600… See the full description on the dataset page: https://huggingface.co/datasets/LiveEvil/autotrain-data-testtextexists.