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Self-published

National Neighborhood Data Archive (NaNDA): Eating and Drinking Places by Census Tract and ZCTA, United States, 1990-2022 (ICPSR 208751)

Released/updated on: 2026-07-06
Time period: 1990-01-01--2021-12-31

This dataset provides annual measures of the number and density of eating and drinking places — including bars and night clubs, retail bakeries, coffee shops, fast food restaurants, delis, pizza restaurants, and sit-down restaurants — per census tract and ZIP Code Tabulation Area (ZCTA) across the United States from 1990 through 2022. Data are derived from the National Establishment Time Series (NETS) database and are available for four geographies: Census Tract 2010, Census Tract 2020, ZCTA 2010, and ZCTA 2020.

Self-published

Replication Files for "Slow Traffic, Fast Food: The Effects of Time Lost on Food Store Choice" (ICPSR 213861)

Released/updated on: 2025-01-02
Geographic coverage: Los Angeles County, California, United States
Time period: 2017-01-01--2020-12-31
Time scarcity is one of the strongest correlates of fast food consumption. To estimate the causal effect of time lost on food choice, we match daily store-specific foot traffic data traced via smartphones to plausibly exogenous shocks in highway traffic congestion in Los Angeles County. We find that on days when highways are more congested, individuals are more likely to frequent fast food restaurants and less likely to grocery shop. In our main model, a one standard deviation increase in traffic delay leads to a 1% increase in fast food visits, equivalent to 1.2 million more fast food visits in Los Angeles County per year. The effects are particularly pronounced for afternoon rush hour traffic. Our results imply a net reduction in healthy food store choice due to time lost.
Curated
Simple Crosstabs

Impact of the NYC Sugar Sweetened Beverage Policy on Calories Purchased and Consumed: Data on Fast Food Purchases, Dietary Patterns, and Retail Beverage Environments in New York City, Newark, and Jersey City, 2013-2014 (ICPSR 37143)

Released/updated on: 2018-10-15
Geographic coverage: New York City, Jersey City, United States, Newark, New York (state), New Jersey
Time period: 2013-01-01--2014-12-31

The current collection includes data collected as part of a planned evaluation of New York City's proposed soda portion cap policy. Baseline data collection was conducted in three waves. Wave 1 began in early January 2013 and ended in April 2013; Wave 2 was conducted from August to November 2013; and Wave 3 was conducted between January and June 2014.

Data was collected at point-of-purchase on the availability, sizing, promotion, and cost of beverages in the fast food restaurants of New York City, New York and of Newark and Jersey City in New Jersey. This data was also collected in these areas for their nearest convenience stores/bodegas and supermarkets. Consumer receipts were also gathered to supplement this survey data. Additional data collection was conducted using environmental scans of fast food and grocery store locations to evaluate the healthfulness of the beverage environment. Lastly, some participants also completed a telephone interview where data was gathered on participant's dietary recall.

These data are intended to gather a fuller picture of the factors that may influence beverage purchases.

Curated

ABC News/Time Magazine Obesity Poll, May 2004 (ICPSR 4040)

Released/updated on: 2004-08-12
Geographic coverage: United States
Time period: 2004-05-01--2004-05-31
This special topic poll, conducted May 10-16, 2004, was undertaken to assess public opinion on the problem of obesity in the United States. Respondents were asked to rate their own personal health and the importance of a healthy diet and physical exercise in their lives. Questions were posed regarding how often respondents and their children watched television, used the Internet, e-mail, or computer games for personal use, and engaged in moderate or vigorous physical exercise, how much influence their children had on what food the family ate, whether they kept a supply of fresh fruits and vegetables in their home, and whether they or their children were overweight. Respondents were polled on how often they ate at fast-food restaurants, whether they tried to track the amount of calories, carbohydrates, and fat content in their daily diets, whether they wanted to lose or gain weight, whether they had followed any type of weight-loss program, and whether it had helped them. Several questions asked about the hardest part of losing weight, the biggest causes of obesity in the United States, whether respondents had ever felt that they were discriminated against because of their weight, whether they had any negative feelings about people who were overweight, and whether certain groups or institutions such as the fast-food industry and government policies and laws bore any responsibility for the nation's obesity problem. Respondents were also polled on whether they would support or oppose government policies such as a tax on high-fat or high-sugar foods, requiring labels on certain foods warning of the health risks of being overweight, and setting a legal limit on portion sizes in restaurants. Other topics addressed whether health insurance companies should be able to drop coverage or charge higher premiums to people who are overweight, whether schools should be allowed to raise money by allowing soda and candy vending machines in school, the seriousness of problems such as cancer, AIDS, cigarette smoking, obesity, and drug and alcohol abuse as public health issues, and whether the federal government was doing enough about these problems. Background information includes sex, ethnicity, education, marital status, household income, number and sex of children in household, weight and height of respondents and children, and subjective size of the community: rural, urban, or suburban.
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