Indicator Gauge Icon Legend

Red is bad, green is good, blue is not statistically different/neutral.

Compared to Distribution

an indicator guage with the arrow in the green the value is in the best half of communities.

an indicator guage with the arrow in the yellow the value is in the 2nd worst quarter of communities.

an indicator guage with the arrow in the red the value is in the worst quarter of communities.

Compared to Target

green circle with white tick inside it meets target; red circle with white cross inside it does not meet target.

Compared to a Single Value

green diamond with downward arrow inside it lower than the comparison value; red diamond with downward arrow inside it higher than the comparison value; blue diamond with downward arrow inside it not statistically different from comparison value.

Trend

green square outline with upward trending arrow inside it green square outline with downward trending arrow inside it non-significant change over time; green square with upward trending arrow inside it green square with downward trending arrow inside it significant change over time; blue square with equals sign no change over time.

Compared to Prior Value

green triangle with upward trending arrow inside it higher than the previous measurement period; green triangle with downward trending arrow inside it lower than the previous measurement period; blue equals sign no statistically different change  from previous measurement period.

green chart bars Significantly better than the overall value

red chart bars Significantly worse than the overall value

light blue chart bars No significant difference with the overall value

gray chart bars No data on significance available

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Fast Food Restaurant Density

County: Baltimore
Measurement Period: 2016
Filter: none (all Counties)
This indicator shows the number of fast food restaurants per 1,000 population. These include limited-service establishments where people pay before eating.

Why is this important?

Fast food is often high in fat and calories and lacking in recommended nutrients. Frequent consumption of these foods and an insufficient consumption of fresh fruits and vegetables increase the risk of overweight and obesity. Individuals who are overweight or obese are at increased risk for serious health conditions, including coronary heart disease, type-2 diabetes, multiple cancers, hypertension, stroke, premature death and other chronic conditions. Fast food outlets are more common in low-income neighborhoods and studies suggest that they strongly contribute to the high incidence of obesity and obesity-related health problems in these communities.
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County: Baltimore

0.89
restaurants/ 1,000 population
Source: U.S. Department of Agriculture - Food Environment Atlas
Measurement period: 2016
Maintained by: Conduent Healthy Communities Institute
Last update: November 2020
Compared to See the Legend
Compared to MD Counties, Baltimore has a value of 0.89 which is in the worst 25% of counties. Counties in the best 50% have a value lower than 0.77 while counties in the worst 25% have a value higher than 0.87.
MD Counties
Compared to U.S. Counties, Baltimore has a value of 0.89 which is in the worst 25% of counties. Counties in the best 50% have a value lower than 0.59 while counties in the worst 25% have a value higher than 0.75.
U.S. Counties
Compared to the prior value, Baltimore (0.89) is not statistically different from the previously measured value (0.89).
Prior Value
(0.89)
Over time, the Baltimore value is increasing, not significantly.
Trend

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Fast Food Restaurant Density

:
Comparison:
Measurement Period: 2016
Data Source: U.S. Department of Agriculture - Food Environment Atlas
November 10, 2024healthycarroll.thehcn.net
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0.77
0.89
1.12
restaurants per 1,000 population
Sort by Trend Sort by Change from Prior Value
County Source Period Restaurants per 1,000 population
Download County Indicator Data CSV

Data Source

Filed under: Environmental Health / Built Environment, Health / Nutrition & Healthy Eating, Physical Determinants of Health

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