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Indicator Gauge Icon Legend
Legend Colors
Red is bad, green is good, blue is not statistically different/neutral.
Compared to Distribution
the value is in the best half of communities.
the value is in the 2nd worst quarter of communities.
the value is in the worst quarter of communities.
Compared to Target
meets target; 
does not meet target.
Compared to a Single Value
lower than the comparison value;
higher than the comparison value;
not statistically different from comparison value.
Trend
non-significant change over time; 
significant change over time; 
no change over time.
Compared to Prior Value
higher than the previous measurement period;
lower than the previous measurement period;
no statistically different change from previous measurement period.
County: Baltimore
Environmental Health / Built Environment
Value
Compared to:
County: Baltimore Children with Low Access to a Grocery Store
County: Baltimore Children with Low Access to a Grocery Store
4.0%
(2015)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties.
U.S. Counties
The distribution is based on data from 3,123 U.S. counties and county equivalents.
Prior Value
(4.5%)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
County: Baltimore Farmers Market Density
County: Baltimore Farmers Market Density
0.02
Markets per 1,000 population
(2018)
Compared to:
US Value
(0.03 in 2016)
The regional value is compared to the median value of 3,143 U.S. counties and county equivalents.
Prior Value
(0.02)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
County: Baltimore Fast Food Restaurant Density
County: Baltimore Fast Food Restaurant Density
0.89
Restaurants per 1,000 population
(2016)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties.
U.S. Counties
The distribution is based on data from 3,143 U.S. counties and county equivalents.
Prior Value
(0.89)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
County: Baltimore Food Environment Index
County: Baltimore Food Environment Index
8.4
(2024)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties.
U.S. Counties
The distribution is based on data from 3,108 U.S. counties and county equivalents.
MD Value
(8.8)
The regional value is compared to the Maryland State value.
US Value
(7.7)
The regional value is compared to the national value.
Prior Value
(8.3)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
County: Baltimore Grocery Store Density
County: Baltimore Grocery Store Density
0.18
Stores per 1,000 population
(2016)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties.
U.S. Counties
The distribution is based on data from 3,143 U.S. counties and county equivalents.
Prior Value
(0.18)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
County: Baltimore Households with No Car and Low Access to a Grocery Store
County: Baltimore Households with No Car and Low Access to a Grocery Store
1.0%
(2015)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties.
U.S. Counties
The distribution is based on data from 3,140 U.S. counties and county equivalents.
Prior Value
(1.1%)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
County: Baltimore Liquor Store Density
County: Baltimore Liquor Store Density
22.7
Stores per 100,000 population
(2021)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties.
U.S. Counties
The distribution is based on data from 1,477 U.S. counties and county equivalents.
MD Value
(20.5)
The regional value is compared to the Maryland State value.
US Value
(10.7)
The regional value is compared to the national value.
Prior Value
(21.3)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
County: Baltimore Low-Income and Low Access to a Grocery Store
County: Baltimore Low-Income and Low Access to a Grocery Store
2.9%
(2015)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties.
U.S. Counties
The distribution is based on data from 3,123 U.S. counties and county equivalents.
Prior Value
(3.1%)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
Maryland SHIP 2014
(5.5%)
<div>
<div><span>The Maryland SHIP 2014 Target is to reduce the proportion of people with low income and limited access to a grocery store to 5.5%.</span></div>
</div>
County: Baltimore People 65+ with Low Access to a Grocery Store
County: Baltimore People 65+ with Low Access to a Grocery Store
2.5%
(2015)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties.
U.S. Counties
The distribution is based on data from 3,123 U.S. counties and county equivalents.
Prior Value
(3.0%)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
County: Baltimore Proximity to Highways
County: Baltimore Proximity to Highways
8.9%
(2020)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties.
U.S. Counties
The distribution is based on data from 3,141 U.S. counties and county equivalents.
MD Value
(8.7%)
The regional value is compared to the Maryland State value.
Prior Value
(8.2%)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
County: Baltimore Recreation and Fitness Facilities
County: Baltimore Recreation and Fitness Facilities
0.15
Facilities per 1,000 population
(2016)
Compared to:
US Value
(0.06 in 2014)
The regional value is compared to the median value of 3,143 U.S. counties and county equivalents.
Prior Value
(0.14)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
County: Baltimore WIC Certified Stores
County: Baltimore WIC Certified Stores
0.1
Stores per 1,000 population
(2016)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties.
U.S. Counties
The distribution is based on data from 2,981 U.S. counties and county equivalents.
County: Baltimore
Environmental Health / Toxins & Contaminants
Value
Compared to:
County: Baltimore PBT Released
County: Baltimore PBT Released
1
Pounds
(2022)
Compared to:
Prior Value
(1)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
County: Baltimore
Environmental Health / Weather & Climate
Value
Compared to:
County: Baltimore Daily Dose of UV Irradiance
County: Baltimore Daily Dose of UV Irradiance
3,488
Joule per square meter
(2020)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties.
MD Value
(3,503)
The regional value is compared to the Maryland State value.
Prior Value
(3,358)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
County: Baltimore Number of Extreme Heat Days
County: Baltimore Number of Extreme Heat Days
9
Days
(2022)
Compared to:
Prior Value
(18)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
County: Baltimore Number of Extreme Heat Events
County: Baltimore Number of Extreme Heat Events
6
Events
(2022)
Compared to:
Prior Value
(17)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
County: Baltimore Number of Extreme Precipitation Days
County: Baltimore Number of Extreme Precipitation Days
0
Days
(2023)
Compared to:
Prior Value
(26)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
County: Baltimore Weeks of Moderate Drought or Worse
County: Baltimore Weeks of Moderate Drought or Worse
0
Weeks per year
(2021)
Compared to:
Prior Value
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
