Food Insecurity Rate

Food Insecurity Rate

The percentage of the population that do not have consistent access to enough food for an active, healthy life are food insecure. Food insecurity results from inadequate financial resources for food at the household level.

Food insecurity is a social and economic factor that impacts health. Low-income families are affected by multiple, overlapping issues like lack of affordable housing, social isolation, chronic or acute health problems, high medical costs, and low wages. People experiencing food insecurity often consume a nutrient-poor diet, which may contribute to the development of obesity, heart disease, hypertension, diabetes, and other chronic diseases.

In 2021, the percentage of Food Insecurity Rate in Alachua County was 11.1 compared to Florida at 10.6. The line graph shows change over time when there are at least three years of data.

Alachua County is in the third quartile for this measure. This means that relative to other counties in Florida, the situation occurs less often in about one half of the counties, and it occurs more often in about one quarter of the counties.

The map illustrates county data by quartile. A quartile map is presented when there are at least 51 counties with data for this measure.

Links:   Healthy People 2030 | Other Resource
                    
Alachua County
Food Insecurity Rate, Single Year
Click on county name or “Florida” in the legend to hide or show the county or state.
Food Insecurity Rate, Percentage of Population, Single Year  
AlachuaFlorida
Data YearPercent (%)Percent (%)
202111.110.6
202012.410.6
201913.412.0
201813.913.0
201718.713.4
201619.813.9
201520.415.1
201420.416.2
Florida
Food Insecurity Rate, Percent of Population, 2021
*Mouseover map to see county name and value. *Click a legend category to hide or show that category.
Food Insecurity Rate, Percent of Population, 2021  
CountyPercent (%)
Florida10.6
Alachua11.1
Baker9.9
Bay12.1
Bradford13.1
Brevard9.9
Broward8.6
Calhoun13.7
Charlotte11.4
Citrus13.3
Clay8.8
Collier8.6
Columbia12.3
Miami-Dade10.4
DeSoto14.2
Dixie13.6
Duval10.6
Escambia11.6
Flagler10.0
Franklin13.0
Gadsden12.4
Gilchrist11.4
Glades12.7
Gulf10.5
Hamilton15.3
Hardee14.3
Hendry14.2
Hernando12.0
Highlands13.3
Hillsborough10.0
Holmes14.2
Indian River10.0
Jackson12.6
Jefferson10.8
Lafayette10.9
Lake10.0
Lee10.0
Leon10.6
Levy13.4
Liberty14.4
Madison13.6
Manatee9.5
Marion11.4
Martin9.5
Monroe9.3
Nassau9.7
Okaloosa10.4
Okeechobee12.8
Orange10.2
Osceola10.8
Palm Beach8.9
Pasco11.0
Pinellas10.6
Polk11.2
Putnam15.4
St. Johns7.5
St. Lucie9.5
Santa Rosa9.3
Sarasota9.4
Seminole8.4
Sumter10.3
Suwannee12.8
Taylor13.4
Union12.2
Volusia11.3
Wakulla6.9
Walton11.0
Washington14.3
11/22/2024 1:47:20 PM

Data Note(s)

Data Source: Feeding America, Map the Meal Gap

  • Chart will display if there are at least three years of data.

  • Multi-year counts are a sum of the selected years, not an average.

  • Quartiles are calculated when data is available for at least 51 counties.

  • MOV - Measure of Variability: Probable range of values resulting from random fluctuations in the number of events. Not calculated when numerator is below 5 or denominator is below 20, or count or rate is suppressed. The MOV is useful for comparing rates to a goal or standard. For example, if the absolute difference between the county rate and the statewide rate is less than the MOV, the county rate is not significantly different from the statewide rate (alpha level = 0.05). When the absolute difference between the county rate and the statewide rate is greater than the MOV, the county rate is significantly different from the statewide rate. MOV should not be used to determine if the rates of two different counties, or the county rates for two different years, are statistically significantly different.

  • Denom - abbreviated for Denominator.

  • Population estimates are not available for persons whose county of residence is unknown. Given this, the denominator and associated rate are not available.

  • * - Indicates the county rate is statistically significantly different from the statewide rate.

  • This is secondary data.
  • Because of changes to the estimation methodology, food insecurity estimates from 2019 forward are not directly comparable to estimates from previous years.