Demographics details for Fitzgerald, GA vs Sugar grove, PA

Population Overview

Compare main population characteristics in Fitzgerald, GA vs Sugar grove, PA.

Data Fitzgerald Sugar grove
Population 8,900 546
Median Age 35.3 years 42.2 years
Median Income $32,500 $68,056
Married Families 26.0% 53.0%
Poverty Level 18% 8%
Unemployment Rate 4.5 4.2

Population Comparison: Fitzgerald vs Sugar grove

  • In Fitzgerald, the population is higher at 8,900, compared to 546 in Sugar grove.
  • The median age in Sugar grove is higher at 42.2 years, compared to 35.3 years in Fitzgerald.
  • Sugar grove has a higher median income of $68,056, compared to $32,500 in Fitzgerald.
  • In Sugar grove, the percentage of married families is higher at 53.0%, compared to 26.0% in Fitzgerald.
  • Fitzgerald has a higher poverty level at 18% compared to 8% in Sugar grove.
  • The unemployment rate in Fitzgerald is higher at 4.5%, compared to 4.2% in Sugar grove.

Demographics

Demographics Fitzgerald vs Sugar grove provide insight into the diversity of the communities to compare.

Demographic Fitzgerald Sugar grove
Black 55 1
White 42 79
Asian 1 Data is updating
Hispanic 1 6
Two or More Races 1 14
American Indian Data is updating Data is updating

Demographics Comparison: Fitzgerald vs Sugar grove

  • A higher percentage of Black residents are in Fitzgerald at 55% compared to 1% in Sugar grove.
  • The percentage of White residents is higher in Sugar grove at 79% compared to 42% in Fitzgerald.
  • The Asian population is larger in Fitzgerald at 1% compared to 0% in Sugar grove.
  • Sugar grove has a higher percentage of Hispanic residents at 6%, compared to 1% in Fitzgerald.
  • The percentage of residents identifying as two or more races is higher in Sugar grove at 14%, compared to 1% in Fitzgerald.
  • The percentage of American Indian residents is the same in both Fitzgerald and Sugar grove at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Fitzgerald Sugar grove
Mental Health Not Good 19.3% 18.3%
Physical Health Not Good 15.1% 13.2%
Depression 22.4% 23.5%
Smoking 22.9% 22.8%
Binge Drinking 13.4% 18.2%
Obesity 45.0% 38.8%
Disability Percentage 14.0% 10.0%

Health Statistics Comparison: Fitzgerald vs Sugar grove

  • More residents in Fitzgerald report poor mental health at 19.3% compared to 18.3% in Sugar grove.
  • Higher depression rates are seen in Sugar grove at 23.5% versus 22.4% in Fitzgerald.
  • Smoking is more prevalent in Fitzgerald at 22.9% compared to 22.8% in Sugar grove.
  • More residents engage in binge drinking in Sugar grove at 18.2% compared to 13.4% in Fitzgerald.
  • Obesity rates are higher in Fitzgerald at 45.0% compared to 38.8% in Sugar grove.
  • Disability percentages are higher in Fitzgerald at 14.0% compared to 10.0% in Sugar grove.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Fitzgerald Sugar grove
No Schooling 0.5% (41) 1.5% (8)
High School Diploma 32.9% (2,930) 28.2% (154)
Less than High School 11.1% (992) 6.2% (34)
Bachelor's Degree and Higher 9.3% (828) 13.0% (71)

Education Levels Comparison: Fitzgerald vs Sugar grove

  • In Sugar grove, a larger percentage of residents lack formal schooling at 1.5% compared to 0.5% in Fitzgerald.
  • A higher percentage of residents in Fitzgerald hold a high school diploma at 32.9% compared to 28.2% in Sugar grove.
  • More residents in Fitzgerald have less than a high school education at 11.1% compared to 6.2% in Sugar grove.
  • In Sugar grove, a larger share of residents have a bachelor's degree or higher at 13.0% compared to 9.3% in Fitzgerald.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.