Demographics details for Cuthbert, GA vs Fishing creek, MD

Population Overview

Compare main population characteristics in Cuthbert, GA vs Fishing creek, MD.

Data Cuthbert Fishing creek
Population 2,939 235
Median Age 37.6 years 55.9 years
Median Income $21,278 $76,250
Married Families 16.0% 58.0%
Poverty Level 28% Data is updating
Unemployment Rate 5.5 3.5

Population Comparison: Cuthbert vs Fishing creek

  • In Cuthbert, the population is higher at 2,939, compared to 235 in Fishing creek.
  • The median age in Fishing creek is higher at 55.9 years, compared to 37.6 years in Cuthbert.
  • Fishing creek has a higher median income of $76,250, compared to $21,278 in Cuthbert.
  • In Fishing creek, the percentage of married families is higher at 58.0%, compared to 16.0% in Cuthbert.
  • Cuthbert has a higher poverty level at 28% compared to 0% in Fishing creek.
  • The unemployment rate in Cuthbert is higher at 5.5%, compared to 3.5% in Fishing creek.

Demographics

Demographics Cuthbert vs Fishing creek provide insight into the diversity of the communities to compare.

Demographic Cuthbert Fishing creek
Black 92 Data is updating
White 1 100
Asian Data is updating Data is updating
Hispanic 4 Data is updating
Two or More Races 3 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Cuthbert vs Fishing creek

  • A higher percentage of Black residents are in Cuthbert at 92% compared to 0% in Fishing creek.
  • The percentage of White residents is higher in Fishing creek at 100% compared to 1% in Cuthbert.
  • Both Cuthbert and Fishing creek have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Cuthbert at 4% compared to 0% in Fishing creek.
  • More residents identify as two or more races in Cuthbert at 3% compared to 0% in Fishing creek.
  • The percentage of American Indian residents is the same in both Cuthbert and Fishing creek at 0%.

Health Statistics

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

Health Metric Cuthbert Fishing creek
Mental Health Not Good 21.4% 15.3%
Physical Health Not Good 18.1% 9.6%
Depression 20.9% 21.2%
Smoking 27.3% 15.1%
Binge Drinking 11.1% 16.8%
Obesity 50.4% 33.1%
Disability Percentage 17.0% 28.0%

Health Statistics Comparison: Cuthbert vs Fishing creek

  • More residents in Cuthbert report poor mental health at 21.4% compared to 15.3% in Fishing creek.
  • Higher depression rates are seen in Fishing creek at 21.2% versus 20.9% in Cuthbert.
  • Smoking is more prevalent in Cuthbert at 27.3% compared to 15.1% in Fishing creek.
  • More residents engage in binge drinking in Fishing creek at 16.8% compared to 11.1% in Cuthbert.
  • Obesity rates are higher in Cuthbert at 50.4% compared to 33.1% in Fishing creek.
  • There is a higher percentage of disabled individuals in Fishing creek at 28.0% compared to 17.0% in Cuthbert.

Education Levels

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

Education Level Cuthbert Fishing creek
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 20.6% (604) 34.5% (81)
Less than High School 17.1% (502) 0.0% (Data is updating)
Bachelor's Degree and Higher 9.6% (282) 16.2% (38)

Education Levels Comparison: Cuthbert vs Fishing creek

  • The percentage of residents with no formal schooling is the same in both Cuthbert and Fishing creek at 0.0%.
  • In Fishing creek, the rate of residents with high school diplomas is higher at 34.5% compared to 20.6% in Cuthbert.
  • More residents in Cuthbert have less than a high school education at 17.1% compared to 0.0% in Fishing creek.
  • In Fishing creek, a larger share of residents have a bachelor's degree or higher at 16.2% compared to 9.6% in Cuthbert.

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.