Demographics details for Cleveland, GA vs Falling waters, WV

Population Overview

Compare main population characteristics in Cleveland, GA vs Falling waters, WV.

Data Cleveland Falling waters
Population 3,548 2,150
Median Age 39.6 years 32.2 years
Median Income $46,994 $84,038
Married Families 25.0% 29.0%
Poverty Level 12% 9%
Unemployment Rate 3.5 3.5

Population Comparison: Cleveland vs Falling waters

  • In Cleveland, the population is higher at 3,548, compared to 2,150 in Falling waters.
  • Residents in Cleveland have a higher median age of 39.6 years compared to 32.2 years in Falling waters.
  • Falling waters has a higher median income of $84,038, compared to $46,994 in Cleveland.
  • In Falling waters, the percentage of married families is higher at 29.0%, compared to 25.0% in Cleveland.
  • Cleveland has a higher poverty level at 12% compared to 9% in Falling waters.
  • The unemployment rate is the same in both Cleveland and Falling waters at 3.5%.

Demographics

Demographics Cleveland vs Falling waters provide insight into the diversity of the communities to compare.

Demographic Cleveland Falling waters
Black 5 6
White 84 92
Asian 2 Data is updating
Hispanic 2 Data is updating
Two or More Races 7 2
American Indian Data is updating Data is updating

Demographics Comparison: Cleveland vs Falling waters

  • In Falling waters, the percentage of Black residents is higher at 6% compared to 5% in Cleveland.
  • The percentage of White residents is higher in Falling waters at 92% compared to 84% in Cleveland.
  • The Asian population is larger in Cleveland at 2% compared to 0% in Falling waters.
  • The Hispanic community is larger in Cleveland at 2% compared to 0% in Falling waters.
  • More residents identify as two or more races in Cleveland at 7% compared to 2% in Falling waters.
  • The percentage of American Indian residents is the same in both Cleveland and Falling waters at 0%.

Health Statistics

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

Health Metric Cleveland Falling waters
Mental Health Not Good 18.1% 18.5%
Physical Health Not Good 12.8% 11.9%
Depression 24.2% 25.7%
Smoking 18.9% 18.7%
Binge Drinking 16.2% 15.2%
Obesity 33.2% 37.6%
Disability Percentage 17.0% 24.0%

Health Statistics Comparison: Cleveland vs Falling waters

  • In Falling waters, a higher percentage report poor mental health at 18.5% compared to 18.1% in Cleveland.
  • Higher depression rates are seen in Falling waters at 25.7% versus 24.2% in Cleveland.
  • Smoking is more prevalent in Cleveland at 18.9% compared to 18.7% in Falling waters.
  • Binge drinking is more common in Cleveland at 16.2% compared to 15.2% in Falling waters.
  • Falling waters has higher obesity rates at 37.6% compared to 33.2% in Cleveland.
  • There is a higher percentage of disabled individuals in Falling waters at 24.0% compared to 17.0% in Cleveland.

Education Levels

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

Education Level Cleveland Falling waters
No Schooling 0.8% (30) 0.0% (Data is updating)
High School Diploma 18.5% (656) 22.4% (482)
Less than High School 15.4% (545) 4.7% (102)
Bachelor's Degree and Higher 10.2% (362) 11.0% (237)

Education Levels Comparison: Cleveland vs Falling waters

  • A higher percentage of residents in Cleveland have no formal schooling at 0.8% compared to 0.0% in Falling waters.
  • In Falling waters, the rate of residents with high school diplomas is higher at 22.4% compared to 18.5% in Cleveland.
  • More residents in Cleveland have less than a high school education at 15.4% compared to 4.7% in Falling waters.
  • In Falling waters, a larger share of residents have a bachelor's degree or higher at 11.0% compared to 10.2% in Cleveland.

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.