Demographics details for Sugar valley, GA vs South solon, OH

Population Overview

Compare main population characteristics in Sugar valley, GA vs South solon, OH.

Data Sugar valley South solon
Population 8,120 327
Median Age 38.8 years 39.8 years
Median Income $68,839 $56,563
Married Families 42.0% 48.0%
Poverty Level 9% 12%
Unemployment Rate 3.5 3.5

Population Comparison: Sugar valley vs South solon

  • In Sugar valley, the population is higher at 8,120, compared to 327 in South solon.
  • The median age in South solon is higher at 39.8 years, compared to 38.8 years in Sugar valley.
  • Sugar valley has a higher median income of $68,839 compared to $56,563 in South solon.
  • In South solon, the percentage of married families is higher at 48.0%, compared to 42.0% in Sugar valley.
  • The poverty level is higher in South solon at 12%, compared to 9% in Sugar valley.
  • The unemployment rate is the same in both Sugar valley and South solon at 3.5%.

Demographics

Demographics Sugar valley vs South solon provide insight into the diversity of the communities to compare.

Demographic Sugar valley South solon
Black Data is updating Data is updating
White 86 70
Asian 1 Data is updating
Hispanic 9 20
Two or More Races 4 10
American Indian Data is updating Data is updating

Demographics Comparison: Sugar valley vs South solon

  • The percentage of Black residents is the same in both Sugar valley and South solon at 0%.
  • Sugar valley has a higher percentage of White residents at 86% compared to 70% in South solon.
  • The Asian population is larger in Sugar valley at 1% compared to 0% in South solon.
  • South solon has a higher percentage of Hispanic residents at 20%, compared to 9% in Sugar valley.
  • The percentage of residents identifying as two or more races is higher in South solon at 10%, compared to 4% in Sugar valley.
  • The percentage of American Indian residents is the same in both Sugar valley and South solon at 0%.

Health Statistics

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

Health Metric Sugar valley South solon
Mental Health Not Good Data is updating% 17.7%
Physical Health Not Good Data is updating% 11.9%
Depression Data is updating% 24.2%
Smoking Data is updating% 21.3%
Binge Drinking Data is updating% 19.1%
Obesity Data is updating% 40.5%
Disability Percentage 16.0% 16.0%

Health Statistics Comparison: Sugar valley vs South solon

  • In South solon, a higher percentage report poor mental health at 17.7% compared to 0.0% in Sugar valley.
  • Higher depression rates are seen in South solon at 24.2% versus 0.0% in Sugar valley.
  • South solon has a higher smoking rate at 21.3% compared to 0.0% in Sugar valley.
  • More residents engage in binge drinking in South solon at 19.1% compared to 0.0% in Sugar valley.
  • South solon has higher obesity rates at 40.5% compared to 0.0% in Sugar valley.
  • Disability percentages are the same in both Sugar valley and South solon at 16.0%.

Education Levels

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

Education Level Sugar valley South solon
No Schooling 1.4% (111) 0.3% (1)
High School Diploma 16.9% (1,371) 41.0% (134)
Less than High School 22.0% (1,784) 21.4% (70)
Bachelor's Degree and Higher 7.6% (619) 7.6% (25)

Education Levels Comparison: Sugar valley vs South solon

  • A higher percentage of residents in Sugar valley have no formal schooling at 1.4% compared to 0.3% in South solon.
  • In South solon, the rate of residents with high school diplomas is higher at 41.0% compared to 16.9% in Sugar valley.
  • More residents in Sugar valley have less than a high school education at 22.0% compared to 21.4% in South solon.
  • The percentage of residents with a bachelor's degree or higher is identical in both Sugar valley and South solon at 7.6%.

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.