Demographics details for Sunrise beach, MO vs Sugar valley, GA

Population Overview

Compare main population characteristics in Sunrise beach, MO vs Sugar valley, GA.

Data Sunrise beach Sugar valley
Population 475 8,120
Median Age 43.9 years 38.8 years
Median Income $46,389 $68,839
Married Families 33.0% 42.0%
Poverty Level 12% 9%
Unemployment Rate 3.5 3.5

Population Comparison: Sunrise beach vs Sugar valley

  • The population in Sugar valley is higher at 8,120, compared to 475 in Sunrise beach.
  • Residents in Sunrise beach have a higher median age of 43.9 years compared to 38.8 years in Sugar valley.
  • Sugar valley has a higher median income of $68,839, compared to $46,389 in Sunrise beach.
  • In Sugar valley, the percentage of married families is higher at 42.0%, compared to 33.0% in Sunrise beach.
  • Sunrise beach has a higher poverty level at 12% compared to 9% in Sugar valley.
  • The unemployment rate is the same in both Sunrise beach and Sugar valley at 3.5%.

Demographics

Demographics Sunrise beach vs Sugar valley provide insight into the diversity of the communities to compare.

Demographic Sunrise beach Sugar valley
Black 1 Data is updating
White 91 86
Asian 1 1
Hispanic 5 9
Two or More Races 1 4
American Indian 1 Data is updating

Demographics Comparison: Sunrise beach vs Sugar valley

  • A higher percentage of Black residents are in Sunrise beach at 1% compared to 0% in Sugar valley.
  • Sunrise beach has a higher percentage of White residents at 91% compared to 86% in Sugar valley.
  • Both Sunrise beach and Sugar valley have the same percentage of Asian residents at 1%.
  • Sugar valley has a higher percentage of Hispanic residents at 9%, compared to 5% in Sunrise beach.
  • The percentage of residents identifying as two or more races is higher in Sugar valley at 4%, compared to 1% in Sunrise beach.
  • A greater percentage of American Indian residents live in Sunrise beach at 1% compared to 0% in Sugar valley.

Health Statistics

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

Health Metric Sunrise beach Sugar valley
Mental Health Not Good 17.7% Data is updating%
Physical Health Not Good 12.6% Data is updating%
Depression 25.2% Data is updating%
Smoking 20.6% Data is updating%
Binge Drinking 19.7% Data is updating%
Obesity 37.2% Data is updating%
Disability Percentage 17.0% 16.0%

Health Statistics Comparison: Sunrise beach vs Sugar valley

  • More residents in Sunrise beach report poor mental health at 17.7% compared to 0.0% in Sugar valley.
  • Depression is more prevalent in Sunrise beach at 25.2% compared to 0.0% in Sugar valley.
  • Smoking is more prevalent in Sunrise beach at 20.6% compared to 0.0% in Sugar valley.
  • Binge drinking is more common in Sunrise beach at 19.7% compared to 0.0% in Sugar valley.
  • Obesity rates are higher in Sunrise beach at 37.2% compared to 0.0% in Sugar valley.
  • Disability percentages are higher in Sunrise beach at 17.0% compared to 16.0% in Sugar valley.

Education Levels

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

Education Level Sunrise beach Sugar valley
No Schooling 1.1% (5) 1.4% (111)
High School Diploma 20.8% (99) 16.9% (1,371)
Less than High School 2.9% (14) 22.0% (1,784)
Bachelor's Degree and Higher 25.5% (121) 7.6% (619)

Education Levels Comparison: Sunrise beach vs Sugar valley

  • In Sugar valley, a larger percentage of residents lack formal schooling at 1.4% compared to 1.1% in Sunrise beach.
  • A higher percentage of residents in Sunrise beach hold a high school diploma at 20.8% compared to 16.9% in Sugar valley.
  • The percentage of residents with less than a high school education is higher in Sugar valley at 22.0%, compared to 2.9% in Sunrise beach.
  • A higher percentage of residents in Sunrise beach hold a bachelor's degree or higher at 25.5% compared to 7.6% in Sugar valley.

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.