Demographics details for Snellville, GA vs Higginsville, MO

Population Overview

Compare main population characteristics in Snellville, GA vs Higginsville, MO.

Data Snellville Higginsville
Population 22,024 4,755
Median Age 42.1 years 40.3 years
Median Income $88,586 $76,731
Married Families 42.0% 36.0%
Poverty Level 10% 8%
Unemployment Rate 3.5 3.4

Population Comparison: Snellville vs Higginsville

  • In Snellville, the population is higher at 22,024, compared to 4,755 in Higginsville.
  • Residents in Snellville have a higher median age of 42.1 years compared to 40.3 years in Higginsville.
  • Snellville has a higher median income of $88,586 compared to $76,731 in Higginsville.
  • A higher percentage of married families is found in Snellville at 42.0% compared to 36.0% in Higginsville.
  • Snellville has a higher poverty level at 10% compared to 8% in Higginsville.
  • The unemployment rate in Snellville is higher at 3.5%, compared to 3.4% in Higginsville.

Demographics

Demographics Snellville vs Higginsville provide insight into the diversity of the communities to compare.

Demographic Snellville Higginsville
Black 38 8
White 34 86
Asian 9 Data is updating
Hispanic 13 3
Two or More Races 6 3
American Indian Data is updating Data is updating

Demographics Comparison: Snellville vs Higginsville

  • A higher percentage of Black residents are in Snellville at 38% compared to 8% in Higginsville.
  • The percentage of White residents is higher in Higginsville at 86% compared to 34% in Snellville.
  • The Asian population is larger in Snellville at 9% compared to 0% in Higginsville.
  • The Hispanic community is larger in Snellville at 13% compared to 3% in Higginsville.
  • More residents identify as two or more races in Snellville at 6% compared to 3% in Higginsville.
  • The percentage of American Indian residents is the same in both Snellville and Higginsville at 0%.

Health Statistics

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

Health Metric Snellville Higginsville
Mental Health Not Good 14.6% 17.2%
Physical Health Not Good 9.7% 12.2%
Depression 18.2% 23.9%
Smoking 13.1% 20.8%
Binge Drinking 15.1% 19.4%
Obesity 31.9% 40.6%
Disability Percentage 11.0% 24.0%

Health Statistics Comparison: Snellville vs Higginsville

  • In Higginsville, a higher percentage report poor mental health at 17.2% compared to 14.6% in Snellville.
  • Higher depression rates are seen in Higginsville at 23.9% versus 18.2% in Snellville.
  • Higginsville has a higher smoking rate at 20.8% compared to 13.1% in Snellville.
  • More residents engage in binge drinking in Higginsville at 19.4% compared to 15.1% in Snellville.
  • Higginsville has higher obesity rates at 40.6% compared to 31.9% in Snellville.
  • There is a higher percentage of disabled individuals in Higginsville at 24.0% compared to 11.0% in Snellville.

Education Levels

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

Education Level Snellville Higginsville
No Schooling 0.4% (94) 2.3% (109)
High School Diploma 13.5% (2,970) 26.1% (1,241)
Less than High School 10.1% (2,226) 15.3% (729)
Bachelor's Degree and Higher 24.8% (5,469) 20.8% (991)

Education Levels Comparison: Snellville vs Higginsville

  • In Higginsville, a larger percentage of residents lack formal schooling at 2.3% compared to 0.4% in Snellville.
  • In Higginsville, the rate of residents with high school diplomas is higher at 26.1% compared to 13.5% in Snellville.
  • The percentage of residents with less than a high school education is higher in Higginsville at 15.3%, compared to 10.1% in Snellville.
  • A higher percentage of residents in Snellville hold a bachelor's degree or higher at 24.8% compared to 20.8% in Higginsville.

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.