Demographics details for Snellville, GA vs Moberly, MO
Population Overview
Compare main population characteristics in Snellville, GA vs Moberly, MO.
Data | Snellville | Moberly |
---|---|---|
Population | 22,024 | 13,774 |
Median Age | 42.1 years | 37.5 years |
Median Income | $88,586 | $39,332 |
Married Families | 42.0% | 27.0% |
Poverty Level | 10% | 13% |
Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Snellville vs Moberly
- In Snellville, the population is higher at 22,024, compared to 13,774 in Moberly.
- Residents in Snellville have a higher median age of 42.1 years compared to 37.5 years in Moberly.
- Snellville has a higher median income of $88,586 compared to $39,332 in Moberly.
- A higher percentage of married families is found in Snellville at 42.0% compared to 27.0% in Moberly.
- The poverty level is higher in Moberly at 13%, compared to 10% in Snellville.
- Moberly has a higher unemployment rate at 4.2% compared to 3.5% in Snellville.
Demographics
Demographics Snellville vs Moberly provide insight into the diversity of the communities to compare.
Demographic | Snellville | Moberly |
---|---|---|
Black | 38 | 9 |
White | 34 | 81 |
Asian | 9 | 1 |
Hispanic | 13 | 3 |
Two or More Races | 6 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Snellville vs Moberly
- A higher percentage of Black residents are in Snellville at 38% compared to 9% in Moberly.
- The percentage of White residents is higher in Moberly at 81% compared to 34% in Snellville.
- The Asian population is larger in Snellville at 9% compared to 1% in Moberly.
- The Hispanic community is larger in Snellville at 13% compared to 3% in Moberly.
- Both Snellville and Moberly have the same percentage of residents identifying as two or more races at 6%.
- The percentage of American Indian residents is the same in both Snellville and Moberly at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Snellville | Moberly |
---|---|---|
Mental Health Not Good | 14.6% | 19.5% |
Physical Health Not Good | 9.7% | 14.9% |
Depression | 18.2% | 26.1% |
Smoking | 13.1% | 24.6% |
Binge Drinking | 15.1% | 16.6% |
Obesity | 31.9% | 44.1% |
Disability Percentage | 11.0% | 15.0% |
Health Statistics Comparison: Snellville vs Moberly
- In Moberly, a higher percentage report poor mental health at 19.5% compared to 14.6% in Snellville.
- Higher depression rates are seen in Moberly at 26.1% versus 18.2% in Snellville.
- Moberly has a higher smoking rate at 24.6% compared to 13.1% in Snellville.
- More residents engage in binge drinking in Moberly at 16.6% compared to 15.1% in Snellville.
- Moberly has higher obesity rates at 44.1% compared to 31.9% in Snellville.
- There is a higher percentage of disabled individuals in Moberly at 15.0% 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 | Moberly |
---|---|---|
No Schooling | 0.4% (94) | 1.0% (132) |
High School Diploma | 13.5% (2,970) | 22.9% (3,149) |
Less than High School | 10.1% (2,226) | 14.7% (2,021) |
Bachelor's Degree and Higher | 24.8% (5,469) | 11.0% (1,514) |
Education Levels Comparison: Snellville vs Moberly
- In Moberly, a larger percentage of residents lack formal schooling at 1.0% compared to 0.4% in Snellville.
- In Moberly, the rate of residents with high school diplomas is higher at 22.9% compared to 13.5% in Snellville.
- The percentage of residents with less than a high school education is higher in Moberly at 14.7%, 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 11.0% in Moberly.
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.