Demographics details for Hamlet, NC vs Southaven, MS
Population Overview
Compare main population characteristics in Hamlet, NC vs Southaven, MS.
Data | Hamlet | Southaven |
---|---|---|
Population | 5,973 | 56,360 |
Median Age | 37.3 years | 35.4 years |
Median Income | $34,798 | $72,513 |
Married Families | 26.0% | 37.0% |
Poverty Level | 26% | 12% |
Unemployment Rate | 5.1 | 3.2 |
Population Comparison: Hamlet vs Southaven
- The population in Southaven is higher at 56,360, compared to 5,973 in Hamlet.
- Residents in Hamlet have a higher median age of 37.3 years compared to 35.4 years in Southaven.
- Southaven has a higher median income of $72,513, compared to $34,798 in Hamlet.
- In Southaven, the percentage of married families is higher at 37.0%, compared to 26.0% in Hamlet.
- Hamlet has a higher poverty level at 26% compared to 12% in Southaven.
- The unemployment rate in Hamlet is higher at 5.1%, compared to 3.2% in Southaven.
Demographics
Demographics Hamlet vs Southaven provide insight into the diversity of the communities to compare.
Demographic | Hamlet | Southaven |
---|---|---|
Black | 46 | 35 |
White | 51 | 55 |
Asian | Data is updating | 1 |
Hispanic | 1 | 5 |
Two or More Races | 1 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Hamlet vs Southaven
- A higher percentage of Black residents are in Hamlet at 46% compared to 35% in Southaven.
- The percentage of White residents is higher in Southaven at 55% compared to 51% in Hamlet.
- In Southaven, the Asian population stands at 1%, greater than 0% in Hamlet.
- Southaven has a higher percentage of Hispanic residents at 5%, compared to 1% in Hamlet.
- The percentage of residents identifying as two or more races is higher in Southaven at 4%, compared to 1% in Hamlet.
- A greater percentage of American Indian residents live in Hamlet at 1% compared to 0% in Southaven.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hamlet | Southaven |
---|---|---|
Mental Health Not Good | 18.5% | 15.6% |
Physical Health Not Good | 13.7% | 10.9% |
Depression | 23.9% | 22.9% |
Smoking | 21.2% | 16.7% |
Binge Drinking | 15.3% | 14.1% |
Obesity | 40.1% | 39.7% |
Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Hamlet vs Southaven
- More residents in Hamlet report poor mental health at 18.5% compared to 15.6% in Southaven.
- Depression is more prevalent in Hamlet at 23.9% compared to 22.9% in Southaven.
- Smoking is more prevalent in Hamlet at 21.2% compared to 16.7% in Southaven.
- Binge drinking is more common in Hamlet at 15.3% compared to 14.1% in Southaven.
- Obesity rates are higher in Hamlet at 40.1% compared to 39.7% in Southaven.
- Disability percentages are higher in Hamlet at 17.0% compared to 10.0% in Southaven.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hamlet | Southaven |
---|---|---|
No Schooling | 2.2% (132) | 1.2% (658) |
High School Diploma | 18.6% (1,112) | 15.8% (8,925) |
Less than High School | 12.2% (731) | 8.7% (4,879) |
Bachelor's Degree and Higher | 5.3% (317) | 16.0% (9,035) |
Education Levels Comparison: Hamlet vs Southaven
- A higher percentage of residents in Hamlet have no formal schooling at 2.2% compared to 1.2% in Southaven.
- A higher percentage of residents in Hamlet hold a high school diploma at 18.6% compared to 15.8% in Southaven.
- More residents in Hamlet have less than a high school education at 12.2% compared to 8.7% in Southaven.
- In Southaven, a larger share of residents have a bachelor's degree or higher at 16.0% compared to 5.3% in Hamlet.
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.