Demographics details for North mankato, MN vs Hamlet, NC
Population Overview
Compare main population characteristics in North mankato, MN vs Hamlet, NC.
Data | North mankato | Hamlet |
---|---|---|
Population | 14,251 | 5,973 |
Median Age | 37.4 years | 37.3 years |
Median Income | $74,602 | $34,798 |
Married Families | 38.0% | 26.0% |
Poverty Level | 9% | 26% |
Unemployment Rate | 3.2 | 5.1 |
Population Comparison: North mankato vs Hamlet
- In North mankato, the population is higher at 14,251, compared to 5,973 in Hamlet.
- Residents in North mankato have a higher median age of 37.4 years compared to 37.3 years in Hamlet.
- North mankato has a higher median income of $74,602 compared to $34,798 in Hamlet.
- A higher percentage of married families is found in North mankato at 38.0% compared to 26.0% in Hamlet.
- The poverty level is higher in Hamlet at 26%, compared to 9% in North mankato.
- Hamlet has a higher unemployment rate at 5.1% compared to 3.2% in North mankato.
Demographics
Demographics North mankato vs Hamlet provide insight into the diversity of the communities to compare.
Demographic | North mankato | Hamlet |
---|---|---|
Black | 2 | 46 |
White | 85 | 51 |
Asian | 2 | Data is updating |
Hispanic | 4 | 1 |
Two or More Races | 7 | 1 |
American Indian | Data is updating | 1 |
Demographics Comparison: North mankato vs Hamlet
- In Hamlet, the percentage of Black residents is higher at 46% compared to 2% in North mankato.
- North mankato has a higher percentage of White residents at 85% compared to 51% in Hamlet.
- The Asian population is larger in North mankato at 2% compared to 0% in Hamlet.
- The Hispanic community is larger in North mankato at 4% compared to 1% in Hamlet.
- More residents identify as two or more races in North mankato at 7% compared to 1% in Hamlet.
- In Hamlet, the percentage of American Indian residents is higher at 1%, compared to 0% in North mankato.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | North mankato | Hamlet |
---|---|---|
Mental Health Not Good | 13.5% | 18.5% |
Physical Health Not Good | 8.0% | 13.7% |
Depression | 23.7% | 23.9% |
Smoking | 14.3% | 21.2% |
Binge Drinking | 21.5% | 15.3% |
Obesity | 33.4% | 40.1% |
Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: North mankato vs Hamlet
- In Hamlet, a higher percentage report poor mental health at 18.5% compared to 13.5% in North mankato.
- Higher depression rates are seen in Hamlet at 23.9% versus 23.7% in North mankato.
- Hamlet has a higher smoking rate at 21.2% compared to 14.3% in North mankato.
- Binge drinking is more common in North mankato at 21.5% compared to 15.3% in Hamlet.
- Hamlet has higher obesity rates at 40.1% compared to 33.4% in North mankato.
- There is a higher percentage of disabled individuals in Hamlet at 17.0% compared to 11.0% in North mankato.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | North mankato | Hamlet |
---|---|---|
No Schooling | 0.1% (14) | 2.2% (132) |
High School Diploma | 12.6% (1,794) | 18.6% (1,112) |
Less than High School | 2.8% (405) | 12.2% (731) |
Bachelor's Degree and Higher | 28.8% (4,103) | 5.3% (317) |
Education Levels Comparison: North mankato vs Hamlet
- In Hamlet, a larger percentage of residents lack formal schooling at 2.2% compared to 0.1% in North mankato.
- In Hamlet, the rate of residents with high school diplomas is higher at 18.6% compared to 12.6% in North mankato.
- The percentage of residents with less than a high school education is higher in Hamlet at 12.2%, compared to 2.8% in North mankato.
- A higher percentage of residents in North mankato hold a bachelor's degree or higher at 28.8% 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.