Demographics details for New prague, MN vs Hannibal, MO
Population Overview
Compare main population characteristics in New prague, MN vs Hannibal, MO.
Data | New prague | Hannibal |
---|---|---|
Population | 8,277 | 16,938 |
Median Age | 35.3 years | 38.5 years |
Median Income | $101,579 | $52,746 |
Married Families | 41.0% | 35.0% |
Poverty Level | 5% | 12% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: New prague vs Hannibal
- The population in Hannibal is higher at 16,938, compared to 8,277 in New prague.
- The median age in Hannibal is higher at 38.5 years, compared to 35.3 years in New prague.
- New prague has a higher median income of $101,579 compared to $52,746 in Hannibal.
- A higher percentage of married families is found in New prague at 41.0% compared to 35.0% in Hannibal.
- The poverty level is higher in Hannibal at 12%, compared to 5% in New prague.
- Hannibal has a higher unemployment rate at 3.5% compared to 3.2% in New prague.
Demographics
Demographics New prague vs Hannibal provide insight into the diversity of the communities to compare.
Demographic | New prague | Hannibal |
---|---|---|
Black | Data is updating | 8 |
White | 91 | 87 |
Asian | 3 | 1 |
Hispanic | 2 | 1 |
Two or More Races | 4 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: New prague vs Hannibal
- In Hannibal, the percentage of Black residents is higher at 8% compared to 0% in New prague.
- New prague has a higher percentage of White residents at 91% compared to 87% in Hannibal.
- The Asian population is larger in New prague at 3% compared to 1% in Hannibal.
- The Hispanic community is larger in New prague at 2% compared to 1% in Hannibal.
- More residents identify as two or more races in New prague at 4% compared to 3% in Hannibal.
- The percentage of American Indian residents is the same in both New prague and Hannibal at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | New prague | Hannibal |
---|---|---|
Mental Health Not Good | 13.7% | 19.3% |
Physical Health Not Good | 8.3% | 14.1% |
Depression | 22.3% | 25.4% |
Smoking | 14.7% | 23.7% |
Binge Drinking | 20.8% | 17.8% |
Obesity | 34.5% | 42.0% |
Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: New prague vs Hannibal
- In Hannibal, a higher percentage report poor mental health at 19.3% compared to 13.7% in New prague.
- Higher depression rates are seen in Hannibal at 25.4% versus 22.3% in New prague.
- Hannibal has a higher smoking rate at 23.7% compared to 14.7% in New prague.
- Binge drinking is more common in New prague at 20.8% compared to 17.8% in Hannibal.
- Hannibal has higher obesity rates at 42.0% compared to 34.5% in New prague.
- There is a higher percentage of disabled individuals in Hannibal at 17.0% compared to 11.0% in New prague.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | New prague | Hannibal |
---|---|---|
No Schooling | 0.3% (26) | 1.1% (183) |
High School Diploma | 14.5% (1,198) | 22.3% (3,780) |
Less than High School | 5.2% (427) | 15.6% (2,643) |
Bachelor's Degree and Higher | 18.2% (1,509) | 15.0% (2,536) |
Education Levels Comparison: New prague vs Hannibal
- In Hannibal, a larger percentage of residents lack formal schooling at 1.1% compared to 0.3% in New prague.
- In Hannibal, the rate of residents with high school diplomas is higher at 22.3% compared to 14.5% in New prague.
- The percentage of residents with less than a high school education is higher in Hannibal at 15.6%, compared to 5.2% in New prague.
- A higher percentage of residents in New prague hold a bachelor's degree or higher at 18.2% compared to 15.0% in Hannibal.
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.