Demographics details for North mankato, MN vs Paris, TX
Population Overview
Compare main population characteristics in North mankato, MN vs Paris, TX.
Data | North mankato | Paris |
---|---|---|
Population | 14,251 | 24,695 |
Median Age | 37.4 years | 36.0 years |
Median Income | $74,602 | $44,022 |
Married Families | 38.0% | 30.0% |
Poverty Level | 9% | 16% |
Unemployment Rate | 3.2 | 5.0 |
Population Comparison: North mankato vs Paris
- The population in Paris is higher at 24,695, compared to 14,251 in North mankato.
- Residents in North mankato have a higher median age of 37.4 years compared to 36.0 years in Paris.
- North mankato has a higher median income of $74,602 compared to $44,022 in Paris.
- A higher percentage of married families is found in North mankato at 38.0% compared to 30.0% in Paris.
- The poverty level is higher in Paris at 16%, compared to 9% in North mankato.
- Paris has a higher unemployment rate at 5.0% compared to 3.2% in North mankato.
Demographics
Demographics North mankato vs Paris provide insight into the diversity of the communities to compare.
Demographic | North mankato | Paris |
---|---|---|
Black | 2 | 23 |
White | 85 | 58 |
Asian | 2 | 2 |
Hispanic | 4 | 10 |
Two or More Races | 7 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: North mankato vs Paris
- In Paris, the percentage of Black residents is higher at 23% compared to 2% in North mankato.
- North mankato has a higher percentage of White residents at 85% compared to 58% in Paris.
- Both North mankato and Paris have the same percentage of Asian residents at 2%.
- Paris has a higher percentage of Hispanic residents at 10%, compared to 4% in North mankato.
- Both North mankato and Paris have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both North mankato and Paris at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | North mankato | Paris |
---|---|---|
Mental Health Not Good | 13.5% | 20.6% |
Physical Health Not Good | 8.0% | 14.6% |
Depression | 23.7% | 25.4% |
Smoking | 14.3% | 23.5% |
Binge Drinking | 21.5% | 16.5% |
Obesity | 33.4% | 40.6% |
Disability Percentage | 11.0% | 19.0% |
Health Statistics Comparison: North mankato vs Paris
- In Paris, a higher percentage report poor mental health at 20.6% compared to 13.5% in North mankato.
- Higher depression rates are seen in Paris at 25.4% versus 23.7% in North mankato.
- Paris has a higher smoking rate at 23.5% compared to 14.3% in North mankato.
- Binge drinking is more common in North mankato at 21.5% compared to 16.5% in Paris.
- Paris has higher obesity rates at 40.6% compared to 33.4% in North mankato.
- There is a higher percentage of disabled individuals in Paris at 19.0% 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 | Paris |
---|---|---|
No Schooling | 0.1% (14) | 1.7% (416) |
High School Diploma | 12.6% (1,794) | 18.3% (4,511) |
Less than High School | 2.8% (405) | 15.4% (3,793) |
Bachelor's Degree and Higher | 28.8% (4,103) | 13.4% (3,308) |
Education Levels Comparison: North mankato vs Paris
- In Paris, a larger percentage of residents lack formal schooling at 1.7% compared to 0.1% in North mankato.
- In Paris, the rate of residents with high school diplomas is higher at 18.3% compared to 12.6% in North mankato.
- The percentage of residents with less than a high school education is higher in Paris at 15.4%, 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 13.4% in Paris.
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.