Demographics details for Polaris, MT vs Paris, TN
Population Overview
Compare main population characteristics in Polaris, MT vs Paris, TN.
Data | Polaris | Paris |
---|---|---|
Population | 3 | 10,339 |
Median Age | 45.0 years | 39.4 years |
Median Income | $50,000 | $39,378 |
Married Families | 1.0% | 32.0% |
Poverty Level | Data is updating | 12% |
Unemployment Rate | 0.05 | 4.5 |
Population Comparison: Polaris vs Paris
- The population in Paris is higher at 10,339, compared to 3 in Polaris.
- Residents in Polaris have a higher median age of 45.0 years compared to 39.4 years in Paris.
- Polaris has a higher median income of $50,000 compared to $39,378 in Paris.
- In Paris, the percentage of married families is higher at 32.0%, compared to 1.0% in Polaris.
- The poverty level is higher in Paris at 12%, compared to 0% in Polaris.
- Paris has a higher unemployment rate at 4.5% compared to 0.05% in Polaris.
Demographics
Demographics Polaris vs Paris provide insight into the diversity of the communities to compare.
Demographic | Polaris | Paris |
---|---|---|
Black | Data is updating | 18 |
White | 100 | 74 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 3 |
Two or More Races | Data is updating | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Polaris vs Paris
- In Paris, the percentage of Black residents is higher at 18% compared to 0% in Polaris.
- Polaris has a higher percentage of White residents at 100% compared to 74% in Paris.
- Both Polaris and Paris have the same percentage of Asian residents at 0%.
- Paris has a higher percentage of Hispanic residents at 3%, compared to 0% in Polaris.
- The percentage of residents identifying as two or more races is higher in Paris at 5%, compared to 0% in Polaris.
- The percentage of American Indian residents is the same in both Polaris and Paris at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Polaris | Paris |
---|---|---|
Mental Health Not Good | Data is updating% | 22.4% |
Physical Health Not Good | Data is updating% | 16.3% |
Depression | Data is updating% | 29.4% |
Smoking | Data is updating% | 28.0% |
Binge Drinking | Data is updating% | 13.8% |
Obesity | Data is updating% | 41.9% |
Disability Percentage | Data is updating% | 23.0% |
Health Statistics Comparison: Polaris vs Paris
- In Paris, a higher percentage report poor mental health at 22.4% compared to 0.0% in Polaris.
- Higher depression rates are seen in Paris at 29.4% versus 0.0% in Polaris.
- Paris has a higher smoking rate at 28.0% compared to 0.0% in Polaris.
- More residents engage in binge drinking in Paris at 13.8% compared to 0.0% in Polaris.
- Paris has higher obesity rates at 41.9% compared to 0.0% in Polaris.
- There is a higher percentage of disabled individuals in Paris at 23.0% compared to 0.0% in Polaris.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Polaris | Paris |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.0% (104) |
High School Diploma | 0.0% (Data is updating) | 25.5% (2,641) |
Less than High School | 0.0% (Data is updating) | 18.7% (1,935) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 13.7% (1,419) |
Education Levels Comparison: Polaris vs Paris
- In Paris, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Polaris.
- In Paris, the rate of residents with high school diplomas is higher at 25.5% compared to 0.0% in Polaris.
- The percentage of residents with less than a high school education is higher in Paris at 18.7%, compared to 0.0% in Polaris.
- In Paris, a larger share of residents have a bachelor's degree or higher at 13.7% compared to 0.0% in Polaris.
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.