Demographics details for Moran, WY vs Paris, KY
Population Overview
Compare main population characteristics in Moran, WY vs Paris, KY.
| Data | Moran | Paris |
|---|---|---|
| Population | 47 | 10,075 |
| Median Age | 47.0 years | 36.6 years |
| Median Income | $75,000 | $46,752 |
| Married Families | 24.0% | 32.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 2.5 | 4.2 |
Population Comparison: Moran vs Paris
- The population in Paris is higher at 10,075, compared to 47 in Moran.
- Residents in Moran have a higher median age of 47.0 years compared to 36.6 years in Paris.
- Moran has a higher median income of $75,000 compared to $46,752 in Paris.
- In Paris, the percentage of married families is higher at 32.0%, compared to 24.0% in Moran.
- The poverty level is higher in Paris at 12%, compared to 0% in Moran.
- Paris has a higher unemployment rate at 4.2% compared to 2.5% in Moran.
Demographics
Demographics Moran vs Paris provide insight into the diversity of the communities to compare.
| Demographic | Moran | Paris |
|---|---|---|
| Black | Data is updating | 8 |
| White | 98.3 | 79 |
| Asian | 1.7 | Data is updating |
| Hispanic | Data is updating | 5 |
| Two or More Races | Data is updating | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Moran vs Paris
- In Paris, the percentage of Black residents is higher at 8% compared to 0% in Moran.
- Moran has a higher percentage of White residents at 98.3% compared to 79% in Paris.
- The Asian population is larger in Moran at 1.7% compared to 0% in Paris.
- Paris has a higher percentage of Hispanic residents at 5%, compared to 0% in Moran.
- The percentage of residents identifying as two or more races is higher in Paris at 7%, compared to 0% in Moran.
- In Paris, the percentage of American Indian residents is higher at 1%, compared to 0% in Moran.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moran | Paris |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.9% |
| Physical Health Not Good | Data is updating% | 15.0% |
| Depression | Data is updating% | 27.5% |
| Smoking | Data is updating% | 23.5% |
| Binge Drinking | Data is updating% | 14.2% |
| Obesity | Data is updating% | 38.8% |
| Disability Percentage | Data is updating% | 19.0% |
Health Statistics Comparison: Moran vs Paris
- In Paris, a higher percentage report poor mental health at 19.9% compared to 0.0% in Moran.
- Higher depression rates are seen in Paris at 27.5% versus 0.0% in Moran.
- Paris has a higher smoking rate at 23.5% compared to 0.0% in Moran.
- More residents engage in binge drinking in Paris at 14.2% compared to 0.0% in Moran.
- Paris has higher obesity rates at 38.8% compared to 0.0% in Moran.
- There is a higher percentage of disabled individuals in Paris at 19.0% compared to 0.0% in Moran.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Moran | Paris |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 4.2% (424) |
| High School Diploma | 0.0% (Data is updating) | 17.8% (1,790) |
| Less than High School | 0.0% (Data is updating) | 20.9% (2,105) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 13.5% (1,365) |
Education Levels Comparison: Moran vs Paris
- In Paris, a larger percentage of residents lack formal schooling at 4.2% compared to 0.0% in Moran.
- In Paris, the rate of residents with high school diplomas is higher at 17.8% compared to 0.0% in Moran.
- The percentage of residents with less than a high school education is higher in Paris at 20.9%, compared to 0.0% in Moran.
- In Paris, a larger share of residents have a bachelor's degree or higher at 13.5% compared to 0.0% in Moran.
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.