Demographics details for Paris, KY vs Maplewood, NJ
Population Overview
Compare main population characteristics in Paris, KY vs Maplewood, NJ.
| Data | Paris | Maplewood |
|---|---|---|
| Population | 10,075 | 25,232 |
| Median Age | 36.6 years | 39.0 years |
| Median Income | $46,752 | $122 |
| Married Families | 32.0% | 57.2% |
| Poverty Level | 12% | 6% |
| Unemployment Rate | 4.2 | 4.3 |
Population Comparison: Paris vs Maplewood
- The population in Maplewood is higher at 25,232, compared to 10,075 in Paris.
- The median age in Maplewood is higher at 39.0 years, compared to 36.6 years in Paris.
- Paris has a higher median income of $46,752 compared to $122 in Maplewood.
- In Maplewood, the percentage of married families is higher at 57.2%, compared to 32.0% in Paris.
- Paris has a higher poverty level at 12% compared to 6% in Maplewood.
- Maplewood has a higher unemployment rate at 4.3% compared to 4.2% in Paris.
Demographics
Demographics Paris vs Maplewood provide insight into the diversity of the communities to compare.
| Demographic | Paris | Maplewood |
|---|---|---|
| Black | 8 | 18 |
| White | 79 | 64 |
| Asian | Data is updating | 5 |
| Hispanic | 5 | 11 |
| Two or More Races | 7 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Paris vs Maplewood
- In Maplewood, the percentage of Black residents is higher at 18% compared to 8% in Paris.
- Paris has a higher percentage of White residents at 79% compared to 64% in Maplewood.
- In Maplewood, the Asian population stands at 5%, greater than 0% in Paris.
- Maplewood has a higher percentage of Hispanic residents at 11%, compared to 5% in Paris.
- More residents identify as two or more races in Paris at 7% compared to 2% in Maplewood.
- A greater percentage of American Indian residents live in Paris at 1% compared to 0% in Maplewood.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Paris | Maplewood |
|---|---|---|
| Mental Health Not Good | 19.9% | Data is updating% |
| Physical Health Not Good | 15.0% | Data is updating% |
| Depression | 27.5% | Data is updating% |
| Smoking | 23.5% | Data is updating% |
| Binge Drinking | 14.2% | Data is updating% |
| Obesity | 38.8% | Data is updating% |
| Disability Percentage | 19.0% | Data is updating% |
Health Statistics Comparison: Paris vs Maplewood
- More residents in Paris report poor mental health at 19.9% compared to 0.0% in Maplewood.
- Depression is more prevalent in Paris at 27.5% compared to 0.0% in Maplewood.
- Smoking is more prevalent in Paris at 23.5% compared to 0.0% in Maplewood.
- Binge drinking is more common in Paris at 14.2% compared to 0.0% in Maplewood.
- Obesity rates are higher in Paris at 38.8% compared to 0.0% in Maplewood.
- Disability percentages are higher in Paris at 19.0% compared to 0.0% in Maplewood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Paris | Maplewood |
|---|---|---|
| No Schooling | 4.2% (424) | 0.0% (Data is updating) |
| High School Diploma | 17.8% (1,790) | 0.0% (Data is updating) |
| Less than High School | 20.9% (2,105) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 13.5% (1,365) | 0.0% (Data is updating) |
Education Levels Comparison: Paris vs Maplewood
- A higher percentage of residents in Paris have no formal schooling at 4.2% compared to 0.0% in Maplewood.
- A higher percentage of residents in Paris hold a high school diploma at 17.8% compared to 0.0% in Maplewood.
- More residents in Paris have less than a high school education at 20.9% compared to 0.0% in Maplewood.
- A higher percentage of residents in Paris hold a bachelor's degree or higher at 13.5% compared to 0.0% in Maplewood.
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.