Demographics details for Walnut cove, NC vs Paris, KY
Population Overview
Compare main population characteristics in Walnut cove, NC vs Paris, KY.
| Data | Walnut cove | Paris |
|---|---|---|
| Population | 1,596 | 10,075 |
| Median Age | 40.5 years | 36.6 years |
| Median Income | $42,398 | $46,752 |
| Married Families | 41.0% | 32.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 4.3 | 4.2 |
Population Comparison: Walnut cove vs Paris
- The population in Paris is higher at 10,075, compared to 1,596 in Walnut cove.
- Residents in Walnut cove have a higher median age of 40.5 years compared to 36.6 years in Paris.
- Paris has a higher median income of $46,752, compared to $42,398 in Walnut cove.
- A higher percentage of married families is found in Walnut cove at 41.0% compared to 32.0% in Paris.
- Walnut cove has a higher poverty level at 15% compared to 12% in Paris.
- The unemployment rate in Walnut cove is higher at 4.3%, compared to 4.2% in Paris.
Demographics
Demographics Walnut cove vs Paris provide insight into the diversity of the communities to compare.
| Demographic | Walnut cove | Paris |
|---|---|---|
| Black | 38 | 8 |
| White | 44 | 79 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 5 |
| Two or More Races | 14 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Walnut cove vs Paris
- A higher percentage of Black residents are in Walnut cove at 38% compared to 8% in Paris.
- The percentage of White residents is higher in Paris at 79% compared to 44% in Walnut cove.
- Both Walnut cove and Paris have the same percentage of Asian residents at 0%.
- Paris has a higher percentage of Hispanic residents at 5%, compared to 4% in Walnut cove.
- More residents identify as two or more races in Walnut cove at 14% compared to 7% in Paris.
- In Paris, the percentage of American Indian residents is higher at 1%, compared to 0% in Walnut cove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Walnut cove | Paris |
|---|---|---|
| Mental Health Not Good | 18.3% | 19.9% |
| Physical Health Not Good | 13.3% | 15.0% |
| Depression | 24.5% | 27.5% |
| Smoking | 22.0% | 23.5% |
| Binge Drinking | 15.9% | 14.2% |
| Obesity | 39.4% | 38.8% |
| Disability Percentage | 22.0% | 19.0% |
Health Statistics Comparison: Walnut cove vs Paris
- In Paris, a higher percentage report poor mental health at 19.9% compared to 18.3% in Walnut cove.
- Higher depression rates are seen in Paris at 27.5% versus 24.5% in Walnut cove.
- Paris has a higher smoking rate at 23.5% compared to 22.0% in Walnut cove.
- Binge drinking is more common in Walnut cove at 15.9% compared to 14.2% in Paris.
- Obesity rates are higher in Walnut cove at 39.4% compared to 38.8% in Paris.
- Disability percentages are higher in Walnut cove at 22.0% compared to 19.0% in Paris.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Walnut cove | Paris |
|---|---|---|
| No Schooling | 1.1% (18) | 4.2% (424) |
| High School Diploma | 26.8% (428) | 17.8% (1,790) |
| Less than High School | 8.6% (138) | 20.9% (2,105) |
| Bachelor's Degree and Higher | 7.6% (122) | 13.5% (1,365) |
Education Levels Comparison: Walnut cove vs Paris
- In Paris, a larger percentage of residents lack formal schooling at 4.2% compared to 1.1% in Walnut cove.
- A higher percentage of residents in Walnut cove hold a high school diploma at 26.8% compared to 17.8% in Paris.
- The percentage of residents with less than a high school education is higher in Paris at 20.9%, compared to 8.6% in Walnut cove.
- In Paris, a larger share of residents have a bachelor's degree or higher at 13.5% compared to 7.6% in Walnut cove.
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.