Demographics details for Florence, OR vs Walnut cove, NC
Population Overview
Compare main population characteristics in Florence, OR vs Walnut cove, NC.
Data | Florence | Walnut cove |
---|---|---|
Population | 9,376 | 1,596 |
Median Age | 57.7 years | 40.5 years |
Median Income | $57,568 | $42,398 |
Married Families | 42.0% | 41.0% |
Poverty Level | 10% | 15% |
Unemployment Rate | 4.5 | 4.3 |
Population Comparison: Florence vs Walnut cove
- In Florence, the population is higher at 9,376, compared to 1,596 in Walnut cove.
- Residents in Florence have a higher median age of 57.7 years compared to 40.5 years in Walnut cove.
- Florence has a higher median income of $57,568 compared to $42,398 in Walnut cove.
- A higher percentage of married families is found in Florence at 42.0% compared to 41.0% in Walnut cove.
- The poverty level is higher in Walnut cove at 15%, compared to 10% in Florence.
- The unemployment rate in Florence is higher at 4.5%, compared to 4.3% in Walnut cove.
Demographics
Demographics Florence vs Walnut cove provide insight into the diversity of the communities to compare.
Demographic | Florence | Walnut cove |
---|---|---|
Black | 2 | 38 |
White | 87 | 44 |
Asian | 2 | Data is updating |
Hispanic | 5 | 4 |
Two or More Races | 3 | 14 |
American Indian | 1 | Data is updating |
Demographics Comparison: Florence vs Walnut cove
- In Walnut cove, the percentage of Black residents is higher at 38% compared to 2% in Florence.
- Florence has a higher percentage of White residents at 87% compared to 44% in Walnut cove.
- The Asian population is larger in Florence at 2% compared to 0% in Walnut cove.
- The Hispanic community is larger in Florence at 5% compared to 4% in Walnut cove.
- The percentage of residents identifying as two or more races is higher in Walnut cove at 14%, compared to 3% in Florence.
- A greater percentage of American Indian residents live in Florence at 1% compared to 0% in Walnut cove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Florence | Walnut cove |
---|---|---|
Mental Health Not Good | 19.8% | 18.3% |
Physical Health Not Good | 13.1% | 13.3% |
Depression | 29.2% | 24.5% |
Smoking | 16.7% | 22.0% |
Binge Drinking | 17.0% | 15.9% |
Obesity | 36.0% | 39.4% |
Disability Percentage | 25.0% | 22.0% |
Health Statistics Comparison: Florence vs Walnut cove
- More residents in Florence report poor mental health at 19.8% compared to 18.3% in Walnut cove.
- Depression is more prevalent in Florence at 29.2% compared to 24.5% in Walnut cove.
- Walnut cove has a higher smoking rate at 22.0% compared to 16.7% in Florence.
- Binge drinking is more common in Florence at 17.0% compared to 15.9% in Walnut cove.
- Walnut cove has higher obesity rates at 39.4% compared to 36.0% in Florence.
- Disability percentages are higher in Florence at 25.0% compared to 22.0% in Walnut cove.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Florence | Walnut cove |
---|---|---|
No Schooling | 0.4% (35) | 1.1% (18) |
High School Diploma | 14.2% (1,331) | 26.8% (428) |
Less than High School | 15.6% (1,467) | 8.6% (138) |
Bachelor's Degree and Higher | 19.9% (1,865) | 7.6% (122) |
Education Levels Comparison: Florence vs Walnut cove
- In Walnut cove, a larger percentage of residents lack formal schooling at 1.1% compared to 0.4% in Florence.
- In Walnut cove, the rate of residents with high school diplomas is higher at 26.8% compared to 14.2% in Florence.
- More residents in Florence have less than a high school education at 15.6% compared to 8.6% in Walnut cove.
- A higher percentage of residents in Florence hold a bachelor's degree or higher at 19.9% 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.