Demographics details for Sublimity, OR vs Pinetops, NC
Population Overview
Compare main population characteristics in Sublimity, OR vs Pinetops, NC.
Data | Sublimity | Pinetops |
---|---|---|
Population | 2,942 | 1,184 |
Median Age | 51.8 years | 42.5 years |
Median Income | $74,875 | $44,643 |
Married Families | 46.0% | 36.0% |
Poverty Level | 6% | 15% |
Unemployment Rate | 3.2 | 5.0 |
Population Comparison: Sublimity vs Pinetops
- In Sublimity, the population is higher at 2,942, compared to 1,184 in Pinetops.
- Residents in Sublimity have a higher median age of 51.8 years compared to 42.5 years in Pinetops.
- Sublimity has a higher median income of $74,875 compared to $44,643 in Pinetops.
- A higher percentage of married families is found in Sublimity at 46.0% compared to 36.0% in Pinetops.
- The poverty level is higher in Pinetops at 15%, compared to 6% in Sublimity.
- Pinetops has a higher unemployment rate at 5.0% compared to 3.2% in Sublimity.
Demographics
Demographics Sublimity vs Pinetops provide insight into the diversity of the communities to compare.
Demographic | Sublimity | Pinetops |
---|---|---|
Black | Data is updating | 73 |
White | 85 | 21 |
Asian | 1 | Data is updating |
Hispanic | 10 | 3 |
Two or More Races | 4 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Sublimity vs Pinetops
- In Pinetops, the percentage of Black residents is higher at 73% compared to 0% in Sublimity.
- Sublimity has a higher percentage of White residents at 85% compared to 21% in Pinetops.
- The Asian population is larger in Sublimity at 1% compared to 0% in Pinetops.
- The Hispanic community is larger in Sublimity at 10% compared to 3% in Pinetops.
- More residents identify as two or more races in Sublimity at 4% compared to 3% in Pinetops.
- The percentage of American Indian residents is the same in both Sublimity and Pinetops at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sublimity | Pinetops |
---|---|---|
Mental Health Not Good | 18.3% | 17.9% |
Physical Health Not Good | 11.1% | 13.1% |
Depression | 29.6% | 21.6% |
Smoking | 15.9% | 20.9% |
Binge Drinking | 17.4% | 14.2% |
Obesity | 34.8% | 43.4% |
Disability Percentage | 14.0% | 20.0% |
Health Statistics Comparison: Sublimity vs Pinetops
- More residents in Sublimity report poor mental health at 18.3% compared to 17.9% in Pinetops.
- Depression is more prevalent in Sublimity at 29.6% compared to 21.6% in Pinetops.
- Pinetops has a higher smoking rate at 20.9% compared to 15.9% in Sublimity.
- Binge drinking is more common in Sublimity at 17.4% compared to 14.2% in Pinetops.
- Pinetops has higher obesity rates at 43.4% compared to 34.8% in Sublimity.
- There is a higher percentage of disabled individuals in Pinetops at 20.0% compared to 14.0% in Sublimity.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sublimity | Pinetops |
---|---|---|
No Schooling | 1.4% (42) | 0.0% (Data is updating) |
High School Diploma | 17.2% (507) | 30.6% (362) |
Less than High School | 9.2% (272) | 17.9% (212) |
Bachelor's Degree and Higher | 23.6% (695) | 10.8% (128) |
Education Levels Comparison: Sublimity vs Pinetops
- A higher percentage of residents in Sublimity have no formal schooling at 1.4% compared to 0.0% in Pinetops.
- In Pinetops, the rate of residents with high school diplomas is higher at 30.6% compared to 17.2% in Sublimity.
- The percentage of residents with less than a high school education is higher in Pinetops at 17.9%, compared to 9.2% in Sublimity.
- A higher percentage of residents in Sublimity hold a bachelor's degree or higher at 23.6% compared to 10.8% in Pinetops.
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.