Demographics details for Cary, NC vs Christmas valley, OR
Population Overview
Compare main population characteristics in Cary, NC vs Christmas valley, OR.
Data | Cary | Christmas valley |
---|---|---|
Population | 180,388 | 1,313 |
Median Age | 39.4 years | 47.0 years |
Median Income | $125,317 | $46,900 |
Married Families | 47.0% | 64.0% |
Poverty Level | 4% | 15% |
Unemployment Rate | 3.2 | 6.5 |
Population Comparison: Cary vs Christmas valley
- In Cary, the population is higher at 180,388, compared to 1,313 in Christmas valley.
- The median age in Christmas valley is higher at 47.0 years, compared to 39.4 years in Cary.
- Cary has a higher median income of $125,317 compared to $46,900 in Christmas valley.
- In Christmas valley, the percentage of married families is higher at 64.0%, compared to 47.0% in Cary.
- The poverty level is higher in Christmas valley at 15%, compared to 4% in Cary.
- Christmas valley has a higher unemployment rate at 6.5% compared to 3.2% in Cary.
Demographics
Demographics Cary vs Christmas valley provide insight into the diversity of the communities to compare.
Demographic | Cary | Christmas valley |
---|---|---|
Black | 8 | 1 |
White | 58 | 94 |
Asian | 20 | 1 |
Hispanic | 8 | 2 |
Two or More Races | 6 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cary vs Christmas valley
- A higher percentage of Black residents are in Cary at 8% compared to 1% in Christmas valley.
- The percentage of White residents is higher in Christmas valley at 94% compared to 58% in Cary.
- The Asian population is larger in Cary at 20% compared to 1% in Christmas valley.
- The Hispanic community is larger in Cary at 8% compared to 2% in Christmas valley.
- More residents identify as two or more races in Cary at 6% compared to 2% in Christmas valley.
- The percentage of American Indian residents is the same in both Cary and Christmas valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cary | Christmas valley |
---|---|---|
Mental Health Not Good | 11.3% | Data is updating% |
Physical Health Not Good | 7.1% | Data is updating% |
Depression | 18.3% | Data is updating% |
Smoking | 8.5% | Data is updating% |
Binge Drinking | 20.0% | Data is updating% |
Obesity | 28.0% | Data is updating% |
Disability Percentage | 7.0% | Data is updating% |
Health Statistics Comparison: Cary vs Christmas valley
- More residents in Cary report poor mental health at 11.3% compared to 0.0% in Christmas valley.
- Depression is more prevalent in Cary at 18.3% compared to 0.0% in Christmas valley.
- Smoking is more prevalent in Cary at 8.5% compared to 0.0% in Christmas valley.
- Binge drinking is more common in Cary at 20.0% compared to 0.0% in Christmas valley.
- Obesity rates are higher in Cary at 28.0% compared to 0.0% in Christmas valley.
- Disability percentages are higher in Cary at 7.0% compared to 0.0% in Christmas valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cary | Christmas valley |
---|---|---|
No Schooling | 0.4% (709) | 0.0% (Data is updating) |
High School Diploma | 4.7% (8,405) | 0.0% (Data is updating) |
Less than High School | 3.3% (5,873) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 46.6% (84,058) | 0.0% (Data is updating) |
Education Levels Comparison: Cary vs Christmas valley
- A higher percentage of residents in Cary have no formal schooling at 0.4% compared to 0.0% in Christmas valley.
- A higher percentage of residents in Cary hold a high school diploma at 4.7% compared to 0.0% in Christmas valley.
- More residents in Cary have less than a high school education at 3.3% compared to 0.0% in Christmas valley.
- A higher percentage of residents in Cary hold a bachelor's degree or higher at 46.6% compared to 0.0% in Christmas valley.
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.