Demographics details for Cross city, FL vs Holly springs, NC
Population Overview
Compare main population characteristics in Cross city, FL vs Holly springs, NC.
Data | Cross city | Holly springs |
---|---|---|
Population | 1,754 | 45,945 |
Median Age | 40.2 years | 35.7 years |
Median Income | $44,500 | $127,755 |
Married Families | 47.0% | 43.0% |
Poverty Level | 18% | 5% |
Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Cross city vs Holly springs
- The population in Holly springs is higher at 45,945, compared to 1,754 in Cross city.
- Residents in Cross city have a higher median age of 40.2 years compared to 35.7 years in Holly springs.
- Holly springs has a higher median income of $127,755, compared to $44,500 in Cross city.
- A higher percentage of married families is found in Cross city at 47.0% compared to 43.0% in Holly springs.
- Cross city has a higher poverty level at 18% compared to 5% in Holly springs.
- The unemployment rate in Cross city is higher at 3.5%, compared to 3.4% in Holly springs.
Demographics
Demographics Cross city vs Holly springs provide insight into the diversity of the communities to compare.
Demographic | Cross city | Holly springs |
---|---|---|
Black | 20 | 9 |
White | 61 | 73 |
Asian | 2 | 6 |
Hispanic | 9 | 6 |
Two or More Races | 8 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cross city vs Holly springs
- A higher percentage of Black residents are in Cross city at 20% compared to 9% in Holly springs.
- The percentage of White residents is higher in Holly springs at 73% compared to 61% in Cross city.
- In Holly springs, the Asian population stands at 6%, greater than 2% in Cross city.
- The Hispanic community is larger in Cross city at 9% compared to 6% in Holly springs.
- More residents identify as two or more races in Cross city at 8% compared to 6% in Holly springs.
- The percentage of American Indian residents is the same in both Cross city and Holly springs at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cross city | Holly springs |
---|---|---|
Mental Health Not Good | 20.0% | 12.2% |
Physical Health Not Good | 15.8% | 7.7% |
Depression | 23.8% | 19.4% |
Smoking | 29.1% | 9.7% |
Binge Drinking | 14.8% | 20.9% |
Obesity | 40.8% | 30.4% |
Disability Percentage | 32.0% | 4.0% |
Health Statistics Comparison: Cross city vs Holly springs
- More residents in Cross city report poor mental health at 20.0% compared to 12.2% in Holly springs.
- Depression is more prevalent in Cross city at 23.8% compared to 19.4% in Holly springs.
- Smoking is more prevalent in Cross city at 29.1% compared to 9.7% in Holly springs.
- More residents engage in binge drinking in Holly springs at 20.9% compared to 14.8% in Cross city.
- Obesity rates are higher in Cross city at 40.8% compared to 30.4% in Holly springs.
- Disability percentages are higher in Cross city at 32.0% compared to 4.0% in Holly springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cross city | Holly springs |
---|---|---|
No Schooling | 0.9% (15) | 0.5% (232) |
High School Diploma | 39.2% (688) | 4.2% (1,945) |
Less than High School | 11.7% (205) | 4.3% (1,965) |
Bachelor's Degree and Higher | 7.8% (136) | 36.1% (16,598) |
Education Levels Comparison: Cross city vs Holly springs
- A higher percentage of residents in Cross city have no formal schooling at 0.9% compared to 0.5% in Holly springs.
- A higher percentage of residents in Cross city hold a high school diploma at 39.2% compared to 4.2% in Holly springs.
- More residents in Cross city have less than a high school education at 11.7% compared to 4.3% in Holly springs.
- In Holly springs, a larger share of residents have a bachelor's degree or higher at 36.1% compared to 7.8% in Cross city.
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.