Demographics details for Holiday, FL vs Scott city, MO
Population Overview
Compare main population characteristics in Holiday, FL vs Scott city, MO.
Data | Holiday | Scott city |
---|---|---|
Population | 21,495 | 4,350 |
Median Age | 43.9 years | 40.1 years |
Median Income | $40,852 | $57,771 |
Married Families | 31.0% | 43.0% |
Poverty Level | 13% | 9% |
Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Holiday vs Scott city
- In Holiday, the population is higher at 21,495, compared to 4,350 in Scott city.
- Residents in Holiday have a higher median age of 43.9 years compared to 40.1 years in Scott city.
- Scott city has a higher median income of $57,771, compared to $40,852 in Holiday.
- In Scott city, the percentage of married families is higher at 43.0%, compared to 31.0% in Holiday.
- Holiday has a higher poverty level at 13% compared to 9% in Scott city.
- The unemployment rate is the same in both Holiday and Scott city at 3.2%.
Demographics
Demographics Holiday vs Scott city provide insight into the diversity of the communities to compare.
Demographic | Holiday | Scott city |
---|---|---|
Black | 9 | Data is updating |
White | 61 | 92 |
Asian | 1 | Data is updating |
Hispanic | 18 | 3 |
Two or More Races | 11 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Holiday vs Scott city
- A higher percentage of Black residents are in Holiday at 9% compared to 0% in Scott city.
- The percentage of White residents is higher in Scott city at 92% compared to 61% in Holiday.
- The Asian population is larger in Holiday at 1% compared to 0% in Scott city.
- The Hispanic community is larger in Holiday at 18% compared to 3% in Scott city.
- More residents identify as two or more races in Holiday at 11% compared to 5% in Scott city.
- The percentage of American Indian residents is the same in both Holiday and Scott city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Holiday | Scott city |
---|---|---|
Mental Health Not Good | 18.6% | 20.9% |
Physical Health Not Good | 13.7% | 15.5% |
Depression | 24.5% | 27.3% |
Smoking | 27.9% | 26.0% |
Binge Drinking | 16.9% | 17.0% |
Obesity | 33.6% | 37.0% |
Disability Percentage | 18.0% | 16.0% |
Health Statistics Comparison: Holiday vs Scott city
- In Scott city, a higher percentage report poor mental health at 20.9% compared to 18.6% in Holiday.
- Higher depression rates are seen in Scott city at 27.3% versus 24.5% in Holiday.
- Smoking is more prevalent in Holiday at 27.9% compared to 26.0% in Scott city.
- More residents engage in binge drinking in Scott city at 17.0% compared to 16.9% in Holiday.
- Scott city has higher obesity rates at 37.0% compared to 33.6% in Holiday.
- Disability percentages are higher in Holiday at 18.0% compared to 16.0% in Scott city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Holiday | Scott city |
---|---|---|
No Schooling | 1.0% (217) | 0.4% (18) |
High School Diploma | 34.2% (7,351) | 20.4% (886) |
Less than High School | 15.3% (3,281) | 23.8% (1,035) |
Bachelor's Degree and Higher | 8.5% (1,817) | 10.9% (474) |
Education Levels Comparison: Holiday vs Scott city
- A higher percentage of residents in Holiday have no formal schooling at 1.0% compared to 0.4% in Scott city.
- A higher percentage of residents in Holiday hold a high school diploma at 34.2% compared to 20.4% in Scott city.
- The percentage of residents with less than a high school education is higher in Scott city at 23.8%, compared to 15.3% in Holiday.
- In Scott city, a larger share of residents have a bachelor's degree or higher at 10.9% compared to 8.5% in Holiday.
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.