Demographics details for Jacksonville beach, FL vs Hoyt, KS
Population Overview
Compare main population characteristics in Jacksonville beach, FL vs Hoyt, KS.
Data | Jacksonville beach | Hoyt |
---|---|---|
Population | 23,521 | 589 |
Median Age | 43.3 years | 40.0 years |
Median Income | $109,649 | $73,750 |
Married Families | 41.0% | 56.0% |
Poverty Level | 8% | 7% |
Unemployment Rate | 5.1 | 3.2 |
Population Comparison: Jacksonville beach vs Hoyt
- In Jacksonville beach, the population is higher at 23,521, compared to 589 in Hoyt.
- Residents in Jacksonville beach have a higher median age of 43.3 years compared to 40.0 years in Hoyt.
- Jacksonville beach has a higher median income of $109,649 compared to $73,750 in Hoyt.
- In Hoyt, the percentage of married families is higher at 56.0%, compared to 41.0% in Jacksonville beach.
- Jacksonville beach has a higher poverty level at 8% compared to 7% in Hoyt.
- The unemployment rate in Jacksonville beach is higher at 5.1%, compared to 3.2% in Hoyt.
Demographics
Demographics Jacksonville beach vs Hoyt provide insight into the diversity of the communities to compare.
Demographic | Jacksonville beach | Hoyt |
---|---|---|
Black | 2 | Data is updating |
White | 85 | 86 |
Asian | 2 | 1 |
Hispanic | 6 | 5 |
Two or More Races | 5 | 4 |
American Indian | Data is updating | 4 |
Demographics Comparison: Jacksonville beach vs Hoyt
- A higher percentage of Black residents are in Jacksonville beach at 2% compared to 0% in Hoyt.
- The percentage of White residents is higher in Hoyt at 86% compared to 85% in Jacksonville beach.
- The Asian population is larger in Jacksonville beach at 2% compared to 1% in Hoyt.
- The Hispanic community is larger in Jacksonville beach at 6% compared to 5% in Hoyt.
- More residents identify as two or more races in Jacksonville beach at 5% compared to 4% in Hoyt.
- In Hoyt, the percentage of American Indian residents is higher at 4%, compared to 0% in Jacksonville beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Jacksonville beach | Hoyt |
---|---|---|
Mental Health Not Good | 13.8% | 15.8% |
Physical Health Not Good | 7.9% | 9.8% |
Depression | 18.7% | 22.2% |
Smoking | 12.9% | 17.7% |
Binge Drinking | 19.3% | 19.0% |
Obesity | 28.0% | 39.5% |
Disability Percentage | 8.0% | 14.0% |
Health Statistics Comparison: Jacksonville beach vs Hoyt
- In Hoyt, a higher percentage report poor mental health at 15.8% compared to 13.8% in Jacksonville beach.
- Higher depression rates are seen in Hoyt at 22.2% versus 18.7% in Jacksonville beach.
- Hoyt has a higher smoking rate at 17.7% compared to 12.9% in Jacksonville beach.
- Binge drinking is more common in Jacksonville beach at 19.3% compared to 19.0% in Hoyt.
- Hoyt has higher obesity rates at 39.5% compared to 28.0% in Jacksonville beach.
- There is a higher percentage of disabled individuals in Hoyt at 14.0% compared to 8.0% in Jacksonville beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Jacksonville beach | Hoyt |
---|---|---|
No Schooling | 0.5% (115) | 0.5% (3) |
High School Diploma | 9.8% (2,305) | 26.1% (154) |
Less than High School | 5.1% (1,194) | 12.6% (74) |
Bachelor's Degree and Higher | 44.8% (10,535) | 17.0% (100) |
Education Levels Comparison: Jacksonville beach vs Hoyt
- The percentage of residents with no formal schooling is the same in both Jacksonville beach and Hoyt at 0.5%.
- In Hoyt, the rate of residents with high school diplomas is higher at 26.1% compared to 9.8% in Jacksonville beach.
- The percentage of residents with less than a high school education is higher in Hoyt at 12.6%, compared to 5.1% in Jacksonville beach.
- A higher percentage of residents in Jacksonville beach hold a bachelor's degree or higher at 44.8% compared to 17.0% in Hoyt.
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.