Demographics details for Mount dora, FL vs Center, TX
Population Overview
Compare main population characteristics in Mount dora, FL vs Center, TX.
Data | Mount dora | Center |
---|---|---|
Population | 17,160 | 5,147 |
Median Age | 48.6 years | 38.2 years |
Median Income | $65,774 | $57,875 |
Married Families | 43.0% | 36.0% |
Poverty Level | 12% | 14% |
Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Mount dora vs Center
- In Mount dora, the population is higher at 17,160, compared to 5,147 in Center.
- Residents in Mount dora have a higher median age of 48.6 years compared to 38.2 years in Center.
- Mount dora has a higher median income of $65,774 compared to $57,875 in Center.
- A higher percentage of married families is found in Mount dora at 43.0% compared to 36.0% in Center.
- The poverty level is higher in Center at 14%, compared to 12% in Mount dora.
- Center has a higher unemployment rate at 4.5% compared to 3.2% in Mount dora.
Demographics
Demographics Mount dora vs Center provide insight into the diversity of the communities to compare.
Demographic | Mount dora | Center |
---|---|---|
Black | 13 | 26 |
White | 65 | 44 |
Asian | Data is updating | Data is updating |
Hispanic | 15 | 27 |
Two or More Races | 7 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount dora vs Center
- In Center, the percentage of Black residents is higher at 26% compared to 13% in Mount dora.
- Mount dora has a higher percentage of White residents at 65% compared to 44% in Center.
- Both Mount dora and Center have the same percentage of Asian residents at 0%.
- Center has a higher percentage of Hispanic residents at 27%, compared to 15% in Mount dora.
- More residents identify as two or more races in Mount dora at 7% compared to 3% in Center.
- The percentage of American Indian residents is the same in both Mount dora and Center at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount dora | Center |
---|---|---|
Mental Health Not Good | 17.0% | 21.0% |
Physical Health Not Good | 11.6% | 16.7% |
Depression | 20.8% | 24.3% |
Smoking | 20.4% | 24.8% |
Binge Drinking | 15.0% | 14.6% |
Obesity | 37.5% | 44.2% |
Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Mount dora vs Center
- In Center, a higher percentage report poor mental health at 21.0% compared to 17.0% in Mount dora.
- Higher depression rates are seen in Center at 24.3% versus 20.8% in Mount dora.
- Center has a higher smoking rate at 24.8% compared to 20.4% in Mount dora.
- Binge drinking is more common in Mount dora at 15.0% compared to 14.6% in Center.
- Center has higher obesity rates at 44.2% compared to 37.5% in Mount dora.
- Disability percentages are higher in Mount dora at 16.0% compared to 14.0% in Center.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mount dora | Center |
---|---|---|
No Schooling | 0.3% (47) | 1.6% (81) |
High School Diploma | 16.5% (2,834) | 24.8% (1,277) |
Less than High School | 8.2% (1,409) | 26.6% (1,369) |
Bachelor's Degree and Higher | 25.6% (4,390) | 8.0% (414) |
Education Levels Comparison: Mount dora vs Center
- In Center, a larger percentage of residents lack formal schooling at 1.6% compared to 0.3% in Mount dora.
- In Center, the rate of residents with high school diplomas is higher at 24.8% compared to 16.5% in Mount dora.
- The percentage of residents with less than a high school education is higher in Center at 26.6%, compared to 8.2% in Mount dora.
- A higher percentage of residents in Mount dora hold a bachelor's degree or higher at 25.6% compared to 8.0% in Center.
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.