Demographics details for Mount dora, FL vs Big sky, MT
Population Overview
Compare main population characteristics in Mount dora, FL vs Big sky, MT.
| Data | Mount dora | Big sky |
|---|---|---|
| Population | 17,160 | 2,825 |
| Median Age | 48.6 years | 37.2 years |
| Median Income | $65,774 | $94,176 |
| Married Families | 43.0% | 43.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Mount dora vs Big sky
- In Mount dora, the population is higher at 17,160, compared to 2,825 in Big sky.
- Residents in Mount dora have a higher median age of 48.6 years compared to 37.2 years in Big sky.
- Big sky has a higher median income of $94,176, compared to $65,774 in Mount dora.
- The percentage of married families is the same in both Mount dora and Big sky at 43.0%.
- Mount dora has a higher poverty level at 12% compared to 5% in Big sky.
- Big sky has a higher unemployment rate at 3.5% compared to 3.2% in Mount dora.
Demographics
Demographics Mount dora vs Big sky provide insight into the diversity of the communities to compare.
| Demographic | Mount dora | Big sky |
|---|---|---|
| Black | 13 | Data is updating |
| White | 65 | 85 |
| Asian | Data is updating | Data is updating |
| Hispanic | 15 | 12 |
| Two or More Races | 7 | 2 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mount dora vs Big sky
- A higher percentage of Black residents are in Mount dora at 13% compared to 0% in Big sky.
- The percentage of White residents is higher in Big sky at 85% compared to 65% in Mount dora.
- Both Mount dora and Big sky have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Mount dora at 15% compared to 12% in Big sky.
- More residents identify as two or more races in Mount dora at 7% compared to 2% in Big sky.
- In Big sky, the percentage of American Indian residents is higher at 1%, compared to 0% in Mount dora.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount dora | Big sky |
|---|---|---|
| Mental Health Not Good | 17.0% | 12.8% |
| Physical Health Not Good | 11.6% | 8.0% |
| Depression | 20.8% | 20.6% |
| Smoking | 20.4% | 10.7% |
| Binge Drinking | 15.0% | 24.3% |
| Obesity | 37.5% | 24.1% |
| Disability Percentage | 16.0% | 5.0% |
Health Statistics Comparison: Mount dora vs Big sky
- More residents in Mount dora report poor mental health at 17.0% compared to 12.8% in Big sky.
- Depression is more prevalent in Mount dora at 20.8% compared to 20.6% in Big sky.
- Smoking is more prevalent in Mount dora at 20.4% compared to 10.7% in Big sky.
- More residents engage in binge drinking in Big sky at 24.3% compared to 15.0% in Mount dora.
- Obesity rates are higher in Mount dora at 37.5% compared to 24.1% in Big sky.
- Disability percentages are higher in Mount dora at 16.0% compared to 5.0% in Big sky.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount dora | Big sky |
|---|---|---|
| No Schooling | 0.3% (47) | 0.0% (Data is updating) |
| High School Diploma | 16.5% (2,834) | 10.1% (284) |
| Less than High School | 8.2% (1,409) | 4.2% (118) |
| Bachelor's Degree and Higher | 25.6% (4,390) | 44.6% (1,261) |
Education Levels Comparison: Mount dora vs Big sky
- A higher percentage of residents in Mount dora have no formal schooling at 0.3% compared to 0.0% in Big sky.
- A higher percentage of residents in Mount dora hold a high school diploma at 16.5% compared to 10.1% in Big sky.
- More residents in Mount dora have less than a high school education at 8.2% compared to 4.2% in Big sky.
- In Big sky, a larger share of residents have a bachelor's degree or higher at 44.6% compared to 25.6% in Mount dora.
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.