Demographics details for Mount dora, FL vs Ocean city, NJ
Population Overview
Compare main population characteristics in Mount dora, FL vs Ocean city, NJ.
| Data | Mount dora | Ocean city |
|---|---|---|
| Population | 17,160 | 11,303 |
| Median Age | 48.6 years | 56.9 years |
| Median Income | $65,774 | $98,576 |
| Married Families | 43.0% | 53.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Mount dora vs Ocean city
- In Mount dora, the population is higher at 17,160, compared to 11,303 in Ocean city.
- The median age in Ocean city is higher at 56.9 years, compared to 48.6 years in Mount dora.
- Ocean city has a higher median income of $98,576, compared to $65,774 in Mount dora.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 43.0% in Mount dora.
- Mount dora has a higher poverty level at 12% compared to 0% in Ocean city.
- The unemployment rate is the same in both Mount dora and Ocean city at 3.2%.
Demographics
Demographics Mount dora vs Ocean city provide insight into the diversity of the communities to compare.
| Demographic | Mount dora | Ocean city |
|---|---|---|
| Black | 13 | 3 |
| White | 65 | 86 |
| Asian | Data is updating | Data is updating |
| Hispanic | 15 | 8 |
| Two or More Races | 7 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount dora vs Ocean city
- A higher percentage of Black residents are in Mount dora at 13% compared to 3% in Ocean city.
- The percentage of White residents is higher in Ocean city at 86% compared to 65% in Mount dora.
- Both Mount dora and Ocean city have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Mount dora at 15% compared to 8% in Ocean city.
- More residents identify as two or more races in Mount dora at 7% compared to 3% in Ocean city.
- The percentage of American Indian residents is the same in both Mount dora and Ocean city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount dora | Ocean city |
|---|---|---|
| Mental Health Not Good | 17.0% | 14.0% |
| Physical Health Not Good | 11.6% | 8.7% |
| Depression | 20.8% | 21.8% |
| Smoking | 20.4% | 11.9% |
| Binge Drinking | 15.0% | 20.3% |
| Obesity | 37.5% | 29.8% |
| Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Mount dora vs Ocean city
- More residents in Mount dora report poor mental health at 17.0% compared to 14.0% in Ocean city.
- Higher depression rates are seen in Ocean city at 21.8% versus 20.8% in Mount dora.
- Smoking is more prevalent in Mount dora at 20.4% compared to 11.9% in Ocean city.
- More residents engage in binge drinking in Ocean city at 20.3% compared to 15.0% in Mount dora.
- Obesity rates are higher in Mount dora at 37.5% compared to 29.8% in Ocean city.
- Disability percentages are higher in Mount dora at 16.0% compared to 14.0% in Ocean city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount dora | Ocean city |
|---|---|---|
| No Schooling | 0.3% (47) | 0.4% (50) |
| High School Diploma | 16.5% (2,834) | 16.9% (1,907) |
| Less than High School | 8.2% (1,409) | 6.0% (676) |
| Bachelor's Degree and Higher | 25.6% (4,390) | 43.6% (4,926) |
Education Levels Comparison: Mount dora vs Ocean city
- In Ocean city, a larger percentage of residents lack formal schooling at 0.4% compared to 0.3% in Mount dora.
- In Ocean city, the rate of residents with high school diplomas is higher at 16.9% compared to 16.5% in Mount dora.
- More residents in Mount dora have less than a high school education at 8.2% compared to 6.0% in Ocean city.
- In Ocean city, a larger share of residents have a bachelor's degree or higher at 43.6% 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.