Demographics details for Angola, NY vs Lynn haven, FL
Population Overview
Compare main population characteristics in Angola, NY vs Lynn haven, FL.
| Data | Angola | Lynn haven |
|---|---|---|
| Population | 2,029 | 20,044 |
| Median Age | 37.9 years | 35.4 years |
| Median Income | $71,809 | $81,378 |
| Married Families | 43.0% | 43.0% |
| Poverty Level | 8% | 7% |
| Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Angola vs Lynn haven
- The population in Lynn haven is higher at 20,044, compared to 2,029 in Angola.
- Residents in Angola have a higher median age of 37.9 years compared to 35.4 years in Lynn haven.
- Lynn haven has a higher median income of $81,378, compared to $71,809 in Angola.
- The percentage of married families is the same in both Angola and Lynn haven at 43.0%.
- Angola has a higher poverty level at 8% compared to 7% in Lynn haven.
- The unemployment rate in Angola is higher at 4.2%, compared to 4.1% in Lynn haven.
Demographics
Demographics Angola vs Lynn haven provide insight into the diversity of the communities to compare.
| Demographic | Angola | Lynn haven |
|---|---|---|
| Black | 4 | 8 |
| White | 90 | 73 |
| Asian | 2 | 3 |
| Hispanic | 2 | 8 |
| Two or More Races | 2 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Angola vs Lynn haven
- In Lynn haven, the percentage of Black residents is higher at 8% compared to 4% in Angola.
- Angola has a higher percentage of White residents at 90% compared to 73% in Lynn haven.
- In Lynn haven, the Asian population stands at 3%, greater than 2% in Angola.
- Lynn haven has a higher percentage of Hispanic residents at 8%, compared to 2% in Angola.
- The percentage of residents identifying as two or more races is higher in Lynn haven at 8%, compared to 2% in Angola.
- The percentage of American Indian residents is the same in both Angola and Lynn haven at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Angola | Lynn haven |
|---|---|---|
| Mental Health Not Good | 18.3% | 16.1% |
| Physical Health Not Good | 11.9% | 10.4% |
| Depression | 27.9% | 21.3% |
| Smoking | 21.0% | 18.6% |
| Binge Drinking | 20.5% | 16.9% |
| Obesity | 36.0% | 28.9% |
| Disability Percentage | 25.0% | 14.0% |
Health Statistics Comparison: Angola vs Lynn haven
- More residents in Angola report poor mental health at 18.3% compared to 16.1% in Lynn haven.
- Depression is more prevalent in Angola at 27.9% compared to 21.3% in Lynn haven.
- Smoking is more prevalent in Angola at 21.0% compared to 18.6% in Lynn haven.
- Binge drinking is more common in Angola at 20.5% compared to 16.9% in Lynn haven.
- Obesity rates are higher in Angola at 36.0% compared to 28.9% in Lynn haven.
- Disability percentages are higher in Angola at 25.0% compared to 14.0% in Lynn haven.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Angola | Lynn haven |
|---|---|---|
| No Schooling | 2.6% (53) | 1.1% (217) |
| High School Diploma | 28.0% (568) | 11.8% (2,373) |
| Less than High School | 10.6% (215) | 7.9% (1,576) |
| Bachelor's Degree and Higher | 17.8% (361) | 19.8% (3,974) |
Education Levels Comparison: Angola vs Lynn haven
- A higher percentage of residents in Angola have no formal schooling at 2.6% compared to 1.1% in Lynn haven.
- A higher percentage of residents in Angola hold a high school diploma at 28.0% compared to 11.8% in Lynn haven.
- More residents in Angola have less than a high school education at 10.6% compared to 7.9% in Lynn haven.
- In Lynn haven, a larger share of residents have a bachelor's degree or higher at 19.8% compared to 17.8% in Angola.
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.