Demographics details for Martinton, IL vs Angola, NY
Population Overview
Compare main population characteristics in Martinton, IL vs Angola, NY.
| Data | Martinton | Angola |
|---|---|---|
| Population | 326 | 2,029 |
| Median Age | 47.4 years | 37.9 years |
| Median Income | $93,125 | $71,809 |
| Married Families | 56.0% | 43.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.0 | 4.2 |
Population Comparison: Martinton vs Angola
- The population in Angola is higher at 2,029, compared to 326 in Martinton.
- Residents in Martinton have a higher median age of 47.4 years compared to 37.9 years in Angola.
- Martinton has a higher median income of $93,125 compared to $71,809 in Angola.
- A higher percentage of married families is found in Martinton at 56.0% compared to 43.0% in Angola.
- The poverty level is higher in Angola at 8%, compared to 5% in Martinton.
- Angola has a higher unemployment rate at 4.2% compared to 3.0% in Martinton.
Demographics
Demographics Martinton vs Angola provide insight into the diversity of the communities to compare.
| Demographic | Martinton | Angola |
|---|---|---|
| Black | Data is updating | 4 |
| White | 82 | 90 |
| Asian | 1 | 2 |
| Hispanic | 10 | 2 |
| Two or More Races | 7 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Martinton vs Angola
- In Angola, the percentage of Black residents is higher at 4% compared to 0% in Martinton.
- The percentage of White residents is higher in Angola at 90% compared to 82% in Martinton.
- In Angola, the Asian population stands at 2%, greater than 1% in Martinton.
- The Hispanic community is larger in Martinton at 10% compared to 2% in Angola.
- More residents identify as two or more races in Martinton at 7% compared to 2% in Angola.
- The percentage of American Indian residents is the same in both Martinton and Angola at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Martinton | Angola |
|---|---|---|
| Mental Health Not Good | 17.3% | 18.3% |
| Physical Health Not Good | 12.0% | 11.9% |
| Depression | 22.5% | 27.9% |
| Smoking | 20.2% | 21.0% |
| Binge Drinking | 18.4% | 20.5% |
| Obesity | 37.6% | 36.0% |
| Disability Percentage | 12.0% | 25.0% |
Health Statistics Comparison: Martinton vs Angola
- In Angola, a higher percentage report poor mental health at 18.3% compared to 17.3% in Martinton.
- Higher depression rates are seen in Angola at 27.9% versus 22.5% in Martinton.
- Angola has a higher smoking rate at 21.0% compared to 20.2% in Martinton.
- More residents engage in binge drinking in Angola at 20.5% compared to 18.4% in Martinton.
- Obesity rates are higher in Martinton at 37.6% compared to 36.0% in Angola.
- There is a higher percentage of disabled individuals in Angola at 25.0% compared to 12.0% in Martinton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Martinton | Angola |
|---|---|---|
| No Schooling | 0.3% (1) | 2.6% (53) |
| High School Diploma | 28.8% (94) | 28.0% (568) |
| Less than High School | 11.7% (38) | 10.6% (215) |
| Bachelor's Degree and Higher | 5.2% (17) | 17.8% (361) |
Education Levels Comparison: Martinton vs Angola
- In Angola, a larger percentage of residents lack formal schooling at 2.6% compared to 0.3% in Martinton.
- A higher percentage of residents in Martinton hold a high school diploma at 28.8% compared to 28.0% in Angola.
- More residents in Martinton have less than a high school education at 11.7% compared to 10.6% in Angola.
- In Angola, a larger share of residents have a bachelor's degree or higher at 17.8% compared to 5.2% in Martinton.
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.