Demographics details for Fleischmanns, NY vs Star, NC
Population Overview
Compare main population characteristics in Fleischmanns, NY vs Star, NC.
| Data | Fleischmanns | Star |
|---|---|---|
| Population | 230 | 809 |
| Median Age | 49.5 years | 47.6 years |
| Median Income | $60,417 | $35,750 |
| Married Families | 40.0% | 50.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.4 | 5.0 |
Population Comparison: Fleischmanns vs Star
- The population in Star is higher at 809, compared to 230 in Fleischmanns.
- Residents in Fleischmanns have a higher median age of 49.5 years compared to 47.6 years in Star.
- Fleischmanns has a higher median income of $60,417 compared to $35,750 in Star.
- In Star, the percentage of married families is higher at 50.0%, compared to 40.0% in Fleischmanns.
- The poverty level is higher in Star at 12%, compared to 10% in Fleischmanns.
- Star has a higher unemployment rate at 5.0% compared to 3.4% in Fleischmanns.
Demographics
Demographics Fleischmanns vs Star provide insight into the diversity of the communities to compare.
| Demographic | Fleischmanns | Star |
|---|---|---|
| Black | Data is updating | 50 |
| White | 54 | 19 |
| Asian | Data is updating | 1 |
| Hispanic | 35 | 29 |
| Two or More Races | 7 | 1 |
| American Indian | 4 | Data is updating |
Demographics Comparison: Fleischmanns vs Star
- In Star, the percentage of Black residents is higher at 50% compared to 0% in Fleischmanns.
- Fleischmanns has a higher percentage of White residents at 54% compared to 19% in Star.
- In Star, the Asian population stands at 1%, greater than 0% in Fleischmanns.
- The Hispanic community is larger in Fleischmanns at 35% compared to 29% in Star.
- More residents identify as two or more races in Fleischmanns at 7% compared to 1% in Star.
- A greater percentage of American Indian residents live in Fleischmanns at 4% compared to 0% in Star.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fleischmanns | Star |
|---|---|---|
| Mental Health Not Good | 16.6% | 17.9% |
| Physical Health Not Good | 12.2% | 13.4% |
| Depression | 23.7% | 25.0% |
| Smoking | 19.5% | 20.7% |
| Binge Drinking | 17.0% | 16.4% |
| Obesity | 35.0% | 36.6% |
| Disability Percentage | 24.0% | 68.0% |
Health Statistics Comparison: Fleischmanns vs Star
- In Star, a higher percentage report poor mental health at 17.9% compared to 16.6% in Fleischmanns.
- Higher depression rates are seen in Star at 25.0% versus 23.7% in Fleischmanns.
- Star has a higher smoking rate at 20.7% compared to 19.5% in Fleischmanns.
- Binge drinking is more common in Fleischmanns at 17.0% compared to 16.4% in Star.
- Star has higher obesity rates at 36.6% compared to 35.0% in Fleischmanns.
- There is a higher percentage of disabled individuals in Star at 68.0% compared to 24.0% in Fleischmanns.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fleischmanns | Star |
|---|---|---|
| No Schooling | 4.3% (10) | 0.7% (6) |
| High School Diploma | 20.0% (46) | 20.9% (169) |
| Less than High School | 21.7% (50) | 44.0% (356) |
| Bachelor's Degree and Higher | 37.0% (85) | 14.6% (118) |
Education Levels Comparison: Fleischmanns vs Star
- A higher percentage of residents in Fleischmanns have no formal schooling at 4.3% compared to 0.7% in Star.
- In Star, the rate of residents with high school diplomas is higher at 20.9% compared to 20.0% in Fleischmanns.
- The percentage of residents with less than a high school education is higher in Star at 44.0%, compared to 21.7% in Fleischmanns.
- A higher percentage of residents in Fleischmanns hold a bachelor's degree or higher at 37.0% compared to 14.6% in Star.
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.