Demographics details for Fleischmanns, NY vs Sabin, MN
Population Overview
Compare main population characteristics in Fleischmanns, NY vs Sabin, MN.
| Data | Fleischmanns | Sabin |
|---|---|---|
| Population | 230 | 610 |
| Median Age | 49.5 years | 33.3 years |
| Median Income | $60,417 | $118,750 |
| Married Families | 40.0% | 50.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 3.4 | 2.5 |
Population Comparison: Fleischmanns vs Sabin
- The population in Sabin is higher at 610, compared to 230 in Fleischmanns.
- Residents in Fleischmanns have a higher median age of 49.5 years compared to 33.3 years in Sabin.
- Sabin has a higher median income of $118,750, compared to $60,417 in Fleischmanns.
- In Sabin, the percentage of married families is higher at 50.0%, compared to 40.0% in Fleischmanns.
- Fleischmanns has a higher poverty level at 10% compared to 0% in Sabin.
- The unemployment rate in Fleischmanns is higher at 3.4%, compared to 2.5% in Sabin.
Demographics
Demographics Fleischmanns vs Sabin provide insight into the diversity of the communities to compare.
| Demographic | Fleischmanns | Sabin |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 54 | 82 |
| Asian | Data is updating | 1 |
| Hispanic | 35 | 3 |
| Two or More Races | 7 | 8 |
| American Indian | 4 | 6 |
Demographics Comparison: Fleischmanns vs Sabin
- The percentage of Black residents is the same in both Fleischmanns and Sabin at 0%.
- The percentage of White residents is higher in Sabin at 82% compared to 54% in Fleischmanns.
- In Sabin, the Asian population stands at 1%, greater than 0% in Fleischmanns.
- The Hispanic community is larger in Fleischmanns at 35% compared to 3% in Sabin.
- The percentage of residents identifying as two or more races is higher in Sabin at 8%, compared to 7% in Fleischmanns.
- In Sabin, the percentage of American Indian residents is higher at 6%, compared to 4% in Fleischmanns.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fleischmanns | Sabin |
|---|---|---|
| Mental Health Not Good | 16.6% | 14.2% |
| Physical Health Not Good | 12.2% | 8.4% |
| Depression | 23.7% | 25.3% |
| Smoking | 19.5% | 15.3% |
| Binge Drinking | 17.0% | 20.6% |
| Obesity | 35.0% | 33.7% |
| Disability Percentage | 24.0% | 5.0% |
Health Statistics Comparison: Fleischmanns vs Sabin
- More residents in Fleischmanns report poor mental health at 16.6% compared to 14.2% in Sabin.
- Higher depression rates are seen in Sabin at 25.3% versus 23.7% in Fleischmanns.
- Smoking is more prevalent in Fleischmanns at 19.5% compared to 15.3% in Sabin.
- More residents engage in binge drinking in Sabin at 20.6% compared to 17.0% in Fleischmanns.
- Obesity rates are higher in Fleischmanns at 35.0% compared to 33.7% in Sabin.
- Disability percentages are higher in Fleischmanns at 24.0% compared to 5.0% in Sabin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fleischmanns | Sabin |
|---|---|---|
| No Schooling | 4.3% (10) | 0.2% (1) |
| High School Diploma | 20.0% (46) | 14.1% (86) |
| Less than High School | 21.7% (50) | 3.6% (22) |
| Bachelor's Degree and Higher | 37.0% (85) | 17.9% (109) |
Education Levels Comparison: Fleischmanns vs Sabin
- A higher percentage of residents in Fleischmanns have no formal schooling at 4.3% compared to 0.2% in Sabin.
- A higher percentage of residents in Fleischmanns hold a high school diploma at 20.0% compared to 14.1% in Sabin.
- More residents in Fleischmanns have less than a high school education at 21.7% compared to 3.6% in Sabin.
- A higher percentage of residents in Fleischmanns hold a bachelor's degree or higher at 37.0% compared to 17.9% in Sabin.
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.