Demographics details for Iuka, MS vs Fleischmanns, NY
Population Overview
Compare main population characteristics in Iuka, MS vs Fleischmanns, NY.
| Data | Iuka | Fleischmanns |
|---|---|---|
| Population | 3,096 | 230 |
| Median Age | 37.2 years | 49.5 years |
| Median Income | $43,887 | $60,417 |
| Married Families | 40.0% | 40.0% |
| Poverty Level | 22% | 10% |
| Unemployment Rate | 5.0 | 3.4 |
Population Comparison: Iuka vs Fleischmanns
- In Iuka, the population is higher at 3,096, compared to 230 in Fleischmanns.
- The median age in Fleischmanns is higher at 49.5 years, compared to 37.2 years in Iuka.
- Fleischmanns has a higher median income of $60,417, compared to $43,887 in Iuka.
- The percentage of married families is the same in both Iuka and Fleischmanns at 40.0%.
- Iuka has a higher poverty level at 22% compared to 10% in Fleischmanns.
- The unemployment rate in Iuka is higher at 5.0%, compared to 3.4% in Fleischmanns.
Demographics
Demographics Iuka vs Fleischmanns provide insight into the diversity of the communities to compare.
| Demographic | Iuka | Fleischmanns |
|---|---|---|
| Black | 4 | Data is updating |
| White | 94 | 54 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 35 |
| Two or More Races | 2 | 7 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Iuka vs Fleischmanns
- A higher percentage of Black residents are in Iuka at 4% compared to 0% in Fleischmanns.
- Iuka has a higher percentage of White residents at 94% compared to 54% in Fleischmanns.
- Both Iuka and Fleischmanns have the same percentage of Asian residents at 0%.
- Fleischmanns has a higher percentage of Hispanic residents at 35%, compared to 0% in Iuka.
- The percentage of residents identifying as two or more races is higher in Fleischmanns at 7%, compared to 2% in Iuka.
- In Fleischmanns, the percentage of American Indian residents is higher at 4%, compared to 0% in Iuka.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Iuka | Fleischmanns |
|---|---|---|
| Mental Health Not Good | 19.6% | 16.6% |
| Physical Health Not Good | 15.1% | 12.2% |
| Depression | 26.4% | 23.7% |
| Smoking | 25.7% | 19.5% |
| Binge Drinking | 14.6% | 17.0% |
| Obesity | 40.0% | 35.0% |
| Disability Percentage | 19.0% | 24.0% |
Health Statistics Comparison: Iuka vs Fleischmanns
- More residents in Iuka report poor mental health at 19.6% compared to 16.6% in Fleischmanns.
- Depression is more prevalent in Iuka at 26.4% compared to 23.7% in Fleischmanns.
- Smoking is more prevalent in Iuka at 25.7% compared to 19.5% in Fleischmanns.
- More residents engage in binge drinking in Fleischmanns at 17.0% compared to 14.6% in Iuka.
- Obesity rates are higher in Iuka at 40.0% compared to 35.0% in Fleischmanns.
- There is a higher percentage of disabled individuals in Fleischmanns at 24.0% compared to 19.0% in Iuka.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Iuka | Fleischmanns |
|---|---|---|
| No Schooling | 2.4% (75) | 4.3% (10) |
| High School Diploma | 19.9% (616) | 20.0% (46) |
| Less than High School | 21.0% (650) | 21.7% (50) |
| Bachelor's Degree and Higher | 11.2% (348) | 37.0% (85) |
Education Levels Comparison: Iuka vs Fleischmanns
- In Fleischmanns, a larger percentage of residents lack formal schooling at 4.3% compared to 2.4% in Iuka.
- In Fleischmanns, the rate of residents with high school diplomas is higher at 20.0% compared to 19.9% in Iuka.
- The percentage of residents with less than a high school education is higher in Fleischmanns at 21.7%, compared to 21.0% in Iuka.
- In Fleischmanns, a larger share of residents have a bachelor's degree or higher at 37.0% compared to 11.2% in Iuka.
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.