Demographics details for Fleischmanns, NY vs Palestine, TX
Population Overview
Compare main population characteristics in Fleischmanns, NY vs Palestine, TX.
Data | Fleischmanns | Palestine |
---|---|---|
Population | 230 | 18,981 |
Median Age | 49.5 years | 33.1 years |
Median Income | $60,417 | $43,759 |
Married Families | 40.0% | 36.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 3.4 | 4.1 |
Population Comparison: Fleischmanns vs Palestine
- The population in Palestine is higher at 18,981, compared to 230 in Fleischmanns.
- Residents in Fleischmanns have a higher median age of 49.5 years compared to 33.1 years in Palestine.
- Fleischmanns has a higher median income of $60,417 compared to $43,759 in Palestine.
- A higher percentage of married families is found in Fleischmanns at 40.0% compared to 36.0% in Palestine.
- The poverty level is higher in Palestine at 12%, compared to 10% in Fleischmanns.
- Palestine has a higher unemployment rate at 4.1% compared to 3.4% in Fleischmanns.
Demographics
Demographics Fleischmanns vs Palestine provide insight into the diversity of the communities to compare.
Demographic | Fleischmanns | Palestine |
---|---|---|
Black | Data is updating | 28 |
White | 54 | 37 |
Asian | Data is updating | Data is updating |
Hispanic | 35 | 23 |
Two or More Races | 7 | 12 |
American Indian | 4 | Data is updating |
Demographics Comparison: Fleischmanns vs Palestine
- In Palestine, the percentage of Black residents is higher at 28% compared to 0% in Fleischmanns.
- Fleischmanns has a higher percentage of White residents at 54% compared to 37% in Palestine.
- Both Fleischmanns and Palestine have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Fleischmanns at 35% compared to 23% in Palestine.
- The percentage of residents identifying as two or more races is higher in Palestine at 12%, compared to 7% in Fleischmanns.
- A greater percentage of American Indian residents live in Fleischmanns at 4% compared to 0% in Palestine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fleischmanns | Palestine |
---|---|---|
Mental Health Not Good | 16.6% | 20.1% |
Physical Health Not Good | 12.2% | 14.9% |
Depression | 23.7% | 24.7% |
Smoking | 19.5% | 22.9% |
Binge Drinking | 17.0% | 16.1% |
Obesity | 35.0% | 44.1% |
Disability Percentage | 24.0% | 15.0% |
Health Statistics Comparison: Fleischmanns vs Palestine
- In Palestine, a higher percentage report poor mental health at 20.1% compared to 16.6% in Fleischmanns.
- Higher depression rates are seen in Palestine at 24.7% versus 23.7% in Fleischmanns.
- Palestine has a higher smoking rate at 22.9% compared to 19.5% in Fleischmanns.
- Binge drinking is more common in Fleischmanns at 17.0% compared to 16.1% in Palestine.
- Palestine has higher obesity rates at 44.1% compared to 35.0% in Fleischmanns.
- Disability percentages are higher in Fleischmanns at 24.0% compared to 15.0% in Palestine.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Fleischmanns | Palestine |
---|---|---|
No Schooling | 4.3% (10) | 1.7% (323) |
High School Diploma | 20.0% (46) | 18.3% (3,466) |
Less than High School | 21.7% (50) | 11.8% (2,233) |
Bachelor's Degree and Higher | 37.0% (85) | 10.0% (1,897) |
Education Levels Comparison: Fleischmanns vs Palestine
- A higher percentage of residents in Fleischmanns have no formal schooling at 4.3% compared to 1.7% in Palestine.
- A higher percentage of residents in Fleischmanns hold a high school diploma at 20.0% compared to 18.3% in Palestine.
- More residents in Fleischmanns have less than a high school education at 21.7% compared to 11.8% in Palestine.
- A higher percentage of residents in Fleischmanns hold a bachelor's degree or higher at 37.0% compared to 10.0% in Palestine.
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.