Demographics details for Winters, TX vs Schenectady, NY
Population Overview
Compare main population characteristics in Winters, TX vs Schenectady, NY.
| Data | Winters | Schenectady |
|---|---|---|
| Population | 2,330 | 68,809 |
| Median Age | 33.9 years | 36.0 years |
| Median Income | $44,426 | $54,650 |
| Married Families | 36.0% | 28.0% |
| Poverty Level | 13% | 13% |
| Unemployment Rate | 5.0 | 4.6 |
Population Comparison: Winters vs Schenectady
- The population in Schenectady is higher at 68,809, compared to 2,330 in Winters.
- The median age in Schenectady is higher at 36.0 years, compared to 33.9 years in Winters.
- Schenectady has a higher median income of $54,650, compared to $44,426 in Winters.
- A higher percentage of married families is found in Winters at 36.0% compared to 28.0% in Schenectady.
- The poverty level is identical in both Winters and Schenectady at 13%.
- The unemployment rate in Winters is higher at 5.0%, compared to 4.6% in Schenectady.
Demographics
Demographics Winters vs Schenectady provide insight into the diversity of the communities to compare.
| Demographic | Winters | Schenectady |
|---|---|---|
| Black | 1 | 20 |
| White | 36 | 47 |
| Asian | Data is updating | 7 |
| Hispanic | 48 | 12 |
| Two or More Races | 15 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Winters vs Schenectady
- In Schenectady, the percentage of Black residents is higher at 20% compared to 1% in Winters.
- The percentage of White residents is higher in Schenectady at 47% compared to 36% in Winters.
- In Schenectady, the Asian population stands at 7%, greater than 0% in Winters.
- The Hispanic community is larger in Winters at 48% compared to 12% in Schenectady.
- More residents identify as two or more races in Winters at 15% compared to 13% in Schenectady.
- In Schenectady, the percentage of American Indian residents is higher at 1%, compared to 0% in Winters.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winters | Schenectady |
|---|---|---|
| Mental Health Not Good | 20.5% | 17.4% |
| Physical Health Not Good | 16.3% | 12.5% |
| Depression | 25.7% | 24.0% |
| Smoking | 23.5% | 22.7% |
| Binge Drinking | 16.3% | 16.2% |
| Obesity | 41.7% | 39.6% |
| Disability Percentage | 16.0% | 15.0% |
Health Statistics Comparison: Winters vs Schenectady
- More residents in Winters report poor mental health at 20.5% compared to 17.4% in Schenectady.
- Depression is more prevalent in Winters at 25.7% compared to 24.0% in Schenectady.
- Smoking is more prevalent in Winters at 23.5% compared to 22.7% in Schenectady.
- Binge drinking is more common in Winters at 16.3% compared to 16.2% in Schenectady.
- Obesity rates are higher in Winters at 41.7% compared to 39.6% in Schenectady.
- Disability percentages are higher in Winters at 16.0% compared to 15.0% in Schenectady.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winters | Schenectady |
|---|---|---|
| No Schooling | 1.5% (35) | 1.7% (1,194) |
| High School Diploma | 20.8% (484) | 15.3% (10,540) |
| Less than High School | 35.9% (836) | 14.7% (10,146) |
| Bachelor's Degree and Higher | 6.8% (158) | 15.0% (10,303) |
Education Levels Comparison: Winters vs Schenectady
- In Schenectady, a larger percentage of residents lack formal schooling at 1.7% compared to 1.5% in Winters.
- A higher percentage of residents in Winters hold a high school diploma at 20.8% compared to 15.3% in Schenectady.
- More residents in Winters have less than a high school education at 35.9% compared to 14.7% in Schenectady.
- In Schenectady, a larger share of residents have a bachelor's degree or higher at 15.0% compared to 6.8% in Winters.
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.