Demographics details for Endicott, NY vs Seneca, MO
Population Overview
Compare main population characteristics in Endicott, NY vs Seneca, MO.
| Data | Endicott | Seneca |
|---|---|---|
| Population | 13,338 | 2,284 |
| Median Age | 36.1 years | 35.3 years |
| Median Income | $43,509 | $42,279 |
| Married Families | 26.0% | 37.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 4.5 | 3.1 |
Population Comparison: Endicott vs Seneca
- In Endicott, the population is higher at 13,338, compared to 2,284 in Seneca.
- Residents in Endicott have a higher median age of 36.1 years compared to 35.3 years in Seneca.
- Endicott has a higher median income of $43,509 compared to $42,279 in Seneca.
- In Seneca, the percentage of married families is higher at 37.0%, compared to 26.0% in Endicott.
- Endicott has a higher poverty level at 12% compared to 0% in Seneca.
- The unemployment rate in Endicott is higher at 4.5%, compared to 3.1% in Seneca.
Demographics
Demographics Endicott vs Seneca provide insight into the diversity of the communities to compare.
| Demographic | Endicott | Seneca |
|---|---|---|
| Black | 10 | Data is updating |
| White | 75 | 87 |
| Asian | 2 | Data is updating |
| Hispanic | 6 | 3 |
| Two or More Races | 7 | 7 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Endicott vs Seneca
- A higher percentage of Black residents are in Endicott at 10% compared to 0% in Seneca.
- The percentage of White residents is higher in Seneca at 87% compared to 75% in Endicott.
- The Asian population is larger in Endicott at 2% compared to 0% in Seneca.
- The Hispanic community is larger in Endicott at 6% compared to 3% in Seneca.
- Both Endicott and Seneca have the same percentage of residents identifying as two or more races at 7%.
- In Seneca, the percentage of American Indian residents is higher at 3%, compared to 0% in Endicott.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Endicott | Seneca |
|---|---|---|
| Mental Health Not Good | 18.7% | 19.3% |
| Physical Health Not Good | 12.7% | 14.1% |
| Depression | 26.8% | 27.1% |
| Smoking | 23.1% | 24.5% |
| Binge Drinking | 16.7% | 16.7% |
| Obesity | 37.0% | 42.3% |
| Disability Percentage | 19.0% | 20.0% |
Health Statistics Comparison: Endicott vs Seneca
- In Seneca, a higher percentage report poor mental health at 19.3% compared to 18.7% in Endicott.
- Higher depression rates are seen in Seneca at 27.1% versus 26.8% in Endicott.
- Seneca has a higher smoking rate at 24.5% compared to 23.1% in Endicott.
- Binge drinking rates are similar in both Endicott and Seneca at 16.7%.
- Seneca has higher obesity rates at 42.3% compared to 37.0% in Endicott.
- There is a higher percentage of disabled individuals in Seneca at 20.0% compared to 19.0% in Endicott.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Endicott | Seneca |
|---|---|---|
| No Schooling | 1.2% (158) | 0.1% (3) |
| High School Diploma | 16.6% (2,215) | 18.0% (411) |
| Less than High School | 16.0% (2,128) | 14.9% (340) |
| Bachelor's Degree and Higher | 12.6% (1,682) | 7.4% (170) |
Education Levels Comparison: Endicott vs Seneca
- A higher percentage of residents in Endicott have no formal schooling at 1.2% compared to 0.1% in Seneca.
- In Seneca, the rate of residents with high school diplomas is higher at 18.0% compared to 16.6% in Endicott.
- More residents in Endicott have less than a high school education at 16.0% compared to 14.9% in Seneca.
- A higher percentage of residents in Endicott hold a bachelor's degree or higher at 12.6% compared to 7.4% in Seneca.
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.