Demographics details for Middle point, OH vs Webster, SD
Population Overview
Compare main population characteristics in Middle point, OH vs Webster, SD.
| Data | Middle point | Webster |
|---|---|---|
| Population | 565 | 1,714 |
| Median Age | 37.0 years | 42.8 years |
| Median Income | $54,479 | $50,500 |
| Married Families | 44.0% | 34.0% |
| Poverty Level | 8% | 9% |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Middle point vs Webster
- The population in Webster is higher at 1,714, compared to 565 in Middle point.
- The median age in Webster is higher at 42.8 years, compared to 37.0 years in Middle point.
- Middle point has a higher median income of $54,479 compared to $50,500 in Webster.
- A higher percentage of married families is found in Middle point at 44.0% compared to 34.0% in Webster.
- The poverty level is higher in Webster at 9%, compared to 8% in Middle point.
- The unemployment rate in Middle point is higher at 4.5%, compared to 3.2% in Webster.
Demographics
Demographics Middle point vs Webster provide insight into the diversity of the communities to compare.
| Demographic | Middle point | Webster |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 99 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 3 |
| Two or More Races | 1 | 1 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Middle point vs Webster
- The percentage of Black residents is the same in both Middle point and Webster at 0%.
- Middle point has a higher percentage of White residents at 99% compared to 94% in Webster.
- Both Middle point and Webster have the same percentage of Asian residents at 0%.
- Webster has a higher percentage of Hispanic residents at 3%, compared to 0% in Middle point.
- Both Middle point and Webster have the same percentage of residents identifying as two or more races at 1%.
- In Webster, the percentage of American Indian residents is higher at 2%, compared to 0% in Middle point.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Middle point | Webster |
|---|---|---|
| Mental Health Not Good | 16.7% | 14.7% |
| Physical Health Not Good | 10.5% | 10.6% |
| Depression | 23.4% | 18.7% |
| Smoking | 18.5% | 20.1% |
| Binge Drinking | 19.3% | 20.1% |
| Obesity | 41.8% | 39.0% |
| Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Middle point vs Webster
- More residents in Middle point report poor mental health at 16.7% compared to 14.7% in Webster.
- Depression is more prevalent in Middle point at 23.4% compared to 18.7% in Webster.
- Webster has a higher smoking rate at 20.1% compared to 18.5% in Middle point.
- More residents engage in binge drinking in Webster at 20.1% compared to 19.3% in Middle point.
- Obesity rates are higher in Middle point at 41.8% compared to 39.0% in Webster.
- There is a higher percentage of disabled individuals in Webster at 14.0% compared to 12.0% in Middle point.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Middle point | Webster |
|---|---|---|
| No Schooling | 1.1% (6) | 0.0% (Data is updating) |
| High School Diploma | 34.2% (193) | 21.9% (375) |
| Less than High School | 13.1% (74) | 12.6% (216) |
| Bachelor's Degree and Higher | 9.4% (53) | 14.8% (253) |
Education Levels Comparison: Middle point vs Webster
- A higher percentage of residents in Middle point have no formal schooling at 1.1% compared to 0.0% in Webster.
- A higher percentage of residents in Middle point hold a high school diploma at 34.2% compared to 21.9% in Webster.
- More residents in Middle point have less than a high school education at 13.1% compared to 12.6% in Webster.
- In Webster, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 9.4% in Middle point.
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.