Demographics details for Manheim, PA vs Sand coulee, MT
Population Overview
Compare main population characteristics in Manheim, PA vs Sand coulee, MT.
| Data | Manheim | Sand coulee |
|---|---|---|
| Population | 5,012 | 223 |
| Median Age | 33.6 years | 43.9 years |
| Median Income | $75,833 | $74,091 |
| Married Families | 39.0% | 54.0% |
| Poverty Level | 8% | 7% |
| Unemployment Rate | 4.5 | 2.5 |
Population Comparison: Manheim vs Sand coulee
- In Manheim, the population is higher at 5,012, compared to 223 in Sand coulee.
- The median age in Sand coulee is higher at 43.9 years, compared to 33.6 years in Manheim.
- Manheim has a higher median income of $75,833 compared to $74,091 in Sand coulee.
- In Sand coulee, the percentage of married families is higher at 54.0%, compared to 39.0% in Manheim.
- Manheim has a higher poverty level at 8% compared to 7% in Sand coulee.
- The unemployment rate in Manheim is higher at 4.5%, compared to 2.5% in Sand coulee.
Demographics
Demographics Manheim vs Sand coulee provide insight into the diversity of the communities to compare.
| Demographic | Manheim | Sand coulee |
|---|---|---|
| Black | 1 | Data is updating |
| White | 87 | 83 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 8 |
| Two or More Races | 7 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Manheim vs Sand coulee
- A higher percentage of Black residents are in Manheim at 1% compared to 0% in Sand coulee.
- Manheim has a higher percentage of White residents at 87% compared to 83% in Sand coulee.
- In Sand coulee, the Asian population stands at 1%, greater than 0% in Manheim.
- Sand coulee has a higher percentage of Hispanic residents at 8%, compared to 5% in Manheim.
- The percentage of residents identifying as two or more races is higher in Sand coulee at 8%, compared to 7% in Manheim.
- The percentage of American Indian residents is the same in both Manheim and Sand coulee at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manheim | Sand coulee |
|---|---|---|
| Mental Health Not Good | 16.3% | 16.3% |
| Physical Health Not Good | 11.3% | 10.8% |
| Depression | 23.4% | 24.3% |
| Smoking | 18.0% | 17.5% |
| Binge Drinking | 17.9% | 22.4% |
| Obesity | 35.4% | 34.6% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Manheim vs Sand coulee
- Poor mental health levels are equal in both Manheim and Sand coulee at 16.3%.
- Higher depression rates are seen in Sand coulee at 24.3% versus 23.4% in Manheim.
- Smoking is more prevalent in Manheim at 18.0% compared to 17.5% in Sand coulee.
- More residents engage in binge drinking in Sand coulee at 22.4% compared to 17.9% in Manheim.
- Obesity rates are higher in Manheim at 35.4% compared to 34.6% in Sand coulee.
- Disability percentages are higher in Manheim at 11.0% compared to 9.0% in Sand coulee.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Manheim | Sand coulee |
|---|---|---|
| No Schooling | 0.8% (38) | 0.0% (Data is updating) |
| High School Diploma | 22.8% (1,142) | 22.0% (49) |
| Less than High School | 9.5% (474) | 16.1% (36) |
| Bachelor's Degree and Higher | 19.6% (983) | 22.9% (51) |
Education Levels Comparison: Manheim vs Sand coulee
- A higher percentage of residents in Manheim have no formal schooling at 0.8% compared to 0.0% in Sand coulee.
- A higher percentage of residents in Manheim hold a high school diploma at 22.8% compared to 22.0% in Sand coulee.
- The percentage of residents with less than a high school education is higher in Sand coulee at 16.1%, compared to 9.5% in Manheim.
- In Sand coulee, a larger share of residents have a bachelor's degree or higher at 22.9% compared to 19.6% in Manheim.
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.