Demographics details for Belgrade, MT vs Crescent, PA
Population Overview
Compare main population characteristics in Belgrade, MT vs Crescent, PA.
| Data | Belgrade | Crescent |
|---|---|---|
| Population | 11,966 | 2,455 |
| Median Age | 33.4 years | 50.8 years |
| Median Income | $82,769 | $76,116 |
| Married Families | 36.0% | 49.0% |
| Poverty Level | 6% | 4% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Belgrade vs Crescent
- In Belgrade, the population is higher at 11,966, compared to 2,455 in Crescent.
- The median age in Crescent is higher at 50.8 years, compared to 33.4 years in Belgrade.
- Belgrade has a higher median income of $82,769 compared to $76,116 in Crescent.
- In Crescent, the percentage of married families is higher at 49.0%, compared to 36.0% in Belgrade.
- Belgrade has a higher poverty level at 6% compared to 4% in Crescent.
- The unemployment rate is the same in both Belgrade and Crescent at 3.5%.
Demographics
Demographics Belgrade vs Crescent provide insight into the diversity of the communities to compare.
| Demographic | Belgrade | Crescent |
|---|---|---|
| Black | Data is updating | 1 |
| White | 93 | 92 |
| Asian | 1 | 3 |
| Hispanic | 2 | 3 |
| Two or More Races | 3 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Belgrade vs Crescent
- In Crescent, the percentage of Black residents is higher at 1% compared to 0% in Belgrade.
- Belgrade has a higher percentage of White residents at 93% compared to 92% in Crescent.
- In Crescent, the Asian population stands at 3%, greater than 1% in Belgrade.
- Crescent has a higher percentage of Hispanic residents at 3%, compared to 2% in Belgrade.
- More residents identify as two or more races in Belgrade at 3% compared to 1% in Crescent.
- A greater percentage of American Indian residents live in Belgrade at 1% compared to 0% in Crescent.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Belgrade | Crescent |
|---|---|---|
| Mental Health Not Good | 14.8% | Data is updating% |
| Physical Health Not Good | 9.4% | Data is updating% |
| Depression | 23.1% | Data is updating% |
| Smoking | 14.1% | Data is updating% |
| Binge Drinking | 23.9% | Data is updating% |
| Obesity | 24.6% | Data is updating% |
| Disability Percentage | 7.0% | 13.0% |
Health Statistics Comparison: Belgrade vs Crescent
- More residents in Belgrade report poor mental health at 14.8% compared to 0.0% in Crescent.
- Depression is more prevalent in Belgrade at 23.1% compared to 0.0% in Crescent.
- Smoking is more prevalent in Belgrade at 14.1% compared to 0.0% in Crescent.
- Binge drinking is more common in Belgrade at 23.9% compared to 0.0% in Crescent.
- Obesity rates are higher in Belgrade at 24.6% compared to 0.0% in Crescent.
- There is a higher percentage of disabled individuals in Crescent at 13.0% compared to 7.0% in Belgrade.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Belgrade | Crescent |
|---|---|---|
| No Schooling | 0.2% (25) | 1.1% (27) |
| High School Diploma | 14.4% (1,727) | 18.3% (449) |
| Less than High School | 2.5% (301) | 10.8% (264) |
| Bachelor's Degree and Higher | 22.3% (2,670) | 19.8% (487) |
Education Levels Comparison: Belgrade vs Crescent
- In Crescent, a larger percentage of residents lack formal schooling at 1.1% compared to 0.2% in Belgrade.
- In Crescent, the rate of residents with high school diplomas is higher at 18.3% compared to 14.4% in Belgrade.
- The percentage of residents with less than a high school education is higher in Crescent at 10.8%, compared to 2.5% in Belgrade.
- A higher percentage of residents in Belgrade hold a bachelor's degree or higher at 22.3% compared to 19.8% in Crescent.
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.