Demographics details for Belt, MT vs Monmouth, IA
Population Overview
Compare main population characteristics in Belt, MT vs Monmouth, IA.
| Data | Belt | Monmouth |
|---|---|---|
| Population | 522 | 126 |
| Median Age | 46.6 years | 51.0 years |
| Median Income | $65,500 | $57,500 |
| Married Families | 37.0% | 67.0% |
| Poverty Level | 13% | Data is updating |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Belt vs Monmouth
- In Belt, the population is higher at 522, compared to 126 in Monmouth.
- The median age in Monmouth is higher at 51.0 years, compared to 46.6 years in Belt.
- Belt has a higher median income of $65,500 compared to $57,500 in Monmouth.
- In Monmouth, the percentage of married families is higher at 67.0%, compared to 37.0% in Belt.
- Belt has a higher poverty level at 13% compared to 0% in Monmouth.
- The unemployment rate is the same in both Belt and Monmouth at 3.5%.
Demographics
Demographics Belt vs Monmouth provide insight into the diversity of the communities to compare.
| Demographic | Belt | Monmouth |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 88 | 90 |
| Asian | Data is updating | 10 |
| Hispanic | 10 | Data is updating |
| Two or More Races | 2 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Belt vs Monmouth
- The percentage of Black residents is the same in both Belt and Monmouth at 0%.
- The percentage of White residents is higher in Monmouth at 90% compared to 88% in Belt.
- In Monmouth, the Asian population stands at 10%, greater than 0% in Belt.
- The Hispanic community is larger in Belt at 10% compared to 0% in Monmouth.
- More residents identify as two or more races in Belt at 2% compared to 0% in Monmouth.
- The percentage of American Indian residents is the same in both Belt and Monmouth at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Belt | Monmouth |
|---|---|---|
| Mental Health Not Good | 15.9% | 16.2% |
| Physical Health Not Good | 10.7% | 9.9% |
| Depression | 23.8% | 19.4% |
| Smoking | 17.6% | 18.1% |
| Binge Drinking | 23.0% | 21.8% |
| Obesity | 34.4% | 36.2% |
| Disability Percentage | 20.0% | 17.0% |
Health Statistics Comparison: Belt vs Monmouth
- In Monmouth, a higher percentage report poor mental health at 16.2% compared to 15.9% in Belt.
- Depression is more prevalent in Belt at 23.8% compared to 19.4% in Monmouth.
- Monmouth has a higher smoking rate at 18.1% compared to 17.6% in Belt.
- Binge drinking is more common in Belt at 23.0% compared to 21.8% in Monmouth.
- Monmouth has higher obesity rates at 36.2% compared to 34.4% in Belt.
- Disability percentages are higher in Belt at 20.0% compared to 17.0% in Monmouth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Belt | Monmouth |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 22.4% (117) | 50.0% (63) |
| Less than High School | 16.5% (86) | 19.0% (24) |
| Bachelor's Degree and Higher | 13.2% (69) | 1.6% (2) |
Education Levels Comparison: Belt vs Monmouth
- The percentage of residents with no formal schooling is the same in both Belt and Monmouth at 0.0%.
- In Monmouth, the rate of residents with high school diplomas is higher at 50.0% compared to 22.4% in Belt.
- The percentage of residents with less than a high school education is higher in Monmouth at 19.0%, compared to 16.5% in Belt.
- A higher percentage of residents in Belt hold a bachelor's degree or higher at 13.2% compared to 1.6% in Monmouth.
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.