Demographics details for Belt, MT vs Portsmouth, NH
Population Overview
Compare main population characteristics in Belt, MT vs Portsmouth, NH.
Data | Belt | Portsmouth |
---|---|---|
Population | 522 | 22,713 |
Median Age | 46.6 years | 42.1 years |
Median Income | $65,500 | $100,169 |
Married Families | 37.0% | 40.0% |
Poverty Level | 13% | 5% |
Unemployment Rate | 3.5 | 2.1 |
Population Comparison: Belt vs Portsmouth
- The population in Portsmouth is higher at 22,713, compared to 522 in Belt.
- Residents in Belt have a higher median age of 46.6 years compared to 42.1 years in Portsmouth.
- Portsmouth has a higher median income of $100,169, compared to $65,500 in Belt.
- In Portsmouth, the percentage of married families is higher at 40.0%, compared to 37.0% in Belt.
- Belt has a higher poverty level at 13% compared to 5% in Portsmouth.
- The unemployment rate in Belt is higher at 3.5%, compared to 2.1% in Portsmouth.
Demographics
Demographics Belt vs Portsmouth provide insight into the diversity of the communities to compare.
Demographic | Belt | Portsmouth |
---|---|---|
Black | Data is updating | 1 |
White | 88 | 89 |
Asian | Data is updating | 4 |
Hispanic | 10 | 2 |
Two or More Races | 2 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Belt vs Portsmouth
- In Portsmouth, the percentage of Black residents is higher at 1% compared to 0% in Belt.
- The percentage of White residents is higher in Portsmouth at 89% compared to 88% in Belt.
- In Portsmouth, the Asian population stands at 4%, greater than 0% in Belt.
- The Hispanic community is larger in Belt at 10% compared to 2% in Portsmouth.
- The percentage of residents identifying as two or more races is higher in Portsmouth at 4%, compared to 2% in Belt.
- The percentage of American Indian residents is the same in both Belt and Portsmouth at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Belt | Portsmouth |
---|---|---|
Mental Health Not Good | 15.9% | 14.0% |
Physical Health Not Good | 10.7% | 8.1% |
Depression | 23.8% | 22.8% |
Smoking | 17.6% | 11.5% |
Binge Drinking | 23.0% | 18.5% |
Obesity | 34.4% | 27.6% |
Disability Percentage | 20.0% | 10.0% |
Health Statistics Comparison: Belt vs Portsmouth
- More residents in Belt report poor mental health at 15.9% compared to 14.0% in Portsmouth.
- Depression is more prevalent in Belt at 23.8% compared to 22.8% in Portsmouth.
- Smoking is more prevalent in Belt at 17.6% compared to 11.5% in Portsmouth.
- Binge drinking is more common in Belt at 23.0% compared to 18.5% in Portsmouth.
- Obesity rates are higher in Belt at 34.4% compared to 27.6% in Portsmouth.
- Disability percentages are higher in Belt at 20.0% compared to 10.0% in Portsmouth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Belt | Portsmouth |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.3% (65) |
High School Diploma | 22.4% (117) | 10.8% (2,450) |
Less than High School | 16.5% (86) | 4.0% (898) |
Bachelor's Degree and Higher | 13.2% (69) | 47.4% (10,777) |
Education Levels Comparison: Belt vs Portsmouth
- In Portsmouth, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Belt.
- A higher percentage of residents in Belt hold a high school diploma at 22.4% compared to 10.8% in Portsmouth.
- More residents in Belt have less than a high school education at 16.5% compared to 4.0% in Portsmouth.
- In Portsmouth, a larger share of residents have a bachelor's degree or higher at 47.4% compared to 13.2% in Belt.
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.