Demographics details for Portsmouth, VA vs Big sky, MT
Population Overview
Compare main population characteristics in Portsmouth, VA vs Big sky, MT.
Data | Portsmouth | Big sky |
---|---|---|
Population | 97,029 | 2,825 |
Median Age | 35.6 years | 37.2 years |
Median Income | $57,154 | $94,176 |
Married Families | 30.0% | 43.0% |
Poverty Level | 15% | 5% |
Unemployment Rate | 3.6 | 3.5 |
Population Comparison: Portsmouth vs Big sky
- In Portsmouth, the population is higher at 97,029, compared to 2,825 in Big sky.
- The median age in Big sky is higher at 37.2 years, compared to 35.6 years in Portsmouth.
- Big sky has a higher median income of $94,176, compared to $57,154 in Portsmouth.
- In Big sky, the percentage of married families is higher at 43.0%, compared to 30.0% in Portsmouth.
- Portsmouth has a higher poverty level at 15% compared to 5% in Big sky.
- The unemployment rate in Portsmouth is higher at 3.6%, compared to 3.5% in Big sky.
Demographics
Demographics Portsmouth vs Big sky provide insight into the diversity of the communities to compare.
Demographic | Portsmouth | Big sky |
---|---|---|
Black | 52 | Data is updating |
White | 35 | 85 |
Asian | 1 | Data is updating |
Hispanic | 5 | 12 |
Two or More Races | 7 | 2 |
American Indian | Data is updating | 1 |
Demographics Comparison: Portsmouth vs Big sky
- A higher percentage of Black residents are in Portsmouth at 52% compared to 0% in Big sky.
- The percentage of White residents is higher in Big sky at 85% compared to 35% in Portsmouth.
- The Asian population is larger in Portsmouth at 1% compared to 0% in Big sky.
- Big sky has a higher percentage of Hispanic residents at 12%, compared to 5% in Portsmouth.
- More residents identify as two or more races in Portsmouth at 7% compared to 2% in Big sky.
- In Big sky, the percentage of American Indian residents is higher at 1%, compared to 0% in Portsmouth.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Portsmouth | Big sky |
---|---|---|
Mental Health Not Good | 17.1% | 12.8% |
Physical Health Not Good | 12.1% | 8.0% |
Depression | 21.0% | 20.6% |
Smoking | 18.5% | 10.7% |
Binge Drinking | 15.0% | 24.3% |
Obesity | 47.1% | 24.1% |
Disability Percentage | 14.0% | 5.0% |
Health Statistics Comparison: Portsmouth vs Big sky
- More residents in Portsmouth report poor mental health at 17.1% compared to 12.8% in Big sky.
- Depression is more prevalent in Portsmouth at 21.0% compared to 20.6% in Big sky.
- Smoking is more prevalent in Portsmouth at 18.5% compared to 10.7% in Big sky.
- More residents engage in binge drinking in Big sky at 24.3% compared to 15.0% in Portsmouth.
- Obesity rates are higher in Portsmouth at 47.1% compared to 24.1% in Big sky.
- Disability percentages are higher in Portsmouth at 14.0% compared to 5.0% in Big sky.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Portsmouth | Big sky |
---|---|---|
No Schooling | 0.8% (737) | 0.0% (Data is updating) |
High School Diploma | 17.5% (17,012) | 10.1% (284) |
Less than High School | 9.6% (9,309) | 4.2% (118) |
Bachelor's Degree and Higher | 14.4% (13,933) | 44.6% (1,261) |
Education Levels Comparison: Portsmouth vs Big sky
- A higher percentage of residents in Portsmouth have no formal schooling at 0.8% compared to 0.0% in Big sky.
- A higher percentage of residents in Portsmouth hold a high school diploma at 17.5% compared to 10.1% in Big sky.
- More residents in Portsmouth have less than a high school education at 9.6% compared to 4.2% in Big sky.
- In Big sky, a larger share of residents have a bachelor's degree or higher at 44.6% compared to 14.4% in Portsmouth.
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.