Demographics details for Bridgeport, CT vs Big sky, MT
Population Overview
Compare main population characteristics in Bridgeport, CT vs Big sky, MT.
| Data | Bridgeport | Big sky |
|---|---|---|
| Population | 148,377 | 2,825 |
| Median Age | 37.5 years | 37.2 years |
| Median Income | $54,440 | $94,176 |
| Married Families | 29.0% | 43.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 4.4 | 3.5 |
Population Comparison: Bridgeport vs Big sky
- In Bridgeport, the population is higher at 148,377, compared to 2,825 in Big sky.
- Residents in Bridgeport have a higher median age of 37.5 years compared to 37.2 years in Big sky.
- Big sky has a higher median income of $94,176, compared to $54,440 in Bridgeport.
- In Big sky, the percentage of married families is higher at 43.0%, compared to 29.0% in Bridgeport.
- Bridgeport has a higher poverty level at 12% compared to 5% in Big sky.
- The unemployment rate in Bridgeport is higher at 4.4%, compared to 3.5% in Big sky.
Demographics
Demographics Bridgeport vs Big sky provide insight into the diversity of the communities to compare.
| Demographic | Bridgeport | Big sky |
|---|---|---|
| Black | 22 | Data is updating |
| White | 26 | 85 |
| Asian | 7 | Data is updating |
| Hispanic | 36 | 12 |
| Two or More Races | 9 | 2 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bridgeport vs Big sky
- A higher percentage of Black residents are in Bridgeport at 22% compared to 0% in Big sky.
- The percentage of White residents is higher in Big sky at 85% compared to 26% in Bridgeport.
- The Asian population is larger in Bridgeport at 7% compared to 0% in Big sky.
- The Hispanic community is larger in Bridgeport at 36% compared to 12% in Big sky.
- More residents identify as two or more races in Bridgeport at 9% compared to 2% in Big sky.
- In Big sky, the percentage of American Indian residents is higher at 1%, compared to 0% in Bridgeport.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bridgeport | Big sky |
|---|---|---|
| Mental Health Not Good | 17.0% | 12.8% |
| Physical Health Not Good | 13.3% | 8.0% |
| Depression | 18.2% | 20.6% |
| Smoking | 18.2% | 10.7% |
| Binge Drinking | 13.7% | 24.3% |
| Obesity | 32.7% | 24.1% |
| Disability Percentage | 15.0% | 5.0% |
Health Statistics Comparison: Bridgeport vs Big sky
- More residents in Bridgeport report poor mental health at 17.0% compared to 12.8% in Big sky.
- Higher depression rates are seen in Big sky at 20.6% versus 18.2% in Bridgeport.
- Smoking is more prevalent in Bridgeport at 18.2% compared to 10.7% in Big sky.
- More residents engage in binge drinking in Big sky at 24.3% compared to 13.7% in Bridgeport.
- Obesity rates are higher in Bridgeport at 32.7% compared to 24.1% in Big sky.
- Disability percentages are higher in Bridgeport at 15.0% 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 | Bridgeport | Big sky |
|---|---|---|
| No Schooling | 2.5% (3,659) | 0.0% (Data is updating) |
| High School Diploma | 18.7% (27,806) | 10.1% (284) |
| Less than High School | 23.9% (35,520) | 4.2% (118) |
| Bachelor's Degree and Higher | 16.8% (24,999) | 44.6% (1,261) |
Education Levels Comparison: Bridgeport vs Big sky
- A higher percentage of residents in Bridgeport have no formal schooling at 2.5% compared to 0.0% in Big sky.
- A higher percentage of residents in Bridgeport hold a high school diploma at 18.7% compared to 10.1% in Big sky.
- More residents in Bridgeport have less than a high school education at 23.9% 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 16.8% in Bridgeport.
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.