Demographics details for Billings, MT vs Crystal springs, MS
Population Overview
Compare main population characteristics in Billings, MT vs Crystal springs, MS.
Data | Billings | Crystal springs |
---|---|---|
Population | 119,960 | 4,700 |
Median Age | 37.7 years | 45.3 years |
Median Income | $69,692 | $44,653 |
Married Families | 37.0% | 28.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Billings vs Crystal springs
- In Billings, the population is higher at 119,960, compared to 4,700 in Crystal springs.
- The median age in Crystal springs is higher at 45.3 years, compared to 37.7 years in Billings.
- Billings has a higher median income of $69,692 compared to $44,653 in Crystal springs.
- A higher percentage of married families is found in Billings at 37.0% compared to 28.0% in Crystal springs.
- The poverty level is higher in Crystal springs at 12%, compared to 10% in Billings.
- The unemployment rate is the same in both Billings and Crystal springs at 3.5%.
Demographics
Demographics Billings vs Crystal springs provide insight into the diversity of the communities to compare.
Demographic | Billings | Crystal springs |
---|---|---|
Black | 1 | 66 |
White | 82 | 24 |
Asian | 1 | Data is updating |
Hispanic | 7 | 6 |
Two or More Races | 5 | 4 |
American Indian | 4 | Data is updating |
Demographics Comparison: Billings vs Crystal springs
- In Crystal springs, the percentage of Black residents is higher at 66% compared to 1% in Billings.
- Billings has a higher percentage of White residents at 82% compared to 24% in Crystal springs.
- The Asian population is larger in Billings at 1% compared to 0% in Crystal springs.
- The Hispanic community is larger in Billings at 7% compared to 6% in Crystal springs.
- More residents identify as two or more races in Billings at 5% compared to 4% in Crystal springs.
- A greater percentage of American Indian residents live in Billings at 4% compared to 0% in Crystal springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Billings | Crystal springs |
---|---|---|
Mental Health Not Good | 16.6% | 18.5% |
Physical Health Not Good | 11.1% | 14.9% |
Depression | 27.8% | 21.5% |
Smoking | 16.1% | 24.2% |
Binge Drinking | 22.9% | 12.2% |
Obesity | 32.9% | 45.8% |
Disability Percentage | 13.0% | 18.0% |
Health Statistics Comparison: Billings vs Crystal springs
- In Crystal springs, a higher percentage report poor mental health at 18.5% compared to 16.6% in Billings.
- Depression is more prevalent in Billings at 27.8% compared to 21.5% in Crystal springs.
- Crystal springs has a higher smoking rate at 24.2% compared to 16.1% in Billings.
- Binge drinking is more common in Billings at 22.9% compared to 12.2% in Crystal springs.
- Crystal springs has higher obesity rates at 45.8% compared to 32.9% in Billings.
- There is a higher percentage of disabled individuals in Crystal springs at 18.0% compared to 13.0% in Billings.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Billings | Crystal springs |
---|---|---|
No Schooling | 0.3% (321) | 2.0% (94) |
High School Diploma | 14.7% (17,691) | 12.1% (568) |
Less than High School | 5.4% (6,502) | 20.1% (945) |
Bachelor's Degree and Higher | 24.8% (29,705) | 19.5% (915) |
Education Levels Comparison: Billings vs Crystal springs
- In Crystal springs, a larger percentage of residents lack formal schooling at 2.0% compared to 0.3% in Billings.
- A higher percentage of residents in Billings hold a high school diploma at 14.7% compared to 12.1% in Crystal springs.
- The percentage of residents with less than a high school education is higher in Crystal springs at 20.1%, compared to 5.4% in Billings.
- A higher percentage of residents in Billings hold a bachelor's degree or higher at 24.8% compared to 19.5% in Crystal springs.
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.