Demographics details for Billings, MT vs Cross city, FL
Population Overview
Compare main population characteristics in Billings, MT vs Cross city, FL.
| Data | Billings | Cross city |
|---|---|---|
| Population | 119,960 | 1,754 |
| Median Age | 37.7 years | 40.2 years |
| Median Income | $69,692 | $44,500 |
| Married Families | 37.0% | 47.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Billings vs Cross city
- In Billings, the population is higher at 119,960, compared to 1,754 in Cross city.
- The median age in Cross city is higher at 40.2 years, compared to 37.7 years in Billings.
- Billings has a higher median income of $69,692 compared to $44,500 in Cross city.
- In Cross city, the percentage of married families is higher at 47.0%, compared to 37.0% in Billings.
- The poverty level is higher in Cross city at 18%, compared to 10% in Billings.
- The unemployment rate is the same in both Billings and Cross city at 3.5%.
Demographics
Demographics Billings vs Cross city provide insight into the diversity of the communities to compare.
| Demographic | Billings | Cross city |
|---|---|---|
| Black | 1 | 20 |
| White | 82 | 61 |
| Asian | 1 | 2 |
| Hispanic | 7 | 9 |
| Two or More Races | 5 | 8 |
| American Indian | 4 | Data is updating |
Demographics Comparison: Billings vs Cross city
- In Cross city, the percentage of Black residents is higher at 20% compared to 1% in Billings.
- Billings has a higher percentage of White residents at 82% compared to 61% in Cross city.
- In Cross city, the Asian population stands at 2%, greater than 1% in Billings.
- Cross city has a higher percentage of Hispanic residents at 9%, compared to 7% in Billings.
- The percentage of residents identifying as two or more races is higher in Cross city at 8%, compared to 5% in Billings.
- A greater percentage of American Indian residents live in Billings at 4% compared to 0% in Cross city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Billings | Cross city |
|---|---|---|
| Mental Health Not Good | 16.6% | 20.0% |
| Physical Health Not Good | 11.1% | 15.8% |
| Depression | 27.8% | 23.8% |
| Smoking | 16.1% | 29.1% |
| Binge Drinking | 22.9% | 14.8% |
| Obesity | 32.9% | 40.8% |
| Disability Percentage | 13.0% | 32.0% |
Health Statistics Comparison: Billings vs Cross city
- In Cross city, a higher percentage report poor mental health at 20.0% compared to 16.6% in Billings.
- Depression is more prevalent in Billings at 27.8% compared to 23.8% in Cross city.
- Cross city has a higher smoking rate at 29.1% compared to 16.1% in Billings.
- Binge drinking is more common in Billings at 22.9% compared to 14.8% in Cross city.
- Cross city has higher obesity rates at 40.8% compared to 32.9% in Billings.
- There is a higher percentage of disabled individuals in Cross city at 32.0% 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 | Cross city |
|---|---|---|
| No Schooling | 0.3% (321) | 0.9% (15) |
| High School Diploma | 14.7% (17,691) | 39.2% (688) |
| Less than High School | 5.4% (6,502) | 11.7% (205) |
| Bachelor's Degree and Higher | 24.8% (29,705) | 7.8% (136) |
Education Levels Comparison: Billings vs Cross city
- In Cross city, a larger percentage of residents lack formal schooling at 0.9% compared to 0.3% in Billings.
- In Cross city, the rate of residents with high school diplomas is higher at 39.2% compared to 14.7% in Billings.
- The percentage of residents with less than a high school education is higher in Cross city at 11.7%, 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 7.8% in Cross city.
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.