Demographics details for Billings, MT vs Fort thomas, KY
Population Overview
Compare main population characteristics in Billings, MT vs Fort thomas, KY.
| Data | Billings | Fort thomas |
|---|---|---|
| Population | 119,960 | 17,133 |
| Median Age | 37.7 years | 37.9 years |
| Median Income | $69,692 | $95,391 |
| Married Families | 37.0% | 45.0% |
| Poverty Level | 10% | 6% |
| Unemployment Rate | 3.5 | 3.0 |
Population Comparison: Billings vs Fort thomas
- In Billings, the population is higher at 119,960, compared to 17,133 in Fort thomas.
- The median age in Fort thomas is higher at 37.9 years, compared to 37.7 years in Billings.
- Fort thomas has a higher median income of $95,391, compared to $69,692 in Billings.
- In Fort thomas, the percentage of married families is higher at 45.0%, compared to 37.0% in Billings.
- Billings has a higher poverty level at 10% compared to 6% in Fort thomas.
- The unemployment rate in Billings is higher at 3.5%, compared to 3.0% in Fort thomas.
Demographics
Demographics Billings vs Fort thomas provide insight into the diversity of the communities to compare.
| Demographic | Billings | Fort thomas |
|---|---|---|
| Black | 1 | 2 |
| White | 82 | 92 |
| Asian | 1 | 1 |
| Hispanic | 7 | 1 |
| Two or More Races | 5 | 4 |
| American Indian | 4 | Data is updating |
Demographics Comparison: Billings vs Fort thomas
- In Fort thomas, the percentage of Black residents is higher at 2% compared to 1% in Billings.
- The percentage of White residents is higher in Fort thomas at 92% compared to 82% in Billings.
- Both Billings and Fort thomas have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Billings at 7% compared to 1% in Fort thomas.
- More residents identify as two or more races in Billings at 5% compared to 4% in Fort thomas.
- A greater percentage of American Indian residents live in Billings at 4% compared to 0% in Fort thomas.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Billings | Fort thomas |
|---|---|---|
| Mental Health Not Good | 16.6% | 15.5% |
| Physical Health Not Good | 11.1% | 9.7% |
| Depression | 27.8% | 26.2% |
| Smoking | 16.1% | 13.6% |
| Binge Drinking | 22.9% | 17.1% |
| Obesity | 32.9% | 32.4% |
| Disability Percentage | 13.0% | 10.0% |
Health Statistics Comparison: Billings vs Fort thomas
- More residents in Billings report poor mental health at 16.6% compared to 15.5% in Fort thomas.
- Depression is more prevalent in Billings at 27.8% compared to 26.2% in Fort thomas.
- Smoking is more prevalent in Billings at 16.1% compared to 13.6% in Fort thomas.
- Binge drinking is more common in Billings at 22.9% compared to 17.1% in Fort thomas.
- Obesity rates are higher in Billings at 32.9% compared to 32.4% in Fort thomas.
- Disability percentages are higher in Billings at 13.0% compared to 10.0% in Fort thomas.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Billings | Fort thomas |
|---|---|---|
| No Schooling | 0.3% (321) | 0.4% (66) |
| High School Diploma | 14.7% (17,691) | 10.7% (1,840) |
| Less than High School | 5.4% (6,502) | 3.3% (569) |
| Bachelor's Degree and Higher | 24.8% (29,705) | 37.3% (6,383) |
Education Levels Comparison: Billings vs Fort thomas
- In Fort thomas, a larger percentage of residents lack formal schooling at 0.4% compared to 0.3% in Billings.
- A higher percentage of residents in Billings hold a high school diploma at 14.7% compared to 10.7% in Fort thomas.
- More residents in Billings have less than a high school education at 5.4% compared to 3.3% in Fort thomas.
- In Fort thomas, a larger share of residents have a bachelor's degree or higher at 37.3% compared to 24.8% in Billings.
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.