Demographics details for Tyrone, OK vs Custer, MT
Population Overview
Compare main population characteristics in Tyrone, OK vs Custer, MT.
| Data | Tyrone | Custer |
|---|---|---|
| Population | 719 | 12,032 |
| Median Age | 26.9 years | 42.8 years |
| Median Income | $28,000 | $61,114 |
| Married Families | 53.0% | 44.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 5.0 | 2.9 |
Population Comparison: Tyrone vs Custer
- The population in Custer is higher at 12,032, compared to 719 in Tyrone.
- The median age in Custer is higher at 42.8 years, compared to 26.9 years in Tyrone.
- Custer has a higher median income of $61,114, compared to $28,000 in Tyrone.
- A higher percentage of married families is found in Tyrone at 53.0% compared to 44.0% in Custer.
- Tyrone has a higher poverty level at 15% compared to 10% in Custer.
- The unemployment rate in Tyrone is higher at 5.0%, compared to 2.9% in Custer.
Demographics
Demographics Tyrone vs Custer provide insight into the diversity of the communities to compare.
| Demographic | Tyrone | Custer |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | -22 | 89 |
| Asian | Data is updating | Data is updating |
| Hispanic | 96 | 4 |
| Two or More Races | 26 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Tyrone vs Custer
- The percentage of Black residents is the same in both Tyrone and Custer at 0%.
- The percentage of White residents is higher in Custer at 89% compared to -22% in Tyrone.
- Both Tyrone and Custer have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Tyrone at 96% compared to 4% in Custer.
- More residents identify as two or more races in Tyrone at 26% compared to 6% in Custer.
- In Custer, the percentage of American Indian residents is higher at 1%, compared to 0% in Tyrone.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tyrone | Custer |
|---|---|---|
| Mental Health Not Good | 17.3% | 15.9% |
| Physical Health Not Good | 12.2% | 10.6% |
| Depression | 23.3% | 23.9% |
| Smoking | 17.9% | 16.4% |
| Binge Drinking | 14.4% | 22.8% |
| Obesity | 42.5% | 34.3% |
| Disability Percentage | 14.0% | 20.0% |
Health Statistics Comparison: Tyrone vs Custer
- More residents in Tyrone report poor mental health at 17.3% compared to 15.9% in Custer.
- Higher depression rates are seen in Custer at 23.9% versus 23.3% in Tyrone.
- Smoking is more prevalent in Tyrone at 17.9% compared to 16.4% in Custer.
- More residents engage in binge drinking in Custer at 22.8% compared to 14.4% in Tyrone.
- Obesity rates are higher in Tyrone at 42.5% compared to 34.3% in Custer.
- There is a higher percentage of disabled individuals in Custer at 20.0% compared to 14.0% in Tyrone.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tyrone | Custer |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (67) |
| High School Diploma | 14.0% (101) | 19.3% (2,322) |
| Less than High School | 64.8% (466) | 7.3% (873) |
| Bachelor's Degree and Higher | 17.5% (126) | 19.0% (2,285) |
Education Levels Comparison: Tyrone vs Custer
- In Custer, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Tyrone.
- In Custer, the rate of residents with high school diplomas is higher at 19.3% compared to 14.0% in Tyrone.
- More residents in Tyrone have less than a high school education at 64.8% compared to 7.3% in Custer.
- In Custer, a larger share of residents have a bachelor's degree or higher at 19.0% compared to 17.5% in Tyrone.
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.