Demographics details for Olla, LA vs Big sky, MT
Population Overview
Compare main population characteristics in Olla, LA vs Big sky, MT.
| Data | Olla | Big sky |
|---|---|---|
| Population | 1,617 | 2,825 |
| Median Age | 35.0 years | 37.2 years |
| Median Income | $45,000 | $94,176 |
| Married Families | 200.0% | 43.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Olla vs Big sky
- The population in Big sky is higher at 2,825, compared to 1,617 in Olla.
- The median age in Big sky is higher at 37.2 years, compared to 35.0 years in Olla.
- Big sky has a higher median income of $94,176, compared to $45,000 in Olla.
- A higher percentage of married families is found in Olla at 200.0% compared to 43.0% in Big sky.
- Olla has a higher poverty level at 12% compared to 5% in Big sky.
- Big sky has a higher unemployment rate at 3.5% compared to 3.0% in Olla.
Demographics
Demographics Olla vs Big sky provide insight into the diversity of the communities to compare.
| Demographic | Olla | Big sky |
|---|---|---|
| Black | 20 | Data is updating |
| White | 70 | 85 |
| Asian | 5 | Data is updating |
| Hispanic | 5 | 12 |
| Two or More Races | Data is updating | 2 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Olla vs Big sky
- A higher percentage of Black residents are in Olla at 20% compared to 0% in Big sky.
- The percentage of White residents is higher in Big sky at 85% compared to 70% in Olla.
- The Asian population is larger in Olla at 5% compared to 0% in Big sky.
- Big sky has a higher percentage of Hispanic residents at 12%, compared to 5% in Olla.
- The percentage of residents identifying as two or more races is higher in Big sky at 2%, compared to 0% in Olla.
- In Big sky, the percentage of American Indian residents is higher at 1%, compared to 0% in Olla.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Olla | Big sky |
|---|---|---|
| Mental Health Not Good | Data is updating% | 12.8% |
| Physical Health Not Good | Data is updating% | 8.0% |
| Depression | Data is updating% | 20.6% |
| Smoking | Data is updating% | 10.7% |
| Binge Drinking | Data is updating% | 24.3% |
| Obesity | Data is updating% | 24.1% |
| Disability Percentage | Data is updating% | 5.0% |
Health Statistics Comparison: Olla vs Big sky
- In Big sky, a higher percentage report poor mental health at 12.8% compared to 0.0% in Olla.
- Higher depression rates are seen in Big sky at 20.6% versus 0.0% in Olla.
- Big sky has a higher smoking rate at 10.7% compared to 0.0% in Olla.
- More residents engage in binge drinking in Big sky at 24.3% compared to 0.0% in Olla.
- Big sky has higher obesity rates at 24.1% compared to 0.0% in Olla.
- There is a higher percentage of disabled individuals in Big sky at 5.0% compared to 0.0% in Olla.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Olla | Big sky |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 10.1% (284) |
| Less than High School | 0.0% (Data is updating) | 4.2% (118) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 44.6% (1,261) |
Education Levels Comparison: Olla vs Big sky
- The percentage of residents with no formal schooling is the same in both Olla and Big sky at 0.0%.
- In Big sky, the rate of residents with high school diplomas is higher at 10.1% compared to 0.0% in Olla.
- The percentage of residents with less than a high school education is higher in Big sky at 4.2%, compared to 0.0% in Olla.
- In Big sky, a larger share of residents have a bachelor's degree or higher at 44.6% compared to 0.0% in Olla.
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.