Demographics details for Oceanside, NY vs Red lodge, MT
Population Overview
Compare main population characteristics in Oceanside, NY vs Red lodge, MT.
| Data | Oceanside | Red lodge |
|---|---|---|
| Population | 31,488 | 2,510 |
| Median Age | 45.8 years | 52.9 years |
| Median Income | $136,997 | $39,472 |
| Married Families | 50.0% | 39.0% |
| Poverty Level | 4% | 10% |
| Unemployment Rate | 3.2 | 2.5 |
Population Comparison: Oceanside vs Red lodge
- In Oceanside, the population is higher at 31,488, compared to 2,510 in Red lodge.
- The median age in Red lodge is higher at 52.9 years, compared to 45.8 years in Oceanside.
- Oceanside has a higher median income of $136,997 compared to $39,472 in Red lodge.
- A higher percentage of married families is found in Oceanside at 50.0% compared to 39.0% in Red lodge.
- The poverty level is higher in Red lodge at 10%, compared to 4% in Oceanside.
- The unemployment rate in Oceanside is higher at 3.2%, compared to 2.5% in Red lodge.
Demographics
Demographics Oceanside vs Red lodge provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Red lodge |
|---|---|---|
| Black | 3 | 1 |
| White | 71 | 91 |
| Asian | 3 | 2 |
| Hispanic | 16 | 4 |
| Two or More Races | 7 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oceanside vs Red lodge
- A higher percentage of Black residents are in Oceanside at 3% compared to 1% in Red lodge.
- The percentage of White residents is higher in Red lodge at 91% compared to 71% in Oceanside.
- The Asian population is larger in Oceanside at 3% compared to 2% in Red lodge.
- The Hispanic community is larger in Oceanside at 16% compared to 4% in Red lodge.
- More residents identify as two or more races in Oceanside at 7% compared to 2% in Red lodge.
- The percentage of American Indian residents is the same in both Oceanside and Red lodge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Red lodge |
|---|---|---|
| Mental Health Not Good | 13.7% | 14.8% |
| Physical Health Not Good | 8.3% | 9.4% |
| Depression | 17.6% | 22.8% |
| Smoking | 11.7% | 14.1% |
| Binge Drinking | 18.5% | 23.2% |
| Obesity | 26.9% | 30.5% |
| Disability Percentage | 9.0% | 16.0% |
Health Statistics Comparison: Oceanside vs Red lodge
- In Red lodge, a higher percentage report poor mental health at 14.8% compared to 13.7% in Oceanside.
- Higher depression rates are seen in Red lodge at 22.8% versus 17.6% in Oceanside.
- Red lodge has a higher smoking rate at 14.1% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in Red lodge at 23.2% compared to 18.5% in Oceanside.
- Red lodge has higher obesity rates at 30.5% compared to 26.9% in Oceanside.
- There is a higher percentage of disabled individuals in Red lodge at 16.0% compared to 9.0% in Oceanside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oceanside | Red lodge |
|---|---|---|
| No Schooling | 0.8% (241) | 0.2% (4) |
| High School Diploma | 16.5% (5,186) | 16.9% (423) |
| Less than High School | 7.5% (2,349) | 2.0% (50) |
| Bachelor's Degree and Higher | 34.5% (10,876) | 31.4% (787) |
Education Levels Comparison: Oceanside vs Red lodge
- A higher percentage of residents in Oceanside have no formal schooling at 0.8% compared to 0.2% in Red lodge.
- In Red lodge, the rate of residents with high school diplomas is higher at 16.9% compared to 16.5% in Oceanside.
- More residents in Oceanside have less than a high school education at 7.5% compared to 2.0% in Red lodge.
- A higher percentage of residents in Oceanside hold a bachelor's degree or higher at 34.5% compared to 31.4% in Red lodge.
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.