Demographics details for Oceanside, NY vs Indian trail, NC
Population Overview
Compare main population characteristics in Oceanside, NY vs Indian trail, NC.
| Data | Oceanside | Indian trail |
|---|---|---|
| Population | 31,488 | 41,724 |
| Median Age | 45.8 years | 36.1 years |
| Median Income | $136,997 | $95,101 |
| Married Families | 50.0% | 45.0% |
| Poverty Level | 4% | 6% |
| Unemployment Rate | 3.2 | 3.8 |
Population Comparison: Oceanside vs Indian trail
- The population in Indian trail is higher at 41,724, compared to 31,488 in Oceanside.
- Residents in Oceanside have a higher median age of 45.8 years compared to 36.1 years in Indian trail.
- Oceanside has a higher median income of $136,997 compared to $95,101 in Indian trail.
- A higher percentage of married families is found in Oceanside at 50.0% compared to 45.0% in Indian trail.
- The poverty level is higher in Indian trail at 6%, compared to 4% in Oceanside.
- Indian trail has a higher unemployment rate at 3.8% compared to 3.2% in Oceanside.
Demographics
Demographics Oceanside vs Indian trail provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Indian trail |
|---|---|---|
| Black | 3 | 9 |
| White | 71 | 71 |
| Asian | 3 | 3 |
| Hispanic | 16 | 11 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oceanside vs Indian trail
- In Indian trail, the percentage of Black residents is higher at 9% compared to 3% in Oceanside.
- The percentage of White residents is the same in both Oceanside and Indian trail at 71%.
- Both Oceanside and Indian trail have the same percentage of Asian residents at 3%.
- The Hispanic community is larger in Oceanside at 16% compared to 11% in Indian trail.
- More residents identify as two or more races in Oceanside at 7% compared to 6% in Indian trail.
- The percentage of American Indian residents is the same in both Oceanside and Indian trail at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Indian trail |
|---|---|---|
| Mental Health Not Good | 13.7% | 14.6% |
| Physical Health Not Good | 8.3% | 9.3% |
| Depression | 17.6% | 22.0% |
| Smoking | 11.7% | 13.5% |
| Binge Drinking | 18.5% | 18.5% |
| Obesity | 26.9% | 31.2% |
| Disability Percentage | 9.0% | 7.0% |
Health Statistics Comparison: Oceanside vs Indian trail
- In Indian trail, a higher percentage report poor mental health at 14.6% compared to 13.7% in Oceanside.
- Higher depression rates are seen in Indian trail at 22.0% versus 17.6% in Oceanside.
- Indian trail has a higher smoking rate at 13.5% compared to 11.7% in Oceanside.
- Binge drinking rates are similar in both Oceanside and Indian trail at 18.5%.
- Indian trail has higher obesity rates at 31.2% compared to 26.9% in Oceanside.
- Disability percentages are higher in Oceanside at 9.0% compared to 7.0% in Indian trail.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oceanside | Indian trail |
|---|---|---|
| No Schooling | 0.8% (241) | 0.7% (287) |
| High School Diploma | 16.5% (5,186) | 12.8% (5,353) |
| Less than High School | 7.5% (2,349) | 6.6% (2,761) |
| Bachelor's Degree and Higher | 34.5% (10,876) | 24.4% (10,201) |
Education Levels Comparison: Oceanside vs Indian trail
- A higher percentage of residents in Oceanside have no formal schooling at 0.8% compared to 0.7% in Indian trail.
- A higher percentage of residents in Oceanside hold a high school diploma at 16.5% compared to 12.8% in Indian trail.
- More residents in Oceanside have less than a high school education at 7.5% compared to 6.6% in Indian trail.
- A higher percentage of residents in Oceanside hold a bachelor's degree or higher at 34.5% compared to 24.4% in Indian trail.
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.