Demographics details for Leominster, MA vs Oceanside, NY
Population Overview
Compare main population characteristics in Leominster, MA vs Oceanside, NY.
Data | Leominster | Oceanside |
---|---|---|
Population | 43,646 | 31,488 |
Median Age | 43.0 years | 45.8 years |
Median Income | $75,620 | $136,997 |
Married Families | 38.0% | 50.0% |
Poverty Level | 9% | 4% |
Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Leominster vs Oceanside
- In Leominster, the population is higher at 43,646, compared to 31,488 in Oceanside.
- The median age in Oceanside is higher at 45.8 years, compared to 43.0 years in Leominster.
- Oceanside has a higher median income of $136,997, compared to $75,620 in Leominster.
- In Oceanside, the percentage of married families is higher at 50.0%, compared to 38.0% in Leominster.
- Leominster has a higher poverty level at 9% compared to 4% in Oceanside.
- The unemployment rate in Leominster is higher at 4.2%, compared to 3.2% in Oceanside.
Demographics
Demographics Leominster vs Oceanside provide insight into the diversity of the communities to compare.
Demographic | Leominster | Oceanside |
---|---|---|
Black | 6 | 3 |
White | 67 | 71 |
Asian | 3 | 3 |
Hispanic | 14 | 16 |
Two or More Races | 10 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Leominster vs Oceanside
- A higher percentage of Black residents are in Leominster at 6% compared to 3% in Oceanside.
- The percentage of White residents is higher in Oceanside at 71% compared to 67% in Leominster.
- Both Leominster and Oceanside have the same percentage of Asian residents at 3%.
- Oceanside has a higher percentage of Hispanic residents at 16%, compared to 14% in Leominster.
- More residents identify as two or more races in Leominster at 10% compared to 7% in Oceanside.
- The percentage of American Indian residents is the same in both Leominster and Oceanside at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Leominster | Oceanside |
---|---|---|
Mental Health Not Good | 17.9% | 13.7% |
Physical Health Not Good | 10.6% | 8.3% |
Depression | 23.5% | 17.6% |
Smoking | 15.5% | 11.7% |
Binge Drinking | 16.9% | 18.5% |
Obesity | 32.8% | 26.9% |
Disability Percentage | 12.0% | 9.0% |
Health Statistics Comparison: Leominster vs Oceanside
- More residents in Leominster report poor mental health at 17.9% compared to 13.7% in Oceanside.
- Depression is more prevalent in Leominster at 23.5% compared to 17.6% in Oceanside.
- Smoking is more prevalent in Leominster at 15.5% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in Oceanside at 18.5% compared to 16.9% in Leominster.
- Obesity rates are higher in Leominster at 32.8% compared to 26.9% in Oceanside.
- Disability percentages are higher in Leominster at 12.0% 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 | Leominster | Oceanside |
---|---|---|
No Schooling | 1.1% (477) | 0.8% (241) |
High School Diploma | 18.2% (7,932) | 16.5% (5,186) |
Less than High School | 13.5% (5,889) | 7.5% (2,349) |
Bachelor's Degree and Higher | 24.1% (10,530) | 34.5% (10,876) |
Education Levels Comparison: Leominster vs Oceanside
- A higher percentage of residents in Leominster have no formal schooling at 1.1% compared to 0.8% in Oceanside.
- A higher percentage of residents in Leominster hold a high school diploma at 18.2% compared to 16.5% in Oceanside.
- More residents in Leominster have less than a high school education at 13.5% compared to 7.5% in Oceanside.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 34.5% compared to 24.1% in Leominster.
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.