Demographics details for Leominster, MA vs Everest, KS
Population Overview
Compare main population characteristics in Leominster, MA vs Everest, KS.
| Data | Leominster | Everest |
|---|---|---|
| Population | 43,646 | 258 |
| Median Age | 43.0 years | 34.5 years |
| Median Income | $75,620 | $44,375 |
| Married Families | 38.0% | 50.0% |
| Poverty Level | 9% | 11% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Leominster vs Everest
- In Leominster, the population is higher at 43,646, compared to 258 in Everest.
- Residents in Leominster have a higher median age of 43.0 years compared to 34.5 years in Everest.
- Leominster has a higher median income of $75,620 compared to $44,375 in Everest.
- In Everest, the percentage of married families is higher at 50.0%, compared to 38.0% in Leominster.
- The poverty level is higher in Everest at 11%, compared to 9% in Leominster.
- The unemployment rate in Leominster is higher at 4.2%, compared to 3.5% in Everest.
Demographics
Demographics Leominster vs Everest provide insight into the diversity of the communities to compare.
| Demographic | Leominster | Everest |
|---|---|---|
| Black | 6 | 2 |
| White | 67 | 90 |
| Asian | 3 | Data is updating |
| Hispanic | 14 | Data is updating |
| Two or More Races | 10 | 6 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Leominster vs Everest
- A higher percentage of Black residents are in Leominster at 6% compared to 2% in Everest.
- The percentage of White residents is higher in Everest at 90% compared to 67% in Leominster.
- The Asian population is larger in Leominster at 3% compared to 0% in Everest.
- The Hispanic community is larger in Leominster at 14% compared to 0% in Everest.
- More residents identify as two or more races in Leominster at 10% compared to 6% in Everest.
- In Everest, the percentage of American Indian residents is higher at 2%, compared to 0% in Leominster.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Leominster | Everest |
|---|---|---|
| Mental Health Not Good | 17.9% | 17.3% |
| Physical Health Not Good | 10.6% | 11.2% |
| Depression | 23.5% | 22.4% |
| Smoking | 15.5% | 20.4% |
| Binge Drinking | 16.9% | 19.1% |
| Obesity | 32.8% | 37.8% |
| Disability Percentage | 12.0% | 50.0% |
Health Statistics Comparison: Leominster vs Everest
- More residents in Leominster report poor mental health at 17.9% compared to 17.3% in Everest.
- Depression is more prevalent in Leominster at 23.5% compared to 22.4% in Everest.
- Everest has a higher smoking rate at 20.4% compared to 15.5% in Leominster.
- More residents engage in binge drinking in Everest at 19.1% compared to 16.9% in Leominster.
- Everest has higher obesity rates at 37.8% compared to 32.8% in Leominster.
- There is a higher percentage of disabled individuals in Everest at 50.0% compared to 12.0% in Leominster.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Leominster | Everest |
|---|---|---|
| No Schooling | 1.1% (477) | 0.0% (Data is updating) |
| High School Diploma | 18.2% (7,932) | 26.4% (68) |
| Less than High School | 13.5% (5,889) | 17.8% (46) |
| Bachelor's Degree and Higher | 24.1% (10,530) | 36.8% (95) |
Education Levels Comparison: Leominster vs Everest
- A higher percentage of residents in Leominster have no formal schooling at 1.1% compared to 0.0% in Everest.
- In Everest, the rate of residents with high school diplomas is higher at 26.4% compared to 18.2% in Leominster.
- The percentage of residents with less than a high school education is higher in Everest at 17.8%, compared to 13.5% in Leominster.
- In Everest, a larger share of residents have a bachelor's degree or higher at 36.8% 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.