Demographics details for Foster, OK vs Gillette, NJ
Population Overview
Compare main population characteristics in Foster, OK vs Gillette, NJ.
Data | Foster | Gillette |
---|---|---|
Population | 247 | 3,251 |
Median Age | 38.8 years | 41.0 years |
Median Income | $68,871 | $145,000 |
Married Families | 47.0% | 62.0% |
Poverty Level | 12% | 2% |
Unemployment Rate | 2.5 | 3.0 |
Population Comparison: Foster vs Gillette
- The population in Gillette is higher at 3,251, compared to 247 in Foster.
- The median age in Gillette is higher at 41.0 years, compared to 38.8 years in Foster.
- Gillette has a higher median income of $145,000, compared to $68,871 in Foster.
- In Gillette, the percentage of married families is higher at 62.0%, compared to 47.0% in Foster.
- Foster has a higher poverty level at 12% compared to 2% in Gillette.
- Gillette has a higher unemployment rate at 3.0% compared to 2.5% in Foster.
Demographics
Demographics Foster vs Gillette provide insight into the diversity of the communities to compare.
Demographic | Foster | Gillette |
---|---|---|
Black | Data is updating | 1 |
White | 73 | 90 |
Asian | Data is updating | 4 |
Hispanic | Data is updating | 2 |
Two or More Races | 20 | 3 |
American Indian | 7 | Data is updating |
Demographics Comparison: Foster vs Gillette
- In Gillette, the percentage of Black residents is higher at 1% compared to 0% in Foster.
- The percentage of White residents is higher in Gillette at 90% compared to 73% in Foster.
- In Gillette, the Asian population stands at 4%, greater than 0% in Foster.
- Gillette has a higher percentage of Hispanic residents at 2%, compared to 0% in Foster.
- More residents identify as two or more races in Foster at 20% compared to 3% in Gillette.
- A greater percentage of American Indian residents live in Foster at 7% compared to 0% in Gillette.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Foster | Gillette |
---|---|---|
Mental Health Not Good | 18.5% | Data is updating% |
Physical Health Not Good | 12.9% | Data is updating% |
Depression | 24.7% | Data is updating% |
Smoking | 21.6% | Data is updating% |
Binge Drinking | 15.3% | Data is updating% |
Obesity | 41.9% | Data is updating% |
Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Foster vs Gillette
- More residents in Foster report poor mental health at 18.5% compared to 0.0% in Gillette.
- Depression is more prevalent in Foster at 24.7% compared to 0.0% in Gillette.
- Smoking is more prevalent in Foster at 21.6% compared to 0.0% in Gillette.
- Binge drinking is more common in Foster at 15.3% compared to 0.0% in Gillette.
- Obesity rates are higher in Foster at 41.9% compared to 0.0% in Gillette.
- Disability percentages are higher in Foster at 13.0% compared to 0.0% in Gillette.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Foster | Gillette |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 30.4% (75) | 0.0% (Data is updating) |
Less than High School | 8.1% (20) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 22.3% (55) | 0.0% (Data is updating) |
Education Levels Comparison: Foster vs Gillette
- The percentage of residents with no formal schooling is the same in both Foster and Gillette at 0.0%.
- A higher percentage of residents in Foster hold a high school diploma at 30.4% compared to 0.0% in Gillette.
- More residents in Foster have less than a high school education at 8.1% compared to 0.0% in Gillette.
- A higher percentage of residents in Foster hold a bachelor's degree or higher at 22.3% compared to 0.0% in Gillette.
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.