Demographics details for Kellogg, ID vs Sutherland, VA
Population Overview
Compare main population characteristics in Kellogg, ID vs Sutherland, VA.
Data | Kellogg | Sutherland |
---|---|---|
Population | 2,454 | 2,000 |
Median Age | 36.1 years | 45.0 years |
Median Income | $38,316 | $60,000 |
Married Families | 26.0% | 60.0% |
Poverty Level | 14% | 10% |
Unemployment Rate | 5.0 | 5.0 |
Population Comparison: Kellogg vs Sutherland
- In Kellogg, the population is higher at 2,454, compared to 2,000 in Sutherland.
- The median age in Sutherland is higher at 45.0 years, compared to 36.1 years in Kellogg.
- Sutherland has a higher median income of $60,000, compared to $38,316 in Kellogg.
- In Sutherland, the percentage of married families is higher at 60.0%, compared to 26.0% in Kellogg.
- Kellogg has a higher poverty level at 14% compared to 10% in Sutherland.
- The unemployment rate is the same in both Kellogg and Sutherland at 5.0%.
Demographics
Demographics Kellogg vs Sutherland provide insight into the diversity of the communities to compare.
Demographic | Kellogg | Sutherland |
---|---|---|
Black | Data is updating | 10 |
White | 87 | 80 |
Asian | Data is updating | 5 |
Hispanic | 4 | 5 |
Two or More Races | 5 | Data is updating |
American Indian | 4 | Data is updating |
Demographics Comparison: Kellogg vs Sutherland
- In Sutherland, the percentage of Black residents is higher at 10% compared to 0% in Kellogg.
- Kellogg has a higher percentage of White residents at 87% compared to 80% in Sutherland.
- In Sutherland, the Asian population stands at 5%, greater than 0% in Kellogg.
- Sutherland has a higher percentage of Hispanic residents at 5%, compared to 4% in Kellogg.
- More residents identify as two or more races in Kellogg at 5% compared to 0% in Sutherland.
- A greater percentage of American Indian residents live in Kellogg at 4% compared to 0% in Sutherland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kellogg | Sutherland |
---|---|---|
Mental Health Not Good | 19.3% | Data is updating% |
Physical Health Not Good | 15.0% | Data is updating% |
Depression | 25.3% | Data is updating% |
Smoking | 23.4% | Data is updating% |
Binge Drinking | 15.4% | Data is updating% |
Obesity | 39.3% | Data is updating% |
Disability Percentage | 21.0% | Data is updating% |
Health Statistics Comparison: Kellogg vs Sutherland
- More residents in Kellogg report poor mental health at 19.3% compared to 0.0% in Sutherland.
- Depression is more prevalent in Kellogg at 25.3% compared to 0.0% in Sutherland.
- Smoking is more prevalent in Kellogg at 23.4% compared to 0.0% in Sutherland.
- Binge drinking is more common in Kellogg at 15.4% compared to 0.0% in Sutherland.
- Obesity rates are higher in Kellogg at 39.3% compared to 0.0% in Sutherland.
- Disability percentages are higher in Kellogg at 21.0% compared to 0.0% in Sutherland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kellogg | Sutherland |
---|---|---|
No Schooling | 0.9% (21) | 0.0% (Data is updating) |
High School Diploma | 13.7% (335) | 0.0% (Data is updating) |
Less than High School | 22.2% (544) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 8.2% (201) | 0.0% (Data is updating) |
Education Levels Comparison: Kellogg vs Sutherland
- A higher percentage of residents in Kellogg have no formal schooling at 0.9% compared to 0.0% in Sutherland.
- A higher percentage of residents in Kellogg hold a high school diploma at 13.7% compared to 0.0% in Sutherland.
- More residents in Kellogg have less than a high school education at 22.2% compared to 0.0% in Sutherland.
- A higher percentage of residents in Kellogg hold a bachelor's degree or higher at 8.2% compared to 0.0% in Sutherland.
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.