Demographics details for Kellogg, ID vs Mount clemens, MI
Population Overview
Compare main population characteristics in Kellogg, ID vs Mount clemens, MI.
Data | Kellogg | Mount clemens |
---|---|---|
Population | 2,454 | 15,409 |
Median Age | 36.1 years | 40.2 years |
Median Income | $38,316 | $55,154 |
Married Families | 26.0% | 30.0% |
Poverty Level | 14% | 12% |
Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Kellogg vs Mount clemens
- The population in Mount clemens is higher at 15,409, compared to 2,454 in Kellogg.
- The median age in Mount clemens is higher at 40.2 years, compared to 36.1 years in Kellogg.
- Mount clemens has a higher median income of $55,154, compared to $38,316 in Kellogg.
- In Mount clemens, the percentage of married families is higher at 30.0%, compared to 26.0% in Kellogg.
- Kellogg has a higher poverty level at 14% compared to 12% in Mount clemens.
- The unemployment rate in Kellogg is higher at 5.0%, compared to 3.5% in Mount clemens.
Demographics
Demographics Kellogg vs Mount clemens provide insight into the diversity of the communities to compare.
Demographic | Kellogg | Mount clemens |
---|---|---|
Black | Data is updating | 24 |
White | 87 | 65 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 3 |
Two or More Races | 5 | 8 |
American Indian | 4 | Data is updating |
Demographics Comparison: Kellogg vs Mount clemens
- In Mount clemens, the percentage of Black residents is higher at 24% compared to 0% in Kellogg.
- Kellogg has a higher percentage of White residents at 87% compared to 65% in Mount clemens.
- Both Kellogg and Mount clemens have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Kellogg at 4% compared to 3% in Mount clemens.
- The percentage of residents identifying as two or more races is higher in Mount clemens at 8%, compared to 5% in Kellogg.
- A greater percentage of American Indian residents live in Kellogg at 4% compared to 0% in Mount clemens.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kellogg | Mount clemens |
---|---|---|
Mental Health Not Good | 19.3% | 19.9% |
Physical Health Not Good | 15.0% | 14.1% |
Depression | 25.3% | 25.8% |
Smoking | 23.4% | 25.2% |
Binge Drinking | 15.4% | 16.9% |
Obesity | 39.3% | 42.7% |
Disability Percentage | 21.0% | 14.0% |
Health Statistics Comparison: Kellogg vs Mount clemens
- In Mount clemens, a higher percentage report poor mental health at 19.9% compared to 19.3% in Kellogg.
- Higher depression rates are seen in Mount clemens at 25.8% versus 25.3% in Kellogg.
- Mount clemens has a higher smoking rate at 25.2% compared to 23.4% in Kellogg.
- More residents engage in binge drinking in Mount clemens at 16.9% compared to 15.4% in Kellogg.
- Mount clemens has higher obesity rates at 42.7% compared to 39.3% in Kellogg.
- Disability percentages are higher in Kellogg at 21.0% compared to 14.0% in Mount clemens.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kellogg | Mount clemens |
---|---|---|
No Schooling | 0.9% (21) | 1.4% (222) |
High School Diploma | 13.7% (335) | 22.3% (3,437) |
Less than High School | 22.2% (544) | 16.6% (2,554) |
Bachelor's Degree and Higher | 8.2% (201) | 12.1% (1,867) |
Education Levels Comparison: Kellogg vs Mount clemens
- In Mount clemens, a larger percentage of residents lack formal schooling at 1.4% compared to 0.9% in Kellogg.
- In Mount clemens, the rate of residents with high school diplomas is higher at 22.3% compared to 13.7% in Kellogg.
- More residents in Kellogg have less than a high school education at 22.2% compared to 16.6% in Mount clemens.
- In Mount clemens, a larger share of residents have a bachelor's degree or higher at 12.1% compared to 8.2% in Kellogg.
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.