Demographics details for Tuscumbia, MO vs Ingalls, MI
Population Overview
Compare main population characteristics in Tuscumbia, MO vs Ingalls, MI.
Data | Tuscumbia | Ingalls |
---|---|---|
Population | 190 | 150 |
Median Age | 40.4 years | 35.0 years |
Median Income | $44,375 | $60,000 |
Married Families | 21.0% | 50.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Tuscumbia vs Ingalls
- In Tuscumbia, the population is higher at 190, compared to 150 in Ingalls.
- Residents in Tuscumbia have a higher median age of 40.4 years compared to 35.0 years in Ingalls.
- Ingalls has a higher median income of $60,000, compared to $44,375 in Tuscumbia.
- In Ingalls, the percentage of married families is higher at 50.0%, compared to 21.0% in Tuscumbia.
- The poverty level is identical in both Tuscumbia and Ingalls at 10%.
- Ingalls has a higher unemployment rate at 5.0% compared to 3.5% in Tuscumbia.
Demographics
Demographics Tuscumbia vs Ingalls provide insight into the diversity of the communities to compare.
Demographic | Tuscumbia | Ingalls |
---|---|---|
Black | 17 | Data is updating |
White | 78 | 90 |
Asian | 2 | 5 |
Hispanic | 3 | Data is updating |
Two or More Races | Data is updating | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Tuscumbia vs Ingalls
- A higher percentage of Black residents are in Tuscumbia at 17% compared to 0% in Ingalls.
- The percentage of White residents is higher in Ingalls at 90% compared to 78% in Tuscumbia.
- In Ingalls, the Asian population stands at 5%, greater than 2% in Tuscumbia.
- The Hispanic community is larger in Tuscumbia at 3% compared to 0% in Ingalls.
- The percentage of residents identifying as two or more races is higher in Ingalls at 5%, compared to 0% in Tuscumbia.
- The percentage of American Indian residents is the same in both Tuscumbia and Ingalls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Tuscumbia | Ingalls |
---|---|---|
Mental Health Not Good | 17.2% | Data is updating% |
Physical Health Not Good | 13.1% | Data is updating% |
Depression | 22.2% | Data is updating% |
Smoking | 22.5% | Data is updating% |
Binge Drinking | 19.5% | Data is updating% |
Obesity | 40.0% | Data is updating% |
Disability Percentage | 9.0% | Data is updating% |
Health Statistics Comparison: Tuscumbia vs Ingalls
- More residents in Tuscumbia report poor mental health at 17.2% compared to 0.0% in Ingalls.
- Depression is more prevalent in Tuscumbia at 22.2% compared to 0.0% in Ingalls.
- Smoking is more prevalent in Tuscumbia at 22.5% compared to 0.0% in Ingalls.
- Binge drinking is more common in Tuscumbia at 19.5% compared to 0.0% in Ingalls.
- Obesity rates are higher in Tuscumbia at 40.0% compared to 0.0% in Ingalls.
- Disability percentages are higher in Tuscumbia at 9.0% compared to 0.0% in Ingalls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Tuscumbia | Ingalls |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 17.4% (33) | 0.0% (Data is updating) |
Less than High School | 18.9% (36) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 4.7% (9) | 0.0% (Data is updating) |
Education Levels Comparison: Tuscumbia vs Ingalls
- The percentage of residents with no formal schooling is the same in both Tuscumbia and Ingalls at 0.0%.
- A higher percentage of residents in Tuscumbia hold a high school diploma at 17.4% compared to 0.0% in Ingalls.
- More residents in Tuscumbia have less than a high school education at 18.9% compared to 0.0% in Ingalls.
- A higher percentage of residents in Tuscumbia hold a bachelor's degree or higher at 4.7% compared to 0.0% in Ingalls.
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.