Demographics details for Ingalls, MI vs Eufaula, OK
Population Overview
Compare main population characteristics in Ingalls, MI vs Eufaula, OK.
Data | Ingalls | Eufaula |
---|---|---|
Population | 150 | 2,805 |
Median Age | 35.0 years | 47.7 years |
Median Income | $60,000 | $38,774 |
Married Families | 50.0% | 26.0% |
Poverty Level | 10% | 15% |
Unemployment Rate | 5.0 | 3.2 |
Population Comparison: Ingalls vs Eufaula
- The population in Eufaula is higher at 2,805, compared to 150 in Ingalls.
- The median age in Eufaula is higher at 47.7 years, compared to 35.0 years in Ingalls.
- Ingalls has a higher median income of $60,000 compared to $38,774 in Eufaula.
- A higher percentage of married families is found in Ingalls at 50.0% compared to 26.0% in Eufaula.
- The poverty level is higher in Eufaula at 15%, compared to 10% in Ingalls.
- The unemployment rate in Ingalls is higher at 5.0%, compared to 3.2% in Eufaula.
Demographics
Demographics Ingalls vs Eufaula provide insight into the diversity of the communities to compare.
Demographic | Ingalls | Eufaula |
---|---|---|
Black | Data is updating | 5 |
White | 90 | 70 |
Asian | 5 | 1 |
Hispanic | Data is updating | Data is updating |
Two or More Races | 5 | 11 |
American Indian | Data is updating | 13 |
Demographics Comparison: Ingalls vs Eufaula
- In Eufaula, the percentage of Black residents is higher at 5% compared to 0% in Ingalls.
- Ingalls has a higher percentage of White residents at 90% compared to 70% in Eufaula.
- The Asian population is larger in Ingalls at 5% compared to 1% in Eufaula.
- The percentage of Hispanic residents is the same in both Ingalls and Eufaula at 0%.
- The percentage of residents identifying as two or more races is higher in Eufaula at 11%, compared to 5% in Ingalls.
- In Eufaula, the percentage of American Indian residents is higher at 13%, compared to 0% in Ingalls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ingalls | Eufaula |
---|---|---|
Mental Health Not Good | Data is updating% | 21.4% |
Physical Health Not Good | Data is updating% | 16.1% |
Depression | Data is updating% | 26.7% |
Smoking | Data is updating% | 26.9% |
Binge Drinking | Data is updating% | 13.1% |
Obesity | Data is updating% | 45.3% |
Disability Percentage | Data is updating% | 24.0% |
Health Statistics Comparison: Ingalls vs Eufaula
- In Eufaula, a higher percentage report poor mental health at 21.4% compared to 0.0% in Ingalls.
- Higher depression rates are seen in Eufaula at 26.7% versus 0.0% in Ingalls.
- Eufaula has a higher smoking rate at 26.9% compared to 0.0% in Ingalls.
- More residents engage in binge drinking in Eufaula at 13.1% compared to 0.0% in Ingalls.
- Eufaula has higher obesity rates at 45.3% compared to 0.0% in Ingalls.
- There is a higher percentage of disabled individuals in Eufaula at 24.0% 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 | Ingalls | Eufaula |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (1) |
High School Diploma | 0.0% (Data is updating) | 21.7% (608) |
Less than High School | 0.0% (Data is updating) | 22.1% (620) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 7.6% (213) |
Education Levels Comparison: Ingalls vs Eufaula
- The percentage of residents with no formal schooling is the same in both Ingalls and Eufaula at 0.0%.
- In Eufaula, the rate of residents with high school diplomas is higher at 21.7% compared to 0.0% in Ingalls.
- The percentage of residents with less than a high school education is higher in Eufaula at 22.1%, compared to 0.0% in Ingalls.
- In Eufaula, a larger share of residents have a bachelor's degree or higher at 7.6% 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.