Demographics details for Falls city, NE vs Eufaula, OK
Population Overview
Compare main population characteristics in Falls city, NE vs Eufaula, OK.
Data | Falls city | Eufaula |
---|---|---|
Population | 4,052 | 2,805 |
Median Age | 40.6 years | 47.7 years |
Median Income | $40,222 | $38,774 |
Married Families | 38.0% | 26.0% |
Poverty Level | 13% | 15% |
Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Falls city vs Eufaula
- In Falls city, the population is higher at 4,052, compared to 2,805 in Eufaula.
- The median age in Eufaula is higher at 47.7 years, compared to 40.6 years in Falls city.
- Falls city has a higher median income of $40,222 compared to $38,774 in Eufaula.
- A higher percentage of married families is found in Falls city at 38.0% compared to 26.0% in Eufaula.
- The poverty level is higher in Eufaula at 15%, compared to 13% in Falls city.
- The unemployment rate in Falls city is higher at 3.5%, compared to 3.2% in Eufaula.
Demographics
Demographics Falls city vs Eufaula provide insight into the diversity of the communities to compare.
Demographic | Falls city | Eufaula |
---|---|---|
Black | 1 | 5 |
White | 91 | 70 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | Data is updating |
Two or More Races | 5 | 11 |
American Indian | 3 | 13 |
Demographics Comparison: Falls city vs Eufaula
- In Eufaula, the percentage of Black residents is higher at 5% compared to 1% in Falls city.
- Falls city has a higher percentage of White residents at 91% compared to 70% in Eufaula.
- In Eufaula, the Asian population stands at 1%, greater than 0% in Falls city.
- The percentage of Hispanic residents is the same in both Falls city and Eufaula at 0%.
- The percentage of residents identifying as two or more races is higher in Eufaula at 11%, compared to 5% in Falls city.
- In Eufaula, the percentage of American Indian residents is higher at 13%, compared to 3% in Falls city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Falls city | Eufaula |
---|---|---|
Mental Health Not Good | 14.9% | 21.4% |
Physical Health Not Good | 10.9% | 16.1% |
Depression | 17.2% | 26.7% |
Smoking | 19.3% | 26.9% |
Binge Drinking | 20.4% | 13.1% |
Obesity | 43.9% | 45.3% |
Disability Percentage | 14.0% | 24.0% |
Health Statistics Comparison: Falls city vs Eufaula
- In Eufaula, a higher percentage report poor mental health at 21.4% compared to 14.9% in Falls city.
- Higher depression rates are seen in Eufaula at 26.7% versus 17.2% in Falls city.
- Eufaula has a higher smoking rate at 26.9% compared to 19.3% in Falls city.
- Binge drinking is more common in Falls city at 20.4% compared to 13.1% in Eufaula.
- Eufaula has higher obesity rates at 45.3% compared to 43.9% in Falls city.
- There is a higher percentage of disabled individuals in Eufaula at 24.0% compared to 14.0% in Falls city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Falls city | Eufaula |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (1) |
High School Diploma | 26.2% (1,063) | 21.7% (608) |
Less than High School | 8.6% (349) | 22.1% (620) |
Bachelor's Degree and Higher | 14.8% (598) | 7.6% (213) |
Education Levels Comparison: Falls city vs Eufaula
- The percentage of residents with no formal schooling is the same in both Falls city and Eufaula at 0.0%.
- A higher percentage of residents in Falls city hold a high school diploma at 26.2% compared to 21.7% in Eufaula.
- The percentage of residents with less than a high school education is higher in Eufaula at 22.1%, compared to 8.6% in Falls city.
- A higher percentage of residents in Falls city hold a bachelor's degree or higher at 14.8% compared to 7.6% in Eufaula.
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.