Demographics details for Eufaula, AL vs New holland, OH
Population Overview
Compare main population characteristics in Eufaula, AL vs New holland, OH.
Data | Eufaula | New holland |
---|---|---|
Population | 12,539 | 822 |
Median Age | 37.0 years | 40.4 years |
Median Income | $39,511 | $44,167 |
Married Families | 32.0% | 35.0% |
Poverty Level | 13% | 12% |
Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Eufaula vs New holland
- In Eufaula, the population is higher at 12,539, compared to 822 in New holland.
- The median age in New holland is higher at 40.4 years, compared to 37.0 years in Eufaula.
- New holland has a higher median income of $44,167, compared to $39,511 in Eufaula.
- In New holland, the percentage of married families is higher at 35.0%, compared to 32.0% in Eufaula.
- Eufaula has a higher poverty level at 13% compared to 12% in New holland.
- New holland has a higher unemployment rate at 4.2% compared to 3.5% in Eufaula.
Demographics
Demographics Eufaula vs New holland provide insight into the diversity of the communities to compare.
Demographic | Eufaula | New holland |
---|---|---|
Black | 45 | 2 |
White | 48 | 93 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 2 |
Two or More Races | 3 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Eufaula vs New holland
- A higher percentage of Black residents are in Eufaula at 45% compared to 2% in New holland.
- The percentage of White residents is higher in New holland at 93% compared to 48% in Eufaula.
- Both Eufaula and New holland have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Eufaula at 4% compared to 2% in New holland.
- Both Eufaula and New holland have the same percentage of residents identifying as two or more races at 3%.
- The percentage of American Indian residents is the same in both Eufaula and New holland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Eufaula | New holland |
---|---|---|
Mental Health Not Good | 21.5% | 17.6% |
Physical Health Not Good | 16.1% | 12.0% |
Depression | 24.6% | 24.3% |
Smoking | 24.8% | 21.3% |
Binge Drinking | 12.6% | 18.8% |
Obesity | 43.0% | 41.8% |
Disability Percentage | 19.0% | 24.0% |
Health Statistics Comparison: Eufaula vs New holland
- More residents in Eufaula report poor mental health at 21.5% compared to 17.6% in New holland.
- Depression is more prevalent in Eufaula at 24.6% compared to 24.3% in New holland.
- Smoking is more prevalent in Eufaula at 24.8% compared to 21.3% in New holland.
- More residents engage in binge drinking in New holland at 18.8% compared to 12.6% in Eufaula.
- Obesity rates are higher in Eufaula at 43.0% compared to 41.8% in New holland.
- There is a higher percentage of disabled individuals in New holland at 24.0% compared to 19.0% in Eufaula.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Eufaula | New holland |
---|---|---|
No Schooling | 1.0% (120) | 1.0% (8) |
High School Diploma | 19.0% (2,377) | 25.2% (207) |
Less than High School | 18.0% (2,256) | 30.2% (248) |
Bachelor's Degree and Higher | 11.4% (1,430) | 5.2% (43) |
Education Levels Comparison: Eufaula vs New holland
- The percentage of residents with no formal schooling is the same in both Eufaula and New holland at 1.0%.
- In New holland, the rate of residents with high school diplomas is higher at 25.2% compared to 19.0% in Eufaula.
- The percentage of residents with less than a high school education is higher in New holland at 30.2%, compared to 18.0% in Eufaula.
- A higher percentage of residents in Eufaula hold a bachelor's degree or higher at 11.4% compared to 5.2% in New holland.
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.