Demographics details for Waterboro, ME vs Atoka, OK
Population Overview
Compare main population characteristics in Waterboro, ME vs Atoka, OK.
Data | Waterboro | Atoka |
---|---|---|
Population | 7,904 | 3,200 |
Median Age | 44.0 years | 37.5 years |
Median Income | $75,000 | $40,362 |
Married Families | 65.0% | 32.0% |
Poverty Level | 7% | 20% |
Unemployment Rate | 2.3 | 4.5 |
Population Comparison: Waterboro vs Atoka
- In Waterboro, the population is higher at 7,904, compared to 3,200 in Atoka.
- Residents in Waterboro have a higher median age of 44.0 years compared to 37.5 years in Atoka.
- Waterboro has a higher median income of $75,000 compared to $40,362 in Atoka.
- A higher percentage of married families is found in Waterboro at 65.0% compared to 32.0% in Atoka.
- The poverty level is higher in Atoka at 20%, compared to 7% in Waterboro.
- Atoka has a higher unemployment rate at 4.5% compared to 2.3% in Waterboro.
Demographics
Demographics Waterboro vs Atoka provide insight into the diversity of the communities to compare.
Demographic | Waterboro | Atoka |
---|---|---|
Black | 1 | 4 |
White | 95 | 55 |
Asian | 2 | 3 |
Hispanic | 1 | 7 |
Two or More Races | 1 | 17 |
American Indian | Data is updating | 14 |
Demographics Comparison: Waterboro vs Atoka
- In Atoka, the percentage of Black residents is higher at 4% compared to 1% in Waterboro.
- Waterboro has a higher percentage of White residents at 95% compared to 55% in Atoka.
- In Atoka, the Asian population stands at 3%, greater than 2% in Waterboro.
- Atoka has a higher percentage of Hispanic residents at 7%, compared to 1% in Waterboro.
- The percentage of residents identifying as two or more races is higher in Atoka at 17%, compared to 1% in Waterboro.
- In Atoka, the percentage of American Indian residents is higher at 14%, compared to 0% in Waterboro.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Waterboro | Atoka |
---|---|---|
Mental Health Not Good | Data is updating% | 22.1% |
Physical Health Not Good | Data is updating% | 16.7% |
Depression | Data is updating% | 27.8% |
Smoking | Data is updating% | 27.8% |
Binge Drinking | Data is updating% | 12.8% |
Obesity | Data is updating% | 43.5% |
Disability Percentage | Data is updating% | 25.0% |
Health Statistics Comparison: Waterboro vs Atoka
- In Atoka, a higher percentage report poor mental health at 22.1% compared to 0.0% in Waterboro.
- Higher depression rates are seen in Atoka at 27.8% versus 0.0% in Waterboro.
- Atoka has a higher smoking rate at 27.8% compared to 0.0% in Waterboro.
- More residents engage in binge drinking in Atoka at 12.8% compared to 0.0% in Waterboro.
- Atoka has higher obesity rates at 43.5% compared to 0.0% in Waterboro.
- There is a higher percentage of disabled individuals in Atoka at 25.0% compared to 0.0% in Waterboro.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Waterboro | Atoka |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.2% (39) |
High School Diploma | 0.0% (Data is updating) | 19.5% (623) |
Less than High School | 0.0% (Data is updating) | 24.2% (776) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 9.1% (291) |
Education Levels Comparison: Waterboro vs Atoka
- In Atoka, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Waterboro.
- In Atoka, the rate of residents with high school diplomas is higher at 19.5% compared to 0.0% in Waterboro.
- The percentage of residents with less than a high school education is higher in Atoka at 24.2%, compared to 0.0% in Waterboro.
- In Atoka, a larger share of residents have a bachelor's degree or higher at 9.1% compared to 0.0% in Waterboro.
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.