Demographics details for Steep falls, ME vs Valdosta, GA
Population Overview
Compare main population characteristics in Steep falls, ME vs Valdosta, GA.
Data | Steep falls | Valdosta |
---|---|---|
Population | 2,087 | 55,074 |
Median Age | 39.6 years | 29.2 years |
Median Income | $85,040 | $41,365 |
Married Families | 32.0% | 25.0% |
Poverty Level | 14% | 19% |
Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Steep falls vs Valdosta
- The population in Valdosta is higher at 55,074, compared to 2,087 in Steep falls.
- Residents in Steep falls have a higher median age of 39.6 years compared to 29.2 years in Valdosta.
- Steep falls has a higher median income of $85,040 compared to $41,365 in Valdosta.
- A higher percentage of married families is found in Steep falls at 32.0% compared to 25.0% in Valdosta.
- The poverty level is higher in Valdosta at 19%, compared to 14% in Steep falls.
- Valdosta has a higher unemployment rate at 5.1% compared to 3.5% in Steep falls.
Demographics
Demographics Steep falls vs Valdosta provide insight into the diversity of the communities to compare.
Demographic | Steep falls | Valdosta |
---|---|---|
Black | Data is updating | 56 |
White | 100 | 34 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 5 |
Two or More Races | Data is updating | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Steep falls vs Valdosta
- In Valdosta, the percentage of Black residents is higher at 56% compared to 0% in Steep falls.
- Steep falls has a higher percentage of White residents at 100% compared to 34% in Valdosta.
- In Valdosta, the Asian population stands at 1%, greater than 0% in Steep falls.
- Valdosta has a higher percentage of Hispanic residents at 5%, compared to 0% in Steep falls.
- The percentage of residents identifying as two or more races is higher in Valdosta at 4%, compared to 0% in Steep falls.
- The percentage of American Indian residents is the same in both Steep falls and Valdosta at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Steep falls | Valdosta |
---|---|---|
Mental Health Not Good | 15.7% | 19.7% |
Physical Health Not Good | 9.2% | 15.4% |
Depression | 24.7% | 22.2% |
Smoking | 14.1% | 23.1% |
Binge Drinking | 20.9% | 13.0% |
Obesity | 27.3% | 43.5% |
Disability Percentage | 14.0% | 10.0% |
Health Statistics Comparison: Steep falls vs Valdosta
- In Valdosta, a higher percentage report poor mental health at 19.7% compared to 15.7% in Steep falls.
- Depression is more prevalent in Steep falls at 24.7% compared to 22.2% in Valdosta.
- Valdosta has a higher smoking rate at 23.1% compared to 14.1% in Steep falls.
- Binge drinking is more common in Steep falls at 20.9% compared to 13.0% in Valdosta.
- Valdosta has higher obesity rates at 43.5% compared to 27.3% in Steep falls.
- Disability percentages are higher in Steep falls at 14.0% compared to 10.0% in Valdosta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Steep falls | Valdosta |
---|---|---|
No Schooling | 0.2% (4) | 1.0% (538) |
High School Diploma | 17.7% (370) | 16.3% (8,967) |
Less than High School | 3.2% (66) | 8.9% (4,906) |
Bachelor's Degree and Higher | 10.1% (211) | 15.9% (8,750) |
Education Levels Comparison: Steep falls vs Valdosta
- In Valdosta, a larger percentage of residents lack formal schooling at 1.0% compared to 0.2% in Steep falls.
- A higher percentage of residents in Steep falls hold a high school diploma at 17.7% compared to 16.3% in Valdosta.
- The percentage of residents with less than a high school education is higher in Valdosta at 8.9%, compared to 3.2% in Steep falls.
- In Valdosta, a larger share of residents have a bachelor's degree or higher at 15.9% compared to 10.1% in Steep falls.
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.