Demographics details for Cuthbert, GA vs Mount union, PA
Population Overview
Compare main population characteristics in Cuthbert, GA vs Mount union, PA.
| Data | Cuthbert | Mount union |
|---|---|---|
| Population | 2,939 | 2,267 |
| Median Age | 37.6 years | 34.8 years |
| Median Income | $21,278 | $38,382 |
| Married Families | 16.0% | 25.0% |
| Poverty Level | 28% | 12% |
| Unemployment Rate | 5.5 | 4.2 |
Population Comparison: Cuthbert vs Mount union
- In Cuthbert, the population is higher at 2,939, compared to 2,267 in Mount union.
- Residents in Cuthbert have a higher median age of 37.6 years compared to 34.8 years in Mount union.
- Mount union has a higher median income of $38,382, compared to $21,278 in Cuthbert.
- In Mount union, the percentage of married families is higher at 25.0%, compared to 16.0% in Cuthbert.
- Cuthbert has a higher poverty level at 28% compared to 12% in Mount union.
- The unemployment rate in Cuthbert is higher at 5.5%, compared to 4.2% in Mount union.
Demographics
Demographics Cuthbert vs Mount union provide insight into the diversity of the communities to compare.
| Demographic | Cuthbert | Mount union |
|---|---|---|
| Black | 92 | 8 |
| White | 1 | 87 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 1 |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cuthbert vs Mount union
- A higher percentage of Black residents are in Cuthbert at 92% compared to 8% in Mount union.
- The percentage of White residents is higher in Mount union at 87% compared to 1% in Cuthbert.
- Both Cuthbert and Mount union have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Cuthbert at 4% compared to 1% in Mount union.
- The percentage of residents identifying as two or more races is higher in Mount union at 4%, compared to 3% in Cuthbert.
- The percentage of American Indian residents is the same in both Cuthbert and Mount union at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cuthbert | Mount union |
|---|---|---|
| Mental Health Not Good | 21.4% | 20.7% |
| Physical Health Not Good | 18.1% | 15.3% |
| Depression | 20.9% | 25.6% |
| Smoking | 27.3% | 26.4% |
| Binge Drinking | 11.1% | 16.4% |
| Obesity | 50.4% | 43.0% |
| Disability Percentage | 17.0% | 20.0% |
Health Statistics Comparison: Cuthbert vs Mount union
- More residents in Cuthbert report poor mental health at 21.4% compared to 20.7% in Mount union.
- Higher depression rates are seen in Mount union at 25.6% versus 20.9% in Cuthbert.
- Smoking is more prevalent in Cuthbert at 27.3% compared to 26.4% in Mount union.
- More residents engage in binge drinking in Mount union at 16.4% compared to 11.1% in Cuthbert.
- Obesity rates are higher in Cuthbert at 50.4% compared to 43.0% in Mount union.
- There is a higher percentage of disabled individuals in Mount union at 20.0% compared to 17.0% in Cuthbert.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cuthbert | Mount union |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.9% (43) |
| High School Diploma | 20.6% (604) | 28.5% (646) |
| Less than High School | 17.1% (502) | 16.3% (370) |
| Bachelor's Degree and Higher | 9.6% (282) | 6.3% (142) |
Education Levels Comparison: Cuthbert vs Mount union
- In Mount union, a larger percentage of residents lack formal schooling at 1.9% compared to 0.0% in Cuthbert.
- In Mount union, the rate of residents with high school diplomas is higher at 28.5% compared to 20.6% in Cuthbert.
- More residents in Cuthbert have less than a high school education at 17.1% compared to 16.3% in Mount union.
- A higher percentage of residents in Cuthbert hold a bachelor's degree or higher at 9.6% compared to 6.3% in Mount union.
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.