Demographics details for Markleeville, CA vs Erwin, TN
Population Overview
Compare main population characteristics in Markleeville, CA vs Erwin, TN.
Data | Markleeville | Erwin |
---|---|---|
Population | 163 | 5,953 |
Median Age | 64.6 years | 46.8 years |
Median Income | $93,333 | $40,670 |
Married Families | 63.0% | 48.0% |
Poverty Level | Data is updating | 12% |
Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Markleeville vs Erwin
- The population in Erwin is higher at 5,953, compared to 163 in Markleeville.
- Residents in Markleeville have a higher median age of 64.6 years compared to 46.8 years in Erwin.
- Markleeville has a higher median income of $93,333 compared to $40,670 in Erwin.
- A higher percentage of married families is found in Markleeville at 63.0% compared to 48.0% in Erwin.
- The poverty level is higher in Erwin at 12%, compared to 0% in Markleeville.
- Erwin has a higher unemployment rate at 4.5% compared to 4.2% in Markleeville.
Demographics
Demographics Markleeville vs Erwin provide insight into the diversity of the communities to compare.
Demographic | Markleeville | Erwin |
---|---|---|
Black | Data is updating | Data is updating |
White | 77 | 87 |
Asian | Data is updating | Data is updating |
Hispanic | 23 | 8 |
Two or More Races | Data is updating | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Markleeville vs Erwin
- The percentage of Black residents is the same in both Markleeville and Erwin at 0%.
- The percentage of White residents is higher in Erwin at 87% compared to 77% in Markleeville.
- Both Markleeville and Erwin have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Markleeville at 23% compared to 8% in Erwin.
- The percentage of residents identifying as two or more races is higher in Erwin at 5%, compared to 0% in Markleeville.
- The percentage of American Indian residents is the same in both Markleeville and Erwin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Markleeville | Erwin |
---|---|---|
Mental Health Not Good | 18.3% | 20.2% |
Physical Health Not Good | 12.0% | 14.1% |
Depression | 23.0% | 29.7% |
Smoking | 15.4% | 23.6% |
Binge Drinking | 17.1% | 15.9% |
Obesity | 30.0% | 38.0% |
Disability Percentage | 17.0% | 21.0% |
Health Statistics Comparison: Markleeville vs Erwin
- In Erwin, a higher percentage report poor mental health at 20.2% compared to 18.3% in Markleeville.
- Higher depression rates are seen in Erwin at 29.7% versus 23.0% in Markleeville.
- Erwin has a higher smoking rate at 23.6% compared to 15.4% in Markleeville.
- Binge drinking is more common in Markleeville at 17.1% compared to 15.9% in Erwin.
- Erwin has higher obesity rates at 38.0% compared to 30.0% in Markleeville.
- There is a higher percentage of disabled individuals in Erwin at 21.0% compared to 17.0% in Markleeville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Markleeville | Erwin |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.3% (15) |
High School Diploma | 19.6% (32) | 20.2% (1,201) |
Less than High School | 0.0% (Data is updating) | 19.7% (1,170) |
Bachelor's Degree and Higher | 35.6% (58) | 11.7% (698) |
Education Levels Comparison: Markleeville vs Erwin
- In Erwin, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Markleeville.
- In Erwin, the rate of residents with high school diplomas is higher at 20.2% compared to 19.6% in Markleeville.
- The percentage of residents with less than a high school education is higher in Erwin at 19.7%, compared to 0.0% in Markleeville.
- A higher percentage of residents in Markleeville hold a bachelor's degree or higher at 35.6% compared to 11.7% in Erwin.
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.