Demographics details for Markleeville, CA vs Tea, SD
Population Overview
Compare main population characteristics in Markleeville, CA vs Tea, SD.
| Data | Markleeville | Tea |
|---|---|---|
| Population | 163 | 6,918 |
| Median Age | 64.6 years | 30.2 years |
| Median Income | $93,333 | $99,153 |
| Married Families | 63.0% | 39.0% |
| Poverty Level | Data is updating | 6% |
| Unemployment Rate | 4.2 | 2.5 |
Population Comparison: Markleeville vs Tea
- The population in Tea is higher at 6,918, compared to 163 in Markleeville.
- Residents in Markleeville have a higher median age of 64.6 years compared to 30.2 years in Tea.
- Tea has a higher median income of $99,153, compared to $93,333 in Markleeville.
- A higher percentage of married families is found in Markleeville at 63.0% compared to 39.0% in Tea.
- The poverty level is higher in Tea at 6%, compared to 0% in Markleeville.
- The unemployment rate in Markleeville is higher at 4.2%, compared to 2.5% in Tea.
Demographics
Demographics Markleeville vs Tea provide insight into the diversity of the communities to compare.
| Demographic | Markleeville | Tea |
|---|---|---|
| Black | Data is updating | 2 |
| White | 77 | 95 |
| Asian | Data is updating | 1 |
| Hispanic | 23 | Data is updating |
| Two or More Races | Data is updating | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Markleeville vs Tea
- In Tea, the percentage of Black residents is higher at 2% compared to 0% in Markleeville.
- The percentage of White residents is higher in Tea at 95% compared to 77% in Markleeville.
- In Tea, the Asian population stands at 1%, greater than 0% in Markleeville.
- The Hispanic community is larger in Markleeville at 23% compared to 0% in Tea.
- The percentage of residents identifying as two or more races is higher in Tea at 2%, compared to 0% in Markleeville.
- The percentage of American Indian residents is the same in both Markleeville and Tea at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Markleeville | Tea |
|---|---|---|
| Mental Health Not Good | 18.3% | 11.3% |
| Physical Health Not Good | 12.0% | 7.7% |
| Depression | 23.0% | 16.6% |
| Smoking | 15.4% | 12.6% |
| Binge Drinking | 17.1% | 21.6% |
| Obesity | 30.0% | 34.5% |
| Disability Percentage | 17.0% | 4.0% |
Health Statistics Comparison: Markleeville vs Tea
- More residents in Markleeville report poor mental health at 18.3% compared to 11.3% in Tea.
- Depression is more prevalent in Markleeville at 23.0% compared to 16.6% in Tea.
- Smoking is more prevalent in Markleeville at 15.4% compared to 12.6% in Tea.
- More residents engage in binge drinking in Tea at 21.6% compared to 17.1% in Markleeville.
- Tea has higher obesity rates at 34.5% compared to 30.0% in Markleeville.
- Disability percentages are higher in Markleeville at 17.0% compared to 4.0% in Tea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Markleeville | Tea |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.1% (10) |
| High School Diploma | 19.6% (32) | 7.8% (537) |
| Less than High School | 0.0% (Data is updating) | 1.6% (108) |
| Bachelor's Degree and Higher | 35.6% (58) | 19.9% (1,378) |
Education Levels Comparison: Markleeville vs Tea
- In Tea, a larger percentage of residents lack formal schooling at 0.1% compared to 0.0% in Markleeville.
- A higher percentage of residents in Markleeville hold a high school diploma at 19.6% compared to 7.8% in Tea.
- The percentage of residents with less than a high school education is higher in Tea at 1.6%, 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 19.9% in Tea.
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.