Demographics details for Tea, SD vs Bloomington, CA
Population Overview
Compare main population characteristics in Tea, SD vs Bloomington, CA.
| Data | Tea | Bloomington |
|---|---|---|
| Population | 6,918 | 23,051 |
| Median Age | 30.2 years | 32.5 years |
| Median Income | $99,153 | $74,414 |
| Married Families | 39.0% | 37.0% |
| Poverty Level | 6% | 15% |
| Unemployment Rate | 2.5 | 7.5 |
Population Comparison: Tea vs Bloomington
- The population in Bloomington is higher at 23,051, compared to 6,918 in Tea.
- The median age in Bloomington is higher at 32.5 years, compared to 30.2 years in Tea.
- Tea has a higher median income of $99,153 compared to $74,414 in Bloomington.
- A higher percentage of married families is found in Tea at 39.0% compared to 37.0% in Bloomington.
- The poverty level is higher in Bloomington at 15%, compared to 6% in Tea.
- Bloomington has a higher unemployment rate at 7.5% compared to 2.5% in Tea.
Demographics
Demographics Tea vs Bloomington provide insight into the diversity of the communities to compare.
| Demographic | Tea | Bloomington |
|---|---|---|
| Black | 2 | 1 |
| White | 95 | -9 |
| Asian | 1 | 1 |
| Hispanic | Data is updating | 88 |
| Two or More Races | 2 | 18 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Tea vs Bloomington
- A higher percentage of Black residents are in Tea at 2% compared to 1% in Bloomington.
- Tea has a higher percentage of White residents at 95% compared to -9% in Bloomington.
- Both Tea and Bloomington have the same percentage of Asian residents at 1%.
- Bloomington has a higher percentage of Hispanic residents at 88%, compared to 0% in Tea.
- The percentage of residents identifying as two or more races is higher in Bloomington at 18%, compared to 2% in Tea.
- In Bloomington, the percentage of American Indian residents is higher at 1%, compared to 0% in Tea.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tea | Bloomington |
|---|---|---|
| Mental Health Not Good | 11.3% | 17.4% |
| Physical Health Not Good | 7.7% | 14.7% |
| Depression | 16.6% | 18.2% |
| Smoking | 12.6% | 14.4% |
| Binge Drinking | 21.6% | 14.9% |
| Obesity | 34.5% | 41.1% |
| Disability Percentage | 4.0% | 10.0% |
Health Statistics Comparison: Tea vs Bloomington
- In Bloomington, a higher percentage report poor mental health at 17.4% compared to 11.3% in Tea.
- Higher depression rates are seen in Bloomington at 18.2% versus 16.6% in Tea.
- Bloomington has a higher smoking rate at 14.4% compared to 12.6% in Tea.
- Binge drinking is more common in Tea at 21.6% compared to 14.9% in Bloomington.
- Bloomington has higher obesity rates at 41.1% compared to 34.5% in Tea.
- There is a higher percentage of disabled individuals in Bloomington at 10.0% 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 | Tea | Bloomington |
|---|---|---|
| No Schooling | 0.1% (10) | 3.9% (906) |
| High School Diploma | 7.8% (537) | 15.7% (3,618) |
| Less than High School | 1.6% (108) | 48.5% (11,184) |
| Bachelor's Degree and Higher | 19.9% (1,378) | 5.9% (1,351) |
Education Levels Comparison: Tea vs Bloomington
- In Bloomington, a larger percentage of residents lack formal schooling at 3.9% compared to 0.1% in Tea.
- In Bloomington, the rate of residents with high school diplomas is higher at 15.7% compared to 7.8% in Tea.
- The percentage of residents with less than a high school education is higher in Bloomington at 48.5%, compared to 1.6% in Tea.
- A higher percentage of residents in Tea hold a bachelor's degree or higher at 19.9% compared to 5.9% in Bloomington.
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.