Demographics details for Wilton, CA vs Baltimore, MD
Population Overview
Compare main population characteristics in Wilton, CA vs Baltimore, MD.
| Data | Wilton | Baltimore |
|---|---|---|
| Population | 6,663 | 569,931 |
| Median Age | 49.7 years | 36.0 years |
| Median Income | $176,875 | $58,349 |
| Married Families | 43.0% | 23.0% |
| Poverty Level | Data is updating | 16% |
| Unemployment Rate | 3.5 | 4.3 |
Population Comparison: Wilton vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 6,663 in Wilton.
- Residents in Wilton have a higher median age of 49.7 years compared to 36.0 years in Baltimore.
- Wilton has a higher median income of $176,875 compared to $58,349 in Baltimore.
- A higher percentage of married families is found in Wilton at 43.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 0% in Wilton.
- Baltimore has a higher unemployment rate at 4.3% compared to 3.5% in Wilton.
Demographics
Demographics Wilton vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Wilton | Baltimore |
|---|---|---|
| Black | 1 | 63 |
| White | 57 | 23 |
| Asian | 8 | 3 |
| Hispanic | 26 | 6 |
| Two or More Races | 8 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wilton vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 1% in Wilton.
- Wilton has a higher percentage of White residents at 57% compared to 23% in Baltimore.
- The Asian population is larger in Wilton at 8% compared to 3% in Baltimore.
- The Hispanic community is larger in Wilton at 26% compared to 6% in Baltimore.
- More residents identify as two or more races in Wilton at 8% compared to 5% in Baltimore.
- The percentage of American Indian residents is the same in both Wilton and Baltimore at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wilton | Baltimore |
|---|---|---|
| Mental Health Not Good | 16.8% | 17.9% |
| Physical Health Not Good | 10.6% | 12.3% |
| Depression | 20.7% | 20.2% |
| Smoking | 13.0% | 19.8% |
| Binge Drinking | 17.4% | 15.4% |
| Obesity | 31.7% | 37.1% |
| Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: Wilton vs Baltimore
- In Baltimore, a higher percentage report poor mental health at 17.9% compared to 16.8% in Wilton.
- Depression is more prevalent in Wilton at 20.7% compared to 20.2% in Baltimore.
- Baltimore has a higher smoking rate at 19.8% compared to 13.0% in Wilton.
- Binge drinking is more common in Wilton at 17.4% compared to 15.4% in Baltimore.
- Baltimore has higher obesity rates at 37.1% compared to 31.7% in Wilton.
- There is a higher percentage of disabled individuals in Baltimore at 16.0% compared to 11.0% in Wilton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wilton | Baltimore |
|---|---|---|
| No Schooling | 0.6% (40) | 1.2% (6,683) |
| High School Diploma | 20.4% (1,357) | 16.8% (95,744) |
| Less than High School | 4.4% (294) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 24.6% (1,636) | 25.1% (143,174) |
Education Levels Comparison: Wilton vs Baltimore
- In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 0.6% in Wilton.
- A higher percentage of residents in Wilton hold a high school diploma at 20.4% compared to 16.8% in Baltimore.
- The percentage of residents with less than a high school education is higher in Baltimore at 11.9%, compared to 4.4% in Wilton.
- In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 24.6% in Wilton.
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.