Demographics details for Baltimore, MD vs Friendship, WI
Population Overview
Compare main population characteristics in Baltimore, MD vs Friendship, WI.
| Data | Baltimore | Friendship |
|---|---|---|
| Population | 569,931 | 681 |
| Median Age | 36.0 years | 50.3 years |
| Median Income | $58,349 | $45,208 |
| Married Families | 23.0% | 33.0% |
| Poverty Level | 16% | 12% |
| Unemployment Rate | 4.3 | 4.5 |
Population Comparison: Baltimore vs Friendship
- In Baltimore, the population is higher at 569,931, compared to 681 in Friendship.
- The median age in Friendship is higher at 50.3 years, compared to 36.0 years in Baltimore.
- Baltimore has a higher median income of $58,349 compared to $45,208 in Friendship.
- In Friendship, the percentage of married families is higher at 33.0%, compared to 23.0% in Baltimore.
- Baltimore has a higher poverty level at 16% compared to 12% in Friendship.
- Friendship has a higher unemployment rate at 4.5% compared to 4.3% in Baltimore.
Demographics
Demographics Baltimore vs Friendship provide insight into the diversity of the communities to compare.
| Demographic | Baltimore | Friendship |
|---|---|---|
| Black | 63 | 5 |
| White | 23 | 84 |
| Asian | 3 | Data is updating |
| Hispanic | 6 | 1 |
| Two or More Races | 5 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Baltimore vs Friendship
- A higher percentage of Black residents are in Baltimore at 63% compared to 5% in Friendship.
- The percentage of White residents is higher in Friendship at 84% compared to 23% in Baltimore.
- The Asian population is larger in Baltimore at 3% compared to 0% in Friendship.
- The Hispanic community is larger in Baltimore at 6% compared to 1% in Friendship.
- The percentage of residents identifying as two or more races is higher in Friendship at 9%, compared to 5% in Baltimore.
- In Friendship, the percentage of American Indian residents is higher at 1%, compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Baltimore | Friendship |
|---|---|---|
| Mental Health Not Good | 17.9% | 17.1% |
| Physical Health Not Good | 12.3% | 12.4% |
| Depression | 20.2% | 24.3% |
| Smoking | 19.8% | 21.6% |
| Binge Drinking | 15.4% | 23.9% |
| Obesity | 37.1% | 39.3% |
| Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Baltimore vs Friendship
- More residents in Baltimore report poor mental health at 17.9% compared to 17.1% in Friendship.
- Higher depression rates are seen in Friendship at 24.3% versus 20.2% in Baltimore.
- Friendship has a higher smoking rate at 21.6% compared to 19.8% in Baltimore.
- More residents engage in binge drinking in Friendship at 23.9% compared to 15.4% in Baltimore.
- Friendship has higher obesity rates at 39.3% compared to 37.1% in Baltimore.
- Disability percentages are higher in Baltimore at 16.0% compared to 13.0% in Friendship.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Baltimore | Friendship |
|---|---|---|
| No Schooling | 1.2% (6,683) | 0.4% (3) |
| High School Diploma | 16.8% (95,744) | 26.9% (183) |
| Less than High School | 11.9% (67,970) | 26.0% (177) |
| Bachelor's Degree and Higher | 25.1% (143,174) | 3.2% (22) |
Education Levels Comparison: Baltimore vs Friendship
- A higher percentage of residents in Baltimore have no formal schooling at 1.2% compared to 0.4% in Friendship.
- In Friendship, the rate of residents with high school diplomas is higher at 26.9% compared to 16.8% in Baltimore.
- The percentage of residents with less than a high school education is higher in Friendship at 26.0%, compared to 11.9% in Baltimore.
- A higher percentage of residents in Baltimore hold a bachelor's degree or higher at 25.1% compared to 3.2% in Friendship.
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.