Demographics details for Baltimore, MD vs Wabash, IN
Population Overview
Compare main population characteristics in Baltimore, MD vs Wabash, IN.
| Data | Baltimore | Wabash |
|---|---|---|
| Population | 569,931 | 10,347 |
| Median Age | 36.0 years | 41.0 years |
| Median Income | $58,349 | $51,127 |
| Married Families | 23.0% | 39.0% |
| Poverty Level | 16% | 11% |
| Unemployment Rate | 4.3 | 3.5 |
Population Comparison: Baltimore vs Wabash
- In Baltimore, the population is higher at 569,931, compared to 10,347 in Wabash.
- The median age in Wabash is higher at 41.0 years, compared to 36.0 years in Baltimore.
- Baltimore has a higher median income of $58,349 compared to $51,127 in Wabash.
- In Wabash, the percentage of married families is higher at 39.0%, compared to 23.0% in Baltimore.
- Baltimore has a higher poverty level at 16% compared to 11% in Wabash.
- The unemployment rate in Baltimore is higher at 4.3%, compared to 3.5% in Wabash.
Demographics
Demographics Baltimore vs Wabash provide insight into the diversity of the communities to compare.
| Demographic | Baltimore | Wabash |
|---|---|---|
| Black | 63 | Data is updating |
| White | 23 | 94 |
| Asian | 3 | Data is updating |
| Hispanic | 6 | 4 |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Baltimore vs Wabash
- A higher percentage of Black residents are in Baltimore at 63% compared to 0% in Wabash.
- The percentage of White residents is higher in Wabash at 94% compared to 23% in Baltimore.
- The Asian population is larger in Baltimore at 3% compared to 0% in Wabash.
- The Hispanic community is larger in Baltimore at 6% compared to 4% in Wabash.
- More residents identify as two or more races in Baltimore at 5% compared to 2% in Wabash.
- The percentage of American Indian residents is the same in both Baltimore and Wabash at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Baltimore | Wabash |
|---|---|---|
| Mental Health Not Good | 17.9% | 18.4% |
| Physical Health Not Good | 12.3% | 12.7% |
| Depression | 20.2% | 27.2% |
| Smoking | 19.8% | 22.5% |
| Binge Drinking | 15.4% | 16.7% |
| Obesity | 37.1% | 40.4% |
| Disability Percentage | 16.0% | 19.0% |
Health Statistics Comparison: Baltimore vs Wabash
- In Wabash, a higher percentage report poor mental health at 18.4% compared to 17.9% in Baltimore.
- Higher depression rates are seen in Wabash at 27.2% versus 20.2% in Baltimore.
- Wabash has a higher smoking rate at 22.5% compared to 19.8% in Baltimore.
- More residents engage in binge drinking in Wabash at 16.7% compared to 15.4% in Baltimore.
- Wabash has higher obesity rates at 40.4% compared to 37.1% in Baltimore.
- There is a higher percentage of disabled individuals in Wabash at 19.0% compared to 16.0% in Baltimore.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Baltimore | Wabash |
|---|---|---|
| No Schooling | 1.2% (6,683) | 0.9% (95) |
| High School Diploma | 16.8% (95,744) | 25.5% (2,642) |
| Less than High School | 11.9% (67,970) | 14.2% (1,468) |
| Bachelor's Degree and Higher | 25.1% (143,174) | 15.6% (1,618) |
Education Levels Comparison: Baltimore vs Wabash
- A higher percentage of residents in Baltimore have no formal schooling at 1.2% compared to 0.9% in Wabash.
- In Wabash, the rate of residents with high school diplomas is higher at 25.5% compared to 16.8% in Baltimore.
- The percentage of residents with less than a high school education is higher in Wabash at 14.2%, 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 15.6% in Wabash.
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.