Demographics details for Baltimore, MD vs Maywood, NE
Population Overview
Compare main population characteristics in Baltimore, MD vs Maywood, NE.
| Data | Baltimore | Maywood |
|---|---|---|
| Population | 569,931 | 275 |
| Median Age | 36.0 years | 41.6 years |
| Median Income | $58,349 | $45,250 |
| Married Families | 23.0% | 37.0% |
| Poverty Level | 16% | 12% |
| Unemployment Rate | 4.3 | 3.5 |
Population Comparison: Baltimore vs Maywood
- In Baltimore, the population is higher at 569,931, compared to 275 in Maywood.
- The median age in Maywood is higher at 41.6 years, compared to 36.0 years in Baltimore.
- Baltimore has a higher median income of $58,349 compared to $45,250 in Maywood.
- In Maywood, the percentage of married families is higher at 37.0%, compared to 23.0% in Baltimore.
- Baltimore has a higher poverty level at 16% compared to 12% in Maywood.
- The unemployment rate in Baltimore is higher at 4.3%, compared to 3.5% in Maywood.
Demographics
Demographics Baltimore vs Maywood provide insight into the diversity of the communities to compare.
| Demographic | Baltimore | Maywood |
|---|---|---|
| Black | 63 | 1 |
| White | 23 | 86 |
| Asian | 3 | Data is updating |
| Hispanic | 6 | 6 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Baltimore vs Maywood
- A higher percentage of Black residents are in Baltimore at 63% compared to 1% in Maywood.
- The percentage of White residents is higher in Maywood at 86% compared to 23% in Baltimore.
- The Asian population is larger in Baltimore at 3% compared to 0% in Maywood.
- The percentage of Hispanic residents is the same in both Baltimore and Maywood at 6%.
- The percentage of residents identifying as two or more races is higher in Maywood at 7%, compared to 5% in Baltimore.
- The percentage of American Indian residents is the same in both Baltimore and Maywood at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Baltimore | Maywood |
|---|---|---|
| Mental Health Not Good | 17.9% | 13.6% |
| Physical Health Not Good | 12.3% | 9.3% |
| Depression | 20.2% | 17.2% |
| Smoking | 19.8% | 15.7% |
| Binge Drinking | 15.4% | 20.6% |
| Obesity | 37.1% | 38.3% |
| Disability Percentage | 16.0% | 22.0% |
Health Statistics Comparison: Baltimore vs Maywood
- More residents in Baltimore report poor mental health at 17.9% compared to 13.6% in Maywood.
- Depression is more prevalent in Baltimore at 20.2% compared to 17.2% in Maywood.
- Smoking is more prevalent in Baltimore at 19.8% compared to 15.7% in Maywood.
- More residents engage in binge drinking in Maywood at 20.6% compared to 15.4% in Baltimore.
- Maywood has higher obesity rates at 38.3% compared to 37.1% in Baltimore.
- There is a higher percentage of disabled individuals in Maywood at 22.0% 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 | Maywood |
|---|---|---|
| No Schooling | 1.2% (6,683) | 0.0% (Data is updating) |
| High School Diploma | 16.8% (95,744) | 20.7% (57) |
| Less than High School | 11.9% (67,970) | 14.5% (40) |
| Bachelor's Degree and Higher | 25.1% (143,174) | 10.2% (28) |
Education Levels Comparison: Baltimore vs Maywood
- A higher percentage of residents in Baltimore have no formal schooling at 1.2% compared to 0.0% in Maywood.
- In Maywood, the rate of residents with high school diplomas is higher at 20.7% compared to 16.8% in Baltimore.
- The percentage of residents with less than a high school education is higher in Maywood at 14.5%, 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 10.2% in Maywood.
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.