Demographics details for Edison, NE vs Baltimore, MD
Population Overview
Compare main population characteristics in Edison, NE vs Baltimore, MD.
| Data | Edison | Baltimore |
|---|---|---|
| Population | 111 | 569,931 |
| Median Age | 59.4 years | 36.0 years |
| Median Income | $57,976 | $58,349 |
| Married Families | 81.0% | 23.0% |
| Poverty Level | Data is updating | 16% |
| Unemployment Rate | 2.5 | 4.3 |
Population Comparison: Edison vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 111 in Edison.
- Residents in Edison have a higher median age of 59.4 years compared to 36.0 years in Baltimore.
- Baltimore has a higher median income of $58,349, compared to $57,976 in Edison.
- A higher percentage of married families is found in Edison at 81.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 0% in Edison.
- Baltimore has a higher unemployment rate at 4.3% compared to 2.5% in Edison.
Demographics
Demographics Edison vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Edison | Baltimore |
|---|---|---|
| Black | Data is updating | 63 |
| White | 98 | 23 |
| Asian | Data is updating | 3 |
| Hispanic | 2 | 6 |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Edison vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 0% in Edison.
- Edison has a higher percentage of White residents at 98% compared to 23% in Baltimore.
- In Baltimore, the Asian population stands at 3%, greater than 0% in Edison.
- Baltimore has a higher percentage of Hispanic residents at 6%, compared to 2% in Edison.
- The percentage of residents identifying as two or more races is higher in Baltimore at 5%, compared to 0% in Edison.
- The percentage of American Indian residents is the same in both Edison and Baltimore at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Edison | Baltimore |
|---|---|---|
| Mental Health Not Good | 14.5% | 17.9% |
| Physical Health Not Good | 10.7% | 12.3% |
| Depression | 17.3% | 20.2% |
| Smoking | 19.4% | 19.8% |
| Binge Drinking | 21.7% | 15.4% |
| Obesity | 42.2% | 37.1% |
| Disability Percentage | 48.0% | 16.0% |
Health Statistics Comparison: Edison vs Baltimore
- In Baltimore, a higher percentage report poor mental health at 17.9% compared to 14.5% in Edison.
- Higher depression rates are seen in Baltimore at 20.2% versus 17.3% in Edison.
- Baltimore has a higher smoking rate at 19.8% compared to 19.4% in Edison.
- Binge drinking is more common in Edison at 21.7% compared to 15.4% in Baltimore.
- Obesity rates are higher in Edison at 42.2% compared to 37.1% in Baltimore.
- Disability percentages are higher in Edison at 48.0% 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 | Edison | Baltimore |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.2% (6,683) |
| High School Diploma | 42.3% (47) | 16.8% (95,744) |
| Less than High School | 27.0% (30) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 7.2% (8) | 25.1% (143,174) |
Education Levels Comparison: Edison vs Baltimore
- In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Edison.
- A higher percentage of residents in Edison hold a high school diploma at 42.3% compared to 16.8% in Baltimore.
- More residents in Edison have less than a high school education at 27.0% compared to 11.9% in Baltimore.
- In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 7.2% in Edison.
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.