Demographics details for Ainsworth, NE vs Baltimore, MD
Population Overview
Compare main population characteristics in Ainsworth, NE vs Baltimore, MD.
| Data | Ainsworth | Baltimore |
|---|---|---|
| Population | 1,599 | 569,931 |
| Median Age | 51.0 years | 36.0 years |
| Median Income | $47,576 | $58,349 |
| Married Families | 43.0% | 23.0% |
| Poverty Level | 10% | 16% |
| Unemployment Rate | 2.4 | 4.3 |
Population Comparison: Ainsworth vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 1,599 in Ainsworth.
- Residents in Ainsworth have a higher median age of 51.0 years compared to 36.0 years in Baltimore.
- Baltimore has a higher median income of $58,349, compared to $47,576 in Ainsworth.
- A higher percentage of married families is found in Ainsworth at 43.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 10% in Ainsworth.
- Baltimore has a higher unemployment rate at 4.3% compared to 2.4% in Ainsworth.
Demographics
Demographics Ainsworth vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Ainsworth | Baltimore |
|---|---|---|
| Black | Data is updating | 63 |
| White | 90 | 23 |
| Asian | Data is updating | 3 |
| Hispanic | 6 | 6 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ainsworth vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 0% in Ainsworth.
- Ainsworth has a higher percentage of White residents at 90% compared to 23% in Baltimore.
- In Baltimore, the Asian population stands at 3%, greater than 0% in Ainsworth.
- The percentage of Hispanic residents is the same in both Ainsworth and Baltimore at 6%.
- The percentage of residents identifying as two or more races is higher in Baltimore at 5%, compared to 4% in Ainsworth.
- The percentage of American Indian residents is the same in both Ainsworth and Baltimore at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ainsworth | Baltimore |
|---|---|---|
| Mental Health Not Good | 14.6% | 17.9% |
| Physical Health Not Good | 10.3% | 12.3% |
| Depression | 18.3% | 20.2% |
| Smoking | 18.3% | 19.8% |
| Binge Drinking | 20.4% | 15.4% |
| Obesity | 40.1% | 37.1% |
| Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Ainsworth vs Baltimore
- In Baltimore, a higher percentage report poor mental health at 17.9% compared to 14.6% in Ainsworth.
- Higher depression rates are seen in Baltimore at 20.2% versus 18.3% in Ainsworth.
- Baltimore has a higher smoking rate at 19.8% compared to 18.3% in Ainsworth.
- Binge drinking is more common in Ainsworth at 20.4% compared to 15.4% in Baltimore.
- Obesity rates are higher in Ainsworth at 40.1% compared to 37.1% in Baltimore.
- There is a higher percentage of disabled individuals in Baltimore at 16.0% compared to 13.0% in Ainsworth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ainsworth | Baltimore |
|---|---|---|
| No Schooling | 0.6% (9) | 1.2% (6,683) |
| High School Diploma | 20.8% (332) | 16.8% (95,744) |
| Less than High School | 13.5% (216) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 16.3% (260) | 25.1% (143,174) |
Education Levels Comparison: Ainsworth vs Baltimore
- In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 0.6% in Ainsworth.
- A higher percentage of residents in Ainsworth hold a high school diploma at 20.8% compared to 16.8% in Baltimore.
- More residents in Ainsworth have less than a high school education at 13.5% 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 16.3% in Ainsworth.
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.