Demographics details for North baltimore, OH vs Dekalb, IL
Population Overview
Compare main population characteristics in North baltimore, OH vs Dekalb, IL.
Data | North baltimore | Dekalb |
---|---|---|
Population | 3,383 | 40,220 |
Median Age | 37.4 years | 24.9 years |
Median Income | $55,379 | $47,410 |
Married Families | 31.0% | 25.0% |
Poverty Level | 8% | 13% |
Unemployment Rate | 4.1 | 6.3 |
Population Comparison: North baltimore vs Dekalb
- The population in Dekalb is higher at 40,220, compared to 3,383 in North baltimore.
- Residents in North baltimore have a higher median age of 37.4 years compared to 24.9 years in Dekalb.
- North baltimore has a higher median income of $55,379 compared to $47,410 in Dekalb.
- A higher percentage of married families is found in North baltimore at 31.0% compared to 25.0% in Dekalb.
- The poverty level is higher in Dekalb at 13%, compared to 8% in North baltimore.
- Dekalb has a higher unemployment rate at 6.3% compared to 4.1% in North baltimore.
Demographics
Demographics North baltimore vs Dekalb provide insight into the diversity of the communities to compare.
Demographic | North baltimore | Dekalb |
---|---|---|
Black | 4 | 15 |
White | 89 | 54 |
Asian | Data is updating | 5 |
Hispanic | 5 | 16 |
Two or More Races | 2 | 9 |
American Indian | Data is updating | 1 |
Demographics Comparison: North baltimore vs Dekalb
- In Dekalb, the percentage of Black residents is higher at 15% compared to 4% in North baltimore.
- North baltimore has a higher percentage of White residents at 89% compared to 54% in Dekalb.
- In Dekalb, the Asian population stands at 5%, greater than 0% in North baltimore.
- Dekalb has a higher percentage of Hispanic residents at 16%, compared to 5% in North baltimore.
- The percentage of residents identifying as two or more races is higher in Dekalb at 9%, compared to 2% in North baltimore.
- In Dekalb, the percentage of American Indian residents is higher at 1%, compared to 0% in North baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | North baltimore | Dekalb |
---|---|---|
Mental Health Not Good | 18.7% | 16.6% |
Physical Health Not Good | 12.5% | 11.4% |
Depression | 26.1% | 21.2% |
Smoking | 21.8% | 16.6% |
Binge Drinking | 17.7% | 16.5% |
Obesity | 42.6% | 39.0% |
Disability Percentage | 18.0% | 10.0% |
Health Statistics Comparison: North baltimore vs Dekalb
- More residents in North baltimore report poor mental health at 18.7% compared to 16.6% in Dekalb.
- Depression is more prevalent in North baltimore at 26.1% compared to 21.2% in Dekalb.
- Smoking is more prevalent in North baltimore at 21.8% compared to 16.6% in Dekalb.
- Binge drinking is more common in North baltimore at 17.7% compared to 16.5% in Dekalb.
- Obesity rates are higher in North baltimore at 42.6% compared to 39.0% in Dekalb.
- Disability percentages are higher in North baltimore at 18.0% compared to 10.0% in Dekalb.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | North baltimore | Dekalb |
---|---|---|
No Schooling | 1.9% (63) | 1.3% (531) |
High School Diploma | 28.7% (971) | 9.4% (3,786) |
Less than High School | 15.8% (533) | 8.3% (3,334) |
Bachelor's Degree and Higher | 7.5% (254) | 19.5% (7,828) |
Education Levels Comparison: North baltimore vs Dekalb
- A higher percentage of residents in North baltimore have no formal schooling at 1.9% compared to 1.3% in Dekalb.
- A higher percentage of residents in North baltimore hold a high school diploma at 28.7% compared to 9.4% in Dekalb.
- More residents in North baltimore have less than a high school education at 15.8% compared to 8.3% in Dekalb.
- In Dekalb, a larger share of residents have a bachelor's degree or higher at 19.5% compared to 7.5% in North baltimore.
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.