Demographics details for Colbert, OK vs Baltimore, MD
Population Overview
Compare main population characteristics in Colbert, OK vs Baltimore, MD.
| Data | Colbert | Baltimore |
|---|---|---|
| Population | 1,074 | 569,931 |
| Median Age | 43.9 years | 36.0 years |
| Median Income | $53,600 | $58,349 |
| Married Families | 44.0% | 23.0% |
| Poverty Level | 15% | 16% |
| Unemployment Rate | 3.5 | 4.3 |
Population Comparison: Colbert vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 1,074 in Colbert.
- Residents in Colbert have a higher median age of 43.9 years compared to 36.0 years in Baltimore.
- Baltimore has a higher median income of $58,349, compared to $53,600 in Colbert.
- A higher percentage of married families is found in Colbert at 44.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 15% in Colbert.
- Baltimore has a higher unemployment rate at 4.3% compared to 3.5% in Colbert.
Demographics
Demographics Colbert vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Colbert | Baltimore |
|---|---|---|
| Black | 12 | 63 |
| White | 66 | 23 |
| Asian | Data is updating | 3 |
| Hispanic | 4 | 6 |
| Two or More Races | 8 | 5 |
| American Indian | 10 | Data is updating |
Demographics Comparison: Colbert vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 12% in Colbert.
- Colbert has a higher percentage of White residents at 66% compared to 23% in Baltimore.
- In Baltimore, the Asian population stands at 3%, greater than 0% in Colbert.
- Baltimore has a higher percentage of Hispanic residents at 6%, compared to 4% in Colbert.
- More residents identify as two or more races in Colbert at 8% compared to 5% in Baltimore.
- A greater percentage of American Indian residents live in Colbert at 10% compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Colbert | Baltimore |
|---|---|---|
| Mental Health Not Good | 19.1% | 17.9% |
| Physical Health Not Good | 13.7% | 12.3% |
| Depression | 25.5% | 20.2% |
| Smoking | 21.6% | 19.8% |
| Binge Drinking | 14.3% | 15.4% |
| Obesity | 43.2% | 37.1% |
| Disability Percentage | 26.0% | 16.0% |
Health Statistics Comparison: Colbert vs Baltimore
- More residents in Colbert report poor mental health at 19.1% compared to 17.9% in Baltimore.
- Depression is more prevalent in Colbert at 25.5% compared to 20.2% in Baltimore.
- Smoking is more prevalent in Colbert at 21.6% compared to 19.8% in Baltimore.
- More residents engage in binge drinking in Baltimore at 15.4% compared to 14.3% in Colbert.
- Obesity rates are higher in Colbert at 43.2% compared to 37.1% in Baltimore.
- Disability percentages are higher in Colbert at 26.0% 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 | Colbert | Baltimore |
|---|---|---|
| No Schooling | 0.5% (5) | 1.2% (6,683) |
| High School Diploma | 33.7% (362) | 16.8% (95,744) |
| Less than High School | 31.4% (337) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 16.8% (180) | 25.1% (143,174) |
Education Levels Comparison: Colbert vs Baltimore
- In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 0.5% in Colbert.
- A higher percentage of residents in Colbert hold a high school diploma at 33.7% compared to 16.8% in Baltimore.
- More residents in Colbert have less than a high school education at 31.4% 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 16.8% in Colbert.
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.