Demographics details for Baltimore, MD vs Turtle lake, ND
Population Overview
Compare main population characteristics in Baltimore, MD vs Turtle lake, ND.
| Data | Baltimore | Turtle lake |
|---|---|---|
| Population | 569,931 | 538 |
| Median Age | 36.0 years | 42.8 years |
| Median Income | $58,349 | $58,125 |
| Married Families | 23.0% | 39.0% |
| Poverty Level | 16% | 9% |
| Unemployment Rate | 4.3 | 3.2 |
Population Comparison: Baltimore vs Turtle lake
- In Baltimore, the population is higher at 569,931, compared to 538 in Turtle lake.
- The median age in Turtle lake is higher at 42.8 years, compared to 36.0 years in Baltimore.
- Baltimore has a higher median income of $58,349 compared to $58,125 in Turtle lake.
- In Turtle lake, the percentage of married families is higher at 39.0%, compared to 23.0% in Baltimore.
- Baltimore has a higher poverty level at 16% compared to 9% in Turtle lake.
- The unemployment rate in Baltimore is higher at 4.3%, compared to 3.2% in Turtle lake.
Demographics
Demographics Baltimore vs Turtle lake provide insight into the diversity of the communities to compare.
| Demographic | Baltimore | Turtle lake |
|---|---|---|
| Black | 63 | Data is updating |
| White | 23 | 94 |
| Asian | 3 | 2 |
| Hispanic | 6 | 2 |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Baltimore vs Turtle lake
- A higher percentage of Black residents are in Baltimore at 63% compared to 0% in Turtle lake.
- The percentage of White residents is higher in Turtle lake at 94% compared to 23% in Baltimore.
- The Asian population is larger in Baltimore at 3% compared to 2% in Turtle lake.
- The Hispanic community is larger in Baltimore at 6% compared to 2% in Turtle lake.
- More residents identify as two or more races in Baltimore at 5% compared to 2% in Turtle lake.
- The percentage of American Indian residents is the same in both Baltimore and Turtle lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Baltimore | Turtle lake |
|---|---|---|
| Mental Health Not Good | 17.9% | 13.9% |
| Physical Health Not Good | 12.3% | 10.0% |
| Depression | 20.2% | 18.5% |
| Smoking | 19.8% | 18.7% |
| Binge Drinking | 15.4% | 21.5% |
| Obesity | 37.1% | 41.7% |
| Disability Percentage | 16.0% | 15.0% |
Health Statistics Comparison: Baltimore vs Turtle lake
- More residents in Baltimore report poor mental health at 17.9% compared to 13.9% in Turtle lake.
- Depression is more prevalent in Baltimore at 20.2% compared to 18.5% in Turtle lake.
- Smoking is more prevalent in Baltimore at 19.8% compared to 18.7% in Turtle lake.
- More residents engage in binge drinking in Turtle lake at 21.5% compared to 15.4% in Baltimore.
- Turtle lake has higher obesity rates at 41.7% compared to 37.1% in Baltimore.
- Disability percentages are higher in Baltimore at 16.0% compared to 15.0% in Turtle lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Baltimore | Turtle lake |
|---|---|---|
| No Schooling | 1.2% (6,683) | 0.0% (Data is updating) |
| High School Diploma | 16.8% (95,744) | 16.9% (91) |
| Less than High School | 11.9% (67,970) | 5.8% (31) |
| Bachelor's Degree and Higher | 25.1% (143,174) | 15.6% (84) |
Education Levels Comparison: Baltimore vs Turtle lake
- A higher percentage of residents in Baltimore have no formal schooling at 1.2% compared to 0.0% in Turtle lake.
- In Turtle lake, the rate of residents with high school diplomas is higher at 16.9% compared to 16.8% in Baltimore.
- More residents in Baltimore have less than a high school education at 11.9% compared to 5.8% in Turtle lake.
- A higher percentage of residents in Baltimore hold a bachelor's degree or higher at 25.1% compared to 15.6% in Turtle lake.
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.