Demographics details for Malad city, ID vs Baltimore, MD
Population Overview
Compare main population characteristics in Malad city, ID vs Baltimore, MD.
Data | Malad city | Baltimore |
---|---|---|
Population | 2,273 | 569,931 |
Median Age | 39.8 years | 36.0 years |
Median Income | $68,594 | $58,349 |
Married Families | 47.0% | 23.0% |
Poverty Level | Data is updating | 16% |
Unemployment Rate | 3.6 | 4.3 |
Population Comparison: Malad city vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 2,273 in Malad city.
- Residents in Malad city have a higher median age of 39.8 years compared to 36.0 years in Baltimore.
- Malad city has a higher median income of $68,594 compared to $58,349 in Baltimore.
- A higher percentage of married families is found in Malad city at 47.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 0% in Malad city.
- Baltimore has a higher unemployment rate at 4.3% compared to 3.6% in Malad city.
Demographics
Demographics Malad city vs Baltimore provide insight into the diversity of the communities to compare.
Demographic | Malad city | Baltimore |
---|---|---|
Black | Data is updating | 63 |
White | 97 | 23 |
Asian | Data is updating | 3 |
Hispanic | 2 | 6 |
Two or More Races | Data is updating | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Malad city vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 0% in Malad city.
- Malad city has a higher percentage of White residents at 97% compared to 23% in Baltimore.
- In Baltimore, the Asian population stands at 3%, greater than 0% in Malad city.
- Baltimore has a higher percentage of Hispanic residents at 6%, compared to 2% in Malad city.
- The percentage of residents identifying as two or more races is higher in Baltimore at 5%, compared to 0% in Malad city.
- A greater percentage of American Indian residents live in Malad city at 1% compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Malad city | Baltimore |
---|---|---|
Mental Health Not Good | 16.3% | 17.9% |
Physical Health Not Good | 11.4% | 12.3% |
Depression | 22.9% | 20.2% |
Smoking | 16.7% | 19.8% |
Binge Drinking | 16.8% | 15.4% |
Obesity | 32.0% | 37.1% |
Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Malad city vs Baltimore
- In Baltimore, a higher percentage report poor mental health at 17.9% compared to 16.3% in Malad city.
- Depression is more prevalent in Malad city at 22.9% compared to 20.2% in Baltimore.
- Baltimore has a higher smoking rate at 19.8% compared to 16.7% in Malad city.
- Binge drinking is more common in Malad city at 16.8% compared to 15.4% in Baltimore.
- Baltimore has higher obesity rates at 37.1% compared to 32.0% in Malad city.
- There is a higher percentage of disabled individuals in Baltimore at 16.0% compared to 15.0% in Malad city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Malad city | Baltimore |
---|---|---|
No Schooling | 0.4% (9) | 1.2% (6,683) |
High School Diploma | 19.5% (443) | 16.8% (95,744) |
Less than High School | 8.6% (196) | 11.9% (67,970) |
Bachelor's Degree and Higher | 14.4% (327) | 25.1% (143,174) |
Education Levels Comparison: Malad city vs Baltimore
- In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 0.4% in Malad city.
- A higher percentage of residents in Malad city hold a high school diploma at 19.5% compared to 16.8% in Baltimore.
- The percentage of residents with less than a high school education is higher in Baltimore at 11.9%, compared to 8.6% in Malad city.
- In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 14.4% in Malad city.
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.