Demographics details for Randallstown, MD vs Billings, MT
Population Overview
Compare main population characteristics in Randallstown, MD vs Billings, MT.
Data | Randallstown | Billings |
---|---|---|
Population | 36,223 | 119,960 |
Median Age | 46.1 years | 37.7 years |
Median Income | $89,484 | $69,692 |
Married Families | 35.0% | 37.0% |
Poverty Level | 5% | 10% |
Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Randallstown vs Billings
- The population in Billings is higher at 119,960, compared to 36,223 in Randallstown.
- Residents in Randallstown have a higher median age of 46.1 years compared to 37.7 years in Billings.
- Randallstown has a higher median income of $89,484 compared to $69,692 in Billings.
- In Billings, the percentage of married families is higher at 37.0%, compared to 35.0% in Randallstown.
- The poverty level is higher in Billings at 10%, compared to 5% in Randallstown.
- The unemployment rate in Randallstown is higher at 4.5%, compared to 3.5% in Billings.
Demographics
Demographics Randallstown vs Billings provide insight into the diversity of the communities to compare.
Demographic | Randallstown | Billings |
---|---|---|
Black | 79 | 1 |
White | 12 | 82 |
Asian | 2 | 1 |
Hispanic | 4 | 7 |
Two or More Races | 3 | 5 |
American Indian | Data is updating | 4 |
Demographics Comparison: Randallstown vs Billings
- A higher percentage of Black residents are in Randallstown at 79% compared to 1% in Billings.
- The percentage of White residents is higher in Billings at 82% compared to 12% in Randallstown.
- The Asian population is larger in Randallstown at 2% compared to 1% in Billings.
- Billings has a higher percentage of Hispanic residents at 7%, compared to 4% in Randallstown.
- The percentage of residents identifying as two or more races is higher in Billings at 5%, compared to 3% in Randallstown.
- In Billings, the percentage of American Indian residents is higher at 4%, compared to 0% in Randallstown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Randallstown | Billings |
---|---|---|
Mental Health Not Good | 15.5% | 16.6% |
Physical Health Not Good | 9.2% | 11.1% |
Depression | 18.3% | 27.8% |
Smoking | 12.8% | 16.1% |
Binge Drinking | 13.0% | 22.9% |
Obesity | 42.5% | 32.9% |
Disability Percentage | 12.0% | 13.0% |
Health Statistics Comparison: Randallstown vs Billings
- In Billings, a higher percentage report poor mental health at 16.6% compared to 15.5% in Randallstown.
- Higher depression rates are seen in Billings at 27.8% versus 18.3% in Randallstown.
- Billings has a higher smoking rate at 16.1% compared to 12.8% in Randallstown.
- More residents engage in binge drinking in Billings at 22.9% compared to 13.0% in Randallstown.
- Obesity rates are higher in Randallstown at 42.5% compared to 32.9% in Billings.
- There is a higher percentage of disabled individuals in Billings at 13.0% compared to 12.0% in Randallstown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Randallstown | Billings |
---|---|---|
No Schooling | 1.3% (460) | 0.3% (321) |
High School Diploma | 14.8% (5,352) | 14.7% (17,691) |
Less than High School | 7.6% (2,735) | 5.4% (6,502) |
Bachelor's Degree and Higher | 27.7% (10,041) | 24.8% (29,705) |
Education Levels Comparison: Randallstown vs Billings
- A higher percentage of residents in Randallstown have no formal schooling at 1.3% compared to 0.3% in Billings.
- A higher percentage of residents in Randallstown hold a high school diploma at 14.8% compared to 14.7% in Billings.
- More residents in Randallstown have less than a high school education at 7.6% compared to 5.4% in Billings.
- A higher percentage of residents in Randallstown hold a bachelor's degree or higher at 27.7% compared to 24.8% in Billings.
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.