Demographics details for Billings, MT vs Federalsburg, MD
Population Overview
Compare main population characteristics in Billings, MT vs Federalsburg, MD.
Data | Billings | Federalsburg |
---|---|---|
Population | 119,960 | 2,806 |
Median Age | 37.7 years | 36.4 years |
Median Income | $69,692 | $33,511 |
Married Families | 37.0% | 32.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Billings vs Federalsburg
- In Billings, the population is higher at 119,960, compared to 2,806 in Federalsburg.
- Residents in Billings have a higher median age of 37.7 years compared to 36.4 years in Federalsburg.
- Billings has a higher median income of $69,692 compared to $33,511 in Federalsburg.
- A higher percentage of married families is found in Billings at 37.0% compared to 32.0% in Federalsburg.
- The poverty level is identical in both Billings and Federalsburg at 10%.
- Federalsburg has a higher unemployment rate at 4.5% compared to 3.5% in Billings.
Demographics
Demographics Billings vs Federalsburg provide insight into the diversity of the communities to compare.
Demographic | Billings | Federalsburg |
---|---|---|
Black | 1 | 47 |
White | 82 | 38 |
Asian | 1 | Data is updating |
Hispanic | 7 | 4 |
Two or More Races | 5 | 10 |
American Indian | 4 | 1 |
Demographics Comparison: Billings vs Federalsburg
- In Federalsburg, the percentage of Black residents is higher at 47% compared to 1% in Billings.
- Billings has a higher percentage of White residents at 82% compared to 38% in Federalsburg.
- The Asian population is larger in Billings at 1% compared to 0% in Federalsburg.
- The Hispanic community is larger in Billings at 7% compared to 4% in Federalsburg.
- The percentage of residents identifying as two or more races is higher in Federalsburg at 10%, compared to 5% in Billings.
- A greater percentage of American Indian residents live in Billings at 4% compared to 1% in Federalsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Billings | Federalsburg |
---|---|---|
Mental Health Not Good | 16.6% | 20.7% |
Physical Health Not Good | 11.1% | 13.9% |
Depression | 27.8% | 23.0% |
Smoking | 16.1% | 22.8% |
Binge Drinking | 22.9% | 12.8% |
Obesity | 32.9% | 47.3% |
Disability Percentage | 13.0% | 24.0% |
Health Statistics Comparison: Billings vs Federalsburg
- In Federalsburg, a higher percentage report poor mental health at 20.7% compared to 16.6% in Billings.
- Depression is more prevalent in Billings at 27.8% compared to 23.0% in Federalsburg.
- Federalsburg has a higher smoking rate at 22.8% compared to 16.1% in Billings.
- Binge drinking is more common in Billings at 22.9% compared to 12.8% in Federalsburg.
- Federalsburg has higher obesity rates at 47.3% compared to 32.9% in Billings.
- There is a higher percentage of disabled individuals in Federalsburg at 24.0% compared to 13.0% in Billings.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Billings | Federalsburg |
---|---|---|
No Schooling | 0.3% (321) | 1.5% (41) |
High School Diploma | 14.7% (17,691) | 24.5% (687) |
Less than High School | 5.4% (6,502) | 22.2% (624) |
Bachelor's Degree and Higher | 24.8% (29,705) | 4.7% (131) |
Education Levels Comparison: Billings vs Federalsburg
- In Federalsburg, a larger percentage of residents lack formal schooling at 1.5% compared to 0.3% in Billings.
- In Federalsburg, the rate of residents with high school diplomas is higher at 24.5% compared to 14.7% in Billings.
- The percentage of residents with less than a high school education is higher in Federalsburg at 22.2%, compared to 5.4% in Billings.
- A higher percentage of residents in Billings hold a bachelor's degree or higher at 24.8% compared to 4.7% in Federalsburg.
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.