Demographics details for Billings, MT vs Fairfield bay, AR
Population Overview
Compare main population characteristics in Billings, MT vs Fairfield bay, AR.
Data | Billings | Fairfield bay |
---|---|---|
Population | 119,960 | 2,152 |
Median Age | 37.7 years | 68.2 years |
Median Income | $69,692 | $58,750 |
Married Families | 37.0% | 48.0% |
Poverty Level | 10% | Data is updating |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Billings vs Fairfield bay
- In Billings, the population is higher at 119,960, compared to 2,152 in Fairfield bay.
- The median age in Fairfield bay is higher at 68.2 years, compared to 37.7 years in Billings.
- Billings has a higher median income of $69,692 compared to $58,750 in Fairfield bay.
- In Fairfield bay, the percentage of married families is higher at 48.0%, compared to 37.0% in Billings.
- Billings has a higher poverty level at 10% compared to 0% in Fairfield bay.
- The unemployment rate is the same in both Billings and Fairfield bay at 3.5%.
Demographics
Demographics Billings vs Fairfield bay provide insight into the diversity of the communities to compare.
Demographic | Billings | Fairfield bay |
---|---|---|
Black | 1 | 1 |
White | 82 | 86 |
Asian | 1 | 1 |
Hispanic | 7 | 7 |
Two or More Races | 5 | 5 |
American Indian | 4 | Data is updating |
Demographics Comparison: Billings vs Fairfield bay
- The percentage of Black residents is the same in both Billings and Fairfield bay at 1%.
- The percentage of White residents is higher in Fairfield bay at 86% compared to 82% in Billings.
- Both Billings and Fairfield bay have the same percentage of Asian residents at 1%.
- The percentage of Hispanic residents is the same in both Billings and Fairfield bay at 7%.
- Both Billings and Fairfield bay have the same percentage of residents identifying as two or more races at 5%.
- A greater percentage of American Indian residents live in Billings at 4% compared to 0% in Fairfield bay.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Billings | Fairfield bay |
---|---|---|
Mental Health Not Good | 16.6% | 19.1% |
Physical Health Not Good | 11.1% | 12.7% |
Depression | 27.8% | 27.1% |
Smoking | 16.1% | 20.2% |
Binge Drinking | 22.9% | 15.7% |
Obesity | 32.9% | 37.3% |
Disability Percentage | 13.0% | 32.0% |
Health Statistics Comparison: Billings vs Fairfield bay
- In Fairfield bay, a higher percentage report poor mental health at 19.1% compared to 16.6% in Billings.
- Depression is more prevalent in Billings at 27.8% compared to 27.1% in Fairfield bay.
- Fairfield bay has a higher smoking rate at 20.2% compared to 16.1% in Billings.
- Binge drinking is more common in Billings at 22.9% compared to 15.7% in Fairfield bay.
- Fairfield bay has higher obesity rates at 37.3% compared to 32.9% in Billings.
- There is a higher percentage of disabled individuals in Fairfield bay at 32.0% 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 | Fairfield bay |
---|---|---|
No Schooling | 0.3% (321) | 0.2% (5) |
High School Diploma | 14.7% (17,691) | 24.6% (529) |
Less than High School | 5.4% (6,502) | 7.0% (151) |
Bachelor's Degree and Higher | 24.8% (29,705) | 33.9% (729) |
Education Levels Comparison: Billings vs Fairfield bay
- A higher percentage of residents in Billings have no formal schooling at 0.3% compared to 0.2% in Fairfield bay.
- In Fairfield bay, the rate of residents with high school diplomas is higher at 24.6% compared to 14.7% in Billings.
- The percentage of residents with less than a high school education is higher in Fairfield bay at 7.0%, compared to 5.4% in Billings.
- In Fairfield bay, a larger share of residents have a bachelor's degree or higher at 33.9% 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.