Demographics details for Fife lake, MI vs Anaconda, MT
Population Overview
Compare main population characteristics in Fife lake, MI vs Anaconda, MT.
Data | Fife lake | Anaconda |
---|---|---|
Population | 469 | 9,510 |
Median Age | 49.8 years | 49.6 years |
Median Income | $67,083 | $46,436 |
Married Families | 32.0% | 38.0% |
Poverty Level | 5% | 11% |
Unemployment Rate | 3.5 | 3.0 |
Population Comparison: Fife lake vs Anaconda
- The population in Anaconda is higher at 9,510, compared to 469 in Fife lake.
- Residents in Fife lake have a higher median age of 49.8 years compared to 49.6 years in Anaconda.
- Fife lake has a higher median income of $67,083 compared to $46,436 in Anaconda.
- In Anaconda, the percentage of married families is higher at 38.0%, compared to 32.0% in Fife lake.
- The poverty level is higher in Anaconda at 11%, compared to 5% in Fife lake.
- The unemployment rate in Fife lake is higher at 3.5%, compared to 3.0% in Anaconda.
Demographics
Demographics Fife lake vs Anaconda provide insight into the diversity of the communities to compare.
Demographic | Fife lake | Anaconda |
---|---|---|
Black | Data is updating | 1 |
White | 96 | 87 |
Asian | 1 | Data is updating |
Hispanic | 1 | 4 |
Two or More Races | 1 | 6 |
American Indian | 1 | 2 |
Demographics Comparison: Fife lake vs Anaconda
- In Anaconda, the percentage of Black residents is higher at 1% compared to 0% in Fife lake.
- Fife lake has a higher percentage of White residents at 96% compared to 87% in Anaconda.
- The Asian population is larger in Fife lake at 1% compared to 0% in Anaconda.
- Anaconda has a higher percentage of Hispanic residents at 4%, compared to 1% in Fife lake.
- The percentage of residents identifying as two or more races is higher in Anaconda at 6%, compared to 1% in Fife lake.
- In Anaconda, the percentage of American Indian residents is higher at 2%, compared to 1% in Fife lake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fife lake | Anaconda |
---|---|---|
Mental Health Not Good | 17.3% | 17.4% |
Physical Health Not Good | 10.6% | 12.7% |
Depression | 24.8% | 24.1% |
Smoking | 17.7% | 21.1% |
Binge Drinking | 19.2% | 21.8% |
Obesity | 30.7% | 36.3% |
Disability Percentage | 12.0% | 23.0% |
Health Statistics Comparison: Fife lake vs Anaconda
- In Anaconda, a higher percentage report poor mental health at 17.4% compared to 17.3% in Fife lake.
- Depression is more prevalent in Fife lake at 24.8% compared to 24.1% in Anaconda.
- Anaconda has a higher smoking rate at 21.1% compared to 17.7% in Fife lake.
- More residents engage in binge drinking in Anaconda at 21.8% compared to 19.2% in Fife lake.
- Anaconda has higher obesity rates at 36.3% compared to 30.7% in Fife lake.
- There is a higher percentage of disabled individuals in Anaconda at 23.0% compared to 12.0% in Fife lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Fife lake | Anaconda |
---|---|---|
No Schooling | 0.4% (2) | 1.6% (153) |
High School Diploma | 16.2% (76) | 25.3% (2,409) |
Less than High School | 6.4% (30) | 14.6% (1,384) |
Bachelor's Degree and Higher | 11.5% (54) | 15.7% (1,494) |
Education Levels Comparison: Fife lake vs Anaconda
- In Anaconda, a larger percentage of residents lack formal schooling at 1.6% compared to 0.4% in Fife lake.
- In Anaconda, the rate of residents with high school diplomas is higher at 25.3% compared to 16.2% in Fife lake.
- The percentage of residents with less than a high school education is higher in Anaconda at 14.6%, compared to 6.4% in Fife lake.
- In Anaconda, a larger share of residents have a bachelor's degree or higher at 15.7% compared to 11.5% in Fife 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.