Demographics details for Farson, WY vs Post falls, ID
Population Overview
Compare main population characteristics in Farson, WY vs Post falls, ID.
| Data | Farson | Post falls |
|---|---|---|
| Population | 217 | 44,194 |
| Median Age | 44.5 years | 34.5 years |
| Median Income | $42,721 | $71,042 |
| Married Families | 19.0% | 35.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Farson vs Post falls
- The population in Post falls is higher at 44,194, compared to 217 in Farson.
- Residents in Farson have a higher median age of 44.5 years compared to 34.5 years in Post falls.
- Post falls has a higher median income of $71,042, compared to $42,721 in Farson.
- In Post falls, the percentage of married families is higher at 35.0%, compared to 19.0% in Farson.
- Farson has a higher poverty level at 10% compared to 8% in Post falls.
- Post falls has a higher unemployment rate at 3.7% compared to 3.5% in Farson.
Demographics
Demographics Farson vs Post falls provide insight into the diversity of the communities to compare.
| Demographic | Farson | Post falls |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 100 | 87 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 5 |
| Two or More Races | Data is updating | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Farson vs Post falls
- The percentage of Black residents is the same in both Farson and Post falls at 0%.
- Farson has a higher percentage of White residents at 100% compared to 87% in Post falls.
- Both Farson and Post falls have the same percentage of Asian residents at 0%.
- Post falls has a higher percentage of Hispanic residents at 5%, compared to 0% in Farson.
- The percentage of residents identifying as two or more races is higher in Post falls at 7%, compared to 0% in Farson.
- In Post falls, the percentage of American Indian residents is higher at 1%, compared to 0% in Farson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Farson | Post falls |
|---|---|---|
| Mental Health Not Good | 15.7% | 16.9% |
| Physical Health Not Good | 9.9% | 12.3% |
| Depression | 20.3% | 22.9% |
| Smoking | 17.2% | 18.6% |
| Binge Drinking | 19.0% | 17.6% |
| Obesity | 32.5% | 29.8% |
| Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Farson vs Post falls
- In Post falls, a higher percentage report poor mental health at 16.9% compared to 15.7% in Farson.
- Higher depression rates are seen in Post falls at 22.9% versus 20.3% in Farson.
- Post falls has a higher smoking rate at 18.6% compared to 17.2% in Farson.
- Binge drinking is more common in Farson at 19.0% compared to 17.6% in Post falls.
- Obesity rates are higher in Farson at 32.5% compared to 29.8% in Post falls.
- Disability percentages are higher in Farson at 13.0% compared to 12.0% in Post falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Farson | Post falls |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (121) |
| High School Diploma | 13.8% (30) | 14.1% (6,217) |
| Less than High School | 0.0% (Data is updating) | 7.7% (3,421) |
| Bachelor's Degree and Higher | 16.1% (35) | 13.1% (5,799) |
Education Levels Comparison: Farson vs Post falls
- In Post falls, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Farson.
- In Post falls, the rate of residents with high school diplomas is higher at 14.1% compared to 13.8% in Farson.
- The percentage of residents with less than a high school education is higher in Post falls at 7.7%, compared to 0.0% in Farson.
- A higher percentage of residents in Farson hold a bachelor's degree or higher at 16.1% compared to 13.1% in Post falls.
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.