Demographics details for Woodland, CA vs Post falls, ID
Population Overview
Compare main population characteristics in Woodland, CA vs Post falls, ID.
| Data | Woodland | Post falls |
|---|---|---|
| Population | 61,462 | 44,194 |
| Median Age | 37.0 years | 34.5 years |
| Median Income | $84,494 | $71,042 |
| Married Families | 40.0% | 35.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 6.0 | 3.7 |
Population Comparison: Woodland vs Post falls
- In Woodland, the population is higher at 61,462, compared to 44,194 in Post falls.
- Residents in Woodland have a higher median age of 37.0 years compared to 34.5 years in Post falls.
- Woodland has a higher median income of $84,494 compared to $71,042 in Post falls.
- A higher percentage of married families is found in Woodland at 40.0% compared to 35.0% in Post falls.
- Woodland has a higher poverty level at 12% compared to 8% in Post falls.
- The unemployment rate in Woodland is higher at 6.0%, compared to 3.7% in Post falls.
Demographics
Demographics Woodland vs Post falls provide insight into the diversity of the communities to compare.
| Demographic | Woodland | Post falls |
|---|---|---|
| Black | 2 | Data is updating |
| White | 21 | 87 |
| Asian | 7 | Data is updating |
| Hispanic | 49 | 5 |
| Two or More Races | 20 | 7 |
| American Indian | 1 | 1 |
Demographics Comparison: Woodland vs Post falls
- A higher percentage of Black residents are in Woodland at 2% compared to 0% in Post falls.
- The percentage of White residents is higher in Post falls at 87% compared to 21% in Woodland.
- The Asian population is larger in Woodland at 7% compared to 0% in Post falls.
- The Hispanic community is larger in Woodland at 49% compared to 5% in Post falls.
- More residents identify as two or more races in Woodland at 20% compared to 7% in Post falls.
- The percentage of American Indian residents is the same in both Woodland and Post falls at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodland | Post falls |
|---|---|---|
| Mental Health Not Good | 16.0% | 16.9% |
| Physical Health Not Good | 11.6% | 12.3% |
| Depression | 18.8% | 22.9% |
| Smoking | 12.2% | 18.6% |
| Binge Drinking | 16.4% | 17.6% |
| Obesity | 28.9% | 29.8% |
| Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: Woodland vs Post falls
- In Post falls, a higher percentage report poor mental health at 16.9% compared to 16.0% in Woodland.
- Higher depression rates are seen in Post falls at 22.9% versus 18.8% in Woodland.
- Post falls has a higher smoking rate at 18.6% compared to 12.2% in Woodland.
- More residents engage in binge drinking in Post falls at 17.6% compared to 16.4% in Woodland.
- Post falls has higher obesity rates at 29.8% compared to 28.9% in Woodland.
- Disability percentages are the same in both Woodland and Post falls at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodland | Post falls |
|---|---|---|
| No Schooling | 2.0% (1,223) | 0.3% (121) |
| High School Diploma | 13.9% (8,533) | 14.1% (6,217) |
| Less than High School | 22.2% (13,649) | 7.7% (3,421) |
| Bachelor's Degree and Higher | 19.0% (11,706) | 13.1% (5,799) |
Education Levels Comparison: Woodland vs Post falls
- A higher percentage of residents in Woodland have no formal schooling at 2.0% compared to 0.3% in Post falls.
- In Post falls, the rate of residents with high school diplomas is higher at 14.1% compared to 13.9% in Woodland.
- More residents in Woodland have less than a high school education at 22.2% compared to 7.7% in Post falls.
- A higher percentage of residents in Woodland hold a bachelor's degree or higher at 19.0% 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.