Demographics details for Weed, CA vs Mountain grove, MO
Population Overview
Compare main population characteristics in Weed, CA vs Mountain grove, MO.
| Data | Weed | Mountain grove |
|---|---|---|
| Population | 2,811 | 4,551 |
| Median Age | 44.1 years | 42.3 years |
| Median Income | $35,641 | $38,103 |
| Married Families | 21.0% | 35.0% |
| Poverty Level | 19% | 15% |
| Unemployment Rate | 6.5 | 4.5 |
Population Comparison: Weed vs Mountain grove
- The population in Mountain grove is higher at 4,551, compared to 2,811 in Weed.
- Residents in Weed have a higher median age of 44.1 years compared to 42.3 years in Mountain grove.
- Mountain grove has a higher median income of $38,103, compared to $35,641 in Weed.
- In Mountain grove, the percentage of married families is higher at 35.0%, compared to 21.0% in Weed.
- Weed has a higher poverty level at 19% compared to 15% in Mountain grove.
- The unemployment rate in Weed is higher at 6.5%, compared to 4.5% in Mountain grove.
Demographics
Demographics Weed vs Mountain grove provide insight into the diversity of the communities to compare.
| Demographic | Weed | Mountain grove |
|---|---|---|
| Black | 8 | Data is updating |
| White | 59 | 89 |
| Asian | 5 | 1 |
| Hispanic | 19 | 2 |
| Two or More Races | 7 | 8 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Weed vs Mountain grove
- A higher percentage of Black residents are in Weed at 8% compared to 0% in Mountain grove.
- The percentage of White residents is higher in Mountain grove at 89% compared to 59% in Weed.
- The Asian population is larger in Weed at 5% compared to 1% in Mountain grove.
- The Hispanic community is larger in Weed at 19% compared to 2% in Mountain grove.
- The percentage of residents identifying as two or more races is higher in Mountain grove at 8%, compared to 7% in Weed.
- A greater percentage of American Indian residents live in Weed at 2% compared to 0% in Mountain grove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Weed | Mountain grove |
|---|---|---|
| Mental Health Not Good | 17.5% | 22.5% |
| Physical Health Not Good | 11.8% | 18.1% |
| Depression | 21.3% | 28.4% |
| Smoking | 14.5% | 31.2% |
| Binge Drinking | 16.9% | 14.8% |
| Obesity | 32.3% | 44.6% |
| Disability Percentage | 23.0% | 24.0% |
Health Statistics Comparison: Weed vs Mountain grove
- In Mountain grove, a higher percentage report poor mental health at 22.5% compared to 17.5% in Weed.
- Higher depression rates are seen in Mountain grove at 28.4% versus 21.3% in Weed.
- Mountain grove has a higher smoking rate at 31.2% compared to 14.5% in Weed.
- Binge drinking is more common in Weed at 16.9% compared to 14.8% in Mountain grove.
- Mountain grove has higher obesity rates at 44.6% compared to 32.3% in Weed.
- There is a higher percentage of disabled individuals in Mountain grove at 24.0% compared to 23.0% in Weed.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Weed | Mountain grove |
|---|---|---|
| No Schooling | 1.8% (50) | 0.6% (26) |
| High School Diploma | 17.6% (494) | 27.6% (1,256) |
| Less than High School | 18.6% (522) | 23.2% (1,057) |
| Bachelor's Degree and Higher | 8.7% (245) | 8.8% (400) |
Education Levels Comparison: Weed vs Mountain grove
- A higher percentage of residents in Weed have no formal schooling at 1.8% compared to 0.6% in Mountain grove.
- In Mountain grove, the rate of residents with high school diplomas is higher at 27.6% compared to 17.6% in Weed.
- The percentage of residents with less than a high school education is higher in Mountain grove at 23.2%, compared to 18.6% in Weed.
- In Mountain grove, a larger share of residents have a bachelor's degree or higher at 8.8% compared to 8.7% in Weed.
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.