Demographics details for Montgomery, IL vs Weed, CA
Population Overview
Compare main population characteristics in Montgomery, IL vs Weed, CA.
| Data | Montgomery | Weed |
|---|---|---|
| Population | 21,799 | 2,811 |
| Median Age | 31.7 years | 44.1 years |
| Median Income | $105,240 | $35,641 |
| Married Families | 36.0% | 21.0% |
| Poverty Level | 5% | 19% |
| Unemployment Rate | 3.5 | 6.5 |
Population Comparison: Montgomery vs Weed
- In Montgomery, the population is higher at 21,799, compared to 2,811 in Weed.
- The median age in Weed is higher at 44.1 years, compared to 31.7 years in Montgomery.
- Montgomery has a higher median income of $105,240 compared to $35,641 in Weed.
- A higher percentage of married families is found in Montgomery at 36.0% compared to 21.0% in Weed.
- The poverty level is higher in Weed at 19%, compared to 5% in Montgomery.
- Weed has a higher unemployment rate at 6.5% compared to 3.5% in Montgomery.
Demographics
Demographics Montgomery vs Weed provide insight into the diversity of the communities to compare.
| Demographic | Montgomery | Weed |
|---|---|---|
| Black | 5 | 8 |
| White | 52 | 59 |
| Asian | 1 | 5 |
| Hispanic | 31 | 19 |
| Two or More Races | 11 | 7 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Montgomery vs Weed
- In Weed, the percentage of Black residents is higher at 8% compared to 5% in Montgomery.
- The percentage of White residents is higher in Weed at 59% compared to 52% in Montgomery.
- In Weed, the Asian population stands at 5%, greater than 1% in Montgomery.
- The Hispanic community is larger in Montgomery at 31% compared to 19% in Weed.
- More residents identify as two or more races in Montgomery at 11% compared to 7% in Weed.
- In Weed, the percentage of American Indian residents is higher at 2%, compared to 0% in Montgomery.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Montgomery | Weed |
|---|---|---|
| Mental Health Not Good | 14.6% | 17.5% |
| Physical Health Not Good | 10.3% | 11.8% |
| Depression | 18.8% | 21.3% |
| Smoking | 14.1% | 14.5% |
| Binge Drinking | 17.3% | 16.9% |
| Obesity | 34.4% | 32.3% |
| Disability Percentage | 4.0% | 23.0% |
Health Statistics Comparison: Montgomery vs Weed
- In Weed, a higher percentage report poor mental health at 17.5% compared to 14.6% in Montgomery.
- Higher depression rates are seen in Weed at 21.3% versus 18.8% in Montgomery.
- Weed has a higher smoking rate at 14.5% compared to 14.1% in Montgomery.
- Binge drinking is more common in Montgomery at 17.3% compared to 16.9% in Weed.
- Obesity rates are higher in Montgomery at 34.4% compared to 32.3% in Weed.
- There is a higher percentage of disabled individuals in Weed at 23.0% compared to 4.0% in Montgomery.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Montgomery | Weed |
|---|---|---|
| No Schooling | 1.2% (255) | 1.8% (50) |
| High School Diploma | 15.6% (3,406) | 17.6% (494) |
| Less than High School | 8.2% (1,792) | 18.6% (522) |
| Bachelor's Degree and Higher | 15.5% (3,372) | 8.7% (245) |
Education Levels Comparison: Montgomery vs Weed
- In Weed, a larger percentage of residents lack formal schooling at 1.8% compared to 1.2% in Montgomery.
- In Weed, the rate of residents with high school diplomas is higher at 17.6% compared to 15.6% in Montgomery.
- The percentage of residents with less than a high school education is higher in Weed at 18.6%, compared to 8.2% in Montgomery.
- A higher percentage of residents in Montgomery hold a bachelor's degree or higher at 15.5% 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.