Demographics details for Yucca valley, CA vs Montgomery, IL
Population Overview
Compare main population characteristics in Yucca valley, CA vs Montgomery, IL.
Data | Yucca valley | Montgomery |
---|---|---|
Population | 21,662 | 21,799 |
Median Age | 39.9 years | 31.7 years |
Median Income | $54,153 | $105,240 |
Married Families | 34.0% | 36.0% |
Poverty Level | 12% | 5% |
Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Yucca valley vs Montgomery
- The population in Montgomery is higher at 21,799, compared to 21,662 in Yucca valley.
- Residents in Yucca valley have a higher median age of 39.9 years compared to 31.7 years in Montgomery.
- Montgomery has a higher median income of $105,240, compared to $54,153 in Yucca valley.
- In Montgomery, the percentage of married families is higher at 36.0%, compared to 34.0% in Yucca valley.
- Yucca valley has a higher poverty level at 12% compared to 5% in Montgomery.
- The unemployment rate in Yucca valley is higher at 5.2%, compared to 3.5% in Montgomery.
Demographics
Demographics Yucca valley vs Montgomery provide insight into the diversity of the communities to compare.
Demographic | Yucca valley | Montgomery |
---|---|---|
Black | 4 | 5 |
White | 51 | 52 |
Asian | 2 | 1 |
Hispanic | 25 | 31 |
Two or More Races | 16 | 11 |
American Indian | 2 | Data is updating |
Demographics Comparison: Yucca valley vs Montgomery
- In Montgomery, the percentage of Black residents is higher at 5% compared to 4% in Yucca valley.
- The percentage of White residents is higher in Montgomery at 52% compared to 51% in Yucca valley.
- The Asian population is larger in Yucca valley at 2% compared to 1% in Montgomery.
- Montgomery has a higher percentage of Hispanic residents at 31%, compared to 25% in Yucca valley.
- More residents identify as two or more races in Yucca valley at 16% compared to 11% in Montgomery.
- A greater percentage of American Indian residents live in Yucca valley at 2% compared to 0% in Montgomery.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Yucca valley | Montgomery |
---|---|---|
Mental Health Not Good | 19.2% | 14.6% |
Physical Health Not Good | 13.6% | 10.3% |
Depression | 22.0% | 18.8% |
Smoking | 16.7% | 14.1% |
Binge Drinking | 16.4% | 17.3% |
Obesity | 38.8% | 34.4% |
Disability Percentage | 20.0% | 4.0% |
Health Statistics Comparison: Yucca valley vs Montgomery
- More residents in Yucca valley report poor mental health at 19.2% compared to 14.6% in Montgomery.
- Depression is more prevalent in Yucca valley at 22.0% compared to 18.8% in Montgomery.
- Smoking is more prevalent in Yucca valley at 16.7% compared to 14.1% in Montgomery.
- More residents engage in binge drinking in Montgomery at 17.3% compared to 16.4% in Yucca valley.
- Obesity rates are higher in Yucca valley at 38.8% compared to 34.4% in Montgomery.
- Disability percentages are higher in Yucca valley at 20.0% 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 | Yucca valley | Montgomery |
---|---|---|
No Schooling | 0.9% (191) | 1.2% (255) |
High School Diploma | 17.3% (3,754) | 15.6% (3,406) |
Less than High School | 15.6% (3,383) | 8.2% (1,792) |
Bachelor's Degree and Higher | 13.4% (2,907) | 15.5% (3,372) |
Education Levels Comparison: Yucca valley vs Montgomery
- In Montgomery, a larger percentage of residents lack formal schooling at 1.2% compared to 0.9% in Yucca valley.
- A higher percentage of residents in Yucca valley hold a high school diploma at 17.3% compared to 15.6% in Montgomery.
- More residents in Yucca valley have less than a high school education at 15.6% compared to 8.2% in Montgomery.
- In Montgomery, a larger share of residents have a bachelor's degree or higher at 15.5% compared to 13.4% in Yucca valley.
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.