Demographics details for Angel fire, NM vs Riverbank, CA
Population Overview
Compare main population characteristics in Angel fire, NM vs Riverbank, CA.
Data | Angel fire | Riverbank |
---|---|---|
Population | 1,180 | 24,826 |
Median Age | 52.9 years | 33.6 years |
Median Income | $76,875 | $89,504 |
Married Families | 39.0% | 38.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 4.5 | 5.2 |
Population Comparison: Angel fire vs Riverbank
- The population in Riverbank is higher at 24,826, compared to 1,180 in Angel fire.
- Residents in Angel fire have a higher median age of 52.9 years compared to 33.6 years in Riverbank.
- Riverbank has a higher median income of $89,504, compared to $76,875 in Angel fire.
- A higher percentage of married families is found in Angel fire at 39.0% compared to 38.0% in Riverbank.
- The poverty level is identical in both Angel fire and Riverbank at 10%.
- Riverbank has a higher unemployment rate at 5.2% compared to 4.5% in Angel fire.
Demographics
Demographics Angel fire vs Riverbank provide insight into the diversity of the communities to compare.
Demographic | Angel fire | Riverbank |
---|---|---|
Black | 1 | 1 |
White | 59 | 13 |
Asian | 1 | 6 |
Hispanic | 25 | 55 |
Two or More Races | 6 | 23 |
American Indian | 8 | 2 |
Demographics Comparison: Angel fire vs Riverbank
- The percentage of Black residents is the same in both Angel fire and Riverbank at 1%.
- Angel fire has a higher percentage of White residents at 59% compared to 13% in Riverbank.
- In Riverbank, the Asian population stands at 6%, greater than 1% in Angel fire.
- Riverbank has a higher percentage of Hispanic residents at 55%, compared to 25% in Angel fire.
- The percentage of residents identifying as two or more races is higher in Riverbank at 23%, compared to 6% in Angel fire.
- A greater percentage of American Indian residents live in Angel fire at 8% compared to 2% in Riverbank.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Angel fire | Riverbank |
---|---|---|
Mental Health Not Good | 17.2% | 17.2% |
Physical Health Not Good | 11.4% | 13.2% |
Depression | 23.6% | 21.0% |
Smoking | 16.8% | 15.0% |
Binge Drinking | 16.2% | 16.4% |
Obesity | 35.0% | 35.0% |
Disability Percentage | 5.0% | 10.0% |
Health Statistics Comparison: Angel fire vs Riverbank
- Poor mental health levels are equal in both Angel fire and Riverbank at 17.2%.
- Depression is more prevalent in Angel fire at 23.6% compared to 21.0% in Riverbank.
- Smoking is more prevalent in Angel fire at 16.8% compared to 15.0% in Riverbank.
- More residents engage in binge drinking in Riverbank at 16.4% compared to 16.2% in Angel fire.
- Both cities have the same obesity rates at 35.0%.
- There is a higher percentage of disabled individuals in Riverbank at 10.0% compared to 5.0% in Angel fire.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Angel fire | Riverbank |
---|---|---|
No Schooling | 0.0% (Data is updating) | 3.1% (766) |
High School Diploma | 6.5% (77) | 15.2% (3,764) |
Less than High School | 6.1% (72) | 22.2% (5,505) |
Bachelor's Degree and Higher | 22.9% (270) | 11.3% (2,804) |
Education Levels Comparison: Angel fire vs Riverbank
- In Riverbank, a larger percentage of residents lack formal schooling at 3.1% compared to 0.0% in Angel fire.
- In Riverbank, the rate of residents with high school diplomas is higher at 15.2% compared to 6.5% in Angel fire.
- The percentage of residents with less than a high school education is higher in Riverbank at 22.2%, compared to 6.1% in Angel fire.
- A higher percentage of residents in Angel fire hold a bachelor's degree or higher at 22.9% compared to 11.3% in Riverbank.
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.