Demographics details for Helena, MT vs Lemon cove, CA
Population Overview
Compare main population characteristics in Helena, MT vs Lemon cove, CA.
Data | Helena | Lemon cove |
---|---|---|
Population | 33,885 | 498 |
Median Age | 39.9 years | 39.7 years |
Median Income | $64,798 | $54,489 |
Married Families | 34.0% | 46.0% |
Poverty Level | 10% | 13% |
Unemployment Rate | 3.0 | 5.1 |
Population Comparison: Helena vs Lemon cove
- In Helena, the population is higher at 33,885, compared to 498 in Lemon cove.
- Residents in Helena have a higher median age of 39.9 years compared to 39.7 years in Lemon cove.
- Helena has a higher median income of $64,798 compared to $54,489 in Lemon cove.
- In Lemon cove, the percentage of married families is higher at 46.0%, compared to 34.0% in Helena.
- The poverty level is higher in Lemon cove at 13%, compared to 10% in Helena.
- Lemon cove has a higher unemployment rate at 5.1% compared to 3.0% in Helena.
Demographics
Demographics Helena vs Lemon cove provide insight into the diversity of the communities to compare.
Demographic | Helena | Lemon cove |
---|---|---|
Black | 1 | Data is updating |
White | 88 | 58 |
Asian | 1 | Data is updating |
Hispanic | 5 | 39 |
Two or More Races | 4 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Helena vs Lemon cove
- A higher percentage of Black residents are in Helena at 1% compared to 0% in Lemon cove.
- Helena has a higher percentage of White residents at 88% compared to 58% in Lemon cove.
- The Asian population is larger in Helena at 1% compared to 0% in Lemon cove.
- Lemon cove has a higher percentage of Hispanic residents at 39%, compared to 5% in Helena.
- More residents identify as two or more races in Helena at 4% compared to 3% in Lemon cove.
- A greater percentage of American Indian residents live in Helena at 1% compared to 0% in Lemon cove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Helena | Lemon cove |
---|---|---|
Mental Health Not Good | 14.8% | 17.1% |
Physical Health Not Good | 9.6% | 11.9% |
Depression | 23.5% | 20.8% |
Smoking | 13.1% | 14.1% |
Binge Drinking | 21.9% | 17.3% |
Obesity | 30.4% | 31.0% |
Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Helena vs Lemon cove
- In Lemon cove, a higher percentage report poor mental health at 17.1% compared to 14.8% in Helena.
- Depression is more prevalent in Helena at 23.5% compared to 20.8% in Lemon cove.
- Lemon cove has a higher smoking rate at 14.1% compared to 13.1% in Helena.
- Binge drinking is more common in Helena at 21.9% compared to 17.3% in Lemon cove.
- Lemon cove has higher obesity rates at 31.0% compared to 30.4% in Helena.
- There is a higher percentage of disabled individuals in Lemon cove at 14.0% compared to 12.0% in Helena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Helena | Lemon cove |
---|---|---|
No Schooling | 0.1% (38) | 0.0% (Data is updating) |
High School Diploma | 10.0% (3,385) | 24.9% (124) |
Less than High School | 4.7% (1,597) | 17.7% (88) |
Bachelor's Degree and Higher | 34.3% (11,632) | 20.9% (104) |
Education Levels Comparison: Helena vs Lemon cove
- A higher percentage of residents in Helena have no formal schooling at 0.1% compared to 0.0% in Lemon cove.
- In Lemon cove, the rate of residents with high school diplomas is higher at 24.9% compared to 10.0% in Helena.
- The percentage of residents with less than a high school education is higher in Lemon cove at 17.7%, compared to 4.7% in Helena.
- A higher percentage of residents in Helena hold a bachelor's degree or higher at 34.3% compared to 20.9% in Lemon cove.
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.