Demographics details for Eliot, ME vs Cameron, TX
Population Overview
Compare main population characteristics in Eliot, ME vs Cameron, TX.
Data | Eliot | Cameron |
---|---|---|
Population | 6,747 | 425,208 |
Median Age | 42.0 years | 32.0 years |
Median Income | $80,000 | $47,435 |
Married Families | 60.0% | 36.0% |
Poverty Level | 5% | 15% |
Unemployment Rate | 1.7 | 6.2 |
Population Comparison: Eliot vs Cameron
- The population in Cameron is higher at 425,208, compared to 6,747 in Eliot.
- Residents in Eliot have a higher median age of 42.0 years compared to 32.0 years in Cameron.
- Eliot has a higher median income of $80,000 compared to $47,435 in Cameron.
- A higher percentage of married families is found in Eliot at 60.0% compared to 36.0% in Cameron.
- The poverty level is higher in Cameron at 15%, compared to 5% in Eliot.
- Cameron has a higher unemployment rate at 6.2% compared to 1.7% in Eliot.
Demographics
Demographics Eliot vs Cameron provide insight into the diversity of the communities to compare.
Demographic | Eliot | Cameron |
---|---|---|
Black | 1 | 1 |
White | 96 | 60 |
Asian | 2 | 1 |
Hispanic | 1 | 89 |
Two or More Races | 1 | 29 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Eliot vs Cameron
- The percentage of Black residents is the same in both Eliot and Cameron at 1%.
- Eliot has a higher percentage of White residents at 96% compared to 60% in Cameron.
- The Asian population is larger in Eliot at 2% compared to 1% in Cameron.
- Cameron has a higher percentage of Hispanic residents at 89%, compared to 1% in Eliot.
- The percentage of residents identifying as two or more races is higher in Cameron at 29%, compared to 1% in Eliot.
- The percentage of American Indian residents is the same in both Eliot and Cameron at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Eliot | Cameron |
---|---|---|
Mental Health Not Good | Data is updating% | 17.0% |
Physical Health Not Good | Data is updating% | 14.6% |
Depression | Data is updating% | 19.0% |
Smoking | Data is updating% | 15.4% |
Binge Drinking | Data is updating% | 16.3% |
Obesity | Data is updating% | 44.6% |
Disability Percentage | Data is updating% | 12.0% |
Health Statistics Comparison: Eliot vs Cameron
- In Cameron, a higher percentage report poor mental health at 17.0% compared to 0.0% in Eliot.
- Higher depression rates are seen in Cameron at 19.0% versus 0.0% in Eliot.
- Cameron has a higher smoking rate at 15.4% compared to 0.0% in Eliot.
- More residents engage in binge drinking in Cameron at 16.3% compared to 0.0% in Eliot.
- Cameron has higher obesity rates at 44.6% compared to 0.0% in Eliot.
- There is a higher percentage of disabled individuals in Cameron at 12.0% compared to 0.0% in Eliot.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Eliot | Cameron |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.8% (11,750) |
High School Diploma | 0.0% (Data is updating) | 12.6% (53,487) |
Less than High School | 0.0% (Data is updating) | 34.2% (145,250) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 11.5% (48,712) |
Education Levels Comparison: Eliot vs Cameron
- In Cameron, a larger percentage of residents lack formal schooling at 2.8% compared to 0.0% in Eliot.
- In Cameron, the rate of residents with high school diplomas is higher at 12.6% compared to 0.0% in Eliot.
- The percentage of residents with less than a high school education is higher in Cameron at 34.2%, compared to 0.0% in Eliot.
- In Cameron, a larger share of residents have a bachelor's degree or higher at 11.5% compared to 0.0% in Eliot.
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.