Demographics details for Elmo, UT vs Coalinga, CA
Population Overview
Compare main population characteristics in Elmo, UT vs Coalinga, CA.
| Data | Elmo | Coalinga |
|---|---|---|
| Population | 415 | 17,024 |
| Median Age | 38.3 years | 35.0 years |
| Median Income | $62,917 | $68,976 |
| Married Families | 44.0% | 31.0% |
| Poverty Level | Data is updating | 15% |
| Unemployment Rate | 2.5 | 6.5 |
Population Comparison: Elmo vs Coalinga
- The population in Coalinga is higher at 17,024, compared to 415 in Elmo.
- Residents in Elmo have a higher median age of 38.3 years compared to 35.0 years in Coalinga.
- Coalinga has a higher median income of $68,976, compared to $62,917 in Elmo.
- A higher percentage of married families is found in Elmo at 44.0% compared to 31.0% in Coalinga.
- The poverty level is higher in Coalinga at 15%, compared to 0% in Elmo.
- Coalinga has a higher unemployment rate at 6.5% compared to 2.5% in Elmo.
Demographics
Demographics Elmo vs Coalinga provide insight into the diversity of the communities to compare.
| Demographic | Elmo | Coalinga |
|---|---|---|
| Black | Data is updating | 4 |
| White | 96 | 9 |
| Asian | Data is updating | 2 |
| Hispanic | 4 | 65 |
| Two or More Races | Data is updating | 18 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Elmo vs Coalinga
- In Coalinga, the percentage of Black residents is higher at 4% compared to 0% in Elmo.
- Elmo has a higher percentage of White residents at 96% compared to 9% in Coalinga.
- In Coalinga, the Asian population stands at 2%, greater than 0% in Elmo.
- Coalinga has a higher percentage of Hispanic residents at 65%, compared to 4% in Elmo.
- The percentage of residents identifying as two or more races is higher in Coalinga at 18%, compared to 0% in Elmo.
- In Coalinga, the percentage of American Indian residents is higher at 2%, compared to 0% in Elmo.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Elmo | Coalinga |
|---|---|---|
| Mental Health Not Good | 17.3% | 16.9% |
| Physical Health Not Good | 11.7% | 13.9% |
| Depression | 22.9% | 16.4% |
| Smoking | 11.9% | 17.2% |
| Binge Drinking | 13.2% | 15.9% |
| Obesity | 36.4% | 39.1% |
| Disability Percentage | 20.0% | 13.0% |
Health Statistics Comparison: Elmo vs Coalinga
- More residents in Elmo report poor mental health at 17.3% compared to 16.9% in Coalinga.
- Depression is more prevalent in Elmo at 22.9% compared to 16.4% in Coalinga.
- Coalinga has a higher smoking rate at 17.2% compared to 11.9% in Elmo.
- More residents engage in binge drinking in Coalinga at 15.9% compared to 13.2% in Elmo.
- Coalinga has higher obesity rates at 39.1% compared to 36.4% in Elmo.
- Disability percentages are higher in Elmo at 20.0% compared to 13.0% in Coalinga.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Elmo | Coalinga |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.2% (537) |
| High School Diploma | 8.0% (33) | 13.8% (2,349) |
| Less than High School | 5.8% (24) | 39.2% (6,672) |
| Bachelor's Degree and Higher | 13.7% (57) | 8.1% (1,380) |
Education Levels Comparison: Elmo vs Coalinga
- In Coalinga, a larger percentage of residents lack formal schooling at 3.2% compared to 0.0% in Elmo.
- In Coalinga, the rate of residents with high school diplomas is higher at 13.8% compared to 8.0% in Elmo.
- The percentage of residents with less than a high school education is higher in Coalinga at 39.2%, compared to 5.8% in Elmo.
- A higher percentage of residents in Elmo hold a bachelor's degree or higher at 13.7% compared to 8.1% in Coalinga.
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.