Demographics details for Elmo, UT vs Lawrence, MA
Population Overview
Compare main population characteristics in Elmo, UT vs Lawrence, MA.
| Data | Elmo | Lawrence |
|---|---|---|
| Population | 415 | 87,954 |
| Median Age | 38.3 years | 31.5 years |
| Median Income | $62,917 | $53,977 |
| Married Families | 44.0% | 26.0% |
| Poverty Level | Data is updating | 15% |
| Unemployment Rate | 2.5 | 7.1 |
Population Comparison: Elmo vs Lawrence
- The population in Lawrence is higher at 87,954, compared to 415 in Elmo.
- Residents in Elmo have a higher median age of 38.3 years compared to 31.5 years in Lawrence.
- Elmo has a higher median income of $62,917 compared to $53,977 in Lawrence.
- A higher percentage of married families is found in Elmo at 44.0% compared to 26.0% in Lawrence.
- The poverty level is higher in Lawrence at 15%, compared to 0% in Elmo.
- Lawrence has a higher unemployment rate at 7.1% compared to 2.5% in Elmo.
Demographics
Demographics Elmo vs Lawrence provide insight into the diversity of the communities to compare.
| Demographic | Elmo | Lawrence |
|---|---|---|
| Black | Data is updating | 5 |
| White | 96 | -4 |
| Asian | Data is updating | 2 |
| Hispanic | 4 | 82 |
| Two or More Races | Data is updating | 15 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Elmo vs Lawrence
- In Lawrence, the percentage of Black residents is higher at 5% compared to 0% in Elmo.
- Elmo has a higher percentage of White residents at 96% compared to -4% in Lawrence.
- In Lawrence, the Asian population stands at 2%, greater than 0% in Elmo.
- Lawrence has a higher percentage of Hispanic residents at 82%, compared to 4% in Elmo.
- The percentage of residents identifying as two or more races is higher in Lawrence at 15%, compared to 0% in Elmo.
- The percentage of American Indian residents is the same in both Elmo and Lawrence at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Elmo | Lawrence |
|---|---|---|
| Mental Health Not Good | 17.3% | 18.9% |
| Physical Health Not Good | 11.7% | 14.2% |
| Depression | 22.9% | 22.4% |
| Smoking | 11.9% | 17.3% |
| Binge Drinking | 13.2% | 14.5% |
| Obesity | 36.4% | 37.4% |
| Disability Percentage | 20.0% | 14.0% |
Health Statistics Comparison: Elmo vs Lawrence
- In Lawrence, a higher percentage report poor mental health at 18.9% compared to 17.3% in Elmo.
- Depression is more prevalent in Elmo at 22.9% compared to 22.4% in Lawrence.
- Lawrence has a higher smoking rate at 17.3% compared to 11.9% in Elmo.
- More residents engage in binge drinking in Lawrence at 14.5% compared to 13.2% in Elmo.
- Lawrence has higher obesity rates at 37.4% compared to 36.4% in Elmo.
- Disability percentages are higher in Elmo at 20.0% compared to 14.0% in Lawrence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Elmo | Lawrence |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.7% (2,366) |
| High School Diploma | 8.0% (33) | 18.6% (16,316) |
| Less than High School | 5.8% (24) | 34.1% (29,963) |
| Bachelor's Degree and Higher | 13.7% (57) | 9.2% (8,067) |
Education Levels Comparison: Elmo vs Lawrence
- In Lawrence, a larger percentage of residents lack formal schooling at 2.7% compared to 0.0% in Elmo.
- In Lawrence, the rate of residents with high school diplomas is higher at 18.6% compared to 8.0% in Elmo.
- The percentage of residents with less than a high school education is higher in Lawrence at 34.1%, 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 9.2% in Lawrence.
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.