Demographics details for Dimmitt, TX vs Mount juliet, TN
Population Overview
Compare main population characteristics in Dimmitt, TX vs Mount juliet, TN.
| Data | Dimmitt | Mount juliet |
|---|---|---|
| Population | 4,118 | 42,548 |
| Median Age | 31.0 years | 39.2 years |
| Median Income | $64,848 | $108,066 |
| Married Families | 37.0% | 45.0% |
| Poverty Level | 13% | 5% |
| Unemployment Rate | 3.9 | 2.8 |
Population Comparison: Dimmitt vs Mount juliet
- The population in Mount juliet is higher at 42,548, compared to 4,118 in Dimmitt.
- The median age in Mount juliet is higher at 39.2 years, compared to 31.0 years in Dimmitt.
- Mount juliet has a higher median income of $108,066, compared to $64,848 in Dimmitt.
- In Mount juliet, the percentage of married families is higher at 45.0%, compared to 37.0% in Dimmitt.
- Dimmitt has a higher poverty level at 13% compared to 5% in Mount juliet.
- The unemployment rate in Dimmitt is higher at 3.9%, compared to 2.8% in Mount juliet.
Demographics
Demographics Dimmitt vs Mount juliet provide insight into the diversity of the communities to compare.
| Demographic | Dimmitt | Mount juliet |
|---|---|---|
| Black | 1 | 7 |
| White | -5 | 79 |
| Asian | 1 | 4 |
| Hispanic | 76 | 6 |
| Two or More Races | 26 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Dimmitt vs Mount juliet
- In Mount juliet, the percentage of Black residents is higher at 7% compared to 1% in Dimmitt.
- The percentage of White residents is higher in Mount juliet at 79% compared to -5% in Dimmitt.
- In Mount juliet, the Asian population stands at 4%, greater than 1% in Dimmitt.
- The Hispanic community is larger in Dimmitt at 76% compared to 6% in Mount juliet.
- More residents identify as two or more races in Dimmitt at 26% compared to 4% in Mount juliet.
- A greater percentage of American Indian residents live in Dimmitt at 1% compared to 0% in Mount juliet.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dimmitt | Mount juliet |
|---|---|---|
| Mental Health Not Good | 16.9% | 16.0% |
| Physical Health Not Good | 13.2% | 10.0% |
| Depression | 21.6% | 25.7% |
| Smoking | 16.5% | 15.2% |
| Binge Drinking | 17.5% | 16.8% |
| Obesity | 38.5% | 29.9% |
| Disability Percentage | 12.0% | 7.0% |
Health Statistics Comparison: Dimmitt vs Mount juliet
- More residents in Dimmitt report poor mental health at 16.9% compared to 16.0% in Mount juliet.
- Higher depression rates are seen in Mount juliet at 25.7% versus 21.6% in Dimmitt.
- Smoking is more prevalent in Dimmitt at 16.5% compared to 15.2% in Mount juliet.
- Binge drinking is more common in Dimmitt at 17.5% compared to 16.8% in Mount juliet.
- Obesity rates are higher in Dimmitt at 38.5% compared to 29.9% in Mount juliet.
- Disability percentages are higher in Dimmitt at 12.0% compared to 7.0% in Mount juliet.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dimmitt | Mount juliet |
|---|---|---|
| No Schooling | 1.1% (45) | 0.4% (173) |
| High School Diploma | 15.7% (647) | 10.4% (4,408) |
| Less than High School | 27.0% (1,112) | 3.9% (1,653) |
| Bachelor's Degree and Higher | 13.9% (571) | 29.4% (12,510) |
Education Levels Comparison: Dimmitt vs Mount juliet
- A higher percentage of residents in Dimmitt have no formal schooling at 1.1% compared to 0.4% in Mount juliet.
- A higher percentage of residents in Dimmitt hold a high school diploma at 15.7% compared to 10.4% in Mount juliet.
- More residents in Dimmitt have less than a high school education at 27.0% compared to 3.9% in Mount juliet.
- In Mount juliet, a larger share of residents have a bachelor's degree or higher at 29.4% compared to 13.9% in Dimmitt.
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.