Demographics details for Carrollton, TX vs Anaconda, MT
Population Overview
Compare main population characteristics in Carrollton, TX vs Anaconda, MT.
| Data | Carrollton | Anaconda |
|---|---|---|
| Population | 133,820 | 9,510 |
| Median Age | 38.6 years | 49.6 years |
| Median Income | $95,380 | $46,436 |
| Married Families | 44.0% | 38.0% |
| Poverty Level | 9% | 11% |
| Unemployment Rate | 3.7 | 3.0 |
Population Comparison: Carrollton vs Anaconda
- In Carrollton, the population is higher at 133,820, compared to 9,510 in Anaconda.
- The median age in Anaconda is higher at 49.6 years, compared to 38.6 years in Carrollton.
- Carrollton has a higher median income of $95,380 compared to $46,436 in Anaconda.
- A higher percentage of married families is found in Carrollton at 44.0% compared to 38.0% in Anaconda.
- The poverty level is higher in Anaconda at 11%, compared to 9% in Carrollton.
- The unemployment rate in Carrollton is higher at 3.7%, compared to 3.0% in Anaconda.
Demographics
Demographics Carrollton vs Anaconda provide insight into the diversity of the communities to compare.
| Demographic | Carrollton | Anaconda |
|---|---|---|
| Black | 10 | 1 |
| White | 31 | 87 |
| Asian | 15 | Data is updating |
| Hispanic | 32 | 4 |
| Two or More Races | 12 | 6 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Carrollton vs Anaconda
- A higher percentage of Black residents are in Carrollton at 10% compared to 1% in Anaconda.
- The percentage of White residents is higher in Anaconda at 87% compared to 31% in Carrollton.
- The Asian population is larger in Carrollton at 15% compared to 0% in Anaconda.
- The Hispanic community is larger in Carrollton at 32% compared to 4% in Anaconda.
- More residents identify as two or more races in Carrollton at 12% compared to 6% in Anaconda.
- In Anaconda, the percentage of American Indian residents is higher at 2%, compared to 0% in Carrollton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Carrollton | Anaconda |
|---|---|---|
| Mental Health Not Good | 15.1% | 17.4% |
| Physical Health Not Good | 10.1% | 12.7% |
| Depression | 20.9% | 24.1% |
| Smoking | 13.5% | 21.1% |
| Binge Drinking | 17.7% | 21.8% |
| Obesity | 31.5% | 36.3% |
| Disability Percentage | 7.0% | 23.0% |
Health Statistics Comparison: Carrollton vs Anaconda
- In Anaconda, a higher percentage report poor mental health at 17.4% compared to 15.1% in Carrollton.
- Higher depression rates are seen in Anaconda at 24.1% versus 20.9% in Carrollton.
- Anaconda has a higher smoking rate at 21.1% compared to 13.5% in Carrollton.
- More residents engage in binge drinking in Anaconda at 21.8% compared to 17.7% in Carrollton.
- Anaconda has higher obesity rates at 36.3% compared to 31.5% in Carrollton.
- There is a higher percentage of disabled individuals in Anaconda at 23.0% compared to 7.0% in Carrollton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Carrollton | Anaconda |
|---|---|---|
| No Schooling | 1.6% (2,169) | 1.6% (153) |
| High School Diploma | 12.3% (16,432) | 25.3% (2,409) |
| Less than High School | 13.2% (17,673) | 14.6% (1,384) |
| Bachelor's Degree and Higher | 29.8% (39,921) | 15.7% (1,494) |
Education Levels Comparison: Carrollton vs Anaconda
- The percentage of residents with no formal schooling is the same in both Carrollton and Anaconda at 1.6%.
- In Anaconda, the rate of residents with high school diplomas is higher at 25.3% compared to 12.3% in Carrollton.
- The percentage of residents with less than a high school education is higher in Anaconda at 14.6%, compared to 13.2% in Carrollton.
- A higher percentage of residents in Carrollton hold a bachelor's degree or higher at 29.8% compared to 15.7% in Anaconda.
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.