Demographics details for Ridgefield, CT vs Buda, TX
Population Overview
Compare main population characteristics in Ridgefield, CT vs Buda, TX.
Data | Ridgefield | Buda |
---|---|---|
Population | 24,638 | 16,086 |
Median Age | Data is updating | 36.8 years |
Median Income | $Data is updating | $105,378 |
Married Families | Data is updating | 44.0% |
Poverty Level | Data is updating | 5% |
Unemployment Rate | 2.5 | 3.2 |
Population Comparison: Ridgefield vs Buda
- In Ridgefield, the population is higher at 24,638, compared to 16,086 in Buda.
- The median age in Buda is higher at 36.8 years, compared to 0.0 years in Ridgefield.
- Buda has a higher median income of $105,378, compared to $0 in Ridgefield.
- In Buda, the percentage of married families is higher at 44.0%, compared to 0.0% in Ridgefield.
- The poverty level is higher in Buda at 5%, compared to 0% in Ridgefield.
- Buda has a higher unemployment rate at 3.2% compared to 2.5% in Ridgefield.
Demographics
Demographics Ridgefield vs Buda provide insight into the diversity of the communities to compare.
Demographic | Ridgefield | Buda |
---|---|---|
Black | Data is updating | 1 |
White | 100 | 59 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 30 |
Two or More Races | Data is updating | 10 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Ridgefield vs Buda
- In Buda, the percentage of Black residents is higher at 1% compared to 0% in Ridgefield.
- Ridgefield has a higher percentage of White residents at 100% compared to 59% in Buda.
- Both Ridgefield and Buda have the same percentage of Asian residents at 0%.
- Buda has a higher percentage of Hispanic residents at 30%, compared to 0% in Ridgefield.
- The percentage of residents identifying as two or more races is higher in Buda at 10%, compared to 0% in Ridgefield.
- The percentage of American Indian residents is the same in both Ridgefield and Buda at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ridgefield | Buda |
---|---|---|
Mental Health Not Good | Data is updating% | 14.6% |
Physical Health Not Good | Data is updating% | 8.8% |
Depression | Data is updating% | 20.5% |
Smoking | Data is updating% | 11.4% |
Binge Drinking | Data is updating% | 20.1% |
Obesity | Data is updating% | 27.5% |
Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: Ridgefield vs Buda
- In Buda, a higher percentage report poor mental health at 14.6% compared to 0.0% in Ridgefield.
- Higher depression rates are seen in Buda at 20.5% versus 0.0% in Ridgefield.
- Buda has a higher smoking rate at 11.4% compared to 0.0% in Ridgefield.
- More residents engage in binge drinking in Buda at 20.1% compared to 0.0% in Ridgefield.
- Buda has higher obesity rates at 27.5% compared to 0.0% in Ridgefield.
- There is a higher percentage of disabled individuals in Buda at 8.0% compared to 0.0% in Ridgefield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ridgefield | Buda |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.3% (49) |
High School Diploma | 0.0% (Data is updating) | 10.4% (1,668) |
Less than High School | 0.0% (Data is updating) | 3.3% (532) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 30.8% (4,960) |
Education Levels Comparison: Ridgefield vs Buda
- In Buda, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Ridgefield.
- In Buda, the rate of residents with high school diplomas is higher at 10.4% compared to 0.0% in Ridgefield.
- The percentage of residents with less than a high school education is higher in Buda at 3.3%, compared to 0.0% in Ridgefield.
- In Buda, a larger share of residents have a bachelor's degree or higher at 30.8% compared to 0.0% in Ridgefield.
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.