Demographics details for Redmond, WA vs Franklin, VT
Population Overview
Compare main population characteristics in Redmond, WA vs Franklin, VT.
Data | Redmond | Franklin |
---|---|---|
Population | 76,732 | 50,731 |
Median Age | 34.7 years | 40.6 years |
Median Income | $155,287 | $73,633 |
Married Families | 45.0% | 42.0% |
Poverty Level | 6% | 7% |
Unemployment Rate | 4.1 | 1.9 |
Population Comparison: Redmond vs Franklin
- In Redmond, the population is higher at 76,732, compared to 50,731 in Franklin.
- The median age in Franklin is higher at 40.6 years, compared to 34.7 years in Redmond.
- Redmond has a higher median income of $155,287 compared to $73,633 in Franklin.
- A higher percentage of married families is found in Redmond at 45.0% compared to 42.0% in Franklin.
- The poverty level is higher in Franklin at 7%, compared to 6% in Redmond.
- The unemployment rate in Redmond is higher at 4.1%, compared to 1.9% in Franklin.
Demographics
Demographics Redmond vs Franklin provide insight into the diversity of the communities to compare.
Demographic | Redmond | Franklin |
---|---|---|
Black | 2 | Data is updating |
White | 47 | 91 |
Asian | 37 | 1 |
Hispanic | 7 | 2 |
Two or More Races | 6 | 5 |
American Indian | 1 | 1 |
Demographics Comparison: Redmond vs Franklin
- A higher percentage of Black residents are in Redmond at 2% compared to 0% in Franklin.
- The percentage of White residents is higher in Franklin at 91% compared to 47% in Redmond.
- The Asian population is larger in Redmond at 37% compared to 1% in Franklin.
- The Hispanic community is larger in Redmond at 7% compared to 2% in Franklin.
- More residents identify as two or more races in Redmond at 6% compared to 5% in Franklin.
- The percentage of American Indian residents is the same in both Redmond and Franklin at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Redmond | Franklin |
---|---|---|
Mental Health Not Good | 13.0% | 16.2% |
Physical Health Not Good | 7.0% | 9.8% |
Depression | 21.3% | 26.6% |
Smoking | 6.5% | 17.9% |
Binge Drinking | 17.5% | 19.8% |
Obesity | 20.5% | 33.0% |
Disability Percentage | 7.0% | 13.0% |
Health Statistics Comparison: Redmond vs Franklin
- In Franklin, a higher percentage report poor mental health at 16.2% compared to 13.0% in Redmond.
- Higher depression rates are seen in Franklin at 26.6% versus 21.3% in Redmond.
- Franklin has a higher smoking rate at 17.9% compared to 6.5% in Redmond.
- More residents engage in binge drinking in Franklin at 19.8% compared to 17.5% in Redmond.
- Franklin has higher obesity rates at 33.0% compared to 20.5% in Redmond.
- There is a higher percentage of disabled individuals in Franklin at 13.0% compared to 7.0% in Redmond.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Redmond | Franklin |
---|---|---|
No Schooling | 0.2% (117) | 0.3% (150) |
High School Diploma | 4.0% (3,057) | 23.1% (11,696) |
Less than High School | 3.0% (2,265) | 11.0% (5,575) |
Bachelor's Degree and Higher | 49.8% (38,194) | 19.1% (9,676) |
Education Levels Comparison: Redmond vs Franklin
- In Franklin, a larger percentage of residents lack formal schooling at 0.3% compared to 0.2% in Redmond.
- In Franklin, the rate of residents with high school diplomas is higher at 23.1% compared to 4.0% in Redmond.
- The percentage of residents with less than a high school education is higher in Franklin at 11.0%, compared to 3.0% in Redmond.
- A higher percentage of residents in Redmond hold a bachelor's degree or higher at 49.8% compared to 19.1% in Franklin.
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.