Demographics details for New milford, CT vs Sitka, AK
Population Overview
Compare main population characteristics in New milford, CT vs Sitka, AK.
| Data | New milford | Sitka |
|---|---|---|
| Population | 7,095 | 8,382 |
| Median Age | 41.0 years | 39.5 years |
| Median Income | $70,625 | $95,261 |
| Married Families | 38.0% | 45.0% |
| Poverty Level | 7% | 8% |
| Unemployment Rate | 3.5 | 3.3 |
Population Comparison: New milford vs Sitka
- The population in Sitka is higher at 8,382, compared to 7,095 in New milford.
- Residents in New milford have a higher median age of 41.0 years compared to 39.5 years in Sitka.
- Sitka has a higher median income of $95,261, compared to $70,625 in New milford.
- In Sitka, the percentage of married families is higher at 45.0%, compared to 38.0% in New milford.
- The poverty level is higher in Sitka at 8%, compared to 7% in New milford.
- The unemployment rate in New milford is higher at 3.5%, compared to 3.3% in Sitka.
Demographics
Demographics New milford vs Sitka provide insight into the diversity of the communities to compare.
| Demographic | New milford | Sitka |
|---|---|---|
| Black | 4 | 1 |
| White | 76 | 57 |
| Asian | 4 | 8 |
| Hispanic | 10 | 7 |
| Two or More Races | 6 | 18 |
| American Indian | Data is updating | 9 |
Demographics Comparison: New milford vs Sitka
- A higher percentage of Black residents are in New milford at 4% compared to 1% in Sitka.
- New milford has a higher percentage of White residents at 76% compared to 57% in Sitka.
- In Sitka, the Asian population stands at 8%, greater than 4% in New milford.
- The Hispanic community is larger in New milford at 10% compared to 7% in Sitka.
- The percentage of residents identifying as two or more races is higher in Sitka at 18%, compared to 6% in New milford.
- In Sitka, the percentage of American Indian residents is higher at 9%, compared to 0% in New milford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New milford | Sitka |
|---|---|---|
| Mental Health Not Good | 14.8% | 14.6% |
| Physical Health Not Good | 9.2% | 10.3% |
| Depression | 22.1% | 18.7% |
| Smoking | 13.2% | 16.4% |
| Binge Drinking | 17.1% | 19.3% |
| Obesity | 27.2% | 31.7% |
| Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: New milford vs Sitka
- More residents in New milford report poor mental health at 14.8% compared to 14.6% in Sitka.
- Depression is more prevalent in New milford at 22.1% compared to 18.7% in Sitka.
- Sitka has a higher smoking rate at 16.4% compared to 13.2% in New milford.
- More residents engage in binge drinking in Sitka at 19.3% compared to 17.1% in New milford.
- Sitka has higher obesity rates at 31.7% compared to 27.2% in New milford.
- There is a higher percentage of disabled individuals in Sitka at 13.0% compared to 10.0% in New milford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New milford | Sitka |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (33) |
| High School Diploma | 21.6% (1,531) | 16.7% (1,396) |
| Less than High School | 10.0% (710) | 5.8% (486) |
| Bachelor's Degree and Higher | 23.4% (1,658) | 24.8% (2,076) |
Education Levels Comparison: New milford vs Sitka
- In Sitka, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in New milford.
- A higher percentage of residents in New milford hold a high school diploma at 21.6% compared to 16.7% in Sitka.
- More residents in New milford have less than a high school education at 10.0% compared to 5.8% in Sitka.
- In Sitka, a larger share of residents have a bachelor's degree or higher at 24.8% compared to 23.4% in New milford.
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.