Demographics details for Hickory, NC vs New milford, CT
Population Overview
Compare main population characteristics in Hickory, NC vs New milford, CT.
| Data | Hickory | New milford |
|---|---|---|
| Population | 44,084 | 7,095 |
| Median Age | 37.9 years | 41.0 years |
| Median Income | $58,251 | $70,625 |
| Married Families | 35.0% | 38.0% |
| Poverty Level | 12% | 7% |
| Unemployment Rate | 4.3 | 3.5 |
Population Comparison: Hickory vs New milford
- In Hickory, the population is higher at 44,084, compared to 7,095 in New milford.
- The median age in New milford is higher at 41.0 years, compared to 37.9 years in Hickory.
- New milford has a higher median income of $70,625, compared to $58,251 in Hickory.
- In New milford, the percentage of married families is higher at 38.0%, compared to 35.0% in Hickory.
- Hickory has a higher poverty level at 12% compared to 7% in New milford.
- The unemployment rate in Hickory is higher at 4.3%, compared to 3.5% in New milford.
Demographics
Demographics Hickory vs New milford provide insight into the diversity of the communities to compare.
| Demographic | Hickory | New milford |
|---|---|---|
| Black | 13 | 4 |
| White | 62 | 76 |
| Asian | 4 | 4 |
| Hispanic | 13 | 10 |
| Two or More Races | 7 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Hickory vs New milford
- A higher percentage of Black residents are in Hickory at 13% compared to 4% in New milford.
- The percentage of White residents is higher in New milford at 76% compared to 62% in Hickory.
- Both Hickory and New milford have the same percentage of Asian residents at 4%.
- The Hispanic community is larger in Hickory at 13% compared to 10% in New milford.
- More residents identify as two or more races in Hickory at 7% compared to 6% in New milford.
- A greater percentage of American Indian residents live in Hickory at 1% compared to 0% in New milford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hickory | New milford |
|---|---|---|
| Mental Health Not Good | 17.1% | 14.8% |
| Physical Health Not Good | 12.3% | 9.2% |
| Depression | 24.8% | 22.1% |
| Smoking | 18.1% | 13.2% |
| Binge Drinking | 17.2% | 17.1% |
| Obesity | 37.7% | 27.2% |
| Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Hickory vs New milford
- More residents in Hickory report poor mental health at 17.1% compared to 14.8% in New milford.
- Depression is more prevalent in Hickory at 24.8% compared to 22.1% in New milford.
- Smoking is more prevalent in Hickory at 18.1% compared to 13.2% in New milford.
- Binge drinking is more common in Hickory at 17.2% compared to 17.1% in New milford.
- Obesity rates are higher in Hickory at 37.7% compared to 27.2% in New milford.
- Disability percentages are higher in Hickory at 12.0% 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 | Hickory | New milford |
|---|---|---|
| No Schooling | 0.7% (306) | 0.0% (Data is updating) |
| High School Diploma | 13.1% (5,797) | 21.6% (1,531) |
| Less than High School | 11.4% (5,022) | 10.0% (710) |
| Bachelor's Degree and Higher | 24.0% (10,580) | 23.4% (1,658) |
Education Levels Comparison: Hickory vs New milford
- A higher percentage of residents in Hickory have no formal schooling at 0.7% compared to 0.0% in New milford.
- In New milford, the rate of residents with high school diplomas is higher at 21.6% compared to 13.1% in Hickory.
- More residents in Hickory have less than a high school education at 11.4% compared to 10.0% in New milford.
- A higher percentage of residents in Hickory hold a bachelor's degree or higher at 24.0% 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.