Demographics details for Columbia, MO vs Gilford, NH
Population Overview
Compare main population characteristics in Columbia, MO vs Gilford, NH.
| Data | Columbia | Gilford |
|---|---|---|
| Population | 128,555 | 7,194 |
| Median Age | 28.8 years | 47.5 years |
| Median Income | $60,455 | $75,964 |
| Married Families | 32.0% | 0.6% |
| Poverty Level | 19% | 6% |
| Unemployment Rate | 3.8 | 2.2 |
Population Comparison: Columbia vs Gilford
- In Columbia, the population is higher at 128,555, compared to 7,194 in Gilford.
- The median age in Gilford is higher at 47.5 years, compared to 28.8 years in Columbia.
- Gilford has a higher median income of $75,964, compared to $60,455 in Columbia.
- A higher percentage of married families is found in Columbia at 32.0% compared to 0.6% in Gilford.
- Columbia has a higher poverty level at 19% compared to 6% in Gilford.
- The unemployment rate in Columbia is higher at 3.8%, compared to 2.2% in Gilford.
Demographics
Demographics Columbia vs Gilford provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Gilford |
|---|---|---|
| Black | 11 | 0.5 |
| White | 73 | 96.2 |
| Asian | 6 | 0.7 |
| Hispanic | 4 | 1.6 |
| Two or More Races | 6 | 1.0 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Gilford
- A higher percentage of Black residents are in Columbia at 11% compared to 0.5% in Gilford.
- The percentage of White residents is higher in Gilford at 96.2% compared to 73% in Columbia.
- The Asian population is larger in Columbia at 6% compared to 0.7% in Gilford.
- The Hispanic community is larger in Columbia at 4% compared to 1.6% in Gilford.
- More residents identify as two or more races in Columbia at 6% compared to 1.0% in Gilford.
- The percentage of American Indian residents is the same in both Columbia and Gilford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Gilford |
|---|---|---|
| Mental Health Not Good | 16.7% | Data is updating% |
| Physical Health Not Good | 11.4% | Data is updating% |
| Depression | 25.3% | Data is updating% |
| Smoking | 16.3% | Data is updating% |
| Binge Drinking | 17.7% | Data is updating% |
| Obesity | 33.5% | Data is updating% |
| Disability Percentage | 11.0% | Data is updating% |
Health Statistics Comparison: Columbia vs Gilford
- More residents in Columbia report poor mental health at 16.7% compared to 0.0% in Gilford.
- Depression is more prevalent in Columbia at 25.3% compared to 0.0% in Gilford.
- Smoking is more prevalent in Columbia at 16.3% compared to 0.0% in Gilford.
- Binge drinking is more common in Columbia at 17.7% compared to 0.0% in Gilford.
- Obesity rates are higher in Columbia at 33.5% compared to 0.0% in Gilford.
- Disability percentages are higher in Columbia at 11.0% compared to 0.0% in Gilford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Gilford |
|---|---|---|
| No Schooling | 0.7% (845) | 0.0% (Data is updating) |
| High School Diploma | 7.8% (9,965) | 0.0% (Data is updating) |
| Less than High School | 4.2% (5,383) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 30.5% (39,270) | 0.0% (Data is updating) |
Education Levels Comparison: Columbia vs Gilford
- A higher percentage of residents in Columbia have no formal schooling at 0.7% compared to 0.0% in Gilford.
- A higher percentage of residents in Columbia hold a high school diploma at 7.8% compared to 0.0% in Gilford.
- More residents in Columbia have less than a high school education at 4.2% compared to 0.0% in Gilford.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 30.5% compared to 0.0% in Gilford.
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.