Demographics details for Farmington, NM vs Peculiar, MO
Population Overview
Compare main population characteristics in Farmington, NM vs Peculiar, MO.
| Data | Farmington | Peculiar |
|---|---|---|
| Population | 46,127 | 5,958 |
| Median Age | 35.7 years | 36.2 years |
| Median Income | $61,388 | $91,783 |
| Married Families | 34.0% | 34.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Farmington vs Peculiar
- In Farmington, the population is higher at 46,127, compared to 5,958 in Peculiar.
- The median age in Peculiar is higher at 36.2 years, compared to 35.7 years in Farmington.
- Peculiar has a higher median income of $91,783, compared to $61,388 in Farmington.
- The percentage of married families is the same in both Farmington and Peculiar at 34.0%.
- Farmington has a higher poverty level at 10% compared to 0% in Peculiar.
- The unemployment rate in Farmington is higher at 5.2%, compared to 3.5% in Peculiar.
Demographics
Demographics Farmington vs Peculiar provide insight into the diversity of the communities to compare.
| Demographic | Farmington | Peculiar |
|---|---|---|
| Black | 1 | 3 |
| White | 32 | 83 |
| Asian | 1 | Data is updating |
| Hispanic | 26 | 7 |
| Two or More Races | 11 | 7 |
| American Indian | 29 | Data is updating |
Demographics Comparison: Farmington vs Peculiar
- In Peculiar, the percentage of Black residents is higher at 3% compared to 1% in Farmington.
- The percentage of White residents is higher in Peculiar at 83% compared to 32% in Farmington.
- The Asian population is larger in Farmington at 1% compared to 0% in Peculiar.
- The Hispanic community is larger in Farmington at 26% compared to 7% in Peculiar.
- More residents identify as two or more races in Farmington at 11% compared to 7% in Peculiar.
- A greater percentage of American Indian residents live in Farmington at 29% compared to 0% in Peculiar.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Farmington | Peculiar |
|---|---|---|
| Mental Health Not Good | 17.6% | 16.9% |
| Physical Health Not Good | 12.7% | 10.9% |
| Depression | 20.1% | 24.1% |
| Smoking | 18.2% | 18.3% |
| Binge Drinking | 13.5% | 18.0% |
| Obesity | 34.4% | 37.0% |
| Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Farmington vs Peculiar
- More residents in Farmington report poor mental health at 17.6% compared to 16.9% in Peculiar.
- Higher depression rates are seen in Peculiar at 24.1% versus 20.1% in Farmington.
- Peculiar has a higher smoking rate at 18.3% compared to 18.2% in Farmington.
- More residents engage in binge drinking in Peculiar at 18.0% compared to 13.5% in Farmington.
- Peculiar has higher obesity rates at 37.0% compared to 34.4% in Farmington.
- Disability percentages are the same in both Farmington and Peculiar at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Farmington | Peculiar |
|---|---|---|
| No Schooling | 0.5% (211) | 0.0% (Data is updating) |
| High School Diploma | 13.4% (6,180) | 13.2% (785) |
| Less than High School | 12.9% (5,929) | 9.9% (591) |
| Bachelor's Degree and Higher | 13.0% (5,985) | 13.2% (787) |
Education Levels Comparison: Farmington vs Peculiar
- A higher percentage of residents in Farmington have no formal schooling at 0.5% compared to 0.0% in Peculiar.
- A higher percentage of residents in Farmington hold a high school diploma at 13.4% compared to 13.2% in Peculiar.
- More residents in Farmington have less than a high school education at 12.9% compared to 9.9% in Peculiar.
- In Peculiar, a larger share of residents have a bachelor's degree or higher at 13.2% compared to 13.0% in Farmington.
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.