Demographics details for Fayetteville, NC vs Pine, AZ
Population Overview
Compare main population characteristics in Fayetteville, NC vs Pine, AZ.
| Data | Fayetteville | Pine |
|---|---|---|
| Population | 208,873 | 1,526 |
| Median Age | 30.5 years | 68.7 years |
| Median Income | $53,424 | $54,720 |
| Married Families | 33.0% | 64.0% |
| Poverty Level | 14% | 10% |
| Unemployment Rate | 5.9 | 4.2 |
Population Comparison: Fayetteville vs Pine
- In Fayetteville, the population is higher at 208,873, compared to 1,526 in Pine.
- The median age in Pine is higher at 68.7 years, compared to 30.5 years in Fayetteville.
- Pine has a higher median income of $54,720, compared to $53,424 in Fayetteville.
- In Pine, the percentage of married families is higher at 64.0%, compared to 33.0% in Fayetteville.
- Fayetteville has a higher poverty level at 14% compared to 10% in Pine.
- The unemployment rate in Fayetteville is higher at 5.9%, compared to 4.2% in Pine.
Demographics
Demographics Fayetteville vs Pine provide insight into the diversity of the communities to compare.
| Demographic | Fayetteville | Pine |
|---|---|---|
| Black | 42 | Data is updating |
| White | 31 | 96 |
| Asian | 3 | Data is updating |
| Hispanic | 13 | 4 |
| Two or More Races | 10 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Fayetteville vs Pine
- A higher percentage of Black residents are in Fayetteville at 42% compared to 0% in Pine.
- The percentage of White residents is higher in Pine at 96% compared to 31% in Fayetteville.
- The Asian population is larger in Fayetteville at 3% compared to 0% in Pine.
- The Hispanic community is larger in Fayetteville at 13% compared to 4% in Pine.
- More residents identify as two or more races in Fayetteville at 10% compared to 0% in Pine.
- A greater percentage of American Indian residents live in Fayetteville at 1% compared to 0% in Pine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fayetteville | Pine |
|---|---|---|
| Mental Health Not Good | 17.3% | 16.5% |
| Physical Health Not Good | 12.1% | 9.8% |
| Depression | 24.0% | 20.3% |
| Smoking | 17.6% | 15.0% |
| Binge Drinking | 16.6% | 21.2% |
| Obesity | 40.7% | 31.2% |
| Disability Percentage | 14.0% | 36.0% |
Health Statistics Comparison: Fayetteville vs Pine
- More residents in Fayetteville report poor mental health at 17.3% compared to 16.5% in Pine.
- Depression is more prevalent in Fayetteville at 24.0% compared to 20.3% in Pine.
- Smoking is more prevalent in Fayetteville at 17.6% compared to 15.0% in Pine.
- More residents engage in binge drinking in Pine at 21.2% compared to 16.6% in Fayetteville.
- Obesity rates are higher in Fayetteville at 40.7% compared to 31.2% in Pine.
- There is a higher percentage of disabled individuals in Pine at 36.0% compared to 14.0% in Fayetteville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fayetteville | Pine |
|---|---|---|
| No Schooling | 0.6% (1,184) | 0.0% (Data is updating) |
| High School Diploma | 13.7% (28,602) | 21.5% (328) |
| Less than High School | 6.1% (12,639) | 3.8% (58) |
| Bachelor's Degree and Higher | 17.6% (36,676) | 26.6% (406) |
Education Levels Comparison: Fayetteville vs Pine
- A higher percentage of residents in Fayetteville have no formal schooling at 0.6% compared to 0.0% in Pine.
- In Pine, the rate of residents with high school diplomas is higher at 21.5% compared to 13.7% in Fayetteville.
- More residents in Fayetteville have less than a high school education at 6.1% compared to 3.8% in Pine.
- In Pine, a larger share of residents have a bachelor's degree or higher at 26.6% compared to 17.6% in Fayetteville.
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.