Demographics details for Centralia, WA vs White house, TN
Population Overview
Compare main population characteristics in Centralia, WA vs White house, TN.
| Data | Centralia | White house |
|---|---|---|
| Population | 18,773 | 14,516 |
| Median Age | 38.5 years | 36.5 years |
| Median Income | $50,422 | $85,404 |
| Married Families | 28.0% | 46.0% |
| Poverty Level | 14% | 7% |
| Unemployment Rate | 5.4 | 3.4 |
Population Comparison: Centralia vs White house
- In Centralia, the population is higher at 18,773, compared to 14,516 in White house.
- Residents in Centralia have a higher median age of 38.5 years compared to 36.5 years in White house.
- White house has a higher median income of $85,404, compared to $50,422 in Centralia.
- In White house, the percentage of married families is higher at 46.0%, compared to 28.0% in Centralia.
- Centralia has a higher poverty level at 14% compared to 7% in White house.
- The unemployment rate in Centralia is higher at 5.4%, compared to 3.4% in White house.
Demographics
Demographics Centralia vs White house provide insight into the diversity of the communities to compare.
| Demographic | Centralia | White house |
|---|---|---|
| Black | 1 | 2 |
| White | 70 | 87 |
| Asian | 1 | 1 |
| Hispanic | 17 | 4 |
| Two or More Races | 11 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Centralia vs White house
- In White house, the percentage of Black residents is higher at 2% compared to 1% in Centralia.
- The percentage of White residents is higher in White house at 87% compared to 70% in Centralia.
- Both Centralia and White house have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Centralia at 17% compared to 4% in White house.
- More residents identify as two or more races in Centralia at 11% compared to 6% in White house.
- The percentage of American Indian residents is the same in both Centralia and White house at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Centralia | White house |
|---|---|---|
| Mental Health Not Good | 19.3% | 17.5% |
| Physical Health Not Good | 13.5% | 11.0% |
| Depression | 27.5% | 27.6% |
| Smoking | 19.2% | 17.7% |
| Binge Drinking | 15.9% | 16.7% |
| Obesity | 36.5% | 32.5% |
| Disability Percentage | 19.0% | 11.0% |
Health Statistics Comparison: Centralia vs White house
- More residents in Centralia report poor mental health at 19.3% compared to 17.5% in White house.
- Higher depression rates are seen in White house at 27.6% versus 27.5% in Centralia.
- Smoking is more prevalent in Centralia at 19.2% compared to 17.7% in White house.
- More residents engage in binge drinking in White house at 16.7% compared to 15.9% in Centralia.
- Obesity rates are higher in Centralia at 36.5% compared to 32.5% in White house.
- Disability percentages are higher in Centralia at 19.0% compared to 11.0% in White house.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Centralia | White house |
|---|---|---|
| No Schooling | 1.1% (214) | 0.2% (30) |
| High School Diploma | 17.6% (3,312) | 18.0% (2,617) |
| Less than High School | 19.3% (3,617) | 12.4% (1,794) |
| Bachelor's Degree and Higher | 11.6% (2,187) | 15.4% (2,235) |
Education Levels Comparison: Centralia vs White house
- A higher percentage of residents in Centralia have no formal schooling at 1.1% compared to 0.2% in White house.
- In White house, the rate of residents with high school diplomas is higher at 18.0% compared to 17.6% in Centralia.
- More residents in Centralia have less than a high school education at 19.3% compared to 12.4% in White house.
- In White house, a larger share of residents have a bachelor's degree or higher at 15.4% compared to 11.6% in Centralia.
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.