Demographics details for Centralia, WA vs Franklin, NE
Population Overview
Compare main population characteristics in Centralia, WA vs Franklin, NE.
Data | Centralia | Franklin |
---|---|---|
Population | 18,773 | 2,873 |
Median Age | 38.5 years | 49.8 years |
Median Income | $50,422 | $55,625 |
Married Families | 28.0% | 51.0% |
Poverty Level | 14% | Data is updating |
Unemployment Rate | 5.4 | 3.2 |
Population Comparison: Centralia vs Franklin
- In Centralia, the population is higher at 18,773, compared to 2,873 in Franklin.
- The median age in Franklin is higher at 49.8 years, compared to 38.5 years in Centralia.
- Franklin has a higher median income of $55,625, compared to $50,422 in Centralia.
- In Franklin, the percentage of married families is higher at 51.0%, compared to 28.0% in Centralia.
- Centralia has a higher poverty level at 14% compared to 0% in Franklin.
- The unemployment rate in Centralia is higher at 5.4%, compared to 3.2% in Franklin.
Demographics
Demographics Centralia vs Franklin provide insight into the diversity of the communities to compare.
Demographic | Centralia | Franklin |
---|---|---|
Black | 1 | Data is updating |
White | 70 | 94 |
Asian | 1 | Data is updating |
Hispanic | 17 | 3 |
Two or More Races | 11 | 2 |
American Indian | Data is updating | 1 |
Demographics Comparison: Centralia vs Franklin
- A higher percentage of Black residents are in Centralia at 1% compared to 0% in Franklin.
- The percentage of White residents is higher in Franklin at 94% compared to 70% in Centralia.
- The Asian population is larger in Centralia at 1% compared to 0% in Franklin.
- The Hispanic community is larger in Centralia at 17% compared to 3% in Franklin.
- More residents identify as two or more races in Centralia at 11% compared to 2% in Franklin.
- In Franklin, the percentage of American Indian residents is higher at 1%, compared to 0% in Centralia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Centralia | Franklin |
---|---|---|
Mental Health Not Good | 19.3% | 15.4% |
Physical Health Not Good | 13.5% | 10.8% |
Depression | 27.5% | 18.5% |
Smoking | 19.2% | 19.6% |
Binge Drinking | 15.9% | 20.2% |
Obesity | 36.5% | 43.8% |
Disability Percentage | 19.0% | 18.0% |
Health Statistics Comparison: Centralia vs Franklin
- More residents in Centralia report poor mental health at 19.3% compared to 15.4% in Franklin.
- Depression is more prevalent in Centralia at 27.5% compared to 18.5% in Franklin.
- Franklin has a higher smoking rate at 19.6% compared to 19.2% in Centralia.
- More residents engage in binge drinking in Franklin at 20.2% compared to 15.9% in Centralia.
- Franklin has higher obesity rates at 43.8% compared to 36.5% in Centralia.
- Disability percentages are higher in Centralia at 19.0% compared to 18.0% in Franklin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Centralia | Franklin |
---|---|---|
No Schooling | 1.1% (214) | 0.2% (6) |
High School Diploma | 17.6% (3,312) | 21.8% (627) |
Less than High School | 19.3% (3,617) | 10.1% (289) |
Bachelor's Degree and Higher | 11.6% (2,187) | 14.5% (416) |
Education Levels Comparison: Centralia vs Franklin
- A higher percentage of residents in Centralia have no formal schooling at 1.1% compared to 0.2% in Franklin.
- In Franklin, the rate of residents with high school diplomas is higher at 21.8% compared to 17.6% in Centralia.
- More residents in Centralia have less than a high school education at 19.3% compared to 10.1% in Franklin.
- In Franklin, a larger share of residents have a bachelor's degree or higher at 14.5% 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.