Demographics details for Ecru, MS vs Klamath falls, OR
Population Overview
Compare main population characteristics in Ecru, MS vs Klamath falls, OR.
Data | Ecru | Klamath falls |
---|---|---|
Population | 919 | 21,977 |
Median Age | 24.8 years | 35.1 years |
Median Income | $52,350 | $46,695 |
Married Families | 49.0% | 31.0% |
Poverty Level | 16% | 18% |
Unemployment Rate | 5.0 | 5.2 |
Population Comparison: Ecru vs Klamath falls
- The population in Klamath falls is higher at 21,977, compared to 919 in Ecru.
- The median age in Klamath falls is higher at 35.1 years, compared to 24.8 years in Ecru.
- Ecru has a higher median income of $52,350 compared to $46,695 in Klamath falls.
- A higher percentage of married families is found in Ecru at 49.0% compared to 31.0% in Klamath falls.
- The poverty level is higher in Klamath falls at 18%, compared to 16% in Ecru.
- Klamath falls has a higher unemployment rate at 5.2% compared to 5.0% in Ecru.
Demographics
Demographics Ecru vs Klamath falls provide insight into the diversity of the communities to compare.
Demographic | Ecru | Klamath falls |
---|---|---|
Black | 44 | 1 |
White | 25 | 69 |
Asian | Data is updating | 1 |
Hispanic | 23 | 15 |
Two or More Races | 8 | 11 |
American Indian | Data is updating | 3 |
Demographics Comparison: Ecru vs Klamath falls
- A higher percentage of Black residents are in Ecru at 44% compared to 1% in Klamath falls.
- The percentage of White residents is higher in Klamath falls at 69% compared to 25% in Ecru.
- In Klamath falls, the Asian population stands at 1%, greater than 0% in Ecru.
- The Hispanic community is larger in Ecru at 23% compared to 15% in Klamath falls.
- The percentage of residents identifying as two or more races is higher in Klamath falls at 11%, compared to 8% in Ecru.
- In Klamath falls, the percentage of American Indian residents is higher at 3%, compared to 0% in Ecru.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ecru | Klamath falls |
---|---|---|
Mental Health Not Good | 19.2% | 20.2% |
Physical Health Not Good | 15.2% | 13.4% |
Depression | 25.1% | 28.4% |
Smoking | 25.0% | 19.9% |
Binge Drinking | 14.6% | 15.8% |
Obesity | 39.5% | 35.9% |
Disability Percentage | 18.0% | 20.0% |
Health Statistics Comparison: Ecru vs Klamath falls
- In Klamath falls, a higher percentage report poor mental health at 20.2% compared to 19.2% in Ecru.
- Higher depression rates are seen in Klamath falls at 28.4% versus 25.1% in Ecru.
- Smoking is more prevalent in Ecru at 25.0% compared to 19.9% in Klamath falls.
- More residents engage in binge drinking in Klamath falls at 15.8% compared to 14.6% in Ecru.
- Obesity rates are higher in Ecru at 39.5% compared to 35.9% in Klamath falls.
- There is a higher percentage of disabled individuals in Klamath falls at 20.0% compared to 18.0% in Ecru.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ecru | Klamath falls |
---|---|---|
No Schooling | 2.2% (20) | 0.9% (192) |
High School Diploma | 15.5% (142) | 16.0% (3,508) |
Less than High School | 31.1% (286) | 15.5% (3,401) |
Bachelor's Degree and Higher | 14.8% (136) | 14.4% (3,175) |
Education Levels Comparison: Ecru vs Klamath falls
- A higher percentage of residents in Ecru have no formal schooling at 2.2% compared to 0.9% in Klamath falls.
- In Klamath falls, the rate of residents with high school diplomas is higher at 16.0% compared to 15.5% in Ecru.
- More residents in Ecru have less than a high school education at 31.1% compared to 15.5% in Klamath falls.
- A higher percentage of residents in Ecru hold a bachelor's degree or higher at 14.8% compared to 14.4% in Klamath falls.
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.