Demographics details for Albany, OR vs Water valley, MS
Population Overview
Compare main population characteristics in Albany, OR vs Water valley, MS.
Data | Albany | Water valley |
---|---|---|
Population | 56,891 | 3,361 |
Median Age | 36.5 years | 35.8 years |
Median Income | $69,777 | $45,718 |
Married Families | 39.0% | 27.0% |
Poverty Level | 9% | Data is updating |
Unemployment Rate | 4.2 | 4.3 |
Population Comparison: Albany vs Water valley
- In Albany, the population is higher at 56,891, compared to 3,361 in Water valley.
- Residents in Albany have a higher median age of 36.5 years compared to 35.8 years in Water valley.
- Albany has a higher median income of $69,777 compared to $45,718 in Water valley.
- A higher percentage of married families is found in Albany at 39.0% compared to 27.0% in Water valley.
- Albany has a higher poverty level at 9% compared to 0% in Water valley.
- Water valley has a higher unemployment rate at 4.3% compared to 4.2% in Albany.
Demographics
Demographics Albany vs Water valley provide insight into the diversity of the communities to compare.
Demographic | Albany | Water valley |
---|---|---|
Black | Data is updating | 49 |
White | 74 | 49 |
Asian | 2 | Data is updating |
Hispanic | 14 | 2 |
Two or More Races | 9 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Albany vs Water valley
- In Water valley, the percentage of Black residents is higher at 49% compared to 0% in Albany.
- Albany has a higher percentage of White residents at 74% compared to 49% in Water valley.
- The Asian population is larger in Albany at 2% compared to 0% in Water valley.
- The Hispanic community is larger in Albany at 14% compared to 2% in Water valley.
- More residents identify as two or more races in Albany at 9% compared to 0% in Water valley.
- A greater percentage of American Indian residents live in Albany at 1% compared to 0% in Water valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Albany | Water valley |
---|---|---|
Mental Health Not Good | 18.0% | 18.2% |
Physical Health Not Good | 11.0% | 13.8% |
Depression | 27.2% | 22.0% |
Smoking | 14.1% | 23.1% |
Binge Drinking | 17.0% | 12.9% |
Obesity | 35.5% | 44.0% |
Disability Percentage | 15.0% | 14.0% |
Health Statistics Comparison: Albany vs Water valley
- In Water valley, a higher percentage report poor mental health at 18.2% compared to 18.0% in Albany.
- Depression is more prevalent in Albany at 27.2% compared to 22.0% in Water valley.
- Water valley has a higher smoking rate at 23.1% compared to 14.1% in Albany.
- Binge drinking is more common in Albany at 17.0% compared to 12.9% in Water valley.
- Water valley has higher obesity rates at 44.0% compared to 35.5% in Albany.
- Disability percentages are higher in Albany at 15.0% compared to 14.0% in Water valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Albany | Water valley |
---|---|---|
No Schooling | 0.4% (212) | 1.0% (34) |
High School Diploma | 12.4% (7,049) | 24.0% (805) |
Less than High School | 9.2% (5,244) | 13.0% (437) |
Bachelor's Degree and Higher | 18.7% (10,614) | 9.6% (322) |
Education Levels Comparison: Albany vs Water valley
- In Water valley, a larger percentage of residents lack formal schooling at 1.0% compared to 0.4% in Albany.
- In Water valley, the rate of residents with high school diplomas is higher at 24.0% compared to 12.4% in Albany.
- The percentage of residents with less than a high school education is higher in Water valley at 13.0%, compared to 9.2% in Albany.
- A higher percentage of residents in Albany hold a bachelor's degree or higher at 18.7% compared to 9.6% in Water valley.
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.