Demographics details for Whiteville, NC vs Moscow, ID
Population Overview
Compare main population characteristics in Whiteville, NC vs Moscow, ID.
Data | Whiteville | Moscow |
---|---|---|
Population | 5,394 | 26,249 |
Median Age | 38.0 years | 24.8 years |
Median Income | $42,000 | $53,679 |
Married Families | 56.0% | 28.0% |
Poverty Level | 20% | 15% |
Unemployment Rate | 5.0 | 4.2 |
Population Comparison: Whiteville vs Moscow
- The population in Moscow is higher at 26,249, compared to 5,394 in Whiteville.
- Residents in Whiteville have a higher median age of 38.0 years compared to 24.8 years in Moscow.
- Moscow has a higher median income of $53,679, compared to $42,000 in Whiteville.
- A higher percentage of married families is found in Whiteville at 56.0% compared to 28.0% in Moscow.
- Whiteville has a higher poverty level at 20% compared to 15% in Moscow.
- The unemployment rate in Whiteville is higher at 5.0%, compared to 4.2% in Moscow.
Demographics
Demographics Whiteville vs Moscow provide insight into the diversity of the communities to compare.
Demographic | Whiteville | Moscow |
---|---|---|
Black | 30 | 2 |
White | 60 | 83 |
Asian | 5 | 3 |
Hispanic | 5 | 5 |
Two or More Races | Data is updating | 6 |
American Indian | Data is updating | 1 |
Demographics Comparison: Whiteville vs Moscow
- A higher percentage of Black residents are in Whiteville at 30% compared to 2% in Moscow.
- The percentage of White residents is higher in Moscow at 83% compared to 60% in Whiteville.
- The Asian population is larger in Whiteville at 5% compared to 3% in Moscow.
- The percentage of Hispanic residents is the same in both Whiteville and Moscow at 5%.
- The percentage of residents identifying as two or more races is higher in Moscow at 6%, compared to 0% in Whiteville.
- In Moscow, the percentage of American Indian residents is higher at 1%, compared to 0% in Whiteville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Whiteville | Moscow |
---|---|---|
Mental Health Not Good | Data is updating% | 15.4% |
Physical Health Not Good | Data is updating% | 10.6% |
Depression | Data is updating% | 24.5% |
Smoking | Data is updating% | 13.6% |
Binge Drinking | Data is updating% | 17.1% |
Obesity | Data is updating% | 31.2% |
Disability Percentage | Data is updating% | 10.0% |
Health Statistics Comparison: Whiteville vs Moscow
- In Moscow, a higher percentage report poor mental health at 15.4% compared to 0.0% in Whiteville.
- Higher depression rates are seen in Moscow at 24.5% versus 0.0% in Whiteville.
- Moscow has a higher smoking rate at 13.6% compared to 0.0% in Whiteville.
- More residents engage in binge drinking in Moscow at 17.1% compared to 0.0% in Whiteville.
- Moscow has higher obesity rates at 31.2% compared to 0.0% in Whiteville.
- There is a higher percentage of disabled individuals in Moscow at 10.0% compared to 0.0% in Whiteville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Whiteville | Moscow |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.3% (80) |
High School Diploma | 0.0% (Data is updating) | 5.7% (1,492) |
Less than High School | 0.0% (Data is updating) | 2.0% (515) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 25.8% (6,776) |
Education Levels Comparison: Whiteville vs Moscow
- In Moscow, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Whiteville.
- In Moscow, the rate of residents with high school diplomas is higher at 5.7% compared to 0.0% in Whiteville.
- The percentage of residents with less than a high school education is higher in Moscow at 2.0%, compared to 0.0% in Whiteville.
- In Moscow, a larger share of residents have a bachelor's degree or higher at 25.8% compared to 0.0% in Whiteville.
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.