Demographics details for Parnell, MO vs Walnut bottom, PA

Population Overview

Compare main population characteristics in Parnell, MO vs Walnut bottom, PA.

Data Parnell Walnut bottom
Population 134 422
Median Age 31.5 years 37.0 years
Median Income $38,393 $55,000
Married Families 51.0% 50.0%
Poverty Level 10% 10%
Unemployment Rate 3.2 4.5

Population Comparison: Parnell vs Walnut bottom

  • The population in Walnut bottom is higher at 422, compared to 134 in Parnell.
  • The median age in Walnut bottom is higher at 37.0 years, compared to 31.5 years in Parnell.
  • Walnut bottom has a higher median income of $55,000, compared to $38,393 in Parnell.
  • A higher percentage of married families is found in Parnell at 51.0% compared to 50.0% in Walnut bottom.
  • The poverty level is identical in both Parnell and Walnut bottom at 10%.
  • Walnut bottom has a higher unemployment rate at 4.5% compared to 3.2% in Parnell.

Demographics

Demographics Parnell vs Walnut bottom provide insight into the diversity of the communities to compare.

Demographic Parnell Walnut bottom
Black Data is updating 1
White 69 98
Asian 1 Data is updating
Hispanic 9 1
Two or More Races 21 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Parnell vs Walnut bottom

  • In Walnut bottom, the percentage of Black residents is higher at 1% compared to 0% in Parnell.
  • The percentage of White residents is higher in Walnut bottom at 98% compared to 69% in Parnell.
  • The Asian population is larger in Parnell at 1% compared to 0% in Walnut bottom.
  • The Hispanic community is larger in Parnell at 9% compared to 1% in Walnut bottom.
  • More residents identify as two or more races in Parnell at 21% compared to 0% in Walnut bottom.
  • The percentage of American Indian residents is the same in both Parnell and Walnut bottom at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Parnell Walnut bottom
Mental Health Not Good 18.5% Data is updating%
Physical Health Not Good 13.3% Data is updating%
Depression 24.2% Data is updating%
Smoking 22.0% Data is updating%
Binge Drinking 18.2% Data is updating%
Obesity 39.7% Data is updating%
Disability Percentage 24.0% Data is updating%

Health Statistics Comparison: Parnell vs Walnut bottom

  • More residents in Parnell report poor mental health at 18.5% compared to 0.0% in Walnut bottom.
  • Depression is more prevalent in Parnell at 24.2% compared to 0.0% in Walnut bottom.
  • Smoking is more prevalent in Parnell at 22.0% compared to 0.0% in Walnut bottom.
  • Binge drinking is more common in Parnell at 18.2% compared to 0.0% in Walnut bottom.
  • Obesity rates are higher in Parnell at 39.7% compared to 0.0% in Walnut bottom.
  • Disability percentages are higher in Parnell at 24.0% compared to 0.0% in Walnut bottom.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Parnell Walnut bottom
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 46.3% (62) 0.0% (Data is updating)
Less than High School 7.5% (10) 0.0% (Data is updating)
Bachelor's Degree and Higher 11.2% (15) 0.0% (Data is updating)

Education Levels Comparison: Parnell vs Walnut bottom

  • The percentage of residents with no formal schooling is the same in both Parnell and Walnut bottom at 0.0%.
  • A higher percentage of residents in Parnell hold a high school diploma at 46.3% compared to 0.0% in Walnut bottom.
  • More residents in Parnell have less than a high school education at 7.5% compared to 0.0% in Walnut bottom.
  • A higher percentage of residents in Parnell hold a bachelor's degree or higher at 11.2% compared to 0.0% in Walnut bottom.

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.