Demographics details for Central city, KY vs South paris, ME

Population Overview

Compare main population characteristics in Central city, KY vs South paris, ME.

Data Central city South paris
Population 5,810 2,208
Median Age 33.5 years 39.5 years
Median Income $52,184 $42,321
Married Families 38.0% 30.0%
Poverty Level 16% 13%
Unemployment Rate 3.5 3.5

Population Comparison: Central city vs South paris

  • In Central city, the population is higher at 5,810, compared to 2,208 in South paris.
  • The median age in South paris is higher at 39.5 years, compared to 33.5 years in Central city.
  • Central city has a higher median income of $52,184 compared to $42,321 in South paris.
  • A higher percentage of married families is found in Central city at 38.0% compared to 30.0% in South paris.
  • Central city has a higher poverty level at 16% compared to 13% in South paris.
  • The unemployment rate is the same in both Central city and South paris at 3.5%.

Demographics

Demographics Central city vs South paris provide insight into the diversity of the communities to compare.

Demographic Central city South paris
Black 3 Data is updating
White 88 97
Asian Data is updating Data is updating
Hispanic 2 3
Two or More Races 6 Data is updating
American Indian 1 Data is updating

Demographics Comparison: Central city vs South paris

  • A higher percentage of Black residents are in Central city at 3% compared to 0% in South paris.
  • The percentage of White residents is higher in South paris at 97% compared to 88% in Central city.
  • Both Central city and South paris have the same percentage of Asian residents at 0%.
  • South paris has a higher percentage of Hispanic residents at 3%, compared to 2% in Central city.
  • More residents identify as two or more races in Central city at 6% compared to 0% in South paris.
  • A greater percentage of American Indian residents live in Central city at 1% compared to 0% in South paris.

Health Statistics

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

Health Metric Central city South paris
Mental Health Not Good 19.3% 18.7%
Physical Health Not Good 15.5% 11.4%
Depression 26.8% 26.9%
Smoking 24.8% 20.1%
Binge Drinking 14.8% 18.1%
Obesity 41.9% 33.9%
Disability Percentage 15.0% 22.0%

Health Statistics Comparison: Central city vs South paris

  • More residents in Central city report poor mental health at 19.3% compared to 18.7% in South paris.
  • Higher depression rates are seen in South paris at 26.9% versus 26.8% in Central city.
  • Smoking is more prevalent in Central city at 24.8% compared to 20.1% in South paris.
  • More residents engage in binge drinking in South paris at 18.1% compared to 14.8% in Central city.
  • Obesity rates are higher in Central city at 41.9% compared to 33.9% in South paris.
  • There is a higher percentage of disabled individuals in South paris at 22.0% compared to 15.0% in Central city.

Education Levels

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

Education Level Central city South paris
No Schooling 1.1% (65) 0.2% (5)
High School Diploma 15.4% (897) 25.2% (557)
Less than High School 15.6% (905) 2.4% (54)
Bachelor's Degree and Higher 8.3% (480) 9.6% (213)

Education Levels Comparison: Central city vs South paris

  • A higher percentage of residents in Central city have no formal schooling at 1.1% compared to 0.2% in South paris.
  • In South paris, the rate of residents with high school diplomas is higher at 25.2% compared to 15.4% in Central city.
  • More residents in Central city have less than a high school education at 15.6% compared to 2.4% in South paris.
  • In South paris, a larger share of residents have a bachelor's degree or higher at 9.6% compared to 8.3% in Central city.

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.