Demographics details for New philadelphia, OH vs Sidney, IA

Population Overview

Compare main population characteristics in New philadelphia, OH vs Sidney, IA.

Data New philadelphia Sidney
Population 17,437 1,037
Median Age 42.8 years 41.7 years
Median Income $55,590 $64,500
Married Families 38.0% 31.0%
Poverty Level 15% 10%
Unemployment Rate 4.0 3.0

Population Comparison: New philadelphia vs Sidney

  • In New philadelphia, the population is higher at 17,437, compared to 1,037 in Sidney.
  • Residents in New philadelphia have a higher median age of 42.8 years compared to 41.7 years in Sidney.
  • Sidney has a higher median income of $64,500, compared to $55,590 in New philadelphia.
  • A higher percentage of married families is found in New philadelphia at 38.0% compared to 31.0% in Sidney.
  • New philadelphia has a higher poverty level at 15% compared to 10% in Sidney.
  • The unemployment rate in New philadelphia is higher at 4.0%, compared to 3.0% in Sidney.

Demographics

Demographics New philadelphia vs Sidney provide insight into the diversity of the communities to compare.

Demographic New philadelphia Sidney
Black 1 1
White 88 88
Asian 1 Data is updating
Hispanic 8 4
Two or More Races 2 7
American Indian Data is updating Data is updating

Demographics Comparison: New philadelphia vs Sidney

  • The percentage of Black residents is the same in both New philadelphia and Sidney at 1%.
  • The percentage of White residents is the same in both New philadelphia and Sidney at 88%.
  • The Asian population is larger in New philadelphia at 1% compared to 0% in Sidney.
  • The Hispanic community is larger in New philadelphia at 8% compared to 4% in Sidney.
  • The percentage of residents identifying as two or more races is higher in Sidney at 7%, compared to 2% in New philadelphia.
  • The percentage of American Indian residents is the same in both New philadelphia and Sidney at 0%.

Health Statistics

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

Health Metric New philadelphia Sidney
Mental Health Not Good 19.1% 16.4%
Physical Health Not Good 13.6% 10.7%
Depression 24.3% 20.0%
Smoking 24.7% 19.1%
Binge Drinking 16.3% 20.8%
Obesity 41.3% 39.2%
Disability Percentage 15.0% 16.0%

Health Statistics Comparison: New philadelphia vs Sidney

  • More residents in New philadelphia report poor mental health at 19.1% compared to 16.4% in Sidney.
  • Depression is more prevalent in New philadelphia at 24.3% compared to 20.0% in Sidney.
  • Smoking is more prevalent in New philadelphia at 24.7% compared to 19.1% in Sidney.
  • More residents engage in binge drinking in Sidney at 20.8% compared to 16.3% in New philadelphia.
  • Obesity rates are higher in New philadelphia at 41.3% compared to 39.2% in Sidney.
  • There is a higher percentage of disabled individuals in Sidney at 16.0% compared to 15.0% in New philadelphia.

Education Levels

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

Education Level New philadelphia Sidney
No Schooling 0.6% (108) 0.0% (Data is updating)
High School Diploma 26.5% (4,618) 20.9% (217)
Less than High School 11.7% (2,048) 8.1% (84)
Bachelor's Degree and Higher 17.2% (3,001) 11.6% (120)

Education Levels Comparison: New philadelphia vs Sidney

  • A higher percentage of residents in New philadelphia have no formal schooling at 0.6% compared to 0.0% in Sidney.
  • A higher percentage of residents in New philadelphia hold a high school diploma at 26.5% compared to 20.9% in Sidney.
  • More residents in New philadelphia have less than a high school education at 11.7% compared to 8.1% in Sidney.
  • A higher percentage of residents in New philadelphia hold a bachelor's degree or higher at 17.2% compared to 11.6% in Sidney.

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.