Peruvian vs Czechoslovakian Community Comparison
COMPARE
Peruvian
Czechoslovakian
Social Comparison
Social Comparison
Peruvians
Czechoslovakians
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
7,027
SOCIAL INDEX
67.8/ 100
SOCIAL RATING
132nd/ 347
SOCIAL RANK
Czechoslovakian Integration in Peruvian Communities
The statistical analysis conducted on geographies consisting of 274,278,238 people shows a substantial positive correlation between the proportion of Czechoslovakians within Peruvian communities in the United States with a correlation coefficient (R) of 0.554. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.049% in Czechoslovakians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 49.0 Czechoslovakians.
Peruvian vs Czechoslovakian Income
When considering income, the most significant differences between Peruvian and Czechoslovakian communities in the United States are seen in wage/income gap (25.6% compared to 28.2%, a difference of 10.1%), householder income under 25 years ($56,052 compared to $51,224, a difference of 9.4%), and median household income ($90,261 compared to $84,965, a difference of 6.2%). Conversely, both communities are more comparable in terms of median male earnings ($55,659 compared to $55,382, a difference of 0.50%), per capita income ($44,479 compared to $43,806, a difference of 1.5%), and median earnings ($47,628 compared to $46,658, a difference of 2.1%).
Income Metric | Peruvian | Czechoslovakian |
Per Capita Income | Good $44,479 | Average $43,806 |
Median Family Income | Excellent $105,444 | Average $103,273 |
Median Household Income | Exceptional $90,261 | Average $84,965 |
Median Earnings | Excellent $47,628 | Average $46,658 |
Median Male Earnings | Good $55,659 | Good $55,382 |
Median Female Earnings | Good $40,234 | Poor $38,738 |
Householder Age | Under 25 years | Exceptional $56,052 | Tragic $51,224 |
Householder Age | 25 - 44 years | Exceptional $98,886 | Average $95,070 |
Householder Age | 45 - 64 years | Exceptional $105,070 | Good $101,387 |
Householder Age | Over 65 years | Excellent $62,766 | Average $60,581 |
Wage/Income Gap | Good 25.6% | Tragic 28.2% |
Peruvian vs Czechoslovakian Poverty
When considering poverty, the most significant differences between Peruvian and Czechoslovakian communities in the United States are seen in seniors poverty over the age of 65 (11.7% compared to 9.5%, a difference of 23.6%), seniors poverty over the age of 75 (13.4% compared to 10.9%, a difference of 22.6%), and married-couple family poverty (5.3% compared to 4.4%, a difference of 21.7%). Conversely, both communities are more comparable in terms of child poverty among girls under 16 (15.4% compared to 15.5%, a difference of 0.73%), child poverty under the age of 16 (15.3% compared to 15.1%, a difference of 1.3%), and child poverty among boys under 16 (15.5% compared to 15.3%, a difference of 1.3%).
Poverty Metric | Peruvian | Czechoslovakian |
Poverty | Excellent 11.8% | Exceptional 11.4% |
Families | Good 8.8% | Exceptional 8.0% |
Males | Excellent 10.7% | Exceptional 10.3% |
Females | Excellent 12.9% | Exceptional 12.4% |
Females 18 to 24 years | Exceptional 17.2% | Good 20.0% |
Females 25 to 34 years | Exceptional 12.7% | Fair 13.7% |
Children Under 5 years | Exceptional 16.0% | Good 16.8% |
Children Under 16 years | Excellent 15.3% | Exceptional 15.1% |
Boys Under 16 years | Excellent 15.5% | Exceptional 15.3% |
Girls Under 16 years | Exceptional 15.4% | Excellent 15.5% |
Single Males | Exceptional 11.8% | Tragic 13.4% |
Single Females | Exceptional 19.4% | Fair 21.3% |
Single Fathers | Exceptional 15.4% | Tragic 17.1% |
Single Mothers | Exceptional 27.5% | Poor 29.7% |
Married Couples | Fair 5.3% | Exceptional 4.4% |
Seniors Over 65 years | Tragic 11.7% | Exceptional 9.5% |
Seniors Over 75 years | Tragic 13.4% | Exceptional 10.9% |
Receiving Food Stamps | Average 11.7% | Exceptional 10.3% |
Peruvian vs Czechoslovakian Unemployment
When considering unemployment, the most significant differences between Peruvian and Czechoslovakian communities in the United States are seen in female unemployment (5.4% compared to 4.8%, a difference of 13.5%), unemployment (5.3% compared to 4.8%, a difference of 11.4%), and unemployment among women with children under 18 years (5.6% compared to 5.1%, a difference of 11.2%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.5% compared to 5.4%, a difference of 0.97%), unemployment among women with children ages 6 to 17 years (9.2% compared to 9.1%, a difference of 1.1%), and unemployment among ages 25 to 29 years (6.6% compared to 6.7%, a difference of 1.8%).
Unemployment Metric | Peruvian | Czechoslovakian |
Unemployment | Fair 5.3% | Exceptional 4.8% |
Males | Average 5.3% | Exceptional 5.0% |
Females | Tragic 5.4% | Exceptional 4.8% |
Youth < 25 | Poor 11.8% | Exceptional 11.0% |
Age | 16 to 19 years | Fair 17.7% | Exceptional 16.5% |
Age | 20 to 24 years | Poor 10.5% | Exceptional 9.9% |
Age | 25 to 29 years | Good 6.6% | Average 6.7% |
Age | 30 to 34 years | Average 5.5% | Good 5.4% |
Age | 35 to 44 years | Average 4.7% | Excellent 4.6% |
Age | 45 to 54 years | Fair 4.6% | Exceptional 4.2% |
Age | 55 to 59 years | Fair 4.8% | Exceptional 4.6% |
Age | 60 to 64 years | Tragic 5.0% | Exceptional 4.6% |
Age | 65 to 74 years | Tragic 5.5% | Excellent 5.3% |
Seniors > 65 | Tragic 5.3% | Exceptional 5.0% |
Seniors > 75 | Tragic 9.0% | Tragic 9.4% |
Women w/ Children < 6 | Good 7.5% | Fair 7.7% |
Women w/ Children 6 to 17 | Tragic 9.2% | Fair 9.1% |
Women w/ Children < 18 | Poor 5.6% | Exceptional 5.1% |
Peruvian vs Czechoslovakian Labor Participation
When considering labor participation, the most significant differences between Peruvian and Czechoslovakian communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 41.9%, a difference of 21.1%), in labor force | age 20-24 (74.5% compared to 77.5%, a difference of 4.0%), and in labor force | age > 16 (66.3% compared to 64.3%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.8% compared to 84.8%, a difference of 0.020%), in labor force | age 25-29 (84.7% compared to 85.0%, a difference of 0.35%), and in labor force | age 35-44 (84.9% compared to 84.6%, a difference of 0.40%).
Labor Participation Metric | Peruvian | Czechoslovakian |
In Labor Force | Age > 16 | Exceptional 66.3% | Tragic 64.3% |
In Labor Force | Age 20-64 | Exceptional 80.3% | Average 79.5% |
In Labor Force | Age 16-19 | Tragic 34.6% | Exceptional 41.9% |
In Labor Force | Age 20-24 | Poor 74.5% | Exceptional 77.5% |
In Labor Force | Age 25-29 | Good 84.7% | Exceptional 85.0% |
In Labor Force | Age 30-34 | Good 84.8% | Good 84.8% |
In Labor Force | Age 35-44 | Exceptional 84.9% | Excellent 84.6% |
In Labor Force | Age 45-54 | Exceptional 83.6% | Good 83.0% |
Peruvian vs Czechoslovakian Family Structure
When considering family structure, the most significant differences between Peruvian and Czechoslovakian communities in the United States are seen in single mother households (6.5% compared to 5.9%, a difference of 11.0%), family households with children (29.0% compared to 27.0%, a difference of 7.2%), and average family size (3.30 compared to 3.13, a difference of 5.5%). Conversely, both communities are more comparable in terms of births to unmarried women (31.5% compared to 32.0%, a difference of 1.7%), married-couple households (47.6% compared to 48.5%, a difference of 1.9%), and single father households (2.4% compared to 2.3%, a difference of 2.5%).
Family Structure Metric | Peruvian | Czechoslovakian |
Family Households | Exceptional 67.1% | Excellent 64.6% |
Family Households with Children | Exceptional 29.0% | Tragic 27.0% |
Married-couple Households | Exceptional 47.6% | Exceptional 48.5% |
Average Family Size | Exceptional 3.30 | Tragic 3.13 |
Single Father Households | Fair 2.4% | Average 2.3% |
Single Mother Households | Fair 6.5% | Exceptional 5.9% |
Currently Married | Average 46.6% | Exceptional 48.8% |
Divorced or Separated | Excellent 11.9% | Poor 12.3% |
Births to Unmarried Women | Average 31.5% | Fair 32.0% |
Peruvian vs Czechoslovakian Vehicle Availability
When considering vehicle availability, the most significant differences between Peruvian and Czechoslovakian communities in the United States are seen in no vehicles in household (11.2% compared to 7.8%, a difference of 43.6%), 3 or more vehicles in household (19.6% compared to 21.7%, a difference of 10.7%), and 4 or more vehicles in household (6.5% compared to 7.1%, a difference of 10.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 92.3%, a difference of 3.9%), 2 or more vehicles in household (55.0% compared to 59.8%, a difference of 8.8%), and 4 or more vehicles in household (6.5% compared to 7.1%, a difference of 10.2%).
Vehicle Availability Metric | Peruvian | Czechoslovakian |
No Vehicles Available | Tragic 11.2% | Exceptional 7.8% |
1+ Vehicles Available | Tragic 88.8% | Exceptional 92.3% |
2+ Vehicles Available | Fair 55.0% | Exceptional 59.8% |
3+ Vehicles Available | Average 19.6% | Exceptional 21.7% |
4+ Vehicles Available | Good 6.5% | Exceptional 7.1% |
Peruvian vs Czechoslovakian Education Level
When considering education level, the most significant differences between Peruvian and Czechoslovakian communities in the United States are seen in no schooling completed (2.4% compared to 1.6%, a difference of 47.3%), professional degree (4.5% compared to 4.2%, a difference of 7.1%), and master's degree (15.3% compared to 14.5%, a difference of 5.4%). Conversely, both communities are more comparable in terms of doctorate degree (1.8% compared to 1.8%, a difference of 0.23%), associate's degree (46.4% compared to 46.0%, a difference of 0.80%), and nursery school (97.6% compared to 98.5%, a difference of 0.84%).
Education Level Metric | Peruvian | Czechoslovakian |
No Schooling Completed | Tragic 2.4% | Exceptional 1.6% |
Nursery School | Tragic 97.6% | Exceptional 98.5% |
Kindergarten | Tragic 97.6% | Exceptional 98.4% |
1st Grade | Tragic 97.6% | Exceptional 98.4% |
2nd Grade | Tragic 97.5% | Exceptional 98.4% |
3rd Grade | Tragic 97.4% | Exceptional 98.3% |
4th Grade | Tragic 97.1% | Exceptional 98.1% |
5th Grade | Tragic 96.8% | Exceptional 98.0% |
6th Grade | Tragic 96.4% | Exceptional 97.8% |
7th Grade | Tragic 95.1% | Exceptional 97.1% |
8th Grade | Tragic 94.7% | Exceptional 96.9% |
9th Grade | Tragic 93.8% | Exceptional 96.1% |
10th Grade | Tragic 92.6% | Exceptional 95.1% |
11th Grade | Tragic 91.5% | Exceptional 94.0% |
12th Grade, No Diploma | Tragic 90.2% | Exceptional 92.6% |
High School Diploma | Tragic 87.8% | Exceptional 90.9% |
GED/Equivalency | Tragic 84.7% | Exceptional 87.4% |
College, Under 1 year | Poor 64.1% | Good 65.8% |
College, 1 year or more | Fair 58.6% | Average 59.4% |
Associate's Degree | Average 46.4% | Average 46.0% |
Bachelor's Degree | Good 38.3% | Fair 37.0% |
Master's Degree | Good 15.3% | Fair 14.5% |
Professional Degree | Good 4.5% | Fair 4.2% |
Doctorate Degree | Fair 1.8% | Fair 1.8% |
Peruvian vs Czechoslovakian Disability
When considering disability, the most significant differences between Peruvian and Czechoslovakian communities in the United States are seen in hearing disability (2.7% compared to 3.6%, a difference of 30.1%), disability age 18 to 34 (6.0% compared to 7.4%, a difference of 24.6%), and disability age under 5 (1.3% compared to 1.5%, a difference of 20.5%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.6%, a difference of 0.46%), disability age over 75 (46.8% compared to 46.6%, a difference of 0.58%), and self-care disability (2.4% compared to 2.5%, a difference of 2.7%).
Disability Metric | Peruvian | Czechoslovakian |
Disability | Exceptional 10.9% | Tragic 12.5% |
Males | Exceptional 10.4% | Tragic 12.3% |
Females | Exceptional 11.3% | Tragic 12.7% |
Age | Under 5 years | Fair 1.3% | Tragic 1.5% |
Age | 5 to 17 years | Exceptional 5.3% | Tragic 5.9% |
Age | 18 to 34 years | Exceptional 6.0% | Tragic 7.4% |
Age | 35 to 64 years | Exceptional 9.9% | Tragic 11.8% |
Age | 65 to 74 years | Exceptional 22.2% | Good 23.0% |
Age | Over 75 years | Excellent 46.8% | Exceptional 46.6% |
Vision | Exceptional 2.1% | Fair 2.2% |
Hearing | Exceptional 2.7% | Tragic 3.6% |
Cognitive | Exceptional 16.7% | Exceptional 16.6% |
Ambulatory | Exceptional 5.7% | Tragic 6.4% |
Self-Care | Exceptional 2.4% | Average 2.5% |