Peruvian vs Czech Community Comparison
COMPARE
Peruvian
Czech
Social Comparison
Social Comparison
Peruvians
Czechs
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
8,484
SOCIAL INDEX
82.3/ 100
SOCIAL RATING
70th/ 347
SOCIAL RANK
Czech Integration in Peruvian Communities
The statistical analysis conducted on geographies consisting of 334,093,648 people shows a moderate positive correlation between the proportion of Czechs within Peruvian communities in the United States with a correlation coefficient (R) of 0.433. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.134% in Czechs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 134.1 Czechs.
Peruvian vs Czech Income
When considering income, the most significant differences between Peruvian and Czech communities in the United States are seen in wage/income gap (25.6% compared to 29.2%, a difference of 14.0%), householder income under 25 years ($56,052 compared to $51,421, a difference of 9.0%), and median household income ($90,261 compared to $86,164, a difference of 4.8%). Conversely, both communities are more comparable in terms of per capita income ($44,479 compared to $44,595, a difference of 0.26%), median family income ($105,444 compared to $105,839, a difference of 0.37%), and median earnings ($47,628 compared to $47,221, a difference of 0.86%).
Income Metric | Peruvian | Czech |
Per Capita Income | Good $44,479 | Good $44,595 |
Median Family Income | Excellent $105,444 | Excellent $105,839 |
Median Household Income | Exceptional $90,261 | Good $86,164 |
Median Earnings | Excellent $47,628 | Good $47,221 |
Median Male Earnings | Good $55,659 | Excellent $56,546 |
Median Female Earnings | Good $40,234 | Poor $38,992 |
Householder Age | Under 25 years | Exceptional $56,052 | Poor $51,421 |
Householder Age | 25 - 44 years | Exceptional $98,886 | Good $96,525 |
Householder Age | 45 - 64 years | Exceptional $105,070 | Excellent $103,507 |
Householder Age | Over 65 years | Excellent $62,766 | Average $61,244 |
Wage/Income Gap | Good 25.6% | Tragic 29.2% |
Peruvian vs Czech Poverty
When considering poverty, the most significant differences between Peruvian and Czech communities in the United States are seen in married-couple family poverty (5.3% compared to 4.0%, a difference of 31.7%), seniors poverty over the age of 65 (11.7% compared to 9.0%, a difference of 30.0%), and receiving food stamps (11.7% compared to 9.2%, a difference of 27.5%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (12.7% compared to 12.9%, a difference of 1.9%), child poverty under the age of 5 (16.0% compared to 15.5%, a difference of 3.0%), and single mother poverty (27.5% compared to 28.9%, a difference of 5.1%).
Poverty Metric | Peruvian | Czech |
Poverty | Excellent 11.8% | Exceptional 10.8% |
Families | Good 8.8% | Exceptional 7.4% |
Males | Excellent 10.7% | Exceptional 9.8% |
Females | Excellent 12.9% | Exceptional 11.9% |
Females 18 to 24 years | Exceptional 17.2% | Fair 20.4% |
Females 25 to 34 years | Exceptional 12.7% | Exceptional 12.9% |
Children Under 5 years | Exceptional 16.0% | Exceptional 15.5% |
Children Under 16 years | Excellent 15.3% | Exceptional 13.8% |
Boys Under 16 years | Excellent 15.5% | Exceptional 14.1% |
Girls Under 16 years | Exceptional 15.4% | Exceptional 14.2% |
Single Males | Exceptional 11.8% | Tragic 13.5% |
Single Females | Exceptional 19.4% | Average 21.0% |
Single Fathers | Exceptional 15.4% | Tragic 17.0% |
Single Mothers | Exceptional 27.5% | Good 28.9% |
Married Couples | Fair 5.3% | Exceptional 4.0% |
Seniors Over 65 years | Tragic 11.7% | Exceptional 9.0% |
Seniors Over 75 years | Tragic 13.4% | Exceptional 10.5% |
Receiving Food Stamps | Average 11.7% | Exceptional 9.2% |
Peruvian vs Czech Unemployment
When considering unemployment, the most significant differences between Peruvian and Czech communities in the United States are seen in female unemployment (5.4% compared to 4.4%, a difference of 23.9%), unemployment (5.3% compared to 4.3%, a difference of 22.7%), and unemployment among women with children under 18 years (5.6% compared to 4.7%, a difference of 19.2%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.5% compared to 7.6%, a difference of 0.94%), unemployment among women with children ages 6 to 17 years (9.2% compared to 8.7%, a difference of 5.9%), and unemployment among ages 25 to 29 years (6.6% compared to 6.2%, a difference of 6.7%).
Unemployment Metric | Peruvian | Czech |
Unemployment | Fair 5.3% | Exceptional 4.3% |
Males | Average 5.3% | Exceptional 4.5% |
Females | Tragic 5.4% | Exceptional 4.4% |
Youth < 25 | Poor 11.8% | Exceptional 10.3% |
Age | 16 to 19 years | Fair 17.7% | Exceptional 15.4% |
Age | 20 to 24 years | Poor 10.5% | Exceptional 9.3% |
Age | 25 to 29 years | Good 6.6% | Exceptional 6.2% |
Age | 30 to 34 years | Average 5.5% | Exceptional 5.0% |
Age | 35 to 44 years | Average 4.7% | Exceptional 4.1% |
Age | 45 to 54 years | Fair 4.6% | Exceptional 4.0% |
Age | 55 to 59 years | Fair 4.8% | Exceptional 4.4% |
Age | 60 to 64 years | Tragic 5.0% | Exceptional 4.4% |
Age | 65 to 74 years | Tragic 5.5% | Exceptional 5.0% |
Seniors > 65 | Tragic 5.3% | Exceptional 4.7% |
Seniors > 75 | Tragic 9.0% | Tragic 9.7% |
Women w/ Children < 6 | Good 7.5% | Average 7.6% |
Women w/ Children 6 to 17 | Tragic 9.2% | Exceptional 8.7% |
Women w/ Children < 18 | Poor 5.6% | Exceptional 4.7% |
Peruvian vs Czech Labor Participation
When considering labor participation, the most significant differences between Peruvian and Czech communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 43.6%, a difference of 26.2%), in labor force | age 20-24 (74.5% compared to 78.5%, a difference of 5.3%), and in labor force | age > 16 (66.3% compared to 65.4%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.3% compared to 80.5%, a difference of 0.25%), in labor force | age 35-44 (84.9% compared to 85.3%, a difference of 0.44%), and in labor force | age 45-54 (83.6% compared to 83.9%, a difference of 0.45%).
Labor Participation Metric | Peruvian | Czech |
In Labor Force | Age > 16 | Exceptional 66.3% | Excellent 65.4% |
In Labor Force | Age 20-64 | Exceptional 80.3% | Exceptional 80.5% |
In Labor Force | Age 16-19 | Tragic 34.6% | Exceptional 43.6% |
In Labor Force | Age 20-24 | Poor 74.5% | Exceptional 78.5% |
In Labor Force | Age 25-29 | Good 84.7% | Exceptional 85.6% |
In Labor Force | Age 30-34 | Good 84.8% | Exceptional 85.5% |
In Labor Force | Age 35-44 | Exceptional 84.9% | Exceptional 85.3% |
In Labor Force | Age 45-54 | Exceptional 83.6% | Exceptional 83.9% |
Peruvian vs Czech Family Structure
When considering family structure, the most significant differences between Peruvian and Czech communities in the United States are seen in single mother households (6.5% compared to 5.6%, a difference of 15.7%), currently married (46.6% compared to 49.9%, a difference of 6.9%), and average family size (3.30 compared to 3.11, a difference of 6.1%). Conversely, both communities are more comparable in terms of divorced or separated (11.9% compared to 11.9%, a difference of 0.24%), single father households (2.4% compared to 2.3%, a difference of 2.8%), and births to unmarried women (31.5% compared to 30.5%, a difference of 3.2%).
Family Structure Metric | Peruvian | Czech |
Family Households | Exceptional 67.1% | Good 64.5% |
Family Households with Children | Exceptional 29.0% | Good 27.5% |
Married-couple Households | Exceptional 47.6% | Exceptional 49.4% |
Average Family Size | Exceptional 3.30 | Tragic 3.11 |
Single Father Households | Fair 2.4% | Good 2.3% |
Single Mother Households | Fair 6.5% | Exceptional 5.6% |
Currently Married | Average 46.6% | Exceptional 49.9% |
Divorced or Separated | Excellent 11.9% | Good 11.9% |
Births to Unmarried Women | Average 31.5% | Excellent 30.5% |
Peruvian vs Czech Vehicle Availability
When considering vehicle availability, the most significant differences between Peruvian and Czech communities in the United States are seen in no vehicles in household (11.2% compared to 6.9%, a difference of 63.4%), 3 or more vehicles in household (19.6% compared to 22.5%, a difference of 14.7%), and 4 or more vehicles in household (6.5% compared to 7.4%, a difference of 13.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 93.3%, a difference of 5.0%), 2 or more vehicles in household (55.0% compared to 61.5%, a difference of 11.8%), and 4 or more vehicles in household (6.5% compared to 7.4%, a difference of 13.9%).
Vehicle Availability Metric | Peruvian | Czech |
No Vehicles Available | Tragic 11.2% | Exceptional 6.9% |
1+ Vehicles Available | Tragic 88.8% | Exceptional 93.3% |
2+ Vehicles Available | Fair 55.0% | Exceptional 61.5% |
3+ Vehicles Available | Average 19.6% | Exceptional 22.5% |
4+ Vehicles Available | Good 6.5% | Exceptional 7.4% |
Peruvian vs Czech Education Level
When considering education level, the most significant differences between Peruvian and Czech communities in the United States are seen in no schooling completed (2.4% compared to 1.5%, a difference of 60.1%), doctorate degree (1.8% compared to 1.9%, a difference of 5.1%), and college, under 1 year (64.1% compared to 67.1%, a difference of 4.6%). Conversely, both communities are more comparable in terms of bachelor's degree (38.3% compared to 38.0%, a difference of 0.91%), nursery school (97.6% compared to 98.6%, a difference of 0.97%), and kindergarten (97.6% compared to 98.6%, a difference of 0.99%).
Education Level Metric | Peruvian | Czech |
No Schooling Completed | Tragic 2.4% | Exceptional 1.5% |
Nursery School | Tragic 97.6% | Exceptional 98.6% |
Kindergarten | Tragic 97.6% | Exceptional 98.6% |
1st Grade | Tragic 97.6% | Exceptional 98.5% |
2nd Grade | Tragic 97.5% | Exceptional 98.5% |
3rd Grade | Tragic 97.4% | Exceptional 98.4% |
4th Grade | Tragic 97.1% | Exceptional 98.3% |
5th Grade | Tragic 96.8% | Exceptional 98.2% |
6th Grade | Tragic 96.4% | Exceptional 98.0% |
7th Grade | Tragic 95.1% | Exceptional 97.4% |
8th Grade | Tragic 94.7% | Exceptional 97.1% |
9th Grade | Tragic 93.8% | Exceptional 96.4% |
10th Grade | Tragic 92.6% | Exceptional 95.5% |
11th Grade | Tragic 91.5% | Exceptional 94.4% |
12th Grade, No Diploma | Tragic 90.2% | Exceptional 93.2% |
High School Diploma | Tragic 87.8% | Exceptional 91.6% |
GED/Equivalency | Tragic 84.7% | Exceptional 88.1% |
College, Under 1 year | Poor 64.1% | Exceptional 67.1% |
College, 1 year or more | Fair 58.6% | Excellent 60.6% |
Associate's Degree | Average 46.4% | Good 47.2% |
Bachelor's Degree | Good 38.3% | Average 38.0% |
Master's Degree | Good 15.3% | Average 14.7% |
Professional Degree | Good 4.5% | Average 4.4% |
Doctorate Degree | Fair 1.8% | Good 1.9% |
Peruvian vs Czech Disability
When considering disability, the most significant differences between Peruvian and Czech communities in the United States are seen in hearing disability (2.7% compared to 3.5%, a difference of 28.9%), disability age under 5 (1.3% compared to 1.5%, a difference of 23.6%), and disability age 18 to 34 (6.0% compared to 7.2%, a difference of 21.4%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (22.2% compared to 22.4%, a difference of 0.82%), vision disability (2.1% compared to 2.1%, a difference of 1.4%), and cognitive disability (16.7% compared to 16.4%, a difference of 1.7%).
Disability Metric | Peruvian | Czech |
Disability | Exceptional 10.9% | Tragic 12.0% |
Males | Exceptional 10.4% | Tragic 11.9% |
Females | Exceptional 11.3% | Good 12.1% |
Age | Under 5 years | Fair 1.3% | Tragic 1.5% |
Age | 5 to 17 years | Exceptional 5.3% | Tragic 5.8% |
Age | 18 to 34 years | Exceptional 6.0% | Tragic 7.2% |
Age | 35 to 64 years | Exceptional 9.9% | Average 11.3% |
Age | 65 to 74 years | Exceptional 22.2% | Exceptional 22.4% |
Age | Over 75 years | Excellent 46.8% | Exceptional 45.7% |
Vision | Exceptional 2.1% | Excellent 2.1% |
Hearing | Exceptional 2.7% | Tragic 3.5% |
Cognitive | Exceptional 16.7% | Exceptional 16.4% |
Ambulatory | Exceptional 5.7% | Excellent 6.0% |
Self-Care | Exceptional 2.4% | Exceptional 2.3% |