Zimbabwean vs Peruvian Community Comparison
COMPARE
Zimbabwean
Peruvian
Social Comparison
Social Comparison
Zimbabweans
Peruvians
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
Peruvian Integration in Zimbabwean Communities
The statistical analysis conducted on geographies consisting of 65,314,846 people shows no correlation between the proportion of Peruvians within Zimbabwean communities in the United States with a correlation coefficient (R) of -0.047. On average, for every 1% (one percent) increase in Zimbabweans within a typical geography, there is a decrease of 0.057% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Zimbabweans corresponds to a decrease of 56.7 Peruvians.
Zimbabwean vs Peruvian Income
When considering income, the most significant differences between Zimbabwean and Peruvian communities in the United States are seen in householder income under 25 years ($51,259 compared to $56,052, a difference of 9.3%), householder income over 65 years ($65,854 compared to $62,766, a difference of 4.9%), and median family income ($110,011 compared to $105,444, a difference of 4.3%). Conversely, both communities are more comparable in terms of householder income ages 25 - 44 years ($98,586 compared to $98,886, a difference of 0.30%), median household income ($90,618 compared to $90,261, a difference of 0.40%), and median male earnings ($56,302 compared to $55,659, a difference of 1.1%).
Income Metric | Zimbabwean | Peruvian |
Per Capita Income | Exceptional $45,804 | Good $44,479 |
Median Family Income | Exceptional $110,011 | Excellent $105,444 |
Median Household Income | Exceptional $90,618 | Exceptional $90,261 |
Median Earnings | Exceptional $48,229 | Excellent $47,628 |
Median Male Earnings | Excellent $56,302 | Good $55,659 |
Median Female Earnings | Exceptional $40,798 | Good $40,234 |
Householder Age | Under 25 years | Tragic $51,259 | Exceptional $56,052 |
Householder Age | 25 - 44 years | Exceptional $98,586 | Exceptional $98,886 |
Householder Age | 45 - 64 years | Exceptional $106,849 | Exceptional $105,070 |
Householder Age | Over 65 years | Exceptional $65,854 | Excellent $62,766 |
Wage/Income Gap | Fair 26.3% | Good 25.6% |
Zimbabwean vs Peruvian Poverty
When considering poverty, the most significant differences between Zimbabwean and Peruvian communities in the United States are seen in married-couple family poverty (4.1% compared to 5.3%, a difference of 29.8%), receiving food stamps (9.5% compared to 11.7%, a difference of 23.9%), and seniors poverty over the age of 65 (9.6% compared to 11.7%, a difference of 21.7%). Conversely, both communities are more comparable in terms of single female poverty (19.5% compared to 19.4%, a difference of 0.80%), single father poverty (15.6% compared to 15.4%, a difference of 1.0%), and single mother poverty (27.9% compared to 27.5%, a difference of 1.6%).
Poverty Metric | Zimbabwean | Peruvian |
Poverty | Exceptional 11.3% | Excellent 11.8% |
Families | Exceptional 7.8% | Good 8.8% |
Males | Exceptional 10.2% | Excellent 10.7% |
Females | Exceptional 12.3% | Excellent 12.9% |
Females 18 to 24 years | Fair 20.4% | Exceptional 17.2% |
Females 25 to 34 years | Exceptional 11.7% | Exceptional 12.7% |
Children Under 5 years | Exceptional 15.2% | Exceptional 16.0% |
Children Under 16 years | Exceptional 14.2% | Excellent 15.3% |
Boys Under 16 years | Exceptional 14.3% | Excellent 15.5% |
Girls Under 16 years | Exceptional 14.4% | Exceptional 15.4% |
Single Males | Poor 13.1% | Exceptional 11.8% |
Single Females | Exceptional 19.5% | Exceptional 19.4% |
Single Fathers | Exceptional 15.6% | Exceptional 15.4% |
Single Mothers | Exceptional 27.9% | Exceptional 27.5% |
Married Couples | Exceptional 4.1% | Fair 5.3% |
Seniors Over 65 years | Exceptional 9.6% | Tragic 11.7% |
Seniors Over 75 years | Exceptional 11.2% | Tragic 13.4% |
Receiving Food Stamps | Exceptional 9.5% | Average 11.7% |
Zimbabwean vs Peruvian Unemployment
When considering unemployment, the most significant differences between Zimbabwean and Peruvian communities in the United States are seen in unemployment among youth under 25 years (10.2% compared to 11.8%, a difference of 16.0%), unemployment among ages 55 to 59 years (4.2% compared to 4.8%, a difference of 14.5%), and unemployment among ages 16 to 19 years (15.4% compared to 17.7%, a difference of 14.4%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.3% compared to 7.5%, a difference of 2.4%), unemployment among ages 25 to 29 years (6.4% compared to 6.6%, a difference of 3.0%), and unemployment among seniors over 75 years (8.7% compared to 9.0%, a difference of 3.6%).
Unemployment Metric | Zimbabwean | Peruvian |
Unemployment | Exceptional 4.8% | Fair 5.3% |
Males | Exceptional 4.8% | Average 5.3% |
Females | Exceptional 4.8% | Tragic 5.4% |
Youth < 25 | Exceptional 10.2% | Poor 11.8% |
Age | 16 to 19 years | Exceptional 15.4% | Fair 17.7% |
Age | 20 to 24 years | Exceptional 9.2% | Poor 10.5% |
Age | 25 to 29 years | Exceptional 6.4% | Good 6.6% |
Age | 30 to 34 years | Exceptional 4.8% | Average 5.5% |
Age | 35 to 44 years | Exceptional 4.3% | Average 4.7% |
Age | 45 to 54 years | Exceptional 4.2% | Fair 4.6% |
Age | 55 to 59 years | Exceptional 4.2% | Fair 4.8% |
Age | 60 to 64 years | Exceptional 4.5% | Tragic 5.0% |
Age | 65 to 74 years | Tragic 5.9% | Tragic 5.5% |
Seniors > 65 | Tragic 5.6% | Tragic 5.3% |
Seniors > 75 | Average 8.7% | Tragic 9.0% |
Women w/ Children < 6 | Exceptional 7.3% | Good 7.5% |
Women w/ Children 6 to 17 | Exceptional 8.6% | Tragic 9.2% |
Women w/ Children < 18 | Exceptional 5.1% | Poor 5.6% |
Zimbabwean vs Peruvian Labor Participation
When considering labor participation, the most significant differences between Zimbabwean and Peruvian communities in the United States are seen in in labor force | age 16-19 (38.7% compared to 34.6%, a difference of 11.9%), in labor force | age > 16 (67.3% compared to 66.3%, a difference of 1.5%), and in labor force | age 20-24 (75.6% compared to 74.5%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.5% compared to 84.7%, a difference of 0.28%), in labor force | age 45-54 (84.0% compared to 83.6%, a difference of 0.56%), and in labor force | age 20-64 (81.0% compared to 80.3%, a difference of 0.79%).
Labor Participation Metric | Zimbabwean | Peruvian |
In Labor Force | Age > 16 | Exceptional 67.3% | Exceptional 66.3% |
In Labor Force | Age 20-64 | Exceptional 81.0% | Exceptional 80.3% |
In Labor Force | Age 16-19 | Exceptional 38.7% | Tragic 34.6% |
In Labor Force | Age 20-24 | Excellent 75.6% | Poor 74.5% |
In Labor Force | Age 25-29 | Fair 84.5% | Good 84.7% |
In Labor Force | Age 30-34 | Exceptional 85.6% | Good 84.8% |
In Labor Force | Age 35-44 | Exceptional 86.1% | Exceptional 84.9% |
In Labor Force | Age 45-54 | Exceptional 84.0% | Exceptional 83.6% |
Zimbabwean vs Peruvian Family Structure
When considering family structure, the most significant differences between Zimbabwean and Peruvian communities in the United States are seen in births to unmarried women (28.7% compared to 31.5%, a difference of 9.8%), single mother households (6.1% compared to 6.5%, a difference of 7.7%), and single father households (2.2% compared to 2.4%, a difference of 7.7%). Conversely, both communities are more comparable in terms of married-couple households (47.4% compared to 47.6%, a difference of 0.57%), currently married (47.0% compared to 46.6%, a difference of 0.78%), and divorced or separated (11.6% compared to 11.9%, a difference of 2.9%).
Family Structure Metric | Zimbabwean | Peruvian |
Family Households | Fair 64.1% | Exceptional 67.1% |
Family Households with Children | Exceptional 27.9% | Exceptional 29.0% |
Married-couple Households | Excellent 47.4% | Exceptional 47.6% |
Average Family Size | Poor 3.20 | Exceptional 3.30 |
Single Father Households | Exceptional 2.2% | Fair 2.4% |
Single Mother Households | Excellent 6.1% | Fair 6.5% |
Currently Married | Good 47.0% | Average 46.6% |
Divorced or Separated | Exceptional 11.6% | Excellent 11.9% |
Births to Unmarried Women | Exceptional 28.7% | Average 31.5% |
Zimbabwean vs Peruvian Vehicle Availability
When considering vehicle availability, the most significant differences between Zimbabwean and Peruvian communities in the United States are seen in no vehicles in household (9.0% compared to 11.2%, a difference of 24.4%), 2 or more vehicles in household (57.2% compared to 55.0%, a difference of 4.1%), and 3 or more vehicles in household (20.3% compared to 19.6%, a difference of 3.2%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.4% compared to 6.5%, a difference of 0.27%), 1 or more vehicles in household (91.0% compared to 88.8%, a difference of 2.4%), and 3 or more vehicles in household (20.3% compared to 19.6%, a difference of 3.2%).
Vehicle Availability Metric | Zimbabwean | Peruvian |
No Vehicles Available | Exceptional 9.0% | Tragic 11.2% |
1+ Vehicles Available | Exceptional 91.0% | Tragic 88.8% |
2+ Vehicles Available | Exceptional 57.2% | Fair 55.0% |
3+ Vehicles Available | Excellent 20.3% | Average 19.6% |
4+ Vehicles Available | Good 6.4% | Good 6.5% |
Zimbabwean vs Peruvian Education Level
When considering education level, the most significant differences between Zimbabwean and Peruvian communities in the United States are seen in no schooling completed (1.7% compared to 2.4%, a difference of 38.2%), doctorate degree (2.3% compared to 1.8%, a difference of 26.6%), and master's degree (17.7% compared to 15.3%, a difference of 15.9%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 97.6%, a difference of 0.68%), kindergarten (98.3% compared to 97.6%, a difference of 0.69%), and 1st grade (98.3% compared to 97.6%, a difference of 0.71%).
Education Level Metric | Zimbabwean | Peruvian |
No Schooling Completed | Exceptional 1.7% | Tragic 2.4% |
Nursery School | Exceptional 98.3% | Tragic 97.6% |
Kindergarten | Exceptional 98.3% | Tragic 97.6% |
1st Grade | Exceptional 98.3% | Tragic 97.6% |
2nd Grade | Exceptional 98.2% | Tragic 97.5% |
3rd Grade | Exceptional 98.1% | Tragic 97.4% |
4th Grade | Exceptional 97.9% | Tragic 97.1% |
5th Grade | Exceptional 97.8% | Tragic 96.8% |
6th Grade | Exceptional 97.6% | Tragic 96.4% |
7th Grade | Exceptional 96.8% | Tragic 95.1% |
8th Grade | Exceptional 96.5% | Tragic 94.7% |
9th Grade | Exceptional 95.9% | Tragic 93.8% |
10th Grade | Exceptional 94.9% | Tragic 92.6% |
11th Grade | Exceptional 93.9% | Tragic 91.5% |
12th Grade, No Diploma | Exceptional 92.7% | Tragic 90.2% |
High School Diploma | Exceptional 91.1% | Tragic 87.8% |
GED/Equivalency | Exceptional 88.0% | Tragic 84.7% |
College, Under 1 year | Exceptional 69.9% | Poor 64.1% |
College, 1 year or more | Exceptional 64.2% | Fair 58.6% |
Associate's Degree | Exceptional 51.3% | Average 46.4% |
Bachelor's Degree | Exceptional 43.3% | Good 38.3% |
Master's Degree | Exceptional 17.7% | Good 15.3% |
Professional Degree | Exceptional 5.2% | Good 4.5% |
Doctorate Degree | Exceptional 2.3% | Fair 1.8% |
Zimbabwean vs Peruvian Disability
When considering disability, the most significant differences between Zimbabwean and Peruvian communities in the United States are seen in self-care disability (2.2% compared to 2.4%, a difference of 11.5%), disability age 18 to 34 (6.5% compared to 6.0%, a difference of 8.4%), and disability age under 5 (1.2% compared to 1.3%, a difference of 6.6%). Conversely, both communities are more comparable in terms of female disability (11.3% compared to 11.3%, a difference of 0.54%), disability (10.9% compared to 10.9%, a difference of 0.73%), and male disability (10.6% compared to 10.4%, a difference of 2.0%).
Disability Metric | Zimbabwean | Peruvian |
Disability | Exceptional 10.9% | Exceptional 10.9% |
Males | Exceptional 10.6% | Exceptional 10.4% |
Females | Exceptional 11.3% | Exceptional 11.3% |
Age | Under 5 years | Exceptional 1.2% | Fair 1.3% |
Age | 5 to 17 years | Good 5.5% | Exceptional 5.3% |
Age | 18 to 34 years | Good 6.5% | Exceptional 6.0% |
Age | 35 to 64 years | Exceptional 10.4% | Exceptional 9.9% |
Age | 65 to 74 years | Exceptional 21.5% | Exceptional 22.2% |
Age | Over 75 years | Tragic 48.1% | Excellent 46.8% |
Vision | Exceptional 2.0% | Exceptional 2.1% |
Hearing | Excellent 2.8% | Exceptional 2.7% |
Cognitive | Tragic 17.6% | Exceptional 16.7% |
Ambulatory | Exceptional 5.4% | Exceptional 5.7% |
Self-Care | Exceptional 2.2% | Exceptional 2.4% |