Peruvian vs Mongolian Community Comparison
COMPARE
Peruvian
Mongolian
Social Comparison
Social Comparison
Peruvians
Mongolians
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
8,008
SOCIAL INDEX
77.6/ 100
SOCIAL RATING
93rd/ 347
SOCIAL RANK
Mongolian Integration in Peruvian Communities
The statistical analysis conducted on geographies consisting of 129,533,101 people shows a weak positive correlation between the proportion of Mongolians within Peruvian communities in the United States with a correlation coefficient (R) of 0.217. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.007% in Mongolians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 7.2 Mongolians.
Peruvian vs Mongolian Income
When considering income, the most significant differences between Peruvian and Mongolian communities in the United States are seen in per capita income ($44,479 compared to $49,173, a difference of 10.5%), median family income ($105,444 compared to $114,553, a difference of 8.6%), and median male earnings ($55,659 compared to $60,350, a difference of 8.4%). Conversely, both communities are more comparable in terms of wage/income gap (25.6% compared to 26.6%, a difference of 4.0%), householder income over 65 years ($62,766 compared to $65,326, a difference of 4.1%), and median household income ($90,261 compared to $93,971, a difference of 4.1%).
Income Metric | Peruvian | Mongolian |
Per Capita Income | Good $44,479 | Exceptional $49,173 |
Median Family Income | Excellent $105,444 | Exceptional $114,553 |
Median Household Income | Exceptional $90,261 | Exceptional $93,971 |
Median Earnings | Excellent $47,628 | Exceptional $51,038 |
Median Male Earnings | Good $55,659 | Exceptional $60,350 |
Median Female Earnings | Good $40,234 | Exceptional $42,542 |
Householder Age | Under 25 years | Exceptional $56,052 | Good $52,540 |
Householder Age | 25 - 44 years | Exceptional $98,886 | Exceptional $104,578 |
Householder Age | 45 - 64 years | Exceptional $105,070 | Exceptional $111,602 |
Householder Age | Over 65 years | Excellent $62,766 | Exceptional $65,326 |
Wage/Income Gap | Good 25.6% | Poor 26.6% |
Peruvian vs Mongolian Poverty
When considering poverty, the most significant differences between Peruvian and Mongolian communities in the United States are seen in female poverty among 18-24 year olds (17.2% compared to 21.6%, a difference of 25.5%), receiving food stamps (11.7% compared to 10.5%, a difference of 12.4%), and seniors poverty over the age of 75 (13.4% compared to 12.2%, a difference of 9.3%). Conversely, both communities are more comparable in terms of child poverty among girls under 16 (15.4% compared to 15.4%, a difference of 0.53%), single mother poverty (27.5% compared to 27.7%, a difference of 0.62%), and child poverty among boys under 16 (15.5% compared to 15.4%, a difference of 0.64%).
Poverty Metric | Peruvian | Mongolian |
Poverty | Excellent 11.8% | Average 12.4% |
Families | Good 8.8% | Excellent 8.6% |
Males | Excellent 10.7% | Fair 11.3% |
Females | Excellent 12.9% | Average 13.4% |
Females 18 to 24 years | Exceptional 17.2% | Tragic 21.6% |
Females 25 to 34 years | Exceptional 12.7% | Exceptional 12.8% |
Children Under 5 years | Exceptional 16.0% | Exceptional 16.1% |
Children Under 16 years | Excellent 15.3% | Excellent 15.2% |
Boys Under 16 years | Excellent 15.5% | Exceptional 15.4% |
Girls Under 16 years | Exceptional 15.4% | Excellent 15.4% |
Single Males | Exceptional 11.8% | Exceptional 12.2% |
Single Females | Exceptional 19.4% | Exceptional 20.2% |
Single Fathers | Exceptional 15.4% | Exceptional 15.3% |
Single Mothers | Exceptional 27.5% | Exceptional 27.7% |
Married Couples | Fair 5.3% | Good 5.0% |
Seniors Over 65 years | Tragic 11.7% | Average 10.9% |
Seniors Over 75 years | Tragic 13.4% | Average 12.2% |
Receiving Food Stamps | Average 11.7% | Exceptional 10.5% |
Peruvian vs Mongolian Unemployment
When considering unemployment, the most significant differences between Peruvian and Mongolian communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 6.5%, a difference of 16.2%), unemployment among women with children under 18 years (5.6% compared to 5.0%, a difference of 13.2%), and female unemployment (5.4% compared to 5.0%, a difference of 9.7%). Conversely, both communities are more comparable in terms of male unemployment (5.3% compared to 5.1%, a difference of 2.9%), unemployment among ages 65 to 74 years (5.5% compared to 5.3%, a difference of 3.6%), and unemployment among seniors over 65 years (5.3% compared to 5.1%, a difference of 4.2%).
Unemployment Metric | Peruvian | Mongolian |
Unemployment | Fair 5.3% | Exceptional 5.0% |
Males | Average 5.3% | Excellent 5.1% |
Females | Tragic 5.4% | Exceptional 5.0% |
Youth < 25 | Poor 11.8% | Exceptional 11.1% |
Age | 16 to 19 years | Fair 17.7% | Exceptional 16.9% |
Age | 20 to 24 years | Poor 10.5% | Exceptional 9.9% |
Age | 25 to 29 years | Good 6.6% | Exceptional 6.2% |
Age | 30 to 34 years | Average 5.5% | Exceptional 5.2% |
Age | 35 to 44 years | Average 4.7% | Exceptional 4.3% |
Age | 45 to 54 years | Fair 4.6% | Exceptional 4.3% |
Age | 55 to 59 years | Fair 4.8% | Exceptional 4.6% |
Age | 60 to 64 years | Tragic 5.0% | Excellent 4.8% |
Age | 65 to 74 years | Tragic 5.5% | Good 5.3% |
Seniors > 65 | Tragic 5.3% | Average 5.1% |
Seniors > 75 | Tragic 9.0% | Excellent 8.6% |
Women w/ Children < 6 | Good 7.5% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Tragic 9.2% | Exceptional 8.4% |
Women w/ Children < 18 | Poor 5.6% | Exceptional 5.0% |
Peruvian vs Mongolian Labor Participation
When considering labor participation, the most significant differences between Peruvian and Mongolian communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 35.3%, a difference of 2.0%), in labor force | age 20-24 (74.5% compared to 73.3%, a difference of 1.6%), and in labor force | age 30-34 (84.8% compared to 85.3%, a difference of 0.62%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.9% compared to 84.8%, a difference of 0.11%), in labor force | age > 16 (66.3% compared to 66.1%, a difference of 0.34%), and in labor force | age 45-54 (83.6% compared to 83.3%, a difference of 0.35%).
Labor Participation Metric | Peruvian | Mongolian |
In Labor Force | Age > 16 | Exceptional 66.3% | Exceptional 66.1% |
In Labor Force | Age 20-64 | Exceptional 80.3% | Exceptional 79.9% |
In Labor Force | Age 16-19 | Tragic 34.6% | Tragic 35.3% |
In Labor Force | Age 20-24 | Poor 74.5% | Tragic 73.3% |
In Labor Force | Age 25-29 | Good 84.7% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Good 84.8% | Exceptional 85.3% |
In Labor Force | Age 35-44 | Exceptional 84.9% | Exceptional 84.8% |
In Labor Force | Age 45-54 | Exceptional 83.6% | Exceptional 83.3% |
Peruvian vs Mongolian Family Structure
When considering family structure, the most significant differences between Peruvian and Mongolian communities in the United States are seen in single father households (2.4% compared to 2.1%, a difference of 16.0%), births to unmarried women (31.5% compared to 27.9%, a difference of 12.9%), and single mother households (6.5% compared to 5.8%, a difference of 12.8%). Conversely, both communities are more comparable in terms of currently married (46.6% compared to 46.4%, a difference of 0.47%), married-couple households (47.6% compared to 46.3%, a difference of 2.9%), and average family size (3.30 compared to 3.20, a difference of 3.2%).
Family Structure Metric | Peruvian | Mongolian |
Family Households | Exceptional 67.1% | Tragic 62.8% |
Family Households with Children | Exceptional 29.0% | Good 27.6% |
Married-couple Households | Exceptional 47.6% | Average 46.3% |
Average Family Size | Exceptional 3.30 | Poor 3.20 |
Single Father Households | Fair 2.4% | Exceptional 2.1% |
Single Mother Households | Fair 6.5% | Exceptional 5.8% |
Currently Married | Average 46.6% | Fair 46.4% |
Divorced or Separated | Excellent 11.9% | Exceptional 11.1% |
Births to Unmarried Women | Average 31.5% | Exceptional 27.9% |
Peruvian vs Mongolian Vehicle Availability
When considering vehicle availability, the most significant differences between Peruvian and Mongolian communities in the United States are seen in no vehicles in household (11.2% compared to 13.1%, a difference of 16.7%), 4 or more vehicles in household (6.5% compared to 5.8%, a difference of 11.3%), and 3 or more vehicles in household (19.6% compared to 18.1%, a difference of 8.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 87.0%, a difference of 2.1%), 2 or more vehicles in household (55.0% compared to 52.8%, a difference of 4.1%), and 3 or more vehicles in household (19.6% compared to 18.1%, a difference of 8.4%).
Vehicle Availability Metric | Peruvian | Mongolian |
No Vehicles Available | Tragic 11.2% | Tragic 13.1% |
1+ Vehicles Available | Tragic 88.8% | Tragic 87.0% |
2+ Vehicles Available | Fair 55.0% | Tragic 52.8% |
3+ Vehicles Available | Average 19.6% | Tragic 18.1% |
4+ Vehicles Available | Good 6.5% | Tragic 5.8% |
Peruvian vs Mongolian Education Level
When considering education level, the most significant differences between Peruvian and Mongolian communities in the United States are seen in doctorate degree (1.8% compared to 2.8%, a difference of 53.7%), professional degree (4.5% compared to 6.1%, a difference of 36.1%), and master's degree (15.3% compared to 19.4%, a difference of 26.8%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 97.9%, a difference of 0.27%), kindergarten (97.6% compared to 97.9%, a difference of 0.29%), and 1st grade (97.6% compared to 97.9%, a difference of 0.29%).
Education Level Metric | Peruvian | Mongolian |
No Schooling Completed | Tragic 2.4% | Average 2.1% |
Nursery School | Tragic 97.6% | Fair 97.9% |
Kindergarten | Tragic 97.6% | Fair 97.9% |
1st Grade | Tragic 97.6% | Fair 97.9% |
2nd Grade | Tragic 97.5% | Fair 97.8% |
3rd Grade | Tragic 97.4% | Fair 97.7% |
4th Grade | Tragic 97.1% | Fair 97.5% |
5th Grade | Tragic 96.8% | Fair 97.3% |
6th Grade | Tragic 96.4% | Average 97.0% |
7th Grade | Tragic 95.1% | Average 96.0% |
8th Grade | Tragic 94.7% | Average 95.8% |
9th Grade | Tragic 93.8% | Good 95.0% |
10th Grade | Tragic 92.6% | Good 94.0% |
11th Grade | Tragic 91.5% | Excellent 93.0% |
12th Grade, No Diploma | Tragic 90.2% | Excellent 91.8% |
High School Diploma | Tragic 87.8% | Exceptional 89.9% |
GED/Equivalency | Tragic 84.7% | Exceptional 87.0% |
College, Under 1 year | Poor 64.1% | Exceptional 69.9% |
College, 1 year or more | Fair 58.6% | Exceptional 64.8% |
Associate's Degree | Average 46.4% | Exceptional 53.0% |
Bachelor's Degree | Good 38.3% | Exceptional 45.4% |
Master's Degree | Good 15.3% | Exceptional 19.4% |
Professional Degree | Good 4.5% | Exceptional 6.1% |
Doctorate Degree | Fair 1.8% | Exceptional 2.8% |
Peruvian vs Mongolian Disability
When considering disability, the most significant differences between Peruvian and Mongolian communities in the United States are seen in disability age under 5 (1.3% compared to 1.1%, a difference of 9.5%), vision disability (2.1% compared to 1.9%, a difference of 7.3%), and cognitive disability (16.7% compared to 17.7%, a difference of 6.4%). Conversely, both communities are more comparable in terms of hearing disability (2.7% compared to 2.7%, a difference of 0.33%), male disability (10.4% compared to 10.3%, a difference of 0.71%), and disability age 5 to 17 (5.3% compared to 5.3%, a difference of 0.84%).
Disability Metric | Peruvian | Mongolian |
Disability | Exceptional 10.9% | Exceptional 10.8% |
Males | Exceptional 10.4% | Exceptional 10.3% |
Females | Exceptional 11.3% | Exceptional 11.2% |
Age | Under 5 years | Fair 1.3% | Exceptional 1.1% |
Age | 5 to 17 years | Exceptional 5.3% | Exceptional 5.3% |
Age | 18 to 34 years | Exceptional 6.0% | Exceptional 6.2% |
Age | 35 to 64 years | Exceptional 9.9% | Exceptional 10.1% |
Age | 65 to 74 years | Exceptional 22.2% | Exceptional 21.8% |
Age | Over 75 years | Excellent 46.8% | Exceptional 46.3% |
Vision | Exceptional 2.1% | Exceptional 1.9% |
Hearing | Exceptional 2.7% | Exceptional 2.7% |
Cognitive | Exceptional 16.7% | Tragic 17.7% |
Ambulatory | Exceptional 5.7% | Exceptional 5.5% |
Self-Care | Exceptional 2.4% | Exceptional 2.3% |