Peruvian vs Bhutanese Community Comparison
COMPARE
Peruvian
Bhutanese
Social Comparison
Social Comparison
Peruvians
Bhutanese
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
10,144
SOCIAL INDEX
98.9/ 100
SOCIAL RATING
3rd/ 347
SOCIAL RANK
Bhutanese Integration in Peruvian Communities
The statistical analysis conducted on geographies consisting of 334,541,472 people shows a poor positive correlation between the proportion of Bhutanese within Peruvian communities in the United States with a correlation coefficient (R) of 0.136. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.025% in Bhutanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 25.1 Bhutanese.
Peruvian vs Bhutanese Income
When considering income, the most significant differences between Peruvian and Bhutanese communities in the United States are seen in householder income over 65 years ($62,766 compared to $72,288, a difference of 15.2%), median family income ($105,444 compared to $119,800, a difference of 13.6%), and per capita income ($44,479 compared to $49,894, a difference of 12.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($56,052 compared to $57,078, a difference of 1.8%), wage/income gap (25.6% compared to 27.0%, a difference of 5.4%), and median female earnings ($40,234 compared to $43,648, a difference of 8.5%).
Income Metric | Peruvian | Bhutanese |
Per Capita Income | Good $44,479 | Exceptional $49,894 |
Median Family Income | Excellent $105,444 | Exceptional $119,800 |
Median Household Income | Exceptional $90,261 | Exceptional $100,151 |
Median Earnings | Excellent $47,628 | Exceptional $52,297 |
Median Male Earnings | Good $55,659 | Exceptional $61,759 |
Median Female Earnings | Good $40,234 | Exceptional $43,648 |
Householder Age | Under 25 years | Exceptional $56,052 | Exceptional $57,078 |
Householder Age | 25 - 44 years | Exceptional $98,886 | Exceptional $109,520 |
Householder Age | 45 - 64 years | Exceptional $105,070 | Exceptional $117,750 |
Householder Age | Over 65 years | Excellent $62,766 | Exceptional $72,288 |
Wage/Income Gap | Good 25.6% | Tragic 27.0% |
Peruvian vs Bhutanese Poverty
When considering poverty, the most significant differences between Peruvian and Bhutanese communities in the United States are seen in married-couple family poverty (5.3% compared to 4.1%, a difference of 29.3%), receiving food stamps (11.7% compared to 9.2%, a difference of 27.5%), and seniors poverty over the age of 75 (13.4% compared to 10.6%, a difference of 26.4%). Conversely, both communities are more comparable in terms of single father poverty (15.4% compared to 15.0%, a difference of 3.0%), female poverty among 18-24 year olds (17.2% compared to 18.2%, a difference of 5.7%), and single male poverty (11.8% compared to 11.1%, a difference of 6.4%).
Poverty Metric | Peruvian | Bhutanese |
Poverty | Excellent 11.8% | Exceptional 10.4% |
Families | Good 8.8% | Exceptional 7.0% |
Males | Excellent 10.7% | Exceptional 9.5% |
Females | Excellent 12.9% | Exceptional 11.3% |
Females 18 to 24 years | Exceptional 17.2% | Exceptional 18.2% |
Females 25 to 34 years | Exceptional 12.7% | Exceptional 11.4% |
Children Under 5 years | Exceptional 16.0% | Exceptional 13.4% |
Children Under 16 years | Excellent 15.3% | Exceptional 12.5% |
Boys Under 16 years | Excellent 15.5% | Exceptional 12.6% |
Girls Under 16 years | Exceptional 15.4% | Exceptional 12.7% |
Single Males | Exceptional 11.8% | Exceptional 11.1% |
Single Females | Exceptional 19.4% | Exceptional 17.7% |
Single Fathers | Exceptional 15.4% | Exceptional 15.0% |
Single Mothers | Exceptional 27.5% | Exceptional 25.6% |
Married Couples | Fair 5.3% | Exceptional 4.1% |
Seniors Over 65 years | Tragic 11.7% | Exceptional 9.3% |
Seniors Over 75 years | Tragic 13.4% | Exceptional 10.6% |
Receiving Food Stamps | Average 11.7% | Exceptional 9.2% |
Peruvian vs Bhutanese Unemployment
When considering unemployment, the most significant differences between Peruvian and Bhutanese communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.2% compared to 8.1%, a difference of 14.1%), unemployment among women with children under 18 years (5.6% compared to 5.0%, a difference of 13.1%), and unemployment among seniors over 75 years (9.0% compared to 8.0%, a difference of 12.3%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.5% compared to 10.0%, a difference of 4.8%), unemployment among ages 30 to 34 years (5.5% compared to 5.2%, a difference of 4.8%), and unemployment among ages 55 to 59 years (4.8% compared to 4.6%, a difference of 5.1%).
Unemployment Metric | Peruvian | Bhutanese |
Unemployment | Fair 5.3% | Exceptional 4.9% |
Males | Average 5.3% | Exceptional 4.9% |
Females | Tragic 5.4% | Exceptional 4.9% |
Youth < 25 | Poor 11.8% | Exceptional 11.2% |
Age | 16 to 19 years | Fair 17.7% | Exceptional 16.4% |
Age | 20 to 24 years | Poor 10.5% | Exceptional 10.0% |
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 4.4% |
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 4.5% |
Age | 65 to 74 years | Tragic 5.5% | Exceptional 5.0% |
Seniors > 65 | Tragic 5.3% | Exceptional 4.8% |
Seniors > 75 | Tragic 9.0% | Exceptional 8.0% |
Women w/ Children < 6 | Good 7.5% | Exceptional 6.7% |
Women w/ Children 6 to 17 | Tragic 9.2% | Exceptional 8.1% |
Women w/ Children < 18 | Poor 5.6% | Exceptional 5.0% |
Peruvian vs Bhutanese Labor Participation
When considering labor participation, the most significant differences between Peruvian and Bhutanese communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 36.3%, a difference of 4.9%), in labor force | age > 16 (66.3% compared to 65.5%, a difference of 1.3%), and in labor force | age 20-24 (74.5% compared to 75.4%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.6% compared to 83.5%, a difference of 0.060%), in labor force | age 20-64 (80.3% compared to 80.2%, a difference of 0.10%), and in labor force | age 25-29 (84.7% compared to 84.8%, a difference of 0.10%).
Labor Participation Metric | Peruvian | Bhutanese |
In Labor Force | Age > 16 | Exceptional 66.3% | Excellent 65.5% |
In Labor Force | Age 20-64 | Exceptional 80.3% | Exceptional 80.2% |
In Labor Force | Age 16-19 | Tragic 34.6% | Fair 36.3% |
In Labor Force | Age 20-24 | Poor 74.5% | Excellent 75.4% |
In Labor Force | Age 25-29 | Good 84.7% | Good 84.8% |
In Labor Force | Age 30-34 | Good 84.8% | Excellent 85.0% |
In Labor Force | Age 35-44 | Exceptional 84.9% | Excellent 84.7% |
In Labor Force | Age 45-54 | Exceptional 83.6% | Exceptional 83.5% |
Peruvian vs Bhutanese Family Structure
When considering family structure, the most significant differences between Peruvian and Bhutanese communities in the United States are seen in single mother households (6.5% compared to 5.3%, a difference of 23.8%), births to unmarried women (31.5% compared to 27.9%, a difference of 13.0%), and single father households (2.4% compared to 2.1%, a difference of 12.6%). Conversely, both communities are more comparable in terms of average family size (3.30 compared to 3.25, a difference of 1.5%), family households (67.1% compared to 65.9%, a difference of 1.9%), and married-couple households (47.6% compared to 49.3%, a difference of 3.4%).
Family Structure Metric | Peruvian | Bhutanese |
Family Households | Exceptional 67.1% | Exceptional 65.9% |
Family Households with Children | Exceptional 29.0% | Fair 27.3% |
Married-couple Households | Exceptional 47.6% | Exceptional 49.3% |
Average Family Size | Exceptional 3.30 | Excellent 3.25 |
Single Father Households | Fair 2.4% | Exceptional 2.1% |
Single Mother Households | Fair 6.5% | Exceptional 5.3% |
Currently Married | Average 46.6% | Exceptional 48.6% |
Divorced or Separated | Excellent 11.9% | Exceptional 11.2% |
Births to Unmarried Women | Average 31.5% | Exceptional 27.9% |
Peruvian vs Bhutanese Vehicle Availability
When considering vehicle availability, the most significant differences between Peruvian and Bhutanese communities in the United States are seen in no vehicles in household (11.2% compared to 8.7%, a difference of 29.1%), 4 or more vehicles in household (6.5% compared to 7.8%, a difference of 20.8%), and 3 or more vehicles in household (19.6% compared to 22.2%, a difference of 13.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 91.4%, a difference of 2.9%), 2 or more vehicles in household (55.0% compared to 59.1%, a difference of 7.5%), and 3 or more vehicles in household (19.6% compared to 22.2%, a difference of 13.3%).
Vehicle Availability Metric | Peruvian | Bhutanese |
No Vehicles Available | Tragic 11.2% | Exceptional 8.7% |
1+ Vehicles Available | Tragic 88.8% | Exceptional 91.4% |
2+ Vehicles Available | Fair 55.0% | Exceptional 59.1% |
3+ Vehicles Available | Average 19.6% | Exceptional 22.2% |
4+ Vehicles Available | Good 6.5% | Exceptional 7.8% |
Peruvian vs Bhutanese Education Level
When considering education level, the most significant differences between Peruvian and Bhutanese communities in the United States are seen in no schooling completed (2.4% compared to 1.8%, a difference of 32.7%), doctorate degree (1.8% compared to 2.3%, a difference of 29.3%), and professional degree (4.5% compared to 5.4%, a difference of 20.7%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.2%, a difference of 0.62%), kindergarten (97.6% compared to 98.2%, a difference of 0.63%), and 1st grade (97.6% compared to 98.2%, a difference of 0.63%).
Education Level Metric | Peruvian | Bhutanese |
No Schooling Completed | Tragic 2.4% | Exceptional 1.8% |
Nursery School | Tragic 97.6% | Exceptional 98.2% |
Kindergarten | Tragic 97.6% | Exceptional 98.2% |
1st Grade | Tragic 97.6% | Exceptional 98.2% |
2nd Grade | Tragic 97.5% | Exceptional 98.1% |
3rd Grade | Tragic 97.4% | Exceptional 98.1% |
4th Grade | Tragic 97.1% | Exceptional 97.9% |
5th Grade | Tragic 96.8% | Exceptional 97.7% |
6th Grade | Tragic 96.4% | Exceptional 97.5% |
7th Grade | Tragic 95.1% | Exceptional 96.6% |
8th Grade | Tragic 94.7% | Exceptional 96.4% |
9th Grade | Tragic 93.8% | Exceptional 95.7% |
10th Grade | Tragic 92.6% | Exceptional 94.9% |
11th Grade | Tragic 91.5% | Exceptional 94.0% |
12th Grade, No Diploma | Tragic 90.2% | Exceptional 93.0% |
High School Diploma | Tragic 87.8% | Exceptional 91.2% |
GED/Equivalency | Tragic 84.7% | Exceptional 88.4% |
College, Under 1 year | Poor 64.1% | Exceptional 70.3% |
College, 1 year or more | Fair 58.6% | Exceptional 64.6% |
Associate's Degree | Average 46.4% | Exceptional 51.4% |
Bachelor's Degree | Good 38.3% | Exceptional 42.7% |
Master's Degree | Good 15.3% | Exceptional 17.2% |
Professional Degree | Good 4.5% | Exceptional 5.4% |
Doctorate Degree | Fair 1.8% | Exceptional 2.3% |
Peruvian vs Bhutanese Disability
When considering disability, the most significant differences between Peruvian and Bhutanese communities in the United States are seen in hearing disability (2.7% compared to 3.2%, a difference of 17.5%), disability age 5 to 17 (5.3% compared to 4.9%, a difference of 8.6%), and disability age under 5 (1.3% compared to 1.2%, a difference of 7.2%). Conversely, both communities are more comparable in terms of disability age 35 to 64 (9.9% compared to 9.8%, a difference of 0.17%), disability age over 75 (46.8% compared to 47.1%, a difference of 0.50%), and self-care disability (2.4% compared to 2.4%, a difference of 0.61%).
Disability Metric | Peruvian | Bhutanese |
Disability | Exceptional 10.9% | Exceptional 11.2% |
Males | Exceptional 10.4% | Excellent 11.0% |
Females | Exceptional 11.3% | Exceptional 11.5% |
Age | Under 5 years | Fair 1.3% | Exceptional 1.2% |
Age | 5 to 17 years | Exceptional 5.3% | Exceptional 4.9% |
Age | 18 to 34 years | Exceptional 6.0% | Exceptional 6.2% |
Age | 35 to 64 years | Exceptional 9.9% | Exceptional 9.8% |
Age | 65 to 74 years | Exceptional 22.2% | Exceptional 21.5% |
Age | Over 75 years | Excellent 46.8% | Good 47.1% |
Vision | Exceptional 2.1% | Exceptional 2.0% |
Hearing | Exceptional 2.7% | Tragic 3.2% |
Cognitive | Exceptional 16.7% | Exceptional 16.6% |
Ambulatory | Exceptional 5.7% | Exceptional 5.8% |
Self-Care | Exceptional 2.4% | Exceptional 2.4% |