Indian (Asian) vs Peruvian Community Comparison
COMPARE
Indian (Asian)
Peruvian
Social Comparison
Social Comparison
Indians (Asian)
Peruvians
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
Peruvian Integration in Indian (Asian) Communities
The statistical analysis conducted on geographies consisting of 352,898,970 people shows a slight negative correlation between the proportion of Peruvians within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.099. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.001% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 1.3 Peruvians.
Indian (Asian) vs Peruvian Income
When considering income, the most significant differences between Indian (Asian) and Peruvian communities in the United States are seen in per capita income ($53,874 compared to $44,479, a difference of 21.1%), householder income ages 25 - 44 years ($119,496 compared to $98,886, a difference of 20.8%), and median family income ($125,312 compared to $105,444, a difference of 18.8%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 25.6%, a difference of 3.3%), householder income under 25 years ($58,239 compared to $56,052, a difference of 3.9%), and householder income over 65 years ($70,238 compared to $62,766, a difference of 11.9%).
Income Metric | Indian (Asian) | Peruvian |
Per Capita Income | Exceptional $53,874 | Good $44,479 |
Median Family Income | Exceptional $125,312 | Excellent $105,444 |
Median Household Income | Exceptional $105,262 | Exceptional $90,261 |
Median Earnings | Exceptional $56,253 | Excellent $47,628 |
Median Male Earnings | Exceptional $66,078 | Good $55,659 |
Median Female Earnings | Exceptional $46,481 | Good $40,234 |
Householder Age | Under 25 years | Exceptional $58,239 | Exceptional $56,052 |
Householder Age | 25 - 44 years | Exceptional $119,496 | Exceptional $98,886 |
Householder Age | 45 - 64 years | Exceptional $122,343 | Exceptional $105,070 |
Householder Age | Over 65 years | Exceptional $70,238 | Excellent $62,766 |
Wage/Income Gap | Poor 26.4% | Good 25.6% |
Indian (Asian) vs Peruvian Poverty
When considering poverty, the most significant differences between Indian (Asian) and Peruvian communities in the United States are seen in receiving food stamps (9.6% compared to 11.7%, a difference of 22.0%), child poverty under the age of 5 (13.4% compared to 16.0%, a difference of 18.9%), and child poverty among boys under 16 (13.3% compared to 15.5%, a difference of 16.9%). Conversely, both communities are more comparable in terms of male poverty (10.4% compared to 10.7%, a difference of 2.7%), poverty (11.3% compared to 11.8%, a difference of 4.2%), and single father poverty (14.8% compared to 15.4%, a difference of 4.3%).
Poverty Metric | Indian (Asian) | Peruvian |
Poverty | Exceptional 11.3% | Excellent 11.8% |
Families | Exceptional 7.7% | Good 8.8% |
Males | Exceptional 10.4% | Excellent 10.7% |
Females | Exceptional 12.2% | Excellent 12.9% |
Females 18 to 24 years | Excellent 19.6% | Exceptional 17.2% |
Females 25 to 34 years | Exceptional 11.2% | Exceptional 12.7% |
Children Under 5 years | Exceptional 13.4% | Exceptional 16.0% |
Children Under 16 years | Exceptional 13.1% | Excellent 15.3% |
Boys Under 16 years | Exceptional 13.3% | Excellent 15.5% |
Girls Under 16 years | Exceptional 13.3% | Exceptional 15.4% |
Single Males | Exceptional 11.3% | Exceptional 11.8% |
Single Females | Exceptional 17.9% | Exceptional 19.4% |
Single Fathers | Exceptional 14.8% | Exceptional 15.4% |
Single Mothers | Exceptional 25.8% | Exceptional 27.5% |
Married Couples | Exceptional 4.8% | Fair 5.3% |
Seniors Over 65 years | Fair 11.1% | Tragic 11.7% |
Seniors Over 75 years | Tragic 12.7% | Tragic 13.4% |
Receiving Food Stamps | Exceptional 9.6% | Average 11.7% |
Indian (Asian) vs Peruvian Unemployment
When considering unemployment, the most significant differences between Indian (Asian) and Peruvian communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.5%, a difference of 19.5%), unemployment among women with children ages 6 to 17 years (7.7% compared to 9.2%, a difference of 19.0%), and unemployment among women with children under 18 years (4.9% compared to 5.6%, a difference of 14.8%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 5.0%, a difference of 0.27%), male unemployment (5.2% compared to 5.3%, a difference of 1.6%), and unemployment among ages 45 to 54 years (4.5% compared to 4.6%, a difference of 1.8%).
Unemployment Metric | Indian (Asian) | Peruvian |
Unemployment | Excellent 5.1% | Fair 5.3% |
Males | Good 5.2% | Average 5.3% |
Females | Excellent 5.1% | Tragic 5.4% |
Youth < 25 | Good 11.5% | Poor 11.8% |
Age | 16 to 19 years | Good 17.3% | Fair 17.7% |
Age | 20 to 24 years | Good 10.3% | Poor 10.5% |
Age | 25 to 29 years | Exceptional 6.3% | Good 6.6% |
Age | 30 to 34 years | Exceptional 5.1% | Average 5.5% |
Age | 35 to 44 years | Exceptional 4.4% | Average 4.7% |
Age | 45 to 54 years | Good 4.5% | Fair 4.6% |
Age | 55 to 59 years | Tragic 4.9% | Fair 4.8% |
Age | 60 to 64 years | Tragic 5.0% | Tragic 5.0% |
Age | 65 to 74 years | Average 5.3% | Tragic 5.5% |
Seniors > 65 | Average 5.2% | Tragic 5.3% |
Seniors > 75 | Exceptional 8.0% | Tragic 9.0% |
Women w/ Children < 6 | Exceptional 6.3% | Good 7.5% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Tragic 9.2% |
Women w/ Children < 18 | Exceptional 4.9% | Poor 5.6% |
Indian (Asian) vs Peruvian Labor Participation
When considering labor participation, the most significant differences between Indian (Asian) and Peruvian communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 34.6%, a difference of 8.6%), in labor force | age 20-24 (71.9% compared to 74.5%, a difference of 3.7%), and in labor force | age > 16 (65.5% compared to 66.3%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.7%, a difference of 0.020%), in labor force | age 35-44 (84.8% compared to 84.9%, a difference of 0.14%), and in labor force | age 45-54 (83.3% compared to 83.6%, a difference of 0.29%).
Labor Participation Metric | Indian (Asian) | Peruvian |
In Labor Force | Age > 16 | Excellent 65.5% | Exceptional 66.3% |
In Labor Force | Age 20-64 | Excellent 79.9% | Exceptional 80.3% |
In Labor Force | Age 16-19 | Tragic 31.9% | Tragic 34.6% |
In Labor Force | Age 20-24 | Tragic 71.9% | Poor 74.5% |
In Labor Force | Age 25-29 | Good 84.7% | Good 84.7% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Good 84.8% |
In Labor Force | Age 35-44 | Exceptional 84.8% | Exceptional 84.9% |
In Labor Force | Age 45-54 | Exceptional 83.3% | Exceptional 83.6% |
Indian (Asian) vs Peruvian Family Structure
When considering family structure, the most significant differences between Indian (Asian) and Peruvian communities in the United States are seen in single mother households (5.1% compared to 6.5%, a difference of 27.9%), single father households (1.9% compared to 2.4%, a difference of 24.9%), and births to unmarried women (25.3% compared to 31.5%, a difference of 24.7%). Conversely, both communities are more comparable in terms of average family size (3.24 compared to 3.30, a difference of 1.7%), married-couple households (48.7% compared to 47.6%, a difference of 2.3%), and currently married (48.0% compared to 46.6%, a difference of 2.9%).
Family Structure Metric | Indian (Asian) | Peruvian |
Family Households | Exceptional 65.1% | Exceptional 67.1% |
Family Households with Children | Good 27.6% | Exceptional 29.0% |
Married-couple Households | Exceptional 48.7% | Exceptional 47.6% |
Average Family Size | Good 3.24 | Exceptional 3.30 |
Single Father Households | Exceptional 1.9% | Fair 2.4% |
Single Mother Households | Exceptional 5.1% | Fair 6.5% |
Currently Married | Exceptional 48.0% | Average 46.6% |
Divorced or Separated | Exceptional 10.2% | Excellent 11.9% |
Births to Unmarried Women | Exceptional 25.3% | Average 31.5% |
Indian (Asian) vs Peruvian Vehicle Availability
When considering vehicle availability, the most significant differences between Indian (Asian) and Peruvian communities in the United States are seen in no vehicles in household (14.1% compared to 11.2%, a difference of 25.0%), 2 or more vehicles in household (53.1% compared to 55.0%, a difference of 3.5%), and 1 or more vehicles in household (86.0% compared to 88.8%, a difference of 3.3%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.4% compared to 6.5%, a difference of 0.36%), 3 or more vehicles in household (19.1% compared to 19.6%, a difference of 2.7%), and 1 or more vehicles in household (86.0% compared to 88.8%, a difference of 3.3%).
Vehicle Availability Metric | Indian (Asian) | Peruvian |
No Vehicles Available | Tragic 14.1% | Tragic 11.2% |
1+ Vehicles Available | Tragic 86.0% | Tragic 88.8% |
2+ Vehicles Available | Tragic 53.1% | Fair 55.0% |
3+ Vehicles Available | Fair 19.1% | Average 19.6% |
4+ Vehicles Available | Good 6.4% | Good 6.5% |
Indian (Asian) vs Peruvian Education Level
When considering education level, the most significant differences between Indian (Asian) and Peruvian communities in the United States are seen in doctorate degree (2.9% compared to 1.8%, a difference of 62.1%), professional degree (6.5% compared to 4.5%, a difference of 44.7%), and master's degree (20.5% compared to 15.3%, a difference of 33.7%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 97.6%, a difference of 0.0%), kindergarten (97.6% compared to 97.6%, a difference of 0.0%), and 2nd grade (97.5% compared to 97.5%, a difference of 0.030%).
Education Level Metric | Indian (Asian) | Peruvian |
No Schooling Completed | Tragic 2.5% | Tragic 2.4% |
Nursery School | Tragic 97.6% | Tragic 97.6% |
Kindergarten | Tragic 97.6% | Tragic 97.6% |
1st Grade | Tragic 97.5% | Tragic 97.6% |
2nd Grade | Tragic 97.5% | Tragic 97.5% |
3rd Grade | Tragic 97.4% | Tragic 97.4% |
4th Grade | Tragic 97.2% | Tragic 97.1% |
5th Grade | Tragic 96.9% | Tragic 96.8% |
6th Grade | Tragic 96.6% | Tragic 96.4% |
7th Grade | Tragic 95.5% | Tragic 95.1% |
8th Grade | Tragic 95.2% | Tragic 94.7% |
9th Grade | Tragic 94.5% | Tragic 93.8% |
10th Grade | Poor 93.4% | Tragic 92.6% |
11th Grade | Average 92.5% | Tragic 91.5% |
12th Grade, No Diploma | Good 91.5% | Tragic 90.2% |
High School Diploma | Good 89.6% | Tragic 87.8% |
GED/Equivalency | Exceptional 87.1% | Tragic 84.7% |
College, Under 1 year | Exceptional 70.8% | Poor 64.1% |
College, 1 year or more | Exceptional 66.1% | Fair 58.6% |
Associate's Degree | Exceptional 54.8% | Average 46.4% |
Bachelor's Degree | Exceptional 47.4% | Good 38.3% |
Master's Degree | Exceptional 20.5% | Good 15.3% |
Professional Degree | Exceptional 6.5% | Good 4.5% |
Doctorate Degree | Exceptional 2.9% | Fair 1.8% |
Indian (Asian) vs Peruvian Disability
When considering disability, the most significant differences between Indian (Asian) and Peruvian communities in the United States are seen in disability age under 5 (1.0% compared to 1.3%, a difference of 25.2%), disability age 5 to 17 (4.6% compared to 5.3%, a difference of 16.3%), and vision disability (1.8% compared to 2.1%, a difference of 12.2%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 46.8%, a difference of 0.72%), hearing disability (2.7% compared to 2.7%, a difference of 0.90%), and cognitive disability (16.8% compared to 16.7%, a difference of 1.0%).
Disability Metric | Indian (Asian) | Peruvian |
Disability | Exceptional 10.3% | Exceptional 10.9% |
Males | Exceptional 9.7% | Exceptional 10.4% |
Females | Exceptional 10.8% | Exceptional 11.3% |
Age | Under 5 years | Exceptional 1.0% | Fair 1.3% |
Age | 5 to 17 years | Exceptional 4.6% | Exceptional 5.3% |
Age | 18 to 34 years | Exceptional 5.5% | Exceptional 6.0% |
Age | 35 to 64 years | Exceptional 8.9% | Exceptional 9.9% |
Age | 65 to 74 years | Exceptional 20.5% | Exceptional 22.2% |
Age | Over 75 years | Exceptional 46.5% | Excellent 46.8% |
Vision | Exceptional 1.8% | Exceptional 2.1% |
Hearing | Exceptional 2.7% | Exceptional 2.7% |
Cognitive | Exceptional 16.8% | Exceptional 16.7% |
Ambulatory | Exceptional 5.4% | Exceptional 5.7% |
Self-Care | Exceptional 2.3% | Exceptional 2.4% |