Bangladeshi vs Peruvian Community Comparison
COMPARE
Bangladeshi
Peruvian
Social Comparison
Social Comparison
Bangladeshis
Peruvians
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
Peruvian Integration in Bangladeshi Communities
The statistical analysis conducted on geographies consisting of 121,358,445 people shows a poor negative correlation between the proportion of Peruvians within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.195. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.003% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 3.1 Peruvians.
Bangladeshi vs Peruvian Income
When considering income, the most significant differences between Bangladeshi and Peruvian communities in the United States are seen in per capita income ($35,897 compared to $44,479, a difference of 23.9%), median household income ($74,112 compared to $90,261, a difference of 21.8%), and householder income ages 45 - 64 years ($86,402 compared to $105,070, a difference of 21.6%). Conversely, both communities are more comparable in terms of median female earnings ($35,960 compared to $40,234, a difference of 11.9%), householder income over 65 years ($54,719 compared to $62,766, a difference of 14.7%), and median earnings ($41,263 compared to $47,628, a difference of 15.4%).
Income Metric | Bangladeshi | Peruvian |
Per Capita Income | Tragic $35,897 | Good $44,479 |
Median Family Income | Tragic $88,358 | Excellent $105,444 |
Median Household Income | Tragic $74,112 | Exceptional $90,261 |
Median Earnings | Tragic $41,263 | Excellent $47,628 |
Median Male Earnings | Tragic $46,744 | Good $55,659 |
Median Female Earnings | Tragic $35,960 | Good $40,234 |
Householder Age | Under 25 years | Tragic $47,589 | Exceptional $56,052 |
Householder Age | 25 - 44 years | Tragic $81,363 | Exceptional $98,886 |
Householder Age | 45 - 64 years | Tragic $86,402 | Exceptional $105,070 |
Householder Age | Over 65 years | Tragic $54,719 | Excellent $62,766 |
Wage/Income Gap | Exceptional 22.2% | Good 25.6% |
Bangladeshi vs Peruvian Poverty
When considering poverty, the most significant differences between Bangladeshi and Peruvian communities in the United States are seen in female poverty among 18-24 year olds (22.5% compared to 17.2%, a difference of 30.4%), child poverty under the age of 16 (19.9% compared to 15.3%, a difference of 30.3%), and child poverty among girls under 16 (20.0% compared to 15.4%, a difference of 30.2%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.4%, a difference of 1.5%), seniors poverty over the age of 65 (11.2% compared to 11.7%, a difference of 4.4%), and seniors poverty over the age of 75 (12.0% compared to 13.4%, a difference of 11.7%).
Poverty Metric | Bangladeshi | Peruvian |
Poverty | Tragic 14.8% | Excellent 11.8% |
Families | Tragic 10.9% | Good 8.8% |
Males | Tragic 13.6% | Excellent 10.7% |
Females | Tragic 16.0% | Excellent 12.9% |
Females 18 to 24 years | Tragic 22.5% | Exceptional 17.2% |
Females 25 to 34 years | Tragic 15.9% | Exceptional 12.7% |
Children Under 5 years | Tragic 20.6% | Exceptional 16.0% |
Children Under 16 years | Tragic 19.9% | Excellent 15.3% |
Boys Under 16 years | Tragic 20.0% | Excellent 15.5% |
Girls Under 16 years | Tragic 20.0% | Exceptional 15.4% |
Single Males | Tragic 13.3% | Exceptional 11.8% |
Single Females | Tragic 24.2% | Exceptional 19.4% |
Single Fathers | Exceptional 15.2% | Exceptional 15.4% |
Single Mothers | Tragic 31.7% | Exceptional 27.5% |
Married Couples | Tragic 6.0% | Fair 5.3% |
Seniors Over 65 years | Fair 11.2% | Tragic 11.7% |
Seniors Over 75 years | Good 12.0% | Tragic 13.4% |
Receiving Food Stamps | Tragic 15.0% | Average 11.7% |
Bangladeshi vs Peruvian Unemployment
When considering unemployment, the most significant differences between Bangladeshi and Peruvian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 9.2%, a difference of 25.1%), unemployment among ages 60 to 64 years (4.6% compared to 5.0%, a difference of 10.1%), and male unemployment (5.7% compared to 5.3%, a difference of 7.2%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.5% compared to 7.5%, a difference of 0.22%), unemployment among ages 25 to 29 years (6.6% compared to 6.6%, a difference of 1.1%), and unemployment among ages 45 to 54 years (4.5% compared to 4.6%, a difference of 1.4%).
Unemployment Metric | Bangladeshi | Peruvian |
Unemployment | Poor 5.4% | Fair 5.3% |
Males | Tragic 5.7% | Average 5.3% |
Females | Good 5.2% | Tragic 5.4% |
Youth < 25 | Average 11.6% | Poor 11.8% |
Age | 16 to 19 years | Exceptional 16.9% | Fair 17.7% |
Age | 20 to 24 years | Exceptional 10.0% | Poor 10.5% |
Age | 25 to 29 years | Average 6.6% | Good 6.6% |
Age | 30 to 34 years | Good 5.3% | Average 5.5% |
Age | 35 to 44 years | Fair 4.8% | Average 4.7% |
Age | 45 to 54 years | Average 4.5% | Fair 4.6% |
Age | 55 to 59 years | Exceptional 4.7% | Fair 4.8% |
Age | 60 to 64 years | Exceptional 4.6% | Tragic 5.0% |
Age | 65 to 74 years | Good 5.3% | Tragic 5.5% |
Seniors > 65 | Fair 5.2% | Tragic 5.3% |
Seniors > 75 | Tragic 9.6% | Tragic 9.0% |
Women w/ Children < 6 | Good 7.5% | Good 7.5% |
Women w/ Children 6 to 17 | Exceptional 7.4% | Tragic 9.2% |
Women w/ Children < 18 | Good 5.3% | Poor 5.6% |
Bangladeshi vs Peruvian Labor Participation
When considering labor participation, the most significant differences between Bangladeshi and Peruvian communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 34.6%, a difference of 22.7%), in labor force | age 20-24 (78.1% compared to 74.5%, a difference of 4.8%), and in labor force | age 45-54 (81.3% compared to 83.6%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 84.7%, a difference of 0.39%), in labor force | age > 16 (65.9% compared to 66.3%, a difference of 0.51%), and in labor force | age 30-34 (84.3% compared to 84.8%, a difference of 0.52%).
Labor Participation Metric | Bangladeshi | Peruvian |
In Labor Force | Age > 16 | Exceptional 65.9% | Exceptional 66.3% |
In Labor Force | Age 20-64 | Poor 79.3% | Exceptional 80.3% |
In Labor Force | Age 16-19 | Exceptional 42.5% | Tragic 34.6% |
In Labor Force | Age 20-24 | Exceptional 78.1% | Poor 74.5% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Good 84.7% |
In Labor Force | Age 30-34 | Tragic 84.3% | Good 84.8% |
In Labor Force | Age 35-44 | Poor 84.1% | Exceptional 84.9% |
In Labor Force | Age 45-54 | Tragic 81.3% | Exceptional 83.6% |
Bangladeshi vs Peruvian Family Structure
When considering family structure, the most significant differences between Bangladeshi and Peruvian communities in the United States are seen in single father households (3.1% compared to 2.4%, a difference of 29.0%), single mother households (8.1% compared to 6.5%, a difference of 24.6%), and married-couple households (43.5% compared to 47.6%, a difference of 9.4%). Conversely, both communities are more comparable in terms of average family size (3.37 compared to 3.30, a difference of 2.1%), divorced or separated (12.3% compared to 11.9%, a difference of 3.2%), and family households with children (30.1% compared to 29.0%, a difference of 3.8%).
Family Structure Metric | Bangladeshi | Peruvian |
Family Households | Average 64.3% | Exceptional 67.1% |
Family Households with Children | Exceptional 30.1% | Exceptional 29.0% |
Married-couple Households | Tragic 43.5% | Exceptional 47.6% |
Average Family Size | Exceptional 3.37 | Exceptional 3.30 |
Single Father Households | Tragic 3.1% | Fair 2.4% |
Single Mother Households | Tragic 8.1% | Fair 6.5% |
Currently Married | Tragic 43.7% | Average 46.6% |
Divorced or Separated | Poor 12.3% | Excellent 11.9% |
Births to Unmarried Women | Tragic 34.4% | Average 31.5% |
Bangladeshi vs Peruvian Vehicle Availability
When considering vehicle availability, the most significant differences between Bangladeshi and Peruvian communities in the United States are seen in no vehicles in household (8.7% compared to 11.2%, a difference of 29.8%), 4 or more vehicles in household (7.6% compared to 6.5%, a difference of 17.0%), and 3 or more vehicles in household (21.9% compared to 19.6%, a difference of 11.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 88.8%, a difference of 2.9%), 2 or more vehicles in household (58.4% compared to 55.0%, a difference of 6.3%), and 3 or more vehicles in household (21.9% compared to 19.6%, a difference of 11.4%).
Vehicle Availability Metric | Bangladeshi | Peruvian |
No Vehicles Available | Exceptional 8.7% | Tragic 11.2% |
1+ Vehicles Available | Exceptional 91.4% | Tragic 88.8% |
2+ Vehicles Available | Exceptional 58.4% | Fair 55.0% |
3+ Vehicles Available | Exceptional 21.9% | Average 19.6% |
4+ Vehicles Available | Exceptional 7.6% | Good 6.5% |
Bangladeshi vs Peruvian Education Level
When considering education level, the most significant differences between Bangladeshi and Peruvian communities in the United States are seen in no schooling completed (3.5% compared to 2.4%, a difference of 48.3%), doctorate degree (1.2% compared to 1.8%, a difference of 48.2%), and master's degree (10.5% compared to 15.3%, a difference of 46.0%). Conversely, both communities are more comparable in terms of 9th grade (93.4% compared to 93.8%, a difference of 0.35%), 10th grade (92.2% compared to 92.6%, a difference of 0.44%), and 8th grade (94.3% compared to 94.7%, a difference of 0.48%).
Education Level Metric | Bangladeshi | Peruvian |
No Schooling Completed | Tragic 3.5% | Tragic 2.4% |
Nursery School | Tragic 96.6% | Tragic 97.6% |
Kindergarten | Tragic 96.6% | Tragic 97.6% |
1st Grade | Tragic 96.5% | Tragic 97.6% |
2nd Grade | Tragic 96.5% | Tragic 97.5% |
3rd Grade | Tragic 96.3% | Tragic 97.4% |
4th Grade | Tragic 96.1% | Tragic 97.1% |
5th Grade | Tragic 95.9% | Tragic 96.8% |
6th Grade | Tragic 95.7% | Tragic 96.4% |
7th Grade | Tragic 94.5% | Tragic 95.1% |
8th Grade | Tragic 94.3% | Tragic 94.7% |
9th Grade | Tragic 93.4% | Tragic 93.8% |
10th Grade | Tragic 92.2% | Tragic 92.6% |
11th Grade | Tragic 90.9% | Tragic 91.5% |
12th Grade, No Diploma | Tragic 89.3% | Tragic 90.2% |
High School Diploma | Tragic 86.9% | Tragic 87.8% |
GED/Equivalency | Tragic 83.1% | Tragic 84.7% |
College, Under 1 year | Tragic 61.4% | Poor 64.1% |
College, 1 year or more | Tragic 54.5% | Fair 58.6% |
Associate's Degree | Tragic 40.0% | Average 46.4% |
Bachelor's Degree | Tragic 30.2% | Good 38.3% |
Master's Degree | Tragic 10.5% | Good 15.3% |
Professional Degree | Tragic 3.1% | Good 4.5% |
Doctorate Degree | Tragic 1.2% | Fair 1.8% |
Bangladeshi vs Peruvian Disability
When considering disability, the most significant differences between Bangladeshi and Peruvian communities in the United States are seen in disability age 35 to 64 (13.6% compared to 9.9%, a difference of 38.3%), disability age 18 to 34 (7.4% compared to 6.0%, a difference of 23.3%), and disability age 65 to 74 (26.8% compared to 22.2%, a difference of 20.6%). Conversely, both communities are more comparable in terms of disability age under 5 (1.3% compared to 1.3%, a difference of 2.7%), disability age over 75 (49.4% compared to 46.8%, a difference of 5.5%), and disability age 5 to 17 (5.8% compared to 5.3%, a difference of 9.3%).
Disability Metric | Bangladeshi | Peruvian |
Disability | Tragic 12.6% | Exceptional 10.9% |
Males | Tragic 12.0% | Exceptional 10.4% |
Females | Tragic 13.1% | Exceptional 11.3% |
Age | Under 5 years | Poor 1.3% | Fair 1.3% |
Age | 5 to 17 years | Tragic 5.8% | Exceptional 5.3% |
Age | 18 to 34 years | Tragic 7.4% | Exceptional 6.0% |
Age | 35 to 64 years | Tragic 13.6% | Exceptional 9.9% |
Age | 65 to 74 years | Tragic 26.8% | Exceptional 22.2% |
Age | Over 75 years | Tragic 49.4% | Excellent 46.8% |
Vision | Tragic 2.3% | Exceptional 2.1% |
Hearing | Tragic 3.2% | Exceptional 2.7% |
Cognitive | Tragic 18.6% | Exceptional 16.7% |
Ambulatory | Poor 6.3% | Exceptional 5.7% |
Self-Care | Tragic 2.8% | Exceptional 2.4% |