Peruvian vs Bangladeshi Community Comparison
COMPARE
Peruvian
Bangladeshi
Social Comparison
Social Comparison
Peruvians
Bangladeshis
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
Bangladeshi Integration in Peruvian Communities
The statistical analysis conducted on geographies consisting of 121,358,661 people shows a moderate negative correlation between the proportion of Bangladeshis within Peruvian communities in the United States with a correlation coefficient (R) of -0.426. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is a decrease of 0.040% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to a decrease of 40.3 Bangladeshis.
Peruvian vs Bangladeshi Income
When considering income, the most significant differences between Peruvian and Bangladeshi communities in the United States are seen in per capita income ($44,479 compared to $35,897, a difference of 23.9%), median household income ($90,261 compared to $74,112, a difference of 21.8%), and householder income ages 45 - 64 years ($105,070 compared to $86,402, a difference of 21.6%). Conversely, both communities are more comparable in terms of median female earnings ($40,234 compared to $35,960, a difference of 11.9%), householder income over 65 years ($62,766 compared to $54,719, a difference of 14.7%), and median earnings ($47,628 compared to $41,263, a difference of 15.4%).
Income Metric | Peruvian | Bangladeshi |
Per Capita Income | Good $44,479 | Tragic $35,897 |
Median Family Income | Excellent $105,444 | Tragic $88,358 |
Median Household Income | Exceptional $90,261 | Tragic $74,112 |
Median Earnings | Excellent $47,628 | Tragic $41,263 |
Median Male Earnings | Good $55,659 | Tragic $46,744 |
Median Female Earnings | Good $40,234 | Tragic $35,960 |
Householder Age | Under 25 years | Exceptional $56,052 | Tragic $47,589 |
Householder Age | 25 - 44 years | Exceptional $98,886 | Tragic $81,363 |
Householder Age | 45 - 64 years | Exceptional $105,070 | Tragic $86,402 |
Householder Age | Over 65 years | Excellent $62,766 | Tragic $54,719 |
Wage/Income Gap | Good 25.6% | Exceptional 22.2% |
Peruvian vs Bangladeshi Poverty
When considering poverty, the most significant differences between Peruvian and Bangladeshi communities in the United States are seen in female poverty among 18-24 year olds (17.2% compared to 22.5%, a difference of 30.4%), child poverty under the age of 16 (15.3% compared to 19.9%, a difference of 30.3%), and child poverty among girls under 16 (15.4% compared to 20.0%, a difference of 30.2%). Conversely, both communities are more comparable in terms of single father poverty (15.4% compared to 15.2%, a difference of 1.5%), seniors poverty over the age of 65 (11.7% compared to 11.2%, a difference of 4.4%), and seniors poverty over the age of 75 (13.4% compared to 12.0%, a difference of 11.7%).
Poverty Metric | Peruvian | Bangladeshi |
Poverty | Excellent 11.8% | Tragic 14.8% |
Families | Good 8.8% | Tragic 10.9% |
Males | Excellent 10.7% | Tragic 13.6% |
Females | Excellent 12.9% | Tragic 16.0% |
Females 18 to 24 years | Exceptional 17.2% | Tragic 22.5% |
Females 25 to 34 years | Exceptional 12.7% | Tragic 15.9% |
Children Under 5 years | Exceptional 16.0% | Tragic 20.6% |
Children Under 16 years | Excellent 15.3% | Tragic 19.9% |
Boys Under 16 years | Excellent 15.5% | Tragic 20.0% |
Girls Under 16 years | Exceptional 15.4% | Tragic 20.0% |
Single Males | Exceptional 11.8% | Tragic 13.3% |
Single Females | Exceptional 19.4% | Tragic 24.2% |
Single Fathers | Exceptional 15.4% | Exceptional 15.2% |
Single Mothers | Exceptional 27.5% | Tragic 31.7% |
Married Couples | Fair 5.3% | Tragic 6.0% |
Seniors Over 65 years | Tragic 11.7% | Fair 11.2% |
Seniors Over 75 years | Tragic 13.4% | Good 12.0% |
Receiving Food Stamps | Average 11.7% | Tragic 15.0% |
Peruvian vs Bangladeshi Unemployment
When considering unemployment, the most significant differences between Peruvian and Bangladeshi communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.2% compared to 7.4%, a difference of 25.1%), unemployment among ages 60 to 64 years (5.0% compared to 4.6%, a difference of 10.1%), and male unemployment (5.3% compared to 5.7%, 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 (4.6% compared to 4.5%, a difference of 1.4%).
Unemployment Metric | Peruvian | Bangladeshi |
Unemployment | Fair 5.3% | Poor 5.4% |
Males | Average 5.3% | Tragic 5.7% |
Females | Tragic 5.4% | Good 5.2% |
Youth < 25 | Poor 11.8% | Average 11.6% |
Age | 16 to 19 years | Fair 17.7% | Exceptional 16.9% |
Age | 20 to 24 years | Poor 10.5% | Exceptional 10.0% |
Age | 25 to 29 years | Good 6.6% | Average 6.6% |
Age | 30 to 34 years | Average 5.5% | Good 5.3% |
Age | 35 to 44 years | Average 4.7% | Fair 4.8% |
Age | 45 to 54 years | Fair 4.6% | Average 4.5% |
Age | 55 to 59 years | Fair 4.8% | Exceptional 4.7% |
Age | 60 to 64 years | Tragic 5.0% | Exceptional 4.6% |
Age | 65 to 74 years | Tragic 5.5% | Good 5.3% |
Seniors > 65 | Tragic 5.3% | Fair 5.2% |
Seniors > 75 | Tragic 9.0% | Tragic 9.6% |
Women w/ Children < 6 | Good 7.5% | Good 7.5% |
Women w/ Children 6 to 17 | Tragic 9.2% | Exceptional 7.4% |
Women w/ Children < 18 | Poor 5.6% | Good 5.3% |
Peruvian vs Bangladeshi Labor Participation
When considering labor participation, the most significant differences between Peruvian and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 42.5%, a difference of 22.7%), in labor force | age 20-24 (74.5% compared to 78.1%, a difference of 4.8%), and in labor force | age 45-54 (83.6% compared to 81.3%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 85.1%, a difference of 0.39%), in labor force | age > 16 (66.3% compared to 65.9%, a difference of 0.51%), and in labor force | age 30-34 (84.8% compared to 84.3%, a difference of 0.52%).
Labor Participation Metric | Peruvian | Bangladeshi |
In Labor Force | Age > 16 | Exceptional 66.3% | Exceptional 65.9% |
In Labor Force | Age 20-64 | Exceptional 80.3% | Poor 79.3% |
In Labor Force | Age 16-19 | Tragic 34.6% | Exceptional 42.5% |
In Labor Force | Age 20-24 | Poor 74.5% | Exceptional 78.1% |
In Labor Force | Age 25-29 | Good 84.7% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Good 84.8% | Tragic 84.3% |
In Labor Force | Age 35-44 | Exceptional 84.9% | Poor 84.1% |
In Labor Force | Age 45-54 | Exceptional 83.6% | Tragic 81.3% |
Peruvian vs Bangladeshi Family Structure
When considering family structure, the most significant differences between Peruvian and Bangladeshi communities in the United States are seen in single father households (2.4% compared to 3.1%, a difference of 29.0%), single mother households (6.5% compared to 8.1%, a difference of 24.6%), and married-couple households (47.6% compared to 43.5%, a difference of 9.4%). Conversely, both communities are more comparable in terms of average family size (3.30 compared to 3.37, a difference of 2.1%), divorced or separated (11.9% compared to 12.3%, a difference of 3.2%), and family households with children (29.0% compared to 30.1%, a difference of 3.8%).
Family Structure Metric | Peruvian | Bangladeshi |
Family Households | Exceptional 67.1% | Average 64.3% |
Family Households with Children | Exceptional 29.0% | Exceptional 30.1% |
Married-couple Households | Exceptional 47.6% | Tragic 43.5% |
Average Family Size | Exceptional 3.30 | Exceptional 3.37 |
Single Father Households | Fair 2.4% | Tragic 3.1% |
Single Mother Households | Fair 6.5% | Tragic 8.1% |
Currently Married | Average 46.6% | Tragic 43.7% |
Divorced or Separated | Excellent 11.9% | Poor 12.3% |
Births to Unmarried Women | Average 31.5% | Tragic 34.4% |
Peruvian vs Bangladeshi Vehicle Availability
When considering vehicle availability, the most significant differences between Peruvian and Bangladeshi communities in the United States are seen in no vehicles in household (11.2% compared to 8.7%, a difference of 29.8%), 4 or more vehicles in household (6.5% compared to 7.6%, a difference of 17.0%), and 3 or more vehicles in household (19.6% compared to 21.9%, a difference of 11.4%). 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 58.4%, a difference of 6.3%), and 3 or more vehicles in household (19.6% compared to 21.9%, a difference of 11.4%).
Vehicle Availability Metric | Peruvian | Bangladeshi |
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 58.4% |
3+ Vehicles Available | Average 19.6% | Exceptional 21.9% |
4+ Vehicles Available | Good 6.5% | Exceptional 7.6% |
Peruvian vs Bangladeshi Education Level
When considering education level, the most significant differences between Peruvian and Bangladeshi communities in the United States are seen in no schooling completed (2.4% compared to 3.5%, a difference of 48.3%), doctorate degree (1.8% compared to 1.2%, a difference of 48.2%), and master's degree (15.3% compared to 10.5%, a difference of 46.0%). Conversely, both communities are more comparable in terms of 9th grade (93.8% compared to 93.4%, a difference of 0.35%), 10th grade (92.6% compared to 92.2%, a difference of 0.44%), and 8th grade (94.7% compared to 94.3%, a difference of 0.48%).
Education Level Metric | Peruvian | Bangladeshi |
No Schooling Completed | Tragic 2.4% | Tragic 3.5% |
Nursery School | Tragic 97.6% | Tragic 96.6% |
Kindergarten | Tragic 97.6% | Tragic 96.6% |
1st Grade | Tragic 97.6% | Tragic 96.5% |
2nd Grade | Tragic 97.5% | Tragic 96.5% |
3rd Grade | Tragic 97.4% | Tragic 96.3% |
4th Grade | Tragic 97.1% | Tragic 96.1% |
5th Grade | Tragic 96.8% | Tragic 95.9% |
6th Grade | Tragic 96.4% | Tragic 95.7% |
7th Grade | Tragic 95.1% | Tragic 94.5% |
8th Grade | Tragic 94.7% | Tragic 94.3% |
9th Grade | Tragic 93.8% | Tragic 93.4% |
10th Grade | Tragic 92.6% | Tragic 92.2% |
11th Grade | Tragic 91.5% | Tragic 90.9% |
12th Grade, No Diploma | Tragic 90.2% | Tragic 89.3% |
High School Diploma | Tragic 87.8% | Tragic 86.9% |
GED/Equivalency | Tragic 84.7% | Tragic 83.1% |
College, Under 1 year | Poor 64.1% | Tragic 61.4% |
College, 1 year or more | Fair 58.6% | Tragic 54.5% |
Associate's Degree | Average 46.4% | Tragic 40.0% |
Bachelor's Degree | Good 38.3% | Tragic 30.2% |
Master's Degree | Good 15.3% | Tragic 10.5% |
Professional Degree | Good 4.5% | Tragic 3.1% |
Doctorate Degree | Fair 1.8% | Tragic 1.2% |
Peruvian vs Bangladeshi Disability
When considering disability, the most significant differences between Peruvian and Bangladeshi communities in the United States are seen in disability age 35 to 64 (9.9% compared to 13.6%, a difference of 38.3%), disability age 18 to 34 (6.0% compared to 7.4%, a difference of 23.3%), and disability age 65 to 74 (22.2% compared to 26.8%, 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 (46.8% compared to 49.4%, a difference of 5.5%), and disability age 5 to 17 (5.3% compared to 5.8%, a difference of 9.3%).
Disability Metric | Peruvian | Bangladeshi |
Disability | Exceptional 10.9% | Tragic 12.6% |
Males | Exceptional 10.4% | Tragic 12.0% |
Females | Exceptional 11.3% | Tragic 13.1% |
Age | Under 5 years | Fair 1.3% | Poor 1.3% |
Age | 5 to 17 years | Exceptional 5.3% | Tragic 5.8% |
Age | 18 to 34 years | Exceptional 6.0% | Tragic 7.4% |
Age | 35 to 64 years | Exceptional 9.9% | Tragic 13.6% |
Age | 65 to 74 years | Exceptional 22.2% | Tragic 26.8% |
Age | Over 75 years | Excellent 46.8% | Tragic 49.4% |
Vision | Exceptional 2.1% | Tragic 2.3% |
Hearing | Exceptional 2.7% | Tragic 3.2% |
Cognitive | Exceptional 16.7% | Tragic 18.6% |
Ambulatory | Exceptional 5.7% | Poor 6.3% |
Self-Care | Exceptional 2.4% | Tragic 2.8% |