Bangladeshi vs Chinese Community Comparison
COMPARE
Bangladeshi
Chinese
Social Comparison
Social Comparison
Bangladeshis
Chinese
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK
Chinese Integration in Bangladeshi Communities
The statistical analysis conducted on geographies consisting of 46,591,354 people shows a moderate positive correlation between the proportion of Chinese within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.474. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.005% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 4.6 Chinese.
Bangladeshi vs Chinese Income
When considering income, the most significant differences between Bangladeshi and Chinese communities in the United States are seen in householder income over 65 years ($54,719 compared to $77,465, a difference of 41.6%), householder income ages 45 - 64 years ($86,402 compared to $116,156, a difference of 34.4%), and median household income ($74,112 compared to $98,496, a difference of 32.9%). Conversely, both communities are more comparable in terms of median female earnings ($35,960 compared to $41,461, a difference of 15.3%), wage/income gap (22.2% compared to 25.9%, a difference of 16.9%), and median earnings ($41,263 compared to $48,836, a difference of 18.3%).
Income Metric | Bangladeshi | Chinese |
Per Capita Income | Tragic $35,897 | Exceptional $46,098 |
Median Family Income | Tragic $88,358 | Exceptional $116,188 |
Median Household Income | Tragic $74,112 | Exceptional $98,496 |
Median Earnings | Tragic $41,263 | Exceptional $48,836 |
Median Male Earnings | Tragic $46,744 | Exceptional $56,872 |
Median Female Earnings | Tragic $35,960 | Exceptional $41,461 |
Householder Age | Under 25 years | Tragic $47,589 | Exceptional $58,162 |
Householder Age | 25 - 44 years | Tragic $81,363 | Exceptional $104,264 |
Householder Age | 45 - 64 years | Tragic $86,402 | Exceptional $116,156 |
Householder Age | Over 65 years | Tragic $54,719 | Exceptional $77,465 |
Wage/Income Gap | Exceptional 22.2% | Average 25.9% |
Bangladeshi vs Chinese Poverty
When considering poverty, the most significant differences between Bangladeshi and Chinese communities in the United States are seen in child poverty among boys under 16 (20.0% compared to 11.9%, a difference of 68.8%), family poverty (10.9% compared to 6.5%, a difference of 67.4%), and child poverty under the age of 16 (19.9% compared to 11.9%, a difference of 66.9%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.4%, a difference of 1.4%), single male poverty (13.3% compared to 11.0%, a difference of 21.5%), and single mother poverty (31.7% compared to 24.6%, a difference of 28.8%).
Poverty Metric | Bangladeshi | Chinese |
Poverty | Tragic 14.8% | Exceptional 9.5% |
Families | Tragic 10.9% | Exceptional 6.5% |
Males | Tragic 13.6% | Exceptional 8.7% |
Females | Tragic 16.0% | Exceptional 10.4% |
Females 18 to 24 years | Tragic 22.5% | Exceptional 16.2% |
Females 25 to 34 years | Tragic 15.9% | Exceptional 11.0% |
Children Under 5 years | Tragic 20.6% | Exceptional 13.1% |
Children Under 16 years | Tragic 19.9% | Exceptional 11.9% |
Boys Under 16 years | Tragic 20.0% | Exceptional 11.9% |
Girls Under 16 years | Tragic 20.0% | Exceptional 12.3% |
Single Males | Tragic 13.3% | Exceptional 11.0% |
Single Females | Tragic 24.2% | Exceptional 16.1% |
Single Fathers | Exceptional 15.2% | Exceptional 15.4% |
Single Mothers | Tragic 31.7% | Exceptional 24.6% |
Married Couples | Tragic 6.0% | Exceptional 3.6% |
Seniors Over 65 years | Fair 11.2% | Exceptional 8.3% |
Seniors Over 75 years | Good 12.0% | Exceptional 9.1% |
Receiving Food Stamps | Tragic 15.0% | Exceptional 9.8% |
Bangladeshi vs Chinese Unemployment
When considering unemployment, the most significant differences between Bangladeshi and Chinese communities in the United States are seen in unemployment among seniors over 75 years (9.6% compared to 5.9%, a difference of 62.5%), unemployment among women with children ages 6 to 17 years (7.4% compared to 9.3%, a difference of 25.8%), and unemployment among seniors over 65 years (5.2% compared to 4.2%, a difference of 23.4%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.3% compared to 5.1%, a difference of 4.7%), unemployment among ages 16 to 19 years (16.9% compared to 16.0%, a difference of 5.5%), and unemployment among ages 20 to 24 years (10.0% compared to 9.4%, a difference of 6.5%).
Unemployment Metric | Bangladeshi | Chinese |
Unemployment | Poor 5.4% | Exceptional 4.7% |
Males | Tragic 5.7% | Exceptional 4.9% |
Females | Good 5.2% | Exceptional 4.5% |
Youth < 25 | Average 11.6% | Exceptional 10.7% |
Age | 16 to 19 years | Exceptional 16.9% | Exceptional 16.0% |
Age | 20 to 24 years | Exceptional 10.0% | Exceptional 9.4% |
Age | 25 to 29 years | Average 6.6% | Exceptional 6.1% |
Age | 30 to 34 years | Good 5.3% | Exceptional 5.1% |
Age | 35 to 44 years | Fair 4.8% | Exceptional 4.3% |
Age | 45 to 54 years | Average 4.5% | Exceptional 4.0% |
Age | 55 to 59 years | Exceptional 4.7% | Exceptional 4.4% |
Age | 60 to 64 years | Exceptional 4.6% | Exceptional 4.0% |
Age | 65 to 74 years | Good 5.3% | Exceptional 4.4% |
Seniors > 65 | Fair 5.2% | Exceptional 4.2% |
Seniors > 75 | Tragic 9.6% | Exceptional 5.9% |
Women w/ Children < 6 | Good 7.5% | Exceptional 6.8% |
Women w/ Children 6 to 17 | Exceptional 7.4% | Tragic 9.3% |
Women w/ Children < 18 | Good 5.3% | Exceptional 4.9% |
Bangladeshi vs Chinese Labor Participation
When considering labor participation, the most significant differences between Bangladeshi and Chinese communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 38.6%, a difference of 10.0%), in labor force | age 45-54 (81.3% compared to 84.1%, a difference of 3.5%), and in labor force | age > 16 (65.9% compared to 64.7%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.3% compared to 85.0%, a difference of 0.78%), in labor force | age 25-29 (85.1% compared to 84.3%, a difference of 0.86%), and in labor force | age 20-24 (78.1% compared to 77.3%, a difference of 1.1%).
Labor Participation Metric | Bangladeshi | Chinese |
In Labor Force | Age > 16 | Exceptional 65.9% | Tragic 64.7% |
In Labor Force | Age 20-64 | Poor 79.3% | Exceptional 80.7% |
In Labor Force | Age 16-19 | Exceptional 42.5% | Exceptional 38.6% |
In Labor Force | Age 20-24 | Exceptional 78.1% | Exceptional 77.3% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Poor 84.3% |
In Labor Force | Age 30-34 | Tragic 84.3% | Excellent 85.0% |
In Labor Force | Age 35-44 | Poor 84.1% | Exceptional 85.1% |
In Labor Force | Age 45-54 | Tragic 81.3% | Exceptional 84.1% |
Bangladeshi vs Chinese Family Structure
When considering family structure, the most significant differences between Bangladeshi and Chinese communities in the United States are seen in single mother households (8.1% compared to 5.2%, a difference of 57.7%), single father households (3.1% compared to 2.0%, a difference of 55.7%), and family households with children (30.1% compared to 26.0%, a difference of 15.7%). Conversely, both communities are more comparable in terms of average family size (3.37 compared to 3.34, a difference of 0.83%), family households (64.3% compared to 68.1%, a difference of 6.0%), and divorced or separated (12.3% compared to 11.2%, a difference of 9.8%).
Family Structure Metric | Bangladeshi | Chinese |
Family Households | Average 64.3% | Exceptional 68.1% |
Family Households with Children | Exceptional 30.1% | Tragic 26.0% |
Married-couple Households | Tragic 43.5% | Exceptional 50.4% |
Average Family Size | Exceptional 3.37 | Exceptional 3.34 |
Single Father Households | Tragic 3.1% | Exceptional 2.0% |
Single Mother Households | Tragic 8.1% | Exceptional 5.2% |
Currently Married | Tragic 43.7% | Exceptional 49.5% |
Divorced or Separated | Poor 12.3% | Exceptional 11.2% |
Births to Unmarried Women | Tragic 34.4% | Excellent 30.2% |
Bangladeshi vs Chinese Vehicle Availability
When considering vehicle availability, the most significant differences between Bangladeshi and Chinese communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 8.8%, a difference of 17.2%), 3 or more vehicles in household (21.9% compared to 23.9%, a difference of 9.2%), and no vehicles in household (8.7% compared to 8.2%, a difference of 5.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 91.9%, a difference of 0.52%), 2 or more vehicles in household (58.4% compared to 60.1%, a difference of 2.9%), and no vehicles in household (8.7% compared to 8.2%, a difference of 5.4%).
Vehicle Availability Metric | Bangladeshi | Chinese |
No Vehicles Available | Exceptional 8.7% | Exceptional 8.2% |
1+ Vehicles Available | Exceptional 91.4% | Exceptional 91.9% |
2+ Vehicles Available | Exceptional 58.4% | Exceptional 60.1% |
3+ Vehicles Available | Exceptional 21.9% | Exceptional 23.9% |
4+ Vehicles Available | Exceptional 7.6% | Exceptional 8.8% |
Bangladeshi vs Chinese Education Level
When considering education level, the most significant differences between Bangladeshi and Chinese communities in the United States are seen in no schooling completed (3.5% compared to 1.5%, a difference of 140.4%), doctorate degree (1.2% compared to 1.8%, a difference of 45.7%), and professional degree (3.1% compared to 4.5%, a difference of 44.4%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.6%, a difference of 2.1%), kindergarten (96.6% compared to 98.5%, a difference of 2.1%), and 1st grade (96.5% compared to 98.5%, a difference of 2.1%).
Education Level Metric | Bangladeshi | Chinese |
No Schooling Completed | Tragic 3.5% | Exceptional 1.5% |
Nursery School | Tragic 96.6% | Exceptional 98.6% |
Kindergarten | Tragic 96.6% | Exceptional 98.5% |
1st Grade | Tragic 96.5% | Exceptional 98.5% |
2nd Grade | Tragic 96.5% | Exceptional 98.5% |
3rd Grade | Tragic 96.3% | Exceptional 98.4% |
4th Grade | Tragic 96.1% | Exceptional 98.3% |
5th Grade | Tragic 95.9% | Exceptional 98.1% |
6th Grade | Tragic 95.7% | Exceptional 97.9% |
7th Grade | Tragic 94.5% | Exceptional 97.1% |
8th Grade | Tragic 94.3% | Exceptional 96.9% |
9th Grade | Tragic 93.4% | Exceptional 96.3% |
10th Grade | Tragic 92.2% | Exceptional 95.5% |
11th Grade | Tragic 90.9% | Exceptional 94.6% |
12th Grade, No Diploma | Tragic 89.3% | Exceptional 93.6% |
High School Diploma | Tragic 86.9% | Exceptional 92.0% |
GED/Equivalency | Tragic 83.1% | Exceptional 89.0% |
College, Under 1 year | Tragic 61.4% | Exceptional 68.3% |
College, 1 year or more | Tragic 54.5% | Exceptional 62.2% |
Associate's Degree | Tragic 40.0% | Exceptional 48.5% |
Bachelor's Degree | Tragic 30.2% | Good 38.5% |
Master's Degree | Tragic 10.5% | Fair 14.6% |
Professional Degree | Tragic 3.1% | Average 4.5% |
Doctorate Degree | Tragic 1.2% | Fair 1.8% |
Bangladeshi vs Chinese Disability
When considering disability, the most significant differences between Bangladeshi and Chinese communities in the United States are seen in disability age 35 to 64 (13.6% compared to 10.3%, a difference of 32.4%), disability age 5 to 17 (5.8% compared to 4.7%, a difference of 23.7%), and disability age 65 to 74 (26.8% compared to 21.7%, a difference of 23.7%). Conversely, both communities are more comparable in terms of male disability (12.0% compared to 12.1%, a difference of 0.28%), disability age over 75 (49.4% compared to 48.7%, a difference of 1.4%), and disability (12.6% compared to 12.2%, a difference of 2.9%).
Disability Metric | Bangladeshi | Chinese |
Disability | Tragic 12.6% | Tragic 12.2% |
Males | Tragic 12.0% | Tragic 12.1% |
Females | Tragic 13.1% | Fair 12.3% |
Age | Under 5 years | Poor 1.3% | Exceptional 1.1% |
Age | 5 to 17 years | Tragic 5.8% | Exceptional 4.7% |
Age | 18 to 34 years | Tragic 7.4% | Exceptional 6.3% |
Age | 35 to 64 years | Tragic 13.6% | Exceptional 10.3% |
Age | 65 to 74 years | Tragic 26.8% | Exceptional 21.7% |
Age | Over 75 years | Tragic 49.4% | Tragic 48.7% |
Vision | Tragic 2.3% | Exceptional 2.0% |
Hearing | Tragic 3.2% | Tragic 3.7% |
Cognitive | Tragic 18.6% | Exceptional 15.9% |
Ambulatory | Poor 6.3% | Tragic 6.5% |
Self-Care | Tragic 2.8% | Tragic 2.6% |