Bangladeshi vs Burmese Community Comparison
COMPARE
Bangladeshi
Burmese
Social Comparison
Social Comparison
Bangladeshis
Burmese
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
Burmese Integration in Bangladeshi Communities
The statistical analysis conducted on geographies consisting of 136,676,190 people shows a strong positive correlation between the proportion of Burmese within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.734. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.322% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 322.1 Burmese.
Bangladeshi vs Burmese Income
When considering income, the most significant differences between Bangladeshi and Burmese communities in the United States are seen in per capita income ($35,897 compared to $52,005, a difference of 44.9%), householder income ages 45 - 64 years ($86,402 compared to $121,444, a difference of 40.6%), and householder income ages 25 - 44 years ($81,363 compared to $113,701, a difference of 39.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,589 compared to $54,800, a difference of 15.1%), median female earnings ($35,960 compared to $44,911, a difference of 24.9%), and wage/income gap (22.2% compared to 28.0%, a difference of 26.4%).
Income Metric | Bangladeshi | Burmese |
Per Capita Income | Tragic $35,897 | Exceptional $52,005 |
Median Family Income | Tragic $88,358 | Exceptional $123,369 |
Median Household Income | Tragic $74,112 | Exceptional $103,145 |
Median Earnings | Tragic $41,263 | Exceptional $54,559 |
Median Male Earnings | Tragic $46,744 | Exceptional $65,236 |
Median Female Earnings | Tragic $35,960 | Exceptional $44,911 |
Householder Age | Under 25 years | Tragic $47,589 | Exceptional $54,800 |
Householder Age | 25 - 44 years | Tragic $81,363 | Exceptional $113,701 |
Householder Age | 45 - 64 years | Tragic $86,402 | Exceptional $121,444 |
Householder Age | Over 65 years | Tragic $54,719 | Exceptional $71,139 |
Wage/Income Gap | Exceptional 22.2% | Tragic 28.0% |
Bangladeshi vs Burmese Poverty
When considering poverty, the most significant differences between Bangladeshi and Burmese communities in the United States are seen in receiving food stamps (15.0% compared to 8.6%, a difference of 73.9%), child poverty under the age of 5 (20.6% compared to 13.2%, a difference of 55.9%), and child poverty under the age of 16 (19.9% compared to 12.8%, a difference of 55.4%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.5%, a difference of 1.8%), seniors poverty over the age of 75 (12.0% compared to 11.7%, a difference of 2.5%), and seniors poverty over the age of 65 (11.2% compared to 10.1%, a difference of 11.2%).
Poverty Metric | Bangladeshi | Burmese |
Poverty | Tragic 14.8% | Exceptional 10.7% |
Families | Tragic 10.9% | Exceptional 7.3% |
Males | Tragic 13.6% | Exceptional 9.7% |
Females | Tragic 16.0% | Exceptional 11.6% |
Females 18 to 24 years | Tragic 22.5% | Exceptional 18.9% |
Females 25 to 34 years | Tragic 15.9% | Exceptional 11.2% |
Children Under 5 years | Tragic 20.6% | Exceptional 13.2% |
Children Under 16 years | Tragic 19.9% | Exceptional 12.8% |
Boys Under 16 years | Tragic 20.0% | Exceptional 13.0% |
Girls Under 16 years | Tragic 20.0% | Exceptional 13.0% |
Single Males | Tragic 13.3% | Exceptional 11.7% |
Single Females | Tragic 24.2% | Exceptional 18.3% |
Single Fathers | Exceptional 15.2% | Exceptional 15.5% |
Single Mothers | Tragic 31.7% | Exceptional 26.2% |
Married Couples | Tragic 6.0% | Exceptional 4.3% |
Seniors Over 65 years | Fair 11.2% | Exceptional 10.1% |
Seniors Over 75 years | Good 12.0% | Excellent 11.7% |
Receiving Food Stamps | Tragic 15.0% | Exceptional 8.6% |
Bangladeshi vs Burmese Unemployment
When considering unemployment, the most significant differences between Bangladeshi and Burmese communities in the United States are seen in unemployment among seniors over 75 years (9.6% compared to 8.2%, a difference of 17.5%), unemployment among women with children under 6 years (7.5% compared to 6.5%, a difference of 15.8%), and male unemployment (5.7% compared to 4.9%, a difference of 15.5%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.9% compared to 17.0%, a difference of 0.23%), unemployment among ages 20 to 24 years (10.0% compared to 10.2%, a difference of 1.8%), and unemployment among youth under 25 years (11.6% compared to 11.3%, a difference of 2.1%).
Unemployment Metric | Bangladeshi | Burmese |
Unemployment | Poor 5.4% | Exceptional 4.9% |
Males | Tragic 5.7% | Exceptional 4.9% |
Females | Good 5.2% | Exceptional 5.0% |
Youth < 25 | Average 11.6% | Excellent 11.3% |
Age | 16 to 19 years | Exceptional 16.9% | Exceptional 17.0% |
Age | 20 to 24 years | Exceptional 10.0% | Excellent 10.2% |
Age | 25 to 29 years | Average 6.6% | Exceptional 6.2% |
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 4.2% |
Age | 55 to 59 years | Exceptional 4.7% | Exceptional 4.5% |
Age | 60 to 64 years | Exceptional 4.6% | Excellent 4.8% |
Age | 65 to 74 years | Good 5.3% | Exceptional 5.2% |
Seniors > 65 | Fair 5.2% | Exceptional 5.0% |
Seniors > 75 | Tragic 9.6% | Exceptional 8.2% |
Women w/ Children < 6 | Good 7.5% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Exceptional 7.4% | Exceptional 8.0% |
Women w/ Children < 18 | Good 5.3% | Exceptional 4.9% |
Bangladeshi vs Burmese Labor Participation
When considering labor participation, the most significant differences between Bangladeshi and Burmese communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 34.5%, a difference of 23.1%), in labor force | age 20-24 (78.1% compared to 73.6%, a difference of 6.2%), 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 85.1%, a difference of 0.070%), in labor force | age > 16 (65.9% compared to 66.2%, a difference of 0.38%), and in labor force | age 35-44 (84.1% compared to 84.7%, a difference of 0.69%).
Labor Participation Metric | Bangladeshi | Burmese |
In Labor Force | Age > 16 | Exceptional 65.9% | Exceptional 66.2% |
In Labor Force | Age 20-64 | Poor 79.3% | Exceptional 80.3% |
In Labor Force | Age 16-19 | Exceptional 42.5% | Tragic 34.5% |
In Labor Force | Age 20-24 | Exceptional 78.1% | Tragic 73.6% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Tragic 84.3% | Exceptional 85.3% |
In Labor Force | Age 35-44 | Poor 84.1% | Exceptional 84.7% |
In Labor Force | Age 45-54 | Tragic 81.3% | Exceptional 83.6% |
Bangladeshi vs Burmese Family Structure
When considering family structure, the most significant differences between Bangladeshi and Burmese communities in the United States are seen in single mother households (8.1% compared to 5.3%, a difference of 53.9%), single father households (3.1% compared to 2.0%, a difference of 51.1%), and births to unmarried women (34.4% compared to 26.4%, a difference of 30.5%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 65.7%, a difference of 2.3%), average family size (3.37 compared to 3.22, a difference of 4.7%), and family households with children (30.1% compared to 28.5%, a difference of 5.6%).
Family Structure Metric | Bangladeshi | Burmese |
Family Households | Average 64.3% | Exceptional 65.7% |
Family Households with Children | Exceptional 30.1% | Exceptional 28.5% |
Married-couple Households | Tragic 43.5% | Exceptional 49.8% |
Average Family Size | Exceptional 3.37 | Fair 3.22 |
Single Father Households | Tragic 3.1% | Exceptional 2.0% |
Single Mother Households | Tragic 8.1% | Exceptional 5.3% |
Currently Married | Tragic 43.7% | Exceptional 48.9% |
Divorced or Separated | Poor 12.3% | Exceptional 10.7% |
Births to Unmarried Women | Tragic 34.4% | Exceptional 26.4% |
Bangladeshi vs Burmese Vehicle Availability
When considering vehicle availability, the most significant differences between Bangladeshi and Burmese communities in the United States are seen in no vehicles in household (8.7% compared to 9.7%, a difference of 11.7%), 4 or more vehicles in household (7.6% compared to 6.8%, a difference of 10.7%), and 3 or more vehicles in household (21.9% compared to 20.6%, a difference of 5.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 90.4%, a difference of 1.1%), 2 or more vehicles in household (58.4% compared to 57.8%, a difference of 1.1%), and 3 or more vehicles in household (21.9% compared to 20.6%, a difference of 5.9%).
Vehicle Availability Metric | Bangladeshi | Burmese |
No Vehicles Available | Exceptional 8.7% | Excellent 9.7% |
1+ Vehicles Available | Exceptional 91.4% | Excellent 90.4% |
2+ Vehicles Available | Exceptional 58.4% | Exceptional 57.8% |
3+ Vehicles Available | Exceptional 21.9% | Exceptional 20.6% |
4+ Vehicles Available | Exceptional 7.6% | Exceptional 6.8% |
Bangladeshi vs Burmese Education Level
When considering education level, the most significant differences between Bangladeshi and Burmese communities in the United States are seen in doctorate degree (1.2% compared to 2.6%, a difference of 117.6%), professional degree (3.1% compared to 6.1%, a difference of 98.9%), and master's degree (10.5% compared to 19.7%, a difference of 88.0%). Conversely, both communities are more comparable in terms of kindergarten (96.6% compared to 98.1%, a difference of 1.5%), 1st grade (96.5% compared to 98.0%, a difference of 1.5%), and nursery school (96.6% compared to 98.1%, a difference of 1.6%).
Education Level Metric | Bangladeshi | Burmese |
No Schooling Completed | Tragic 3.5% | Excellent 1.9% |
Nursery School | Tragic 96.6% | Excellent 98.1% |
Kindergarten | Tragic 96.6% | Excellent 98.1% |
1st Grade | Tragic 96.5% | Excellent 98.0% |
2nd Grade | Tragic 96.5% | Excellent 98.0% |
3rd Grade | Tragic 96.3% | Good 97.9% |
4th Grade | Tragic 96.1% | Excellent 97.7% |
5th Grade | Tragic 95.9% | Excellent 97.5% |
6th Grade | Tragic 95.7% | Excellent 97.3% |
7th Grade | Tragic 94.5% | Excellent 96.3% |
8th Grade | Tragic 94.3% | Exceptional 96.1% |
9th Grade | Tragic 93.4% | Exceptional 95.4% |
10th Grade | Tragic 92.2% | Exceptional 94.5% |
11th Grade | Tragic 90.9% | Exceptional 93.6% |
12th Grade, No Diploma | Tragic 89.3% | Exceptional 92.6% |
High School Diploma | Tragic 86.9% | Exceptional 90.8% |
GED/Equivalency | Tragic 83.1% | Exceptional 88.3% |
College, Under 1 year | Tragic 61.4% | Exceptional 71.9% |
College, 1 year or more | Tragic 54.5% | Exceptional 66.7% |
Associate's Degree | Tragic 40.0% | Exceptional 54.6% |
Bachelor's Degree | Tragic 30.2% | Exceptional 46.9% |
Master's Degree | Tragic 10.5% | Exceptional 19.7% |
Professional Degree | Tragic 3.1% | Exceptional 6.1% |
Doctorate Degree | Tragic 1.2% | Exceptional 2.6% |
Bangladeshi vs Burmese Disability
When considering disability, the most significant differences between Bangladeshi and Burmese communities in the United States are seen in disability age 35 to 64 (13.6% compared to 9.2%, a difference of 47.9%), disability age 65 to 74 (26.8% compared to 20.6%, a difference of 30.1%), and vision disability (2.3% compared to 1.8%, a difference of 27.0%). Conversely, both communities are more comparable in terms of disability age over 75 (49.4% compared to 45.9%, a difference of 7.6%), cognitive disability (18.6% compared to 16.7%, a difference of 11.7%), and hearing disability (3.2% compared to 2.8%, a difference of 13.1%).
Disability Metric | Bangladeshi | Burmese |
Disability | Tragic 12.6% | Exceptional 10.4% |
Males | Tragic 12.0% | Exceptional 10.0% |
Females | Tragic 13.1% | Exceptional 10.7% |
Age | Under 5 years | Poor 1.3% | Exceptional 1.1% |
Age | 5 to 17 years | Tragic 5.8% | Exceptional 4.8% |
Age | 18 to 34 years | Tragic 7.4% | Exceptional 6.0% |
Age | 35 to 64 years | Tragic 13.6% | Exceptional 9.2% |
Age | 65 to 74 years | Tragic 26.8% | Exceptional 20.6% |
Age | Over 75 years | Tragic 49.4% | Exceptional 45.9% |
Vision | Tragic 2.3% | Exceptional 1.8% |
Hearing | Tragic 3.2% | Exceptional 2.8% |
Cognitive | Tragic 18.6% | Exceptional 16.7% |
Ambulatory | Poor 6.3% | Exceptional 5.3% |
Self-Care | Tragic 2.8% | Exceptional 2.3% |