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.
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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%).
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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%).
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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%).
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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%).
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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%).
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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%).
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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%).
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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%).
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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% |