Afghan vs Burmese Community Comparison
COMPARE
Afghan
Burmese
Social Comparison
Social Comparison
Afghans
Burmese
7,658
SOCIAL INDEX
74.1/ 100
SOCIAL RATING
108th/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
Burmese Integration in Afghan Communities
The statistical analysis conducted on geographies consisting of 146,697,771 people shows a mild negative correlation between the proportion of Burmese within Afghan communities in the United States with a correlation coefficient (R) of -0.371. On average, for every 1% (one percent) increase in Afghans within a typical geography, there is a decrease of 0.222% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Afghans corresponds to a decrease of 222.2 Burmese.
Afghan vs Burmese Income
When considering income, the most significant differences between Afghan and Burmese communities in the United States are seen in per capita income ($46,268 compared to $52,005, a difference of 12.4%), wage/income gap (24.9% compared to 28.0%, a difference of 12.4%), and median male earnings ($59,554 compared to $65,236, a difference of 9.5%). Conversely, both communities are more comparable in terms of householder income over 65 years ($68,951 compared to $71,139, a difference of 3.2%), median female earnings ($43,077 compared to $44,911, a difference of 4.3%), and householder income under 25 years ($58,019 compared to $54,800, a difference of 5.9%).
Income Metric | Afghan | Burmese |
Per Capita Income | Exceptional $46,268 | Exceptional $52,005 |
Median Family Income | Exceptional $112,971 | Exceptional $123,369 |
Median Household Income | Exceptional $97,026 | Exceptional $103,145 |
Median Earnings | Exceptional $51,112 | Exceptional $54,559 |
Median Male Earnings | Exceptional $59,554 | Exceptional $65,236 |
Median Female Earnings | Exceptional $43,077 | Exceptional $44,911 |
Householder Age | Under 25 years | Exceptional $58,019 | Exceptional $54,800 |
Householder Age | 25 - 44 years | Exceptional $104,410 | Exceptional $113,701 |
Householder Age | 45 - 64 years | Exceptional $112,676 | Exceptional $121,444 |
Householder Age | Over 65 years | Exceptional $68,951 | Exceptional $71,139 |
Wage/Income Gap | Excellent 24.9% | Tragic 28.0% |
Afghan vs Burmese Poverty
When considering poverty, the most significant differences between Afghan and Burmese communities in the United States are seen in married-couple family poverty (5.5% compared to 4.3%, a difference of 28.1%), child poverty under the age of 5 (16.8% compared to 13.2%, a difference of 26.7%), and child poverty under the age of 16 (16.2% compared to 12.8%, a difference of 26.2%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.0% compared to 18.9%, a difference of 0.32%), seniors poverty over the age of 65 (9.8% compared to 10.1%, a difference of 3.1%), and seniors poverty over the age of 75 (11.2% compared to 11.7%, a difference of 4.3%).
Poverty Metric | Afghan | Burmese |
Poverty | Good 12.0% | Exceptional 10.7% |
Families | Good 8.8% | Exceptional 7.3% |
Males | Good 10.9% | Exceptional 9.7% |
Females | Good 13.0% | Exceptional 11.6% |
Females 18 to 24 years | Exceptional 19.0% | Exceptional 18.9% |
Females 25 to 34 years | Excellent 13.0% | Exceptional 11.2% |
Children Under 5 years | Good 16.8% | Exceptional 13.2% |
Children Under 16 years | Average 16.2% | Exceptional 12.8% |
Boys Under 16 years | Average 16.3% | Exceptional 13.0% |
Girls Under 16 years | Good 16.2% | Exceptional 13.0% |
Single Males | Exceptional 10.7% | Exceptional 11.7% |
Single Females | Exceptional 19.5% | Exceptional 18.3% |
Single Fathers | Exceptional 14.0% | Exceptional 15.5% |
Single Mothers | Exceptional 27.7% | Exceptional 26.2% |
Married Couples | Poor 5.5% | Exceptional 4.3% |
Seniors Over 65 years | Exceptional 9.8% | Exceptional 10.1% |
Seniors Over 75 years | Exceptional 11.2% | Excellent 11.7% |
Receiving Food Stamps | Exceptional 10.7% | Exceptional 8.6% |
Afghan vs Burmese Unemployment
When considering unemployment, the most significant differences between Afghan and Burmese communities in the United States are seen in unemployment among seniors over 75 years (9.0% compared to 8.2%, a difference of 10.4%), unemployment among ages 60 to 64 years (4.4% compared to 4.8%, a difference of 9.0%), and unemployment among women with children under 18 years (5.4% compared to 4.9%, a difference of 8.7%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.3% compared to 11.3%, a difference of 0.010%), unemployment among seniors over 65 years (5.0% compared to 5.0%, a difference of 0.24%), and unemployment among ages 65 to 74 years (5.2% compared to 5.2%, a difference of 1.1%).
Unemployment Metric | Afghan | Burmese |
Unemployment | Average 5.3% | Exceptional 4.9% |
Males | Good 5.3% | Exceptional 4.9% |
Females | Fair 5.3% | Exceptional 5.0% |
Youth < 25 | Excellent 11.3% | Excellent 11.3% |
Age | 16 to 19 years | Good 17.4% | Exceptional 17.0% |
Age | 20 to 24 years | Exceptional 9.6% | Excellent 10.2% |
Age | 25 to 29 years | Exceptional 6.4% | Exceptional 6.2% |
Age | 30 to 34 years | Average 5.5% | Exceptional 5.1% |
Age | 35 to 44 years | Average 4.7% | Exceptional 4.3% |
Age | 45 to 54 years | Excellent 4.4% | Exceptional 4.2% |
Age | 55 to 59 years | Exceptional 4.7% | Exceptional 4.5% |
Age | 60 to 64 years | Exceptional 4.4% | Excellent 4.8% |
Age | 65 to 74 years | Exceptional 5.2% | Exceptional 5.2% |
Seniors > 65 | Exceptional 5.0% | Exceptional 5.0% |
Seniors > 75 | Tragic 9.0% | Exceptional 8.2% |
Women w/ Children < 6 | Exceptional 7.0% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Exceptional 7.6% | Exceptional 8.0% |
Women w/ Children < 18 | Good 5.4% | Exceptional 4.9% |
Afghan vs Burmese Labor Participation
When considering labor participation, the most significant differences between Afghan and Burmese communities in the United States are seen in in labor force | age 16-19 (36.1% compared to 34.5%, a difference of 4.6%), in labor force | age 20-24 (75.2% compared to 73.6%, a difference of 2.2%), and in labor force | age > 16 (67.1% compared to 66.2%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.3% compared to 80.3%, a difference of 0.020%), in labor force | age 35-44 (84.6% compared to 84.7%, a difference of 0.090%), and in labor force | age 45-54 (83.5% compared to 83.6%, a difference of 0.19%).
Labor Participation Metric | Afghan | Burmese |
In Labor Force | Age > 16 | Exceptional 67.1% | Exceptional 66.2% |
In Labor Force | Age 20-64 | Exceptional 80.3% | Exceptional 80.3% |
In Labor Force | Age 16-19 | Fair 36.1% | Tragic 34.5% |
In Labor Force | Age 20-24 | Good 75.2% | Tragic 73.6% |
In Labor Force | Age 25-29 | Poor 84.4% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Average 84.7% | Exceptional 85.3% |
In Labor Force | Age 35-44 | Excellent 84.6% | Exceptional 84.7% |
In Labor Force | Age 45-54 | Exceptional 83.5% | Exceptional 83.6% |
Afghan vs Burmese Family Structure
When considering family structure, the most significant differences between Afghan and Burmese communities in the United States are seen in single mother households (6.3% compared to 5.3%, a difference of 19.0%), single father households (2.3% compared to 2.0%, a difference of 15.0%), and divorced or separated (11.5% compared to 10.7%, a difference of 7.5%). Conversely, both communities are more comparable in terms of family households (66.3% compared to 65.7%, a difference of 0.78%), average family size (3.31 compared to 3.22, a difference of 3.0%), and currently married (47.3% compared to 48.9%, a difference of 3.5%).
Family Structure Metric | Afghan | Burmese |
Family Households | Exceptional 66.3% | Exceptional 65.7% |
Family Households with Children | Exceptional 30.2% | Exceptional 28.5% |
Married-couple Households | Exceptional 48.0% | Exceptional 49.8% |
Average Family Size | Exceptional 3.31 | Fair 3.22 |
Single Father Households | Average 2.3% | Exceptional 2.0% |
Single Mother Households | Average 6.3% | Exceptional 5.3% |
Currently Married | Excellent 47.3% | Exceptional 48.9% |
Divorced or Separated | Exceptional 11.5% | Exceptional 10.7% |
Births to Unmarried Women | Exceptional 27.9% | Exceptional 26.4% |
Afghan vs Burmese Vehicle Availability
When considering vehicle availability, the most significant differences between Afghan and Burmese communities in the United States are seen in no vehicles in household (8.0% compared to 9.7%, a difference of 21.4%), 4 or more vehicles in household (7.3% compared to 6.8%, a difference of 6.3%), and 3 or more vehicles in household (21.7% compared to 20.6%, a difference of 5.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.1% compared to 90.4%, a difference of 1.9%), 2 or more vehicles in household (59.0% compared to 57.8%, a difference of 2.1%), and 3 or more vehicles in household (21.7% compared to 20.6%, a difference of 5.0%).
Vehicle Availability Metric | Afghan | Burmese |
No Vehicles Available | Exceptional 8.0% | Excellent 9.7% |
1+ Vehicles Available | Exceptional 92.1% | Excellent 90.4% |
2+ Vehicles Available | Exceptional 59.0% | Exceptional 57.8% |
3+ Vehicles Available | Exceptional 21.7% | Exceptional 20.6% |
4+ Vehicles Available | Exceptional 7.3% | Exceptional 6.8% |
Afghan vs Burmese Education Level
When considering education level, the most significant differences between Afghan and Burmese communities in the United States are seen in doctorate degree (2.0% compared to 2.6%, a difference of 33.9%), no schooling completed (2.6% compared to 1.9%, a difference of 33.4%), and professional degree (4.7% compared to 6.1%, a difference of 29.6%). Conversely, both communities are more comparable in terms of nursery school (97.4% compared to 98.1%, a difference of 0.69%), kindergarten (97.4% compared to 98.1%, a difference of 0.70%), and 1st grade (97.4% compared to 98.0%, a difference of 0.70%).
Education Level Metric | Afghan | Burmese |
No Schooling Completed | Tragic 2.6% | Excellent 1.9% |
Nursery School | Tragic 97.4% | Excellent 98.1% |
Kindergarten | Tragic 97.4% | Excellent 98.1% |
1st Grade | Tragic 97.4% | Excellent 98.0% |
2nd Grade | Tragic 97.3% | Excellent 98.0% |
3rd Grade | Tragic 97.1% | Good 97.9% |
4th Grade | Tragic 96.9% | Excellent 97.7% |
5th Grade | Tragic 96.7% | Excellent 97.5% |
6th Grade | Tragic 96.4% | Excellent 97.3% |
7th Grade | Tragic 95.3% | Excellent 96.3% |
8th Grade | Tragic 94.9% | Exceptional 96.1% |
9th Grade | Tragic 94.2% | Exceptional 95.4% |
10th Grade | Tragic 93.1% | Exceptional 94.5% |
11th Grade | Poor 92.1% | Exceptional 93.6% |
12th Grade, No Diploma | Fair 90.9% | Exceptional 92.6% |
High School Diploma | Fair 88.8% | Exceptional 90.8% |
GED/Equivalency | Average 85.9% | Exceptional 88.3% |
College, Under 1 year | Exceptional 67.8% | Exceptional 71.9% |
College, 1 year or more | Exceptional 62.0% | Exceptional 66.7% |
Associate's Degree | Exceptional 48.9% | Exceptional 54.6% |
Bachelor's Degree | Exceptional 40.8% | Exceptional 46.9% |
Master's Degree | Exceptional 16.5% | Exceptional 19.7% |
Professional Degree | Excellent 4.7% | Exceptional 6.1% |
Doctorate Degree | Excellent 2.0% | Exceptional 2.6% |
Afghan vs Burmese Disability
When considering disability, the most significant differences between Afghan and Burmese communities in the United States are seen in disability age under 5 (0.94% compared to 1.1%, a difference of 18.9%), disability age 35 to 64 (10.3% compared to 9.2%, a difference of 11.3%), and disability age 65 to 74 (22.6% compared to 20.6%, a difference of 9.8%). Conversely, both communities are more comparable in terms of disability age 18 to 34 (6.1% compared to 6.0%, a difference of 1.9%), hearing disability (2.7% compared to 2.8%, a difference of 2.4%), and male disability (10.2% compared to 10.0%, a difference of 2.7%).
Disability Metric | Afghan | Burmese |
Disability | Exceptional 10.8% | Exceptional 10.4% |
Males | Exceptional 10.2% | Exceptional 10.0% |
Females | Exceptional 11.2% | Exceptional 10.7% |
Age | Under 5 years | Exceptional 0.94% | Exceptional 1.1% |
Age | 5 to 17 years | Exceptional 5.2% | Exceptional 4.8% |
Age | 18 to 34 years | Exceptional 6.1% | Exceptional 6.0% |
Age | 35 to 64 years | Exceptional 10.3% | Exceptional 9.2% |
Age | 65 to 74 years | Excellent 22.6% | Exceptional 20.6% |
Age | Over 75 years | Tragic 48.4% | Exceptional 45.9% |
Vision | Exceptional 2.0% | Exceptional 1.8% |
Hearing | Exceptional 2.7% | Exceptional 2.8% |
Cognitive | Fair 17.3% | Exceptional 16.7% |
Ambulatory | Exceptional 5.5% | Exceptional 5.3% |
Self-Care | Excellent 2.4% | Exceptional 2.3% |