Burmese vs Asian Community Comparison
COMPARE
Burmese
Asian
Social Comparison
Social Comparison
Burmese
Asians
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK
Asian Integration in Burmese Communities
The statistical analysis conducted on geographies consisting of 463,315,587 people shows a moderate positive correlation between the proportion of Asians within Burmese communities in the United States with a correlation coefficient (R) of 0.406. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.444% in Asians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 443.9 Asians.

Burmese vs Asian Income
When considering income, the most significant differences between Burmese and Asian communities in the United States are seen in householder income under 25 years ($54,800 compared to $57,003, a difference of 4.0%), wage/income gap (28.0% compared to 26.9%, a difference of 4.0%), and per capita income ($52,005 compared to $50,057, a difference of 3.9%). Conversely, both communities are more comparable in terms of median female earnings ($44,911 compared to $44,586, a difference of 0.73%), householder income ages 25 - 44 years ($113,701 compared to $112,666, a difference of 0.92%), and median household income ($103,145 compared to $101,681, a difference of 1.4%).

Income Metric | Burmese | Asian |
Per Capita Income | Exceptional $52,005 | Exceptional $50,057 |
Median Family Income | Exceptional $123,369 | Exceptional $119,955 |
Median Household Income | Exceptional $103,145 | Exceptional $101,681 |
Median Earnings | Exceptional $54,559 | Exceptional $53,690 |
Median Male Earnings | Exceptional $65,236 | Exceptional $63,827 |
Median Female Earnings | Exceptional $44,911 | Exceptional $44,586 |
Householder Age | Under 25 years | Exceptional $54,800 | Exceptional $57,003 |
Householder Age | 25 - 44 years | Exceptional $113,701 | Exceptional $112,666 |
Householder Age | 45 - 64 years | Exceptional $121,444 | Exceptional $118,426 |
Householder Age | Over 65 years | Exceptional $71,139 | Exceptional $68,822 |
Wage/Income Gap | Tragic 28.0% | Tragic 26.9% |
Burmese vs Asian Poverty
When considering poverty, the most significant differences between Burmese and Asian communities in the United States are seen in receiving food stamps (8.6% compared to 9.7%, a difference of 11.9%), married-couple family poverty (4.3% compared to 4.7%, a difference of 7.9%), and single father poverty (15.5% compared to 14.6%, a difference of 6.2%). Conversely, both communities are more comparable in terms of single female poverty (18.3% compared to 18.3%, a difference of 0.0%), single mother poverty (26.2% compared to 26.0%, a difference of 1.1%), and female poverty among 25-34 year olds (11.2% compared to 11.4%, a difference of 2.1%).

Poverty Metric | Burmese | Asian |
Poverty | Exceptional 10.7% | Exceptional 11.0% |
Families | Exceptional 7.3% | Exceptional 7.7% |
Males | Exceptional 9.7% | Exceptional 10.0% |
Females | Exceptional 11.6% | Exceptional 11.9% |
Females 18 to 24 years | Exceptional 18.9% | Exceptional 18.2% |
Females 25 to 34 years | Exceptional 11.2% | Exceptional 11.4% |
Children Under 5 years | Exceptional 13.2% | Exceptional 14.0% |
Children Under 16 years | Exceptional 12.8% | Exceptional 13.5% |
Boys Under 16 years | Exceptional 13.0% | Exceptional 13.5% |
Girls Under 16 years | Exceptional 13.0% | Exceptional 13.7% |
Single Males | Exceptional 11.7% | Exceptional 11.2% |
Single Females | Exceptional 18.3% | Exceptional 18.3% |
Single Fathers | Exceptional 15.5% | Exceptional 14.6% |
Single Mothers | Exceptional 26.2% | Exceptional 26.0% |
Married Couples | Exceptional 4.3% | Exceptional 4.7% |
Seniors Over 65 years | Exceptional 10.1% | Excellent 10.4% |
Seniors Over 75 years | Excellent 11.7% | Good 12.0% |
Receiving Food Stamps | Exceptional 8.6% | Exceptional 9.7% |
Burmese vs Asian Unemployment
When considering unemployment, the most significant differences between Burmese and Asian communities in the United States are seen in unemployment among ages 55 to 59 years (4.5% compared to 4.7%, a difference of 3.7%), male unemployment (4.9% compared to 5.1%, a difference of 3.6%), and unemployment (4.9% compared to 5.1%, a difference of 3.2%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.0% compared to 8.0%, a difference of 0.030%), unemployment among ages 20 to 24 years (10.2% compared to 10.2%, a difference of 0.27%), and unemployment among ages 30 to 34 years (5.1% compared to 5.1%, a difference of 0.44%).

Unemployment Metric | Burmese | Asian |
Unemployment | Exceptional 4.9% | Excellent 5.1% |
Males | Exceptional 4.9% | Exceptional 5.1% |
Females | Exceptional 5.0% | Good 5.2% |
Youth < 25 | Excellent 11.3% | Good 11.4% |
Age | 16 to 19 years | Exceptional 17.0% | Exceptional 16.9% |
Age | 20 to 24 years | Excellent 10.2% | Good 10.2% |
Age | 25 to 29 years | Exceptional 6.2% | Exceptional 6.3% |
Age | 30 to 34 years | Exceptional 5.1% | Exceptional 5.1% |
Age | 35 to 44 years | Exceptional 4.3% | Exceptional 4.4% |
Age | 45 to 54 years | Exceptional 4.2% | Exceptional 4.3% |
Age | 55 to 59 years | Exceptional 4.5% | Exceptional 4.7% |
Age | 60 to 64 years | Excellent 4.8% | Average 4.9% |
Age | 65 to 74 years | Exceptional 5.2% | Exceptional 5.3% |
Seniors > 65 | Exceptional 5.0% | Excellent 5.1% |
Seniors > 75 | Exceptional 8.2% | Exceptional 8.3% |
Women w/ Children < 6 | Exceptional 6.5% | Exceptional 6.7% |
Women w/ Children 6 to 17 | Exceptional 8.0% | Exceptional 8.0% |
Women w/ Children < 18 | Exceptional 4.9% | Exceptional 5.1% |
Burmese vs Asian Labor Participation
When considering labor participation, the most significant differences between Burmese and Asian communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 34.1%, a difference of 1.3%), in labor force | age 25-29 (85.1% compared to 84.8%, a difference of 0.35%), and in labor force | age 30-34 (85.3% compared to 85.1%, a difference of 0.21%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (66.2% compared to 66.2%, a difference of 0.020%), in labor force | age 35-44 (84.7% compared to 84.7%, a difference of 0.020%), and in labor force | age 20-24 (73.6% compared to 73.7%, a difference of 0.10%).

Labor Participation Metric | Burmese | Asian |
In Labor Force | Age > 16 | Exceptional 66.2% | Exceptional 66.2% |
In Labor Force | Age 20-64 | Exceptional 80.3% | Exceptional 80.2% |
In Labor Force | Age 16-19 | Tragic 34.5% | Tragic 34.1% |
In Labor Force | Age 20-24 | Tragic 73.6% | Tragic 73.7% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Good 84.8% |
In Labor Force | Age 30-34 | Exceptional 85.3% | Exceptional 85.1% |
In Labor Force | Age 35-44 | Exceptional 84.7% | Exceptional 84.7% |
In Labor Force | Age 45-54 | Exceptional 83.6% | Exceptional 83.4% |
Burmese vs Asian Family Structure
When considering family structure, the most significant differences between Burmese and Asian communities in the United States are seen in single mother households (5.3% compared to 5.6%, a difference of 5.7%), single father households (2.0% compared to 2.1%, a difference of 3.3%), and average family size (3.22 compared to 3.28, a difference of 2.0%). Conversely, both communities are more comparable in terms of married-couple households (49.8% compared to 49.5%, a difference of 0.67%), divorced or separated (10.7% compared to 10.6%, a difference of 0.74%), and currently married (48.9% compared to 48.4%, a difference of 1.1%).

Family Structure Metric | Burmese | Asian |
Family Households | Exceptional 65.7% | Exceptional 66.5% |
Family Households with Children | Exceptional 28.5% | Exceptional 29.1% |
Married-couple Households | Exceptional 49.8% | Exceptional 49.5% |
Average Family Size | Fair 3.22 | Exceptional 3.28 |
Single Father Households | Exceptional 2.0% | Exceptional 2.1% |
Single Mother Households | Exceptional 5.3% | Exceptional 5.6% |
Currently Married | Exceptional 48.9% | Exceptional 48.4% |
Divorced or Separated | Exceptional 10.7% | Exceptional 10.6% |
Births to Unmarried Women | Exceptional 26.4% | Exceptional 26.8% |
Burmese vs Asian Vehicle Availability
When considering vehicle availability, the most significant differences between Burmese and Asian communities in the United States are seen in no vehicles in household (9.7% compared to 9.0%, a difference of 7.8%), 4 or more vehicles in household (6.8% compared to 7.0%, a difference of 2.8%), and 2 or more vehicles in household (57.8% compared to 57.0%, a difference of 1.4%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (20.6% compared to 20.8%, a difference of 0.51%), 1 or more vehicles in household (90.4% compared to 91.1%, a difference of 0.73%), and 2 or more vehicles in household (57.8% compared to 57.0%, a difference of 1.4%).

Vehicle Availability Metric | Burmese | Asian |
No Vehicles Available | Excellent 9.7% | Exceptional 9.0% |
1+ Vehicles Available | Excellent 90.4% | Exceptional 91.1% |
2+ Vehicles Available | Exceptional 57.8% | Exceptional 57.0% |
3+ Vehicles Available | Exceptional 20.6% | Exceptional 20.8% |
4+ Vehicles Available | Exceptional 6.8% | Exceptional 7.0% |
Burmese vs Asian Education Level
When considering education level, the most significant differences between Burmese and Asian communities in the United States are seen in no schooling completed (1.9% compared to 2.4%, a difference of 23.1%), professional degree (6.1% compared to 5.5%, a difference of 11.5%), and doctorate degree (2.6% compared to 2.4%, a difference of 8.5%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 97.6%, a difference of 0.45%), kindergarten (98.1% compared to 97.6%, a difference of 0.46%), and 1st grade (98.0% compared to 97.6%, a difference of 0.46%).

Education Level Metric | Burmese | Asian |
No Schooling Completed | Excellent 1.9% | Tragic 2.4% |
Nursery School | Excellent 98.1% | Tragic 97.6% |
Kindergarten | Excellent 98.1% | Tragic 97.6% |
1st Grade | Excellent 98.0% | Tragic 97.6% |
2nd Grade | Excellent 98.0% | Tragic 97.5% |
3rd Grade | Good 97.9% | Tragic 97.4% |
4th Grade | Excellent 97.7% | Tragic 97.1% |
5th Grade | Excellent 97.5% | Tragic 96.9% |
6th Grade | Excellent 97.3% | Tragic 96.6% |
7th Grade | Excellent 96.3% | Tragic 95.5% |
8th Grade | Exceptional 96.1% | Tragic 95.2% |
9th Grade | Exceptional 95.4% | Tragic 94.5% |
10th Grade | Exceptional 94.5% | Fair 93.5% |
11th Grade | Exceptional 93.6% | Average 92.5% |
12th Grade, No Diploma | Exceptional 92.6% | Good 91.4% |
High School Diploma | Exceptional 90.8% | Good 89.4% |
GED/Equivalency | Exceptional 88.3% | Exceptional 86.7% |
College, Under 1 year | Exceptional 71.9% | Exceptional 69.4% |
College, 1 year or more | Exceptional 66.7% | Exceptional 64.2% |
Associate's Degree | Exceptional 54.6% | Exceptional 52.1% |
Bachelor's Degree | Exceptional 46.9% | Exceptional 44.4% |
Master's Degree | Exceptional 19.7% | Exceptional 18.4% |
Professional Degree | Exceptional 6.1% | Exceptional 5.5% |
Doctorate Degree | Exceptional 2.6% | Exceptional 2.4% |
Burmese vs Asian Disability
When considering disability, the most significant differences between Burmese and Asian communities in the United States are seen in disability age 65 to 74 (20.6% compared to 21.4%, a difference of 3.6%), disability age under 5 (1.1% compared to 1.1%, a difference of 3.5%), and self-care disability (2.3% compared to 2.3%, a difference of 2.9%). Conversely, both communities are more comparable in terms of male disability (10.0% compared to 10.0%, a difference of 0.11%), cognitive disability (16.7% compared to 16.7%, a difference of 0.50%), and disability age 5 to 17 (4.8% compared to 4.8%, a difference of 0.56%).

Disability Metric | Burmese | Asian |
Disability | Exceptional 10.4% | Exceptional 10.4% |
Males | Exceptional 10.0% | Exceptional 10.0% |
Females | Exceptional 10.7% | Exceptional 10.9% |
Age | Under 5 years | Exceptional 1.1% | Exceptional 1.1% |
Age | 5 to 17 years | Exceptional 4.8% | Exceptional 4.8% |
Age | 18 to 34 years | Exceptional 6.0% | Exceptional 5.8% |
Age | 35 to 64 years | Exceptional 9.2% | Exceptional 9.4% |
Age | 65 to 74 years | Exceptional 20.6% | Exceptional 21.4% |
Age | Over 75 years | Exceptional 45.9% | Excellent 46.9% |
Vision | Exceptional 1.8% | Exceptional 1.9% |
Hearing | Exceptional 2.8% | Exceptional 2.7% |
Cognitive | Exceptional 16.7% | Exceptional 16.7% |
Ambulatory | Exceptional 5.3% | Exceptional 5.4% |
Self-Care | Exceptional 2.3% | Exceptional 2.3% |