Indian (Asian) vs Burmese Community Comparison
COMPARE
Indian (Asian)
Burmese
Social Comparison
Social Comparison
Indians (Asian)
Burmese
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
Burmese Integration in Indian (Asian) Communities
The statistical analysis conducted on geographies consisting of 438,980,232 people shows a weak positive correlation between the proportion of Burmese within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.227. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.030% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 29.5 Burmese.
Indian (Asian) vs Burmese Income
When considering income, the most significant differences between Indian (Asian) and Burmese communities in the United States are seen in householder income under 25 years ($58,239 compared to $54,800, a difference of 6.3%), wage/income gap (26.4% compared to 28.0%, a difference of 5.9%), and householder income ages 25 - 44 years ($119,496 compared to $113,701, a difference of 5.1%). Conversely, both communities are more comparable in terms of householder income ages 45 - 64 years ($122,343 compared to $121,444, a difference of 0.74%), householder income over 65 years ($70,238 compared to $71,139, a difference of 1.3%), and median male earnings ($66,078 compared to $65,236, a difference of 1.3%).
Income Metric | Indian (Asian) | Burmese |
Per Capita Income | Exceptional $53,874 | Exceptional $52,005 |
Median Family Income | Exceptional $125,312 | Exceptional $123,369 |
Median Household Income | Exceptional $105,262 | Exceptional $103,145 |
Median Earnings | Exceptional $56,253 | Exceptional $54,559 |
Median Male Earnings | Exceptional $66,078 | Exceptional $65,236 |
Median Female Earnings | Exceptional $46,481 | Exceptional $44,911 |
Householder Age | Under 25 years | Exceptional $58,239 | Exceptional $54,800 |
Householder Age | 25 - 44 years | Exceptional $119,496 | Exceptional $113,701 |
Householder Age | 45 - 64 years | Exceptional $122,343 | Exceptional $121,444 |
Householder Age | Over 65 years | Exceptional $70,238 | Exceptional $71,139 |
Wage/Income Gap | Poor 26.4% | Tragic 28.0% |
Indian (Asian) vs Burmese Poverty
When considering poverty, the most significant differences between Indian (Asian) and Burmese communities in the United States are seen in married-couple family poverty (4.8% compared to 4.3%, a difference of 11.6%), receiving food stamps (9.6% compared to 8.6%, a difference of 11.3%), and seniors poverty over the age of 65 (11.1% compared to 10.1%, a difference of 10.1%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (11.2% compared to 11.2%, a difference of 0.010%), child poverty under the age of 5 (13.4% compared to 13.2%, a difference of 1.7%), and single female poverty (17.9% compared to 18.3%, a difference of 1.8%).
Poverty Metric | Indian (Asian) | Burmese |
Poverty | Exceptional 11.3% | Exceptional 10.7% |
Families | Exceptional 7.7% | Exceptional 7.3% |
Males | Exceptional 10.4% | Exceptional 9.7% |
Females | Exceptional 12.2% | Exceptional 11.6% |
Females 18 to 24 years | Excellent 19.6% | Exceptional 18.9% |
Females 25 to 34 years | Exceptional 11.2% | Exceptional 11.2% |
Children Under 5 years | Exceptional 13.4% | Exceptional 13.2% |
Children Under 16 years | Exceptional 13.1% | Exceptional 12.8% |
Boys Under 16 years | Exceptional 13.3% | Exceptional 13.0% |
Girls Under 16 years | Exceptional 13.3% | Exceptional 13.0% |
Single Males | Exceptional 11.3% | Exceptional 11.7% |
Single Females | Exceptional 17.9% | Exceptional 18.3% |
Single Fathers | Exceptional 14.8% | Exceptional 15.5% |
Single Mothers | Exceptional 25.8% | Exceptional 26.2% |
Married Couples | Exceptional 4.8% | Exceptional 4.3% |
Seniors Over 65 years | Fair 11.1% | Exceptional 10.1% |
Seniors Over 75 years | Tragic 12.7% | Excellent 11.7% |
Receiving Food Stamps | Exceptional 9.6% | Exceptional 8.6% |
Indian (Asian) vs Burmese Unemployment
When considering unemployment, the most significant differences between Indian (Asian) and Burmese communities in the United States are seen in unemployment among ages 55 to 59 years (4.9% compared to 4.5%, a difference of 8.9%), male unemployment (5.2% compared to 4.9%, a difference of 6.0%), and unemployment among ages 45 to 54 years (4.5% compared to 4.2%, a difference of 5.9%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.1% compared to 5.1%, a difference of 0.32%), unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 0.77%), and unemployment among ages 20 to 24 years (10.3% compared to 10.2%, a difference of 0.95%).
Unemployment Metric | Indian (Asian) | Burmese |
Unemployment | Excellent 5.1% | Exceptional 4.9% |
Males | Good 5.2% | Exceptional 4.9% |
Females | Excellent 5.1% | Exceptional 5.0% |
Youth < 25 | Good 11.5% | Excellent 11.3% |
Age | 16 to 19 years | Good 17.3% | Exceptional 17.0% |
Age | 20 to 24 years | Good 10.3% | Excellent 10.2% |
Age | 25 to 29 years | Exceptional 6.3% | Exceptional 6.2% |
Age | 30 to 34 years | Exceptional 5.1% | Exceptional 5.1% |
Age | 35 to 44 years | Exceptional 4.4% | Exceptional 4.3% |
Age | 45 to 54 years | Good 4.5% | Exceptional 4.2% |
Age | 55 to 59 years | Tragic 4.9% | Exceptional 4.5% |
Age | 60 to 64 years | Tragic 5.0% | Excellent 4.8% |
Age | 65 to 74 years | Average 5.3% | Exceptional 5.2% |
Seniors > 65 | Average 5.2% | Exceptional 5.0% |
Seniors > 75 | Exceptional 8.0% | Exceptional 8.2% |
Women w/ Children < 6 | Exceptional 6.3% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Exceptional 8.0% |
Women w/ Children < 18 | Exceptional 4.9% | Exceptional 4.9% |
Indian (Asian) vs Burmese Labor Participation
When considering labor participation, the most significant differences between Indian (Asian) and Burmese communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 34.5%, a difference of 8.3%), in labor force | age 20-24 (71.9% compared to 73.6%, a difference of 2.4%), and in labor force | age > 16 (65.5% compared to 66.2%, a difference of 1.0%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.3%, a difference of 0.13%), in labor force | age 35-44 (84.8% compared to 84.7%, a difference of 0.13%), and in labor force | age 45-54 (83.3% compared to 83.6%, a difference of 0.36%).
Labor Participation Metric | Indian (Asian) | Burmese |
In Labor Force | Age > 16 | Excellent 65.5% | Exceptional 66.2% |
In Labor Force | Age 20-64 | Excellent 79.9% | Exceptional 80.3% |
In Labor Force | Age 16-19 | Tragic 31.9% | Tragic 34.5% |
In Labor Force | Age 20-24 | Tragic 71.9% | Tragic 73.6% |
In Labor Force | Age 25-29 | Good 84.7% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Exceptional 85.3% |
In Labor Force | Age 35-44 | Exceptional 84.8% | Exceptional 84.7% |
In Labor Force | Age 45-54 | Exceptional 83.3% | Exceptional 83.6% |
Indian (Asian) vs Burmese Family Structure
When considering family structure, the most significant differences between Indian (Asian) and Burmese communities in the United States are seen in single father households (1.9% compared to 2.0%, a difference of 6.7%), divorced or separated (10.2% compared to 10.7%, a difference of 5.1%), and births to unmarried women (25.3% compared to 26.4%, a difference of 4.3%). Conversely, both communities are more comparable in terms of average family size (3.24 compared to 3.22, a difference of 0.84%), family households (65.1% compared to 65.7%, a difference of 0.95%), and currently married (48.0% compared to 48.9%, a difference of 2.0%).
Family Structure Metric | Indian (Asian) | Burmese |
Family Households | Exceptional 65.1% | Exceptional 65.7% |
Family Households with Children | Good 27.6% | Exceptional 28.5% |
Married-couple Households | Exceptional 48.7% | Exceptional 49.8% |
Average Family Size | Good 3.24 | Fair 3.22 |
Single Father Households | Exceptional 1.9% | Exceptional 2.0% |
Single Mother Households | Exceptional 5.1% | Exceptional 5.3% |
Currently Married | Exceptional 48.0% | Exceptional 48.9% |
Divorced or Separated | Exceptional 10.2% | Exceptional 10.7% |
Births to Unmarried Women | Exceptional 25.3% | Exceptional 26.4% |
Indian (Asian) vs Burmese Vehicle Availability
When considering vehicle availability, the most significant differences between Indian (Asian) and Burmese communities in the United States are seen in no vehicles in household (14.1% compared to 9.7%, a difference of 45.3%), 2 or more vehicles in household (53.1% compared to 57.8%, a difference of 8.8%), and 3 or more vehicles in household (19.1% compared to 20.6%, a difference of 8.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 90.4%, a difference of 5.1%), 4 or more vehicles in household (6.4% compared to 6.8%, a difference of 6.1%), and 3 or more vehicles in household (19.1% compared to 20.6%, a difference of 8.0%).
Vehicle Availability Metric | Indian (Asian) | Burmese |
No Vehicles Available | Tragic 14.1% | Excellent 9.7% |
1+ Vehicles Available | Tragic 86.0% | Excellent 90.4% |
2+ Vehicles Available | Tragic 53.1% | Exceptional 57.8% |
3+ Vehicles Available | Fair 19.1% | Exceptional 20.6% |
4+ Vehicles Available | Good 6.4% | Exceptional 6.8% |
Indian (Asian) vs Burmese Education Level
When considering education level, the most significant differences between Indian (Asian) and Burmese communities in the United States are seen in no schooling completed (2.5% compared to 1.9%, a difference of 26.9%), doctorate degree (2.9% compared to 2.6%, a difference of 10.4%), and professional degree (6.5% compared to 6.1%, a difference of 6.2%). Conversely, both communities are more comparable in terms of associate's degree (54.8% compared to 54.6%, a difference of 0.34%), nursery school (97.6% compared to 98.1%, a difference of 0.47%), and kindergarten (97.6% compared to 98.1%, a difference of 0.47%).
Education Level Metric | Indian (Asian) | Burmese |
No Schooling Completed | Tragic 2.5% | Excellent 1.9% |
Nursery School | Tragic 97.6% | Excellent 98.1% |
Kindergarten | Tragic 97.6% | Excellent 98.1% |
1st Grade | Tragic 97.5% | Excellent 98.0% |
2nd Grade | Tragic 97.5% | Excellent 98.0% |
3rd Grade | Tragic 97.4% | Good 97.9% |
4th Grade | Tragic 97.2% | Excellent 97.7% |
5th Grade | Tragic 96.9% | Excellent 97.5% |
6th Grade | Tragic 96.6% | Excellent 97.3% |
7th Grade | Tragic 95.5% | Excellent 96.3% |
8th Grade | Tragic 95.2% | Exceptional 96.1% |
9th Grade | Tragic 94.5% | Exceptional 95.4% |
10th Grade | Poor 93.4% | Exceptional 94.5% |
11th Grade | Average 92.5% | Exceptional 93.6% |
12th Grade, No Diploma | Good 91.5% | Exceptional 92.6% |
High School Diploma | Good 89.6% | Exceptional 90.8% |
GED/Equivalency | Exceptional 87.1% | Exceptional 88.3% |
College, Under 1 year | Exceptional 70.8% | Exceptional 71.9% |
College, 1 year or more | Exceptional 66.1% | Exceptional 66.7% |
Associate's Degree | Exceptional 54.8% | Exceptional 54.6% |
Bachelor's Degree | Exceptional 47.4% | Exceptional 46.9% |
Master's Degree | Exceptional 20.5% | Exceptional 19.7% |
Professional Degree | Exceptional 6.5% | Exceptional 6.1% |
Doctorate Degree | Exceptional 2.9% | Exceptional 2.6% |
Indian (Asian) vs Burmese Disability
When considering disability, the most significant differences between Indian (Asian) and Burmese communities in the United States are seen in disability age under 5 (1.0% compared to 1.1%, a difference of 12.0%), disability age 18 to 34 (5.5% compared to 6.0%, a difference of 8.0%), and disability age 5 to 17 (4.6% compared to 4.8%, a difference of 4.6%). Conversely, both communities are more comparable in terms of vision disability (1.8% compared to 1.8%, a difference of 0.010%), female disability (10.8% compared to 10.7%, a difference of 0.39%), and disability age 65 to 74 (20.5% compared to 20.6%, a difference of 0.43%).
Disability Metric | Indian (Asian) | Burmese |
Disability | Exceptional 10.3% | Exceptional 10.4% |
Males | Exceptional 9.7% | Exceptional 10.0% |
Females | Exceptional 10.8% | Exceptional 10.7% |
Age | Under 5 years | Exceptional 1.0% | Exceptional 1.1% |
Age | 5 to 17 years | Exceptional 4.6% | Exceptional 4.8% |
Age | 18 to 34 years | Exceptional 5.5% | Exceptional 6.0% |
Age | 35 to 64 years | Exceptional 8.9% | Exceptional 9.2% |
Age | 65 to 74 years | Exceptional 20.5% | Exceptional 20.6% |
Age | Over 75 years | Exceptional 46.5% | Exceptional 45.9% |
Vision | Exceptional 1.8% | Exceptional 1.8% |
Hearing | Exceptional 2.7% | Exceptional 2.8% |
Cognitive | Exceptional 16.8% | Exceptional 16.7% |
Ambulatory | Exceptional 5.4% | Exceptional 5.3% |
Self-Care | Exceptional 2.3% | Exceptional 2.3% |