Mongolian vs Burmese Community Comparison
COMPARE
Mongolian
Burmese
Social Comparison
Social Comparison
Mongolians
Burmese
8,008
SOCIAL INDEX
77.6/ 100
SOCIAL RATING
93rd/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
Burmese Integration in Mongolian Communities
The statistical analysis conducted on geographies consisting of 137,068,996 people shows a weak negative correlation between the proportion of Burmese within Mongolian communities in the United States with a correlation coefficient (R) of -0.230. On average, for every 1% (one percent) increase in Mongolians within a typical geography, there is a decrease of 0.253% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Mongolians corresponds to a decrease of 252.9 Burmese.
Mongolian vs Burmese Income
When considering income, the most significant differences between Mongolian and Burmese communities in the United States are seen in median household income ($93,971 compared to $103,145, a difference of 9.8%), householder income over 65 years ($65,326 compared to $71,139, a difference of 8.9%), and householder income ages 45 - 64 years ($111,602 compared to $121,444, a difference of 8.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,540 compared to $54,800, a difference of 4.3%), wage/income gap (26.6% compared to 28.0%, a difference of 5.2%), and median female earnings ($42,542 compared to $44,911, a difference of 5.6%).
Income Metric | Mongolian | Burmese |
Per Capita Income | Exceptional $49,173 | Exceptional $52,005 |
Median Family Income | Exceptional $114,553 | Exceptional $123,369 |
Median Household Income | Exceptional $93,971 | Exceptional $103,145 |
Median Earnings | Exceptional $51,038 | Exceptional $54,559 |
Median Male Earnings | Exceptional $60,350 | Exceptional $65,236 |
Median Female Earnings | Exceptional $42,542 | Exceptional $44,911 |
Householder Age | Under 25 years | Good $52,540 | Exceptional $54,800 |
Householder Age | 25 - 44 years | Exceptional $104,578 | Exceptional $113,701 |
Householder Age | 45 - 64 years | Exceptional $111,602 | Exceptional $121,444 |
Householder Age | Over 65 years | Exceptional $65,326 | Exceptional $71,139 |
Wage/Income Gap | Poor 26.6% | Tragic 28.0% |
Mongolian vs Burmese Poverty
When considering poverty, the most significant differences between Mongolian and Burmese communities in the United States are seen in child poverty under the age of 5 (16.1% compared to 13.2%, a difference of 21.8%), receiving food stamps (10.5% compared to 8.6%, a difference of 20.8%), and child poverty among boys under 16 (15.4% compared to 13.0%, a difference of 18.9%). Conversely, both communities are more comparable in terms of single father poverty (15.3% compared to 15.5%, a difference of 1.4%), single male poverty (12.2% compared to 11.7%, a difference of 3.7%), and seniors poverty over the age of 75 (12.2% compared to 11.7%, a difference of 4.7%).
Poverty Metric | Mongolian | Burmese |
Poverty | Average 12.4% | Exceptional 10.7% |
Families | Excellent 8.6% | Exceptional 7.3% |
Males | Fair 11.3% | Exceptional 9.7% |
Females | Average 13.4% | Exceptional 11.6% |
Females 18 to 24 years | Tragic 21.6% | Exceptional 18.9% |
Females 25 to 34 years | Exceptional 12.8% | Exceptional 11.2% |
Children Under 5 years | Exceptional 16.1% | Exceptional 13.2% |
Children Under 16 years | Excellent 15.2% | Exceptional 12.8% |
Boys Under 16 years | Exceptional 15.4% | Exceptional 13.0% |
Girls Under 16 years | Excellent 15.4% | Exceptional 13.0% |
Single Males | Exceptional 12.2% | Exceptional 11.7% |
Single Females | Exceptional 20.2% | Exceptional 18.3% |
Single Fathers | Exceptional 15.3% | Exceptional 15.5% |
Single Mothers | Exceptional 27.7% | Exceptional 26.2% |
Married Couples | Good 5.0% | Exceptional 4.3% |
Seniors Over 65 years | Average 10.9% | Exceptional 10.1% |
Seniors Over 75 years | Average 12.2% | Excellent 11.7% |
Receiving Food Stamps | Exceptional 10.5% | Exceptional 8.6% |
Mongolian vs Burmese Unemployment
When considering unemployment, the most significant differences between Mongolian and Burmese communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.4% compared to 8.0%, a difference of 5.7%), unemployment among seniors over 75 years (8.6% compared to 8.2%, a difference of 5.0%), and male unemployment (5.1% compared to 4.9%, a difference of 4.7%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (6.5% compared to 6.5%, a difference of 0.10%), unemployment among ages 35 to 44 years (4.3% compared to 4.3%, a difference of 0.12%), and unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 0.12%).
Unemployment Metric | Mongolian | Burmese |
Unemployment | Exceptional 5.0% | Exceptional 4.9% |
Males | Excellent 5.1% | Exceptional 4.9% |
Females | Exceptional 5.0% | Exceptional 5.0% |
Youth < 25 | Exceptional 11.1% | Excellent 11.3% |
Age | 16 to 19 years | Exceptional 16.9% | Exceptional 17.0% |
Age | 20 to 24 years | Exceptional 9.9% | Excellent 10.2% |
Age | 25 to 29 years | Exceptional 6.2% | Exceptional 6.2% |
Age | 30 to 34 years | Exceptional 5.2% | Exceptional 5.1% |
Age | 35 to 44 years | Exceptional 4.3% | Exceptional 4.3% |
Age | 45 to 54 years | Exceptional 4.3% | Exceptional 4.2% |
Age | 55 to 59 years | Exceptional 4.6% | Exceptional 4.5% |
Age | 60 to 64 years | Excellent 4.8% | Excellent 4.8% |
Age | 65 to 74 years | Good 5.3% | Exceptional 5.2% |
Seniors > 65 | Average 5.1% | Exceptional 5.0% |
Seniors > 75 | Excellent 8.6% | Exceptional 8.2% |
Women w/ Children < 6 | Exceptional 6.5% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Exceptional 8.4% | Exceptional 8.0% |
Women w/ Children < 18 | Exceptional 5.0% | Exceptional 4.9% |
Mongolian vs Burmese Labor Participation
When considering labor participation, the most significant differences between Mongolian and Burmese communities in the United States are seen in in labor force | age 16-19 (35.3% compared to 34.5%, a difference of 2.3%), in labor force | age 45-54 (83.3% compared to 83.6%, a difference of 0.42%), and in labor force | age 20-64 (79.9% compared to 80.3%, a difference of 0.40%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.3% compared to 85.3%, a difference of 0.050%), in labor force | age 25-29 (85.1% compared to 85.1%, a difference of 0.070%), and in labor force | age 35-44 (84.8% compared to 84.7%, a difference of 0.16%).
Labor Participation Metric | Mongolian | Burmese |
In Labor Force | Age > 16 | Exceptional 66.1% | Exceptional 66.2% |
In Labor Force | Age 20-64 | Exceptional 79.9% | Exceptional 80.3% |
In Labor Force | Age 16-19 | Tragic 35.3% | Tragic 34.5% |
In Labor Force | Age 20-24 | Tragic 73.3% | Tragic 73.6% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Exceptional 85.3% | 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% |
Mongolian vs Burmese Family Structure
When considering family structure, the most significant differences between Mongolian and Burmese communities in the United States are seen in single mother households (5.8% compared to 5.3%, a difference of 9.5%), married-couple households (46.3% compared to 49.8%, a difference of 7.5%), and births to unmarried women (27.9% compared to 26.4%, a difference of 5.9%). Conversely, both communities are more comparable in terms of average family size (3.20 compared to 3.22, a difference of 0.57%), single father households (2.1% compared to 2.0%, a difference of 0.92%), and divorced or separated (11.1% compared to 10.7%, a difference of 3.3%).
Family Structure Metric | Mongolian | Burmese |
Family Households | Tragic 62.8% | Exceptional 65.7% |
Family Households with Children | Good 27.6% | Exceptional 28.5% |
Married-couple Households | Average 46.3% | Exceptional 49.8% |
Average Family Size | Poor 3.20 | Fair 3.22 |
Single Father Households | Exceptional 2.1% | Exceptional 2.0% |
Single Mother Households | Exceptional 5.8% | Exceptional 5.3% |
Currently Married | Fair 46.4% | Exceptional 48.9% |
Divorced or Separated | Exceptional 11.1% | Exceptional 10.7% |
Births to Unmarried Women | Exceptional 27.9% | Exceptional 26.4% |
Mongolian vs Burmese Vehicle Availability
When considering vehicle availability, the most significant differences between Mongolian and Burmese communities in the United States are seen in no vehicles in household (13.1% compared to 9.7%, a difference of 35.6%), 4 or more vehicles in household (5.8% compared to 6.8%, a difference of 17.6%), and 3 or more vehicles in household (18.1% compared to 20.6%, a difference of 14.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.0% compared to 90.4%, a difference of 4.0%), 2 or more vehicles in household (52.8% compared to 57.8%, a difference of 9.4%), and 3 or more vehicles in household (18.1% compared to 20.6%, a difference of 14.0%).
Vehicle Availability Metric | Mongolian | Burmese |
No Vehicles Available | Tragic 13.1% | Excellent 9.7% |
1+ Vehicles Available | Tragic 87.0% | Excellent 90.4% |
2+ Vehicles Available | Tragic 52.8% | Exceptional 57.8% |
3+ Vehicles Available | Tragic 18.1% | Exceptional 20.6% |
4+ Vehicles Available | Tragic 5.8% | Exceptional 6.8% |
Mongolian vs Burmese Education Level
When considering education level, the most significant differences between Mongolian and Burmese communities in the United States are seen in no schooling completed (2.1% compared to 1.9%, a difference of 8.6%), doctorate degree (2.8% compared to 2.6%, a difference of 4.7%), and bachelor's degree (45.4% compared to 46.9%, a difference of 3.2%). Conversely, both communities are more comparable in terms of professional degree (6.1% compared to 6.1%, a difference of 0.13%), kindergarten (97.9% compared to 98.1%, a difference of 0.18%), and 1st grade (97.9% compared to 98.0%, a difference of 0.18%).
Education Level Metric | Mongolian | Burmese |
No Schooling Completed | Average 2.1% | Excellent 1.9% |
Nursery School | Fair 97.9% | Excellent 98.1% |
Kindergarten | Fair 97.9% | Excellent 98.1% |
1st Grade | Fair 97.9% | Excellent 98.0% |
2nd Grade | Fair 97.8% | Excellent 98.0% |
3rd Grade | Fair 97.7% | Good 97.9% |
4th Grade | Fair 97.5% | Excellent 97.7% |
5th Grade | Fair 97.3% | Excellent 97.5% |
6th Grade | Average 97.0% | Excellent 97.3% |
7th Grade | Average 96.0% | Excellent 96.3% |
8th Grade | Average 95.8% | Exceptional 96.1% |
9th Grade | Good 95.0% | Exceptional 95.4% |
10th Grade | Good 94.0% | Exceptional 94.5% |
11th Grade | Excellent 93.0% | Exceptional 93.6% |
12th Grade, No Diploma | Excellent 91.8% | Exceptional 92.6% |
High School Diploma | Exceptional 89.9% | Exceptional 90.8% |
GED/Equivalency | Exceptional 87.0% | Exceptional 88.3% |
College, Under 1 year | Exceptional 69.9% | Exceptional 71.9% |
College, 1 year or more | Exceptional 64.8% | Exceptional 66.7% |
Associate's Degree | Exceptional 53.0% | Exceptional 54.6% |
Bachelor's Degree | Exceptional 45.4% | Exceptional 46.9% |
Master's Degree | Exceptional 19.4% | Exceptional 19.7% |
Professional Degree | Exceptional 6.1% | Exceptional 6.1% |
Doctorate Degree | Exceptional 2.8% | Exceptional 2.6% |
Mongolian vs Burmese Disability
When considering disability, the most significant differences between Mongolian and Burmese communities in the United States are seen in disability age 5 to 17 (5.3% compared to 4.8%, a difference of 10.2%), disability age 35 to 64 (10.1% compared to 9.2%, a difference of 9.9%), and cognitive disability (17.7% compared to 16.7%, a difference of 6.5%). Conversely, both communities are more comparable in terms of disability age over 75 (46.3% compared to 45.9%, a difference of 0.95%), disability age under 5 (1.1% compared to 1.1%, a difference of 2.1%), and hearing disability (2.7% compared to 2.8%, a difference of 2.2%).
Disability Metric | Mongolian | Burmese |
Disability | Exceptional 10.8% | Exceptional 10.4% |
Males | Exceptional 10.3% | Exceptional 10.0% |
Females | Exceptional 11.2% | Exceptional 10.7% |
Age | Under 5 years | Exceptional 1.1% | Exceptional 1.1% |
Age | 5 to 17 years | Exceptional 5.3% | Exceptional 4.8% |
Age | 18 to 34 years | Exceptional 6.2% | Exceptional 6.0% |
Age | 35 to 64 years | Exceptional 10.1% | Exceptional 9.2% |
Age | 65 to 74 years | Exceptional 21.8% | Exceptional 20.6% |
Age | Over 75 years | Exceptional 46.3% | Exceptional 45.9% |
Vision | Exceptional 1.9% | Exceptional 1.8% |
Hearing | Exceptional 2.7% | Exceptional 2.8% |
Cognitive | Tragic 17.7% | Exceptional 16.7% |
Ambulatory | Exceptional 5.5% | Exceptional 5.3% |
Self-Care | Exceptional 2.3% | Exceptional 2.3% |