Burmese vs Mongolian Community Comparison
COMPARE
Burmese
Mongolian
Social Comparison
Social Comparison
Burmese
Mongolians
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
8,008
SOCIAL INDEX
77.6/ 100
SOCIAL RATING
93rd/ 347
SOCIAL RANK
Mongolian Integration in Burmese Communities
The statistical analysis conducted on geographies consisting of 137,349,024 people shows a substantial positive correlation between the proportion of Mongolians within Burmese communities in the United States with a correlation coefficient (R) of 0.540. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.006% in Mongolians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 5.9 Mongolians.
Burmese vs Mongolian Income
When considering income, the most significant differences between Burmese and Mongolian communities in the United States are seen in median household income ($103,145 compared to $93,971, a difference of 9.8%), householder income over 65 years ($71,139 compared to $65,326, a difference of 8.9%), and householder income ages 45 - 64 years ($121,444 compared to $111,602, a difference of 8.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $52,540, a difference of 4.3%), wage/income gap (28.0% compared to 26.6%, a difference of 5.2%), and median female earnings ($44,911 compared to $42,542, a difference of 5.6%).
Income Metric | Burmese | Mongolian |
Per Capita Income | Exceptional $52,005 | Exceptional $49,173 |
Median Family Income | Exceptional $123,369 | Exceptional $114,553 |
Median Household Income | Exceptional $103,145 | Exceptional $93,971 |
Median Earnings | Exceptional $54,559 | Exceptional $51,038 |
Median Male Earnings | Exceptional $65,236 | Exceptional $60,350 |
Median Female Earnings | Exceptional $44,911 | Exceptional $42,542 |
Householder Age | Under 25 years | Exceptional $54,800 | Good $52,540 |
Householder Age | 25 - 44 years | Exceptional $113,701 | Exceptional $104,578 |
Householder Age | 45 - 64 years | Exceptional $121,444 | Exceptional $111,602 |
Householder Age | Over 65 years | Exceptional $71,139 | Exceptional $65,326 |
Wage/Income Gap | Tragic 28.0% | Poor 26.6% |
Burmese vs Mongolian Poverty
When considering poverty, the most significant differences between Burmese and Mongolian communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 16.1%, a difference of 21.8%), receiving food stamps (8.6% compared to 10.5%, a difference of 20.8%), and child poverty among boys under 16 (13.0% compared to 15.4%, a difference of 18.9%). Conversely, both communities are more comparable in terms of single father poverty (15.5% compared to 15.3%, a difference of 1.4%), single male poverty (11.7% compared to 12.2%, a difference of 3.7%), and seniors poverty over the age of 75 (11.7% compared to 12.2%, a difference of 4.7%).
Poverty Metric | Burmese | Mongolian |
Poverty | Exceptional 10.7% | Average 12.4% |
Families | Exceptional 7.3% | Excellent 8.6% |
Males | Exceptional 9.7% | Fair 11.3% |
Females | Exceptional 11.6% | Average 13.4% |
Females 18 to 24 years | Exceptional 18.9% | Tragic 21.6% |
Females 25 to 34 years | Exceptional 11.2% | Exceptional 12.8% |
Children Under 5 years | Exceptional 13.2% | Exceptional 16.1% |
Children Under 16 years | Exceptional 12.8% | Excellent 15.2% |
Boys Under 16 years | Exceptional 13.0% | Exceptional 15.4% |
Girls Under 16 years | Exceptional 13.0% | Excellent 15.4% |
Single Males | Exceptional 11.7% | Exceptional 12.2% |
Single Females | Exceptional 18.3% | Exceptional 20.2% |
Single Fathers | Exceptional 15.5% | Exceptional 15.3% |
Single Mothers | Exceptional 26.2% | Exceptional 27.7% |
Married Couples | Exceptional 4.3% | Good 5.0% |
Seniors Over 65 years | Exceptional 10.1% | Average 10.9% |
Seniors Over 75 years | Excellent 11.7% | Average 12.2% |
Receiving Food Stamps | Exceptional 8.6% | Exceptional 10.5% |
Burmese vs Mongolian Unemployment
When considering unemployment, the most significant differences between Burmese and Mongolian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.0% compared to 8.4%, a difference of 5.7%), unemployment among seniors over 75 years (8.2% compared to 8.6%, a difference of 5.0%), and male unemployment (4.9% compared to 5.1%, 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 | Burmese | Mongolian |
Unemployment | Exceptional 4.9% | Exceptional 5.0% |
Males | Exceptional 4.9% | Excellent 5.1% |
Females | Exceptional 5.0% | Exceptional 5.0% |
Youth < 25 | Excellent 11.3% | Exceptional 11.1% |
Age | 16 to 19 years | Exceptional 17.0% | Exceptional 16.9% |
Age | 20 to 24 years | Excellent 10.2% | Exceptional 9.9% |
Age | 25 to 29 years | Exceptional 6.2% | Exceptional 6.2% |
Age | 30 to 34 years | Exceptional 5.1% | Exceptional 5.2% |
Age | 35 to 44 years | Exceptional 4.3% | Exceptional 4.3% |
Age | 45 to 54 years | Exceptional 4.2% | Exceptional 4.3% |
Age | 55 to 59 years | Exceptional 4.5% | Exceptional 4.6% |
Age | 60 to 64 years | Excellent 4.8% | Excellent 4.8% |
Age | 65 to 74 years | Exceptional 5.2% | Good 5.3% |
Seniors > 65 | Exceptional 5.0% | Average 5.1% |
Seniors > 75 | Exceptional 8.2% | Excellent 8.6% |
Women w/ Children < 6 | Exceptional 6.5% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Exceptional 8.0% | Exceptional 8.4% |
Women w/ Children < 18 | Exceptional 4.9% | Exceptional 5.0% |
Burmese vs Mongolian Labor Participation
When considering labor participation, the most significant differences between Burmese and Mongolian communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 35.3%, a difference of 2.3%), in labor force | age 45-54 (83.6% compared to 83.3%, a difference of 0.42%), and in labor force | age 20-64 (80.3% compared to 79.9%, 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 (84.7% compared to 84.8%, a difference of 0.16%).
Labor Participation Metric | Burmese | Mongolian |
In Labor Force | Age > 16 | Exceptional 66.2% | Exceptional 66.1% |
In Labor Force | Age 20-64 | Exceptional 80.3% | Exceptional 79.9% |
In Labor Force | Age 16-19 | Tragic 34.5% | Tragic 35.3% |
In Labor Force | Age 20-24 | Tragic 73.6% | Tragic 73.3% |
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 84.7% | Exceptional 84.8% |
In Labor Force | Age 45-54 | Exceptional 83.6% | Exceptional 83.3% |
Burmese vs Mongolian Family Structure
When considering family structure, the most significant differences between Burmese and Mongolian communities in the United States are seen in single mother households (5.3% compared to 5.8%, a difference of 9.5%), married-couple households (49.8% compared to 46.3%, a difference of 7.5%), and births to unmarried women (26.4% compared to 27.9%, a difference of 5.9%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.20, a difference of 0.57%), single father households (2.0% compared to 2.1%, a difference of 0.92%), and divorced or separated (10.7% compared to 11.1%, a difference of 3.3%).
Family Structure Metric | Burmese | Mongolian |
Family Households | Exceptional 65.7% | Tragic 62.8% |
Family Households with Children | Exceptional 28.5% | Good 27.6% |
Married-couple Households | Exceptional 49.8% | Average 46.3% |
Average Family Size | Fair 3.22 | Poor 3.20 |
Single Father Households | Exceptional 2.0% | Exceptional 2.1% |
Single Mother Households | Exceptional 5.3% | Exceptional 5.8% |
Currently Married | Exceptional 48.9% | Fair 46.4% |
Divorced or Separated | Exceptional 10.7% | Exceptional 11.1% |
Births to Unmarried Women | Exceptional 26.4% | Exceptional 27.9% |
Burmese vs Mongolian Vehicle Availability
When considering vehicle availability, the most significant differences between Burmese and Mongolian communities in the United States are seen in no vehicles in household (9.7% compared to 13.1%, a difference of 35.6%), 4 or more vehicles in household (6.8% compared to 5.8%, a difference of 17.6%), and 3 or more vehicles in household (20.6% compared to 18.1%, a difference of 14.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 87.0%, a difference of 4.0%), 2 or more vehicles in household (57.8% compared to 52.8%, a difference of 9.4%), and 3 or more vehicles in household (20.6% compared to 18.1%, a difference of 14.0%).
Vehicle Availability Metric | Burmese | Mongolian |
No Vehicles Available | Excellent 9.7% | Tragic 13.1% |
1+ Vehicles Available | Excellent 90.4% | Tragic 87.0% |
2+ Vehicles Available | Exceptional 57.8% | Tragic 52.8% |
3+ Vehicles Available | Exceptional 20.6% | Tragic 18.1% |
4+ Vehicles Available | Exceptional 6.8% | Tragic 5.8% |
Burmese vs Mongolian Education Level
When considering education level, the most significant differences between Burmese and Mongolian communities in the United States are seen in no schooling completed (1.9% compared to 2.1%, a difference of 8.6%), doctorate degree (2.6% compared to 2.8%, a difference of 4.7%), and bachelor's degree (46.9% compared to 45.4%, 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 (98.1% compared to 97.9%, a difference of 0.18%), and 1st grade (98.0% compared to 97.9%, a difference of 0.18%).
Education Level Metric | Burmese | Mongolian |
No Schooling Completed | Excellent 1.9% | Average 2.1% |
Nursery School | Excellent 98.1% | Fair 97.9% |
Kindergarten | Excellent 98.1% | Fair 97.9% |
1st Grade | Excellent 98.0% | Fair 97.9% |
2nd Grade | Excellent 98.0% | Fair 97.8% |
3rd Grade | Good 97.9% | Fair 97.7% |
4th Grade | Excellent 97.7% | Fair 97.5% |
5th Grade | Excellent 97.5% | Fair 97.3% |
6th Grade | Excellent 97.3% | Average 97.0% |
7th Grade | Excellent 96.3% | Average 96.0% |
8th Grade | Exceptional 96.1% | Average 95.8% |
9th Grade | Exceptional 95.4% | Good 95.0% |
10th Grade | Exceptional 94.5% | Good 94.0% |
11th Grade | Exceptional 93.6% | Excellent 93.0% |
12th Grade, No Diploma | Exceptional 92.6% | Excellent 91.8% |
High School Diploma | Exceptional 90.8% | Exceptional 89.9% |
GED/Equivalency | Exceptional 88.3% | Exceptional 87.0% |
College, Under 1 year | Exceptional 71.9% | Exceptional 69.9% |
College, 1 year or more | Exceptional 66.7% | Exceptional 64.8% |
Associate's Degree | Exceptional 54.6% | Exceptional 53.0% |
Bachelor's Degree | Exceptional 46.9% | Exceptional 45.4% |
Master's Degree | Exceptional 19.7% | Exceptional 19.4% |
Professional Degree | Exceptional 6.1% | Exceptional 6.1% |
Doctorate Degree | Exceptional 2.6% | Exceptional 2.8% |
Burmese vs Mongolian Disability
When considering disability, the most significant differences between Burmese and Mongolian communities in the United States are seen in disability age 5 to 17 (4.8% compared to 5.3%, a difference of 10.2%), disability age 35 to 64 (9.2% compared to 10.1%, a difference of 9.9%), and cognitive disability (16.7% compared to 17.7%, a difference of 6.5%). Conversely, both communities are more comparable in terms of disability age over 75 (45.9% compared to 46.3%, a difference of 0.95%), disability age under 5 (1.1% compared to 1.1%, a difference of 2.1%), and hearing disability (2.8% compared to 2.7%, a difference of 2.2%).
Disability Metric | Burmese | Mongolian |
Disability | Exceptional 10.4% | Exceptional 10.8% |
Males | Exceptional 10.0% | Exceptional 10.3% |
Females | Exceptional 10.7% | Exceptional 11.2% |
Age | Under 5 years | Exceptional 1.1% | Exceptional 1.1% |
Age | 5 to 17 years | Exceptional 4.8% | Exceptional 5.3% |
Age | 18 to 34 years | Exceptional 6.0% | Exceptional 6.2% |
Age | 35 to 64 years | Exceptional 9.2% | Exceptional 10.1% |
Age | 65 to 74 years | Exceptional 20.6% | Exceptional 21.8% |
Age | Over 75 years | Exceptional 45.9% | Exceptional 46.3% |
Vision | Exceptional 1.8% | Exceptional 1.9% |
Hearing | Exceptional 2.8% | Exceptional 2.7% |
Cognitive | Exceptional 16.7% | Tragic 17.7% |
Ambulatory | Exceptional 5.3% | Exceptional 5.5% |
Self-Care | Exceptional 2.3% | Exceptional 2.3% |