English vs Burmese Community Comparison
COMPARE
English
Burmese
Social Comparison
Social Comparison
English
Burmese
6,730
SOCIAL INDEX
64.8/ 100
SOCIAL RATING
146th/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
Burmese Integration in English Communities
The statistical analysis conducted on geographies consisting of 464,918,310 people shows no correlation between the proportion of Burmese within English communities in the United States with a correlation coefficient (R) of 0.044. On average, for every 1% (one percent) increase in English within a typical geography, there is an increase of 0.002% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 English corresponds to an increase of 1.7 Burmese.
English vs Burmese Income
When considering income, the most significant differences between English and Burmese communities in the United States are seen in median household income ($84,915 compared to $103,145, a difference of 21.5%), householder income ages 25 - 44 years ($94,429 compared to $113,701, a difference of 20.4%), and householder income ages 45 - 64 years ($102,021 compared to $121,444, a difference of 19.0%). Conversely, both communities are more comparable in terms of wage/income gap (29.5% compared to 28.0%, a difference of 5.2%), householder income under 25 years ($50,805 compared to $54,800, a difference of 7.9%), and householder income over 65 years ($61,487 compared to $71,139, a difference of 15.7%).
Income Metric | English | Burmese |
Per Capita Income | Average $43,982 | Exceptional $52,005 |
Median Family Income | Good $103,684 | Exceptional $123,369 |
Median Household Income | Average $84,915 | Exceptional $103,145 |
Median Earnings | Average $46,334 | Exceptional $54,559 |
Median Male Earnings | Good $55,747 | Exceptional $65,236 |
Median Female Earnings | Tragic $38,196 | Exceptional $44,911 |
Householder Age | Under 25 years | Tragic $50,805 | Exceptional $54,800 |
Householder Age | 25 - 44 years | Average $94,429 | Exceptional $113,701 |
Householder Age | 45 - 64 years | Good $102,021 | Exceptional $121,444 |
Householder Age | Over 65 years | Good $61,487 | Exceptional $71,139 |
Wage/Income Gap | Tragic 29.5% | Tragic 28.0% |
English vs Burmese Poverty
When considering poverty, the most significant differences between English and Burmese communities in the United States are seen in child poverty under the age of 5 (16.8% compared to 13.2%, a difference of 27.4%), female poverty among 25-34 year olds (13.9% compared to 11.2%, a difference of 24.5%), and single male poverty (14.1% compared to 11.7%, a difference of 19.9%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.2% compared to 4.3%, a difference of 2.3%), male poverty (10.3% compared to 9.7%, a difference of 6.2%), and poverty (11.3% compared to 10.7%, a difference of 6.4%).
Poverty Metric | English | Burmese |
Poverty | Exceptional 11.3% | Exceptional 10.7% |
Families | Exceptional 7.9% | Exceptional 7.3% |
Males | Exceptional 10.3% | Exceptional 9.7% |
Females | Exceptional 12.4% | Exceptional 11.6% |
Females 18 to 24 years | Poor 20.5% | Exceptional 18.9% |
Females 25 to 34 years | Fair 13.9% | Exceptional 11.2% |
Children Under 5 years | Good 16.8% | Exceptional 13.2% |
Children Under 16 years | Exceptional 14.9% | Exceptional 12.8% |
Boys Under 16 years | Exceptional 15.1% | Exceptional 13.0% |
Girls Under 16 years | Exceptional 15.3% | Exceptional 13.0% |
Single Males | Tragic 14.1% | Exceptional 11.7% |
Single Females | Tragic 21.9% | Exceptional 18.3% |
Single Fathers | Tragic 17.8% | Exceptional 15.5% |
Single Mothers | Tragic 30.2% | Exceptional 26.2% |
Married Couples | Exceptional 4.2% | Exceptional 4.3% |
Seniors Over 65 years | Exceptional 9.1% | Exceptional 10.1% |
Seniors Over 75 years | Exceptional 10.4% | Excellent 11.7% |
Receiving Food Stamps | Exceptional 9.8% | Exceptional 8.6% |
English vs Burmese Unemployment
When considering unemployment, the most significant differences between English and Burmese communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 8.2%, a difference of 23.2%), unemployment among women with children under 6 years (8.0% compared to 6.5%, a difference of 23.0%), and unemployment among women with children ages 6 to 17 years (9.4% compared to 8.0%, a difference of 17.6%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.2% compared to 5.2%, a difference of 0.44%), unemployment among women with children under 18 years (5.0% compared to 4.9%, a difference of 0.81%), and unemployment among ages 55 to 59 years (4.5% compared to 4.5%, a difference of 0.87%).
Unemployment Metric | English | Burmese |
Unemployment | Exceptional 4.6% | Exceptional 4.9% |
Males | Exceptional 4.8% | Exceptional 4.9% |
Females | Exceptional 4.6% | Exceptional 5.0% |
Youth < 25 | Exceptional 10.8% | Excellent 11.3% |
Age | 16 to 19 years | Exceptional 16.1% | Exceptional 17.0% |
Age | 20 to 24 years | Exceptional 9.8% | Excellent 10.2% |
Age | 25 to 29 years | Average 6.6% | Exceptional 6.2% |
Age | 30 to 34 years | Average 5.4% | Exceptional 5.1% |
Age | 35 to 44 years | Exceptional 4.4% | Exceptional 4.3% |
Age | 45 to 54 years | Exceptional 4.1% | Exceptional 4.2% |
Age | 55 to 59 years | Exceptional 4.5% | Exceptional 4.5% |
Age | 60 to 64 years | Exceptional 4.5% | Excellent 4.8% |
Age | 65 to 74 years | Exceptional 5.2% | Exceptional 5.2% |
Seniors > 65 | Exceptional 4.9% | Exceptional 5.0% |
Seniors > 75 | Tragic 10.1% | Exceptional 8.2% |
Women w/ Children < 6 | Tragic 8.0% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Tragic 9.4% | Exceptional 8.0% |
Women w/ Children < 18 | Exceptional 5.0% | Exceptional 4.9% |
English vs Burmese Labor Participation
When considering labor participation, the most significant differences between English and Burmese communities in the United States are seen in in labor force | age 16-19 (42.4% compared to 34.5%, a difference of 22.9%), in labor force | age 20-24 (77.6% compared to 73.6%, a difference of 5.4%), and in labor force | age > 16 (63.7% compared to 66.2%, a difference of 3.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.5% compared to 85.1%, a difference of 0.78%), in labor force | age 35-44 (83.8% compared to 84.7%, a difference of 1.0%), and in labor force | age 30-34 (84.0% compared to 85.3%, a difference of 1.4%).
Labor Participation Metric | English | Burmese |
In Labor Force | Age > 16 | Tragic 63.7% | Exceptional 66.2% |
In Labor Force | Age 20-64 | Tragic 78.8% | Exceptional 80.3% |
In Labor Force | Age 16-19 | Exceptional 42.4% | Tragic 34.5% |
In Labor Force | Age 20-24 | Exceptional 77.6% | Tragic 73.6% |
In Labor Force | Age 25-29 | Fair 84.5% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Tragic 84.0% | Exceptional 85.3% |
In Labor Force | Age 35-44 | Tragic 83.8% | Exceptional 84.7% |
In Labor Force | Age 45-54 | Tragic 82.2% | Exceptional 83.6% |
English vs Burmese Family Structure
When considering family structure, the most significant differences between English and Burmese communities in the United States are seen in births to unmarried women (31.7% compared to 26.4%, a difference of 20.4%), divorced or separated (12.6% compared to 10.7%, a difference of 17.8%), and single father households (2.3% compared to 2.0%, a difference of 13.3%). Conversely, both communities are more comparable in terms of married-couple households (49.6% compared to 49.8%, a difference of 0.33%), family households (65.1% compared to 65.7%, a difference of 1.0%), and currently married (49.7% compared to 48.9%, a difference of 1.6%).
Family Structure Metric | English | Burmese |
Family Households | Exceptional 65.1% | Exceptional 65.7% |
Family Households with Children | Fair 27.3% | Exceptional 28.5% |
Married-couple Households | Exceptional 49.6% | Exceptional 49.8% |
Average Family Size | Tragic 3.11 | Fair 3.22 |
Single Father Households | Good 2.3% | Exceptional 2.0% |
Single Mother Households | Exceptional 5.8% | Exceptional 5.3% |
Currently Married | Exceptional 49.7% | Exceptional 48.9% |
Divorced or Separated | Tragic 12.6% | Exceptional 10.7% |
Births to Unmarried Women | Average 31.7% | Exceptional 26.4% |
English vs Burmese Vehicle Availability
When considering vehicle availability, the most significant differences between English and Burmese communities in the United States are seen in no vehicles in household (6.5% compared to 9.7%, a difference of 48.7%), 4 or more vehicles in household (7.6% compared to 6.8%, a difference of 11.8%), and 3 or more vehicles in household (23.1% compared to 20.6%, a difference of 11.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.8% compared to 90.4%, a difference of 3.7%), 2 or more vehicles in household (61.9% compared to 57.8%, a difference of 7.1%), and 3 or more vehicles in household (23.1% compared to 20.6%, a difference of 11.6%).
Vehicle Availability Metric | English | Burmese |
No Vehicles Available | Exceptional 6.5% | Excellent 9.7% |
1+ Vehicles Available | Exceptional 93.8% | Excellent 90.4% |
2+ Vehicles Available | Exceptional 61.9% | Exceptional 57.8% |
3+ Vehicles Available | Exceptional 23.1% | Exceptional 20.6% |
4+ Vehicles Available | Exceptional 7.6% | Exceptional 6.8% |
English vs Burmese Education Level
When considering education level, the most significant differences between English and Burmese communities in the United States are seen in no schooling completed (1.4% compared to 1.9%, a difference of 40.7%), professional degree (4.4% compared to 6.1%, a difference of 39.4%), and doctorate degree (1.9% compared to 2.6%, a difference of 37.6%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (93.0% compared to 92.6%, a difference of 0.42%), nursery school (98.7% compared to 98.1%, a difference of 0.61%), and kindergarten (98.7% compared to 98.1%, a difference of 0.62%).
Education Level Metric | English | Burmese |
No Schooling Completed | Exceptional 1.4% | Excellent 1.9% |
Nursery School | Exceptional 98.7% | Excellent 98.1% |
Kindergarten | Exceptional 98.7% | Excellent 98.1% |
1st Grade | Exceptional 98.6% | Excellent 98.0% |
2nd Grade | Exceptional 98.6% | Excellent 98.0% |
3rd Grade | Exceptional 98.6% | Good 97.9% |
4th Grade | Exceptional 98.4% | Excellent 97.7% |
5th Grade | Exceptional 98.3% | Excellent 97.5% |
6th Grade | Exceptional 98.1% | Excellent 97.3% |
7th Grade | Exceptional 97.6% | Excellent 96.3% |
8th Grade | Exceptional 97.3% | Exceptional 96.1% |
9th Grade | Exceptional 96.6% | Exceptional 95.4% |
10th Grade | Exceptional 95.6% | Exceptional 94.5% |
11th Grade | Exceptional 94.4% | Exceptional 93.6% |
12th Grade, No Diploma | Exceptional 93.0% | Exceptional 92.6% |
High School Diploma | Exceptional 91.4% | Exceptional 90.8% |
GED/Equivalency | Exceptional 87.6% | Exceptional 88.3% |
College, Under 1 year | Excellent 66.6% | Exceptional 71.9% |
College, 1 year or more | Good 60.0% | Exceptional 66.7% |
Associate's Degree | Average 46.4% | Exceptional 54.6% |
Bachelor's Degree | Fair 37.4% | Exceptional 46.9% |
Master's Degree | Average 14.8% | Exceptional 19.7% |
Professional Degree | Average 4.4% | Exceptional 6.1% |
Doctorate Degree | Good 1.9% | Exceptional 2.6% |
English vs Burmese Disability
When considering disability, the most significant differences between English and Burmese communities in the United States are seen in disability age under 5 (1.7% compared to 1.1%, a difference of 48.8%), disability age 35 to 64 (12.4% compared to 9.2%, a difference of 34.9%), and hearing disability (3.8% compared to 2.8%, a difference of 34.8%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 16.7%, a difference of 0.56%), disability age over 75 (46.8% compared to 45.9%, a difference of 1.9%), and self-care disability (2.5% compared to 2.3%, a difference of 9.4%).
Disability Metric | English | Burmese |
Disability | Tragic 13.0% | Exceptional 10.4% |
Males | Tragic 12.8% | Exceptional 10.0% |
Females | Tragic 13.1% | Exceptional 10.7% |
Age | Under 5 years | Tragic 1.7% | Exceptional 1.1% |
Age | 5 to 17 years | Tragic 6.2% | Exceptional 4.8% |
Age | 18 to 34 years | Tragic 7.8% | Exceptional 6.0% |
Age | 35 to 64 years | Tragic 12.4% | Exceptional 9.2% |
Age | 65 to 74 years | Fair 23.6% | Exceptional 20.6% |
Age | Over 75 years | Excellent 46.8% | Exceptional 45.9% |
Vision | Tragic 2.3% | Exceptional 1.8% |
Hearing | Tragic 3.8% | Exceptional 2.8% |
Cognitive | Exceptional 16.8% | Exceptional 16.7% |
Ambulatory | Tragic 6.6% | Exceptional 5.3% |
Self-Care | Average 2.5% | Exceptional 2.3% |