African vs Burmese Community Comparison
COMPARE
African
Burmese
Social Comparison
Social Comparison
Africans
Burmese
624
SOCIAL INDEX
3.8/ 100
SOCIAL RATING
341st/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
Burmese Integration in African Communities
The statistical analysis conducted on geographies consisting of 411,873,820 people shows a weak negative correlation between the proportion of Burmese within African communities in the United States with a correlation coefficient (R) of -0.237. On average, for every 1% (one percent) increase in Africans within a typical geography, there is a decrease of 0.012% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Africans corresponds to a decrease of 11.5 Burmese.
African vs Burmese Income
When considering income, the most significant differences between African and Burmese communities in the United States are seen in householder income ages 25 - 44 years ($78,986 compared to $113,701, a difference of 44.0%), householder income ages 45 - 64 years ($84,925 compared to $121,444, a difference of 43.0%), and median household income ($72,650 compared to $103,145, a difference of 42.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($46,838 compared to $54,800, a difference of 17.0%), wage/income gap (22.9% compared to 28.0%, a difference of 22.1%), and median female earnings ($36,530 compared to $44,911, a difference of 22.9%).
Income Metric | African | Burmese |
Per Capita Income | Tragic $37,785 | Exceptional $52,005 |
Median Family Income | Tragic $87,820 | Exceptional $123,369 |
Median Household Income | Tragic $72,650 | Exceptional $103,145 |
Median Earnings | Tragic $41,955 | Exceptional $54,559 |
Median Male Earnings | Tragic $47,994 | Exceptional $65,236 |
Median Female Earnings | Tragic $36,530 | Exceptional $44,911 |
Householder Age | Under 25 years | Tragic $46,838 | Exceptional $54,800 |
Householder Age | 25 - 44 years | Tragic $78,986 | Exceptional $113,701 |
Householder Age | 45 - 64 years | Tragic $84,925 | Exceptional $121,444 |
Householder Age | Over 65 years | Tragic $53,711 | Exceptional $71,139 |
Wage/Income Gap | Exceptional 22.9% | Tragic 28.0% |
African vs Burmese Poverty
When considering poverty, the most significant differences between African and Burmese communities in the United States are seen in receiving food stamps (15.1% compared to 8.6%, a difference of 74.9%), child poverty under the age of 5 (22.8% compared to 13.2%, a difference of 72.5%), and child poverty under the age of 16 (21.7% compared to 12.8%, a difference of 69.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (13.6% compared to 11.7%, a difference of 16.5%), single father poverty (18.3% compared to 15.5%, a difference of 18.4%), and female poverty among 18-24 year olds (22.8% compared to 18.9%, a difference of 20.8%).
Poverty Metric | African | Burmese |
Poverty | Tragic 15.6% | Exceptional 10.7% |
Families | Tragic 11.8% | Exceptional 7.3% |
Males | Tragic 14.2% | Exceptional 9.7% |
Females | Tragic 16.9% | Exceptional 11.6% |
Females 18 to 24 years | Tragic 22.8% | Exceptional 18.9% |
Females 25 to 34 years | Tragic 17.0% | Exceptional 11.2% |
Children Under 5 years | Tragic 22.8% | Exceptional 13.2% |
Children Under 16 years | Tragic 21.7% | Exceptional 12.8% |
Boys Under 16 years | Tragic 21.7% | Exceptional 13.0% |
Girls Under 16 years | Tragic 21.9% | Exceptional 13.0% |
Single Males | Tragic 14.7% | Exceptional 11.7% |
Single Females | Tragic 24.8% | Exceptional 18.3% |
Single Fathers | Tragic 18.3% | Exceptional 15.5% |
Single Mothers | Tragic 33.3% | Exceptional 26.2% |
Married Couples | Tragic 6.0% | Exceptional 4.3% |
Seniors Over 65 years | Tragic 12.6% | Exceptional 10.1% |
Seniors Over 75 years | Tragic 13.6% | Excellent 11.7% |
Receiving Food Stamps | Tragic 15.1% | Exceptional 8.6% |
African vs Burmese Unemployment
When considering unemployment, the most significant differences between African and Burmese communities in the United States are seen in unemployment among women with children under 6 years (9.2% compared to 6.5%, a difference of 41.4%), unemployment among women with children under 18 years (6.5% compared to 4.9%, a difference of 32.1%), and unemployment among women with children ages 6 to 17 years (10.4% compared to 8.0%, a difference of 30.7%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 4.8%, a difference of 3.9%), unemployment among ages 65 to 74 years (5.5% compared to 5.2%, a difference of 4.5%), and unemployment among seniors over 65 years (5.2% compared to 5.0%, a difference of 4.6%).
Unemployment Metric | African | Burmese |
Unemployment | Tragic 6.1% | Exceptional 4.9% |
Males | Tragic 6.3% | Exceptional 4.9% |
Females | Tragic 5.9% | Exceptional 5.0% |
Youth < 25 | Tragic 13.2% | Excellent 11.3% |
Age | 16 to 19 years | Tragic 19.5% | Exceptional 17.0% |
Age | 20 to 24 years | Tragic 11.5% | Excellent 10.2% |
Age | 25 to 29 years | Tragic 7.6% | Exceptional 6.2% |
Age | 30 to 34 years | Tragic 6.4% | Exceptional 5.1% |
Age | 35 to 44 years | Tragic 5.6% | Exceptional 4.3% |
Age | 45 to 54 years | Tragic 5.1% | Exceptional 4.2% |
Age | 55 to 59 years | Tragic 5.1% | Exceptional 4.5% |
Age | 60 to 64 years | Tragic 5.0% | Excellent 4.8% |
Age | 65 to 74 years | Poor 5.5% | Exceptional 5.2% |
Seniors > 65 | Poor 5.2% | Exceptional 5.0% |
Seniors > 75 | Tragic 9.1% | Exceptional 8.2% |
Women w/ Children < 6 | Tragic 9.2% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Tragic 10.4% | Exceptional 8.0% |
Women w/ Children < 18 | Tragic 6.5% | Exceptional 4.9% |
African vs Burmese Labor Participation
When considering labor participation, the most significant differences between African and Burmese communities in the United States are seen in in labor force | age 16-19 (38.0% compared to 34.5%, a difference of 10.1%), in labor force | age 45-54 (80.5% compared to 83.6%, a difference of 3.9%), and in labor force | age 20-64 (77.9% compared to 80.3%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (75.0% compared to 73.6%, a difference of 1.9%), in labor force | age 35-44 (82.9% compared to 84.7%, a difference of 2.2%), and in labor force | age 30-34 (83.4% compared to 85.3%, a difference of 2.3%).
Labor Participation Metric | African | Burmese |
In Labor Force | Age > 16 | Tragic 64.6% | Exceptional 66.2% |
In Labor Force | Age 20-64 | Tragic 77.9% | Exceptional 80.3% |
In Labor Force | Age 16-19 | Exceptional 38.0% | Tragic 34.5% |
In Labor Force | Age 20-24 | Average 75.0% | Tragic 73.6% |
In Labor Force | Age 25-29 | Tragic 83.2% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Tragic 83.4% | Exceptional 85.3% |
In Labor Force | Age 35-44 | Tragic 82.9% | Exceptional 84.7% |
In Labor Force | Age 45-54 | Tragic 80.5% | Exceptional 83.6% |
African vs Burmese Family Structure
When considering family structure, the most significant differences between African and Burmese communities in the United States are seen in single mother households (8.2% compared to 5.3%, a difference of 54.6%), births to unmarried women (39.7% compared to 26.4%, a difference of 50.6%), and divorced or separated (13.2% compared to 10.7%, a difference of 23.5%). Conversely, both communities are more comparable in terms of average family size (3.25 compared to 3.22, a difference of 1.1%), family households with children (27.2% compared to 28.5%, a difference of 4.9%), and family households (62.1% compared to 65.7%, a difference of 5.8%).
Family Structure Metric | African | Burmese |
Family Households | Tragic 62.1% | Exceptional 65.7% |
Family Households with Children | Poor 27.2% | Exceptional 28.5% |
Married-couple Households | Tragic 40.9% | Exceptional 49.8% |
Average Family Size | Excellent 3.25 | Fair 3.22 |
Single Father Households | Tragic 2.5% | Exceptional 2.0% |
Single Mother Households | Tragic 8.2% | Exceptional 5.3% |
Currently Married | Tragic 41.8% | Exceptional 48.9% |
Divorced or Separated | Tragic 13.2% | Exceptional 10.7% |
Births to Unmarried Women | Tragic 39.7% | Exceptional 26.4% |
African vs Burmese Vehicle Availability
When considering vehicle availability, the most significant differences between African and Burmese communities in the United States are seen in no vehicles in household (12.3% compared to 9.7%, a difference of 27.3%), 4 or more vehicles in household (5.8% compared to 6.8%, a difference of 16.8%), and 3 or more vehicles in household (18.2% compared to 20.6%, a difference of 13.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.8% compared to 90.4%, a difference of 3.0%), 2 or more vehicles in household (51.8% compared to 57.8%, a difference of 11.5%), and 3 or more vehicles in household (18.2% compared to 20.6%, a difference of 13.6%).
Vehicle Availability Metric | African | Burmese |
No Vehicles Available | Tragic 12.3% | Excellent 9.7% |
1+ Vehicles Available | Tragic 87.8% | Excellent 90.4% |
2+ Vehicles Available | Tragic 51.8% | Exceptional 57.8% |
3+ Vehicles Available | Tragic 18.2% | Exceptional 20.6% |
4+ Vehicles Available | Tragic 5.8% | Exceptional 6.8% |
African vs Burmese Education Level
When considering education level, the most significant differences between African and Burmese communities in the United States are seen in doctorate degree (1.6% compared to 2.6%, a difference of 68.0%), professional degree (3.7% compared to 6.1%, a difference of 67.3%), and master's degree (12.9% compared to 19.7%, a difference of 52.9%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 98.1%, a difference of 0.24%), kindergarten (97.8% compared to 98.1%, a difference of 0.24%), and 1st grade (97.8% compared to 98.0%, a difference of 0.24%).
Education Level Metric | African | Burmese |
No Schooling Completed | Fair 2.2% | Excellent 1.9% |
Nursery School | Poor 97.9% | Excellent 98.1% |
Kindergarten | Poor 97.8% | Excellent 98.1% |
1st Grade | Poor 97.8% | Excellent 98.0% |
2nd Grade | Poor 97.7% | Excellent 98.0% |
3rd Grade | Poor 97.6% | Good 97.9% |
4th Grade | Poor 97.4% | Excellent 97.7% |
5th Grade | Poor 97.2% | Excellent 97.5% |
6th Grade | Poor 96.9% | Excellent 97.3% |
7th Grade | Poor 95.8% | Excellent 96.3% |
8th Grade | Poor 95.4% | Exceptional 96.1% |
9th Grade | Tragic 94.5% | Exceptional 95.4% |
10th Grade | Tragic 93.1% | Exceptional 94.5% |
11th Grade | Tragic 91.5% | Exceptional 93.6% |
12th Grade, No Diploma | Tragic 89.6% | Exceptional 92.6% |
High School Diploma | Tragic 87.5% | Exceptional 90.8% |
GED/Equivalency | Tragic 83.4% | Exceptional 88.3% |
College, Under 1 year | Tragic 61.1% | Exceptional 71.9% |
College, 1 year or more | Tragic 55.0% | Exceptional 66.7% |
Associate's Degree | Tragic 41.1% | Exceptional 54.6% |
Bachelor's Degree | Tragic 32.9% | Exceptional 46.9% |
Master's Degree | Tragic 12.9% | Exceptional 19.7% |
Professional Degree | Tragic 3.7% | Exceptional 6.1% |
Doctorate Degree | Tragic 1.6% | Exceptional 2.6% |
African vs Burmese Disability
When considering disability, the most significant differences between African and Burmese communities in the United States are seen in disability age 35 to 64 (13.6% compared to 9.2%, a difference of 47.4%), vision disability (2.5% compared to 1.8%, a difference of 37.3%), and disability age 5 to 17 (6.5% compared to 4.8%, a difference of 35.9%). Conversely, both communities are more comparable in terms of disability age over 75 (48.9% compared to 45.9%, a difference of 6.4%), hearing disability (3.0% compared to 2.8%, a difference of 8.8%), and cognitive disability (18.6% compared to 16.7%, a difference of 11.9%).
Disability Metric | African | Burmese |
Disability | Tragic 13.0% | Exceptional 10.4% |
Males | Tragic 12.6% | Exceptional 10.0% |
Females | Tragic 13.4% | Exceptional 10.7% |
Age | Under 5 years | Tragic 1.4% | Exceptional 1.1% |
Age | 5 to 17 years | Tragic 6.5% | Exceptional 4.8% |
Age | 18 to 34 years | Tragic 7.4% | Exceptional 6.0% |
Age | 35 to 64 years | Tragic 13.6% | Exceptional 9.2% |
Age | 65 to 74 years | Tragic 26.2% | Exceptional 20.6% |
Age | Over 75 years | Tragic 48.9% | Exceptional 45.9% |
Vision | Tragic 2.5% | Exceptional 1.8% |
Hearing | Fair 3.0% | Exceptional 2.8% |
Cognitive | Tragic 18.6% | Exceptional 16.7% |
Ambulatory | Tragic 7.0% | Exceptional 5.3% |
Self-Care | Tragic 2.7% | Exceptional 2.3% |