South American vs Burmese Community Comparison
COMPARE
South American
Burmese
Social Comparison
Social Comparison
South Americans
Burmese
5,097
SOCIAL INDEX
48.5/ 100
SOCIAL RATING
186th/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
Burmese Integration in South American Communities
The statistical analysis conducted on geographies consisting of 435,781,076 people shows a substantial negative correlation between the proportion of Burmese within South American communities in the United States with a correlation coefficient (R) of -0.510. On average, for every 1% (one percent) increase in South Americans within a typical geography, there is a decrease of 0.021% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 South Americans corresponds to a decrease of 20.8 Burmese.
South American vs Burmese Income
When considering income, the most significant differences between South American and Burmese communities in the United States are seen in median family income ($101,856 compared to $123,369, a difference of 21.1%), householder income ages 45 - 64 years ($100,837 compared to $121,444, a difference of 20.4%), and median male earnings ($54,492 compared to $65,236, a difference of 19.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,939 compared to $54,800, a difference of 1.6%), wage/income gap (25.0% compared to 28.0%, a difference of 11.9%), and median female earnings ($39,698 compared to $44,911, a difference of 13.1%).
Income Metric | South American | Burmese |
Per Capita Income | Good $44,114 | Exceptional $52,005 |
Median Family Income | Fair $101,856 | Exceptional $123,369 |
Median Household Income | Good $86,824 | Exceptional $103,145 |
Median Earnings | Good $46,804 | Exceptional $54,559 |
Median Male Earnings | Average $54,492 | Exceptional $65,236 |
Median Female Earnings | Average $39,698 | Exceptional $44,911 |
Householder Age | Under 25 years | Exceptional $53,939 | Exceptional $54,800 |
Householder Age | 25 - 44 years | Good $95,362 | Exceptional $113,701 |
Householder Age | 45 - 64 years | Average $100,837 | Exceptional $121,444 |
Householder Age | Over 65 years | Fair $59,854 | Exceptional $71,139 |
Wage/Income Gap | Excellent 25.0% | Tragic 28.0% |
South American vs Burmese Poverty
When considering poverty, the most significant differences between South American and Burmese communities in the United States are seen in receiving food stamps (12.4% compared to 8.6%, a difference of 43.6%), married-couple family poverty (5.6% compared to 4.3%, a difference of 30.7%), and family poverty (9.3% compared to 7.3%, a difference of 26.8%). Conversely, both communities are more comparable in terms of single male poverty (12.1% compared to 11.7%, a difference of 3.2%), single father poverty (16.0% compared to 15.5%, a difference of 3.3%), and female poverty among 18-24 year olds (18.0% compared to 18.9%, a difference of 5.3%).
Poverty Metric | South American | Burmese |
Poverty | Average 12.3% | Exceptional 10.7% |
Families | Fair 9.3% | Exceptional 7.3% |
Males | Average 11.1% | Exceptional 9.7% |
Females | Average 13.5% | Exceptional 11.6% |
Females 18 to 24 years | Exceptional 18.0% | Exceptional 18.9% |
Females 25 to 34 years | Good 13.2% | Exceptional 11.2% |
Children Under 5 years | Good 16.7% | Exceptional 13.2% |
Children Under 16 years | Average 16.0% | Exceptional 12.8% |
Boys Under 16 years | Average 16.3% | Exceptional 13.0% |
Girls Under 16 years | Good 16.1% | Exceptional 13.0% |
Single Males | Exceptional 12.1% | Exceptional 11.7% |
Single Females | Exceptional 20.0% | Exceptional 18.3% |
Single Fathers | Excellent 16.0% | Exceptional 15.5% |
Single Mothers | Exceptional 28.4% | Exceptional 26.2% |
Married Couples | Tragic 5.6% | Exceptional 4.3% |
Seniors Over 65 years | Tragic 12.5% | Exceptional 10.1% |
Seniors Over 75 years | Tragic 14.1% | Excellent 11.7% |
Receiving Food Stamps | Poor 12.4% | Exceptional 8.6% |
South American vs Burmese Unemployment
When considering unemployment, the most significant differences between South American and Burmese communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.5% compared to 8.0%, a difference of 19.2%), unemployment among women with children under 6 years (7.5% compared to 6.5%, a difference of 15.9%), and unemployment among women with children under 18 years (5.7% compared to 4.9%, a difference of 14.3%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.4% compared to 10.2%, a difference of 2.7%), unemployment among seniors over 75 years (8.5% compared to 8.2%, a difference of 4.1%), and unemployment among youth under 25 years (11.9% compared to 11.3%, a difference of 4.8%).
Unemployment Metric | South American | Burmese |
Unemployment | Fair 5.3% | Exceptional 4.9% |
Males | Good 5.3% | Exceptional 4.9% |
Females | Tragic 5.4% | Exceptional 5.0% |
Youth < 25 | Tragic 11.9% | Excellent 11.3% |
Age | 16 to 19 years | Tragic 18.3% | Exceptional 17.0% |
Age | 20 to 24 years | Fair 10.4% | 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 | Good 4.6% | Exceptional 4.3% |
Age | 45 to 54 years | Fair 4.6% | Exceptional 4.2% |
Age | 55 to 59 years | Average 4.8% | Exceptional 4.5% |
Age | 60 to 64 years | Tragic 5.1% | Excellent 4.8% |
Age | 65 to 74 years | Tragic 5.6% | Exceptional 5.2% |
Seniors > 65 | Tragic 5.4% | Exceptional 5.0% |
Seniors > 75 | Excellent 8.5% | Exceptional 8.2% |
Women w/ Children < 6 | Good 7.5% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Tragic 9.5% | Exceptional 8.0% |
Women w/ Children < 18 | Poor 5.7% | Exceptional 4.9% |
South American vs Burmese Labor Participation
When considering labor participation, the most significant differences between South American and Burmese communities in the United States are seen in in labor force | age 16-19 (33.6% compared to 34.5%, a difference of 2.7%), in labor force | age 30-34 (84.7% compared to 85.3%, a difference of 0.62%), and in labor force | age 25-29 (84.7% compared to 85.1%, a difference of 0.54%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (73.5% compared to 73.6%, a difference of 0.090%), in labor force | age 35-44 (84.8% compared to 84.7%, a difference of 0.090%), and in labor force | age > 16 (66.0% compared to 66.2%, a difference of 0.22%).
Labor Participation Metric | South American | Burmese |
In Labor Force | Age > 16 | Exceptional 66.0% | Exceptional 66.2% |
In Labor Force | Age 20-64 | Exceptional 80.1% | Exceptional 80.3% |
In Labor Force | Age 16-19 | Tragic 33.6% | Tragic 34.5% |
In Labor Force | Age 20-24 | Tragic 73.5% | Tragic 73.6% |
In Labor Force | Age 25-29 | Average 84.7% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Average 84.7% | 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% |
South American vs Burmese Family Structure
When considering family structure, the most significant differences between South American and Burmese communities in the United States are seen in single mother households (6.6% compared to 5.3%, a difference of 24.3%), births to unmarried women (31.8% compared to 26.4%, a difference of 20.5%), and single father households (2.3% compared to 2.0%, a difference of 13.7%). Conversely, both communities are more comparable in terms of family households with children (28.4% compared to 28.5%, a difference of 0.35%), family households (66.0% compared to 65.7%, a difference of 0.45%), and average family size (3.27 compared to 3.22, a difference of 1.7%).
Family Structure Metric | South American | Burmese |
Family Households | Exceptional 66.0% | Exceptional 65.7% |
Family Households with Children | Exceptional 28.4% | Exceptional 28.5% |
Married-couple Households | Average 46.6% | Exceptional 49.8% |
Average Family Size | Exceptional 3.27 | Fair 3.22 |
Single Father Households | Good 2.3% | Exceptional 2.0% |
Single Mother Households | Poor 6.6% | Exceptional 5.3% |
Currently Married | Fair 46.1% | Exceptional 48.9% |
Divorced or Separated | Fair 12.2% | Exceptional 10.7% |
Births to Unmarried Women | Average 31.8% | Exceptional 26.4% |
South American vs Burmese Vehicle Availability
When considering vehicle availability, the most significant differences between South American and Burmese communities in the United States are seen in 4 or more vehicles in household (5.6% compared to 6.8%, a difference of 22.5%), 3 or more vehicles in household (17.6% compared to 20.6%, a difference of 17.1%), and 2 or more vehicles in household (51.9% compared to 57.8%, a difference of 11.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.5% compared to 90.4%, a difference of 0.98%), no vehicles in household (10.5% compared to 9.7%, a difference of 8.7%), and 2 or more vehicles in household (51.9% compared to 57.8%, a difference of 11.3%).
Vehicle Availability Metric | South American | Burmese |
No Vehicles Available | Average 10.5% | Excellent 9.7% |
1+ Vehicles Available | Fair 89.5% | Excellent 90.4% |
2+ Vehicles Available | Tragic 51.9% | Exceptional 57.8% |
3+ Vehicles Available | Tragic 17.6% | Exceptional 20.6% |
4+ Vehicles Available | Tragic 5.6% | Exceptional 6.8% |
South American vs Burmese Education Level
When considering education level, the most significant differences between South American and Burmese communities in the United States are seen in doctorate degree (1.8% compared to 2.6%, a difference of 48.0%), professional degree (4.7% compared to 6.1%, a difference of 30.9%), and master's degree (15.6% compared to 19.7%, a difference of 26.1%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.1%, a difference of 0.46%), kindergarten (97.6% compared to 98.1%, a difference of 0.47%), and 1st grade (97.6% compared to 98.0%, a difference of 0.47%).
Education Level Metric | South American | Burmese |
No Schooling Completed | Tragic 2.4% | Excellent 1.9% |
Nursery School | Tragic 97.6% | Excellent 98.1% |
Kindergarten | Tragic 97.6% | Excellent 98.1% |
1st Grade | Tragic 97.6% | Excellent 98.0% |
2nd Grade | Tragic 97.5% | Excellent 98.0% |
3rd Grade | Tragic 97.4% | Good 97.9% |
4th Grade | Tragic 97.1% | Excellent 97.7% |
5th Grade | Tragic 96.8% | Excellent 97.5% |
6th Grade | Tragic 96.4% | Excellent 97.3% |
7th Grade | Tragic 95.2% | Excellent 96.3% |
8th Grade | Tragic 94.9% | Exceptional 96.1% |
9th Grade | Tragic 93.9% | Exceptional 95.4% |
10th Grade | Tragic 92.8% | Exceptional 94.5% |
11th Grade | Tragic 91.6% | Exceptional 93.6% |
12th Grade, No Diploma | Tragic 90.3% | Exceptional 92.6% |
High School Diploma | Tragic 87.9% | Exceptional 90.8% |
GED/Equivalency | Poor 84.8% | Exceptional 88.3% |
College, Under 1 year | Poor 64.2% | Exceptional 71.9% |
College, 1 year or more | Fair 59.0% | Exceptional 66.7% |
Associate's Degree | Good 47.1% | Exceptional 54.6% |
Bachelor's Degree | Good 38.9% | Exceptional 46.9% |
Master's Degree | Excellent 15.6% | Exceptional 19.7% |
Professional Degree | Excellent 4.7% | Exceptional 6.1% |
Doctorate Degree | Fair 1.8% | Exceptional 2.6% |
South American vs Burmese Disability
When considering disability, the most significant differences between South American and Burmese communities in the United States are seen in vision disability (2.1% compared to 1.8%, a difference of 14.2%), disability age 5 to 17 (5.4% compared to 4.8%, a difference of 12.1%), and ambulatory disability (5.7% compared to 5.3%, a difference of 8.7%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.7%, a difference of 0.43%), disability age over 75 (46.8% compared to 45.9%, a difference of 1.8%), and disability age 18 to 34 (5.9% compared to 6.0%, a difference of 2.3%).
Disability Metric | South American | Burmese |
Disability | Exceptional 10.9% | Exceptional 10.4% |
Males | Exceptional 10.3% | Exceptional 10.0% |
Females | Exceptional 11.4% | Exceptional 10.7% |
Age | Under 5 years | Good 1.2% | Exceptional 1.1% |
Age | 5 to 17 years | Exceptional 5.4% | Exceptional 4.8% |
Age | 18 to 34 years | Exceptional 5.9% | Exceptional 6.0% |
Age | 35 to 64 years | Exceptional 9.9% | Exceptional 9.2% |
Age | 65 to 74 years | Exceptional 22.2% | Exceptional 20.6% |
Age | Over 75 years | Excellent 46.8% | Exceptional 45.9% |
Vision | Excellent 2.1% | Exceptional 1.8% |
Hearing | Exceptional 2.7% | Exceptional 2.8% |
Cognitive | Exceptional 16.7% | Exceptional 16.7% |
Ambulatory | Exceptional 5.7% | Exceptional 5.3% |
Self-Care | Exceptional 2.4% | Exceptional 2.3% |