Nonimmigrants vs Burmese Community Comparison
COMPARE
Nonimmigrants
Burmese
Social Comparison
Social Comparison
Nonimmigrants
Burmese
3,083
SOCIAL INDEX
28.4/ 100
SOCIAL RATING
234th/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
Burmese Integration in Nonimmigrants Communities
The statistical analysis conducted on geographies consisting of 465,300,034 people shows a weak negative correlation between the proportion of Burmese within Nonimmigrant communities in the United States with a correlation coefficient (R) of -0.288. On average, for every 1% (one percent) increase in Nonimmigrants within a typical geography, there is a decrease of 0.017% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nonimmigrants corresponds to a decrease of 17.2 Burmese.
Nonimmigrants vs Burmese Income
When considering income, the most significant differences between Nonimmigrants and Burmese communities in the United States are seen in median household income ($79,429 compared to $103,145, a difference of 29.9%), householder income ages 25 - 44 years ($88,301 compared to $113,701, a difference of 28.8%), and householder income ages 45 - 64 years ($94,448 compared to $121,444, a difference of 28.6%). Conversely, both communities are more comparable in terms of wage/income gap (27.2% compared to 28.0%, a difference of 3.0%), householder income under 25 years ($49,348 compared to $54,800, a difference of 11.1%), and median female earnings ($37,024 compared to $44,911, a difference of 21.3%).
Income Metric | Nonimmigrants | Burmese |
Per Capita Income | Tragic $40,669 | Exceptional $52,005 |
Median Family Income | Tragic $96,231 | Exceptional $123,369 |
Median Household Income | Tragic $79,429 | Exceptional $103,145 |
Median Earnings | Tragic $44,117 | Exceptional $54,559 |
Median Male Earnings | Tragic $52,170 | Exceptional $65,236 |
Median Female Earnings | Tragic $37,024 | Exceptional $44,911 |
Householder Age | Under 25 years | Tragic $49,348 | Exceptional $54,800 |
Householder Age | 25 - 44 years | Tragic $88,301 | Exceptional $113,701 |
Householder Age | 45 - 64 years | Tragic $94,448 | Exceptional $121,444 |
Householder Age | Over 65 years | Tragic $57,426 | Exceptional $71,139 |
Wage/Income Gap | Tragic 27.2% | Tragic 28.0% |
Nonimmigrants vs Burmese Poverty
When considering poverty, the most significant differences between Nonimmigrants and Burmese communities in the United States are seen in child poverty under the age of 5 (19.7% compared to 13.2%, a difference of 49.2%), receiving food stamps (12.4% compared to 8.6%, a difference of 43.0%), and child poverty among girls under 16 (18.3% compared to 13.0%, a difference of 40.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.2% compared to 11.7%, a difference of 4.6%), seniors poverty over the age of 65 (10.9% compared to 10.1%, a difference of 8.0%), and female poverty among 18-24 year olds (21.5% compared to 18.9%, a difference of 13.8%).
Poverty Metric | Nonimmigrants | Burmese |
Poverty | Tragic 13.3% | Exceptional 10.7% |
Families | Tragic 9.8% | Exceptional 7.3% |
Males | Tragic 12.1% | Exceptional 9.7% |
Females | Tragic 14.5% | Exceptional 11.6% |
Females 18 to 24 years | Tragic 21.5% | Exceptional 18.9% |
Females 25 to 34 years | Tragic 15.6% | Exceptional 11.2% |
Children Under 5 years | Tragic 19.7% | Exceptional 13.2% |
Children Under 16 years | Tragic 17.9% | Exceptional 12.8% |
Boys Under 16 years | Tragic 18.2% | Exceptional 13.0% |
Girls Under 16 years | Tragic 18.3% | Exceptional 13.0% |
Single Males | Tragic 14.6% | Exceptional 11.7% |
Single Females | Tragic 23.6% | Exceptional 18.3% |
Single Fathers | Tragic 18.8% | Exceptional 15.5% |
Single Mothers | Tragic 32.2% | Exceptional 26.2% |
Married Couples | Fair 5.3% | 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 | Poor 12.4% | Exceptional 8.6% |
Nonimmigrants vs Burmese Unemployment
When considering unemployment, the most significant differences between Nonimmigrants and Burmese communities in the United States are seen in unemployment among women with children under 6 years (8.8% compared to 6.5%, a difference of 36.6%), unemployment among women with children ages 6 to 17 years (10.0% compared to 8.0%, a difference of 25.8%), and unemployment among seniors over 75 years (9.8% compared to 8.2%, a difference of 20.2%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 4.8%, a difference of 1.6%), unemployment among seniors over 65 years (5.1% compared to 5.0%, a difference of 2.7%), and unemployment among ages 65 to 74 years (5.4% compared to 5.2%, a difference of 3.5%).
Unemployment Metric | Nonimmigrants | Burmese |
Unemployment | Average 5.3% | Exceptional 4.9% |
Males | Poor 5.4% | Exceptional 4.9% |
Females | Average 5.3% | Exceptional 5.0% |
Youth < 25 | Tragic 11.9% | Excellent 11.3% |
Age | 16 to 19 years | Fair 17.9% | Exceptional 17.0% |
Age | 20 to 24 years | Tragic 10.5% | Excellent 10.2% |
Age | 25 to 29 years | Tragic 7.1% | Exceptional 6.2% |
Age | 30 to 34 years | Tragic 6.1% | Exceptional 5.1% |
Age | 35 to 44 years | Tragic 4.9% | Exceptional 4.3% |
Age | 45 to 54 years | Good 4.5% | Exceptional 4.2% |
Age | 55 to 59 years | Poor 4.9% | Exceptional 4.5% |
Age | 60 to 64 years | Average 4.9% | Excellent 4.8% |
Age | 65 to 74 years | Fair 5.4% | Exceptional 5.2% |
Seniors > 65 | Average 5.1% | Exceptional 5.0% |
Seniors > 75 | Tragic 9.8% | Exceptional 8.2% |
Women w/ Children < 6 | Tragic 8.8% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Tragic 10.0% | Exceptional 8.0% |
Women w/ Children < 18 | Poor 5.7% | Exceptional 4.9% |
Nonimmigrants vs Burmese Labor Participation
When considering labor participation, the most significant differences between Nonimmigrants and Burmese communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 34.5%, a difference of 16.2%), in labor force | age > 16 (63.5% compared to 66.2%, a difference of 4.2%), and in labor force | age 20-24 (76.2% compared to 73.6%, a difference of 3.6%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.7% compared to 85.1%, a difference of 1.7%), in labor force | age 35-44 (83.2% compared to 84.7%, a difference of 1.8%), and in labor force | age 30-34 (83.5% compared to 85.3%, a difference of 2.1%).
Labor Participation Metric | Nonimmigrants | Burmese |
In Labor Force | Age > 16 | Tragic 63.5% | Exceptional 66.2% |
In Labor Force | Age 20-64 | Tragic 78.1% | Exceptional 80.3% |
In Labor Force | Age 16-19 | Exceptional 40.1% | Tragic 34.5% |
In Labor Force | Age 20-24 | Exceptional 76.2% | Tragic 73.6% |
In Labor Force | Age 25-29 | Tragic 83.7% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Tragic 83.5% | Exceptional 85.3% |
In Labor Force | Age 35-44 | Tragic 83.2% | Exceptional 84.7% |
In Labor Force | Age 45-54 | Tragic 81.2% | Exceptional 83.6% |
Nonimmigrants vs Burmese Family Structure
When considering family structure, the most significant differences between Nonimmigrants and Burmese communities in the United States are seen in births to unmarried women (35.5% compared to 26.4%, a difference of 34.8%), single mother households (6.7% compared to 5.3%, a difference of 26.4%), and single father households (2.4% compared to 2.0%, a difference of 20.3%). Conversely, both communities are more comparable in terms of average family size (3.19 compared to 3.22, a difference of 0.92%), family households (64.8% compared to 65.7%, a difference of 1.5%), and family households with children (27.5% compared to 28.5%, a difference of 3.6%).
Family Structure Metric | Nonimmigrants | Burmese |
Family Households | Exceptional 64.8% | Exceptional 65.7% |
Family Households with Children | Good 27.5% | Exceptional 28.5% |
Married-couple Households | Good 46.9% | Exceptional 49.8% |
Average Family Size | Tragic 3.19 | Fair 3.22 |
Single Father Households | Tragic 2.4% | Exceptional 2.0% |
Single Mother Households | Poor 6.7% | Exceptional 5.3% |
Currently Married | Good 46.9% | Exceptional 48.9% |
Divorced or Separated | Tragic 12.8% | Exceptional 10.7% |
Births to Unmarried Women | Tragic 35.5% | Exceptional 26.4% |
Nonimmigrants vs Burmese Vehicle Availability
When considering vehicle availability, the most significant differences between Nonimmigrants and Burmese communities in the United States are seen in no vehicles in household (7.9% compared to 9.7%, a difference of 22.5%), 4 or more vehicles in household (7.2% compared to 6.8%, a difference of 5.8%), and 3 or more vehicles in household (21.8% compared to 20.6%, a difference of 5.4%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (58.8% compared to 57.8%, a difference of 1.7%), 1 or more vehicles in household (92.2% compared to 90.4%, a difference of 2.0%), and 3 or more vehicles in household (21.8% compared to 20.6%, a difference of 5.4%).
Vehicle Availability Metric | Nonimmigrants | Burmese |
No Vehicles Available | Exceptional 7.9% | Excellent 9.7% |
1+ Vehicles Available | Exceptional 92.2% | Excellent 90.4% |
2+ Vehicles Available | Exceptional 58.8% | Exceptional 57.8% |
3+ Vehicles Available | Exceptional 21.8% | Exceptional 20.6% |
4+ Vehicles Available | Exceptional 7.2% | Exceptional 6.8% |
Nonimmigrants vs Burmese Education Level
When considering education level, the most significant differences between Nonimmigrants and Burmese communities in the United States are seen in professional degree (3.9% compared to 6.1%, a difference of 57.6%), doctorate degree (1.7% compared to 2.6%, a difference of 56.7%), and master's degree (13.3% compared to 19.7%, a difference of 47.8%). Conversely, both communities are more comparable in terms of 9th grade (95.3% compared to 95.4%, a difference of 0.14%), 8th grade (96.2% compared to 96.1%, a difference of 0.16%), and 5th grade (97.7% compared to 97.5%, a difference of 0.18%).
Education Level Metric | Nonimmigrants | Burmese |
No Schooling Completed | Exceptional 1.8% | Excellent 1.9% |
Nursery School | Exceptional 98.3% | Excellent 98.1% |
Kindergarten | Exceptional 98.3% | Excellent 98.1% |
1st Grade | Exceptional 98.2% | Excellent 98.0% |
2nd Grade | Exceptional 98.2% | Excellent 98.0% |
3rd Grade | Exceptional 98.1% | Good 97.9% |
4th Grade | Exceptional 97.9% | Excellent 97.7% |
5th Grade | Exceptional 97.7% | Excellent 97.5% |
6th Grade | Exceptional 97.4% | Excellent 97.3% |
7th Grade | Exceptional 96.5% | Excellent 96.3% |
8th Grade | Exceptional 96.2% | Exceptional 96.1% |
9th Grade | Exceptional 95.3% | Exceptional 95.4% |
10th Grade | Excellent 94.1% | Exceptional 94.5% |
11th Grade | Good 92.7% | Exceptional 93.6% |
12th Grade, No Diploma | Fair 91.0% | Exceptional 92.6% |
High School Diploma | Average 89.2% | Exceptional 90.8% |
GED/Equivalency | Fair 85.2% | Exceptional 88.3% |
College, Under 1 year | Tragic 62.9% | Exceptional 71.9% |
College, 1 year or more | Tragic 56.5% | Exceptional 66.7% |
Associate's Degree | Tragic 42.9% | Exceptional 54.6% |
Bachelor's Degree | Tragic 34.2% | Exceptional 46.9% |
Master's Degree | Tragic 13.3% | Exceptional 19.7% |
Professional Degree | Tragic 3.9% | Exceptional 6.1% |
Doctorate Degree | Tragic 1.7% | Exceptional 2.6% |
Nonimmigrants vs Burmese Disability
When considering disability, the most significant differences between Nonimmigrants and Burmese communities in the United States are seen in disability age under 5 (1.6% compared to 1.1%, a difference of 43.1%), disability age 35 to 64 (13.0% compared to 9.2%, a difference of 41.6%), and vision disability (2.5% compared to 1.8%, a difference of 34.1%). Conversely, both communities are more comparable in terms of cognitive disability (17.4% compared to 16.7%, a difference of 4.4%), disability age over 75 (48.0% compared to 45.9%, a difference of 4.7%), and self-care disability (2.6% compared to 2.3%, a difference of 16.9%).
Disability Metric | Nonimmigrants | Burmese |
Disability | Tragic 13.2% | Exceptional 10.4% |
Males | Tragic 12.9% | Exceptional 10.0% |
Females | Tragic 13.4% | Exceptional 10.7% |
Age | Under 5 years | Tragic 1.6% | Exceptional 1.1% |
Age | 5 to 17 years | Tragic 6.3% | Exceptional 4.8% |
Age | 18 to 34 years | Tragic 7.6% | Exceptional 6.0% |
Age | 35 to 64 years | Tragic 13.0% | Exceptional 9.2% |
Age | 65 to 74 years | Tragic 25.0% | Exceptional 20.6% |
Age | Over 75 years | Tragic 48.0% | Exceptional 45.9% |
Vision | Tragic 2.5% | Exceptional 1.8% |
Hearing | Tragic 3.6% | Exceptional 2.8% |
Cognitive | Fair 17.4% | Exceptional 16.7% |
Ambulatory | Tragic 6.9% | Exceptional 5.3% |
Self-Care | Tragic 2.6% | Exceptional 2.3% |