Nepalese vs Burmese Community Comparison
COMPARE
Nepalese
Burmese
Social Comparison
Social Comparison
Nepalese
Burmese
1,939
SOCIAL INDEX
16.9/ 100
SOCIAL RATING
281st/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
Burmese Integration in Nepalese Communities
The statistical analysis conducted on geographies consisting of 24,190,384 people shows a substantial negative correlation between the proportion of Burmese within Nepalese communities in the United States with a correlation coefficient (R) of -0.561. On average, for every 1% (one percent) increase in Nepalese within a typical geography, there is a decrease of 0.330% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nepalese corresponds to a decrease of 330.4 Burmese.
Nepalese vs Burmese Income
When considering income, the most significant differences between Nepalese and Burmese communities in the United States are seen in per capita income ($38,442 compared to $52,005, a difference of 35.3%), median male earnings ($49,458 compared to $65,236, a difference of 31.9%), and median family income ($94,153 compared to $123,369, a difference of 31.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,472 compared to $54,800, a difference of 0.60%), median female earnings ($38,603 compared to $44,911, a difference of 16.3%), and householder income over 65 years ($58,761 compared to $71,139, a difference of 21.1%).
Income Metric | Nepalese | Burmese |
Per Capita Income | Tragic $38,442 | Exceptional $52,005 |
Median Family Income | Tragic $94,153 | Exceptional $123,369 |
Median Household Income | Poor $82,410 | Exceptional $103,145 |
Median Earnings | Tragic $43,860 | Exceptional $54,559 |
Median Male Earnings | Tragic $49,458 | Exceptional $65,236 |
Median Female Earnings | Tragic $38,603 | Exceptional $44,911 |
Householder Age | Under 25 years | Exceptional $54,472 | Exceptional $54,800 |
Householder Age | 25 - 44 years | Poor $91,498 | Exceptional $113,701 |
Householder Age | 45 - 64 years | Tragic $93,355 | Exceptional $121,444 |
Householder Age | Over 65 years | Tragic $58,761 | Exceptional $71,139 |
Wage/Income Gap | Exceptional 22.2% | Tragic 28.0% |
Nepalese vs Burmese Poverty
When considering poverty, the most significant differences between Nepalese and Burmese communities in the United States are seen in receiving food stamps (14.6% compared to 8.6%, a difference of 68.8%), married-couple family poverty (6.5% compared to 4.3%, a difference of 51.2%), and child poverty among girls under 16 (18.6% compared to 13.0%, a difference of 43.0%). Conversely, both communities are more comparable in terms of single male poverty (11.6% compared to 11.7%, a difference of 1.2%), female poverty among 18-24 year olds (20.2% compared to 18.9%, a difference of 6.9%), and single father poverty (14.4% compared to 15.5%, a difference of 7.2%).
Poverty Metric | Nepalese | Burmese |
Poverty | Tragic 14.0% | Exceptional 10.7% |
Families | Tragic 10.4% | Exceptional 7.3% |
Males | Tragic 12.8% | Exceptional 9.7% |
Females | Tragic 15.2% | Exceptional 11.6% |
Females 18 to 24 years | Fair 20.2% | Exceptional 18.9% |
Females 25 to 34 years | Tragic 15.2% | Exceptional 11.2% |
Children Under 5 years | Tragic 18.3% | Exceptional 13.2% |
Children Under 16 years | Tragic 18.2% | Exceptional 12.8% |
Boys Under 16 years | Tragic 18.0% | Exceptional 13.0% |
Girls Under 16 years | Tragic 18.6% | Exceptional 13.0% |
Single Males | Exceptional 11.6% | Exceptional 11.7% |
Single Females | Tragic 21.7% | Exceptional 18.3% |
Single Fathers | Exceptional 14.4% | Exceptional 15.5% |
Single Mothers | Fair 29.3% | Exceptional 26.2% |
Married Couples | Tragic 6.5% | Exceptional 4.3% |
Seniors Over 65 years | Tragic 11.5% | Exceptional 10.1% |
Seniors Over 75 years | Poor 12.6% | Excellent 11.7% |
Receiving Food Stamps | Tragic 14.6% | Exceptional 8.6% |
Nepalese vs Burmese Unemployment
When considering unemployment, the most significant differences between Nepalese and Burmese communities in the United States are seen in male unemployment (6.4% compared to 4.9%, a difference of 31.1%), unemployment among ages 35 to 44 years (5.6% compared to 4.3%, a difference of 29.6%), and unemployment (6.2% compared to 4.9%, a difference of 25.3%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.0%, a difference of 2.3%), unemployment among women with children ages 6 to 17 years (7.7% compared to 8.0%, a difference of 3.1%), and unemployment among ages 65 to 74 years (5.0% compared to 5.2%, a difference of 3.5%).
Unemployment Metric | Nepalese | Burmese |
Unemployment | Tragic 6.2% | Exceptional 4.9% |
Males | Tragic 6.4% | Exceptional 4.9% |
Females | Tragic 5.9% | Exceptional 5.0% |
Youth < 25 | Tragic 12.5% | Excellent 11.3% |
Age | 16 to 19 years | Tragic 18.2% | Exceptional 17.0% |
Age | 20 to 24 years | Tragic 10.6% | Excellent 10.2% |
Age | 25 to 29 years | Tragic 7.5% | Exceptional 6.2% |
Age | 30 to 34 years | Tragic 5.9% | Exceptional 5.1% |
Age | 35 to 44 years | Tragic 5.6% | Exceptional 4.3% |
Age | 45 to 54 years | Tragic 5.0% | Exceptional 4.2% |
Age | 55 to 59 years | Tragic 5.6% | Exceptional 4.5% |
Age | 60 to 64 years | Tragic 5.2% | Excellent 4.8% |
Age | 65 to 74 years | Exceptional 5.0% | Exceptional 5.2% |
Seniors > 65 | Good 5.1% | Exceptional 5.0% |
Seniors > 75 | Tragic 10.1% | Exceptional 8.2% |
Women w/ Children < 6 | Average 7.7% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Exceptional 8.0% |
Women w/ Children < 18 | Tragic 6.0% | Exceptional 4.9% |
Nepalese vs Burmese Labor Participation
When considering labor participation, the most significant differences between Nepalese and Burmese communities in the United States are seen in in labor force | age 45-54 (80.5% compared to 83.6%, a difference of 3.8%), in labor force | age > 16 (63.8% compared to 66.2%, a difference of 3.7%), and in labor force | age 20-64 (77.5% compared to 80.3%, a difference of 3.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (74.5% compared to 73.6%, a difference of 1.2%), in labor force | age 25-29 (82.9% compared to 85.1%, a difference of 2.7%), and in labor force | age 35-44 (82.4% compared to 84.7%, a difference of 2.8%).
Labor Participation Metric | Nepalese | Burmese |
In Labor Force | Age > 16 | Tragic 63.8% | Exceptional 66.2% |
In Labor Force | Age 20-64 | Tragic 77.5% | Exceptional 80.3% |
In Labor Force | Age 16-19 | Tragic 33.5% | Tragic 34.5% |
In Labor Force | Age 20-24 | Poor 74.5% | Tragic 73.6% |
In Labor Force | Age 25-29 | Tragic 82.9% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Tragic 82.7% | Exceptional 85.3% |
In Labor Force | Age 35-44 | Tragic 82.4% | Exceptional 84.7% |
In Labor Force | Age 45-54 | Tragic 80.5% | Exceptional 83.6% |
Nepalese vs Burmese Family Structure
When considering family structure, the most significant differences between Nepalese and Burmese communities in the United States are seen in single father households (3.1% compared to 2.0%, a difference of 53.4%), single mother households (7.5% compared to 5.3%, a difference of 41.0%), and births to unmarried women (33.5% compared to 26.4%, a difference of 27.2%). Conversely, both communities are more comparable in terms of family households (67.2% compared to 65.7%, a difference of 2.2%), average family size (3.42 compared to 3.22, a difference of 6.4%), and family households with children (30.5% compared to 28.5%, a difference of 7.1%).
Family Structure Metric | Nepalese | Burmese |
Family Households | Exceptional 67.2% | Exceptional 65.7% |
Family Households with Children | Exceptional 30.5% | Exceptional 28.5% |
Married-couple Households | Poor 45.6% | Exceptional 49.8% |
Average Family Size | Exceptional 3.42 | Fair 3.22 |
Single Father Households | Tragic 3.1% | Exceptional 2.0% |
Single Mother Households | Tragic 7.5% | Exceptional 5.3% |
Currently Married | Tragic 44.7% | Exceptional 48.9% |
Divorced or Separated | Tragic 12.5% | Exceptional 10.7% |
Births to Unmarried Women | Tragic 33.5% | Exceptional 26.4% |
Nepalese vs Burmese Vehicle Availability
When considering vehicle availability, the most significant differences between Nepalese and Burmese communities in the United States are seen in no vehicles in household (7.4% compared to 9.7%, a difference of 30.9%), 4 or more vehicles in household (8.7% compared to 6.8%, a difference of 28.2%), and 3 or more vehicles in household (24.9% compared to 20.6%, a difference of 20.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.6% compared to 90.4%, a difference of 2.4%), 2 or more vehicles in household (61.4% compared to 57.8%, a difference of 6.3%), and 3 or more vehicles in household (24.9% compared to 20.6%, a difference of 20.7%).
Vehicle Availability Metric | Nepalese | Burmese |
No Vehicles Available | Exceptional 7.4% | Excellent 9.7% |
1+ Vehicles Available | Exceptional 92.6% | Excellent 90.4% |
2+ Vehicles Available | Exceptional 61.4% | Exceptional 57.8% |
3+ Vehicles Available | Exceptional 24.9% | Exceptional 20.6% |
4+ Vehicles Available | Exceptional 8.7% | Exceptional 6.8% |
Nepalese vs Burmese Education Level
When considering education level, the most significant differences between Nepalese and Burmese communities in the United States are seen in doctorate degree (1.3% compared to 2.6%, a difference of 110.2%), no schooling completed (3.8% compared to 1.9%, a difference of 95.3%), and professional degree (3.2% compared to 6.1%, a difference of 89.8%). Conversely, both communities are more comparable in terms of nursery school (96.2% compared to 98.1%, a difference of 2.0%), kindergarten (96.2% compared to 98.1%, a difference of 2.0%), and 1st grade (96.1% compared to 98.0%, a difference of 2.0%).
Education Level Metric | Nepalese | Burmese |
No Schooling Completed | Tragic 3.8% | Excellent 1.9% |
Nursery School | Tragic 96.2% | Excellent 98.1% |
Kindergarten | Tragic 96.2% | Excellent 98.1% |
1st Grade | Tragic 96.1% | Excellent 98.0% |
2nd Grade | Tragic 96.1% | Excellent 98.0% |
3rd Grade | Tragic 95.9% | Good 97.9% |
4th Grade | Tragic 95.5% | Excellent 97.7% |
5th Grade | Tragic 95.2% | Excellent 97.5% |
6th Grade | Tragic 94.9% | Excellent 97.3% |
7th Grade | Tragic 93.2% | Excellent 96.3% |
8th Grade | Tragic 92.8% | Exceptional 96.1% |
9th Grade | Tragic 92.0% | Exceptional 95.4% |
10th Grade | Tragic 90.7% | Exceptional 94.5% |
11th Grade | Tragic 89.5% | Exceptional 93.6% |
12th Grade, No Diploma | Tragic 88.1% | Exceptional 92.6% |
High School Diploma | Tragic 85.3% | Exceptional 90.8% |
GED/Equivalency | Tragic 81.9% | Exceptional 88.3% |
College, Under 1 year | Tragic 62.2% | Exceptional 71.9% |
College, 1 year or more | Tragic 54.9% | Exceptional 66.7% |
Associate's Degree | Tragic 39.0% | Exceptional 54.6% |
Bachelor's Degree | Tragic 29.9% | Exceptional 46.9% |
Master's Degree | Tragic 10.5% | Exceptional 19.7% |
Professional Degree | Tragic 3.2% | Exceptional 6.1% |
Doctorate Degree | Tragic 1.3% | Exceptional 2.6% |
Nepalese vs Burmese Disability
When considering disability, the most significant differences between Nepalese and Burmese communities in the United States are seen in disability age 35 to 64 (12.8% compared to 9.2%, a difference of 39.2%), disability age 65 to 74 (28.0% compared to 20.6%, a difference of 35.9%), and vision disability (2.4% compared to 1.8%, a difference of 32.2%). Conversely, both communities are more comparable in terms of cognitive disability (18.0% compared to 16.7%, a difference of 7.9%), disability age 5 to 17 (5.3% compared to 4.8%, a difference of 10.9%), and disability age over 75 (52.6% compared to 45.9%, a difference of 14.5%).
Disability Metric | Nepalese | Burmese |
Disability | Tragic 12.8% | Exceptional 10.4% |
Males | Tragic 12.2% | Exceptional 10.0% |
Females | Tragic 13.3% | Exceptional 10.7% |
Age | Under 5 years | Exceptional 0.97% | Exceptional 1.1% |
Age | 5 to 17 years | Exceptional 5.3% | Exceptional 4.8% |
Age | 18 to 34 years | Tragic 7.1% | Exceptional 6.0% |
Age | 35 to 64 years | Tragic 12.8% | Exceptional 9.2% |
Age | 65 to 74 years | Tragic 28.0% | Exceptional 20.6% |
Age | Over 75 years | Tragic 52.6% | Exceptional 45.9% |
Vision | Tragic 2.4% | Exceptional 1.8% |
Hearing | Tragic 3.3% | Exceptional 2.8% |
Cognitive | Tragic 18.0% | Exceptional 16.7% |
Ambulatory | Tragic 6.6% | Exceptional 5.3% |
Self-Care | Tragic 3.0% | Exceptional 2.3% |