Bangladeshi vs Nepalese Community Comparison
COMPARE
Bangladeshi
Nepalese
Social Comparison
Social Comparison
Bangladeshis
Nepalese
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
1,939
SOCIAL INDEX
16.9/ 100
SOCIAL RATING
281st/ 347
SOCIAL RANK
Nepalese Integration in Bangladeshi Communities
The statistical analysis conducted on geographies consisting of 20,415,317 people shows a substantial positive correlation between the proportion of Nepalese within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.552. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.060% in Nepalese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 60.1 Nepalese.
Bangladeshi vs Nepalese Income
When considering income, the most significant differences between Bangladeshi and Nepalese communities in the United States are seen in householder income under 25 years ($47,589 compared to $54,472, a difference of 14.5%), householder income ages 25 - 44 years ($81,363 compared to $91,498, a difference of 12.5%), and median household income ($74,112 compared to $82,410, a difference of 11.2%). Conversely, both communities are more comparable in terms of wage/income gap (22.2% compared to 22.2%, a difference of 0.23%), median male earnings ($46,744 compared to $49,458, a difference of 5.8%), and median earnings ($41,263 compared to $43,860, a difference of 6.3%).
Income Metric | Bangladeshi | Nepalese |
Per Capita Income | Tragic $35,897 | Tragic $38,442 |
Median Family Income | Tragic $88,358 | Tragic $94,153 |
Median Household Income | Tragic $74,112 | Poor $82,410 |
Median Earnings | Tragic $41,263 | Tragic $43,860 |
Median Male Earnings | Tragic $46,744 | Tragic $49,458 |
Median Female Earnings | Tragic $35,960 | Tragic $38,603 |
Householder Age | Under 25 years | Tragic $47,589 | Exceptional $54,472 |
Householder Age | 25 - 44 years | Tragic $81,363 | Poor $91,498 |
Householder Age | 45 - 64 years | Tragic $86,402 | Tragic $93,355 |
Householder Age | Over 65 years | Tragic $54,719 | Tragic $58,761 |
Wage/Income Gap | Exceptional 22.2% | Exceptional 22.2% |
Bangladeshi vs Nepalese Poverty
When considering poverty, the most significant differences between Bangladeshi and Nepalese communities in the United States are seen in single male poverty (13.3% compared to 11.6%, a difference of 15.2%), child poverty under the age of 5 (20.6% compared to 18.3%, a difference of 12.8%), and child poverty among boys under 16 (20.0% compared to 18.0%, a difference of 11.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.2% compared to 11.5%, a difference of 2.7%), receiving food stamps (15.0% compared to 14.6%, a difference of 3.0%), and female poverty among 25-34 year olds (15.9% compared to 15.2%, a difference of 4.5%).
Poverty Metric | Bangladeshi | Nepalese |
Poverty | Tragic 14.8% | Tragic 14.0% |
Families | Tragic 10.9% | Tragic 10.4% |
Males | Tragic 13.6% | Tragic 12.8% |
Females | Tragic 16.0% | Tragic 15.2% |
Females 18 to 24 years | Tragic 22.5% | Fair 20.2% |
Females 25 to 34 years | Tragic 15.9% | Tragic 15.2% |
Children Under 5 years | Tragic 20.6% | Tragic 18.3% |
Children Under 16 years | Tragic 19.9% | Tragic 18.2% |
Boys Under 16 years | Tragic 20.0% | Tragic 18.0% |
Girls Under 16 years | Tragic 20.0% | Tragic 18.6% |
Single Males | Tragic 13.3% | Exceptional 11.6% |
Single Females | Tragic 24.2% | Tragic 21.7% |
Single Fathers | Exceptional 15.2% | Exceptional 14.4% |
Single Mothers | Tragic 31.7% | Fair 29.3% |
Married Couples | Tragic 6.0% | Tragic 6.5% |
Seniors Over 65 years | Fair 11.2% | Tragic 11.5% |
Seniors Over 75 years | Good 12.0% | Poor 12.6% |
Receiving Food Stamps | Tragic 15.0% | Tragic 14.6% |
Bangladeshi vs Nepalese Unemployment
When considering unemployment, the most significant differences between Bangladeshi and Nepalese communities in the United States are seen in unemployment among ages 55 to 59 years (4.7% compared to 5.6%, a difference of 18.8%), unemployment among ages 35 to 44 years (4.8% compared to 5.6%, a difference of 17.4%), and unemployment among ages 60 to 64 years (4.6% compared to 5.2%, a difference of 14.5%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 1.1%), unemployment among women with children under 6 years (7.5% compared to 7.7%, a difference of 2.3%), and unemployment among women with children ages 6 to 17 years (7.4% compared to 7.7%, a difference of 4.9%).
Unemployment Metric | Bangladeshi | Nepalese |
Unemployment | Poor 5.4% | Tragic 6.2% |
Males | Tragic 5.7% | Tragic 6.4% |
Females | Good 5.2% | Tragic 5.9% |
Youth < 25 | Average 11.6% | Tragic 12.5% |
Age | 16 to 19 years | Exceptional 16.9% | Tragic 18.2% |
Age | 20 to 24 years | Exceptional 10.0% | Tragic 10.6% |
Age | 25 to 29 years | Average 6.6% | Tragic 7.5% |
Age | 30 to 34 years | Good 5.3% | Tragic 5.9% |
Age | 35 to 44 years | Fair 4.8% | Tragic 5.6% |
Age | 45 to 54 years | Average 4.5% | Tragic 5.0% |
Age | 55 to 59 years | Exceptional 4.7% | Tragic 5.6% |
Age | 60 to 64 years | Exceptional 4.6% | Tragic 5.2% |
Age | 65 to 74 years | Good 5.3% | Exceptional 5.0% |
Seniors > 65 | Fair 5.2% | Good 5.1% |
Seniors > 75 | Tragic 9.6% | Tragic 10.1% |
Women w/ Children < 6 | Good 7.5% | Average 7.7% |
Women w/ Children 6 to 17 | Exceptional 7.4% | Exceptional 7.7% |
Women w/ Children < 18 | Good 5.3% | Tragic 6.0% |
Bangladeshi vs Nepalese Labor Participation
When considering labor participation, the most significant differences between Bangladeshi and Nepalese communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 33.5%, a difference of 26.7%), in labor force | age 20-24 (78.1% compared to 74.5%, a difference of 4.9%), and in labor force | age > 16 (65.9% compared to 63.8%, a difference of 3.3%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.3% compared to 80.5%, a difference of 0.96%), in labor force | age 30-34 (84.3% compared to 82.7%, a difference of 2.0%), and in labor force | age 35-44 (84.1% compared to 82.4%, a difference of 2.1%).
Labor Participation Metric | Bangladeshi | Nepalese |
In Labor Force | Age > 16 | Exceptional 65.9% | Tragic 63.8% |
In Labor Force | Age 20-64 | Poor 79.3% | Tragic 77.5% |
In Labor Force | Age 16-19 | Exceptional 42.5% | Tragic 33.5% |
In Labor Force | Age 20-24 | Exceptional 78.1% | Poor 74.5% |
In Labor Force | Age 25-29 | Exceptional 85.1% | Tragic 82.9% |
In Labor Force | Age 30-34 | Tragic 84.3% | Tragic 82.7% |
In Labor Force | Age 35-44 | Poor 84.1% | Tragic 82.4% |
In Labor Force | Age 45-54 | Tragic 81.3% | Tragic 80.5% |
Bangladeshi vs Nepalese Family Structure
When considering family structure, the most significant differences between Bangladeshi and Nepalese communities in the United States are seen in single mother households (8.1% compared to 7.5%, a difference of 9.2%), married-couple households (43.5% compared to 45.6%, a difference of 4.7%), and family households (64.3% compared to 67.2%, a difference of 4.6%). Conversely, both communities are more comparable in terms of family households with children (30.1% compared to 30.5%, a difference of 1.4%), single father households (3.1% compared to 3.1%, a difference of 1.5%), and average family size (3.37 compared to 3.42, a difference of 1.6%).
Family Structure Metric | Bangladeshi | Nepalese |
Family Households | Average 64.3% | Exceptional 67.2% |
Family Households with Children | Exceptional 30.1% | Exceptional 30.5% |
Married-couple Households | Tragic 43.5% | Poor 45.6% |
Average Family Size | Exceptional 3.37 | Exceptional 3.42 |
Single Father Households | Tragic 3.1% | Tragic 3.1% |
Single Mother Households | Tragic 8.1% | Tragic 7.5% |
Currently Married | Tragic 43.7% | Tragic 44.7% |
Divorced or Separated | Poor 12.3% | Tragic 12.5% |
Births to Unmarried Women | Tragic 34.4% | Tragic 33.5% |
Bangladeshi vs Nepalese Vehicle Availability
When considering vehicle availability, the most significant differences between Bangladeshi and Nepalese communities in the United States are seen in no vehicles in household (8.7% compared to 7.4%, a difference of 17.2%), 4 or more vehicles in household (7.6% compared to 8.7%, a difference of 15.8%), and 3 or more vehicles in household (21.9% compared to 24.9%, a difference of 14.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 92.6%, a difference of 1.4%), 2 or more vehicles in household (58.4% compared to 61.4%, a difference of 5.1%), and 3 or more vehicles in household (21.9% compared to 24.9%, a difference of 14.0%).
Vehicle Availability Metric | Bangladeshi | Nepalese |
No Vehicles Available | Exceptional 8.7% | Exceptional 7.4% |
1+ Vehicles Available | Exceptional 91.4% | Exceptional 92.6% |
2+ Vehicles Available | Exceptional 58.4% | Exceptional 61.4% |
3+ Vehicles Available | Exceptional 21.9% | Exceptional 24.9% |
4+ Vehicles Available | Exceptional 7.6% | Exceptional 8.7% |
Bangladeshi vs Nepalese Education Level
When considering education level, the most significant differences between Bangladeshi and Nepalese communities in the United States are seen in no schooling completed (3.5% compared to 3.8%, a difference of 7.5%), professional degree (3.1% compared to 3.2%, a difference of 4.8%), and doctorate degree (1.2% compared to 1.3%, a difference of 3.5%). Conversely, both communities are more comparable in terms of master's degree (10.5% compared to 10.5%, a difference of 0.080%), nursery school (96.6% compared to 96.2%, a difference of 0.40%), and 1st grade (96.5% compared to 96.1%, a difference of 0.40%).
Education Level Metric | Bangladeshi | Nepalese |
No Schooling Completed | Tragic 3.5% | Tragic 3.8% |
Nursery School | Tragic 96.6% | Tragic 96.2% |
Kindergarten | Tragic 96.6% | Tragic 96.2% |
1st Grade | Tragic 96.5% | Tragic 96.1% |
2nd Grade | Tragic 96.5% | Tragic 96.1% |
3rd Grade | Tragic 96.3% | Tragic 95.9% |
4th Grade | Tragic 96.1% | Tragic 95.5% |
5th Grade | Tragic 95.9% | Tragic 95.2% |
6th Grade | Tragic 95.7% | Tragic 94.9% |
7th Grade | Tragic 94.5% | Tragic 93.2% |
8th Grade | Tragic 94.3% | Tragic 92.8% |
9th Grade | Tragic 93.4% | Tragic 92.0% |
10th Grade | Tragic 92.2% | Tragic 90.7% |
11th Grade | Tragic 90.9% | Tragic 89.5% |
12th Grade, No Diploma | Tragic 89.3% | Tragic 88.1% |
High School Diploma | Tragic 86.9% | Tragic 85.3% |
GED/Equivalency | Tragic 83.1% | Tragic 81.9% |
College, Under 1 year | Tragic 61.4% | Tragic 62.2% |
College, 1 year or more | Tragic 54.5% | Tragic 54.9% |
Associate's Degree | Tragic 40.0% | Tragic 39.0% |
Bachelor's Degree | Tragic 30.2% | Tragic 29.9% |
Master's Degree | Tragic 10.5% | Tragic 10.5% |
Professional Degree | Tragic 3.1% | Tragic 3.2% |
Doctorate Degree | Tragic 1.2% | Tragic 1.3% |
Bangladeshi vs Nepalese Disability
When considering disability, the most significant differences between Bangladeshi and Nepalese communities in the United States are seen in disability age under 5 (1.3% compared to 0.97%, a difference of 32.3%), disability age 5 to 17 (5.8% compared to 5.3%, a difference of 9.6%), and disability age over 75 (49.4% compared to 52.6%, a difference of 6.4%). Conversely, both communities are more comparable in terms of male disability (12.0% compared to 12.2%, a difference of 1.5%), disability (12.6% compared to 12.8%, a difference of 1.6%), and female disability (13.1% compared to 13.3%, a difference of 1.7%).
Disability Metric | Bangladeshi | Nepalese |
Disability | Tragic 12.6% | Tragic 12.8% |
Males | Tragic 12.0% | Tragic 12.2% |
Females | Tragic 13.1% | Tragic 13.3% |
Age | Under 5 years | Poor 1.3% | Exceptional 0.97% |
Age | 5 to 17 years | Tragic 5.8% | Exceptional 5.3% |
Age | 18 to 34 years | Tragic 7.4% | Tragic 7.1% |
Age | 35 to 64 years | Tragic 13.6% | Tragic 12.8% |
Age | 65 to 74 years | Tragic 26.8% | Tragic 28.0% |
Age | Over 75 years | Tragic 49.4% | Tragic 52.6% |
Vision | Tragic 2.3% | Tragic 2.4% |
Hearing | Tragic 3.2% | Tragic 3.3% |
Cognitive | Tragic 18.6% | Tragic 18.0% |
Ambulatory | Poor 6.3% | Tragic 6.6% |
Self-Care | Tragic 2.8% | Tragic 3.0% |