Nepalese vs Bangladeshi Community Comparison
COMPARE
Nepalese
Bangladeshi
Social Comparison
Social Comparison
Nepalese
Bangladeshis
1,939
SOCIAL INDEX
16.9/ 100
SOCIAL RATING
281st/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
Bangladeshi Integration in Nepalese Communities
The statistical analysis conducted on geographies consisting of 20,410,027 people shows a substantial positive correlation between the proportion of Bangladeshis within Nepalese communities in the United States with a correlation coefficient (R) of 0.511. On average, for every 1% (one percent) increase in Nepalese within a typical geography, there is an increase of 2.072% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nepalese corresponds to an increase of 2,072.2 Bangladeshis.
Nepalese vs Bangladeshi Income
When considering income, the most significant differences between Nepalese and Bangladeshi communities in the United States are seen in householder income under 25 years ($54,472 compared to $47,589, a difference of 14.5%), householder income ages 25 - 44 years ($91,498 compared to $81,363, a difference of 12.5%), and median household income ($82,410 compared to $74,112, 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 ($49,458 compared to $46,744, a difference of 5.8%), and median earnings ($43,860 compared to $41,263, a difference of 6.3%).
Income Metric | Nepalese | Bangladeshi |
Per Capita Income | Tragic $38,442 | Tragic $35,897 |
Median Family Income | Tragic $94,153 | Tragic $88,358 |
Median Household Income | Poor $82,410 | Tragic $74,112 |
Median Earnings | Tragic $43,860 | Tragic $41,263 |
Median Male Earnings | Tragic $49,458 | Tragic $46,744 |
Median Female Earnings | Tragic $38,603 | Tragic $35,960 |
Householder Age | Under 25 years | Exceptional $54,472 | Tragic $47,589 |
Householder Age | 25 - 44 years | Poor $91,498 | Tragic $81,363 |
Householder Age | 45 - 64 years | Tragic $93,355 | Tragic $86,402 |
Householder Age | Over 65 years | Tragic $58,761 | Tragic $54,719 |
Wage/Income Gap | Exceptional 22.2% | Exceptional 22.2% |
Nepalese vs Bangladeshi Poverty
When considering poverty, the most significant differences between Nepalese and Bangladeshi communities in the United States are seen in single male poverty (11.6% compared to 13.3%, a difference of 15.2%), child poverty under the age of 5 (18.3% compared to 20.6%, a difference of 12.8%), and child poverty among boys under 16 (18.0% compared to 20.0%, a difference of 11.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.5% compared to 11.2%, a difference of 2.7%), receiving food stamps (14.6% compared to 15.0%, a difference of 3.0%), and female poverty among 25-34 year olds (15.2% compared to 15.9%, a difference of 4.5%).
Poverty Metric | Nepalese | Bangladeshi |
Poverty | Tragic 14.0% | Tragic 14.8% |
Families | Tragic 10.4% | Tragic 10.9% |
Males | Tragic 12.8% | Tragic 13.6% |
Females | Tragic 15.2% | Tragic 16.0% |
Females 18 to 24 years | Fair 20.2% | Tragic 22.5% |
Females 25 to 34 years | Tragic 15.2% | Tragic 15.9% |
Children Under 5 years | Tragic 18.3% | Tragic 20.6% |
Children Under 16 years | Tragic 18.2% | Tragic 19.9% |
Boys Under 16 years | Tragic 18.0% | Tragic 20.0% |
Girls Under 16 years | Tragic 18.6% | Tragic 20.0% |
Single Males | Exceptional 11.6% | Tragic 13.3% |
Single Females | Tragic 21.7% | Tragic 24.2% |
Single Fathers | Exceptional 14.4% | Exceptional 15.2% |
Single Mothers | Fair 29.3% | Tragic 31.7% |
Married Couples | Tragic 6.5% | Tragic 6.0% |
Seniors Over 65 years | Tragic 11.5% | Fair 11.2% |
Seniors Over 75 years | Poor 12.6% | Good 12.0% |
Receiving Food Stamps | Tragic 14.6% | Tragic 15.0% |
Nepalese vs Bangladeshi Unemployment
When considering unemployment, the most significant differences between Nepalese and Bangladeshi communities in the United States are seen in unemployment among ages 55 to 59 years (5.6% compared to 4.7%, a difference of 18.8%), unemployment among ages 35 to 44 years (5.6% compared to 4.8%, a difference of 17.4%), and unemployment among ages 60 to 64 years (5.2% compared to 4.6%, a difference of 14.5%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.2%, a difference of 1.1%), unemployment among women with children under 6 years (7.7% compared to 7.5%, a difference of 2.3%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 7.4%, a difference of 4.9%).
Unemployment Metric | Nepalese | Bangladeshi |
Unemployment | Tragic 6.2% | Poor 5.4% |
Males | Tragic 6.4% | Tragic 5.7% |
Females | Tragic 5.9% | Good 5.2% |
Youth < 25 | Tragic 12.5% | Average 11.6% |
Age | 16 to 19 years | Tragic 18.2% | Exceptional 16.9% |
Age | 20 to 24 years | Tragic 10.6% | Exceptional 10.0% |
Age | 25 to 29 years | Tragic 7.5% | Average 6.6% |
Age | 30 to 34 years | Tragic 5.9% | Good 5.3% |
Age | 35 to 44 years | Tragic 5.6% | Fair 4.8% |
Age | 45 to 54 years | Tragic 5.0% | Average 4.5% |
Age | 55 to 59 years | Tragic 5.6% | Exceptional 4.7% |
Age | 60 to 64 years | Tragic 5.2% | Exceptional 4.6% |
Age | 65 to 74 years | Exceptional 5.0% | Good 5.3% |
Seniors > 65 | Good 5.1% | Fair 5.2% |
Seniors > 75 | Tragic 10.1% | Tragic 9.6% |
Women w/ Children < 6 | Average 7.7% | Good 7.5% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Exceptional 7.4% |
Women w/ Children < 18 | Tragic 6.0% | Good 5.3% |
Nepalese vs Bangladeshi Labor Participation
When considering labor participation, the most significant differences between Nepalese and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (33.5% compared to 42.5%, a difference of 26.7%), in labor force | age 20-24 (74.5% compared to 78.1%, a difference of 4.9%), and in labor force | age > 16 (63.8% compared to 65.9%, a difference of 3.3%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (80.5% compared to 81.3%, a difference of 0.96%), in labor force | age 30-34 (82.7% compared to 84.3%, a difference of 2.0%), and in labor force | age 35-44 (82.4% compared to 84.1%, a difference of 2.1%).
Labor Participation Metric | Nepalese | Bangladeshi |
In Labor Force | Age > 16 | Tragic 63.8% | Exceptional 65.9% |
In Labor Force | Age 20-64 | Tragic 77.5% | Poor 79.3% |
In Labor Force | Age 16-19 | Tragic 33.5% | Exceptional 42.5% |
In Labor Force | Age 20-24 | Poor 74.5% | Exceptional 78.1% |
In Labor Force | Age 25-29 | Tragic 82.9% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Tragic 82.7% | Tragic 84.3% |
In Labor Force | Age 35-44 | Tragic 82.4% | Poor 84.1% |
In Labor Force | Age 45-54 | Tragic 80.5% | Tragic 81.3% |
Nepalese vs Bangladeshi Family Structure
When considering family structure, the most significant differences between Nepalese and Bangladeshi communities in the United States are seen in single mother households (7.5% compared to 8.1%, a difference of 9.2%), married-couple households (45.6% compared to 43.5%, a difference of 4.7%), and family households (67.2% compared to 64.3%, a difference of 4.6%). Conversely, both communities are more comparable in terms of family households with children (30.5% compared to 30.1%, a difference of 1.4%), single father households (3.1% compared to 3.1%, a difference of 1.5%), and average family size (3.42 compared to 3.37, a difference of 1.6%).
Family Structure Metric | Nepalese | Bangladeshi |
Family Households | Exceptional 67.2% | Average 64.3% |
Family Households with Children | Exceptional 30.5% | Exceptional 30.1% |
Married-couple Households | Poor 45.6% | Tragic 43.5% |
Average Family Size | Exceptional 3.42 | Exceptional 3.37 |
Single Father Households | Tragic 3.1% | Tragic 3.1% |
Single Mother Households | Tragic 7.5% | Tragic 8.1% |
Currently Married | Tragic 44.7% | Tragic 43.7% |
Divorced or Separated | Tragic 12.5% | Poor 12.3% |
Births to Unmarried Women | Tragic 33.5% | Tragic 34.4% |
Nepalese vs Bangladeshi Vehicle Availability
When considering vehicle availability, the most significant differences between Nepalese and Bangladeshi communities in the United States are seen in no vehicles in household (7.4% compared to 8.7%, a difference of 17.2%), 4 or more vehicles in household (8.7% compared to 7.6%, a difference of 15.8%), and 3 or more vehicles in household (24.9% compared to 21.9%, a difference of 14.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.6% compared to 91.4%, a difference of 1.4%), 2 or more vehicles in household (61.4% compared to 58.4%, a difference of 5.1%), and 3 or more vehicles in household (24.9% compared to 21.9%, a difference of 14.0%).
Vehicle Availability Metric | Nepalese | Bangladeshi |
No Vehicles Available | Exceptional 7.4% | Exceptional 8.7% |
1+ Vehicles Available | Exceptional 92.6% | Exceptional 91.4% |
2+ Vehicles Available | Exceptional 61.4% | Exceptional 58.4% |
3+ Vehicles Available | Exceptional 24.9% | Exceptional 21.9% |
4+ Vehicles Available | Exceptional 8.7% | Exceptional 7.6% |
Nepalese vs Bangladeshi Education Level
When considering education level, the most significant differences between Nepalese and Bangladeshi communities in the United States are seen in no schooling completed (3.8% compared to 3.5%, a difference of 7.5%), professional degree (3.2% compared to 3.1%, a difference of 4.8%), and doctorate degree (1.3% compared to 1.2%, 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 (96.2% compared to 96.6%, a difference of 0.40%), and 1st grade (96.1% compared to 96.5%, a difference of 0.40%).
Education Level Metric | Nepalese | Bangladeshi |
No Schooling Completed | Tragic 3.8% | Tragic 3.5% |
Nursery School | Tragic 96.2% | Tragic 96.6% |
Kindergarten | Tragic 96.2% | Tragic 96.6% |
1st Grade | Tragic 96.1% | Tragic 96.5% |
2nd Grade | Tragic 96.1% | Tragic 96.5% |
3rd Grade | Tragic 95.9% | Tragic 96.3% |
4th Grade | Tragic 95.5% | Tragic 96.1% |
5th Grade | Tragic 95.2% | Tragic 95.9% |
6th Grade | Tragic 94.9% | Tragic 95.7% |
7th Grade | Tragic 93.2% | Tragic 94.5% |
8th Grade | Tragic 92.8% | Tragic 94.3% |
9th Grade | Tragic 92.0% | Tragic 93.4% |
10th Grade | Tragic 90.7% | Tragic 92.2% |
11th Grade | Tragic 89.5% | Tragic 90.9% |
12th Grade, No Diploma | Tragic 88.1% | Tragic 89.3% |
High School Diploma | Tragic 85.3% | Tragic 86.9% |
GED/Equivalency | Tragic 81.9% | Tragic 83.1% |
College, Under 1 year | Tragic 62.2% | Tragic 61.4% |
College, 1 year or more | Tragic 54.9% | Tragic 54.5% |
Associate's Degree | Tragic 39.0% | Tragic 40.0% |
Bachelor's Degree | Tragic 29.9% | Tragic 30.2% |
Master's Degree | Tragic 10.5% | Tragic 10.5% |
Professional Degree | Tragic 3.2% | Tragic 3.1% |
Doctorate Degree | Tragic 1.3% | Tragic 1.2% |
Nepalese vs Bangladeshi Disability
When considering disability, the most significant differences between Nepalese and Bangladeshi communities in the United States are seen in disability age under 5 (0.97% compared to 1.3%, a difference of 32.3%), disability age 5 to 17 (5.3% compared to 5.8%, a difference of 9.6%), and disability age over 75 (52.6% compared to 49.4%, a difference of 6.4%). Conversely, both communities are more comparable in terms of male disability (12.2% compared to 12.0%, a difference of 1.5%), disability (12.8% compared to 12.6%, a difference of 1.6%), and female disability (13.3% compared to 13.1%, a difference of 1.7%).
Disability Metric | Nepalese | Bangladeshi |
Disability | Tragic 12.8% | Tragic 12.6% |
Males | Tragic 12.2% | Tragic 12.0% |
Females | Tragic 13.3% | Tragic 13.1% |
Age | Under 5 years | Exceptional 0.97% | Poor 1.3% |
Age | 5 to 17 years | Exceptional 5.3% | Tragic 5.8% |
Age | 18 to 34 years | Tragic 7.1% | Tragic 7.4% |
Age | 35 to 64 years | Tragic 12.8% | Tragic 13.6% |
Age | 65 to 74 years | Tragic 28.0% | Tragic 26.8% |
Age | Over 75 years | Tragic 52.6% | Tragic 49.4% |
Vision | Tragic 2.4% | Tragic 2.3% |
Hearing | Tragic 3.3% | Tragic 3.2% |
Cognitive | Tragic 18.0% | Tragic 18.6% |
Ambulatory | Tragic 6.6% | Poor 6.3% |
Self-Care | Tragic 3.0% | Tragic 2.8% |