Asian vs Nepalese Community Comparison
COMPARE
Asian
Nepalese
Social Comparison
Social Comparison
Asians
Nepalese
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK
1,939
SOCIAL INDEX
16.9/ 100
SOCIAL RATING
281st/ 347
SOCIAL RANK
Nepalese Integration in Asian Communities
The statistical analysis conducted on geographies consisting of 24,490,458 people shows a poor negative correlation between the proportion of Nepalese within Asian communities in the United States with a correlation coefficient (R) of -0.168. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.002% in Nepalese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 1.9 Nepalese.
Asian vs Nepalese Income
When considering income, the most significant differences between Asian and Nepalese communities in the United States are seen in per capita income ($50,057 compared to $38,442, a difference of 30.2%), median male earnings ($63,827 compared to $49,458, a difference of 29.0%), and median family income ($119,955 compared to $94,153, a difference of 27.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($57,003 compared to $54,472, a difference of 4.6%), median female earnings ($44,586 compared to $38,603, a difference of 15.5%), and householder income over 65 years ($68,822 compared to $58,761, a difference of 17.1%).
Income Metric | Asian | Nepalese |
Per Capita Income | Exceptional $50,057 | Tragic $38,442 |
Median Family Income | Exceptional $119,955 | Tragic $94,153 |
Median Household Income | Exceptional $101,681 | Poor $82,410 |
Median Earnings | Exceptional $53,690 | Tragic $43,860 |
Median Male Earnings | Exceptional $63,827 | Tragic $49,458 |
Median Female Earnings | Exceptional $44,586 | Tragic $38,603 |
Householder Age | Under 25 years | Exceptional $57,003 | Exceptional $54,472 |
Householder Age | 25 - 44 years | Exceptional $112,666 | Poor $91,498 |
Householder Age | 45 - 64 years | Exceptional $118,426 | Tragic $93,355 |
Householder Age | Over 65 years | Exceptional $68,822 | Tragic $58,761 |
Wage/Income Gap | Tragic 26.9% | Exceptional 22.2% |
Asian vs Nepalese Poverty
When considering poverty, the most significant differences between Asian and Nepalese communities in the United States are seen in receiving food stamps (9.7% compared to 14.6%, a difference of 50.8%), married-couple family poverty (4.7% compared to 6.5%, a difference of 40.2%), and child poverty among girls under 16 (13.7% compared to 18.6%, a difference of 36.1%). Conversely, both communities are more comparable in terms of single father poverty (14.6% compared to 14.4%, a difference of 0.92%), single male poverty (11.2% compared to 11.6%, a difference of 3.4%), and seniors poverty over the age of 75 (12.0% compared to 12.6%, a difference of 5.2%).
Poverty Metric | Asian | Nepalese |
Poverty | Exceptional 11.0% | Tragic 14.0% |
Families | Exceptional 7.7% | Tragic 10.4% |
Males | Exceptional 10.0% | Tragic 12.8% |
Females | Exceptional 11.9% | Tragic 15.2% |
Females 18 to 24 years | Exceptional 18.2% | Fair 20.2% |
Females 25 to 34 years | Exceptional 11.4% | Tragic 15.2% |
Children Under 5 years | Exceptional 14.0% | Tragic 18.3% |
Children Under 16 years | Exceptional 13.5% | Tragic 18.2% |
Boys Under 16 years | Exceptional 13.5% | Tragic 18.0% |
Girls Under 16 years | Exceptional 13.7% | Tragic 18.6% |
Single Males | Exceptional 11.2% | Exceptional 11.6% |
Single Females | Exceptional 18.3% | Tragic 21.7% |
Single Fathers | Exceptional 14.6% | Exceptional 14.4% |
Single Mothers | Exceptional 26.0% | Fair 29.3% |
Married Couples | Exceptional 4.7% | Tragic 6.5% |
Seniors Over 65 years | Excellent 10.4% | Tragic 11.5% |
Seniors Over 75 years | Good 12.0% | Poor 12.6% |
Receiving Food Stamps | Exceptional 9.7% | Tragic 14.6% |
Asian vs Nepalese Unemployment
When considering unemployment, the most significant differences between Asian and Nepalese communities in the United States are seen in unemployment among ages 35 to 44 years (4.4% compared to 5.6%, a difference of 27.5%), male unemployment (5.1% compared to 6.4%, a difference of 26.6%), and unemployment among seniors over 75 years (8.3% compared to 10.1%, a difference of 22.5%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 1.2%), unemployment among women with children ages 6 to 17 years (8.0% compared to 7.7%, a difference of 3.1%), and unemployment among ages 20 to 24 years (10.2% compared to 10.6%, a difference of 3.9%).
Unemployment Metric | Asian | Nepalese |
Unemployment | Excellent 5.1% | Tragic 6.2% |
Males | Exceptional 5.1% | Tragic 6.4% |
Females | Good 5.2% | Tragic 5.9% |
Youth < 25 | Good 11.4% | Tragic 12.5% |
Age | 16 to 19 years | Exceptional 16.9% | Tragic 18.2% |
Age | 20 to 24 years | Good 10.2% | Tragic 10.6% |
Age | 25 to 29 years | Exceptional 6.3% | Tragic 7.5% |
Age | 30 to 34 years | Exceptional 5.1% | Tragic 5.9% |
Age | 35 to 44 years | Exceptional 4.4% | Tragic 5.6% |
Age | 45 to 54 years | Exceptional 4.3% | Tragic 5.0% |
Age | 55 to 59 years | Exceptional 4.7% | Tragic 5.6% |
Age | 60 to 64 years | Average 4.9% | Tragic 5.2% |
Age | 65 to 74 years | Exceptional 5.3% | Exceptional 5.0% |
Seniors > 65 | Excellent 5.1% | Good 5.1% |
Seniors > 75 | Exceptional 8.3% | Tragic 10.1% |
Women w/ Children < 6 | Exceptional 6.7% | Average 7.7% |
Women w/ Children 6 to 17 | Exceptional 8.0% | Exceptional 7.7% |
Women w/ Children < 18 | Exceptional 5.1% | Tragic 6.0% |
Asian vs Nepalese Labor Participation
When considering labor participation, the most significant differences between Asian and Nepalese communities in the United States are seen in in labor force | age > 16 (66.2% compared to 63.8%, a difference of 3.7%), in labor force | age 45-54 (83.4% compared to 80.5%, a difference of 3.6%), and in labor force | age 20-64 (80.2% compared to 77.5%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (73.7% compared to 74.5%, a difference of 1.1%), in labor force | age 16-19 (34.1% compared to 33.5%, a difference of 1.7%), and in labor force | age 25-29 (84.8% compared to 82.9%, a difference of 2.3%).
Labor Participation Metric | Asian | Nepalese |
In Labor Force | Age > 16 | Exceptional 66.2% | Tragic 63.8% |
In Labor Force | Age 20-64 | Exceptional 80.2% | Tragic 77.5% |
In Labor Force | Age 16-19 | Tragic 34.1% | Tragic 33.5% |
In Labor Force | Age 20-24 | Tragic 73.7% | Poor 74.5% |
In Labor Force | Age 25-29 | Good 84.8% | Tragic 82.9% |
In Labor Force | Age 30-34 | Exceptional 85.1% | Tragic 82.7% |
In Labor Force | Age 35-44 | Exceptional 84.7% | Tragic 82.4% |
In Labor Force | Age 45-54 | Exceptional 83.4% | Tragic 80.5% |
Asian vs Nepalese Family Structure
When considering family structure, the most significant differences between Asian and Nepalese communities in the United States are seen in single father households (2.1% compared to 3.1%, a difference of 48.5%), single mother households (5.6% compared to 7.5%, a difference of 33.4%), and births to unmarried women (26.8% compared to 33.5%, a difference of 25.2%). Conversely, both communities are more comparable in terms of family households (66.5% compared to 67.2%, a difference of 1.0%), average family size (3.28 compared to 3.42, a difference of 4.3%), and family households with children (29.1% compared to 30.5%, a difference of 5.0%).
Family Structure Metric | Asian | Nepalese |
Family Households | Exceptional 66.5% | Exceptional 67.2% |
Family Households with Children | Exceptional 29.1% | Exceptional 30.5% |
Married-couple Households | Exceptional 49.5% | Poor 45.6% |
Average Family Size | Exceptional 3.28 | Exceptional 3.42 |
Single Father Households | Exceptional 2.1% | Tragic 3.1% |
Single Mother Households | Exceptional 5.6% | Tragic 7.5% |
Currently Married | Exceptional 48.4% | Tragic 44.7% |
Divorced or Separated | Exceptional 10.6% | Tragic 12.5% |
Births to Unmarried Women | Exceptional 26.8% | Tragic 33.5% |
Asian vs Nepalese Vehicle Availability
When considering vehicle availability, the most significant differences between Asian and Nepalese communities in the United States are seen in 4 or more vehicles in household (7.0% compared to 8.7%, a difference of 24.7%), no vehicles in household (9.0% compared to 7.4%, a difference of 21.4%), and 3 or more vehicles in household (20.8% compared to 24.9%, a difference of 20.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 92.6%, a difference of 1.7%), 2 or more vehicles in household (57.0% compared to 61.4%, a difference of 7.8%), and 3 or more vehicles in household (20.8% compared to 24.9%, a difference of 20.1%).
Vehicle Availability Metric | Asian | Nepalese |
No Vehicles Available | Exceptional 9.0% | Exceptional 7.4% |
1+ Vehicles Available | Exceptional 91.1% | Exceptional 92.6% |
2+ Vehicles Available | Exceptional 57.0% | Exceptional 61.4% |
3+ Vehicles Available | Exceptional 20.8% | Exceptional 24.9% |
4+ Vehicles Available | Exceptional 7.0% | Exceptional 8.7% |
Asian vs Nepalese Education Level
When considering education level, the most significant differences between Asian and Nepalese communities in the United States are seen in doctorate degree (2.4% compared to 1.3%, a difference of 93.8%), master's degree (18.4% compared to 10.5%, a difference of 76.1%), and professional degree (5.5% compared to 3.2%, a difference of 70.2%). Conversely, both communities are more comparable in terms of 1st grade (97.6% compared to 96.1%, a difference of 1.5%), nursery school (97.6% compared to 96.2%, a difference of 1.5%), and kindergarten (97.6% compared to 96.2%, a difference of 1.5%).
Education Level Metric | Asian | Nepalese |
No Schooling Completed | Tragic 2.4% | Tragic 3.8% |
Nursery School | Tragic 97.6% | Tragic 96.2% |
Kindergarten | Tragic 97.6% | Tragic 96.2% |
1st Grade | Tragic 97.6% | Tragic 96.1% |
2nd Grade | Tragic 97.5% | Tragic 96.1% |
3rd Grade | Tragic 97.4% | Tragic 95.9% |
4th Grade | Tragic 97.1% | Tragic 95.5% |
5th Grade | Tragic 96.9% | Tragic 95.2% |
6th Grade | Tragic 96.6% | Tragic 94.9% |
7th Grade | Tragic 95.5% | Tragic 93.2% |
8th Grade | Tragic 95.2% | Tragic 92.8% |
9th Grade | Tragic 94.5% | Tragic 92.0% |
10th Grade | Fair 93.5% | Tragic 90.7% |
11th Grade | Average 92.5% | Tragic 89.5% |
12th Grade, No Diploma | Good 91.4% | Tragic 88.1% |
High School Diploma | Good 89.4% | Tragic 85.3% |
GED/Equivalency | Exceptional 86.7% | Tragic 81.9% |
College, Under 1 year | Exceptional 69.4% | Tragic 62.2% |
College, 1 year or more | Exceptional 64.2% | Tragic 54.9% |
Associate's Degree | Exceptional 52.1% | Tragic 39.0% |
Bachelor's Degree | Exceptional 44.4% | Tragic 29.9% |
Master's Degree | Exceptional 18.4% | Tragic 10.5% |
Professional Degree | Exceptional 5.5% | Tragic 3.2% |
Doctorate Degree | Exceptional 2.4% | Tragic 1.3% |
Asian vs Nepalese Disability
When considering disability, the most significant differences between Asian and Nepalese communities in the United States are seen in disability age 35 to 64 (9.4% compared to 12.8%, a difference of 36.6%), disability age 65 to 74 (21.4% compared to 28.0%, a difference of 31.1%), and vision disability (1.9% compared to 2.4%, a difference of 28.7%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 18.0%, a difference of 7.3%), disability age 5 to 17 (4.8% compared to 5.3%, a difference of 10.3%), and disability age under 5 (1.1% compared to 0.97%, a difference of 11.5%).
Disability Metric | Asian | Nepalese |
Disability | Exceptional 10.4% | Tragic 12.8% |
Males | Exceptional 10.0% | Tragic 12.2% |
Females | Exceptional 10.9% | Tragic 13.3% |
Age | Under 5 years | Exceptional 1.1% | Exceptional 0.97% |
Age | 5 to 17 years | Exceptional 4.8% | Exceptional 5.3% |
Age | 18 to 34 years | Exceptional 5.8% | Tragic 7.1% |
Age | 35 to 64 years | Exceptional 9.4% | Tragic 12.8% |
Age | 65 to 74 years | Exceptional 21.4% | Tragic 28.0% |
Age | Over 75 years | Excellent 46.9% | Tragic 52.6% |
Vision | Exceptional 1.9% | Tragic 2.4% |
Hearing | Exceptional 2.7% | Tragic 3.3% |
Cognitive | Exceptional 16.7% | Tragic 18.0% |
Ambulatory | Exceptional 5.4% | Tragic 6.6% |
Self-Care | Exceptional 2.3% | Tragic 3.0% |