Nepalese vs Indian (Asian) Community Comparison
COMPARE
Nepalese
Indian (Asian)
Social Comparison
Social Comparison
Nepalese
Indians (Asian)
1,939
SOCIAL INDEX
16.9/ 100
SOCIAL RATING
281st/ 347
SOCIAL RANK
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
Indian (Asian) Integration in Nepalese Communities
The statistical analysis conducted on geographies consisting of 24,443,062 people shows a mild negative correlation between the proportion of Indians (Asian) within Nepalese communities in the United States with a correlation coefficient (R) of -0.342. On average, for every 1% (one percent) increase in Nepalese within a typical geography, there is a decrease of 0.452% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nepalese corresponds to a decrease of 451.7 Indians (Asian).
Nepalese vs Indian (Asian) Income
When considering income, the most significant differences between Nepalese and Indian (Asian) communities in the United States are seen in per capita income ($38,442 compared to $53,874, a difference of 40.1%), median male earnings ($49,458 compared to $66,078, a difference of 33.6%), and median family income ($94,153 compared to $125,312, a difference of 33.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,472 compared to $58,239, a difference of 6.9%), wage/income gap (22.2% compared to 26.4%, a difference of 19.1%), and householder income over 65 years ($58,761 compared to $70,238, a difference of 19.5%).
Income Metric | Nepalese | Indian (Asian) |
Per Capita Income | Tragic $38,442 | Exceptional $53,874 |
Median Family Income | Tragic $94,153 | Exceptional $125,312 |
Median Household Income | Poor $82,410 | Exceptional $105,262 |
Median Earnings | Tragic $43,860 | Exceptional $56,253 |
Median Male Earnings | Tragic $49,458 | Exceptional $66,078 |
Median Female Earnings | Tragic $38,603 | Exceptional $46,481 |
Householder Age | Under 25 years | Exceptional $54,472 | Exceptional $58,239 |
Householder Age | 25 - 44 years | Poor $91,498 | Exceptional $119,496 |
Householder Age | 45 - 64 years | Tragic $93,355 | Exceptional $122,343 |
Householder Age | Over 65 years | Tragic $58,761 | Exceptional $70,238 |
Wage/Income Gap | Exceptional 22.2% | Poor 26.4% |
Nepalese vs Indian (Asian) Poverty
When considering poverty, the most significant differences between Nepalese and Indian (Asian) communities in the United States are seen in receiving food stamps (14.6% compared to 9.6%, a difference of 51.6%), child poverty among girls under 16 (18.6% compared to 13.3%, a difference of 39.7%), and child poverty under the age of 16 (18.2% compared to 13.1%, a difference of 38.2%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.6% compared to 12.7%, a difference of 0.87%), single father poverty (14.4% compared to 14.8%, a difference of 2.5%), and single male poverty (11.6% compared to 11.3%, a difference of 2.9%).
Poverty Metric | Nepalese | Indian (Asian) |
Poverty | Tragic 14.0% | Exceptional 11.3% |
Families | Tragic 10.4% | Exceptional 7.7% |
Males | Tragic 12.8% | Exceptional 10.4% |
Females | Tragic 15.2% | Exceptional 12.2% |
Females 18 to 24 years | Fair 20.2% | Excellent 19.6% |
Females 25 to 34 years | Tragic 15.2% | Exceptional 11.2% |
Children Under 5 years | Tragic 18.3% | Exceptional 13.4% |
Children Under 16 years | Tragic 18.2% | Exceptional 13.1% |
Boys Under 16 years | Tragic 18.0% | Exceptional 13.3% |
Girls Under 16 years | Tragic 18.6% | Exceptional 13.3% |
Single Males | Exceptional 11.6% | Exceptional 11.3% |
Single Females | Tragic 21.7% | Exceptional 17.9% |
Single Fathers | Exceptional 14.4% | Exceptional 14.8% |
Single Mothers | Fair 29.3% | Exceptional 25.8% |
Married Couples | Tragic 6.5% | Exceptional 4.8% |
Seniors Over 65 years | Tragic 11.5% | Fair 11.1% |
Seniors Over 75 years | Poor 12.6% | Tragic 12.7% |
Receiving Food Stamps | Tragic 14.6% | Exceptional 9.6% |
Nepalese vs Indian (Asian) Unemployment
When considering unemployment, the most significant differences between Nepalese and Indian (Asian) communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 8.0%, a difference of 27.0%), unemployment among ages 35 to 44 years (5.6% compared to 4.4%, a difference of 26.5%), and male unemployment (6.4% compared to 5.2%, a difference of 23.7%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (7.7% compared to 7.7%, a difference of 0.13%), unemployment among seniors over 65 years (5.1% compared to 5.2%, a difference of 0.59%), and unemployment among ages 20 to 24 years (10.6% compared to 10.3%, a difference of 3.2%).
Unemployment Metric | Nepalese | Indian (Asian) |
Unemployment | Tragic 6.2% | Excellent 5.1% |
Males | Tragic 6.4% | Good 5.2% |
Females | Tragic 5.9% | Excellent 5.1% |
Youth < 25 | Tragic 12.5% | Good 11.5% |
Age | 16 to 19 years | Tragic 18.2% | Good 17.3% |
Age | 20 to 24 years | Tragic 10.6% | Good 10.3% |
Age | 25 to 29 years | Tragic 7.5% | Exceptional 6.3% |
Age | 30 to 34 years | Tragic 5.9% | Exceptional 5.1% |
Age | 35 to 44 years | Tragic 5.6% | Exceptional 4.4% |
Age | 45 to 54 years | Tragic 5.0% | Good 4.5% |
Age | 55 to 59 years | Tragic 5.6% | Tragic 4.9% |
Age | 60 to 64 years | Tragic 5.2% | Tragic 5.0% |
Age | 65 to 74 years | Exceptional 5.0% | Average 5.3% |
Seniors > 65 | Good 5.1% | Average 5.2% |
Seniors > 75 | Tragic 10.1% | Exceptional 8.0% |
Women w/ Children < 6 | Average 7.7% | Exceptional 6.3% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Exceptional 7.7% |
Women w/ Children < 18 | Tragic 6.0% | Exceptional 4.9% |
Nepalese vs Indian (Asian) Labor Participation
When considering labor participation, the most significant differences between Nepalese and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (33.5% compared to 31.9%, a difference of 5.2%), in labor force | age 20-24 (74.5% compared to 71.9%, a difference of 3.6%), and in labor force | age 45-54 (80.5% compared to 83.3%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (82.9% compared to 84.7%, a difference of 2.2%), in labor force | age > 16 (63.8% compared to 65.5%, a difference of 2.7%), and in labor force | age 35-44 (82.4% compared to 84.8%, a difference of 2.9%).
Labor Participation Metric | Nepalese | Indian (Asian) |
In Labor Force | Age > 16 | Tragic 63.8% | Excellent 65.5% |
In Labor Force | Age 20-64 | Tragic 77.5% | Excellent 79.9% |
In Labor Force | Age 16-19 | Tragic 33.5% | Tragic 31.9% |
In Labor Force | Age 20-24 | Poor 74.5% | Tragic 71.9% |
In Labor Force | Age 25-29 | Tragic 82.9% | Good 84.7% |
In Labor Force | Age 30-34 | Tragic 82.7% | Exceptional 85.4% |
In Labor Force | Age 35-44 | Tragic 82.4% | Exceptional 84.8% |
In Labor Force | Age 45-54 | Tragic 80.5% | Exceptional 83.3% |
Nepalese vs Indian (Asian) Family Structure
When considering family structure, the most significant differences between Nepalese and Indian (Asian) communities in the United States are seen in single father households (3.1% compared to 1.9%, a difference of 63.6%), single mother households (7.5% compared to 5.1%, a difference of 46.0%), and births to unmarried women (33.5% compared to 25.3%, a difference of 32.7%). Conversely, both communities are more comparable in terms of family households (67.2% compared to 65.1%, a difference of 3.2%), average family size (3.42 compared to 3.24, a difference of 5.5%), and married-couple households (45.6% compared to 48.7%, a difference of 6.9%).
Family Structure Metric | Nepalese | Indian (Asian) |
Family Households | Exceptional 67.2% | Exceptional 65.1% |
Family Households with Children | Exceptional 30.5% | Good 27.6% |
Married-couple Households | Poor 45.6% | Exceptional 48.7% |
Average Family Size | Exceptional 3.42 | Good 3.24 |
Single Father Households | Tragic 3.1% | Exceptional 1.9% |
Single Mother Households | Tragic 7.5% | Exceptional 5.1% |
Currently Married | Tragic 44.7% | Exceptional 48.0% |
Divorced or Separated | Tragic 12.5% | Exceptional 10.2% |
Births to Unmarried Women | Tragic 33.5% | Exceptional 25.3% |
Nepalese vs Indian (Asian) Vehicle Availability
When considering vehicle availability, the most significant differences between Nepalese and Indian (Asian) communities in the United States are seen in no vehicles in household (7.4% compared to 14.1%, a difference of 90.2%), 4 or more vehicles in household (8.7% compared to 6.4%, a difference of 35.9%), and 3 or more vehicles in household (24.9% compared to 19.1%, a difference of 30.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.6% compared to 86.0%, a difference of 7.6%), 2 or more vehicles in household (61.4% compared to 53.1%, a difference of 15.7%), and 3 or more vehicles in household (24.9% compared to 19.1%, a difference of 30.4%).
Vehicle Availability Metric | Nepalese | Indian (Asian) |
No Vehicles Available | Exceptional 7.4% | Tragic 14.1% |
1+ Vehicles Available | Exceptional 92.6% | Tragic 86.0% |
2+ Vehicles Available | Exceptional 61.4% | Tragic 53.1% |
3+ Vehicles Available | Exceptional 24.9% | Fair 19.1% |
4+ Vehicles Available | Exceptional 8.7% | Good 6.4% |
Nepalese vs Indian (Asian) Education Level
When considering education level, the most significant differences between Nepalese and Indian (Asian) communities in the United States are seen in doctorate degree (1.3% compared to 2.9%, a difference of 132.1%), professional degree (3.2% compared to 6.5%, a difference of 101.5%), and master's degree (10.5% compared to 20.5%, a difference of 95.3%). Conversely, both communities are more comparable in terms of 1st grade (96.1% compared to 97.5%, a difference of 1.4%), 2nd grade (96.1% compared to 97.5%, a difference of 1.5%), and nursery school (96.2% compared to 97.6%, a difference of 1.5%).
Education Level Metric | Nepalese | Indian (Asian) |
No Schooling Completed | Tragic 3.8% | Tragic 2.5% |
Nursery School | Tragic 96.2% | Tragic 97.6% |
Kindergarten | Tragic 96.2% | Tragic 97.6% |
1st Grade | Tragic 96.1% | Tragic 97.5% |
2nd Grade | Tragic 96.1% | Tragic 97.5% |
3rd Grade | Tragic 95.9% | Tragic 97.4% |
4th Grade | Tragic 95.5% | Tragic 97.2% |
5th Grade | Tragic 95.2% | Tragic 96.9% |
6th Grade | Tragic 94.9% | Tragic 96.6% |
7th Grade | Tragic 93.2% | Tragic 95.5% |
8th Grade | Tragic 92.8% | Tragic 95.2% |
9th Grade | Tragic 92.0% | Tragic 94.5% |
10th Grade | Tragic 90.7% | Poor 93.4% |
11th Grade | Tragic 89.5% | Average 92.5% |
12th Grade, No Diploma | Tragic 88.1% | Good 91.5% |
High School Diploma | Tragic 85.3% | Good 89.6% |
GED/Equivalency | Tragic 81.9% | Exceptional 87.1% |
College, Under 1 year | Tragic 62.2% | Exceptional 70.8% |
College, 1 year or more | Tragic 54.9% | Exceptional 66.1% |
Associate's Degree | Tragic 39.0% | Exceptional 54.8% |
Bachelor's Degree | Tragic 29.9% | Exceptional 47.4% |
Master's Degree | Tragic 10.5% | Exceptional 20.5% |
Professional Degree | Tragic 3.2% | Exceptional 6.5% |
Doctorate Degree | Tragic 1.3% | Exceptional 2.9% |
Nepalese vs Indian (Asian) Disability
When considering disability, the most significant differences between Nepalese and Indian (Asian) communities in the United States are seen in disability age 35 to 64 (12.8% compared to 8.9%, a difference of 44.8%), disability age 65 to 74 (28.0% compared to 20.5%, a difference of 36.5%), and vision disability (2.4% compared to 1.8%, a difference of 32.2%). Conversely, both communities are more comparable in terms of disability age under 5 (0.97% compared to 1.0%, a difference of 3.0%), cognitive disability (18.0% compared to 16.8%, a difference of 6.7%), and disability age over 75 (52.6% compared to 46.5%, a difference of 13.0%).
Disability Metric | Nepalese | Indian (Asian) |
Disability | Tragic 12.8% | Exceptional 10.3% |
Males | Tragic 12.2% | Exceptional 9.7% |
Females | Tragic 13.3% | Exceptional 10.8% |
Age | Under 5 years | Exceptional 0.97% | Exceptional 1.0% |
Age | 5 to 17 years | Exceptional 5.3% | Exceptional 4.6% |
Age | 18 to 34 years | Tragic 7.1% | Exceptional 5.5% |
Age | 35 to 64 years | Tragic 12.8% | Exceptional 8.9% |
Age | 65 to 74 years | Tragic 28.0% | Exceptional 20.5% |
Age | Over 75 years | Tragic 52.6% | Exceptional 46.5% |
Vision | Tragic 2.4% | Exceptional 1.8% |
Hearing | Tragic 3.3% | Exceptional 2.7% |
Cognitive | Tragic 18.0% | Exceptional 16.8% |
Ambulatory | Tragic 6.6% | Exceptional 5.4% |
Self-Care | Tragic 3.0% | Exceptional 2.3% |