Indian (Asian) vs Asian Community Comparison
COMPARE
Indian (Asian)
Asian
Social Comparison
Social Comparison
Indians (Asian)
Asians
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK
Asian Integration in Indian (Asian) Communities
The statistical analysis conducted on geographies consisting of 493,440,229 people shows a very strong positive correlation between the proportion of Asians within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.875. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.969% in Asians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 968.7 Asians.
Indian (Asian) vs Asian Income
When considering income, the most significant differences between Indian (Asian) and Asian communities in the United States are seen in per capita income ($53,874 compared to $50,057, a difference of 7.6%), householder income ages 25 - 44 years ($119,496 compared to $112,666, a difference of 6.1%), and median earnings ($56,253 compared to $53,690, a difference of 4.8%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 26.9%, a difference of 1.8%), householder income over 65 years ($70,238 compared to $68,822, a difference of 2.1%), and householder income under 25 years ($58,239 compared to $57,003, a difference of 2.2%).
Income Metric | Indian (Asian) | Asian |
Per Capita Income | Exceptional $53,874 | Exceptional $50,057 |
Median Family Income | Exceptional $125,312 | Exceptional $119,955 |
Median Household Income | Exceptional $105,262 | Exceptional $101,681 |
Median Earnings | Exceptional $56,253 | Exceptional $53,690 |
Median Male Earnings | Exceptional $66,078 | Exceptional $63,827 |
Median Female Earnings | Exceptional $46,481 | Exceptional $44,586 |
Householder Age | Under 25 years | Exceptional $58,239 | Exceptional $57,003 |
Householder Age | 25 - 44 years | Exceptional $119,496 | Exceptional $112,666 |
Householder Age | 45 - 64 years | Exceptional $122,343 | Exceptional $118,426 |
Householder Age | Over 65 years | Exceptional $70,238 | Exceptional $68,822 |
Wage/Income Gap | Poor 26.4% | Tragic 26.9% |
Indian (Asian) vs Asian Poverty
When considering poverty, the most significant differences between Indian (Asian) and Asian communities in the United States are seen in female poverty among 18-24 year olds (19.6% compared to 18.2%, a difference of 7.8%), seniors poverty over the age of 65 (11.1% compared to 10.4%, a difference of 6.6%), and seniors poverty over the age of 75 (12.7% compared to 12.0%, a difference of 6.1%). Conversely, both communities are more comparable in terms of family poverty (7.7% compared to 7.7%, a difference of 0.23%), single male poverty (11.3% compared to 11.2%, a difference of 0.50%), and receiving food stamps (9.6% compared to 9.7%, a difference of 0.56%).
Poverty Metric | Indian (Asian) | Asian |
Poverty | Exceptional 11.3% | Exceptional 11.0% |
Families | Exceptional 7.7% | Exceptional 7.7% |
Males | Exceptional 10.4% | Exceptional 10.0% |
Females | Exceptional 12.2% | Exceptional 11.9% |
Females 18 to 24 years | Excellent 19.6% | Exceptional 18.2% |
Females 25 to 34 years | Exceptional 11.2% | Exceptional 11.4% |
Children Under 5 years | Exceptional 13.4% | Exceptional 14.0% |
Children Under 16 years | Exceptional 13.1% | Exceptional 13.5% |
Boys Under 16 years | Exceptional 13.3% | Exceptional 13.5% |
Girls Under 16 years | Exceptional 13.3% | Exceptional 13.7% |
Single Males | Exceptional 11.3% | Exceptional 11.2% |
Single Females | Exceptional 17.9% | Exceptional 18.3% |
Single Fathers | Exceptional 14.8% | Exceptional 14.6% |
Single Mothers | Exceptional 25.8% | Exceptional 26.0% |
Married Couples | Exceptional 4.8% | Exceptional 4.7% |
Seniors Over 65 years | Fair 11.1% | Excellent 10.4% |
Seniors Over 75 years | Tragic 12.7% | Good 12.0% |
Receiving Food Stamps | Exceptional 9.6% | Exceptional 9.7% |
Indian (Asian) vs Asian Unemployment
When considering unemployment, the most significant differences between Indian (Asian) and Asian communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 6.7%, a difference of 6.0%), unemployment among ages 55 to 59 years (4.9% compared to 4.7%, a difference of 5.0%), and unemployment among seniors over 75 years (8.0% compared to 8.3%, a difference of 3.6%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.1% compared to 5.1%, a difference of 0.12%), female unemployment (5.1% compared to 5.2%, a difference of 0.59%), and unemployment among ages 20 to 24 years (10.3% compared to 10.2%, a difference of 0.68%).
Unemployment Metric | Indian (Asian) | Asian |
Unemployment | Excellent 5.1% | Excellent 5.1% |
Males | Good 5.2% | Exceptional 5.1% |
Females | Excellent 5.1% | Good 5.2% |
Youth < 25 | Good 11.5% | Good 11.4% |
Age | 16 to 19 years | Good 17.3% | Exceptional 16.9% |
Age | 20 to 24 years | Good 10.3% | Good 10.2% |
Age | 25 to 29 years | Exceptional 6.3% | Exceptional 6.3% |
Age | 30 to 34 years | Exceptional 5.1% | Exceptional 5.1% |
Age | 35 to 44 years | Exceptional 4.4% | Exceptional 4.4% |
Age | 45 to 54 years | Good 4.5% | Exceptional 4.3% |
Age | 55 to 59 years | Tragic 4.9% | Exceptional 4.7% |
Age | 60 to 64 years | Tragic 5.0% | Average 4.9% |
Age | 65 to 74 years | Average 5.3% | Exceptional 5.3% |
Seniors > 65 | Average 5.2% | Excellent 5.1% |
Seniors > 75 | Exceptional 8.0% | Exceptional 8.3% |
Women w/ Children < 6 | Exceptional 6.3% | Exceptional 6.7% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Exceptional 8.0% |
Women w/ Children < 18 | Exceptional 4.9% | Exceptional 5.1% |
Indian (Asian) vs Asian Labor Participation
When considering labor participation, the most significant differences between Indian (Asian) and Asian communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 34.1%, a difference of 6.9%), in labor force | age 20-24 (71.9% compared to 73.7%, a difference of 2.5%), and in labor force | age > 16 (65.5% compared to 66.2%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.8%, a difference of 0.14%), in labor force | age 35-44 (84.8% compared to 84.7%, a difference of 0.15%), and in labor force | age 45-54 (83.3% compared to 83.4%, a difference of 0.16%).
Labor Participation Metric | Indian (Asian) | Asian |
In Labor Force | Age > 16 | Excellent 65.5% | Exceptional 66.2% |
In Labor Force | Age 20-64 | Excellent 79.9% | Exceptional 80.2% |
In Labor Force | Age 16-19 | Tragic 31.9% | Tragic 34.1% |
In Labor Force | Age 20-24 | Tragic 71.9% | Tragic 73.7% |
In Labor Force | Age 25-29 | Good 84.7% | Good 84.8% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Exceptional 85.1% |
In Labor Force | Age 35-44 | Exceptional 84.8% | Exceptional 84.7% |
In Labor Force | Age 45-54 | Exceptional 83.3% | Exceptional 83.4% |
Indian (Asian) vs Asian Family Structure
When considering family structure, the most significant differences between Indian (Asian) and Asian communities in the United States are seen in single father households (1.9% compared to 2.1%, a difference of 10.2%), single mother households (5.1% compared to 5.6%, a difference of 9.5%), and births to unmarried women (25.3% compared to 26.8%, a difference of 6.0%). Conversely, both communities are more comparable in terms of currently married (48.0% compared to 48.4%, a difference of 0.92%), average family size (3.24 compared to 3.28, a difference of 1.1%), and married-couple households (48.7% compared to 49.5%, a difference of 1.6%).
Family Structure Metric | Indian (Asian) | Asian |
Family Households | Exceptional 65.1% | Exceptional 66.5% |
Family Households with Children | Good 27.6% | Exceptional 29.1% |
Married-couple Households | Exceptional 48.7% | Exceptional 49.5% |
Average Family Size | Good 3.24 | Exceptional 3.28 |
Single Father Households | Exceptional 1.9% | Exceptional 2.1% |
Single Mother Households | Exceptional 5.1% | Exceptional 5.6% |
Currently Married | Exceptional 48.0% | Exceptional 48.4% |
Divorced or Separated | Exceptional 10.2% | Exceptional 10.6% |
Births to Unmarried Women | Exceptional 25.3% | Exceptional 26.8% |
Indian (Asian) vs Asian Vehicle Availability
When considering vehicle availability, the most significant differences between Indian (Asian) and Asian communities in the United States are seen in no vehicles in household (14.1% compared to 9.0%, a difference of 56.7%), 4 or more vehicles in household (6.4% compared to 7.0%, a difference of 9.0%), and 3 or more vehicles in household (19.1% compared to 20.8%, a difference of 8.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 91.1%, a difference of 5.9%), 2 or more vehicles in household (53.1% compared to 57.0%, a difference of 7.3%), and 3 or more vehicles in household (19.1% compared to 20.8%, a difference of 8.6%).
Vehicle Availability Metric | Indian (Asian) | Asian |
No Vehicles Available | Tragic 14.1% | Exceptional 9.0% |
1+ Vehicles Available | Tragic 86.0% | Exceptional 91.1% |
2+ Vehicles Available | Tragic 53.1% | Exceptional 57.0% |
3+ Vehicles Available | Fair 19.1% | Exceptional 20.8% |
4+ Vehicles Available | Good 6.4% | Exceptional 7.0% |
Indian (Asian) vs Asian Education Level
When considering education level, the most significant differences between Indian (Asian) and Asian communities in the United States are seen in doctorate degree (2.9% compared to 2.4%, a difference of 19.8%), professional degree (6.5% compared to 5.5%, a difference of 18.4%), and master's degree (20.5% compared to 18.4%, a difference of 10.9%). Conversely, both communities are more comparable in terms of 5th grade (96.9% compared to 96.9%, a difference of 0.0%), nursery school (97.6% compared to 97.6%, a difference of 0.010%), and kindergarten (97.6% compared to 97.6%, a difference of 0.010%).
Education Level Metric | Indian (Asian) | Asian |
No Schooling Completed | Tragic 2.5% | Tragic 2.4% |
Nursery School | Tragic 97.6% | Tragic 97.6% |
Kindergarten | Tragic 97.6% | Tragic 97.6% |
1st Grade | Tragic 97.5% | Tragic 97.6% |
2nd Grade | Tragic 97.5% | Tragic 97.5% |
3rd Grade | Tragic 97.4% | Tragic 97.4% |
4th Grade | Tragic 97.2% | Tragic 97.1% |
5th Grade | Tragic 96.9% | Tragic 96.9% |
6th Grade | Tragic 96.6% | Tragic 96.6% |
7th Grade | Tragic 95.5% | Tragic 95.5% |
8th Grade | Tragic 95.2% | Tragic 95.2% |
9th Grade | Tragic 94.5% | Tragic 94.5% |
10th Grade | Poor 93.4% | Fair 93.5% |
11th Grade | Average 92.5% | Average 92.5% |
12th Grade, No Diploma | Good 91.5% | Good 91.4% |
High School Diploma | Good 89.6% | Good 89.4% |
GED/Equivalency | Exceptional 87.1% | Exceptional 86.7% |
College, Under 1 year | Exceptional 70.8% | Exceptional 69.4% |
College, 1 year or more | Exceptional 66.1% | Exceptional 64.2% |
Associate's Degree | Exceptional 54.8% | Exceptional 52.1% |
Bachelor's Degree | Exceptional 47.4% | Exceptional 44.4% |
Master's Degree | Exceptional 20.5% | Exceptional 18.4% |
Professional Degree | Exceptional 6.5% | Exceptional 5.5% |
Doctorate Degree | Exceptional 2.9% | Exceptional 2.4% |
Indian (Asian) vs Asian Disability
When considering disability, the most significant differences between Indian (Asian) and Asian communities in the United States are seen in disability age under 5 (1.0% compared to 1.1%, a difference of 8.3%), disability age 35 to 64 (8.9% compared to 9.4%, a difference of 6.0%), and disability age 5 to 17 (4.6% compared to 4.8%, a difference of 5.2%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 16.7%, a difference of 0.57%), self-care disability (2.3% compared to 2.3%, a difference of 0.58%), and ambulatory disability (5.4% compared to 5.4%, a difference of 0.80%).
Disability Metric | Indian (Asian) | Asian |
Disability | Exceptional 10.3% | Exceptional 10.4% |
Males | Exceptional 9.7% | Exceptional 10.0% |
Females | Exceptional 10.8% | Exceptional 10.9% |
Age | Under 5 years | Exceptional 1.0% | Exceptional 1.1% |
Age | 5 to 17 years | Exceptional 4.6% | Exceptional 4.8% |
Age | 18 to 34 years | Exceptional 5.5% | Exceptional 5.8% |
Age | 35 to 64 years | Exceptional 8.9% | Exceptional 9.4% |
Age | 65 to 74 years | Exceptional 20.5% | Exceptional 21.4% |
Age | Over 75 years | Exceptional 46.5% | Excellent 46.9% |
Vision | Exceptional 1.8% | Exceptional 1.9% |
Hearing | Exceptional 2.7% | Exceptional 2.7% |
Cognitive | Exceptional 16.8% | Exceptional 16.7% |
Ambulatory | Exceptional 5.4% | Exceptional 5.4% |
Self-Care | Exceptional 2.3% | Exceptional 2.3% |