Indian (Asian) vs Soviet Union Community Comparison
COMPARE
Indian (Asian)
Soviet Union
Social Comparison
Social Comparison
Indians (Asian)
Soviet Union
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
7,833
SOCIAL INDEX
75.8/ 100
SOCIAL RATING
103rd/ 347
SOCIAL RANK
Soviet Union Integration in Indian (Asian) Communities
The statistical analysis conducted on geographies consisting of 43,441,009 people shows no correlation between the proportion of Soviet Union within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.017. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.000% in Soviet Union. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 0.2 Soviet Union.
Indian (Asian) vs Soviet Union Income
When considering income, the most significant differences between Indian (Asian) and Soviet Union communities in the United States are seen in householder income over 65 years ($70,238 compared to $62,848, a difference of 11.8%), median household income ($105,262 compared to $95,098, a difference of 10.7%), and householder income ages 25 - 44 years ($119,496 compared to $108,457, a difference of 10.2%). Conversely, both communities are more comparable in terms of median female earnings ($46,481 compared to $46,556, a difference of 0.16%), per capita income ($53,874 compared to $54,202, a difference of 0.61%), and median earnings ($56,253 compared to $54,290, a difference of 3.6%).
Income Metric | Indian (Asian) | Soviet Union |
Per Capita Income | Exceptional $53,874 | Exceptional $54,202 |
Median Family Income | Exceptional $125,312 | Exceptional $119,262 |
Median Household Income | Exceptional $105,262 | Exceptional $95,098 |
Median Earnings | Exceptional $56,253 | Exceptional $54,290 |
Median Male Earnings | Exceptional $66,078 | Exceptional $63,382 |
Median Female Earnings | Exceptional $46,481 | Exceptional $46,556 |
Householder Age | Under 25 years | Exceptional $58,239 | Exceptional $55,340 |
Householder Age | 25 - 44 years | Exceptional $119,496 | Exceptional $108,457 |
Householder Age | 45 - 64 years | Exceptional $122,343 | Exceptional $112,008 |
Householder Age | Over 65 years | Exceptional $70,238 | Excellent $62,848 |
Wage/Income Gap | Poor 26.4% | Exceptional 24.2% |
Indian (Asian) vs Soviet Union Poverty
When considering poverty, the most significant differences between Indian (Asian) and Soviet Union communities in the United States are seen in receiving food stamps (9.6% compared to 11.1%, a difference of 15.1%), seniors poverty over the age of 75 (12.7% compared to 14.5%, a difference of 13.5%), and seniors poverty over the age of 65 (11.1% compared to 12.6%, a difference of 13.1%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.6% compared to 19.5%, a difference of 0.53%), married-couple family poverty (4.8% compared to 4.9%, a difference of 1.1%), and single male poverty (11.3% compared to 11.5%, a difference of 1.9%).
Poverty Metric | Indian (Asian) | Soviet Union |
Poverty | Exceptional 11.3% | Excellent 11.7% |
Families | Exceptional 7.7% | Exceptional 8.3% |
Males | Exceptional 10.4% | Good 11.1% |
Females | Exceptional 12.2% | Exceptional 12.6% |
Females 18 to 24 years | Excellent 19.6% | Exceptional 19.5% |
Females 25 to 34 years | Exceptional 11.2% | Exceptional 12.1% |
Children Under 5 years | Exceptional 13.4% | Exceptional 14.7% |
Children Under 16 years | Exceptional 13.1% | Exceptional 14.5% |
Boys Under 16 years | Exceptional 13.3% | Exceptional 14.5% |
Girls Under 16 years | Exceptional 13.3% | Exceptional 14.8% |
Single Males | Exceptional 11.3% | Exceptional 11.5% |
Single Females | Exceptional 17.9% | Exceptional 19.6% |
Single Fathers | Exceptional 14.8% | Exceptional 14.3% |
Single Mothers | Exceptional 25.8% | Exceptional 27.3% |
Married Couples | Exceptional 4.8% | Exceptional 4.9% |
Seniors Over 65 years | Fair 11.1% | Tragic 12.6% |
Seniors Over 75 years | Tragic 12.7% | Tragic 14.5% |
Receiving Food Stamps | Exceptional 9.6% | Excellent 11.1% |
Indian (Asian) vs Soviet Union Unemployment
When considering unemployment, the most significant differences between Indian (Asian) and Soviet Union communities in the United States are seen in unemployment among seniors over 75 years (8.0% compared to 6.6%, a difference of 19.8%), unemployment among ages 20 to 24 years (10.3% compared to 11.7%, a difference of 14.5%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 7.1%, a difference of 9.0%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 0.49%), unemployment among ages 65 to 74 years (5.3% compared to 5.4%, a difference of 0.68%), and unemployment among ages 25 to 29 years (6.3% compared to 6.2%, a difference of 1.2%).
Unemployment Metric | Indian (Asian) | Soviet Union |
Unemployment | Excellent 5.1% | Poor 5.4% |
Males | Good 5.2% | Tragic 5.6% |
Females | Excellent 5.1% | Fair 5.4% |
Youth < 25 | Good 11.5% | Tragic 12.2% |
Age | 16 to 19 years | Good 17.3% | Exceptional 16.8% |
Age | 20 to 24 years | Good 10.3% | Tragic 11.7% |
Age | 25 to 29 years | Exceptional 6.3% | Exceptional 6.2% |
Age | 30 to 34 years | Exceptional 5.1% | Exceptional 5.0% |
Age | 35 to 44 years | Exceptional 4.4% | Poor 4.8% |
Age | 45 to 54 years | Good 4.5% | Tragic 4.7% |
Age | 55 to 59 years | Tragic 4.9% | Tragic 5.1% |
Age | 60 to 64 years | Tragic 5.0% | Tragic 5.4% |
Age | 65 to 74 years | Average 5.3% | Fair 5.4% |
Seniors > 65 | Average 5.2% | Exceptional 5.1% |
Seniors > 75 | Exceptional 8.0% | Exceptional 6.6% |
Women w/ Children < 6 | Exceptional 6.3% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Exceptional 7.7% | Exceptional 7.1% |
Women w/ Children < 18 | Exceptional 4.9% | Exceptional 4.9% |
Indian (Asian) vs Soviet Union Labor Participation
When considering labor participation, the most significant differences between Indian (Asian) and Soviet Union communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 31.4%, a difference of 1.4%), in labor force | age > 16 (65.5% compared to 65.0%, a difference of 0.71%), and in labor force | age 25-29 (84.7% compared to 85.3%, a difference of 0.69%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.5%, a difference of 0.10%), in labor force | age 35-44 (84.8% compared to 85.1%, a difference of 0.34%), and in labor force | age 45-54 (83.3% compared to 83.0%, a difference of 0.41%).
Labor Participation Metric | Indian (Asian) | Soviet Union |
In Labor Force | Age > 16 | Excellent 65.5% | Average 65.0% |
In Labor Force | Age 20-64 | Excellent 79.9% | Exceptional 80.2% |
In Labor Force | Age 16-19 | Tragic 31.9% | Tragic 31.4% |
In Labor Force | Age 20-24 | Tragic 71.9% | Tragic 72.3% |
In Labor Force | Age 25-29 | Good 84.7% | Exceptional 85.3% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Exceptional 85.5% |
In Labor Force | Age 35-44 | Exceptional 84.8% | Exceptional 85.1% |
In Labor Force | Age 45-54 | Exceptional 83.3% | Good 83.0% |
Indian (Asian) vs Soviet Union Family Structure
When considering family structure, the most significant differences between Indian (Asian) and Soviet Union communities in the United States are seen in family households with children (27.6% compared to 24.8%, a difference of 11.0%), divorced or separated (10.2% compared to 11.1%, a difference of 9.3%), and married-couple households (48.7% compared to 44.6%, a difference of 9.1%). Conversely, both communities are more comparable in terms of single mother households (5.1% compared to 5.1%, a difference of 0.21%), currently married (48.0% compared to 46.2%, a difference of 3.9%), and births to unmarried women (25.3% compared to 26.3%, a difference of 4.1%).
Family Structure Metric | Indian (Asian) | Soviet Union |
Family Households | Exceptional 65.1% | Tragic 60.9% |
Family Households with Children | Good 27.6% | Tragic 24.8% |
Married-couple Households | Exceptional 48.7% | Tragic 44.6% |
Average Family Size | Good 3.24 | Tragic 3.11 |
Single Father Households | Exceptional 1.9% | Exceptional 1.8% |
Single Mother Households | Exceptional 5.1% | Exceptional 5.1% |
Currently Married | Exceptional 48.0% | Fair 46.2% |
Divorced or Separated | Exceptional 10.2% | Exceptional 11.1% |
Births to Unmarried Women | Exceptional 25.3% | Exceptional 26.3% |
Indian (Asian) vs Soviet Union Vehicle Availability
When considering vehicle availability, the most significant differences between Indian (Asian) and Soviet Union communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 4.4%, a difference of 45.4%), 3 or more vehicles in household (19.1% compared to 14.2%, a difference of 34.8%), and no vehicles in household (14.1% compared to 17.4%, a difference of 23.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 82.7%, a difference of 4.1%), 2 or more vehicles in household (53.1% compared to 45.7%, a difference of 16.1%), and no vehicles in household (14.1% compared to 17.4%, a difference of 23.9%).
Vehicle Availability Metric | Indian (Asian) | Soviet Union |
No Vehicles Available | Tragic 14.1% | Tragic 17.4% |
1+ Vehicles Available | Tragic 86.0% | Tragic 82.7% |
2+ Vehicles Available | Tragic 53.1% | Tragic 45.7% |
3+ Vehicles Available | Fair 19.1% | Tragic 14.2% |
4+ Vehicles Available | Good 6.4% | Tragic 4.4% |
Indian (Asian) vs Soviet Union Education Level
When considering education level, the most significant differences between Indian (Asian) and Soviet Union communities in the United States are seen in no schooling completed (2.5% compared to 2.0%, a difference of 23.4%), doctorate degree (2.9% compared to 2.5%, a difference of 17.3%), and high school diploma (89.6% compared to 90.9%, a difference of 1.5%). Conversely, both communities are more comparable in terms of master's degree (20.5% compared to 20.5%, a difference of 0.37%), nursery school (97.6% compared to 98.0%, a difference of 0.42%), and kindergarten (97.6% compared to 98.0%, a difference of 0.42%).
Education Level Metric | Indian (Asian) | Soviet Union |
No Schooling Completed | Tragic 2.5% | Good 2.0% |
Nursery School | Tragic 97.6% | Good 98.0% |
Kindergarten | Tragic 97.6% | Good 98.0% |
1st Grade | Tragic 97.5% | Good 98.0% |
2nd Grade | Tragic 97.5% | Good 97.9% |
3rd Grade | Tragic 97.4% | Good 97.8% |
4th Grade | Tragic 97.2% | Good 97.6% |
5th Grade | Tragic 96.9% | Excellent 97.5% |
6th Grade | Tragic 96.6% | Good 97.2% |
7th Grade | Tragic 95.5% | Exceptional 96.4% |
8th Grade | Tragic 95.2% | Exceptional 96.1% |
9th Grade | Tragic 94.5% | Exceptional 95.4% |
10th Grade | Poor 93.4% | Exceptional 94.6% |
11th Grade | Average 92.5% | Exceptional 93.7% |
12th Grade, No Diploma | Good 91.5% | Exceptional 92.7% |
High School Diploma | Good 89.6% | Exceptional 90.9% |
GED/Equivalency | Exceptional 87.1% | Exceptional 88.0% |
College, Under 1 year | Exceptional 70.8% | Exceptional 71.1% |
College, 1 year or more | Exceptional 66.1% | Exceptional 66.4% |
Associate's Degree | Exceptional 54.8% | Exceptional 55.1% |
Bachelor's Degree | Exceptional 47.4% | Exceptional 47.9% |
Master's Degree | Exceptional 20.5% | Exceptional 20.5% |
Professional Degree | Exceptional 6.5% | Exceptional 6.6% |
Doctorate Degree | Exceptional 2.9% | Exceptional 2.5% |
Indian (Asian) vs Soviet Union Disability
When considering disability, the most significant differences between Indian (Asian) and Soviet Union communities in the United States are seen in vision disability (1.8% compared to 2.0%, a difference of 10.3%), disability age 5 to 17 (4.6% compared to 5.0%, a difference of 8.9%), and female disability (10.8% compared to 11.7%, a difference of 8.8%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 46.2%, a difference of 0.73%), cognitive disability (16.8% compared to 16.5%, a difference of 2.0%), and disability age 65 to 74 (20.5% compared to 21.0%, a difference of 2.1%).
Disability Metric | Indian (Asian) | Soviet Union |
Disability | Exceptional 10.3% | Exceptional 10.9% |
Males | Exceptional 9.7% | Exceptional 10.1% |
Females | Exceptional 10.8% | Exceptional 11.7% |
Age | Under 5 years | Exceptional 1.0% | Exceptional 0.95% |
Age | 5 to 17 years | Exceptional 4.6% | Exceptional 5.0% |
Age | 18 to 34 years | Exceptional 5.5% | Exceptional 5.7% |
Age | 35 to 64 years | Exceptional 8.9% | Exceptional 9.2% |
Age | 65 to 74 years | Exceptional 20.5% | Exceptional 21.0% |
Age | Over 75 years | Exceptional 46.5% | Exceptional 46.2% |
Vision | Exceptional 1.8% | Exceptional 2.0% |
Hearing | Exceptional 2.7% | Excellent 2.9% |
Cognitive | Exceptional 16.8% | Exceptional 16.5% |
Ambulatory | Exceptional 5.4% | Exceptional 5.8% |
Self-Care | Exceptional 2.3% | Fair 2.5% |