Afghan vs Chinese Community Comparison
COMPARE
Afghan
Chinese
Social Comparison
Social Comparison
Afghans
Chinese
7,658
SOCIAL INDEX
74.1/ 100
SOCIAL RATING
108th/ 347
SOCIAL RANK
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK
Chinese Integration in Afghan Communities
The statistical analysis conducted on geographies consisting of 48,342,546 people shows no correlation between the proportion of Chinese within Afghan communities in the United States with a correlation coefficient (R) of 0.012. On average, for every 1% (one percent) increase in Afghans within a typical geography, there is an increase of 0.001% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Afghans corresponds to an increase of 0.5 Chinese.
Afghan vs Chinese Income
When considering income, the most significant differences between Afghan and Chinese communities in the United States are seen in householder income over 65 years ($68,951 compared to $77,465, a difference of 12.3%), median male earnings ($59,554 compared to $56,872, a difference of 4.7%), and median earnings ($51,112 compared to $48,836, a difference of 4.7%). Conversely, both communities are more comparable in terms of householder income ages 25 - 44 years ($104,410 compared to $104,264, a difference of 0.14%), householder income under 25 years ($58,019 compared to $58,162, a difference of 0.25%), and per capita income ($46,268 compared to $46,098, a difference of 0.37%).
Income Metric | Afghan | Chinese |
Per Capita Income | Exceptional $46,268 | Exceptional $46,098 |
Median Family Income | Exceptional $112,971 | Exceptional $116,188 |
Median Household Income | Exceptional $97,026 | Exceptional $98,496 |
Median Earnings | Exceptional $51,112 | Exceptional $48,836 |
Median Male Earnings | Exceptional $59,554 | Exceptional $56,872 |
Median Female Earnings | Exceptional $43,077 | Exceptional $41,461 |
Householder Age | Under 25 years | Exceptional $58,019 | Exceptional $58,162 |
Householder Age | 25 - 44 years | Exceptional $104,410 | Exceptional $104,264 |
Householder Age | 45 - 64 years | Exceptional $112,676 | Exceptional $116,156 |
Householder Age | Over 65 years | Exceptional $68,951 | Exceptional $77,465 |
Wage/Income Gap | Excellent 24.9% | Average 25.9% |
Afghan vs Chinese Poverty
When considering poverty, the most significant differences between Afghan and Chinese communities in the United States are seen in married-couple family poverty (5.5% compared to 3.6%, a difference of 51.7%), child poverty among boys under 16 (16.3% compared to 11.9%, a difference of 37.7%), and family poverty (8.8% compared to 6.5%, a difference of 35.9%). Conversely, both communities are more comparable in terms of single male poverty (10.7% compared to 11.0%, a difference of 2.6%), receiving food stamps (10.7% compared to 9.8%, a difference of 9.5%), and single father poverty (14.0% compared to 15.4%, a difference of 10.4%).
Poverty Metric | Afghan | Chinese |
Poverty | Good 12.0% | Exceptional 9.5% |
Families | Good 8.8% | Exceptional 6.5% |
Males | Good 10.9% | Exceptional 8.7% |
Females | Good 13.0% | Exceptional 10.4% |
Females 18 to 24 years | Exceptional 19.0% | Exceptional 16.2% |
Females 25 to 34 years | Excellent 13.0% | Exceptional 11.0% |
Children Under 5 years | Good 16.8% | Exceptional 13.1% |
Children Under 16 years | Average 16.2% | Exceptional 11.9% |
Boys Under 16 years | Average 16.3% | Exceptional 11.9% |
Girls Under 16 years | Good 16.2% | Exceptional 12.3% |
Single Males | Exceptional 10.7% | Exceptional 11.0% |
Single Females | Exceptional 19.5% | Exceptional 16.1% |
Single Fathers | Exceptional 14.0% | Exceptional 15.4% |
Single Mothers | Exceptional 27.7% | Exceptional 24.6% |
Married Couples | Poor 5.5% | Exceptional 3.6% |
Seniors Over 65 years | Exceptional 9.8% | Exceptional 8.3% |
Seniors Over 75 years | Exceptional 11.2% | Exceptional 9.1% |
Receiving Food Stamps | Exceptional 10.7% | Exceptional 9.8% |
Afghan vs Chinese Unemployment
When considering unemployment, the most significant differences between Afghan and Chinese communities in the United States are seen in unemployment among seniors over 75 years (9.0% compared to 5.9%, a difference of 52.7%), unemployment among women with children ages 6 to 17 years (7.6% compared to 9.3%, a difference of 22.1%), and unemployment among seniors over 65 years (5.0% compared to 4.2%, a difference of 19.0%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (9.6% compared to 9.4%, a difference of 2.4%), unemployment among women with children under 6 years (7.0% compared to 6.8%, a difference of 2.9%), and unemployment among ages 25 to 29 years (6.4% compared to 6.1%, a difference of 5.0%).
Unemployment Metric | Afghan | Chinese |
Unemployment | Average 5.3% | Exceptional 4.7% |
Males | Good 5.3% | Exceptional 4.9% |
Females | Fair 5.3% | Exceptional 4.5% |
Youth < 25 | Excellent 11.3% | Exceptional 10.7% |
Age | 16 to 19 years | Good 17.4% | Exceptional 16.0% |
Age | 20 to 24 years | Exceptional 9.6% | Exceptional 9.4% |
Age | 25 to 29 years | Exceptional 6.4% | Exceptional 6.1% |
Age | 30 to 34 years | Average 5.5% | Exceptional 5.1% |
Age | 35 to 44 years | Average 4.7% | Exceptional 4.3% |
Age | 45 to 54 years | Excellent 4.4% | Exceptional 4.0% |
Age | 55 to 59 years | Exceptional 4.7% | Exceptional 4.4% |
Age | 60 to 64 years | Exceptional 4.4% | Exceptional 4.0% |
Age | 65 to 74 years | Exceptional 5.2% | Exceptional 4.4% |
Seniors > 65 | Exceptional 5.0% | Exceptional 4.2% |
Seniors > 75 | Tragic 9.0% | Exceptional 5.9% |
Women w/ Children < 6 | Exceptional 7.0% | Exceptional 6.8% |
Women w/ Children 6 to 17 | Exceptional 7.6% | Tragic 9.3% |
Women w/ Children < 18 | Good 5.4% | Exceptional 4.9% |
Afghan vs Chinese Labor Participation
When considering labor participation, the most significant differences between Afghan and Chinese communities in the United States are seen in in labor force | age 16-19 (36.1% compared to 38.6%, a difference of 7.0%), in labor force | age > 16 (67.1% compared to 64.7%, a difference of 3.8%), and in labor force | age 20-24 (75.2% compared to 77.3%, a difference of 2.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.4% compared to 84.3%, a difference of 0.050%), in labor force | age 30-34 (84.7% compared to 85.0%, a difference of 0.34%), and in labor force | age 20-64 (80.3% compared to 80.7%, a difference of 0.48%).
Labor Participation Metric | Afghan | Chinese |
In Labor Force | Age > 16 | Exceptional 67.1% | Tragic 64.7% |
In Labor Force | Age 20-64 | Exceptional 80.3% | Exceptional 80.7% |
In Labor Force | Age 16-19 | Fair 36.1% | Exceptional 38.6% |
In Labor Force | Age 20-24 | Good 75.2% | Exceptional 77.3% |
In Labor Force | Age 25-29 | Poor 84.4% | Poor 84.3% |
In Labor Force | Age 30-34 | Average 84.7% | Excellent 85.0% |
In Labor Force | Age 35-44 | Excellent 84.6% | Exceptional 85.1% |
In Labor Force | Age 45-54 | Exceptional 83.5% | Exceptional 84.1% |
Afghan vs Chinese Family Structure
When considering family structure, the most significant differences between Afghan and Chinese communities in the United States are seen in single mother households (6.3% compared to 5.2%, a difference of 21.9%), single father households (2.3% compared to 2.0%, a difference of 18.5%), and family households with children (30.2% compared to 26.0%, a difference of 16.0%). Conversely, both communities are more comparable in terms of average family size (3.31 compared to 3.34, a difference of 0.80%), family households (66.3% compared to 68.1%, a difference of 2.8%), and divorced or separated (11.5% compared to 11.2%, a difference of 2.9%).
Family Structure Metric | Afghan | Chinese |
Family Households | Exceptional 66.3% | Exceptional 68.1% |
Family Households with Children | Exceptional 30.2% | Tragic 26.0% |
Married-couple Households | Exceptional 48.0% | Exceptional 50.4% |
Average Family Size | Exceptional 3.31 | Exceptional 3.34 |
Single Father Households | Average 2.3% | Exceptional 2.0% |
Single Mother Households | Average 6.3% | Exceptional 5.2% |
Currently Married | Excellent 47.3% | Exceptional 49.5% |
Divorced or Separated | Exceptional 11.5% | Exceptional 11.2% |
Births to Unmarried Women | Exceptional 27.9% | Excellent 30.2% |
Afghan vs Chinese Vehicle Availability
When considering vehicle availability, the most significant differences between Afghan and Chinese communities in the United States are seen in 4 or more vehicles in household (7.3% compared to 8.8%, a difference of 22.0%), 3 or more vehicles in household (21.7% compared to 23.9%, a difference of 10.1%), and no vehicles in household (8.0% compared to 8.2%, a difference of 3.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.1% compared to 91.9%, a difference of 0.28%), 2 or more vehicles in household (59.0% compared to 60.1%, a difference of 1.9%), and no vehicles in household (8.0% compared to 8.2%, a difference of 3.2%).
Vehicle Availability Metric | Afghan | Chinese |
No Vehicles Available | Exceptional 8.0% | Exceptional 8.2% |
1+ Vehicles Available | Exceptional 92.1% | Exceptional 91.9% |
2+ Vehicles Available | Exceptional 59.0% | Exceptional 60.1% |
3+ Vehicles Available | Exceptional 21.7% | Exceptional 23.9% |
4+ Vehicles Available | Exceptional 7.3% | Exceptional 8.8% |
Afghan vs Chinese Education Level
When considering education level, the most significant differences between Afghan and Chinese communities in the United States are seen in no schooling completed (2.6% compared to 1.5%, a difference of 76.5%), master's degree (16.5% compared to 14.6%, a difference of 13.0%), and doctorate degree (2.0% compared to 1.8%, a difference of 11.5%). Conversely, both communities are more comparable in terms of college, 1 year or more (62.0% compared to 62.2%, a difference of 0.31%), associate's degree (48.9% compared to 48.5%, a difference of 0.70%), and college, under 1 year (67.8% compared to 68.3%, a difference of 0.74%).
Education Level Metric | Afghan | Chinese |
No Schooling Completed | Tragic 2.6% | Exceptional 1.5% |
Nursery School | Tragic 97.4% | Exceptional 98.6% |
Kindergarten | Tragic 97.4% | Exceptional 98.5% |
1st Grade | Tragic 97.4% | Exceptional 98.5% |
2nd Grade | Tragic 97.3% | Exceptional 98.5% |
3rd Grade | Tragic 97.1% | Exceptional 98.4% |
4th Grade | Tragic 96.9% | Exceptional 98.3% |
5th Grade | Tragic 96.7% | Exceptional 98.1% |
6th Grade | Tragic 96.4% | Exceptional 97.9% |
7th Grade | Tragic 95.3% | Exceptional 97.1% |
8th Grade | Tragic 94.9% | Exceptional 96.9% |
9th Grade | Tragic 94.2% | Exceptional 96.3% |
10th Grade | Tragic 93.1% | Exceptional 95.5% |
11th Grade | Poor 92.1% | Exceptional 94.6% |
12th Grade, No Diploma | Fair 90.9% | Exceptional 93.6% |
High School Diploma | Fair 88.8% | Exceptional 92.0% |
GED/Equivalency | Average 85.9% | Exceptional 89.0% |
College, Under 1 year | Exceptional 67.8% | Exceptional 68.3% |
College, 1 year or more | Exceptional 62.0% | Exceptional 62.2% |
Associate's Degree | Exceptional 48.9% | Exceptional 48.5% |
Bachelor's Degree | Exceptional 40.8% | Good 38.5% |
Master's Degree | Exceptional 16.5% | Fair 14.6% |
Professional Degree | Excellent 4.7% | Average 4.5% |
Doctorate Degree | Excellent 2.0% | Fair 1.8% |
Afghan vs Chinese Disability
When considering disability, the most significant differences between Afghan and Chinese communities in the United States are seen in hearing disability (2.7% compared to 3.7%, a difference of 34.6%), disability age under 5 (0.94% compared to 1.1%, a difference of 20.8%), and ambulatory disability (5.5% compared to 6.5%, a difference of 18.5%). Conversely, both communities are more comparable in terms of disability age 35 to 64 (10.3% compared to 10.3%, a difference of 0.45%), disability age over 75 (48.4% compared to 48.7%, a difference of 0.66%), and vision disability (2.0% compared to 2.0%, a difference of 3.1%).
Disability Metric | Afghan | Chinese |
Disability | Exceptional 10.8% | Tragic 12.2% |
Males | Exceptional 10.2% | Tragic 12.1% |
Females | Exceptional 11.2% | Fair 12.3% |
Age | Under 5 years | Exceptional 0.94% | Exceptional 1.1% |
Age | 5 to 17 years | Exceptional 5.2% | Exceptional 4.7% |
Age | 18 to 34 years | Exceptional 6.1% | Exceptional 6.3% |
Age | 35 to 64 years | Exceptional 10.3% | Exceptional 10.3% |
Age | 65 to 74 years | Excellent 22.6% | Exceptional 21.7% |
Age | Over 75 years | Tragic 48.4% | Tragic 48.7% |
Vision | Exceptional 2.0% | Exceptional 2.0% |
Hearing | Exceptional 2.7% | Tragic 3.7% |
Cognitive | Fair 17.3% | Exceptional 15.9% |
Ambulatory | Exceptional 5.5% | Tragic 6.5% |
Self-Care | Excellent 2.4% | Tragic 2.6% |