Chinese vs Subsaharan African Community Comparison
COMPARE
Chinese
Subsaharan African
Social Comparison
Social Comparison
Chinese
Sub-Saharan Africans
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK
977
SOCIAL INDEX
7.3/ 100
SOCIAL RATING
330th/ 347
SOCIAL RANK
Subsaharan African Integration in Chinese Communities
The statistical analysis conducted on geographies consisting of 63,983,932 people shows a substantial positive correlation between the proportion of Sub-Saharan Africans within Chinese communities in the United States with a correlation coefficient (R) of 0.515. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 1.682% in Sub-Saharan Africans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to an increase of 1,682.1 Sub-Saharan Africans.
Chinese vs Subsaharan African Income
When considering income, the most significant differences between Chinese and Subsaharan African communities in the United States are seen in householder income over 65 years ($77,465 compared to $56,615, a difference of 36.8%), householder income ages 45 - 64 years ($116,156 compared to $90,691, a difference of 28.1%), and median household income ($98,496 compared to $77,631, a difference of 26.9%). Conversely, both communities are more comparable in terms of median female earnings ($41,461 compared to $38,391, a difference of 8.0%), median earnings ($48,836 compared to $44,118, a difference of 10.7%), and median male earnings ($56,872 compared to $50,408, a difference of 12.8%).
Income Metric | Chinese | Subsaharan African |
Per Capita Income | Exceptional $46,098 | Tragic $40,152 |
Median Family Income | Exceptional $116,188 | Tragic $93,748 |
Median Household Income | Exceptional $98,496 | Tragic $77,631 |
Median Earnings | Exceptional $48,836 | Tragic $44,118 |
Median Male Earnings | Exceptional $56,872 | Tragic $50,408 |
Median Female Earnings | Exceptional $41,461 | Tragic $38,391 |
Householder Age | Under 25 years | Exceptional $58,162 | Tragic $48,691 |
Householder Age | 25 - 44 years | Exceptional $104,264 | Tragic $84,235 |
Householder Age | 45 - 64 years | Exceptional $116,156 | Tragic $90,691 |
Householder Age | Over 65 years | Exceptional $77,465 | Tragic $56,615 |
Wage/Income Gap | Average 25.9% | Exceptional 22.8% |
Chinese vs Subsaharan African Poverty
When considering poverty, the most significant differences between Chinese and Subsaharan African communities in the United States are seen in child poverty among boys under 16 (11.9% compared to 20.0%, a difference of 68.4%), child poverty under the age of 16 (11.9% compared to 19.9%, a difference of 66.9%), and family poverty (6.5% compared to 10.9%, a difference of 66.8%). Conversely, both communities are more comparable in terms of single father poverty (15.4% compared to 16.9%, a difference of 9.9%), single male poverty (11.0% compared to 13.7%, a difference of 24.7%), and single mother poverty (24.6% compared to 31.4%, a difference of 27.4%).
Poverty Metric | Chinese | Subsaharan African |
Poverty | Exceptional 9.5% | Tragic 14.5% |
Families | Exceptional 6.5% | Tragic 10.9% |
Males | Exceptional 8.7% | Tragic 13.3% |
Females | Exceptional 10.4% | Tragic 15.8% |
Females 18 to 24 years | Exceptional 16.2% | Tragic 22.0% |
Females 25 to 34 years | Exceptional 11.0% | Tragic 15.6% |
Children Under 5 years | Exceptional 13.1% | Tragic 20.8% |
Children Under 16 years | Exceptional 11.9% | Tragic 19.9% |
Boys Under 16 years | Exceptional 11.9% | Tragic 20.0% |
Girls Under 16 years | Exceptional 12.3% | Tragic 20.1% |
Single Males | Exceptional 11.0% | Tragic 13.7% |
Single Females | Exceptional 16.1% | Tragic 23.2% |
Single Fathers | Exceptional 15.4% | Tragic 16.9% |
Single Mothers | Exceptional 24.6% | Tragic 31.4% |
Married Couples | Exceptional 3.6% | Tragic 5.7% |
Seniors Over 65 years | Exceptional 8.3% | Tragic 12.1% |
Seniors Over 75 years | Exceptional 9.1% | Tragic 13.2% |
Receiving Food Stamps | Exceptional 9.8% | Tragic 14.1% |
Chinese vs Subsaharan African Unemployment
When considering unemployment, the most significant differences between Chinese and Subsaharan African communities in the United States are seen in unemployment among seniors over 75 years (5.9% compared to 9.2%, a difference of 55.3%), female unemployment (4.5% compared to 5.7%, a difference of 27.2%), and unemployment among women with children under 18 years (4.9% compared to 6.2%, a difference of 25.2%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.3% compared to 10.0%, a difference of 8.1%), unemployment among ages 55 to 59 years (4.4% compared to 5.0%, a difference of 12.8%), and unemployment among ages 16 to 19 years (16.0% compared to 18.7%, a difference of 16.7%).
Unemployment Metric | Chinese | Subsaharan African |
Unemployment | Exceptional 4.7% | Tragic 5.8% |
Males | Exceptional 4.9% | Tragic 6.0% |
Females | Exceptional 4.5% | Tragic 5.7% |
Youth < 25 | Exceptional 10.7% | Tragic 12.6% |
Age | 16 to 19 years | Exceptional 16.0% | Tragic 18.7% |
Age | 20 to 24 years | Exceptional 9.4% | Tragic 11.1% |
Age | 25 to 29 years | Exceptional 6.1% | Tragic 7.2% |
Age | 30 to 34 years | Exceptional 5.1% | Tragic 6.0% |
Age | 35 to 44 years | Exceptional 4.3% | Tragic 5.3% |
Age | 45 to 54 years | Exceptional 4.0% | Tragic 4.9% |
Age | 55 to 59 years | Exceptional 4.4% | Tragic 5.0% |
Age | 60 to 64 years | Exceptional 4.0% | Fair 4.9% |
Age | 65 to 74 years | Exceptional 4.4% | Poor 5.4% |
Seniors > 65 | Exceptional 4.2% | Poor 5.2% |
Seniors > 75 | Exceptional 5.9% | Tragic 9.2% |
Women w/ Children < 6 | Exceptional 6.8% | Tragic 8.4% |
Women w/ Children 6 to 17 | Tragic 9.3% | Tragic 10.0% |
Women w/ Children < 18 | Exceptional 4.9% | Tragic 6.2% |
Chinese vs Subsaharan African Labor Participation
When considering labor participation, the most significant differences between Chinese and Subsaharan African communities in the United States are seen in in labor force | age 45-54 (84.1% compared to 82.0%, a difference of 2.7%), in labor force | age > 16 (64.7% compared to 66.2%, a difference of 2.4%), and in labor force | age 20-24 (77.3% compared to 75.7%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.3% compared to 84.3%, a difference of 0.020%), in labor force | age 16-19 (38.6% compared to 38.4%, a difference of 0.43%), and in labor force | age 30-34 (85.0% compared to 84.5%, a difference of 0.64%).
Labor Participation Metric | Chinese | Subsaharan African |
In Labor Force | Age > 16 | Tragic 64.7% | Exceptional 66.2% |
In Labor Force | Age 20-64 | Exceptional 80.7% | Poor 79.3% |
In Labor Force | Age 16-19 | Exceptional 38.6% | Exceptional 38.4% |
In Labor Force | Age 20-24 | Exceptional 77.3% | Exceptional 75.7% |
In Labor Force | Age 25-29 | Poor 84.3% | Poor 84.3% |
In Labor Force | Age 30-34 | Excellent 85.0% | Poor 84.5% |
In Labor Force | Age 35-44 | Exceptional 85.1% | Tragic 84.1% |
In Labor Force | Age 45-54 | Exceptional 84.1% | Tragic 82.0% |
Chinese vs Subsaharan African Family Structure
When considering family structure, the most significant differences between Chinese and Subsaharan African communities in the United States are seen in single mother households (5.2% compared to 7.8%, a difference of 51.2%), single father households (2.0% compared to 2.4%, a difference of 23.8%), and births to unmarried women (30.2% compared to 36.7%, a difference of 21.2%). Conversely, both communities are more comparable in terms of average family size (3.34 compared to 3.25, a difference of 2.8%), family households with children (26.0% compared to 27.6%, a difference of 6.0%), and family households (68.1% compared to 62.1%, a difference of 9.8%).
Family Structure Metric | Chinese | Subsaharan African |
Family Households | Exceptional 68.1% | Tragic 62.1% |
Family Households with Children | Tragic 26.0% | Good 27.6% |
Married-couple Households | Exceptional 50.4% | Tragic 41.6% |
Average Family Size | Exceptional 3.34 | Excellent 3.25 |
Single Father Households | Exceptional 2.0% | Tragic 2.4% |
Single Mother Households | Exceptional 5.2% | Tragic 7.8% |
Currently Married | Exceptional 49.5% | Tragic 42.6% |
Divorced or Separated | Exceptional 11.2% | Tragic 12.7% |
Births to Unmarried Women | Excellent 30.2% | Tragic 36.7% |
Chinese vs Subsaharan African Vehicle Availability
When considering vehicle availability, the most significant differences between Chinese and Subsaharan African communities in the United States are seen in 4 or more vehicles in household (8.8% compared to 5.7%, a difference of 55.0%), no vehicles in household (8.2% compared to 12.2%, a difference of 48.5%), and 3 or more vehicles in household (23.9% compared to 17.9%, a difference of 33.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.9% compared to 87.9%, a difference of 4.5%), 2 or more vehicles in household (60.1% compared to 51.9%, a difference of 15.8%), and 3 or more vehicles in household (23.9% compared to 17.9%, a difference of 33.7%).
Vehicle Availability Metric | Chinese | Subsaharan African |
No Vehicles Available | Exceptional 8.2% | Tragic 12.2% |
1+ Vehicles Available | Exceptional 91.9% | Tragic 87.9% |
2+ Vehicles Available | Exceptional 60.1% | Tragic 51.9% |
3+ Vehicles Available | Exceptional 23.9% | Tragic 17.9% |
4+ Vehicles Available | Exceptional 8.8% | Tragic 5.7% |
Chinese vs Subsaharan African Education Level
When considering education level, the most significant differences between Chinese and Subsaharan African communities in the United States are seen in no schooling completed (1.5% compared to 2.3%, a difference of 56.3%), associate's degree (48.5% compared to 43.9%, a difference of 10.6%), and professional degree (4.5% compared to 4.1%, a difference of 8.9%). Conversely, both communities are more comparable in terms of doctorate degree (1.8% compared to 1.8%, a difference of 0.0%), nursery school (98.6% compared to 97.7%, a difference of 0.85%), and kindergarten (98.5% compared to 97.7%, a difference of 0.86%).
Education Level Metric | Chinese | Subsaharan African |
No Schooling Completed | Exceptional 1.5% | Tragic 2.3% |
Nursery School | Exceptional 98.6% | Tragic 97.7% |
Kindergarten | Exceptional 98.5% | Tragic 97.7% |
1st Grade | Exceptional 98.5% | Tragic 97.7% |
2nd Grade | Exceptional 98.5% | Tragic 97.6% |
3rd Grade | Exceptional 98.4% | Tragic 97.5% |
4th Grade | Exceptional 98.3% | Tragic 97.2% |
5th Grade | Exceptional 98.1% | Tragic 97.0% |
6th Grade | Exceptional 97.9% | Tragic 96.7% |
7th Grade | Exceptional 97.1% | Tragic 95.7% |
8th Grade | Exceptional 96.9% | Tragic 95.3% |
9th Grade | Exceptional 96.3% | Tragic 94.4% |
10th Grade | Exceptional 95.5% | Tragic 93.1% |
11th Grade | Exceptional 94.6% | Tragic 91.7% |
12th Grade, No Diploma | Exceptional 93.6% | Tragic 90.1% |
High School Diploma | Exceptional 92.0% | Tragic 87.9% |
GED/Equivalency | Exceptional 89.0% | Tragic 84.2% |
College, Under 1 year | Exceptional 68.3% | Tragic 63.2% |
College, 1 year or more | Exceptional 62.2% | Tragic 57.3% |
Associate's Degree | Exceptional 48.5% | Tragic 43.9% |
Bachelor's Degree | Good 38.5% | Tragic 35.8% |
Master's Degree | Fair 14.6% | Poor 14.2% |
Professional Degree | Average 4.5% | Poor 4.1% |
Doctorate Degree | Fair 1.8% | Fair 1.8% |
Chinese vs Subsaharan African Disability
When considering disability, the most significant differences between Chinese and Subsaharan African communities in the United States are seen in disability age 5 to 17 (4.7% compared to 6.2%, a difference of 31.2%), hearing disability (3.7% compared to 2.9%, a difference of 27.7%), and disability age 35 to 64 (10.3% compared to 12.6%, a difference of 22.8%). Conversely, both communities are more comparable in terms of self-care disability (2.6% compared to 2.6%, a difference of 0.37%), disability (12.2% compared to 12.3%, a difference of 0.42%), and ambulatory disability (6.5% compared to 6.4%, a difference of 1.0%).
Disability Metric | Chinese | Subsaharan African |
Disability | Tragic 12.2% | Tragic 12.3% |
Males | Tragic 12.1% | Tragic 11.8% |
Females | Fair 12.3% | Tragic 12.7% |
Age | Under 5 years | Exceptional 1.1% | Tragic 1.3% |
Age | 5 to 17 years | Exceptional 4.7% | Tragic 6.2% |
Age | 18 to 34 years | Exceptional 6.3% | Tragic 7.1% |
Age | 35 to 64 years | Exceptional 10.3% | Tragic 12.6% |
Age | 65 to 74 years | Exceptional 21.7% | Tragic 25.1% |
Age | Over 75 years | Tragic 48.7% | Tragic 48.2% |
Vision | Exceptional 2.0% | Tragic 2.3% |
Hearing | Tragic 3.7% | Excellent 2.9% |
Cognitive | Exceptional 15.9% | Tragic 18.5% |
Ambulatory | Tragic 6.5% | Tragic 6.4% |
Self-Care | Tragic 2.6% | Tragic 2.6% |