Subsaharan African vs Mongolian Community Comparison
COMPARE
Subsaharan African
Mongolian
Social Comparison
Social Comparison
Sub-Saharan Africans
Mongolians
977
SOCIAL INDEX
7.3/ 100
SOCIAL RATING
330th/ 347
SOCIAL RANK
8,008
SOCIAL INDEX
77.6/ 100
SOCIAL RATING
93rd/ 347
SOCIAL RANK
Mongolian Integration in Subsaharan African Communities
The statistical analysis conducted on geographies consisting of 139,135,453 people shows a weak positive correlation between the proportion of Mongolians within Subsaharan African communities in the United States with a correlation coefficient (R) of 0.236. On average, for every 1% (one percent) increase in Sub-Saharan Africans within a typical geography, there is an increase of 0.002% in Mongolians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Sub-Saharan Africans corresponds to an increase of 2.1 Mongolians.
Subsaharan African vs Mongolian Income
When considering income, the most significant differences between Subsaharan African and Mongolian communities in the United States are seen in householder income ages 25 - 44 years ($84,235 compared to $104,578, a difference of 24.1%), householder income ages 45 - 64 years ($90,691 compared to $111,602, a difference of 23.1%), and per capita income ($40,152 compared to $49,173, a difference of 22.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($48,691 compared to $52,540, a difference of 7.9%), median female earnings ($38,391 compared to $42,542, a difference of 10.8%), and householder income over 65 years ($56,615 compared to $65,326, a difference of 15.4%).
Income Metric | Subsaharan African | Mongolian |
Per Capita Income | Tragic $40,152 | Exceptional $49,173 |
Median Family Income | Tragic $93,748 | Exceptional $114,553 |
Median Household Income | Tragic $77,631 | Exceptional $93,971 |
Median Earnings | Tragic $44,118 | Exceptional $51,038 |
Median Male Earnings | Tragic $50,408 | Exceptional $60,350 |
Median Female Earnings | Tragic $38,391 | Exceptional $42,542 |
Householder Age | Under 25 years | Tragic $48,691 | Good $52,540 |
Householder Age | 25 - 44 years | Tragic $84,235 | Exceptional $104,578 |
Householder Age | 45 - 64 years | Tragic $90,691 | Exceptional $111,602 |
Householder Age | Over 65 years | Tragic $56,615 | Exceptional $65,326 |
Wage/Income Gap | Exceptional 22.8% | Poor 26.6% |
Subsaharan African vs Mongolian Poverty
When considering poverty, the most significant differences between Subsaharan African and Mongolian communities in the United States are seen in receiving food stamps (14.1% compared to 10.5%, a difference of 34.8%), child poverty under the age of 16 (19.9% compared to 15.2%, a difference of 31.2%), and child poverty among girls under 16 (20.1% compared to 15.4%, a difference of 30.2%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (22.0% compared to 21.6%, a difference of 1.9%), seniors poverty over the age of 75 (13.2% compared to 12.2%, a difference of 8.1%), and single father poverty (16.9% compared to 15.3%, a difference of 11.0%).
Poverty Metric | Subsaharan African | Mongolian |
Poverty | Tragic 14.5% | Average 12.4% |
Families | Tragic 10.9% | Excellent 8.6% |
Males | Tragic 13.3% | Fair 11.3% |
Females | Tragic 15.8% | Average 13.4% |
Females 18 to 24 years | Tragic 22.0% | Tragic 21.6% |
Females 25 to 34 years | Tragic 15.6% | Exceptional 12.8% |
Children Under 5 years | Tragic 20.8% | Exceptional 16.1% |
Children Under 16 years | Tragic 19.9% | Excellent 15.2% |
Boys Under 16 years | Tragic 20.0% | Exceptional 15.4% |
Girls Under 16 years | Tragic 20.1% | Excellent 15.4% |
Single Males | Tragic 13.7% | Exceptional 12.2% |
Single Females | Tragic 23.2% | Exceptional 20.2% |
Single Fathers | Tragic 16.9% | Exceptional 15.3% |
Single Mothers | Tragic 31.4% | Exceptional 27.7% |
Married Couples | Tragic 5.7% | Good 5.0% |
Seniors Over 65 years | Tragic 12.1% | Average 10.9% |
Seniors Over 75 years | Tragic 13.2% | Average 12.2% |
Receiving Food Stamps | Tragic 14.1% | Exceptional 10.5% |
Subsaharan African vs Mongolian Unemployment
When considering unemployment, the most significant differences between Subsaharan African and Mongolian communities in the United States are seen in unemployment among women with children under 6 years (8.4% compared to 6.5%, a difference of 30.2%), unemployment among women with children under 18 years (6.2% compared to 5.0%, a difference of 23.8%), and unemployment among ages 35 to 44 years (5.3% compared to 4.3%, a difference of 22.1%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 1.6%), unemployment among ages 60 to 64 years (4.9% compared to 4.8%, a difference of 1.7%), and unemployment among ages 65 to 74 years (5.4% compared to 5.3%, a difference of 1.9%).
Unemployment Metric | Subsaharan African | Mongolian |
Unemployment | Tragic 5.8% | Exceptional 5.0% |
Males | Tragic 6.0% | Excellent 5.1% |
Females | Tragic 5.7% | Exceptional 5.0% |
Youth < 25 | Tragic 12.6% | Exceptional 11.1% |
Age | 16 to 19 years | Tragic 18.7% | Exceptional 16.9% |
Age | 20 to 24 years | Tragic 11.1% | Exceptional 9.9% |
Age | 25 to 29 years | Tragic 7.2% | Exceptional 6.2% |
Age | 30 to 34 years | Tragic 6.0% | Exceptional 5.2% |
Age | 35 to 44 years | Tragic 5.3% | Exceptional 4.3% |
Age | 45 to 54 years | Tragic 4.9% | Exceptional 4.3% |
Age | 55 to 59 years | Tragic 5.0% | Exceptional 4.6% |
Age | 60 to 64 years | Fair 4.9% | Excellent 4.8% |
Age | 65 to 74 years | Poor 5.4% | Good 5.3% |
Seniors > 65 | Poor 5.2% | Average 5.1% |
Seniors > 75 | Tragic 9.2% | Excellent 8.6% |
Women w/ Children < 6 | Tragic 8.4% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Tragic 10.0% | Exceptional 8.4% |
Women w/ Children < 18 | Tragic 6.2% | Exceptional 5.0% |
Subsaharan African vs Mongolian Labor Participation
When considering labor participation, the most significant differences between Subsaharan African and Mongolian communities in the United States are seen in in labor force | age 16-19 (38.4% compared to 35.3%, a difference of 9.0%), in labor force | age 20-24 (75.7% compared to 73.3%, a difference of 3.2%), and in labor force | age 45-54 (82.0% compared to 83.3%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (66.2% compared to 66.1%, a difference of 0.23%), in labor force | age 20-64 (79.3% compared to 79.9%, a difference of 0.82%), and in labor force | age 25-29 (84.3% compared to 85.1%, a difference of 0.89%).
Labor Participation Metric | Subsaharan African | Mongolian |
In Labor Force | Age > 16 | Exceptional 66.2% | Exceptional 66.1% |
In Labor Force | Age 20-64 | Poor 79.3% | Exceptional 79.9% |
In Labor Force | Age 16-19 | Exceptional 38.4% | Tragic 35.3% |
In Labor Force | Age 20-24 | Exceptional 75.7% | Tragic 73.3% |
In Labor Force | Age 25-29 | Poor 84.3% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Poor 84.5% | Exceptional 85.3% |
In Labor Force | Age 35-44 | Tragic 84.1% | Exceptional 84.8% |
In Labor Force | Age 45-54 | Tragic 82.0% | Exceptional 83.3% |
Subsaharan African vs Mongolian Family Structure
When considering family structure, the most significant differences between Subsaharan African and Mongolian communities in the United States are seen in single mother households (7.8% compared to 5.8%, a difference of 34.8%), births to unmarried women (36.7% compared to 27.9%, a difference of 31.3%), and single father households (2.4% compared to 2.1%, a difference of 19.0%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.6%, a difference of 0.080%), family households (62.1% compared to 62.8%, a difference of 1.2%), and average family size (3.25 compared to 3.20, a difference of 1.6%).
Family Structure Metric | Subsaharan African | Mongolian |
Family Households | Tragic 62.1% | Tragic 62.8% |
Family Households with Children | Good 27.6% | Good 27.6% |
Married-couple Households | Tragic 41.6% | Average 46.3% |
Average Family Size | Excellent 3.25 | Poor 3.20 |
Single Father Households | Tragic 2.4% | Exceptional 2.1% |
Single Mother Households | Tragic 7.8% | Exceptional 5.8% |
Currently Married | Tragic 42.6% | Fair 46.4% |
Divorced or Separated | Tragic 12.7% | Exceptional 11.1% |
Births to Unmarried Women | Tragic 36.7% | Exceptional 27.9% |
Subsaharan African vs Mongolian Vehicle Availability
When considering vehicle availability, the most significant differences between Subsaharan African and Mongolian communities in the United States are seen in no vehicles in household (12.2% compared to 13.1%, a difference of 7.5%), 2 or more vehicles in household (51.9% compared to 52.8%, a difference of 1.8%), and 4 or more vehicles in household (5.7% compared to 5.8%, a difference of 1.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.9% compared to 87.0%, a difference of 1.0%), 3 or more vehicles in household (17.9% compared to 18.1%, a difference of 1.4%), and 4 or more vehicles in household (5.7% compared to 5.8%, a difference of 1.6%).
Vehicle Availability Metric | Subsaharan African | Mongolian |
No Vehicles Available | Tragic 12.2% | Tragic 13.1% |
1+ Vehicles Available | Tragic 87.9% | Tragic 87.0% |
2+ Vehicles Available | Tragic 51.9% | Tragic 52.8% |
3+ Vehicles Available | Tragic 17.9% | Tragic 18.1% |
4+ Vehicles Available | Tragic 5.7% | Tragic 5.8% |
Subsaharan African vs Mongolian Education Level
When considering education level, the most significant differences between Subsaharan African and Mongolian communities in the United States are seen in doctorate degree (1.8% compared to 2.8%, a difference of 56.3%), professional degree (4.1% compared to 6.1%, a difference of 49.7%), and master's degree (14.2% compared to 19.4%, a difference of 36.2%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 97.9%, a difference of 0.18%), 2nd grade (97.6% compared to 97.8%, a difference of 0.18%), and kindergarten (97.7% compared to 97.9%, a difference of 0.19%).
Education Level Metric | Subsaharan African | Mongolian |
No Schooling Completed | Tragic 2.3% | Average 2.1% |
Nursery School | Tragic 97.7% | Fair 97.9% |
Kindergarten | Tragic 97.7% | Fair 97.9% |
1st Grade | Tragic 97.7% | Fair 97.9% |
2nd Grade | Tragic 97.6% | Fair 97.8% |
3rd Grade | Tragic 97.5% | Fair 97.7% |
4th Grade | Tragic 97.2% | Fair 97.5% |
5th Grade | Tragic 97.0% | Fair 97.3% |
6th Grade | Tragic 96.7% | Average 97.0% |
7th Grade | Tragic 95.7% | Average 96.0% |
8th Grade | Tragic 95.3% | Average 95.8% |
9th Grade | Tragic 94.4% | Good 95.0% |
10th Grade | Tragic 93.1% | Good 94.0% |
11th Grade | Tragic 91.7% | Excellent 93.0% |
12th Grade, No Diploma | Tragic 90.1% | Excellent 91.8% |
High School Diploma | Tragic 87.9% | Exceptional 89.9% |
GED/Equivalency | Tragic 84.2% | Exceptional 87.0% |
College, Under 1 year | Tragic 63.2% | Exceptional 69.9% |
College, 1 year or more | Tragic 57.3% | Exceptional 64.8% |
Associate's Degree | Tragic 43.9% | Exceptional 53.0% |
Bachelor's Degree | Tragic 35.8% | Exceptional 45.4% |
Master's Degree | Poor 14.2% | Exceptional 19.4% |
Professional Degree | Poor 4.1% | Exceptional 6.1% |
Doctorate Degree | Fair 1.8% | Exceptional 2.8% |
Subsaharan African vs Mongolian Disability
When considering disability, the most significant differences between Subsaharan African and Mongolian communities in the United States are seen in disability age 35 to 64 (12.6% compared to 10.1%, a difference of 24.8%), vision disability (2.3% compared to 1.9%, a difference of 21.4%), and disability age 5 to 17 (6.2% compared to 5.3%, a difference of 17.0%). Conversely, both communities are more comparable in terms of disability age over 75 (48.2% compared to 46.3%, a difference of 4.0%), cognitive disability (18.5% compared to 17.7%, a difference of 4.4%), and hearing disability (2.9% compared to 2.7%, a difference of 5.2%).
Disability Metric | Subsaharan African | Mongolian |
Disability | Tragic 12.3% | Exceptional 10.8% |
Males | Tragic 11.8% | Exceptional 10.3% |
Females | Tragic 12.7% | Exceptional 11.2% |
Age | Under 5 years | Tragic 1.3% | Exceptional 1.1% |
Age | 5 to 17 years | Tragic 6.2% | Exceptional 5.3% |
Age | 18 to 34 years | Tragic 7.1% | Exceptional 6.2% |
Age | 35 to 64 years | Tragic 12.6% | Exceptional 10.1% |
Age | 65 to 74 years | Tragic 25.1% | Exceptional 21.8% |
Age | Over 75 years | Tragic 48.2% | Exceptional 46.3% |
Vision | Tragic 2.3% | Exceptional 1.9% |
Hearing | Excellent 2.9% | Exceptional 2.7% |
Cognitive | Tragic 18.5% | Tragic 17.7% |
Ambulatory | Tragic 6.4% | Exceptional 5.5% |
Self-Care | Tragic 2.6% | Exceptional 2.3% |