African vs Mongolian Community Comparison
COMPARE
African
Mongolian
Social Comparison
Social Comparison
Africans
Mongolians
624
SOCIAL INDEX
3.8/ 100
SOCIAL RATING
341st/ 347
SOCIAL RANK
8,008
SOCIAL INDEX
77.6/ 100
SOCIAL RATING
93rd/ 347
SOCIAL RANK
Mongolian Integration in African Communities
The statistical analysis conducted on geographies consisting of 136,277,741 people shows a significant positive correlation between the proportion of Mongolians within African communities in the United States with a correlation coefficient (R) of 0.681. On average, for every 1% (one percent) increase in Africans within a typical geography, there is an increase of 0.050% in Mongolians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Africans corresponds to an increase of 50.2 Mongolians.
African vs Mongolian Income
When considering income, the most significant differences between African and Mongolian communities in the United States are seen in householder income ages 25 - 44 years ($78,986 compared to $104,578, a difference of 32.4%), householder income ages 45 - 64 years ($84,925 compared to $111,602, a difference of 31.4%), and median family income ($87,820 compared to $114,553, a difference of 30.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($46,838 compared to $52,540, a difference of 12.2%), wage/income gap (22.9% compared to 26.6%, a difference of 16.1%), and median female earnings ($36,530 compared to $42,542, a difference of 16.5%).
Income Metric | African | Mongolian |
Per Capita Income | Tragic $37,785 | Exceptional $49,173 |
Median Family Income | Tragic $87,820 | Exceptional $114,553 |
Median Household Income | Tragic $72,650 | Exceptional $93,971 |
Median Earnings | Tragic $41,955 | Exceptional $51,038 |
Median Male Earnings | Tragic $47,994 | Exceptional $60,350 |
Median Female Earnings | Tragic $36,530 | Exceptional $42,542 |
Householder Age | Under 25 years | Tragic $46,838 | Good $52,540 |
Householder Age | 25 - 44 years | Tragic $78,986 | Exceptional $104,578 |
Householder Age | 45 - 64 years | Tragic $84,925 | Exceptional $111,602 |
Householder Age | Over 65 years | Tragic $53,711 | Exceptional $65,326 |
Wage/Income Gap | Exceptional 22.9% | Poor 26.6% |
African vs Mongolian Poverty
When considering poverty, the most significant differences between African and Mongolian communities in the United States are seen in receiving food stamps (15.1% compared to 10.5%, a difference of 44.7%), child poverty under the age of 16 (21.7% compared to 15.2%, a difference of 43.1%), and child poverty among girls under 16 (21.9% compared to 15.4%, a difference of 42.0%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (22.8% compared to 21.6%, a difference of 5.7%), seniors poverty over the age of 75 (13.6% compared to 12.2%, a difference of 11.3%), and seniors poverty over the age of 65 (12.6% compared to 10.9%, a difference of 16.0%).
Poverty Metric | African | Mongolian |
Poverty | Tragic 15.6% | Average 12.4% |
Families | Tragic 11.8% | Excellent 8.6% |
Males | Tragic 14.2% | Fair 11.3% |
Females | Tragic 16.9% | Average 13.4% |
Females 18 to 24 years | Tragic 22.8% | Tragic 21.6% |
Females 25 to 34 years | Tragic 17.0% | Exceptional 12.8% |
Children Under 5 years | Tragic 22.8% | Exceptional 16.1% |
Children Under 16 years | Tragic 21.7% | Excellent 15.2% |
Boys Under 16 years | Tragic 21.7% | Exceptional 15.4% |
Girls Under 16 years | Tragic 21.9% | Excellent 15.4% |
Single Males | Tragic 14.7% | Exceptional 12.2% |
Single Females | Tragic 24.8% | Exceptional 20.2% |
Single Fathers | Tragic 18.3% | Exceptional 15.3% |
Single Mothers | Tragic 33.3% | Exceptional 27.7% |
Married Couples | Tragic 6.0% | Good 5.0% |
Seniors Over 65 years | Tragic 12.6% | Average 10.9% |
Seniors Over 75 years | Tragic 13.6% | Average 12.2% |
Receiving Food Stamps | Tragic 15.1% | Exceptional 10.5% |
African vs Mongolian Unemployment
When considering unemployment, the most significant differences between African and Mongolian communities in the United States are seen in unemployment among women with children under 6 years (9.2% compared to 6.5%, a difference of 41.5%), unemployment among women with children under 18 years (6.5% compared to 5.0%, a difference of 31.2%), and unemployment among ages 35 to 44 years (5.6% compared to 4.3%, a difference of 29.6%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.5% compared to 5.3%, a difference of 2.0%), unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 2.1%), and unemployment among ages 60 to 64 years (5.0% compared to 4.8%, a difference of 3.8%).
Unemployment Metric | African | Mongolian |
Unemployment | Tragic 6.1% | Exceptional 5.0% |
Males | Tragic 6.3% | Excellent 5.1% |
Females | Tragic 5.9% | Exceptional 5.0% |
Youth < 25 | Tragic 13.2% | Exceptional 11.1% |
Age | 16 to 19 years | Tragic 19.5% | Exceptional 16.9% |
Age | 20 to 24 years | Tragic 11.5% | Exceptional 9.9% |
Age | 25 to 29 years | Tragic 7.6% | Exceptional 6.2% |
Age | 30 to 34 years | Tragic 6.4% | Exceptional 5.2% |
Age | 35 to 44 years | Tragic 5.6% | Exceptional 4.3% |
Age | 45 to 54 years | Tragic 5.1% | Exceptional 4.3% |
Age | 55 to 59 years | Tragic 5.1% | Exceptional 4.6% |
Age | 60 to 64 years | Tragic 5.0% | Excellent 4.8% |
Age | 65 to 74 years | Poor 5.5% | Good 5.3% |
Seniors > 65 | Poor 5.2% | Average 5.1% |
Seniors > 75 | Tragic 9.1% | Excellent 8.6% |
Women w/ Children < 6 | Tragic 9.2% | Exceptional 6.5% |
Women w/ Children 6 to 17 | Tragic 10.4% | Exceptional 8.4% |
Women w/ Children < 18 | Tragic 6.5% | Exceptional 5.0% |
African vs Mongolian Labor Participation
When considering labor participation, the most significant differences between African and Mongolian communities in the United States are seen in in labor force | age 16-19 (38.0% compared to 35.3%, a difference of 7.7%), in labor force | age 45-54 (80.5% compared to 83.3%, a difference of 3.4%), and in labor force | age 20-64 (77.9% compared to 79.9%, a difference of 2.6%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (75.0% compared to 73.3%, a difference of 2.2%), in labor force | age 25-29 (83.2% compared to 85.1%, a difference of 2.2%), and in labor force | age > 16 (64.6% compared to 66.1%, a difference of 2.2%).
Labor Participation Metric | African | Mongolian |
In Labor Force | Age > 16 | Tragic 64.6% | Exceptional 66.1% |
In Labor Force | Age 20-64 | Tragic 77.9% | Exceptional 79.9% |
In Labor Force | Age 16-19 | Exceptional 38.0% | Tragic 35.3% |
In Labor Force | Age 20-24 | Average 75.0% | Tragic 73.3% |
In Labor Force | Age 25-29 | Tragic 83.2% | Exceptional 85.1% |
In Labor Force | Age 30-34 | Tragic 83.4% | Exceptional 85.3% |
In Labor Force | Age 35-44 | Tragic 82.9% | Exceptional 84.8% |
In Labor Force | Age 45-54 | Tragic 80.5% | Exceptional 83.3% |
African vs Mongolian Family Structure
When considering family structure, the most significant differences between African and Mongolian communities in the United States are seen in births to unmarried women (39.7% compared to 27.9%, a difference of 42.3%), single mother households (8.2% compared to 5.8%, a difference of 41.2%), and divorced or separated (13.2% compared to 11.1%, a difference of 19.6%). Conversely, both communities are more comparable in terms of family households (62.1% compared to 62.8%, a difference of 1.0%), family households with children (27.2% compared to 27.6%, a difference of 1.5%), and average family size (3.25 compared to 3.20, a difference of 1.7%).
Family Structure Metric | African | Mongolian |
Family Households | Tragic 62.1% | Tragic 62.8% |
Family Households with Children | Poor 27.2% | Good 27.6% |
Married-couple Households | Tragic 40.9% | Average 46.3% |
Average Family Size | Excellent 3.25 | Poor 3.20 |
Single Father Households | Tragic 2.5% | Exceptional 2.1% |
Single Mother Households | Tragic 8.2% | Exceptional 5.8% |
Currently Married | Tragic 41.8% | Fair 46.4% |
Divorced or Separated | Tragic 13.2% | Exceptional 11.1% |
Births to Unmarried Women | Tragic 39.7% | Exceptional 27.9% |
African vs Mongolian Vehicle Availability
When considering vehicle availability, the most significant differences between African and Mongolian communities in the United States are seen in no vehicles in household (12.3% compared to 13.1%, a difference of 6.5%), 2 or more vehicles in household (51.8% compared to 52.8%, a difference of 1.9%), and 1 or more vehicles in household (87.8% compared to 87.0%, a difference of 0.93%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (18.2% compared to 18.1%, a difference of 0.35%), 4 or more vehicles in household (5.8% compared to 5.8%, a difference of 0.66%), and 1 or more vehicles in household (87.8% compared to 87.0%, a difference of 0.93%).
Vehicle Availability Metric | African | Mongolian |
No Vehicles Available | Tragic 12.3% | Tragic 13.1% |
1+ Vehicles Available | Tragic 87.8% | Tragic 87.0% |
2+ Vehicles Available | Tragic 51.8% | Tragic 52.8% |
3+ Vehicles Available | Tragic 18.2% | Tragic 18.1% |
4+ Vehicles Available | Tragic 5.8% | Tragic 5.8% |
African vs Mongolian Education Level
When considering education level, the most significant differences between African and Mongolian communities in the United States are seen in doctorate degree (1.6% compared to 2.8%, a difference of 75.9%), professional degree (3.7% compared to 6.1%, a difference of 67.1%), and master's degree (12.9% compared to 19.4%, a difference of 50.6%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 97.9%, a difference of 0.050%), 2nd grade (97.7% compared to 97.8%, a difference of 0.050%), and kindergarten (97.8% compared to 97.9%, a difference of 0.060%).
Education Level Metric | African | Mongolian |
No Schooling Completed | Fair 2.2% | Average 2.1% |
Nursery School | Poor 97.9% | Fair 97.9% |
Kindergarten | Poor 97.8% | Fair 97.9% |
1st Grade | Poor 97.8% | Fair 97.9% |
2nd Grade | Poor 97.7% | Fair 97.8% |
3rd Grade | Poor 97.6% | Fair 97.7% |
4th Grade | Poor 97.4% | Fair 97.5% |
5th Grade | Poor 97.2% | Fair 97.3% |
6th Grade | Poor 96.9% | Average 97.0% |
7th Grade | Poor 95.8% | Average 96.0% |
8th Grade | Poor 95.4% | Average 95.8% |
9th Grade | Tragic 94.5% | Good 95.0% |
10th Grade | Tragic 93.1% | Good 94.0% |
11th Grade | Tragic 91.5% | Excellent 93.0% |
12th Grade, No Diploma | Tragic 89.6% | Excellent 91.8% |
High School Diploma | Tragic 87.5% | Exceptional 89.9% |
GED/Equivalency | Tragic 83.4% | Exceptional 87.0% |
College, Under 1 year | Tragic 61.1% | Exceptional 69.9% |
College, 1 year or more | Tragic 55.0% | Exceptional 64.8% |
Associate's Degree | Tragic 41.1% | Exceptional 53.0% |
Bachelor's Degree | Tragic 32.9% | Exceptional 45.4% |
Master's Degree | Tragic 12.9% | Exceptional 19.4% |
Professional Degree | Tragic 3.7% | Exceptional 6.1% |
Doctorate Degree | Tragic 1.6% | Exceptional 2.8% |
African vs Mongolian Disability
When considering disability, the most significant differences between African and Mongolian communities in the United States are seen in disability age 35 to 64 (13.6% compared to 10.1%, a difference of 34.1%), vision disability (2.5% compared to 1.9%, a difference of 31.3%), and ambulatory disability (7.0% compared to 5.5%, a difference of 26.6%). Conversely, both communities are more comparable in terms of cognitive disability (18.6% compared to 17.7%, a difference of 5.1%), disability age over 75 (48.9% compared to 46.3%, a difference of 5.4%), and hearing disability (3.0% compared to 2.7%, a difference of 11.2%).
Disability Metric | African | Mongolian |
Disability | Tragic 13.0% | Exceptional 10.8% |
Males | Tragic 12.6% | Exceptional 10.3% |
Females | Tragic 13.4% | Exceptional 11.2% |
Age | Under 5 years | Tragic 1.4% | Exceptional 1.1% |
Age | 5 to 17 years | Tragic 6.5% | Exceptional 5.3% |
Age | 18 to 34 years | Tragic 7.4% | Exceptional 6.2% |
Age | 35 to 64 years | Tragic 13.6% | Exceptional 10.1% |
Age | 65 to 74 years | Tragic 26.2% | Exceptional 21.8% |
Age | Over 75 years | Tragic 48.9% | Exceptional 46.3% |
Vision | Tragic 2.5% | Exceptional 1.9% |
Hearing | Fair 3.0% | Exceptional 2.7% |
Cognitive | Tragic 18.6% | Tragic 17.7% |
Ambulatory | Tragic 7.0% | Exceptional 5.5% |
Self-Care | Tragic 2.7% | Exceptional 2.3% |