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.
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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%).
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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%).
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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%).
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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%).
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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%).
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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%).
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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%).
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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%).
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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% |