African vs Mongolian Community Comparison

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African
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Mongolian
Race
Ancestry
AfghanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Africans

Mongolians

Tragic
Good
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 Integration in Mongolian Communities

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%).
African vs Mongolian Income
Income MetricAfricanMongolian
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%).
African vs Mongolian Poverty
Poverty MetricAfricanMongolian
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%).
African vs Mongolian Unemployment
Unemployment MetricAfricanMongolian
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%).
African vs Mongolian Labor Participation
Labor Participation MetricAfricanMongolian
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%).
African vs Mongolian Family Structure
Family Structure MetricAfricanMongolian
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%).
African vs Mongolian Vehicle Availability
Vehicle Availability MetricAfricanMongolian
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%).
African vs Mongolian Education Level
Education Level MetricAfricanMongolian
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%).
African vs Mongolian Disability
Disability MetricAfricanMongolian
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%