Mongolian vs Japanese Community Comparison

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Mongolian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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
Japanese
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-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

Mongolians

Japanese

Good
Fair
8,008
SOCIAL INDEX
77.6/ 100
SOCIAL RATING
93rd/ 347
SOCIAL RANK
2,662
SOCIAL INDEX
24.2/ 100
SOCIAL RATING
248th/ 347
SOCIAL RANK

Japanese Integration in Mongolian Communities

The statistical analysis conducted on geographies consisting of 112,130,679 people shows a moderate positive correlation between the proportion of Japanese within Mongolian communities in the United States with a correlation coefficient (R) of 0.430. On average, for every 1% (one percent) increase in Mongolians within a typical geography, there is an increase of 0.313% in Japanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Mongolians corresponds to an increase of 313.2 Japanese.
Mongolian Integration in Japanese Communities

Mongolian vs Japanese Income

When considering income, the most significant differences between Mongolian and Japanese communities in the United States are seen in per capita income ($49,173 compared to $39,870, a difference of 23.3%), median family income ($114,553 compared to $97,288, a difference of 17.7%), and median male earnings ($60,350 compared to $51,473, a difference of 17.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,540 compared to $52,365, a difference of 0.33%), median female earnings ($42,542 compared to $38,528, a difference of 10.4%), and wage/income gap (26.6% compared to 23.8%, a difference of 11.9%).
Mongolian vs Japanese Income
Income MetricMongolianJapanese
Per Capita Income
Exceptional
$49,173
Tragic
$39,870
Median Family Income
Exceptional
$114,553
Tragic
$97,288
Median Household Income
Exceptional
$93,971
Fair
$83,395
Median Earnings
Exceptional
$51,038
Tragic
$44,825
Median Male Earnings
Exceptional
$60,350
Tragic
$51,473
Median Female Earnings
Exceptional
$42,542
Tragic
$38,528
Householder Age | Under 25 years
Good
$52,540
Good
$52,365
Householder Age | 25 - 44 years
Exceptional
$104,578
Poor
$91,624
Householder Age | 45 - 64 years
Exceptional
$111,602
Poor
$96,834
Householder Age | Over 65 years
Exceptional
$65,326
Tragic
$57,919
Wage/Income Gap
Poor
26.6%
Exceptional
23.8%

Mongolian vs Japanese Poverty

When considering poverty, the most significant differences between Mongolian and Japanese communities in the United States are seen in receiving food stamps (10.5% compared to 14.1%, a difference of 34.8%), child poverty under the age of 16 (15.2% compared to 17.7%, a difference of 16.5%), and child poverty among girls under 16 (15.4% compared to 17.8%, a difference of 15.4%). Conversely, both communities are more comparable in terms of single father poverty (15.3% compared to 15.2%, a difference of 0.10%), single mother poverty (27.7% compared to 28.9%, a difference of 4.5%), and single female poverty (20.2% compared to 21.3%, a difference of 5.9%).
Mongolian vs Japanese Poverty
Poverty MetricMongolianJapanese
Poverty
Average
12.4%
Tragic
13.3%
Families
Excellent
8.6%
Tragic
9.9%
Males
Fair
11.3%
Tragic
12.2%
Females
Average
13.4%
Tragic
14.5%
Females 18 to 24 years
Tragic
21.6%
Exceptional
18.8%
Females 25 to 34 years
Exceptional
12.8%
Poor
14.1%
Children Under 5 years
Exceptional
16.1%
Poor
18.1%
Children Under 16 years
Excellent
15.2%
Tragic
17.7%
Boys Under 16 years
Exceptional
15.4%
Tragic
17.7%
Girls Under 16 years
Excellent
15.4%
Tragic
17.8%
Single Males
Exceptional
12.2%
Poor
13.1%
Single Females
Exceptional
20.2%
Fair
21.3%
Single Fathers
Exceptional
15.3%
Exceptional
15.2%
Single Mothers
Exceptional
27.7%
Good
28.9%
Married Couples
Good
5.0%
Tragic
5.6%
Seniors Over 65 years
Average
10.9%
Tragic
12.2%
Seniors Over 75 years
Average
12.2%
Tragic
13.3%
Receiving Food Stamps
Exceptional
10.5%
Tragic
14.1%

Mongolian vs Japanese Unemployment

When considering unemployment, the most significant differences between Mongolian and Japanese communities in the United States are seen in unemployment among ages 35 to 44 years (4.3% compared to 5.1%, a difference of 17.1%), unemployment among women with children under 6 years (6.5% compared to 7.5%, a difference of 15.5%), and unemployment among women with children under 18 years (5.0% compared to 5.7%, a difference of 13.9%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.4% compared to 8.4%, a difference of 0.46%), unemployment among ages 20 to 24 years (9.9% compared to 10.0%, a difference of 1.7%), and unemployment among ages 65 to 74 years (5.3% compared to 5.2%, a difference of 2.4%).
Mongolian vs Japanese Unemployment
Unemployment MetricMongolianJapanese
Unemployment
Exceptional
5.0%
Tragic
5.6%
Males
Excellent
5.1%
Tragic
5.8%
Females
Exceptional
5.0%
Tragic
5.6%
Youth < 25
Exceptional
11.1%
Fair
11.7%
Age | 16 to 19 years
Exceptional
16.9%
Average
17.6%
Age | 20 to 24 years
Exceptional
9.9%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
6.2%
Tragic
6.9%
Age | 30 to 34 years
Exceptional
5.2%
Tragic
5.9%
Age | 35 to 44 years
Exceptional
4.3%
Tragic
5.1%
Age | 45 to 54 years
Exceptional
4.3%
Tragic
4.7%
Age | 55 to 59 years
Exceptional
4.6%
Average
4.8%
Age | 60 to 64 years
Excellent
4.8%
Tragic
5.1%
Age | 65 to 74 years
Good
5.3%
Exceptional
5.2%
Seniors > 65
Average
5.1%
Exceptional
4.9%
Seniors > 75
Excellent
8.6%
Exceptional
8.3%
Women w/ Children < 6
Exceptional
6.5%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.4%
Exceptional
8.4%
Women w/ Children < 18
Exceptional
5.0%
Tragic
5.7%

Mongolian vs Japanese Labor Participation

When considering labor participation, the most significant differences between Mongolian and Japanese communities in the United States are seen in in labor force | age 16-19 (35.3% compared to 37.5%, a difference of 6.4%), in labor force | age 20-24 (73.3% compared to 75.3%, a difference of 2.6%), and in labor force | age 45-54 (83.3% compared to 81.6%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (66.1% compared to 65.8%, a difference of 0.37%), in labor force | age 25-29 (85.1% compared to 84.3%, a difference of 0.89%), and in labor force | age 20-64 (79.9% compared to 79.1%, a difference of 1.1%).
Mongolian vs Japanese Labor Participation
Labor Participation MetricMongolianJapanese
In Labor Force | Age > 16
Exceptional
66.1%
Exceptional
65.8%
In Labor Force | Age 20-64
Exceptional
79.9%
Tragic
79.1%
In Labor Force | Age 16-19
Tragic
35.3%
Excellent
37.5%
In Labor Force | Age 20-24
Tragic
73.3%
Good
75.3%
In Labor Force | Age 25-29
Exceptional
85.1%
Poor
84.3%
In Labor Force | Age 30-34
Exceptional
85.3%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
84.8%
Tragic
83.6%
In Labor Force | Age 45-54
Exceptional
83.3%
Tragic
81.6%

Mongolian vs Japanese Family Structure

When considering family structure, the most significant differences between Mongolian and Japanese communities in the United States are seen in single father households (2.1% compared to 2.8%, a difference of 34.2%), single mother households (5.8% compared to 7.4%, a difference of 27.9%), and births to unmarried women (27.9% compared to 35.2%, a difference of 26.0%). Conversely, both communities are more comparable in terms of married-couple households (46.3% compared to 45.2%, a difference of 2.4%), currently married (46.4% compared to 44.5%, a difference of 4.4%), and average family size (3.20 compared to 3.35, a difference of 4.7%).
Mongolian vs Japanese Family Structure
Family Structure MetricMongolianJapanese
Family Households
Tragic
62.8%
Exceptional
65.9%
Family Households with Children
Good
27.6%
Exceptional
29.4%
Married-couple Households
Average
46.3%
Tragic
45.2%
Average Family Size
Poor
3.20
Exceptional
3.35
Single Father Households
Exceptional
2.1%
Tragic
2.8%
Single Mother Households
Exceptional
5.8%
Tragic
7.4%
Currently Married
Fair
46.4%
Tragic
44.5%
Divorced or Separated
Exceptional
11.1%
Good
12.0%
Births to Unmarried Women
Exceptional
27.9%
Tragic
35.2%

Mongolian vs Japanese Vehicle Availability

When considering vehicle availability, the most significant differences between Mongolian and Japanese communities in the United States are seen in no vehicles in household (13.1% compared to 9.4%, a difference of 39.2%), 4 or more vehicles in household (5.8% compared to 7.7%, a difference of 32.6%), and 3 or more vehicles in household (18.1% compared to 21.8%, a difference of 20.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.0% compared to 90.6%, a difference of 4.2%), 2 or more vehicles in household (52.8% compared to 57.5%, a difference of 8.9%), and 3 or more vehicles in household (18.1% compared to 21.8%, a difference of 20.3%).
Mongolian vs Japanese Vehicle Availability
Vehicle Availability MetricMongolianJapanese
No Vehicles Available
Tragic
13.1%
Exceptional
9.4%
1+ Vehicles Available
Tragic
87.0%
Exceptional
90.6%
2+ Vehicles Available
Tragic
52.8%
Exceptional
57.5%
3+ Vehicles Available
Tragic
18.1%
Exceptional
21.8%
4+ Vehicles Available
Tragic
5.8%
Exceptional
7.7%

Mongolian vs Japanese Education Level

When considering education level, the most significant differences between Mongolian and Japanese communities in the United States are seen in doctorate degree (2.8% compared to 1.5%, a difference of 81.7%), professional degree (6.1% compared to 3.5%, a difference of 72.9%), and no schooling completed (2.1% compared to 3.3%, a difference of 58.1%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 96.7%, a difference of 1.3%), kindergarten (97.9% compared to 96.7%, a difference of 1.3%), and 1st grade (97.9% compared to 96.6%, a difference of 1.3%).
Mongolian vs Japanese Education Level
Education Level MetricMongolianJapanese
No Schooling Completed
Average
2.1%
Tragic
3.3%
Nursery School
Fair
97.9%
Tragic
96.7%
Kindergarten
Fair
97.9%
Tragic
96.7%
1st Grade
Fair
97.9%
Tragic
96.6%
2nd Grade
Fair
97.8%
Tragic
96.5%
3rd Grade
Fair
97.7%
Tragic
96.4%
4th Grade
Fair
97.5%
Tragic
96.0%
5th Grade
Fair
97.3%
Tragic
95.7%
6th Grade
Average
97.0%
Tragic
95.4%
7th Grade
Average
96.0%
Tragic
94.0%
8th Grade
Average
95.8%
Tragic
93.6%
9th Grade
Good
95.0%
Tragic
92.6%
10th Grade
Good
94.0%
Tragic
91.2%
11th Grade
Excellent
93.0%
Tragic
89.9%
12th Grade, No Diploma
Excellent
91.8%
Tragic
88.3%
High School Diploma
Exceptional
89.9%
Tragic
85.9%
GED/Equivalency
Exceptional
87.0%
Tragic
82.4%
College, Under 1 year
Exceptional
69.9%
Tragic
61.5%
College, 1 year or more
Exceptional
64.8%
Tragic
55.2%
Associate's Degree
Exceptional
53.0%
Tragic
41.7%
Bachelor's Degree
Exceptional
45.4%
Tragic
33.3%
Master's Degree
Exceptional
19.4%
Tragic
12.5%
Professional Degree
Exceptional
6.1%
Tragic
3.5%
Doctorate Degree
Exceptional
2.8%
Tragic
1.5%

Mongolian vs Japanese Disability

When considering disability, the most significant differences between Mongolian and Japanese communities in the United States are seen in vision disability (1.9% compared to 2.4%, a difference of 22.1%), disability age 35 to 64 (10.1% compared to 12.3%, a difference of 22.0%), and disability age 65 to 74 (21.8% compared to 25.7%, a difference of 18.2%). Conversely, both communities are more comparable in terms of disability age under 5 (1.1% compared to 1.2%, a difference of 2.8%), cognitive disability (17.7% compared to 18.3%, a difference of 2.9%), and disability age over 75 (46.3% compared to 50.2%, a difference of 8.4%).
Mongolian vs Japanese Disability
Disability MetricMongolianJapanese
Disability
Exceptional
10.8%
Tragic
12.2%
Males
Exceptional
10.3%
Tragic
11.7%
Females
Exceptional
11.2%
Tragic
12.6%
Age | Under 5 years
Exceptional
1.1%
Exceptional
1.2%
Age | 5 to 17 years
Exceptional
5.3%
Tragic
6.1%
Age | 18 to 34 years
Exceptional
6.2%
Poor
6.8%
Age | 35 to 64 years
Exceptional
10.1%
Tragic
12.3%
Age | 65 to 74 years
Exceptional
21.8%
Tragic
25.7%
Age | Over 75 years
Exceptional
46.3%
Tragic
50.2%
Vision
Exceptional
1.9%
Tragic
2.4%
Hearing
Exceptional
2.7%
Average
3.0%
Cognitive
Tragic
17.7%
Tragic
18.3%
Ambulatory
Exceptional
5.5%
Poor
6.3%
Self-Care
Exceptional
2.3%
Tragic
2.7%