Japanese vs Mongolian Community Comparison

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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-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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Japanese

Mongolians

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

Mongolian Integration in Japanese Communities

The statistical analysis conducted on geographies consisting of 112,128,030 people shows a moderate negative correlation between the proportion of Mongolians within Japanese communities in the United States with a correlation coefficient (R) of -0.483. On average, for every 1% (one percent) increase in Japanese within a typical geography, there is a decrease of 0.004% in Mongolians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Japanese corresponds to a decrease of 3.9 Mongolians.
Japanese Integration in Mongolian Communities

Japanese vs Mongolian Income

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

Japanese vs Mongolian Poverty

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

Japanese vs Mongolian Unemployment

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

Japanese vs Mongolian Labor Participation

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

Japanese vs Mongolian Family Structure

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

Japanese vs Mongolian Vehicle Availability

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

Japanese vs Mongolian Education Level

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

Japanese vs Mongolian Disability

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