Hungarian vs Mongolian Community Comparison

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Hungarian
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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaIcelanderIndian (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

Hungarians

Mongolians

Good
Good
6,572
SOCIAL INDEX
63.2/ 100
SOCIAL RATING
149th/ 347
SOCIAL RANK
8,008
SOCIAL INDEX
77.6/ 100
SOCIAL RATING
93rd/ 347
SOCIAL RANK

Mongolian Integration in Hungarian Communities

The statistical analysis conducted on geographies consisting of 138,067,006 people shows a moderate negative correlation between the proportion of Mongolians within Hungarian communities in the United States with a correlation coefficient (R) of -0.437. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is a decrease of 0.003% in Mongolians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to a decrease of 3.1 Mongolians.
Hungarian Integration in Mongolian Communities

Hungarian vs Mongolian Income

When considering income, the most significant differences between Hungarian and Mongolian communities in the United States are seen in wage/income gap (29.0% compared to 26.6%, a difference of 9.0%), median family income ($105,609 compared to $114,553, a difference of 8.5%), and per capita income ($45,426 compared to $49,173, a difference of 8.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,247 compared to $52,540, a difference of 4.6%), median male earnings ($57,309 compared to $60,350, a difference of 5.3%), and householder income over 65 years ($61,673 compared to $65,326, a difference of 5.9%).
Hungarian vs Mongolian Income
Income MetricHungarianMongolian
Per Capita Income
Excellent
$45,426
Exceptional
$49,173
Median Family Income
Excellent
$105,609
Exceptional
$114,553
Median Household Income
Good
$86,920
Exceptional
$93,971
Median Earnings
Excellent
$47,795
Exceptional
$51,038
Median Male Earnings
Exceptional
$57,309
Exceptional
$60,350
Median Female Earnings
Average
$39,510
Exceptional
$42,542
Householder Age | Under 25 years
Tragic
$50,247
Good
$52,540
Householder Age | 25 - 44 years
Excellent
$97,544
Exceptional
$104,578
Householder Age | 45 - 64 years
Excellent
$103,913
Exceptional
$111,602
Householder Age | Over 65 years
Good
$61,673
Exceptional
$65,326
Wage/Income Gap
Tragic
29.0%
Poor
26.6%

Hungarian vs Mongolian Poverty

When considering poverty, the most significant differences between Hungarian and Mongolian communities in the United States are seen in single father poverty (18.5% compared to 15.3%, a difference of 21.0%), single male poverty (13.8% compared to 12.2%, a difference of 13.3%), and seniors poverty over the age of 65 (9.7% compared to 10.9%, a difference of 11.9%). Conversely, both communities are more comparable in terms of male poverty (11.1% compared to 11.3%, a difference of 1.6%), female poverty (13.2% compared to 13.4%, a difference of 1.7%), and poverty (12.2% compared to 12.4%, a difference of 2.0%).
Hungarian vs Mongolian Poverty
Poverty MetricHungarianMongolian
Poverty
Good
12.2%
Average
12.4%
Families
Good
8.8%
Excellent
8.6%
Males
Average
11.1%
Fair
11.3%
Females
Good
13.2%
Average
13.4%
Females 18 to 24 years
Good
19.8%
Tragic
21.6%
Females 25 to 34 years
Poor
14.1%
Exceptional
12.8%
Children Under 5 years
Poor
17.9%
Exceptional
16.1%
Children Under 16 years
Average
16.2%
Excellent
15.2%
Boys Under 16 years
Average
16.5%
Exceptional
15.4%
Girls Under 16 years
Average
16.6%
Excellent
15.4%
Single Males
Tragic
13.8%
Exceptional
12.2%
Single Females
Fair
21.1%
Exceptional
20.2%
Single Fathers
Tragic
18.5%
Exceptional
15.3%
Single Mothers
Poor
29.9%
Exceptional
27.7%
Married Couples
Fair
5.3%
Good
5.0%
Seniors Over 65 years
Exceptional
9.7%
Average
10.9%
Seniors Over 75 years
Exceptional
11.2%
Average
12.2%
Receiving Food Stamps
Excellent
11.0%
Exceptional
10.5%

Hungarian vs Mongolian Unemployment

When considering unemployment, the most significant differences between Hungarian and Mongolian communities in the United States are seen in unemployment among women with children under 6 years (7.8% compared to 6.5%, a difference of 20.7%), unemployment among seniors over 75 years (10.1% compared to 8.6%, a difference of 17.5%), and unemployment among women with children ages 6 to 17 years (9.3% compared to 8.4%, a difference of 10.7%). Conversely, both communities are more comparable in terms of female unemployment (4.9% compared to 5.0%, a difference of 0.37%), male unemployment (5.2% compared to 5.1%, a difference of 0.43%), and unemployment among ages 16 to 19 years (17.1% compared to 16.9%, a difference of 0.83%).
Hungarian vs Mongolian Unemployment
Unemployment MetricHungarianMongolian
Unemployment
Exceptional
5.0%
Exceptional
5.0%
Males
Excellent
5.2%
Excellent
5.1%
Females
Exceptional
4.9%
Exceptional
5.0%
Youth < 25
Excellent
11.4%
Exceptional
11.1%
Age | 16 to 19 years
Exceptional
17.1%
Exceptional
16.9%
Age | 20 to 24 years
Good
10.2%
Exceptional
9.9%
Age | 25 to 29 years
Fair
6.8%
Exceptional
6.2%
Age | 30 to 34 years
Average
5.5%
Exceptional
5.2%
Age | 35 to 44 years
Good
4.6%
Exceptional
4.3%
Age | 45 to 54 years
Good
4.5%
Exceptional
4.3%
Age | 55 to 59 years
Average
4.8%
Exceptional
4.6%
Age | 60 to 64 years
Average
4.9%
Excellent
4.8%
Age | 65 to 74 years
Tragic
5.5%
Good
5.3%
Seniors > 65
Tragic
5.3%
Average
5.1%
Seniors > 75
Tragic
10.1%
Excellent
8.6%
Women w/ Children < 6
Fair
7.8%
Exceptional
6.5%
Women w/ Children 6 to 17
Tragic
9.3%
Exceptional
8.4%
Women w/ Children < 18
Excellent
5.3%
Exceptional
5.0%

Hungarian vs Mongolian Labor Participation

When considering labor participation, the most significant differences between Hungarian and Mongolian communities in the United States are seen in in labor force | age 16-19 (39.8% compared to 35.3%, a difference of 12.9%), in labor force | age 20-24 (76.3% compared to 73.3%, a difference of 4.0%), and in labor force | age > 16 (63.8% compared to 66.1%, a difference of 3.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.6% compared to 85.1%, a difference of 0.53%), in labor force | age 35-44 (84.2% compared to 84.8%, a difference of 0.71%), and in labor force | age 45-54 (82.7% compared to 83.3%, a difference of 0.72%).
Hungarian vs Mongolian Labor Participation
Labor Participation MetricHungarianMongolian
In Labor Force | Age > 16
Tragic
63.8%
Exceptional
66.1%
In Labor Force | Age 20-64
Tragic
79.2%
Exceptional
79.9%
In Labor Force | Age 16-19
Exceptional
39.8%
Tragic
35.3%
In Labor Force | Age 20-24
Exceptional
76.3%
Tragic
73.3%
In Labor Force | Age 25-29
Average
84.6%
Exceptional
85.1%
In Labor Force | Age 30-34
Fair
84.5%
Exceptional
85.3%
In Labor Force | Age 35-44
Fair
84.2%
Exceptional
84.8%
In Labor Force | Age 45-54
Fair
82.7%
Exceptional
83.3%

Hungarian vs Mongolian Family Structure

When considering family structure, the most significant differences between Hungarian and Mongolian communities in the United States are seen in births to unmarried women (31.2% compared to 27.9%, a difference of 11.9%), divorced or separated (12.0% compared to 11.1%, a difference of 8.1%), and married-couple households (49.1% compared to 46.3%, a difference of 6.0%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.6%, a difference of 0.11%), average family size (3.18 compared to 3.20, a difference of 0.67%), and single mother households (5.7% compared to 5.8%, a difference of 2.1%).
Hungarian vs Mongolian Family Structure
Family Structure MetricHungarianMongolian
Family Households
Exceptional
64.9%
Tragic
62.8%
Family Households with Children
Good
27.6%
Good
27.6%
Married-couple Households
Exceptional
49.1%
Average
46.3%
Average Family Size
Tragic
3.18
Poor
3.20
Single Father Households
Exceptional
2.2%
Exceptional
2.1%
Single Mother Households
Exceptional
5.7%
Exceptional
5.8%
Currently Married
Exceptional
48.8%
Fair
46.4%
Divorced or Separated
Good
12.0%
Exceptional
11.1%
Births to Unmarried Women
Good
31.2%
Exceptional
27.9%

Hungarian vs Mongolian Vehicle Availability

When considering vehicle availability, the most significant differences between Hungarian and Mongolian communities in the United States are seen in no vehicles in household (9.9% compared to 13.1%, a difference of 32.4%), 4 or more vehicles in household (6.4% compared to 5.8%, a difference of 10.3%), and 3 or more vehicles in household (19.8% compared to 18.1%, a difference of 9.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 87.0%, a difference of 3.9%), 2 or more vehicles in household (56.5% compared to 52.8%, a difference of 7.0%), and 3 or more vehicles in household (19.8% compared to 18.1%, a difference of 9.4%).
Hungarian vs Mongolian Vehicle Availability
Vehicle Availability MetricHungarianMongolian
No Vehicles Available
Excellent
9.9%
Tragic
13.1%
1+ Vehicles Available
Excellent
90.3%
Tragic
87.0%
2+ Vehicles Available
Excellent
56.5%
Tragic
52.8%
3+ Vehicles Available
Good
19.8%
Tragic
18.1%
4+ Vehicles Available
Good
6.4%
Tragic
5.8%

Hungarian vs Mongolian Education Level

When considering education level, the most significant differences between Hungarian and Mongolian communities in the United States are seen in doctorate degree (1.9% compared to 2.8%, a difference of 45.1%), no schooling completed (1.6% compared to 2.1%, a difference of 32.9%), and professional degree (4.6% compared to 6.1%, a difference of 32.3%). Conversely, both communities are more comparable in terms of ged/equivalency (87.4% compared to 87.0%, a difference of 0.49%), nursery school (98.5% compared to 97.9%, a difference of 0.58%), and kindergarten (98.5% compared to 97.9%, a difference of 0.58%).
Hungarian vs Mongolian Education Level
Education Level MetricHungarianMongolian
No Schooling Completed
Exceptional
1.6%
Average
2.1%
Nursery School
Exceptional
98.5%
Fair
97.9%
Kindergarten
Exceptional
98.5%
Fair
97.9%
1st Grade
Exceptional
98.4%
Fair
97.9%
2nd Grade
Exceptional
98.4%
Fair
97.8%
3rd Grade
Exceptional
98.3%
Fair
97.7%
4th Grade
Exceptional
98.2%
Fair
97.5%
5th Grade
Exceptional
98.0%
Fair
97.3%
6th Grade
Exceptional
97.8%
Average
97.0%
7th Grade
Exceptional
97.2%
Average
96.0%
8th Grade
Exceptional
97.0%
Average
95.8%
9th Grade
Exceptional
96.2%
Good
95.0%
10th Grade
Exceptional
95.3%
Good
94.0%
11th Grade
Exceptional
94.2%
Excellent
93.0%
12th Grade, No Diploma
Exceptional
92.8%
Excellent
91.8%
High School Diploma
Exceptional
90.8%
Exceptional
89.9%
GED/Equivalency
Exceptional
87.4%
Exceptional
87.0%
College, Under 1 year
Average
65.6%
Exceptional
69.9%
College, 1 year or more
Average
59.5%
Exceptional
64.8%
Associate's Degree
Average
46.7%
Exceptional
53.0%
Bachelor's Degree
Good
38.3%
Exceptional
45.4%
Master's Degree
Good
15.6%
Exceptional
19.4%
Professional Degree
Excellent
4.6%
Exceptional
6.1%
Doctorate Degree
Good
1.9%
Exceptional
2.8%

Hungarian vs Mongolian Disability

When considering disability, the most significant differences between Hungarian and Mongolian communities in the United States are seen in disability age under 5 (1.5% compared to 1.1%, a difference of 35.1%), hearing disability (3.4% compared to 2.7%, a difference of 23.6%), and male disability (12.0% compared to 10.3%, a difference of 16.2%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 46.3%, a difference of 0.42%), disability age 65 to 74 (22.4% compared to 21.8%, a difference of 3.1%), and self-care disability (2.5% compared to 2.3%, a difference of 6.6%).
Hungarian vs Mongolian Disability
Disability MetricHungarianMongolian
Disability
Tragic
12.2%
Exceptional
10.8%
Males
Tragic
12.0%
Exceptional
10.3%
Females
Tragic
12.5%
Exceptional
11.2%
Age | Under 5 years
Tragic
1.5%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
5.8%
Exceptional
5.3%
Age | 18 to 34 years
Tragic
7.1%
Exceptional
6.2%
Age | 35 to 64 years
Fair
11.4%
Exceptional
10.1%
Age | 65 to 74 years
Exceptional
22.4%
Exceptional
21.8%
Age | Over 75 years
Exceptional
46.5%
Exceptional
46.3%
Vision
Good
2.1%
Exceptional
1.9%
Hearing
Tragic
3.4%
Exceptional
2.7%
Cognitive
Exceptional
16.5%
Tragic
17.7%
Ambulatory
Tragic
6.3%
Exceptional
5.5%
Self-Care
Average
2.5%
Exceptional
2.3%