Immigrants from Hungary vs Japanese Community Comparison

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Immigrants from Hungary
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 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 KongIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin 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

Immigrants from Hungary

Japanese

Good
Fair
8,157
SOCIAL INDEX
79.0/ 100
SOCIAL RATING
84th/ 347
SOCIAL RANK
2,662
SOCIAL INDEX
24.2/ 100
SOCIAL RATING
248th/ 347
SOCIAL RANK

Japanese Integration in Immigrants from Hungary Communities

The statistical analysis conducted on geographies consisting of 134,051,515 people shows a moderate positive correlation between the proportion of Japanese within Immigrant from Hungary communities in the United States with a correlation coefficient (R) of 0.460. On average, for every 1% (one percent) increase in Immigrants from Hungary within a typical geography, there is an increase of 0.575% in Japanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hungary corresponds to an increase of 575.0 Japanese.
Immigrants from Hungary Integration in Japanese Communities

Immigrants from Hungary vs Japanese Income

When considering income, the most significant differences between Immigrants from Hungary and Japanese communities in the United States are seen in per capita income ($49,303 compared to $39,870, a difference of 23.7%), median male earnings ($59,806 compared to $51,473, a difference of 16.2%), and median family income ($111,378 compared to $97,288, a difference of 14.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,798 compared to $52,365, a difference of 0.83%), median female earnings ($41,820 compared to $38,528, a difference of 8.5%), and median household income ($92,094 compared to $83,395, a difference of 10.4%).
Immigrants from Hungary vs Japanese Income
Income MetricImmigrants from HungaryJapanese
Per Capita Income
Exceptional
$49,303
Tragic
$39,870
Median Family Income
Exceptional
$111,378
Tragic
$97,288
Median Household Income
Exceptional
$92,094
Fair
$83,395
Median Earnings
Exceptional
$50,227
Tragic
$44,825
Median Male Earnings
Exceptional
$59,806
Tragic
$51,473
Median Female Earnings
Exceptional
$41,820
Tragic
$38,528
Householder Age | Under 25 years
Excellent
$52,798
Good
$52,365
Householder Age | 25 - 44 years
Exceptional
$102,655
Poor
$91,624
Householder Age | 45 - 64 years
Exceptional
$108,267
Poor
$96,834
Householder Age | Over 65 years
Exceptional
$64,277
Tragic
$57,919
Wage/Income Gap
Tragic
27.0%
Exceptional
23.8%

Immigrants from Hungary vs Japanese Poverty

When considering poverty, the most significant differences between Immigrants from Hungary and Japanese communities in the United States are seen in receiving food stamps (10.3% compared to 14.1%, a difference of 36.2%), family poverty (8.4% compared to 9.9%, a difference of 18.3%), and seniors poverty over the age of 65 (10.4% compared to 12.2%, a difference of 16.6%). Conversely, both communities are more comparable in terms of single mother poverty (28.9% compared to 28.9%, a difference of 0.15%), female poverty among 18-24 year olds (19.3% compared to 18.8%, a difference of 2.6%), and single male poverty (12.6% compared to 13.1%, a difference of 3.6%).
Immigrants from Hungary vs Japanese Poverty
Poverty MetricImmigrants from HungaryJapanese
Poverty
Excellent
11.7%
Tragic
13.3%
Families
Excellent
8.4%
Tragic
9.9%
Males
Excellent
10.7%
Tragic
12.2%
Females
Exceptional
12.7%
Tragic
14.5%
Females 18 to 24 years
Exceptional
19.3%
Exceptional
18.8%
Females 25 to 34 years
Excellent
13.0%
Poor
14.1%
Children Under 5 years
Excellent
16.5%
Poor
18.1%
Children Under 16 years
Excellent
15.5%
Tragic
17.7%
Boys Under 16 years
Excellent
15.7%
Tragic
17.7%
Girls Under 16 years
Excellent
15.8%
Tragic
17.8%
Single Males
Good
12.6%
Poor
13.1%
Single Females
Exceptional
20.2%
Fair
21.3%
Single Fathers
Good
16.1%
Exceptional
15.2%
Single Mothers
Good
28.9%
Good
28.9%
Married Couples
Excellent
4.9%
Tragic
5.6%
Seniors Over 65 years
Excellent
10.4%
Tragic
12.2%
Seniors Over 75 years
Excellent
11.8%
Tragic
13.3%
Receiving Food Stamps
Exceptional
10.3%
Tragic
14.1%

Immigrants from Hungary vs Japanese Unemployment

When considering unemployment, the most significant differences between Immigrants from Hungary and Japanese communities in the United States are seen in male unemployment (5.2% compared to 5.8%, a difference of 10.8%), unemployment (5.1% compared to 5.6%, a difference of 10.5%), and unemployment among ages 35 to 44 years (4.6% compared to 5.1%, a difference of 10.0%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.0% compared to 10.0%, a difference of 0.26%), unemployment among ages 65 to 74 years (5.2% compared to 5.2%, a difference of 0.53%), and unemployment among ages 16 to 19 years (17.5% compared to 17.6%, a difference of 0.55%).
Immigrants from Hungary vs Japanese Unemployment
Unemployment MetricImmigrants from HungaryJapanese
Unemployment
Excellent
5.1%
Tragic
5.6%
Males
Good
5.2%
Tragic
5.8%
Females
Excellent
5.1%
Tragic
5.6%
Youth < 25
Excellent
11.4%
Fair
11.7%
Age | 16 to 19 years
Average
17.5%
Average
17.6%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
10.0%
Age | 25 to 29 years
Excellent
6.4%
Tragic
6.9%
Age | 30 to 34 years
Good
5.4%
Tragic
5.9%
Age | 35 to 44 years
Good
4.6%
Tragic
5.1%
Age | 45 to 54 years
Average
4.5%
Tragic
4.7%
Age | 55 to 59 years
Average
4.8%
Average
4.8%
Age | 60 to 64 years
Average
4.9%
Tragic
5.1%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.2%
Seniors > 65
Exceptional
5.0%
Exceptional
4.9%
Seniors > 75
Exceptional
7.7%
Exceptional
8.3%
Women w/ Children < 6
Exceptional
7.1%
Good
7.5%
Women w/ Children 6 to 17
Good
8.9%
Exceptional
8.4%
Women w/ Children < 18
Average
5.5%
Tragic
5.7%

Immigrants from Hungary vs Japanese Labor Participation

When considering labor participation, the most significant differences between Immigrants from Hungary and Japanese communities in the United States are seen in in labor force | age 16-19 (36.2% compared to 37.5%, a difference of 3.8%), in labor force | age > 16 (64.5% compared to 65.8%, a difference of 2.0%), and in labor force | age 45-54 (82.7% compared to 81.6%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (74.9% compared to 75.3%, a difference of 0.52%), in labor force | age 20-64 (79.5% compared to 79.1%, a difference of 0.53%), and in labor force | age 25-29 (84.8% compared to 84.3%, a difference of 0.60%).
Immigrants from Hungary vs Japanese Labor Participation
Labor Participation MetricImmigrants from HungaryJapanese
In Labor Force | Age > 16
Tragic
64.5%
Exceptional
65.8%
In Labor Force | Age 20-64
Fair
79.5%
Tragic
79.1%
In Labor Force | Age 16-19
Fair
36.2%
Excellent
37.5%
In Labor Force | Age 20-24
Fair
74.9%
Good
75.3%
In Labor Force | Age 25-29
Good
84.8%
Poor
84.3%
In Labor Force | Age 30-34
Exceptional
85.1%
Tragic
84.3%
In Labor Force | Age 35-44
Average
84.4%
Tragic
83.6%
In Labor Force | Age 45-54
Fair
82.7%
Tragic
81.6%

Immigrants from Hungary vs Japanese Family Structure

When considering family structure, the most significant differences between Immigrants from Hungary and Japanese communities in the United States are seen in single father households (2.1% compared to 2.8%, a difference of 31.2%), single mother households (5.7% compared to 7.4%, a difference of 30.8%), and births to unmarried women (29.7% compared to 35.2%, a difference of 18.2%). Conversely, both communities are more comparable in terms of divorced or separated (11.9% compared to 12.0%, a difference of 0.12%), family households (63.6% compared to 65.9%, a difference of 3.6%), and married-couple households (47.3% compared to 45.2%, a difference of 4.6%).
Immigrants from Hungary vs Japanese Family Structure
Family Structure MetricImmigrants from HungaryJapanese
Family Households
Tragic
63.6%
Exceptional
65.9%
Family Households with Children
Tragic
26.7%
Exceptional
29.4%
Married-couple Households
Excellent
47.3%
Tragic
45.2%
Average Family Size
Tragic
3.17
Exceptional
3.35
Single Father Households
Exceptional
2.1%
Tragic
2.8%
Single Mother Households
Exceptional
5.7%
Tragic
7.4%
Currently Married
Exceptional
47.6%
Tragic
44.5%
Divorced or Separated
Good
11.9%
Good
12.0%
Births to Unmarried Women
Exceptional
29.7%
Tragic
35.2%

Immigrants from Hungary vs Japanese Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Hungary and Japanese communities in the United States are seen in 4 or more vehicles in household (5.8% compared to 7.7%, a difference of 31.7%), 3 or more vehicles in household (18.5% compared to 21.8%, a difference of 18.0%), and no vehicles in household (11.1% compared to 9.4%, a difference of 17.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 90.6%, a difference of 1.8%), 2 or more vehicles in household (54.2% compared to 57.5%, a difference of 6.1%), and no vehicles in household (11.1% compared to 9.4%, a difference of 17.7%).
Immigrants from Hungary vs Japanese Vehicle Availability
Vehicle Availability MetricImmigrants from HungaryJapanese
No Vehicles Available
Poor
11.1%
Exceptional
9.4%
1+ Vehicles Available
Poor
89.0%
Exceptional
90.6%
2+ Vehicles Available
Poor
54.2%
Exceptional
57.5%
3+ Vehicles Available
Tragic
18.5%
Exceptional
21.8%
4+ Vehicles Available
Tragic
5.8%
Exceptional
7.7%

Immigrants from Hungary vs Japanese Education Level

When considering education level, the most significant differences between Immigrants from Hungary and Japanese communities in the United States are seen in no schooling completed (1.9% compared to 3.3%, a difference of 74.0%), professional degree (5.5% compared to 3.5%, a difference of 53.8%), and doctorate degree (2.2% compared to 1.5%, a difference of 47.9%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 96.7%, a difference of 1.5%), kindergarten (98.1% compared to 96.7%, a difference of 1.5%), and 1st grade (98.1% compared to 96.6%, a difference of 1.5%).
Immigrants from Hungary vs Japanese Education Level
Education Level MetricImmigrants from HungaryJapanese
No Schooling Completed
Exceptional
1.9%
Tragic
3.3%
Nursery School
Excellent
98.1%
Tragic
96.7%
Kindergarten
Excellent
98.1%
Tragic
96.7%
1st Grade
Excellent
98.1%
Tragic
96.6%
2nd Grade
Excellent
98.0%
Tragic
96.5%
3rd Grade
Excellent
97.9%
Tragic
96.4%
4th Grade
Excellent
97.7%
Tragic
96.0%
5th Grade
Exceptional
97.6%
Tragic
95.7%
6th Grade
Excellent
97.3%
Tragic
95.4%
7th Grade
Exceptional
96.4%
Tragic
94.0%
8th Grade
Exceptional
96.1%
Tragic
93.6%
9th Grade
Exceptional
95.4%
Tragic
92.6%
10th Grade
Exceptional
94.4%
Tragic
91.2%
11th Grade
Exceptional
93.4%
Tragic
89.9%
12th Grade, No Diploma
Exceptional
92.1%
Tragic
88.3%
High School Diploma
Exceptional
90.2%
Tragic
85.9%
GED/Equivalency
Exceptional
87.2%
Tragic
82.4%
College, Under 1 year
Exceptional
68.3%
Tragic
61.5%
College, 1 year or more
Exceptional
62.7%
Tragic
55.2%
Associate's Degree
Exceptional
50.2%
Tragic
41.7%
Bachelor's Degree
Exceptional
42.3%
Tragic
33.3%
Master's Degree
Exceptional
17.5%
Tragic
12.5%
Professional Degree
Exceptional
5.5%
Tragic
3.5%
Doctorate Degree
Exceptional
2.2%
Tragic
1.5%

Immigrants from Hungary vs Japanese Disability

When considering disability, the most significant differences between Immigrants from Hungary and Japanese communities in the United States are seen in disability age 65 to 74 (21.7% compared to 25.7%, a difference of 18.4%), disability age 35 to 64 (10.4% compared to 12.3%, a difference of 18.4%), and disability age under 5 (1.4% compared to 1.2%, a difference of 16.3%). Conversely, both communities are more comparable in terms of hearing disability (3.1% compared to 3.0%, a difference of 4.2%), disability age 18 to 34 (6.5% compared to 6.8%, a difference of 4.8%), and ambulatory disability (6.0% compared to 6.3%, a difference of 4.9%).
Immigrants from Hungary vs Japanese Disability
Disability MetricImmigrants from HungaryJapanese
Disability
Good
11.5%
Tragic
12.2%
Males
Good
11.1%
Tragic
11.7%
Females
Exceptional
11.9%
Tragic
12.6%
Age | Under 5 years
Tragic
1.4%
Exceptional
1.2%
Age | 5 to 17 years
Excellent
5.5%
Tragic
6.1%
Age | 18 to 34 years
Good
6.5%
Poor
6.8%
Age | 35 to 64 years
Exceptional
10.4%
Tragic
12.3%
Age | 65 to 74 years
Exceptional
21.7%
Tragic
25.7%
Age | Over 75 years
Exceptional
46.1%
Tragic
50.2%
Vision
Excellent
2.1%
Tragic
2.4%
Hearing
Poor
3.1%
Average
3.0%
Cognitive
Exceptional
16.7%
Tragic
18.3%
Ambulatory
Excellent
6.0%
Poor
6.3%
Self-Care
Excellent
2.4%
Tragic
2.7%