Hungarian vs Nonimmigrants 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 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
ImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia 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
Nonimmigrants
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

Nonimmigrants

Good
Fair
6,572
SOCIAL INDEX
63.2/ 100
SOCIAL RATING
149th/ 347
SOCIAL RANK
3,083
SOCIAL INDEX
28.4/ 100
SOCIAL RATING
234th/ 347
SOCIAL RANK

Nonimmigrants Integration in Hungarian Communities

The statistical analysis conducted on geographies consisting of 486,271,086 people shows a moderate positive correlation between the proportion of Nonimmigrants within Hungarian communities in the United States with a correlation coefficient (R) of 0.491. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.127% in Nonimmigrants. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to an increase of 127.3 Nonimmigrants.
Hungarian Integration in Nonimmigrants Communities

Hungarian vs Nonimmigrants Income

When considering income, the most significant differences between Hungarian and Nonimmigrants communities in the United States are seen in per capita income ($45,426 compared to $40,669, a difference of 11.7%), householder income ages 25 - 44 years ($97,544 compared to $88,301, a difference of 10.5%), and householder income ages 45 - 64 years ($103,913 compared to $94,448, a difference of 10.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,247 compared to $49,348, a difference of 1.8%), median female earnings ($39,510 compared to $37,024, a difference of 6.7%), and wage/income gap (29.0% compared to 27.2%, a difference of 6.8%).
Hungarian vs Nonimmigrants Income
Income MetricHungarianNonimmigrants
Per Capita Income
Excellent
$45,426
Tragic
$40,669
Median Family Income
Excellent
$105,609
Tragic
$96,231
Median Household Income
Good
$86,920
Tragic
$79,429
Median Earnings
Excellent
$47,795
Tragic
$44,117
Median Male Earnings
Exceptional
$57,309
Tragic
$52,170
Median Female Earnings
Average
$39,510
Tragic
$37,024
Householder Age | Under 25 years
Tragic
$50,247
Tragic
$49,348
Householder Age | 25 - 44 years
Excellent
$97,544
Tragic
$88,301
Householder Age | 45 - 64 years
Excellent
$103,913
Tragic
$94,448
Householder Age | Over 65 years
Good
$61,673
Tragic
$57,426
Wage/Income Gap
Tragic
29.0%
Tragic
27.2%

Hungarian vs Nonimmigrants Poverty

When considering poverty, the most significant differences between Hungarian and Nonimmigrants communities in the United States are seen in receiving food stamps (11.0% compared to 12.4%, a difference of 12.2%), seniors poverty over the age of 65 (9.7% compared to 10.9%, a difference of 12.2%), and single female poverty (21.1% compared to 23.6%, a difference of 11.6%). Conversely, both communities are more comparable in terms of married-couple family poverty (5.3% compared to 5.3%, a difference of 0.13%), single father poverty (18.5% compared to 18.8%, a difference of 2.1%), and single male poverty (13.8% compared to 14.6%, a difference of 5.7%).
Hungarian vs Nonimmigrants Poverty
Poverty MetricHungarianNonimmigrants
Poverty
Good
12.2%
Tragic
13.3%
Families
Good
8.8%
Tragic
9.8%
Males
Average
11.1%
Tragic
12.1%
Females
Good
13.2%
Tragic
14.5%
Females 18 to 24 years
Good
19.8%
Tragic
21.5%
Females 25 to 34 years
Poor
14.1%
Tragic
15.6%
Children Under 5 years
Poor
17.9%
Tragic
19.7%
Children Under 16 years
Average
16.2%
Tragic
17.9%
Boys Under 16 years
Average
16.5%
Tragic
18.2%
Girls Under 16 years
Average
16.6%
Tragic
18.3%
Single Males
Tragic
13.8%
Tragic
14.6%
Single Females
Fair
21.1%
Tragic
23.6%
Single Fathers
Tragic
18.5%
Tragic
18.8%
Single Mothers
Poor
29.9%
Tragic
32.2%
Married Couples
Fair
5.3%
Fair
5.3%
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%
Poor
12.4%

Hungarian vs Nonimmigrants Unemployment

When considering unemployment, the most significant differences between Hungarian and Nonimmigrants communities in the United States are seen in unemployment among women with children under 6 years (7.8% compared to 8.8%, a difference of 13.3%), unemployment among ages 30 to 34 years (5.5% compared to 6.1%, a difference of 10.3%), and unemployment among women with children under 18 years (5.3% compared to 5.7%, a difference of 7.6%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 0.14%), unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.56%), and unemployment among ages 65 to 74 years (5.5% compared to 5.4%, a difference of 1.9%).
Hungarian vs Nonimmigrants Unemployment
Unemployment MetricHungarianNonimmigrants
Unemployment
Exceptional
5.0%
Average
5.3%
Males
Excellent
5.2%
Poor
5.4%
Females
Exceptional
4.9%
Average
5.3%
Youth < 25
Excellent
11.4%
Tragic
11.9%
Age | 16 to 19 years
Exceptional
17.1%
Fair
17.9%
Age | 20 to 24 years
Good
10.2%
Tragic
10.5%
Age | 25 to 29 years
Fair
6.8%
Tragic
7.1%
Age | 30 to 34 years
Average
5.5%
Tragic
6.1%
Age | 35 to 44 years
Good
4.6%
Tragic
4.9%
Age | 45 to 54 years
Good
4.5%
Good
4.5%
Age | 55 to 59 years
Average
4.8%
Poor
4.9%
Age | 60 to 64 years
Average
4.9%
Average
4.9%
Age | 65 to 74 years
Tragic
5.5%
Fair
5.4%
Seniors > 65
Tragic
5.3%
Average
5.1%
Seniors > 75
Tragic
10.1%
Tragic
9.8%
Women w/ Children < 6
Fair
7.8%
Tragic
8.8%
Women w/ Children 6 to 17
Tragic
9.3%
Tragic
10.0%
Women w/ Children < 18
Excellent
5.3%
Poor
5.7%

Hungarian vs Nonimmigrants Labor Participation

When considering labor participation, the most significant differences between Hungarian and Nonimmigrants communities in the United States are seen in in labor force | age 45-54 (82.7% compared to 81.2%, a difference of 1.8%), in labor force | age 20-64 (79.2% compared to 78.1%, a difference of 1.4%), and in labor force | age 35-44 (84.2% compared to 83.2%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.3% compared to 76.2%, a difference of 0.11%), in labor force | age > 16 (63.8% compared to 63.5%, a difference of 0.50%), and in labor force | age 16-19 (39.8% compared to 40.1%, a difference of 0.62%).
Hungarian vs Nonimmigrants Labor Participation
Labor Participation MetricHungarianNonimmigrants
In Labor Force | Age > 16
Tragic
63.8%
Tragic
63.5%
In Labor Force | Age 20-64
Tragic
79.2%
Tragic
78.1%
In Labor Force | Age 16-19
Exceptional
39.8%
Exceptional
40.1%
In Labor Force | Age 20-24
Exceptional
76.3%
Exceptional
76.2%
In Labor Force | Age 25-29
Average
84.6%
Tragic
83.7%
In Labor Force | Age 30-34
Fair
84.5%
Tragic
83.5%
In Labor Force | Age 35-44
Fair
84.2%
Tragic
83.2%
In Labor Force | Age 45-54
Fair
82.7%
Tragic
81.2%

Hungarian vs Nonimmigrants Family Structure

When considering family structure, the most significant differences between Hungarian and Nonimmigrants communities in the United States are seen in single mother households (5.7% compared to 6.7%, a difference of 17.8%), births to unmarried women (31.2% compared to 35.5%, a difference of 13.7%), and single father households (2.2% compared to 2.4%, a difference of 12.6%). Conversely, both communities are more comparable in terms of family households (64.9% compared to 64.8%, a difference of 0.18%), average family size (3.18 compared to 3.19, a difference of 0.32%), and family households with children (27.6% compared to 27.5%, a difference of 0.34%).
Hungarian vs Nonimmigrants Family Structure
Family Structure MetricHungarianNonimmigrants
Family Households
Exceptional
64.9%
Exceptional
64.8%
Family Households with Children
Good
27.6%
Good
27.5%
Married-couple Households
Exceptional
49.1%
Good
46.9%
Average Family Size
Tragic
3.18
Tragic
3.19
Single Father Households
Exceptional
2.2%
Tragic
2.4%
Single Mother Households
Exceptional
5.7%
Poor
6.7%
Currently Married
Exceptional
48.8%
Good
46.9%
Divorced or Separated
Good
12.0%
Tragic
12.8%
Births to Unmarried Women
Good
31.2%
Tragic
35.5%

Hungarian vs Nonimmigrants Vehicle Availability

When considering vehicle availability, the most significant differences between Hungarian and Nonimmigrants communities in the United States are seen in no vehicles in household (9.9% compared to 7.9%, a difference of 25.5%), 4 or more vehicles in household (6.4% compared to 7.2%, a difference of 12.9%), and 3 or more vehicles in household (19.8% compared to 21.8%, a difference of 9.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 92.2%, a difference of 2.1%), 2 or more vehicles in household (56.5% compared to 58.8%, a difference of 4.0%), and 3 or more vehicles in household (19.8% compared to 21.8%, a difference of 9.8%).
Hungarian vs Nonimmigrants Vehicle Availability
Vehicle Availability MetricHungarianNonimmigrants
No Vehicles Available
Excellent
9.9%
Exceptional
7.9%
1+ Vehicles Available
Excellent
90.3%
Exceptional
92.2%
2+ Vehicles Available
Excellent
56.5%
Exceptional
58.8%
3+ Vehicles Available
Good
19.8%
Exceptional
21.8%
4+ Vehicles Available
Good
6.4%
Exceptional
7.2%

Hungarian vs Nonimmigrants Education Level

When considering education level, the most significant differences between Hungarian and Nonimmigrants communities in the United States are seen in professional degree (4.6% compared to 3.9%, a difference of 18.9%), master's degree (15.6% compared to 13.3%, a difference of 16.7%), and doctorate degree (1.9% compared to 1.7%, a difference of 13.1%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 98.3%, a difference of 0.20%), kindergarten (98.5% compared to 98.3%, a difference of 0.20%), and 1st grade (98.4% compared to 98.2%, a difference of 0.20%).
Hungarian vs Nonimmigrants Education Level
Education Level MetricHungarianNonimmigrants
No Schooling Completed
Exceptional
1.6%
Exceptional
1.8%
Nursery School
Exceptional
98.5%
Exceptional
98.3%
Kindergarten
Exceptional
98.5%
Exceptional
98.3%
1st Grade
Exceptional
98.4%
Exceptional
98.2%
2nd Grade
Exceptional
98.4%
Exceptional
98.2%
3rd Grade
Exceptional
98.3%
Exceptional
98.1%
4th Grade
Exceptional
98.2%
Exceptional
97.9%
5th Grade
Exceptional
98.0%
Exceptional
97.7%
6th Grade
Exceptional
97.8%
Exceptional
97.4%
7th Grade
Exceptional
97.2%
Exceptional
96.5%
8th Grade
Exceptional
97.0%
Exceptional
96.2%
9th Grade
Exceptional
96.2%
Exceptional
95.3%
10th Grade
Exceptional
95.3%
Excellent
94.1%
11th Grade
Exceptional
94.2%
Good
92.7%
12th Grade, No Diploma
Exceptional
92.8%
Fair
91.0%
High School Diploma
Exceptional
90.8%
Average
89.2%
GED/Equivalency
Exceptional
87.4%
Fair
85.2%
College, Under 1 year
Average
65.6%
Tragic
62.9%
College, 1 year or more
Average
59.5%
Tragic
56.5%
Associate's Degree
Average
46.7%
Tragic
42.9%
Bachelor's Degree
Good
38.3%
Tragic
34.2%
Master's Degree
Good
15.6%
Tragic
13.3%
Professional Degree
Excellent
4.6%
Tragic
3.9%
Doctorate Degree
Good
1.9%
Tragic
1.7%

Hungarian vs Nonimmigrants Disability

When considering disability, the most significant differences between Hungarian and Nonimmigrants communities in the United States are seen in vision disability (2.1% compared to 2.5%, a difference of 15.8%), disability age 35 to 64 (11.4% compared to 13.0%, a difference of 14.3%), and disability age 65 to 74 (22.4% compared to 25.0%, a difference of 11.5%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 48.0%, a difference of 3.2%), disability age under 5 (1.5% compared to 1.6%, a difference of 3.7%), and cognitive disability (16.5% compared to 17.4%, a difference of 5.6%).
Hungarian vs Nonimmigrants Disability
Disability MetricHungarianNonimmigrants
Disability
Tragic
12.2%
Tragic
13.2%
Males
Tragic
12.0%
Tragic
12.9%
Females
Tragic
12.5%
Tragic
13.4%
Age | Under 5 years
Tragic
1.5%
Tragic
1.6%
Age | 5 to 17 years
Tragic
5.8%
Tragic
6.3%
Age | 18 to 34 years
Tragic
7.1%
Tragic
7.6%
Age | 35 to 64 years
Fair
11.4%
Tragic
13.0%
Age | 65 to 74 years
Exceptional
22.4%
Tragic
25.0%
Age | Over 75 years
Exceptional
46.5%
Tragic
48.0%
Vision
Good
2.1%
Tragic
2.5%
Hearing
Tragic
3.4%
Tragic
3.6%
Cognitive
Exceptional
16.5%
Fair
17.4%
Ambulatory
Tragic
6.3%
Tragic
6.9%
Self-Care
Average
2.5%
Tragic
2.6%