Lithuanian vs Hungarian Community Comparison

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Lithuanian
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
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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Lithuanians

Hungarians

Excellent
Good
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK
6,572
SOCIAL INDEX
63.2/ 100
SOCIAL RATING
149th/ 347
SOCIAL RANK

Hungarian Integration in Lithuanian Communities

The statistical analysis conducted on geographies consisting of 398,182,403 people shows a weak positive correlation between the proportion of Hungarians within Lithuanian communities in the United States with a correlation coefficient (R) of 0.207. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.053% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 53.4 Hungarians.
Lithuanian Integration in Hungarian Communities

Lithuanian vs Hungarian Income

When considering income, the most significant differences between Lithuanian and Hungarian communities in the United States are seen in median family income ($115,395 compared to $105,609, a difference of 9.3%), per capita income ($49,448 compared to $45,426, a difference of 8.8%), and householder income ages 45 - 64 years ($112,484 compared to $103,913, a difference of 8.3%). Conversely, both communities are more comparable in terms of wage/income gap (28.7% compared to 29.0%, a difference of 0.98%), householder income over 65 years ($65,209 compared to $61,673, a difference of 5.7%), and median female earnings ($42,108 compared to $39,510, a difference of 6.6%).
Lithuanian vs Hungarian Income
Income MetricLithuanianHungarian
Per Capita Income
Exceptional
$49,448
Excellent
$45,426
Median Family Income
Exceptional
$115,395
Excellent
$105,609
Median Household Income
Exceptional
$93,852
Good
$86,920
Median Earnings
Exceptional
$50,991
Excellent
$47,795
Median Male Earnings
Exceptional
$61,228
Exceptional
$57,309
Median Female Earnings
Exceptional
$42,108
Average
$39,510
Householder Age | Under 25 years
Exceptional
$53,552
Tragic
$50,247
Householder Age | 25 - 44 years
Exceptional
$105,223
Excellent
$97,544
Householder Age | 45 - 64 years
Exceptional
$112,484
Excellent
$103,913
Householder Age | Over 65 years
Exceptional
$65,209
Good
$61,673
Wage/Income Gap
Tragic
28.7%
Tragic
29.0%

Lithuanian vs Hungarian Poverty

When considering poverty, the most significant differences between Lithuanian and Hungarian communities in the United States are seen in married-couple family poverty (4.0% compared to 5.3%, a difference of 34.2%), family poverty (7.2% compared to 8.8%, a difference of 22.4%), and child poverty among girls under 16 (13.9% compared to 16.6%, a difference of 19.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (10.6% compared to 11.2%, a difference of 5.9%), single male poverty (13.0% compared to 13.8%, a difference of 5.9%), and female poverty among 18-24 year olds (18.7% compared to 19.8%, a difference of 6.0%).
Lithuanian vs Hungarian Poverty
Poverty MetricLithuanianHungarian
Poverty
Exceptional
10.5%
Good
12.2%
Families
Exceptional
7.2%
Good
8.8%
Males
Exceptional
9.5%
Average
11.1%
Females
Exceptional
11.4%
Good
13.2%
Females 18 to 24 years
Exceptional
18.7%
Good
19.8%
Females 25 to 34 years
Exceptional
12.2%
Poor
14.1%
Children Under 5 years
Exceptional
15.2%
Poor
17.9%
Children Under 16 years
Exceptional
13.5%
Average
16.2%
Boys Under 16 years
Exceptional
14.0%
Average
16.5%
Girls Under 16 years
Exceptional
13.9%
Average
16.6%
Single Males
Fair
13.0%
Tragic
13.8%
Single Females
Exceptional
19.2%
Fair
21.1%
Single Fathers
Tragic
17.3%
Tragic
18.5%
Single Mothers
Exceptional
27.4%
Poor
29.9%
Married Couples
Exceptional
4.0%
Fair
5.3%
Seniors Over 65 years
Exceptional
9.1%
Exceptional
9.7%
Seniors Over 75 years
Exceptional
10.6%
Exceptional
11.2%
Receiving Food Stamps
Exceptional
9.7%
Excellent
11.0%

Lithuanian vs Hungarian Unemployment

When considering unemployment, the most significant differences between Lithuanian and Hungarian communities in the United States are seen in unemployment among ages 35 to 44 years (4.4% compared to 4.6%, a difference of 5.2%), unemployment among ages 45 to 54 years (4.3% compared to 4.5%, a difference of 4.6%), and female unemployment (4.7% compared to 4.9%, a difference of 4.1%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.2% compared to 10.2%, a difference of 0.20%), unemployment among women with children under 6 years (7.8% compared to 7.8%, a difference of 0.76%), and unemployment among youth under 25 years (11.3% compared to 11.4%, a difference of 1.2%).
Lithuanian vs Hungarian Unemployment
Unemployment MetricLithuanianHungarian
Unemployment
Exceptional
4.8%
Exceptional
5.0%
Males
Exceptional
5.0%
Excellent
5.2%
Females
Exceptional
4.7%
Exceptional
4.9%
Youth < 25
Exceptional
11.3%
Excellent
11.4%
Age | 16 to 19 years
Exceptional
16.7%
Exceptional
17.1%
Age | 20 to 24 years
Good
10.2%
Good
10.2%
Age | 25 to 29 years
Good
6.5%
Fair
6.8%
Age | 30 to 34 years
Good
5.4%
Average
5.5%
Age | 35 to 44 years
Exceptional
4.4%
Good
4.6%
Age | 45 to 54 years
Exceptional
4.3%
Good
4.5%
Age | 55 to 59 years
Excellent
4.7%
Average
4.8%
Age | 60 to 64 years
Excellent
4.8%
Average
4.9%
Age | 65 to 74 years
Fair
5.4%
Tragic
5.5%
Seniors > 65
Average
5.1%
Tragic
5.3%
Seniors > 75
Tragic
9.9%
Tragic
10.1%
Women w/ Children < 6
Fair
7.8%
Fair
7.8%
Women w/ Children 6 to 17
Tragic
9.4%
Tragic
9.3%
Women w/ Children < 18
Exceptional
5.0%
Excellent
5.3%

Lithuanian vs Hungarian Labor Participation

When considering labor participation, the most significant differences between Lithuanian and Hungarian communities in the United States are seen in in labor force | age > 16 (64.8% compared to 63.8%, a difference of 1.6%), in labor force | age 16-19 (40.4% compared to 39.8%, a difference of 1.5%), and in labor force | age 25-29 (85.8% compared to 84.6%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.0% compared to 76.3%, a difference of 0.89%), in labor force | age 45-54 (83.6% compared to 82.7%, a difference of 1.1%), and in labor force | age 35-44 (85.2% compared to 84.2%, a difference of 1.2%).
Lithuanian vs Hungarian Labor Participation
Labor Participation MetricLithuanianHungarian
In Labor Force | Age > 16
Poor
64.8%
Tragic
63.8%
In Labor Force | Age 20-64
Exceptional
80.2%
Tragic
79.2%
In Labor Force | Age 16-19
Exceptional
40.4%
Exceptional
39.8%
In Labor Force | Age 20-24
Exceptional
77.0%
Exceptional
76.3%
In Labor Force | Age 25-29
Exceptional
85.8%
Average
84.6%
In Labor Force | Age 30-34
Exceptional
85.6%
Fair
84.5%
In Labor Force | Age 35-44
Exceptional
85.2%
Fair
84.2%
In Labor Force | Age 45-54
Exceptional
83.6%
Fair
82.7%

Lithuanian vs Hungarian Family Structure

When considering family structure, the most significant differences between Lithuanian and Hungarian communities in the United States are seen in births to unmarried women (29.6% compared to 31.2%, a difference of 5.7%), single mother households (5.4% compared to 5.7%, a difference of 4.4%), and family households with children (26.6% compared to 27.6%, a difference of 3.9%). Conversely, both communities are more comparable in terms of currently married (49.0% compared to 48.8%, a difference of 0.37%), married-couple households (48.9% compared to 49.1%, a difference of 0.40%), and family households (64.0% compared to 64.9%, a difference of 1.3%).
Lithuanian vs Hungarian Family Structure
Family Structure MetricLithuanianHungarian
Family Households
Fair
64.0%
Exceptional
64.9%
Family Households with Children
Tragic
26.6%
Good
27.6%
Married-couple Households
Exceptional
48.9%
Exceptional
49.1%
Average Family Size
Tragic
3.10
Tragic
3.18
Single Father Households
Exceptional
2.1%
Exceptional
2.2%
Single Mother Households
Exceptional
5.4%
Exceptional
5.7%
Currently Married
Exceptional
49.0%
Exceptional
48.8%
Divorced or Separated
Exceptional
11.7%
Good
12.0%
Births to Unmarried Women
Exceptional
29.6%
Good
31.2%

Lithuanian vs Hungarian Vehicle Availability

When considering vehicle availability, the most significant differences between Lithuanian and Hungarian communities in the United States are seen in no vehicles in household (8.4% compared to 9.9%, a difference of 17.6%), 2 or more vehicles in household (58.2% compared to 56.5%, a difference of 3.1%), and 1 or more vehicles in household (91.7% compared to 90.3%, a difference of 1.5%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.3% compared to 6.4%, a difference of 1.1%), 1 or more vehicles in household (91.7% compared to 90.3%, a difference of 1.5%), and 3 or more vehicles in household (20.1% compared to 19.8%, a difference of 1.5%).
Lithuanian vs Hungarian Vehicle Availability
Vehicle Availability MetricLithuanianHungarian
No Vehicles Available
Exceptional
8.4%
Excellent
9.9%
1+ Vehicles Available
Exceptional
91.7%
Excellent
90.3%
2+ Vehicles Available
Exceptional
58.2%
Excellent
56.5%
3+ Vehicles Available
Excellent
20.1%
Good
19.8%
4+ Vehicles Available
Average
6.3%
Good
6.4%

Lithuanian vs Hungarian Education Level

When considering education level, the most significant differences between Lithuanian and Hungarian communities in the United States are seen in doctorate degree (2.3% compared to 1.9%, a difference of 18.8%), professional degree (5.4% compared to 4.6%, a difference of 16.1%), and master's degree (17.7% compared to 15.6%, a difference of 14.1%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.5%, a difference of 0.15%), kindergarten (98.6% compared to 98.5%, a difference of 0.15%), and 1st grade (98.6% compared to 98.4%, a difference of 0.16%).
Lithuanian vs Hungarian Education Level
Education Level MetricLithuanianHungarian
No Schooling Completed
Exceptional
1.4%
Exceptional
1.6%
Nursery School
Exceptional
98.6%
Exceptional
98.5%
Kindergarten
Exceptional
98.6%
Exceptional
98.5%
1st Grade
Exceptional
98.6%
Exceptional
98.4%
2nd Grade
Exceptional
98.5%
Exceptional
98.4%
3rd Grade
Exceptional
98.5%
Exceptional
98.3%
4th Grade
Exceptional
98.3%
Exceptional
98.2%
5th Grade
Exceptional
98.2%
Exceptional
98.0%
6th Grade
Exceptional
98.1%
Exceptional
97.8%
7th Grade
Exceptional
97.5%
Exceptional
97.2%
8th Grade
Exceptional
97.3%
Exceptional
97.0%
9th Grade
Exceptional
96.6%
Exceptional
96.2%
10th Grade
Exceptional
95.8%
Exceptional
95.3%
11th Grade
Exceptional
94.8%
Exceptional
94.2%
12th Grade, No Diploma
Exceptional
93.6%
Exceptional
92.8%
High School Diploma
Exceptional
92.0%
Exceptional
90.8%
GED/Equivalency
Exceptional
88.9%
Exceptional
87.4%
College, Under 1 year
Exceptional
68.8%
Average
65.6%
College, 1 year or more
Exceptional
62.9%
Average
59.5%
Associate's Degree
Exceptional
50.6%
Average
46.7%
Bachelor's Degree
Exceptional
42.2%
Good
38.3%
Master's Degree
Exceptional
17.7%
Good
15.6%
Professional Degree
Exceptional
5.4%
Excellent
4.6%
Doctorate Degree
Exceptional
2.3%
Good
1.9%

Lithuanian vs Hungarian Disability

When considering disability, the most significant differences between Lithuanian and Hungarian communities in the United States are seen in disability age 35 to 64 (10.8% compared to 11.4%, a difference of 5.7%), self-care disability (2.4% compared to 2.5%, a difference of 5.1%), and ambulatory disability (6.0% compared to 6.3%, a difference of 5.1%). Conversely, both communities are more comparable in terms of disability age under 5 (1.6% compared to 1.5%, a difference of 0.83%), hearing disability (3.4% compared to 3.4%, a difference of 0.99%), and disability age 5 to 17 (5.8% compared to 5.8%, a difference of 1.2%).
Lithuanian vs Hungarian Disability
Disability MetricLithuanianHungarian
Disability
Poor
11.9%
Tragic
12.2%
Males
Tragic
11.6%
Tragic
12.0%
Females
Average
12.2%
Tragic
12.5%
Age | Under 5 years
Tragic
1.6%
Tragic
1.5%
Age | 5 to 17 years
Tragic
5.8%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.0%
Tragic
7.1%
Age | 35 to 64 years
Excellent
10.8%
Fair
11.4%
Age | 65 to 74 years
Exceptional
21.4%
Exceptional
22.4%
Age | Over 75 years
Exceptional
45.1%
Exceptional
46.5%
Vision
Exceptional
2.0%
Good
2.1%
Hearing
Tragic
3.4%
Tragic
3.4%
Cognitive
Exceptional
16.3%
Exceptional
16.5%
Ambulatory
Excellent
6.0%
Tragic
6.3%
Self-Care
Exceptional
2.4%
Average
2.5%