Hungarian vs Lithuanian 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)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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Hungarians

Lithuanians

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

Lithuanian Integration in Hungarian Communities

The statistical analysis conducted on geographies consisting of 398,181,328 people shows a mild positive correlation between the proportion of Lithuanians within Hungarian communities in the United States with a correlation coefficient (R) of 0.327. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.027% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to an increase of 27.0 Lithuanians.
Hungarian Integration in Lithuanian Communities

Hungarian vs Lithuanian Income

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

Hungarian vs Lithuanian Poverty

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

Hungarian vs Lithuanian Unemployment

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

Hungarian vs Lithuanian Labor Participation

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

Hungarian vs Lithuanian Family Structure

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

Hungarian vs Lithuanian Vehicle Availability

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

Hungarian vs Lithuanian Education Level

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

Hungarian vs Lithuanian Disability

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