European vs Lithuanian Community Comparison

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European
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 EuropeanEcuadorianEgyptianEnglishEstonianEthiopianFijianFilipinoFinnishFrenchFrench 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 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

Europeans

Lithuanians

Good
Excellent
8,117
SOCIAL INDEX
78.6/ 100
SOCIAL RATING
87th/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK

Lithuanian Integration in European Communities

The statistical analysis conducted on geographies consisting of 418,792,693 people shows a substantial positive correlation between the proportion of Lithuanians within European communities in the United States with a correlation coefficient (R) of 0.588. On average, for every 1% (one percent) increase in Europeans within a typical geography, there is an increase of 0.077% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Europeans corresponds to an increase of 77.2 Lithuanians.
European Integration in Lithuanian Communities

European vs Lithuanian Income

When considering income, the most significant differences between European and Lithuanian communities in the United States are seen in per capita income ($45,836 compared to $49,448, a difference of 7.9%), householder income ages 25 - 44 years ($98,310 compared to $105,223, a difference of 7.0%), and median family income ($108,099 compared to $115,395, a difference of 6.8%). Conversely, both communities are more comparable in terms of wage/income gap (29.4% compared to 28.7%, a difference of 2.2%), householder income over 65 years ($63,779 compared to $65,209, a difference of 2.2%), and householder income under 25 years ($51,796 compared to $53,552, a difference of 3.4%).
European vs Lithuanian Income
Income MetricEuropeanLithuanian
Per Capita Income
Exceptional
$45,836
Exceptional
$49,448
Median Family Income
Exceptional
$108,099
Exceptional
$115,395
Median Household Income
Exceptional
$88,751
Exceptional
$93,852
Median Earnings
Excellent
$47,915
Exceptional
$50,991
Median Male Earnings
Exceptional
$57,637
Exceptional
$61,228
Median Female Earnings
Fair
$39,457
Exceptional
$42,108
Householder Age | Under 25 years
Fair
$51,796
Exceptional
$53,552
Householder Age | 25 - 44 years
Excellent
$98,310
Exceptional
$105,223
Householder Age | 45 - 64 years
Exceptional
$106,367
Exceptional
$112,484
Householder Age | Over 65 years
Exceptional
$63,779
Exceptional
$65,209
Wage/Income Gap
Tragic
29.4%
Tragic
28.7%

European vs Lithuanian Poverty

When considering poverty, the most significant differences between European and Lithuanian communities in the United States are seen in single female poverty (21.1% compared to 19.2%, a difference of 9.9%), female poverty among 18-24 year olds (20.4% compared to 18.7%, a difference of 9.4%), and female poverty among 25-34 year olds (13.2% compared to 12.2%, a difference of 7.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (10.5% compared to 10.6%, a difference of 0.70%), seniors poverty over the age of 65 (9.2% compared to 9.1%, a difference of 1.1%), and receiving food stamps (9.5% compared to 9.7%, a difference of 1.8%).
European vs Lithuanian Poverty
Poverty MetricEuropeanLithuanian
Poverty
Exceptional
11.3%
Exceptional
10.5%
Families
Exceptional
7.7%
Exceptional
7.2%
Males
Exceptional
10.2%
Exceptional
9.5%
Females
Exceptional
12.3%
Exceptional
11.4%
Females 18 to 24 years
Poor
20.4%
Exceptional
18.7%
Females 25 to 34 years
Good
13.2%
Exceptional
12.2%
Children Under 5 years
Exceptional
15.9%
Exceptional
15.2%
Children Under 16 years
Exceptional
14.3%
Exceptional
13.5%
Boys Under 16 years
Exceptional
14.5%
Exceptional
14.0%
Girls Under 16 years
Exceptional
14.6%
Exceptional
13.9%
Single Males
Tragic
13.3%
Fair
13.0%
Single Females
Average
21.1%
Exceptional
19.2%
Single Fathers
Poor
16.6%
Tragic
17.3%
Single Mothers
Average
29.1%
Exceptional
27.4%
Married Couples
Exceptional
4.2%
Exceptional
4.0%
Seniors Over 65 years
Exceptional
9.2%
Exceptional
9.1%
Seniors Over 75 years
Exceptional
10.5%
Exceptional
10.6%
Receiving Food Stamps
Exceptional
9.5%
Exceptional
9.7%

European vs Lithuanian Unemployment

When considering unemployment, the most significant differences between European and Lithuanian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.7% compared to 9.4%, a difference of 7.9%), unemployment among ages 65 to 74 years (5.1% compared to 5.4%, a difference of 5.5%), and unemployment among ages 20 to 24 years (9.7% compared to 10.2%, a difference of 5.4%). Conversely, both communities are more comparable in terms of female unemployment (4.7% compared to 4.7%, a difference of 1.2%), unemployment among ages 25 to 29 years (6.4% compared to 6.5%, a difference of 1.6%), and unemployment among seniors over 75 years (9.7% compared to 9.9%, a difference of 2.3%).
European vs Lithuanian Unemployment
Unemployment MetricEuropeanLithuanian
Unemployment
Exceptional
4.6%
Exceptional
4.8%
Males
Exceptional
4.8%
Exceptional
5.0%
Females
Exceptional
4.7%
Exceptional
4.7%
Youth < 25
Exceptional
10.8%
Exceptional
11.3%
Age | 16 to 19 years
Exceptional
16.1%
Exceptional
16.7%
Age | 20 to 24 years
Exceptional
9.7%
Good
10.2%
Age | 25 to 29 years
Excellent
6.4%
Good
6.5%
Age | 30 to 34 years
Exceptional
5.2%
Good
5.4%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
4.4%
Age | 45 to 54 years
Exceptional
4.1%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.5%
Excellent
4.7%
Age | 60 to 64 years
Exceptional
4.5%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.1%
Fair
5.4%
Seniors > 65
Exceptional
4.9%
Average
5.1%
Seniors > 75
Tragic
9.7%
Tragic
9.9%
Women w/ Children < 6
Good
7.5%
Fair
7.8%
Women w/ Children 6 to 17
Exceptional
8.7%
Tragic
9.4%
Women w/ Children < 18
Exceptional
4.9%
Exceptional
5.0%

European vs Lithuanian Labor Participation

When considering labor participation, the most significant differences between European and Lithuanian communities in the United States are seen in in labor force | age 16-19 (41.1% compared to 40.4%, a difference of 1.7%), in labor force | age 30-34 (84.3% compared to 85.6%, 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 (77.1% compared to 77.0%, a difference of 0.16%), in labor force | age > 16 (64.7% compared to 64.8%, a difference of 0.24%), and in labor force | age 45-54 (82.6% compared to 83.6%, a difference of 1.2%).
European vs Lithuanian Labor Participation
Labor Participation MetricEuropeanLithuanian
In Labor Force | Age > 16
Tragic
64.7%
Poor
64.8%
In Labor Force | Age 20-64
Poor
79.3%
Exceptional
80.2%
In Labor Force | Age 16-19
Exceptional
41.1%
Exceptional
40.4%
In Labor Force | Age 20-24
Exceptional
77.1%
Exceptional
77.0%
In Labor Force | Age 25-29
Average
84.6%
Exceptional
85.8%
In Labor Force | Age 30-34
Tragic
84.3%
Exceptional
85.6%
In Labor Force | Age 35-44
Poor
84.1%
Exceptional
85.2%
In Labor Force | Age 45-54
Fair
82.6%
Exceptional
83.6%

European vs Lithuanian Family Structure

When considering family structure, the most significant differences between European and Lithuanian communities in the United States are seen in single father households (2.3% compared to 2.1%, a difference of 7.8%), single mother households (5.7% compared to 5.4%, a difference of 5.1%), and family households with children (27.9% compared to 26.6%, a difference of 5.0%). Conversely, both communities are more comparable in terms of currently married (49.3% compared to 49.0%, a difference of 0.68%), average family size (3.14 compared to 3.10, a difference of 1.2%), and married-couple households (49.6% compared to 48.9%, a difference of 1.4%).
European vs Lithuanian Family Structure
Family Structure MetricEuropeanLithuanian
Family Households
Exceptional
65.0%
Fair
64.0%
Family Households with Children
Exceptional
27.9%
Tragic
26.6%
Married-couple Households
Exceptional
49.6%
Exceptional
48.9%
Average Family Size
Tragic
3.14
Tragic
3.10
Single Father Households
Excellent
2.3%
Exceptional
2.1%
Single Mother Households
Exceptional
5.7%
Exceptional
5.4%
Currently Married
Exceptional
49.3%
Exceptional
49.0%
Divorced or Separated
Poor
12.2%
Exceptional
11.7%
Births to Unmarried Women
Excellent
30.2%
Exceptional
29.6%

European vs Lithuanian Vehicle Availability

When considering vehicle availability, the most significant differences between European and Lithuanian communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.3%, a difference of 20.0%), no vehicles in household (7.1% compared to 8.4%, a difference of 18.5%), and 3 or more vehicles in household (22.9% compared to 20.1%, a difference of 13.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.0% compared to 91.7%, a difference of 1.4%), 2 or more vehicles in household (61.4% compared to 58.2%, a difference of 5.4%), and 3 or more vehicles in household (22.9% compared to 20.1%, a difference of 13.6%).
European vs Lithuanian Vehicle Availability
Vehicle Availability MetricEuropeanLithuanian
No Vehicles Available
Exceptional
7.1%
Exceptional
8.4%
1+ Vehicles Available
Exceptional
93.0%
Exceptional
91.7%
2+ Vehicles Available
Exceptional
61.4%
Exceptional
58.2%
3+ Vehicles Available
Exceptional
22.9%
Excellent
20.1%
4+ Vehicles Available
Exceptional
7.6%
Average
6.3%

European vs Lithuanian Education Level

When considering education level, the most significant differences between European and Lithuanian communities in the United States are seen in master's degree (15.8% compared to 17.7%, a difference of 12.3%), professional degree (4.8% compared to 5.4%, a difference of 11.5%), and doctorate degree (2.1% compared to 2.3%, a difference of 8.3%). Conversely, both communities are more comparable in terms of 1st grade (98.5% compared to 98.6%, a difference of 0.030%), nursery school (98.6% compared to 98.6%, a difference of 0.040%), and kindergarten (98.6% compared to 98.6%, a difference of 0.040%).
European vs Lithuanian Education Level
Education Level MetricEuropeanLithuanian
No Schooling Completed
Exceptional
1.5%
Exceptional
1.4%
Nursery School
Exceptional
98.6%
Exceptional
98.6%
Kindergarten
Exceptional
98.6%
Exceptional
98.6%
1st Grade
Exceptional
98.5%
Exceptional
98.6%
2nd Grade
Exceptional
98.5%
Exceptional
98.5%
3rd Grade
Exceptional
98.4%
Exceptional
98.5%
4th Grade
Exceptional
98.3%
Exceptional
98.3%
5th Grade
Exceptional
98.2%
Exceptional
98.2%
6th Grade
Exceptional
98.0%
Exceptional
98.1%
7th Grade
Exceptional
97.3%
Exceptional
97.5%
8th Grade
Exceptional
97.1%
Exceptional
97.3%
9th Grade
Exceptional
96.4%
Exceptional
96.6%
10th Grade
Exceptional
95.5%
Exceptional
95.8%
11th Grade
Exceptional
94.4%
Exceptional
94.8%
12th Grade, No Diploma
Exceptional
93.1%
Exceptional
93.6%
High School Diploma
Exceptional
91.4%
Exceptional
92.0%
GED/Equivalency
Exceptional
87.9%
Exceptional
88.9%
College, Under 1 year
Exceptional
68.2%
Exceptional
68.8%
College, 1 year or more
Exceptional
61.8%
Exceptional
62.9%
Associate's Degree
Excellent
48.2%
Exceptional
50.6%
Bachelor's Degree
Excellent
39.5%
Exceptional
42.2%
Master's Degree
Excellent
15.8%
Exceptional
17.7%
Professional Degree
Exceptional
4.8%
Exceptional
5.4%
Doctorate Degree
Exceptional
2.1%
Exceptional
2.3%

European vs Lithuanian Disability

When considering disability, the most significant differences between European and Lithuanian communities in the United States are seen in disability age 65 to 74 (23.2% compared to 21.4%, a difference of 8.4%), disability age 35 to 64 (11.7% compared to 10.8%, a difference of 8.2%), and vision disability (2.2% compared to 2.0%, a difference of 8.0%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.8%, a difference of 0.52%), self-care disability (2.4% compared to 2.4%, a difference of 0.97%), and female disability (12.4% compared to 12.2%, a difference of 2.2%).
European vs Lithuanian Disability
Disability MetricEuropeanLithuanian
Disability
Tragic
12.3%
Poor
11.9%
Males
Tragic
12.1%
Tragic
11.6%
Females
Poor
12.4%
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
7.4%
Tragic
7.0%
Age | 35 to 64 years
Poor
11.7%
Excellent
10.8%
Age | 65 to 74 years
Good
23.2%
Exceptional
21.4%
Age | Over 75 years
Exceptional
46.7%
Exceptional
45.1%
Vision
Fair
2.2%
Exceptional
2.0%
Hearing
Tragic
3.5%
Tragic
3.4%
Cognitive
Exceptional
17.0%
Exceptional
16.3%
Ambulatory
Fair
6.2%
Excellent
6.0%
Self-Care
Exceptional
2.4%
Exceptional
2.4%