Korean vs Lithuanian Community Comparison

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Korean
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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Koreans

Lithuanians

Good
Excellent
6,713
SOCIAL INDEX
64.6/ 100
SOCIAL RATING
147th/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK

Lithuanian Integration in Korean Communities

The statistical analysis conducted on geographies consisting of 401,901,243 people shows a moderate negative correlation between the proportion of Lithuanians within Korean communities in the United States with a correlation coefficient (R) of -0.404. On average, for every 1% (one percent) increase in Koreans within a typical geography, there is a decrease of 0.002% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Koreans corresponds to a decrease of 2.5 Lithuanians.
Korean Integration in Lithuanian Communities

Korean vs Lithuanian Income

When considering income, the most significant differences between Korean and Lithuanian communities in the United States are seen in wage/income gap (25.4% compared to 28.7%, a difference of 13.0%), per capita income ($44,522 compared to $49,448, a difference of 11.1%), and median male earnings ($56,672 compared to $61,228, a difference of 8.0%). Conversely, both communities are more comparable in terms of median household income ($95,018 compared to $93,852, a difference of 1.2%), householder income ages 25 - 44 years ($103,824 compared to $105,223, a difference of 1.3%), and householder income ages 45 - 64 years ($110,334 compared to $112,484, a difference of 1.9%).
Korean vs Lithuanian Income
Income MetricKoreanLithuanian
Per Capita Income
Good
$44,522
Exceptional
$49,448
Median Family Income
Exceptional
$110,103
Exceptional
$115,395
Median Household Income
Exceptional
$95,018
Exceptional
$93,852
Median Earnings
Exceptional
$48,727
Exceptional
$50,991
Median Male Earnings
Excellent
$56,672
Exceptional
$61,228
Median Female Earnings
Exceptional
$41,276
Exceptional
$42,108
Householder Age | Under 25 years
Exceptional
$57,730
Exceptional
$53,552
Householder Age | 25 - 44 years
Exceptional
$103,824
Exceptional
$105,223
Householder Age | 45 - 64 years
Exceptional
$110,334
Exceptional
$112,484
Householder Age | Over 65 years
Exceptional
$67,472
Exceptional
$65,209
Wage/Income Gap
Good
25.4%
Tragic
28.7%

Korean vs Lithuanian Poverty

When considering poverty, the most significant differences between Korean and Lithuanian communities in the United States are seen in single father poverty (14.0% compared to 17.3%, a difference of 23.7%), single male poverty (11.0% compared to 13.0%, a difference of 18.4%), and married-couple family poverty (4.6% compared to 4.0%, a difference of 16.2%). Conversely, both communities are more comparable in terms of child poverty among boys under 16 (14.0% compared to 14.0%, a difference of 0.030%), child poverty among girls under 16 (14.1% compared to 13.9%, a difference of 1.3%), and female poverty among 25-34 year olds (12.0% compared to 12.2%, a difference of 2.2%).
Korean vs Lithuanian Poverty
Poverty MetricKoreanLithuanian
Poverty
Exceptional
10.9%
Exceptional
10.5%
Families
Exceptional
7.8%
Exceptional
7.2%
Males
Exceptional
9.9%
Exceptional
9.5%
Females
Exceptional
11.9%
Exceptional
11.4%
Females 18 to 24 years
Exceptional
16.9%
Exceptional
18.7%
Females 25 to 34 years
Exceptional
12.0%
Exceptional
12.2%
Children Under 5 years
Exceptional
14.4%
Exceptional
15.2%
Children Under 16 years
Exceptional
13.9%
Exceptional
13.5%
Boys Under 16 years
Exceptional
14.0%
Exceptional
14.0%
Girls Under 16 years
Exceptional
14.1%
Exceptional
13.9%
Single Males
Exceptional
11.0%
Fair
13.0%
Single Females
Exceptional
18.6%
Exceptional
19.2%
Single Fathers
Exceptional
14.0%
Tragic
17.3%
Single Mothers
Exceptional
26.4%
Exceptional
27.4%
Married Couples
Exceptional
4.6%
Exceptional
4.0%
Seniors Over 65 years
Exceptional
10.1%
Exceptional
9.1%
Seniors Over 75 years
Exceptional
11.5%
Exceptional
10.6%
Receiving Food Stamps
Exceptional
10.4%
Exceptional
9.7%

Korean vs Lithuanian Unemployment

When considering unemployment, the most significant differences between Korean and Lithuanian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.2% compared to 9.4%, a difference of 15.0%), female unemployment (5.4% compared to 4.7%, a difference of 13.9%), and unemployment (5.3% compared to 4.8%, a difference of 11.2%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.3% compared to 10.2%, a difference of 0.71%), unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 0.89%), and unemployment among ages 55 to 59 years (4.8% compared to 4.7%, a difference of 1.5%).
Korean vs Lithuanian Unemployment
Unemployment MetricKoreanLithuanian
Unemployment
Fair
5.3%
Exceptional
4.8%
Males
Fair
5.3%
Exceptional
5.0%
Females
Poor
5.4%
Exceptional
4.7%
Youth < 25
Fair
11.7%
Exceptional
11.3%
Age | 16 to 19 years
Good
17.5%
Exceptional
16.7%
Age | 20 to 24 years
Average
10.3%
Good
10.2%
Age | 25 to 29 years
Fair
6.7%
Good
6.5%
Age | 30 to 34 years
Fair
5.6%
Good
5.4%
Age | 35 to 44 years
Fair
4.8%
Exceptional
4.4%
Age | 45 to 54 years
Good
4.5%
Exceptional
4.3%
Age | 55 to 59 years
Good
4.8%
Excellent
4.7%
Age | 60 to 64 years
Poor
4.9%
Excellent
4.8%
Age | 65 to 74 years
Excellent
5.3%
Fair
5.4%
Seniors > 65
Fair
5.2%
Average
5.1%
Seniors > 75
Fair
8.9%
Tragic
9.9%
Women w/ Children < 6
Excellent
7.5%
Fair
7.8%
Women w/ Children 6 to 17
Exceptional
8.2%
Tragic
9.4%
Women w/ Children < 18
Good
5.4%
Exceptional
5.0%

Korean vs Lithuanian Labor Participation

When considering labor participation, the most significant differences between Korean and Lithuanian communities in the United States are seen in in labor force | age 16-19 (35.7% compared to 40.4%, a difference of 13.2%), in labor force | age 20-24 (75.4% compared to 77.0%, a difference of 2.0%), and in labor force | age 25-29 (84.2% compared to 85.8%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.8% compared to 80.2%, a difference of 0.59%), in labor force | age 45-54 (82.9% compared to 83.6%, a difference of 0.81%), and in labor force | age 35-44 (84.3% compared to 85.2%, a difference of 1.1%).
Korean vs Lithuanian Labor Participation
Labor Participation MetricKoreanLithuanian
In Labor Force | Age > 16
Exceptional
65.7%
Poor
64.8%
In Labor Force | Age 20-64
Good
79.8%
Exceptional
80.2%
In Labor Force | Age 16-19
Poor
35.7%
Exceptional
40.4%
In Labor Force | Age 20-24
Good
75.4%
Exceptional
77.0%
In Labor Force | Age 25-29
Tragic
84.2%
Exceptional
85.8%
In Labor Force | Age 30-34
Fair
84.5%
Exceptional
85.6%
In Labor Force | Age 35-44
Fair
84.3%
Exceptional
85.2%
In Labor Force | Age 45-54
Good
82.9%
Exceptional
83.6%

Korean vs Lithuanian Family Structure

When considering family structure, the most significant differences between Korean and Lithuanian communities in the United States are seen in single father households (2.4% compared to 2.1%, a difference of 13.1%), single mother households (6.0% compared to 5.4%, a difference of 10.8%), and family households with children (29.2% compared to 26.6%, a difference of 9.8%). Conversely, both communities are more comparable in terms of married-couple households (49.7% compared to 48.9%, a difference of 1.7%), births to unmarried women (30.1% compared to 29.6%, a difference of 1.9%), and currently married (47.9% compared to 49.0%, a difference of 2.3%).
Korean vs Lithuanian Family Structure
Family Structure MetricKoreanLithuanian
Family Households
Exceptional
68.3%
Fair
64.0%
Family Households with Children
Exceptional
29.2%
Tragic
26.6%
Married-couple Households
Exceptional
49.7%
Exceptional
48.9%
Average Family Size
Exceptional
3.36
Tragic
3.10
Single Father Households
Fair
2.4%
Exceptional
2.1%
Single Mother Households
Excellent
6.0%
Exceptional
5.4%
Currently Married
Exceptional
47.9%
Exceptional
49.0%
Divorced or Separated
Exceptional
11.3%
Exceptional
11.7%
Births to Unmarried Women
Excellent
30.1%
Exceptional
29.6%

Korean vs Lithuanian Vehicle Availability

When considering vehicle availability, the most significant differences between Korean and Lithuanian communities in the United States are seen in 4 or more vehicles in household (8.6% compared to 6.3%, a difference of 36.7%), 3 or more vehicles in household (24.1% compared to 20.1%, a difference of 19.6%), and no vehicles in household (8.0% compared to 8.4%, a difference of 5.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.1% compared to 91.7%, a difference of 0.40%), 2 or more vehicles in household (61.0% compared to 58.2%, a difference of 4.7%), and no vehicles in household (8.0% compared to 8.4%, a difference of 5.5%).
Korean vs Lithuanian Vehicle Availability
Vehicle Availability MetricKoreanLithuanian
No Vehicles Available
Exceptional
8.0%
Exceptional
8.4%
1+ Vehicles Available
Exceptional
92.1%
Exceptional
91.7%
2+ Vehicles Available
Exceptional
61.0%
Exceptional
58.2%
3+ Vehicles Available
Exceptional
24.1%
Excellent
20.1%
4+ Vehicles Available
Exceptional
8.6%
Average
6.3%

Korean vs Lithuanian Education Level

When considering education level, the most significant differences between Korean and Lithuanian communities in the United States are seen in no schooling completed (2.4% compared to 1.4%, a difference of 65.5%), professional degree (4.1% compared to 5.4%, a difference of 32.3%), and doctorate degree (1.7% compared to 2.3%, a difference of 31.5%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 98.6%, a difference of 0.98%), kindergarten (97.6% compared to 98.6%, a difference of 0.99%), and 1st grade (97.6% compared to 98.6%, a difference of 1.0%).
Korean vs Lithuanian Education Level
Education Level MetricKoreanLithuanian
No Schooling Completed
Tragic
2.4%
Exceptional
1.4%
Nursery School
Tragic
97.7%
Exceptional
98.6%
Kindergarten
Tragic
97.6%
Exceptional
98.6%
1st Grade
Tragic
97.6%
Exceptional
98.6%
2nd Grade
Tragic
97.5%
Exceptional
98.5%
3rd Grade
Tragic
97.4%
Exceptional
98.5%
4th Grade
Tragic
97.1%
Exceptional
98.3%
5th Grade
Tragic
96.9%
Exceptional
98.2%
6th Grade
Tragic
96.6%
Exceptional
98.1%
7th Grade
Tragic
95.3%
Exceptional
97.5%
8th Grade
Tragic
95.0%
Exceptional
97.3%
9th Grade
Tragic
94.3%
Exceptional
96.6%
10th Grade
Tragic
93.2%
Exceptional
95.8%
11th Grade
Poor
92.1%
Exceptional
94.8%
12th Grade, No Diploma
Fair
90.8%
Exceptional
93.6%
High School Diploma
Poor
88.6%
Exceptional
92.0%
GED/Equivalency
Average
85.6%
Exceptional
88.9%
College, Under 1 year
Good
65.9%
Exceptional
68.8%
College, 1 year or more
Average
59.7%
Exceptional
62.9%
Associate's Degree
Fair
45.8%
Exceptional
50.6%
Bachelor's Degree
Fair
37.0%
Exceptional
42.2%
Master's Degree
Poor
14.0%
Exceptional
17.7%
Professional Degree
Poor
4.1%
Exceptional
5.4%
Doctorate Degree
Poor
1.7%
Exceptional
2.3%

Korean vs Lithuanian Disability

When considering disability, the most significant differences between Korean and Lithuanian communities in the United States are seen in disability age under 5 (1.2% compared to 1.6%, a difference of 31.7%), disability age 5 to 17 (5.1% compared to 5.8%, a difference of 14.2%), and disability age 18 to 34 (6.3% compared to 7.0%, a difference of 10.8%). Conversely, both communities are more comparable in terms of ambulatory disability (5.9% compared to 6.0%, a difference of 1.2%), vision disability (2.1% compared to 2.0%, a difference of 1.7%), and disability age 35 to 64 (10.5% compared to 10.8%, a difference of 3.2%).
Korean vs Lithuanian Disability
Disability MetricKoreanLithuanian
Disability
Exceptional
11.3%
Poor
11.9%
Males
Good
11.0%
Tragic
11.6%
Females
Exceptional
11.7%
Average
12.2%
Age | Under 5 years
Excellent
1.2%
Tragic
1.6%
Age | 5 to 17 years
Exceptional
5.1%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
6.3%
Tragic
7.0%
Age | 35 to 64 years
Exceptional
10.5%
Excellent
10.8%
Age | 65 to 74 years
Good
23.1%
Exceptional
21.4%
Age | Over 75 years
Tragic
48.6%
Exceptional
45.1%
Vision
Exceptional
2.1%
Exceptional
2.0%
Hearing
Fair
3.1%
Tragic
3.4%
Cognitive
Exceptional
16.8%
Exceptional
16.3%
Ambulatory
Exceptional
5.9%
Excellent
6.0%
Self-Care
Poor
2.5%
Exceptional
2.4%