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

Social Comparison

Lithuanians

Koreans

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

Korean Integration in Lithuanian Communities

The statistical analysis conducted on geographies consisting of 401,907,630 people shows a weak positive correlation between the proportion of Koreans within Lithuanian communities in the United States with a correlation coefficient (R) of 0.206. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.038% in Koreans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 37.7 Koreans.
Lithuanian Integration in Korean Communities

Lithuanian vs Korean Income

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

Lithuanian vs Korean Poverty

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

Lithuanian vs Korean Unemployment

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

Lithuanian vs Korean Labor Participation

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

Lithuanian vs Korean Family Structure

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

Lithuanian vs Korean Vehicle Availability

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

Lithuanian vs Korean Education Level

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

Lithuanian vs Korean Disability

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