Lithuanian vs Marshallese Community Comparison

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Lithuanian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChoctawColombianComancheCosta RicanCreeCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'ik
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin 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 EuropeZaireZimbabweAzores
Marshallese
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

Marshallese

Excellent
Fair
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK
2,873
SOCIAL INDEX
26.3/ 100
SOCIAL RATING
240th/ 347
SOCIAL RANK

Marshallese Integration in Lithuanian Communities

The statistical analysis conducted on geographies consisting of 13,298,116 people shows a moderate positive correlation between the proportion of Marshallese within Lithuanian communities in the United States with a correlation coefficient (R) of 0.466. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.211% in Marshallese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 211.3 Marshallese.
Lithuanian Integration in Marshallese Communities

Lithuanian vs Marshallese Income

When considering income, the most significant differences between Lithuanian and Marshallese communities in the United States are seen in median male earnings ($61,228 compared to $48,137, a difference of 27.2%), per capita income ($49,448 compared to $39,108, a difference of 26.4%), and householder income ages 25 - 44 years ($105,223 compared to $83,575, a difference of 25.9%). Conversely, both communities are more comparable in terms of householder income over 65 years ($65,209 compared to $65,874, a difference of 1.0%), householder income under 25 years ($53,552 compared to $50,627, a difference of 5.8%), and median female earnings ($42,108 compared to $36,459, a difference of 15.5%).
Lithuanian vs Marshallese Income
Income MetricLithuanianMarshallese
Per Capita Income
Exceptional
$49,448
Tragic
$39,108
Median Family Income
Exceptional
$115,395
Tragic
$95,293
Median Household Income
Exceptional
$93,852
Tragic
$78,930
Median Earnings
Exceptional
$50,991
Tragic
$41,969
Median Male Earnings
Exceptional
$61,228
Tragic
$48,137
Median Female Earnings
Exceptional
$42,108
Tragic
$36,459
Householder Age | Under 25 years
Exceptional
$53,552
Tragic
$50,627
Householder Age | 25 - 44 years
Exceptional
$105,223
Tragic
$83,575
Householder Age | 45 - 64 years
Exceptional
$112,484
Tragic
$90,455
Householder Age | Over 65 years
Exceptional
$65,209
Exceptional
$65,874
Wage/Income Gap
Tragic
28.7%
Exceptional
23.4%

Lithuanian vs Marshallese Poverty

When considering poverty, the most significant differences between Lithuanian and Marshallese communities in the United States are seen in receiving food stamps (9.7% compared to 14.1%, a difference of 45.7%), family poverty (7.2% compared to 9.9%, a difference of 38.5%), and child poverty among girls under 16 (13.9% compared to 18.7%, a difference of 34.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (10.6% compared to 10.7%, a difference of 1.4%), single father poverty (17.3% compared to 16.9%, a difference of 2.2%), and female poverty among 18-24 year olds (18.7% compared to 20.9%, a difference of 11.9%).
Lithuanian vs Marshallese Poverty
Poverty MetricLithuanianMarshallese
Poverty
Exceptional
10.5%
Tragic
13.4%
Families
Exceptional
7.2%
Tragic
9.9%
Males
Exceptional
9.5%
Tragic
12.5%
Females
Exceptional
11.4%
Tragic
14.4%
Females 18 to 24 years
Exceptional
18.7%
Tragic
20.9%
Females 25 to 34 years
Exceptional
12.2%
Tragic
15.3%
Children Under 5 years
Exceptional
15.2%
Tragic
19.7%
Children Under 16 years
Exceptional
13.5%
Tragic
18.1%
Boys Under 16 years
Exceptional
14.0%
Tragic
18.4%
Girls Under 16 years
Exceptional
13.9%
Tragic
18.7%
Single Males
Fair
13.0%
Tragic
16.4%
Single Females
Exceptional
19.2%
Tragic
23.3%
Single Fathers
Tragic
17.3%
Tragic
16.9%
Single Mothers
Exceptional
27.4%
Tragic
32.1%
Married Couples
Exceptional
4.0%
Average
5.2%
Seniors Over 65 years
Exceptional
9.1%
Exceptional
10.2%
Seniors Over 75 years
Exceptional
10.6%
Exceptional
10.7%
Receiving Food Stamps
Exceptional
9.7%
Tragic
14.1%

Lithuanian vs Marshallese Unemployment

When considering unemployment, the most significant differences between Lithuanian and Marshallese communities in the United States are seen in unemployment among ages 30 to 34 years (5.4% compared to 7.2%, a difference of 34.9%), unemployment among ages 35 to 44 years (4.4% compared to 5.9%, a difference of 33.7%), and unemployment among ages 60 to 64 years (4.8% compared to 3.7%, a difference of 27.2%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.3%, a difference of 3.0%), unemployment among ages 25 to 29 years (6.5% compared to 6.4%, a difference of 3.1%), and unemployment among ages 45 to 54 years (4.3% compared to 4.5%, a difference of 4.8%).
Lithuanian vs Marshallese Unemployment
Unemployment MetricLithuanianMarshallese
Unemployment
Exceptional
4.8%
Tragic
5.6%
Males
Exceptional
5.0%
Tragic
5.7%
Females
Exceptional
4.7%
Tragic
5.6%
Youth < 25
Exceptional
11.3%
Poor
11.8%
Age | 16 to 19 years
Exceptional
16.7%
Average
17.6%
Age | 20 to 24 years
Good
10.2%
Tragic
11.0%
Age | 25 to 29 years
Good
6.5%
Exceptional
6.4%
Age | 30 to 34 years
Good
5.4%
Tragic
7.2%
Age | 35 to 44 years
Exceptional
4.4%
Tragic
5.9%
Age | 45 to 54 years
Exceptional
4.3%
Good
4.5%
Age | 55 to 59 years
Excellent
4.7%
Tragic
5.5%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
3.7%
Age | 65 to 74 years
Fair
5.4%
Tragic
5.7%
Seniors > 65
Average
5.1%
Tragic
5.3%
Seniors > 75
Tragic
9.9%
Exceptional
8.2%
Women w/ Children < 6
Fair
7.8%
Tragic
9.6%
Women w/ Children 6 to 17
Tragic
9.4%
Exceptional
8.3%
Women w/ Children < 18
Exceptional
5.0%
Fair
5.6%

Lithuanian vs Marshallese Labor Participation

When considering labor participation, the most significant differences between Lithuanian and Marshallese communities in the United States are seen in in labor force | age 30-34 (85.6% compared to 79.2%, a difference of 8.0%), in labor force | age 45-54 (83.6% compared to 80.3%, a difference of 4.1%), and in labor force | age 35-44 (85.2% compared to 82.4%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.0% compared to 77.4%, a difference of 0.63%), in labor force | age > 16 (64.8% compared to 64.2%, a difference of 0.97%), and in labor force | age 16-19 (40.4% compared to 39.5%, a difference of 2.4%).
Lithuanian vs Marshallese Labor Participation
Labor Participation MetricLithuanianMarshallese
In Labor Force | Age > 16
Poor
64.8%
Tragic
64.2%
In Labor Force | Age 20-64
Exceptional
80.2%
Tragic
78.3%
In Labor Force | Age 16-19
Exceptional
40.4%
Exceptional
39.5%
In Labor Force | Age 20-24
Exceptional
77.0%
Exceptional
77.4%
In Labor Force | Age 25-29
Exceptional
85.8%
Tragic
83.3%
In Labor Force | Age 30-34
Exceptional
85.6%
Tragic
79.2%
In Labor Force | Age 35-44
Exceptional
85.2%
Tragic
82.4%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
80.3%

Lithuanian vs Marshallese Family Structure

When considering family structure, the most significant differences between Lithuanian and Marshallese communities in the United States are seen in births to unmarried women (29.6% compared to 34.8%, a difference of 17.6%), single mother households (5.4% compared to 6.3%, a difference of 16.7%), and single father households (2.1% compared to 2.4%, a difference of 15.3%). Conversely, both communities are more comparable in terms of family households (64.0% compared to 63.7%, a difference of 0.49%), family households with children (26.6% compared to 26.2%, a difference of 1.2%), and divorced or separated (11.7% compared to 12.0%, a difference of 2.2%).
Lithuanian vs Marshallese Family Structure
Family Structure MetricLithuanianMarshallese
Family Households
Fair
64.0%
Tragic
63.7%
Family Households with Children
Tragic
26.6%
Tragic
26.2%
Married-couple Households
Exceptional
48.9%
Tragic
44.6%
Average Family Size
Tragic
3.10
Exceptional
3.38
Single Father Households
Exceptional
2.1%
Tragic
2.4%
Single Mother Households
Exceptional
5.4%
Average
6.3%
Currently Married
Exceptional
49.0%
Tragic
45.5%
Divorced or Separated
Exceptional
11.7%
Good
12.0%
Births to Unmarried Women
Exceptional
29.6%
Tragic
34.8%

Lithuanian vs Marshallese Vehicle Availability

When considering vehicle availability, the most significant differences between Lithuanian and Marshallese communities in the United States are seen in 4 or more vehicles in household (6.3% compared to 8.1%, a difference of 28.8%), no vehicles in household (8.4% compared to 9.8%, a difference of 16.4%), and 2 or more vehicles in household (58.2% compared to 54.9%, a difference of 6.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 90.4%, a difference of 1.4%), 3 or more vehicles in household (20.1% compared to 21.3%, a difference of 5.8%), and 2 or more vehicles in household (58.2% compared to 54.9%, a difference of 6.1%).
Lithuanian vs Marshallese Vehicle Availability
Vehicle Availability MetricLithuanianMarshallese
No Vehicles Available
Exceptional
8.4%
Excellent
9.8%
1+ Vehicles Available
Exceptional
91.7%
Excellent
90.4%
2+ Vehicles Available
Exceptional
58.2%
Fair
54.9%
3+ Vehicles Available
Excellent
20.1%
Exceptional
21.3%
4+ Vehicles Available
Average
6.3%
Exceptional
8.1%

Lithuanian vs Marshallese Education Level

When considering education level, the most significant differences between Lithuanian and Marshallese communities in the United States are seen in doctorate degree (2.3% compared to 1.5%, a difference of 54.8%), master's degree (17.7% compared to 11.6%, a difference of 53.3%), and professional degree (5.4% compared to 3.8%, a difference of 43.4%). Conversely, both communities are more comparable in terms of kindergarten (98.6% compared to 98.1%, a difference of 0.54%), nursery school (98.6% compared to 98.1%, a difference of 0.55%), and 1st grade (98.6% compared to 98.0%, a difference of 0.56%).
Lithuanian vs Marshallese Education Level
Education Level MetricLithuanianMarshallese
No Schooling Completed
Exceptional
1.4%
Excellent
2.0%
Nursery School
Exceptional
98.6%
Excellent
98.1%
Kindergarten
Exceptional
98.6%
Excellent
98.1%
1st Grade
Exceptional
98.6%
Excellent
98.0%
2nd Grade
Exceptional
98.5%
Good
97.9%
3rd Grade
Exceptional
98.5%
Average
97.8%
4th Grade
Exceptional
98.3%
Good
97.6%
5th Grade
Exceptional
98.2%
Good
97.4%
6th Grade
Exceptional
98.1%
Good
97.1%
7th Grade
Exceptional
97.5%
Average
96.0%
8th Grade
Exceptional
97.3%
Average
95.7%
9th Grade
Exceptional
96.6%
Fair
94.7%
10th Grade
Exceptional
95.8%
Fair
93.6%
11th Grade
Exceptional
94.8%
Fair
92.3%
12th Grade, No Diploma
Exceptional
93.6%
Poor
90.7%
High School Diploma
Exceptional
92.0%
Poor
88.6%
GED/Equivalency
Exceptional
88.9%
Poor
84.9%
College, Under 1 year
Exceptional
68.8%
Tragic
61.9%
College, 1 year or more
Exceptional
62.9%
Tragic
55.8%
Associate's Degree
Exceptional
50.6%
Tragic
41.6%
Bachelor's Degree
Exceptional
42.2%
Tragic
31.7%
Master's Degree
Exceptional
17.7%
Tragic
11.6%
Professional Degree
Exceptional
5.4%
Tragic
3.8%
Doctorate Degree
Exceptional
2.3%
Tragic
1.5%

Lithuanian vs Marshallese Disability

When considering disability, the most significant differences between Lithuanian and Marshallese communities in the United States are seen in disability age under 5 (1.6% compared to 0.94%, a difference of 66.6%), disability age 65 to 74 (21.4% compared to 25.3%, a difference of 18.3%), and disability age 35 to 64 (10.8% compared to 12.5%, a difference of 16.0%). Conversely, both communities are more comparable in terms of disability age 18 to 34 (7.0% compared to 7.1%, a difference of 1.9%), disability age 5 to 17 (5.8% compared to 5.7%, a difference of 2.1%), and cognitive disability (16.3% compared to 17.7%, a difference of 9.0%).
Lithuanian vs Marshallese Disability
Disability MetricLithuanianMarshallese
Disability
Poor
11.9%
Tragic
13.1%
Males
Tragic
11.6%
Tragic
12.9%
Females
Average
12.2%
Tragic
13.3%
Age | Under 5 years
Tragic
1.6%
Exceptional
0.94%
Age | 5 to 17 years
Tragic
5.8%
Fair
5.7%
Age | 18 to 34 years
Tragic
7.0%
Tragic
7.1%
Age | 35 to 64 years
Excellent
10.8%
Tragic
12.5%
Age | 65 to 74 years
Exceptional
21.4%
Tragic
25.3%
Age | Over 75 years
Exceptional
45.1%
Tragic
50.1%
Vision
Exceptional
2.0%
Tragic
2.3%
Hearing
Tragic
3.4%
Tragic
3.8%
Cognitive
Exceptional
16.3%
Tragic
17.7%
Ambulatory
Excellent
6.0%
Tragic
6.9%
Self-Care
Exceptional
2.4%
Tragic
2.6%