Lithuanian vs Mongolian 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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest 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
Mongolian
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

Mongolians

Excellent
Good
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK
8,008
SOCIAL INDEX
77.6/ 100
SOCIAL RATING
93rd/ 347
SOCIAL RANK

Mongolian Integration in Lithuanian Communities

The statistical analysis conducted on geographies consisting of 132,075,970 people shows a weak positive correlation between the proportion of Mongolians within Lithuanian communities in the United States with a correlation coefficient (R) of 0.260. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.034% in Mongolians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 34.4 Mongolians.
Lithuanian Integration in Mongolian Communities

Lithuanian vs Mongolian Income

When considering income, the most significant differences between Lithuanian and Mongolian communities in the United States are seen in wage/income gap (28.7% compared to 26.6%, a difference of 7.9%), householder income under 25 years ($53,552 compared to $52,540, a difference of 1.9%), and median male earnings ($61,228 compared to $60,350, a difference of 1.5%). Conversely, both communities are more comparable in terms of median earnings ($50,991 compared to $51,038, a difference of 0.090%), median household income ($93,852 compared to $93,971, a difference of 0.13%), and householder income over 65 years ($65,209 compared to $65,326, a difference of 0.18%).
Lithuanian vs Mongolian Income
Income MetricLithuanianMongolian
Per Capita Income
Exceptional
$49,448
Exceptional
$49,173
Median Family Income
Exceptional
$115,395
Exceptional
$114,553
Median Household Income
Exceptional
$93,852
Exceptional
$93,971
Median Earnings
Exceptional
$50,991
Exceptional
$51,038
Median Male Earnings
Exceptional
$61,228
Exceptional
$60,350
Median Female Earnings
Exceptional
$42,108
Exceptional
$42,542
Householder Age | Under 25 years
Exceptional
$53,552
Good
$52,540
Householder Age | 25 - 44 years
Exceptional
$105,223
Exceptional
$104,578
Householder Age | 45 - 64 years
Exceptional
$112,484
Exceptional
$111,602
Householder Age | Over 65 years
Exceptional
$65,209
Exceptional
$65,326
Wage/Income Gap
Tragic
28.7%
Poor
26.6%

Lithuanian vs Mongolian Poverty

When considering poverty, the most significant differences between Lithuanian and Mongolian communities in the United States are seen in married-couple family poverty (4.0% compared to 5.0%, a difference of 26.6%), seniors poverty over the age of 65 (9.1% compared to 10.9%, a difference of 19.8%), and family poverty (7.2% compared to 8.6%, a difference of 19.6%). Conversely, both communities are more comparable in terms of single mother poverty (27.4% compared to 27.7%, a difference of 0.98%), female poverty among 25-34 year olds (12.2% compared to 12.8%, a difference of 4.7%), and single female poverty (19.2% compared to 20.2%, a difference of 5.0%).
Lithuanian vs Mongolian Poverty
Poverty MetricLithuanianMongolian
Poverty
Exceptional
10.5%
Average
12.4%
Families
Exceptional
7.2%
Excellent
8.6%
Males
Exceptional
9.5%
Fair
11.3%
Females
Exceptional
11.4%
Average
13.4%
Females 18 to 24 years
Exceptional
18.7%
Tragic
21.6%
Females 25 to 34 years
Exceptional
12.2%
Exceptional
12.8%
Children Under 5 years
Exceptional
15.2%
Exceptional
16.1%
Children Under 16 years
Exceptional
13.5%
Excellent
15.2%
Boys Under 16 years
Exceptional
14.0%
Exceptional
15.4%
Girls Under 16 years
Exceptional
13.9%
Excellent
15.4%
Single Males
Fair
13.0%
Exceptional
12.2%
Single Females
Exceptional
19.2%
Exceptional
20.2%
Single Fathers
Tragic
17.3%
Exceptional
15.3%
Single Mothers
Exceptional
27.4%
Exceptional
27.7%
Married Couples
Exceptional
4.0%
Good
5.0%
Seniors Over 65 years
Exceptional
9.1%
Average
10.9%
Seniors Over 75 years
Exceptional
10.6%
Average
12.2%
Receiving Food Stamps
Exceptional
9.7%
Exceptional
10.5%

Lithuanian vs Mongolian Unemployment

When considering unemployment, the most significant differences between Lithuanian and Mongolian communities in the United States are seen in unemployment among women with children under 6 years (7.8% compared to 6.5%, a difference of 19.8%), unemployment among seniors over 75 years (9.9% compared to 8.6%, a difference of 15.1%), and unemployment among women with children ages 6 to 17 years (9.4% compared to 8.4%, a difference of 12.2%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.050%), unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 0.62%), and unemployment among ages 65 to 74 years (5.4% compared to 5.3%, a difference of 1.0%).
Lithuanian vs Mongolian Unemployment
Unemployment MetricLithuanianMongolian
Unemployment
Exceptional
4.8%
Exceptional
5.0%
Males
Exceptional
5.0%
Excellent
5.1%
Females
Exceptional
4.7%
Exceptional
5.0%
Youth < 25
Exceptional
11.3%
Exceptional
11.1%
Age | 16 to 19 years
Exceptional
16.7%
Exceptional
16.9%
Age | 20 to 24 years
Good
10.2%
Exceptional
9.9%
Age | 25 to 29 years
Good
6.5%
Exceptional
6.2%
Age | 30 to 34 years
Good
5.4%
Exceptional
5.2%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.3%
Exceptional
4.3%
Age | 55 to 59 years
Excellent
4.7%
Exceptional
4.6%
Age | 60 to 64 years
Excellent
4.8%
Excellent
4.8%
Age | 65 to 74 years
Fair
5.4%
Good
5.3%
Seniors > 65
Average
5.1%
Average
5.1%
Seniors > 75
Tragic
9.9%
Excellent
8.6%
Women w/ Children < 6
Fair
7.8%
Exceptional
6.5%
Women w/ Children 6 to 17
Tragic
9.4%
Exceptional
8.4%
Women w/ Children < 18
Exceptional
5.0%
Exceptional
5.0%

Lithuanian vs Mongolian Labor Participation

When considering labor participation, the most significant differences between Lithuanian and Mongolian communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 35.3%, a difference of 14.6%), in labor force | age 20-24 (77.0% compared to 73.3%, a difference of 4.9%), and in labor force | age > 16 (64.8% compared to 66.1%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.6% compared to 85.3%, a difference of 0.34%), in labor force | age 20-64 (80.2% compared to 79.9%, a difference of 0.37%), and in labor force | age 45-54 (83.6% compared to 83.3%, a difference of 0.41%).
Lithuanian vs Mongolian Labor Participation
Labor Participation MetricLithuanianMongolian
In Labor Force | Age > 16
Poor
64.8%
Exceptional
66.1%
In Labor Force | Age 20-64
Exceptional
80.2%
Exceptional
79.9%
In Labor Force | Age 16-19
Exceptional
40.4%
Tragic
35.3%
In Labor Force | Age 20-24
Exceptional
77.0%
Tragic
73.3%
In Labor Force | Age 25-29
Exceptional
85.8%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.6%
Exceptional
85.3%
In Labor Force | Age 35-44
Exceptional
85.2%
Exceptional
84.8%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
83.3%

Lithuanian vs Mongolian Family Structure

When considering family structure, the most significant differences between Lithuanian and Mongolian communities in the United States are seen in single mother households (5.4% compared to 5.8%, a difference of 6.5%), divorced or separated (11.7% compared to 11.1%, a difference of 6.0%), and births to unmarried women (29.6% compared to 27.9%, a difference of 5.9%). Conversely, both communities are more comparable in terms of family households (64.0% compared to 62.8%, a difference of 2.0%), single father households (2.1% compared to 2.1%, a difference of 2.9%), and average family size (3.10 compared to 3.20, a difference of 3.0%).
Lithuanian vs Mongolian Family Structure
Family Structure MetricLithuanianMongolian
Family Households
Fair
64.0%
Tragic
62.8%
Family Households with Children
Tragic
26.6%
Good
27.6%
Married-couple Households
Exceptional
48.9%
Average
46.3%
Average Family Size
Tragic
3.10
Poor
3.20
Single Father Households
Exceptional
2.1%
Exceptional
2.1%
Single Mother Households
Exceptional
5.4%
Exceptional
5.8%
Currently Married
Exceptional
49.0%
Fair
46.4%
Divorced or Separated
Exceptional
11.7%
Exceptional
11.1%
Births to Unmarried Women
Exceptional
29.6%
Exceptional
27.9%

Lithuanian vs Mongolian Vehicle Availability

When considering vehicle availability, the most significant differences between Lithuanian and Mongolian communities in the United States are seen in no vehicles in household (8.4% compared to 13.1%, a difference of 55.6%), 3 or more vehicles in household (20.1% compared to 18.1%, a difference of 11.1%), and 2 or more vehicles in household (58.2% compared to 52.8%, a difference of 10.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 87.0%, a difference of 5.4%), 4 or more vehicles in household (6.3% compared to 5.8%, a difference of 9.0%), and 2 or more vehicles in household (58.2% compared to 52.8%, a difference of 10.2%).
Lithuanian vs Mongolian Vehicle Availability
Vehicle Availability MetricLithuanianMongolian
No Vehicles Available
Exceptional
8.4%
Tragic
13.1%
1+ Vehicles Available
Exceptional
91.7%
Tragic
87.0%
2+ Vehicles Available
Exceptional
58.2%
Tragic
52.8%
3+ Vehicles Available
Excellent
20.1%
Tragic
18.1%
4+ Vehicles Available
Average
6.3%
Tragic
5.8%

Lithuanian vs Mongolian Education Level

When considering education level, the most significant differences between Lithuanian and Mongolian communities in the United States are seen in no schooling completed (1.4% compared to 2.1%, a difference of 47.3%), doctorate degree (2.3% compared to 2.8%, a difference of 22.2%), and professional degree (5.4% compared to 6.1%, a difference of 14.0%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.9%, a difference of 0.73%), kindergarten (98.6% compared to 97.9%, a difference of 0.74%), and 1st grade (98.6% compared to 97.9%, a difference of 0.74%).
Lithuanian vs Mongolian Education Level
Education Level MetricLithuanianMongolian
No Schooling Completed
Exceptional
1.4%
Average
2.1%
Nursery School
Exceptional
98.6%
Fair
97.9%
Kindergarten
Exceptional
98.6%
Fair
97.9%
1st Grade
Exceptional
98.6%
Fair
97.9%
2nd Grade
Exceptional
98.5%
Fair
97.8%
3rd Grade
Exceptional
98.5%
Fair
97.7%
4th Grade
Exceptional
98.3%
Fair
97.5%
5th Grade
Exceptional
98.2%
Fair
97.3%
6th Grade
Exceptional
98.1%
Average
97.0%
7th Grade
Exceptional
97.5%
Average
96.0%
8th Grade
Exceptional
97.3%
Average
95.8%
9th Grade
Exceptional
96.6%
Good
95.0%
10th Grade
Exceptional
95.8%
Good
94.0%
11th Grade
Exceptional
94.8%
Excellent
93.0%
12th Grade, No Diploma
Exceptional
93.6%
Excellent
91.8%
High School Diploma
Exceptional
92.0%
Exceptional
89.9%
GED/Equivalency
Exceptional
88.9%
Exceptional
87.0%
College, Under 1 year
Exceptional
68.8%
Exceptional
69.9%
College, 1 year or more
Exceptional
62.9%
Exceptional
64.8%
Associate's Degree
Exceptional
50.6%
Exceptional
53.0%
Bachelor's Degree
Exceptional
42.2%
Exceptional
45.4%
Master's Degree
Exceptional
17.7%
Exceptional
19.4%
Professional Degree
Exceptional
5.4%
Exceptional
6.1%
Doctorate Degree
Exceptional
2.3%
Exceptional
2.8%

Lithuanian vs Mongolian Disability

When considering disability, the most significant differences between Lithuanian and Mongolian communities in the United States are seen in disability age under 5 (1.6% compared to 1.1%, a difference of 36.2%), hearing disability (3.4% compared to 2.7%, a difference of 22.4%), and male disability (11.6% compared to 10.3%, a difference of 12.9%). Conversely, both communities are more comparable in terms of self-care disability (2.4% compared to 2.3%, a difference of 1.4%), disability age 65 to 74 (21.4% compared to 21.8%, a difference of 1.8%), and disability age over 75 (45.1% compared to 46.3%, a difference of 2.8%).
Lithuanian vs Mongolian Disability
Disability MetricLithuanianMongolian
Disability
Poor
11.9%
Exceptional
10.8%
Males
Tragic
11.6%
Exceptional
10.3%
Females
Average
12.2%
Exceptional
11.2%
Age | Under 5 years
Tragic
1.6%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
5.8%
Exceptional
5.3%
Age | 18 to 34 years
Tragic
7.0%
Exceptional
6.2%
Age | 35 to 64 years
Excellent
10.8%
Exceptional
10.1%
Age | 65 to 74 years
Exceptional
21.4%
Exceptional
21.8%
Age | Over 75 years
Exceptional
45.1%
Exceptional
46.3%
Vision
Exceptional
2.0%
Exceptional
1.9%
Hearing
Tragic
3.4%
Exceptional
2.7%
Cognitive
Exceptional
16.3%
Tragic
17.7%
Ambulatory
Excellent
6.0%
Exceptional
5.5%
Self-Care
Exceptional
2.4%
Exceptional
2.3%