Lithuanian vs Mexican 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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexican 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
Mexican
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

Mexicans

Excellent
Tragic
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK
1,179
SOCIAL INDEX
9.3/ 100
SOCIAL RATING
319th/ 347
SOCIAL RANK

Mexican Integration in Lithuanian Communities

The statistical analysis conducted on geographies consisting of 416,163,887 people shows a weak negative correlation between the proportion of Mexicans within Lithuanian communities in the United States with a correlation coefficient (R) of -0.210. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is a decrease of 0.164% in Mexicans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to a decrease of 164.2 Mexicans.
Lithuanian Integration in Mexican Communities

Lithuanian vs Mexican Income

When considering income, the most significant differences between Lithuanian and Mexican communities in the United States are seen in per capita income ($49,448 compared to $34,559, a difference of 43.1%), median family income ($115,395 compared to $85,618, a difference of 34.8%), and median male earnings ($61,228 compared to $46,147, a difference of 32.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,552 compared to $49,989, a difference of 7.1%), wage/income gap (28.7% compared to 26.0%, a difference of 10.4%), and householder income over 65 years ($65,209 compared to $53,897, a difference of 21.0%).
Lithuanian vs Mexican Income
Income MetricLithuanianMexican
Per Capita Income
Exceptional
$49,448
Tragic
$34,559
Median Family Income
Exceptional
$115,395
Tragic
$85,618
Median Household Income
Exceptional
$93,852
Tragic
$74,399
Median Earnings
Exceptional
$50,991
Tragic
$39,834
Median Male Earnings
Exceptional
$61,228
Tragic
$46,147
Median Female Earnings
Exceptional
$42,108
Tragic
$33,664
Householder Age | Under 25 years
Exceptional
$53,552
Tragic
$49,989
Householder Age | 25 - 44 years
Exceptional
$105,223
Tragic
$80,427
Householder Age | 45 - 64 years
Exceptional
$112,484
Tragic
$86,816
Householder Age | Over 65 years
Exceptional
$65,209
Tragic
$53,897
Wage/Income Gap
Tragic
28.7%
Fair
26.0%

Lithuanian vs Mexican Poverty

When considering poverty, the most significant differences between Lithuanian and Mexican communities in the United States are seen in married-couple family poverty (4.0% compared to 7.2%, a difference of 81.3%), family poverty (7.2% compared to 11.8%, a difference of 64.5%), and child poverty under the age of 16 (13.5% compared to 20.7%, a difference of 52.9%). Conversely, both communities are more comparable in terms of single father poverty (17.3% compared to 16.1%, a difference of 7.1%), single male poverty (13.0% compared to 14.0%, a difference of 7.5%), and female poverty among 18-24 year olds (18.7% compared to 20.5%, a difference of 9.5%).
Lithuanian vs Mexican Poverty
Poverty MetricLithuanianMexican
Poverty
Exceptional
10.5%
Tragic
15.1%
Families
Exceptional
7.2%
Tragic
11.8%
Males
Exceptional
9.5%
Tragic
13.7%
Females
Exceptional
11.4%
Tragic
16.5%
Females 18 to 24 years
Exceptional
18.7%
Poor
20.5%
Females 25 to 34 years
Exceptional
12.2%
Tragic
16.6%
Children Under 5 years
Exceptional
15.2%
Tragic
21.6%
Children Under 16 years
Exceptional
13.5%
Tragic
20.7%
Boys Under 16 years
Exceptional
14.0%
Tragic
20.7%
Girls Under 16 years
Exceptional
13.9%
Tragic
20.9%
Single Males
Fair
13.0%
Tragic
14.0%
Single Females
Exceptional
19.2%
Tragic
25.0%
Single Fathers
Tragic
17.3%
Good
16.1%
Single Mothers
Exceptional
27.4%
Tragic
33.6%
Married Couples
Exceptional
4.0%
Tragic
7.2%
Seniors Over 65 years
Exceptional
9.1%
Tragic
13.1%
Seniors Over 75 years
Exceptional
10.6%
Tragic
14.4%
Receiving Food Stamps
Exceptional
9.7%
Tragic
14.6%

Lithuanian vs Mexican Unemployment

When considering unemployment, the most significant differences between Lithuanian and Mexican communities in the United States are seen in female unemployment (4.7% compared to 6.1%, a difference of 28.7%), unemployment among women with children under 18 years (5.0% compared to 6.4%, a difference of 26.3%), and unemployment (4.8% compared to 5.9%, a difference of 22.1%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.4% compared to 9.3%, a difference of 1.4%), unemployment among ages 20 to 24 years (10.2% compared to 10.6%, a difference of 3.9%), and unemployment among ages 65 to 74 years (5.4% compared to 5.8%, a difference of 8.1%).
Lithuanian vs Mexican Unemployment
Unemployment MetricLithuanianMexican
Unemployment
Exceptional
4.8%
Tragic
5.9%
Males
Exceptional
5.0%
Tragic
5.8%
Females
Exceptional
4.7%
Tragic
6.1%
Youth < 25
Exceptional
11.3%
Tragic
12.3%
Age | 16 to 19 years
Exceptional
16.7%
Tragic
18.5%
Age | 20 to 24 years
Good
10.2%
Tragic
10.6%
Age | 25 to 29 years
Good
6.5%
Tragic
7.5%
Age | 30 to 34 years
Good
5.4%
Tragic
6.1%
Age | 35 to 44 years
Exceptional
4.4%
Tragic
5.3%
Age | 45 to 54 years
Exceptional
4.3%
Tragic
4.9%
Age | 55 to 59 years
Excellent
4.7%
Tragic
5.2%
Age | 60 to 64 years
Excellent
4.8%
Tragic
5.2%
Age | 65 to 74 years
Fair
5.4%
Tragic
5.8%
Seniors > 65
Average
5.1%
Tragic
5.6%
Seniors > 75
Tragic
9.9%
Tragic
9.1%
Women w/ Children < 6
Fair
7.8%
Tragic
8.9%
Women w/ Children 6 to 17
Tragic
9.4%
Tragic
9.3%
Women w/ Children < 18
Exceptional
5.0%
Tragic
6.4%

Lithuanian vs Mexican Labor Participation

When considering labor participation, the most significant differences between Lithuanian and Mexican communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 35.6%, a difference of 13.4%), in labor force | age 45-54 (83.6% compared to 79.8%, a difference of 4.8%), and in labor force | age 25-29 (85.8% compared to 81.9%, a difference of 4.7%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.8% compared to 64.1%, a difference of 1.2%), in labor force | age 20-24 (77.0% compared to 75.1%, a difference of 2.5%), and in labor force | age 20-64 (80.2% compared to 77.2%, a difference of 3.9%).
Lithuanian vs Mexican Labor Participation
Labor Participation MetricLithuanianMexican
In Labor Force | Age > 16
Poor
64.8%
Tragic
64.1%
In Labor Force | Age 20-64
Exceptional
80.2%
Tragic
77.2%
In Labor Force | Age 16-19
Exceptional
40.4%
Poor
35.6%
In Labor Force | Age 20-24
Exceptional
77.0%
Average
75.1%
In Labor Force | Age 25-29
Exceptional
85.8%
Tragic
81.9%
In Labor Force | Age 30-34
Exceptional
85.6%
Tragic
81.9%
In Labor Force | Age 35-44
Exceptional
85.2%
Tragic
81.6%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
79.8%

Lithuanian vs Mexican Family Structure

When considering family structure, the most significant differences between Lithuanian and Mexican communities in the United States are seen in single mother households (5.4% compared to 8.0%, a difference of 46.6%), single father households (2.1% compared to 3.0%, a difference of 41.0%), and births to unmarried women (29.6% compared to 36.9%, a difference of 24.9%). Conversely, both communities are more comparable in terms of married-couple households (48.9% compared to 47.1%, a difference of 3.7%), divorced or separated (11.7% compared to 12.2%, a difference of 4.0%), and family households (64.0% compared to 69.0%, a difference of 7.7%).
Lithuanian vs Mexican Family Structure
Family Structure MetricLithuanianMexican
Family Households
Fair
64.0%
Exceptional
69.0%
Family Households with Children
Tragic
26.6%
Exceptional
31.4%
Married-couple Households
Exceptional
48.9%
Excellent
47.1%
Average Family Size
Tragic
3.10
Exceptional
3.48
Single Father Households
Exceptional
2.1%
Tragic
3.0%
Single Mother Households
Exceptional
5.4%
Tragic
8.0%
Currently Married
Exceptional
49.0%
Tragic
45.2%
Divorced or Separated
Exceptional
11.7%
Fair
12.2%
Births to Unmarried Women
Exceptional
29.6%
Tragic
36.9%

Lithuanian vs Mexican Vehicle Availability

When considering vehicle availability, the most significant differences between Lithuanian and Mexican communities in the United States are seen in 4 or more vehicles in household (6.3% compared to 8.9%, a difference of 41.3%), 3 or more vehicles in household (20.1% compared to 24.7%, a difference of 22.8%), and no vehicles in household (8.4% compared to 7.0%, a difference of 20.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 93.0%, a difference of 1.5%), 2 or more vehicles in household (58.2% compared to 61.7%, a difference of 5.9%), and no vehicles in household (8.4% compared to 7.0%, a difference of 20.1%).
Lithuanian vs Mexican Vehicle Availability
Vehicle Availability MetricLithuanianMexican
No Vehicles Available
Exceptional
8.4%
Exceptional
7.0%
1+ Vehicles Available
Exceptional
91.7%
Exceptional
93.0%
2+ Vehicles Available
Exceptional
58.2%
Exceptional
61.7%
3+ Vehicles Available
Excellent
20.1%
Exceptional
24.7%
4+ Vehicles Available
Average
6.3%
Exceptional
8.9%

Lithuanian vs Mexican Education Level

When considering education level, the most significant differences between Lithuanian and Mexican communities in the United States are seen in no schooling completed (1.4% compared to 3.3%, a difference of 129.4%), professional degree (5.4% compared to 2.7%, a difference of 95.7%), and doctorate degree (2.3% compared to 1.2%, a difference of 92.8%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 96.8%, a difference of 1.9%), kindergarten (98.6% compared to 96.7%, a difference of 1.9%), and 1st grade (98.6% compared to 96.7%, a difference of 2.0%).
Lithuanian vs Mexican Education Level
Education Level MetricLithuanianMexican
No Schooling Completed
Exceptional
1.4%
Tragic
3.3%
Nursery School
Exceptional
98.6%
Tragic
96.8%
Kindergarten
Exceptional
98.6%
Tragic
96.7%
1st Grade
Exceptional
98.6%
Tragic
96.7%
2nd Grade
Exceptional
98.5%
Tragic
96.5%
3rd Grade
Exceptional
98.5%
Tragic
96.2%
4th Grade
Exceptional
98.3%
Tragic
95.6%
5th Grade
Exceptional
98.2%
Tragic
95.2%
6th Grade
Exceptional
98.1%
Tragic
94.6%
7th Grade
Exceptional
97.5%
Tragic
91.9%
8th Grade
Exceptional
97.3%
Tragic
91.4%
9th Grade
Exceptional
96.6%
Tragic
90.0%
10th Grade
Exceptional
95.8%
Tragic
87.8%
11th Grade
Exceptional
94.8%
Tragic
86.1%
12th Grade, No Diploma
Exceptional
93.6%
Tragic
84.1%
High School Diploma
Exceptional
92.0%
Tragic
81.4%
GED/Equivalency
Exceptional
88.9%
Tragic
77.4%
College, Under 1 year
Exceptional
68.8%
Tragic
55.6%
College, 1 year or more
Exceptional
62.9%
Tragic
49.2%
Associate's Degree
Exceptional
50.6%
Tragic
35.0%
Bachelor's Degree
Exceptional
42.2%
Tragic
27.1%
Master's Degree
Exceptional
17.7%
Tragic
9.7%
Professional Degree
Exceptional
5.4%
Tragic
2.7%
Doctorate Degree
Exceptional
2.3%
Tragic
1.2%

Lithuanian vs Mexican Disability

When considering disability, the most significant differences between Lithuanian and Mexican communities in the United States are seen in disability age 65 to 74 (21.4% compared to 27.2%, a difference of 27.1%), vision disability (2.0% compared to 2.5%, a difference of 24.3%), and disability age under 5 (1.6% compared to 1.3%, a difference of 22.2%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.8%, a difference of 0.21%), male disability (11.6% compared to 11.8%, a difference of 1.9%), and disability (11.9% compared to 12.1%, a difference of 1.9%).
Lithuanian vs Mexican Disability
Disability MetricLithuanianMexican
Disability
Poor
11.9%
Tragic
12.1%
Males
Tragic
11.6%
Tragic
11.8%
Females
Average
12.2%
Poor
12.4%
Age | Under 5 years
Tragic
1.6%
Fair
1.3%
Age | 5 to 17 years
Tragic
5.8%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.0%
Poor
6.8%
Age | 35 to 64 years
Excellent
10.8%
Tragic
12.4%
Age | 65 to 74 years
Exceptional
21.4%
Tragic
27.2%
Age | Over 75 years
Exceptional
45.1%
Tragic
51.1%
Vision
Exceptional
2.0%
Tragic
2.5%
Hearing
Tragic
3.4%
Tragic
3.2%
Cognitive
Exceptional
16.3%
Tragic
17.8%
Ambulatory
Excellent
6.0%
Tragic
6.4%
Self-Care
Exceptional
2.4%
Tragic
2.7%