Lithuanian vs Tlingit-Haida Community Comparison

COMPARE

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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTohono 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
Tlingit-Haida
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

Tlingit-Haida

Excellent
Average
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK
5,201
SOCIAL INDEX
49.5/ 100
SOCIAL RATING
182nd/ 347
SOCIAL RANK

Tlingit-Haida Integration in Lithuanian Communities

The statistical analysis conducted on geographies consisting of 56,482,366 people shows a near-perfect positive correlation between the proportion of Tlingit-Haida within Lithuanian communities in the United States with a correlation coefficient (R) of 0.930. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.322% in Tlingit-Haida. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 322.3 Tlingit-Haida.
Lithuanian Integration in Tlingit-Haida Communities

Lithuanian vs Tlingit-Haida Income

When considering income, the most significant differences between Lithuanian and Tlingit-Haida communities in the United States are seen in wage/income gap (28.7% compared to 24.0%, a difference of 20.0%), median male earnings ($61,228 compared to $52,409, a difference of 16.8%), and householder income ages 45 - 64 years ($112,484 compared to $97,417, a difference of 15.5%). Conversely, both communities are more comparable in terms of householder income over 65 years ($65,209 compared to $62,922, a difference of 3.6%), householder income under 25 years ($53,552 compared to $55,914, a difference of 4.4%), and median female earnings ($42,108 compared to $39,513, a difference of 6.6%).
Lithuanian vs Tlingit-Haida Income
Income MetricLithuanianTlingit-Haida
Per Capita Income
Exceptional
$49,448
Average
$43,516
Median Family Income
Exceptional
$115,395
Fair
$101,092
Median Household Income
Exceptional
$93,852
Fair
$83,968
Median Earnings
Exceptional
$50,991
Fair
$45,468
Median Male Earnings
Exceptional
$61,228
Poor
$52,409
Median Female Earnings
Exceptional
$42,108
Average
$39,513
Householder Age | Under 25 years
Exceptional
$53,552
Exceptional
$55,914
Householder Age | 25 - 44 years
Exceptional
$105,223
Fair
$92,987
Householder Age | 45 - 64 years
Exceptional
$112,484
Poor
$97,417
Householder Age | Over 65 years
Exceptional
$65,209
Excellent
$62,922
Wage/Income Gap
Tragic
28.7%
Exceptional
24.0%

Lithuanian vs Tlingit-Haida Poverty

When considering poverty, the most significant differences between Lithuanian and Tlingit-Haida communities in the United States are seen in receiving food stamps (9.7% compared to 11.6%, a difference of 19.9%), female poverty among 18-24 year olds (18.7% compared to 22.0%, a difference of 17.8%), and single female poverty (19.2% compared to 21.9%, a difference of 14.3%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (15.2% compared to 15.9%, a difference of 5.0%), child poverty among girls under 16 (13.9% compared to 14.7%, a difference of 5.7%), and seniors poverty over the age of 65 (9.1% compared to 8.3%, a difference of 8.6%).
Lithuanian vs Tlingit-Haida Poverty
Poverty MetricLithuanianTlingit-Haida
Poverty
Exceptional
10.5%
Excellent
11.7%
Families
Exceptional
7.2%
Exceptional
8.0%
Males
Exceptional
9.5%
Good
10.9%
Females
Exceptional
11.4%
Exceptional
12.5%
Females 18 to 24 years
Exceptional
18.7%
Tragic
22.0%
Females 25 to 34 years
Exceptional
12.2%
Fair
13.8%
Children Under 5 years
Exceptional
15.2%
Exceptional
15.9%
Children Under 16 years
Exceptional
13.5%
Exceptional
14.9%
Boys Under 16 years
Exceptional
14.0%
Exceptional
15.3%
Girls Under 16 years
Exceptional
13.9%
Exceptional
14.7%
Single Males
Fair
13.0%
Exceptional
11.6%
Single Females
Exceptional
19.2%
Tragic
21.9%
Single Fathers
Tragic
17.3%
Exceptional
15.3%
Single Mothers
Exceptional
27.4%
Tragic
30.9%
Married Couples
Exceptional
4.0%
Exceptional
4.4%
Seniors Over 65 years
Exceptional
9.1%
Exceptional
8.3%
Seniors Over 75 years
Exceptional
10.6%
Exceptional
9.7%
Receiving Food Stamps
Exceptional
9.7%
Average
11.6%

Lithuanian vs Tlingit-Haida Unemployment

When considering unemployment, the most significant differences between Lithuanian and Tlingit-Haida communities in the United States are seen in unemployment among seniors over 75 years (9.9% compared to 20.7%, a difference of 109.8%), unemployment among ages 16 to 19 years (16.7% compared to 23.5%, a difference of 40.6%), and unemployment among ages 60 to 64 years (4.8% compared to 6.4%, a difference of 34.0%). 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 1.2%), unemployment among ages 35 to 44 years (4.4% compared to 4.3%, a difference of 3.8%), and female unemployment (4.7% compared to 4.9%, a difference of 4.1%).
Lithuanian vs Tlingit-Haida Unemployment
Unemployment MetricLithuanianTlingit-Haida
Unemployment
Exceptional
4.8%
Tragic
5.6%
Males
Exceptional
5.0%
Tragic
6.0%
Females
Exceptional
4.7%
Exceptional
4.9%
Youth < 25
Exceptional
11.3%
Tragic
12.7%
Age | 16 to 19 years
Exceptional
16.7%
Tragic
23.5%
Age | 20 to 24 years
Good
10.2%
Fair
10.3%
Age | 25 to 29 years
Good
6.5%
Tragic
8.7%
Age | 30 to 34 years
Good
5.4%
Tragic
6.0%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.3%
Tragic
4.7%
Age | 55 to 59 years
Excellent
4.7%
Tragic
5.7%
Age | 60 to 64 years
Excellent
4.8%
Tragic
6.4%
Age | 65 to 74 years
Fair
5.4%
Tragic
6.5%
Seniors > 65
Average
5.1%
Tragic
6.8%
Seniors > 75
Tragic
9.9%
Tragic
20.7%
Women w/ Children < 6
Fair
7.8%
Tragic
8.9%
Women w/ Children 6 to 17
Tragic
9.4%
Exceptional
7.1%
Women w/ Children < 18
Exceptional
5.0%
Good
5.4%

Lithuanian vs Tlingit-Haida Labor Participation

When considering labor participation, the most significant differences between Lithuanian and Tlingit-Haida communities in the United States are seen in in labor force | age 30-34 (85.6% compared to 82.3%, a difference of 4.0%), in labor force | age 35-44 (85.2% compared to 82.5%, a difference of 3.2%), and in labor force | age 25-29 (85.8% compared to 84.4%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (40.4% compared to 40.5%, a difference of 0.14%), in labor force | age 45-54 (83.6% compared to 83.9%, a difference of 0.37%), and in labor force | age > 16 (64.8% compared to 65.5%, a difference of 1.0%).
Lithuanian vs Tlingit-Haida Labor Participation
Labor Participation MetricLithuanianTlingit-Haida
In Labor Force | Age > 16
Poor
64.8%
Excellent
65.5%
In Labor Force | Age 20-64
Exceptional
80.2%
Tragic
79.0%
In Labor Force | Age 16-19
Exceptional
40.4%
Exceptional
40.5%
In Labor Force | Age 20-24
Exceptional
77.0%
Exceptional
77.9%
In Labor Force | Age 25-29
Exceptional
85.8%
Poor
84.4%
In Labor Force | Age 30-34
Exceptional
85.6%
Tragic
82.3%
In Labor Force | Age 35-44
Exceptional
85.2%
Tragic
82.5%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
83.9%

Lithuanian vs Tlingit-Haida Family Structure

When considering family structure, the most significant differences between Lithuanian and Tlingit-Haida communities in the United States are seen in single father households (2.1% compared to 2.7%, a difference of 26.7%), divorced or separated (11.7% compared to 13.2%, a difference of 12.4%), and births to unmarried women (29.6% compared to 32.2%, a difference of 9.0%). Conversely, both communities are more comparable in terms of average family size (3.10 compared to 3.16, a difference of 1.7%), family households with children (26.6% compared to 26.0%, a difference of 2.1%), and family households (64.0% compared to 61.6%, a difference of 4.0%).
Lithuanian vs Tlingit-Haida Family Structure
Family Structure MetricLithuanianTlingit-Haida
Family Households
Fair
64.0%
Tragic
61.6%
Family Households with Children
Tragic
26.6%
Tragic
26.0%
Married-couple Households
Exceptional
48.9%
Tragic
45.1%
Average Family Size
Tragic
3.10
Tragic
3.16
Single Father Households
Exceptional
2.1%
Tragic
2.7%
Single Mother Households
Exceptional
5.4%
Exceptional
5.7%
Currently Married
Exceptional
49.0%
Average
46.7%
Divorced or Separated
Exceptional
11.7%
Tragic
13.2%
Births to Unmarried Women
Exceptional
29.6%
Fair
32.2%

Lithuanian vs Tlingit-Haida Vehicle Availability

When considering vehicle availability, the most significant differences between Lithuanian and Tlingit-Haida communities in the United States are seen in no vehicles in household (8.4% compared to 10.1%, a difference of 19.3%), 4 or more vehicles in household (6.3% compared to 6.8%, a difference of 8.2%), and 2 or more vehicles in household (58.2% compared to 55.8%, a difference of 4.4%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (20.1% compared to 19.9%, a difference of 1.3%), 1 or more vehicles in household (91.7% compared to 90.1%, a difference of 1.8%), and 2 or more vehicles in household (58.2% compared to 55.8%, a difference of 4.4%).
Lithuanian vs Tlingit-Haida Vehicle Availability
Vehicle Availability MetricLithuanianTlingit-Haida
No Vehicles Available
Exceptional
8.4%
Good
10.1%
1+ Vehicles Available
Exceptional
91.7%
Good
90.1%
2+ Vehicles Available
Exceptional
58.2%
Good
55.8%
3+ Vehicles Available
Excellent
20.1%
Good
19.9%
4+ Vehicles Available
Average
6.3%
Exceptional
6.8%

Lithuanian vs Tlingit-Haida Education Level

When considering education level, the most significant differences between Lithuanian and Tlingit-Haida communities in the United States are seen in master's degree (17.7% compared to 12.8%, a difference of 38.2%), professional degree (5.4% compared to 4.0%, a difference of 34.8%), and doctorate degree (2.3% compared to 1.7%, a difference of 32.6%). Conversely, both communities are more comparable in terms of 7th grade (97.5% compared to 97.5%, a difference of 0.010%), 8th grade (97.3% compared to 97.3%, a difference of 0.020%), and 9th grade (96.6% compared to 96.6%, a difference of 0.040%).
Lithuanian vs Tlingit-Haida Education Level
Education Level MetricLithuanianTlingit-Haida
No Schooling Completed
Exceptional
1.4%
Exceptional
1.5%
Nursery School
Exceptional
98.6%
Exceptional
98.7%
Kindergarten
Exceptional
98.6%
Exceptional
98.7%
1st Grade
Exceptional
98.6%
Exceptional
98.7%
2nd Grade
Exceptional
98.5%
Exceptional
98.6%
3rd Grade
Exceptional
98.5%
Exceptional
98.5%
4th Grade
Exceptional
98.3%
Exceptional
98.4%
5th Grade
Exceptional
98.2%
Exceptional
98.3%
6th Grade
Exceptional
98.1%
Exceptional
98.1%
7th Grade
Exceptional
97.5%
Exceptional
97.5%
8th Grade
Exceptional
97.3%
Exceptional
97.3%
9th Grade
Exceptional
96.6%
Exceptional
96.6%
10th Grade
Exceptional
95.8%
Exceptional
95.7%
11th Grade
Exceptional
94.8%
Exceptional
94.4%
12th Grade, No Diploma
Exceptional
93.6%
Exceptional
93.0%
High School Diploma
Exceptional
92.0%
Exceptional
91.4%
GED/Equivalency
Exceptional
88.9%
Exceptional
87.0%
College, Under 1 year
Exceptional
68.8%
Good
65.9%
College, 1 year or more
Exceptional
62.9%
Average
59.4%
Associate's Degree
Exceptional
50.6%
Tragic
43.0%
Bachelor's Degree
Exceptional
42.2%
Tragic
34.6%
Master's Degree
Exceptional
17.7%
Tragic
12.8%
Professional Degree
Exceptional
5.4%
Tragic
4.0%
Doctorate Degree
Exceptional
2.3%
Poor
1.7%

Lithuanian vs Tlingit-Haida Disability

When considering disability, the most significant differences between Lithuanian and Tlingit-Haida communities in the United States are seen in hearing disability (3.4% compared to 4.8%, a difference of 44.5%), vision disability (2.0% compared to 2.9%, a difference of 40.1%), and disability age 65 to 74 (21.4% compared to 27.1%, a difference of 26.8%). Conversely, both communities are more comparable in terms of disability age under 5 (1.6% compared to 1.5%, a difference of 1.2%), disability age 5 to 17 (5.8% compared to 5.9%, a difference of 1.6%), and self-care disability (2.4% compared to 2.4%, a difference of 3.6%).
Lithuanian vs Tlingit-Haida Disability
Disability MetricLithuanianTlingit-Haida
Disability
Poor
11.9%
Tragic
13.5%
Males
Tragic
11.6%
Tragic
13.8%
Females
Average
12.2%
Tragic
13.2%
Age | Under 5 years
Tragic
1.6%
Tragic
1.5%
Age | 5 to 17 years
Tragic
5.8%
Tragic
5.9%
Age | 18 to 34 years
Tragic
7.0%
Tragic
7.7%
Age | 35 to 64 years
Excellent
10.8%
Tragic
13.2%
Age | 65 to 74 years
Exceptional
21.4%
Tragic
27.1%
Age | Over 75 years
Exceptional
45.1%
Tragic
50.6%
Vision
Exceptional
2.0%
Tragic
2.9%
Hearing
Tragic
3.4%
Tragic
4.8%
Cognitive
Exceptional
16.3%
Average
17.2%
Ambulatory
Excellent
6.0%
Tragic
6.5%
Self-Care
Exceptional
2.4%
Good
2.4%