Lithuanian vs Yakama Community Comparison

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Lithuanian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican 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 IndianYaquiYugoslavianYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral 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 TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Yakama
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

Yakama

Excellent
Poor
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK
1,331
SOCIAL INDEX
10.9/ 100
SOCIAL RATING
315th/ 347
SOCIAL RANK

Yakama Integration in Lithuanian Communities

The statistical analysis conducted on geographies consisting of 17,916,806 people shows a weak positive correlation between the proportion of Yakama within Lithuanian communities in the United States with a correlation coefficient (R) of 0.229. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.092% in Yakama. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 92.1 Yakama.
Lithuanian Integration in Yakama Communities

Lithuanian vs Yakama Income

When considering income, the most significant differences between Lithuanian and Yakama communities in the United States are seen in per capita income ($49,448 compared to $33,009, a difference of 49.8%), householder income ages 25 - 44 years ($105,223 compared to $76,226, a difference of 38.0%), and median family income ($115,395 compared to $83,932, a difference of 37.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,552 compared to $54,321, a difference of 1.4%), householder income over 65 years ($65,209 compared to $56,234, a difference of 16.0%), and wage/income gap (28.7% compared to 23.7%, a difference of 21.0%).
Lithuanian vs Yakama Income
Income MetricLithuanianYakama
Per Capita Income
Exceptional
$49,448
Tragic
$33,009
Median Family Income
Exceptional
$115,395
Tragic
$83,932
Median Household Income
Exceptional
$93,852
Tragic
$72,225
Median Earnings
Exceptional
$50,991
Tragic
$39,107
Median Male Earnings
Exceptional
$61,228
Tragic
$45,002
Median Female Earnings
Exceptional
$42,108
Tragic
$33,354
Householder Age | Under 25 years
Exceptional
$53,552
Exceptional
$54,321
Householder Age | 25 - 44 years
Exceptional
$105,223
Tragic
$76,226
Householder Age | 45 - 64 years
Exceptional
$112,484
Tragic
$86,992
Householder Age | Over 65 years
Exceptional
$65,209
Tragic
$56,234
Wage/Income Gap
Tragic
28.7%
Exceptional
23.7%

Lithuanian vs Yakama Poverty

When considering poverty, the most significant differences between Lithuanian and Yakama communities in the United States are seen in married-couple family poverty (4.0% compared to 9.0%, a difference of 126.3%), receiving food stamps (9.7% compared to 21.4%, a difference of 121.6%), and family poverty (7.2% compared to 13.1%, a difference of 82.2%). Conversely, both communities are more comparable in terms of single father poverty (17.3% compared to 18.1%, a difference of 4.9%), single male poverty (13.0% compared to 15.9%, a difference of 22.5%), and single mother poverty (27.4% compared to 36.4%, a difference of 32.9%).
Lithuanian vs Yakama Poverty
Poverty MetricLithuanianYakama
Poverty
Exceptional
10.5%
Tragic
16.7%
Families
Exceptional
7.2%
Tragic
13.1%
Males
Exceptional
9.5%
Tragic
15.3%
Females
Exceptional
11.4%
Tragic
18.0%
Females 18 to 24 years
Exceptional
18.7%
Tragic
25.3%
Females 25 to 34 years
Exceptional
12.2%
Tragic
17.6%
Children Under 5 years
Exceptional
15.2%
Tragic
23.1%
Children Under 16 years
Exceptional
13.5%
Tragic
22.1%
Boys Under 16 years
Exceptional
14.0%
Tragic
21.7%
Girls Under 16 years
Exceptional
13.9%
Tragic
22.6%
Single Males
Fair
13.0%
Tragic
15.9%
Single Females
Exceptional
19.2%
Tragic
28.3%
Single Fathers
Tragic
17.3%
Tragic
18.1%
Single Mothers
Exceptional
27.4%
Tragic
36.4%
Married Couples
Exceptional
4.0%
Tragic
9.0%
Seniors Over 65 years
Exceptional
9.1%
Tragic
14.8%
Seniors Over 75 years
Exceptional
10.6%
Tragic
18.3%
Receiving Food Stamps
Exceptional
9.7%
Tragic
21.4%

Lithuanian vs Yakama Unemployment

When considering unemployment, the most significant differences between Lithuanian and Yakama communities in the United States are seen in unemployment among ages 55 to 59 years (4.7% compared to 8.9%, a difference of 89.3%), unemployment among seniors over 75 years (9.9% compared to 18.4%, a difference of 86.4%), and unemployment among ages 30 to 34 years (5.4% compared to 9.8%, a difference of 81.8%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.4% compared to 9.9%, a difference of 4.8%), unemployment among women with children under 6 years (7.8% compared to 6.6%, a difference of 17.0%), and unemployment among ages 65 to 74 years (5.4% compared to 6.6%, a difference of 21.5%).
Lithuanian vs Yakama Unemployment
Unemployment MetricLithuanianYakama
Unemployment
Exceptional
4.8%
Tragic
7.3%
Males
Exceptional
5.0%
Tragic
7.9%
Females
Exceptional
4.7%
Tragic
6.7%
Youth < 25
Exceptional
11.3%
Tragic
15.6%
Age | 16 to 19 years
Exceptional
16.7%
Tragic
22.5%
Age | 20 to 24 years
Good
10.2%
Tragic
13.1%
Age | 25 to 29 years
Good
6.5%
Tragic
8.8%
Age | 30 to 34 years
Good
5.4%
Tragic
9.8%
Age | 35 to 44 years
Exceptional
4.4%
Tragic
5.6%
Age | 45 to 54 years
Exceptional
4.3%
Tragic
5.7%
Age | 55 to 59 years
Excellent
4.7%
Tragic
8.9%
Age | 60 to 64 years
Excellent
4.8%
Tragic
6.0%
Age | 65 to 74 years
Fair
5.4%
Tragic
6.6%
Seniors > 65
Average
5.1%
Tragic
6.7%
Seniors > 75
Tragic
9.9%
Tragic
18.4%
Women w/ Children < 6
Fair
7.8%
Exceptional
6.6%
Women w/ Children 6 to 17
Tragic
9.4%
Tragic
9.9%
Women w/ Children < 18
Exceptional
5.0%
Tragic
8.1%

Lithuanian vs Yakama Labor Participation

When considering labor participation, the most significant differences between Lithuanian and Yakama communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 36.9%, a difference of 9.6%), in labor force | age 30-34 (85.6% compared to 79.1%, a difference of 8.2%), and in labor force | age 35-44 (85.2% compared to 79.0%, a difference of 7.9%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.0% compared to 75.1%, a difference of 2.5%), in labor force | age 45-54 (83.6% compared to 80.6%, a difference of 3.7%), and in labor force | age > 16 (64.8% compared to 62.1%, a difference of 4.3%).
Lithuanian vs Yakama Labor Participation
Labor Participation MetricLithuanianYakama
In Labor Force | Age > 16
Poor
64.8%
Tragic
62.1%
In Labor Force | Age 20-64
Exceptional
80.2%
Tragic
75.8%
In Labor Force | Age 16-19
Exceptional
40.4%
Good
36.9%
In Labor Force | Age 20-24
Exceptional
77.0%
Average
75.1%
In Labor Force | Age 25-29
Exceptional
85.8%
Tragic
80.6%
In Labor Force | Age 30-34
Exceptional
85.6%
Tragic
79.1%
In Labor Force | Age 35-44
Exceptional
85.2%
Tragic
79.0%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
80.6%

Lithuanian vs Yakama Family Structure

When considering family structure, the most significant differences between Lithuanian and Yakama communities in the United States are seen in single father households (2.1% compared to 4.2%, a difference of 98.3%), single mother households (5.4% compared to 8.4%, a difference of 54.8%), and births to unmarried women (29.6% compared to 40.3%, a difference of 36.5%). Conversely, both communities are more comparable in terms of divorced or separated (11.7% compared to 12.3%, a difference of 5.0%), married-couple households (48.9% compared to 45.2%, a difference of 8.1%), and family households (64.0% compared to 69.3%, a difference of 8.2%).
Lithuanian vs Yakama Family Structure
Family Structure MetricLithuanianYakama
Family Households
Fair
64.0%
Exceptional
69.3%
Family Households with Children
Tragic
26.6%
Exceptional
30.8%
Married-couple Households
Exceptional
48.9%
Tragic
45.2%
Average Family Size
Tragic
3.10
Exceptional
3.45
Single Father Households
Exceptional
2.1%
Tragic
4.2%
Single Mother Households
Exceptional
5.4%
Tragic
8.4%
Currently Married
Exceptional
49.0%
Tragic
44.0%
Divorced or Separated
Exceptional
11.7%
Tragic
12.3%
Births to Unmarried Women
Exceptional
29.6%
Tragic
40.3%

Lithuanian vs Yakama Vehicle Availability

When considering vehicle availability, the most significant differences between Lithuanian and Yakama communities in the United States are seen in 4 or more vehicles in household (6.3% compared to 12.9%, a difference of 104.5%), 3 or more vehicles in household (20.1% compared to 31.0%, a difference of 54.0%), and no vehicles in household (8.4% compared to 6.6%, a difference of 27.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 93.6%, a difference of 2.0%), 2 or more vehicles in household (58.2% compared to 64.9%, a difference of 11.5%), and no vehicles in household (8.4% compared to 6.6%, a difference of 27.6%).
Lithuanian vs Yakama Vehicle Availability
Vehicle Availability MetricLithuanianYakama
No Vehicles Available
Exceptional
8.4%
Exceptional
6.6%
1+ Vehicles Available
Exceptional
91.7%
Exceptional
93.6%
2+ Vehicles Available
Exceptional
58.2%
Exceptional
64.9%
3+ Vehicles Available
Excellent
20.1%
Exceptional
31.0%
4+ Vehicles Available
Average
6.3%
Exceptional
12.9%

Lithuanian vs Yakama Education Level

When considering education level, the most significant differences between Lithuanian and Yakama communities in the United States are seen in no schooling completed (1.4% compared to 3.6%, a difference of 147.2%), master's degree (17.7% compared to 9.5%, a difference of 87.5%), and doctorate degree (2.3% compared to 1.3%, a difference of 76.0%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 96.6%, a difference of 2.1%), kindergarten (98.6% compared to 96.6%, a difference of 2.1%), and 1st grade (98.6% compared to 96.5%, a difference of 2.1%).
Lithuanian vs Yakama Education Level
Education Level MetricLithuanianYakama
No Schooling Completed
Exceptional
1.4%
Tragic
3.6%
Nursery School
Exceptional
98.6%
Tragic
96.6%
Kindergarten
Exceptional
98.6%
Tragic
96.6%
1st Grade
Exceptional
98.6%
Tragic
96.5%
2nd Grade
Exceptional
98.5%
Tragic
96.4%
3rd Grade
Exceptional
98.5%
Tragic
95.9%
4th Grade
Exceptional
98.3%
Tragic
95.2%
5th Grade
Exceptional
98.2%
Tragic
94.8%
6th Grade
Exceptional
98.1%
Tragic
94.3%
7th Grade
Exceptional
97.5%
Tragic
91.7%
8th Grade
Exceptional
97.3%
Tragic
91.2%
9th Grade
Exceptional
96.6%
Tragic
90.1%
10th Grade
Exceptional
95.8%
Tragic
86.9%
11th Grade
Exceptional
94.8%
Tragic
85.0%
12th Grade, No Diploma
Exceptional
93.6%
Tragic
82.5%
High School Diploma
Exceptional
92.0%
Tragic
80.0%
GED/Equivalency
Exceptional
88.9%
Tragic
74.5%
College, Under 1 year
Exceptional
68.8%
Tragic
52.6%
College, 1 year or more
Exceptional
62.9%
Tragic
46.2%
Associate's Degree
Exceptional
50.6%
Tragic
32.3%
Bachelor's Degree
Exceptional
42.2%
Tragic
24.5%
Master's Degree
Exceptional
17.7%
Tragic
9.5%
Professional Degree
Exceptional
5.4%
Tragic
3.1%
Doctorate Degree
Exceptional
2.3%
Tragic
1.3%

Lithuanian vs Yakama Disability

When considering disability, the most significant differences between Lithuanian and Yakama communities in the United States are seen in disability age under 5 (1.6% compared to 1.00%, a difference of 56.2%), disability age 65 to 74 (21.4% compared to 29.6%, a difference of 38.5%), and disability age 18 to 34 (7.0% compared to 9.0%, a difference of 29.0%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 6.3%, a difference of 8.8%), female disability (12.2% compared to 13.2%, a difference of 8.9%), and cognitive disability (16.3% compared to 18.1%, a difference of 11.4%).
Lithuanian vs Yakama Disability
Disability MetricLithuanianYakama
Disability
Poor
11.9%
Tragic
13.4%
Males
Tragic
11.6%
Tragic
13.5%
Females
Average
12.2%
Tragic
13.2%
Age | Under 5 years
Tragic
1.6%
Exceptional
1.00%
Age | 5 to 17 years
Tragic
5.8%
Tragic
6.3%
Age | 18 to 34 years
Tragic
7.0%
Tragic
9.0%
Age | 35 to 64 years
Excellent
10.8%
Tragic
13.6%
Age | 65 to 74 years
Exceptional
21.4%
Tragic
29.6%
Age | Over 75 years
Exceptional
45.1%
Tragic
51.3%
Vision
Exceptional
2.0%
Tragic
2.5%
Hearing
Tragic
3.4%
Tragic
3.9%
Cognitive
Exceptional
16.3%
Tragic
18.1%
Ambulatory
Excellent
6.0%
Tragic
6.8%
Self-Care
Exceptional
2.4%
Tragic
2.7%