Yakama vs Immigrants from Lithuania Community Comparison

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Yakama
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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 AmericaLatviaLebanonLiberiaMalaysiaMexicoMicronesiaMiddle 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
Immigrants from Lithuania
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAmericanApacheArabArapahoArgentineanArmenianAustralianAustrianBahamianBangladeshiBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSerbianShoshoneSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTlingit-HaidaTonganTrinidadian and TobagonianTsimshianTurkishUgandanUkrainianUteVenezuelanVietnameseWelshWest IndianYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaire
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Yakama

Immigrants from Lithuania

Poor
Exceptional
1,331
SOCIAL INDEX
10.9/ 100
SOCIAL RATING
315th/ 347
SOCIAL RANK
9,656
SOCIAL INDEX
94.0/ 100
SOCIAL RATING
10th/ 347
SOCIAL RANK

Immigrants from Lithuania Integration in Yakama Communities

The statistical analysis conducted on geographies consisting of 8,952,239 people shows a perfect positive correlation between the proportion of Immigrants from Lithuania within Yakama communities in the United States with a correlation coefficient (R) of 1.000. On average, for every 1% (one percent) increase in Yakama within a typical geography, there is an increase of 0.999% in Immigrants from Lithuania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Yakama corresponds to an increase of 999.1 Immigrants from Lithuania.
Yakama Integration in Immigrants from Lithuania Communities

Yakama vs Immigrants from Lithuania Income

When considering income, the most significant differences between Yakama and Immigrants from Lithuania communities in the United States are seen in per capita income ($33,009 compared to $51,361, a difference of 55.6%), householder income ages 25 - 44 years ($76,226 compared to $108,149, a difference of 41.9%), and median male earnings ($45,002 compared to $63,346, a difference of 40.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,321 compared to $55,028, a difference of 1.3%), householder income over 65 years ($56,234 compared to $66,087, a difference of 17.5%), and wage/income gap (23.7% compared to 28.6%, a difference of 20.5%).
Yakama vs Immigrants from Lithuania Income
Income MetricYakamaImmigrants from Lithuania
Per Capita Income
Tragic
$33,009
Exceptional
$51,361
Median Family Income
Tragic
$83,932
Exceptional
$118,053
Median Household Income
Tragic
$72,225
Exceptional
$96,836
Median Earnings
Tragic
$39,107
Exceptional
$52,769
Median Male Earnings
Tragic
$45,002
Exceptional
$63,346
Median Female Earnings
Tragic
$33,354
Exceptional
$43,317
Householder Age | Under 25 years
Exceptional
$54,321
Exceptional
$55,028
Householder Age | 25 - 44 years
Tragic
$76,226
Exceptional
$108,149
Householder Age | 45 - 64 years
Tragic
$86,992
Exceptional
$114,336
Householder Age | Over 65 years
Tragic
$56,234
Exceptional
$66,087
Wage/Income Gap
Exceptional
23.7%
Tragic
28.6%

Yakama vs Immigrants from Lithuania Poverty

When considering poverty, the most significant differences between Yakama and Immigrants from Lithuania communities in the United States are seen in receiving food stamps (21.4% compared to 9.2%, a difference of 131.7%), married-couple family poverty (9.0% compared to 4.3%, a difference of 107.4%), and family poverty (13.1% compared to 7.2%, a difference of 81.3%). Conversely, both communities are more comparable in terms of single father poverty (18.1% compared to 15.3%, a difference of 18.4%), single male poverty (15.9% compared to 11.6%, a difference of 37.3%), and single mother poverty (36.4% compared to 25.2%, a difference of 44.4%).
Yakama vs Immigrants from Lithuania Poverty
Poverty MetricYakamaImmigrants from Lithuania
Poverty
Tragic
16.7%
Exceptional
10.3%
Families
Tragic
13.1%
Exceptional
7.2%
Males
Tragic
15.3%
Exceptional
9.4%
Females
Tragic
18.0%
Exceptional
11.3%
Females 18 to 24 years
Tragic
25.3%
Exceptional
17.4%
Females 25 to 34 years
Tragic
17.6%
Exceptional
11.1%
Children Under 5 years
Tragic
23.1%
Exceptional
14.1%
Children Under 16 years
Tragic
22.1%
Exceptional
12.9%
Boys Under 16 years
Tragic
21.7%
Exceptional
13.5%
Girls Under 16 years
Tragic
22.6%
Exceptional
13.1%
Single Males
Tragic
15.9%
Exceptional
11.6%
Single Females
Tragic
28.3%
Exceptional
17.8%
Single Fathers
Tragic
18.1%
Exceptional
15.3%
Single Mothers
Tragic
36.4%
Exceptional
25.2%
Married Couples
Tragic
9.0%
Exceptional
4.3%
Seniors Over 65 years
Tragic
14.8%
Exceptional
9.7%
Seniors Over 75 years
Tragic
18.3%
Exceptional
11.0%
Receiving Food Stamps
Tragic
21.4%
Exceptional
9.2%

Yakama vs Immigrants from Lithuania Unemployment

When considering unemployment, the most significant differences between Yakama and Immigrants from Lithuania communities in the United States are seen in unemployment among seniors over 75 years (18.4% compared to 8.7%, a difference of 111.4%), unemployment among ages 30 to 34 years (9.8% compared to 5.2%, a difference of 88.3%), and unemployment among ages 55 to 59 years (8.9% compared to 4.8%, a difference of 87.0%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (6.6% compared to 7.5%, a difference of 13.9%), unemployment among women with children ages 6 to 17 years (9.9% compared to 8.6%, a difference of 15.6%), and unemployment among ages 60 to 64 years (6.0% compared to 4.8%, a difference of 25.1%).
Yakama vs Immigrants from Lithuania Unemployment
Unemployment MetricYakamaImmigrants from Lithuania
Unemployment
Tragic
7.3%
Exceptional
5.0%
Males
Tragic
7.9%
Excellent
5.1%
Females
Tragic
6.7%
Exceptional
4.9%
Youth < 25
Tragic
15.6%
Exceptional
11.3%
Age | 16 to 19 years
Tragic
22.5%
Exceptional
17.0%
Age | 20 to 24 years
Tragic
13.1%
Excellent
10.1%
Age | 25 to 29 years
Tragic
8.8%
Exceptional
6.2%
Age | 30 to 34 years
Tragic
9.8%
Exceptional
5.2%
Age | 35 to 44 years
Tragic
5.6%
Exceptional
4.4%
Age | 45 to 54 years
Tragic
5.7%
Fair
4.6%
Age | 55 to 59 years
Tragic
8.9%
Good
4.8%
Age | 60 to 64 years
Tragic
6.0%
Excellent
4.8%
Age | 65 to 74 years
Tragic
6.6%
Exceptional
5.2%
Seniors > 65
Tragic
6.7%
Exceptional
5.0%
Seniors > 75
Tragic
18.4%
Average
8.7%
Women w/ Children < 6
Exceptional
6.6%
Good
7.5%
Women w/ Children 6 to 17
Tragic
9.9%
Exceptional
8.6%
Women w/ Children < 18
Tragic
8.1%
Exceptional
5.2%

Yakama vs Immigrants from Lithuania Labor Participation

When considering labor participation, the most significant differences between Yakama and Immigrants from Lithuania communities in the United States are seen in in labor force | age 30-34 (79.1% compared to 85.6%, a difference of 8.2%), in labor force | age 35-44 (79.0% compared to 85.4%, a difference of 8.1%), and in labor force | age 25-29 (80.6% compared to 86.1%, a difference of 6.9%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (36.9% compared to 37.2%, a difference of 0.91%), in labor force | age 20-24 (75.1% compared to 76.1%, a difference of 1.4%), and in labor force | age 45-54 (80.6% compared to 83.9%, a difference of 4.1%).
Yakama vs Immigrants from Lithuania Labor Participation
Labor Participation MetricYakamaImmigrants from Lithuania
In Labor Force | Age > 16
Tragic
62.1%
Exceptional
65.6%
In Labor Force | Age 20-64
Tragic
75.8%
Exceptional
80.7%
In Labor Force | Age 16-19
Good
36.9%
Excellent
37.2%
In Labor Force | Age 20-24
Average
75.1%
Exceptional
76.1%
In Labor Force | Age 25-29
Tragic
80.6%
Exceptional
86.1%
In Labor Force | Age 30-34
Tragic
79.1%
Exceptional
85.6%
In Labor Force | Age 35-44
Tragic
79.0%
Exceptional
85.4%
In Labor Force | Age 45-54
Tragic
80.6%
Exceptional
83.9%

Yakama vs Immigrants from Lithuania Family Structure

When considering family structure, the most significant differences between Yakama and Immigrants from Lithuania communities in the United States are seen in single father households (4.2% compared to 1.9%, a difference of 122.0%), single mother households (8.4% compared to 5.3%, a difference of 60.2%), and births to unmarried women (40.3% compared to 27.7%, a difference of 45.4%). Conversely, both communities are more comparable in terms of married-couple households (45.2% compared to 48.6%, a difference of 7.4%), family households (69.3% compared to 63.9%, a difference of 8.5%), and divorced or separated (12.3% compared to 11.3%, a difference of 9.1%).
Yakama vs Immigrants from Lithuania Family Structure
Family Structure MetricYakamaImmigrants from Lithuania
Family Households
Exceptional
69.3%
Poor
63.9%
Family Households with Children
Exceptional
30.8%
Tragic
26.8%
Married-couple Households
Tragic
45.2%
Exceptional
48.6%
Average Family Size
Exceptional
3.45
Tragic
3.15
Single Father Households
Tragic
4.2%
Exceptional
1.9%
Single Mother Households
Tragic
8.4%
Exceptional
5.3%
Currently Married
Tragic
44.0%
Exceptional
48.8%
Divorced or Separated
Tragic
12.3%
Exceptional
11.3%
Births to Unmarried Women
Tragic
40.3%
Exceptional
27.7%

Yakama vs Immigrants from Lithuania Vehicle Availability

When considering vehicle availability, the most significant differences between Yakama and Immigrants from Lithuania communities in the United States are seen in 4 or more vehicles in household (12.9% compared to 5.6%, a difference of 129.4%), 3 or more vehicles in household (31.0% compared to 18.5%, a difference of 67.9%), and no vehicles in household (6.6% compared to 9.8%, a difference of 48.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.6% compared to 90.2%, a difference of 3.7%), 2 or more vehicles in household (64.9% compared to 55.8%, a difference of 16.3%), and no vehicles in household (6.6% compared to 9.8%, a difference of 48.6%).
Yakama vs Immigrants from Lithuania Vehicle Availability
Vehicle Availability MetricYakamaImmigrants from Lithuania
No Vehicles Available
Exceptional
6.6%
Excellent
9.8%
1+ Vehicles Available
Exceptional
93.6%
Excellent
90.2%
2+ Vehicles Available
Exceptional
64.9%
Good
55.8%
3+ Vehicles Available
Exceptional
31.0%
Tragic
18.5%
4+ Vehicles Available
Exceptional
12.9%
Tragic
5.6%

Yakama vs Immigrants from Lithuania Education Level

When considering education level, the most significant differences between Yakama and Immigrants from Lithuania communities in the United States are seen in no schooling completed (3.6% compared to 1.7%, a difference of 110.2%), master's degree (9.5% compared to 18.5%, a difference of 95.4%), and bachelor's degree (24.5% compared to 44.6%, a difference of 82.4%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.3%, a difference of 1.8%), kindergarten (96.6% compared to 98.3%, a difference of 1.8%), and 1st grade (96.5% compared to 98.3%, a difference of 1.8%).
Yakama vs Immigrants from Lithuania Education Level
Education Level MetricYakamaImmigrants from Lithuania
No Schooling Completed
Tragic
3.6%
Exceptional
1.7%
Nursery School
Tragic
96.6%
Exceptional
98.3%
Kindergarten
Tragic
96.6%
Exceptional
98.3%
1st Grade
Tragic
96.5%
Exceptional
98.3%
2nd Grade
Tragic
96.4%
Exceptional
98.2%
3rd Grade
Tragic
95.9%
Exceptional
98.2%
4th Grade
Tragic
95.2%
Exceptional
98.0%
5th Grade
Tragic
94.8%
Exceptional
97.8%
6th Grade
Tragic
94.3%
Exceptional
97.6%
7th Grade
Tragic
91.7%
Exceptional
96.8%
8th Grade
Tragic
91.2%
Exceptional
96.6%
9th Grade
Tragic
90.1%
Exceptional
95.8%
10th Grade
Tragic
86.9%
Exceptional
95.0%
11th Grade
Tragic
85.0%
Exceptional
94.1%
12th Grade, No Diploma
Tragic
82.5%
Exceptional
93.1%
High School Diploma
Tragic
80.0%
Exceptional
91.3%
GED/Equivalency
Tragic
74.5%
Exceptional
88.6%
College, Under 1 year
Tragic
52.6%
Exceptional
70.3%
College, 1 year or more
Tragic
46.2%
Exceptional
64.6%
Associate's Degree
Tragic
32.3%
Exceptional
52.4%
Bachelor's Degree
Tragic
24.5%
Exceptional
44.6%
Master's Degree
Tragic
9.5%
Exceptional
18.5%
Professional Degree
Tragic
3.1%
Exceptional
5.6%
Doctorate Degree
Tragic
1.3%
Exceptional
2.2%

Yakama vs Immigrants from Lithuania Disability

When considering disability, the most significant differences between Yakama and Immigrants from Lithuania communities in the United States are seen in disability age 18 to 34 (9.0% compared to 5.8%, a difference of 54.9%), disability age 65 to 74 (29.6% compared to 20.5%, a difference of 44.2%), and disability age 35 to 64 (13.6% compared to 9.6%, a difference of 41.3%). Conversely, both communities are more comparable in terms of cognitive disability (18.1% compared to 16.0%, a difference of 13.5%), disability age over 75 (51.3% compared to 44.9%, a difference of 14.3%), and female disability (13.2% compared to 11.2%, a difference of 18.0%).
Yakama vs Immigrants from Lithuania Disability
Disability MetricYakamaImmigrants from Lithuania
Disability
Tragic
13.4%
Exceptional
10.9%
Males
Tragic
13.5%
Exceptional
10.5%
Females
Tragic
13.2%
Exceptional
11.2%
Age | Under 5 years
Exceptional
1.00%
Fair
1.3%
Age | 5 to 17 years
Tragic
6.3%
Exceptional
5.1%
Age | 18 to 34 years
Tragic
9.0%
Exceptional
5.8%
Age | 35 to 64 years
Tragic
13.6%
Exceptional
9.6%
Age | 65 to 74 years
Tragic
29.6%
Exceptional
20.5%
Age | Over 75 years
Tragic
51.3%
Exceptional
44.9%
Vision
Tragic
2.5%
Exceptional
1.9%
Hearing
Tragic
3.9%
Good
2.9%
Cognitive
Tragic
18.1%
Exceptional
16.0%
Ambulatory
Tragic
6.8%
Exceptional
5.6%
Self-Care
Tragic
2.7%
Exceptional
2.3%