Lithuanian vs Kenyan Community Comparison

COMPARE

Lithuanian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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
Kenyan
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

Kenyans

Excellent
Good
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK

Kenyan Integration in Lithuanian Communities

The statistical analysis conducted on geographies consisting of 154,001,161 people shows a poor positive correlation between the proportion of Kenyans within Lithuanian communities in the United States with a correlation coefficient (R) of 0.124. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.023% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 23.5 Kenyans.
Lithuanian Integration in Kenyan Communities

Lithuanian vs Kenyan Income

When considering income, the most significant differences between Lithuanian and Kenyan communities in the United States are seen in wage/income gap (28.7% compared to 24.5%, a difference of 17.5%), per capita income ($49,448 compared to $42,808, a difference of 15.5%), and householder income ages 25 - 44 years ($105,223 compared to $91,684, a difference of 14.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,552 compared to $50,815, a difference of 5.4%), median female earnings ($42,108 compared to $39,860, a difference of 5.6%), and householder income over 65 years ($65,209 compared to $60,514, a difference of 7.8%).
Lithuanian vs Kenyan Income
Income MetricLithuanianKenyan
Per Capita Income
Exceptional
$49,448
Fair
$42,808
Median Family Income
Exceptional
$115,395
Fair
$101,417
Median Household Income
Exceptional
$93,852
Fair
$84,085
Median Earnings
Exceptional
$50,991
Average
$46,462
Median Male Earnings
Exceptional
$61,228
Fair
$53,647
Median Female Earnings
Exceptional
$42,108
Average
$39,860
Householder Age | Under 25 years
Exceptional
$53,552
Tragic
$50,815
Householder Age | 25 - 44 years
Exceptional
$105,223
Poor
$91,684
Householder Age | 45 - 64 years
Exceptional
$112,484
Fair
$98,970
Householder Age | Over 65 years
Exceptional
$65,209
Fair
$60,514
Wage/Income Gap
Tragic
28.7%
Exceptional
24.5%

Lithuanian vs Kenyan Poverty

When considering poverty, the most significant differences between Lithuanian and Kenyan communities in the United States are seen in family poverty (7.2% compared to 8.9%, a difference of 24.0%), child poverty under the age of 16 (13.5% compared to 16.5%, a difference of 22.1%), and child poverty among girls under 16 (13.9% compared to 16.8%, a difference of 21.3%). Conversely, both communities are more comparable in terms of single mother poverty (27.4% compared to 28.4%, a difference of 3.5%), single male poverty (13.0% compared to 12.4%, a difference of 5.3%), and female poverty among 18-24 year olds (18.7% compared to 20.2%, a difference of 7.8%).
Lithuanian vs Kenyan Poverty
Poverty MetricLithuanianKenyan
Poverty
Exceptional
10.5%
Fair
12.5%
Families
Exceptional
7.2%
Average
8.9%
Males
Exceptional
9.5%
Fair
11.3%
Females
Exceptional
11.4%
Average
13.5%
Females 18 to 24 years
Exceptional
18.7%
Average
20.2%
Females 25 to 34 years
Exceptional
12.2%
Average
13.5%
Children Under 5 years
Exceptional
15.2%
Fair
17.5%
Children Under 16 years
Exceptional
13.5%
Fair
16.5%
Boys Under 16 years
Exceptional
14.0%
Average
16.6%
Girls Under 16 years
Exceptional
13.9%
Fair
16.8%
Single Males
Fair
13.0%
Exceptional
12.4%
Single Females
Exceptional
19.2%
Good
20.8%
Single Fathers
Tragic
17.3%
Exceptional
15.3%
Single Mothers
Exceptional
27.4%
Exceptional
28.4%
Married Couples
Exceptional
4.0%
Exceptional
4.8%
Seniors Over 65 years
Exceptional
9.1%
Exceptional
10.3%
Seniors Over 75 years
Exceptional
10.6%
Exceptional
11.5%
Receiving Food Stamps
Exceptional
9.7%
Good
11.6%

Lithuanian vs Kenyan Unemployment

When considering unemployment, the most significant differences between Lithuanian and Kenyan communities in the United States are seen in unemployment among ages 65 to 74 years (5.4% compared to 4.8%, a difference of 12.0%), unemployment among seniors over 75 years (9.9% compared to 9.1%, a difference of 8.8%), and unemployment among seniors over 65 years (5.1% compared to 4.7%, a difference of 8.8%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.3% compared to 11.2%, a difference of 0.23%), unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.35%), and unemployment among ages 45 to 54 years (4.3% compared to 4.3%, a difference of 0.95%).
Lithuanian vs Kenyan Unemployment
Unemployment MetricLithuanianKenyan
Unemployment
Exceptional
4.8%
Excellent
5.1%
Males
Exceptional
5.0%
Good
5.2%
Females
Exceptional
4.7%
Exceptional
5.0%
Youth < 25
Exceptional
11.3%
Exceptional
11.2%
Age | 16 to 19 years
Exceptional
16.7%
Exceptional
16.1%
Age | 20 to 24 years
Good
10.2%
Exceptional
9.9%
Age | 25 to 29 years
Good
6.5%
Exceptional
6.3%
Age | 30 to 34 years
Good
5.4%
Exceptional
5.2%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.4%
Age | 45 to 54 years
Exceptional
4.3%
Exceptional
4.3%
Age | 55 to 59 years
Excellent
4.7%
Exceptional
4.4%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.6%
Age | 65 to 74 years
Fair
5.4%
Exceptional
4.8%
Seniors > 65
Average
5.1%
Exceptional
4.7%
Seniors > 75
Tragic
9.9%
Tragic
9.1%
Women w/ Children < 6
Fair
7.8%
Good
7.6%
Women w/ Children 6 to 17
Tragic
9.4%
Excellent
8.8%
Women w/ Children < 18
Exceptional
5.0%
Excellent
5.3%

Lithuanian vs Kenyan Labor Participation

When considering labor participation, the most significant differences between Lithuanian and Kenyan communities in the United States are seen in in labor force | age > 16 (64.8% compared to 67.6%, a difference of 4.2%), in labor force | age 16-19 (40.4% compared to 40.1%, a difference of 0.73%), and in labor force | age 20-64 (80.2% compared to 80.8%, a difference of 0.71%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.2% compared to 85.2%, a difference of 0.030%), in labor force | age 20-24 (77.0% compared to 77.0%, a difference of 0.060%), and in labor force | age 45-54 (83.6% compared to 83.7%, a difference of 0.13%).
Lithuanian vs Kenyan Labor Participation
Labor Participation MetricLithuanianKenyan
In Labor Force | Age > 16
Poor
64.8%
Exceptional
67.6%
In Labor Force | Age 20-64
Exceptional
80.2%
Exceptional
80.8%
In Labor Force | Age 16-19
Exceptional
40.4%
Exceptional
40.1%
In Labor Force | Age 20-24
Exceptional
77.0%
Exceptional
77.0%
In Labor Force | Age 25-29
Exceptional
85.8%
Exceptional
85.4%
In Labor Force | Age 30-34
Exceptional
85.6%
Exceptional
85.4%
In Labor Force | Age 35-44
Exceptional
85.2%
Exceptional
85.2%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
83.7%

Lithuanian vs Kenyan Family Structure

When considering family structure, the most significant differences between Lithuanian and Kenyan communities in the United States are seen in single mother households (5.4% compared to 7.0%, a difference of 28.1%), single father households (2.1% compared to 2.4%, a difference of 12.7%), and married-couple households (48.9% compared to 44.7%, a difference of 9.4%). Conversely, both communities are more comparable in terms of family households (64.0% compared to 63.2%, a difference of 1.4%), average family size (3.10 compared to 3.21, a difference of 3.6%), and divorced or separated (11.7% compared to 12.2%, a difference of 3.9%).
Lithuanian vs Kenyan Family Structure
Family Structure MetricLithuanianKenyan
Family Households
Fair
64.0%
Tragic
63.2%
Family Households with Children
Tragic
26.6%
Exceptional
28.4%
Married-couple Households
Exceptional
48.9%
Tragic
44.7%
Average Family Size
Tragic
3.10
Fair
3.21
Single Father Households
Exceptional
2.1%
Fair
2.4%
Single Mother Households
Exceptional
5.4%
Tragic
7.0%
Currently Married
Exceptional
49.0%
Tragic
45.2%
Divorced or Separated
Exceptional
11.7%
Fair
12.2%
Births to Unmarried Women
Exceptional
29.6%
Average
31.9%

Lithuanian vs Kenyan Vehicle Availability

When considering vehicle availability, the most significant differences between Lithuanian and Kenyan communities in the United States are seen in no vehicles in household (8.4% compared to 9.7%, a difference of 15.0%), 3 or more vehicles in household (20.1% compared to 19.1%, a difference of 5.4%), and 2 or more vehicles in household (58.2% compared to 55.5%, a difference of 4.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 90.4%, a difference of 1.5%), 4 or more vehicles in household (6.3% compared to 6.1%, a difference of 3.9%), and 2 or more vehicles in household (58.2% compared to 55.5%, a difference of 4.9%).
Lithuanian vs Kenyan Vehicle Availability
Vehicle Availability MetricLithuanianKenyan
No Vehicles Available
Exceptional
8.4%
Excellent
9.7%
1+ Vehicles Available
Exceptional
91.7%
Excellent
90.4%
2+ Vehicles Available
Exceptional
58.2%
Average
55.5%
3+ Vehicles Available
Excellent
20.1%
Fair
19.1%
4+ Vehicles Available
Average
6.3%
Poor
6.1%

Lithuanian vs Kenyan Education Level

When considering education level, the most significant differences between Lithuanian and Kenyan communities in the United States are seen in no schooling completed (1.4% compared to 2.0%, a difference of 42.3%), professional degree (5.4% compared to 4.4%, a difference of 22.1%), and doctorate degree (2.3% compared to 1.9%, a difference of 15.9%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.0%, a difference of 0.66%), kindergarten (98.6% compared to 98.0%, a difference of 0.66%), and 1st grade (98.6% compared to 97.9%, a difference of 0.67%).
Lithuanian vs Kenyan Education Level
Education Level MetricLithuanianKenyan
No Schooling Completed
Exceptional
1.4%
Good
2.0%
Nursery School
Exceptional
98.6%
Average
98.0%
Kindergarten
Exceptional
98.6%
Average
98.0%
1st Grade
Exceptional
98.6%
Average
97.9%
2nd Grade
Exceptional
98.5%
Average
97.9%
3rd Grade
Exceptional
98.5%
Average
97.8%
4th Grade
Exceptional
98.3%
Average
97.5%
5th Grade
Exceptional
98.2%
Average
97.4%
6th Grade
Exceptional
98.1%
Good
97.1%
7th Grade
Exceptional
97.5%
Good
96.2%
8th Grade
Exceptional
97.3%
Good
95.9%
9th Grade
Exceptional
96.6%
Good
95.1%
10th Grade
Exceptional
95.8%
Good
94.0%
11th Grade
Exceptional
94.8%
Excellent
92.9%
12th Grade, No Diploma
Exceptional
93.6%
Good
91.5%
High School Diploma
Exceptional
92.0%
Excellent
89.6%
GED/Equivalency
Exceptional
88.9%
Good
86.3%
College, Under 1 year
Exceptional
68.8%
Excellent
66.5%
College, 1 year or more
Exceptional
62.9%
Good
60.5%
Associate's Degree
Exceptional
50.6%
Good
47.1%
Bachelor's Degree
Exceptional
42.2%
Good
38.7%
Master's Degree
Exceptional
17.7%
Good
15.3%
Professional Degree
Exceptional
5.4%
Average
4.4%
Doctorate Degree
Exceptional
2.3%
Excellent
1.9%

Lithuanian vs Kenyan Disability

When considering disability, the most significant differences between Lithuanian and Kenyan communities in the United States are seen in disability age under 5 (1.6% compared to 1.2%, a difference of 29.2%), hearing disability (3.4% compared to 2.8%, a difference of 17.9%), and cognitive disability (16.3% compared to 18.1%, a difference of 11.6%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.8%, a difference of 0.52%), vision disability (2.0% compared to 2.1%, a difference of 2.1%), and self-care disability (2.4% compared to 2.3%, a difference of 2.2%).
Lithuanian vs Kenyan Disability
Disability MetricLithuanianKenyan
Disability
Poor
11.9%
Excellent
11.5%
Males
Tragic
11.6%
Good
11.0%
Females
Average
12.2%
Exceptional
11.9%
Age | Under 5 years
Tragic
1.6%
Good
1.2%
Age | 5 to 17 years
Tragic
5.8%
Poor
5.8%
Age | 18 to 34 years
Tragic
7.0%
Poor
6.8%
Age | 35 to 64 years
Excellent
10.8%
Fair
11.4%
Age | 65 to 74 years
Exceptional
21.4%
Fair
23.7%
Age | Over 75 years
Exceptional
45.1%
Average
47.2%
Vision
Exceptional
2.0%
Exceptional
2.1%
Hearing
Tragic
3.4%
Excellent
2.8%
Cognitive
Exceptional
16.3%
Tragic
18.1%
Ambulatory
Excellent
6.0%
Exceptional
5.8%
Self-Care
Exceptional
2.4%
Exceptional
2.3%