African vs Lithuanian Community Comparison

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African
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
Lithuanian
Race
Ancestry
AfghanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta 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 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

Africans

Lithuanians

Tragic
Excellent
624
SOCIAL INDEX
3.8/ 100
SOCIAL RATING
341st/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK

Lithuanian Integration in African Communities

The statistical analysis conducted on geographies consisting of 369,392,991 people shows a slight positive correlation between the proportion of Lithuanians within African communities in the United States with a correlation coefficient (R) of 0.095. On average, for every 1% (one percent) increase in Africans within a typical geography, there is an increase of 0.001% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Africans corresponds to an increase of 1.4 Lithuanians.
African Integration in Lithuanian Communities

African vs Lithuanian Income

When considering income, the most significant differences between African and Lithuanian communities in the United States are seen in householder income ages 25 - 44 years ($78,986 compared to $105,223, a difference of 33.2%), householder income ages 45 - 64 years ($84,925 compared to $112,484, a difference of 32.5%), and median family income ($87,820 compared to $115,395, a difference of 31.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($46,838 compared to $53,552, a difference of 14.3%), median female earnings ($36,530 compared to $42,108, a difference of 15.3%), and householder income over 65 years ($53,711 compared to $65,209, a difference of 21.4%).
African vs Lithuanian Income
Income MetricAfricanLithuanian
Per Capita Income
Tragic
$37,785
Exceptional
$49,448
Median Family Income
Tragic
$87,820
Exceptional
$115,395
Median Household Income
Tragic
$72,650
Exceptional
$93,852
Median Earnings
Tragic
$41,955
Exceptional
$50,991
Median Male Earnings
Tragic
$47,994
Exceptional
$61,228
Median Female Earnings
Tragic
$36,530
Exceptional
$42,108
Householder Age | Under 25 years
Tragic
$46,838
Exceptional
$53,552
Householder Age | 25 - 44 years
Tragic
$78,986
Exceptional
$105,223
Householder Age | 45 - 64 years
Tragic
$84,925
Exceptional
$112,484
Householder Age | Over 65 years
Tragic
$53,711
Exceptional
$65,209
Wage/Income Gap
Exceptional
22.9%
Tragic
28.7%

African vs Lithuanian Poverty

When considering poverty, the most significant differences between African and Lithuanian communities in the United States are seen in family poverty (11.8% compared to 7.2%, a difference of 63.9%), child poverty under the age of 16 (21.7% compared to 13.5%, a difference of 60.4%), and child poverty among girls under 16 (21.9% compared to 13.9%, a difference of 58.2%). Conversely, both communities are more comparable in terms of single father poverty (18.3% compared to 17.3%, a difference of 6.0%), single male poverty (14.7% compared to 13.0%, a difference of 13.2%), and single mother poverty (33.3% compared to 27.4%, a difference of 21.5%).
African vs Lithuanian Poverty
Poverty MetricAfricanLithuanian
Poverty
Tragic
15.6%
Exceptional
10.5%
Families
Tragic
11.8%
Exceptional
7.2%
Males
Tragic
14.2%
Exceptional
9.5%
Females
Tragic
16.9%
Exceptional
11.4%
Females 18 to 24 years
Tragic
22.8%
Exceptional
18.7%
Females 25 to 34 years
Tragic
17.0%
Exceptional
12.2%
Children Under 5 years
Tragic
22.8%
Exceptional
15.2%
Children Under 16 years
Tragic
21.7%
Exceptional
13.5%
Boys Under 16 years
Tragic
21.7%
Exceptional
14.0%
Girls Under 16 years
Tragic
21.9%
Exceptional
13.9%
Single Males
Tragic
14.7%
Fair
13.0%
Single Females
Tragic
24.8%
Exceptional
19.2%
Single Fathers
Tragic
18.3%
Tragic
17.3%
Single Mothers
Tragic
33.3%
Exceptional
27.4%
Married Couples
Tragic
6.0%
Exceptional
4.0%
Seniors Over 65 years
Tragic
12.6%
Exceptional
9.1%
Seniors Over 75 years
Tragic
13.6%
Exceptional
10.6%
Receiving Food Stamps
Tragic
15.1%
Exceptional
9.7%

African vs Lithuanian Unemployment

When considering unemployment, the most significant differences between African and Lithuanian communities in the United States are seen in unemployment among women with children under 18 years (6.5% compared to 5.0%, a difference of 29.5%), unemployment among ages 35 to 44 years (5.6% compared to 4.4%, a difference of 26.6%), and unemployment (6.1% compared to 4.8%, a difference of 26.2%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.5% compared to 5.4%, a difference of 0.98%), unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 2.0%), and unemployment among ages 60 to 64 years (5.0% compared to 4.8%, a difference of 4.4%).
African vs Lithuanian Unemployment
Unemployment MetricAfricanLithuanian
Unemployment
Tragic
6.1%
Exceptional
4.8%
Males
Tragic
6.3%
Exceptional
5.0%
Females
Tragic
5.9%
Exceptional
4.7%
Youth < 25
Tragic
13.2%
Exceptional
11.3%
Age | 16 to 19 years
Tragic
19.5%
Exceptional
16.7%
Age | 20 to 24 years
Tragic
11.5%
Good
10.2%
Age | 25 to 29 years
Tragic
7.6%
Good
6.5%
Age | 30 to 34 years
Tragic
6.4%
Good
5.4%
Age | 35 to 44 years
Tragic
5.6%
Exceptional
4.4%
Age | 45 to 54 years
Tragic
5.1%
Exceptional
4.3%
Age | 55 to 59 years
Tragic
5.1%
Excellent
4.7%
Age | 60 to 64 years
Tragic
5.0%
Excellent
4.8%
Age | 65 to 74 years
Poor
5.5%
Fair
5.4%
Seniors > 65
Poor
5.2%
Average
5.1%
Seniors > 75
Tragic
9.1%
Tragic
9.9%
Women w/ Children < 6
Tragic
9.2%
Fair
7.8%
Women w/ Children 6 to 17
Tragic
10.4%
Tragic
9.4%
Women w/ Children < 18
Tragic
6.5%
Exceptional
5.0%

African vs Lithuanian Labor Participation

When considering labor participation, the most significant differences between African and Lithuanian communities in the United States are seen in in labor force | age 16-19 (38.0% compared to 40.4%, a difference of 6.4%), in labor force | age 45-54 (80.5% compared to 83.6%, a difference of 3.8%), and in labor force | age 25-29 (83.2% compared to 85.8%, a difference of 3.1%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.6% compared to 64.8%, a difference of 0.35%), in labor force | age 20-24 (75.0% compared to 77.0%, a difference of 2.6%), and in labor force | age 30-34 (83.4% compared to 85.6%, a difference of 2.7%).
African vs Lithuanian Labor Participation
Labor Participation MetricAfricanLithuanian
In Labor Force | Age > 16
Tragic
64.6%
Poor
64.8%
In Labor Force | Age 20-64
Tragic
77.9%
Exceptional
80.2%
In Labor Force | Age 16-19
Exceptional
38.0%
Exceptional
40.4%
In Labor Force | Age 20-24
Average
75.0%
Exceptional
77.0%
In Labor Force | Age 25-29
Tragic
83.2%
Exceptional
85.8%
In Labor Force | Age 30-34
Tragic
83.4%
Exceptional
85.6%
In Labor Force | Age 35-44
Tragic
82.9%
Exceptional
85.2%
In Labor Force | Age 45-54
Tragic
80.5%
Exceptional
83.6%

African vs Lithuanian Family Structure

When considering family structure, the most significant differences between African and Lithuanian communities in the United States are seen in single mother households (8.2% compared to 5.4%, a difference of 50.4%), births to unmarried women (39.7% compared to 29.6%, a difference of 34.4%), and married-couple households (40.9% compared to 48.9%, a difference of 19.4%). Conversely, both communities are more comparable in terms of family households with children (27.2% compared to 26.6%, a difference of 2.2%), family households (62.1% compared to 64.0%, a difference of 3.1%), and average family size (3.25 compared to 3.10, a difference of 4.8%).
African vs Lithuanian Family Structure
Family Structure MetricAfricanLithuanian
Family Households
Tragic
62.1%
Fair
64.0%
Family Households with Children
Poor
27.2%
Tragic
26.6%
Married-couple Households
Tragic
40.9%
Exceptional
48.9%
Average Family Size
Excellent
3.25
Tragic
3.10
Single Father Households
Tragic
2.5%
Exceptional
2.1%
Single Mother Households
Tragic
8.2%
Exceptional
5.4%
Currently Married
Tragic
41.8%
Exceptional
49.0%
Divorced or Separated
Tragic
13.2%
Exceptional
11.7%
Births to Unmarried Women
Tragic
39.7%
Exceptional
29.6%

African vs Lithuanian Vehicle Availability

When considering vehicle availability, the most significant differences between African and Lithuanian communities in the United States are seen in no vehicles in household (12.3% compared to 8.4%, a difference of 46.1%), 2 or more vehicles in household (51.8% compared to 58.2%, a difference of 12.4%), and 3 or more vehicles in household (18.2% compared to 20.1%, a difference of 10.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.8% compared to 91.7%, a difference of 4.5%), 4 or more vehicles in household (5.8% compared to 6.3%, a difference of 8.3%), and 3 or more vehicles in household (18.2% compared to 20.1%, a difference of 10.7%).
African vs Lithuanian Vehicle Availability
Vehicle Availability MetricAfricanLithuanian
No Vehicles Available
Tragic
12.3%
Exceptional
8.4%
1+ Vehicles Available
Tragic
87.8%
Exceptional
91.7%
2+ Vehicles Available
Tragic
51.8%
Exceptional
58.2%
3+ Vehicles Available
Tragic
18.2%
Excellent
20.1%
4+ Vehicles Available
Tragic
5.8%
Average
6.3%

African vs Lithuanian Education Level

When considering education level, the most significant differences between African and Lithuanian communities in the United States are seen in no schooling completed (2.2% compared to 1.4%, a difference of 51.8%), professional degree (3.7% compared to 5.4%, a difference of 46.6%), and doctorate degree (1.6% compared to 2.3%, a difference of 44.0%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 98.6%, a difference of 0.79%), kindergarten (97.8% compared to 98.6%, a difference of 0.80%), and 1st grade (97.8% compared to 98.6%, a difference of 0.80%).
African vs Lithuanian Education Level
Education Level MetricAfricanLithuanian
No Schooling Completed
Fair
2.2%
Exceptional
1.4%
Nursery School
Poor
97.9%
Exceptional
98.6%
Kindergarten
Poor
97.8%
Exceptional
98.6%
1st Grade
Poor
97.8%
Exceptional
98.6%
2nd Grade
Poor
97.7%
Exceptional
98.5%
3rd Grade
Poor
97.6%
Exceptional
98.5%
4th Grade
Poor
97.4%
Exceptional
98.3%
5th Grade
Poor
97.2%
Exceptional
98.2%
6th Grade
Poor
96.9%
Exceptional
98.1%
7th Grade
Poor
95.8%
Exceptional
97.5%
8th Grade
Poor
95.4%
Exceptional
97.3%
9th Grade
Tragic
94.5%
Exceptional
96.6%
10th Grade
Tragic
93.1%
Exceptional
95.8%
11th Grade
Tragic
91.5%
Exceptional
94.8%
12th Grade, No Diploma
Tragic
89.6%
Exceptional
93.6%
High School Diploma
Tragic
87.5%
Exceptional
92.0%
GED/Equivalency
Tragic
83.4%
Exceptional
88.9%
College, Under 1 year
Tragic
61.1%
Exceptional
68.8%
College, 1 year or more
Tragic
55.0%
Exceptional
62.9%
Associate's Degree
Tragic
41.1%
Exceptional
50.6%
Bachelor's Degree
Tragic
32.9%
Exceptional
42.2%
Master's Degree
Tragic
12.9%
Exceptional
17.7%
Professional Degree
Tragic
3.7%
Exceptional
5.4%
Doctorate Degree
Tragic
1.6%
Exceptional
2.3%

African vs Lithuanian Disability

When considering disability, the most significant differences between African and Lithuanian communities in the United States are seen in disability age 35 to 64 (13.6% compared to 10.8%, a difference of 25.7%), vision disability (2.5% compared to 2.0%, a difference of 24.6%), and disability age 65 to 74 (26.2% compared to 21.4%, a difference of 22.7%). Conversely, both communities are more comparable in terms of disability age 18 to 34 (7.4% compared to 7.0%, a difference of 6.2%), male disability (12.6% compared to 11.6%, a difference of 8.1%), and disability age over 75 (48.9% compared to 45.1%, a difference of 8.4%).
African vs Lithuanian Disability
Disability MetricAfricanLithuanian
Disability
Tragic
13.0%
Poor
11.9%
Males
Tragic
12.6%
Tragic
11.6%
Females
Tragic
13.4%
Average
12.2%
Age | Under 5 years
Tragic
1.4%
Tragic
1.6%
Age | 5 to 17 years
Tragic
6.5%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.4%
Tragic
7.0%
Age | 35 to 64 years
Tragic
13.6%
Excellent
10.8%
Age | 65 to 74 years
Tragic
26.2%
Exceptional
21.4%
Age | Over 75 years
Tragic
48.9%
Exceptional
45.1%
Vision
Tragic
2.5%
Exceptional
2.0%
Hearing
Fair
3.0%
Tragic
3.4%
Cognitive
Tragic
18.6%
Exceptional
16.3%
Ambulatory
Tragic
7.0%
Excellent
6.0%
Self-Care
Tragic
2.7%
Exceptional
2.4%