Lithuanian vs Sudanese Community Comparison

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Lithuanian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'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
Sudanese
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

Sudanese

Excellent
Average
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK
4,867
SOCIAL INDEX
46.2/ 100
SOCIAL RATING
190th/ 347
SOCIAL RANK

Sudanese Integration in Lithuanian Communities

The statistical analysis conducted on geographies consisting of 102,804,782 people shows no correlation between the proportion of Sudanese within Lithuanian communities in the United States with a correlation coefficient (R) of -0.004. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is a decrease of 0.001% in Sudanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to a decrease of 0.8 Sudanese.
Lithuanian Integration in Sudanese Communities

Lithuanian vs Sudanese Income

When considering income, the most significant differences between Lithuanian and Sudanese communities in the United States are seen in householder income ages 25 - 44 years ($105,223 compared to $84,401, a difference of 24.7%), householder income ages 45 - 64 years ($112,484 compared to $93,718, a difference of 20.0%), and wage/income gap (28.7% compared to 24.0%, a difference of 19.9%). Conversely, both communities are more comparable in terms of median female earnings ($42,108 compared to $38,215, a difference of 10.2%), householder income over 65 years ($65,209 compared to $58,281, a difference of 11.9%), and householder income under 25 years ($53,552 compared to $46,982, a difference of 14.0%).
Lithuanian vs Sudanese Income
Income MetricLithuanianSudanese
Per Capita Income
Exceptional
$49,448
Tragic
$41,695
Median Family Income
Exceptional
$115,395
Tragic
$96,783
Median Household Income
Exceptional
$93,852
Tragic
$78,529
Median Earnings
Exceptional
$50,991
Tragic
$44,419
Median Male Earnings
Exceptional
$61,228
Tragic
$51,216
Median Female Earnings
Exceptional
$42,108
Tragic
$38,215
Householder Age | Under 25 years
Exceptional
$53,552
Tragic
$46,982
Householder Age | 25 - 44 years
Exceptional
$105,223
Tragic
$84,401
Householder Age | 45 - 64 years
Exceptional
$112,484
Tragic
$93,718
Householder Age | Over 65 years
Exceptional
$65,209
Tragic
$58,281
Wage/Income Gap
Tragic
28.7%
Exceptional
24.0%

Lithuanian vs Sudanese Poverty

When considering poverty, the most significant differences between Lithuanian and Sudanese communities in the United States are seen in married-couple family poverty (4.0% compared to 5.6%, a difference of 42.1%), family poverty (7.2% compared to 10.0%, a difference of 39.5%), and child poverty under the age of 16 (13.5% compared to 18.5%, a difference of 36.7%). Conversely, both communities are more comparable in terms of single male poverty (13.0% compared to 13.1%, a difference of 0.36%), single father poverty (17.3% compared to 15.9%, a difference of 8.9%), and single mother poverty (27.4% compared to 30.0%, a difference of 9.6%).
Lithuanian vs Sudanese Poverty
Poverty MetricLithuanianSudanese
Poverty
Exceptional
10.5%
Tragic
14.0%
Families
Exceptional
7.2%
Tragic
10.0%
Males
Exceptional
9.5%
Tragic
12.8%
Females
Exceptional
11.4%
Tragic
15.2%
Females 18 to 24 years
Exceptional
18.7%
Tragic
23.0%
Females 25 to 34 years
Exceptional
12.2%
Tragic
14.4%
Children Under 5 years
Exceptional
15.2%
Tragic
19.3%
Children Under 16 years
Exceptional
13.5%
Tragic
18.5%
Boys Under 16 years
Exceptional
14.0%
Tragic
18.6%
Girls Under 16 years
Exceptional
13.9%
Tragic
18.6%
Single Males
Fair
13.0%
Poor
13.1%
Single Females
Exceptional
19.2%
Tragic
22.6%
Single Fathers
Tragic
17.3%
Exceptional
15.9%
Single Mothers
Exceptional
27.4%
Tragic
30.0%
Married Couples
Exceptional
4.0%
Tragic
5.6%
Seniors Over 65 years
Exceptional
9.1%
Good
10.7%
Seniors Over 75 years
Exceptional
10.6%
Excellent
11.8%
Receiving Food Stamps
Exceptional
9.7%
Fair
12.0%

Lithuanian vs Sudanese Unemployment

When considering unemployment, the most significant differences between Lithuanian and Sudanese communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.4% compared to 7.4%, a difference of 27.3%), unemployment among ages 25 to 29 years (6.5% compared to 5.4%, a difference of 21.7%), and unemployment among seniors over 75 years (9.9% compared to 8.3%, a difference of 19.4%). Conversely, both communities are more comparable in terms of female unemployment (4.7% compared to 4.8%, a difference of 0.28%), unemployment among women with children under 6 years (7.8% compared to 7.8%, a difference of 0.54%), and unemployment (4.8% compared to 4.8%, a difference of 0.74%).
Lithuanian vs Sudanese Unemployment
Unemployment MetricLithuanianSudanese
Unemployment
Exceptional
4.8%
Exceptional
4.8%
Males
Exceptional
5.0%
Exceptional
4.8%
Females
Exceptional
4.7%
Exceptional
4.8%
Youth < 25
Exceptional
11.3%
Exceptional
10.6%
Age | 16 to 19 years
Exceptional
16.7%
Exceptional
15.8%
Age | 20 to 24 years
Good
10.2%
Exceptional
9.2%
Age | 25 to 29 years
Good
6.5%
Exceptional
5.4%
Age | 30 to 34 years
Good
5.4%
Exceptional
4.6%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.1%
Age | 45 to 54 years
Exceptional
4.3%
Exceptional
4.3%
Age | 55 to 59 years
Excellent
4.7%
Exceptional
4.6%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.3%
Age | 65 to 74 years
Fair
5.4%
Exceptional
4.6%
Seniors > 65
Average
5.1%
Exceptional
4.4%
Seniors > 75
Tragic
9.9%
Exceptional
8.3%
Women w/ Children < 6
Fair
7.8%
Fair
7.8%
Women w/ Children 6 to 17
Tragic
9.4%
Exceptional
7.4%
Women w/ Children < 18
Exceptional
5.0%
Excellent
5.3%

Lithuanian vs Sudanese Labor Participation

When considering labor participation, the most significant differences between Lithuanian and Sudanese communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 42.9%, a difference of 6.0%), in labor force | age > 16 (64.8% compared to 68.0%, a difference of 4.9%), and in labor force | age 20-24 (77.0% compared to 78.4%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.8% compared to 85.9%, a difference of 0.16%), in labor force | age 35-44 (85.2% compared to 85.0%, a difference of 0.25%), and in labor force | age 30-34 (85.6% compared to 85.2%, a difference of 0.45%).
Lithuanian vs Sudanese Labor Participation
Labor Participation MetricLithuanianSudanese
In Labor Force | Age > 16
Poor
64.8%
Exceptional
68.0%
In Labor Force | Age 20-64
Exceptional
80.2%
Exceptional
80.8%
In Labor Force | Age 16-19
Exceptional
40.4%
Exceptional
42.9%
In Labor Force | Age 20-24
Exceptional
77.0%
Exceptional
78.4%
In Labor Force | Age 25-29
Exceptional
85.8%
Exceptional
85.9%
In Labor Force | Age 30-34
Exceptional
85.6%
Exceptional
85.2%
In Labor Force | Age 35-44
Exceptional
85.2%
Exceptional
85.0%
In Labor Force | Age 45-54
Exceptional
83.6%
Excellent
83.0%

Lithuanian vs Sudanese Family Structure

When considering family structure, the most significant differences between Lithuanian and Sudanese communities in the United States are seen in single mother households (5.4% compared to 6.9%, a difference of 27.0%), married-couple households (48.9% compared to 42.1%, a difference of 16.2%), and single father households (2.1% compared to 2.4%, a difference of 14.6%). Conversely, both communities are more comparable in terms of family households with children (26.6% compared to 27.4%, a difference of 3.0%), average family size (3.10 compared to 3.20, a difference of 3.1%), and divorced or separated (11.7% compared to 12.4%, a difference of 5.6%).
Lithuanian vs Sudanese Family Structure
Family Structure MetricLithuanianSudanese
Family Households
Fair
64.0%
Tragic
60.0%
Family Households with Children
Tragic
26.6%
Fair
27.4%
Married-couple Households
Exceptional
48.9%
Tragic
42.1%
Average Family Size
Tragic
3.10
Poor
3.20
Single Father Households
Exceptional
2.1%
Poor
2.4%
Single Mother Households
Exceptional
5.4%
Tragic
6.9%
Currently Married
Exceptional
49.0%
Tragic
43.7%
Divorced or Separated
Exceptional
11.7%
Tragic
12.4%
Births to Unmarried Women
Exceptional
29.6%
Fair
32.4%

Lithuanian vs Sudanese Vehicle Availability

When considering vehicle availability, the most significant differences between Lithuanian and Sudanese communities in the United States are seen in no vehicles in household (8.4% compared to 9.8%, a difference of 16.7%), 3 or more vehicles in household (20.1% compared to 17.8%, a difference of 12.7%), and 4 or more vehicles in household (6.3% compared to 5.6%, a difference of 12.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 90.3%, a difference of 1.5%), 2 or more vehicles in household (58.2% compared to 53.6%, a difference of 8.6%), and 4 or more vehicles in household (6.3% compared to 5.6%, a difference of 12.5%).
Lithuanian vs Sudanese Vehicle Availability
Vehicle Availability MetricLithuanianSudanese
No Vehicles Available
Exceptional
8.4%
Excellent
9.8%
1+ Vehicles Available
Exceptional
91.7%
Excellent
90.3%
2+ Vehicles Available
Exceptional
58.2%
Tragic
53.6%
3+ Vehicles Available
Excellent
20.1%
Tragic
17.8%
4+ Vehicles Available
Average
6.3%
Tragic
5.6%

Lithuanian vs Sudanese Education Level

When considering education level, the most significant differences between Lithuanian and Sudanese communities in the United States are seen in no schooling completed (1.4% compared to 2.3%, a difference of 60.9%), master's degree (17.7% compared to 15.3%, a difference of 16.0%), and professional degree (5.4% compared to 4.6%, a difference of 15.9%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.7%, a difference of 0.92%), kindergarten (98.6% compared to 97.7%, a difference of 0.92%), and 2nd grade (98.5% compared to 97.7%, a difference of 0.92%).
Lithuanian vs Sudanese Education Level
Education Level MetricLithuanianSudanese
No Schooling Completed
Exceptional
1.4%
Tragic
2.3%
Nursery School
Exceptional
98.6%
Tragic
97.7%
Kindergarten
Exceptional
98.6%
Tragic
97.7%
1st Grade
Exceptional
98.6%
Tragic
97.7%
2nd Grade
Exceptional
98.5%
Tragic
97.7%
3rd Grade
Exceptional
98.5%
Tragic
97.5%
4th Grade
Exceptional
98.3%
Tragic
97.3%
5th Grade
Exceptional
98.2%
Tragic
97.1%
6th Grade
Exceptional
98.1%
Poor
96.8%
7th Grade
Exceptional
97.5%
Fair
95.9%
8th Grade
Exceptional
97.3%
Fair
95.6%
9th Grade
Exceptional
96.6%
Fair
94.7%
10th Grade
Exceptional
95.8%
Fair
93.6%
11th Grade
Exceptional
94.8%
Average
92.5%
12th Grade, No Diploma
Exceptional
93.6%
Fair
91.0%
High School Diploma
Exceptional
92.0%
Average
89.1%
GED/Equivalency
Exceptional
88.9%
Fair
85.5%
College, Under 1 year
Exceptional
68.8%
Good
66.2%
College, 1 year or more
Exceptional
62.9%
Good
60.2%
Associate's Degree
Exceptional
50.6%
Good
47.1%
Bachelor's Degree
Exceptional
42.2%
Good
38.9%
Master's Degree
Exceptional
17.7%
Good
15.3%
Professional Degree
Exceptional
5.4%
Excellent
4.6%
Doctorate Degree
Exceptional
2.3%
Exceptional
2.1%

Lithuanian vs Sudanese Disability

When considering disability, the most significant differences between Lithuanian and Sudanese communities in the United States are seen in disability age under 5 (1.6% compared to 1.1%, a difference of 37.5%), cognitive disability (16.3% compared to 18.9%, a difference of 16.1%), and hearing disability (3.4% compared to 2.9%, a difference of 14.4%). Conversely, both communities are more comparable in terms of female disability (12.2% compared to 12.0%, a difference of 0.91%), disability age 18 to 34 (7.0% compared to 6.9%, a difference of 0.95%), and disability age 5 to 17 (5.8% compared to 5.8%, a difference of 1.1%).
Lithuanian vs Sudanese Disability
Disability MetricLithuanianSudanese
Disability
Poor
11.9%
Good
11.5%
Males
Tragic
11.6%
Good
11.0%
Females
Average
12.2%
Good
12.0%
Age | Under 5 years
Tragic
1.6%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
5.8%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.0%
Tragic
6.9%
Age | 35 to 64 years
Excellent
10.8%
Tragic
11.9%
Age | 65 to 74 years
Exceptional
21.4%
Fair
23.7%
Age | Over 75 years
Exceptional
45.1%
Fair
47.5%
Vision
Exceptional
2.0%
Excellent
2.1%
Hearing
Tragic
3.4%
Good
2.9%
Cognitive
Exceptional
16.3%
Tragic
18.9%
Ambulatory
Excellent
6.0%
Exceptional
5.7%
Self-Care
Exceptional
2.4%
Exceptional
2.2%