Ugandan vs Lithuanian Community Comparison

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Ugandan
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
AfghanAfricanAlaska 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 IslanderUkrainianUruguayanUteVenezuelanVietnameseWelshWest 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

Ugandans

Lithuanians

Average
Excellent
6,220
SOCIAL INDEX
59.7/ 100
SOCIAL RATING
159th/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK

Lithuanian Integration in Ugandan Communities

The statistical analysis conducted on geographies consisting of 89,202,677 people shows a significant positive correlation between the proportion of Lithuanians within Ugandan communities in the United States with a correlation coefficient (R) of 0.664. On average, for every 1% (one percent) increase in Ugandans within a typical geography, there is an increase of 0.175% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Ugandans corresponds to an increase of 174.7 Lithuanians.
Ugandan Integration in Lithuanian Communities

Ugandan vs Lithuanian Income

When considering income, the most significant differences between Ugandan and Lithuanian communities in the United States are seen in wage/income gap (24.1% compared to 28.7%, a difference of 19.5%), median male earnings ($55,290 compared to $61,228, a difference of 10.7%), and per capita income ($45,047 compared to $49,448, a difference of 9.8%). Conversely, both communities are more comparable in terms of median female earnings ($40,889 compared to $42,108, a difference of 3.0%), householder income under 25 years ($50,923 compared to $53,552, a difference of 5.2%), and median earnings ($47,854 compared to $50,991, a difference of 6.6%).
Ugandan vs Lithuanian Income
Income MetricUgandanLithuanian
Per Capita Income
Excellent
$45,047
Exceptional
$49,448
Median Family Income
Excellent
$106,541
Exceptional
$115,395
Median Household Income
Excellent
$87,557
Exceptional
$93,852
Median Earnings
Excellent
$47,854
Exceptional
$50,991
Median Male Earnings
Good
$55,290
Exceptional
$61,228
Median Female Earnings
Exceptional
$40,889
Exceptional
$42,108
Householder Age | Under 25 years
Tragic
$50,923
Exceptional
$53,552
Householder Age | 25 - 44 years
Good
$96,667
Exceptional
$105,223
Householder Age | 45 - 64 years
Excellent
$103,472
Exceptional
$112,484
Householder Age | Over 65 years
Average
$61,177
Exceptional
$65,209
Wage/Income Gap
Exceptional
24.1%
Tragic
28.7%

Ugandan vs Lithuanian Poverty

When considering poverty, the most significant differences between Ugandan and Lithuanian communities in the United States are seen in married-couple family poverty (5.3% compared to 4.0%, a difference of 34.8%), family poverty (9.3% compared to 7.2%, a difference of 29.1%), and male poverty (12.2% compared to 9.5%, a difference of 28.2%). Conversely, both communities are more comparable in terms of single mother poverty (28.8% compared to 27.4%, a difference of 5.3%), single male poverty (12.3% compared to 13.0%, a difference of 5.6%), and single father poverty (16.3% compared to 17.3%, a difference of 6.4%).
Ugandan vs Lithuanian Poverty
Poverty MetricUgandanLithuanian
Poverty
Tragic
13.1%
Exceptional
10.5%
Families
Fair
9.3%
Exceptional
7.2%
Males
Tragic
12.2%
Exceptional
9.5%
Females
Poor
14.0%
Exceptional
11.4%
Females 18 to 24 years
Tragic
22.1%
Exceptional
18.7%
Females 25 to 34 years
Good
13.4%
Exceptional
12.2%
Children Under 5 years
Poor
18.0%
Exceptional
15.2%
Children Under 16 years
Poor
17.1%
Exceptional
13.5%
Boys Under 16 years
Poor
17.3%
Exceptional
14.0%
Girls Under 16 years
Poor
17.2%
Exceptional
13.9%
Single Males
Exceptional
12.3%
Fair
13.0%
Single Females
Good
20.8%
Exceptional
19.2%
Single Fathers
Average
16.3%
Tragic
17.3%
Single Mothers
Good
28.8%
Exceptional
27.4%
Married Couples
Fair
5.3%
Exceptional
4.0%
Seniors Over 65 years
Poor
11.4%
Exceptional
9.1%
Seniors Over 75 years
Good
11.9%
Exceptional
10.6%
Receiving Food Stamps
Fair
12.2%
Exceptional
9.7%

Ugandan vs Lithuanian Unemployment

When considering unemployment, the most significant differences between Ugandan and Lithuanian communities in the United States are seen in unemployment among seniors over 75 years (7.7% compared to 9.9%, a difference of 28.2%), unemployment among women with children ages 6 to 17 years (12.0% compared to 9.4%, a difference of 27.5%), and unemployment among women with children under 18 years (5.9% compared to 5.0%, a difference of 16.5%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.8% compared to 16.7%, a difference of 0.42%), unemployment among ages 20 to 24 years (10.4% compared to 10.2%, a difference of 1.8%), and unemployment among women with children under 6 years (7.6% compared to 7.8%, a difference of 2.5%).
Ugandan vs Lithuanian Unemployment
Unemployment MetricUgandanLithuanian
Unemployment
Poor
5.4%
Exceptional
4.8%
Males
Tragic
5.5%
Exceptional
5.0%
Females
Fair
5.3%
Exceptional
4.7%
Youth < 25
Average
11.6%
Exceptional
11.3%
Age | 16 to 19 years
Exceptional
16.8%
Exceptional
16.7%
Age | 20 to 24 years
Fair
10.4%
Good
10.2%
Age | 25 to 29 years
Poor
6.8%
Good
6.5%
Age | 30 to 34 years
Exceptional
4.9%
Good
5.4%
Age | 35 to 44 years
Fair
4.8%
Exceptional
4.4%
Age | 45 to 54 years
Tragic
4.9%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.6%
Excellent
4.7%
Age | 60 to 64 years
Poor
4.9%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.1%
Fair
5.4%
Seniors > 65
Exceptional
4.8%
Average
5.1%
Seniors > 75
Exceptional
7.7%
Tragic
9.9%
Women w/ Children < 6
Good
7.6%
Fair
7.8%
Women w/ Children 6 to 17
Tragic
12.0%
Tragic
9.4%
Women w/ Children < 18
Tragic
5.9%
Exceptional
5.0%

Ugandan vs Lithuanian Labor Participation

When considering labor participation, the most significant differences between Ugandan and Lithuanian communities in the United States are seen in in labor force | age 16-19 (38.9% compared to 40.4%, a difference of 4.0%), in labor force | age > 16 (67.4% compared to 64.8%, a difference of 3.9%), and in labor force | age 20-24 (75.4% compared to 77.0%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.9% compared to 85.8%, a difference of 0.080%), in labor force | age 35-44 (85.3% compared to 85.2%, a difference of 0.10%), and in labor force | age 45-54 (83.7% compared to 83.6%, a difference of 0.13%).
Ugandan vs Lithuanian Labor Participation
Labor Participation MetricUgandanLithuanian
In Labor Force | Age > 16
Exceptional
67.4%
Poor
64.8%
In Labor Force | Age 20-64
Exceptional
80.6%
Exceptional
80.2%
In Labor Force | Age 16-19
Exceptional
38.9%
Exceptional
40.4%
In Labor Force | Age 20-24
Good
75.4%
Exceptional
77.0%
In Labor Force | Age 25-29
Exceptional
85.9%
Exceptional
85.8%
In Labor Force | Age 30-34
Exceptional
85.8%
Exceptional
85.6%
In Labor Force | Age 35-44
Exceptional
85.3%
Exceptional
85.2%
In Labor Force | Age 45-54
Exceptional
83.7%
Exceptional
83.6%

Ugandan vs Lithuanian Family Structure

When considering family structure, the most significant differences between Ugandan and Lithuanian communities in the United States are seen in single mother households (6.5% compared to 5.4%, a difference of 19.5%), married-couple households (43.8% compared to 48.9%, a difference of 11.5%), and currently married (44.2% compared to 49.0%, a difference of 10.8%). Conversely, both communities are more comparable in terms of divorced or separated (11.8% compared to 11.7%, a difference of 0.44%), births to unmarried women (30.1% compared to 29.6%, a difference of 1.8%), and family households with children (27.4% compared to 26.6%, a difference of 3.3%).
Ugandan vs Lithuanian Family Structure
Family Structure MetricUgandanLithuanian
Family Households
Tragic
61.7%
Fair
64.0%
Family Households with Children
Average
27.4%
Tragic
26.6%
Married-couple Households
Tragic
43.8%
Exceptional
48.9%
Average Family Size
Average
3.23
Tragic
3.10
Single Father Households
Good
2.3%
Exceptional
2.1%
Single Mother Households
Fair
6.5%
Exceptional
5.4%
Currently Married
Tragic
44.2%
Exceptional
49.0%
Divorced or Separated
Exceptional
11.8%
Exceptional
11.7%
Births to Unmarried Women
Excellent
30.1%
Exceptional
29.6%

Ugandan vs Lithuanian Vehicle Availability

When considering vehicle availability, the most significant differences between Ugandan and Lithuanian communities in the United States are seen in no vehicles in household (11.4% compared to 8.4%, a difference of 35.4%), 3 or more vehicles in household (17.8% compared to 20.1%, a difference of 13.1%), and 4 or more vehicles in household (5.7% compared to 6.3%, a difference of 10.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.9% compared to 91.7%, a difference of 3.2%), 2 or more vehicles in household (53.5% compared to 58.2%, a difference of 8.9%), and 4 or more vehicles in household (5.7% compared to 6.3%, a difference of 10.6%).
Ugandan vs Lithuanian Vehicle Availability
Vehicle Availability MetricUgandanLithuanian
No Vehicles Available
Tragic
11.4%
Exceptional
8.4%
1+ Vehicles Available
Tragic
88.9%
Exceptional
91.7%
2+ Vehicles Available
Tragic
53.5%
Exceptional
58.2%
3+ Vehicles Available
Tragic
17.8%
Excellent
20.1%
4+ Vehicles Available
Tragic
5.7%
Average
6.3%

Ugandan vs Lithuanian Education Level

When considering education level, the most significant differences between Ugandan and Lithuanian communities in the United States are seen in no schooling completed (2.0% compared to 1.4%, a difference of 42.6%), professional degree (5.1% compared to 5.4%, a difference of 5.2%), and associate's degree (48.7% compared to 50.6%, a difference of 3.9%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 98.6%, a difference of 0.64%), kindergarten (98.0% compared to 98.6%, a difference of 0.65%), and 1st grade (97.9% compared to 98.6%, a difference of 0.65%).
Ugandan vs Lithuanian Education Level
Education Level MetricUgandanLithuanian
No Schooling Completed
Good
2.0%
Exceptional
1.4%
Nursery School
Average
98.0%
Exceptional
98.6%
Kindergarten
Average
98.0%
Exceptional
98.6%
1st Grade
Average
97.9%
Exceptional
98.6%
2nd Grade
Average
97.9%
Exceptional
98.5%
3rd Grade
Average
97.8%
Exceptional
98.5%
4th Grade
Average
97.6%
Exceptional
98.3%
5th Grade
Average
97.4%
Exceptional
98.2%
6th Grade
Good
97.1%
Exceptional
98.1%
7th Grade
Good
96.2%
Exceptional
97.5%
8th Grade
Good
95.9%
Exceptional
97.3%
9th Grade
Good
95.1%
Exceptional
96.6%
10th Grade
Excellent
94.0%
Exceptional
95.8%
11th Grade
Excellent
92.9%
Exceptional
94.8%
12th Grade, No Diploma
Good
91.5%
Exceptional
93.6%
High School Diploma
Excellent
89.7%
Exceptional
92.0%
GED/Equivalency
Good
86.1%
Exceptional
88.9%
College, Under 1 year
Excellent
66.8%
Exceptional
68.8%
College, 1 year or more
Exceptional
61.2%
Exceptional
62.9%
Associate's Degree
Exceptional
48.7%
Exceptional
50.6%
Bachelor's Degree
Exceptional
40.8%
Exceptional
42.2%
Master's Degree
Exceptional
17.1%
Exceptional
17.7%
Professional Degree
Exceptional
5.1%
Exceptional
5.4%
Doctorate Degree
Exceptional
2.2%
Exceptional
2.3%

Ugandan vs Lithuanian Disability

When considering disability, the most significant differences between Ugandan and Lithuanian communities in the United States are seen in disability age under 5 (1.1% compared to 1.6%, a difference of 37.3%), hearing disability (2.9% compared to 3.4%, a difference of 16.8%), and cognitive disability (18.3% compared to 16.3%, a difference of 12.9%). Conversely, both communities are more comparable in terms of disability age 18 to 34 (6.9% compared to 7.0%, a difference of 0.13%), self-care disability (2.3% compared to 2.4%, a difference of 0.60%), and vision disability (2.1% compared to 2.0%, a difference of 2.1%).
Ugandan vs Lithuanian Disability
Disability MetricUgandanLithuanian
Disability
Excellent
11.4%
Poor
11.9%
Males
Excellent
11.0%
Tragic
11.6%
Females
Exceptional
11.9%
Average
12.2%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.6%
Age | 5 to 17 years
Tragic
6.2%
Tragic
5.8%
Age | 18 to 34 years
Tragic
6.9%
Tragic
7.0%
Age | 35 to 64 years
Average
11.3%
Excellent
10.8%
Age | 65 to 74 years
Excellent
22.7%
Exceptional
21.4%
Age | Over 75 years
Exceptional
46.3%
Exceptional
45.1%
Vision
Exceptional
2.1%
Exceptional
2.0%
Hearing
Excellent
2.9%
Tragic
3.4%
Cognitive
Tragic
18.3%
Exceptional
16.3%
Ambulatory
Exceptional
5.7%
Excellent
6.0%
Self-Care
Exceptional
2.3%
Exceptional
2.4%