Ghanaian vs Lithuanian Community Comparison

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Ghanaian
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 RussianGreekGuamanian/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

Ghanaians

Lithuanians

Fair
Excellent
2,403
SOCIAL INDEX
21.6/ 100
SOCIAL RATING
261st/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK

Lithuanian Integration in Ghanaian Communities

The statistical analysis conducted on geographies consisting of 171,361,778 people shows a weak positive correlation between the proportion of Lithuanians within Ghanaian communities in the United States with a correlation coefficient (R) of 0.272. On average, for every 1% (one percent) increase in Ghanaians within a typical geography, there is an increase of 0.045% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Ghanaians corresponds to an increase of 45.2 Lithuanians.
Ghanaian Integration in Lithuanian Communities

Ghanaian vs Lithuanian Income

When considering income, the most significant differences between Ghanaian and Lithuanian communities in the United States are seen in wage/income gap (22.3% compared to 28.7%, a difference of 28.7%), per capita income ($42,164 compared to $49,448, a difference of 17.3%), and householder income ages 25 - 44 years ($90,137 compared to $105,223, a difference of 16.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,594 compared to $53,552, a difference of 1.8%), median female earnings ($40,429 compared to $42,108, a difference of 4.2%), and householder income over 65 years ($60,043 compared to $65,209, a difference of 8.6%).
Ghanaian vs Lithuanian Income
Income MetricGhanaianLithuanian
Per Capita Income
Poor
$42,164
Exceptional
$49,448
Median Family Income
Poor
$98,877
Exceptional
$115,395
Median Household Income
Fair
$83,582
Exceptional
$93,852
Median Earnings
Average
$46,440
Exceptional
$50,991
Median Male Earnings
Poor
$52,810
Exceptional
$61,228
Median Female Earnings
Excellent
$40,429
Exceptional
$42,108
Householder Age | Under 25 years
Good
$52,594
Exceptional
$53,552
Householder Age | 25 - 44 years
Tragic
$90,137
Exceptional
$105,223
Householder Age | 45 - 64 years
Poor
$97,277
Exceptional
$112,484
Householder Age | Over 65 years
Fair
$60,043
Exceptional
$65,209
Wage/Income Gap
Exceptional
22.3%
Tragic
28.7%

Ghanaian vs Lithuanian Poverty

When considering poverty, the most significant differences between Ghanaian and Lithuanian communities in the United States are seen in married-couple family poverty (5.7% compared to 4.0%, a difference of 44.8%), receiving food stamps (14.0% compared to 9.7%, a difference of 44.3%), and family poverty (10.3% compared to 7.2%, a difference of 43.1%). Conversely, both communities are more comparable in terms of single male poverty (13.3% compared to 13.0%, a difference of 1.9%), single father poverty (16.7% compared to 17.3%, a difference of 3.7%), and single mother poverty (29.4% compared to 27.4%, a difference of 7.1%).
Ghanaian vs Lithuanian Poverty
Poverty MetricGhanaianLithuanian
Poverty
Tragic
13.9%
Exceptional
10.5%
Families
Tragic
10.3%
Exceptional
7.2%
Males
Tragic
12.7%
Exceptional
9.5%
Females
Tragic
14.7%
Exceptional
11.4%
Females 18 to 24 years
Tragic
20.8%
Exceptional
18.7%
Females 25 to 34 years
Tragic
14.4%
Exceptional
12.2%
Children Under 5 years
Tragic
19.2%
Exceptional
15.2%
Children Under 16 years
Tragic
18.6%
Exceptional
13.5%
Boys Under 16 years
Tragic
18.9%
Exceptional
14.0%
Girls Under 16 years
Tragic
18.5%
Exceptional
13.9%
Single Males
Tragic
13.3%
Fair
13.0%
Single Females
Poor
21.6%
Exceptional
19.2%
Single Fathers
Poor
16.7%
Tragic
17.3%
Single Mothers
Fair
29.4%
Exceptional
27.4%
Married Couples
Tragic
5.7%
Exceptional
4.0%
Seniors Over 65 years
Tragic
12.4%
Exceptional
9.1%
Seniors Over 75 years
Tragic
14.0%
Exceptional
10.6%
Receiving Food Stamps
Tragic
14.0%
Exceptional
9.7%

Ghanaian vs Lithuanian Unemployment

When considering unemployment, the most significant differences between Ghanaian and Lithuanian communities in the United States are seen in female unemployment (5.9% compared to 4.7%, a difference of 25.3%), unemployment (6.0% compared to 4.8%, a difference of 24.9%), and male unemployment (6.1% compared to 5.0%, a difference of 22.6%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.6% compared to 9.4%, a difference of 1.5%), unemployment among ages 65 to 74 years (5.6% compared to 5.4%, a difference of 2.9%), and unemployment among seniors over 65 years (5.4% compared to 5.1%, a difference of 4.3%).
Ghanaian vs Lithuanian Unemployment
Unemployment MetricGhanaianLithuanian
Unemployment
Tragic
6.0%
Exceptional
4.8%
Males
Tragic
6.1%
Exceptional
5.0%
Females
Tragic
5.9%
Exceptional
4.7%
Youth < 25
Tragic
13.3%
Exceptional
11.3%
Age | 16 to 19 years
Tragic
19.8%
Exceptional
16.7%
Age | 20 to 24 years
Tragic
11.7%
Good
10.2%
Age | 25 to 29 years
Tragic
7.2%
Good
6.5%
Age | 30 to 34 years
Tragic
6.0%
Good
5.4%
Age | 35 to 44 years
Tragic
5.3%
Exceptional
4.4%
Age | 45 to 54 years
Tragic
4.9%
Exceptional
4.3%
Age | 55 to 59 years
Tragic
5.3%
Excellent
4.7%
Age | 60 to 64 years
Tragic
5.0%
Excellent
4.8%
Age | 65 to 74 years
Tragic
5.6%
Fair
5.4%
Seniors > 65
Tragic
5.4%
Average
5.1%
Seniors > 75
Exceptional
8.4%
Tragic
9.9%
Women w/ Children < 6
Tragic
8.2%
Fair
7.8%
Women w/ Children 6 to 17
Tragic
9.6%
Tragic
9.4%
Women w/ Children < 18
Tragic
6.2%
Exceptional
5.0%

Ghanaian vs Lithuanian Labor Participation

When considering labor participation, the most significant differences between Ghanaian and Lithuanian communities in the United States are seen in in labor force | age 16-19 (35.3% compared to 40.4%, a difference of 14.4%), in labor force | age 20-24 (74.3% compared to 77.0%, a difference of 3.6%), and in labor force | age > 16 (67.1% compared to 64.8%, a difference of 3.5%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.6%, a difference of 0.18%), in labor force | age 20-64 (80.1% compared to 80.2%, a difference of 0.19%), and in labor force | age 35-44 (84.8% compared to 85.2%, a difference of 0.42%).
Ghanaian vs Lithuanian Labor Participation
Labor Participation MetricGhanaianLithuanian
In Labor Force | Age > 16
Exceptional
67.1%
Poor
64.8%
In Labor Force | Age 20-64
Exceptional
80.1%
Exceptional
80.2%
In Labor Force | Age 16-19
Tragic
35.3%
Exceptional
40.4%
In Labor Force | Age 20-24
Tragic
74.3%
Exceptional
77.0%
In Labor Force | Age 25-29
Average
84.7%
Exceptional
85.8%
In Labor Force | Age 30-34
Exceptional
85.4%
Exceptional
85.6%
In Labor Force | Age 35-44
Exceptional
84.8%
Exceptional
85.2%
In Labor Force | Age 45-54
Good
83.0%
Exceptional
83.6%

Ghanaian vs Lithuanian Family Structure

When considering family structure, the most significant differences between Ghanaian and Lithuanian communities in the United States are seen in single mother households (7.8% compared to 5.4%, a difference of 44.4%), births to unmarried women (34.3% compared to 29.6%, a difference of 15.9%), and married-couple households (42.2% compared to 48.9%, a difference of 15.7%). Conversely, both communities are more comparable in terms of family households (63.5% compared to 64.0%, a difference of 0.91%), divorced or separated (12.1% compared to 11.7%, a difference of 2.9%), and average family size (3.29 compared to 3.10, a difference of 5.9%).
Ghanaian vs Lithuanian Family Structure
Family Structure MetricGhanaianLithuanian
Family Households
Tragic
63.5%
Fair
64.0%
Family Households with Children
Exceptional
28.5%
Tragic
26.6%
Married-couple Households
Tragic
42.2%
Exceptional
48.9%
Average Family Size
Exceptional
3.29
Tragic
3.10
Single Father Households
Poor
2.4%
Exceptional
2.1%
Single Mother Households
Tragic
7.8%
Exceptional
5.4%
Currently Married
Tragic
42.9%
Exceptional
49.0%
Divorced or Separated
Average
12.1%
Exceptional
11.7%
Births to Unmarried Women
Tragic
34.3%
Exceptional
29.6%

Ghanaian vs Lithuanian Vehicle Availability

When considering vehicle availability, the most significant differences between Ghanaian and Lithuanian communities in the United States are seen in no vehicles in household (16.4% compared to 8.4%, a difference of 95.0%), 3 or more vehicles in household (16.4% compared to 20.1%, a difference of 23.0%), and 2 or more vehicles in household (48.0% compared to 58.2%, a difference of 21.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (83.6% compared to 91.7%, a difference of 9.7%), 4 or more vehicles in household (5.2% compared to 6.3%, a difference of 20.6%), and 2 or more vehicles in household (48.0% compared to 58.2%, a difference of 21.4%).
Ghanaian vs Lithuanian Vehicle Availability
Vehicle Availability MetricGhanaianLithuanian
No Vehicles Available
Tragic
16.4%
Exceptional
8.4%
1+ Vehicles Available
Tragic
83.6%
Exceptional
91.7%
2+ Vehicles Available
Tragic
48.0%
Exceptional
58.2%
3+ Vehicles Available
Tragic
16.4%
Excellent
20.1%
4+ Vehicles Available
Tragic
5.2%
Average
6.3%

Ghanaian vs Lithuanian Education Level

When considering education level, the most significant differences between Ghanaian and Lithuanian communities in the United States are seen in no schooling completed (2.6% compared to 1.4%, a difference of 78.0%), professional degree (4.3% compared to 5.4%, a difference of 26.6%), and doctorate degree (1.8% compared to 2.3%, a difference of 23.1%). Conversely, both communities are more comparable in terms of nursery school (97.5% compared to 98.6%, a difference of 1.2%), kindergarten (97.4% compared to 98.6%, a difference of 1.2%), and 1st grade (97.4% compared to 98.6%, a difference of 1.2%).
Ghanaian vs Lithuanian Education Level
Education Level MetricGhanaianLithuanian
No Schooling Completed
Tragic
2.6%
Exceptional
1.4%
Nursery School
Tragic
97.5%
Exceptional
98.6%
Kindergarten
Tragic
97.4%
Exceptional
98.6%
1st Grade
Tragic
97.4%
Exceptional
98.6%
2nd Grade
Tragic
97.4%
Exceptional
98.5%
3rd Grade
Tragic
97.2%
Exceptional
98.5%
4th Grade
Tragic
97.0%
Exceptional
98.3%
5th Grade
Tragic
96.7%
Exceptional
98.2%
6th Grade
Tragic
96.4%
Exceptional
98.1%
7th Grade
Tragic
95.3%
Exceptional
97.5%
8th Grade
Tragic
94.9%
Exceptional
97.3%
9th Grade
Tragic
93.9%
Exceptional
96.6%
10th Grade
Tragic
92.8%
Exceptional
95.8%
11th Grade
Tragic
91.5%
Exceptional
94.8%
12th Grade, No Diploma
Tragic
90.0%
Exceptional
93.6%
High School Diploma
Tragic
87.7%
Exceptional
92.0%
GED/Equivalency
Tragic
84.3%
Exceptional
88.9%
College, Under 1 year
Poor
63.9%
Exceptional
68.8%
College, 1 year or more
Fair
58.4%
Exceptional
62.9%
Associate's Degree
Fair
45.8%
Exceptional
50.6%
Bachelor's Degree
Average
38.0%
Exceptional
42.2%
Master's Degree
Good
15.5%
Exceptional
17.7%
Professional Degree
Fair
4.3%
Exceptional
5.4%
Doctorate Degree
Average
1.8%
Exceptional
2.3%

Ghanaian vs Lithuanian Disability

When considering disability, the most significant differences between Ghanaian and Lithuanian communities in the United States are seen in hearing disability (2.5% compared to 3.4%, a difference of 31.5%), disability age under 5 (1.2% compared to 1.6%, a difference of 29.3%), and disability age 65 to 74 (24.1% compared to 21.4%, a difference of 12.5%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.8%, a difference of 0.45%), female disability (12.1% compared to 12.2%, a difference of 0.76%), and ambulatory disability (6.0% compared to 6.0%, a difference of 0.81%).
Ghanaian vs Lithuanian Disability
Disability MetricGhanaianLithuanian
Disability
Excellent
11.5%
Poor
11.9%
Males
Exceptional
10.8%
Tragic
11.6%
Females
Good
12.1%
Average
12.2%
Age | Under 5 years
Good
1.2%
Tragic
1.6%
Age | 5 to 17 years
Tragic
5.8%
Tragic
5.8%
Age | 18 to 34 years
Average
6.6%
Tragic
7.0%
Age | 35 to 64 years
Poor
11.7%
Excellent
10.8%
Age | 65 to 74 years
Poor
24.1%
Exceptional
21.4%
Age | Over 75 years
Fair
47.5%
Exceptional
45.1%
Vision
Fair
2.2%
Exceptional
2.0%
Hearing
Exceptional
2.5%
Tragic
3.4%
Cognitive
Tragic
18.3%
Exceptional
16.3%
Ambulatory
Good
6.0%
Excellent
6.0%
Self-Care
Average
2.5%
Exceptional
2.4%