Lithuanian vs Guyanese Community Comparison

COMPARE

Lithuanian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican 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 TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest 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
Guyanese
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

Guyanese

Excellent
Poor
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK
2,059
SOCIAL INDEX
18.1/ 100
SOCIAL RATING
273rd/ 347
SOCIAL RANK

Guyanese Integration in Lithuanian Communities

The statistical analysis conducted on geographies consisting of 159,509,024 people shows a poor positive correlation between the proportion of Guyanese within Lithuanian communities in the United States with a correlation coefficient (R) of 0.174. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.008% in Guyanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 8.1 Guyanese.
Lithuanian Integration in Guyanese Communities

Lithuanian vs Guyanese Income

When considering income, the most significant differences between Lithuanian and Guyanese communities in the United States are seen in wage/income gap (28.7% compared to 18.3%, a difference of 57.0%), householder income ages 45 - 64 years ($112,484 compared to $90,966, a difference of 23.7%), and median family income ($115,395 compared to $93,373, a difference of 23.6%). Conversely, both communities are more comparable in terms of median female earnings ($42,108 compared to $40,973, a difference of 2.8%), householder income under 25 years ($53,552 compared to $55,210, a difference of 3.1%), and median earnings ($50,991 compared to $45,470, a difference of 12.1%).
Lithuanian vs Guyanese Income
Income MetricLithuanianGuyanese
Per Capita Income
Exceptional
$49,448
Tragic
$40,949
Median Family Income
Exceptional
$115,395
Tragic
$93,373
Median Household Income
Exceptional
$93,852
Tragic
$80,734
Median Earnings
Exceptional
$50,991
Fair
$45,470
Median Male Earnings
Exceptional
$61,228
Tragic
$50,613
Median Female Earnings
Exceptional
$42,108
Exceptional
$40,973
Householder Age | Under 25 years
Exceptional
$53,552
Exceptional
$55,210
Householder Age | 25 - 44 years
Exceptional
$105,223
Tragic
$89,940
Householder Age | 45 - 64 years
Exceptional
$112,484
Tragic
$90,966
Householder Age | Over 65 years
Exceptional
$65,209
Tragic
$56,351
Wage/Income Gap
Tragic
28.7%
Exceptional
18.3%

Lithuanian vs Guyanese Poverty

When considering poverty, the most significant differences between Lithuanian and Guyanese communities in the United States are seen in receiving food stamps (9.7% compared to 16.7%, a difference of 72.9%), married-couple family poverty (4.0% compared to 6.5%, a difference of 63.8%), and seniors poverty over the age of 65 (9.1% compared to 14.4%, a difference of 59.1%). Conversely, both communities are more comparable in terms of single male poverty (13.0% compared to 12.8%, a difference of 1.8%), female poverty among 18-24 year olds (18.7% compared to 19.4%, a difference of 3.6%), and single father poverty (17.3% compared to 16.3%, a difference of 6.3%).
Lithuanian vs Guyanese Poverty
Poverty MetricLithuanianGuyanese
Poverty
Exceptional
10.5%
Tragic
14.5%
Families
Exceptional
7.2%
Tragic
11.2%
Males
Exceptional
9.5%
Tragic
13.3%
Females
Exceptional
11.4%
Tragic
15.6%
Females 18 to 24 years
Exceptional
18.7%
Exceptional
19.4%
Females 25 to 34 years
Exceptional
12.2%
Tragic
14.2%
Children Under 5 years
Exceptional
15.2%
Tragic
19.7%
Children Under 16 years
Exceptional
13.5%
Tragic
19.3%
Boys Under 16 years
Exceptional
14.0%
Tragic
19.6%
Girls Under 16 years
Exceptional
13.9%
Tragic
19.4%
Single Males
Fair
13.0%
Average
12.8%
Single Females
Exceptional
19.2%
Average
21.0%
Single Fathers
Tragic
17.3%
Average
16.3%
Single Mothers
Exceptional
27.4%
Poor
29.8%
Married Couples
Exceptional
4.0%
Tragic
6.5%
Seniors Over 65 years
Exceptional
9.1%
Tragic
14.4%
Seniors Over 75 years
Exceptional
10.6%
Tragic
16.1%
Receiving Food Stamps
Exceptional
9.7%
Tragic
16.7%

Lithuanian vs Guyanese Unemployment

When considering unemployment, the most significant differences between Lithuanian and Guyanese communities in the United States are seen in unemployment among ages 16 to 19 years (16.7% compared to 24.8%, a difference of 48.2%), unemployment (4.8% compared to 6.9%, a difference of 43.7%), and male unemployment (5.0% compared to 7.1%, a difference of 43.1%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.4% compared to 9.1%, a difference of 3.7%), unemployment among ages 65 to 74 years (5.4% compared to 5.6%, a difference of 4.7%), and unemployment among women with children under 6 years (7.8% compared to 8.2%, a difference of 6.2%).
Lithuanian vs Guyanese Unemployment
Unemployment MetricLithuanianGuyanese
Unemployment
Exceptional
4.8%
Tragic
6.9%
Males
Exceptional
5.0%
Tragic
7.1%
Females
Exceptional
4.7%
Tragic
6.7%
Youth < 25
Exceptional
11.3%
Tragic
15.9%
Age | 16 to 19 years
Exceptional
16.7%
Tragic
24.8%
Age | 20 to 24 years
Good
10.2%
Tragic
14.0%
Age | 25 to 29 years
Good
6.5%
Tragic
8.5%
Age | 30 to 34 years
Good
5.4%
Tragic
7.2%
Age | 35 to 44 years
Exceptional
4.4%
Tragic
5.9%
Age | 45 to 54 years
Exceptional
4.3%
Tragic
5.6%
Age | 55 to 59 years
Excellent
4.7%
Tragic
5.7%
Age | 60 to 64 years
Excellent
4.8%
Tragic
5.5%
Age | 65 to 74 years
Fair
5.4%
Tragic
5.6%
Seniors > 65
Average
5.1%
Tragic
5.6%
Seniors > 75
Tragic
9.9%
Exceptional
7.6%
Women w/ Children < 6
Fair
7.8%
Tragic
8.2%
Women w/ Children 6 to 17
Tragic
9.4%
Fair
9.1%
Women w/ Children < 18
Exceptional
5.0%
Tragic
6.6%

Lithuanian vs Guyanese Labor Participation

When considering labor participation, the most significant differences between Lithuanian and Guyanese communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 27.4%, a difference of 47.3%), in labor force | age 20-24 (77.0% compared to 69.2%, a difference of 11.2%), and in labor force | age 25-29 (85.8% compared to 83.0%, a difference of 3.3%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.8% compared to 64.1%, a difference of 1.1%), in labor force | age 35-44 (85.2% compared to 83.8%, a difference of 1.7%), and in labor force | age 30-34 (85.6% compared to 83.8%, a difference of 2.1%).
Lithuanian vs Guyanese Labor Participation
Labor Participation MetricLithuanianGuyanese
In Labor Force | Age > 16
Poor
64.8%
Tragic
64.1%
In Labor Force | Age 20-64
Exceptional
80.2%
Tragic
78.1%
In Labor Force | Age 16-19
Exceptional
40.4%
Tragic
27.4%
In Labor Force | Age 20-24
Exceptional
77.0%
Tragic
69.2%
In Labor Force | Age 25-29
Exceptional
85.8%
Tragic
83.0%
In Labor Force | Age 30-34
Exceptional
85.6%
Tragic
83.8%
In Labor Force | Age 35-44
Exceptional
85.2%
Tragic
83.8%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
81.5%

Lithuanian vs Guyanese Family Structure

When considering family structure, the most significant differences between Lithuanian and Guyanese communities in the United States are seen in single mother households (5.4% compared to 7.6%, a difference of 39.9%), births to unmarried women (29.6% compared to 35.2%, a difference of 19.0%), and married-couple households (48.9% compared to 41.4%, a difference of 18.2%). Conversely, both communities are more comparable in terms of family households with children (26.6% compared to 26.3%, a difference of 0.96%), single father households (2.1% compared to 2.1%, a difference of 1.3%), and divorced or separated (11.7% compared to 11.5%, a difference of 1.8%).
Lithuanian vs Guyanese Family Structure
Family Structure MetricLithuanianGuyanese
Family Households
Fair
64.0%
Exceptional
65.3%
Family Households with Children
Tragic
26.6%
Tragic
26.3%
Married-couple Households
Exceptional
48.9%
Tragic
41.4%
Average Family Size
Tragic
3.10
Exceptional
3.40
Single Father Households
Exceptional
2.1%
Exceptional
2.1%
Single Mother Households
Exceptional
5.4%
Tragic
7.6%
Currently Married
Exceptional
49.0%
Tragic
41.6%
Divorced or Separated
Exceptional
11.7%
Exceptional
11.5%
Births to Unmarried Women
Exceptional
29.6%
Tragic
35.2%

Lithuanian vs Guyanese Vehicle Availability

When considering vehicle availability, the most significant differences between Lithuanian and Guyanese communities in the United States are seen in no vehicles in household (8.4% compared to 29.3%, a difference of 247.4%), 4 or more vehicles in household (6.3% compared to 3.5%, a difference of 81.5%), and 3 or more vehicles in household (20.1% compared to 11.5%, a difference of 75.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 70.8%, a difference of 29.5%), 2 or more vehicles in household (58.2% compared to 35.4%, a difference of 64.6%), and 3 or more vehicles in household (20.1% compared to 11.5%, a difference of 75.7%).
Lithuanian vs Guyanese Vehicle Availability
Vehicle Availability MetricLithuanianGuyanese
No Vehicles Available
Exceptional
8.4%
Tragic
29.3%
1+ Vehicles Available
Exceptional
91.7%
Tragic
70.8%
2+ Vehicles Available
Exceptional
58.2%
Tragic
35.4%
3+ Vehicles Available
Excellent
20.1%
Tragic
11.5%
4+ Vehicles Available
Average
6.3%
Tragic
3.5%

Lithuanian vs Guyanese Education Level

When considering education level, the most significant differences between Lithuanian and Guyanese communities in the United States are seen in no schooling completed (1.4% compared to 3.0%, a difference of 111.3%), doctorate degree (2.3% compared to 1.4%, a difference of 63.6%), and professional degree (5.4% compared to 3.8%, a difference of 43.4%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.0%, a difference of 1.7%), kindergarten (98.6% compared to 96.9%, a difference of 1.7%), and 1st grade (98.6% compared to 96.9%, a difference of 1.7%).
Lithuanian vs Guyanese Education Level
Education Level MetricLithuanianGuyanese
No Schooling Completed
Exceptional
1.4%
Tragic
3.0%
Nursery School
Exceptional
98.6%
Tragic
97.0%
Kindergarten
Exceptional
98.6%
Tragic
96.9%
1st Grade
Exceptional
98.6%
Tragic
96.9%
2nd Grade
Exceptional
98.5%
Tragic
96.8%
3rd Grade
Exceptional
98.5%
Tragic
96.7%
4th Grade
Exceptional
98.3%
Tragic
96.4%
5th Grade
Exceptional
98.2%
Tragic
96.1%
6th Grade
Exceptional
98.1%
Tragic
95.6%
7th Grade
Exceptional
97.5%
Tragic
94.3%
8th Grade
Exceptional
97.3%
Tragic
93.9%
9th Grade
Exceptional
96.6%
Tragic
92.7%
10th Grade
Exceptional
95.8%
Tragic
91.4%
11th Grade
Exceptional
94.8%
Tragic
89.9%
12th Grade, No Diploma
Exceptional
93.6%
Tragic
88.3%
High School Diploma
Exceptional
92.0%
Tragic
85.5%
GED/Equivalency
Exceptional
88.9%
Tragic
81.3%
College, Under 1 year
Exceptional
68.8%
Tragic
59.0%
College, 1 year or more
Exceptional
62.9%
Tragic
54.1%
Associate's Degree
Exceptional
50.6%
Tragic
42.3%
Bachelor's Degree
Exceptional
42.2%
Tragic
34.5%
Master's Degree
Exceptional
17.7%
Tragic
13.7%
Professional Degree
Exceptional
5.4%
Tragic
3.8%
Doctorate Degree
Exceptional
2.3%
Tragic
1.4%

Lithuanian vs Guyanese Disability

When considering disability, the most significant differences between Lithuanian and Guyanese communities in the United States are seen in disability age under 5 (1.6% compared to 1.0%, a difference of 53.8%), hearing disability (3.4% compared to 2.3%, a difference of 46.6%), and disability age 18 to 34 (7.0% compared to 5.5%, a difference of 26.4%). Conversely, both communities are more comparable in terms of female disability (12.2% compared to 12.1%, a difference of 0.21%), disability age 35 to 64 (10.8% compared to 11.0%, a difference of 2.0%), and disability age over 75 (45.1% compared to 46.9%, a difference of 4.0%).
Lithuanian vs Guyanese Disability
Disability MetricLithuanianGuyanese
Disability
Poor
11.9%
Exceptional
11.3%
Males
Tragic
11.6%
Exceptional
10.5%
Females
Average
12.2%
Good
12.1%
Age | Under 5 years
Tragic
1.6%
Exceptional
1.0%
Age | 5 to 17 years
Tragic
5.8%
Exceptional
5.2%
Age | 18 to 34 years
Tragic
7.0%
Exceptional
5.5%
Age | 35 to 64 years
Excellent
10.8%
Good
11.0%
Age | 65 to 74 years
Exceptional
21.4%
Average
23.4%
Age | Over 75 years
Exceptional
45.1%
Excellent
46.9%
Vision
Exceptional
2.0%
Fair
2.2%
Hearing
Tragic
3.4%
Exceptional
2.3%
Cognitive
Exceptional
16.3%
Poor
17.5%
Ambulatory
Excellent
6.0%
Tragic
6.6%
Self-Care
Exceptional
2.4%
Tragic
2.7%