Tongan vs Lithuanian Community Comparison

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Tongan
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'OdhamTrinidadian 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

Tongans

Lithuanians

Good
Excellent
7,132
SOCIAL INDEX
68.8/ 100
SOCIAL RATING
130th/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK

Lithuanian Integration in Tongan Communities

The statistical analysis conducted on geographies consisting of 93,193,930 people shows a mild positive correlation between the proportion of Lithuanians within Tongan communities in the United States with a correlation coefficient (R) of 0.389. On average, for every 1% (one percent) increase in Tongans within a typical geography, there is an increase of 0.007% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Tongans corresponds to an increase of 7.0 Lithuanians.
Tongan Integration in Lithuanian Communities

Tongan vs Lithuanian Income

When considering income, the most significant differences between Tongan and Lithuanian communities in the United States are seen in per capita income ($41,693 compared to $49,448, a difference of 18.6%), median male earnings ($53,218 compared to $61,228, a difference of 15.0%), and median earnings ($45,665 compared to $50,991, a difference of 11.7%). Conversely, both communities are more comparable in terms of median household income ($93,076 compared to $93,852, a difference of 0.83%), householder income ages 45 - 64 years ($108,643 compared to $112,484, a difference of 3.5%), and householder income over 65 years ($68,235 compared to $65,209, a difference of 4.6%).
Tongan vs Lithuanian Income
Income MetricTonganLithuanian
Per Capita Income
Tragic
$41,693
Exceptional
$49,448
Median Family Income
Excellent
$105,967
Exceptional
$115,395
Median Household Income
Exceptional
$93,076
Exceptional
$93,852
Median Earnings
Fair
$45,665
Exceptional
$50,991
Median Male Earnings
Fair
$53,218
Exceptional
$61,228
Median Female Earnings
Tragic
$38,288
Exceptional
$42,108
Householder Age | Under 25 years
Exceptional
$56,972
Exceptional
$53,552
Householder Age | 25 - 44 years
Exceptional
$99,604
Exceptional
$105,223
Householder Age | 45 - 64 years
Exceptional
$108,643
Exceptional
$112,484
Householder Age | Over 65 years
Exceptional
$68,235
Exceptional
$65,209
Wage/Income Gap
Tragic
27.5%
Tragic
28.7%

Tongan vs Lithuanian Poverty

When considering poverty, the most significant differences between Tongan and Lithuanian communities in the United States are seen in single father poverty (12.2% compared to 17.3%, a difference of 41.5%), single male poverty (10.5% compared to 13.0%, a difference of 24.5%), and married-couple family poverty (4.7% compared to 4.0%, a difference of 19.7%). Conversely, both communities are more comparable in terms of receiving food stamps (9.7% compared to 9.7%, a difference of 0.21%), seniors poverty over the age of 75 (10.5% compared to 10.6%, a difference of 0.96%), and child poverty under the age of 16 (13.4% compared to 13.5%, a difference of 0.97%).
Tongan vs Lithuanian Poverty
Poverty MetricTonganLithuanian
Poverty
Exceptional
10.8%
Exceptional
10.5%
Families
Exceptional
7.7%
Exceptional
7.2%
Males
Exceptional
9.7%
Exceptional
9.5%
Females
Exceptional
11.9%
Exceptional
11.4%
Females 18 to 24 years
Exceptional
17.1%
Exceptional
18.7%
Females 25 to 34 years
Exceptional
11.5%
Exceptional
12.2%
Children Under 5 years
Exceptional
14.2%
Exceptional
15.2%
Children Under 16 years
Exceptional
13.4%
Exceptional
13.5%
Boys Under 16 years
Exceptional
13.4%
Exceptional
14.0%
Girls Under 16 years
Exceptional
13.6%
Exceptional
13.9%
Single Males
Exceptional
10.5%
Fair
13.0%
Single Females
Exceptional
18.8%
Exceptional
19.2%
Single Fathers
Exceptional
12.2%
Tragic
17.3%
Single Mothers
Exceptional
26.5%
Exceptional
27.4%
Married Couples
Exceptional
4.7%
Exceptional
4.0%
Seniors Over 65 years
Exceptional
9.3%
Exceptional
9.1%
Seniors Over 75 years
Exceptional
10.5%
Exceptional
10.6%
Receiving Food Stamps
Exceptional
9.7%
Exceptional
9.7%

Tongan vs Lithuanian Unemployment

When considering unemployment, the most significant differences between Tongan and Lithuanian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (6.7% compared to 9.4%, a difference of 40.7%), unemployment among ages 25 to 29 years (5.5% compared to 6.5%, a difference of 18.8%), and unemployment among ages 65 to 74 years (4.7% compared to 5.4%, a difference of 13.8%). Conversely, both communities are more comparable in terms of unemployment (4.8% compared to 4.8%, a difference of 0.41%), female unemployment (4.8% compared to 4.7%, a difference of 2.0%), and unemployment among ages 60 to 64 years (4.6% compared to 4.8%, a difference of 2.9%).
Tongan vs Lithuanian Unemployment
Unemployment MetricTonganLithuanian
Unemployment
Exceptional
4.8%
Exceptional
4.8%
Males
Exceptional
4.8%
Exceptional
5.0%
Females
Exceptional
4.8%
Exceptional
4.7%
Youth < 25
Exceptional
10.9%
Exceptional
11.3%
Age | 16 to 19 years
Exceptional
15.9%
Exceptional
16.7%
Age | 20 to 24 years
Exceptional
9.4%
Good
10.2%
Age | 25 to 29 years
Exceptional
5.5%
Good
6.5%
Age | 30 to 34 years
Exceptional
4.8%
Good
5.4%
Age | 35 to 44 years
Exceptional
4.2%
Exceptional
4.4%
Age | 45 to 54 years
Exceptional
4.1%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.3%
Excellent
4.7%
Age | 60 to 64 years
Exceptional
4.6%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
4.7%
Fair
5.4%
Seniors > 65
Exceptional
4.7%
Average
5.1%
Seniors > 75
Tragic
10.4%
Tragic
9.9%
Women w/ Children < 6
Exceptional
6.9%
Fair
7.8%
Women w/ Children 6 to 17
Exceptional
6.7%
Tragic
9.4%
Women w/ Children < 18
Exceptional
4.7%
Exceptional
5.0%

Tongan vs Lithuanian Labor Participation

When considering labor participation, the most significant differences between Tongan and Lithuanian communities in the United States are seen in in labor force | age > 16 (67.5% compared to 64.8%, a difference of 4.2%), in labor force | age 30-34 (83.5% compared to 85.6%, a difference of 2.5%), and in labor force | age 35-44 (83.6% compared to 85.2%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.3% compared to 80.2%, a difference of 0.030%), in labor force | age 45-54 (83.1% compared to 83.6%, a difference of 0.58%), and in labor force | age 20-24 (77.9% compared to 77.0%, a difference of 1.2%).
Tongan vs Lithuanian Labor Participation
Labor Participation MetricTonganLithuanian
In Labor Force | Age > 16
Exceptional
67.5%
Poor
64.8%
In Labor Force | Age 20-64
Exceptional
80.3%
Exceptional
80.2%
In Labor Force | Age 16-19
Exceptional
41.2%
Exceptional
40.4%
In Labor Force | Age 20-24
Exceptional
77.9%
Exceptional
77.0%
In Labor Force | Age 25-29
Average
84.7%
Exceptional
85.8%
In Labor Force | Age 30-34
Tragic
83.5%
Exceptional
85.6%
In Labor Force | Age 35-44
Tragic
83.6%
Exceptional
85.2%
In Labor Force | Age 45-54
Excellent
83.1%
Exceptional
83.6%

Tongan vs Lithuanian Family Structure

When considering family structure, the most significant differences between Tongan and Lithuanian communities in the United States are seen in single father households (2.5% compared to 2.1%, a difference of 19.4%), family households with children (31.2% compared to 26.6%, a difference of 17.5%), and average family size (3.49 compared to 3.10, a difference of 12.5%). Conversely, both communities are more comparable in terms of currently married (48.3% compared to 49.0%, a difference of 1.4%), births to unmarried women (28.4% compared to 29.6%, a difference of 4.1%), and married-couple households (51.6% compared to 48.9%, a difference of 5.5%).
Tongan vs Lithuanian Family Structure
Family Structure MetricTonganLithuanian
Family Households
Exceptional
69.6%
Fair
64.0%
Family Households with Children
Exceptional
31.2%
Tragic
26.6%
Married-couple Households
Exceptional
51.6%
Exceptional
48.9%
Average Family Size
Exceptional
3.49
Tragic
3.10
Single Father Households
Tragic
2.5%
Exceptional
2.1%
Single Mother Households
Exceptional
5.8%
Exceptional
5.4%
Currently Married
Exceptional
48.3%
Exceptional
49.0%
Divorced or Separated
Exceptional
11.1%
Exceptional
11.7%
Births to Unmarried Women
Exceptional
28.4%
Exceptional
29.6%

Tongan vs Lithuanian Vehicle Availability

When considering vehicle availability, the most significant differences between Tongan and Lithuanian communities in the United States are seen in 4 or more vehicles in household (10.0% compared to 6.3%, a difference of 58.7%), 3 or more vehicles in household (26.5% compared to 20.1%, a difference of 31.9%), and no vehicles in household (7.2% compared to 8.4%, a difference of 17.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.9% compared to 91.7%, a difference of 1.3%), 2 or more vehicles in household (63.5% compared to 58.2%, a difference of 9.1%), and no vehicles in household (7.2% compared to 8.4%, a difference of 17.6%).
Tongan vs Lithuanian Vehicle Availability
Vehicle Availability MetricTonganLithuanian
No Vehicles Available
Exceptional
7.2%
Exceptional
8.4%
1+ Vehicles Available
Exceptional
92.9%
Exceptional
91.7%
2+ Vehicles Available
Exceptional
63.5%
Exceptional
58.2%
3+ Vehicles Available
Exceptional
26.5%
Excellent
20.1%
4+ Vehicles Available
Exceptional
10.0%
Average
6.3%

Tongan vs Lithuanian Education Level

When considering education level, the most significant differences between Tongan and Lithuanian communities in the United States are seen in no schooling completed (2.3% compared to 1.4%, a difference of 58.4%), professional degree (3.7% compared to 5.4%, a difference of 44.8%), and master's degree (12.5% compared to 17.7%, a difference of 42.1%). Conversely, both communities are more comparable in terms of nursery school (97.8% compared to 98.6%, a difference of 0.90%), kindergarten (97.7% compared to 98.6%, a difference of 0.90%), and 1st grade (97.7% compared to 98.6%, a difference of 0.91%).
Tongan vs Lithuanian Education Level
Education Level MetricTonganLithuanian
No Schooling Completed
Tragic
2.3%
Exceptional
1.4%
Nursery School
Tragic
97.8%
Exceptional
98.6%
Kindergarten
Tragic
97.7%
Exceptional
98.6%
1st Grade
Tragic
97.7%
Exceptional
98.6%
2nd Grade
Tragic
97.6%
Exceptional
98.5%
3rd Grade
Tragic
97.5%
Exceptional
98.5%
4th Grade
Tragic
97.3%
Exceptional
98.3%
5th Grade
Tragic
97.0%
Exceptional
98.2%
6th Grade
Tragic
96.7%
Exceptional
98.1%
7th Grade
Tragic
95.4%
Exceptional
97.5%
8th Grade
Tragic
95.1%
Exceptional
97.3%
9th Grade
Tragic
94.4%
Exceptional
96.6%
10th Grade
Tragic
93.3%
Exceptional
95.8%
11th Grade
Poor
92.2%
Exceptional
94.8%
12th Grade, No Diploma
Poor
90.7%
Exceptional
93.6%
High School Diploma
Tragic
88.4%
Exceptional
92.0%
GED/Equivalency
Fair
85.2%
Exceptional
88.9%
College, Under 1 year
Fair
64.5%
Exceptional
68.8%
College, 1 year or more
Poor
57.8%
Exceptional
62.9%
Associate's Degree
Tragic
43.0%
Exceptional
50.6%
Bachelor's Degree
Tragic
34.3%
Exceptional
42.2%
Master's Degree
Tragic
12.5%
Exceptional
17.7%
Professional Degree
Tragic
3.7%
Exceptional
5.4%
Doctorate Degree
Poor
1.7%
Exceptional
2.3%

Tongan vs Lithuanian Disability

When considering disability, the most significant differences between Tongan and Lithuanian communities in the United States are seen in disability age under 5 (1.3% compared to 1.6%, a difference of 17.6%), hearing disability (2.9% compared to 3.4%, a difference of 15.4%), and disability age 5 to 17 (5.0% compared to 5.8%, a difference of 14.7%). Conversely, both communities are more comparable in terms of vision disability (2.0% compared to 2.0%, a difference of 2.6%), disability age 35 to 64 (10.5% compared to 10.8%, a difference of 2.8%), and self-care disability (2.2% compared to 2.4%, a difference of 5.8%).
Tongan vs Lithuanian Disability
Disability MetricTonganLithuanian
Disability
Exceptional
10.8%
Poor
11.9%
Males
Exceptional
10.4%
Tragic
11.6%
Females
Exceptional
11.3%
Average
12.2%
Age | Under 5 years
Tragic
1.3%
Tragic
1.6%
Age | 5 to 17 years
Exceptional
5.0%
Tragic
5.8%
Age | 18 to 34 years
Excellent
6.4%
Tragic
7.0%
Age | 35 to 64 years
Exceptional
10.5%
Excellent
10.8%
Age | 65 to 74 years
Fair
23.8%
Exceptional
21.4%
Age | Over 75 years
Tragic
48.3%
Exceptional
45.1%
Vision
Exceptional
2.0%
Exceptional
2.0%
Hearing
Good
2.9%
Tragic
3.4%
Cognitive
Tragic
17.8%
Exceptional
16.3%
Ambulatory
Exceptional
5.4%
Excellent
6.0%
Self-Care
Exceptional
2.2%
Exceptional
2.4%