Lithuanian vs Indonesian Community Comparison

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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)InupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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
Indonesian
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

Indonesians

Excellent
Fair
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK
2,685
SOCIAL INDEX
24.4/ 100
SOCIAL RATING
247th/ 347
SOCIAL RANK

Indonesian Integration in Lithuanian Communities

The statistical analysis conducted on geographies consisting of 148,326,470 people shows a significant positive correlation between the proportion of Indonesians within Lithuanian communities in the United States with a correlation coefficient (R) of 0.626. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.234% in Indonesians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 233.6 Indonesians.
Lithuanian Integration in Indonesian Communities

Lithuanian vs Indonesian Income

When considering income, the most significant differences between Lithuanian and Indonesian communities in the United States are seen in per capita income ($49,448 compared to $37,300, a difference of 32.6%), householder income ages 45 - 64 years ($112,484 compared to $84,890, a difference of 32.5%), and householder income ages 25 - 44 years ($105,223 compared to $79,543, a difference of 32.3%). Conversely, both communities are more comparable in terms of median female earnings ($42,108 compared to $36,140, a difference of 16.5%), householder income under 25 years ($53,552 compared to $45,566, a difference of 17.5%), and householder income over 65 years ($65,209 compared to $54,176, a difference of 20.4%).
Lithuanian vs Indonesian Income
Income MetricLithuanianIndonesian
Per Capita Income
Exceptional
$49,448
Tragic
$37,300
Median Family Income
Exceptional
$115,395
Tragic
$88,301
Median Household Income
Exceptional
$93,852
Tragic
$72,856
Median Earnings
Exceptional
$50,991
Tragic
$41,701
Median Male Earnings
Exceptional
$61,228
Tragic
$47,503
Median Female Earnings
Exceptional
$42,108
Tragic
$36,140
Householder Age | Under 25 years
Exceptional
$53,552
Tragic
$45,566
Householder Age | 25 - 44 years
Exceptional
$105,223
Tragic
$79,543
Householder Age | 45 - 64 years
Exceptional
$112,484
Tragic
$84,890
Householder Age | Over 65 years
Exceptional
$65,209
Tragic
$54,176
Wage/Income Gap
Tragic
28.7%
Exceptional
22.7%

Lithuanian vs Indonesian Poverty

When considering poverty, the most significant differences between Lithuanian and Indonesian communities in the United States are seen in married-couple family poverty (4.0% compared to 6.3%, a difference of 59.9%), family poverty (7.2% compared to 11.3%, a difference of 57.6%), and child poverty under the age of 16 (13.5% compared to 21.0%, a difference of 54.9%). Conversely, both communities are more comparable in terms of single father poverty (17.3% compared to 17.4%, a difference of 0.73%), single male poverty (13.0% compared to 14.1%, a difference of 8.4%), and seniors poverty over the age of 75 (10.6% compared to 12.1%, a difference of 14.0%).
Lithuanian vs Indonesian Poverty
Poverty MetricLithuanianIndonesian
Poverty
Exceptional
10.5%
Tragic
15.1%
Families
Exceptional
7.2%
Tragic
11.3%
Males
Exceptional
9.5%
Tragic
13.8%
Females
Exceptional
11.4%
Tragic
16.4%
Females 18 to 24 years
Exceptional
18.7%
Tragic
22.5%
Females 25 to 34 years
Exceptional
12.2%
Tragic
16.4%
Children Under 5 years
Exceptional
15.2%
Tragic
22.3%
Children Under 16 years
Exceptional
13.5%
Tragic
21.0%
Boys Under 16 years
Exceptional
14.0%
Tragic
20.8%
Girls Under 16 years
Exceptional
13.9%
Tragic
21.3%
Single Males
Fair
13.0%
Tragic
14.1%
Single Females
Exceptional
19.2%
Tragic
24.3%
Single Fathers
Tragic
17.3%
Tragic
17.4%
Single Mothers
Exceptional
27.4%
Tragic
32.4%
Married Couples
Exceptional
4.0%
Tragic
6.3%
Seniors Over 65 years
Exceptional
9.1%
Poor
11.5%
Seniors Over 75 years
Exceptional
10.6%
Good
12.1%
Receiving Food Stamps
Exceptional
9.7%
Tragic
13.9%

Lithuanian vs Indonesian Unemployment

When considering unemployment, the most significant differences between Lithuanian and Indonesian 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 27.4%), unemployment among seniors over 75 years (9.9% compared to 7.9%, a difference of 24.9%), and unemployment among ages 65 to 74 years (5.4% compared to 4.7%, a difference of 15.1%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.8% compared to 7.7%, a difference of 0.77%), unemployment among ages 45 to 54 years (4.3% compared to 4.4%, a difference of 2.1%), and unemployment among ages 30 to 34 years (5.4% compared to 5.2%, a difference of 3.7%).
Lithuanian vs Indonesian Unemployment
Unemployment MetricLithuanianIndonesian
Unemployment
Exceptional
4.8%
Excellent
5.1%
Males
Exceptional
5.0%
Good
5.2%
Females
Exceptional
4.7%
Exceptional
5.0%
Youth < 25
Exceptional
11.3%
Exceptional
10.6%
Age | 16 to 19 years
Exceptional
16.7%
Exceptional
15.5%
Age | 20 to 24 years
Good
10.2%
Exceptional
9.0%
Age | 25 to 29 years
Good
6.5%
Exceptional
6.1%
Age | 30 to 34 years
Good
5.4%
Exceptional
5.2%
Age | 35 to 44 years
Exceptional
4.4%
Average
4.7%
Age | 45 to 54 years
Exceptional
4.3%
Exceptional
4.4%
Age | 55 to 59 years
Excellent
4.7%
Exceptional
4.3%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.2%
Age | 65 to 74 years
Fair
5.4%
Exceptional
4.7%
Seniors > 65
Average
5.1%
Exceptional
4.5%
Seniors > 75
Tragic
9.9%
Exceptional
7.9%
Women w/ Children < 6
Fair
7.8%
Average
7.7%
Women w/ Children 6 to 17
Tragic
9.4%
Exceptional
7.4%
Women w/ Children < 18
Exceptional
5.0%
Fair
5.5%

Lithuanian vs Indonesian Labor Participation

When considering labor participation, the most significant differences between Lithuanian and Indonesian communities in the United States are seen in in labor force | age 45-54 (83.6% compared to 81.5%, a difference of 2.6%), in labor force | age > 16 (64.8% compared to 66.3%, a difference of 2.3%), and in labor force | age 35-44 (85.2% compared to 83.7%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.0% compared to 77.2%, a difference of 0.34%), in labor force | age 16-19 (40.4% compared to 40.7%, a difference of 0.68%), and in labor force | age 20-64 (80.2% compared to 79.4%, a difference of 1.1%).
Lithuanian vs Indonesian Labor Participation
Labor Participation MetricLithuanianIndonesian
In Labor Force | Age > 16
Poor
64.8%
Exceptional
66.3%
In Labor Force | Age 20-64
Exceptional
80.2%
Fair
79.4%
In Labor Force | Age 16-19
Exceptional
40.4%
Exceptional
40.7%
In Labor Force | Age 20-24
Exceptional
77.0%
Exceptional
77.2%
In Labor Force | Age 25-29
Exceptional
85.8%
Average
84.7%
In Labor Force | Age 30-34
Exceptional
85.6%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
85.2%
Tragic
83.7%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
81.5%

Lithuanian vs Indonesian Family Structure

When considering family structure, the most significant differences between Lithuanian and Indonesian communities in the United States are seen in single mother households (5.4% compared to 7.5%, a difference of 37.7%), single father households (2.1% compared to 2.6%, a difference of 21.5%), and births to unmarried women (29.6% compared to 35.0%, a difference of 18.4%). Conversely, both communities are more comparable in terms of family households (64.0% compared to 61.5%, a difference of 4.2%), average family size (3.10 compared to 3.28, a difference of 5.6%), and family households with children (26.6% compared to 28.1%, a difference of 5.8%).
Lithuanian vs Indonesian Family Structure
Family Structure MetricLithuanianIndonesian
Family Households
Fair
64.0%
Tragic
61.5%
Family Households with Children
Tragic
26.6%
Exceptional
28.1%
Married-couple Households
Exceptional
48.9%
Tragic
42.0%
Average Family Size
Tragic
3.10
Exceptional
3.28
Single Father Households
Exceptional
2.1%
Tragic
2.6%
Single Mother Households
Exceptional
5.4%
Tragic
7.5%
Currently Married
Exceptional
49.0%
Tragic
43.5%
Divorced or Separated
Exceptional
11.7%
Tragic
12.6%
Births to Unmarried Women
Exceptional
29.6%
Tragic
35.0%

Lithuanian vs Indonesian Vehicle Availability

When considering vehicle availability, the most significant differences between Lithuanian and Indonesian communities in the United States are seen in no vehicles in household (8.4% compared to 10.3%, a difference of 22.2%), 3 or more vehicles in household (20.1% compared to 18.3%, a difference of 10.1%), and 2 or more vehicles in household (58.2% compared to 53.4%, a difference of 9.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 89.7%, a difference of 2.2%), 4 or more vehicles in household (6.3% compared to 6.0%, a difference of 6.2%), and 2 or more vehicles in household (58.2% compared to 53.4%, a difference of 9.1%).
Lithuanian vs Indonesian Vehicle Availability
Vehicle Availability MetricLithuanianIndonesian
No Vehicles Available
Exceptional
8.4%
Average
10.3%
1+ Vehicles Available
Exceptional
91.7%
Average
89.7%
2+ Vehicles Available
Exceptional
58.2%
Tragic
53.4%
3+ Vehicles Available
Excellent
20.1%
Tragic
18.3%
4+ Vehicles Available
Average
6.3%
Tragic
6.0%

Lithuanian vs Indonesian Education Level

When considering education level, the most significant differences between Lithuanian and Indonesian communities in the United States are seen in no schooling completed (1.4% compared to 3.2%, a difference of 123.4%), professional degree (5.4% compared to 3.7%, a difference of 46.6%), and doctorate degree (2.3% compared to 1.6%, a difference of 41.1%). Conversely, both communities are more comparable in terms of 2nd grade (98.5% compared to 96.7%, a difference of 1.9%), nursery school (98.6% compared to 96.8%, a difference of 1.9%), and kindergarten (98.6% compared to 96.8%, a difference of 1.9%).
Lithuanian vs Indonesian Education Level
Education Level MetricLithuanianIndonesian
No Schooling Completed
Exceptional
1.4%
Tragic
3.2%
Nursery School
Exceptional
98.6%
Tragic
96.8%
Kindergarten
Exceptional
98.6%
Tragic
96.8%
1st Grade
Exceptional
98.6%
Tragic
96.7%
2nd Grade
Exceptional
98.5%
Tragic
96.7%
3rd Grade
Exceptional
98.5%
Tragic
96.5%
4th Grade
Exceptional
98.3%
Tragic
96.2%
5th Grade
Exceptional
98.2%
Tragic
96.0%
6th Grade
Exceptional
98.1%
Tragic
95.6%
7th Grade
Exceptional
97.5%
Tragic
94.5%
8th Grade
Exceptional
97.3%
Tragic
94.1%
9th Grade
Exceptional
96.6%
Tragic
93.1%
10th Grade
Exceptional
95.8%
Tragic
91.8%
11th Grade
Exceptional
94.8%
Tragic
90.3%
12th Grade, No Diploma
Exceptional
93.6%
Tragic
88.6%
High School Diploma
Exceptional
92.0%
Tragic
86.5%
GED/Equivalency
Exceptional
88.9%
Tragic
82.5%
College, Under 1 year
Exceptional
68.8%
Tragic
61.2%
College, 1 year or more
Exceptional
62.9%
Tragic
55.1%
Associate's Degree
Exceptional
50.6%
Tragic
41.9%
Bachelor's Degree
Exceptional
42.2%
Tragic
33.5%
Master's Degree
Exceptional
17.7%
Tragic
12.6%
Professional Degree
Exceptional
5.4%
Tragic
3.7%
Doctorate Degree
Exceptional
2.3%
Tragic
1.6%

Lithuanian vs Indonesian Disability

When considering disability, the most significant differences between Lithuanian and Indonesian communities in the United States are seen in disability age under 5 (1.6% compared to 1.2%, a difference of 35.6%), disability age 35 to 64 (10.8% compared to 13.2%, a difference of 22.5%), and disability age 65 to 74 (21.4% compared to 24.9%, a difference of 16.3%). Conversely, both communities are more comparable in terms of male disability (11.6% compared to 11.6%, a difference of 0.16%), disability age 5 to 17 (5.8% compared to 5.9%, a difference of 1.5%), and disability (11.9% compared to 12.2%, a difference of 3.0%).
Lithuanian vs Indonesian Disability
Disability MetricLithuanianIndonesian
Disability
Poor
11.9%
Tragic
12.2%
Males
Tragic
11.6%
Tragic
11.6%
Females
Average
12.2%
Tragic
12.8%
Age | Under 5 years
Tragic
1.6%
Exceptional
1.2%
Age | 5 to 17 years
Tragic
5.8%
Tragic
5.9%
Age | 18 to 34 years
Tragic
7.0%
Tragic
7.2%
Age | 35 to 64 years
Excellent
10.8%
Tragic
13.2%
Age | 65 to 74 years
Exceptional
21.4%
Tragic
24.9%
Age | Over 75 years
Exceptional
45.1%
Tragic
48.2%
Vision
Exceptional
2.0%
Tragic
2.2%
Hearing
Tragic
3.4%
Average
3.0%
Cognitive
Exceptional
16.3%
Tragic
18.7%
Ambulatory
Excellent
6.0%
Tragic
6.3%
Self-Care
Exceptional
2.4%
Average
2.5%