Indonesian vs Lithuanian Community Comparison

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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
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 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

Indonesians

Lithuanians

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

Lithuanian Integration in Indonesian Communities

The statistical analysis conducted on geographies consisting of 148,326,470 people shows a poor positive correlation between the proportion of Lithuanians within Indonesian communities in the United States with a correlation coefficient (R) of 0.161. On average, for every 1% (one percent) increase in Indonesians within a typical geography, there is an increase of 0.006% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indonesians corresponds to an increase of 6.0 Lithuanians.
Indonesian Integration in Lithuanian Communities

Indonesian vs Lithuanian Income

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

Indonesian vs Lithuanian Poverty

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

Indonesian vs Lithuanian Unemployment

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

Indonesian vs Lithuanian Labor Participation

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

Indonesian vs Lithuanian Family Structure

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

Indonesian vs Lithuanian Vehicle Availability

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

Indonesian vs Lithuanian Education Level

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

Indonesian vs Lithuanian Disability

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