Filipino vs Lithuanian Community Comparison

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Filipino
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 EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFinnishFrenchFrench 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'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

Filipinos

Lithuanians

Exceptional
Excellent
9,951
SOCIAL INDEX
97.0/ 100
SOCIAL RATING
5th/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK

Lithuanian Integration in Filipino Communities

The statistical analysis conducted on geographies consisting of 231,010,284 people shows a slight positive correlation between the proportion of Lithuanians within Filipino communities in the United States with a correlation coefficient (R) of 0.067. On average, for every 1% (one percent) increase in Filipinos within a typical geography, there is an increase of 0.009% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Filipinos corresponds to an increase of 8.9 Lithuanians.
Filipino Integration in Lithuanian Communities

Filipino vs Lithuanian Income

When considering income, the most significant differences between Filipino and Lithuanian communities in the United States are seen in median household income ($115,509 compared to $93,852, a difference of 23.1%), householder income ages 25 - 44 years ($128,723 compared to $105,223, a difference of 22.3%), and median male earnings ($74,224 compared to $61,228, a difference of 21.2%). Conversely, both communities are more comparable in terms of wage/income gap (29.7% compared to 28.7%, a difference of 3.3%), householder income under 25 years ($57,740 compared to $53,552, a difference of 7.8%), and median female earnings ($49,508 compared to $42,108, a difference of 17.6%).
Filipino vs Lithuanian Income
Income MetricFilipinoLithuanian
Per Capita Income
Exceptional
$59,066
Exceptional
$49,448
Median Family Income
Exceptional
$138,397
Exceptional
$115,395
Median Household Income
Exceptional
$115,509
Exceptional
$93,852
Median Earnings
Exceptional
$61,197
Exceptional
$50,991
Median Male Earnings
Exceptional
$74,224
Exceptional
$61,228
Median Female Earnings
Exceptional
$49,508
Exceptional
$42,108
Householder Age | Under 25 years
Exceptional
$57,740
Exceptional
$53,552
Householder Age | 25 - 44 years
Exceptional
$128,723
Exceptional
$105,223
Householder Age | 45 - 64 years
Exceptional
$134,910
Exceptional
$112,484
Householder Age | Over 65 years
Exceptional
$76,686
Exceptional
$65,209
Wage/Income Gap
Tragic
29.7%
Tragic
28.7%

Filipino vs Lithuanian Poverty

When considering poverty, the most significant differences between Filipino and Lithuanian communities in the United States are seen in child poverty under the age of 5 (11.6% compared to 15.2%, a difference of 30.8%), receiving food stamps (7.4% compared to 9.7%, a difference of 30.7%), and child poverty among boys under 16 (11.1% compared to 14.0%, a difference of 25.5%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.0% compared to 18.7%, a difference of 1.6%), married-couple family poverty (4.0% compared to 4.0%, a difference of 2.0%), and poverty (10.1% compared to 10.5%, a difference of 3.5%).
Filipino vs Lithuanian Poverty
Poverty MetricFilipinoLithuanian
Poverty
Exceptional
10.1%
Exceptional
10.5%
Families
Exceptional
6.6%
Exceptional
7.2%
Males
Exceptional
9.2%
Exceptional
9.5%
Females
Exceptional
10.9%
Exceptional
11.4%
Females 18 to 24 years
Exceptional
19.0%
Exceptional
18.7%
Females 25 to 34 years
Exceptional
10.2%
Exceptional
12.2%
Children Under 5 years
Exceptional
11.6%
Exceptional
15.2%
Children Under 16 years
Exceptional
11.1%
Exceptional
13.5%
Boys Under 16 years
Exceptional
11.1%
Exceptional
14.0%
Girls Under 16 years
Exceptional
11.4%
Exceptional
13.9%
Single Males
Exceptional
10.6%
Fair
13.0%
Single Females
Exceptional
17.0%
Exceptional
19.2%
Single Fathers
Exceptional
14.0%
Tragic
17.3%
Single Mothers
Exceptional
24.3%
Exceptional
27.4%
Married Couples
Exceptional
4.0%
Exceptional
4.0%
Seniors Over 65 years
Exceptional
9.7%
Exceptional
9.1%
Seniors Over 75 years
Exceptional
11.4%
Exceptional
10.6%
Receiving Food Stamps
Exceptional
7.4%
Exceptional
9.7%

Filipino vs Lithuanian Unemployment

When considering unemployment, the most significant differences between Filipino and Lithuanian communities in the United States are seen in unemployment among women with children under 6 years (6.1% compared to 7.8%, a difference of 26.4%), unemployment among seniors over 75 years (7.9% compared to 9.9%, a difference of 25.4%), and unemployment among women with children ages 6 to 17 years (7.6% compared to 9.4%, a difference of 24.5%). Conversely, both communities are more comparable in terms of unemployment (4.8% compared to 4.8%, a difference of 0.52%), unemployment among ages 45 to 54 years (4.2% compared to 4.3%, a difference of 1.1%), and unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 1.1%).
Filipino vs Lithuanian Unemployment
Unemployment MetricFilipinoLithuanian
Unemployment
Exceptional
4.8%
Exceptional
4.8%
Males
Exceptional
4.7%
Exceptional
5.0%
Females
Exceptional
5.0%
Exceptional
4.7%
Youth < 25
Exceptional
11.1%
Exceptional
11.3%
Age | 16 to 19 years
Exceptional
15.9%
Exceptional
16.7%
Age | 20 to 24 years
Exceptional
10.1%
Good
10.2%
Age | 25 to 29 years
Exceptional
6.1%
Good
6.5%
Age | 30 to 34 years
Exceptional
4.8%
Good
5.4%
Age | 35 to 44 years
Exceptional
4.0%
Exceptional
4.4%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.6%
Excellent
4.7%
Age | 60 to 64 years
Good
4.8%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.2%
Fair
5.4%
Seniors > 65
Exceptional
5.0%
Average
5.1%
Seniors > 75
Exceptional
7.9%
Tragic
9.9%
Women w/ Children < 6
Exceptional
6.1%
Fair
7.8%
Women w/ Children 6 to 17
Exceptional
7.6%
Tragic
9.4%
Women w/ Children < 18
Exceptional
4.8%
Exceptional
5.0%

Filipino vs Lithuanian Labor Participation

When considering labor participation, the most significant differences between Filipino and Lithuanian communities in the United States are seen in in labor force | age 16-19 (31.7% compared to 40.4%, a difference of 27.6%), in labor force | age 20-24 (71.4% compared to 77.0%, a difference of 7.8%), and in labor force | age > 16 (65.9% compared to 64.8%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.5% compared to 85.6%, a difference of 0.080%), in labor force | age 45-54 (83.5% compared to 83.6%, a difference of 0.13%), and in labor force | age 20-64 (80.1% compared to 80.2%, a difference of 0.25%).
Filipino vs Lithuanian Labor Participation
Labor Participation MetricFilipinoLithuanian
In Labor Force | Age > 16
Exceptional
65.9%
Poor
64.8%
In Labor Force | Age 20-64
Exceptional
80.1%
Exceptional
80.2%
In Labor Force | Age 16-19
Tragic
31.7%
Exceptional
40.4%
In Labor Force | Age 20-24
Tragic
71.4%
Exceptional
77.0%
In Labor Force | Age 25-29
Excellent
84.9%
Exceptional
85.8%
In Labor Force | Age 30-34
Exceptional
85.5%
Exceptional
85.6%
In Labor Force | Age 35-44
Exceptional
84.7%
Exceptional
85.2%
In Labor Force | Age 45-54
Exceptional
83.5%
Exceptional
83.6%

Filipino vs Lithuanian Family Structure

When considering family structure, the most significant differences between Filipino and Lithuanian communities in the United States are seen in births to unmarried women (23.0% compared to 29.6%, a difference of 28.6%), divorced or separated (9.9% compared to 11.7%, a difference of 18.4%), and single father households (1.8% compared to 2.1%, a difference of 17.1%). Conversely, both communities are more comparable in terms of currently married (49.7% compared to 49.0%, a difference of 1.5%), family households (65.9% compared to 64.0%, a difference of 2.9%), and average family size (3.20 compared to 3.10, a difference of 3.1%).
Filipino vs Lithuanian Family Structure
Family Structure MetricFilipinoLithuanian
Family Households
Exceptional
65.9%
Fair
64.0%
Family Households with Children
Exceptional
28.6%
Tragic
26.6%
Married-couple Households
Exceptional
51.0%
Exceptional
48.9%
Average Family Size
Poor
3.20
Tragic
3.10
Single Father Households
Exceptional
1.8%
Exceptional
2.1%
Single Mother Households
Exceptional
4.7%
Exceptional
5.4%
Currently Married
Exceptional
49.7%
Exceptional
49.0%
Divorced or Separated
Exceptional
9.9%
Exceptional
11.7%
Births to Unmarried Women
Exceptional
23.0%
Exceptional
29.6%

Filipino vs Lithuanian Vehicle Availability

When considering vehicle availability, the most significant differences between Filipino and Lithuanian communities in the United States are seen in no vehicles in household (10.4% compared to 8.4%, a difference of 23.4%), 4 or more vehicles in household (6.9% compared to 6.3%, a difference of 9.3%), and 3 or more vehicles in household (20.8% compared to 20.1%, a difference of 3.3%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.8% compared to 58.2%, a difference of 0.70%), 1 or more vehicles in household (89.7% compared to 91.7%, a difference of 2.2%), and 3 or more vehicles in household (20.8% compared to 20.1%, a difference of 3.3%).
Filipino vs Lithuanian Vehicle Availability
Vehicle Availability MetricFilipinoLithuanian
No Vehicles Available
Average
10.4%
Exceptional
8.4%
1+ Vehicles Available
Average
89.7%
Exceptional
91.7%
2+ Vehicles Available
Exceptional
57.8%
Exceptional
58.2%
3+ Vehicles Available
Exceptional
20.8%
Excellent
20.1%
4+ Vehicles Available
Exceptional
6.9%
Average
6.3%

Filipino vs Lithuanian Education Level

When considering education level, the most significant differences between Filipino and Lithuanian communities in the United States are seen in doctorate degree (3.4% compared to 2.3%, a difference of 52.1%), professional degree (7.6% compared to 5.4%, a difference of 40.5%), and no schooling completed (2.0% compared to 1.4%, a difference of 36.8%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (93.2% compared to 93.6%, a difference of 0.45%), high school diploma (91.6% compared to 92.0%, a difference of 0.51%), and nursery school (98.1% compared to 98.6%, a difference of 0.56%).
Filipino vs Lithuanian Education Level
Education Level MetricFilipinoLithuanian
No Schooling Completed
Excellent
2.0%
Exceptional
1.4%
Nursery School
Good
98.1%
Exceptional
98.6%
Kindergarten
Good
98.0%
Exceptional
98.6%
1st Grade
Good
98.0%
Exceptional
98.6%
2nd Grade
Good
98.0%
Exceptional
98.5%
3rd Grade
Good
97.9%
Exceptional
98.5%
4th Grade
Excellent
97.7%
Exceptional
98.3%
5th Grade
Excellent
97.5%
Exceptional
98.2%
6th Grade
Excellent
97.3%
Exceptional
98.1%
7th Grade
Exceptional
96.4%
Exceptional
97.5%
8th Grade
Exceptional
96.2%
Exceptional
97.3%
9th Grade
Exceptional
95.6%
Exceptional
96.6%
10th Grade
Exceptional
94.8%
Exceptional
95.8%
11th Grade
Exceptional
94.1%
Exceptional
94.8%
12th Grade, No Diploma
Exceptional
93.2%
Exceptional
93.6%
High School Diploma
Exceptional
91.6%
Exceptional
92.0%
GED/Equivalency
Exceptional
89.5%
Exceptional
88.9%
College, Under 1 year
Exceptional
75.5%
Exceptional
68.8%
College, 1 year or more
Exceptional
71.0%
Exceptional
62.9%
Associate's Degree
Exceptional
59.8%
Exceptional
50.6%
Bachelor's Degree
Exceptional
52.7%
Exceptional
42.2%
Master's Degree
Exceptional
23.4%
Exceptional
17.7%
Professional Degree
Exceptional
7.6%
Exceptional
5.4%
Doctorate Degree
Exceptional
3.4%
Exceptional
2.3%

Filipino vs Lithuanian Disability

When considering disability, the most significant differences between Filipino and Lithuanian communities in the United States are seen in disability age under 5 (1.1% compared to 1.6%, a difference of 48.3%), disability age 35 to 64 (8.0% compared to 10.8%, a difference of 34.2%), and disability age 5 to 17 (4.3% compared to 5.8%, a difference of 33.3%). Conversely, both communities are more comparable in terms of disability age over 75 (45.4% compared to 45.1%, a difference of 0.77%), cognitive disability (16.4% compared to 16.3%, a difference of 0.84%), and self-care disability (2.2% compared to 2.4%, a difference of 9.1%).
Filipino vs Lithuanian Disability
Disability MetricFilipinoLithuanian
Disability
Exceptional
9.6%
Poor
11.9%
Males
Exceptional
9.1%
Tragic
11.6%
Females
Exceptional
10.1%
Average
12.2%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.6%
Age | 5 to 17 years
Exceptional
4.3%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
5.4%
Tragic
7.0%
Age | 35 to 64 years
Exceptional
8.0%
Excellent
10.8%
Age | 65 to 74 years
Exceptional
19.0%
Exceptional
21.4%
Age | Over 75 years
Exceptional
45.4%
Exceptional
45.1%
Vision
Exceptional
1.7%
Exceptional
2.0%
Hearing
Exceptional
2.6%
Tragic
3.4%
Cognitive
Exceptional
16.4%
Exceptional
16.3%
Ambulatory
Exceptional
4.9%
Excellent
6.0%
Self-Care
Exceptional
2.2%
Exceptional
2.4%