Polish vs Lithuanian Community Comparison

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Polish
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 GermanPeruvianPimaPortuguesePotawatomiPuebloPuerto 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

Poles

Lithuanians

Excellent
Excellent
8,413
SOCIAL INDEX
81.6/ 100
SOCIAL RATING
72nd/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK

Lithuanian Integration in Polish Communities

The statistical analysis conducted on geographies consisting of 420,737,105 people shows a mild positive correlation between the proportion of Lithuanians within Polish communities in the United States with a correlation coefficient (R) of 0.328. On average, for every 1% (one percent) increase in Poles within a typical geography, there is an increase of 0.047% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Poles corresponds to an increase of 46.9 Lithuanians.
Polish Integration in Lithuanian Communities

Polish vs Lithuanian Income

When considering income, the most significant differences between Polish and Lithuanian communities in the United States are seen in per capita income ($46,123 compared to $49,448, a difference of 7.2%), median family income ($108,507 compared to $115,395, a difference of 6.4%), and householder income ages 45 - 64 years ($105,952 compared to $112,484, a difference of 6.2%). Conversely, both communities are more comparable in terms of wage/income gap (28.5% compared to 28.7%, a difference of 0.71%), householder income under 25 years ($52,407 compared to $53,552, a difference of 2.2%), and median female earnings ($40,371 compared to $42,108, a difference of 4.3%).
Polish vs Lithuanian Income
Income MetricPolishLithuanian
Per Capita Income
Exceptional
$46,123
Exceptional
$49,448
Median Family Income
Exceptional
$108,507
Exceptional
$115,395
Median Household Income
Excellent
$88,472
Exceptional
$93,852
Median Earnings
Exceptional
$48,659
Exceptional
$50,991
Median Male Earnings
Exceptional
$58,139
Exceptional
$61,228
Median Female Earnings
Excellent
$40,371
Exceptional
$42,108
Householder Age | Under 25 years
Good
$52,407
Exceptional
$53,552
Householder Age | 25 - 44 years
Exceptional
$99,685
Exceptional
$105,223
Householder Age | 45 - 64 years
Exceptional
$105,952
Exceptional
$112,484
Householder Age | Over 65 years
Good
$61,598
Exceptional
$65,209
Wage/Income Gap
Tragic
28.5%
Tragic
28.7%

Polish vs Lithuanian Poverty

When considering poverty, the most significant differences between Polish and Lithuanian communities in the United States are seen in single female poverty (20.0% compared to 19.2%, a difference of 4.2%), female poverty among 25-34 year olds (12.7% compared to 12.2%, a difference of 4.0%), and child poverty among girls under 16 (14.4% compared to 13.9%, a difference of 3.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (10.6% compared to 10.6%, a difference of 0.070%), single father poverty (17.3% compared to 17.3%, a difference of 0.21%), and single male poverty (13.0% compared to 13.0%, a difference of 0.22%).
Polish vs Lithuanian Poverty
Poverty MetricPolishLithuanian
Poverty
Exceptional
10.7%
Exceptional
10.5%
Families
Exceptional
7.4%
Exceptional
7.2%
Males
Exceptional
9.7%
Exceptional
9.5%
Females
Exceptional
11.7%
Exceptional
11.4%
Females 18 to 24 years
Exceptional
18.8%
Exceptional
18.7%
Females 25 to 34 years
Exceptional
12.7%
Exceptional
12.2%
Children Under 5 years
Exceptional
15.7%
Exceptional
15.2%
Children Under 16 years
Exceptional
14.0%
Exceptional
13.5%
Boys Under 16 years
Exceptional
14.4%
Exceptional
14.0%
Girls Under 16 years
Exceptional
14.4%
Exceptional
13.9%
Single Males
Poor
13.0%
Fair
13.0%
Single Females
Exceptional
20.0%
Exceptional
19.2%
Single Fathers
Tragic
17.3%
Tragic
17.3%
Single Mothers
Exceptional
28.4%
Exceptional
27.4%
Married Couples
Exceptional
4.0%
Exceptional
4.0%
Seniors Over 65 years
Exceptional
9.1%
Exceptional
9.1%
Seniors Over 75 years
Exceptional
10.6%
Exceptional
10.6%
Receiving Food Stamps
Exceptional
10.0%
Exceptional
9.7%

Polish vs Lithuanian Unemployment

When considering unemployment, the most significant differences between Polish and Lithuanian communities in the United States are seen in unemployment among seniors over 75 years (10.3% compared to 9.9%, a difference of 4.3%), unemployment among ages 20 to 24 years (10.0% compared to 10.2%, a difference of 2.5%), and unemployment among ages 16 to 19 years (16.4% compared to 16.7%, a difference of 2.4%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.040%), unemployment among ages 25 to 29 years (6.5% compared to 6.5%, a difference of 0.36%), and male unemployment (4.9% compared to 5.0%, a difference of 0.47%).
Polish vs Lithuanian Unemployment
Unemployment MetricPolishLithuanian
Unemployment
Exceptional
4.7%
Exceptional
4.8%
Males
Exceptional
4.9%
Exceptional
5.0%
Females
Exceptional
4.7%
Exceptional
4.7%
Youth < 25
Exceptional
11.0%
Exceptional
11.3%
Age | 16 to 19 years
Exceptional
16.4%
Exceptional
16.7%
Age | 20 to 24 years
Exceptional
10.0%
Good
10.2%
Age | 25 to 29 years
Good
6.5%
Good
6.5%
Age | 30 to 34 years
Good
5.3%
Good
5.4%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.4%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.7%
Excellent
4.7%
Age | 60 to 64 years
Exceptional
4.7%
Excellent
4.8%
Age | 65 to 74 years
Good
5.3%
Fair
5.4%
Seniors > 65
Excellent
5.1%
Average
5.1%
Seniors > 75
Tragic
10.3%
Tragic
9.9%
Women w/ Children < 6
Poor
7.9%
Fair
7.8%
Women w/ Children 6 to 17
Tragic
9.4%
Tragic
9.4%
Women w/ Children < 18
Exceptional
5.0%
Exceptional
5.0%

Polish vs Lithuanian Labor Participation

When considering labor participation, the most significant differences between Polish and Lithuanian communities in the United States are seen in in labor force | age 16-19 (42.1% compared to 40.4%, a difference of 4.2%), in labor force | age 20-24 (77.6% compared to 77.0%, a difference of 0.85%), and in labor force | age > 16 (64.7% compared to 64.8%, a difference of 0.24%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.2% compared to 85.2%, a difference of 0.0%), in labor force | age 25-29 (85.8% compared to 85.8%, a difference of 0.040%), and in labor force | age 45-54 (83.6% compared to 83.6%, a difference of 0.060%).
Polish vs Lithuanian Labor Participation
Labor Participation MetricPolishLithuanian
In Labor Force | Age > 16
Tragic
64.7%
Poor
64.8%
In Labor Force | Age 20-64
Exceptional
80.1%
Exceptional
80.2%
In Labor Force | Age 16-19
Exceptional
42.1%
Exceptional
40.4%
In Labor Force | Age 20-24
Exceptional
77.6%
Exceptional
77.0%
In Labor Force | Age 25-29
Exceptional
85.8%
Exceptional
85.8%
In Labor Force | Age 30-34
Exceptional
85.5%
Exceptional
85.6%
In Labor Force | Age 35-44
Exceptional
85.2%
Exceptional
85.2%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
83.6%

Polish vs Lithuanian Family Structure

When considering family structure, the most significant differences between Polish and Lithuanian communities in the United States are seen in births to unmarried women (30.8% compared to 29.6%, a difference of 4.2%), single father households (2.2% compared to 2.1%, a difference of 4.0%), and single mother households (5.6% compared to 5.4%, a difference of 2.5%). Conversely, both communities are more comparable in terms of family households (64.0% compared to 64.0%, a difference of 0.10%), currently married (48.9% compared to 49.0%, a difference of 0.23%), and average family size (3.09 compared to 3.10, a difference of 0.35%).
Polish vs Lithuanian Family Structure
Family Structure MetricPolishLithuanian
Family Households
Poor
64.0%
Fair
64.0%
Family Households with Children
Tragic
26.5%
Tragic
26.6%
Married-couple Households
Exceptional
48.5%
Exceptional
48.9%
Average Family Size
Tragic
3.09
Tragic
3.10
Single Father Households
Exceptional
2.2%
Exceptional
2.1%
Single Mother Households
Exceptional
5.6%
Exceptional
5.4%
Currently Married
Exceptional
48.9%
Exceptional
49.0%
Divorced or Separated
Good
11.9%
Exceptional
11.7%
Births to Unmarried Women
Good
30.8%
Exceptional
29.6%

Polish vs Lithuanian Vehicle Availability

When considering vehicle availability, the most significant differences between Polish and Lithuanian communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 6.3%, a difference of 0.70%), 3 or more vehicles in household (20.2% compared to 20.1%, a difference of 0.44%), and 2 or more vehicles in household (58.3% compared to 58.2%, a difference of 0.10%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 91.7%, a difference of 0.020%), no vehicles in household (8.4% compared to 8.4%, a difference of 0.030%), and 2 or more vehicles in household (58.3% compared to 58.2%, a difference of 0.10%).
Polish vs Lithuanian Vehicle Availability
Vehicle Availability MetricPolishLithuanian
No Vehicles Available
Exceptional
8.4%
Exceptional
8.4%
1+ Vehicles Available
Exceptional
91.7%
Exceptional
91.7%
2+ Vehicles Available
Exceptional
58.3%
Exceptional
58.2%
3+ Vehicles Available
Excellent
20.2%
Excellent
20.1%
4+ Vehicles Available
Average
6.4%
Average
6.3%

Polish vs Lithuanian Education Level

When considering education level, the most significant differences between Polish and Lithuanian communities in the United States are seen in doctorate degree (1.9% compared to 2.3%, a difference of 18.5%), professional degree (4.6% compared to 5.4%, a difference of 17.9%), and master's degree (15.7% compared to 17.7%, a difference of 12.7%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.6%, a difference of 0.0%), kindergarten (98.6% compared to 98.6%, a difference of 0.0%), and 1st grade (98.6% compared to 98.6%, a difference of 0.0%).
Polish vs Lithuanian Education Level
Education Level MetricPolishLithuanian
No Schooling Completed
Exceptional
1.4%
Exceptional
1.4%
Nursery School
Exceptional
98.6%
Exceptional
98.6%
Kindergarten
Exceptional
98.6%
Exceptional
98.6%
1st Grade
Exceptional
98.6%
Exceptional
98.6%
2nd Grade
Exceptional
98.5%
Exceptional
98.5%
3rd Grade
Exceptional
98.5%
Exceptional
98.5%
4th Grade
Exceptional
98.4%
Exceptional
98.3%
5th Grade
Exceptional
98.3%
Exceptional
98.2%
6th Grade
Exceptional
98.1%
Exceptional
98.1%
7th Grade
Exceptional
97.6%
Exceptional
97.5%
8th Grade
Exceptional
97.4%
Exceptional
97.3%
9th Grade
Exceptional
96.7%
Exceptional
96.6%
10th Grade
Exceptional
95.8%
Exceptional
95.8%
11th Grade
Exceptional
94.8%
Exceptional
94.8%
12th Grade, No Diploma
Exceptional
93.5%
Exceptional
93.6%
High School Diploma
Exceptional
91.9%
Exceptional
92.0%
GED/Equivalency
Exceptional
88.5%
Exceptional
88.9%
College, Under 1 year
Excellent
66.9%
Exceptional
68.8%
College, 1 year or more
Excellent
60.7%
Exceptional
62.9%
Associate's Degree
Excellent
48.0%
Exceptional
50.6%
Bachelor's Degree
Good
39.1%
Exceptional
42.2%
Master's Degree
Excellent
15.7%
Exceptional
17.7%
Professional Degree
Good
4.6%
Exceptional
5.4%
Doctorate Degree
Good
1.9%
Exceptional
2.3%

Polish vs Lithuanian Disability

When considering disability, the most significant differences between Polish and Lithuanian communities in the United States are seen in disability age 35 to 64 (11.3% compared to 10.8%, a difference of 5.0%), ambulatory disability (6.2% compared to 6.0%, a difference of 3.4%), and disability age 18 to 34 (7.2% compared to 7.0%, a difference of 3.3%). Conversely, both communities are more comparable in terms of disability age over 75 (45.3% compared to 45.1%, a difference of 0.61%), cognitive disability (16.4% compared to 16.3%, a difference of 0.81%), and disability age 5 to 17 (5.9% compared to 5.8%, a difference of 1.8%).
Polish vs Lithuanian Disability
Disability MetricPolishLithuanian
Disability
Tragic
12.2%
Poor
11.9%
Males
Tragic
12.0%
Tragic
11.6%
Females
Tragic
12.5%
Average
12.2%
Age | Under 5 years
Tragic
1.6%
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
Average
11.3%
Excellent
10.8%
Age | 65 to 74 years
Exceptional
22.0%
Exceptional
21.4%
Age | Over 75 years
Exceptional
45.3%
Exceptional
45.1%
Vision
Exceptional
2.1%
Exceptional
2.0%
Hearing
Tragic
3.4%
Tragic
3.4%
Cognitive
Exceptional
16.4%
Exceptional
16.3%
Ambulatory
Fair
6.2%
Excellent
6.0%
Self-Care
Excellent
2.4%
Exceptional
2.4%