Polish vs Asian Community Comparison

COMPARE

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)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
Asian
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

Asians

Excellent
Excellent
8,413
SOCIAL INDEX
81.6/ 100
SOCIAL RATING
72nd/ 347
SOCIAL RANK
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK

Asian Integration in Polish Communities

The statistical analysis conducted on geographies consisting of 537,658,065 people shows a strong negative correlation between the proportion of Asians within Polish communities in the United States with a correlation coefficient (R) of -0.773. On average, for every 1% (one percent) increase in Poles within a typical geography, there is a decrease of 0.129% in Asians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Poles corresponds to a decrease of 129.3 Asians.
Polish Integration in Asian Communities

Polish vs Asian Income

When considering income, the most significant differences between Polish and Asian communities in the United States are seen in median household income ($88,472 compared to $101,681, a difference of 14.9%), householder income ages 25 - 44 years ($99,685 compared to $112,666, a difference of 13.0%), and householder income ages 45 - 64 years ($105,952 compared to $118,426, a difference of 11.8%). Conversely, both communities are more comparable in terms of wage/income gap (28.5% compared to 26.9%, a difference of 6.0%), per capita income ($46,123 compared to $50,057, a difference of 8.5%), and householder income under 25 years ($52,407 compared to $57,003, a difference of 8.8%).
Polish vs Asian Income
Income MetricPolishAsian
Per Capita Income
Exceptional
$46,123
Exceptional
$50,057
Median Family Income
Exceptional
$108,507
Exceptional
$119,955
Median Household Income
Excellent
$88,472
Exceptional
$101,681
Median Earnings
Exceptional
$48,659
Exceptional
$53,690
Median Male Earnings
Exceptional
$58,139
Exceptional
$63,827
Median Female Earnings
Excellent
$40,371
Exceptional
$44,586
Householder Age | Under 25 years
Good
$52,407
Exceptional
$57,003
Householder Age | 25 - 44 years
Exceptional
$99,685
Exceptional
$112,666
Householder Age | 45 - 64 years
Exceptional
$105,952
Exceptional
$118,426
Householder Age | Over 65 years
Good
$61,598
Exceptional
$68,822
Wage/Income Gap
Tragic
28.5%
Tragic
26.9%

Polish vs Asian Poverty

When considering poverty, the most significant differences between Polish and Asian communities in the United States are seen in single father poverty (17.3% compared to 14.6%, a difference of 19.0%), single male poverty (13.0% compared to 11.2%, a difference of 16.4%), and married-couple family poverty (4.0% compared to 4.7%, a difference of 15.8%). Conversely, both communities are more comparable in terms of female poverty (11.7% compared to 11.9%, a difference of 1.6%), poverty (10.7% compared to 11.0%, a difference of 2.3%), and receiving food stamps (10.0% compared to 9.7%, a difference of 3.0%).
Polish vs Asian Poverty
Poverty MetricPolishAsian
Poverty
Exceptional
10.7%
Exceptional
11.0%
Families
Exceptional
7.4%
Exceptional
7.7%
Males
Exceptional
9.7%
Exceptional
10.0%
Females
Exceptional
11.7%
Exceptional
11.9%
Females 18 to 24 years
Exceptional
18.8%
Exceptional
18.2%
Females 25 to 34 years
Exceptional
12.7%
Exceptional
11.4%
Children Under 5 years
Exceptional
15.7%
Exceptional
14.0%
Children Under 16 years
Exceptional
14.0%
Exceptional
13.5%
Boys Under 16 years
Exceptional
14.4%
Exceptional
13.5%
Girls Under 16 years
Exceptional
14.4%
Exceptional
13.7%
Single Males
Poor
13.0%
Exceptional
11.2%
Single Females
Exceptional
20.0%
Exceptional
18.3%
Single Fathers
Tragic
17.3%
Exceptional
14.6%
Single Mothers
Exceptional
28.4%
Exceptional
26.0%
Married Couples
Exceptional
4.0%
Exceptional
4.7%
Seniors Over 65 years
Exceptional
9.1%
Excellent
10.4%
Seniors Over 75 years
Exceptional
10.6%
Good
12.0%
Receiving Food Stamps
Exceptional
10.0%
Exceptional
9.7%

Polish vs Asian Unemployment

When considering unemployment, the most significant differences between Polish and Asian communities in the United States are seen in unemployment among seniors over 75 years (10.3% compared to 8.3%, a difference of 25.0%), unemployment among women with children ages 6 to 17 years (9.4% compared to 8.0%, a difference of 17.8%), and unemployment among women with children under 6 years (7.9% compared to 6.7%, a difference of 17.7%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.52%), unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.61%), and unemployment among ages 65 to 74 years (5.3% compared to 5.3%, a difference of 1.1%).
Polish vs Asian Unemployment
Unemployment MetricPolishAsian
Unemployment
Exceptional
4.7%
Excellent
5.1%
Males
Exceptional
4.9%
Exceptional
5.1%
Females
Exceptional
4.7%
Good
5.2%
Youth < 25
Exceptional
11.0%
Good
11.4%
Age | 16 to 19 years
Exceptional
16.4%
Exceptional
16.9%
Age | 20 to 24 years
Exceptional
10.0%
Good
10.2%
Age | 25 to 29 years
Good
6.5%
Exceptional
6.3%
Age | 30 to 34 years
Good
5.3%
Exceptional
5.1%
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%
Exceptional
4.7%
Age | 60 to 64 years
Exceptional
4.7%
Average
4.9%
Age | 65 to 74 years
Good
5.3%
Exceptional
5.3%
Seniors > 65
Excellent
5.1%
Excellent
5.1%
Seniors > 75
Tragic
10.3%
Exceptional
8.3%
Women w/ Children < 6
Poor
7.9%
Exceptional
6.7%
Women w/ Children 6 to 17
Tragic
9.4%
Exceptional
8.0%
Women w/ Children < 18
Exceptional
5.0%
Exceptional
5.1%

Polish vs Asian Labor Participation

When considering labor participation, the most significant differences between Polish and Asian communities in the United States are seen in in labor force | age 16-19 (42.1% compared to 34.1%, a difference of 23.7%), in labor force | age 20-24 (77.6% compared to 73.7%, a difference of 5.4%), and in labor force | age > 16 (64.7% compared to 66.2%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.1% compared to 80.2%, a difference of 0.070%), in labor force | age 45-54 (83.6% compared to 83.4%, a difference of 0.13%), and in labor force | age 30-34 (85.5% compared to 85.1%, a difference of 0.49%).
Polish vs Asian Labor Participation
Labor Participation MetricPolishAsian
In Labor Force | Age > 16
Tragic
64.7%
Exceptional
66.2%
In Labor Force | Age 20-64
Exceptional
80.1%
Exceptional
80.2%
In Labor Force | Age 16-19
Exceptional
42.1%
Tragic
34.1%
In Labor Force | Age 20-24
Exceptional
77.6%
Tragic
73.7%
In Labor Force | Age 25-29
Exceptional
85.8%
Good
84.8%
In Labor Force | Age 30-34
Exceptional
85.5%
Exceptional
85.1%
In Labor Force | Age 35-44
Exceptional
85.2%
Exceptional
84.7%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
83.4%

Polish vs Asian Family Structure

When considering family structure, the most significant differences between Polish and Asian communities in the United States are seen in births to unmarried women (30.8% compared to 26.8%, a difference of 15.0%), divorced or separated (11.9% compared to 10.6%, a difference of 12.1%), and family households with children (26.5% compared to 29.1%, a difference of 9.7%). Conversely, both communities are more comparable in terms of single mother households (5.6% compared to 5.6%, a difference of 0.36%), currently married (48.9% compared to 48.4%, a difference of 1.0%), and married-couple households (48.5% compared to 49.5%, a difference of 1.9%).
Polish vs Asian Family Structure
Family Structure MetricPolishAsian
Family Households
Poor
64.0%
Exceptional
66.5%
Family Households with Children
Tragic
26.5%
Exceptional
29.1%
Married-couple Households
Exceptional
48.5%
Exceptional
49.5%
Average Family Size
Tragic
3.09
Exceptional
3.28
Single Father Households
Exceptional
2.2%
Exceptional
2.1%
Single Mother Households
Exceptional
5.6%
Exceptional
5.6%
Currently Married
Exceptional
48.9%
Exceptional
48.4%
Divorced or Separated
Good
11.9%
Exceptional
10.6%
Births to Unmarried Women
Good
30.8%
Exceptional
26.8%

Polish vs Asian Vehicle Availability

When considering vehicle availability, the most significant differences between Polish and Asian communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 7.0%, a difference of 10.1%), no vehicles in household (8.4% compared to 9.0%, a difference of 6.4%), and 3 or more vehicles in household (20.2% compared to 20.8%, a difference of 2.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 91.1%, a difference of 0.65%), 2 or more vehicles in household (58.3% compared to 57.0%, a difference of 2.3%), and 3 or more vehicles in household (20.2% compared to 20.8%, a difference of 2.7%).
Polish vs Asian Vehicle Availability
Vehicle Availability MetricPolishAsian
No Vehicles Available
Exceptional
8.4%
Exceptional
9.0%
1+ Vehicles Available
Exceptional
91.7%
Exceptional
91.1%
2+ Vehicles Available
Exceptional
58.3%
Exceptional
57.0%
3+ Vehicles Available
Excellent
20.2%
Exceptional
20.8%
4+ Vehicles Available
Average
6.4%
Exceptional
7.0%

Polish vs Asian Education Level

When considering education level, the most significant differences between Polish and Asian communities in the United States are seen in no schooling completed (1.4% compared to 2.4%, a difference of 66.9%), doctorate degree (1.9% compared to 2.4%, a difference of 27.5%), and professional degree (4.6% compared to 5.5%, a difference of 20.7%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.6%, a difference of 1.0%), kindergarten (98.6% compared to 97.6%, a difference of 1.0%), and 1st grade (98.6% compared to 97.6%, a difference of 1.0%).
Polish vs Asian Education Level
Education Level MetricPolishAsian
No Schooling Completed
Exceptional
1.4%
Tragic
2.4%
Nursery School
Exceptional
98.6%
Tragic
97.6%
Kindergarten
Exceptional
98.6%
Tragic
97.6%
1st Grade
Exceptional
98.6%
Tragic
97.6%
2nd Grade
Exceptional
98.5%
Tragic
97.5%
3rd Grade
Exceptional
98.5%
Tragic
97.4%
4th Grade
Exceptional
98.4%
Tragic
97.1%
5th Grade
Exceptional
98.3%
Tragic
96.9%
6th Grade
Exceptional
98.1%
Tragic
96.6%
7th Grade
Exceptional
97.6%
Tragic
95.5%
8th Grade
Exceptional
97.4%
Tragic
95.2%
9th Grade
Exceptional
96.7%
Tragic
94.5%
10th Grade
Exceptional
95.8%
Fair
93.5%
11th Grade
Exceptional
94.8%
Average
92.5%
12th Grade, No Diploma
Exceptional
93.5%
Good
91.4%
High School Diploma
Exceptional
91.9%
Good
89.4%
GED/Equivalency
Exceptional
88.5%
Exceptional
86.7%
College, Under 1 year
Excellent
66.9%
Exceptional
69.4%
College, 1 year or more
Excellent
60.7%
Exceptional
64.2%
Associate's Degree
Excellent
48.0%
Exceptional
52.1%
Bachelor's Degree
Good
39.1%
Exceptional
44.4%
Master's Degree
Excellent
15.7%
Exceptional
18.4%
Professional Degree
Good
4.6%
Exceptional
5.5%
Doctorate Degree
Good
1.9%
Exceptional
2.4%

Polish vs Asian Disability

When considering disability, the most significant differences between Polish and Asian communities in the United States are seen in disability age under 5 (1.6% compared to 1.1%, a difference of 46.6%), hearing disability (3.4% compared to 2.7%, a difference of 25.3%), and disability age 18 to 34 (7.2% compared to 5.8%, a difference of 23.3%). Conversely, both communities are more comparable in terms of cognitive disability (16.4% compared to 16.7%, a difference of 2.2%), disability age 65 to 74 (22.0% compared to 21.4%, a difference of 3.2%), and self-care disability (2.4% compared to 2.3%, a difference of 3.4%).
Polish vs Asian Disability
Disability MetricPolishAsian
Disability
Tragic
12.2%
Exceptional
10.4%
Males
Tragic
12.0%
Exceptional
10.0%
Females
Tragic
12.5%
Exceptional
10.9%
Age | Under 5 years
Tragic
1.6%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
5.9%
Exceptional
4.8%
Age | 18 to 34 years
Tragic
7.2%
Exceptional
5.8%
Age | 35 to 64 years
Average
11.3%
Exceptional
9.4%
Age | 65 to 74 years
Exceptional
22.0%
Exceptional
21.4%
Age | Over 75 years
Exceptional
45.3%
Excellent
46.9%
Vision
Exceptional
2.1%
Exceptional
1.9%
Hearing
Tragic
3.4%
Exceptional
2.7%
Cognitive
Exceptional
16.4%
Exceptional
16.7%
Ambulatory
Fair
6.2%
Exceptional
5.4%
Self-Care
Excellent
2.4%
Exceptional
2.3%