Asian vs Polish Community Comparison

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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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Asians

Poles

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

Polish Integration in Asian Communities

The statistical analysis conducted on geographies consisting of 536,657,940 people shows a very strong negative correlation between the proportion of Poles within Asian communities in the United States with a correlation coefficient (R) of -0.821. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.037% in Poles. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 36.6 Poles.
Asian Integration in Polish Communities

Asian vs Polish Income

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

Asian vs Polish Poverty

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

Asian vs Polish Unemployment

When considering unemployment, the most significant differences between Asian and Polish communities in the United States are seen in unemployment among seniors over 75 years (8.3% compared to 10.3%, a difference of 25.0%), unemployment among women with children ages 6 to 17 years (8.0% compared to 9.4%, a difference of 17.8%), and unemployment among women with children under 6 years (6.7% compared to 7.9%, 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%).
Asian vs Polish Unemployment
Unemployment MetricAsianPolish
Unemployment
Excellent
5.1%
Exceptional
4.7%
Males
Exceptional
5.1%
Exceptional
4.9%
Females
Good
5.2%
Exceptional
4.7%
Youth < 25
Good
11.4%
Exceptional
11.0%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
16.4%
Age | 20 to 24 years
Good
10.2%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
6.3%
Good
6.5%
Age | 30 to 34 years
Exceptional
5.1%
Good
5.3%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.4%
Age | 45 to 54 years
Exceptional
4.3%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.7%
Age | 60 to 64 years
Average
4.9%
Exceptional
4.7%
Age | 65 to 74 years
Exceptional
5.3%
Good
5.3%
Seniors > 65
Excellent
5.1%
Excellent
5.1%
Seniors > 75
Exceptional
8.3%
Tragic
10.3%
Women w/ Children < 6
Exceptional
6.7%
Poor
7.9%
Women w/ Children 6 to 17
Exceptional
8.0%
Tragic
9.4%
Women w/ Children < 18
Exceptional
5.1%
Exceptional
5.0%

Asian vs Polish Labor Participation

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

Asian vs Polish Family Structure

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

Asian vs Polish Vehicle Availability

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

Asian vs Polish Education Level

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

Asian vs Polish Disability

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