Hungarian vs Polish Community Comparison

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Hungarian
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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaIcelanderIndian (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

Hungarians

Poles

Good
Excellent
6,572
SOCIAL INDEX
63.2/ 100
SOCIAL RATING
149th/ 347
SOCIAL RANK
8,413
SOCIAL INDEX
81.6/ 100
SOCIAL RATING
72nd/ 347
SOCIAL RANK

Polish Integration in Hungarian Communities

The statistical analysis conducted on geographies consisting of 483,325,185 people shows a significant positive correlation between the proportion of Poles within Hungarian communities in the United States with a correlation coefficient (R) of 0.653. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.593% in Poles. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to an increase of 593.4 Poles.
Hungarian Integration in Polish Communities

Hungarian vs Polish Income

When considering income, the most significant differences between Hungarian and Polish communities in the United States are seen in householder income under 25 years ($50,247 compared to $52,407, a difference of 4.3%), median family income ($105,609 compared to $108,507, a difference of 2.7%), and householder income ages 25 - 44 years ($97,544 compared to $99,685, a difference of 2.2%). Conversely, both communities are more comparable in terms of householder income over 65 years ($61,673 compared to $61,598, a difference of 0.12%), median male earnings ($57,309 compared to $58,139, a difference of 1.5%), and per capita income ($45,426 compared to $46,123, a difference of 1.5%).
Hungarian vs Polish Income
Income MetricHungarianPolish
Per Capita Income
Excellent
$45,426
Exceptional
$46,123
Median Family Income
Excellent
$105,609
Exceptional
$108,507
Median Household Income
Good
$86,920
Excellent
$88,472
Median Earnings
Excellent
$47,795
Exceptional
$48,659
Median Male Earnings
Exceptional
$57,309
Exceptional
$58,139
Median Female Earnings
Average
$39,510
Excellent
$40,371
Householder Age | Under 25 years
Tragic
$50,247
Good
$52,407
Householder Age | 25 - 44 years
Excellent
$97,544
Exceptional
$99,685
Householder Age | 45 - 64 years
Excellent
$103,913
Exceptional
$105,952
Householder Age | Over 65 years
Good
$61,673
Good
$61,598
Wage/Income Gap
Tragic
29.0%
Tragic
28.5%

Hungarian vs Polish Poverty

When considering poverty, the most significant differences between Hungarian and Polish communities in the United States are seen in married-couple family poverty (5.3% compared to 4.0%, a difference of 32.0%), family poverty (8.8% compared to 7.4%, a difference of 18.3%), and child poverty under the age of 16 (16.2% compared to 14.0%, a difference of 15.1%). Conversely, both communities are more comparable in terms of single mother poverty (29.9% compared to 28.4%, a difference of 5.5%), female poverty among 18-24 year olds (19.8% compared to 18.8%, a difference of 5.6%), and single male poverty (13.8% compared to 13.0%, a difference of 5.7%).
Hungarian vs Polish Poverty
Poverty MetricHungarianPolish
Poverty
Good
12.2%
Exceptional
10.7%
Families
Good
8.8%
Exceptional
7.4%
Males
Average
11.1%
Exceptional
9.7%
Females
Good
13.2%
Exceptional
11.7%
Females 18 to 24 years
Good
19.8%
Exceptional
18.8%
Females 25 to 34 years
Poor
14.1%
Exceptional
12.7%
Children Under 5 years
Poor
17.9%
Exceptional
15.7%
Children Under 16 years
Average
16.2%
Exceptional
14.0%
Boys Under 16 years
Average
16.5%
Exceptional
14.4%
Girls Under 16 years
Average
16.6%
Exceptional
14.4%
Single Males
Tragic
13.8%
Poor
13.0%
Single Females
Fair
21.1%
Exceptional
20.0%
Single Fathers
Tragic
18.5%
Tragic
17.3%
Single Mothers
Poor
29.9%
Exceptional
28.4%
Married Couples
Fair
5.3%
Exceptional
4.0%
Seniors Over 65 years
Exceptional
9.7%
Exceptional
9.1%
Seniors Over 75 years
Exceptional
11.2%
Exceptional
10.6%
Receiving Food Stamps
Excellent
11.0%
Exceptional
10.0%

Hungarian vs Polish Unemployment

When considering unemployment, the most significant differences between Hungarian and Polish communities in the United States are seen in female unemployment (4.9% compared to 4.7%, a difference of 5.5%), unemployment among women with children under 18 years (5.3% compared to 5.0%, a difference of 5.4%), and unemployment among ages 45 to 54 years (4.5% compared to 4.2%, a difference of 5.3%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.8% compared to 7.9%, a difference of 0.56%), unemployment among women with children ages 6 to 17 years (9.3% compared to 9.4%, a difference of 0.73%), and unemployment among seniors over 75 years (10.1% compared to 10.3%, a difference of 2.2%).
Hungarian vs Polish Unemployment
Unemployment MetricHungarianPolish
Unemployment
Exceptional
5.0%
Exceptional
4.7%
Males
Excellent
5.2%
Exceptional
4.9%
Females
Exceptional
4.9%
Exceptional
4.7%
Youth < 25
Excellent
11.4%
Exceptional
11.0%
Age | 16 to 19 years
Exceptional
17.1%
Exceptional
16.4%
Age | 20 to 24 years
Good
10.2%
Exceptional
10.0%
Age | 25 to 29 years
Fair
6.8%
Good
6.5%
Age | 30 to 34 years
Average
5.5%
Good
5.3%
Age | 35 to 44 years
Good
4.6%
Exceptional
4.4%
Age | 45 to 54 years
Good
4.5%
Exceptional
4.2%
Age | 55 to 59 years
Average
4.8%
Exceptional
4.7%
Age | 60 to 64 years
Average
4.9%
Exceptional
4.7%
Age | 65 to 74 years
Tragic
5.5%
Good
5.3%
Seniors > 65
Tragic
5.3%
Excellent
5.1%
Seniors > 75
Tragic
10.1%
Tragic
10.3%
Women w/ Children < 6
Fair
7.8%
Poor
7.9%
Women w/ Children 6 to 17
Tragic
9.3%
Tragic
9.4%
Women w/ Children < 18
Excellent
5.3%
Exceptional
5.0%

Hungarian vs Polish Labor Participation

When considering labor participation, the most significant differences between Hungarian and Polish communities in the United States are seen in in labor force | age 16-19 (39.8% compared to 42.1%, a difference of 5.8%), in labor force | age 20-24 (76.3% compared to 77.6%, a difference of 1.7%), and in labor force | age > 16 (63.8% compared to 64.7%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (82.7% compared to 83.6%, a difference of 1.1%), in labor force | age 30-34 (84.5% compared to 85.5%, a difference of 1.1%), and in labor force | age 35-44 (84.2% compared to 85.2%, a difference of 1.2%).
Hungarian vs Polish Labor Participation
Labor Participation MetricHungarianPolish
In Labor Force | Age > 16
Tragic
63.8%
Tragic
64.7%
In Labor Force | Age 20-64
Tragic
79.2%
Exceptional
80.1%
In Labor Force | Age 16-19
Exceptional
39.8%
Exceptional
42.1%
In Labor Force | Age 20-24
Exceptional
76.3%
Exceptional
77.6%
In Labor Force | Age 25-29
Average
84.6%
Exceptional
85.8%
In Labor Force | Age 30-34
Fair
84.5%
Exceptional
85.5%
In Labor Force | Age 35-44
Fair
84.2%
Exceptional
85.2%
In Labor Force | Age 45-54
Fair
82.7%
Exceptional
83.6%

Hungarian vs Polish Family Structure

When considering family structure, the most significant differences between Hungarian and Polish communities in the United States are seen in family households with children (27.6% compared to 26.5%, a difference of 4.3%), average family size (3.18 compared to 3.09, a difference of 2.7%), and single mother households (5.7% compared to 5.6%, a difference of 1.8%). Conversely, both communities are more comparable in terms of currently married (48.8% compared to 48.9%, a difference of 0.14%), divorced or separated (12.0% compared to 11.9%, a difference of 0.38%), and single father households (2.2% compared to 2.2%, a difference of 1.1%).
Hungarian vs Polish Family Structure
Family Structure MetricHungarianPolish
Family Households
Exceptional
64.9%
Poor
64.0%
Family Households with Children
Good
27.6%
Tragic
26.5%
Married-couple Households
Exceptional
49.1%
Exceptional
48.5%
Average Family Size
Tragic
3.18
Tragic
3.09
Single Father Households
Exceptional
2.2%
Exceptional
2.2%
Single Mother Households
Exceptional
5.7%
Exceptional
5.6%
Currently Married
Exceptional
48.8%
Exceptional
48.9%
Divorced or Separated
Good
12.0%
Good
11.9%
Births to Unmarried Women
Good
31.2%
Good
30.8%

Hungarian vs Polish Vehicle Availability

When considering vehicle availability, the most significant differences between Hungarian and Polish communities in the United States are seen in no vehicles in household (9.9% compared to 8.4%, a difference of 17.5%), 2 or more vehicles in household (56.5% compared to 58.3%, a difference of 3.2%), and 3 or more vehicles in household (19.8% compared to 20.2%, a difference of 2.0%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.4% compared to 6.4%, a difference of 0.44%), 1 or more vehicles in household (90.3% compared to 91.7%, a difference of 1.5%), and 3 or more vehicles in household (19.8% compared to 20.2%, a difference of 2.0%).
Hungarian vs Polish Vehicle Availability
Vehicle Availability MetricHungarianPolish
No Vehicles Available
Excellent
9.9%
Exceptional
8.4%
1+ Vehicles Available
Excellent
90.3%
Exceptional
91.7%
2+ Vehicles Available
Excellent
56.5%
Exceptional
58.3%
3+ Vehicles Available
Good
19.8%
Excellent
20.2%
4+ Vehicles Available
Good
6.4%
Average
6.4%

Hungarian vs Polish Education Level

When considering education level, the most significant differences between Hungarian and Polish communities in the United States are seen in no schooling completed (1.6% compared to 1.4%, a difference of 10.8%), associate's degree (46.7% compared to 48.0%, a difference of 2.9%), and bachelor's degree (38.3% compared to 39.1%, a difference of 2.1%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 98.6%, a difference of 0.15%), kindergarten (98.5% compared to 98.6%, a difference of 0.15%), and 1st grade (98.4% compared to 98.6%, a difference of 0.15%).
Hungarian vs Polish Education Level
Education Level MetricHungarianPolish
No Schooling Completed
Exceptional
1.6%
Exceptional
1.4%
Nursery School
Exceptional
98.5%
Exceptional
98.6%
Kindergarten
Exceptional
98.5%
Exceptional
98.6%
1st Grade
Exceptional
98.4%
Exceptional
98.6%
2nd Grade
Exceptional
98.4%
Exceptional
98.5%
3rd Grade
Exceptional
98.3%
Exceptional
98.5%
4th Grade
Exceptional
98.2%
Exceptional
98.4%
5th Grade
Exceptional
98.0%
Exceptional
98.3%
6th Grade
Exceptional
97.8%
Exceptional
98.1%
7th Grade
Exceptional
97.2%
Exceptional
97.6%
8th Grade
Exceptional
97.0%
Exceptional
97.4%
9th Grade
Exceptional
96.2%
Exceptional
96.7%
10th Grade
Exceptional
95.3%
Exceptional
95.8%
11th Grade
Exceptional
94.2%
Exceptional
94.8%
12th Grade, No Diploma
Exceptional
92.8%
Exceptional
93.5%
High School Diploma
Exceptional
90.8%
Exceptional
91.9%
GED/Equivalency
Exceptional
87.4%
Exceptional
88.5%
College, Under 1 year
Average
65.6%
Excellent
66.9%
College, 1 year or more
Average
59.5%
Excellent
60.7%
Associate's Degree
Average
46.7%
Excellent
48.0%
Bachelor's Degree
Good
38.3%
Good
39.1%
Master's Degree
Good
15.6%
Excellent
15.7%
Professional Degree
Excellent
4.6%
Good
4.6%
Doctorate Degree
Good
1.9%
Good
1.9%

Hungarian vs Polish Disability

When considering disability, the most significant differences between Hungarian and Polish communities in the United States are seen in vision disability (2.1% compared to 2.1%, a difference of 2.8%), self-care disability (2.5% compared to 2.4%, a difference of 2.8%), and disability age under 5 (1.5% compared to 1.6%, a difference of 2.8%). Conversely, both communities are more comparable in terms of disability (12.2% compared to 12.2%, a difference of 0.020%), female disability (12.5% compared to 12.5%, a difference of 0.16%), and male disability (12.0% compared to 12.0%, a difference of 0.18%).
Hungarian vs Polish Disability
Disability MetricHungarianPolish
Disability
Tragic
12.2%
Tragic
12.2%
Males
Tragic
12.0%
Tragic
12.0%
Females
Tragic
12.5%
Tragic
12.5%
Age | Under 5 years
Tragic
1.5%
Tragic
1.6%
Age | 5 to 17 years
Tragic
5.8%
Tragic
5.9%
Age | 18 to 34 years
Tragic
7.1%
Tragic
7.2%
Age | 35 to 64 years
Fair
11.4%
Average
11.3%
Age | 65 to 74 years
Exceptional
22.4%
Exceptional
22.0%
Age | Over 75 years
Exceptional
46.5%
Exceptional
45.3%
Vision
Good
2.1%
Exceptional
2.1%
Hearing
Tragic
3.4%
Tragic
3.4%
Cognitive
Exceptional
16.5%
Exceptional
16.4%
Ambulatory
Tragic
6.3%
Fair
6.2%
Self-Care
Average
2.5%
Excellent
2.4%