Danish vs Hungarian Community Comparison

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Danish
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
Hungarian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDelawareDominicanDutchDutch 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

Danes

Hungarians

Excellent
Good
8,781
SOCIAL INDEX
85.3/ 100
SOCIAL RATING
48th/ 347
SOCIAL RANK
6,572
SOCIAL INDEX
63.2/ 100
SOCIAL RATING
149th/ 347
SOCIAL RANK

Hungarian Integration in Danish Communities

The statistical analysis conducted on geographies consisting of 429,603,112 people shows a substantial positive correlation between the proportion of Hungarians within Danish communities in the United States with a correlation coefficient (R) of 0.586. On average, for every 1% (one percent) increase in Danes within a typical geography, there is an increase of 0.212% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Danes corresponds to an increase of 211.9 Hungarians.
Danish Integration in Hungarian Communities

Danish vs Hungarian Income

When considering income, the most significant differences between Danish and Hungarian communities in the United States are seen in wage/income gap (31.0% compared to 29.0%, a difference of 6.7%), householder income under 25 years ($53,041 compared to $50,247, a difference of 5.6%), and median female earnings ($37,730 compared to $39,510, a difference of 4.7%). Conversely, both communities are more comparable in terms of median family income ($105,900 compared to $105,609, a difference of 0.28%), householder income ages 25 - 44 years ($97,221 compared to $97,544, a difference of 0.33%), and median household income ($87,676 compared to $86,920, a difference of 0.87%).
Danish vs Hungarian Income
Income MetricDanishHungarian
Per Capita Income
Good
$44,095
Excellent
$45,426
Median Family Income
Excellent
$105,900
Excellent
$105,609
Median Household Income
Excellent
$87,676
Good
$86,920
Median Earnings
Average
$46,392
Excellent
$47,795
Median Male Earnings
Excellent
$56,246
Exceptional
$57,309
Median Female Earnings
Tragic
$37,730
Average
$39,510
Householder Age | Under 25 years
Excellent
$53,041
Tragic
$50,247
Householder Age | 25 - 44 years
Excellent
$97,221
Excellent
$97,544
Householder Age | 45 - 64 years
Exceptional
$105,619
Excellent
$103,913
Householder Age | Over 65 years
Exceptional
$63,117
Good
$61,673
Wage/Income Gap
Tragic
31.0%
Tragic
29.0%

Danish vs Hungarian Poverty

When considering poverty, the most significant differences between Danish and Hungarian communities in the United States are seen in married-couple family poverty (4.1% compared to 5.3%, a difference of 28.2%), receiving food stamps (9.0% compared to 11.0%, a difference of 22.0%), and child poverty among boys under 16 (13.6% compared to 16.5%, a difference of 21.1%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.8% compared to 19.8%, a difference of 0.070%), single female poverty (20.7% compared to 21.1%, a difference of 2.2%), and single mother poverty (28.5% compared to 29.9%, a difference of 5.0%).
Danish vs Hungarian Poverty
Poverty MetricDanishHungarian
Poverty
Exceptional
10.7%
Good
12.2%
Families
Exceptional
7.3%
Good
8.8%
Males
Exceptional
9.7%
Average
11.1%
Females
Exceptional
11.7%
Good
13.2%
Females 18 to 24 years
Good
19.8%
Good
19.8%
Females 25 to 34 years
Exceptional
12.8%
Poor
14.1%
Children Under 5 years
Exceptional
14.9%
Poor
17.9%
Children Under 16 years
Exceptional
13.4%
Average
16.2%
Boys Under 16 years
Exceptional
13.6%
Average
16.5%
Girls Under 16 years
Exceptional
13.7%
Average
16.6%
Single Males
Average
12.8%
Tragic
13.8%
Single Females
Good
20.7%
Fair
21.1%
Single Fathers
Exceptional
15.8%
Tragic
18.5%
Single Mothers
Excellent
28.5%
Poor
29.9%
Married Couples
Exceptional
4.1%
Fair
5.3%
Seniors Over 65 years
Exceptional
8.8%
Exceptional
9.7%
Seniors Over 75 years
Exceptional
10.2%
Exceptional
11.2%
Receiving Food Stamps
Exceptional
9.0%
Excellent
11.0%

Danish vs Hungarian Unemployment

When considering unemployment, the most significant differences between Danish and Hungarian communities in the United States are seen in unemployment among women with children under 18 years (4.5% compared to 5.3%, a difference of 15.7%), unemployment among ages 45 to 54 years (3.9% compared to 4.5%, a difference of 14.8%), and male unemployment (4.5% compared to 5.2%, a difference of 14.8%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.7% compared to 10.1%, a difference of 4.2%), unemployment among ages 65 to 74 years (5.2% compared to 5.5%, a difference of 5.9%), and unemployment among seniors over 65 years (4.9% compared to 5.3%, a difference of 8.0%).
Danish vs Hungarian Unemployment
Unemployment MetricDanishHungarian
Unemployment
Exceptional
4.3%
Exceptional
5.0%
Males
Exceptional
4.5%
Excellent
5.2%
Females
Exceptional
4.4%
Exceptional
4.9%
Youth < 25
Exceptional
10.3%
Excellent
11.4%
Age | 16 to 19 years
Exceptional
15.2%
Exceptional
17.1%
Age | 20 to 24 years
Exceptional
9.3%
Good
10.2%
Age | 25 to 29 years
Exceptional
6.0%
Fair
6.8%
Age | 30 to 34 years
Exceptional
5.0%
Average
5.5%
Age | 35 to 44 years
Exceptional
4.1%
Good
4.6%
Age | 45 to 54 years
Exceptional
3.9%
Good
4.5%
Age | 55 to 59 years
Exceptional
4.3%
Average
4.8%
Age | 60 to 64 years
Exceptional
4.4%
Average
4.9%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
5.5%
Seniors > 65
Exceptional
4.9%
Tragic
5.3%
Seniors > 75
Tragic
9.7%
Tragic
10.1%
Women w/ Children < 6
Exceptional
7.1%
Fair
7.8%
Women w/ Children 6 to 17
Exceptional
8.1%
Tragic
9.3%
Women w/ Children < 18
Exceptional
4.5%
Excellent
5.3%

Danish vs Hungarian Labor Participation

When considering labor participation, the most significant differences between Danish and Hungarian communities in the United States are seen in in labor force | age 16-19 (44.7% compared to 39.8%, a difference of 12.2%), in labor force | age 20-24 (79.0% compared to 76.3%, a difference of 3.6%), and in labor force | age > 16 (65.3% compared to 63.8%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.3% compared to 84.2%, a difference of 0.090%), in labor force | age 25-29 (84.8% compared to 84.6%, a difference of 0.19%), and in labor force | age 30-34 (84.3% compared to 84.5%, a difference of 0.31%).
Danish vs Hungarian Labor Participation
Labor Participation MetricDanishHungarian
In Labor Force | Age > 16
Good
65.3%
Tragic
63.8%
In Labor Force | Age 20-64
Exceptional
79.9%
Tragic
79.2%
In Labor Force | Age 16-19
Exceptional
44.7%
Exceptional
39.8%
In Labor Force | Age 20-24
Exceptional
79.0%
Exceptional
76.3%
In Labor Force | Age 25-29
Good
84.8%
Average
84.6%
In Labor Force | Age 30-34
Tragic
84.3%
Fair
84.5%
In Labor Force | Age 35-44
Fair
84.3%
Fair
84.2%
In Labor Force | Age 45-54
Exceptional
83.3%
Fair
82.7%

Danish vs Hungarian Family Structure

When considering family structure, the most significant differences between Danish and Hungarian communities in the United States are seen in births to unmarried women (28.7% compared to 31.2%, a difference of 8.9%), single father households (2.3% compared to 2.2%, a difference of 7.8%), and family households with children (28.7% compared to 27.6%, a difference of 4.1%). Conversely, both communities are more comparable in terms of average family size (3.17 compared to 3.18, a difference of 0.080%), divorced or separated (11.9% compared to 12.0%, a difference of 0.76%), and family households (66.0% compared to 64.9%, a difference of 1.7%).
Danish vs Hungarian Family Structure
Family Structure MetricDanishHungarian
Family Households
Exceptional
66.0%
Exceptional
64.9%
Family Households with Children
Exceptional
28.7%
Good
27.6%
Married-couple Households
Exceptional
51.1%
Exceptional
49.1%
Average Family Size
Tragic
3.17
Tragic
3.18
Single Father Households
Average
2.3%
Exceptional
2.2%
Single Mother Households
Exceptional
5.5%
Exceptional
5.7%
Currently Married
Exceptional
50.5%
Exceptional
48.8%
Divorced or Separated
Excellent
11.9%
Good
12.0%
Births to Unmarried Women
Exceptional
28.7%
Good
31.2%

Danish vs Hungarian Vehicle Availability

When considering vehicle availability, the most significant differences between Danish and Hungarian communities in the United States are seen in no vehicles in household (6.6% compared to 9.9%, a difference of 50.5%), 4 or more vehicles in household (8.6% compared to 6.4%, a difference of 34.0%), and 3 or more vehicles in household (24.7% compared to 19.8%, a difference of 24.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.5% compared to 90.3%, a difference of 3.5%), 2 or more vehicles in household (63.3% compared to 56.5%, a difference of 12.0%), and 3 or more vehicles in household (24.7% compared to 19.8%, a difference of 24.7%).
Danish vs Hungarian Vehicle Availability
Vehicle Availability MetricDanishHungarian
No Vehicles Available
Exceptional
6.6%
Excellent
9.9%
1+ Vehicles Available
Exceptional
93.5%
Excellent
90.3%
2+ Vehicles Available
Exceptional
63.3%
Excellent
56.5%
3+ Vehicles Available
Exceptional
24.7%
Good
19.8%
4+ Vehicles Available
Exceptional
8.6%
Good
6.4%

Danish vs Hungarian Education Level

When considering education level, the most significant differences between Danish and Hungarian communities in the United States are seen in no schooling completed (1.5% compared to 1.6%, a difference of 8.8%), master's degree (14.5% compared to 15.6%, a difference of 7.0%), and professional degree (4.4% compared to 4.6%, a difference of 6.2%). Conversely, both communities are more comparable in terms of doctorate degree (1.9% compared to 1.9%, a difference of 0.030%), nursery school (98.6% compared to 98.5%, a difference of 0.15%), and kindergarten (98.6% compared to 98.5%, a difference of 0.15%).
Danish vs Hungarian Education Level
Education Level MetricDanishHungarian
No Schooling Completed
Exceptional
1.5%
Exceptional
1.6%
Nursery School
Exceptional
98.6%
Exceptional
98.5%
Kindergarten
Exceptional
98.6%
Exceptional
98.5%
1st Grade
Exceptional
98.6%
Exceptional
98.4%
2nd Grade
Exceptional
98.5%
Exceptional
98.4%
3rd Grade
Exceptional
98.5%
Exceptional
98.3%
4th Grade
Exceptional
98.3%
Exceptional
98.2%
5th Grade
Exceptional
98.2%
Exceptional
98.0%
6th Grade
Exceptional
98.0%
Exceptional
97.8%
7th Grade
Exceptional
97.4%
Exceptional
97.2%
8th Grade
Exceptional
97.2%
Exceptional
97.0%
9th Grade
Exceptional
96.5%
Exceptional
96.2%
10th Grade
Exceptional
95.7%
Exceptional
95.3%
11th Grade
Exceptional
94.7%
Exceptional
94.2%
12th Grade, No Diploma
Exceptional
93.5%
Exceptional
92.8%
High School Diploma
Exceptional
91.8%
Exceptional
90.8%
GED/Equivalency
Exceptional
88.4%
Exceptional
87.4%
College, Under 1 year
Exceptional
68.5%
Average
65.6%
College, 1 year or more
Exceptional
61.7%
Average
59.5%
Associate's Degree
Good
47.4%
Average
46.7%
Bachelor's Degree
Average
38.1%
Good
38.3%
Master's Degree
Fair
14.5%
Good
15.6%
Professional Degree
Average
4.4%
Excellent
4.6%
Doctorate Degree
Good
1.9%
Good
1.9%

Danish vs Hungarian Disability

When considering disability, the most significant differences between Danish and Hungarian communities in the United States are seen in self-care disability (2.3% compared to 2.5%, a difference of 9.5%), ambulatory disability (5.8% compared to 6.3%, a difference of 7.7%), and hearing disability (3.6% compared to 3.4%, a difference of 5.0%). Conversely, both communities are more comparable in terms of male disability (11.9% compared to 12.0%, a difference of 0.19%), disability age 35 to 64 (11.4% compared to 11.4%, a difference of 0.19%), and disability age over 75 (46.2% compared to 46.5%, a difference of 0.72%).
Danish vs Hungarian Disability
Disability MetricDanishHungarian
Disability
Tragic
12.0%
Tragic
12.2%
Males
Tragic
11.9%
Tragic
12.0%
Females
Good
12.1%
Tragic
12.5%
Age | Under 5 years
Tragic
1.5%
Tragic
1.5%
Age | 5 to 17 years
Fair
5.7%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.5%
Tragic
7.1%
Age | 35 to 64 years
Fair
11.4%
Fair
11.4%
Age | 65 to 74 years
Excellent
22.8%
Exceptional
22.4%
Age | Over 75 years
Exceptional
46.2%
Exceptional
46.5%
Vision
Exceptional
2.1%
Good
2.1%
Hearing
Tragic
3.6%
Tragic
3.4%
Cognitive
Exceptional
16.7%
Exceptional
16.5%
Ambulatory
Exceptional
5.8%
Tragic
6.3%
Self-Care
Exceptional
2.3%
Average
2.5%