Serbian vs Hungarian Community Comparison

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Serbian
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 RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseShoshoneSierra 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

Serbians

Hungarians

Excellent
Good
8,746
SOCIAL INDEX
84.9/ 100
SOCIAL RATING
53rd/ 347
SOCIAL RANK
6,572
SOCIAL INDEX
63.2/ 100
SOCIAL RATING
149th/ 347
SOCIAL RANK

Hungarian Integration in Serbian Communities

The statistical analysis conducted on geographies consisting of 260,565,987 people shows a very strong positive correlation between the proportion of Hungarians within Serbian communities in the United States with a correlation coefficient (R) of 0.825. On average, for every 1% (one percent) increase in Serbians within a typical geography, there is an increase of 0.472% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Serbians corresponds to an increase of 472.2 Hungarians.
Serbian Integration in Hungarian Communities

Serbian vs Hungarian Income

When considering income, the most significant differences between Serbian and Hungarian communities in the United States are seen in wage/income gap (27.7% compared to 29.0%, a difference of 4.8%), median female earnings ($40,539 compared to $39,510, a difference of 2.6%), and per capita income ($46,551 compared to $45,426, a difference of 2.5%). Conversely, both communities are more comparable in terms of householder income ages 45 - 64 years ($103,522 compared to $103,913, a difference of 0.38%), median household income ($87,572 compared to $86,920, a difference of 0.75%), and householder income ages 25 - 44 years ($98,320 compared to $97,544, a difference of 0.80%).
Serbian vs Hungarian Income
Income MetricSerbianHungarian
Per Capita Income
Exceptional
$46,551
Excellent
$45,426
Median Family Income
Exceptional
$107,157
Excellent
$105,609
Median Household Income
Excellent
$87,572
Good
$86,920
Median Earnings
Exceptional
$48,677
Excellent
$47,795
Median Male Earnings
Exceptional
$57,975
Exceptional
$57,309
Median Female Earnings
Excellent
$40,539
Average
$39,510
Householder Age | Under 25 years
Tragic
$51,106
Tragic
$50,247
Householder Age | 25 - 44 years
Excellent
$98,320
Excellent
$97,544
Householder Age | 45 - 64 years
Excellent
$103,522
Excellent
$103,913
Householder Age | Over 65 years
Average
$61,087
Good
$61,673
Wage/Income Gap
Tragic
27.7%
Tragic
29.0%

Serbian vs Hungarian Poverty

When considering poverty, the most significant differences between Serbian and Hungarian communities in the United States are seen in married-couple family poverty (4.3% compared to 5.3%, a difference of 23.5%), single father poverty (16.4% compared to 18.5%, a difference of 12.8%), and single male poverty (12.5% compared to 13.8%, a difference of 10.6%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.1% compared to 11.2%, a difference of 0.64%), seniors poverty over the age of 65 (9.8% compared to 9.7%, a difference of 1.1%), and female poverty among 18-24 year olds (19.1% compared to 19.8%, a difference of 3.5%).
Serbian vs Hungarian Poverty
Poverty MetricSerbianHungarian
Poverty
Exceptional
11.2%
Good
12.2%
Families
Exceptional
8.0%
Good
8.8%
Males
Exceptional
10.2%
Average
11.1%
Females
Exceptional
12.3%
Good
13.2%
Females 18 to 24 years
Exceptional
19.1%
Good
19.8%
Females 25 to 34 years
Excellent
13.0%
Poor
14.1%
Children Under 5 years
Excellent
16.3%
Poor
17.9%
Children Under 16 years
Exceptional
14.8%
Average
16.2%
Boys Under 16 years
Exceptional
15.1%
Average
16.5%
Girls Under 16 years
Exceptional
15.1%
Average
16.6%
Single Males
Excellent
12.5%
Tragic
13.8%
Single Females
Exceptional
20.1%
Fair
21.1%
Single Fathers
Average
16.4%
Tragic
18.5%
Single Mothers
Excellent
28.6%
Poor
29.9%
Married Couples
Exceptional
4.3%
Fair
5.3%
Seniors Over 65 years
Exceptional
9.8%
Exceptional
9.7%
Seniors Over 75 years
Exceptional
11.1%
Exceptional
11.2%
Receiving Food Stamps
Exceptional
10.3%
Excellent
11.0%

Serbian vs Hungarian Unemployment

When considering unemployment, the most significant differences between Serbian and Hungarian communities in the United States are seen in unemployment among seniors over 75 years (8.4% compared to 10.1%, a difference of 19.7%), unemployment among women with children under 6 years (7.3% compared to 7.8%, a difference of 7.2%), and unemployment among women with children ages 6 to 17 years (8.8% compared to 9.3%, a difference of 6.2%). Conversely, both communities are more comparable in terms of female unemployment (4.9% compared to 4.9%, a difference of 0.87%), unemployment (4.9% compared to 5.0%, a difference of 1.1%), and male unemployment (5.1% compared to 5.2%, a difference of 2.1%).
Serbian vs Hungarian Unemployment
Unemployment MetricSerbianHungarian
Unemployment
Exceptional
4.9%
Exceptional
5.0%
Males
Exceptional
5.1%
Excellent
5.2%
Females
Exceptional
4.9%
Exceptional
4.9%
Youth < 25
Exceptional
11.0%
Excellent
11.4%
Age | 16 to 19 years
Exceptional
16.7%
Exceptional
17.1%
Age | 20 to 24 years
Exceptional
9.8%
Good
10.2%
Age | 25 to 29 years
Exceptional
6.4%
Fair
6.8%
Age | 30 to 34 years
Good
5.4%
Average
5.5%
Age | 35 to 44 years
Exceptional
4.4%
Good
4.6%
Age | 45 to 54 years
Exceptional
4.3%
Good
4.5%
Age | 55 to 59 years
Exceptional
4.7%
Average
4.8%
Age | 60 to 64 years
Exceptional
4.7%
Average
4.9%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
5.5%
Seniors > 65
Exceptional
5.0%
Tragic
5.3%
Seniors > 75
Exceptional
8.4%
Tragic
10.1%
Women w/ Children < 6
Exceptional
7.3%
Fair
7.8%
Women w/ Children 6 to 17
Excellent
8.8%
Tragic
9.3%
Women w/ Children < 18
Exceptional
5.1%
Excellent
5.3%

Serbian vs Hungarian Labor Participation

When considering labor participation, the most significant differences between Serbian and Hungarian communities in the United States are seen in in labor force | age > 16 (65.2% compared to 63.8%, a difference of 2.2%), in labor force | age 30-34 (85.8% compared to 84.5%, a difference of 1.5%), and in labor force | age 20-64 (80.3% compared to 79.2%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (39.9% compared to 39.8%, a difference of 0.27%), in labor force | age 45-54 (83.4% compared to 82.7%, a difference of 0.88%), and in labor force | age 25-29 (85.5% compared to 84.6%, a difference of 0.97%).
Serbian vs Hungarian Labor Participation
Labor Participation MetricSerbianHungarian
In Labor Force | Age > 16
Good
65.2%
Tragic
63.8%
In Labor Force | Age 20-64
Exceptional
80.3%
Tragic
79.2%
In Labor Force | Age 16-19
Exceptional
39.9%
Exceptional
39.8%
In Labor Force | Age 20-24
Exceptional
77.3%
Exceptional
76.3%
In Labor Force | Age 25-29
Exceptional
85.5%
Average
84.6%
In Labor Force | Age 30-34
Exceptional
85.8%
Fair
84.5%
In Labor Force | Age 35-44
Exceptional
85.1%
Fair
84.2%
In Labor Force | Age 45-54
Exceptional
83.4%
Fair
82.7%

Serbian vs Hungarian Family Structure

When considering family structure, the most significant differences between Serbian and Hungarian communities in the United States are seen in family households with children (26.4% compared to 27.6%, a difference of 4.8%), married-couple households (47.0% compared to 49.1%, a difference of 4.5%), and family households (63.0% compared to 64.9%, a difference of 2.9%). Conversely, both communities are more comparable in terms of divorced or separated (12.0% compared to 12.0%, a difference of 0.50%), single father households (2.2% compared to 2.2%, a difference of 0.88%), and single mother households (5.7% compared to 5.7%, a difference of 0.97%).
Serbian vs Hungarian Family Structure
Family Structure MetricSerbianHungarian
Family Households
Tragic
63.0%
Exceptional
64.9%
Family Households with Children
Tragic
26.4%
Good
27.6%
Married-couple Households
Good
47.0%
Exceptional
49.1%
Average Family Size
Tragic
3.12
Tragic
3.18
Single Father Households
Exceptional
2.2%
Exceptional
2.2%
Single Mother Households
Exceptional
5.7%
Exceptional
5.7%
Currently Married
Exceptional
47.8%
Exceptional
48.8%
Divorced or Separated
Average
12.0%
Good
12.0%
Births to Unmarried Women
Good
30.7%
Good
31.2%

Serbian vs Hungarian Vehicle Availability

When considering vehicle availability, the most significant differences between Serbian and Hungarian communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 6.4%, a difference of 6.8%), no vehicles in household (9.4% compared to 9.9%, a difference of 5.3%), and 3 or more vehicles in household (19.1% compared to 19.8%, a difference of 3.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.7% compared to 90.3%, a difference of 0.37%), 2 or more vehicles in household (56.1% compared to 56.5%, a difference of 0.68%), and 3 or more vehicles in household (19.1% compared to 19.8%, a difference of 3.9%).
Serbian vs Hungarian Vehicle Availability
Vehicle Availability MetricSerbianHungarian
No Vehicles Available
Exceptional
9.4%
Excellent
9.9%
1+ Vehicles Available
Exceptional
90.7%
Excellent
90.3%
2+ Vehicles Available
Excellent
56.1%
Excellent
56.5%
3+ Vehicles Available
Fair
19.1%
Good
19.8%
4+ Vehicles Available
Poor
6.0%
Good
6.4%

Serbian vs Hungarian Education Level

When considering education level, the most significant differences between Serbian and Hungarian communities in the United States are seen in no schooling completed (1.7% compared to 1.6%, a difference of 5.0%), bachelor's degree (40.1% compared to 38.3%, a difference of 4.8%), and doctorate degree (2.0% compared to 1.9%, a difference of 4.0%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (92.8% compared to 92.8%, a difference of 0.0%), nursery school (98.4% compared to 98.5%, a difference of 0.090%), and kindergarten (98.4% compared to 98.5%, a difference of 0.090%).
Serbian vs Hungarian Education Level
Education Level MetricSerbianHungarian
No Schooling Completed
Exceptional
1.7%
Exceptional
1.6%
Nursery School
Exceptional
98.4%
Exceptional
98.5%
Kindergarten
Exceptional
98.4%
Exceptional
98.5%
1st Grade
Exceptional
98.3%
Exceptional
98.4%
2nd Grade
Exceptional
98.3%
Exceptional
98.4%
3rd Grade
Exceptional
98.2%
Exceptional
98.3%
4th Grade
Exceptional
98.1%
Exceptional
98.2%
5th Grade
Exceptional
97.9%
Exceptional
98.0%
6th Grade
Exceptional
97.7%
Exceptional
97.8%
7th Grade
Exceptional
97.0%
Exceptional
97.2%
8th Grade
Exceptional
96.7%
Exceptional
97.0%
9th Grade
Exceptional
96.0%
Exceptional
96.2%
10th Grade
Exceptional
95.1%
Exceptional
95.3%
11th Grade
Exceptional
94.1%
Exceptional
94.2%
12th Grade, No Diploma
Exceptional
92.8%
Exceptional
92.8%
High School Diploma
Exceptional
91.1%
Exceptional
90.8%
GED/Equivalency
Exceptional
87.9%
Exceptional
87.4%
College, Under 1 year
Exceptional
67.4%
Average
65.6%
College, 1 year or more
Exceptional
61.4%
Average
59.5%
Associate's Degree
Exceptional
48.5%
Average
46.7%
Bachelor's Degree
Exceptional
40.1%
Good
38.3%
Master's Degree
Exceptional
16.1%
Good
15.6%
Professional Degree
Exceptional
4.8%
Excellent
4.6%
Doctorate Degree
Excellent
2.0%
Good
1.9%

Serbian vs Hungarian Disability

When considering disability, the most significant differences between Serbian and Hungarian communities in the United States are seen in disability age under 5 (1.3% compared to 1.5%, a difference of 18.8%), disability age 5 to 17 (5.6% compared to 5.8%, a difference of 4.7%), and disability age 18 to 34 (6.9% compared to 7.1%, a difference of 3.9%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.1%, a difference of 0.21%), disability age 65 to 74 (22.3% compared to 22.4%, a difference of 0.70%), and disability age over 75 (46.1% compared to 46.5%, a difference of 0.89%).
Serbian vs Hungarian Disability
Disability MetricSerbianHungarian
Disability
Poor
11.9%
Tragic
12.2%
Males
Poor
11.5%
Tragic
12.0%
Females
Fair
12.3%
Tragic
12.5%
Age | Under 5 years
Tragic
1.3%
Tragic
1.5%
Age | 5 to 17 years
Average
5.6%
Tragic
5.8%
Age | 18 to 34 years
Tragic
6.9%
Tragic
7.1%
Age | 35 to 64 years
Good
11.0%
Fair
11.4%
Age | 65 to 74 years
Exceptional
22.3%
Exceptional
22.4%
Age | Over 75 years
Exceptional
46.1%
Exceptional
46.5%
Vision
Good
2.1%
Good
2.1%
Hearing
Tragic
3.3%
Tragic
3.4%
Cognitive
Exceptional
16.7%
Exceptional
16.5%
Ambulatory
Average
6.1%
Tragic
6.3%
Self-Care
Exceptional
2.4%
Average
2.5%