Burmese vs Hungarian Community Comparison

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Burmese
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 IndianBulgarianCajunCambodianCanadianCape 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

Burmese

Hungarians

Exceptional
Good
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
6,572
SOCIAL INDEX
63.2/ 100
SOCIAL RATING
149th/ 347
SOCIAL RANK

Hungarian Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 425,148,424 people shows a slight positive correlation between the proportion of Hungarians within Burmese communities in the United States with a correlation coefficient (R) of 0.093. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.002% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 2.4 Hungarians.
Burmese Integration in Hungarian Communities

Burmese vs Hungarian Income

When considering income, the most significant differences between Burmese and Hungarian communities in the United States are seen in median household income ($103,145 compared to $86,920, a difference of 18.7%), householder income ages 45 - 64 years ($121,444 compared to $103,913, a difference of 16.9%), and median family income ($123,369 compared to $105,609, a difference of 16.8%). Conversely, both communities are more comparable in terms of wage/income gap (28.0% compared to 29.0%, a difference of 3.6%), householder income under 25 years ($54,800 compared to $50,247, a difference of 9.1%), and median female earnings ($44,911 compared to $39,510, a difference of 13.7%).
Burmese vs Hungarian Income
Income MetricBurmeseHungarian
Per Capita Income
Exceptional
$52,005
Excellent
$45,426
Median Family Income
Exceptional
$123,369
Excellent
$105,609
Median Household Income
Exceptional
$103,145
Good
$86,920
Median Earnings
Exceptional
$54,559
Excellent
$47,795
Median Male Earnings
Exceptional
$65,236
Exceptional
$57,309
Median Female Earnings
Exceptional
$44,911
Average
$39,510
Householder Age | Under 25 years
Exceptional
$54,800
Tragic
$50,247
Householder Age | 25 - 44 years
Exceptional
$113,701
Excellent
$97,544
Householder Age | 45 - 64 years
Exceptional
$121,444
Excellent
$103,913
Householder Age | Over 65 years
Exceptional
$71,139
Good
$61,673
Wage/Income Gap
Tragic
28.0%
Tragic
29.0%

Burmese vs Hungarian Poverty

When considering poverty, the most significant differences between Burmese and Hungarian communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 17.9%, a difference of 35.3%), receiving food stamps (8.6% compared to 11.0%, a difference of 27.4%), and child poverty among girls under 16 (13.0% compared to 16.6%, a difference of 27.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.1% compared to 9.7%, a difference of 3.9%), seniors poverty over the age of 75 (11.7% compared to 11.2%, a difference of 4.2%), and female poverty among 18-24 year olds (18.9% compared to 19.8%, a difference of 4.8%).
Burmese vs Hungarian Poverty
Poverty MetricBurmeseHungarian
Poverty
Exceptional
10.7%
Good
12.2%
Families
Exceptional
7.3%
Good
8.8%
Males
Exceptional
9.7%
Average
11.1%
Females
Exceptional
11.6%
Good
13.2%
Females 18 to 24 years
Exceptional
18.9%
Good
19.8%
Females 25 to 34 years
Exceptional
11.2%
Poor
14.1%
Children Under 5 years
Exceptional
13.2%
Poor
17.9%
Children Under 16 years
Exceptional
12.8%
Average
16.2%
Boys Under 16 years
Exceptional
13.0%
Average
16.5%
Girls Under 16 years
Exceptional
13.0%
Average
16.6%
Single Males
Exceptional
11.7%
Tragic
13.8%
Single Females
Exceptional
18.3%
Fair
21.1%
Single Fathers
Exceptional
15.5%
Tragic
18.5%
Single Mothers
Exceptional
26.2%
Poor
29.9%
Married Couples
Exceptional
4.3%
Fair
5.3%
Seniors Over 65 years
Exceptional
10.1%
Exceptional
9.7%
Seniors Over 75 years
Excellent
11.7%
Exceptional
11.2%
Receiving Food Stamps
Exceptional
8.6%
Excellent
11.0%

Burmese vs Hungarian Unemployment

When considering unemployment, the most significant differences between Burmese and Hungarian communities in the United States are seen in unemployment among seniors over 75 years (8.2% compared to 10.1%, a difference of 23.4%), unemployment among women with children under 6 years (6.5% compared to 7.8%, a difference of 20.5%), and unemployment among women with children ages 6 to 17 years (8.0% compared to 9.3%, a difference of 17.0%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.3% compared to 11.4%, a difference of 0.41%), unemployment among ages 20 to 24 years (10.2% compared to 10.2%, a difference of 0.44%), and unemployment among ages 16 to 19 years (17.0% compared to 17.1%, a difference of 0.67%).
Burmese vs Hungarian Unemployment
Unemployment MetricBurmeseHungarian
Unemployment
Exceptional
4.9%
Exceptional
5.0%
Males
Exceptional
4.9%
Excellent
5.2%
Females
Exceptional
5.0%
Exceptional
4.9%
Youth < 25
Excellent
11.3%
Excellent
11.4%
Age | 16 to 19 years
Exceptional
17.0%
Exceptional
17.1%
Age | 20 to 24 years
Excellent
10.2%
Good
10.2%
Age | 25 to 29 years
Exceptional
6.2%
Fair
6.8%
Age | 30 to 34 years
Exceptional
5.1%
Average
5.5%
Age | 35 to 44 years
Exceptional
4.3%
Good
4.6%
Age | 45 to 54 years
Exceptional
4.2%
Good
4.5%
Age | 55 to 59 years
Exceptional
4.5%
Average
4.8%
Age | 60 to 64 years
Excellent
4.8%
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
8.2%
Tragic
10.1%
Women w/ Children < 6
Exceptional
6.5%
Fair
7.8%
Women w/ Children 6 to 17
Exceptional
8.0%
Tragic
9.3%
Women w/ Children < 18
Exceptional
4.9%
Excellent
5.3%

Burmese vs Hungarian Labor Participation

When considering labor participation, the most significant differences between Burmese and Hungarian communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 39.8%, a difference of 15.5%), in labor force | age > 16 (66.2% compared to 63.8%, a difference of 3.7%), and in labor force | age 20-24 (73.6% compared to 76.3%, a difference of 3.7%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 84.2%, a difference of 0.55%), in labor force | age 25-29 (85.1% compared to 84.6%, a difference of 0.60%), and in labor force | age 30-34 (85.3% compared to 84.5%, a difference of 0.87%).
Burmese vs Hungarian Labor Participation
Labor Participation MetricBurmeseHungarian
In Labor Force | Age > 16
Exceptional
66.2%
Tragic
63.8%
In Labor Force | Age 20-64
Exceptional
80.3%
Tragic
79.2%
In Labor Force | Age 16-19
Tragic
34.5%
Exceptional
39.8%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
76.3%
In Labor Force | Age 25-29
Exceptional
85.1%
Average
84.6%
In Labor Force | Age 30-34
Exceptional
85.3%
Fair
84.5%
In Labor Force | Age 35-44
Exceptional
84.7%
Fair
84.2%
In Labor Force | Age 45-54
Exceptional
83.6%
Fair
82.7%

Burmese vs Hungarian Family Structure

When considering family structure, the most significant differences between Burmese and Hungarian communities in the United States are seen in births to unmarried women (26.4% compared to 31.2%, a difference of 18.5%), divorced or separated (10.7% compared to 12.0%, a difference of 11.7%), and single mother households (5.3% compared to 5.7%, a difference of 7.3%). Conversely, both communities are more comparable in terms of currently married (48.9% compared to 48.8%, a difference of 0.24%), average family size (3.22 compared to 3.18, a difference of 1.2%), and family households (65.7% compared to 64.9%, a difference of 1.3%).
Burmese vs Hungarian Family Structure
Family Structure MetricBurmeseHungarian
Family Households
Exceptional
65.7%
Exceptional
64.9%
Family Households with Children
Exceptional
28.5%
Good
27.6%
Married-couple Households
Exceptional
49.8%
Exceptional
49.1%
Average Family Size
Fair
3.22
Tragic
3.18
Single Father Households
Exceptional
2.0%
Exceptional
2.2%
Single Mother Households
Exceptional
5.3%
Exceptional
5.7%
Currently Married
Exceptional
48.9%
Exceptional
48.8%
Divorced or Separated
Exceptional
10.7%
Good
12.0%
Births to Unmarried Women
Exceptional
26.4%
Good
31.2%

Burmese vs Hungarian Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Hungarian communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 6.4%, a difference of 6.7%), 3 or more vehicles in household (20.6% compared to 19.8%, a difference of 4.2%), and no vehicles in household (9.7% compared to 9.9%, a difference of 2.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 90.3%, a difference of 0.090%), 2 or more vehicles in household (57.8% compared to 56.5%, a difference of 2.3%), and no vehicles in household (9.7% compared to 9.9%, a difference of 2.5%).
Burmese vs Hungarian Vehicle Availability
Vehicle Availability MetricBurmeseHungarian
No Vehicles Available
Excellent
9.7%
Excellent
9.9%
1+ Vehicles Available
Excellent
90.4%
Excellent
90.3%
2+ Vehicles Available
Exceptional
57.8%
Excellent
56.5%
3+ Vehicles Available
Exceptional
20.6%
Good
19.8%
4+ Vehicles Available
Exceptional
6.8%
Good
6.4%

Burmese vs Hungarian Education Level

When considering education level, the most significant differences between Burmese and Hungarian communities in the United States are seen in doctorate degree (2.6% compared to 1.9%, a difference of 38.6%), professional degree (6.1% compared to 4.6%, a difference of 32.5%), and master's degree (19.7% compared to 15.6%, a difference of 26.6%). Conversely, both communities are more comparable in terms of high school diploma (90.8% compared to 90.8%, a difference of 0.010%), 12th grade, no diploma (92.6% compared to 92.8%, a difference of 0.24%), and nursery school (98.1% compared to 98.5%, a difference of 0.39%).
Burmese vs Hungarian Education Level
Education Level MetricBurmeseHungarian
No Schooling Completed
Excellent
1.9%
Exceptional
1.6%
Nursery School
Excellent
98.1%
Exceptional
98.5%
Kindergarten
Excellent
98.1%
Exceptional
98.5%
1st Grade
Excellent
98.0%
Exceptional
98.4%
2nd Grade
Excellent
98.0%
Exceptional
98.4%
3rd Grade
Good
97.9%
Exceptional
98.3%
4th Grade
Excellent
97.7%
Exceptional
98.2%
5th Grade
Excellent
97.5%
Exceptional
98.0%
6th Grade
Excellent
97.3%
Exceptional
97.8%
7th Grade
Excellent
96.3%
Exceptional
97.2%
8th Grade
Exceptional
96.1%
Exceptional
97.0%
9th Grade
Exceptional
95.4%
Exceptional
96.2%
10th Grade
Exceptional
94.5%
Exceptional
95.3%
11th Grade
Exceptional
93.6%
Exceptional
94.2%
12th Grade, No Diploma
Exceptional
92.6%
Exceptional
92.8%
High School Diploma
Exceptional
90.8%
Exceptional
90.8%
GED/Equivalency
Exceptional
88.3%
Exceptional
87.4%
College, Under 1 year
Exceptional
71.9%
Average
65.6%
College, 1 year or more
Exceptional
66.7%
Average
59.5%
Associate's Degree
Exceptional
54.6%
Average
46.7%
Bachelor's Degree
Exceptional
46.9%
Good
38.3%
Master's Degree
Exceptional
19.7%
Good
15.6%
Professional Degree
Exceptional
6.1%
Excellent
4.6%
Doctorate Degree
Exceptional
2.6%
Good
1.9%

Burmese vs Hungarian Disability

When considering disability, the most significant differences between Burmese and Hungarian communities in the United States are seen in disability age under 5 (1.1% compared to 1.5%, a difference of 37.9%), disability age 35 to 64 (9.2% compared to 11.4%, a difference of 23.9%), and disability age 5 to 17 (4.8% compared to 5.8%, a difference of 22.4%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.5%, a difference of 1.2%), disability age over 75 (45.9% compared to 46.5%, a difference of 1.4%), and disability age 65 to 74 (20.6% compared to 22.4%, a difference of 8.8%).
Burmese vs Hungarian Disability
Disability MetricBurmeseHungarian
Disability
Exceptional
10.4%
Tragic
12.2%
Males
Exceptional
10.0%
Tragic
12.0%
Females
Exceptional
10.7%
Tragic
12.5%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.5%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
7.1%
Age | 35 to 64 years
Exceptional
9.2%
Fair
11.4%
Age | 65 to 74 years
Exceptional
20.6%
Exceptional
22.4%
Age | Over 75 years
Exceptional
45.9%
Exceptional
46.5%
Vision
Exceptional
1.8%
Good
2.1%
Hearing
Exceptional
2.8%
Tragic
3.4%
Cognitive
Exceptional
16.7%
Exceptional
16.5%
Ambulatory
Exceptional
5.3%
Tragic
6.3%
Self-Care
Exceptional
2.3%
Average
2.5%