Hungarian vs Burmese Community Comparison

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

Social Comparison

Hungarians

Burmese

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

Burmese Integration in Hungarian Communities

The statistical analysis conducted on geographies consisting of 425,176,102 people shows a poor positive correlation between the proportion of Burmese within Hungarian communities in the United States with a correlation coefficient (R) of 0.163. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.008% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to an increase of 8.4 Burmese.
Hungarian Integration in Burmese Communities

Hungarian vs Burmese Income

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

Hungarian vs Burmese Poverty

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

Hungarian vs Burmese Unemployment

When considering unemployment, the most significant differences between Hungarian and Burmese communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 8.2%, a difference of 23.4%), unemployment among women with children under 6 years (7.8% compared to 6.5%, a difference of 20.5%), and unemployment among women with children ages 6 to 17 years (9.3% compared to 8.0%, a difference of 17.0%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.4% compared to 11.3%, 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 (17.1% compared to 17.0%, a difference of 0.67%).
Hungarian vs Burmese Unemployment
Unemployment MetricHungarianBurmese
Unemployment
Exceptional
5.0%
Exceptional
4.9%
Males
Excellent
5.2%
Exceptional
4.9%
Females
Exceptional
4.9%
Exceptional
5.0%
Youth < 25
Excellent
11.4%
Excellent
11.3%
Age | 16 to 19 years
Exceptional
17.1%
Exceptional
17.0%
Age | 20 to 24 years
Good
10.2%
Excellent
10.2%
Age | 25 to 29 years
Fair
6.8%
Exceptional
6.2%
Age | 30 to 34 years
Average
5.5%
Exceptional
5.1%
Age | 35 to 44 years
Good
4.6%
Exceptional
4.3%
Age | 45 to 54 years
Good
4.5%
Exceptional
4.2%
Age | 55 to 59 years
Average
4.8%
Exceptional
4.5%
Age | 60 to 64 years
Average
4.9%
Excellent
4.8%
Age | 65 to 74 years
Tragic
5.5%
Exceptional
5.2%
Seniors > 65
Tragic
5.3%
Exceptional
5.0%
Seniors > 75
Tragic
10.1%
Exceptional
8.2%
Women w/ Children < 6
Fair
7.8%
Exceptional
6.5%
Women w/ Children 6 to 17
Tragic
9.3%
Exceptional
8.0%
Women w/ Children < 18
Excellent
5.3%
Exceptional
4.9%

Hungarian vs Burmese Labor Participation

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

Hungarian vs Burmese Family Structure

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

Hungarian vs Burmese Vehicle Availability

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

Hungarian vs Burmese Education Level

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

Hungarian vs Burmese Disability

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