Bangladeshi vs Hungarian Community Comparison

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Bangladeshi
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/SyriacAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish 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-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

Bangladeshis

Hungarians

Fair
Good
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
6,572
SOCIAL INDEX
63.2/ 100
SOCIAL RATING
149th/ 347
SOCIAL RANK

Hungarian Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 136,656,855 people shows no correlation between the proportion of Hungarians within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.028. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.001% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 0.6 Hungarians.
Bangladeshi Integration in Hungarian Communities

Bangladeshi vs Hungarian Income

When considering income, the most significant differences between Bangladeshi and Hungarian communities in the United States are seen in wage/income gap (22.2% compared to 29.0%, a difference of 30.9%), per capita income ($35,897 compared to $45,426, a difference of 26.6%), and median male earnings ($46,744 compared to $57,309, a difference of 22.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,589 compared to $50,247, a difference of 5.6%), median female earnings ($35,960 compared to $39,510, a difference of 9.9%), and householder income over 65 years ($54,719 compared to $61,673, a difference of 12.7%).
Bangladeshi vs Hungarian Income
Income MetricBangladeshiHungarian
Per Capita Income
Tragic
$35,897
Excellent
$45,426
Median Family Income
Tragic
$88,358
Excellent
$105,609
Median Household Income
Tragic
$74,112
Good
$86,920
Median Earnings
Tragic
$41,263
Excellent
$47,795
Median Male Earnings
Tragic
$46,744
Exceptional
$57,309
Median Female Earnings
Tragic
$35,960
Average
$39,510
Householder Age | Under 25 years
Tragic
$47,589
Tragic
$50,247
Householder Age | 25 - 44 years
Tragic
$81,363
Excellent
$97,544
Householder Age | 45 - 64 years
Tragic
$86,402
Excellent
$103,913
Householder Age | Over 65 years
Tragic
$54,719
Good
$61,673
Wage/Income Gap
Exceptional
22.2%
Tragic
29.0%

Bangladeshi vs Hungarian Poverty

When considering poverty, the most significant differences between Bangladeshi and Hungarian communities in the United States are seen in receiving food stamps (15.0% compared to 11.0%, a difference of 36.5%), family poverty (10.9% compared to 8.8%, a difference of 23.9%), and child poverty under the age of 16 (19.9% compared to 16.2%, a difference of 23.2%). Conversely, both communities are more comparable in terms of single male poverty (13.3% compared to 13.8%, a difference of 3.3%), single mother poverty (31.7% compared to 29.9%, a difference of 6.0%), and seniors poverty over the age of 75 (12.0% compared to 11.2%, a difference of 6.9%).
Bangladeshi vs Hungarian Poverty
Poverty MetricBangladeshiHungarian
Poverty
Tragic
14.8%
Good
12.2%
Families
Tragic
10.9%
Good
8.8%
Males
Tragic
13.6%
Average
11.1%
Females
Tragic
16.0%
Good
13.2%
Females 18 to 24 years
Tragic
22.5%
Good
19.8%
Females 25 to 34 years
Tragic
15.9%
Poor
14.1%
Children Under 5 years
Tragic
20.6%
Poor
17.9%
Children Under 16 years
Tragic
19.9%
Average
16.2%
Boys Under 16 years
Tragic
20.0%
Average
16.5%
Girls Under 16 years
Tragic
20.0%
Average
16.6%
Single Males
Tragic
13.3%
Tragic
13.8%
Single Females
Tragic
24.2%
Fair
21.1%
Single Fathers
Exceptional
15.2%
Tragic
18.5%
Single Mothers
Tragic
31.7%
Poor
29.9%
Married Couples
Tragic
6.0%
Fair
5.3%
Seniors Over 65 years
Fair
11.2%
Exceptional
9.7%
Seniors Over 75 years
Good
12.0%
Exceptional
11.2%
Receiving Food Stamps
Tragic
15.0%
Excellent
11.0%

Bangladeshi vs Hungarian Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Hungarian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 9.3%, a difference of 26.6%), male unemployment (5.7% compared to 5.2%, a difference of 9.9%), and unemployment (5.4% compared to 5.0%, a difference of 9.0%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.71%), unemployment among ages 16 to 19 years (16.9% compared to 17.1%, a difference of 0.90%), and unemployment among youth under 25 years (11.6% compared to 11.4%, a difference of 1.6%).
Bangladeshi vs Hungarian Unemployment
Unemployment MetricBangladeshiHungarian
Unemployment
Poor
5.4%
Exceptional
5.0%
Males
Tragic
5.7%
Excellent
5.2%
Females
Good
5.2%
Exceptional
4.9%
Youth < 25
Average
11.6%
Excellent
11.4%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
17.1%
Age | 20 to 24 years
Exceptional
10.0%
Good
10.2%
Age | 25 to 29 years
Average
6.6%
Fair
6.8%
Age | 30 to 34 years
Good
5.3%
Average
5.5%
Age | 35 to 44 years
Fair
4.8%
Good
4.6%
Age | 45 to 54 years
Average
4.5%
Good
4.5%
Age | 55 to 59 years
Exceptional
4.7%
Average
4.8%
Age | 60 to 64 years
Exceptional
4.6%
Average
4.9%
Age | 65 to 74 years
Good
5.3%
Tragic
5.5%
Seniors > 65
Fair
5.2%
Tragic
5.3%
Seniors > 75
Tragic
9.6%
Tragic
10.1%
Women w/ Children < 6
Good
7.5%
Fair
7.8%
Women w/ Children 6 to 17
Exceptional
7.4%
Tragic
9.3%
Women w/ Children < 18
Good
5.3%
Excellent
5.3%

Bangladeshi vs Hungarian Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Hungarian communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 39.8%, a difference of 6.6%), in labor force | age > 16 (65.9% compared to 63.8%, a difference of 3.3%), and in labor force | age 20-24 (78.1% compared to 76.3%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.1% compared to 84.2%, a difference of 0.14%), in labor force | age 20-64 (79.3% compared to 79.2%, a difference of 0.19%), and in labor force | age 30-34 (84.3% compared to 84.5%, a difference of 0.21%).
Bangladeshi vs Hungarian Labor Participation
Labor Participation MetricBangladeshiHungarian
In Labor Force | Age > 16
Exceptional
65.9%
Tragic
63.8%
In Labor Force | Age 20-64
Poor
79.3%
Tragic
79.2%
In Labor Force | Age 16-19
Exceptional
42.5%
Exceptional
39.8%
In Labor Force | Age 20-24
Exceptional
78.1%
Exceptional
76.3%
In Labor Force | Age 25-29
Exceptional
85.1%
Average
84.6%
In Labor Force | Age 30-34
Tragic
84.3%
Fair
84.5%
In Labor Force | Age 35-44
Poor
84.1%
Fair
84.2%
In Labor Force | Age 45-54
Tragic
81.3%
Fair
82.7%

Bangladeshi vs Hungarian Family Structure

When considering family structure, the most significant differences between Bangladeshi and Hungarian communities in the United States are seen in single mother households (8.1% compared to 5.7%, a difference of 43.5%), single father households (3.1% compared to 2.2%, a difference of 41.4%), and married-couple households (43.5% compared to 49.1%, a difference of 12.7%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 64.9%, a difference of 1.0%), divorced or separated (12.3% compared to 12.0%, a difference of 2.6%), and average family size (3.37 compared to 3.18, a difference of 6.0%).
Bangladeshi vs Hungarian Family Structure
Family Structure MetricBangladeshiHungarian
Family Households
Average
64.3%
Exceptional
64.9%
Family Households with Children
Exceptional
30.1%
Good
27.6%
Married-couple Households
Tragic
43.5%
Exceptional
49.1%
Average Family Size
Exceptional
3.37
Tragic
3.18
Single Father Households
Tragic
3.1%
Exceptional
2.2%
Single Mother Households
Tragic
8.1%
Exceptional
5.7%
Currently Married
Tragic
43.7%
Exceptional
48.8%
Divorced or Separated
Poor
12.3%
Good
12.0%
Births to Unmarried Women
Tragic
34.4%
Good
31.2%

Bangladeshi vs Hungarian Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Hungarian communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.4%, a difference of 18.0%), no vehicles in household (8.7% compared to 9.9%, a difference of 14.4%), and 3 or more vehicles in household (21.9% compared to 19.8%, a difference of 10.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 90.3%, a difference of 1.1%), 2 or more vehicles in household (58.4% compared to 56.5%, a difference of 3.4%), and 3 or more vehicles in household (21.9% compared to 19.8%, a difference of 10.3%).
Bangladeshi vs Hungarian Vehicle Availability
Vehicle Availability MetricBangladeshiHungarian
No Vehicles Available
Exceptional
8.7%
Excellent
9.9%
1+ Vehicles Available
Exceptional
91.4%
Excellent
90.3%
2+ Vehicles Available
Exceptional
58.4%
Excellent
56.5%
3+ Vehicles Available
Exceptional
21.9%
Good
19.8%
4+ Vehicles Available
Exceptional
7.6%
Good
6.4%

Bangladeshi vs Hungarian Education Level

When considering education level, the most significant differences between Bangladeshi and Hungarian communities in the United States are seen in no schooling completed (3.5% compared to 1.6%, a difference of 122.4%), doctorate degree (1.2% compared to 1.9%, a difference of 57.0%), and professional degree (3.1% compared to 4.6%, a difference of 50.1%). Conversely, both communities are more comparable in terms of kindergarten (96.6% compared to 98.5%, a difference of 1.9%), nursery school (96.6% compared to 98.5%, a difference of 2.0%), and 1st grade (96.5% compared to 98.4%, a difference of 2.0%).
Bangladeshi vs Hungarian Education Level
Education Level MetricBangladeshiHungarian
No Schooling Completed
Tragic
3.5%
Exceptional
1.6%
Nursery School
Tragic
96.6%
Exceptional
98.5%
Kindergarten
Tragic
96.6%
Exceptional
98.5%
1st Grade
Tragic
96.5%
Exceptional
98.4%
2nd Grade
Tragic
96.5%
Exceptional
98.4%
3rd Grade
Tragic
96.3%
Exceptional
98.3%
4th Grade
Tragic
96.1%
Exceptional
98.2%
5th Grade
Tragic
95.9%
Exceptional
98.0%
6th Grade
Tragic
95.7%
Exceptional
97.8%
7th Grade
Tragic
94.5%
Exceptional
97.2%
8th Grade
Tragic
94.3%
Exceptional
97.0%
9th Grade
Tragic
93.4%
Exceptional
96.2%
10th Grade
Tragic
92.2%
Exceptional
95.3%
11th Grade
Tragic
90.9%
Exceptional
94.2%
12th Grade, No Diploma
Tragic
89.3%
Exceptional
92.8%
High School Diploma
Tragic
86.9%
Exceptional
90.8%
GED/Equivalency
Tragic
83.1%
Exceptional
87.4%
College, Under 1 year
Tragic
61.4%
Average
65.6%
College, 1 year or more
Tragic
54.5%
Average
59.5%
Associate's Degree
Tragic
40.0%
Average
46.7%
Bachelor's Degree
Tragic
30.2%
Good
38.3%
Master's Degree
Tragic
10.5%
Good
15.6%
Professional Degree
Tragic
3.1%
Excellent
4.6%
Doctorate Degree
Tragic
1.2%
Good
1.9%

Bangladeshi vs Hungarian Disability

When considering disability, the most significant differences between Bangladeshi and Hungarian communities in the United States are seen in disability age under 5 (1.3% compared to 1.5%, a difference of 20.2%), disability age 65 to 74 (26.8% compared to 22.4%, a difference of 19.6%), and disability age 35 to 64 (13.6% compared to 11.4%, a difference of 19.4%). Conversely, both communities are more comparable in terms of ambulatory disability (6.3% compared to 6.3%, a difference of 0.58%), male disability (12.0% compared to 12.0%, a difference of 0.59%), and disability age 5 to 17 (5.8% compared to 5.8%, a difference of 0.73%).
Bangladeshi vs Hungarian Disability
Disability MetricBangladeshiHungarian
Disability
Tragic
12.6%
Tragic
12.2%
Males
Tragic
12.0%
Tragic
12.0%
Females
Tragic
13.1%
Tragic
12.5%
Age | Under 5 years
Poor
1.3%
Tragic
1.5%
Age | 5 to 17 years
Tragic
5.8%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.4%
Tragic
7.1%
Age | 35 to 64 years
Tragic
13.6%
Fair
11.4%
Age | 65 to 74 years
Tragic
26.8%
Exceptional
22.4%
Age | Over 75 years
Tragic
49.4%
Exceptional
46.5%
Vision
Tragic
2.3%
Good
2.1%
Hearing
Tragic
3.2%
Tragic
3.4%
Cognitive
Tragic
18.6%
Exceptional
16.5%
Ambulatory
Poor
6.3%
Tragic
6.3%
Self-Care
Tragic
2.8%
Average
2.5%