Hungarian vs Bangladeshi Community Comparison

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

Social Comparison

Hungarians

Bangladeshis

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

Bangladeshi Integration in Hungarian Communities

The statistical analysis conducted on geographies consisting of 136,657,013 people shows a very strong positive correlation between the proportion of Bangladeshis within Hungarian communities in the United States with a correlation coefficient (R) of 0.818. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 1.195% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to an increase of 1,194.9 Bangladeshis.
Hungarian Integration in Bangladeshi Communities

Hungarian vs Bangladeshi Income

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

Hungarian vs Bangladeshi Poverty

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

Hungarian vs Bangladeshi Unemployment

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

Hungarian vs Bangladeshi Labor Participation

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

Hungarian vs Bangladeshi Family Structure

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

Hungarian vs Bangladeshi Vehicle Availability

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

Hungarian vs Bangladeshi Education Level

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

Hungarian vs Bangladeshi Disability

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