Hungarian vs Immigrants from Bangladesh Community Comparison

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Hungarian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican 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
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBarbadosBelarusBelgiumBelizeBoliviaBosnia 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
Immigrants from Bangladesh
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

Immigrants from Bangladesh

Good
Poor
6,572
SOCIAL INDEX
63.2/ 100
SOCIAL RATING
149th/ 347
SOCIAL RANK
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK

Immigrants from Bangladesh Integration in Hungarian Communities

The statistical analysis conducted on geographies consisting of 196,226,398 people shows a weak negative correlation between the proportion of Immigrants from Bangladesh within Hungarian communities in the United States with a correlation coefficient (R) of -0.258. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is a decrease of 0.011% in Immigrants from Bangladesh. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to a decrease of 11.4 Immigrants from Bangladesh.
Hungarian Integration in Immigrants from Bangladesh Communities

Hungarian vs Immigrants from Bangladesh Income

When considering income, the most significant differences between Hungarian and Immigrants from Bangladesh communities in the United States are seen in wage/income gap (29.0% compared to 20.9%, a difference of 38.6%), householder income ages 45 - 64 years ($103,913 compared to $92,208, a difference of 12.7%), and median family income ($105,609 compared to $94,665, a difference of 11.6%). Conversely, both communities are more comparable in terms of median female earnings ($39,510 compared to $39,910, a difference of 1.0%), median earnings ($47,795 compared to $45,532, a difference of 5.0%), and median household income ($86,920 compared to $80,722, a difference of 7.7%).
Hungarian vs Immigrants from Bangladesh Income
Income MetricHungarianImmigrants from Bangladesh
Per Capita Income
Excellent
$45,426
Poor
$41,709
Median Family Income
Excellent
$105,609
Tragic
$94,665
Median Household Income
Good
$86,920
Tragic
$80,722
Median Earnings
Excellent
$47,795
Fair
$45,532
Median Male Earnings
Exceptional
$57,309
Tragic
$51,642
Median Female Earnings
Average
$39,510
Good
$39,910
Householder Age | Under 25 years
Tragic
$50,247
Exceptional
$54,714
Householder Age | 25 - 44 years
Excellent
$97,544
Tragic
$90,448
Householder Age | 45 - 64 years
Excellent
$103,913
Tragic
$92,208
Householder Age | Over 65 years
Good
$61,673
Tragic
$55,394
Wage/Income Gap
Tragic
29.0%
Exceptional
20.9%

Hungarian vs Immigrants from Bangladesh Poverty

When considering poverty, the most significant differences between Hungarian and Immigrants from Bangladesh communities in the United States are seen in seniors poverty over the age of 65 (9.7% compared to 14.1%, a difference of 45.1%), receiving food stamps (11.0% compared to 15.9%, a difference of 44.3%), and seniors poverty over the age of 75 (11.2% compared to 15.8%, a difference of 41.0%). Conversely, both communities are more comparable in terms of single mother poverty (29.9% compared to 31.1%, a difference of 4.1%), female poverty among 25-34 year olds (14.1% compared to 14.8%, a difference of 4.9%), and single female poverty (21.1% compared to 22.3%, a difference of 5.5%).
Hungarian vs Immigrants from Bangladesh Poverty
Poverty MetricHungarianImmigrants from Bangladesh
Poverty
Good
12.2%
Tragic
15.3%
Families
Good
8.8%
Tragic
11.7%
Males
Average
11.1%
Tragic
14.1%
Females
Good
13.2%
Tragic
16.4%
Females 18 to 24 years
Good
19.8%
Tragic
21.8%
Females 25 to 34 years
Poor
14.1%
Tragic
14.8%
Children Under 5 years
Poor
17.9%
Tragic
20.1%
Children Under 16 years
Average
16.2%
Tragic
19.8%
Boys Under 16 years
Average
16.5%
Tragic
19.9%
Girls Under 16 years
Average
16.6%
Tragic
19.9%
Single Males
Tragic
13.8%
Fair
13.0%
Single Females
Fair
21.1%
Tragic
22.3%
Single Fathers
Tragic
18.5%
Average
16.3%
Single Mothers
Poor
29.9%
Tragic
31.1%
Married Couples
Fair
5.3%
Tragic
7.5%
Seniors Over 65 years
Exceptional
9.7%
Tragic
14.1%
Seniors Over 75 years
Exceptional
11.2%
Tragic
15.8%
Receiving Food Stamps
Excellent
11.0%
Tragic
15.9%

Hungarian vs Immigrants from Bangladesh Unemployment

When considering unemployment, the most significant differences between Hungarian and Immigrants from Bangladesh communities in the United States are seen in female unemployment (4.9% compared to 6.5%, a difference of 30.7%), unemployment (5.0% compared to 6.5%, a difference of 29.9%), and male unemployment (5.2% compared to 6.6%, a difference of 27.2%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.3% compared to 8.8%, a difference of 5.4%), unemployment among ages 65 to 74 years (5.5% compared to 5.9%, a difference of 6.3%), and unemployment among seniors over 65 years (5.3% compared to 5.7%, a difference of 8.4%).
Hungarian vs Immigrants from Bangladesh Unemployment
Unemployment MetricHungarianImmigrants from Bangladesh
Unemployment
Exceptional
5.0%
Tragic
6.5%
Males
Excellent
5.2%
Tragic
6.6%
Females
Exceptional
4.9%
Tragic
6.5%
Youth < 25
Excellent
11.4%
Tragic
14.2%
Age | 16 to 19 years
Exceptional
17.1%
Tragic
21.5%
Age | 20 to 24 years
Good
10.2%
Tragic
12.6%
Age | 25 to 29 years
Fair
6.8%
Tragic
7.5%
Age | 30 to 34 years
Average
5.5%
Tragic
6.4%
Age | 35 to 44 years
Good
4.6%
Tragic
5.3%
Age | 45 to 54 years
Good
4.5%
Tragic
5.4%
Age | 55 to 59 years
Average
4.8%
Tragic
5.9%
Age | 60 to 64 years
Average
4.9%
Tragic
6.0%
Age | 65 to 74 years
Tragic
5.5%
Tragic
5.9%
Seniors > 65
Tragic
5.3%
Tragic
5.7%
Seniors > 75
Tragic
10.1%
Tragic
9.1%
Women w/ Children < 6
Fair
7.8%
Tragic
8.8%
Women w/ Children 6 to 17
Tragic
9.3%
Good
8.8%
Women w/ Children < 18
Excellent
5.3%
Tragic
6.4%

Hungarian vs Immigrants from Bangladesh Labor Participation

When considering labor participation, the most significant differences between Hungarian and Immigrants from Bangladesh communities in the United States are seen in in labor force | age 16-19 (39.8% compared to 30.0%, a difference of 32.6%), in labor force | age 20-24 (76.3% compared to 70.6%, a difference of 8.0%), and in labor force | age 45-54 (82.7% compared to 80.7%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (63.8% compared to 64.5%, a difference of 1.1%), in labor force | age 30-34 (84.5% compared to 83.6%, a difference of 1.1%), and in labor force | age 35-44 (84.2% compared to 82.9%, a difference of 1.6%).
Hungarian vs Immigrants from Bangladesh Labor Participation
Labor Participation MetricHungarianImmigrants from Bangladesh
In Labor Force | Age > 16
Tragic
63.8%
Tragic
64.5%
In Labor Force | Age 20-64
Tragic
79.2%
Tragic
77.9%
In Labor Force | Age 16-19
Exceptional
39.8%
Tragic
30.0%
In Labor Force | Age 20-24
Exceptional
76.3%
Tragic
70.6%
In Labor Force | Age 25-29
Average
84.6%
Tragic
83.0%
In Labor Force | Age 30-34
Fair
84.5%
Tragic
83.6%
In Labor Force | Age 35-44
Fair
84.2%
Tragic
82.9%
In Labor Force | Age 45-54
Fair
82.7%
Tragic
80.7%

Hungarian vs Immigrants from Bangladesh Family Structure

When considering family structure, the most significant differences between Hungarian and Immigrants from Bangladesh communities in the United States are seen in single mother households (5.7% compared to 6.9%, a difference of 21.2%), married-couple households (49.1% compared to 43.1%, a difference of 13.9%), and currently married (48.8% compared to 43.6%, a difference of 11.9%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.6%, a difference of 0.20%), births to unmarried women (31.2% compared to 30.9%, a difference of 1.1%), and family households (64.9% compared to 63.9%, a difference of 1.6%).
Hungarian vs Immigrants from Bangladesh Family Structure
Family Structure MetricHungarianImmigrants from Bangladesh
Family Households
Exceptional
64.9%
Poor
63.9%
Family Households with Children
Good
27.6%
Good
27.6%
Married-couple Households
Exceptional
49.1%
Tragic
43.1%
Average Family Size
Tragic
3.18
Exceptional
3.36
Single Father Households
Exceptional
2.2%
Exceptional
2.1%
Single Mother Households
Exceptional
5.7%
Tragic
6.9%
Currently Married
Exceptional
48.8%
Tragic
43.6%
Divorced or Separated
Good
12.0%
Exceptional
11.0%
Births to Unmarried Women
Good
31.2%
Good
30.9%

Hungarian vs Immigrants from Bangladesh Vehicle Availability

When considering vehicle availability, the most significant differences between Hungarian and Immigrants from Bangladesh communities in the United States are seen in no vehicles in household (9.9% compared to 25.8%, a difference of 159.7%), 4 or more vehicles in household (6.4% compared to 3.9%, a difference of 64.1%), and 3 or more vehicles in household (19.8% compared to 12.5%, a difference of 58.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 74.3%, a difference of 21.6%), 2 or more vehicles in household (56.5% compared to 38.8%, a difference of 45.7%), and 3 or more vehicles in household (19.8% compared to 12.5%, a difference of 58.4%).
Hungarian vs Immigrants from Bangladesh Vehicle Availability
Vehicle Availability MetricHungarianImmigrants from Bangladesh
No Vehicles Available
Excellent
9.9%
Tragic
25.8%
1+ Vehicles Available
Excellent
90.3%
Tragic
74.3%
2+ Vehicles Available
Excellent
56.5%
Tragic
38.8%
3+ Vehicles Available
Good
19.8%
Tragic
12.5%
4+ Vehicles Available
Good
6.4%
Tragic
3.9%

Hungarian vs Immigrants from Bangladesh Education Level

When considering education level, the most significant differences between Hungarian and Immigrants from Bangladesh communities in the United States are seen in no schooling completed (1.6% compared to 3.1%, a difference of 97.5%), college, under 1 year (65.6% compared to 61.3%, a difference of 7.1%), and ged/equivalency (87.4% compared to 81.9%, a difference of 6.8%). Conversely, both communities are more comparable in terms of master's degree (15.6% compared to 15.5%, a difference of 0.54%), bachelor's degree (38.3% compared to 37.8%, a difference of 1.2%), and nursery school (98.5% compared to 96.9%, a difference of 1.7%).
Hungarian vs Immigrants from Bangladesh Education Level
Education Level MetricHungarianImmigrants from Bangladesh
No Schooling Completed
Exceptional
1.6%
Tragic
3.1%
Nursery School
Exceptional
98.5%
Tragic
96.9%
Kindergarten
Exceptional
98.5%
Tragic
96.8%
1st Grade
Exceptional
98.4%
Tragic
96.8%
2nd Grade
Exceptional
98.4%
Tragic
96.7%
3rd Grade
Exceptional
98.3%
Tragic
96.6%
4th Grade
Exceptional
98.2%
Tragic
96.2%
5th Grade
Exceptional
98.0%
Tragic
96.0%
6th Grade
Exceptional
97.8%
Tragic
95.4%
7th Grade
Exceptional
97.2%
Tragic
94.0%
8th Grade
Exceptional
97.0%
Tragic
93.6%
9th Grade
Exceptional
96.2%
Tragic
92.4%
10th Grade
Exceptional
95.3%
Tragic
91.0%
11th Grade
Exceptional
94.2%
Tragic
89.5%
12th Grade, No Diploma
Exceptional
92.8%
Tragic
88.0%
High School Diploma
Exceptional
90.8%
Tragic
85.5%
GED/Equivalency
Exceptional
87.4%
Tragic
81.9%
College, Under 1 year
Average
65.6%
Tragic
61.3%
College, 1 year or more
Average
59.5%
Tragic
56.6%
Associate's Degree
Average
46.7%
Fair
45.2%
Bachelor's Degree
Good
38.3%
Average
37.8%
Master's Degree
Good
15.6%
Good
15.5%
Professional Degree
Excellent
4.6%
Average
4.4%
Doctorate Degree
Good
1.9%
Average
1.8%

Hungarian vs Immigrants from Bangladesh Disability

When considering disability, the most significant differences between Hungarian and Immigrants from Bangladesh communities in the United States are seen in disability age under 5 (1.5% compared to 0.85%, a difference of 81.5%), hearing disability (3.4% compared to 2.4%, a difference of 39.6%), and disability age 18 to 34 (7.1% compared to 5.6%, a difference of 26.7%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.1%, a difference of 0.13%), ambulatory disability (6.3% compared to 6.2%, a difference of 1.5%), and disability age over 75 (46.5% compared to 48.0%, a difference of 3.2%).
Hungarian vs Immigrants from Bangladesh Disability
Disability MetricHungarianImmigrants from Bangladesh
Disability
Tragic
12.2%
Exceptional
11.0%
Males
Tragic
12.0%
Exceptional
10.3%
Females
Tragic
12.5%
Exceptional
11.8%
Age | Under 5 years
Tragic
1.5%
Exceptional
0.85%
Age | 5 to 17 years
Tragic
5.8%
Exceptional
5.2%
Age | 18 to 34 years
Tragic
7.1%
Exceptional
5.6%
Age | 35 to 64 years
Fair
11.4%
Excellent
10.9%
Age | 65 to 74 years
Exceptional
22.4%
Fair
23.6%
Age | Over 75 years
Exceptional
46.5%
Tragic
48.0%
Vision
Good
2.1%
Good
2.1%
Hearing
Tragic
3.4%
Exceptional
2.4%
Cognitive
Exceptional
16.5%
Tragic
17.8%
Ambulatory
Tragic
6.3%
Fair
6.2%
Self-Care
Average
2.5%
Tragic
2.6%