Immigrants from Bangladesh vs Hungarian Community Comparison

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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
Hungarian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish 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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Immigrants from Bangladesh

Hungarians

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

Hungarian Integration in Immigrants from Bangladesh Communities

The statistical analysis conducted on geographies consisting of 196,230,273 people shows a weak negative correlation between the proportion of Hungarians within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of -0.216. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is a decrease of 0.019% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to a decrease of 19.2 Hungarians.
Immigrants from Bangladesh Integration in Hungarian Communities

Immigrants from Bangladesh vs Hungarian Income

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

Immigrants from Bangladesh vs Hungarian Poverty

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

Immigrants from Bangladesh vs Hungarian Unemployment

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

Immigrants from Bangladesh vs Hungarian Labor Participation

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

Immigrants from Bangladesh vs Hungarian Family Structure

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

Immigrants from Bangladesh vs Hungarian Vehicle Availability

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

Immigrants from Bangladesh vs Hungarian Education Level

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

Immigrants from Bangladesh vs Hungarian Disability

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