Immigrants from Bangladesh vs Portuguese 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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPotawatomiPuebloPuerto 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
Portuguese
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

Portuguese

Poor
Average
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK
4,363
SOCIAL INDEX
41.1/ 100
SOCIAL RATING
201st/ 347
SOCIAL RANK

Portuguese Integration in Immigrants from Bangladesh Communities

The statistical analysis conducted on geographies consisting of 192,191,275 people shows a slight negative correlation between the proportion of Portuguese within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of -0.085. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is a decrease of 0.006% in Portuguese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to a decrease of 6.5 Portuguese.
Immigrants from Bangladesh Integration in Portuguese Communities

Immigrants from Bangladesh vs Portuguese Income

When considering income, the most significant differences between Immigrants from Bangladesh and Portuguese communities in the United States are seen in wage/income gap (20.9% compared to 27.4%, a difference of 30.6%), householder income ages 45 - 64 years ($92,208 compared to $105,309, a difference of 14.2%), and median family income ($94,665 compared to $106,286, a difference of 12.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,714 compared to $54,436, a difference of 0.51%), median female earnings ($39,910 compared to $40,177, a difference of 0.67%), and median earnings ($45,532 compared to $48,032, a difference of 5.5%).
Immigrants from Bangladesh vs Portuguese Income
Income MetricImmigrants from BangladeshPortuguese
Per Capita Income
Poor
$41,709
Good
$44,362
Median Family Income
Tragic
$94,665
Excellent
$106,286
Median Household Income
Tragic
$80,722
Exceptional
$88,976
Median Earnings
Fair
$45,532
Exceptional
$48,032
Median Male Earnings
Tragic
$51,642
Excellent
$56,663
Median Female Earnings
Good
$39,910
Good
$40,177
Householder Age | Under 25 years
Exceptional
$54,714
Exceptional
$54,436
Householder Age | 25 - 44 years
Tragic
$90,448
Exceptional
$99,429
Householder Age | 45 - 64 years
Tragic
$92,208
Exceptional
$105,309
Householder Age | Over 65 years
Tragic
$55,394
Good
$61,440
Wage/Income Gap
Exceptional
20.9%
Tragic
27.4%

Immigrants from Bangladesh vs Portuguese Poverty

When considering poverty, the most significant differences between Immigrants from Bangladesh and Portuguese communities in the United States are seen in married-couple family poverty (7.5% compared to 4.6%, a difference of 62.6%), family poverty (11.7% compared to 8.4%, a difference of 39.3%), and seniors poverty over the age of 65 (14.1% compared to 10.5%, a difference of 33.6%). Conversely, both communities are more comparable in terms of single father poverty (16.3% compared to 16.2%, a difference of 0.33%), single male poverty (13.0% compared to 12.9%, a difference of 0.69%), and single mother poverty (31.1% compared to 28.8%, a difference of 8.0%).
Immigrants from Bangladesh vs Portuguese Poverty
Poverty MetricImmigrants from BangladeshPortuguese
Poverty
Tragic
15.3%
Exceptional
11.6%
Families
Tragic
11.7%
Excellent
8.4%
Males
Tragic
14.1%
Exceptional
10.6%
Females
Tragic
16.4%
Exceptional
12.6%
Females 18 to 24 years
Tragic
21.8%
Exceptional
17.8%
Females 25 to 34 years
Tragic
14.8%
Average
13.6%
Children Under 5 years
Tragic
20.1%
Excellent
16.5%
Children Under 16 years
Tragic
19.8%
Exceptional
15.1%
Boys Under 16 years
Tragic
19.9%
Excellent
15.5%
Girls Under 16 years
Tragic
19.9%
Exceptional
15.3%
Single Males
Fair
13.0%
Fair
12.9%
Single Females
Tragic
22.3%
Excellent
20.5%
Single Fathers
Average
16.3%
Good
16.2%
Single Mothers
Tragic
31.1%
Good
28.8%
Married Couples
Tragic
7.5%
Exceptional
4.6%
Seniors Over 65 years
Tragic
14.1%
Excellent
10.5%
Seniors Over 75 years
Tragic
15.8%
Good
12.1%
Receiving Food Stamps
Tragic
15.9%
Fair
12.2%

Immigrants from Bangladesh vs Portuguese Unemployment

When considering unemployment, the most significant differences between Immigrants from Bangladesh and Portuguese communities in the United States are seen in unemployment among ages 60 to 64 years (6.0% compared to 4.7%, a difference of 26.8%), unemployment among ages 16 to 19 years (21.5% compared to 17.4%, a difference of 23.3%), and unemployment among youth under 25 years (14.2% compared to 11.7%, a difference of 21.4%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.9% compared to 5.7%, a difference of 1.8%), unemployment among seniors over 65 years (5.7% compared to 5.6%, a difference of 2.1%), and unemployment among ages 25 to 29 years (7.5% compared to 7.2%, a difference of 5.0%).
Immigrants from Bangladesh vs Portuguese Unemployment
Unemployment MetricImmigrants from BangladeshPortuguese
Unemployment
Tragic
6.5%
Poor
5.4%
Males
Tragic
6.6%
Tragic
5.6%
Females
Tragic
6.5%
Fair
5.3%
Youth < 25
Tragic
14.2%
Fair
11.7%
Age | 16 to 19 years
Tragic
21.5%
Good
17.4%
Age | 20 to 24 years
Tragic
12.6%
Fair
10.4%
Age | 25 to 29 years
Tragic
7.5%
Tragic
7.2%
Age | 30 to 34 years
Tragic
6.4%
Tragic
5.9%
Age | 35 to 44 years
Tragic
5.3%
Tragic
5.1%
Age | 45 to 54 years
Tragic
5.4%
Tragic
4.8%
Age | 55 to 59 years
Tragic
5.9%
Tragic
5.1%
Age | 60 to 64 years
Tragic
6.0%
Exceptional
4.7%
Age | 65 to 74 years
Tragic
5.9%
Tragic
5.7%
Seniors > 65
Tragic
5.7%
Tragic
5.6%
Seniors > 75
Tragic
9.1%
Tragic
10.4%
Women w/ Children < 6
Tragic
8.8%
Tragic
8.0%
Women w/ Children 6 to 17
Good
8.8%
Tragic
9.4%
Women w/ Children < 18
Tragic
6.4%
Poor
5.6%

Immigrants from Bangladesh vs Portuguese Labor Participation

When considering labor participation, the most significant differences between Immigrants from Bangladesh and Portuguese communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 40.0%, a difference of 33.2%), in labor force | age 20-24 (70.6% compared to 76.4%, a difference of 8.2%), and in labor force | age 45-54 (80.7% compared to 82.2%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.5% compared to 64.4%, a difference of 0.23%), in labor force | age 30-34 (83.6% compared to 84.0%, a difference of 0.43%), and in labor force | age 20-64 (77.9% compared to 79.1%, a difference of 1.6%).
Immigrants from Bangladesh vs Portuguese Labor Participation
Labor Participation MetricImmigrants from BangladeshPortuguese
In Labor Force | Age > 16
Tragic
64.5%
Tragic
64.4%
In Labor Force | Age 20-64
Tragic
77.9%
Tragic
79.1%
In Labor Force | Age 16-19
Tragic
30.0%
Exceptional
40.0%
In Labor Force | Age 20-24
Tragic
70.6%
Exceptional
76.4%
In Labor Force | Age 25-29
Tragic
83.0%
Fair
84.4%
In Labor Force | Age 30-34
Tragic
83.6%
Tragic
84.0%
In Labor Force | Age 35-44
Tragic
82.9%
Fair
84.3%
In Labor Force | Age 45-54
Tragic
80.7%
Tragic
82.2%

Immigrants from Bangladesh vs Portuguese Family Structure

When considering family structure, the most significant differences between Immigrants from Bangladesh and Portuguese communities in the United States are seen in single father households (2.1% compared to 2.5%, a difference of 19.4%), divorced or separated (11.0% compared to 12.2%, a difference of 11.1%), and married-couple households (43.1% compared to 47.8%, a difference of 10.8%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.6%, a difference of 0.30%), family households (63.9% compared to 65.8%, a difference of 3.1%), and average family size (3.36 compared to 3.19, a difference of 5.5%).
Immigrants from Bangladesh vs Portuguese Family Structure
Family Structure MetricImmigrants from BangladeshPortuguese
Family Households
Poor
63.9%
Exceptional
65.8%
Family Households with Children
Good
27.6%
Good
27.6%
Married-couple Households
Tragic
43.1%
Exceptional
47.8%
Average Family Size
Exceptional
3.36
Tragic
3.19
Single Father Households
Exceptional
2.1%
Tragic
2.5%
Single Mother Households
Tragic
6.9%
Fair
6.4%
Currently Married
Tragic
43.6%
Excellent
47.3%
Divorced or Separated
Exceptional
11.0%
Fair
12.2%
Births to Unmarried Women
Good
30.9%
Tragic
33.8%

Immigrants from Bangladesh vs Portuguese Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and Portuguese communities in the United States are seen in no vehicles in household (25.8% compared to 8.6%, a difference of 200.4%), 4 or more vehicles in household (3.9% compared to 7.4%, a difference of 90.0%), and 3 or more vehicles in household (12.5% compared to 21.8%, a difference of 74.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 91.6%, a difference of 23.2%), 2 or more vehicles in household (38.8% compared to 58.6%, a difference of 51.2%), and 3 or more vehicles in household (12.5% compared to 21.8%, a difference of 74.4%).
Immigrants from Bangladesh vs Portuguese Vehicle Availability
Vehicle Availability MetricImmigrants from BangladeshPortuguese
No Vehicles Available
Tragic
25.8%
Exceptional
8.6%
1+ Vehicles Available
Tragic
74.3%
Exceptional
91.6%
2+ Vehicles Available
Tragic
38.8%
Exceptional
58.6%
3+ Vehicles Available
Tragic
12.5%
Exceptional
21.8%
4+ Vehicles Available
Tragic
3.9%
Exceptional
7.4%

Immigrants from Bangladesh vs Portuguese Education Level

When considering education level, the most significant differences between Immigrants from Bangladesh and Portuguese communities in the United States are seen in no schooling completed (3.1% compared to 2.1%, a difference of 49.2%), master's degree (15.5% compared to 13.9%, a difference of 11.1%), and professional degree (4.4% compared to 4.1%, a difference of 9.4%). Conversely, both communities are more comparable in terms of college, 1 year or more (56.6% compared to 57.2%, a difference of 1.1%), nursery school (96.9% compared to 98.0%, a difference of 1.1%), and kindergarten (96.8% compared to 97.9%, a difference of 1.1%).
Immigrants from Bangladesh vs Portuguese Education Level
Education Level MetricImmigrants from BangladeshPortuguese
No Schooling Completed
Tragic
3.1%
Average
2.1%
Nursery School
Tragic
96.9%
Average
98.0%
Kindergarten
Tragic
96.8%
Average
97.9%
1st Grade
Tragic
96.8%
Average
97.9%
2nd Grade
Tragic
96.7%
Average
97.8%
3rd Grade
Tragic
96.6%
Fair
97.7%
4th Grade
Tragic
96.2%
Fair
97.4%
5th Grade
Tragic
96.0%
Tragic
97.1%
6th Grade
Tragic
95.4%
Tragic
96.8%
7th Grade
Tragic
94.0%
Poor
95.8%
8th Grade
Tragic
93.6%
Poor
95.5%
9th Grade
Tragic
92.4%
Tragic
94.5%
10th Grade
Tragic
91.0%
Poor
93.3%
11th Grade
Tragic
89.5%
Tragic
92.0%
12th Grade, No Diploma
Tragic
88.0%
Poor
90.6%
High School Diploma
Tragic
85.5%
Poor
88.5%
GED/Equivalency
Tragic
81.9%
Poor
85.0%
College, Under 1 year
Tragic
61.3%
Tragic
63.4%
College, 1 year or more
Tragic
56.6%
Tragic
57.2%
Associate's Degree
Fair
45.2%
Tragic
44.1%
Bachelor's Degree
Average
37.8%
Tragic
35.5%
Master's Degree
Good
15.5%
Poor
13.9%
Professional Degree
Average
4.4%
Poor
4.1%
Doctorate Degree
Average
1.8%
Fair
1.8%

Immigrants from Bangladesh vs Portuguese Disability

When considering disability, the most significant differences between Immigrants from Bangladesh and Portuguese communities in the United States are seen in disability age under 5 (0.85% compared to 1.6%, a difference of 89.4%), hearing disability (2.4% compared to 3.5%, a difference of 42.6%), and disability age 18 to 34 (5.6% compared to 7.4%, a difference of 30.7%). Conversely, both communities are more comparable in terms of self-care disability (2.6% compared to 2.6%, a difference of 0.15%), disability age 65 to 74 (23.6% compared to 23.5%, a difference of 0.49%), and disability age over 75 (48.0% compared to 47.6%, a difference of 0.97%).
Immigrants from Bangladesh vs Portuguese Disability
Disability MetricImmigrants from BangladeshPortuguese
Disability
Exceptional
11.0%
Tragic
12.6%
Males
Exceptional
10.3%
Tragic
12.3%
Females
Exceptional
11.8%
Tragic
13.0%
Age | Under 5 years
Exceptional
0.85%
Tragic
1.6%
Age | 5 to 17 years
Exceptional
5.2%
Tragic
6.1%
Age | 18 to 34 years
Exceptional
5.6%
Tragic
7.4%
Age | 35 to 64 years
Excellent
10.9%
Tragic
11.9%
Age | 65 to 74 years
Fair
23.6%
Fair
23.5%
Age | Over 75 years
Tragic
48.0%
Fair
47.6%
Vision
Good
2.1%
Tragic
2.3%
Hearing
Exceptional
2.4%
Tragic
3.5%
Cognitive
Tragic
17.8%
Exceptional
16.9%
Ambulatory
Fair
6.2%
Tragic
6.4%
Self-Care
Tragic
2.6%
Tragic
2.6%