German vs Immigrants from Bangladesh Community Comparison

COMPARE

German
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 CanadianGerman 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

Germans

Immigrants from Bangladesh

Good
Poor
6,819
SOCIAL INDEX
65.7/ 100
SOCIAL RATING
140th/ 347
SOCIAL RANK
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK

Immigrants from Bangladesh Integration in German Communities

The statistical analysis conducted on geographies consisting of 196,401,366 people shows a weak negative correlation between the proportion of Immigrants from Bangladesh within German communities in the United States with a correlation coefficient (R) of -0.210. On average, for every 1% (one percent) increase in Germans within a typical geography, there is a decrease of 0.002% in Immigrants from Bangladesh. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Germans corresponds to a decrease of 1.9 Immigrants from Bangladesh.
German Integration in Immigrants from Bangladesh Communities

German vs Immigrants from Bangladesh Income

When considering income, the most significant differences between German and Immigrants from Bangladesh communities in the United States are seen in wage/income gap (29.2% compared to 20.9%, a difference of 39.2%), householder income ages 45 - 64 years ($100,224 compared to $92,208, a difference of 8.7%), and median family income ($102,254 compared to $94,665, a difference of 8.0%). Conversely, both communities are more comparable in terms of median earnings ($45,935 compared to $45,532, a difference of 0.89%), per capita income ($43,067 compared to $41,709, a difference of 3.3%), and median household income ($83,358 compared to $80,722, a difference of 3.3%).
German vs Immigrants from Bangladesh Income
Income MetricGermanImmigrants from Bangladesh
Per Capita Income
Fair
$43,067
Poor
$41,709
Median Family Income
Average
$102,254
Tragic
$94,665
Median Household Income
Fair
$83,358
Tragic
$80,722
Median Earnings
Fair
$45,935
Fair
$45,532
Median Male Earnings
Good
$54,974
Tragic
$51,642
Median Female Earnings
Tragic
$37,986
Good
$39,910
Householder Age | Under 25 years
Tragic
$50,804
Exceptional
$54,714
Householder Age | 25 - 44 years
Fair
$93,531
Tragic
$90,448
Householder Age | 45 - 64 years
Average
$100,224
Tragic
$92,208
Householder Age | Over 65 years
Fair
$59,730
Tragic
$55,394
Wage/Income Gap
Tragic
29.2%
Exceptional
20.9%

German vs Immigrants from Bangladesh Poverty

When considering poverty, the most significant differences between German and Immigrants from Bangladesh communities in the United States are seen in married-couple family poverty (4.0% compared to 7.5%, a difference of 85.5%), receiving food stamps (9.7% compared to 15.9%, a difference of 63.2%), and seniors poverty over the age of 65 (9.0% compared to 14.1%, a difference of 57.2%). Conversely, both communities are more comparable in terms of single female poverty (21.8% compared to 22.3%, a difference of 2.4%), single mother poverty (30.0% compared to 31.1%, a difference of 3.8%), and female poverty among 18-24 year olds (20.4% compared to 21.8%, a difference of 6.6%).
German vs Immigrants from Bangladesh Poverty
Poverty MetricGermanImmigrants from Bangladesh
Poverty
Exceptional
11.1%
Tragic
15.3%
Families
Exceptional
7.7%
Tragic
11.7%
Males
Exceptional
10.1%
Tragic
14.1%
Females
Exceptional
12.2%
Tragic
16.4%
Females 18 to 24 years
Fair
20.4%
Tragic
21.8%
Females 25 to 34 years
Average
13.6%
Tragic
14.8%
Children Under 5 years
Excellent
16.5%
Tragic
20.1%
Children Under 16 years
Exceptional
14.5%
Tragic
19.8%
Boys Under 16 years
Exceptional
14.8%
Tragic
19.9%
Girls Under 16 years
Exceptional
14.9%
Tragic
19.9%
Single Males
Tragic
13.9%
Fair
13.0%
Single Females
Tragic
21.8%
Tragic
22.3%
Single Fathers
Tragic
17.7%
Average
16.3%
Single Mothers
Tragic
30.0%
Tragic
31.1%
Married Couples
Exceptional
4.0%
Tragic
7.5%
Seniors Over 65 years
Exceptional
9.0%
Tragic
14.1%
Seniors Over 75 years
Exceptional
10.4%
Tragic
15.8%
Receiving Food Stamps
Exceptional
9.7%
Tragic
15.9%

German vs Immigrants from Bangladesh Unemployment

When considering unemployment, the most significant differences between German and Immigrants from Bangladesh communities in the United States are seen in unemployment (4.5% compared to 6.5%, a difference of 44.3%), female unemployment (4.5% compared to 6.5%, a difference of 44.0%), and male unemployment (4.7% compared to 6.6%, a difference of 39.9%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.2% compared to 8.8%, a difference of 4.4%), unemployment among women with children under 6 years (8.0% compared to 8.8%, a difference of 10.8%), and unemployment among seniors over 75 years (10.3% compared to 9.1%, a difference of 13.0%).
German vs Immigrants from Bangladesh Unemployment
Unemployment MetricGermanImmigrants from Bangladesh
Unemployment
Exceptional
4.5%
Tragic
6.5%
Males
Exceptional
4.7%
Tragic
6.6%
Females
Exceptional
4.5%
Tragic
6.5%
Youth < 25
Exceptional
10.5%
Tragic
14.2%
Age | 16 to 19 years
Exceptional
15.7%
Tragic
21.5%
Age | 20 to 24 years
Exceptional
9.6%
Tragic
12.6%
Age | 25 to 29 years
Excellent
6.5%
Tragic
7.5%
Age | 30 to 34 years
Good
5.3%
Tragic
6.4%
Age | 35 to 44 years
Exceptional
4.3%
Tragic
5.3%
Age | 45 to 54 years
Exceptional
4.1%
Tragic
5.4%
Age | 55 to 59 years
Exceptional
4.5%
Tragic
5.9%
Age | 60 to 64 years
Exceptional
4.5%
Tragic
6.0%
Age | 65 to 74 years
Exceptional
5.1%
Tragic
5.9%
Seniors > 65
Exceptional
4.9%
Tragic
5.7%
Seniors > 75
Tragic
10.3%
Tragic
9.1%
Women w/ Children < 6
Tragic
8.0%
Tragic
8.8%
Women w/ Children 6 to 17
Tragic
9.2%
Good
8.8%
Women w/ Children < 18
Exceptional
4.9%
Tragic
6.4%

German vs Immigrants from Bangladesh Labor Participation

When considering labor participation, the most significant differences between German and Immigrants from Bangladesh communities in the United States are seen in in labor force | age 16-19 (44.2% compared to 30.0%, a difference of 47.0%), in labor force | age 20-24 (78.6% compared to 70.6%, a difference of 11.3%), and in labor force | age 45-54 (83.1% compared to 80.7%, a difference of 2.9%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.4% compared to 64.5%, a difference of 0.20%), in labor force | age 30-34 (84.8% compared to 83.6%, a difference of 1.5%), and in labor force | age 35-44 (84.7% compared to 82.9%, a difference of 2.1%).
German vs Immigrants from Bangladesh Labor Participation
Labor Participation MetricGermanImmigrants from Bangladesh
In Labor Force | Age > 16
Tragic
64.4%
Tragic
64.5%
In Labor Force | Age 20-64
Good
79.7%
Tragic
77.9%
In Labor Force | Age 16-19
Exceptional
44.2%
Tragic
30.0%
In Labor Force | Age 20-24
Exceptional
78.6%
Tragic
70.6%
In Labor Force | Age 25-29
Exceptional
85.3%
Tragic
83.0%
In Labor Force | Age 30-34
Good
84.8%
Tragic
83.6%
In Labor Force | Age 35-44
Exceptional
84.7%
Tragic
82.9%
In Labor Force | Age 45-54
Excellent
83.1%
Tragic
80.7%

German vs Immigrants from Bangladesh Family Structure

When considering family structure, the most significant differences between German and Immigrants from Bangladesh communities in the United States are seen in single mother households (5.8% compared to 6.9%, a difference of 19.5%), single father households (2.4% compared to 2.1%, a difference of 14.9%), and married-couple households (49.2% compared to 43.1%, a difference of 14.1%). Conversely, both communities are more comparable in terms of family households (64.4% compared to 63.9%, a difference of 0.92%), family households with children (27.1% compared to 27.6%, a difference of 1.7%), and births to unmarried women (32.0% compared to 30.9%, a difference of 3.6%).
German vs Immigrants from Bangladesh Family Structure
Family Structure MetricGermanImmigrants from Bangladesh
Family Households
Good
64.4%
Poor
63.9%
Family Households with Children
Tragic
27.1%
Good
27.6%
Married-couple Households
Exceptional
49.2%
Tragic
43.1%
Average Family Size
Tragic
3.09
Exceptional
3.36
Single Father Households
Fair
2.4%
Exceptional
2.1%
Single Mother Households
Exceptional
5.8%
Tragic
6.9%
Currently Married
Exceptional
49.6%
Tragic
43.6%
Divorced or Separated
Tragic
12.5%
Exceptional
11.0%
Births to Unmarried Women
Fair
32.0%
Good
30.9%

German vs Immigrants from Bangladesh Vehicle Availability

When considering vehicle availability, the most significant differences between German and Immigrants from Bangladesh communities in the United States are seen in no vehicles in household (6.7% compared to 25.8%, a difference of 285.7%), 4 or more vehicles in household (7.5% compared to 3.9%, a difference of 91.2%), and 3 or more vehicles in household (22.7% compared to 12.5%, a difference of 81.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.6% compared to 74.3%, a difference of 26.0%), 2 or more vehicles in household (61.6% compared to 38.8%, a difference of 58.8%), and 3 or more vehicles in household (22.7% compared to 12.5%, a difference of 81.7%).
German vs Immigrants from Bangladesh Vehicle Availability
Vehicle Availability MetricGermanImmigrants from Bangladesh
No Vehicles Available
Exceptional
6.7%
Tragic
25.8%
1+ Vehicles Available
Exceptional
93.6%
Tragic
74.3%
2+ Vehicles Available
Exceptional
61.6%
Tragic
38.8%
3+ Vehicles Available
Exceptional
22.7%
Tragic
12.5%
4+ Vehicles Available
Exceptional
7.5%
Tragic
3.9%

German vs Immigrants from Bangladesh Education Level

When considering education level, the most significant differences between German and Immigrants from Bangladesh communities in the United States are seen in no schooling completed (1.4% compared to 3.1%, a difference of 132.0%), master's degree (14.0% compared to 15.5%, a difference of 10.4%), and professional degree (4.1% compared to 4.4%, a difference of 8.9%). Conversely, both communities are more comparable in terms of associate's degree (45.5% compared to 45.2%, a difference of 0.54%), nursery school (98.7% compared to 96.9%, a difference of 1.9%), and kindergarten (98.7% compared to 96.8%, a difference of 1.9%).
German vs Immigrants from Bangladesh Education Level
Education Level MetricGermanImmigrants from Bangladesh
No Schooling Completed
Exceptional
1.4%
Tragic
3.1%
Nursery School
Exceptional
98.7%
Tragic
96.9%
Kindergarten
Exceptional
98.7%
Tragic
96.8%
1st Grade
Exceptional
98.7%
Tragic
96.8%
2nd Grade
Exceptional
98.7%
Tragic
96.7%
3rd Grade
Exceptional
98.6%
Tragic
96.6%
4th Grade
Exceptional
98.5%
Tragic
96.2%
5th Grade
Exceptional
98.4%
Tragic
96.0%
6th Grade
Exceptional
98.2%
Tragic
95.4%
7th Grade
Exceptional
97.7%
Tragic
94.0%
8th Grade
Exceptional
97.5%
Tragic
93.6%
9th Grade
Exceptional
96.7%
Tragic
92.4%
10th Grade
Exceptional
95.8%
Tragic
91.0%
11th Grade
Exceptional
94.7%
Tragic
89.5%
12th Grade, No Diploma
Exceptional
93.3%
Tragic
88.0%
High School Diploma
Exceptional
91.7%
Tragic
85.5%
GED/Equivalency
Exceptional
87.9%
Tragic
81.9%
College, Under 1 year
Average
65.6%
Tragic
61.3%
College, 1 year or more
Fair
58.9%
Tragic
56.6%
Associate's Degree
Fair
45.5%
Fair
45.2%
Bachelor's Degree
Poor
36.1%
Average
37.8%
Master's Degree
Poor
14.0%
Good
15.5%
Professional Degree
Poor
4.1%
Average
4.4%
Doctorate Degree
Fair
1.8%
Average
1.8%

German vs Immigrants from Bangladesh Disability

When considering disability, the most significant differences between German and Immigrants from Bangladesh communities in the United States are seen in disability age under 5 (1.7% compared to 0.85%, a difference of 101.7%), hearing disability (3.7% compared to 2.4%, a difference of 53.9%), and disability age 18 to 34 (7.7% compared to 5.6%, a difference of 37.1%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (23.3% compared to 23.6%, a difference of 1.3%), disability age over 75 (46.3% compared to 48.0%, a difference of 3.8%), and ambulatory disability (6.5% compared to 6.2%, a difference of 4.0%).
German vs Immigrants from Bangladesh Disability
Disability MetricGermanImmigrants from Bangladesh
Disability
Tragic
12.8%
Exceptional
11.0%
Males
Tragic
12.7%
Exceptional
10.3%
Females
Tragic
12.9%
Exceptional
11.8%
Age | Under 5 years
Tragic
1.7%
Exceptional
0.85%
Age | 5 to 17 years
Tragic
6.1%
Exceptional
5.2%
Age | 18 to 34 years
Tragic
7.7%
Exceptional
5.6%
Age | 35 to 64 years
Tragic
12.3%
Excellent
10.9%
Age | 65 to 74 years
Average
23.3%
Fair
23.6%
Age | Over 75 years
Exceptional
46.3%
Tragic
48.0%
Vision
Poor
2.2%
Good
2.1%
Hearing
Tragic
3.7%
Exceptional
2.4%
Cognitive
Exceptional
16.7%
Tragic
17.8%
Ambulatory
Tragic
6.5%
Fair
6.2%
Self-Care
Excellent
2.4%
Tragic
2.6%