Bangladeshi vs Pennsylvania German Community Comparison

COMPARE

Bangladeshi
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 EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto 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
Pennsylvania German
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Bangladeshis

Pennsylvania Germans

Fair
Fair
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
3,991
SOCIAL INDEX
37.4/ 100
SOCIAL RATING
207th/ 347
SOCIAL RANK

Pennsylvania German Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 93,654,312 people shows a slight negative correlation between the proportion of Pennsylvania Germans within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.098. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.003% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 2.8 Pennsylvania Germans.
Bangladeshi Integration in Pennsylvania German Communities

Bangladeshi vs Pennsylvania German Income

When considering income, the most significant differences between Bangladeshi and Pennsylvania German communities in the United States are seen in wage/income gap (22.2% compared to 30.7%, a difference of 38.5%), median male earnings ($46,744 compared to $50,878, a difference of 8.8%), and householder income under 25 years ($47,589 compared to $50,852, a difference of 6.9%). Conversely, both communities are more comparable in terms of median household income ($74,112 compared to $75,814, a difference of 2.3%), median earnings ($41,263 compared to $42,615, a difference of 3.3%), and median female earnings ($35,960 compared to $34,802, a difference of 3.3%).
Bangladeshi vs Pennsylvania German Income
Income MetricBangladeshiPennsylvania German
Per Capita Income
Tragic
$35,897
Tragic
$37,842
Median Family Income
Tragic
$88,358
Tragic
$91,763
Median Household Income
Tragic
$74,112
Tragic
$75,814
Median Earnings
Tragic
$41,263
Tragic
$42,615
Median Male Earnings
Tragic
$46,744
Tragic
$50,878
Median Female Earnings
Tragic
$35,960
Tragic
$34,802
Householder Age | Under 25 years
Tragic
$47,589
Tragic
$50,852
Householder Age | 25 - 44 years
Tragic
$81,363
Tragic
$85,836
Householder Age | 45 - 64 years
Tragic
$86,402
Tragic
$91,956
Householder Age | Over 65 years
Tragic
$54,719
Tragic
$52,888
Wage/Income Gap
Exceptional
22.2%
Tragic
30.7%

Bangladeshi vs Pennsylvania German Poverty

When considering poverty, the most significant differences between Bangladeshi and Pennsylvania German communities in the United States are seen in single father poverty (15.2% compared to 20.0%, a difference of 31.8%), receiving food stamps (15.0% compared to 11.4%, a difference of 31.7%), and family poverty (10.9% compared to 8.8%, a difference of 23.6%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.0% compared to 11.8%, a difference of 1.6%), single female poverty (24.2% compared to 23.6%, a difference of 2.5%), and female poverty among 25-34 year olds (15.9% compared to 15.4%, a difference of 3.2%).
Bangladeshi vs Pennsylvania German Poverty
Poverty MetricBangladeshiPennsylvania German
Poverty
Tragic
14.8%
Good
12.2%
Families
Tragic
10.9%
Good
8.8%
Males
Tragic
13.6%
Average
11.2%
Females
Tragic
16.0%
Good
13.2%
Females 18 to 24 years
Tragic
22.5%
Excellent
19.7%
Females 25 to 34 years
Tragic
15.9%
Tragic
15.4%
Children Under 5 years
Tragic
20.6%
Tragic
19.8%
Children Under 16 years
Tragic
19.9%
Tragic
17.4%
Boys Under 16 years
Tragic
20.0%
Tragic
17.9%
Girls Under 16 years
Tragic
20.0%
Tragic
17.8%
Single Males
Tragic
13.3%
Tragic
15.6%
Single Females
Tragic
24.2%
Tragic
23.6%
Single Fathers
Exceptional
15.2%
Tragic
20.0%
Single Mothers
Tragic
31.7%
Tragic
33.2%
Married Couples
Tragic
6.0%
Good
5.1%
Seniors Over 65 years
Fair
11.2%
Exceptional
9.9%
Seniors Over 75 years
Good
12.0%
Excellent
11.8%
Receiving Food Stamps
Tragic
15.0%
Good
11.4%

Bangladeshi vs Pennsylvania German Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Pennsylvania German communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 11.0%, a difference of 50.0%), unemployment among women with children under 6 years (7.5% compared to 10.8%, a difference of 43.4%), and male unemployment (5.7% compared to 4.8%, a difference of 19.1%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.47%), unemployment among ages 20 to 24 years (10.0% compared to 10.0%, a difference of 0.68%), and unemployment among ages 35 to 44 years (4.8% compared to 4.7%, a difference of 1.9%).
Bangladeshi vs Pennsylvania German Unemployment
Unemployment MetricBangladeshiPennsylvania German
Unemployment
Poor
5.4%
Exceptional
4.6%
Males
Tragic
5.7%
Exceptional
4.8%
Females
Good
5.2%
Exceptional
4.8%
Youth < 25
Average
11.6%
Exceptional
10.6%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
16.2%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
10.0%
Age | 25 to 29 years
Average
6.6%
Tragic
7.4%
Age | 30 to 34 years
Good
5.3%
Tragic
6.3%
Age | 35 to 44 years
Fair
4.8%
Average
4.7%
Age | 45 to 54 years
Average
4.5%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.7%
Excellent
4.7%
Age | 60 to 64 years
Exceptional
4.6%
Excellent
4.8%
Age | 65 to 74 years
Good
5.3%
Tragic
5.8%
Seniors > 65
Fair
5.2%
Tragic
5.4%
Seniors > 75
Tragic
9.6%
Tragic
10.2%
Women w/ Children < 6
Good
7.5%
Tragic
10.8%
Women w/ Children 6 to 17
Exceptional
7.4%
Tragic
11.0%
Women w/ Children < 18
Good
5.3%
Tragic
5.7%

Bangladeshi vs Pennsylvania German Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 46.4%, a difference of 9.4%), in labor force | age > 16 (65.9% compared to 63.4%, a difference of 4.1%), and in labor force | age 30-34 (84.3% compared to 82.6%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (78.1% compared to 78.0%, a difference of 0.20%), in labor force | age 45-54 (81.3% compared to 81.6%, a difference of 0.38%), and in labor force | age 20-64 (79.3% compared to 78.4%, a difference of 1.1%).
Bangladeshi vs Pennsylvania German Labor Participation
Labor Participation MetricBangladeshiPennsylvania German
In Labor Force | Age > 16
Exceptional
65.9%
Tragic
63.4%
In Labor Force | Age 20-64
Poor
79.3%
Tragic
78.4%
In Labor Force | Age 16-19
Exceptional
42.5%
Exceptional
46.4%
In Labor Force | Age 20-24
Exceptional
78.1%
Exceptional
78.0%
In Labor Force | Age 25-29
Exceptional
85.1%
Tragic
83.6%
In Labor Force | Age 30-34
Tragic
84.3%
Tragic
82.6%
In Labor Force | Age 35-44
Poor
84.1%
Tragic
82.9%
In Labor Force | Age 45-54
Tragic
81.3%
Tragic
81.6%

Bangladeshi vs Pennsylvania German Family Structure

When considering family structure, the most significant differences between Bangladeshi and Pennsylvania German communities in the United States are seen in single mother households (8.1% compared to 5.8%, a difference of 40.0%), single father households (3.1% compared to 2.4%, a difference of 25.5%), and married-couple households (43.5% compared to 50.4%, a difference of 15.7%). Conversely, both communities are more comparable in terms of births to unmarried women (34.4% compared to 34.0%, a difference of 1.2%), divorced or separated (12.3% compared to 12.1%, a difference of 1.8%), and family households (64.3% compared to 66.1%, a difference of 2.9%).
Bangladeshi vs Pennsylvania German Family Structure
Family Structure MetricBangladeshiPennsylvania German
Family Households
Average
64.3%
Exceptional
66.1%
Family Households with Children
Exceptional
30.1%
Fair
27.4%
Married-couple Households
Tragic
43.5%
Exceptional
50.4%
Average Family Size
Exceptional
3.37
Tragic
3.19
Single Father Households
Tragic
3.1%
Tragic
2.4%
Single Mother Households
Tragic
8.1%
Exceptional
5.8%
Currently Married
Tragic
43.7%
Exceptional
49.6%
Divorced or Separated
Poor
12.3%
Average
12.1%
Births to Unmarried Women
Tragic
34.4%
Tragic
34.0%

Bangladeshi vs Pennsylvania German Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Pennsylvania German communities in the United States are seen in no vehicles in household (8.7% compared to 11.0%, a difference of 27.0%), 1 or more vehicles in household (91.4% compared to 89.3%, a difference of 2.4%), and 3 or more vehicles in household (21.9% compared to 22.3%, a difference of 2.2%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (58.4% compared to 58.5%, a difference of 0.14%), 4 or more vehicles in household (7.6% compared to 7.6%, a difference of 0.88%), and 3 or more vehicles in household (21.9% compared to 22.3%, a difference of 2.2%).
Bangladeshi vs Pennsylvania German Vehicle Availability
Vehicle Availability MetricBangladeshiPennsylvania German
No Vehicles Available
Exceptional
8.7%
Poor
11.0%
1+ Vehicles Available
Exceptional
91.4%
Fair
89.3%
2+ Vehicles Available
Exceptional
58.4%
Exceptional
58.5%
3+ Vehicles Available
Exceptional
21.9%
Exceptional
22.3%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
7.6%

Bangladeshi vs Pennsylvania German Education Level

When considering education level, the most significant differences between Bangladeshi and Pennsylvania German communities in the United States are seen in no schooling completed (3.5% compared to 1.5%, a difference of 138.8%), doctorate degree (1.2% compared to 1.4%, a difference of 14.0%), and college, under 1 year (61.4% compared to 54.5%, a difference of 12.6%). Conversely, both communities are more comparable in terms of high school diploma (86.9% compared to 87.0%, a difference of 0.14%), 9th grade (93.4% compared to 93.3%, a difference of 0.18%), and ged/equivalency (83.1% compared to 82.9%, a difference of 0.25%).
Bangladeshi vs Pennsylvania German Education Level
Education Level MetricBangladeshiPennsylvania German
No Schooling Completed
Tragic
3.5%
Exceptional
1.5%
Nursery School
Tragic
96.6%
Exceptional
98.6%
Kindergarten
Tragic
96.6%
Exceptional
98.6%
1st Grade
Tragic
96.5%
Exceptional
98.6%
2nd Grade
Tragic
96.5%
Exceptional
98.5%
3rd Grade
Tragic
96.3%
Exceptional
98.5%
4th Grade
Tragic
96.1%
Exceptional
98.4%
5th Grade
Tragic
95.9%
Exceptional
98.3%
6th Grade
Tragic
95.7%
Exceptional
98.1%
7th Grade
Tragic
94.5%
Exceptional
97.6%
8th Grade
Tragic
94.3%
Exceptional
97.3%
9th Grade
Tragic
93.4%
Tragic
93.3%
10th Grade
Tragic
92.2%
Tragic
91.9%
11th Grade
Tragic
90.9%
Tragic
90.3%
12th Grade, No Diploma
Tragic
89.3%
Tragic
88.7%
High School Diploma
Tragic
86.9%
Tragic
87.0%
GED/Equivalency
Tragic
83.1%
Tragic
82.9%
College, Under 1 year
Tragic
61.4%
Tragic
54.5%
College, 1 year or more
Tragic
54.5%
Tragic
48.5%
Associate's Degree
Tragic
40.0%
Tragic
37.2%
Bachelor's Degree
Tragic
30.2%
Tragic
28.4%
Master's Degree
Tragic
10.5%
Tragic
10.7%
Professional Degree
Tragic
3.1%
Tragic
3.0%
Doctorate Degree
Tragic
1.2%
Tragic
1.4%

Bangladeshi vs Pennsylvania German Disability

When considering disability, the most significant differences between Bangladeshi and Pennsylvania German communities in the United States are seen in disability age under 5 (1.3% compared to 1.9%, a difference of 51.5%), hearing disability (3.2% compared to 3.7%, a difference of 18.0%), and self-care disability (2.8% compared to 2.5%, a difference of 14.4%). Conversely, both communities are more comparable in terms of female disability (13.1% compared to 13.4%, a difference of 2.4%), disability age over 75 (49.4% compared to 47.2%, a difference of 4.8%), and disability (12.6% compared to 13.2%, a difference of 4.9%).
Bangladeshi vs Pennsylvania German Disability
Disability MetricBangladeshiPennsylvania German
Disability
Tragic
12.6%
Tragic
13.2%
Males
Tragic
12.0%
Tragic
13.0%
Females
Tragic
13.1%
Tragic
13.4%
Age | Under 5 years
Poor
1.3%
Tragic
1.9%
Age | 5 to 17 years
Tragic
5.8%
Tragic
6.6%
Age | 18 to 34 years
Tragic
7.4%
Tragic
7.8%
Age | 35 to 64 years
Tragic
13.6%
Tragic
12.8%
Age | 65 to 74 years
Tragic
26.8%
Poor
24.0%
Age | Over 75 years
Tragic
49.4%
Good
47.2%
Vision
Tragic
2.3%
Poor
2.2%
Hearing
Tragic
3.2%
Tragic
3.7%
Cognitive
Tragic
18.6%
Exceptional
16.6%
Ambulatory
Poor
6.3%
Tragic
6.8%
Self-Care
Tragic
2.8%
Average
2.5%