Pennsylvania German vs Bangladeshi Community Comparison

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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
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 HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTurkishU.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

Pennsylvania Germans

Bangladeshis

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

Bangladeshi Integration in Pennsylvania German Communities

The statistical analysis conducted on geographies consisting of 93,654,528 people shows a poor negative correlation between the proportion of Bangladeshis within Pennsylvania German communities in the United States with a correlation coefficient (R) of -0.133. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is a decrease of 0.016% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to a decrease of 15.8 Bangladeshis.
Pennsylvania German Integration in Bangladeshi Communities

Pennsylvania German vs Bangladeshi Income

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

Pennsylvania German vs Bangladeshi Poverty

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

Pennsylvania German vs Bangladeshi Unemployment

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

Pennsylvania German vs Bangladeshi Labor Participation

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

Pennsylvania German vs Bangladeshi Family Structure

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

Pennsylvania German vs Bangladeshi Vehicle Availability

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

Pennsylvania German vs Bangladeshi Education Level

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

Pennsylvania German vs Bangladeshi Disability

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