Pennsylvania German vs Nigerian Community Comparison

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Pennsylvania German
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 ZealanderNicaraguanNorthern 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
Nigerian
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

Nigerians

Fair
Poor
3,991
SOCIAL INDEX
37.4/ 100
SOCIAL RATING
207th/ 347
SOCIAL RANK
1,996
SOCIAL INDEX
17.5/ 100
SOCIAL RATING
277th/ 347
SOCIAL RANK

Nigerian Integration in Pennsylvania German Communities

The statistical analysis conducted on geographies consisting of 166,627,813 people shows a moderate positive correlation between the proportion of Nigerians within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.495. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.065% in Nigerians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 64.7 Nigerians.
Pennsylvania German Integration in Nigerian Communities

Pennsylvania German vs Nigerian Income

When considering income, the most significant differences between Pennsylvania German and Nigerian communities in the United States are seen in wage/income gap (30.7% compared to 23.0%, a difference of 33.7%), median female earnings ($34,802 compared to $39,641, a difference of 13.9%), and householder income over 65 years ($52,888 compared to $58,992, a difference of 11.5%). Conversely, both communities are more comparable in terms of householder income ages 25 - 44 years ($85,836 compared to $87,730, a difference of 2.2%), median male earnings ($50,878 compared to $52,039, a difference of 2.3%), and householder income under 25 years ($50,852 compared to $49,416, a difference of 2.9%).
Pennsylvania German vs Nigerian Income
Income MetricPennsylvania GermanNigerian
Per Capita Income
Tragic
$37,842
Tragic
$41,026
Median Family Income
Tragic
$91,763
Tragic
$97,522
Median Household Income
Tragic
$75,814
Poor
$81,725
Median Earnings
Tragic
$42,615
Fair
$45,532
Median Male Earnings
Tragic
$50,878
Tragic
$52,039
Median Female Earnings
Tragic
$34,802
Average
$39,641
Householder Age | Under 25 years
Tragic
$50,852
Tragic
$49,416
Householder Age | 25 - 44 years
Tragic
$85,836
Tragic
$87,730
Householder Age | 45 - 64 years
Tragic
$91,956
Tragic
$95,492
Householder Age | Over 65 years
Tragic
$52,888
Poor
$58,992
Wage/Income Gap
Tragic
30.7%
Exceptional
23.0%

Pennsylvania German vs Nigerian Poverty

When considering poverty, the most significant differences between Pennsylvania German and Nigerian communities in the United States are seen in single father poverty (20.0% compared to 16.1%, a difference of 24.5%), single male poverty (15.6% compared to 12.9%, a difference of 20.4%), and seniors poverty over the age of 65 (9.9% compared to 11.8%, a difference of 19.0%). Conversely, both communities are more comparable in terms of child poverty among boys under 16 (17.9% compared to 18.5%, a difference of 3.3%), child poverty under the age of 5 (19.8% compared to 19.1%, a difference of 3.6%), and female poverty among 18-24 year olds (19.7% compared to 20.4%, a difference of 3.7%).
Pennsylvania German vs Nigerian Poverty
Poverty MetricPennsylvania GermanNigerian
Poverty
Good
12.2%
Tragic
13.6%
Families
Good
8.8%
Tragic
10.1%
Males
Average
11.2%
Tragic
12.3%
Females
Good
13.2%
Tragic
14.8%
Females 18 to 24 years
Excellent
19.7%
Fair
20.4%
Females 25 to 34 years
Tragic
15.4%
Tragic
14.4%
Children Under 5 years
Tragic
19.8%
Tragic
19.1%
Children Under 16 years
Tragic
17.4%
Tragic
18.4%
Boys Under 16 years
Tragic
17.9%
Tragic
18.5%
Girls Under 16 years
Tragic
17.8%
Tragic
18.7%
Single Males
Tragic
15.6%
Fair
12.9%
Single Females
Tragic
23.6%
Fair
21.4%
Single Fathers
Tragic
20.0%
Good
16.1%
Single Mothers
Tragic
33.2%
Fair
29.3%
Married Couples
Good
5.1%
Poor
5.5%
Seniors Over 65 years
Exceptional
9.9%
Tragic
11.8%
Seniors Over 75 years
Excellent
11.8%
Tragic
13.0%
Receiving Food Stamps
Good
11.4%
Tragic
13.1%

Pennsylvania German vs Nigerian Unemployment

When considering unemployment, the most significant differences between Pennsylvania German and Nigerian communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 8.2%, a difference of 31.0%), unemployment (4.6% compared to 5.8%, a difference of 26.2%), and male unemployment (4.8% compared to 5.9%, a difference of 24.4%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (7.4% compared to 7.4%, a difference of 0.50%), unemployment among seniors over 65 years (5.4% compared to 5.3%, a difference of 1.3%), and unemployment among ages 60 to 64 years (4.8% compared to 5.0%, a difference of 4.1%).
Pennsylvania German vs Nigerian Unemployment
Unemployment MetricPennsylvania GermanNigerian
Unemployment
Exceptional
4.6%
Tragic
5.8%
Males
Exceptional
4.8%
Tragic
5.9%
Females
Exceptional
4.8%
Tragic
5.8%
Youth < 25
Exceptional
10.6%
Tragic
13.0%
Age | 16 to 19 years
Exceptional
16.2%
Tragic
18.9%
Age | 20 to 24 years
Exceptional
10.0%
Tragic
11.4%
Age | 25 to 29 years
Tragic
7.4%
Tragic
7.4%
Age | 30 to 34 years
Tragic
6.3%
Tragic
6.0%
Age | 35 to 44 years
Average
4.7%
Tragic
5.1%
Age | 45 to 54 years
Exceptional
4.3%
Tragic
4.7%
Age | 55 to 59 years
Excellent
4.7%
Tragic
4.9%
Age | 60 to 64 years
Excellent
4.8%
Tragic
5.0%
Age | 65 to 74 years
Tragic
5.8%
Tragic
5.5%
Seniors > 65
Tragic
5.4%
Tragic
5.3%
Seniors > 75
Tragic
10.2%
Tragic
9.7%
Women w/ Children < 6
Tragic
10.8%
Tragic
8.2%
Women w/ Children 6 to 17
Tragic
11.0%
Tragic
10.1%
Women w/ Children < 18
Tragic
5.7%
Tragic
6.1%

Pennsylvania German vs Nigerian Labor Participation

When considering labor participation, the most significant differences between Pennsylvania German and Nigerian communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 36.1%, a difference of 28.8%), in labor force | age > 16 (63.4% compared to 66.6%, a difference of 5.1%), and in labor force | age 20-24 (78.0% compared to 74.7%, a difference of 4.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.6% compared to 84.3%, a difference of 0.77%), in labor force | age 45-54 (81.6% compared to 82.7%, a difference of 1.3%), and in labor force | age 20-64 (78.4% compared to 79.7%, a difference of 1.6%).
Pennsylvania German vs Nigerian Labor Participation
Labor Participation MetricPennsylvania GermanNigerian
In Labor Force | Age > 16
Tragic
63.4%
Exceptional
66.6%
In Labor Force | Age 20-64
Tragic
78.4%
Good
79.7%
In Labor Force | Age 16-19
Exceptional
46.4%
Fair
36.1%
In Labor Force | Age 20-24
Exceptional
78.0%
Fair
74.7%
In Labor Force | Age 25-29
Tragic
83.6%
Tragic
84.3%
In Labor Force | Age 30-34
Tragic
82.6%
Fair
84.5%
In Labor Force | Age 35-44
Tragic
82.9%
Average
84.4%
In Labor Force | Age 45-54
Tragic
81.6%
Average
82.7%

Pennsylvania German vs Nigerian Family Structure

When considering family structure, the most significant differences between Pennsylvania German and Nigerian communities in the United States are seen in single mother households (5.8% compared to 7.7%, a difference of 31.9%), married-couple households (50.4% compared to 43.2%, a difference of 16.7%), and currently married (49.6% compared to 43.4%, a difference of 14.1%). Conversely, both communities are more comparable in terms of divorced or separated (12.1% compared to 12.1%, a difference of 0.69%), average family size (3.19 compared to 3.29, a difference of 3.0%), and family households (66.1% compared to 63.9%, a difference of 3.6%).
Pennsylvania German vs Nigerian Family Structure
Family Structure MetricPennsylvania GermanNigerian
Family Households
Exceptional
66.1%
Poor
63.9%
Family Households with Children
Fair
27.4%
Exceptional
28.4%
Married-couple Households
Exceptional
50.4%
Tragic
43.2%
Average Family Size
Tragic
3.19
Exceptional
3.29
Single Father Households
Tragic
2.4%
Average
2.4%
Single Mother Households
Exceptional
5.8%
Tragic
7.7%
Currently Married
Exceptional
49.6%
Tragic
43.4%
Divorced or Separated
Average
12.1%
Fair
12.1%
Births to Unmarried Women
Tragic
34.0%
Tragic
35.3%

Pennsylvania German vs Nigerian Vehicle Availability

When considering vehicle availability, the most significant differences between Pennsylvania German and Nigerian communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.0%, a difference of 26.8%), 3 or more vehicles in household (22.3% compared to 18.6%, a difference of 20.2%), and 2 or more vehicles in household (58.5% compared to 52.8%, a difference of 10.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 88.0%, a difference of 1.4%), no vehicles in household (11.0% compared to 12.1%, a difference of 9.6%), and 2 or more vehicles in household (58.5% compared to 52.8%, a difference of 10.9%).
Pennsylvania German vs Nigerian Vehicle Availability
Vehicle Availability MetricPennsylvania GermanNigerian
No Vehicles Available
Poor
11.0%
Tragic
12.1%
1+ Vehicles Available
Fair
89.3%
Tragic
88.0%
2+ Vehicles Available
Exceptional
58.5%
Tragic
52.8%
3+ Vehicles Available
Exceptional
22.3%
Tragic
18.6%
4+ Vehicles Available
Exceptional
7.6%
Poor
6.0%

Pennsylvania German vs Nigerian Education Level

When considering education level, the most significant differences between Pennsylvania German and Nigerian communities in the United States are seen in no schooling completed (1.5% compared to 2.3%, a difference of 58.1%), professional degree (3.0% compared to 4.2%, a difference of 42.2%), and master's degree (10.7% compared to 14.9%, a difference of 38.6%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.7%, a difference of 0.97%), kindergarten (98.6% compared to 97.6%, a difference of 0.98%), and 1st grade (98.6% compared to 97.6%, a difference of 0.99%).
Pennsylvania German vs Nigerian Education Level
Education Level MetricPennsylvania GermanNigerian
No Schooling Completed
Exceptional
1.5%
Tragic
2.3%
Nursery School
Exceptional
98.6%
Tragic
97.7%
Kindergarten
Exceptional
98.6%
Tragic
97.6%
1st Grade
Exceptional
98.6%
Tragic
97.6%
2nd Grade
Exceptional
98.5%
Tragic
97.6%
3rd Grade
Exceptional
98.5%
Tragic
97.4%
4th Grade
Exceptional
98.4%
Tragic
97.1%
5th Grade
Exceptional
98.3%
Tragic
96.9%
6th Grade
Exceptional
98.1%
Tragic
96.6%
7th Grade
Exceptional
97.6%
Tragic
95.5%
8th Grade
Exceptional
97.3%
Tragic
95.2%
9th Grade
Tragic
93.3%
Tragic
94.3%
10th Grade
Tragic
91.9%
Tragic
93.1%
11th Grade
Tragic
90.3%
Tragic
91.8%
12th Grade, No Diploma
Tragic
88.7%
Tragic
90.3%
High School Diploma
Tragic
87.0%
Tragic
88.2%
GED/Equivalency
Tragic
82.9%
Tragic
84.7%
College, Under 1 year
Tragic
54.5%
Poor
64.3%
College, 1 year or more
Tragic
48.5%
Fair
58.5%
Associate's Degree
Tragic
37.2%
Poor
45.1%
Bachelor's Degree
Tragic
28.4%
Fair
37.2%
Master's Degree
Tragic
10.7%
Average
14.9%
Professional Degree
Tragic
3.0%
Fair
4.2%
Doctorate Degree
Tragic
1.4%
Fair
1.8%

Pennsylvania German vs Nigerian Disability

When considering disability, the most significant differences between Pennsylvania German and Nigerian communities in the United States are seen in disability age under 5 (1.9% compared to 1.3%, a difference of 52.7%), hearing disability (3.7% compared to 2.6%, a difference of 41.5%), and male disability (13.0% compared to 11.0%, a difference of 18.2%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (24.0% compared to 24.2%, a difference of 0.84%), self-care disability (2.5% compared to 2.4%, a difference of 0.88%), and disability age over 75 (47.2% compared to 47.7%, a difference of 1.2%).
Pennsylvania German vs Nigerian Disability
Disability MetricPennsylvania GermanNigerian
Disability
Tragic
13.2%
Excellent
11.5%
Males
Tragic
13.0%
Excellent
11.0%
Females
Tragic
13.4%
Excellent
12.0%
Age | Under 5 years
Tragic
1.9%
Fair
1.3%
Age | 5 to 17 years
Tragic
6.6%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.8%
Average
6.6%
Age | 35 to 64 years
Tragic
12.8%
Poor
11.6%
Age | 65 to 74 years
Poor
24.0%
Tragic
24.2%
Age | Over 75 years
Good
47.2%
Poor
47.7%
Vision
Poor
2.2%
Tragic
2.3%
Hearing
Tragic
3.7%
Exceptional
2.6%
Cognitive
Exceptional
16.6%
Tragic
18.1%
Ambulatory
Tragic
6.8%
Good
6.1%
Self-Care
Average
2.5%
Good
2.4%