Nigerian vs Pennsylvania German Community Comparison

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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 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/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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Nigerians

Pennsylvania Germans

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

Pennsylvania German Integration in Nigerian Communities

The statistical analysis conducted on geographies consisting of 166,626,879 people shows a poor positive correlation between the proportion of Pennsylvania Germans within Nigerian communities in the United States with a correlation coefficient (R) of 0.144. On average, for every 1% (one percent) increase in Nigerians within a typical geography, there is an increase of 0.056% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nigerians corresponds to an increase of 55.8 Pennsylvania Germans.
Nigerian Integration in Pennsylvania German Communities

Nigerian vs Pennsylvania German Income

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

Nigerian vs Pennsylvania German Poverty

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

Nigerian vs Pennsylvania German Unemployment

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

Nigerian vs Pennsylvania German Labor Participation

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

Nigerian vs Pennsylvania German Family Structure

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

Nigerian vs Pennsylvania German Vehicle Availability

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

Nigerian vs Pennsylvania German Education Level

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

Nigerian vs Pennsylvania German Disability

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