Pennsylvania German vs Pima Community Comparison

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Pennsylvania German
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto 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
Pima
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

Pima

Fair
Poor
3,991
SOCIAL INDEX
37.4/ 100
SOCIAL RATING
207th/ 347
SOCIAL RANK
1,700
SOCIAL INDEX
14.5/ 100
SOCIAL RATING
291st/ 347
SOCIAL RANK

Pima Integration in Pennsylvania German Communities

The statistical analysis conducted on geographies consisting of 49,674,160 people shows a perfect positive correlation between the proportion of Pima within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.968. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.072% in Pima. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 72.3 Pima.
Pennsylvania German Integration in Pima Communities

Pennsylvania German vs Pima Income

When considering income, the most significant differences between Pennsylvania German and Pima communities in the United States are seen in wage/income gap (30.7% compared to 21.1%, a difference of 45.4%), householder income ages 45 - 64 years ($91,956 compared to $73,365, a difference of 25.3%), and per capita income ($37,842 compared to $30,644, a difference of 23.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,852 compared to $51,503, a difference of 1.3%), median female earnings ($34,802 compared to $35,326, a difference of 1.5%), and householder income ages 25 - 44 years ($85,836 compared to $82,821, a difference of 3.6%).
Pennsylvania German vs Pima Income
Income MetricPennsylvania GermanPima
Per Capita Income
Tragic
$37,842
Tragic
$30,644
Median Family Income
Tragic
$91,763
Tragic
$77,431
Median Household Income
Tragic
$75,814
Tragic
$63,262
Median Earnings
Tragic
$42,615
Tragic
$38,285
Median Male Earnings
Tragic
$50,878
Tragic
$42,357
Median Female Earnings
Tragic
$34,802
Tragic
$35,326
Householder Age | Under 25 years
Tragic
$50,852
Poor
$51,503
Householder Age | 25 - 44 years
Tragic
$85,836
Tragic
$82,821
Householder Age | 45 - 64 years
Tragic
$91,956
Tragic
$73,365
Householder Age | Over 65 years
Tragic
$52,888
Tragic
$50,539
Wage/Income Gap
Tragic
30.7%
Exceptional
21.1%

Pennsylvania German vs Pima Poverty

When considering poverty, the most significant differences between Pennsylvania German and Pima communities in the United States are seen in married-couple family poverty (5.1% compared to 11.4%, a difference of 123.6%), family poverty (8.8% compared to 18.4%, a difference of 108.4%), and seniors poverty over the age of 75 (11.8% compared to 23.9%, a difference of 102.6%). Conversely, both communities are more comparable in terms of single mother poverty (33.2% compared to 38.6%, a difference of 16.1%), single female poverty (23.6% compared to 30.3%, a difference of 28.7%), and single male poverty (15.6% compared to 20.2%, a difference of 29.5%).
Pennsylvania German vs Pima Poverty
Poverty MetricPennsylvania GermanPima
Poverty
Good
12.2%
Tragic
21.9%
Families
Good
8.8%
Tragic
18.4%
Males
Average
11.2%
Tragic
20.4%
Females
Good
13.2%
Tragic
23.6%
Females 18 to 24 years
Excellent
19.7%
Tragic
28.4%
Females 25 to 34 years
Tragic
15.4%
Tragic
25.3%
Children Under 5 years
Tragic
19.8%
Tragic
27.4%
Children Under 16 years
Tragic
17.4%
Tragic
29.0%
Boys Under 16 years
Tragic
17.9%
Tragic
29.7%
Girls Under 16 years
Tragic
17.8%
Tragic
28.2%
Single Males
Tragic
15.6%
Tragic
20.2%
Single Females
Tragic
23.6%
Tragic
30.3%
Single Fathers
Tragic
20.0%
Exceptional
14.8%
Single Mothers
Tragic
33.2%
Tragic
38.6%
Married Couples
Good
5.1%
Tragic
11.4%
Seniors Over 65 years
Exceptional
9.9%
Tragic
19.8%
Seniors Over 75 years
Excellent
11.8%
Tragic
23.9%
Receiving Food Stamps
Good
11.4%
Tragic
19.0%

Pennsylvania German vs Pima Unemployment

When considering unemployment, the most significant differences between Pennsylvania German and Pima communities in the United States are seen in unemployment among ages 35 to 44 years (4.7% compared to 11.8%, a difference of 151.3%), unemployment among women with children under 18 years (5.7% compared to 11.7%, a difference of 104.5%), and female unemployment (4.8% compared to 9.3%, a difference of 93.7%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 0.16%), unemployment among seniors over 75 years (10.2% compared to 9.2%, a difference of 10.4%), and unemployment among ages 65 to 74 years (5.8% compared to 6.6%, a difference of 14.1%).
Pennsylvania German vs Pima Unemployment
Unemployment MetricPennsylvania GermanPima
Unemployment
Exceptional
4.6%
Tragic
8.2%
Males
Exceptional
4.8%
Tragic
8.3%
Females
Exceptional
4.8%
Tragic
9.3%
Youth < 25
Exceptional
10.6%
Tragic
16.2%
Age | 16 to 19 years
Exceptional
16.2%
Tragic
23.1%
Age | 20 to 24 years
Exceptional
10.0%
Tragic
14.2%
Age | 25 to 29 years
Tragic
7.4%
Tragic
11.8%
Age | 30 to 34 years
Tragic
6.3%
Tragic
9.6%
Age | 35 to 44 years
Average
4.7%
Tragic
11.8%
Age | 45 to 54 years
Exceptional
4.3%
Tragic
6.4%
Age | 55 to 59 years
Excellent
4.7%
Tragic
6.6%
Age | 60 to 64 years
Excellent
4.8%
Excellent
4.8%
Age | 65 to 74 years
Tragic
5.8%
Tragic
6.6%
Seniors > 65
Tragic
5.4%
Tragic
6.3%
Seniors > 75
Tragic
10.2%
Tragic
9.2%
Women w/ Children < 6
Tragic
10.8%
Tragic
13.4%
Women w/ Children 6 to 17
Tragic
11.0%
Tragic
18.9%
Women w/ Children < 18
Tragic
5.7%
Tragic
11.7%

Pennsylvania German vs Pima Labor Participation

When considering labor participation, the most significant differences between Pennsylvania German and Pima communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 34.1%, a difference of 36.2%), in labor force | age 20-64 (78.4% compared to 69.0%, a difference of 13.6%), and in labor force | age 20-24 (78.0% compared to 69.0%, a difference of 13.0%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (82.6% compared to 79.0%, a difference of 4.5%), in labor force | age > 16 (63.4% compared to 57.4%, a difference of 10.4%), and in labor force | age 35-44 (82.9% compared to 74.8%, a difference of 10.8%).
Pennsylvania German vs Pima Labor Participation
Labor Participation MetricPennsylvania GermanPima
In Labor Force | Age > 16
Tragic
63.4%
Tragic
57.4%
In Labor Force | Age 20-64
Tragic
78.4%
Tragic
69.0%
In Labor Force | Age 16-19
Exceptional
46.4%
Tragic
34.1%
In Labor Force | Age 20-24
Exceptional
78.0%
Tragic
69.0%
In Labor Force | Age 25-29
Tragic
83.6%
Tragic
74.3%
In Labor Force | Age 30-34
Tragic
82.6%
Tragic
79.0%
In Labor Force | Age 35-44
Tragic
82.9%
Tragic
74.8%
In Labor Force | Age 45-54
Tragic
81.6%
Tragic
72.8%

Pennsylvania German vs Pima Family Structure

When considering family structure, the most significant differences between Pennsylvania German and Pima communities in the United States are seen in single father households (2.4% compared to 4.2%, a difference of 70.6%), births to unmarried women (34.0% compared to 51.5%, a difference of 51.4%), and single mother households (5.8% compared to 8.3%, a difference of 42.4%). Conversely, both communities are more comparable in terms of family households (66.1% compared to 65.9%, a difference of 0.29%), family households with children (27.4% compared to 27.1%, a difference of 0.99%), and divorced or separated (12.1% compared to 12.9%, a difference of 6.8%).
Pennsylvania German vs Pima Family Structure
Family Structure MetricPennsylvania GermanPima
Family Households
Exceptional
66.1%
Exceptional
65.9%
Family Households with Children
Fair
27.4%
Tragic
27.1%
Married-couple Households
Exceptional
50.4%
Tragic
35.6%
Average Family Size
Tragic
3.19
Exceptional
3.75
Single Father Households
Tragic
2.4%
Tragic
4.2%
Single Mother Households
Exceptional
5.8%
Tragic
8.3%
Currently Married
Exceptional
49.6%
Tragic
35.9%
Divorced or Separated
Average
12.1%
Tragic
12.9%
Births to Unmarried Women
Tragic
34.0%
Tragic
51.5%

Pennsylvania German vs Pima Vehicle Availability

When considering vehicle availability, the most significant differences between Pennsylvania German and Pima communities in the United States are seen in no vehicles in household (11.0% compared to 14.1%, a difference of 28.4%), 2 or more vehicles in household (58.5% compared to 52.0%, a difference of 12.5%), and 1 or more vehicles in household (89.3% compared to 86.3%, a difference of 3.5%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (22.3% compared to 22.0%, a difference of 1.4%), 4 or more vehicles in household (7.6% compared to 7.9%, a difference of 3.3%), and 1 or more vehicles in household (89.3% compared to 86.3%, a difference of 3.5%).
Pennsylvania German vs Pima Vehicle Availability
Vehicle Availability MetricPennsylvania GermanPima
No Vehicles Available
Poor
11.0%
Tragic
14.1%
1+ Vehicles Available
Fair
89.3%
Tragic
86.3%
2+ Vehicles Available
Exceptional
58.5%
Tragic
52.0%
3+ Vehicles Available
Exceptional
22.3%
Exceptional
22.0%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
7.9%

Pennsylvania German vs Pima Education Level

When considering education level, the most significant differences between Pennsylvania German and Pima communities in the United States are seen in no schooling completed (1.5% compared to 2.1%, a difference of 42.6%), associate's degree (37.2% compared to 30.2%, a difference of 23.2%), and bachelor's degree (28.4% compared to 23.2%, a difference of 22.3%). Conversely, both communities are more comparable in terms of kindergarten (98.6% compared to 98.2%, a difference of 0.39%), 1st grade (98.6% compared to 98.2%, a difference of 0.39%), and nursery school (98.6% compared to 98.2%, a difference of 0.40%).
Pennsylvania German vs Pima Education Level
Education Level MetricPennsylvania GermanPima
No Schooling Completed
Exceptional
1.5%
Average
2.1%
Nursery School
Exceptional
98.6%
Exceptional
98.2%
Kindergarten
Exceptional
98.6%
Exceptional
98.2%
1st Grade
Exceptional
98.6%
Exceptional
98.2%
2nd Grade
Exceptional
98.5%
Exceptional
98.2%
3rd Grade
Exceptional
98.5%
Exceptional
98.0%
4th Grade
Exceptional
98.4%
Exceptional
97.7%
5th Grade
Exceptional
98.3%
Exceptional
97.6%
6th Grade
Exceptional
98.1%
Excellent
97.2%
7th Grade
Exceptional
97.6%
Good
96.1%
8th Grade
Exceptional
97.3%
Fair
95.6%
9th Grade
Tragic
93.3%
Tragic
93.9%
10th Grade
Tragic
91.9%
Tragic
91.2%
11th Grade
Tragic
90.3%
Tragic
88.3%
12th Grade, No Diploma
Tragic
88.7%
Tragic
84.6%
High School Diploma
Tragic
87.0%
Tragic
81.6%
GED/Equivalency
Tragic
82.9%
Tragic
76.4%
College, Under 1 year
Tragic
54.5%
Tragic
51.4%
College, 1 year or more
Tragic
48.5%
Tragic
45.6%
Associate's Degree
Tragic
37.2%
Tragic
30.2%
Bachelor's Degree
Tragic
28.4%
Tragic
23.2%
Master's Degree
Tragic
10.7%
Tragic
9.2%
Professional Degree
Tragic
3.0%
Tragic
3.3%
Doctorate Degree
Tragic
1.4%
Tragic
1.3%

Pennsylvania German vs Pima Disability

When considering disability, the most significant differences between Pennsylvania German and Pima communities in the United States are seen in disability age under 5 (1.9% compared to 1.1%, a difference of 83.8%), disability age 65 to 74 (24.0% compared to 38.6%, a difference of 61.0%), and vision disability (2.2% compared to 3.3%, a difference of 49.6%). Conversely, both communities are more comparable in terms of hearing disability (3.7% compared to 3.7%, a difference of 0.63%), disability age 18 to 34 (7.8% compared to 7.7%, a difference of 0.93%), and male disability (13.0% compared to 12.8%, a difference of 1.1%).
Pennsylvania German vs Pima Disability
Disability MetricPennsylvania GermanPima
Disability
Tragic
13.2%
Tragic
13.7%
Males
Tragic
13.0%
Tragic
12.8%
Females
Tragic
13.4%
Tragic
14.8%
Age | Under 5 years
Tragic
1.9%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
6.6%
Tragic
6.2%
Age | 18 to 34 years
Tragic
7.8%
Tragic
7.7%
Age | 35 to 64 years
Tragic
12.8%
Tragic
16.1%
Age | 65 to 74 years
Poor
24.0%
Tragic
38.6%
Age | Over 75 years
Good
47.2%
Tragic
55.8%
Vision
Poor
2.2%
Tragic
3.3%
Hearing
Tragic
3.7%
Tragic
3.7%
Cognitive
Exceptional
16.6%
Tragic
18.8%
Ambulatory
Tragic
6.8%
Tragic
8.2%
Self-Care
Average
2.5%
Tragic
2.8%