Tlingit-Haida vs Pennsylvania German Community Comparison

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Tlingit-Haida
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 ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Tlingit-Haida

Pennsylvania Germans

Average
Fair
5,201
SOCIAL INDEX
49.5/ 100
SOCIAL RATING
182nd/ 347
SOCIAL RANK
3,991
SOCIAL INDEX
37.4/ 100
SOCIAL RATING
207th/ 347
SOCIAL RANK

Pennsylvania German Integration in Tlingit-Haida Communities

The statistical analysis conducted on geographies consisting of 45,453,233 people shows a weak negative correlation between the proportion of Pennsylvania Germans within Tlingit-Haida communities in the United States with a correlation coefficient (R) of -0.299. On average, for every 1% (one percent) increase in Tlingit-Haida within a typical geography, there is a decrease of 0.017% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Tlingit-Haida corresponds to a decrease of 16.7 Pennsylvania Germans.
Tlingit-Haida Integration in Pennsylvania German Communities

Tlingit-Haida vs Pennsylvania German Income

When considering income, the most significant differences between Tlingit-Haida and Pennsylvania German communities in the United States are seen in wage/income gap (24.0% compared to 30.7%, a difference of 28.1%), householder income over 65 years ($62,922 compared to $52,888, a difference of 19.0%), and per capita income ($43,516 compared to $37,842, a difference of 15.0%). Conversely, both communities are more comparable in terms of median male earnings ($52,409 compared to $50,878, a difference of 3.0%), householder income ages 45 - 64 years ($97,417 compared to $91,956, a difference of 5.9%), and median earnings ($45,468 compared to $42,615, a difference of 6.7%).
Tlingit-Haida vs Pennsylvania German Income
Income MetricTlingit-HaidaPennsylvania German
Per Capita Income
Average
$43,516
Tragic
$37,842
Median Family Income
Fair
$101,092
Tragic
$91,763
Median Household Income
Fair
$83,968
Tragic
$75,814
Median Earnings
Fair
$45,468
Tragic
$42,615
Median Male Earnings
Poor
$52,409
Tragic
$50,878
Median Female Earnings
Average
$39,513
Tragic
$34,802
Householder Age | Under 25 years
Exceptional
$55,914
Tragic
$50,852
Householder Age | 25 - 44 years
Fair
$92,987
Tragic
$85,836
Householder Age | 45 - 64 years
Poor
$97,417
Tragic
$91,956
Householder Age | Over 65 years
Excellent
$62,922
Tragic
$52,888
Wage/Income Gap
Exceptional
24.0%
Tragic
30.7%

Tlingit-Haida vs Pennsylvania German Poverty

When considering poverty, the most significant differences between Tlingit-Haida and Pennsylvania German communities in the United States are seen in single male poverty (11.6% compared to 15.6%, a difference of 34.2%), single father poverty (15.3% compared to 20.0%, a difference of 30.4%), and child poverty under the age of 5 (15.9% compared to 19.8%, a difference of 24.0%). Conversely, both communities are more comparable in terms of receiving food stamps (11.6% compared to 11.4%, a difference of 1.5%), male poverty (10.9% compared to 11.2%, a difference of 2.9%), and poverty (11.7% compared to 12.2%, a difference of 4.2%).
Tlingit-Haida vs Pennsylvania German Poverty
Poverty MetricTlingit-HaidaPennsylvania German
Poverty
Excellent
11.7%
Good
12.2%
Families
Exceptional
8.0%
Good
8.8%
Males
Good
10.9%
Average
11.2%
Females
Exceptional
12.5%
Good
13.2%
Females 18 to 24 years
Tragic
22.0%
Excellent
19.7%
Females 25 to 34 years
Fair
13.8%
Tragic
15.4%
Children Under 5 years
Exceptional
15.9%
Tragic
19.8%
Children Under 16 years
Exceptional
14.9%
Tragic
17.4%
Boys Under 16 years
Exceptional
15.3%
Tragic
17.9%
Girls Under 16 years
Exceptional
14.7%
Tragic
17.8%
Single Males
Exceptional
11.6%
Tragic
15.6%
Single Females
Tragic
21.9%
Tragic
23.6%
Single Fathers
Exceptional
15.3%
Tragic
20.0%
Single Mothers
Tragic
30.9%
Tragic
33.2%
Married Couples
Exceptional
4.4%
Good
5.1%
Seniors Over 65 years
Exceptional
8.3%
Exceptional
9.9%
Seniors Over 75 years
Exceptional
9.7%
Excellent
11.8%
Receiving Food Stamps
Average
11.6%
Good
11.4%

Tlingit-Haida vs Pennsylvania German Unemployment

When considering unemployment, the most significant differences between Tlingit-Haida and Pennsylvania German communities in the United States are seen in unemployment among seniors over 75 years (20.7% compared to 10.2%, a difference of 103.9%), unemployment among women with children ages 6 to 17 years (7.1% compared to 11.0%, a difference of 55.8%), and unemployment among ages 16 to 19 years (23.5% compared to 16.2%, a difference of 45.2%). Conversely, both communities are more comparable in terms of female unemployment (4.9% compared to 4.8%, a difference of 2.5%), unemployment among ages 20 to 24 years (10.3% compared to 10.0%, a difference of 3.0%), and unemployment among ages 30 to 34 years (6.0% compared to 6.3%, a difference of 4.2%).
Tlingit-Haida vs Pennsylvania German Unemployment
Unemployment MetricTlingit-HaidaPennsylvania German
Unemployment
Tragic
5.6%
Exceptional
4.6%
Males
Tragic
6.0%
Exceptional
4.8%
Females
Exceptional
4.9%
Exceptional
4.8%
Youth < 25
Tragic
12.7%
Exceptional
10.6%
Age | 16 to 19 years
Tragic
23.5%
Exceptional
16.2%
Age | 20 to 24 years
Fair
10.3%
Exceptional
10.0%
Age | 25 to 29 years
Tragic
8.7%
Tragic
7.4%
Age | 30 to 34 years
Tragic
6.0%
Tragic
6.3%
Age | 35 to 44 years
Exceptional
4.3%
Average
4.7%
Age | 45 to 54 years
Tragic
4.7%
Exceptional
4.3%
Age | 55 to 59 years
Tragic
5.7%
Excellent
4.7%
Age | 60 to 64 years
Tragic
6.4%
Excellent
4.8%
Age | 65 to 74 years
Tragic
6.5%
Tragic
5.8%
Seniors > 65
Tragic
6.8%
Tragic
5.4%
Seniors > 75
Tragic
20.7%
Tragic
10.2%
Women w/ Children < 6
Tragic
8.9%
Tragic
10.8%
Women w/ Children 6 to 17
Exceptional
7.1%
Tragic
11.0%
Women w/ Children < 18
Good
5.4%
Tragic
5.7%

Tlingit-Haida vs Pennsylvania German Labor Participation

When considering labor participation, the most significant differences between Tlingit-Haida and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 46.4%, a difference of 14.7%), in labor force | age > 16 (65.5% compared to 63.4%, a difference of 3.4%), and in labor force | age 45-54 (83.9% compared to 81.6%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.9% compared to 78.0%, a difference of 0.050%), in labor force | age 30-34 (82.3% compared to 82.6%, a difference of 0.35%), and in labor force | age 35-44 (82.5% compared to 82.9%, a difference of 0.40%).
Tlingit-Haida vs Pennsylvania German Labor Participation
Labor Participation MetricTlingit-HaidaPennsylvania German
In Labor Force | Age > 16
Excellent
65.5%
Tragic
63.4%
In Labor Force | Age 20-64
Tragic
79.0%
Tragic
78.4%
In Labor Force | Age 16-19
Exceptional
40.5%
Exceptional
46.4%
In Labor Force | Age 20-24
Exceptional
77.9%
Exceptional
78.0%
In Labor Force | Age 25-29
Poor
84.4%
Tragic
83.6%
In Labor Force | Age 30-34
Tragic
82.3%
Tragic
82.6%
In Labor Force | Age 35-44
Tragic
82.5%
Tragic
82.9%
In Labor Force | Age 45-54
Exceptional
83.9%
Tragic
81.6%

Tlingit-Haida vs Pennsylvania German Family Structure

When considering family structure, the most significant differences between Tlingit-Haida and Pennsylvania German communities in the United States are seen in married-couple households (45.1% compared to 50.4%, a difference of 11.5%), divorced or separated (13.2% compared to 12.1%, a difference of 9.3%), and single father households (2.7% compared to 2.4%, a difference of 9.3%). Conversely, both communities are more comparable in terms of single mother households (5.7% compared to 5.8%, a difference of 1.2%), average family size (3.16 compared to 3.19, a difference of 1.3%), and family households with children (26.0% compared to 27.4%, a difference of 5.1%).
Tlingit-Haida vs Pennsylvania German Family Structure
Family Structure MetricTlingit-HaidaPennsylvania German
Family Households
Tragic
61.6%
Exceptional
66.1%
Family Households with Children
Tragic
26.0%
Fair
27.4%
Married-couple Households
Tragic
45.1%
Exceptional
50.4%
Average Family Size
Tragic
3.16
Tragic
3.19
Single Father Households
Tragic
2.7%
Tragic
2.4%
Single Mother Households
Exceptional
5.7%
Exceptional
5.8%
Currently Married
Average
46.7%
Exceptional
49.6%
Divorced or Separated
Tragic
13.2%
Average
12.1%
Births to Unmarried Women
Fair
32.2%
Tragic
34.0%

Tlingit-Haida vs Pennsylvania German Vehicle Availability

When considering vehicle availability, the most significant differences between Tlingit-Haida and Pennsylvania German communities in the United States are seen in 3 or more vehicles in household (19.9% compared to 22.3%, a difference of 12.4%), 4 or more vehicles in household (6.8% compared to 7.6%, a difference of 11.3%), and no vehicles in household (10.1% compared to 11.0%, a difference of 9.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 89.3%, a difference of 0.89%), 2 or more vehicles in household (55.8% compared to 58.5%, a difference of 4.9%), and no vehicles in household (10.1% compared to 11.0%, a difference of 9.3%).
Tlingit-Haida vs Pennsylvania German Vehicle Availability
Vehicle Availability MetricTlingit-HaidaPennsylvania German
No Vehicles Available
Good
10.1%
Poor
11.0%
1+ Vehicles Available
Good
90.1%
Fair
89.3%
2+ Vehicles Available
Good
55.8%
Exceptional
58.5%
3+ Vehicles Available
Good
19.9%
Exceptional
22.3%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
7.6%

Tlingit-Haida vs Pennsylvania German Education Level

When considering education level, the most significant differences between Tlingit-Haida and Pennsylvania German communities in the United States are seen in professional degree (4.0% compared to 3.0%, a difference of 34.3%), doctorate degree (1.7% compared to 1.4%, a difference of 23.4%), and college, 1 year or more (59.4% compared to 48.5%, a difference of 22.4%). Conversely, both communities are more comparable in terms of 6th grade (98.1% compared to 98.1%, a difference of 0.030%), 8th grade (97.3% compared to 97.3%, a difference of 0.030%), and 4th grade (98.4% compared to 98.4%, a difference of 0.040%).
Tlingit-Haida vs Pennsylvania German Education Level
Education Level MetricTlingit-HaidaPennsylvania German
No Schooling Completed
Exceptional
1.5%
Exceptional
1.5%
Nursery School
Exceptional
98.7%
Exceptional
98.6%
Kindergarten
Exceptional
98.7%
Exceptional
98.6%
1st Grade
Exceptional
98.7%
Exceptional
98.6%
2nd Grade
Exceptional
98.6%
Exceptional
98.5%
3rd Grade
Exceptional
98.5%
Exceptional
98.5%
4th Grade
Exceptional
98.4%
Exceptional
98.4%
5th Grade
Exceptional
98.3%
Exceptional
98.3%
6th Grade
Exceptional
98.1%
Exceptional
98.1%
7th Grade
Exceptional
97.5%
Exceptional
97.6%
8th Grade
Exceptional
97.3%
Exceptional
97.3%
9th Grade
Exceptional
96.6%
Tragic
93.3%
10th Grade
Exceptional
95.7%
Tragic
91.9%
11th Grade
Exceptional
94.4%
Tragic
90.3%
12th Grade, No Diploma
Exceptional
93.0%
Tragic
88.7%
High School Diploma
Exceptional
91.4%
Tragic
87.0%
GED/Equivalency
Exceptional
87.0%
Tragic
82.9%
College, Under 1 year
Good
65.9%
Tragic
54.5%
College, 1 year or more
Average
59.4%
Tragic
48.5%
Associate's Degree
Tragic
43.0%
Tragic
37.2%
Bachelor's Degree
Tragic
34.6%
Tragic
28.4%
Master's Degree
Tragic
12.8%
Tragic
10.7%
Professional Degree
Tragic
4.0%
Tragic
3.0%
Doctorate Degree
Poor
1.7%
Tragic
1.4%

Tlingit-Haida vs Pennsylvania German Disability

When considering disability, the most significant differences between Tlingit-Haida and Pennsylvania German communities in the United States are seen in hearing disability (4.8% compared to 3.7%, a difference of 29.6%), vision disability (2.9% compared to 2.2%, a difference of 28.2%), and disability age under 5 (1.5% compared to 1.9%, a difference of 26.4%). Conversely, both communities are more comparable in terms of self-care disability (2.4% compared to 2.5%, a difference of 1.1%), female disability (13.2% compared to 13.4%, a difference of 1.5%), and disability age 18 to 34 (7.7% compared to 7.8%, a difference of 1.5%).
Tlingit-Haida vs Pennsylvania German Disability
Disability MetricTlingit-HaidaPennsylvania German
Disability
Tragic
13.5%
Tragic
13.2%
Males
Tragic
13.8%
Tragic
13.0%
Females
Tragic
13.2%
Tragic
13.4%
Age | Under 5 years
Tragic
1.5%
Tragic
1.9%
Age | 5 to 17 years
Tragic
5.9%
Tragic
6.6%
Age | 18 to 34 years
Tragic
7.7%
Tragic
7.8%
Age | 35 to 64 years
Tragic
13.2%
Tragic
12.8%
Age | 65 to 74 years
Tragic
27.1%
Poor
24.0%
Age | Over 75 years
Tragic
50.6%
Good
47.2%
Vision
Tragic
2.9%
Poor
2.2%
Hearing
Tragic
4.8%
Tragic
3.7%
Cognitive
Average
17.2%
Exceptional
16.6%
Ambulatory
Tragic
6.5%
Tragic
6.8%
Self-Care
Good
2.4%
Average
2.5%