Tlingit-Haida vs 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 CanadianGerman 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
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

Germans

Average
Good
5,201
SOCIAL INDEX
49.5/ 100
SOCIAL RATING
182nd/ 347
SOCIAL RANK
6,819
SOCIAL INDEX
65.7/ 100
SOCIAL RATING
140th/ 347
SOCIAL RANK

German Integration in Tlingit-Haida Communities

The statistical analysis conducted on geographies consisting of 60,870,067 people shows a moderate negative correlation between the proportion of Germans within Tlingit-Haida communities in the United States with a correlation coefficient (R) of -0.495. On average, for every 1% (one percent) increase in Tlingit-Haida within a typical geography, there is a decrease of 0.139% in Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Tlingit-Haida corresponds to a decrease of 138.5 Germans.
Tlingit-Haida Integration in German Communities

Tlingit-Haida vs German Income

When considering income, the most significant differences between Tlingit-Haida and German communities in the United States are seen in wage/income gap (24.0% compared to 29.2%, a difference of 21.7%), householder income under 25 years ($55,914 compared to $50,804, a difference of 10.1%), and householder income over 65 years ($62,922 compared to $59,730, a difference of 5.3%). Conversely, both communities are more comparable in terms of householder income ages 25 - 44 years ($92,987 compared to $93,531, a difference of 0.58%), median household income ($83,968 compared to $83,358, a difference of 0.73%), and median earnings ($45,468 compared to $45,935, a difference of 1.0%).
Tlingit-Haida vs German Income
Income MetricTlingit-HaidaGerman
Per Capita Income
Average
$43,516
Fair
$43,067
Median Family Income
Fair
$101,092
Average
$102,254
Median Household Income
Fair
$83,968
Fair
$83,358
Median Earnings
Fair
$45,468
Fair
$45,935
Median Male Earnings
Poor
$52,409
Good
$54,974
Median Female Earnings
Average
$39,513
Tragic
$37,986
Householder Age | Under 25 years
Exceptional
$55,914
Tragic
$50,804
Householder Age | 25 - 44 years
Fair
$92,987
Fair
$93,531
Householder Age | 45 - 64 years
Poor
$97,417
Average
$100,224
Householder Age | Over 65 years
Excellent
$62,922
Fair
$59,730
Wage/Income Gap
Exceptional
24.0%
Tragic
29.2%

Tlingit-Haida vs German Poverty

When considering poverty, the most significant differences between Tlingit-Haida and German communities in the United States are seen in single male poverty (11.6% compared to 13.9%, a difference of 20.2%), receiving food stamps (11.6% compared to 9.7%, a difference of 18.9%), and single father poverty (15.3% compared to 17.7%, a difference of 15.4%). Conversely, both communities are more comparable in terms of single female poverty (21.9% compared to 21.8%, a difference of 0.70%), female poverty among 25-34 year olds (13.8% compared to 13.6%, a difference of 1.2%), and child poverty among girls under 16 (14.7% compared to 14.9%, a difference of 1.9%).
Tlingit-Haida vs German Poverty
Poverty MetricTlingit-HaidaGerman
Poverty
Excellent
11.7%
Exceptional
11.1%
Families
Exceptional
8.0%
Exceptional
7.7%
Males
Good
10.9%
Exceptional
10.1%
Females
Exceptional
12.5%
Exceptional
12.2%
Females 18 to 24 years
Tragic
22.0%
Fair
20.4%
Females 25 to 34 years
Fair
13.8%
Average
13.6%
Children Under 5 years
Exceptional
15.9%
Excellent
16.5%
Children Under 16 years
Exceptional
14.9%
Exceptional
14.5%
Boys Under 16 years
Exceptional
15.3%
Exceptional
14.8%
Girls Under 16 years
Exceptional
14.7%
Exceptional
14.9%
Single Males
Exceptional
11.6%
Tragic
13.9%
Single Females
Tragic
21.9%
Tragic
21.8%
Single Fathers
Exceptional
15.3%
Tragic
17.7%
Single Mothers
Tragic
30.9%
Tragic
30.0%
Married Couples
Exceptional
4.4%
Exceptional
4.0%
Seniors Over 65 years
Exceptional
8.3%
Exceptional
9.0%
Seniors Over 75 years
Exceptional
9.7%
Exceptional
10.4%
Receiving Food Stamps
Average
11.6%
Exceptional
9.7%

Tlingit-Haida vs German Unemployment

When considering unemployment, the most significant differences between Tlingit-Haida and German communities in the United States are seen in unemployment among seniors over 75 years (20.7% compared to 10.3%, a difference of 102.2%), unemployment among ages 16 to 19 years (23.5% compared to 15.7%, a difference of 50.3%), and unemployment among ages 60 to 64 years (6.4% compared to 4.5%, a difference of 42.3%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.3% compared to 4.3%, a difference of 1.8%), unemployment among ages 20 to 24 years (10.3% compared to 9.6%, a difference of 8.0%), and female unemployment (4.9% compared to 4.5%, a difference of 10.2%).
Tlingit-Haida vs German Unemployment
Unemployment MetricTlingit-HaidaGerman
Unemployment
Tragic
5.6%
Exceptional
4.5%
Males
Tragic
6.0%
Exceptional
4.7%
Females
Exceptional
4.9%
Exceptional
4.5%
Youth < 25
Tragic
12.7%
Exceptional
10.5%
Age | 16 to 19 years
Tragic
23.5%
Exceptional
15.7%
Age | 20 to 24 years
Fair
10.3%
Exceptional
9.6%
Age | 25 to 29 years
Tragic
8.7%
Excellent
6.5%
Age | 30 to 34 years
Tragic
6.0%
Good
5.3%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
4.3%
Age | 45 to 54 years
Tragic
4.7%
Exceptional
4.1%
Age | 55 to 59 years
Tragic
5.7%
Exceptional
4.5%
Age | 60 to 64 years
Tragic
6.4%
Exceptional
4.5%
Age | 65 to 74 years
Tragic
6.5%
Exceptional
5.1%
Seniors > 65
Tragic
6.8%
Exceptional
4.9%
Seniors > 75
Tragic
20.7%
Tragic
10.3%
Women w/ Children < 6
Tragic
8.9%
Tragic
8.0%
Women w/ Children 6 to 17
Exceptional
7.1%
Tragic
9.2%
Women w/ Children < 18
Good
5.4%
Exceptional
4.9%

Tlingit-Haida vs German Labor Participation

When considering labor participation, the most significant differences between Tlingit-Haida and German communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 44.2%, a difference of 9.1%), in labor force | age 30-34 (82.3% compared to 84.8%, a difference of 3.1%), and in labor force | age 35-44 (82.5% compared to 84.7%, a difference of 2.6%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.0% compared to 79.7%, a difference of 0.82%), in labor force | age 20-24 (77.9% compared to 78.6%, a difference of 0.85%), and in labor force | age 25-29 (84.4% compared to 85.3%, a difference of 0.99%).
Tlingit-Haida vs German Labor Participation
Labor Participation MetricTlingit-HaidaGerman
In Labor Force | Age > 16
Excellent
65.5%
Tragic
64.4%
In Labor Force | Age 20-64
Tragic
79.0%
Good
79.7%
In Labor Force | Age 16-19
Exceptional
40.5%
Exceptional
44.2%
In Labor Force | Age 20-24
Exceptional
77.9%
Exceptional
78.6%
In Labor Force | Age 25-29
Poor
84.4%
Exceptional
85.3%
In Labor Force | Age 30-34
Tragic
82.3%
Good
84.8%
In Labor Force | Age 35-44
Tragic
82.5%
Exceptional
84.7%
In Labor Force | Age 45-54
Exceptional
83.9%
Excellent
83.1%

Tlingit-Haida vs German Family Structure

When considering family structure, the most significant differences between Tlingit-Haida and German communities in the United States are seen in single father households (2.7% compared to 2.4%, a difference of 12.4%), married-couple households (45.1% compared to 49.2%, a difference of 8.9%), and currently married (46.7% compared to 49.6%, a difference of 6.3%). Conversely, both communities are more comparable in terms of single mother households (5.7% compared to 5.8%, a difference of 0.14%), births to unmarried women (32.2% compared to 32.0%, a difference of 0.70%), and average family size (3.16 compared to 3.09, a difference of 2.2%).
Tlingit-Haida vs German Family Structure
Family Structure MetricTlingit-HaidaGerman
Family Households
Tragic
61.6%
Good
64.4%
Family Households with Children
Tragic
26.0%
Tragic
27.1%
Married-couple Households
Tragic
45.1%
Exceptional
49.2%
Average Family Size
Tragic
3.16
Tragic
3.09
Single Father Households
Tragic
2.7%
Fair
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%
Tragic
12.5%
Births to Unmarried Women
Fair
32.2%
Fair
32.0%

Tlingit-Haida vs German Vehicle Availability

When considering vehicle availability, the most significant differences between Tlingit-Haida and German communities in the United States are seen in no vehicles in household (10.1% compared to 6.7%, a difference of 50.7%), 3 or more vehicles in household (19.9% compared to 22.7%, a difference of 14.4%), and 2 or more vehicles in household (55.8% compared to 61.6%, a difference of 10.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 93.6%, a difference of 4.0%), 4 or more vehicles in household (6.8% compared to 7.5%, a difference of 8.9%), and 2 or more vehicles in household (55.8% compared to 61.6%, a difference of 10.4%).
Tlingit-Haida vs German Vehicle Availability
Vehicle Availability MetricTlingit-HaidaGerman
No Vehicles Available
Good
10.1%
Exceptional
6.7%
1+ Vehicles Available
Good
90.1%
Exceptional
93.6%
2+ Vehicles Available
Good
55.8%
Exceptional
61.6%
3+ Vehicles Available
Good
19.9%
Exceptional
22.7%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
7.5%

Tlingit-Haida vs German Education Level

When considering education level, the most significant differences between Tlingit-Haida and German communities in the United States are seen in master's degree (12.8% compared to 14.0%, a difference of 9.2%), no schooling completed (1.5% compared to 1.4%, a difference of 7.1%), and associate's degree (43.0% compared to 45.5%, a difference of 5.7%). Conversely, both communities are more comparable in terms of nursery school (98.7% compared to 98.7%, a difference of 0.0%), kindergarten (98.7% compared to 98.7%, a difference of 0.010%), and 1st grade (98.7% compared to 98.7%, a difference of 0.010%).
Tlingit-Haida vs German Education Level
Education Level MetricTlingit-HaidaGerman
No Schooling Completed
Exceptional
1.5%
Exceptional
1.4%
Nursery School
Exceptional
98.7%
Exceptional
98.7%
Kindergarten
Exceptional
98.7%
Exceptional
98.7%
1st Grade
Exceptional
98.7%
Exceptional
98.7%
2nd Grade
Exceptional
98.6%
Exceptional
98.7%
3rd Grade
Exceptional
98.5%
Exceptional
98.6%
4th Grade
Exceptional
98.4%
Exceptional
98.5%
5th Grade
Exceptional
98.3%
Exceptional
98.4%
6th Grade
Exceptional
98.1%
Exceptional
98.2%
7th Grade
Exceptional
97.5%
Exceptional
97.7%
8th Grade
Exceptional
97.3%
Exceptional
97.5%
9th Grade
Exceptional
96.6%
Exceptional
96.7%
10th Grade
Exceptional
95.7%
Exceptional
95.8%
11th Grade
Exceptional
94.4%
Exceptional
94.7%
12th Grade, No Diploma
Exceptional
93.0%
Exceptional
93.3%
High School Diploma
Exceptional
91.4%
Exceptional
91.7%
GED/Equivalency
Exceptional
87.0%
Exceptional
87.9%
College, Under 1 year
Good
65.9%
Average
65.6%
College, 1 year or more
Average
59.4%
Fair
58.9%
Associate's Degree
Tragic
43.0%
Fair
45.5%
Bachelor's Degree
Tragic
34.6%
Poor
36.1%
Master's Degree
Tragic
12.8%
Poor
14.0%
Professional Degree
Tragic
4.0%
Poor
4.1%
Doctorate Degree
Poor
1.7%
Fair
1.8%

Tlingit-Haida vs German Disability

When considering disability, the most significant differences between Tlingit-Haida and German communities in the United States are seen in hearing disability (4.8% compared to 3.7%, a difference of 29.7%), vision disability (2.9% compared to 2.2%, a difference of 28.0%), and disability age 65 to 74 (27.1% compared to 23.3%, a difference of 16.3%). Conversely, both communities are more comparable in terms of ambulatory disability (6.5% compared to 6.5%, a difference of 0.040%), self-care disability (2.4% compared to 2.4%, a difference of 0.45%), and disability age 18 to 34 (7.7% compared to 7.7%, a difference of 0.50%).
Tlingit-Haida vs German Disability
Disability MetricTlingit-HaidaGerman
Disability
Tragic
13.5%
Tragic
12.8%
Males
Tragic
13.8%
Tragic
12.7%
Females
Tragic
13.2%
Tragic
12.9%
Age | Under 5 years
Tragic
1.5%
Tragic
1.7%
Age | 5 to 17 years
Tragic
5.9%
Tragic
6.1%
Age | 18 to 34 years
Tragic
7.7%
Tragic
7.7%
Age | 35 to 64 years
Tragic
13.2%
Tragic
12.3%
Age | 65 to 74 years
Tragic
27.1%
Average
23.3%
Age | Over 75 years
Tragic
50.6%
Exceptional
46.3%
Vision
Tragic
2.9%
Poor
2.2%
Hearing
Tragic
4.8%
Tragic
3.7%
Cognitive
Average
17.2%
Exceptional
16.7%
Ambulatory
Tragic
6.5%
Tragic
6.5%
Self-Care
Good
2.4%
Excellent
2.4%