Japanese vs Tlingit-Haida Community Comparison

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Japanese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTohono 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
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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Japanese

Tlingit-Haida

Fair
Average
2,662
SOCIAL INDEX
24.2/ 100
SOCIAL RATING
248th/ 347
SOCIAL RANK
5,201
SOCIAL INDEX
49.5/ 100
SOCIAL RATING
182nd/ 347
SOCIAL RANK

Tlingit-Haida Integration in Japanese Communities

The statistical analysis conducted on geographies consisting of 49,604,334 people shows a slight negative correlation between the proportion of Tlingit-Haida within Japanese communities in the United States with a correlation coefficient (R) of -0.055. On average, for every 1% (one percent) increase in Japanese within a typical geography, there is a decrease of 0.003% in Tlingit-Haida. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Japanese corresponds to a decrease of 3.2 Tlingit-Haida.
Japanese Integration in Tlingit-Haida Communities

Japanese vs Tlingit-Haida Income

When considering income, the most significant differences between Japanese and Tlingit-Haida communities in the United States are seen in per capita income ($39,870 compared to $43,516, a difference of 9.1%), householder income over 65 years ($57,919 compared to $62,922, a difference of 8.6%), and householder income under 25 years ($52,365 compared to $55,914, a difference of 6.8%). Conversely, both communities are more comparable in terms of householder income ages 45 - 64 years ($96,834 compared to $97,417, a difference of 0.60%), median household income ($83,395 compared to $83,968, a difference of 0.69%), and wage/income gap (23.8% compared to 24.0%, a difference of 0.71%).
Japanese vs Tlingit-Haida Income
Income MetricJapaneseTlingit-Haida
Per Capita Income
Tragic
$39,870
Average
$43,516
Median Family Income
Tragic
$97,288
Fair
$101,092
Median Household Income
Fair
$83,395
Fair
$83,968
Median Earnings
Tragic
$44,825
Fair
$45,468
Median Male Earnings
Tragic
$51,473
Poor
$52,409
Median Female Earnings
Tragic
$38,528
Average
$39,513
Householder Age | Under 25 years
Good
$52,365
Exceptional
$55,914
Householder Age | 25 - 44 years
Poor
$91,624
Fair
$92,987
Householder Age | 45 - 64 years
Poor
$96,834
Poor
$97,417
Householder Age | Over 65 years
Tragic
$57,919
Excellent
$62,922
Wage/Income Gap
Exceptional
23.8%
Exceptional
24.0%

Japanese vs Tlingit-Haida Poverty

When considering poverty, the most significant differences between Japanese and Tlingit-Haida communities in the United States are seen in seniors poverty over the age of 65 (12.2% compared to 8.3%, a difference of 45.6%), seniors poverty over the age of 75 (13.3% compared to 9.7%, a difference of 37.5%), and married-couple family poverty (5.6% compared to 4.4%, a difference of 26.9%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.3%, a difference of 0.72%), female poverty among 25-34 year olds (14.1% compared to 13.8%, a difference of 2.2%), and single female poverty (21.3% compared to 21.9%, a difference of 2.8%).
Japanese vs Tlingit-Haida Poverty
Poverty MetricJapaneseTlingit-Haida
Poverty
Tragic
13.3%
Excellent
11.7%
Families
Tragic
9.9%
Exceptional
8.0%
Males
Tragic
12.2%
Good
10.9%
Females
Tragic
14.5%
Exceptional
12.5%
Females 18 to 24 years
Exceptional
18.8%
Tragic
22.0%
Females 25 to 34 years
Poor
14.1%
Fair
13.8%
Children Under 5 years
Poor
18.1%
Exceptional
15.9%
Children Under 16 years
Tragic
17.7%
Exceptional
14.9%
Boys Under 16 years
Tragic
17.7%
Exceptional
15.3%
Girls Under 16 years
Tragic
17.8%
Exceptional
14.7%
Single Males
Poor
13.1%
Exceptional
11.6%
Single Females
Fair
21.3%
Tragic
21.9%
Single Fathers
Exceptional
15.2%
Exceptional
15.3%
Single Mothers
Good
28.9%
Tragic
30.9%
Married Couples
Tragic
5.6%
Exceptional
4.4%
Seniors Over 65 years
Tragic
12.2%
Exceptional
8.3%
Seniors Over 75 years
Tragic
13.3%
Exceptional
9.7%
Receiving Food Stamps
Tragic
14.1%
Average
11.6%

Japanese vs Tlingit-Haida Unemployment

When considering unemployment, the most significant differences between Japanese and Tlingit-Haida communities in the United States are seen in unemployment among seniors over 75 years (8.3% compared to 20.7%, a difference of 149.3%), unemployment among seniors over 65 years (4.9% compared to 6.8%, a difference of 37.2%), and unemployment among ages 16 to 19 years (17.6% compared to 23.5%, a difference of 33.6%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.7% compared to 4.7%, a difference of 0.26%), unemployment (5.6% compared to 5.6%, a difference of 1.4%), and unemployment among ages 30 to 34 years (5.9% compared to 6.0%, a difference of 2.5%).
Japanese vs Tlingit-Haida Unemployment
Unemployment MetricJapaneseTlingit-Haida
Unemployment
Tragic
5.6%
Tragic
5.6%
Males
Tragic
5.8%
Tragic
6.0%
Females
Tragic
5.6%
Exceptional
4.9%
Youth < 25
Fair
11.7%
Tragic
12.7%
Age | 16 to 19 years
Average
17.6%
Tragic
23.5%
Age | 20 to 24 years
Exceptional
10.0%
Fair
10.3%
Age | 25 to 29 years
Tragic
6.9%
Tragic
8.7%
Age | 30 to 34 years
Tragic
5.9%
Tragic
6.0%
Age | 35 to 44 years
Tragic
5.1%
Exceptional
4.3%
Age | 45 to 54 years
Tragic
4.7%
Tragic
4.7%
Age | 55 to 59 years
Average
4.8%
Tragic
5.7%
Age | 60 to 64 years
Tragic
5.1%
Tragic
6.4%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
6.5%
Seniors > 65
Exceptional
4.9%
Tragic
6.8%
Seniors > 75
Exceptional
8.3%
Tragic
20.7%
Women w/ Children < 6
Good
7.5%
Tragic
8.9%
Women w/ Children 6 to 17
Exceptional
8.4%
Exceptional
7.1%
Women w/ Children < 18
Tragic
5.7%
Good
5.4%

Japanese vs Tlingit-Haida Labor Participation

When considering labor participation, the most significant differences between Japanese and Tlingit-Haida communities in the United States are seen in in labor force | age 16-19 (37.5% compared to 40.5%, a difference of 7.9%), in labor force | age 20-24 (75.3% compared to 77.9%, a difference of 3.5%), and in labor force | age 45-54 (81.6% compared to 83.9%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.1% compared to 79.0%, a difference of 0.050%), in labor force | age 25-29 (84.3% compared to 84.4%, a difference of 0.11%), and in labor force | age > 16 (65.8% compared to 65.5%, a difference of 0.48%).
Japanese vs Tlingit-Haida Labor Participation
Labor Participation MetricJapaneseTlingit-Haida
In Labor Force | Age > 16
Exceptional
65.8%
Excellent
65.5%
In Labor Force | Age 20-64
Tragic
79.1%
Tragic
79.0%
In Labor Force | Age 16-19
Excellent
37.5%
Exceptional
40.5%
In Labor Force | Age 20-24
Good
75.3%
Exceptional
77.9%
In Labor Force | Age 25-29
Poor
84.3%
Poor
84.4%
In Labor Force | Age 30-34
Tragic
84.3%
Tragic
82.3%
In Labor Force | Age 35-44
Tragic
83.6%
Tragic
82.5%
In Labor Force | Age 45-54
Tragic
81.6%
Exceptional
83.9%

Japanese vs Tlingit-Haida Family Structure

When considering family structure, the most significant differences between Japanese and Tlingit-Haida communities in the United States are seen in single mother households (7.4% compared to 5.7%, a difference of 28.9%), family households with children (29.4% compared to 26.0%, a difference of 13.1%), and divorced or separated (12.0% compared to 13.2%, a difference of 10.2%). Conversely, both communities are more comparable in terms of married-couple households (45.2% compared to 45.1%, a difference of 0.15%), single father households (2.8% compared to 2.7%, a difference of 2.9%), and currently married (44.5% compared to 46.7%, a difference of 4.9%).
Japanese vs Tlingit-Haida Family Structure
Family Structure MetricJapaneseTlingit-Haida
Family Households
Exceptional
65.9%
Tragic
61.6%
Family Households with Children
Exceptional
29.4%
Tragic
26.0%
Married-couple Households
Tragic
45.2%
Tragic
45.1%
Average Family Size
Exceptional
3.35
Tragic
3.16
Single Father Households
Tragic
2.8%
Tragic
2.7%
Single Mother Households
Tragic
7.4%
Exceptional
5.7%
Currently Married
Tragic
44.5%
Average
46.7%
Divorced or Separated
Good
12.0%
Tragic
13.2%
Births to Unmarried Women
Tragic
35.2%
Fair
32.2%

Japanese vs Tlingit-Haida Vehicle Availability

When considering vehicle availability, the most significant differences between Japanese and Tlingit-Haida communities in the United States are seen in 4 or more vehicles in household (7.7% compared to 6.8%, a difference of 12.4%), 3 or more vehicles in household (21.8% compared to 19.9%, a difference of 9.6%), and no vehicles in household (9.4% compared to 10.1%, a difference of 6.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.6% compared to 90.1%, a difference of 0.61%), 2 or more vehicles in household (57.5% compared to 55.8%, a difference of 3.1%), and no vehicles in household (9.4% compared to 10.1%, a difference of 6.7%).
Japanese vs Tlingit-Haida Vehicle Availability
Vehicle Availability MetricJapaneseTlingit-Haida
No Vehicles Available
Exceptional
9.4%
Good
10.1%
1+ Vehicles Available
Exceptional
90.6%
Good
90.1%
2+ Vehicles Available
Exceptional
57.5%
Good
55.8%
3+ Vehicles Available
Exceptional
21.8%
Good
19.9%
4+ Vehicles Available
Exceptional
7.7%
Exceptional
6.8%

Japanese vs Tlingit-Haida Education Level

When considering education level, the most significant differences between Japanese and Tlingit-Haida communities in the United States are seen in no schooling completed (3.3% compared to 1.5%, a difference of 130.5%), professional degree (3.5% compared to 4.0%, a difference of 12.5%), and doctorate degree (1.5% compared to 1.7%, a difference of 12.2%). Conversely, both communities are more comparable in terms of nursery school (96.7% compared to 98.7%, a difference of 2.1%), kindergarten (96.7% compared to 98.7%, a difference of 2.1%), and 1st grade (96.6% compared to 98.7%, a difference of 2.1%).
Japanese vs Tlingit-Haida Education Level
Education Level MetricJapaneseTlingit-Haida
No Schooling Completed
Tragic
3.3%
Exceptional
1.5%
Nursery School
Tragic
96.7%
Exceptional
98.7%
Kindergarten
Tragic
96.7%
Exceptional
98.7%
1st Grade
Tragic
96.6%
Exceptional
98.7%
2nd Grade
Tragic
96.5%
Exceptional
98.6%
3rd Grade
Tragic
96.4%
Exceptional
98.5%
4th Grade
Tragic
96.0%
Exceptional
98.4%
5th Grade
Tragic
95.7%
Exceptional
98.3%
6th Grade
Tragic
95.4%
Exceptional
98.1%
7th Grade
Tragic
94.0%
Exceptional
97.5%
8th Grade
Tragic
93.6%
Exceptional
97.3%
9th Grade
Tragic
92.6%
Exceptional
96.6%
10th Grade
Tragic
91.2%
Exceptional
95.7%
11th Grade
Tragic
89.9%
Exceptional
94.4%
12th Grade, No Diploma
Tragic
88.3%
Exceptional
93.0%
High School Diploma
Tragic
85.9%
Exceptional
91.4%
GED/Equivalency
Tragic
82.4%
Exceptional
87.0%
College, Under 1 year
Tragic
61.5%
Good
65.9%
College, 1 year or more
Tragic
55.2%
Average
59.4%
Associate's Degree
Tragic
41.7%
Tragic
43.0%
Bachelor's Degree
Tragic
33.3%
Tragic
34.6%
Master's Degree
Tragic
12.5%
Tragic
12.8%
Professional Degree
Tragic
3.5%
Tragic
4.0%
Doctorate Degree
Tragic
1.5%
Poor
1.7%

Japanese vs Tlingit-Haida Disability

When considering disability, the most significant differences between Japanese and Tlingit-Haida communities in the United States are seen in hearing disability (3.0% compared to 4.8%, a difference of 61.1%), disability age under 5 (1.2% compared to 1.5%, a difference of 31.0%), and vision disability (2.4% compared to 2.9%, a difference of 20.9%). Conversely, both communities are more comparable in terms of disability age over 75 (50.2% compared to 50.6%, a difference of 0.73%), ambulatory disability (6.3% compared to 6.5%, a difference of 2.8%), and disability age 5 to 17 (6.1% compared to 5.9%, a difference of 3.0%).
Japanese vs Tlingit-Haida Disability
Disability MetricJapaneseTlingit-Haida
Disability
Tragic
12.2%
Tragic
13.5%
Males
Tragic
11.7%
Tragic
13.8%
Females
Tragic
12.6%
Tragic
13.2%
Age | Under 5 years
Exceptional
1.2%
Tragic
1.5%
Age | 5 to 17 years
Tragic
6.1%
Tragic
5.9%
Age | 18 to 34 years
Poor
6.8%
Tragic
7.7%
Age | 35 to 64 years
Tragic
12.3%
Tragic
13.2%
Age | 65 to 74 years
Tragic
25.7%
Tragic
27.1%
Age | Over 75 years
Tragic
50.2%
Tragic
50.6%
Vision
Tragic
2.4%
Tragic
2.9%
Hearing
Average
3.0%
Tragic
4.8%
Cognitive
Tragic
18.3%
Average
17.2%
Ambulatory
Poor
6.3%
Tragic
6.5%
Self-Care
Tragic
2.7%
Good
2.4%