Tlingit-Haida vs Peruvian Community Comparison

COMPARE

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 EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPimaPolishPortuguesePotawatomiPuebloPuerto 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
Peruvian
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

Peruvians

Average
Average
5,201
SOCIAL INDEX
49.5/ 100
SOCIAL RATING
182nd/ 347
SOCIAL RANK
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK

Peruvian Integration in Tlingit-Haida Communities

The statistical analysis conducted on geographies consisting of 53,541,185 people shows a poor positive correlation between the proportion of Peruvians within Tlingit-Haida communities in the United States with a correlation coefficient (R) of 0.174. On average, for every 1% (one percent) increase in Tlingit-Haida within a typical geography, there is an increase of 0.013% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Tlingit-Haida corresponds to an increase of 13.2 Peruvians.
Tlingit-Haida Integration in Peruvian Communities

Tlingit-Haida vs Peruvian Income

When considering income, the most significant differences between Tlingit-Haida and Peruvian communities in the United States are seen in householder income ages 45 - 64 years ($97,417 compared to $105,070, a difference of 7.9%), median household income ($83,968 compared to $90,261, a difference of 7.5%), and wage/income gap (24.0% compared to 25.6%, a difference of 6.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($55,914 compared to $56,052, a difference of 0.25%), householder income over 65 years ($62,922 compared to $62,766, a difference of 0.25%), and median female earnings ($39,513 compared to $40,234, a difference of 1.8%).
Tlingit-Haida vs Peruvian Income
Income MetricTlingit-HaidaPeruvian
Per Capita Income
Average
$43,516
Good
$44,479
Median Family Income
Fair
$101,092
Excellent
$105,444
Median Household Income
Fair
$83,968
Exceptional
$90,261
Median Earnings
Fair
$45,468
Excellent
$47,628
Median Male Earnings
Poor
$52,409
Good
$55,659
Median Female Earnings
Average
$39,513
Good
$40,234
Householder Age | Under 25 years
Exceptional
$55,914
Exceptional
$56,052
Householder Age | 25 - 44 years
Fair
$92,987
Exceptional
$98,886
Householder Age | 45 - 64 years
Poor
$97,417
Exceptional
$105,070
Householder Age | Over 65 years
Excellent
$62,922
Excellent
$62,766
Wage/Income Gap
Exceptional
24.0%
Good
25.6%

Tlingit-Haida vs Peruvian Poverty

When considering poverty, the most significant differences between Tlingit-Haida and Peruvian communities in the United States are seen in seniors poverty over the age of 65 (8.3% compared to 11.7%, a difference of 40.1%), seniors poverty over the age of 75 (9.7% compared to 13.4%, a difference of 37.8%), and female poverty among 18-24 year olds (22.0% compared to 17.2%, a difference of 27.9%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (15.9% compared to 16.0%, a difference of 0.34%), single father poverty (15.3% compared to 15.4%, a difference of 0.50%), and poverty (11.7% compared to 11.8%, a difference of 0.78%).
Tlingit-Haida vs Peruvian Poverty
Poverty MetricTlingit-HaidaPeruvian
Poverty
Excellent
11.7%
Excellent
11.8%
Families
Exceptional
8.0%
Good
8.8%
Males
Good
10.9%
Excellent
10.7%
Females
Exceptional
12.5%
Excellent
12.9%
Females 18 to 24 years
Tragic
22.0%
Exceptional
17.2%
Females 25 to 34 years
Fair
13.8%
Exceptional
12.7%
Children Under 5 years
Exceptional
15.9%
Exceptional
16.0%
Children Under 16 years
Exceptional
14.9%
Excellent
15.3%
Boys Under 16 years
Exceptional
15.3%
Excellent
15.5%
Girls Under 16 years
Exceptional
14.7%
Exceptional
15.4%
Single Males
Exceptional
11.6%
Exceptional
11.8%
Single Females
Tragic
21.9%
Exceptional
19.4%
Single Fathers
Exceptional
15.3%
Exceptional
15.4%
Single Mothers
Tragic
30.9%
Exceptional
27.5%
Married Couples
Exceptional
4.4%
Fair
5.3%
Seniors Over 65 years
Exceptional
8.3%
Tragic
11.7%
Seniors Over 75 years
Exceptional
9.7%
Tragic
13.4%
Receiving Food Stamps
Average
11.6%
Average
11.7%

Tlingit-Haida vs Peruvian Unemployment

When considering unemployment, the most significant differences between Tlingit-Haida and Peruvian communities in the United States are seen in unemployment among seniors over 75 years (20.7% compared to 9.0%, a difference of 129.3%), unemployment among ages 16 to 19 years (23.5% compared to 17.7%, a difference of 33.3%), and unemployment among ages 25 to 29 years (8.7% compared to 6.6%, a difference of 32.1%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.3% compared to 10.5%, a difference of 1.1%), unemployment among ages 45 to 54 years (4.7% compared to 4.6%, a difference of 3.5%), and unemployment among women with children under 18 years (5.4% compared to 5.6%, a difference of 4.4%).
Tlingit-Haida vs Peruvian Unemployment
Unemployment MetricTlingit-HaidaPeruvian
Unemployment
Tragic
5.6%
Fair
5.3%
Males
Tragic
6.0%
Average
5.3%
Females
Exceptional
4.9%
Tragic
5.4%
Youth < 25
Tragic
12.7%
Poor
11.8%
Age | 16 to 19 years
Tragic
23.5%
Fair
17.7%
Age | 20 to 24 years
Fair
10.3%
Poor
10.5%
Age | 25 to 29 years
Tragic
8.7%
Good
6.6%
Age | 30 to 34 years
Tragic
6.0%
Average
5.5%
Age | 35 to 44 years
Exceptional
4.3%
Average
4.7%
Age | 45 to 54 years
Tragic
4.7%
Fair
4.6%
Age | 55 to 59 years
Tragic
5.7%
Fair
4.8%
Age | 60 to 64 years
Tragic
6.4%
Tragic
5.0%
Age | 65 to 74 years
Tragic
6.5%
Tragic
5.5%
Seniors > 65
Tragic
6.8%
Tragic
5.3%
Seniors > 75
Tragic
20.7%
Tragic
9.0%
Women w/ Children < 6
Tragic
8.9%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
7.1%
Tragic
9.2%
Women w/ Children < 18
Good
5.4%
Poor
5.6%

Tlingit-Haida vs Peruvian Labor Participation

When considering labor participation, the most significant differences between Tlingit-Haida and Peruvian communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 34.6%, a difference of 17.0%), in labor force | age 20-24 (77.9% compared to 74.5%, a difference of 4.5%), and in labor force | age 30-34 (82.3% compared to 84.8%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.4% compared to 84.7%, a difference of 0.38%), in labor force | age 45-54 (83.9% compared to 83.6%, a difference of 0.43%), and in labor force | age > 16 (65.5% compared to 66.3%, a difference of 1.2%).
Tlingit-Haida vs Peruvian Labor Participation
Labor Participation MetricTlingit-HaidaPeruvian
In Labor Force | Age > 16
Excellent
65.5%
Exceptional
66.3%
In Labor Force | Age 20-64
Tragic
79.0%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
40.5%
Tragic
34.6%
In Labor Force | Age 20-24
Exceptional
77.9%
Poor
74.5%
In Labor Force | Age 25-29
Poor
84.4%
Good
84.7%
In Labor Force | Age 30-34
Tragic
82.3%
Good
84.8%
In Labor Force | Age 35-44
Tragic
82.5%
Exceptional
84.9%
In Labor Force | Age 45-54
Exceptional
83.9%
Exceptional
83.6%

Tlingit-Haida vs Peruvian Family Structure

When considering family structure, the most significant differences between Tlingit-Haida and Peruvian communities in the United States are seen in single mother households (5.7% compared to 6.5%, a difference of 13.7%), single father households (2.7% compared to 2.4%, a difference of 12.3%), and family households with children (26.0% compared to 29.0%, a difference of 11.4%). Conversely, both communities are more comparable in terms of currently married (46.7% compared to 46.6%, a difference of 0.040%), births to unmarried women (32.2% compared to 31.5%, a difference of 2.2%), and average family size (3.16 compared to 3.30, a difference of 4.5%).
Tlingit-Haida vs Peruvian Family Structure
Family Structure MetricTlingit-HaidaPeruvian
Family Households
Tragic
61.6%
Exceptional
67.1%
Family Households with Children
Tragic
26.0%
Exceptional
29.0%
Married-couple Households
Tragic
45.1%
Exceptional
47.6%
Average Family Size
Tragic
3.16
Exceptional
3.30
Single Father Households
Tragic
2.7%
Fair
2.4%
Single Mother Households
Exceptional
5.7%
Fair
6.5%
Currently Married
Average
46.7%
Average
46.6%
Divorced or Separated
Tragic
13.2%
Excellent
11.9%
Births to Unmarried Women
Fair
32.2%
Average
31.5%

Tlingit-Haida vs Peruvian Vehicle Availability

When considering vehicle availability, the most significant differences between Tlingit-Haida and Peruvian communities in the United States are seen in no vehicles in household (10.1% compared to 11.2%, a difference of 11.8%), 4 or more vehicles in household (6.8% compared to 6.5%, a difference of 6.0%), and 2 or more vehicles in household (55.8% compared to 55.0%, a difference of 1.5%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.9% compared to 19.6%, a difference of 1.2%), 1 or more vehicles in household (90.1% compared to 88.8%, a difference of 1.4%), and 2 or more vehicles in household (55.8% compared to 55.0%, a difference of 1.5%).
Tlingit-Haida vs Peruvian Vehicle Availability
Vehicle Availability MetricTlingit-HaidaPeruvian
No Vehicles Available
Good
10.1%
Tragic
11.2%
1+ Vehicles Available
Good
90.1%
Tragic
88.8%
2+ Vehicles Available
Good
55.8%
Fair
55.0%
3+ Vehicles Available
Good
19.9%
Average
19.6%
4+ Vehicles Available
Exceptional
6.8%
Good
6.5%

Tlingit-Haida vs Peruvian Education Level

When considering education level, the most significant differences between Tlingit-Haida and Peruvian communities in the United States are seen in no schooling completed (1.5% compared to 2.4%, a difference of 64.5%), master's degree (12.8% compared to 15.3%, a difference of 19.1%), and professional degree (4.0% compared to 4.5%, a difference of 13.0%). Conversely, both communities are more comparable in terms of nursery school (98.7% compared to 97.6%, a difference of 1.1%), kindergarten (98.7% compared to 97.6%, a difference of 1.1%), and 1st grade (98.7% compared to 97.6%, a difference of 1.1%).
Tlingit-Haida vs Peruvian Education Level
Education Level MetricTlingit-HaidaPeruvian
No Schooling Completed
Exceptional
1.5%
Tragic
2.4%
Nursery School
Exceptional
98.7%
Tragic
97.6%
Kindergarten
Exceptional
98.7%
Tragic
97.6%
1st Grade
Exceptional
98.7%
Tragic
97.6%
2nd Grade
Exceptional
98.6%
Tragic
97.5%
3rd Grade
Exceptional
98.5%
Tragic
97.4%
4th Grade
Exceptional
98.4%
Tragic
97.1%
5th Grade
Exceptional
98.3%
Tragic
96.8%
6th Grade
Exceptional
98.1%
Tragic
96.4%
7th Grade
Exceptional
97.5%
Tragic
95.1%
8th Grade
Exceptional
97.3%
Tragic
94.7%
9th Grade
Exceptional
96.6%
Tragic
93.8%
10th Grade
Exceptional
95.7%
Tragic
92.6%
11th Grade
Exceptional
94.4%
Tragic
91.5%
12th Grade, No Diploma
Exceptional
93.0%
Tragic
90.2%
High School Diploma
Exceptional
91.4%
Tragic
87.8%
GED/Equivalency
Exceptional
87.0%
Tragic
84.7%
College, Under 1 year
Good
65.9%
Poor
64.1%
College, 1 year or more
Average
59.4%
Fair
58.6%
Associate's Degree
Tragic
43.0%
Average
46.4%
Bachelor's Degree
Tragic
34.6%
Good
38.3%
Master's Degree
Tragic
12.8%
Good
15.3%
Professional Degree
Tragic
4.0%
Good
4.5%
Doctorate Degree
Poor
1.7%
Fair
1.8%

Tlingit-Haida vs Peruvian Disability

When considering disability, the most significant differences between Tlingit-Haida and Peruvian communities in the United States are seen in hearing disability (4.8% compared to 2.7%, a difference of 77.4%), vision disability (2.9% compared to 2.1%, a difference of 37.6%), and disability age 35 to 64 (13.2% compared to 9.9%, a difference of 33.7%). Conversely, both communities are more comparable in terms of self-care disability (2.4% compared to 2.4%, a difference of 1.6%), cognitive disability (17.2% compared to 16.7%, a difference of 3.4%), and disability age over 75 (50.6% compared to 46.8%, a difference of 8.0%).
Tlingit-Haida vs Peruvian Disability
Disability MetricTlingit-HaidaPeruvian
Disability
Tragic
13.5%
Exceptional
10.9%
Males
Tragic
13.8%
Exceptional
10.4%
Females
Tragic
13.2%
Exceptional
11.3%
Age | Under 5 years
Tragic
1.5%
Fair
1.3%
Age | 5 to 17 years
Tragic
5.9%
Exceptional
5.3%
Age | 18 to 34 years
Tragic
7.7%
Exceptional
6.0%
Age | 35 to 64 years
Tragic
13.2%
Exceptional
9.9%
Age | 65 to 74 years
Tragic
27.1%
Exceptional
22.2%
Age | Over 75 years
Tragic
50.6%
Excellent
46.8%
Vision
Tragic
2.9%
Exceptional
2.1%
Hearing
Tragic
4.8%
Exceptional
2.7%
Cognitive
Average
17.2%
Exceptional
16.7%
Ambulatory
Tragic
6.5%
Exceptional
5.7%
Self-Care
Good
2.4%
Exceptional
2.4%