Peruvian vs Tlingit-Haida Community Comparison

COMPARE

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)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)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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Peruvians

Tlingit-Haida

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

Tlingit-Haida Integration in Peruvian Communities

The statistical analysis conducted on geographies consisting of 53,533,017 people shows a slight positive correlation between the proportion of Tlingit-Haida within Peruvian communities in the United States with a correlation coefficient (R) of 0.059. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.004% in Tlingit-Haida. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 3.8 Tlingit-Haida.
Peruvian Integration in Tlingit-Haida Communities

Peruvian vs Tlingit-Haida Income

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

Peruvian vs Tlingit-Haida Poverty

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

Peruvian vs Tlingit-Haida Unemployment

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

Peruvian vs Tlingit-Haida Labor Participation

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

Peruvian vs Tlingit-Haida Family Structure

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

Peruvian vs Tlingit-Haida Vehicle Availability

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

Peruvian vs Tlingit-Haida Education Level

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

Peruvian vs Tlingit-Haida Disability

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