Chickasaw vs Peruvian Community Comparison

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Chickasaw
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 IndianCherokeeCheyenneChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman 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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Chickasaw

Peruvians

Fair
Average
3,663
SOCIAL INDEX
34.2/ 100
SOCIAL RATING
212th/ 347
SOCIAL RANK
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK

Peruvian Integration in Chickasaw Communities

The statistical analysis conducted on geographies consisting of 124,882,116 people shows a significant positive correlation between the proportion of Peruvians within Chickasaw communities in the United States with a correlation coefficient (R) of 0.666. On average, for every 1% (one percent) increase in Chickasaw within a typical geography, there is an increase of 0.755% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chickasaw corresponds to an increase of 755.3 Peruvians.
Chickasaw Integration in Peruvian Communities

Chickasaw vs Peruvian Income

When considering income, the most significant differences between Chickasaw and Peruvian communities in the United States are seen in median household income ($70,005 compared to $90,261, a difference of 28.9%), householder income ages 45 - 64 years ($82,193 compared to $105,070, a difference of 27.8%), and householder income ages 25 - 44 years ($77,929 compared to $98,886, a difference of 26.9%). Conversely, both communities are more comparable in terms of wage/income gap (27.2% compared to 25.6%, a difference of 6.1%), median male earnings ($47,832 compared to $55,659, a difference of 16.4%), and householder income over 65 years ($53,732 compared to $62,766, a difference of 16.8%).
Chickasaw vs Peruvian Income
Income MetricChickasawPeruvian
Per Capita Income
Tragic
$36,475
Good
$44,479
Median Family Income
Tragic
$85,356
Excellent
$105,444
Median Household Income
Tragic
$70,005
Exceptional
$90,261
Median Earnings
Tragic
$40,672
Excellent
$47,628
Median Male Earnings
Tragic
$47,832
Good
$55,659
Median Female Earnings
Tragic
$34,414
Good
$40,234
Householder Age | Under 25 years
Tragic
$44,763
Exceptional
$56,052
Householder Age | 25 - 44 years
Tragic
$77,929
Exceptional
$98,886
Householder Age | 45 - 64 years
Tragic
$82,193
Exceptional
$105,070
Householder Age | Over 65 years
Tragic
$53,732
Excellent
$62,766
Wage/Income Gap
Tragic
27.2%
Good
25.6%

Chickasaw vs Peruvian Poverty

When considering poverty, the most significant differences between Chickasaw and Peruvian communities in the United States are seen in female poverty among 18-24 year olds (24.5% compared to 17.2%, a difference of 42.1%), single male poverty (16.3% compared to 11.8%, a difference of 38.5%), and child poverty under the age of 5 (21.8% compared to 16.0%, a difference of 36.4%). Conversely, both communities are more comparable in terms of married-couple family poverty (5.8% compared to 5.3%, a difference of 9.3%), seniors poverty over the age of 65 (10.7% compared to 11.7%, a difference of 9.4%), and receiving food stamps (13.1% compared to 11.7%, a difference of 11.4%).
Chickasaw vs Peruvian Poverty
Poverty MetricChickasawPeruvian
Poverty
Tragic
14.7%
Excellent
11.8%
Families
Tragic
10.8%
Good
8.8%
Males
Tragic
13.5%
Excellent
10.7%
Females
Tragic
15.9%
Excellent
12.9%
Females 18 to 24 years
Tragic
24.5%
Exceptional
17.2%
Females 25 to 34 years
Tragic
17.0%
Exceptional
12.7%
Children Under 5 years
Tragic
21.8%
Exceptional
16.0%
Children Under 16 years
Tragic
19.5%
Excellent
15.3%
Boys Under 16 years
Tragic
19.8%
Excellent
15.5%
Girls Under 16 years
Tragic
19.6%
Exceptional
15.4%
Single Males
Tragic
16.3%
Exceptional
11.8%
Single Females
Tragic
26.3%
Exceptional
19.4%
Single Fathers
Tragic
19.0%
Exceptional
15.4%
Single Mothers
Tragic
34.4%
Exceptional
27.5%
Married Couples
Tragic
5.8%
Fair
5.3%
Seniors Over 65 years
Good
10.7%
Tragic
11.7%
Seniors Over 75 years
Exceptional
11.6%
Tragic
13.4%
Receiving Food Stamps
Tragic
13.1%
Average
11.7%

Chickasaw vs Peruvian Unemployment

When considering unemployment, the most significant differences between Chickasaw and Peruvian communities in the United States are seen in unemployment among seniors over 75 years (7.3% compared to 9.0%, a difference of 23.1%), unemployment among seniors over 65 years (4.4% compared to 5.3%, a difference of 21.3%), and unemployment among women with children under 6 years (9.0% compared to 7.5%, a difference of 19.1%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.8% compared to 4.8%, a difference of 1.2%), male unemployment (5.2% compared to 5.3%, a difference of 2.2%), and unemployment among ages 25 to 29 years (6.7% compared to 6.6%, a difference of 2.6%).
Chickasaw vs Peruvian Unemployment
Unemployment MetricChickasawPeruvian
Unemployment
Exceptional
5.0%
Fair
5.3%
Males
Excellent
5.2%
Average
5.3%
Females
Excellent
5.1%
Tragic
5.4%
Youth < 25
Exceptional
11.2%
Poor
11.8%
Age | 16 to 19 years
Exceptional
16.7%
Fair
17.7%
Age | 20 to 24 years
Exceptional
9.9%
Poor
10.5%
Age | 25 to 29 years
Fair
6.7%
Good
6.6%
Age | 30 to 34 years
Tragic
6.2%
Average
5.5%
Age | 35 to 44 years
Tragic
4.9%
Average
4.7%
Age | 45 to 54 years
Exceptional
4.2%
Fair
4.6%
Age | 55 to 59 years
Good
4.8%
Fair
4.8%
Age | 60 to 64 years
Exceptional
4.3%
Tragic
5.0%
Age | 65 to 74 years
Exceptional
4.7%
Tragic
5.5%
Seniors > 65
Exceptional
4.4%
Tragic
5.3%
Seniors > 75
Exceptional
7.3%
Tragic
9.0%
Women w/ Children < 6
Tragic
9.0%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.6%
Tragic
9.2%
Women w/ Children < 18
Good
5.4%
Poor
5.6%

Chickasaw vs Peruvian Labor Participation

When considering labor participation, the most significant differences between Chickasaw and Peruvian communities in the United States are seen in in labor force | age 16-19 (38.3% compared to 34.6%, a difference of 10.8%), in labor force | age > 16 (62.3% compared to 66.3%, a difference of 6.4%), and in labor force | age 45-54 (79.0% compared to 83.6%, a difference of 5.7%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (74.5% compared to 74.5%, a difference of 0.11%), in labor force | age 30-34 (81.9% compared to 84.8%, a difference of 3.5%), and in labor force | age 25-29 (81.9% compared to 84.7%, a difference of 3.5%).
Chickasaw vs Peruvian Labor Participation
Labor Participation MetricChickasawPeruvian
In Labor Force | Age > 16
Tragic
62.3%
Exceptional
66.3%
In Labor Force | Age 20-64
Tragic
76.2%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
38.3%
Tragic
34.6%
In Labor Force | Age 20-24
Poor
74.5%
Poor
74.5%
In Labor Force | Age 25-29
Tragic
81.9%
Good
84.7%
In Labor Force | Age 30-34
Tragic
81.9%
Good
84.8%
In Labor Force | Age 35-44
Tragic
80.9%
Exceptional
84.9%
In Labor Force | Age 45-54
Tragic
79.0%
Exceptional
83.6%

Chickasaw vs Peruvian Family Structure

When considering family structure, the most significant differences between Chickasaw and Peruvian communities in the United States are seen in divorced or separated (14.2% compared to 11.9%, a difference of 19.3%), single father households (2.8% compared to 2.4%, a difference of 15.6%), and births to unmarried women (36.3% compared to 31.5%, a difference of 15.2%). Conversely, both communities are more comparable in terms of currently married (46.6% compared to 46.6%, a difference of 0.080%), family households with children (28.2% compared to 29.0%, a difference of 2.8%), and average family size (3.19 compared to 3.30, a difference of 3.5%).
Chickasaw vs Peruvian Family Structure
Family Structure MetricChickasawPeruvian
Family Households
Good
64.4%
Exceptional
67.1%
Family Households with Children
Exceptional
28.2%
Exceptional
29.0%
Married-couple Households
Fair
45.9%
Exceptional
47.6%
Average Family Size
Tragic
3.19
Exceptional
3.30
Single Father Households
Tragic
2.8%
Fair
2.4%
Single Mother Households
Tragic
7.0%
Fair
6.5%
Currently Married
Average
46.6%
Average
46.6%
Divorced or Separated
Tragic
14.2%
Excellent
11.9%
Births to Unmarried Women
Tragic
36.3%
Average
31.5%

Chickasaw vs Peruvian Vehicle Availability

When considering vehicle availability, the most significant differences between Chickasaw and Peruvian communities in the United States are seen in no vehicles in household (7.9% compared to 11.2%, a difference of 43.1%), 4 or more vehicles in household (7.4% compared to 6.5%, a difference of 15.2%), and 3 or more vehicles in household (22.2% compared to 19.6%, a difference of 13.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.3% compared to 88.8%, a difference of 3.9%), 2 or more vehicles in household (59.0% compared to 55.0%, a difference of 7.3%), and 3 or more vehicles in household (22.2% compared to 19.6%, a difference of 13.1%).
Chickasaw vs Peruvian Vehicle Availability
Vehicle Availability MetricChickasawPeruvian
No Vehicles Available
Exceptional
7.9%
Tragic
11.2%
1+ Vehicles Available
Exceptional
92.3%
Tragic
88.8%
2+ Vehicles Available
Exceptional
59.0%
Fair
55.0%
3+ Vehicles Available
Exceptional
22.2%
Average
19.6%
4+ Vehicles Available
Exceptional
7.4%
Good
6.5%

Chickasaw vs Peruvian Education Level

When considering education level, the most significant differences between Chickasaw and Peruvian communities in the United States are seen in no schooling completed (1.7% compared to 2.4%, a difference of 41.0%), professional degree (3.4% compared to 4.5%, a difference of 34.1%), and master's degree (11.4% compared to 15.3%, a difference of 33.9%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (90.3% compared to 90.2%, a difference of 0.19%), high school diploma (88.4% compared to 87.8%, a difference of 0.70%), and nursery school (98.4% compared to 97.6%, a difference of 0.76%).
Chickasaw vs Peruvian Education Level
Education Level MetricChickasawPeruvian
No Schooling Completed
Exceptional
1.7%
Tragic
2.4%
Nursery School
Exceptional
98.4%
Tragic
97.6%
Kindergarten
Exceptional
98.4%
Tragic
97.6%
1st Grade
Exceptional
98.3%
Tragic
97.6%
2nd Grade
Exceptional
98.3%
Tragic
97.5%
3rd Grade
Exceptional
98.2%
Tragic
97.4%
4th Grade
Exceptional
98.0%
Tragic
97.1%
5th Grade
Exceptional
97.9%
Tragic
96.8%
6th Grade
Exceptional
97.6%
Tragic
96.4%
7th Grade
Exceptional
96.7%
Tragic
95.1%
8th Grade
Exceptional
96.4%
Tragic
94.7%
9th Grade
Exceptional
95.5%
Tragic
93.8%
10th Grade
Excellent
94.1%
Tragic
92.6%
11th Grade
Fair
92.3%
Tragic
91.5%
12th Grade, No Diploma
Tragic
90.3%
Tragic
90.2%
High School Diploma
Poor
88.4%
Tragic
87.8%
GED/Equivalency
Tragic
83.8%
Tragic
84.7%
College, Under 1 year
Tragic
60.4%
Poor
64.1%
College, 1 year or more
Tragic
53.3%
Fair
58.6%
Associate's Degree
Tragic
38.6%
Average
46.4%
Bachelor's Degree
Tragic
30.4%
Good
38.3%
Master's Degree
Tragic
11.4%
Good
15.3%
Professional Degree
Tragic
3.4%
Good
4.5%
Doctorate Degree
Tragic
1.5%
Fair
1.8%

Chickasaw vs Peruvian Disability

When considering disability, the most significant differences between Chickasaw and Peruvian communities in the United States are seen in hearing disability (4.5% compared to 2.7%, a difference of 63.9%), disability age 35 to 64 (16.1% compared to 9.9%, a difference of 63.4%), and vision disability (3.2% compared to 2.1%, a difference of 53.2%). Conversely, both communities are more comparable in terms of disability age over 75 (51.2% compared to 46.8%, a difference of 9.3%), cognitive disability (18.5% compared to 16.7%, a difference of 10.9%), and self-care disability (2.9% compared to 2.4%, a difference of 19.3%).
Chickasaw vs Peruvian Disability
Disability MetricChickasawPeruvian
Disability
Tragic
15.2%
Exceptional
10.9%
Males
Tragic
15.1%
Exceptional
10.4%
Females
Tragic
15.2%
Exceptional
11.3%
Age | Under 5 years
Tragic
1.7%
Fair
1.3%
Age | 5 to 17 years
Tragic
6.8%
Exceptional
5.3%
Age | 18 to 34 years
Tragic
9.0%
Exceptional
6.0%
Age | 35 to 64 years
Tragic
16.1%
Exceptional
9.9%
Age | 65 to 74 years
Tragic
30.2%
Exceptional
22.2%
Age | Over 75 years
Tragic
51.2%
Excellent
46.8%
Vision
Tragic
3.2%
Exceptional
2.1%
Hearing
Tragic
4.5%
Exceptional
2.7%
Cognitive
Tragic
18.5%
Exceptional
16.7%
Ambulatory
Tragic
8.0%
Exceptional
5.7%
Self-Care
Tragic
2.9%
Exceptional
2.4%