Asian vs Chickasaw Community Comparison

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Asian
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
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 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

Asians

Chickasaw

Excellent
Fair
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK
3,663
SOCIAL INDEX
34.2/ 100
SOCIAL RATING
212th/ 347
SOCIAL RANK

Chickasaw Integration in Asian Communities

The statistical analysis conducted on geographies consisting of 146,508,664 people shows a weak negative correlation between the proportion of Chickasaw within Asian communities in the United States with a correlation coefficient (R) of -0.210. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.001% in Chickasaw. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 0.7 Chickasaw.
Asian Integration in Chickasaw Communities

Asian vs Chickasaw Income

When considering income, the most significant differences between Asian and Chickasaw communities in the United States are seen in median household income ($101,681 compared to $70,005, a difference of 45.3%), householder income ages 25 - 44 years ($112,666 compared to $77,929, a difference of 44.6%), and householder income ages 45 - 64 years ($118,426 compared to $82,193, a difference of 44.1%). Conversely, both communities are more comparable in terms of wage/income gap (26.9% compared to 27.2%, a difference of 0.86%), householder income under 25 years ($57,003 compared to $44,763, a difference of 27.3%), and householder income over 65 years ($68,822 compared to $53,732, a difference of 28.1%).
Asian vs Chickasaw Income
Income MetricAsianChickasaw
Per Capita Income
Exceptional
$50,057
Tragic
$36,475
Median Family Income
Exceptional
$119,955
Tragic
$85,356
Median Household Income
Exceptional
$101,681
Tragic
$70,005
Median Earnings
Exceptional
$53,690
Tragic
$40,672
Median Male Earnings
Exceptional
$63,827
Tragic
$47,832
Median Female Earnings
Exceptional
$44,586
Tragic
$34,414
Householder Age | Under 25 years
Exceptional
$57,003
Tragic
$44,763
Householder Age | 25 - 44 years
Exceptional
$112,666
Tragic
$77,929
Householder Age | 45 - 64 years
Exceptional
$118,426
Tragic
$82,193
Householder Age | Over 65 years
Exceptional
$68,822
Tragic
$53,732
Wage/Income Gap
Tragic
26.9%
Tragic
27.2%

Asian vs Chickasaw Poverty

When considering poverty, the most significant differences between Asian and Chickasaw communities in the United States are seen in child poverty under the age of 5 (14.0% compared to 21.8%, a difference of 56.3%), female poverty among 25-34 year olds (11.4% compared to 17.0%, a difference of 49.1%), and child poverty among boys under 16 (13.5% compared to 19.8%, a difference of 46.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.4% compared to 10.7%, a difference of 2.7%), seniors poverty over the age of 75 (12.0% compared to 11.6%, a difference of 3.2%), and married-couple family poverty (4.7% compared to 5.8%, a difference of 24.3%).
Asian vs Chickasaw Poverty
Poverty MetricAsianChickasaw
Poverty
Exceptional
11.0%
Tragic
14.7%
Families
Exceptional
7.7%
Tragic
10.8%
Males
Exceptional
10.0%
Tragic
13.5%
Females
Exceptional
11.9%
Tragic
15.9%
Females 18 to 24 years
Exceptional
18.2%
Tragic
24.5%
Females 25 to 34 years
Exceptional
11.4%
Tragic
17.0%
Children Under 5 years
Exceptional
14.0%
Tragic
21.8%
Children Under 16 years
Exceptional
13.5%
Tragic
19.5%
Boys Under 16 years
Exceptional
13.5%
Tragic
19.8%
Girls Under 16 years
Exceptional
13.7%
Tragic
19.6%
Single Males
Exceptional
11.2%
Tragic
16.3%
Single Females
Exceptional
18.3%
Tragic
26.3%
Single Fathers
Exceptional
14.6%
Tragic
19.0%
Single Mothers
Exceptional
26.0%
Tragic
34.4%
Married Couples
Exceptional
4.7%
Tragic
5.8%
Seniors Over 65 years
Excellent
10.4%
Good
10.7%
Seniors Over 75 years
Good
12.0%
Exceptional
11.6%
Receiving Food Stamps
Exceptional
9.7%
Tragic
13.1%

Asian vs Chickasaw Unemployment

When considering unemployment, the most significant differences between Asian and Chickasaw communities in the United States are seen in unemployment among women with children under 6 years (6.7% compared to 9.0%, a difference of 34.3%), unemployment among ages 30 to 34 years (5.1% compared to 6.2%, a difference of 21.0%), and unemployment among seniors over 65 years (5.1% compared to 4.4%, a difference of 14.9%). Conversely, both communities are more comparable in terms of female unemployment (5.2% compared to 5.1%, a difference of 0.49%), unemployment (5.1% compared to 5.0%, a difference of 1.1%), and unemployment among ages 16 to 19 years (16.9% compared to 16.7%, a difference of 1.3%).
Asian vs Chickasaw Unemployment
Unemployment MetricAsianChickasaw
Unemployment
Excellent
5.1%
Exceptional
5.0%
Males
Exceptional
5.1%
Excellent
5.2%
Females
Good
5.2%
Excellent
5.1%
Youth < 25
Good
11.4%
Exceptional
11.2%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
16.7%
Age | 20 to 24 years
Good
10.2%
Exceptional
9.9%
Age | 25 to 29 years
Exceptional
6.3%
Fair
6.7%
Age | 30 to 34 years
Exceptional
5.1%
Tragic
6.2%
Age | 35 to 44 years
Exceptional
4.4%
Tragic
4.9%
Age | 45 to 54 years
Exceptional
4.3%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.7%
Good
4.8%
Age | 60 to 64 years
Average
4.9%
Exceptional
4.3%
Age | 65 to 74 years
Exceptional
5.3%
Exceptional
4.7%
Seniors > 65
Excellent
5.1%
Exceptional
4.4%
Seniors > 75
Exceptional
8.3%
Exceptional
7.3%
Women w/ Children < 6
Exceptional
6.7%
Tragic
9.0%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
8.6%
Women w/ Children < 18
Exceptional
5.1%
Good
5.4%

Asian vs Chickasaw Labor Participation

When considering labor participation, the most significant differences between Asian and Chickasaw communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 38.3%, a difference of 12.5%), in labor force | age > 16 (66.2% compared to 62.3%, a difference of 6.3%), and in labor force | age 45-54 (83.4% compared to 79.0%, a difference of 5.6%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (73.7% compared to 74.5%, a difference of 1.1%), in labor force | age 25-29 (84.8% compared to 81.9%, a difference of 3.6%), and in labor force | age 30-34 (85.1% compared to 81.9%, a difference of 3.9%).
Asian vs Chickasaw Labor Participation
Labor Participation MetricAsianChickasaw
In Labor Force | Age > 16
Exceptional
66.2%
Tragic
62.3%
In Labor Force | Age 20-64
Exceptional
80.2%
Tragic
76.2%
In Labor Force | Age 16-19
Tragic
34.1%
Exceptional
38.3%
In Labor Force | Age 20-24
Tragic
73.7%
Poor
74.5%
In Labor Force | Age 25-29
Good
84.8%
Tragic
81.9%
In Labor Force | Age 30-34
Exceptional
85.1%
Tragic
81.9%
In Labor Force | Age 35-44
Exceptional
84.7%
Tragic
80.9%
In Labor Force | Age 45-54
Exceptional
83.4%
Tragic
79.0%

Asian vs Chickasaw Family Structure

When considering family structure, the most significant differences between Asian and Chickasaw communities in the United States are seen in births to unmarried women (26.8% compared to 36.3%, a difference of 35.5%), divorced or separated (10.6% compared to 14.2%, a difference of 33.6%), and single father households (2.1% compared to 2.8%, a difference of 31.0%). Conversely, both communities are more comparable in terms of average family size (3.28 compared to 3.19, a difference of 2.9%), family households with children (29.1% compared to 28.2%, a difference of 2.9%), and family households (66.5% compared to 64.4%, a difference of 3.3%).
Asian vs Chickasaw Family Structure
Family Structure MetricAsianChickasaw
Family Households
Exceptional
66.5%
Good
64.4%
Family Households with Children
Exceptional
29.1%
Exceptional
28.2%
Married-couple Households
Exceptional
49.5%
Fair
45.9%
Average Family Size
Exceptional
3.28
Tragic
3.19
Single Father Households
Exceptional
2.1%
Tragic
2.8%
Single Mother Households
Exceptional
5.6%
Tragic
7.0%
Currently Married
Exceptional
48.4%
Average
46.6%
Divorced or Separated
Exceptional
10.6%
Tragic
14.2%
Births to Unmarried Women
Exceptional
26.8%
Tragic
36.3%

Asian vs Chickasaw Vehicle Availability

When considering vehicle availability, the most significant differences between Asian and Chickasaw communities in the United States are seen in no vehicles in household (9.0% compared to 7.9%, a difference of 14.2%), 3 or more vehicles in household (20.8% compared to 22.2%, a difference of 7.0%), and 4 or more vehicles in household (7.0% compared to 7.4%, a difference of 6.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 92.3%, a difference of 1.3%), 2 or more vehicles in household (57.0% compared to 59.0%, a difference of 3.5%), and 4 or more vehicles in household (7.0% compared to 7.4%, a difference of 6.1%).
Asian vs Chickasaw Vehicle Availability
Vehicle Availability MetricAsianChickasaw
No Vehicles Available
Exceptional
9.0%
Exceptional
7.9%
1+ Vehicles Available
Exceptional
91.1%
Exceptional
92.3%
2+ Vehicles Available
Exceptional
57.0%
Exceptional
59.0%
3+ Vehicles Available
Exceptional
20.8%
Exceptional
22.2%
4+ Vehicles Available
Exceptional
7.0%
Exceptional
7.4%

Asian vs Chickasaw Education Level

When considering education level, the most significant differences between Asian and Chickasaw communities in the United States are seen in professional degree (5.5% compared to 3.4%, a difference of 63.9%), master's degree (18.4% compared to 11.4%, a difference of 61.5%), and doctorate degree (2.4% compared to 1.5%, a difference of 60.9%). Conversely, both communities are more comparable in terms of 11th grade (92.5% compared to 92.3%, a difference of 0.19%), 10th grade (93.5% compared to 94.1%, a difference of 0.62%), and nursery school (97.6% compared to 98.4%, a difference of 0.76%).
Asian vs Chickasaw Education Level
Education Level MetricAsianChickasaw
No Schooling Completed
Tragic
2.4%
Exceptional
1.7%
Nursery School
Tragic
97.6%
Exceptional
98.4%
Kindergarten
Tragic
97.6%
Exceptional
98.4%
1st Grade
Tragic
97.6%
Exceptional
98.3%
2nd Grade
Tragic
97.5%
Exceptional
98.3%
3rd Grade
Tragic
97.4%
Exceptional
98.2%
4th Grade
Tragic
97.1%
Exceptional
98.0%
5th Grade
Tragic
96.9%
Exceptional
97.9%
6th Grade
Tragic
96.6%
Exceptional
97.6%
7th Grade
Tragic
95.5%
Exceptional
96.7%
8th Grade
Tragic
95.2%
Exceptional
96.4%
9th Grade
Tragic
94.5%
Exceptional
95.5%
10th Grade
Fair
93.5%
Excellent
94.1%
11th Grade
Average
92.5%
Fair
92.3%
12th Grade, No Diploma
Good
91.4%
Tragic
90.3%
High School Diploma
Good
89.4%
Poor
88.4%
GED/Equivalency
Exceptional
86.7%
Tragic
83.8%
College, Under 1 year
Exceptional
69.4%
Tragic
60.4%
College, 1 year or more
Exceptional
64.2%
Tragic
53.3%
Associate's Degree
Exceptional
52.1%
Tragic
38.6%
Bachelor's Degree
Exceptional
44.4%
Tragic
30.4%
Master's Degree
Exceptional
18.4%
Tragic
11.4%
Professional Degree
Exceptional
5.5%
Tragic
3.4%
Doctorate Degree
Exceptional
2.4%
Tragic
1.5%

Asian vs Chickasaw Disability

When considering disability, the most significant differences between Asian and Chickasaw communities in the United States are seen in disability age 35 to 64 (9.4% compared to 16.1%, a difference of 71.7%), vision disability (1.9% compared to 3.2%, a difference of 67.3%), and hearing disability (2.7% compared to 4.5%, a difference of 63.5%). Conversely, both communities are more comparable in terms of disability age over 75 (46.9% compared to 51.2%, a difference of 9.0%), cognitive disability (16.7% compared to 18.5%, a difference of 10.4%), and self-care disability (2.3% compared to 2.9%, a difference of 22.9%).
Asian vs Chickasaw Disability
Disability MetricAsianChickasaw
Disability
Exceptional
10.4%
Tragic
15.2%
Males
Exceptional
10.0%
Tragic
15.1%
Females
Exceptional
10.9%
Tragic
15.2%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.7%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
6.8%
Age | 18 to 34 years
Exceptional
5.8%
Tragic
9.0%
Age | 35 to 64 years
Exceptional
9.4%
Tragic
16.1%
Age | 65 to 74 years
Exceptional
21.4%
Tragic
30.2%
Age | Over 75 years
Excellent
46.9%
Tragic
51.2%
Vision
Exceptional
1.9%
Tragic
3.2%
Hearing
Exceptional
2.7%
Tragic
4.5%
Cognitive
Exceptional
16.7%
Tragic
18.5%
Ambulatory
Exceptional
5.4%
Tragic
8.0%
Self-Care
Exceptional
2.3%
Tragic
2.9%