Asian vs Chippewa Community Comparison

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Asian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChoctawColombianColvilleComancheCosta 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
Chippewa
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

Chippewa

Excellent
Fair
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK
2,429
SOCIAL INDEX
21.8/ 100
SOCIAL RATING
259th/ 347
SOCIAL RANK

Chippewa Integration in Asian Communities

The statistical analysis conducted on geographies consisting of 212,266,934 people shows a weak negative correlation between the proportion of Chippewa within Asian communities in the United States with a correlation coefficient (R) of -0.240. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.001% in Chippewa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 1.0 Chippewa.
Asian Integration in Chippewa Communities

Asian vs Chippewa Income

When considering income, the most significant differences between Asian and Chippewa communities in the United States are seen in median household income ($101,681 compared to $70,539, a difference of 44.2%), householder income ages 45 - 64 years ($118,426 compared to $83,943, a difference of 41.1%), and householder income ages 25 - 44 years ($112,666 compared to $80,005, a difference of 40.8%). Conversely, both communities are more comparable in terms of wage/income gap (26.9% compared to 25.0%, a difference of 7.8%), householder income under 25 years ($57,003 compared to $47,015, a difference of 21.2%), and median female earnings ($44,586 compared to $35,003, a difference of 27.4%).
Asian vs Chippewa Income
Income MetricAsianChippewa
Per Capita Income
Exceptional
$50,057
Tragic
$36,631
Median Family Income
Exceptional
$119,955
Tragic
$86,852
Median Household Income
Exceptional
$101,681
Tragic
$70,539
Median Earnings
Exceptional
$53,690
Tragic
$40,287
Median Male Earnings
Exceptional
$63,827
Tragic
$46,368
Median Female Earnings
Exceptional
$44,586
Tragic
$35,003
Householder Age | Under 25 years
Exceptional
$57,003
Tragic
$47,015
Householder Age | 25 - 44 years
Exceptional
$112,666
Tragic
$80,005
Householder Age | 45 - 64 years
Exceptional
$118,426
Tragic
$83,943
Householder Age | Over 65 years
Exceptional
$68,822
Tragic
$53,847
Wage/Income Gap
Tragic
26.9%
Excellent
25.0%

Asian vs Chippewa Poverty

When considering poverty, the most significant differences between Asian and Chippewa communities in the United States are seen in child poverty under the age of 5 (14.0% compared to 23.4%, a difference of 67.6%), female poverty among 25-34 year olds (11.4% compared to 18.0%, a difference of 57.9%), and child poverty among boys under 16 (13.5% compared to 21.0%, a difference of 55.1%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.0% compared to 13.1%, a difference of 8.7%), seniors poverty over the age of 65 (10.4% compared to 12.1%, a difference of 16.6%), and married-couple family poverty (4.7% compared to 5.4%, a difference of 16.7%).
Asian vs Chippewa Poverty
Poverty MetricAsianChippewa
Poverty
Exceptional
11.0%
Tragic
15.7%
Families
Exceptional
7.7%
Tragic
11.2%
Males
Exceptional
10.0%
Tragic
14.6%
Females
Exceptional
11.9%
Tragic
16.7%
Females 18 to 24 years
Exceptional
18.2%
Tragic
25.9%
Females 25 to 34 years
Exceptional
11.4%
Tragic
18.0%
Children Under 5 years
Exceptional
14.0%
Tragic
23.4%
Children Under 16 years
Exceptional
13.5%
Tragic
20.5%
Boys Under 16 years
Exceptional
13.5%
Tragic
21.0%
Girls Under 16 years
Exceptional
13.7%
Tragic
20.6%
Single Males
Exceptional
11.2%
Tragic
16.4%
Single Females
Exceptional
18.3%
Tragic
26.8%
Single Fathers
Exceptional
14.6%
Tragic
18.8%
Single Mothers
Exceptional
26.0%
Tragic
34.8%
Married Couples
Exceptional
4.7%
Poor
5.4%
Seniors Over 65 years
Excellent
10.4%
Tragic
12.1%
Seniors Over 75 years
Good
12.0%
Tragic
13.1%
Receiving Food Stamps
Exceptional
9.7%
Tragic
14.7%

Asian vs Chippewa Unemployment

When considering unemployment, the most significant differences between Asian and Chippewa communities in the United States are seen in unemployment among women with children under 6 years (6.7% compared to 13.3%, a difference of 99.8%), unemployment among ages 30 to 34 years (5.1% compared to 7.8%, a difference of 51.4%), and unemployment among ages 35 to 44 years (4.4% compared to 6.2%, a difference of 41.9%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 1.1%), unemployment among ages 16 to 19 years (16.9% compared to 18.0%, a difference of 6.4%), and unemployment among seniors over 65 years (5.1% compared to 5.4%, a difference of 6.8%).
Asian vs Chippewa Unemployment
Unemployment MetricAsianChippewa
Unemployment
Excellent
5.1%
Tragic
6.2%
Males
Exceptional
5.1%
Tragic
6.6%
Females
Good
5.2%
Tragic
6.1%
Youth < 25
Good
11.4%
Tragic
13.5%
Age | 16 to 19 years
Exceptional
16.9%
Poor
18.0%
Age | 20 to 24 years
Good
10.2%
Tragic
12.3%
Age | 25 to 29 years
Exceptional
6.3%
Tragic
7.8%
Age | 30 to 34 years
Exceptional
5.1%
Tragic
7.8%
Age | 35 to 44 years
Exceptional
4.4%
Tragic
6.2%
Age | 45 to 54 years
Exceptional
4.3%
Tragic
5.5%
Age | 55 to 59 years
Exceptional
4.7%
Tragic
5.9%
Age | 60 to 64 years
Average
4.9%
Poor
4.9%
Age | 65 to 74 years
Exceptional
5.3%
Tragic
5.7%
Seniors > 65
Excellent
5.1%
Tragic
5.4%
Seniors > 75
Exceptional
8.3%
Tragic
10.1%
Women w/ Children < 6
Exceptional
6.7%
Tragic
13.3%
Women w/ Children 6 to 17
Exceptional
8.0%
Tragic
11.1%
Women w/ Children < 18
Exceptional
5.1%
Tragic
7.0%

Asian vs Chippewa Labor Participation

When considering labor participation, the most significant differences between Asian and Chippewa communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 43.8%, a difference of 28.6%), in labor force | age > 16 (66.2% compared to 63.1%, a difference of 4.9%), and in labor force | age 20-24 (73.7% compared to 77.1%, a difference of 4.6%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 82.9%, a difference of 2.1%), in labor force | age 25-29 (84.8% compared to 82.9%, a difference of 2.3%), and in labor force | age 45-54 (83.4% compared to 81.3%, a difference of 2.7%).
Asian vs Chippewa Labor Participation
Labor Participation MetricAsianChippewa
In Labor Force | Age > 16
Exceptional
66.2%
Tragic
63.1%
In Labor Force | Age 20-64
Exceptional
80.2%
Tragic
77.3%
In Labor Force | Age 16-19
Tragic
34.1%
Exceptional
43.8%
In Labor Force | Age 20-24
Tragic
73.7%
Exceptional
77.1%
In Labor Force | Age 25-29
Good
84.8%
Tragic
82.9%
In Labor Force | Age 30-34
Exceptional
85.1%
Tragic
82.6%
In Labor Force | Age 35-44
Exceptional
84.7%
Tragic
82.9%
In Labor Force | Age 45-54
Exceptional
83.4%
Tragic
81.3%

Asian vs Chippewa Family Structure

When considering family structure, the most significant differences between Asian and Chippewa communities in the United States are seen in births to unmarried women (26.8% compared to 42.6%, a difference of 59.2%), single father households (2.1% compared to 3.1%, a difference of 47.2%), and single mother households (5.6% compared to 8.0%, a difference of 42.7%). Conversely, both communities are more comparable in terms of average family size (3.28 compared to 3.20, a difference of 2.5%), family households (66.5% compared to 62.1%, a difference of 7.1%), and family households with children (29.1% compared to 26.7%, a difference of 8.6%).
Asian vs Chippewa Family Structure
Family Structure MetricAsianChippewa
Family Households
Exceptional
66.5%
Tragic
62.1%
Family Households with Children
Exceptional
29.1%
Tragic
26.7%
Married-couple Households
Exceptional
49.5%
Tragic
42.1%
Average Family Size
Exceptional
3.28
Poor
3.20
Single Father Households
Exceptional
2.1%
Tragic
3.1%
Single Mother Households
Exceptional
5.6%
Tragic
8.0%
Currently Married
Exceptional
48.4%
Tragic
43.2%
Divorced or Separated
Exceptional
10.6%
Tragic
13.2%
Births to Unmarried Women
Exceptional
26.8%
Tragic
42.6%

Asian vs Chippewa Vehicle Availability

When considering vehicle availability, the most significant differences between Asian and Chippewa communities in the United States are seen in 4 or more vehicles in household (7.0% compared to 7.6%, a difference of 8.0%), no vehicles in household (9.0% compared to 9.4%, a difference of 5.3%), and 3 or more vehicles in household (20.8% compared to 21.5%, a difference of 3.7%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.0% compared to 57.2%, a difference of 0.37%), 1 or more vehicles in household (91.1% compared to 90.7%, a difference of 0.46%), and 3 or more vehicles in household (20.8% compared to 21.5%, a difference of 3.7%).
Asian vs Chippewa Vehicle Availability
Vehicle Availability MetricAsianChippewa
No Vehicles Available
Exceptional
9.0%
Exceptional
9.4%
1+ Vehicles Available
Exceptional
91.1%
Exceptional
90.7%
2+ Vehicles Available
Exceptional
57.0%
Exceptional
57.2%
3+ Vehicles Available
Exceptional
20.8%
Exceptional
21.5%
4+ Vehicles Available
Exceptional
7.0%
Exceptional
7.6%

Asian vs Chippewa Education Level

When considering education level, the most significant differences between Asian and Chippewa communities in the United States are seen in master's degree (18.4% compared to 11.4%, a difference of 61.5%), doctorate degree (2.4% compared to 1.5%, a difference of 59.4%), and professional degree (5.5% compared to 3.5%, a difference of 58.9%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.4% compared to 91.5%, a difference of 0.12%), high school diploma (89.4% compared to 89.7%, a difference of 0.34%), and nursery school (97.6% compared to 98.5%, a difference of 0.89%).
Asian vs Chippewa Education Level
Education Level MetricAsianChippewa
No Schooling Completed
Tragic
2.4%
Exceptional
1.6%
Nursery School
Tragic
97.6%
Exceptional
98.5%
Kindergarten
Tragic
97.6%
Exceptional
98.5%
1st Grade
Tragic
97.6%
Exceptional
98.5%
2nd Grade
Tragic
97.5%
Exceptional
98.4%
3rd Grade
Tragic
97.4%
Exceptional
98.4%
4th Grade
Tragic
97.1%
Exceptional
98.2%
5th Grade
Tragic
96.9%
Exceptional
98.1%
6th Grade
Tragic
96.6%
Exceptional
97.9%
7th Grade
Tragic
95.5%
Exceptional
97.3%
8th Grade
Tragic
95.2%
Exceptional
97.1%
9th Grade
Tragic
94.5%
Exceptional
96.1%
10th Grade
Fair
93.5%
Exceptional
95.0%
11th Grade
Average
92.5%
Exceptional
93.5%
12th Grade, No Diploma
Good
91.4%
Good
91.5%
High School Diploma
Good
89.4%
Excellent
89.7%
GED/Equivalency
Exceptional
86.7%
Fair
85.2%
College, Under 1 year
Exceptional
69.4%
Tragic
62.6%
College, 1 year or more
Exceptional
64.2%
Tragic
55.7%
Associate's Degree
Exceptional
52.1%
Tragic
40.7%
Bachelor's Degree
Exceptional
44.4%
Tragic
30.6%
Master's Degree
Exceptional
18.4%
Tragic
11.4%
Professional Degree
Exceptional
5.5%
Tragic
3.5%
Doctorate Degree
Exceptional
2.4%
Tragic
1.5%

Asian vs Chippewa Disability

When considering disability, the most significant differences between Asian and Chippewa communities in the United States are seen in disability age under 5 (1.1% compared to 1.9%, a difference of 73.2%), disability age 35 to 64 (9.4% compared to 15.0%, a difference of 59.5%), and disability age 18 to 34 (5.8% compared to 9.0%, a difference of 54.0%). Conversely, both communities are more comparable in terms of disability age over 75 (46.9% compared to 48.4%, a difference of 3.2%), cognitive disability (16.7% compared to 18.1%, a difference of 8.0%), and self-care disability (2.3% compared to 2.6%, a difference of 13.7%).
Asian vs Chippewa Disability
Disability MetricAsianChippewa
Disability
Exceptional
10.4%
Tragic
14.1%
Males
Exceptional
10.0%
Tragic
14.3%
Females
Exceptional
10.9%
Tragic
14.0%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.9%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
7.1%
Age | 18 to 34 years
Exceptional
5.8%
Tragic
9.0%
Age | 35 to 64 years
Exceptional
9.4%
Tragic
15.0%
Age | 65 to 74 years
Exceptional
21.4%
Tragic
27.8%
Age | Over 75 years
Excellent
46.9%
Tragic
48.4%
Vision
Exceptional
1.9%
Tragic
2.4%
Hearing
Exceptional
2.7%
Tragic
4.0%
Cognitive
Exceptional
16.7%
Tragic
18.1%
Ambulatory
Exceptional
5.4%
Tragic
7.1%
Self-Care
Exceptional
2.3%
Tragic
2.6%