Chippewa vs Chinese Community Comparison

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Chippewa
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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 TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral 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
Chinese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTlingit-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

Chippewa

Chinese

Fair
Exceptional
2,429
SOCIAL INDEX
21.8/ 100
SOCIAL RATING
259th/ 347
SOCIAL RANK
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK

Chinese Integration in Chippewa Communities

The statistical analysis conducted on geographies consisting of 52,798,130 people shows a slight negative correlation between the proportion of Chinese within Chippewa communities in the United States with a correlation coefficient (R) of -0.087. On average, for every 1% (one percent) increase in Chippewa within a typical geography, there is a decrease of 0.005% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chippewa corresponds to a decrease of 4.7 Chinese.
Chippewa Integration in Chinese Communities

Chippewa vs Chinese Income

When considering income, the most significant differences between Chippewa and Chinese communities in the United States are seen in householder income over 65 years ($53,847 compared to $77,465, a difference of 43.9%), median household income ($70,539 compared to $98,496, a difference of 39.6%), and householder income ages 45 - 64 years ($83,943 compared to $116,156, a difference of 38.4%). Conversely, both communities are more comparable in terms of wage/income gap (25.0% compared to 25.9%, a difference of 3.7%), median female earnings ($35,003 compared to $41,461, a difference of 18.4%), and median earnings ($40,287 compared to $48,836, a difference of 21.2%).
Chippewa vs Chinese Income
Income MetricChippewaChinese
Per Capita Income
Tragic
$36,631
Exceptional
$46,098
Median Family Income
Tragic
$86,852
Exceptional
$116,188
Median Household Income
Tragic
$70,539
Exceptional
$98,496
Median Earnings
Tragic
$40,287
Exceptional
$48,836
Median Male Earnings
Tragic
$46,368
Exceptional
$56,872
Median Female Earnings
Tragic
$35,003
Exceptional
$41,461
Householder Age | Under 25 years
Tragic
$47,015
Exceptional
$58,162
Householder Age | 25 - 44 years
Tragic
$80,005
Exceptional
$104,264
Householder Age | 45 - 64 years
Tragic
$83,943
Exceptional
$116,156
Householder Age | Over 65 years
Tragic
$53,847
Exceptional
$77,465
Wage/Income Gap
Excellent
25.0%
Average
25.9%

Chippewa vs Chinese Poverty

When considering poverty, the most significant differences between Chippewa and Chinese communities in the United States are seen in child poverty under the age of 5 (23.4% compared to 13.1%, a difference of 79.2%), child poverty among boys under 16 (21.0% compared to 11.9%, a difference of 76.7%), and family poverty (11.2% compared to 6.5%, a difference of 72.7%). Conversely, both communities are more comparable in terms of single father poverty (18.8% compared to 15.4%, a difference of 22.1%), single mother poverty (34.8% compared to 24.6%, a difference of 41.2%), and seniors poverty over the age of 75 (13.1% compared to 9.1%, a difference of 43.9%).
Chippewa vs Chinese Poverty
Poverty MetricChippewaChinese
Poverty
Tragic
15.7%
Exceptional
9.5%
Families
Tragic
11.2%
Exceptional
6.5%
Males
Tragic
14.6%
Exceptional
8.7%
Females
Tragic
16.7%
Exceptional
10.4%
Females 18 to 24 years
Tragic
25.9%
Exceptional
16.2%
Females 25 to 34 years
Tragic
18.0%
Exceptional
11.0%
Children Under 5 years
Tragic
23.4%
Exceptional
13.1%
Children Under 16 years
Tragic
20.5%
Exceptional
11.9%
Boys Under 16 years
Tragic
21.0%
Exceptional
11.9%
Girls Under 16 years
Tragic
20.6%
Exceptional
12.3%
Single Males
Tragic
16.4%
Exceptional
11.0%
Single Females
Tragic
26.8%
Exceptional
16.1%
Single Fathers
Tragic
18.8%
Exceptional
15.4%
Single Mothers
Tragic
34.8%
Exceptional
24.6%
Married Couples
Poor
5.4%
Exceptional
3.6%
Seniors Over 65 years
Tragic
12.1%
Exceptional
8.3%
Seniors Over 75 years
Tragic
13.1%
Exceptional
9.1%
Receiving Food Stamps
Tragic
14.7%
Exceptional
9.8%

Chippewa vs Chinese Unemployment

When considering unemployment, the most significant differences between Chippewa and Chinese communities in the United States are seen in unemployment among women with children under 6 years (13.3% compared to 6.8%, a difference of 96.1%), unemployment among seniors over 75 years (10.1% compared to 5.9%, a difference of 70.9%), and unemployment among ages 30 to 34 years (7.8% compared to 5.1%, a difference of 51.9%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (18.0% compared to 16.0%, a difference of 11.9%), unemployment among women with children ages 6 to 17 years (11.1% compared to 9.3%, a difference of 19.8%), and unemployment among ages 60 to 64 years (4.9% compared to 4.0%, a difference of 23.1%).
Chippewa vs Chinese Unemployment
Unemployment MetricChippewaChinese
Unemployment
Tragic
6.2%
Exceptional
4.7%
Males
Tragic
6.6%
Exceptional
4.9%
Females
Tragic
6.1%
Exceptional
4.5%
Youth < 25
Tragic
13.5%
Exceptional
10.7%
Age | 16 to 19 years
Poor
18.0%
Exceptional
16.0%
Age | 20 to 24 years
Tragic
12.3%
Exceptional
9.4%
Age | 25 to 29 years
Tragic
7.8%
Exceptional
6.1%
Age | 30 to 34 years
Tragic
7.8%
Exceptional
5.1%
Age | 35 to 44 years
Tragic
6.2%
Exceptional
4.3%
Age | 45 to 54 years
Tragic
5.5%
Exceptional
4.0%
Age | 55 to 59 years
Tragic
5.9%
Exceptional
4.4%
Age | 60 to 64 years
Poor
4.9%
Exceptional
4.0%
Age | 65 to 74 years
Tragic
5.7%
Exceptional
4.4%
Seniors > 65
Tragic
5.4%
Exceptional
4.2%
Seniors > 75
Tragic
10.1%
Exceptional
5.9%
Women w/ Children < 6
Tragic
13.3%
Exceptional
6.8%
Women w/ Children 6 to 17
Tragic
11.1%
Tragic
9.3%
Women w/ Children < 18
Tragic
7.0%
Exceptional
4.9%

Chippewa vs Chinese Labor Participation

When considering labor participation, the most significant differences between Chippewa and Chinese communities in the United States are seen in in labor force | age 16-19 (43.8% compared to 38.6%, a difference of 13.5%), in labor force | age 20-64 (77.3% compared to 80.7%, a difference of 4.3%), and in labor force | age 45-54 (81.3% compared to 84.1%, a difference of 3.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.1% compared to 77.3%, a difference of 0.25%), in labor force | age 25-29 (82.9% compared to 84.3%, a difference of 1.7%), and in labor force | age > 16 (63.1% compared to 64.7%, a difference of 2.5%).
Chippewa vs Chinese Labor Participation
Labor Participation MetricChippewaChinese
In Labor Force | Age > 16
Tragic
63.1%
Tragic
64.7%
In Labor Force | Age 20-64
Tragic
77.3%
Exceptional
80.7%
In Labor Force | Age 16-19
Exceptional
43.8%
Exceptional
38.6%
In Labor Force | Age 20-24
Exceptional
77.1%
Exceptional
77.3%
In Labor Force | Age 25-29
Tragic
82.9%
Poor
84.3%
In Labor Force | Age 30-34
Tragic
82.6%
Excellent
85.0%
In Labor Force | Age 35-44
Tragic
82.9%
Exceptional
85.1%
In Labor Force | Age 45-54
Tragic
81.3%
Exceptional
84.1%

Chippewa vs Chinese Family Structure

When considering family structure, the most significant differences between Chippewa and Chinese communities in the United States are seen in single father households (3.1% compared to 2.0%, a difference of 56.7%), single mother households (8.0% compared to 5.2%, a difference of 54.5%), and births to unmarried women (42.6% compared to 30.2%, a difference of 41.0%). Conversely, both communities are more comparable in terms of family households with children (26.7% compared to 26.0%, a difference of 2.8%), average family size (3.20 compared to 3.34, a difference of 4.4%), and family households (62.1% compared to 68.1%, a difference of 9.8%).
Chippewa vs Chinese Family Structure
Family Structure MetricChippewaChinese
Family Households
Tragic
62.1%
Exceptional
68.1%
Family Households with Children
Tragic
26.7%
Tragic
26.0%
Married-couple Households
Tragic
42.1%
Exceptional
50.4%
Average Family Size
Poor
3.20
Exceptional
3.34
Single Father Households
Tragic
3.1%
Exceptional
2.0%
Single Mother Households
Tragic
8.0%
Exceptional
5.2%
Currently Married
Tragic
43.2%
Exceptional
49.5%
Divorced or Separated
Tragic
13.2%
Exceptional
11.2%
Births to Unmarried Women
Tragic
42.6%
Excellent
30.2%

Chippewa vs Chinese Vehicle Availability

When considering vehicle availability, the most significant differences between Chippewa and Chinese communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 8.8%, a difference of 16.9%), no vehicles in household (9.4% compared to 8.2%, a difference of 14.9%), and 3 or more vehicles in household (21.5% compared to 23.9%, a difference of 10.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.7% compared to 91.9%, a difference of 1.3%), 2 or more vehicles in household (57.2% compared to 60.1%, a difference of 5.1%), and 3 or more vehicles in household (21.5% compared to 23.9%, a difference of 10.9%).
Chippewa vs Chinese Vehicle Availability
Vehicle Availability MetricChippewaChinese
No Vehicles Available
Exceptional
9.4%
Exceptional
8.2%
1+ Vehicles Available
Exceptional
90.7%
Exceptional
91.9%
2+ Vehicles Available
Exceptional
57.2%
Exceptional
60.1%
3+ Vehicles Available
Exceptional
21.5%
Exceptional
23.9%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
8.8%

Chippewa vs Chinese Education Level

When considering education level, the most significant differences between Chippewa and Chinese communities in the United States are seen in professional degree (3.5% compared to 4.5%, a difference of 28.7%), master's degree (11.4% compared to 14.6%, a difference of 27.6%), and bachelor's degree (30.6% compared to 38.5%, a difference of 25.9%). Conversely, both communities are more comparable in terms of 5th grade (98.1% compared to 98.1%, a difference of 0.010%), 4th grade (98.2% compared to 98.3%, a difference of 0.020%), and 6th grade (97.9% compared to 97.9%, a difference of 0.030%).
Chippewa vs Chinese Education Level
Education Level MetricChippewaChinese
No Schooling Completed
Exceptional
1.6%
Exceptional
1.5%
Nursery School
Exceptional
98.5%
Exceptional
98.6%
Kindergarten
Exceptional
98.5%
Exceptional
98.5%
1st Grade
Exceptional
98.5%
Exceptional
98.5%
2nd Grade
Exceptional
98.4%
Exceptional
98.5%
3rd Grade
Exceptional
98.4%
Exceptional
98.4%
4th Grade
Exceptional
98.2%
Exceptional
98.3%
5th Grade
Exceptional
98.1%
Exceptional
98.1%
6th Grade
Exceptional
97.9%
Exceptional
97.9%
7th Grade
Exceptional
97.3%
Exceptional
97.1%
8th Grade
Exceptional
97.1%
Exceptional
96.9%
9th Grade
Exceptional
96.1%
Exceptional
96.3%
10th Grade
Exceptional
95.0%
Exceptional
95.5%
11th Grade
Exceptional
93.5%
Exceptional
94.6%
12th Grade, No Diploma
Good
91.5%
Exceptional
93.6%
High School Diploma
Excellent
89.7%
Exceptional
92.0%
GED/Equivalency
Fair
85.2%
Exceptional
89.0%
College, Under 1 year
Tragic
62.6%
Exceptional
68.3%
College, 1 year or more
Tragic
55.7%
Exceptional
62.2%
Associate's Degree
Tragic
40.7%
Exceptional
48.5%
Bachelor's Degree
Tragic
30.6%
Good
38.5%
Master's Degree
Tragic
11.4%
Fair
14.6%
Professional Degree
Tragic
3.5%
Average
4.5%
Doctorate Degree
Tragic
1.5%
Fair
1.8%

Chippewa vs Chinese Disability

When considering disability, the most significant differences between Chippewa and Chinese communities in the United States are seen in disability age under 5 (1.9% compared to 1.1%, a difference of 64.8%), disability age 5 to 17 (7.1% compared to 4.7%, a difference of 51.5%), and disability age 35 to 64 (15.0% compared to 10.3%, a difference of 45.3%). Conversely, both communities are more comparable in terms of disability age over 75 (48.4% compared to 48.7%, a difference of 0.61%), self-care disability (2.6% compared to 2.6%, a difference of 2.9%), and hearing disability (4.0% compared to 3.7%, a difference of 8.5%).
Chippewa vs Chinese Disability
Disability MetricChippewaChinese
Disability
Tragic
14.1%
Tragic
12.2%
Males
Tragic
14.3%
Tragic
12.1%
Females
Tragic
14.0%
Fair
12.3%
Age | Under 5 years
Tragic
1.9%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
7.1%
Exceptional
4.7%
Age | 18 to 34 years
Tragic
9.0%
Exceptional
6.3%
Age | 35 to 64 years
Tragic
15.0%
Exceptional
10.3%
Age | 65 to 74 years
Tragic
27.8%
Exceptional
21.7%
Age | Over 75 years
Tragic
48.4%
Tragic
48.7%
Vision
Tragic
2.4%
Exceptional
2.0%
Hearing
Tragic
4.0%
Tragic
3.7%
Cognitive
Tragic
18.1%
Exceptional
15.9%
Ambulatory
Tragic
7.1%
Tragic
6.5%
Self-Care
Tragic
2.6%
Tragic
2.6%