Chinese vs Chippewa Community Comparison

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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)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 IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta 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 LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Chinese

Chippewa

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

Chippewa Integration in Chinese Communities

The statistical analysis conducted on geographies consisting of 52,775,021 people shows a slight negative correlation between the proportion of Chippewa within Chinese communities in the United States with a correlation coefficient (R) of -0.100. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is a decrease of 0.011% in Chippewa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to a decrease of 10.8 Chippewa.
Chinese Integration in Chippewa Communities

Chinese vs Chippewa Income

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

Chinese vs Chippewa Poverty

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

Chinese vs Chippewa Unemployment

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

Chinese vs Chippewa Labor Participation

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

Chinese vs Chippewa Family Structure

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

Chinese vs Chippewa Vehicle Availability

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

Chinese vs Chippewa Education Level

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

Chinese vs Chippewa Disability

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