Chinese vs Potawatomi Community Comparison

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Chinese
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 GermanPeruvianPimaPolishPortuguesePuebloPuerto 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
Potawatomi
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

Potawatomi

Exceptional
Fair
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK
3,223
SOCIAL INDEX
29.8/ 100
SOCIAL RATING
227th/ 347
SOCIAL RANK

Potawatomi Integration in Chinese Communities

The statistical analysis conducted on geographies consisting of 39,994,499 people shows a near-perfect positive correlation between the proportion of Potawatomi within Chinese communities in the United States with a correlation coefficient (R) of 0.930. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 0.070% in Potawatomi. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to an increase of 70.2 Potawatomi.
Chinese Integration in Potawatomi Communities

Chinese vs Potawatomi Income

When considering income, the most significant differences between Chinese and Potawatomi communities in the United States are seen in householder income over 65 years ($77,465 compared to $54,212, a difference of 42.9%), householder income ages 45 - 64 years ($116,156 compared to $84,613, a difference of 37.3%), and median household income ($98,496 compared to $72,576, a difference of 35.7%). Conversely, both communities are more comparable in terms of wage/income gap (25.9% compared to 27.7%, a difference of 7.0%), median male earnings ($56,872 compared to $48,768, a difference of 16.6%), and median earnings ($48,836 compared to $41,288, a difference of 18.3%).
Chinese vs Potawatomi Income
Income MetricChinesePotawatomi
Per Capita Income
Exceptional
$46,098
Tragic
$38,046
Median Family Income
Exceptional
$116,188
Tragic
$88,265
Median Household Income
Exceptional
$98,496
Tragic
$72,576
Median Earnings
Exceptional
$48,836
Tragic
$41,288
Median Male Earnings
Exceptional
$56,872
Tragic
$48,768
Median Female Earnings
Exceptional
$41,461
Tragic
$34,739
Householder Age | Under 25 years
Exceptional
$58,162
Tragic
$46,462
Householder Age | 25 - 44 years
Exceptional
$104,264
Tragic
$81,774
Householder Age | 45 - 64 years
Exceptional
$116,156
Tragic
$84,613
Householder Age | Over 65 years
Exceptional
$77,465
Tragic
$54,212
Wage/Income Gap
Average
25.9%
Tragic
27.7%

Chinese vs Potawatomi Poverty

When considering poverty, the most significant differences between Chinese and Potawatomi communities in the United States are seen in child poverty among boys under 16 (11.9% compared to 19.4%, a difference of 63.3%), child poverty under the age of 5 (13.1% compared to 21.0%, a difference of 60.8%), and child poverty under the age of 16 (11.9% compared to 19.0%, a difference of 59.2%). Conversely, both communities are more comparable in terms of single father poverty (15.4% compared to 18.9%, a difference of 22.7%), receiving food stamps (9.8% compared to 12.5%, a difference of 27.6%), and seniors poverty over the age of 65 (8.3% compared to 10.8%, a difference of 29.7%).
Chinese vs Potawatomi Poverty
Poverty MetricChinesePotawatomi
Poverty
Exceptional
9.5%
Tragic
14.1%
Families
Exceptional
6.5%
Tragic
10.2%
Males
Exceptional
8.7%
Tragic
12.9%
Females
Exceptional
10.4%
Tragic
15.3%
Females 18 to 24 years
Exceptional
16.2%
Tragic
23.7%
Females 25 to 34 years
Exceptional
11.0%
Tragic
16.5%
Children Under 5 years
Exceptional
13.1%
Tragic
21.0%
Children Under 16 years
Exceptional
11.9%
Tragic
19.0%
Boys Under 16 years
Exceptional
11.9%
Tragic
19.4%
Girls Under 16 years
Exceptional
12.3%
Tragic
19.2%
Single Males
Exceptional
11.0%
Tragic
15.8%
Single Females
Exceptional
16.1%
Tragic
25.4%
Single Fathers
Exceptional
15.4%
Tragic
18.9%
Single Mothers
Exceptional
24.6%
Tragic
34.1%
Married Couples
Exceptional
3.6%
Poor
5.5%
Seniors Over 65 years
Exceptional
8.3%
Good
10.8%
Seniors Over 75 years
Exceptional
9.1%
Average
12.1%
Receiving Food Stamps
Exceptional
9.8%
Poor
12.5%

Chinese vs Potawatomi Unemployment

When considering unemployment, the most significant differences between Chinese and Potawatomi communities in the United States are seen in unemployment among women with children under 6 years (6.8% compared to 9.6%, a difference of 40.9%), unemployment among seniors over 75 years (5.9% compared to 7.8%, a difference of 32.4%), and unemployment among seniors over 65 years (4.2% compared to 5.1%, a difference of 22.1%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.0% compared to 17.2%, a difference of 7.4%), unemployment among youth under 25 years (10.7% compared to 11.6%, a difference of 8.0%), and male unemployment (4.9% compared to 5.3%, a difference of 8.5%).
Chinese vs Potawatomi Unemployment
Unemployment MetricChinesePotawatomi
Unemployment
Exceptional
4.7%
Good
5.2%
Males
Exceptional
4.9%
Fair
5.3%
Females
Exceptional
4.5%
Good
5.2%
Youth < 25
Exceptional
10.7%
Average
11.6%
Age | 16 to 19 years
Exceptional
16.0%
Excellent
17.2%
Age | 20 to 24 years
Exceptional
9.4%
Average
10.3%
Age | 25 to 29 years
Exceptional
6.1%
Tragic
7.1%
Age | 30 to 34 years
Exceptional
5.1%
Tragic
6.0%
Age | 35 to 44 years
Exceptional
4.3%
Tragic
5.0%
Age | 45 to 54 years
Exceptional
4.0%
Tragic
4.7%
Age | 55 to 59 years
Exceptional
4.4%
Good
4.8%
Age | 60 to 64 years
Exceptional
4.0%
Exceptional
4.6%
Age | 65 to 74 years
Exceptional
4.4%
Average
5.4%
Seniors > 65
Exceptional
4.2%
Good
5.1%
Seniors > 75
Exceptional
5.9%
Exceptional
7.8%
Women w/ Children < 6
Exceptional
6.8%
Tragic
9.6%
Women w/ Children 6 to 17
Tragic
9.3%
Exceptional
8.5%
Women w/ Children < 18
Exceptional
4.9%
Tragic
5.7%

Chinese vs Potawatomi Labor Participation

When considering labor participation, the most significant differences between Chinese and Potawatomi communities in the United States are seen in in labor force | age 45-54 (84.1% compared to 80.0%, a difference of 5.2%), in labor force | age 20-64 (80.7% compared to 77.2%, a difference of 4.5%), and in labor force | age 16-19 (38.6% compared to 40.0%, a difference of 3.7%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.3% compared to 76.2%, a difference of 1.4%), in labor force | age 25-29 (84.3% compared to 82.9%, a difference of 1.7%), and in labor force | age 30-34 (85.0% compared to 82.8%, a difference of 2.7%).
Chinese vs Potawatomi Labor Participation
Labor Participation MetricChinesePotawatomi
In Labor Force | Age > 16
Tragic
64.7%
Tragic
62.8%
In Labor Force | Age 20-64
Exceptional
80.7%
Tragic
77.2%
In Labor Force | Age 16-19
Exceptional
38.6%
Exceptional
40.0%
In Labor Force | Age 20-24
Exceptional
77.3%
Exceptional
76.2%
In Labor Force | Age 25-29
Poor
84.3%
Tragic
82.9%
In Labor Force | Age 30-34
Excellent
85.0%
Tragic
82.8%
In Labor Force | Age 35-44
Exceptional
85.1%
Tragic
82.7%
In Labor Force | Age 45-54
Exceptional
84.1%
Tragic
80.0%

Chinese vs Potawatomi Family Structure

When considering family structure, the most significant differences between Chinese and Potawatomi communities in the United States are seen in single mother households (5.2% compared to 6.6%, a difference of 27.9%), single father households (2.0% compared to 2.5%, a difference of 27.8%), and divorced or separated (11.2% compared to 13.5%, a difference of 20.3%). Conversely, both communities are more comparable in terms of family households with children (26.0% compared to 26.9%, a difference of 3.3%), average family size (3.34 compared to 3.16, a difference of 5.6%), and currently married (49.5% compared to 46.5%, a difference of 6.5%).
Chinese vs Potawatomi Family Structure
Family Structure MetricChinesePotawatomi
Family Households
Exceptional
68.1%
Tragic
63.3%
Family Households with Children
Tragic
26.0%
Tragic
26.9%
Married-couple Households
Exceptional
50.4%
Poor
45.7%
Average Family Size
Exceptional
3.34
Tragic
3.16
Single Father Households
Exceptional
2.0%
Tragic
2.5%
Single Mother Households
Exceptional
5.2%
Poor
6.6%
Currently Married
Exceptional
49.5%
Average
46.5%
Divorced or Separated
Exceptional
11.2%
Tragic
13.5%
Births to Unmarried Women
Excellent
30.2%
Tragic
36.2%

Chinese vs Potawatomi Vehicle Availability

When considering vehicle availability, the most significant differences between Chinese and Potawatomi communities in the United States are seen in 4 or more vehicles in household (8.8% compared to 7.3%, a difference of 21.6%), 3 or more vehicles in household (23.9% compared to 21.9%, a difference of 9.2%), and no vehicles in household (8.2% compared to 8.8%, a difference of 7.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.9% compared to 91.3%, a difference of 0.61%), 2 or more vehicles in household (60.1% compared to 58.0%, a difference of 3.7%), and no vehicles in household (8.2% compared to 8.8%, a difference of 7.5%).
Chinese vs Potawatomi Vehicle Availability
Vehicle Availability MetricChinesePotawatomi
No Vehicles Available
Exceptional
8.2%
Exceptional
8.8%
1+ Vehicles Available
Exceptional
91.9%
Exceptional
91.3%
2+ Vehicles Available
Exceptional
60.1%
Exceptional
58.0%
3+ Vehicles Available
Exceptional
23.9%
Exceptional
21.9%
4+ Vehicles Available
Exceptional
8.8%
Exceptional
7.3%

Chinese vs Potawatomi Education Level

When considering education level, the most significant differences between Chinese and Potawatomi communities in the United States are seen in professional degree (4.5% compared to 3.6%, a difference of 25.3%), master's degree (14.6% compared to 12.1%, a difference of 20.8%), and bachelor's degree (38.5% compared to 31.9%, a difference of 20.7%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.3%, a difference of 0.23%), kindergarten (98.5% compared to 98.3%, a difference of 0.23%), and 1st grade (98.5% compared to 98.3%, a difference of 0.23%).
Chinese vs Potawatomi Education Level
Education Level MetricChinesePotawatomi
No Schooling Completed
Exceptional
1.5%
Exceptional
1.7%
Nursery School
Exceptional
98.6%
Exceptional
98.3%
Kindergarten
Exceptional
98.5%
Exceptional
98.3%
1st Grade
Exceptional
98.5%
Exceptional
98.3%
2nd Grade
Exceptional
98.5%
Exceptional
98.2%
3rd Grade
Exceptional
98.4%
Exceptional
98.1%
4th Grade
Exceptional
98.3%
Exceptional
97.9%
5th Grade
Exceptional
98.1%
Exceptional
97.8%
6th Grade
Exceptional
97.9%
Exceptional
97.6%
7th Grade
Exceptional
97.1%
Exceptional
96.7%
8th Grade
Exceptional
96.9%
Exceptional
96.4%
9th Grade
Exceptional
96.3%
Exceptional
95.5%
10th Grade
Exceptional
95.5%
Exceptional
94.3%
11th Grade
Exceptional
94.6%
Good
92.8%
12th Grade, No Diploma
Exceptional
93.6%
Fair
91.0%
High School Diploma
Exceptional
92.0%
Average
89.0%
GED/Equivalency
Exceptional
89.0%
Tragic
84.7%
College, Under 1 year
Exceptional
68.3%
Tragic
61.8%
College, 1 year or more
Exceptional
62.2%
Tragic
54.6%
Associate's Degree
Exceptional
48.5%
Tragic
40.4%
Bachelor's Degree
Good
38.5%
Tragic
31.9%
Master's Degree
Fair
14.6%
Tragic
12.1%
Professional Degree
Average
4.5%
Tragic
3.6%
Doctorate Degree
Fair
1.8%
Tragic
1.6%

Chinese vs Potawatomi Disability

When considering disability, the most significant differences between Chinese and Potawatomi communities in the United States are seen in disability age 35 to 64 (10.3% compared to 14.8%, a difference of 43.3%), disability age 5 to 17 (4.7% compared to 6.5%, a difference of 39.2%), and disability age 18 to 34 (6.3% compared to 8.2%, a difference of 30.0%). Conversely, both communities are more comparable in terms of disability age over 75 (48.7% compared to 49.0%, a difference of 0.64%), self-care disability (2.6% compared to 2.6%, a difference of 2.7%), and hearing disability (3.7% compared to 4.1%, a difference of 11.9%).
Chinese vs Potawatomi Disability
Disability MetricChinesePotawatomi
Disability
Tragic
12.2%
Tragic
14.2%
Males
Tragic
12.1%
Tragic
14.2%
Females
Fair
12.3%
Tragic
14.1%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.4%
Age | 5 to 17 years
Exceptional
4.7%
Tragic
6.5%
Age | 18 to 34 years
Exceptional
6.3%
Tragic
8.2%
Age | 35 to 64 years
Exceptional
10.3%
Tragic
14.8%
Age | 65 to 74 years
Exceptional
21.7%
Tragic
27.0%
Age | Over 75 years
Tragic
48.7%
Tragic
49.0%
Vision
Exceptional
2.0%
Tragic
2.6%
Hearing
Tragic
3.7%
Tragic
4.1%
Cognitive
Exceptional
15.9%
Tragic
18.0%
Ambulatory
Tragic
6.5%
Tragic
7.3%
Self-Care
Tragic
2.6%
Tragic
2.6%