Chinese vs German 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 CanadianGerman 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
German
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

Germans

Exceptional
Good
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK
6,819
SOCIAL INDEX
65.7/ 100
SOCIAL RATING
140th/ 347
SOCIAL RANK

German Integration in Chinese Communities

The statistical analysis conducted on geographies consisting of 64,805,124 people shows no correlation between the proportion of Germans within Chinese communities in the United States with a correlation coefficient (R) of 0.044. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 0.189% in Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to an increase of 189.4 Germans.
Chinese Integration in German Communities

Chinese vs German Income

When considering income, the most significant differences between Chinese and German communities in the United States are seen in householder income over 65 years ($77,465 compared to $59,730, a difference of 29.7%), median household income ($98,496 compared to $83,358, a difference of 18.2%), and householder income ages 45 - 64 years ($116,156 compared to $100,224, a difference of 15.9%). Conversely, both communities are more comparable in terms of median male earnings ($56,872 compared to $54,974, a difference of 3.5%), median earnings ($48,836 compared to $45,935, a difference of 6.3%), and per capita income ($46,098 compared to $43,067, a difference of 7.0%).
Chinese vs German Income
Income MetricChineseGerman
Per Capita Income
Exceptional
$46,098
Fair
$43,067
Median Family Income
Exceptional
$116,188
Average
$102,254
Median Household Income
Exceptional
$98,496
Fair
$83,358
Median Earnings
Exceptional
$48,836
Fair
$45,935
Median Male Earnings
Exceptional
$56,872
Good
$54,974
Median Female Earnings
Exceptional
$41,461
Tragic
$37,986
Householder Age | Under 25 years
Exceptional
$58,162
Tragic
$50,804
Householder Age | 25 - 44 years
Exceptional
$104,264
Fair
$93,531
Householder Age | 45 - 64 years
Exceptional
$116,156
Average
$100,224
Householder Age | Over 65 years
Exceptional
$77,465
Fair
$59,730
Wage/Income Gap
Average
25.9%
Tragic
29.2%

Chinese vs German Poverty

When considering poverty, the most significant differences between Chinese and German communities in the United States are seen in single female poverty (16.1% compared to 21.8%, a difference of 35.0%), single male poverty (11.0% compared to 13.9%, a difference of 26.9%), and female poverty among 18-24 year olds (16.2% compared to 20.4%, a difference of 26.5%). Conversely, both communities are more comparable in terms of receiving food stamps (9.8% compared to 9.7%, a difference of 0.25%), seniors poverty over the age of 65 (8.3% compared to 9.0%, a difference of 7.4%), and married-couple family poverty (3.6% compared to 4.0%, a difference of 10.7%).
Chinese vs German Poverty
Poverty MetricChineseGerman
Poverty
Exceptional
9.5%
Exceptional
11.1%
Families
Exceptional
6.5%
Exceptional
7.7%
Males
Exceptional
8.7%
Exceptional
10.1%
Females
Exceptional
10.4%
Exceptional
12.2%
Females 18 to 24 years
Exceptional
16.2%
Fair
20.4%
Females 25 to 34 years
Exceptional
11.0%
Average
13.6%
Children Under 5 years
Exceptional
13.1%
Excellent
16.5%
Children Under 16 years
Exceptional
11.9%
Exceptional
14.5%
Boys Under 16 years
Exceptional
11.9%
Exceptional
14.8%
Girls Under 16 years
Exceptional
12.3%
Exceptional
14.9%
Single Males
Exceptional
11.0%
Tragic
13.9%
Single Females
Exceptional
16.1%
Tragic
21.8%
Single Fathers
Exceptional
15.4%
Tragic
17.7%
Single Mothers
Exceptional
24.6%
Tragic
30.0%
Married Couples
Exceptional
3.6%
Exceptional
4.0%
Seniors Over 65 years
Exceptional
8.3%
Exceptional
9.0%
Seniors Over 75 years
Exceptional
9.1%
Exceptional
10.4%
Receiving Food Stamps
Exceptional
9.8%
Exceptional
9.7%

Chinese vs German Unemployment

When considering unemployment, the most significant differences between Chinese and German communities in the United States are seen in unemployment among seniors over 75 years (5.9% compared to 10.3%, a difference of 73.5%), unemployment among women with children under 6 years (6.8% compared to 8.0%, a difference of 17.3%), and unemployment among seniors over 65 years (4.2% compared to 4.9%, a difference of 15.9%). Conversely, both communities are more comparable in terms of female unemployment (4.5% compared to 4.5%, a difference of 0.020%), unemployment among women with children ages 6 to 17 years (9.3% compared to 9.2%, a difference of 0.36%), and unemployment among ages 35 to 44 years (4.3% compared to 4.3%, a difference of 0.73%).
Chinese vs German Unemployment
Unemployment MetricChineseGerman
Unemployment
Exceptional
4.7%
Exceptional
4.5%
Males
Exceptional
4.9%
Exceptional
4.7%
Females
Exceptional
4.5%
Exceptional
4.5%
Youth < 25
Exceptional
10.7%
Exceptional
10.5%
Age | 16 to 19 years
Exceptional
16.0%
Exceptional
15.7%
Age | 20 to 24 years
Exceptional
9.4%
Exceptional
9.6%
Age | 25 to 29 years
Exceptional
6.1%
Excellent
6.5%
Age | 30 to 34 years
Exceptional
5.1%
Good
5.3%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.0%
Exceptional
4.1%
Age | 55 to 59 years
Exceptional
4.4%
Exceptional
4.5%
Age | 60 to 64 years
Exceptional
4.0%
Exceptional
4.5%
Age | 65 to 74 years
Exceptional
4.4%
Exceptional
5.1%
Seniors > 65
Exceptional
4.2%
Exceptional
4.9%
Seniors > 75
Exceptional
5.9%
Tragic
10.3%
Women w/ Children < 6
Exceptional
6.8%
Tragic
8.0%
Women w/ Children 6 to 17
Tragic
9.3%
Tragic
9.2%
Women w/ Children < 18
Exceptional
4.9%
Exceptional
4.9%

Chinese vs German Labor Participation

When considering labor participation, the most significant differences between Chinese and German communities in the United States are seen in in labor force | age 16-19 (38.6% compared to 44.2%, a difference of 14.4%), in labor force | age 20-24 (77.3% compared to 78.6%, a difference of 1.7%), and in labor force | age 45-54 (84.1% compared to 83.1%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.0% compared to 84.8%, a difference of 0.19%), in labor force | age > 16 (64.7% compared to 64.4%, a difference of 0.41%), and in labor force | age 35-44 (85.1% compared to 84.7%, a difference of 0.46%).
Chinese vs German Labor Participation
Labor Participation MetricChineseGerman
In Labor Force | Age > 16
Tragic
64.7%
Tragic
64.4%
In Labor Force | Age 20-64
Exceptional
80.7%
Good
79.7%
In Labor Force | Age 16-19
Exceptional
38.6%
Exceptional
44.2%
In Labor Force | Age 20-24
Exceptional
77.3%
Exceptional
78.6%
In Labor Force | Age 25-29
Poor
84.3%
Exceptional
85.3%
In Labor Force | Age 30-34
Excellent
85.0%
Good
84.8%
In Labor Force | Age 35-44
Exceptional
85.1%
Exceptional
84.7%
In Labor Force | Age 45-54
Exceptional
84.1%
Excellent
83.1%

Chinese vs German Family Structure

When considering family structure, the most significant differences between Chinese and German communities in the United States are seen in single father households (2.0% compared to 2.4%, a difference of 20.6%), divorced or separated (11.2% compared to 12.5%, a difference of 11.5%), and single mother households (5.2% compared to 5.8%, a difference of 11.5%). Conversely, both communities are more comparable in terms of currently married (49.5% compared to 49.6%, a difference of 0.17%), married-couple households (50.4% compared to 49.2%, a difference of 2.4%), and family households with children (26.0% compared to 27.1%, a difference of 4.2%).
Chinese vs German Family Structure
Family Structure MetricChineseGerman
Family Households
Exceptional
68.1%
Good
64.4%
Family Households with Children
Tragic
26.0%
Tragic
27.1%
Married-couple Households
Exceptional
50.4%
Exceptional
49.2%
Average Family Size
Exceptional
3.34
Tragic
3.09
Single Father Households
Exceptional
2.0%
Fair
2.4%
Single Mother Households
Exceptional
5.2%
Exceptional
5.8%
Currently Married
Exceptional
49.5%
Exceptional
49.6%
Divorced or Separated
Exceptional
11.2%
Tragic
12.5%
Births to Unmarried Women
Excellent
30.2%
Fair
32.0%

Chinese vs German Vehicle Availability

When considering vehicle availability, the most significant differences between Chinese and German communities in the United States are seen in no vehicles in household (8.2% compared to 6.7%, a difference of 23.2%), 4 or more vehicles in household (8.8% compared to 7.5%, a difference of 18.8%), and 3 or more vehicles in household (23.9% compared to 22.7%, a difference of 5.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.9% compared to 93.6%, a difference of 1.9%), 2 or more vehicles in household (60.1% compared to 61.6%, a difference of 2.5%), and 3 or more vehicles in household (23.9% compared to 22.7%, a difference of 5.0%).
Chinese vs German Vehicle Availability
Vehicle Availability MetricChineseGerman
No Vehicles Available
Exceptional
8.2%
Exceptional
6.7%
1+ Vehicles Available
Exceptional
91.9%
Exceptional
93.6%
2+ Vehicles Available
Exceptional
60.1%
Exceptional
61.6%
3+ Vehicles Available
Exceptional
23.9%
Exceptional
22.7%
4+ Vehicles Available
Exceptional
8.8%
Exceptional
7.5%

Chinese vs German Education Level

When considering education level, the most significant differences between Chinese and German communities in the United States are seen in professional degree (4.5% compared to 4.1%, a difference of 9.3%), no schooling completed (1.5% compared to 1.4%, a difference of 8.6%), and associate's degree (48.5% compared to 45.5%, a difference of 6.7%). Conversely, both communities are more comparable in terms of 11th grade (94.6% compared to 94.7%, a difference of 0.030%), nursery school (98.6% compared to 98.7%, a difference of 0.16%), and kindergarten (98.5% compared to 98.7%, a difference of 0.17%).
Chinese vs German Education Level
Education Level MetricChineseGerman
No Schooling Completed
Exceptional
1.5%
Exceptional
1.4%
Nursery School
Exceptional
98.6%
Exceptional
98.7%
Kindergarten
Exceptional
98.5%
Exceptional
98.7%
1st Grade
Exceptional
98.5%
Exceptional
98.7%
2nd Grade
Exceptional
98.5%
Exceptional
98.7%
3rd Grade
Exceptional
98.4%
Exceptional
98.6%
4th Grade
Exceptional
98.3%
Exceptional
98.5%
5th Grade
Exceptional
98.1%
Exceptional
98.4%
6th Grade
Exceptional
97.9%
Exceptional
98.2%
7th Grade
Exceptional
97.1%
Exceptional
97.7%
8th Grade
Exceptional
96.9%
Exceptional
97.5%
9th Grade
Exceptional
96.3%
Exceptional
96.7%
10th Grade
Exceptional
95.5%
Exceptional
95.8%
11th Grade
Exceptional
94.6%
Exceptional
94.7%
12th Grade, No Diploma
Exceptional
93.6%
Exceptional
93.3%
High School Diploma
Exceptional
92.0%
Exceptional
91.7%
GED/Equivalency
Exceptional
89.0%
Exceptional
87.9%
College, Under 1 year
Exceptional
68.3%
Average
65.6%
College, 1 year or more
Exceptional
62.2%
Fair
58.9%
Associate's Degree
Exceptional
48.5%
Fair
45.5%
Bachelor's Degree
Good
38.5%
Poor
36.1%
Master's Degree
Fair
14.6%
Poor
14.0%
Professional Degree
Average
4.5%
Poor
4.1%
Doctorate Degree
Fair
1.8%
Fair
1.8%

Chinese vs German Disability

When considering disability, the most significant differences between Chinese and German communities in the United States are seen in disability age under 5 (1.1% compared to 1.7%, a difference of 50.8%), disability age 5 to 17 (4.7% compared to 6.1%, a difference of 30.9%), and disability age 18 to 34 (6.3% compared to 7.7%, a difference of 22.3%). Conversely, both communities are more comparable in terms of ambulatory disability (6.5% compared to 6.5%, a difference of 0.48%), hearing disability (3.7% compared to 3.7%, a difference of 1.5%), and cognitive disability (15.9% compared to 16.7%, a difference of 4.6%).
Chinese vs German Disability
Disability MetricChineseGerman
Disability
Tragic
12.2%
Tragic
12.8%
Males
Tragic
12.1%
Tragic
12.7%
Females
Fair
12.3%
Tragic
12.9%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.7%
Age | 5 to 17 years
Exceptional
4.7%
Tragic
6.1%
Age | 18 to 34 years
Exceptional
6.3%
Tragic
7.7%
Age | 35 to 64 years
Exceptional
10.3%
Tragic
12.3%
Age | 65 to 74 years
Exceptional
21.7%
Average
23.3%
Age | Over 75 years
Tragic
48.7%
Exceptional
46.3%
Vision
Exceptional
2.0%
Poor
2.2%
Hearing
Tragic
3.7%
Tragic
3.7%
Cognitive
Exceptional
15.9%
Exceptional
16.7%
Ambulatory
Tragic
6.5%
Tragic
6.5%
Self-Care
Tragic
2.6%
Excellent
2.4%