German vs Chinese Community Comparison

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German
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 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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Germans

Chinese

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

Chinese Integration in German Communities

The statistical analysis conducted on geographies consisting of 64,804,920 people shows a mild positive correlation between the proportion of Chinese within German communities in the United States with a correlation coefficient (R) of 0.338. On average, for every 1% (one percent) increase in Germans within a typical geography, there is an increase of 0.005% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Germans corresponds to an increase of 5.1 Chinese.
German Integration in Chinese Communities

German vs Chinese Income

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

German vs Chinese Poverty

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

German vs Chinese Unemployment

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

German vs Chinese Labor Participation

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

German vs Chinese Family Structure

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

German vs Chinese Vehicle Availability

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

German vs Chinese Education Level

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

German vs Chinese Disability

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