Dutch vs Chinese Community Comparison

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

Social Comparison

Dutch

Chinese

Good
Exceptional
6,444
SOCIAL INDEX
61.9/ 100
SOCIAL RATING
155th/ 347
SOCIAL RANK
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK

Chinese Integration in Dutch Communities

The statistical analysis conducted on geographies consisting of 64,623,365 people shows a slight positive correlation between the proportion of Chinese within Dutch communities in the United States with a correlation coefficient (R) of 0.052. On average, for every 1% (one percent) increase in Dutch within a typical geography, there is an increase of 0.002% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Dutch corresponds to an increase of 2.0 Chinese.
Dutch Integration in Chinese Communities

Dutch vs Chinese Income

When considering income, the most significant differences between Dutch and Chinese communities in the United States are seen in householder income over 65 years ($59,539 compared to $77,465, a difference of 30.1%), median household income ($82,971 compared to $98,496, a difference of 18.7%), and householder income ages 45 - 64 years ($99,650 compared to $116,156, a difference of 16.6%). Conversely, both communities are more comparable in terms of median male earnings ($54,410 compared to $56,872, a difference of 4.5%), median earnings ($45,370 compared to $48,836, a difference of 7.6%), and per capita income ($42,605 compared to $46,098, a difference of 8.2%).
Dutch vs Chinese Income
Income MetricDutchChinese
Per Capita Income
Fair
$42,605
Exceptional
$46,098
Median Family Income
Fair
$101,192
Exceptional
$116,188
Median Household Income
Fair
$82,971
Exceptional
$98,496
Median Earnings
Poor
$45,370
Exceptional
$48,836
Median Male Earnings
Average
$54,410
Exceptional
$56,872
Median Female Earnings
Tragic
$37,339
Exceptional
$41,461
Householder Age | Under 25 years
Tragic
$51,265
Exceptional
$58,162
Householder Age | 25 - 44 years
Fair
$93,081
Exceptional
$104,264
Householder Age | 45 - 64 years
Average
$99,650
Exceptional
$116,156
Householder Age | Over 65 years
Poor
$59,539
Exceptional
$77,465
Wage/Income Gap
Tragic
29.6%
Average
25.9%

Dutch vs Chinese Poverty

When considering poverty, the most significant differences between Dutch and Chinese communities in the United States are seen in single female poverty (22.0% compared to 16.1%, a difference of 36.3%), single male poverty (14.1% compared to 11.0%, a difference of 28.2%), and child poverty under the age of 5 (16.7% compared to 13.1%, a difference of 27.8%). Conversely, both communities are more comparable in terms of receiving food stamps (10.0% compared to 9.8%, a difference of 2.4%), seniors poverty over the age of 65 (9.1% compared to 8.3%, a difference of 9.6%), and married-couple family poverty (4.2% compared to 3.6%, a difference of 15.1%).
Dutch vs Chinese Poverty
Poverty MetricDutchChinese
Poverty
Exceptional
11.3%
Exceptional
9.5%
Families
Exceptional
7.8%
Exceptional
6.5%
Males
Exceptional
10.2%
Exceptional
8.7%
Females
Exceptional
12.4%
Exceptional
10.4%
Females 18 to 24 years
Poor
20.5%
Exceptional
16.2%
Females 25 to 34 years
Fair
13.8%
Exceptional
11.0%
Children Under 5 years
Good
16.7%
Exceptional
13.1%
Children Under 16 years
Exceptional
14.8%
Exceptional
11.9%
Boys Under 16 years
Exceptional
15.0%
Exceptional
11.9%
Girls Under 16 years
Exceptional
15.1%
Exceptional
12.3%
Single Males
Tragic
14.1%
Exceptional
11.0%
Single Females
Tragic
22.0%
Exceptional
16.1%
Single Fathers
Tragic
17.8%
Exceptional
15.4%
Single Mothers
Tragic
30.2%
Exceptional
24.6%
Married Couples
Exceptional
4.2%
Exceptional
3.6%
Seniors Over 65 years
Exceptional
9.1%
Exceptional
8.3%
Seniors Over 75 years
Exceptional
10.5%
Exceptional
9.1%
Receiving Food Stamps
Exceptional
10.0%
Exceptional
9.8%

Dutch vs Chinese Unemployment

When considering unemployment, the most significant differences between Dutch and Chinese communities in the United States are seen in unemployment among seniors over 75 years (10.4% compared to 5.9%, a difference of 76.5%), unemployment among seniors over 65 years (5.1% compared to 4.2%, a difference of 20.7%), and unemployment among ages 65 to 74 years (5.3% compared to 4.4%, a difference of 19.7%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (15.9% compared to 16.0%, a difference of 0.70%), unemployment among women with children under 18 years (5.0% compared to 4.9%, a difference of 0.79%), and unemployment among youth under 25 years (10.6% compared to 10.7%, a difference of 1.0%).
Dutch vs Chinese Unemployment
Unemployment MetricDutchChinese
Unemployment
Exceptional
4.6%
Exceptional
4.7%
Males
Exceptional
4.8%
Exceptional
4.9%
Females
Exceptional
4.6%
Exceptional
4.5%
Youth < 25
Exceptional
10.6%
Exceptional
10.7%
Age | 16 to 19 years
Exceptional
15.9%
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
Average
5.5%
Exceptional
5.1%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.0%
Age | 55 to 59 years
Exceptional
4.6%
Exceptional
4.4%
Age | 60 to 64 years
Exceptional
4.6%
Exceptional
4.0%
Age | 65 to 74 years
Good
5.3%
Exceptional
4.4%
Seniors > 65
Excellent
5.1%
Exceptional
4.2%
Seniors > 75
Tragic
10.4%
Exceptional
5.9%
Women w/ Children < 6
Tragic
8.1%
Exceptional
6.8%
Women w/ Children 6 to 17
Tragic
9.4%
Tragic
9.3%
Women w/ Children < 18
Exceptional
5.0%
Exceptional
4.9%

Dutch vs Chinese Labor Participation

When considering labor participation, the most significant differences between Dutch 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 13.6%), in labor force | age 20-64 (79.3% compared to 80.7%, a difference of 1.7%), and in labor force | age 45-54 (82.8% compared to 84.1%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.5% compared to 85.0%, a difference of 0.62%), in labor force | age 25-29 (84.9% compared to 84.3%, a difference of 0.68%), and in labor force | age > 16 (64.2% compared to 64.7%, a difference of 0.73%).
Dutch vs Chinese Labor Participation
Labor Participation MetricDutchChinese
In Labor Force | Age > 16
Tragic
64.2%
Tragic
64.7%
In Labor Force | Age 20-64
Fair
79.3%
Exceptional
80.7%
In Labor Force | Age 16-19
Exceptional
43.8%
Exceptional
38.6%
In Labor Force | Age 20-24
Exceptional
78.4%
Exceptional
77.3%
In Labor Force | Age 25-29
Excellent
84.9%
Poor
84.3%
In Labor Force | Age 30-34
Fair
84.5%
Excellent
85.0%
In Labor Force | Age 35-44
Fair
84.3%
Exceptional
85.1%
In Labor Force | Age 45-54
Good
82.8%
Exceptional
84.1%

Dutch vs Chinese Family Structure

When considering family structure, the most significant differences between Dutch and Chinese communities in the United States are seen in single father households (2.4% compared to 2.0%, a difference of 22.4%), single mother households (5.8% compared to 5.2%, a difference of 12.3%), and divorced or separated (12.4% compared to 11.2%, a difference of 11.0%). Conversely, both communities are more comparable in terms of currently married (49.6% compared to 49.5%, a difference of 0.18%), married-couple households (49.5% compared to 50.4%, a difference of 1.8%), and births to unmarried women (31.5% compared to 30.2%, a difference of 4.2%).
Dutch vs Chinese Family Structure
Family Structure MetricDutchChinese
Family Households
Exceptional
64.9%
Exceptional
68.1%
Family Households with Children
Fair
27.4%
Tragic
26.0%
Married-couple Households
Exceptional
49.5%
Exceptional
50.4%
Average Family Size
Tragic
3.11
Exceptional
3.34
Single Father Households
Poor
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
12.4%
Exceptional
11.2%
Births to Unmarried Women
Average
31.5%
Excellent
30.2%

Dutch vs Chinese Vehicle Availability

When considering vehicle availability, the most significant differences between Dutch and Chinese communities in the United States are seen in no vehicles in household (6.8% compared to 8.2%, a difference of 20.1%), 4 or more vehicles in household (7.7% compared to 8.8%, a difference of 15.5%), and 3 or more vehicles in household (22.9% compared to 23.9%, a difference of 4.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.3% compared to 91.9%, a difference of 1.6%), 2 or more vehicles in household (61.6% compared to 60.1%, a difference of 2.6%), and 3 or more vehicles in household (22.9% compared to 23.9%, a difference of 4.1%).
Dutch vs Chinese Vehicle Availability
Vehicle Availability MetricDutchChinese
No Vehicles Available
Exceptional
6.8%
Exceptional
8.2%
1+ Vehicles Available
Exceptional
93.3%
Exceptional
91.9%
2+ Vehicles Available
Exceptional
61.6%
Exceptional
60.1%
3+ Vehicles Available
Exceptional
22.9%
Exceptional
23.9%
4+ Vehicles Available
Exceptional
7.7%
Exceptional
8.8%

Dutch vs Chinese Education Level

When considering education level, the most significant differences between Dutch and Chinese communities in the United States are seen in professional degree (4.0% compared to 4.5%, a difference of 10.6%), associate's degree (45.0% compared to 48.5%, a difference of 7.8%), and bachelor's degree (35.7% compared to 38.5%, a difference of 7.7%). Conversely, both communities are more comparable in terms of 10th grade (95.5% compared to 95.5%, a difference of 0.010%), nursery school (98.7% compared to 98.6%, a difference of 0.090%), and kindergarten (98.6% compared to 98.5%, a difference of 0.090%).
Dutch vs Chinese Education Level
Education Level MetricDutchChinese
No Schooling Completed
Exceptional
1.4%
Exceptional
1.5%
Nursery School
Exceptional
98.7%
Exceptional
98.6%
Kindergarten
Exceptional
98.6%
Exceptional
98.5%
1st Grade
Exceptional
98.6%
Exceptional
98.5%
2nd Grade
Exceptional
98.6%
Exceptional
98.5%
3rd Grade
Exceptional
98.5%
Exceptional
98.4%
4th Grade
Exceptional
98.4%
Exceptional
98.3%
5th Grade
Exceptional
98.3%
Exceptional
98.1%
6th Grade
Exceptional
98.4%
Exceptional
97.9%
7th Grade
Exceptional
97.9%
Exceptional
97.1%
8th Grade
Exceptional
97.7%
Exceptional
96.9%
9th Grade
Exceptional
96.5%
Exceptional
96.3%
10th Grade
Exceptional
95.5%
Exceptional
95.5%
11th Grade
Exceptional
94.3%
Exceptional
94.6%
12th Grade, No Diploma
Exceptional
92.9%
Exceptional
93.6%
High School Diploma
Exceptional
91.3%
Exceptional
92.0%
GED/Equivalency
Exceptional
87.5%
Exceptional
89.0%
College, Under 1 year
Average
65.3%
Exceptional
68.3%
College, 1 year or more
Fair
58.6%
Exceptional
62.2%
Associate's Degree
Poor
45.0%
Exceptional
48.5%
Bachelor's Degree
Tragic
35.7%
Good
38.5%
Master's Degree
Tragic
13.8%
Fair
14.6%
Professional Degree
Tragic
4.0%
Average
4.5%
Doctorate Degree
Fair
1.8%
Fair
1.8%

Dutch vs Chinese Disability

When considering disability, the most significant differences between Dutch and Chinese communities in the United States are seen in disability age under 5 (1.7% compared to 1.1%, a difference of 47.4%), disability age 5 to 17 (6.0% compared to 4.7%, a difference of 28.8%), and disability age 18 to 34 (7.7% compared to 6.3%, a difference of 22.0%). Conversely, both communities are more comparable in terms of ambulatory disability (6.4% compared to 6.5%, a difference of 0.81%), hearing disability (3.7% compared to 3.7%, a difference of 1.7%), and female disability (12.9% compared to 12.3%, a difference of 4.7%).
Dutch vs Chinese Disability
Disability MetricDutchChinese
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
6.0%
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
46.5%
Tragic
48.7%
Vision
Poor
2.2%
Exceptional
2.0%
Hearing
Tragic
3.7%
Tragic
3.7%
Cognitive
Exceptional
16.8%
Exceptional
15.9%
Ambulatory
Tragic
6.4%
Tragic
6.5%
Self-Care
Good
2.4%
Tragic
2.6%