Chinese vs Celtic Community Comparison

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Chinese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta 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
Celtic
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

Celtics

Exceptional
Average
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK
5,342
SOCIAL INDEX
50.9/ 100
SOCIAL RATING
179th/ 347
SOCIAL RANK

Celtic Integration in Chinese Communities

The statistical analysis conducted on geographies consisting of 45,898,170 people shows a poor negative correlation between the proportion of Celtics within Chinese communities in the United States with a correlation coefficient (R) of -0.185. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is a decrease of 0.024% in Celtics. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to a decrease of 23.9 Celtics.
Chinese Integration in Celtic Communities

Chinese vs Celtic Income

When considering income, the most significant differences between Chinese and Celtic communities in the United States are seen in householder income over 65 years ($77,465 compared to $60,608, a difference of 27.8%), median household income ($98,496 compared to $83,193, a difference of 18.4%), and householder income ages 45 - 64 years ($116,156 compared to $98,896, a difference of 17.4%). Conversely, both communities are more comparable in terms of median male earnings ($56,872 compared to $54,242, a difference of 4.9%), wage/income gap (25.9% compared to 27.3%, a difference of 5.2%), and per capita income ($46,098 compared to $43,621, a difference of 5.7%).
Chinese vs Celtic Income
Income MetricChineseCeltic
Per Capita Income
Exceptional
$46,098
Average
$43,621
Median Family Income
Exceptional
$116,188
Fair
$101,139
Median Household Income
Exceptional
$98,496
Fair
$83,193
Median Earnings
Exceptional
$48,836
Fair
$45,732
Median Male Earnings
Exceptional
$56,872
Average
$54,242
Median Female Earnings
Exceptional
$41,461
Tragic
$38,283
Householder Age | Under 25 years
Exceptional
$58,162
Tragic
$50,447
Householder Age | 25 - 44 years
Exceptional
$104,264
Fair
$92,241
Householder Age | 45 - 64 years
Exceptional
$116,156
Fair
$98,896
Householder Age | Over 65 years
Exceptional
$77,465
Average
$60,608
Wage/Income Gap
Average
25.9%
Tragic
27.3%

Chinese vs Celtic Poverty

When considering poverty, the most significant differences between Chinese and Celtic communities in the United States are seen in single female poverty (16.1% compared to 22.7%, a difference of 40.8%), child poverty among boys under 16 (11.9% compared to 16.6%, a difference of 40.0%), and child poverty under the age of 16 (11.9% compared to 16.4%, a difference of 37.8%). Conversely, both communities are more comparable in terms of receiving food stamps (9.8% compared to 10.9%, a difference of 11.8%), seniors poverty over the age of 65 (8.3% compared to 9.8%, a difference of 17.8%), and single father poverty (15.4% compared to 18.5%, a difference of 20.0%).
Chinese vs Celtic Poverty
Poverty MetricChineseCeltic
Poverty
Exceptional
9.5%
Average
12.3%
Families
Exceptional
6.5%
Good
8.8%
Males
Exceptional
8.7%
Average
11.2%
Females
Exceptional
10.4%
Average
13.4%
Females 18 to 24 years
Exceptional
16.2%
Tragic
21.6%
Females 25 to 34 years
Exceptional
11.0%
Tragic
14.5%
Children Under 5 years
Exceptional
13.1%
Poor
17.9%
Children Under 16 years
Exceptional
11.9%
Fair
16.4%
Boys Under 16 years
Exceptional
11.9%
Average
16.6%
Girls Under 16 years
Exceptional
12.3%
Fair
17.0%
Single Males
Exceptional
11.0%
Tragic
14.5%
Single Females
Exceptional
16.1%
Tragic
22.7%
Single Fathers
Exceptional
15.4%
Tragic
18.5%
Single Mothers
Exceptional
24.6%
Tragic
30.9%
Married Couples
Exceptional
3.6%
Exceptional
4.8%
Seniors Over 65 years
Exceptional
8.3%
Exceptional
9.8%
Seniors Over 75 years
Exceptional
9.1%
Exceptional
11.0%
Receiving Food Stamps
Exceptional
9.8%
Excellent
10.9%

Chinese vs Celtic Unemployment

When considering unemployment, the most significant differences between Chinese and Celtic communities in the United States are seen in unemployment among seniors over 75 years (5.9% compared to 9.3%, a difference of 57.5%), unemployment among ages 60 to 64 years (4.0% compared to 5.1%, a difference of 27.1%), and unemployment among women with children under 6 years (6.8% compared to 8.3%, a difference of 22.0%). Conversely, both communities are more comparable in terms of male unemployment (4.9% compared to 5.0%, a difference of 1.7%), unemployment among women with children ages 6 to 17 years (9.3% compared to 9.5%, a difference of 2.1%), and unemployment (4.7% compared to 4.9%, a difference of 4.9%).
Chinese vs Celtic Unemployment
Unemployment MetricChineseCeltic
Unemployment
Exceptional
4.7%
Exceptional
4.9%
Males
Exceptional
4.9%
Exceptional
5.0%
Females
Exceptional
4.5%
Exceptional
4.9%
Youth < 25
Exceptional
10.7%
Exceptional
11.3%
Age | 16 to 19 years
Exceptional
16.0%
Average
17.6%
Age | 20 to 24 years
Exceptional
9.4%
Exceptional
9.9%
Age | 25 to 29 years
Exceptional
6.1%
Tragic
6.9%
Age | 30 to 34 years
Exceptional
5.1%
Good
5.4%
Age | 35 to 44 years
Exceptional
4.3%
Good
4.7%
Age | 45 to 54 years
Exceptional
4.0%
Excellent
4.4%
Age | 55 to 59 years
Exceptional
4.4%
Exceptional
4.7%
Age | 60 to 64 years
Exceptional
4.0%
Tragic
5.1%
Age | 65 to 74 years
Exceptional
4.4%
Excellent
5.3%
Seniors > 65
Exceptional
4.2%
Exceptional
5.0%
Seniors > 75
Exceptional
5.9%
Tragic
9.3%
Women w/ Children < 6
Exceptional
6.8%
Tragic
8.3%
Women w/ Children 6 to 17
Tragic
9.3%
Tragic
9.5%
Women w/ Children < 18
Exceptional
4.9%
Good
5.4%

Chinese vs Celtic Labor Participation

When considering labor participation, the most significant differences between Chinese and Celtic communities in the United States are seen in in labor force | age 16-19 (38.6% compared to 41.3%, a difference of 7.0%), in labor force | age 45-54 (84.1% compared to 81.8%, a difference of 2.9%), and in labor force | age 20-64 (80.7% compared to 78.7%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.3% compared to 77.1%, a difference of 0.21%), in labor force | age 25-29 (84.3% compared to 84.7%, a difference of 0.37%), and in labor force | age 30-34 (85.0% compared to 84.1%, a difference of 1.1%).
Chinese vs Celtic Labor Participation
Labor Participation MetricChineseCeltic
In Labor Force | Age > 16
Tragic
64.7%
Tragic
63.8%
In Labor Force | Age 20-64
Exceptional
80.7%
Tragic
78.7%
In Labor Force | Age 16-19
Exceptional
38.6%
Exceptional
41.3%
In Labor Force | Age 20-24
Exceptional
77.3%
Exceptional
77.1%
In Labor Force | Age 25-29
Poor
84.3%
Average
84.7%
In Labor Force | Age 30-34
Excellent
85.0%
Tragic
84.1%
In Labor Force | Age 35-44
Exceptional
85.1%
Tragic
83.8%
In Labor Force | Age 45-54
Exceptional
84.1%
Tragic
81.8%

Chinese vs Celtic Family Structure

When considering family structure, the most significant differences between Chinese and Celtic communities in the United States are seen in single mother households (5.2% compared to 6.1%, a difference of 18.9%), single father households (2.0% compared to 2.3%, a difference of 18.1%), and divorced or separated (11.2% compared to 13.0%, a difference of 15.8%). Conversely, both communities are more comparable in terms of family households with children (26.0% compared to 26.6%, a difference of 2.4%), currently married (49.5% compared to 47.8%, a difference of 3.5%), and married-couple households (50.4% compared to 47.3%, a difference of 6.4%).
Chinese vs Celtic Family Structure
Family Structure MetricChineseCeltic
Family Households
Exceptional
68.1%
Tragic
63.8%
Family Households with Children
Tragic
26.0%
Tragic
26.6%
Married-couple Households
Exceptional
50.4%
Excellent
47.3%
Average Family Size
Exceptional
3.34
Tragic
3.11
Single Father Households
Exceptional
2.0%
Average
2.3%
Single Mother Households
Exceptional
5.2%
Good
6.1%
Currently Married
Exceptional
49.5%
Exceptional
47.8%
Divorced or Separated
Exceptional
11.2%
Tragic
13.0%
Births to Unmarried Women
Excellent
30.2%
Poor
33.3%

Chinese vs Celtic Vehicle Availability

When considering vehicle availability, the most significant differences between Chinese and Celtic communities in the United States are seen in 4 or more vehicles in household (8.8% compared to 7.1%, a difference of 24.9%), 3 or more vehicles in household (23.9% compared to 21.7%, a difference of 10.2%), and no vehicles in household (8.2% compared to 8.1%, a difference of 1.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.9% compared to 92.1%, a difference of 0.26%), 2 or more vehicles in household (60.1% compared to 59.2%, a difference of 1.6%), and no vehicles in household (8.2% compared to 8.1%, a difference of 1.8%).
Chinese vs Celtic Vehicle Availability
Vehicle Availability MetricChineseCeltic
No Vehicles Available
Exceptional
8.2%
Exceptional
8.1%
1+ Vehicles Available
Exceptional
91.9%
Exceptional
92.1%
2+ Vehicles Available
Exceptional
60.1%
Exceptional
59.2%
3+ Vehicles Available
Exceptional
23.9%
Exceptional
21.7%
4+ Vehicles Available
Exceptional
8.8%
Exceptional
7.1%

Chinese vs Celtic Education Level

When considering education level, the most significant differences between Chinese and Celtic communities in the United States are seen in no schooling completed (1.5% compared to 1.6%, a difference of 10.8%), doctorate degree (1.8% compared to 1.9%, a difference of 6.8%), and associate's degree (48.5% compared to 45.8%, a difference of 6.1%). Conversely, both communities are more comparable in terms of 7th grade (97.1% compared to 97.1%, a difference of 0.080%), 1st grade (98.5% compared to 98.4%, a difference of 0.11%), and nursery school (98.6% compared to 98.5%, a difference of 0.12%).
Chinese vs Celtic Education Level
Education Level MetricChineseCeltic
No Schooling Completed
Exceptional
1.5%
Exceptional
1.6%
Nursery School
Exceptional
98.6%
Exceptional
98.5%
Kindergarten
Exceptional
98.5%
Exceptional
98.4%
1st Grade
Exceptional
98.5%
Exceptional
98.4%
2nd Grade
Exceptional
98.5%
Exceptional
98.4%
3rd Grade
Exceptional
98.4%
Exceptional
98.3%
4th Grade
Exceptional
98.3%
Exceptional
98.1%
5th Grade
Exceptional
98.1%
Exceptional
98.0%
6th Grade
Exceptional
97.9%
Exceptional
97.8%
7th Grade
Exceptional
97.1%
Exceptional
97.1%
8th Grade
Exceptional
96.9%
Exceptional
96.8%
9th Grade
Exceptional
96.3%
Exceptional
96.0%
10th Grade
Exceptional
95.5%
Exceptional
95.0%
11th Grade
Exceptional
94.6%
Exceptional
93.7%
12th Grade, No Diploma
Exceptional
93.6%
Exceptional
92.3%
High School Diploma
Exceptional
92.0%
Exceptional
90.6%
GED/Equivalency
Exceptional
89.0%
Exceptional
86.7%
College, Under 1 year
Exceptional
68.3%
Good
65.9%
College, 1 year or more
Exceptional
62.2%
Average
59.4%
Associate's Degree
Exceptional
48.5%
Fair
45.8%
Bachelor's Degree
Good
38.5%
Fair
37.0%
Master's Degree
Fair
14.6%
Average
14.8%
Professional Degree
Average
4.5%
Average
4.4%
Doctorate Degree
Fair
1.8%
Good
1.9%

Chinese vs Celtic Disability

When considering disability, the most significant differences between Chinese and Celtic communities in the United States are seen in disability age under 5 (1.1% compared to 1.7%, a difference of 46.8%), disability age 5 to 17 (4.7% compared to 6.3%, a difference of 33.9%), and disability age 35 to 64 (10.3% compared to 12.9%, a difference of 24.8%). Conversely, both communities are more comparable in terms of self-care disability (2.6% compared to 2.6%, a difference of 0.49%), hearing disability (3.7% compared to 3.7%, a difference of 1.2%), and disability age over 75 (48.7% compared to 47.2%, a difference of 3.1%).
Chinese vs Celtic Disability
Disability MetricChineseCeltic
Disability
Tragic
12.2%
Tragic
13.1%
Males
Tragic
12.1%
Tragic
13.0%
Females
Fair
12.3%
Tragic
13.3%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.7%
Age | 5 to 17 years
Exceptional
4.7%
Tragic
6.3%
Age | 18 to 34 years
Exceptional
6.3%
Tragic
7.6%
Age | 35 to 64 years
Exceptional
10.3%
Tragic
12.9%
Age | 65 to 74 years
Exceptional
21.7%
Tragic
24.2%
Age | Over 75 years
Tragic
48.7%
Average
47.2%
Vision
Exceptional
2.0%
Tragic
2.4%
Hearing
Tragic
3.7%
Tragic
3.7%
Cognitive
Exceptional
15.9%
Good
17.1%
Ambulatory
Tragic
6.5%
Tragic
6.7%
Self-Care
Tragic
2.6%
Tragic
2.6%