Pakistani vs Chinese Community Comparison

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Pakistani
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 CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePalestinianPanamanianParaguayanPennsylvania 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

Pakistanis

Chinese

Good
Exceptional
8,084
SOCIAL INDEX
78.3/ 100
SOCIAL RATING
88th/ 347
SOCIAL RANK
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK

Chinese Integration in Pakistani Communities

The statistical analysis conducted on geographies consisting of 61,487,544 people shows a poor positive correlation between the proportion of Chinese within Pakistani communities in the United States with a correlation coefficient (R) of 0.189. On average, for every 1% (one percent) increase in Pakistanis within a typical geography, there is an increase of 0.089% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pakistanis corresponds to an increase of 89.4 Chinese.
Pakistani Integration in Chinese Communities

Pakistani vs Chinese Income

When considering income, the most significant differences between Pakistani and Chinese communities in the United States are seen in householder income over 65 years ($63,844 compared to $77,465, a difference of 21.3%), householder income ages 45 - 64 years ($105,317 compared to $116,156, a difference of 10.3%), and median household income ($89,638 compared to $98,496, a difference of 9.9%). Conversely, both communities are more comparable in terms of median male earnings ($56,719 compared to $56,872, a difference of 0.27%), wage/income gap (26.1% compared to 25.9%, a difference of 0.57%), and per capita income ($45,587 compared to $46,098, a difference of 1.1%).
Pakistani vs Chinese Income
Income MetricPakistaniChinese
Per Capita Income
Excellent
$45,587
Exceptional
$46,098
Median Family Income
Exceptional
$107,390
Exceptional
$116,188
Median Household Income
Exceptional
$89,638
Exceptional
$98,496
Median Earnings
Exceptional
$48,254
Exceptional
$48,836
Median Male Earnings
Excellent
$56,719
Exceptional
$56,872
Median Female Earnings
Excellent
$40,596
Exceptional
$41,461
Householder Age | Under 25 years
Exceptional
$53,325
Exceptional
$58,162
Householder Age | 25 - 44 years
Excellent
$98,401
Exceptional
$104,264
Householder Age | 45 - 64 years
Exceptional
$105,317
Exceptional
$116,156
Householder Age | Over 65 years
Exceptional
$63,844
Exceptional
$77,465
Wage/Income Gap
Fair
26.1%
Average
25.9%

Pakistani vs Chinese Poverty

When considering poverty, the most significant differences between Pakistani and Chinese communities in the United States are seen in seniors poverty over the age of 75 (11.8% compared to 9.1%, a difference of 29.9%), married-couple family poverty (4.7% compared to 3.6%, a difference of 29.7%), and family poverty (8.3% compared to 6.5%, a difference of 28.1%). Conversely, both communities are more comparable in terms of single father poverty (15.7% compared to 15.4%, a difference of 2.2%), receiving food stamps (10.4% compared to 9.8%, a difference of 6.9%), and single male poverty (12.4% compared to 11.0%, a difference of 12.7%).
Pakistani vs Chinese Poverty
Poverty MetricPakistaniChinese
Poverty
Excellent
11.9%
Exceptional
9.5%
Families
Exceptional
8.3%
Exceptional
6.5%
Males
Excellent
10.8%
Exceptional
8.7%
Females
Excellent
12.9%
Exceptional
10.4%
Females 18 to 24 years
Good
19.8%
Exceptional
16.2%
Females 25 to 34 years
Excellent
13.0%
Exceptional
11.0%
Children Under 5 years
Exceptional
16.0%
Exceptional
13.1%
Children Under 16 years
Exceptional
15.0%
Exceptional
11.9%
Boys Under 16 years
Exceptional
15.1%
Exceptional
11.9%
Girls Under 16 years
Exceptional
15.3%
Exceptional
12.3%
Single Males
Exceptional
12.4%
Exceptional
11.0%
Single Females
Exceptional
20.2%
Exceptional
16.1%
Single Fathers
Exceptional
15.7%
Exceptional
15.4%
Single Mothers
Exceptional
28.0%
Exceptional
24.6%
Married Couples
Exceptional
4.7%
Exceptional
3.6%
Seniors Over 65 years
Exceptional
10.3%
Exceptional
8.3%
Seniors Over 75 years
Excellent
11.8%
Exceptional
9.1%
Receiving Food Stamps
Exceptional
10.4%
Exceptional
9.8%

Pakistani vs Chinese Unemployment

When considering unemployment, the most significant differences between Pakistani and Chinese communities in the United States are seen in unemployment among seniors over 75 years (8.9% compared to 5.9%, a difference of 50.1%), unemployment among seniors over 65 years (5.1% compared to 4.2%, a difference of 21.6%), and unemployment among ages 60 to 64 years (4.8% compared to 4.0%, a difference of 20.8%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (9.8% compared to 9.4%, a difference of 4.7%), unemployment among ages 30 to 34 years (5.4% compared to 5.1%, a difference of 4.9%), and unemployment among youth under 25 years (11.3% compared to 10.7%, a difference of 5.3%).
Pakistani vs Chinese Unemployment
Unemployment MetricPakistaniChinese
Unemployment
Excellent
5.1%
Exceptional
4.7%
Males
Excellent
5.2%
Exceptional
4.9%
Females
Excellent
5.1%
Exceptional
4.5%
Youth < 25
Exceptional
11.3%
Exceptional
10.7%
Age | 16 to 19 years
Excellent
17.2%
Exceptional
16.0%
Age | 20 to 24 years
Exceptional
9.8%
Exceptional
9.4%
Age | 25 to 29 years
Excellent
6.5%
Exceptional
6.1%
Age | 30 to 34 years
Good
5.4%
Exceptional
5.1%
Age | 35 to 44 years
Good
4.6%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.4%
Exceptional
4.0%
Age | 55 to 59 years
Excellent
4.7%
Exceptional
4.4%
Age | 60 to 64 years
Good
4.8%
Exceptional
4.0%
Age | 65 to 74 years
Excellent
5.3%
Exceptional
4.4%
Seniors > 65
Good
5.1%
Exceptional
4.2%
Seniors > 75
Fair
8.9%
Exceptional
5.9%
Women w/ Children < 6
Exceptional
7.3%
Exceptional
6.8%
Women w/ Children 6 to 17
Exceptional
8.4%
Tragic
9.3%
Women w/ Children < 18
Excellent
5.2%
Exceptional
4.9%

Pakistani vs Chinese Labor Participation

When considering labor participation, the most significant differences between Pakistani and Chinese communities in the United States are seen in in labor force | age 16-19 (37.6% compared to 38.6%, a difference of 2.8%), in labor force | age 20-24 (75.8% compared to 77.3%, a difference of 1.9%), and in labor force | age > 16 (65.8% compared to 64.7%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.7% compared to 85.0%, a difference of 0.30%), in labor force | age 25-29 (84.8% compared to 84.3%, a difference of 0.51%), and in labor force | age 35-44 (84.4% compared to 85.1%, a difference of 0.85%).
Pakistani vs Chinese Labor Participation
Labor Participation MetricPakistaniChinese
In Labor Force | Age > 16
Exceptional
65.8%
Tragic
64.7%
In Labor Force | Age 20-64
Good
79.8%
Exceptional
80.7%
In Labor Force | Age 16-19
Excellent
37.6%
Exceptional
38.6%
In Labor Force | Age 20-24
Exceptional
75.8%
Exceptional
77.3%
In Labor Force | Age 25-29
Good
84.8%
Poor
84.3%
In Labor Force | Age 30-34
Good
84.7%
Excellent
85.0%
In Labor Force | Age 35-44
Average
84.4%
Exceptional
85.1%
In Labor Force | Age 45-54
Average
82.8%
Exceptional
84.1%

Pakistani vs Chinese Family Structure

When considering family structure, the most significant differences between Pakistani and Chinese communities in the United States are seen in single mother households (6.1% compared to 5.2%, a difference of 17.8%), single father households (2.3% compared to 2.0%, a difference of 16.6%), and family households with children (27.9% compared to 26.0%, a difference of 7.4%). Conversely, both communities are more comparable in terms of births to unmarried women (30.5% compared to 30.2%, a difference of 0.80%), average family size (3.22 compared to 3.34, a difference of 3.8%), and currently married (47.2% compared to 49.5%, a difference of 5.0%).
Pakistani vs Chinese Family Structure
Family Structure MetricPakistaniChinese
Family Households
Excellent
64.7%
Exceptional
68.1%
Family Households with Children
Exceptional
27.9%
Tragic
26.0%
Married-couple Households
Excellent
47.3%
Exceptional
50.4%
Average Family Size
Fair
3.22
Exceptional
3.34
Single Father Households
Good
2.3%
Exceptional
2.0%
Single Mother Households
Good
6.1%
Exceptional
5.2%
Currently Married
Good
47.2%
Exceptional
49.5%
Divorced or Separated
Excellent
11.9%
Exceptional
11.2%
Births to Unmarried Women
Excellent
30.5%
Excellent
30.2%

Pakistani vs Chinese Vehicle Availability

When considering vehicle availability, the most significant differences between Pakistani and Chinese communities in the United States are seen in 4 or more vehicles in household (7.0% compared to 8.8%, a difference of 26.1%), 3 or more vehicles in household (21.0% compared to 23.9%, a difference of 13.5%), and no vehicles in household (9.0% compared to 8.2%, a difference of 9.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.3% compared to 91.9%, a difference of 0.62%), 2 or more vehicles in household (57.9% compared to 60.1%, a difference of 3.8%), and no vehicles in household (9.0% compared to 8.2%, a difference of 9.2%).
Pakistani vs Chinese Vehicle Availability
Vehicle Availability MetricPakistaniChinese
No Vehicles Available
Exceptional
9.0%
Exceptional
8.2%
1+ Vehicles Available
Exceptional
91.3%
Exceptional
91.9%
2+ Vehicles Available
Exceptional
57.9%
Exceptional
60.1%
3+ Vehicles Available
Exceptional
21.0%
Exceptional
23.9%
4+ Vehicles Available
Exceptional
7.0%
Exceptional
8.8%

Pakistani vs Chinese Education Level

When considering education level, the most significant differences between Pakistani and Chinese communities in the United States are seen in no schooling completed (2.1% compared to 1.5%, a difference of 43.0%), doctorate degree (2.0% compared to 1.8%, a difference of 16.1%), and master's degree (15.8% compared to 14.6%, a difference of 8.4%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 98.6%, a difference of 0.64%), kindergarten (97.9% compared to 98.5%, a difference of 0.65%), and 1st grade (97.9% compared to 98.5%, a difference of 0.65%).
Pakistani vs Chinese Education Level
Education Level MetricPakistaniChinese
No Schooling Completed
Average
2.1%
Exceptional
1.5%
Nursery School
Fair
97.9%
Exceptional
98.6%
Kindergarten
Fair
97.9%
Exceptional
98.5%
1st Grade
Fair
97.9%
Exceptional
98.5%
2nd Grade
Fair
97.8%
Exceptional
98.5%
3rd Grade
Fair
97.7%
Exceptional
98.4%
4th Grade
Fair
97.5%
Exceptional
98.3%
5th Grade
Average
97.3%
Exceptional
98.1%
6th Grade
Average
97.0%
Exceptional
97.9%
7th Grade
Average
96.0%
Exceptional
97.1%
8th Grade
Average
95.7%
Exceptional
96.9%
9th Grade
Good
95.0%
Exceptional
96.3%
10th Grade
Good
93.9%
Exceptional
95.5%
11th Grade
Good
92.8%
Exceptional
94.6%
12th Grade, No Diploma
Good
91.5%
Exceptional
93.6%
High School Diploma
Good
89.6%
Exceptional
92.0%
GED/Equivalency
Excellent
86.4%
Exceptional
89.0%
College, Under 1 year
Exceptional
67.5%
Exceptional
68.3%
College, 1 year or more
Exceptional
61.5%
Exceptional
62.2%
Associate's Degree
Excellent
48.1%
Exceptional
48.5%
Bachelor's Degree
Excellent
39.7%
Good
38.5%
Master's Degree
Excellent
15.8%
Fair
14.6%
Professional Degree
Exceptional
4.8%
Average
4.5%
Doctorate Degree
Exceptional
2.0%
Fair
1.8%

Pakistani vs Chinese Disability

When considering disability, the most significant differences between Pakistani and Chinese communities in the United States are seen in hearing disability (3.1% compared to 3.7%, a difference of 17.1%), disability age 5 to 17 (5.5% compared to 4.7%, a difference of 16.4%), and disability age under 5 (1.3% compared to 1.1%, a difference of 12.2%). Conversely, both communities are more comparable in terms of disability age over 75 (47.7% compared to 48.7%, a difference of 2.2%), female disability (12.0% compared to 12.3%, a difference of 2.8%), and vision disability (2.1% compared to 2.0%, a difference of 4.4%).
Pakistani vs Chinese Disability
Disability MetricPakistaniChinese
Disability
Average
11.7%
Tragic
12.2%
Males
Fair
11.3%
Tragic
12.1%
Females
Excellent
12.0%
Fair
12.3%
Age | Under 5 years
Poor
1.3%
Exceptional
1.1%
Age | 5 to 17 years
Excellent
5.5%
Exceptional
4.7%
Age | 18 to 34 years
Fair
6.7%
Exceptional
6.3%
Age | 35 to 64 years
Good
11.1%
Exceptional
10.3%
Age | 65 to 74 years
Average
23.2%
Exceptional
21.7%
Age | Over 75 years
Fair
47.7%
Tragic
48.7%
Vision
Good
2.1%
Exceptional
2.0%
Hearing
Poor
3.1%
Tragic
3.7%
Cognitive
Average
17.3%
Exceptional
15.9%
Ambulatory
Excellent
6.0%
Tragic
6.5%
Self-Care
Good
2.4%
Tragic
2.6%