Chinese vs Pakistani 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 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
Pakistani
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

Pakistanis

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

Pakistani Integration in Chinese Communities

The statistical analysis conducted on geographies consisting of 61,487,544 people shows a mild positive correlation between the proportion of Pakistanis within Chinese communities in the United States with a correlation coefficient (R) of 0.315. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 0.051% in Pakistanis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to an increase of 50.6 Pakistanis.
Chinese Integration in Pakistani Communities

Chinese vs Pakistani Income

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

Chinese vs Pakistani Poverty

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

Chinese vs Pakistani Unemployment

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

Chinese vs Pakistani Labor Participation

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

Chinese vs Pakistani Family Structure

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

Chinese vs Pakistani Vehicle Availability

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

Chinese vs Pakistani Education Level

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

Chinese vs Pakistani Disability

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