Danish vs Pakistani Community Comparison

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Danish
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 IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDelawareDominicanDutchDutch 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

Danes

Pakistanis

Excellent
Good
8,781
SOCIAL INDEX
85.3/ 100
SOCIAL RATING
48th/ 347
SOCIAL RANK
8,084
SOCIAL INDEX
78.3/ 100
SOCIAL RATING
88th/ 347
SOCIAL RANK

Pakistani Integration in Danish Communities

The statistical analysis conducted on geographies consisting of 314,484,317 people shows a poor positive correlation between the proportion of Pakistanis within Danish communities in the United States with a correlation coefficient (R) of 0.162. On average, for every 1% (one percent) increase in Danes within a typical geography, there is an increase of 0.008% in Pakistanis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Danes corresponds to an increase of 8.2 Pakistanis.
Danish Integration in Pakistani Communities

Danish vs Pakistani Income

When considering income, the most significant differences between Danish and Pakistani communities in the United States are seen in wage/income gap (31.0% compared to 26.1%, a difference of 18.8%), median female earnings ($37,730 compared to $40,596, a difference of 7.6%), and median earnings ($46,392 compared to $48,254, a difference of 4.0%). Conversely, both communities are more comparable in terms of householder income ages 45 - 64 years ($105,619 compared to $105,317, a difference of 0.29%), householder income under 25 years ($53,041 compared to $53,325, a difference of 0.54%), and median male earnings ($56,246 compared to $56,719, a difference of 0.84%).
Danish vs Pakistani Income
Income MetricDanishPakistani
Per Capita Income
Good
$44,095
Excellent
$45,587
Median Family Income
Excellent
$105,900
Exceptional
$107,390
Median Household Income
Excellent
$87,676
Exceptional
$89,638
Median Earnings
Average
$46,392
Exceptional
$48,254
Median Male Earnings
Excellent
$56,246
Excellent
$56,719
Median Female Earnings
Tragic
$37,730
Excellent
$40,596
Householder Age | Under 25 years
Excellent
$53,041
Exceptional
$53,325
Householder Age | 25 - 44 years
Excellent
$97,221
Excellent
$98,401
Householder Age | 45 - 64 years
Exceptional
$105,619
Exceptional
$105,317
Householder Age | Over 65 years
Exceptional
$63,117
Exceptional
$63,844
Wage/Income Gap
Tragic
31.0%
Fair
26.1%

Danish vs Pakistani Poverty

When considering poverty, the most significant differences between Danish and Pakistani communities in the United States are seen in seniors poverty over the age of 65 (8.8% compared to 10.3%, a difference of 17.4%), receiving food stamps (9.0% compared to 10.4%, a difference of 15.5%), and seniors poverty over the age of 75 (10.2% compared to 11.8%, a difference of 15.2%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.8% compared to 19.8%, a difference of 0.090%), single father poverty (15.8% compared to 15.7%, a difference of 0.30%), and female poverty among 25-34 year olds (12.8% compared to 13.0%, a difference of 1.6%).
Danish vs Pakistani Poverty
Poverty MetricDanishPakistani
Poverty
Exceptional
10.7%
Excellent
11.9%
Families
Exceptional
7.3%
Exceptional
8.3%
Males
Exceptional
9.7%
Excellent
10.8%
Females
Exceptional
11.7%
Excellent
12.9%
Females 18 to 24 years
Good
19.8%
Good
19.8%
Females 25 to 34 years
Exceptional
12.8%
Excellent
13.0%
Children Under 5 years
Exceptional
14.9%
Exceptional
16.0%
Children Under 16 years
Exceptional
13.4%
Exceptional
15.0%
Boys Under 16 years
Exceptional
13.6%
Exceptional
15.1%
Girls Under 16 years
Exceptional
13.7%
Exceptional
15.3%
Single Males
Average
12.8%
Exceptional
12.4%
Single Females
Good
20.7%
Exceptional
20.2%
Single Fathers
Exceptional
15.8%
Exceptional
15.7%
Single Mothers
Excellent
28.5%
Exceptional
28.0%
Married Couples
Exceptional
4.1%
Exceptional
4.7%
Seniors Over 65 years
Exceptional
8.8%
Exceptional
10.3%
Seniors Over 75 years
Exceptional
10.2%
Excellent
11.8%
Receiving Food Stamps
Exceptional
9.0%
Exceptional
10.4%

Danish vs Pakistani Unemployment

When considering unemployment, the most significant differences between Danish and Pakistani communities in the United States are seen in unemployment (4.3% compared to 5.1%, a difference of 17.6%), female unemployment (4.4% compared to 5.1%, a difference of 16.8%), and male unemployment (4.5% compared to 5.2%, a difference of 15.3%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.2% compared to 5.3%, a difference of 1.6%), unemployment among women with children under 6 years (7.1% compared to 7.3%, a difference of 2.7%), and unemployment among women with children ages 6 to 17 years (8.1% compared to 8.4%, a difference of 3.3%).
Danish vs Pakistani Unemployment
Unemployment MetricDanishPakistani
Unemployment
Exceptional
4.3%
Excellent
5.1%
Males
Exceptional
4.5%
Excellent
5.2%
Females
Exceptional
4.4%
Excellent
5.1%
Youth < 25
Exceptional
10.3%
Exceptional
11.3%
Age | 16 to 19 years
Exceptional
15.2%
Excellent
17.2%
Age | 20 to 24 years
Exceptional
9.3%
Exceptional
9.8%
Age | 25 to 29 years
Exceptional
6.0%
Excellent
6.5%
Age | 30 to 34 years
Exceptional
5.0%
Good
5.4%
Age | 35 to 44 years
Exceptional
4.1%
Good
4.6%
Age | 45 to 54 years
Exceptional
3.9%
Exceptional
4.4%
Age | 55 to 59 years
Exceptional
4.3%
Excellent
4.7%
Age | 60 to 64 years
Exceptional
4.4%
Good
4.8%
Age | 65 to 74 years
Exceptional
5.2%
Excellent
5.3%
Seniors > 65
Exceptional
4.9%
Good
5.1%
Seniors > 75
Tragic
9.7%
Fair
8.9%
Women w/ Children < 6
Exceptional
7.1%
Exceptional
7.3%
Women w/ Children 6 to 17
Exceptional
8.1%
Exceptional
8.4%
Women w/ Children < 18
Exceptional
4.5%
Excellent
5.2%

Danish vs Pakistani Labor Participation

When considering labor participation, the most significant differences between Danish and Pakistani communities in the United States are seen in in labor force | age 16-19 (44.7% compared to 37.6%, a difference of 19.0%), in labor force | age 20-24 (79.0% compared to 75.8%, a difference of 4.2%), and in labor force | age > 16 (65.3% compared to 65.8%, a difference of 0.76%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.8%, a difference of 0.020%), in labor force | age 35-44 (84.3% compared to 84.4%, a difference of 0.060%), and in labor force | age 20-64 (79.9% compared to 79.8%, a difference of 0.21%).
Danish vs Pakistani Labor Participation
Labor Participation MetricDanishPakistani
In Labor Force | Age > 16
Good
65.3%
Exceptional
65.8%
In Labor Force | Age 20-64
Exceptional
79.9%
Good
79.8%
In Labor Force | Age 16-19
Exceptional
44.7%
Excellent
37.6%
In Labor Force | Age 20-24
Exceptional
79.0%
Exceptional
75.8%
In Labor Force | Age 25-29
Good
84.8%
Good
84.8%
In Labor Force | Age 30-34
Tragic
84.3%
Good
84.7%
In Labor Force | Age 35-44
Fair
84.3%
Average
84.4%
In Labor Force | Age 45-54
Exceptional
83.3%
Average
82.8%

Danish vs Pakistani Family Structure

When considering family structure, the most significant differences between Danish and Pakistani communities in the United States are seen in single mother households (5.5% compared to 6.1%, a difference of 10.0%), married-couple households (51.1% compared to 47.3%, a difference of 7.9%), and currently married (50.5% compared to 47.2%, a difference of 7.0%). Conversely, both communities are more comparable in terms of divorced or separated (11.9% compared to 11.9%, a difference of 0.22%), average family size (3.17 compared to 3.22, a difference of 1.4%), and single father households (2.3% compared to 2.3%, a difference of 1.8%).
Danish vs Pakistani Family Structure
Family Structure MetricDanishPakistani
Family Households
Exceptional
66.0%
Excellent
64.7%
Family Households with Children
Exceptional
28.7%
Exceptional
27.9%
Married-couple Households
Exceptional
51.1%
Excellent
47.3%
Average Family Size
Tragic
3.17
Fair
3.22
Single Father Households
Average
2.3%
Good
2.3%
Single Mother Households
Exceptional
5.5%
Good
6.1%
Currently Married
Exceptional
50.5%
Good
47.2%
Divorced or Separated
Excellent
11.9%
Excellent
11.9%
Births to Unmarried Women
Exceptional
28.7%
Excellent
30.5%

Danish vs Pakistani Vehicle Availability

When considering vehicle availability, the most significant differences between Danish and Pakistani communities in the United States are seen in no vehicles in household (6.6% compared to 9.0%, a difference of 36.3%), 4 or more vehicles in household (8.6% compared to 7.0%, a difference of 22.2%), and 3 or more vehicles in household (24.7% compared to 21.0%, a difference of 17.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.5% compared to 91.3%, a difference of 2.5%), 2 or more vehicles in household (63.3% compared to 57.9%, a difference of 9.3%), and 3 or more vehicles in household (24.7% compared to 21.0%, a difference of 17.5%).
Danish vs Pakistani Vehicle Availability
Vehicle Availability MetricDanishPakistani
No Vehicles Available
Exceptional
6.6%
Exceptional
9.0%
1+ Vehicles Available
Exceptional
93.5%
Exceptional
91.3%
2+ Vehicles Available
Exceptional
63.3%
Exceptional
57.9%
3+ Vehicles Available
Exceptional
24.7%
Exceptional
21.0%
4+ Vehicles Available
Exceptional
8.6%
Exceptional
7.0%

Danish vs Pakistani Education Level

When considering education level, the most significant differences between Danish and Pakistani communities in the United States are seen in no schooling completed (1.5% compared to 2.1%, a difference of 43.8%), professional degree (4.4% compared to 4.8%, a difference of 9.4%), and master's degree (14.5% compared to 15.8%, a difference of 8.6%). Conversely, both communities are more comparable in terms of college, 1 year or more (61.7% compared to 61.5%, a difference of 0.35%), nursery school (98.6% compared to 97.9%, a difference of 0.70%), and kindergarten (98.6% compared to 97.9%, a difference of 0.71%).
Danish vs Pakistani Education Level
Education Level MetricDanishPakistani
No Schooling Completed
Exceptional
1.5%
Average
2.1%
Nursery School
Exceptional
98.6%
Fair
97.9%
Kindergarten
Exceptional
98.6%
Fair
97.9%
1st Grade
Exceptional
98.6%
Fair
97.9%
2nd Grade
Exceptional
98.5%
Fair
97.8%
3rd Grade
Exceptional
98.5%
Fair
97.7%
4th Grade
Exceptional
98.3%
Fair
97.5%
5th Grade
Exceptional
98.2%
Average
97.3%
6th Grade
Exceptional
98.0%
Average
97.0%
7th Grade
Exceptional
97.4%
Average
96.0%
8th Grade
Exceptional
97.2%
Average
95.7%
9th Grade
Exceptional
96.5%
Good
95.0%
10th Grade
Exceptional
95.7%
Good
93.9%
11th Grade
Exceptional
94.7%
Good
92.8%
12th Grade, No Diploma
Exceptional
93.5%
Good
91.5%
High School Diploma
Exceptional
91.8%
Good
89.6%
GED/Equivalency
Exceptional
88.4%
Excellent
86.4%
College, Under 1 year
Exceptional
68.5%
Exceptional
67.5%
College, 1 year or more
Exceptional
61.7%
Exceptional
61.5%
Associate's Degree
Good
47.4%
Excellent
48.1%
Bachelor's Degree
Average
38.1%
Excellent
39.7%
Master's Degree
Fair
14.5%
Excellent
15.8%
Professional Degree
Average
4.4%
Exceptional
4.8%
Doctorate Degree
Good
1.9%
Exceptional
2.0%

Danish vs Pakistani Disability

When considering disability, the most significant differences between Danish and Pakistani communities in the United States are seen in disability age under 5 (1.5% compared to 1.3%, a difference of 15.3%), hearing disability (3.6% compared to 3.1%, a difference of 13.2%), and disability age 18 to 34 (7.5% compared to 6.7%, a difference of 12.3%). Conversely, both communities are more comparable in terms of female disability (12.1% compared to 12.0%, a difference of 0.70%), disability age 65 to 74 (22.8% compared to 23.2%, a difference of 2.1%), and disability age 35 to 64 (11.4% compared to 11.1%, a difference of 2.4%).
Danish vs Pakistani Disability
Disability MetricDanishPakistani
Disability
Tragic
12.0%
Average
11.7%
Males
Tragic
11.9%
Fair
11.3%
Females
Good
12.1%
Excellent
12.0%
Age | Under 5 years
Tragic
1.5%
Poor
1.3%
Age | 5 to 17 years
Fair
5.7%
Excellent
5.5%
Age | 18 to 34 years
Tragic
7.5%
Fair
6.7%
Age | 35 to 64 years
Fair
11.4%
Good
11.1%
Age | 65 to 74 years
Excellent
22.8%
Average
23.2%
Age | Over 75 years
Exceptional
46.2%
Fair
47.7%
Vision
Exceptional
2.1%
Good
2.1%
Hearing
Tragic
3.6%
Poor
3.1%
Cognitive
Exceptional
16.7%
Average
17.3%
Ambulatory
Exceptional
5.8%
Excellent
6.0%
Self-Care
Exceptional
2.3%
Good
2.4%