Danish vs Indian (Asian) 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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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
Indian (Asian)
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

Indians (Asian)

Excellent
Good
8,781
SOCIAL INDEX
85.3/ 100
SOCIAL RATING
48th/ 347
SOCIAL RANK
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK

Indian (Asian) Integration in Danish Communities

The statistical analysis conducted on geographies consisting of 434,391,603 people shows no correlation between the proportion of Indians (Asian) within Danish communities in the United States with a correlation coefficient (R) of 0.043. On average, for every 1% (one percent) increase in Danes within a typical geography, there is an increase of 0.008% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Danes corresponds to an increase of 7.7 Indians (Asian).
Danish Integration in Indian (Asian) Communities

Danish vs Indian (Asian) Income

When considering income, the most significant differences between Danish and Indian (Asian) communities in the United States are seen in median female earnings ($37,730 compared to $46,481, a difference of 23.2%), householder income ages 25 - 44 years ($97,221 compared to $119,496, a difference of 22.9%), and per capita income ($44,095 compared to $53,874, a difference of 22.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,041 compared to $58,239, a difference of 9.8%), householder income over 65 years ($63,117 compared to $70,238, a difference of 11.3%), and householder income ages 45 - 64 years ($105,619 compared to $122,343, a difference of 15.8%).
Danish vs Indian (Asian) Income
Income MetricDanishIndian (Asian)
Per Capita Income
Good
$44,095
Exceptional
$53,874
Median Family Income
Excellent
$105,900
Exceptional
$125,312
Median Household Income
Excellent
$87,676
Exceptional
$105,262
Median Earnings
Average
$46,392
Exceptional
$56,253
Median Male Earnings
Excellent
$56,246
Exceptional
$66,078
Median Female Earnings
Tragic
$37,730
Exceptional
$46,481
Householder Age | Under 25 years
Excellent
$53,041
Exceptional
$58,239
Householder Age | 25 - 44 years
Excellent
$97,221
Exceptional
$119,496
Householder Age | 45 - 64 years
Exceptional
$105,619
Exceptional
$122,343
Householder Age | Over 65 years
Exceptional
$63,117
Exceptional
$70,238
Wage/Income Gap
Tragic
31.0%
Poor
26.4%

Danish vs Indian (Asian) Poverty

When considering poverty, the most significant differences between Danish and Indian (Asian) communities in the United States are seen in seniors poverty over the age of 65 (8.8% compared to 11.1%, a difference of 26.0%), seniors poverty over the age of 75 (10.2% compared to 12.7%, a difference of 24.6%), and married-couple family poverty (4.1% compared to 4.8%, a difference of 16.3%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.8% compared to 19.6%, a difference of 1.1%), child poverty under the age of 16 (13.4% compared to 13.1%, a difference of 1.9%), and child poverty among boys under 16 (13.6% compared to 13.3%, a difference of 2.6%).
Danish vs Indian (Asian) Poverty
Poverty MetricDanishIndian (Asian)
Poverty
Exceptional
10.7%
Exceptional
11.3%
Families
Exceptional
7.3%
Exceptional
7.7%
Males
Exceptional
9.7%
Exceptional
10.4%
Females
Exceptional
11.7%
Exceptional
12.2%
Females 18 to 24 years
Good
19.8%
Excellent
19.6%
Females 25 to 34 years
Exceptional
12.8%
Exceptional
11.2%
Children Under 5 years
Exceptional
14.9%
Exceptional
13.4%
Children Under 16 years
Exceptional
13.4%
Exceptional
13.1%
Boys Under 16 years
Exceptional
13.6%
Exceptional
13.3%
Girls Under 16 years
Exceptional
13.7%
Exceptional
13.3%
Single Males
Average
12.8%
Exceptional
11.3%
Single Females
Good
20.7%
Exceptional
17.9%
Single Fathers
Exceptional
15.8%
Exceptional
14.8%
Single Mothers
Excellent
28.5%
Exceptional
25.8%
Married Couples
Exceptional
4.1%
Exceptional
4.8%
Seniors Over 65 years
Exceptional
8.8%
Fair
11.1%
Seniors Over 75 years
Exceptional
10.2%
Tragic
12.7%
Receiving Food Stamps
Exceptional
9.0%
Exceptional
9.6%

Danish vs Indian (Asian) Unemployment

When considering unemployment, the most significant differences between Danish and Indian (Asian) communities in the United States are seen in unemployment among seniors over 75 years (9.7% compared to 8.0%, a difference of 21.5%), unemployment (4.3% compared to 5.1%, a difference of 18.1%), and female unemployment (4.4% compared to 5.1%, a difference of 16.8%). 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 3.0%), unemployment among ages 30 to 34 years (5.0% compared to 5.1%, a difference of 3.3%), and unemployment among ages 25 to 29 years (6.0% compared to 6.3%, a difference of 3.6%).
Danish vs Indian (Asian) Unemployment
Unemployment MetricDanishIndian (Asian)
Unemployment
Exceptional
4.3%
Excellent
5.1%
Males
Exceptional
4.5%
Good
5.2%
Females
Exceptional
4.4%
Excellent
5.1%
Youth < 25
Exceptional
10.3%
Good
11.5%
Age | 16 to 19 years
Exceptional
15.2%
Good
17.3%
Age | 20 to 24 years
Exceptional
9.3%
Good
10.3%
Age | 25 to 29 years
Exceptional
6.0%
Exceptional
6.3%
Age | 30 to 34 years
Exceptional
5.0%
Exceptional
5.1%
Age | 35 to 44 years
Exceptional
4.1%
Exceptional
4.4%
Age | 45 to 54 years
Exceptional
3.9%
Good
4.5%
Age | 55 to 59 years
Exceptional
4.3%
Tragic
4.9%
Age | 60 to 64 years
Exceptional
4.4%
Tragic
5.0%
Age | 65 to 74 years
Exceptional
5.2%
Average
5.3%
Seniors > 65
Exceptional
4.9%
Average
5.2%
Seniors > 75
Tragic
9.7%
Exceptional
8.0%
Women w/ Children < 6
Exceptional
7.1%
Exceptional
6.3%
Women w/ Children 6 to 17
Exceptional
8.1%
Exceptional
7.7%
Women w/ Children < 18
Exceptional
4.5%
Exceptional
4.9%

Danish vs Indian (Asian) Labor Participation

When considering labor participation, the most significant differences between Danish and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (44.7% compared to 31.9%, a difference of 40.3%), in labor force | age 20-24 (79.0% compared to 71.9%, a difference of 9.9%), and in labor force | age 30-34 (84.3% compared to 85.4%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.3% compared to 83.3%, a difference of 0.010%), in labor force | age 20-64 (79.9% compared to 79.9%, a difference of 0.080%), and in labor force | age 25-29 (84.8% compared to 84.7%, a difference of 0.090%).
Danish vs Indian (Asian) Labor Participation
Labor Participation MetricDanishIndian (Asian)
In Labor Force | Age > 16
Good
65.3%
Excellent
65.5%
In Labor Force | Age 20-64
Exceptional
79.9%
Excellent
79.9%
In Labor Force | Age 16-19
Exceptional
44.7%
Tragic
31.9%
In Labor Force | Age 20-24
Exceptional
79.0%
Tragic
71.9%
In Labor Force | Age 25-29
Good
84.8%
Good
84.7%
In Labor Force | Age 30-34
Tragic
84.3%
Exceptional
85.4%
In Labor Force | Age 35-44
Fair
84.3%
Exceptional
84.8%
In Labor Force | Age 45-54
Exceptional
83.3%
Exceptional
83.3%

Danish vs Indian (Asian) Family Structure

When considering family structure, the most significant differences between Danish and Indian (Asian) communities in the United States are seen in single father households (2.3% compared to 1.9%, a difference of 22.8%), divorced or separated (11.9% compared to 10.2%, a difference of 16.5%), and births to unmarried women (28.7% compared to 25.3%, a difference of 13.6%). Conversely, both communities are more comparable in terms of family households (66.0% compared to 65.1%, a difference of 1.4%), average family size (3.17 compared to 3.24, a difference of 2.2%), and family households with children (28.7% compared to 27.6%, a difference of 4.2%).
Danish vs Indian (Asian) Family Structure
Family Structure MetricDanishIndian (Asian)
Family Households
Exceptional
66.0%
Exceptional
65.1%
Family Households with Children
Exceptional
28.7%
Good
27.6%
Married-couple Households
Exceptional
51.1%
Exceptional
48.7%
Average Family Size
Tragic
3.17
Good
3.24
Single Father Households
Average
2.3%
Exceptional
1.9%
Single Mother Households
Exceptional
5.5%
Exceptional
5.1%
Currently Married
Exceptional
50.5%
Exceptional
48.0%
Divorced or Separated
Excellent
11.9%
Exceptional
10.2%
Births to Unmarried Women
Exceptional
28.7%
Exceptional
25.3%

Danish vs Indian (Asian) Vehicle Availability

When considering vehicle availability, the most significant differences between Danish and Indian (Asian) communities in the United States are seen in no vehicles in household (6.6% compared to 14.1%, a difference of 113.5%), 4 or more vehicles in household (8.6% compared to 6.4%, a difference of 33.2%), and 3 or more vehicles in household (24.7% compared to 19.1%, a difference of 29.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.5% compared to 86.0%, a difference of 8.7%), 2 or more vehicles in household (63.3% compared to 53.1%, a difference of 19.2%), and 3 or more vehicles in household (24.7% compared to 19.1%, a difference of 29.3%).
Danish vs Indian (Asian) Vehicle Availability
Vehicle Availability MetricDanishIndian (Asian)
No Vehicles Available
Exceptional
6.6%
Tragic
14.1%
1+ Vehicles Available
Exceptional
93.5%
Tragic
86.0%
2+ Vehicles Available
Exceptional
63.3%
Tragic
53.1%
3+ Vehicles Available
Exceptional
24.7%
Fair
19.1%
4+ Vehicles Available
Exceptional
8.6%
Good
6.4%

Danish vs Indian (Asian) Education Level

When considering education level, the most significant differences between Danish and Indian (Asian) communities in the United States are seen in no schooling completed (1.5% compared to 2.5%, a difference of 69.0%), doctorate degree (1.9% compared to 2.9%, a difference of 53.0%), and professional degree (4.4% compared to 6.5%, a difference of 49.4%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.6%, a difference of 1.0%), kindergarten (98.6% compared to 97.6%, a difference of 1.0%), and 1st grade (98.6% compared to 97.5%, a difference of 1.1%).
Danish vs Indian (Asian) Education Level
Education Level MetricDanishIndian (Asian)
No Schooling Completed
Exceptional
1.5%
Tragic
2.5%
Nursery School
Exceptional
98.6%
Tragic
97.6%
Kindergarten
Exceptional
98.6%
Tragic
97.6%
1st Grade
Exceptional
98.6%
Tragic
97.5%
2nd Grade
Exceptional
98.5%
Tragic
97.5%
3rd Grade
Exceptional
98.5%
Tragic
97.4%
4th Grade
Exceptional
98.3%
Tragic
97.2%
5th Grade
Exceptional
98.2%
Tragic
96.9%
6th Grade
Exceptional
98.0%
Tragic
96.6%
7th Grade
Exceptional
97.4%
Tragic
95.5%
8th Grade
Exceptional
97.2%
Tragic
95.2%
9th Grade
Exceptional
96.5%
Tragic
94.5%
10th Grade
Exceptional
95.7%
Poor
93.4%
11th Grade
Exceptional
94.7%
Average
92.5%
12th Grade, No Diploma
Exceptional
93.5%
Good
91.5%
High School Diploma
Exceptional
91.8%
Good
89.6%
GED/Equivalency
Exceptional
88.4%
Exceptional
87.1%
College, Under 1 year
Exceptional
68.5%
Exceptional
70.8%
College, 1 year or more
Exceptional
61.7%
Exceptional
66.1%
Associate's Degree
Good
47.4%
Exceptional
54.8%
Bachelor's Degree
Average
38.1%
Exceptional
47.4%
Master's Degree
Fair
14.5%
Exceptional
20.5%
Professional Degree
Average
4.4%
Exceptional
6.5%
Doctorate Degree
Good
1.9%
Exceptional
2.9%

Danish vs Indian (Asian) Disability

When considering disability, the most significant differences between Danish and Indian (Asian) communities in the United States are seen in disability age under 5 (1.5% compared to 1.0%, a difference of 47.3%), disability age 18 to 34 (7.5% compared to 5.5%, a difference of 35.2%), and hearing disability (3.6% compared to 2.7%, a difference of 31.4%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.8%, a difference of 0.63%), disability age over 75 (46.2% compared to 46.5%, a difference of 0.67%), and self-care disability (2.3% compared to 2.3%, a difference of 3.6%).
Danish vs Indian (Asian) Disability
Disability MetricDanishIndian (Asian)
Disability
Tragic
12.0%
Exceptional
10.3%
Males
Tragic
11.9%
Exceptional
9.7%
Females
Good
12.1%
Exceptional
10.8%
Age | Under 5 years
Tragic
1.5%
Exceptional
1.0%
Age | 5 to 17 years
Fair
5.7%
Exceptional
4.6%
Age | 18 to 34 years
Tragic
7.5%
Exceptional
5.5%
Age | 35 to 64 years
Fair
11.4%
Exceptional
8.9%
Age | 65 to 74 years
Excellent
22.8%
Exceptional
20.5%
Age | Over 75 years
Exceptional
46.2%
Exceptional
46.5%
Vision
Exceptional
2.1%
Exceptional
1.8%
Hearing
Tragic
3.6%
Exceptional
2.7%
Cognitive
Exceptional
16.7%
Exceptional
16.8%
Ambulatory
Exceptional
5.8%
Exceptional
5.4%
Self-Care
Exceptional
2.3%
Exceptional
2.3%