Danish vs Bhutanese Community Comparison

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Danish
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral 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
Bhutanese
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

Bhutanese

Excellent
Exceptional
8,781
SOCIAL INDEX
85.3/ 100
SOCIAL RATING
48th/ 347
SOCIAL RANK
10,144
SOCIAL INDEX
98.9/ 100
SOCIAL RATING
3rd/ 347
SOCIAL RANK

Bhutanese Integration in Danish Communities

The statistical analysis conducted on geographies consisting of 409,317,213 people shows a mild positive correlation between the proportion of Bhutanese within Danish communities in the United States with a correlation coefficient (R) of 0.312. On average, for every 1% (one percent) increase in Danes within a typical geography, there is an increase of 0.025% in Bhutanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Danes corresponds to an increase of 25.1 Bhutanese.
Danish Integration in Bhutanese Communities

Danish vs Bhutanese Income

When considering income, the most significant differences between Danish and Bhutanese communities in the United States are seen in median female earnings ($37,730 compared to $43,648, a difference of 15.7%), wage/income gap (31.0% compared to 27.0%, a difference of 14.7%), and householder income over 65 years ($63,117 compared to $72,288, a difference of 14.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,041 compared to $57,078, a difference of 7.6%), median male earnings ($56,246 compared to $61,759, a difference of 9.8%), and householder income ages 45 - 64 years ($105,619 compared to $117,750, a difference of 11.5%).
Danish vs Bhutanese Income
Income MetricDanishBhutanese
Per Capita Income
Good
$44,095
Exceptional
$49,894
Median Family Income
Excellent
$105,900
Exceptional
$119,800
Median Household Income
Excellent
$87,676
Exceptional
$100,151
Median Earnings
Average
$46,392
Exceptional
$52,297
Median Male Earnings
Excellent
$56,246
Exceptional
$61,759
Median Female Earnings
Tragic
$37,730
Exceptional
$43,648
Householder Age | Under 25 years
Excellent
$53,041
Exceptional
$57,078
Householder Age | 25 - 44 years
Excellent
$97,221
Exceptional
$109,520
Householder Age | 45 - 64 years
Exceptional
$105,619
Exceptional
$117,750
Householder Age | Over 65 years
Exceptional
$63,117
Exceptional
$72,288
Wage/Income Gap
Tragic
31.0%
Tragic
27.0%

Danish vs Bhutanese Poverty

When considering poverty, the most significant differences between Danish and Bhutanese communities in the United States are seen in single female poverty (20.7% compared to 17.7%, a difference of 16.9%), single male poverty (12.8% compared to 11.1%, a difference of 15.5%), and child poverty under the age of 5 (14.9% compared to 13.4%, a difference of 11.7%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.1% compared to 4.1%, a difference of 1.2%), receiving food stamps (9.0% compared to 9.2%, a difference of 2.0%), and male poverty (9.7% compared to 9.5%, a difference of 2.4%).
Danish vs Bhutanese Poverty
Poverty MetricDanishBhutanese
Poverty
Exceptional
10.7%
Exceptional
10.4%
Families
Exceptional
7.3%
Exceptional
7.0%
Males
Exceptional
9.7%
Exceptional
9.5%
Females
Exceptional
11.7%
Exceptional
11.3%
Females 18 to 24 years
Good
19.8%
Exceptional
18.2%
Females 25 to 34 years
Exceptional
12.8%
Exceptional
11.4%
Children Under 5 years
Exceptional
14.9%
Exceptional
13.4%
Children Under 16 years
Exceptional
13.4%
Exceptional
12.5%
Boys Under 16 years
Exceptional
13.6%
Exceptional
12.6%
Girls Under 16 years
Exceptional
13.7%
Exceptional
12.7%
Single Males
Average
12.8%
Exceptional
11.1%
Single Females
Good
20.7%
Exceptional
17.7%
Single Fathers
Exceptional
15.8%
Exceptional
15.0%
Single Mothers
Excellent
28.5%
Exceptional
25.6%
Married Couples
Exceptional
4.1%
Exceptional
4.1%
Seniors Over 65 years
Exceptional
8.8%
Exceptional
9.3%
Seniors Over 75 years
Exceptional
10.2%
Exceptional
10.6%
Receiving Food Stamps
Exceptional
9.0%
Exceptional
9.2%

Danish vs Bhutanese Unemployment

When considering unemployment, the most significant differences between Danish and Bhutanese communities in the United States are seen in unemployment among seniors over 75 years (9.7% compared to 8.0%, a difference of 20.3%), unemployment (4.3% compared to 4.9%, a difference of 12.4%), and female unemployment (4.4% compared to 4.9%, a difference of 12.0%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.1% compared to 8.1%, a difference of 0.98%), unemployment among seniors over 65 years (4.9% compared to 4.8%, a difference of 1.3%), and unemployment among ages 25 to 29 years (6.0% compared to 6.2%, a difference of 3.3%).
Danish vs Bhutanese Unemployment
Unemployment MetricDanishBhutanese
Unemployment
Exceptional
4.3%
Exceptional
4.9%
Males
Exceptional
4.5%
Exceptional
4.9%
Females
Exceptional
4.4%
Exceptional
4.9%
Youth < 25
Exceptional
10.3%
Exceptional
11.2%
Age | 16 to 19 years
Exceptional
15.2%
Exceptional
16.4%
Age | 20 to 24 years
Exceptional
9.3%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
6.0%
Exceptional
6.2%
Age | 30 to 34 years
Exceptional
5.0%
Exceptional
5.2%
Age | 35 to 44 years
Exceptional
4.1%
Exceptional
4.4%
Age | 45 to 54 years
Exceptional
3.9%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.3%
Exceptional
4.6%
Age | 60 to 64 years
Exceptional
4.4%
Exceptional
4.5%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.0%
Seniors > 65
Exceptional
4.9%
Exceptional
4.8%
Seniors > 75
Tragic
9.7%
Exceptional
8.0%
Women w/ Children < 6
Exceptional
7.1%
Exceptional
6.7%
Women w/ Children 6 to 17
Exceptional
8.1%
Exceptional
8.1%
Women w/ Children < 18
Exceptional
4.5%
Exceptional
5.0%

Danish vs Bhutanese Labor Participation

When considering labor participation, the most significant differences between Danish and Bhutanese communities in the United States are seen in in labor force | age 16-19 (44.7% compared to 36.3%, a difference of 23.2%), in labor force | age 20-24 (79.0% compared to 75.4%, a difference of 4.7%), and in labor force | age 30-34 (84.3% compared to 85.0%, a difference of 0.85%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.8%, a difference of 0.040%), in labor force | age 45-54 (83.3% compared to 83.5%, a difference of 0.24%), and in labor force | age > 16 (65.3% compared to 65.5%, a difference of 0.29%).
Danish vs Bhutanese Labor Participation
Labor Participation MetricDanishBhutanese
In Labor Force | Age > 16
Good
65.3%
Excellent
65.5%
In Labor Force | Age 20-64
Exceptional
79.9%
Exceptional
80.2%
In Labor Force | Age 16-19
Exceptional
44.7%
Fair
36.3%
In Labor Force | Age 20-24
Exceptional
79.0%
Excellent
75.4%
In Labor Force | Age 25-29
Good
84.8%
Good
84.8%
In Labor Force | Age 30-34
Tragic
84.3%
Excellent
85.0%
In Labor Force | Age 35-44
Fair
84.3%
Excellent
84.7%
In Labor Force | Age 45-54
Exceptional
83.3%
Exceptional
83.5%

Danish vs Bhutanese Family Structure

When considering family structure, the most significant differences between Danish and Bhutanese communities in the United States are seen in single father households (2.3% compared to 2.1%, a difference of 10.8%), divorced or separated (11.9% compared to 11.2%, a difference of 6.2%), and family households with children (28.7% compared to 27.3%, a difference of 5.4%). Conversely, both communities are more comparable in terms of family households (66.0% compared to 65.9%, a difference of 0.26%), average family size (3.17 compared to 3.25, a difference of 2.4%), and births to unmarried women (28.7% compared to 27.9%, a difference of 2.9%).
Danish vs Bhutanese Family Structure
Family Structure MetricDanishBhutanese
Family Households
Exceptional
66.0%
Exceptional
65.9%
Family Households with Children
Exceptional
28.7%
Fair
27.3%
Married-couple Households
Exceptional
51.1%
Exceptional
49.3%
Average Family Size
Tragic
3.17
Excellent
3.25
Single Father Households
Average
2.3%
Exceptional
2.1%
Single Mother Households
Exceptional
5.5%
Exceptional
5.3%
Currently Married
Exceptional
50.5%
Exceptional
48.6%
Divorced or Separated
Excellent
11.9%
Exceptional
11.2%
Births to Unmarried Women
Exceptional
28.7%
Exceptional
27.9%

Danish vs Bhutanese Vehicle Availability

When considering vehicle availability, the most significant differences between Danish and Bhutanese communities in the United States are seen in no vehicles in household (6.6% compared to 8.7%, a difference of 32.3%), 3 or more vehicles in household (24.7% compared to 22.2%, a difference of 11.1%), and 4 or more vehicles in household (8.6% compared to 7.8%, a difference of 9.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.5% compared to 91.4%, a difference of 2.4%), 2 or more vehicles in household (63.3% compared to 59.1%, a difference of 7.1%), and 4 or more vehicles in household (8.6% compared to 7.8%, a difference of 9.9%).
Danish vs Bhutanese Vehicle Availability
Vehicle Availability MetricDanishBhutanese
No Vehicles Available
Exceptional
6.6%
Exceptional
8.7%
1+ Vehicles Available
Exceptional
93.5%
Exceptional
91.4%
2+ Vehicles Available
Exceptional
63.3%
Exceptional
59.1%
3+ Vehicles Available
Exceptional
24.7%
Exceptional
22.2%
4+ Vehicles Available
Exceptional
8.6%
Exceptional
7.8%

Danish vs Bhutanese Education Level

When considering education level, the most significant differences between Danish and Bhutanese communities in the United States are seen in professional degree (4.4% compared to 5.4%, a difference of 24.6%), no schooling completed (1.5% compared to 1.8%, a difference of 23.0%), and doctorate degree (1.9% compared to 2.3%, a difference of 22.1%). Conversely, both communities are more comparable in terms of ged/equivalency (88.4% compared to 88.4%, a difference of 0.020%), nursery school (98.6% compared to 98.2%, a difference of 0.38%), and kindergarten (98.6% compared to 98.2%, a difference of 0.39%).
Danish vs Bhutanese Education Level
Education Level MetricDanishBhutanese
No Schooling Completed
Exceptional
1.5%
Exceptional
1.8%
Nursery School
Exceptional
98.6%
Exceptional
98.2%
Kindergarten
Exceptional
98.6%
Exceptional
98.2%
1st Grade
Exceptional
98.6%
Exceptional
98.2%
2nd Grade
Exceptional
98.5%
Exceptional
98.1%
3rd Grade
Exceptional
98.5%
Exceptional
98.1%
4th Grade
Exceptional
98.3%
Exceptional
97.9%
5th Grade
Exceptional
98.2%
Exceptional
97.7%
6th Grade
Exceptional
98.0%
Exceptional
97.5%
7th Grade
Exceptional
97.4%
Exceptional
96.6%
8th Grade
Exceptional
97.2%
Exceptional
96.4%
9th Grade
Exceptional
96.5%
Exceptional
95.7%
10th Grade
Exceptional
95.7%
Exceptional
94.9%
11th Grade
Exceptional
94.7%
Exceptional
94.0%
12th Grade, No Diploma
Exceptional
93.5%
Exceptional
93.0%
High School Diploma
Exceptional
91.8%
Exceptional
91.2%
GED/Equivalency
Exceptional
88.4%
Exceptional
88.4%
College, Under 1 year
Exceptional
68.5%
Exceptional
70.3%
College, 1 year or more
Exceptional
61.7%
Exceptional
64.6%
Associate's Degree
Good
47.4%
Exceptional
51.4%
Bachelor's Degree
Average
38.1%
Exceptional
42.7%
Master's Degree
Fair
14.5%
Exceptional
17.2%
Professional Degree
Average
4.4%
Exceptional
5.4%
Doctorate Degree
Good
1.9%
Exceptional
2.3%

Danish vs Bhutanese Disability

When considering disability, the most significant differences between Danish and Bhutanese communities in the United States are seen in disability age under 5 (1.5% compared to 1.2%, a difference of 26.2%), disability age 18 to 34 (7.5% compared to 6.2%, a difference of 20.4%), and disability age 5 to 17 (5.7% compared to 4.9%, a difference of 15.9%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.6%, a difference of 1.1%), ambulatory disability (5.8% compared to 5.8%, a difference of 1.5%), and disability age over 75 (46.2% compared to 47.1%, a difference of 1.9%).
Danish vs Bhutanese Disability
Disability MetricDanishBhutanese
Disability
Tragic
12.0%
Exceptional
11.2%
Males
Tragic
11.9%
Excellent
11.0%
Females
Good
12.1%
Exceptional
11.5%
Age | Under 5 years
Tragic
1.5%
Exceptional
1.2%
Age | 5 to 17 years
Fair
5.7%
Exceptional
4.9%
Age | 18 to 34 years
Tragic
7.5%
Exceptional
6.2%
Age | 35 to 64 years
Fair
11.4%
Exceptional
9.8%
Age | 65 to 74 years
Excellent
22.8%
Exceptional
21.5%
Age | Over 75 years
Exceptional
46.2%
Good
47.1%
Vision
Exceptional
2.1%
Exceptional
2.0%
Hearing
Tragic
3.6%
Tragic
3.2%
Cognitive
Exceptional
16.7%
Exceptional
16.6%
Ambulatory
Exceptional
5.8%
Exceptional
5.8%
Self-Care
Exceptional
2.3%
Exceptional
2.4%