Danish vs Japanese 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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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
Japanese
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

Japanese

Excellent
Fair
8,781
SOCIAL INDEX
85.3/ 100
SOCIAL RATING
48th/ 347
SOCIAL RANK
2,662
SOCIAL INDEX
24.2/ 100
SOCIAL RATING
248th/ 347
SOCIAL RANK

Japanese Integration in Danish Communities

The statistical analysis conducted on geographies consisting of 235,559,468 people shows a moderate positive correlation between the proportion of Japanese within Danish communities in the United States with a correlation coefficient (R) of 0.481. On average, for every 1% (one percent) increase in Danes within a typical geography, there is an increase of 0.095% in Japanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Danes corresponds to an increase of 94.8 Japanese.
Danish Integration in Japanese Communities

Danish vs Japanese Income

When considering income, the most significant differences between Danish and Japanese communities in the United States are seen in wage/income gap (31.0% compared to 23.8%, a difference of 30.1%), per capita income ($44,095 compared to $39,870, a difference of 10.6%), and median male earnings ($56,246 compared to $51,473, a difference of 9.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,041 compared to $52,365, a difference of 1.3%), median female earnings ($37,730 compared to $38,528, a difference of 2.1%), and median earnings ($46,392 compared to $44,825, a difference of 3.5%).
Danish vs Japanese Income
Income MetricDanishJapanese
Per Capita Income
Good
$44,095
Tragic
$39,870
Median Family Income
Excellent
$105,900
Tragic
$97,288
Median Household Income
Excellent
$87,676
Fair
$83,395
Median Earnings
Average
$46,392
Tragic
$44,825
Median Male Earnings
Excellent
$56,246
Tragic
$51,473
Median Female Earnings
Tragic
$37,730
Tragic
$38,528
Householder Age | Under 25 years
Excellent
$53,041
Good
$52,365
Householder Age | 25 - 44 years
Excellent
$97,221
Poor
$91,624
Householder Age | 45 - 64 years
Exceptional
$105,619
Poor
$96,834
Householder Age | Over 65 years
Exceptional
$63,117
Tragic
$57,919
Wage/Income Gap
Tragic
31.0%
Exceptional
23.8%

Danish vs Japanese Poverty

When considering poverty, the most significant differences between Danish and Japanese communities in the United States are seen in receiving food stamps (9.0% compared to 14.1%, a difference of 55.9%), seniors poverty over the age of 65 (8.8% compared to 12.2%, a difference of 38.0%), and family poverty (7.3% compared to 9.9%, a difference of 35.4%). Conversely, both communities are more comparable in terms of single mother poverty (28.5% compared to 28.9%, a difference of 1.4%), single male poverty (12.8% compared to 13.1%, a difference of 2.4%), and single female poverty (20.7% compared to 21.3%, a difference of 3.2%).
Danish vs Japanese Poverty
Poverty MetricDanishJapanese
Poverty
Exceptional
10.7%
Tragic
13.3%
Families
Exceptional
7.3%
Tragic
9.9%
Males
Exceptional
9.7%
Tragic
12.2%
Females
Exceptional
11.7%
Tragic
14.5%
Females 18 to 24 years
Good
19.8%
Exceptional
18.8%
Females 25 to 34 years
Exceptional
12.8%
Poor
14.1%
Children Under 5 years
Exceptional
14.9%
Poor
18.1%
Children Under 16 years
Exceptional
13.4%
Tragic
17.7%
Boys Under 16 years
Exceptional
13.6%
Tragic
17.7%
Girls Under 16 years
Exceptional
13.7%
Tragic
17.8%
Single Males
Average
12.8%
Poor
13.1%
Single Females
Good
20.7%
Fair
21.3%
Single Fathers
Exceptional
15.8%
Exceptional
15.2%
Single Mothers
Excellent
28.5%
Good
28.9%
Married Couples
Exceptional
4.1%
Tragic
5.6%
Seniors Over 65 years
Exceptional
8.8%
Tragic
12.2%
Seniors Over 75 years
Exceptional
10.2%
Tragic
13.3%
Receiving Food Stamps
Exceptional
9.0%
Tragic
14.1%

Danish vs Japanese Unemployment

When considering unemployment, the most significant differences between Danish and Japanese communities in the United States are seen in unemployment (4.3% compared to 5.6%, a difference of 29.9%), male unemployment (4.5% compared to 5.8%, a difference of 28.6%), and female unemployment (4.4% compared to 5.6%, a difference of 27.7%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.2% compared to 5.2%, a difference of 0.48%), unemployment among seniors over 65 years (4.9% compared to 4.9%, a difference of 1.2%), and unemployment among women with children ages 6 to 17 years (8.1% compared to 8.4%, a difference of 3.8%).
Danish vs Japanese Unemployment
Unemployment MetricDanishJapanese
Unemployment
Exceptional
4.3%
Tragic
5.6%
Males
Exceptional
4.5%
Tragic
5.8%
Females
Exceptional
4.4%
Tragic
5.6%
Youth < 25
Exceptional
10.3%
Fair
11.7%
Age | 16 to 19 years
Exceptional
15.2%
Average
17.6%
Age | 20 to 24 years
Exceptional
9.3%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
6.0%
Tragic
6.9%
Age | 30 to 34 years
Exceptional
5.0%
Tragic
5.9%
Age | 35 to 44 years
Exceptional
4.1%
Tragic
5.1%
Age | 45 to 54 years
Exceptional
3.9%
Tragic
4.7%
Age | 55 to 59 years
Exceptional
4.3%
Average
4.8%
Age | 60 to 64 years
Exceptional
4.4%
Tragic
5.1%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.2%
Seniors > 65
Exceptional
4.9%
Exceptional
4.9%
Seniors > 75
Tragic
9.7%
Exceptional
8.3%
Women w/ Children < 6
Exceptional
7.1%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.1%
Exceptional
8.4%
Women w/ Children < 18
Exceptional
4.5%
Tragic
5.7%

Danish vs Japanese Labor Participation

When considering labor participation, the most significant differences between Danish and Japanese communities in the United States are seen in in labor force | age 16-19 (44.7% compared to 37.5%, a difference of 19.1%), in labor force | age 20-24 (79.0% compared to 75.3%, a difference of 5.0%), and in labor force | age 45-54 (83.3% compared to 81.6%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.3% compared to 84.3%, a difference of 0.090%), in labor force | age 25-29 (84.8% compared to 84.3%, a difference of 0.55%), and in labor force | age > 16 (65.3% compared to 65.8%, a difference of 0.83%).
Danish vs Japanese Labor Participation
Labor Participation MetricDanishJapanese
In Labor Force | Age > 16
Good
65.3%
Exceptional
65.8%
In Labor Force | Age 20-64
Exceptional
79.9%
Tragic
79.1%
In Labor Force | Age 16-19
Exceptional
44.7%
Excellent
37.5%
In Labor Force | Age 20-24
Exceptional
79.0%
Good
75.3%
In Labor Force | Age 25-29
Good
84.8%
Poor
84.3%
In Labor Force | Age 30-34
Tragic
84.3%
Tragic
84.3%
In Labor Force | Age 35-44
Fair
84.3%
Tragic
83.6%
In Labor Force | Age 45-54
Exceptional
83.3%
Tragic
81.6%

Danish vs Japanese Family Structure

When considering family structure, the most significant differences between Danish and Japanese communities in the United States are seen in single mother households (5.5% compared to 7.4%, a difference of 33.9%), births to unmarried women (28.7% compared to 35.2%, a difference of 22.5%), and single father households (2.3% compared to 2.8%, a difference of 17.6%). Conversely, both communities are more comparable in terms of family households (66.0% compared to 65.9%, a difference of 0.20%), divorced or separated (11.9% compared to 12.0%, a difference of 0.73%), and family households with children (28.7% compared to 29.4%, a difference of 2.4%).
Danish vs Japanese Family Structure
Family Structure MetricDanishJapanese
Family Households
Exceptional
66.0%
Exceptional
65.9%
Family Households with Children
Exceptional
28.7%
Exceptional
29.4%
Married-couple Households
Exceptional
51.1%
Tragic
45.2%
Average Family Size
Tragic
3.17
Exceptional
3.35
Single Father Households
Average
2.3%
Tragic
2.8%
Single Mother Households
Exceptional
5.5%
Tragic
7.4%
Currently Married
Exceptional
50.5%
Tragic
44.5%
Divorced or Separated
Excellent
11.9%
Good
12.0%
Births to Unmarried Women
Exceptional
28.7%
Tragic
35.2%

Danish vs Japanese Vehicle Availability

When considering vehicle availability, the most significant differences between Danish and Japanese communities in the United States are seen in no vehicles in household (6.6% compared to 9.4%, a difference of 43.2%), 3 or more vehicles in household (24.7% compared to 21.8%, a difference of 13.5%), and 4 or more vehicles in household (8.6% compared to 7.7%, a difference of 11.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.5% compared to 90.6%, a difference of 3.2%), 2 or more vehicles in household (63.3% compared to 57.5%, a difference of 10.1%), and 4 or more vehicles in household (8.6% compared to 7.7%, a difference of 11.4%).
Danish vs Japanese Vehicle Availability
Vehicle Availability MetricDanishJapanese
No Vehicles Available
Exceptional
6.6%
Exceptional
9.4%
1+ Vehicles Available
Exceptional
93.5%
Exceptional
90.6%
2+ Vehicles Available
Exceptional
63.3%
Exceptional
57.5%
3+ Vehicles Available
Exceptional
24.7%
Exceptional
21.8%
4+ Vehicles Available
Exceptional
8.6%
Exceptional
7.7%

Danish vs Japanese Education Level

When considering education level, the most significant differences between Danish and Japanese communities in the United States are seen in no schooling completed (1.5% compared to 3.3%, a difference of 128.6%), doctorate degree (1.9% compared to 1.5%, a difference of 25.2%), and professional degree (4.4% compared to 3.5%, a difference of 23.0%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 96.7%, a difference of 2.0%), kindergarten (98.6% compared to 96.7%, a difference of 2.0%), and 1st grade (98.6% compared to 96.6%, a difference of 2.0%).
Danish vs Japanese Education Level
Education Level MetricDanishJapanese
No Schooling Completed
Exceptional
1.5%
Tragic
3.3%
Nursery School
Exceptional
98.6%
Tragic
96.7%
Kindergarten
Exceptional
98.6%
Tragic
96.7%
1st Grade
Exceptional
98.6%
Tragic
96.6%
2nd Grade
Exceptional
98.5%
Tragic
96.5%
3rd Grade
Exceptional
98.5%
Tragic
96.4%
4th Grade
Exceptional
98.3%
Tragic
96.0%
5th Grade
Exceptional
98.2%
Tragic
95.7%
6th Grade
Exceptional
98.0%
Tragic
95.4%
7th Grade
Exceptional
97.4%
Tragic
94.0%
8th Grade
Exceptional
97.2%
Tragic
93.6%
9th Grade
Exceptional
96.5%
Tragic
92.6%
10th Grade
Exceptional
95.7%
Tragic
91.2%
11th Grade
Exceptional
94.7%
Tragic
89.9%
12th Grade, No Diploma
Exceptional
93.5%
Tragic
88.3%
High School Diploma
Exceptional
91.8%
Tragic
85.9%
GED/Equivalency
Exceptional
88.4%
Tragic
82.4%
College, Under 1 year
Exceptional
68.5%
Tragic
61.5%
College, 1 year or more
Exceptional
61.7%
Tragic
55.2%
Associate's Degree
Good
47.4%
Tragic
41.7%
Bachelor's Degree
Average
38.1%
Tragic
33.3%
Master's Degree
Fair
14.5%
Tragic
12.5%
Professional Degree
Average
4.4%
Tragic
3.5%
Doctorate Degree
Good
1.9%
Tragic
1.5%

Danish vs Japanese Disability

When considering disability, the most significant differences between Danish and Japanese communities in the United States are seen in disability age under 5 (1.5% compared to 1.2%, a difference of 25.4%), self-care disability (2.3% compared to 2.7%, a difference of 18.8%), and hearing disability (3.6% compared to 3.0%, a difference of 18.2%). Conversely, both communities are more comparable in terms of disability (12.0% compared to 12.2%, a difference of 1.5%), male disability (11.9% compared to 11.7%, a difference of 1.6%), and female disability (12.1% compared to 12.6%, a difference of 4.3%).
Danish vs Japanese Disability
Disability MetricDanishJapanese
Disability
Tragic
12.0%
Tragic
12.2%
Males
Tragic
11.9%
Tragic
11.7%
Females
Good
12.1%
Tragic
12.6%
Age | Under 5 years
Tragic
1.5%
Exceptional
1.2%
Age | 5 to 17 years
Fair
5.7%
Tragic
6.1%
Age | 18 to 34 years
Tragic
7.5%
Poor
6.8%
Age | 35 to 64 years
Fair
11.4%
Tragic
12.3%
Age | 65 to 74 years
Excellent
22.8%
Tragic
25.7%
Age | Over 75 years
Exceptional
46.2%
Tragic
50.2%
Vision
Exceptional
2.1%
Tragic
2.4%
Hearing
Tragic
3.6%
Average
3.0%
Cognitive
Exceptional
16.7%
Tragic
18.3%
Ambulatory
Exceptional
5.8%
Poor
6.3%
Self-Care
Exceptional
2.3%
Tragic
2.7%