Immigrants from Denmark vs Japanese Community Comparison

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Immigrants from Denmark
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 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 RicaCroatiaCubaCzechoslovakiaDominicaDominican 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

Immigrants from Denmark

Japanese

Good
Fair
7,985
SOCIAL INDEX
77.3/ 100
SOCIAL RATING
95th/ 347
SOCIAL RANK
2,662
SOCIAL INDEX
24.2/ 100
SOCIAL RATING
248th/ 347
SOCIAL RANK

Japanese Integration in Immigrants from Denmark Communities

The statistical analysis conducted on geographies consisting of 103,400,388 people shows a very strong positive correlation between the proportion of Japanese within Immigrant from Denmark communities in the United States with a correlation coefficient (R) of 0.870. On average, for every 1% (one percent) increase in Immigrants from Denmark within a typical geography, there is an increase of 1.153% in Japanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Denmark corresponds to an increase of 1,153.2 Japanese.
Immigrants from Denmark Integration in Japanese Communities

Immigrants from Denmark vs Japanese Income

When considering income, the most significant differences between Immigrants from Denmark and Japanese communities in the United States are seen in per capita income ($53,799 compared to $39,870, a difference of 34.9%), median male earnings ($64,625 compared to $51,473, a difference of 25.6%), and median family income ($120,445 compared to $97,288, a difference of 23.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,612 compared to $52,365, a difference of 0.47%), median female earnings ($43,646 compared to $38,528, a difference of 13.3%), and median household income ($98,510 compared to $83,395, a difference of 18.1%).
Immigrants from Denmark vs Japanese Income
Income MetricImmigrants from DenmarkJapanese
Per Capita Income
Exceptional
$53,799
Tragic
$39,870
Median Family Income
Exceptional
$120,445
Tragic
$97,288
Median Household Income
Exceptional
$98,510
Fair
$83,395
Median Earnings
Exceptional
$53,186
Tragic
$44,825
Median Male Earnings
Exceptional
$64,625
Tragic
$51,473
Median Female Earnings
Exceptional
$43,646
Tragic
$38,528
Householder Age | Under 25 years
Good
$52,612
Good
$52,365
Householder Age | 25 - 44 years
Exceptional
$110,363
Poor
$91,624
Householder Age | 45 - 64 years
Exceptional
$116,000
Poor
$96,834
Householder Age | Over 65 years
Exceptional
$68,801
Tragic
$57,919
Wage/Income Gap
Tragic
28.5%
Exceptional
23.8%

Immigrants from Denmark vs Japanese Poverty

When considering poverty, the most significant differences between Immigrants from Denmark and Japanese communities in the United States are seen in receiving food stamps (9.6% compared to 14.1%, a difference of 46.6%), family poverty (8.0% compared to 9.9%, a difference of 24.1%), and married-couple family poverty (4.6% compared to 5.6%, a difference of 22.1%). Conversely, both communities are more comparable in terms of single male poverty (13.2% compared to 13.1%, a difference of 0.77%), single mother poverty (28.5% compared to 28.9%, a difference of 1.3%), and single female poverty (20.5% compared to 21.3%, a difference of 3.9%).
Immigrants from Denmark vs Japanese Poverty
Poverty MetricImmigrants from DenmarkJapanese
Poverty
Exceptional
11.4%
Tragic
13.3%
Families
Exceptional
8.0%
Tragic
9.9%
Males
Exceptional
10.4%
Tragic
12.2%
Females
Exceptional
12.4%
Tragic
14.5%
Females 18 to 24 years
Tragic
20.8%
Exceptional
18.8%
Females 25 to 34 years
Exceptional
12.7%
Poor
14.1%
Children Under 5 years
Exceptional
16.0%
Poor
18.1%
Children Under 16 years
Exceptional
14.9%
Tragic
17.7%
Boys Under 16 years
Exceptional
15.0%
Tragic
17.7%
Girls Under 16 years
Exceptional
15.2%
Tragic
17.8%
Single Males
Tragic
13.2%
Poor
13.1%
Single Females
Excellent
20.5%
Fair
21.3%
Single Fathers
Tragic
16.7%
Exceptional
15.2%
Single Mothers
Excellent
28.5%
Good
28.9%
Married Couples
Exceptional
4.6%
Tragic
5.6%
Seniors Over 65 years
Exceptional
10.3%
Tragic
12.2%
Seniors Over 75 years
Excellent
11.8%
Tragic
13.3%
Receiving Food Stamps
Exceptional
9.6%
Tragic
14.1%

Immigrants from Denmark vs Japanese Unemployment

When considering unemployment, the most significant differences between Immigrants from Denmark and Japanese communities in the United States are seen in male unemployment (5.1% compared to 5.8%, a difference of 12.7%), unemployment (5.1% compared to 5.6%, a difference of 10.3%), and unemployment among ages 35 to 44 years (4.6% compared to 5.1%, a difference of 9.8%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.6% compared to 11.7%, a difference of 0.62%), unemployment among ages 16 to 19 years (17.5% compared to 17.6%, a difference of 0.82%), and unemployment among ages 60 to 64 years (5.0% compared to 5.1%, a difference of 2.0%).
Immigrants from Denmark vs Japanese Unemployment
Unemployment MetricImmigrants from DenmarkJapanese
Unemployment
Excellent
5.1%
Tragic
5.6%
Males
Excellent
5.1%
Tragic
5.8%
Females
Average
5.2%
Tragic
5.6%
Youth < 25
Average
11.6%
Fair
11.7%
Age | 16 to 19 years
Good
17.5%
Average
17.6%
Age | 20 to 24 years
Fair
10.4%
Exceptional
10.0%
Age | 25 to 29 years
Poor
6.8%
Tragic
6.9%
Age | 30 to 34 years
Average
5.5%
Tragic
5.9%
Age | 35 to 44 years
Good
4.6%
Tragic
5.1%
Age | 45 to 54 years
Poor
4.6%
Tragic
4.7%
Age | 55 to 59 years
Poor
4.9%
Average
4.8%
Age | 60 to 64 years
Tragic
5.0%
Tragic
5.1%
Age | 65 to 74 years
Fair
5.4%
Exceptional
5.2%
Seniors > 65
Fair
5.2%
Exceptional
4.9%
Seniors > 75
Exceptional
7.8%
Exceptional
8.3%
Women w/ Children < 6
Exceptional
7.1%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.7%
Exceptional
8.4%
Women w/ Children < 18
Average
5.4%
Tragic
5.7%

Immigrants from Denmark vs Japanese Labor Participation

When considering labor participation, the most significant differences between Immigrants from Denmark and Japanese communities in the United States are seen in in labor force | age 16-19 (36.1% compared to 37.5%, a difference of 4.1%), in labor force | age > 16 (64.8% compared to 65.8%, a difference of 1.5%), and in labor force | age 45-54 (82.5% compared to 81.6%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.6% compared to 84.3%, a difference of 0.28%), in labor force | age 20-64 (79.4% compared to 79.1%, a difference of 0.44%), and in labor force | age 20-24 (74.8% compared to 75.3%, a difference of 0.68%).
Immigrants from Denmark vs Japanese Labor Participation
Labor Participation MetricImmigrants from DenmarkJapanese
In Labor Force | Age > 16
Poor
64.8%
Exceptional
65.8%
In Labor Force | Age 20-64
Fair
79.4%
Tragic
79.1%
In Labor Force | Age 16-19
Fair
36.1%
Excellent
37.5%
In Labor Force | Age 20-24
Fair
74.8%
Good
75.3%
In Labor Force | Age 25-29
Fair
84.6%
Poor
84.3%
In Labor Force | Age 30-34
Exceptional
85.1%
Tragic
84.3%
In Labor Force | Age 35-44
Fair
84.3%
Tragic
83.6%
In Labor Force | Age 45-54
Poor
82.5%
Tragic
81.6%

Immigrants from Denmark vs Japanese Family Structure

When considering family structure, the most significant differences between Immigrants from Denmark and Japanese communities in the United States are seen in single mother households (5.5% compared to 7.4%, a difference of 34.4%), single father households (2.1% compared to 2.8%, a difference of 33.5%), and births to unmarried women (29.4% compared to 35.2%, a difference of 19.5%). Conversely, both communities are more comparable in terms of divorced or separated (11.6% compared to 12.0%, a difference of 3.3%), married-couple households (47.3% compared to 45.2%, a difference of 4.6%), and family households (62.9% compared to 65.9%, a difference of 4.8%).
Immigrants from Denmark vs Japanese Family Structure
Family Structure MetricImmigrants from DenmarkJapanese
Family Households
Tragic
62.9%
Exceptional
65.9%
Family Households with Children
Tragic
26.7%
Exceptional
29.4%
Married-couple Households
Excellent
47.3%
Tragic
45.2%
Average Family Size
Tragic
3.15
Exceptional
3.35
Single Father Households
Exceptional
2.1%
Tragic
2.8%
Single Mother Households
Exceptional
5.5%
Tragic
7.4%
Currently Married
Exceptional
47.6%
Tragic
44.5%
Divorced or Separated
Exceptional
11.6%
Good
12.0%
Births to Unmarried Women
Exceptional
29.4%
Tragic
35.2%

Immigrants from Denmark vs Japanese Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Denmark and Japanese communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 7.7%, a difference of 20.6%), no vehicles in household (11.1% compared to 9.4%, a difference of 17.7%), and 3 or more vehicles in household (19.6% compared to 21.8%, a difference of 11.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.1% compared to 90.6%, a difference of 1.7%), 2 or more vehicles in household (55.3% compared to 57.5%, a difference of 3.9%), and 3 or more vehicles in household (19.6% compared to 21.8%, a difference of 11.1%).
Immigrants from Denmark vs Japanese Vehicle Availability
Vehicle Availability MetricImmigrants from DenmarkJapanese
No Vehicles Available
Poor
11.1%
Exceptional
9.4%
1+ Vehicles Available
Poor
89.1%
Exceptional
90.6%
2+ Vehicles Available
Average
55.3%
Exceptional
57.5%
3+ Vehicles Available
Average
19.6%
Exceptional
21.8%
4+ Vehicles Available
Average
6.4%
Exceptional
7.7%

Immigrants from Denmark vs Japanese Education Level

When considering education level, the most significant differences between Immigrants from Denmark and Japanese communities in the United States are seen in no schooling completed (1.7% compared to 3.3%, a difference of 91.4%), doctorate degree (2.8% compared to 1.5%, a difference of 81.5%), and professional degree (6.4% compared to 3.5%, a difference of 81.0%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 96.7%, a difference of 1.7%), kindergarten (98.3% compared to 96.7%, a difference of 1.7%), and 1st grade (98.3% compared to 96.6%, a difference of 1.7%).
Immigrants from Denmark vs Japanese Education Level
Education Level MetricImmigrants from DenmarkJapanese
No Schooling Completed
Exceptional
1.7%
Tragic
3.3%
Nursery School
Exceptional
98.3%
Tragic
96.7%
Kindergarten
Exceptional
98.3%
Tragic
96.7%
1st Grade
Exceptional
98.3%
Tragic
96.6%
2nd Grade
Exceptional
98.2%
Tragic
96.5%
3rd Grade
Exceptional
98.1%
Tragic
96.4%
4th Grade
Exceptional
97.9%
Tragic
96.0%
5th Grade
Exceptional
97.8%
Tragic
95.7%
6th Grade
Exceptional
97.5%
Tragic
95.4%
7th Grade
Exceptional
96.7%
Tragic
94.0%
8th Grade
Exceptional
96.4%
Tragic
93.6%
9th Grade
Exceptional
95.7%
Tragic
92.6%
10th Grade
Exceptional
94.7%
Tragic
91.2%
11th Grade
Exceptional
93.7%
Tragic
89.9%
12th Grade, No Diploma
Exceptional
92.5%
Tragic
88.3%
High School Diploma
Exceptional
90.8%
Tragic
85.9%
GED/Equivalency
Exceptional
88.0%
Tragic
82.4%
College, Under 1 year
Exceptional
71.0%
Tragic
61.5%
College, 1 year or more
Exceptional
65.6%
Tragic
55.2%
Associate's Degree
Exceptional
53.1%
Tragic
41.7%
Bachelor's Degree
Exceptional
45.4%
Tragic
33.3%
Master's Degree
Exceptional
19.5%
Tragic
12.5%
Professional Degree
Exceptional
6.4%
Tragic
3.5%
Doctorate Degree
Exceptional
2.8%
Tragic
1.5%

Immigrants from Denmark vs Japanese Disability

When considering disability, the most significant differences between Immigrants from Denmark and Japanese communities in the United States are seen in disability age 65 to 74 (21.5% compared to 25.7%, a difference of 19.6%), disability age 35 to 64 (10.3% compared to 12.3%, a difference of 19.4%), and self-care disability (2.3% compared to 2.7%, a difference of 14.7%). Conversely, both communities are more comparable in terms of hearing disability (3.1% compared to 3.0%, a difference of 3.5%), disability age under 5 (1.1% compared to 1.2%, a difference of 4.3%), and disability age 18 to 34 (6.5% compared to 6.8%, a difference of 5.0%).
Immigrants from Denmark vs Japanese Disability
Disability MetricImmigrants from DenmarkJapanese
Disability
Exceptional
11.3%
Tragic
12.2%
Males
Good
11.0%
Tragic
11.7%
Females
Exceptional
11.6%
Tragic
12.6%
Age | Under 5 years
Exceptional
1.1%
Exceptional
1.2%
Age | 5 to 17 years
Exceptional
5.4%
Tragic
6.1%
Age | 18 to 34 years
Good
6.5%
Poor
6.8%
Age | 35 to 64 years
Exceptional
10.3%
Tragic
12.3%
Age | 65 to 74 years
Exceptional
21.5%
Tragic
25.7%
Age | Over 75 years
Exceptional
45.4%
Tragic
50.2%
Vision
Exceptional
2.1%
Tragic
2.4%
Hearing
Poor
3.1%
Average
3.0%
Cognitive
Exceptional
16.9%
Tragic
18.3%
Ambulatory
Exceptional
5.8%
Poor
6.3%
Self-Care
Exceptional
2.3%
Tragic
2.7%