Danish vs Burmese Community Comparison

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Danish
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianCajunCambodianCanadianCape 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
Burmese
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

Burmese

Excellent
Exceptional
8,781
SOCIAL INDEX
85.3/ 100
SOCIAL RATING
48th/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Danish Communities

The statistical analysis conducted on geographies consisting of 415,570,263 people shows a substantial positive correlation between the proportion of Burmese within Danish communities in the United States with a correlation coefficient (R) of 0.531. On average, for every 1% (one percent) increase in Danes within a typical geography, there is an increase of 0.192% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Danes corresponds to an increase of 191.7 Burmese.
Danish Integration in Burmese Communities

Danish vs Burmese Income

When considering income, the most significant differences between Danish and Burmese communities in the United States are seen in median female earnings ($37,730 compared to $44,911, a difference of 19.0%), per capita income ($44,095 compared to $52,005, a difference of 17.9%), and median household income ($87,676 compared to $103,145, a difference of 17.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,041 compared to $54,800, a difference of 3.3%), wage/income gap (31.0% compared to 28.0%, a difference of 10.5%), and householder income over 65 years ($63,117 compared to $71,139, a difference of 12.7%).
Danish vs Burmese Income
Income MetricDanishBurmese
Per Capita Income
Good
$44,095
Exceptional
$52,005
Median Family Income
Excellent
$105,900
Exceptional
$123,369
Median Household Income
Excellent
$87,676
Exceptional
$103,145
Median Earnings
Average
$46,392
Exceptional
$54,559
Median Male Earnings
Excellent
$56,246
Exceptional
$65,236
Median Female Earnings
Tragic
$37,730
Exceptional
$44,911
Householder Age | Under 25 years
Excellent
$53,041
Exceptional
$54,800
Householder Age | 25 - 44 years
Excellent
$97,221
Exceptional
$113,701
Householder Age | 45 - 64 years
Exceptional
$105,619
Exceptional
$121,444
Householder Age | Over 65 years
Exceptional
$63,117
Exceptional
$71,139
Wage/Income Gap
Tragic
31.0%
Tragic
28.0%

Danish vs Burmese Poverty

When considering poverty, the most significant differences between Danish and Burmese communities in the United States are seen in seniors poverty over the age of 65 (8.8% compared to 10.1%, a difference of 14.4%), seniors poverty over the age of 75 (10.2% compared to 11.7%, a difference of 14.2%), and female poverty among 25-34 year olds (12.8% compared to 11.2%, a difference of 14.2%). Conversely, both communities are more comparable in terms of male poverty (9.7% compared to 9.7%, a difference of 0.13%), family poverty (7.3% compared to 7.3%, a difference of 0.32%), and poverty (10.7% compared to 10.7%, a difference of 0.53%).
Danish vs Burmese Poverty
Poverty MetricDanishBurmese
Poverty
Exceptional
10.7%
Exceptional
10.7%
Families
Exceptional
7.3%
Exceptional
7.3%
Males
Exceptional
9.7%
Exceptional
9.7%
Females
Exceptional
11.7%
Exceptional
11.6%
Females 18 to 24 years
Good
19.8%
Exceptional
18.9%
Females 25 to 34 years
Exceptional
12.8%
Exceptional
11.2%
Children Under 5 years
Exceptional
14.9%
Exceptional
13.2%
Children Under 16 years
Exceptional
13.4%
Exceptional
12.8%
Boys Under 16 years
Exceptional
13.6%
Exceptional
13.0%
Girls Under 16 years
Exceptional
13.7%
Exceptional
13.0%
Single Males
Average
12.8%
Exceptional
11.7%
Single Females
Good
20.7%
Exceptional
18.3%
Single Fathers
Exceptional
15.8%
Exceptional
15.5%
Single Mothers
Excellent
28.5%
Exceptional
26.2%
Married Couples
Exceptional
4.1%
Exceptional
4.3%
Seniors Over 65 years
Exceptional
8.8%
Exceptional
10.1%
Seniors Over 75 years
Exceptional
10.2%
Excellent
11.7%
Receiving Food Stamps
Exceptional
9.0%
Exceptional
8.6%

Danish vs Burmese Unemployment

When considering unemployment, the most significant differences between Danish and Burmese communities in the United States are seen in unemployment among seniors over 75 years (9.7% compared to 8.2%, a difference of 18.4%), female unemployment (4.4% compared to 5.0%, a difference of 14.2%), and unemployment (4.3% compared to 4.9%, a difference of 13.3%). 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 0.47%), unemployment among women with children ages 6 to 17 years (8.1% compared to 8.0%, a difference of 2.3%), and unemployment among seniors over 65 years (4.9% compared to 5.0%, a difference of 2.4%).
Danish vs Burmese Unemployment
Unemployment MetricDanishBurmese
Unemployment
Exceptional
4.3%
Exceptional
4.9%
Males
Exceptional
4.5%
Exceptional
4.9%
Females
Exceptional
4.4%
Exceptional
5.0%
Youth < 25
Exceptional
10.3%
Excellent
11.3%
Age | 16 to 19 years
Exceptional
15.2%
Exceptional
17.0%
Age | 20 to 24 years
Exceptional
9.3%
Excellent
10.2%
Age | 25 to 29 years
Exceptional
6.0%
Exceptional
6.2%
Age | 30 to 34 years
Exceptional
5.0%
Exceptional
5.1%
Age | 35 to 44 years
Exceptional
4.1%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
3.9%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.3%
Exceptional
4.5%
Age | 60 to 64 years
Exceptional
4.4%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.2%
Seniors > 65
Exceptional
4.9%
Exceptional
5.0%
Seniors > 75
Tragic
9.7%
Exceptional
8.2%
Women w/ Children < 6
Exceptional
7.1%
Exceptional
6.5%
Women w/ Children 6 to 17
Exceptional
8.1%
Exceptional
8.0%
Women w/ Children < 18
Exceptional
4.5%
Exceptional
4.9%

Danish vs Burmese Labor Participation

When considering labor participation, the most significant differences between Danish and Burmese communities in the United States are seen in in labor force | age 16-19 (44.7% compared to 34.5%, a difference of 29.6%), in labor force | age 20-24 (79.0% compared to 73.6%, a difference of 7.4%), and in labor force | age > 16 (65.3% compared to 66.2%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.3% compared to 83.6%, a difference of 0.37%), in labor force | age 20-64 (79.9% compared to 80.3%, a difference of 0.41%), and in labor force | age 25-29 (84.8% compared to 85.1%, a difference of 0.41%).
Danish vs Burmese Labor Participation
Labor Participation MetricDanishBurmese
In Labor Force | Age > 16
Good
65.3%
Exceptional
66.2%
In Labor Force | Age 20-64
Exceptional
79.9%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
44.7%
Tragic
34.5%
In Labor Force | Age 20-24
Exceptional
79.0%
Tragic
73.6%
In Labor Force | Age 25-29
Good
84.8%
Exceptional
85.1%
In Labor Force | Age 30-34
Tragic
84.3%
Exceptional
85.3%
In Labor Force | Age 35-44
Fair
84.3%
Exceptional
84.7%
In Labor Force | Age 45-54
Exceptional
83.3%
Exceptional
83.6%

Danish vs Burmese Family Structure

When considering family structure, the most significant differences between Danish and Burmese communities in the United States are seen in single father households (2.3% compared to 2.0%, a difference of 15.1%), divorced or separated (11.9% compared to 10.7%, a difference of 10.8%), and births to unmarried women (28.7% compared to 26.4%, a difference of 8.8%). Conversely, both communities are more comparable in terms of family households (66.0% compared to 65.7%, a difference of 0.42%), family households with children (28.7% compared to 28.5%, a difference of 0.88%), and average family size (3.17 compared to 3.22, a difference of 1.3%).
Danish vs Burmese Family Structure
Family Structure MetricDanishBurmese
Family Households
Exceptional
66.0%
Exceptional
65.7%
Family Households with Children
Exceptional
28.7%
Exceptional
28.5%
Married-couple Households
Exceptional
51.1%
Exceptional
49.8%
Average Family Size
Tragic
3.17
Fair
3.22
Single Father Households
Average
2.3%
Exceptional
2.0%
Single Mother Households
Exceptional
5.5%
Exceptional
5.3%
Currently Married
Exceptional
50.5%
Exceptional
48.9%
Divorced or Separated
Excellent
11.9%
Exceptional
10.7%
Births to Unmarried Women
Exceptional
28.7%
Exceptional
26.4%

Danish vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Danish and Burmese communities in the United States are seen in no vehicles in household (6.6% compared to 9.7%, a difference of 46.9%), 4 or more vehicles in household (8.6% compared to 6.8%, a difference of 25.6%), and 3 or more vehicles in household (24.7% compared to 20.6%, a difference of 19.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.5% compared to 90.4%, a difference of 3.5%), 2 or more vehicles in household (63.3% compared to 57.8%, a difference of 9.5%), and 3 or more vehicles in household (24.7% compared to 20.6%, a difference of 19.7%).
Danish vs Burmese Vehicle Availability
Vehicle Availability MetricDanishBurmese
No Vehicles Available
Exceptional
6.6%
Excellent
9.7%
1+ Vehicles Available
Exceptional
93.5%
Excellent
90.4%
2+ Vehicles Available
Exceptional
63.3%
Exceptional
57.8%
3+ Vehicles Available
Exceptional
24.7%
Exceptional
20.6%
4+ Vehicles Available
Exceptional
8.6%
Exceptional
6.8%

Danish vs Burmese Education Level

When considering education level, the most significant differences between Danish and Burmese communities in the United States are seen in professional degree (4.4% compared to 6.1%, a difference of 40.8%), doctorate degree (1.9% compared to 2.6%, a difference of 38.6%), and master's degree (14.5% compared to 19.7%, a difference of 35.4%). Conversely, both communities are more comparable in terms of ged/equivalency (88.4% compared to 88.3%, a difference of 0.14%), nursery school (98.6% compared to 98.1%, a difference of 0.54%), and kindergarten (98.6% compared to 98.1%, a difference of 0.55%).
Danish vs Burmese Education Level
Education Level MetricDanishBurmese
No Schooling Completed
Exceptional
1.5%
Excellent
1.9%
Nursery School
Exceptional
98.6%
Excellent
98.1%
Kindergarten
Exceptional
98.6%
Excellent
98.1%
1st Grade
Exceptional
98.6%
Excellent
98.0%
2nd Grade
Exceptional
98.5%
Excellent
98.0%
3rd Grade
Exceptional
98.5%
Good
97.9%
4th Grade
Exceptional
98.3%
Excellent
97.7%
5th Grade
Exceptional
98.2%
Excellent
97.5%
6th Grade
Exceptional
98.0%
Excellent
97.3%
7th Grade
Exceptional
97.4%
Excellent
96.3%
8th Grade
Exceptional
97.2%
Exceptional
96.1%
9th Grade
Exceptional
96.5%
Exceptional
95.4%
10th Grade
Exceptional
95.7%
Exceptional
94.5%
11th Grade
Exceptional
94.7%
Exceptional
93.6%
12th Grade, No Diploma
Exceptional
93.5%
Exceptional
92.6%
High School Diploma
Exceptional
91.8%
Exceptional
90.8%
GED/Equivalency
Exceptional
88.4%
Exceptional
88.3%
College, Under 1 year
Exceptional
68.5%
Exceptional
71.9%
College, 1 year or more
Exceptional
61.7%
Exceptional
66.7%
Associate's Degree
Good
47.4%
Exceptional
54.6%
Bachelor's Degree
Average
38.1%
Exceptional
46.9%
Master's Degree
Fair
14.5%
Exceptional
19.7%
Professional Degree
Average
4.4%
Exceptional
6.1%
Doctorate Degree
Good
1.9%
Exceptional
2.6%

Danish vs Burmese Disability

When considering disability, the most significant differences between Danish and Burmese communities in the United States are seen in disability age under 5 (1.5% compared to 1.1%, a difference of 31.5%), hearing disability (3.6% compared to 2.8%, a difference of 27.0%), and disability age 18 to 34 (7.5% compared to 6.0%, a difference of 25.1%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 0.070%), cognitive disability (16.7% compared to 16.7%, a difference of 0.44%), and disability age over 75 (46.2% compared to 45.9%, a difference of 0.65%).
Danish vs Burmese Disability
Disability MetricDanishBurmese
Disability
Tragic
12.0%
Exceptional
10.4%
Males
Tragic
11.9%
Exceptional
10.0%
Females
Good
12.1%
Exceptional
10.7%
Age | Under 5 years
Tragic
1.5%
Exceptional
1.1%
Age | 5 to 17 years
Fair
5.7%
Exceptional
4.8%
Age | 18 to 34 years
Tragic
7.5%
Exceptional
6.0%
Age | 35 to 64 years
Fair
11.4%
Exceptional
9.2%
Age | 65 to 74 years
Excellent
22.8%
Exceptional
20.6%
Age | Over 75 years
Exceptional
46.2%
Exceptional
45.9%
Vision
Exceptional
2.1%
Exceptional
1.8%
Hearing
Tragic
3.6%
Exceptional
2.8%
Cognitive
Exceptional
16.7%
Exceptional
16.7%
Ambulatory
Exceptional
5.8%
Exceptional
5.3%
Self-Care
Exceptional
2.3%
Exceptional
2.3%