Danish vs Czech Community Comparison

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Danish
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechoslovakianDanishDelawareDominicanDutchDutch 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
Czech
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

Czechs

Excellent
Excellent
8,781
SOCIAL INDEX
85.3/ 100
SOCIAL RATING
48th/ 347
SOCIAL RANK
8,484
SOCIAL INDEX
82.3/ 100
SOCIAL RATING
70th/ 347
SOCIAL RANK

Czech Integration in Danish Communities

The statistical analysis conducted on geographies consisting of 433,945,942 people shows a substantial positive correlation between the proportion of Czechs within Danish communities in the United States with a correlation coefficient (R) of 0.515. On average, for every 1% (one percent) increase in Danes within a typical geography, there is an increase of 0.147% in Czechs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Danes corresponds to an increase of 146.8 Czechs.
Danish Integration in Czech Communities

Danish vs Czech Income

When considering income, the most significant differences between Danish and Czech communities in the United States are seen in wage/income gap (31.0% compared to 29.2%, a difference of 6.1%), median female earnings ($37,730 compared to $38,992, a difference of 3.3%), and householder income under 25 years ($53,041 compared to $51,421, a difference of 3.2%). Conversely, both communities are more comparable in terms of median family income ($105,900 compared to $105,839, a difference of 0.060%), median male earnings ($56,246 compared to $56,546, a difference of 0.53%), and householder income ages 25 - 44 years ($97,221 compared to $96,525, a difference of 0.72%).
Danish vs Czech Income
Income MetricDanishCzech
Per Capita Income
Good
$44,095
Good
$44,595
Median Family Income
Excellent
$105,900
Excellent
$105,839
Median Household Income
Excellent
$87,676
Good
$86,164
Median Earnings
Average
$46,392
Good
$47,221
Median Male Earnings
Excellent
$56,246
Excellent
$56,546
Median Female Earnings
Tragic
$37,730
Poor
$38,992
Householder Age | Under 25 years
Excellent
$53,041
Poor
$51,421
Householder Age | 25 - 44 years
Excellent
$97,221
Good
$96,525
Householder Age | 45 - 64 years
Exceptional
$105,619
Excellent
$103,507
Householder Age | Over 65 years
Exceptional
$63,117
Average
$61,244
Wage/Income Gap
Tragic
31.0%
Tragic
29.2%

Danish vs Czech Poverty

When considering poverty, the most significant differences between Danish and Czech communities in the United States are seen in single father poverty (15.8% compared to 17.0%, a difference of 7.5%), single male poverty (12.8% compared to 13.5%, a difference of 5.9%), and child poverty under the age of 5 (14.9% compared to 15.5%, a difference of 4.1%). Conversely, both communities are more comparable in terms of male poverty (9.7% compared to 9.8%, a difference of 1.1%), poverty (10.7% compared to 10.8%, a difference of 1.1%), and female poverty (11.7% compared to 11.9%, a difference of 1.1%).
Danish vs Czech Poverty
Poverty MetricDanishCzech
Poverty
Exceptional
10.7%
Exceptional
10.8%
Families
Exceptional
7.3%
Exceptional
7.4%
Males
Exceptional
9.7%
Exceptional
9.8%
Females
Exceptional
11.7%
Exceptional
11.9%
Females 18 to 24 years
Good
19.8%
Fair
20.4%
Females 25 to 34 years
Exceptional
12.8%
Exceptional
12.9%
Children Under 5 years
Exceptional
14.9%
Exceptional
15.5%
Children Under 16 years
Exceptional
13.4%
Exceptional
13.8%
Boys Under 16 years
Exceptional
13.6%
Exceptional
14.1%
Girls Under 16 years
Exceptional
13.7%
Exceptional
14.2%
Single Males
Average
12.8%
Tragic
13.5%
Single Females
Good
20.7%
Average
21.0%
Single Fathers
Exceptional
15.8%
Tragic
17.0%
Single Mothers
Excellent
28.5%
Good
28.9%
Married Couples
Exceptional
4.1%
Exceptional
4.0%
Seniors Over 65 years
Exceptional
8.8%
Exceptional
9.0%
Seniors Over 75 years
Exceptional
10.2%
Exceptional
10.5%
Receiving Food Stamps
Exceptional
9.0%
Exceptional
9.2%

Danish vs Czech Unemployment

When considering unemployment, the most significant differences between Danish and Czech communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.1% compared to 8.7%, a difference of 6.7%), unemployment among women with children under 6 years (7.1% compared to 7.6%, a difference of 6.4%), and unemployment among ages 65 to 74 years (5.2% compared to 5.0%, a difference of 4.9%). Conversely, both communities are more comparable in terms of female unemployment (4.4% compared to 4.4%, a difference of 0.040%), unemployment (4.3% compared to 4.3%, a difference of 0.15%), and unemployment among youth under 25 years (10.3% compared to 10.3%, a difference of 0.16%).
Danish vs Czech Unemployment
Unemployment MetricDanishCzech
Unemployment
Exceptional
4.3%
Exceptional
4.3%
Males
Exceptional
4.5%
Exceptional
4.5%
Females
Exceptional
4.4%
Exceptional
4.4%
Youth < 25
Exceptional
10.3%
Exceptional
10.3%
Age | 16 to 19 years
Exceptional
15.2%
Exceptional
15.4%
Age | 20 to 24 years
Exceptional
9.3%
Exceptional
9.3%
Age | 25 to 29 years
Exceptional
6.0%
Exceptional
6.2%
Age | 30 to 34 years
Exceptional
5.0%
Exceptional
5.0%
Age | 35 to 44 years
Exceptional
4.1%
Exceptional
4.1%
Age | 45 to 54 years
Exceptional
3.9%
Exceptional
4.0%
Age | 55 to 59 years
Exceptional
4.3%
Exceptional
4.4%
Age | 60 to 64 years
Exceptional
4.4%
Exceptional
4.4%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.0%
Seniors > 65
Exceptional
4.9%
Exceptional
4.7%
Seniors > 75
Tragic
9.7%
Tragic
9.7%
Women w/ Children < 6
Exceptional
7.1%
Average
7.6%
Women w/ Children 6 to 17
Exceptional
8.1%
Exceptional
8.7%
Women w/ Children < 18
Exceptional
4.5%
Exceptional
4.7%

Danish vs Czech Labor Participation

When considering labor participation, the most significant differences between Danish and Czech communities in the United States are seen in in labor force | age 16-19 (44.7% compared to 43.6%, a difference of 2.4%), in labor force | age 30-34 (84.3% compared to 85.5%, a difference of 1.5%), and in labor force | age 35-44 (84.3% compared to 85.3%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.3% compared to 65.4%, a difference of 0.19%), in labor force | age 20-24 (79.0% compared to 78.5%, a difference of 0.59%), and in labor force | age 20-64 (79.9% compared to 80.5%, a difference of 0.72%).
Danish vs Czech Labor Participation
Labor Participation MetricDanishCzech
In Labor Force | Age > 16
Good
65.3%
Excellent
65.4%
In Labor Force | Age 20-64
Exceptional
79.9%
Exceptional
80.5%
In Labor Force | Age 16-19
Exceptional
44.7%
Exceptional
43.6%
In Labor Force | Age 20-24
Exceptional
79.0%
Exceptional
78.5%
In Labor Force | Age 25-29
Good
84.8%
Exceptional
85.6%
In Labor Force | Age 30-34
Tragic
84.3%
Exceptional
85.5%
In Labor Force | Age 35-44
Fair
84.3%
Exceptional
85.3%
In Labor Force | Age 45-54
Exceptional
83.3%
Exceptional
83.9%

Danish vs Czech Family Structure

When considering family structure, the most significant differences between Danish and Czech communities in the United States are seen in births to unmarried women (28.7% compared to 30.5%, a difference of 6.4%), family households with children (28.7% compared to 27.5%, a difference of 4.4%), and married-couple households (51.1% compared to 49.4%, a difference of 3.3%). Conversely, both communities are more comparable in terms of divorced or separated (11.9% compared to 11.9%, a difference of 0.48%), single father households (2.3% compared to 2.3%, a difference of 1.1%), and currently married (50.5% compared to 49.9%, a difference of 1.2%).
Danish vs Czech Family Structure
Family Structure MetricDanishCzech
Family Households
Exceptional
66.0%
Good
64.5%
Family Households with Children
Exceptional
28.7%
Good
27.5%
Married-couple Households
Exceptional
51.1%
Exceptional
49.4%
Average Family Size
Tragic
3.17
Tragic
3.11
Single Father Households
Average
2.3%
Good
2.3%
Single Mother Households
Exceptional
5.5%
Exceptional
5.6%
Currently Married
Exceptional
50.5%
Exceptional
49.9%
Divorced or Separated
Excellent
11.9%
Good
11.9%
Births to Unmarried Women
Exceptional
28.7%
Excellent
30.5%

Danish vs Czech Vehicle Availability

When considering vehicle availability, the most significant differences between Danish and Czech communities in the United States are seen in 4 or more vehicles in household (8.6% compared to 7.4%, a difference of 16.6%), 3 or more vehicles in household (24.7% compared to 22.5%, a difference of 9.8%), and no vehicles in household (6.6% compared to 6.9%, a difference of 4.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.5% compared to 93.3%, a difference of 0.31%), 2 or more vehicles in household (63.3% compared to 61.5%, a difference of 2.9%), and no vehicles in household (6.6% compared to 6.9%, a difference of 4.5%).
Danish vs Czech Vehicle Availability
Vehicle Availability MetricDanishCzech
No Vehicles Available
Exceptional
6.6%
Exceptional
6.9%
1+ Vehicles Available
Exceptional
93.5%
Exceptional
93.3%
2+ Vehicles Available
Exceptional
63.3%
Exceptional
61.5%
3+ Vehicles Available
Exceptional
24.7%
Exceptional
22.5%
4+ Vehicles Available
Exceptional
8.6%
Exceptional
7.4%

Danish vs Czech Education Level

When considering education level, the most significant differences between Danish and Czech communities in the United States are seen in college, under 1 year (68.5% compared to 67.1%, a difference of 2.1%), no schooling completed (1.5% compared to 1.5%, a difference of 1.9%), and college, 1 year or more (61.7% compared to 60.6%, a difference of 1.8%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.6%, a difference of 0.030%), 4th grade (98.3% compared to 98.3%, a difference of 0.030%), and 5th grade (98.2% compared to 98.2%, a difference of 0.030%).
Danish vs Czech Education Level
Education Level MetricDanishCzech
No Schooling Completed
Exceptional
1.5%
Exceptional
1.5%
Nursery School
Exceptional
98.6%
Exceptional
98.6%
Kindergarten
Exceptional
98.6%
Exceptional
98.6%
1st Grade
Exceptional
98.6%
Exceptional
98.5%
2nd Grade
Exceptional
98.5%
Exceptional
98.5%
3rd Grade
Exceptional
98.5%
Exceptional
98.4%
4th Grade
Exceptional
98.3%
Exceptional
98.3%
5th Grade
Exceptional
98.2%
Exceptional
98.2%
6th Grade
Exceptional
98.0%
Exceptional
98.0%
7th Grade
Exceptional
97.4%
Exceptional
97.4%
8th Grade
Exceptional
97.2%
Exceptional
97.1%
9th Grade
Exceptional
96.5%
Exceptional
96.4%
10th Grade
Exceptional
95.7%
Exceptional
95.5%
11th Grade
Exceptional
94.7%
Exceptional
94.4%
12th Grade, No Diploma
Exceptional
93.5%
Exceptional
93.2%
High School Diploma
Exceptional
91.8%
Exceptional
91.6%
GED/Equivalency
Exceptional
88.4%
Exceptional
88.1%
College, Under 1 year
Exceptional
68.5%
Exceptional
67.1%
College, 1 year or more
Exceptional
61.7%
Excellent
60.6%
Associate's Degree
Good
47.4%
Good
47.2%
Bachelor's Degree
Average
38.1%
Average
38.0%
Master's Degree
Fair
14.5%
Average
14.7%
Professional Degree
Average
4.4%
Average
4.4%
Doctorate Degree
Good
1.9%
Good
1.9%

Danish vs Czech Disability

When considering disability, the most significant differences between Danish and Czech communities in the United States are seen in disability age under 5 (1.5% compared to 1.5%, a difference of 5.0%), disability age 18 to 34 (7.5% compared to 7.2%, a difference of 3.4%), and ambulatory disability (5.8% compared to 6.0%, a difference of 2.4%). Conversely, both communities are more comparable in terms of disability (12.0% compared to 12.0%, a difference of 0.13%), male disability (11.9% compared to 11.9%, a difference of 0.23%), and female disability (12.1% compared to 12.1%, a difference of 0.39%).
Danish vs Czech Disability
Disability MetricDanishCzech
Disability
Tragic
12.0%
Tragic
12.0%
Males
Tragic
11.9%
Tragic
11.9%
Females
Good
12.1%
Good
12.1%
Age | Under 5 years
Tragic
1.5%
Tragic
1.5%
Age | 5 to 17 years
Fair
5.7%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.5%
Tragic
7.2%
Age | 35 to 64 years
Fair
11.4%
Average
11.3%
Age | 65 to 74 years
Excellent
22.8%
Exceptional
22.4%
Age | Over 75 years
Exceptional
46.2%
Exceptional
45.7%
Vision
Exceptional
2.1%
Excellent
2.1%
Hearing
Tragic
3.6%
Tragic
3.5%
Cognitive
Exceptional
16.7%
Exceptional
16.4%
Ambulatory
Exceptional
5.8%
Excellent
6.0%
Self-Care
Exceptional
2.3%
Exceptional
2.3%