Danish vs Zimbabwean Community Comparison

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Danish
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAmericanApacheArabArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'ik
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
Zimbabwean
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

Zimbabweans

Excellent
Exceptional
8,781
SOCIAL INDEX
85.3/ 100
SOCIAL RATING
48th/ 347
SOCIAL RANK
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK

Zimbabwean Integration in Danish Communities

The statistical analysis conducted on geographies consisting of 67,808,406 people shows a significant positive correlation between the proportion of Zimbabweans within Danish communities in the United States with a correlation coefficient (R) of 0.609. On average, for every 1% (one percent) increase in Danes within a typical geography, there is an increase of 0.022% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Danes corresponds to an increase of 22.5 Zimbabweans.
Danish Integration in Zimbabwean Communities

Danish vs Zimbabwean Income

When considering income, the most significant differences between Danish and Zimbabwean communities in the United States are seen in wage/income gap (31.0% compared to 26.3%, a difference of 17.7%), median female earnings ($37,730 compared to $40,798, a difference of 8.1%), and householder income over 65 years ($63,117 compared to $65,854, a difference of 4.3%). Conversely, both communities are more comparable in terms of median male earnings ($56,246 compared to $56,302, a difference of 0.10%), householder income ages 45 - 64 years ($105,619 compared to $106,849, a difference of 1.2%), and householder income ages 25 - 44 years ($97,221 compared to $98,586, a difference of 1.4%).
Danish vs Zimbabwean Income
Income MetricDanishZimbabwean
Per Capita Income
Good
$44,095
Exceptional
$45,804
Median Family Income
Excellent
$105,900
Exceptional
$110,011
Median Household Income
Excellent
$87,676
Exceptional
$90,618
Median Earnings
Average
$46,392
Exceptional
$48,229
Median Male Earnings
Excellent
$56,246
Excellent
$56,302
Median Female Earnings
Tragic
$37,730
Exceptional
$40,798
Householder Age | Under 25 years
Excellent
$53,041
Tragic
$51,259
Householder Age | 25 - 44 years
Excellent
$97,221
Exceptional
$98,586
Householder Age | 45 - 64 years
Exceptional
$105,619
Exceptional
$106,849
Householder Age | Over 65 years
Exceptional
$63,117
Exceptional
$65,854
Wage/Income Gap
Tragic
31.0%
Fair
26.3%

Danish vs Zimbabwean Poverty

When considering poverty, the most significant differences between Danish and Zimbabwean communities in the United States are seen in female poverty among 25-34 year olds (12.8% compared to 11.7%, a difference of 9.4%), seniors poverty over the age of 65 (8.8% compared to 9.6%, a difference of 9.1%), and seniors poverty over the age of 75 (10.2% compared to 11.2%, a difference of 9.1%). Conversely, both communities are more comparable in terms of single father poverty (15.8% compared to 15.6%, a difference of 1.3%), married-couple family poverty (4.1% compared to 4.1%, a difference of 1.6%), and child poverty under the age of 5 (14.9% compared to 15.2%, a difference of 1.7%).
Danish vs Zimbabwean Poverty
Poverty MetricDanishZimbabwean
Poverty
Exceptional
10.7%
Exceptional
11.3%
Families
Exceptional
7.3%
Exceptional
7.8%
Males
Exceptional
9.7%
Exceptional
10.2%
Females
Exceptional
11.7%
Exceptional
12.3%
Females 18 to 24 years
Good
19.8%
Fair
20.4%
Females 25 to 34 years
Exceptional
12.8%
Exceptional
11.7%
Children Under 5 years
Exceptional
14.9%
Exceptional
15.2%
Children Under 16 years
Exceptional
13.4%
Exceptional
14.2%
Boys Under 16 years
Exceptional
13.6%
Exceptional
14.3%
Girls Under 16 years
Exceptional
13.7%
Exceptional
14.4%
Single Males
Average
12.8%
Poor
13.1%
Single Females
Good
20.7%
Exceptional
19.5%
Single Fathers
Exceptional
15.8%
Exceptional
15.6%
Single Mothers
Excellent
28.5%
Exceptional
27.9%
Married Couples
Exceptional
4.1%
Exceptional
4.1%
Seniors Over 65 years
Exceptional
8.8%
Exceptional
9.6%
Seniors Over 75 years
Exceptional
10.2%
Exceptional
11.2%
Receiving Food Stamps
Exceptional
9.0%
Exceptional
9.5%

Danish vs Zimbabwean Unemployment

When considering unemployment, the most significant differences between Danish and Zimbabwean communities in the United States are seen in unemployment among ages 65 to 74 years (5.2% compared to 5.9%, a difference of 14.4%), unemployment among seniors over 65 years (4.9% compared to 5.6%, a difference of 13.7%), and unemployment among women with children under 18 years (4.5% compared to 5.1%, a difference of 13.3%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (9.3% compared to 9.2%, a difference of 0.76%), unemployment among youth under 25 years (10.3% compared to 10.2%, a difference of 1.2%), and unemployment among ages 16 to 19 years (15.2% compared to 15.4%, a difference of 1.7%).
Danish vs Zimbabwean Unemployment
Unemployment MetricDanishZimbabwean
Unemployment
Exceptional
4.3%
Exceptional
4.8%
Males
Exceptional
4.5%
Exceptional
4.8%
Females
Exceptional
4.4%
Exceptional
4.8%
Youth < 25
Exceptional
10.3%
Exceptional
10.2%
Age | 16 to 19 years
Exceptional
15.2%
Exceptional
15.4%
Age | 20 to 24 years
Exceptional
9.3%
Exceptional
9.2%
Age | 25 to 29 years
Exceptional
6.0%
Exceptional
6.4%
Age | 30 to 34 years
Exceptional
5.0%
Exceptional
4.8%
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
4.2%
Age | 60 to 64 years
Exceptional
4.4%
Exceptional
4.5%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
5.9%
Seniors > 65
Exceptional
4.9%
Tragic
5.6%
Seniors > 75
Tragic
9.7%
Average
8.7%
Women w/ Children < 6
Exceptional
7.1%
Exceptional
7.3%
Women w/ Children 6 to 17
Exceptional
8.1%
Exceptional
8.6%
Women w/ Children < 18
Exceptional
4.5%
Exceptional
5.1%

Danish vs Zimbabwean Labor Participation

When considering labor participation, the most significant differences between Danish and Zimbabwean communities in the United States are seen in in labor force | age 16-19 (44.7% compared to 38.7%, a difference of 15.4%), in labor force | age 20-24 (79.0% compared to 75.6%, a difference of 4.5%), and in labor force | age > 16 (65.3% compared to 67.3%, a difference of 3.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.5%, a difference of 0.34%), in labor force | age 45-54 (83.3% compared to 84.0%, a difference of 0.86%), and in labor force | age 20-64 (79.9% compared to 81.0%, a difference of 1.3%).
Danish vs Zimbabwean Labor Participation
Labor Participation MetricDanishZimbabwean
In Labor Force | Age > 16
Good
65.3%
Exceptional
67.3%
In Labor Force | Age 20-64
Exceptional
79.9%
Exceptional
81.0%
In Labor Force | Age 16-19
Exceptional
44.7%
Exceptional
38.7%
In Labor Force | Age 20-24
Exceptional
79.0%
Excellent
75.6%
In Labor Force | Age 25-29
Good
84.8%
Fair
84.5%
In Labor Force | Age 30-34
Tragic
84.3%
Exceptional
85.6%
In Labor Force | Age 35-44
Fair
84.3%
Exceptional
86.1%
In Labor Force | Age 45-54
Exceptional
83.3%
Exceptional
84.0%

Danish vs Zimbabwean Family Structure

When considering family structure, the most significant differences between Danish and Zimbabwean communities in the United States are seen in single mother households (5.5% compared to 6.1%, a difference of 9.6%), married-couple households (51.1% compared to 47.4%, a difference of 7.8%), and currently married (50.5% compared to 47.0%, a difference of 7.4%). Conversely, both communities are more comparable in terms of births to unmarried women (28.7% compared to 28.7%, a difference of 0.020%), average family size (3.17 compared to 3.20, a difference of 0.80%), and divorced or separated (11.9% compared to 11.6%, a difference of 2.6%).
Danish vs Zimbabwean Family Structure
Family Structure MetricDanishZimbabwean
Family Households
Exceptional
66.0%
Fair
64.1%
Family Households with Children
Exceptional
28.7%
Exceptional
27.9%
Married-couple Households
Exceptional
51.1%
Excellent
47.4%
Average Family Size
Tragic
3.17
Poor
3.20
Single Father Households
Average
2.3%
Exceptional
2.2%
Single Mother Households
Exceptional
5.5%
Excellent
6.1%
Currently Married
Exceptional
50.5%
Good
47.0%
Divorced or Separated
Excellent
11.9%
Exceptional
11.6%
Births to Unmarried Women
Exceptional
28.7%
Exceptional
28.7%

Danish vs Zimbabwean Vehicle Availability

When considering vehicle availability, the most significant differences between Danish and Zimbabwean communities in the United States are seen in no vehicles in household (6.6% compared to 9.0%, a difference of 37.2%), 4 or more vehicles in household (8.6% compared to 6.4%, a difference of 33.1%), and 3 or more vehicles in household (24.7% compared to 20.3%, a difference of 22.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.5% compared to 91.0%, a difference of 2.8%), 2 or more vehicles in household (63.3% compared to 57.2%, a difference of 10.5%), and 3 or more vehicles in household (24.7% compared to 20.3%, a difference of 22.0%).
Danish vs Zimbabwean Vehicle Availability
Vehicle Availability MetricDanishZimbabwean
No Vehicles Available
Exceptional
6.6%
Exceptional
9.0%
1+ Vehicles Available
Exceptional
93.5%
Exceptional
91.0%
2+ Vehicles Available
Exceptional
63.3%
Exceptional
57.2%
3+ Vehicles Available
Exceptional
24.7%
Excellent
20.3%
4+ Vehicles Available
Exceptional
8.6%
Good
6.4%

Danish vs Zimbabwean Education Level

When considering education level, the most significant differences between Danish and Zimbabwean communities in the United States are seen in master's degree (14.5% compared to 17.7%, a difference of 21.8%), doctorate degree (1.9% compared to 2.3%, a difference of 19.5%), and professional degree (4.4% compared to 5.2%, a difference of 19.1%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.3%, a difference of 0.32%), 1st grade (98.6% compared to 98.3%, a difference of 0.32%), and kindergarten (98.6% compared to 98.3%, a difference of 0.33%).
Danish vs Zimbabwean Education Level
Education Level MetricDanishZimbabwean
No Schooling Completed
Exceptional
1.5%
Exceptional
1.7%
Nursery School
Exceptional
98.6%
Exceptional
98.3%
Kindergarten
Exceptional
98.6%
Exceptional
98.3%
1st Grade
Exceptional
98.6%
Exceptional
98.3%
2nd Grade
Exceptional
98.5%
Exceptional
98.2%
3rd Grade
Exceptional
98.5%
Exceptional
98.1%
4th Grade
Exceptional
98.3%
Exceptional
97.9%
5th Grade
Exceptional
98.2%
Exceptional
97.8%
6th Grade
Exceptional
98.0%
Exceptional
97.6%
7th Grade
Exceptional
97.4%
Exceptional
96.8%
8th Grade
Exceptional
97.2%
Exceptional
96.5%
9th Grade
Exceptional
96.5%
Exceptional
95.9%
10th Grade
Exceptional
95.7%
Exceptional
94.9%
11th Grade
Exceptional
94.7%
Exceptional
93.9%
12th Grade, No Diploma
Exceptional
93.5%
Exceptional
92.7%
High School Diploma
Exceptional
91.8%
Exceptional
91.1%
GED/Equivalency
Exceptional
88.4%
Exceptional
88.0%
College, Under 1 year
Exceptional
68.5%
Exceptional
69.9%
College, 1 year or more
Exceptional
61.7%
Exceptional
64.2%
Associate's Degree
Good
47.4%
Exceptional
51.3%
Bachelor's Degree
Average
38.1%
Exceptional
43.3%
Master's Degree
Fair
14.5%
Exceptional
17.7%
Professional Degree
Average
4.4%
Exceptional
5.2%
Doctorate Degree
Good
1.9%
Exceptional
2.3%

Danish vs Zimbabwean Disability

When considering disability, the most significant differences between Danish and Zimbabwean communities in the United States are seen in disability age under 5 (1.5% compared to 1.2%, a difference of 25.5%), hearing disability (3.6% compared to 2.8%, a difference of 25.1%), and disability age 18 to 34 (7.5% compared to 6.5%, a difference of 15.8%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.7% compared to 5.5%, a difference of 2.2%), disability age over 75 (46.2% compared to 48.1%, a difference of 4.0%), and self-care disability (2.3% compared to 2.2%, a difference of 5.0%).
Danish vs Zimbabwean Disability
Disability MetricDanishZimbabwean
Disability
Tragic
12.0%
Exceptional
10.9%
Males
Tragic
11.9%
Exceptional
10.6%
Females
Good
12.1%
Exceptional
11.3%
Age | Under 5 years
Tragic
1.5%
Exceptional
1.2%
Age | 5 to 17 years
Fair
5.7%
Good
5.5%
Age | 18 to 34 years
Tragic
7.5%
Good
6.5%
Age | 35 to 64 years
Fair
11.4%
Exceptional
10.4%
Age | 65 to 74 years
Excellent
22.8%
Exceptional
21.5%
Age | Over 75 years
Exceptional
46.2%
Tragic
48.1%
Vision
Exceptional
2.1%
Exceptional
2.0%
Hearing
Tragic
3.6%
Excellent
2.8%
Cognitive
Exceptional
16.7%
Tragic
17.6%
Ambulatory
Exceptional
5.8%
Exceptional
5.4%
Self-Care
Exceptional
2.3%
Exceptional
2.2%