Immigrants from Kenya vs Hungarian Community Comparison

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Immigrants from Kenya
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaIcelanderIndian (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
Hungarian
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 RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKoreaKuwaitLaosLatin 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 Kenya

Hungarians

Average
Good
6,037
SOCIAL INDEX
57.9/ 100
SOCIAL RATING
165th/ 347
SOCIAL RANK
6,572
SOCIAL INDEX
63.2/ 100
SOCIAL RATING
149th/ 347
SOCIAL RANK

Hungarian Integration in Immigrants from Kenya Communities

The statistical analysis conducted on geographies consisting of 209,927,679 people shows a poor positive correlation between the proportion of Hungarians within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.192. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.021% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 20.5 Hungarians.
Immigrants from Kenya Integration in Hungarian Communities

Immigrants from Kenya vs Hungarian Income

When considering income, the most significant differences between Immigrants from Kenya and Hungarian communities in the United States are seen in wage/income gap (24.4% compared to 29.0%, a difference of 19.0%), householder income ages 25 - 44 years ($90,767 compared to $97,544, a difference of 7.5%), and median male earnings ($53,427 compared to $57,309, a difference of 7.3%). Conversely, both communities are more comparable in terms of median female earnings ($39,535 compared to $39,510, a difference of 0.060%), householder income under 25 years ($49,633 compared to $50,247, a difference of 1.2%), and householder income over 65 years ($59,710 compared to $61,673, a difference of 3.3%).
Immigrants from Kenya vs Hungarian Income
Income MetricImmigrants from KenyaHungarian
Per Capita Income
Fair
$42,661
Excellent
$45,426
Median Family Income
Fair
$100,679
Excellent
$105,609
Median Household Income
Fair
$83,068
Good
$86,920
Median Earnings
Average
$46,214
Excellent
$47,795
Median Male Earnings
Fair
$53,427
Exceptional
$57,309
Median Female Earnings
Average
$39,535
Average
$39,510
Householder Age | Under 25 years
Tragic
$49,633
Tragic
$50,247
Householder Age | 25 - 44 years
Poor
$90,767
Excellent
$97,544
Householder Age | 45 - 64 years
Fair
$97,964
Excellent
$103,913
Householder Age | Over 65 years
Fair
$59,710
Good
$61,673
Wage/Income Gap
Exceptional
24.4%
Tragic
29.0%

Immigrants from Kenya vs Hungarian Poverty

When considering poverty, the most significant differences between Immigrants from Kenya and Hungarian communities in the United States are seen in single father poverty (15.0% compared to 18.5%, a difference of 23.2%), single male poverty (12.5% compared to 13.8%, a difference of 10.5%), and married-couple family poverty (4.9% compared to 5.3%, a difference of 8.9%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (17.9% compared to 17.9%, a difference of 0.28%), single female poverty (21.4% compared to 21.1%, a difference of 1.4%), and female poverty among 25-34 year olds (13.8% compared to 14.1%, a difference of 2.2%).
Immigrants from Kenya vs Hungarian Poverty
Poverty MetricImmigrants from KenyaHungarian
Poverty
Poor
12.8%
Good
12.2%
Families
Fair
9.2%
Good
8.8%
Males
Poor
11.6%
Average
11.1%
Females
Fair
13.9%
Good
13.2%
Females 18 to 24 years
Tragic
21.0%
Good
19.8%
Females 25 to 34 years
Fair
13.8%
Poor
14.1%
Children Under 5 years
Fair
17.9%
Poor
17.9%
Children Under 16 years
Poor
16.9%
Average
16.2%
Boys Under 16 years
Fair
17.1%
Average
16.5%
Girls Under 16 years
Poor
17.2%
Average
16.6%
Single Males
Excellent
12.5%
Tragic
13.8%
Single Females
Fair
21.4%
Fair
21.1%
Single Fathers
Exceptional
15.0%
Tragic
18.5%
Single Mothers
Good
28.9%
Poor
29.9%
Married Couples
Exceptional
4.9%
Fair
5.3%
Seniors Over 65 years
Excellent
10.5%
Exceptional
9.7%
Seniors Over 75 years
Good
11.9%
Exceptional
11.2%
Receiving Food Stamps
Average
11.8%
Excellent
11.0%

Immigrants from Kenya vs Hungarian Unemployment

When considering unemployment, the most significant differences between Immigrants from Kenya and Hungarian communities in the United States are seen in unemployment among seniors over 75 years (8.8% compared to 10.1%, a difference of 14.2%), unemployment among ages 25 to 29 years (6.1% compared to 6.8%, a difference of 9.9%), and unemployment among ages 55 to 59 years (4.5% compared to 4.8%, a difference of 8.4%). Conversely, both communities are more comparable in terms of male unemployment (5.2% compared to 5.2%, a difference of 0.74%), female unemployment (5.0% compared to 4.9%, a difference of 1.8%), and unemployment among ages 45 to 54 years (4.4% compared to 4.5%, a difference of 1.9%).
Immigrants from Kenya vs Hungarian Unemployment
Unemployment MetricImmigrants from KenyaHungarian
Unemployment
Excellent
5.1%
Exceptional
5.0%
Males
Good
5.2%
Excellent
5.2%
Females
Exceptional
5.0%
Exceptional
4.9%
Youth < 25
Exceptional
11.2%
Excellent
11.4%
Age | 16 to 19 years
Exceptional
16.2%
Exceptional
17.1%
Age | 20 to 24 years
Exceptional
9.7%
Good
10.2%
Age | 25 to 29 years
Exceptional
6.1%
Fair
6.8%
Age | 30 to 34 years
Exceptional
5.2%
Average
5.5%
Age | 35 to 44 years
Exceptional
4.4%
Good
4.6%
Age | 45 to 54 years
Exceptional
4.4%
Good
4.5%
Age | 55 to 59 years
Exceptional
4.5%
Average
4.8%
Age | 60 to 64 years
Exceptional
4.6%
Average
4.9%
Age | 65 to 74 years
Exceptional
5.1%
Tragic
5.5%
Seniors > 65
Exceptional
4.9%
Tragic
5.3%
Seniors > 75
Fair
8.8%
Tragic
10.1%
Women w/ Children < 6
Exceptional
7.3%
Fair
7.8%
Women w/ Children 6 to 17
Excellent
8.8%
Tragic
9.3%
Women w/ Children < 18
Good
5.4%
Excellent
5.3%

Immigrants from Kenya vs Hungarian Labor Participation

When considering labor participation, the most significant differences between Immigrants from Kenya and Hungarian communities in the United States are seen in in labor force | age > 16 (67.6% compared to 63.8%, a difference of 5.9%), in labor force | age 20-64 (80.7% compared to 79.2%, a difference of 2.0%), and in labor force | age 16-19 (40.5% compared to 39.8%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.0% compared to 76.3%, a difference of 0.89%), in labor force | age 25-29 (85.4% compared to 84.6%, a difference of 0.95%), and in labor force | age 45-54 (83.5% compared to 82.7%, a difference of 0.95%).
Immigrants from Kenya vs Hungarian Labor Participation
Labor Participation MetricImmigrants from KenyaHungarian
In Labor Force | Age > 16
Exceptional
67.6%
Tragic
63.8%
In Labor Force | Age 20-64
Exceptional
80.7%
Tragic
79.2%
In Labor Force | Age 16-19
Exceptional
40.5%
Exceptional
39.8%
In Labor Force | Age 20-24
Exceptional
77.0%
Exceptional
76.3%
In Labor Force | Age 25-29
Exceptional
85.4%
Average
84.6%
In Labor Force | Age 30-34
Exceptional
85.5%
Fair
84.5%
In Labor Force | Age 35-44
Exceptional
85.1%
Fair
84.2%
In Labor Force | Age 45-54
Exceptional
83.5%
Fair
82.7%

Immigrants from Kenya vs Hungarian Family Structure

When considering family structure, the most significant differences between Immigrants from Kenya and Hungarian communities in the United States are seen in single mother households (7.0% compared to 5.7%, a difference of 23.0%), married-couple households (44.1% compared to 49.1%, a difference of 11.4%), and single father households (2.4% compared to 2.2%, a difference of 10.3%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.18, a difference of 0.95%), family households with children (28.1% compared to 27.6%, a difference of 1.8%), and divorced or separated (12.2% compared to 12.0%, a difference of 2.2%).
Immigrants from Kenya vs Hungarian Family Structure
Family Structure MetricImmigrants from KenyaHungarian
Family Households
Tragic
62.3%
Exceptional
64.9%
Family Households with Children
Exceptional
28.1%
Good
27.6%
Married-couple Households
Tragic
44.1%
Exceptional
49.1%
Average Family Size
Poor
3.21
Tragic
3.18
Single Father Households
Fair
2.4%
Exceptional
2.2%
Single Mother Households
Tragic
7.0%
Exceptional
5.7%
Currently Married
Tragic
44.9%
Exceptional
48.8%
Divorced or Separated
Poor
12.2%
Good
12.0%
Births to Unmarried Women
Fair
32.1%
Good
31.2%

Immigrants from Kenya vs Hungarian Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Hungarian communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 6.4%, a difference of 7.4%), 3 or more vehicles in household (18.8% compared to 19.8%, a difference of 5.6%), and no vehicles in household (9.6% compared to 9.9%, a difference of 2.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 90.3%, a difference of 0.070%), 2 or more vehicles in household (55.1% compared to 56.5%, a difference of 2.5%), and no vehicles in household (9.6% compared to 9.9%, a difference of 2.9%).
Immigrants from Kenya vs Hungarian Vehicle Availability
Vehicle Availability MetricImmigrants from KenyaHungarian
No Vehicles Available
Excellent
9.6%
Excellent
9.9%
1+ Vehicles Available
Excellent
90.4%
Excellent
90.3%
2+ Vehicles Available
Average
55.1%
Excellent
56.5%
3+ Vehicles Available
Poor
18.8%
Good
19.8%
4+ Vehicles Available
Tragic
6.0%
Good
6.4%

Immigrants from Kenya vs Hungarian Education Level

When considering education level, the most significant differences between Immigrants from Kenya and Hungarian communities in the United States are seen in no schooling completed (2.1% compared to 1.6%, a difference of 33.8%), professional degree (4.4% compared to 4.6%, a difference of 5.9%), and master's degree (15.3% compared to 15.6%, a difference of 2.0%). Conversely, both communities are more comparable in terms of doctorate degree (1.9% compared to 1.9%, a difference of 0.46%), nursery school (97.9% compared to 98.5%, a difference of 0.59%), and kindergarten (97.9% compared to 98.5%, a difference of 0.59%).
Immigrants from Kenya vs Hungarian Education Level
Education Level MetricImmigrants from KenyaHungarian
No Schooling Completed
Fair
2.1%
Exceptional
1.6%
Nursery School
Fair
97.9%
Exceptional
98.5%
Kindergarten
Fair
97.9%
Exceptional
98.5%
1st Grade
Fair
97.8%
Exceptional
98.4%
2nd Grade
Fair
97.8%
Exceptional
98.4%
3rd Grade
Fair
97.7%
Exceptional
98.3%
4th Grade
Fair
97.5%
Exceptional
98.2%
5th Grade
Average
97.3%
Exceptional
98.0%
6th Grade
Average
97.0%
Exceptional
97.8%
7th Grade
Good
96.1%
Exceptional
97.2%
8th Grade
Good
95.8%
Exceptional
97.0%
9th Grade
Good
95.0%
Exceptional
96.2%
10th Grade
Good
94.0%
Exceptional
95.3%
11th Grade
Good
92.8%
Exceptional
94.2%
12th Grade, No Diploma
Good
91.5%
Exceptional
92.8%
High School Diploma
Good
89.6%
Exceptional
90.8%
GED/Equivalency
Good
86.2%
Exceptional
87.4%
College, Under 1 year
Excellent
66.5%
Average
65.6%
College, 1 year or more
Good
60.5%
Average
59.5%
Associate's Degree
Good
47.2%
Average
46.7%
Bachelor's Degree
Good
38.8%
Good
38.3%
Master's Degree
Good
15.3%
Good
15.6%
Professional Degree
Average
4.4%
Excellent
4.6%
Doctorate Degree
Good
1.9%
Good
1.9%

Immigrants from Kenya vs Hungarian Disability

When considering disability, the most significant differences between Immigrants from Kenya and Hungarian communities in the United States are seen in disability age under 5 (1.2% compared to 1.5%, a difference of 24.7%), hearing disability (2.9% compared to 3.4%, a difference of 18.1%), and cognitive disability (18.3% compared to 16.5%, a difference of 11.2%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.8%, a difference of 0.32%), disability age 35 to 64 (11.6% compared to 11.4%, a difference of 1.8%), and disability age over 75 (47.6% compared to 46.5%, a difference of 2.2%).
Immigrants from Kenya vs Hungarian Disability
Disability MetricImmigrants from KenyaHungarian
Disability
Good
11.6%
Tragic
12.2%
Males
Good
11.1%
Tragic
12.0%
Females
Excellent
12.0%
Tragic
12.5%
Age | Under 5 years
Average
1.2%
Tragic
1.5%
Age | 5 to 17 years
Tragic
5.8%
Tragic
5.8%
Age | 18 to 34 years
Tragic
6.9%
Tragic
7.1%
Age | 35 to 64 years
Poor
11.6%
Fair
11.4%
Age | 65 to 74 years
Poor
23.8%
Exceptional
22.4%
Age | Over 75 years
Fair
47.6%
Exceptional
46.5%
Vision
Excellent
2.1%
Good
2.1%
Hearing
Excellent
2.9%
Tragic
3.4%
Cognitive
Tragic
18.3%
Exceptional
16.5%
Ambulatory
Exceptional
5.8%
Tragic
6.3%
Self-Care
Exceptional
2.3%
Average
2.5%