Immigrants from Hungary vs Kenyan Community Comparison

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Immigrants from Hungary
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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
Kenyan
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 KongIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin 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 Hungary

Kenyans

Good
Good
8,157
SOCIAL INDEX
79.0/ 100
SOCIAL RATING
84th/ 347
SOCIAL RANK
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK

Kenyan Integration in Immigrants from Hungary Communities

The statistical analysis conducted on geographies consisting of 101,471,340 people shows a slight positive correlation between the proportion of Kenyans within Immigrant from Hungary communities in the United States with a correlation coefficient (R) of 0.081. On average, for every 1% (one percent) increase in Immigrants from Hungary within a typical geography, there is an increase of 0.014% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hungary corresponds to an increase of 14.1 Kenyans.
Immigrants from Hungary Integration in Kenyan Communities

Immigrants from Hungary vs Kenyan Income

When considering income, the most significant differences between Immigrants from Hungary and Kenyan communities in the United States are seen in per capita income ($49,303 compared to $42,808, a difference of 15.2%), householder income ages 25 - 44 years ($102,655 compared to $91,684, a difference of 12.0%), and median male earnings ($59,806 compared to $53,647, a difference of 11.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,798 compared to $50,815, a difference of 3.9%), median female earnings ($41,820 compared to $39,860, a difference of 4.9%), and householder income over 65 years ($64,277 compared to $60,514, a difference of 6.2%).
Immigrants from Hungary vs Kenyan Income
Income MetricImmigrants from HungaryKenyan
Per Capita Income
Exceptional
$49,303
Fair
$42,808
Median Family Income
Exceptional
$111,378
Fair
$101,417
Median Household Income
Exceptional
$92,094
Fair
$84,085
Median Earnings
Exceptional
$50,227
Average
$46,462
Median Male Earnings
Exceptional
$59,806
Fair
$53,647
Median Female Earnings
Exceptional
$41,820
Average
$39,860
Householder Age | Under 25 years
Excellent
$52,798
Tragic
$50,815
Householder Age | 25 - 44 years
Exceptional
$102,655
Poor
$91,684
Householder Age | 45 - 64 years
Exceptional
$108,267
Fair
$98,970
Householder Age | Over 65 years
Exceptional
$64,277
Fair
$60,514
Wage/Income Gap
Tragic
27.0%
Exceptional
24.5%

Immigrants from Hungary vs Kenyan Poverty

When considering poverty, the most significant differences between Immigrants from Hungary and Kenyan communities in the United States are seen in receiving food stamps (10.3% compared to 11.6%, a difference of 11.8%), child poverty under the age of 16 (15.5% compared to 16.5%, a difference of 6.8%), and family poverty (8.4% compared to 8.9%, a difference of 6.6%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.4% compared to 10.3%, a difference of 1.6%), single mother poverty (28.9% compared to 28.4%, a difference of 1.8%), and single male poverty (12.6% compared to 12.4%, a difference of 2.3%).
Immigrants from Hungary vs Kenyan Poverty
Poverty MetricImmigrants from HungaryKenyan
Poverty
Excellent
11.7%
Fair
12.5%
Families
Excellent
8.4%
Average
8.9%
Males
Excellent
10.7%
Fair
11.3%
Females
Exceptional
12.7%
Average
13.5%
Females 18 to 24 years
Exceptional
19.3%
Average
20.2%
Females 25 to 34 years
Excellent
13.0%
Average
13.5%
Children Under 5 years
Excellent
16.5%
Fair
17.5%
Children Under 16 years
Excellent
15.5%
Fair
16.5%
Boys Under 16 years
Excellent
15.7%
Average
16.6%
Girls Under 16 years
Excellent
15.8%
Fair
16.8%
Single Males
Good
12.6%
Exceptional
12.4%
Single Females
Exceptional
20.2%
Good
20.8%
Single Fathers
Good
16.1%
Exceptional
15.3%
Single Mothers
Good
28.9%
Exceptional
28.4%
Married Couples
Excellent
4.9%
Exceptional
4.8%
Seniors Over 65 years
Excellent
10.4%
Exceptional
10.3%
Seniors Over 75 years
Excellent
11.8%
Exceptional
11.5%
Receiving Food Stamps
Exceptional
10.3%
Good
11.6%

Immigrants from Hungary vs Kenyan Unemployment

When considering unemployment, the most significant differences between Immigrants from Hungary and Kenyan communities in the United States are seen in unemployment among seniors over 75 years (7.7% compared to 9.1%, a difference of 17.8%), unemployment among ages 16 to 19 years (17.5% compared to 16.1%, a difference of 9.2%), and unemployment among ages 55 to 59 years (4.8% compared to 4.4%, a difference of 9.2%). Conversely, both communities are more comparable in terms of unemployment (5.1% compared to 5.1%, a difference of 0.36%), male unemployment (5.2% compared to 5.2%, a difference of 0.50%), and female unemployment (5.1% compared to 5.0%, a difference of 1.4%).
Immigrants from Hungary vs Kenyan Unemployment
Unemployment MetricImmigrants from HungaryKenyan
Unemployment
Excellent
5.1%
Excellent
5.1%
Males
Good
5.2%
Good
5.2%
Females
Excellent
5.1%
Exceptional
5.0%
Youth < 25
Excellent
11.4%
Exceptional
11.2%
Age | 16 to 19 years
Average
17.5%
Exceptional
16.1%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
9.9%
Age | 25 to 29 years
Excellent
6.4%
Exceptional
6.3%
Age | 30 to 34 years
Good
5.4%
Exceptional
5.2%
Age | 35 to 44 years
Good
4.6%
Exceptional
4.4%
Age | 45 to 54 years
Average
4.5%
Exceptional
4.3%
Age | 55 to 59 years
Average
4.8%
Exceptional
4.4%
Age | 60 to 64 years
Average
4.9%
Exceptional
4.6%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
4.8%
Seniors > 65
Exceptional
5.0%
Exceptional
4.7%
Seniors > 75
Exceptional
7.7%
Tragic
9.1%
Women w/ Children < 6
Exceptional
7.1%
Good
7.6%
Women w/ Children 6 to 17
Good
8.9%
Excellent
8.8%
Women w/ Children < 18
Average
5.5%
Excellent
5.3%

Immigrants from Hungary vs Kenyan Labor Participation

When considering labor participation, the most significant differences between Immigrants from Hungary and Kenyan communities in the United States are seen in in labor force | age 16-19 (36.2% compared to 40.1%, a difference of 11.0%), in labor force | age > 16 (64.5% compared to 67.6%, a difference of 4.7%), and in labor force | age 20-24 (74.9% compared to 77.0%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.1% compared to 85.4%, a difference of 0.37%), in labor force | age 25-29 (84.8% compared to 85.4%, a difference of 0.63%), and in labor force | age 35-44 (84.4% compared to 85.2%, a difference of 0.97%).
Immigrants from Hungary vs Kenyan Labor Participation
Labor Participation MetricImmigrants from HungaryKenyan
In Labor Force | Age > 16
Tragic
64.5%
Exceptional
67.6%
In Labor Force | Age 20-64
Fair
79.5%
Exceptional
80.8%
In Labor Force | Age 16-19
Fair
36.2%
Exceptional
40.1%
In Labor Force | Age 20-24
Fair
74.9%
Exceptional
77.0%
In Labor Force | Age 25-29
Good
84.8%
Exceptional
85.4%
In Labor Force | Age 30-34
Exceptional
85.1%
Exceptional
85.4%
In Labor Force | Age 35-44
Average
84.4%
Exceptional
85.2%
In Labor Force | Age 45-54
Fair
82.7%
Exceptional
83.7%

Immigrants from Hungary vs Kenyan Family Structure

When considering family structure, the most significant differences between Immigrants from Hungary and Kenyan communities in the United States are seen in single mother households (5.7% compared to 7.0%, a difference of 23.0%), single father households (2.1% compared to 2.4%, a difference of 13.4%), and births to unmarried women (29.7% compared to 31.9%, a difference of 7.2%). Conversely, both communities are more comparable in terms of family households (63.6% compared to 63.2%, a difference of 0.75%), average family size (3.17 compared to 3.21, a difference of 1.5%), and divorced or separated (11.9% compared to 12.2%, a difference of 2.0%).
Immigrants from Hungary vs Kenyan Family Structure
Family Structure MetricImmigrants from HungaryKenyan
Family Households
Tragic
63.6%
Tragic
63.2%
Family Households with Children
Tragic
26.7%
Exceptional
28.4%
Married-couple Households
Excellent
47.3%
Tragic
44.7%
Average Family Size
Tragic
3.17
Fair
3.21
Single Father Households
Exceptional
2.1%
Fair
2.4%
Single Mother Households
Exceptional
5.7%
Tragic
7.0%
Currently Married
Exceptional
47.6%
Tragic
45.2%
Divorced or Separated
Good
11.9%
Fair
12.2%
Births to Unmarried Women
Exceptional
29.7%
Average
31.9%

Immigrants from Hungary vs Kenyan Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Hungary and Kenyan communities in the United States are seen in no vehicles in household (11.1% compared to 9.7%, a difference of 14.4%), 4 or more vehicles in household (5.8% compared to 6.1%, a difference of 4.3%), and 3 or more vehicles in household (18.5% compared to 19.1%, a difference of 3.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 90.4%, a difference of 1.5%), 2 or more vehicles in household (54.2% compared to 55.5%, a difference of 2.4%), and 3 or more vehicles in household (18.5% compared to 19.1%, a difference of 3.5%).
Immigrants from Hungary vs Kenyan Vehicle Availability
Vehicle Availability MetricImmigrants from HungaryKenyan
No Vehicles Available
Poor
11.1%
Excellent
9.7%
1+ Vehicles Available
Poor
89.0%
Excellent
90.4%
2+ Vehicles Available
Poor
54.2%
Average
55.5%
3+ Vehicles Available
Tragic
18.5%
Fair
19.1%
4+ Vehicles Available
Tragic
5.8%
Poor
6.1%

Immigrants from Hungary vs Kenyan Education Level

When considering education level, the most significant differences between Immigrants from Hungary and Kenyan communities in the United States are seen in professional degree (5.5% compared to 4.4%, a difference of 23.8%), doctorate degree (2.2% compared to 1.9%, a difference of 15.2%), and master's degree (17.5% compared to 15.3%, a difference of 14.4%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 98.0%, a difference of 0.16%), kindergarten (98.1% compared to 98.0%, a difference of 0.16%), and 1st grade (98.1% compared to 97.9%, a difference of 0.16%).
Immigrants from Hungary vs Kenyan Education Level
Education Level MetricImmigrants from HungaryKenyan
No Schooling Completed
Exceptional
1.9%
Good
2.0%
Nursery School
Excellent
98.1%
Average
98.0%
Kindergarten
Excellent
98.1%
Average
98.0%
1st Grade
Excellent
98.1%
Average
97.9%
2nd Grade
Excellent
98.0%
Average
97.9%
3rd Grade
Excellent
97.9%
Average
97.8%
4th Grade
Excellent
97.7%
Average
97.5%
5th Grade
Exceptional
97.6%
Average
97.4%
6th Grade
Excellent
97.3%
Good
97.1%
7th Grade
Exceptional
96.4%
Good
96.2%
8th Grade
Exceptional
96.1%
Good
95.9%
9th Grade
Exceptional
95.4%
Good
95.1%
10th Grade
Exceptional
94.4%
Good
94.0%
11th Grade
Exceptional
93.4%
Excellent
92.9%
12th Grade, No Diploma
Exceptional
92.1%
Good
91.5%
High School Diploma
Exceptional
90.2%
Excellent
89.6%
GED/Equivalency
Exceptional
87.2%
Good
86.3%
College, Under 1 year
Exceptional
68.3%
Excellent
66.5%
College, 1 year or more
Exceptional
62.7%
Good
60.5%
Associate's Degree
Exceptional
50.2%
Good
47.1%
Bachelor's Degree
Exceptional
42.3%
Good
38.7%
Master's Degree
Exceptional
17.5%
Good
15.3%
Professional Degree
Exceptional
5.5%
Average
4.4%
Doctorate Degree
Exceptional
2.2%
Excellent
1.9%

Immigrants from Hungary vs Kenyan Disability

When considering disability, the most significant differences between Immigrants from Hungary and Kenyan communities in the United States are seen in disability age under 5 (1.4% compared to 1.2%, a difference of 13.4%), hearing disability (3.1% compared to 2.8%, a difference of 10.2%), and disability age 65 to 74 (21.7% compared to 23.7%, a difference of 9.3%). Conversely, both communities are more comparable in terms of female disability (11.9% compared to 11.9%, a difference of 0.28%), disability (11.5% compared to 11.5%, a difference of 0.66%), and vision disability (2.1% compared to 2.1%, a difference of 0.74%).
Immigrants from Hungary vs Kenyan Disability
Disability MetricImmigrants from HungaryKenyan
Disability
Good
11.5%
Excellent
11.5%
Males
Good
11.1%
Good
11.0%
Females
Exceptional
11.9%
Exceptional
11.9%
Age | Under 5 years
Tragic
1.4%
Good
1.2%
Age | 5 to 17 years
Excellent
5.5%
Poor
5.8%
Age | 18 to 34 years
Good
6.5%
Poor
6.8%
Age | 35 to 64 years
Exceptional
10.4%
Fair
11.4%
Age | 65 to 74 years
Exceptional
21.7%
Fair
23.7%
Age | Over 75 years
Exceptional
46.1%
Average
47.2%
Vision
Excellent
2.1%
Exceptional
2.1%
Hearing
Poor
3.1%
Excellent
2.8%
Cognitive
Exceptional
16.7%
Tragic
18.1%
Ambulatory
Excellent
6.0%
Exceptional
5.8%
Self-Care
Excellent
2.4%
Exceptional
2.3%