Burmese vs Kenyan Community Comparison

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Burmese
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 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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Burmese

Kenyans

Exceptional
Good
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK

Kenyan Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 163,806,017 people shows a slight negative correlation between the proportion of Kenyans within Burmese communities in the United States with a correlation coefficient (R) of -0.088. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.002% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 2.3 Kenyans.
Burmese Integration in Kenyan Communities

Burmese vs Kenyan Income

When considering income, the most significant differences between Burmese and Kenyan communities in the United States are seen in householder income ages 25 - 44 years ($113,701 compared to $91,684, a difference of 24.0%), householder income ages 45 - 64 years ($121,444 compared to $98,970, a difference of 22.7%), and median household income ($103,145 compared to $84,085, a difference of 22.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $50,815, a difference of 7.8%), median female earnings ($44,911 compared to $39,860, a difference of 12.7%), and wage/income gap (28.0% compared to 24.5%, a difference of 14.5%).
Burmese vs Kenyan Income
Income MetricBurmeseKenyan
Per Capita Income
Exceptional
$52,005
Fair
$42,808
Median Family Income
Exceptional
$123,369
Fair
$101,417
Median Household Income
Exceptional
$103,145
Fair
$84,085
Median Earnings
Exceptional
$54,559
Average
$46,462
Median Male Earnings
Exceptional
$65,236
Fair
$53,647
Median Female Earnings
Exceptional
$44,911
Average
$39,860
Householder Age | Under 25 years
Exceptional
$54,800
Tragic
$50,815
Householder Age | 25 - 44 years
Exceptional
$113,701
Poor
$91,684
Householder Age | 45 - 64 years
Exceptional
$121,444
Fair
$98,970
Householder Age | Over 65 years
Exceptional
$71,139
Fair
$60,514
Wage/Income Gap
Tragic
28.0%
Exceptional
24.5%

Burmese vs Kenyan Poverty

When considering poverty, the most significant differences between Burmese and Kenyan communities in the United States are seen in receiving food stamps (8.6% compared to 11.6%, a difference of 33.7%), child poverty under the age of 5 (13.2% compared to 17.5%, a difference of 32.4%), and child poverty among girls under 16 (13.0% compared to 16.8%, a difference of 29.2%). Conversely, both communities are more comparable in terms of single father poverty (15.5% compared to 15.3%, a difference of 0.98%), seniors poverty over the age of 75 (11.7% compared to 11.5%, a difference of 1.5%), and seniors poverty over the age of 65 (10.1% compared to 10.3%, a difference of 1.8%).
Burmese vs Kenyan Poverty
Poverty MetricBurmeseKenyan
Poverty
Exceptional
10.7%
Fair
12.5%
Families
Exceptional
7.3%
Average
8.9%
Males
Exceptional
9.7%
Fair
11.3%
Females
Exceptional
11.6%
Average
13.5%
Females 18 to 24 years
Exceptional
18.9%
Average
20.2%
Females 25 to 34 years
Exceptional
11.2%
Average
13.5%
Children Under 5 years
Exceptional
13.2%
Fair
17.5%
Children Under 16 years
Exceptional
12.8%
Fair
16.5%
Boys Under 16 years
Exceptional
13.0%
Average
16.6%
Girls Under 16 years
Exceptional
13.0%
Fair
16.8%
Single Males
Exceptional
11.7%
Exceptional
12.4%
Single Females
Exceptional
18.3%
Good
20.8%
Single Fathers
Exceptional
15.5%
Exceptional
15.3%
Single Mothers
Exceptional
26.2%
Exceptional
28.4%
Married Couples
Exceptional
4.3%
Exceptional
4.8%
Seniors Over 65 years
Exceptional
10.1%
Exceptional
10.3%
Seniors Over 75 years
Excellent
11.7%
Exceptional
11.5%
Receiving Food Stamps
Exceptional
8.6%
Good
11.6%

Burmese vs Kenyan Unemployment

When considering unemployment, the most significant differences between Burmese and Kenyan communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 7.6%, a difference of 17.0%), unemployment among seniors over 75 years (8.2% compared to 9.1%, a difference of 11.0%), and unemployment among women with children ages 6 to 17 years (8.0% compared to 8.8%, a difference of 10.4%). Conversely, both communities are more comparable in terms of female unemployment (5.0% compared to 5.0%, a difference of 0.61%), unemployment among youth under 25 years (11.3% compared to 11.2%, a difference of 0.99%), and unemployment among ages 25 to 29 years (6.2% compared to 6.3%, a difference of 1.0%).
Burmese vs Kenyan Unemployment
Unemployment MetricBurmeseKenyan
Unemployment
Exceptional
4.9%
Excellent
5.1%
Males
Exceptional
4.9%
Good
5.2%
Females
Exceptional
5.0%
Exceptional
5.0%
Youth < 25
Excellent
11.3%
Exceptional
11.2%
Age | 16 to 19 years
Exceptional
17.0%
Exceptional
16.1%
Age | 20 to 24 years
Excellent
10.2%
Exceptional
9.9%
Age | 25 to 29 years
Exceptional
6.2%
Exceptional
6.3%
Age | 30 to 34 years
Exceptional
5.1%
Exceptional
5.2%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
4.4%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.5%
Exceptional
4.4%
Age | 60 to 64 years
Excellent
4.8%
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
8.2%
Tragic
9.1%
Women w/ Children < 6
Exceptional
6.5%
Good
7.6%
Women w/ Children 6 to 17
Exceptional
8.0%
Excellent
8.8%
Women w/ Children < 18
Exceptional
4.9%
Excellent
5.3%

Burmese vs Kenyan Labor Participation

When considering labor participation, the most significant differences between Burmese and Kenyan communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 40.1%, a difference of 16.4%), in labor force | age 20-24 (73.6% compared to 77.0%, a difference of 4.6%), and in labor force | age > 16 (66.2% compared to 67.6%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.6% compared to 83.7%, a difference of 0.12%), in labor force | age 30-34 (85.3% compared to 85.4%, a difference of 0.20%), and in labor force | age 25-29 (85.1% compared to 85.4%, a difference of 0.27%).
Burmese vs Kenyan Labor Participation
Labor Participation MetricBurmeseKenyan
In Labor Force | Age > 16
Exceptional
66.2%
Exceptional
67.6%
In Labor Force | Age 20-64
Exceptional
80.3%
Exceptional
80.8%
In Labor Force | Age 16-19
Tragic
34.5%
Exceptional
40.1%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
77.0%
In Labor Force | Age 25-29
Exceptional
85.1%
Exceptional
85.4%
In Labor Force | Age 30-34
Exceptional
85.3%
Exceptional
85.4%
In Labor Force | Age 35-44
Exceptional
84.7%
Exceptional
85.2%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
83.7%

Burmese vs Kenyan Family Structure

When considering family structure, the most significant differences between Burmese and Kenyan communities in the United States are seen in single mother households (5.3% compared to 7.0%, a difference of 31.7%), births to unmarried women (26.4% compared to 31.9%, a difference of 20.9%), and single father households (2.0% compared to 2.4%, a difference of 17.0%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.21, a difference of 0.060%), family households with children (28.5% compared to 28.4%, a difference of 0.39%), and family households (65.7% compared to 63.2%, a difference of 4.1%).
Burmese vs Kenyan Family Structure
Family Structure MetricBurmeseKenyan
Family Households
Exceptional
65.7%
Tragic
63.2%
Family Households with Children
Exceptional
28.5%
Exceptional
28.4%
Married-couple Households
Exceptional
49.8%
Tragic
44.7%
Average Family Size
Fair
3.22
Fair
3.21
Single Father Households
Exceptional
2.0%
Fair
2.4%
Single Mother Households
Exceptional
5.3%
Tragic
7.0%
Currently Married
Exceptional
48.9%
Tragic
45.2%
Divorced or Separated
Exceptional
10.7%
Fair
12.2%
Births to Unmarried Women
Exceptional
26.4%
Average
31.9%

Burmese vs Kenyan Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Kenyan communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 6.1%, a difference of 12.1%), 3 or more vehicles in household (20.6% compared to 19.1%, a difference of 8.2%), and 2 or more vehicles in household (57.8% compared to 55.5%, a difference of 4.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 90.4%, a difference of 0.080%), no vehicles in household (9.7% compared to 9.7%, a difference of 0.28%), and 2 or more vehicles in household (57.8% compared to 55.5%, a difference of 4.1%).
Burmese vs Kenyan Vehicle Availability
Vehicle Availability MetricBurmeseKenyan
No Vehicles Available
Excellent
9.7%
Excellent
9.7%
1+ Vehicles Available
Excellent
90.4%
Excellent
90.4%
2+ Vehicles Available
Exceptional
57.8%
Average
55.5%
3+ Vehicles Available
Exceptional
20.6%
Fair
19.1%
4+ Vehicles Available
Exceptional
6.8%
Poor
6.1%

Burmese vs Kenyan Education Level

When considering education level, the most significant differences between Burmese and Kenyan communities in the United States are seen in professional degree (6.1% compared to 4.4%, a difference of 39.4%), doctorate degree (2.6% compared to 1.9%, a difference of 35.2%), and master's degree (19.7% compared to 15.3%, a difference of 28.5%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 98.0%, a difference of 0.11%), kindergarten (98.1% compared to 98.0%, a difference of 0.11%), and 1st grade (98.0% compared to 97.9%, a difference of 0.11%).
Burmese vs Kenyan Education Level
Education Level MetricBurmeseKenyan
No Schooling Completed
Excellent
1.9%
Good
2.0%
Nursery School
Excellent
98.1%
Average
98.0%
Kindergarten
Excellent
98.1%
Average
98.0%
1st Grade
Excellent
98.0%
Average
97.9%
2nd Grade
Excellent
98.0%
Average
97.9%
3rd Grade
Good
97.9%
Average
97.8%
4th Grade
Excellent
97.7%
Average
97.5%
5th Grade
Excellent
97.5%
Average
97.4%
6th Grade
Excellent
97.3%
Good
97.1%
7th Grade
Excellent
96.3%
Good
96.2%
8th Grade
Exceptional
96.1%
Good
95.9%
9th Grade
Exceptional
95.4%
Good
95.1%
10th Grade
Exceptional
94.5%
Good
94.0%
11th Grade
Exceptional
93.6%
Excellent
92.9%
12th Grade, No Diploma
Exceptional
92.6%
Good
91.5%
High School Diploma
Exceptional
90.8%
Excellent
89.6%
GED/Equivalency
Exceptional
88.3%
Good
86.3%
College, Under 1 year
Exceptional
71.9%
Excellent
66.5%
College, 1 year or more
Exceptional
66.7%
Good
60.5%
Associate's Degree
Exceptional
54.6%
Good
47.1%
Bachelor's Degree
Exceptional
46.9%
Good
38.7%
Master's Degree
Exceptional
19.7%
Good
15.3%
Professional Degree
Exceptional
6.1%
Average
4.4%
Doctorate Degree
Exceptional
2.6%
Excellent
1.9%

Burmese vs Kenyan Disability

When considering disability, the most significant differences between Burmese and Kenyan communities in the United States are seen in disability age 35 to 64 (9.2% compared to 11.4%, a difference of 23.4%), disability age 5 to 17 (4.8% compared to 5.8%, a difference of 20.3%), and disability age 65 to 74 (20.6% compared to 23.7%, a difference of 15.1%). Conversely, both communities are more comparable in terms of hearing disability (2.8% compared to 2.8%, a difference of 1.5%), self-care disability (2.3% compared to 2.3%, a difference of 1.8%), and disability age over 75 (45.9% compared to 47.2%, a difference of 2.9%).
Burmese vs Kenyan Disability
Disability MetricBurmeseKenyan
Disability
Exceptional
10.4%
Excellent
11.5%
Males
Exceptional
10.0%
Good
11.0%
Females
Exceptional
10.7%
Exceptional
11.9%
Age | Under 5 years
Exceptional
1.1%
Good
1.2%
Age | 5 to 17 years
Exceptional
4.8%
Poor
5.8%
Age | 18 to 34 years
Exceptional
6.0%
Poor
6.8%
Age | 35 to 64 years
Exceptional
9.2%
Fair
11.4%
Age | 65 to 74 years
Exceptional
20.6%
Fair
23.7%
Age | Over 75 years
Exceptional
45.9%
Average
47.2%
Vision
Exceptional
1.8%
Exceptional
2.1%
Hearing
Exceptional
2.8%
Excellent
2.8%
Cognitive
Exceptional
16.7%
Tragic
18.1%
Ambulatory
Exceptional
5.3%
Exceptional
5.8%
Self-Care
Exceptional
2.3%
Exceptional
2.3%