Senegalese vs Burmese Community Comparison

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Senegalese
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
Burmese
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-IrishScottishSeminoleSerbianShoshoneSierra 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

Senegalese

Burmese

Poor
Exceptional
1,684
SOCIAL INDEX
14.4/ 100
SOCIAL RATING
292nd/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Senegalese Communities

The statistical analysis conducted on geographies consisting of 76,400,363 people shows a weak positive correlation between the proportion of Burmese within Senegalese communities in the United States with a correlation coefficient (R) of 0.205. On average, for every 1% (one percent) increase in Senegalese within a typical geography, there is an increase of 0.100% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Senegalese corresponds to an increase of 100.5 Burmese.
Senegalese Integration in Burmese Communities

Senegalese vs Burmese Income

When considering income, the most significant differences between Senegalese and Burmese communities in the United States are seen in householder income ages 45 - 64 years ($86,897 compared to $121,444, a difference of 39.8%), median household income ($74,999 compared to $103,145, a difference of 37.5%), and householder income ages 25 - 44 years ($82,852 compared to $113,701, a difference of 37.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($48,953 compared to $54,800, a difference of 11.9%), median female earnings ($39,384 compared to $44,911, a difference of 14.0%), and median earnings ($44,373 compared to $54,559, a difference of 23.0%).
Senegalese vs Burmese Income
Income MetricSenegaleseBurmese
Per Capita Income
Tragic
$41,000
Exceptional
$52,005
Median Family Income
Tragic
$91,475
Exceptional
$123,369
Median Household Income
Tragic
$74,999
Exceptional
$103,145
Median Earnings
Tragic
$44,373
Exceptional
$54,559
Median Male Earnings
Tragic
$49,774
Exceptional
$65,236
Median Female Earnings
Fair
$39,384
Exceptional
$44,911
Householder Age | Under 25 years
Tragic
$48,953
Exceptional
$54,800
Householder Age | 25 - 44 years
Tragic
$82,852
Exceptional
$113,701
Householder Age | 45 - 64 years
Tragic
$86,897
Exceptional
$121,444
Householder Age | Over 65 years
Tragic
$53,591
Exceptional
$71,139
Wage/Income Gap
Exceptional
20.7%
Tragic
28.0%

Senegalese vs Burmese Poverty

When considering poverty, the most significant differences between Senegalese and Burmese communities in the United States are seen in receiving food stamps (15.4% compared to 8.6%, a difference of 77.9%), child poverty under the age of 16 (20.4% compared to 12.8%, a difference of 59.0%), and child poverty among boys under 16 (20.6% compared to 13.0%, a difference of 58.5%). Conversely, both communities are more comparable in terms of single father poverty (16.9% compared to 15.5%, a difference of 9.3%), single male poverty (13.1% compared to 11.7%, a difference of 11.5%), and single mother poverty (31.0% compared to 26.2%, a difference of 18.0%).
Senegalese vs Burmese Poverty
Poverty MetricSenegaleseBurmese
Poverty
Tragic
15.3%
Exceptional
10.7%
Families
Tragic
11.5%
Exceptional
7.3%
Males
Tragic
14.1%
Exceptional
9.7%
Females
Tragic
16.5%
Exceptional
11.6%
Females 18 to 24 years
Tragic
23.0%
Exceptional
18.9%
Females 25 to 34 years
Tragic
15.6%
Exceptional
11.2%
Children Under 5 years
Tragic
20.9%
Exceptional
13.2%
Children Under 16 years
Tragic
20.4%
Exceptional
12.8%
Boys Under 16 years
Tragic
20.6%
Exceptional
13.0%
Girls Under 16 years
Tragic
20.3%
Exceptional
13.0%
Single Males
Poor
13.1%
Exceptional
11.7%
Single Females
Tragic
23.0%
Exceptional
18.3%
Single Fathers
Tragic
16.9%
Exceptional
15.5%
Single Mothers
Tragic
31.0%
Exceptional
26.2%
Married Couples
Tragic
6.1%
Exceptional
4.3%
Seniors Over 65 years
Tragic
13.3%
Exceptional
10.1%
Seniors Over 75 years
Tragic
14.5%
Excellent
11.7%
Receiving Food Stamps
Tragic
15.4%
Exceptional
8.6%

Senegalese vs Burmese Unemployment

When considering unemployment, the most significant differences between Senegalese and Burmese communities in the United States are seen in male unemployment (6.4% compared to 4.9%, a difference of 31.3%), unemployment (6.2% compared to 4.9%, a difference of 25.9%), and unemployment among women with children under 18 years (6.2% compared to 4.9%, a difference of 25.5%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.2% compared to 5.2%, a difference of 0.030%), unemployment among seniors over 65 years (5.1% compared to 5.0%, a difference of 1.7%), and unemployment among ages 60 to 64 years (4.6% compared to 4.8%, a difference of 4.0%).
Senegalese vs Burmese Unemployment
Unemployment MetricSenegaleseBurmese
Unemployment
Tragic
6.2%
Exceptional
4.9%
Males
Tragic
6.4%
Exceptional
4.9%
Females
Tragic
6.0%
Exceptional
5.0%
Youth < 25
Tragic
13.5%
Excellent
11.3%
Age | 16 to 19 years
Tragic
21.0%
Exceptional
17.0%
Age | 20 to 24 years
Tragic
11.5%
Excellent
10.2%
Age | 25 to 29 years
Tragic
7.6%
Exceptional
6.2%
Age | 30 to 34 years
Tragic
6.4%
Exceptional
5.1%
Age | 35 to 44 years
Tragic
5.3%
Exceptional
4.3%
Age | 45 to 54 years
Tragic
5.1%
Exceptional
4.2%
Age | 55 to 59 years
Tragic
5.1%
Exceptional
4.5%
Age | 60 to 64 years
Exceptional
4.6%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.2%
Seniors > 65
Excellent
5.1%
Exceptional
5.0%
Seniors > 75
Tragic
9.5%
Exceptional
8.2%
Women w/ Children < 6
Tragic
8.0%
Exceptional
6.5%
Women w/ Children 6 to 17
Tragic
9.5%
Exceptional
8.0%
Women w/ Children < 18
Tragic
6.2%
Exceptional
4.9%

Senegalese vs Burmese Labor Participation

When considering labor participation, the most significant differences between Senegalese and Burmese communities in the United States are seen in in labor force | age 16-19 (35.9% compared to 34.5%, a difference of 4.0%), in labor force | age 20-24 (74.8% compared to 73.6%, a difference of 1.7%), and in labor force | age 45-54 (82.4% compared to 83.6%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.0% compared to 85.1%, a difference of 0.16%), in labor force | age 30-34 (85.4% compared to 85.3%, a difference of 0.22%), and in labor force | age 35-44 (84.9% compared to 84.7%, a difference of 0.22%).
Senegalese vs Burmese Labor Participation
Labor Participation MetricSenegaleseBurmese
In Labor Force | Age > 16
Exceptional
66.7%
Exceptional
66.2%
In Labor Force | Age 20-64
Good
79.7%
Exceptional
80.3%
In Labor Force | Age 16-19
Poor
35.9%
Tragic
34.5%
In Labor Force | Age 20-24
Fair
74.8%
Tragic
73.6%
In Labor Force | Age 25-29
Exceptional
85.0%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.4%
Exceptional
85.3%
In Labor Force | Age 35-44
Exceptional
84.9%
Exceptional
84.7%
In Labor Force | Age 45-54
Tragic
82.4%
Exceptional
83.6%

Senegalese vs Burmese Family Structure

When considering family structure, the most significant differences between Senegalese and Burmese communities in the United States are seen in single mother households (8.2% compared to 5.3%, a difference of 55.7%), births to unmarried women (36.8% compared to 26.4%, a difference of 39.4%), and married-couple households (38.6% compared to 49.8%, a difference of 29.2%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.22, a difference of 0.060%), family households with children (26.6% compared to 28.5%, a difference of 7.1%), and family households (59.8% compared to 65.7%, a difference of 9.9%).
Senegalese vs Burmese Family Structure
Family Structure MetricSenegaleseBurmese
Family Households
Tragic
59.8%
Exceptional
65.7%
Family Households with Children
Tragic
26.6%
Exceptional
28.5%
Married-couple Households
Tragic
38.6%
Exceptional
49.8%
Average Family Size
Fair
3.21
Fair
3.22
Single Father Households
Excellent
2.3%
Exceptional
2.0%
Single Mother Households
Tragic
8.2%
Exceptional
5.3%
Currently Married
Tragic
40.6%
Exceptional
48.9%
Divorced or Separated
Tragic
12.6%
Exceptional
10.7%
Births to Unmarried Women
Tragic
36.8%
Exceptional
26.4%

Senegalese vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Senegalese and Burmese communities in the United States are seen in no vehicles in household (19.8% compared to 9.7%, a difference of 104.2%), 4 or more vehicles in household (4.3% compared to 6.8%, a difference of 57.9%), and 3 or more vehicles in household (14.2% compared to 20.6%, a difference of 45.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (80.4% compared to 90.4%, a difference of 12.5%), 2 or more vehicles in household (44.2% compared to 57.8%, a difference of 30.7%), and 3 or more vehicles in household (14.2% compared to 20.6%, a difference of 45.2%).
Senegalese vs Burmese Vehicle Availability
Vehicle Availability MetricSenegaleseBurmese
No Vehicles Available
Tragic
19.8%
Excellent
9.7%
1+ Vehicles Available
Tragic
80.4%
Excellent
90.4%
2+ Vehicles Available
Tragic
44.2%
Exceptional
57.8%
3+ Vehicles Available
Tragic
14.2%
Exceptional
20.6%
4+ Vehicles Available
Tragic
4.3%
Exceptional
6.8%

Senegalese vs Burmese Education Level

When considering education level, the most significant differences between Senegalese and Burmese communities in the United States are seen in doctorate degree (2.0% compared to 2.6%, a difference of 34.1%), professional degree (4.6% compared to 6.1%, a difference of 34.0%), and master's degree (15.2% compared to 19.7%, a difference of 29.4%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 98.1%, a difference of 0.37%), kindergarten (97.7% compared to 98.1%, a difference of 0.37%), and 1st grade (97.7% compared to 98.0%, a difference of 0.37%).
Senegalese vs Burmese Education Level
Education Level MetricSenegaleseBurmese
No Schooling Completed
Tragic
2.3%
Excellent
1.9%
Nursery School
Tragic
97.7%
Excellent
98.1%
Kindergarten
Tragic
97.7%
Excellent
98.1%
1st Grade
Tragic
97.7%
Excellent
98.0%
2nd Grade
Tragic
97.6%
Excellent
98.0%
3rd Grade
Tragic
97.5%
Good
97.9%
4th Grade
Tragic
97.2%
Excellent
97.7%
5th Grade
Tragic
97.0%
Excellent
97.5%
6th Grade
Tragic
96.6%
Excellent
97.3%
7th Grade
Tragic
95.6%
Excellent
96.3%
8th Grade
Tragic
95.2%
Exceptional
96.1%
9th Grade
Tragic
94.2%
Exceptional
95.4%
10th Grade
Tragic
93.0%
Exceptional
94.5%
11th Grade
Tragic
91.6%
Exceptional
93.6%
12th Grade, No Diploma
Tragic
89.9%
Exceptional
92.6%
High School Diploma
Tragic
87.7%
Exceptional
90.8%
GED/Equivalency
Tragic
84.0%
Exceptional
88.3%
College, Under 1 year
Tragic
63.6%
Exceptional
71.9%
College, 1 year or more
Poor
58.2%
Exceptional
66.7%
Associate's Degree
Fair
45.2%
Exceptional
54.6%
Bachelor's Degree
Average
37.5%
Exceptional
46.9%
Master's Degree
Good
15.2%
Exceptional
19.7%
Professional Degree
Good
4.6%
Exceptional
6.1%
Doctorate Degree
Excellent
2.0%
Exceptional
2.6%

Senegalese vs Burmese Disability

When considering disability, the most significant differences between Senegalese and Burmese communities in the United States are seen in disability age 35 to 64 (12.5% compared to 9.2%, a difference of 35.6%), disability age 5 to 17 (6.3% compared to 4.8%, a difference of 31.8%), and vision disability (2.4% compared to 1.8%, a difference of 29.8%). Conversely, both communities are more comparable in terms of disability age under 5 (1.2% compared to 1.1%, a difference of 3.3%), disability age over 75 (47.9% compared to 45.9%, a difference of 4.3%), and hearing disability (2.6% compared to 2.8%, a difference of 6.2%).
Senegalese vs Burmese Disability
Disability MetricSenegaleseBurmese
Disability
Tragic
12.1%
Exceptional
10.4%
Males
Fair
11.4%
Exceptional
10.0%
Females
Tragic
12.8%
Exceptional
10.7%
Age | Under 5 years
Exceptional
1.2%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
6.3%
Exceptional
4.8%
Age | 18 to 34 years
Tragic
6.9%
Exceptional
6.0%
Age | 35 to 64 years
Tragic
12.5%
Exceptional
9.2%
Age | 65 to 74 years
Tragic
24.9%
Exceptional
20.6%
Age | Over 75 years
Poor
47.9%
Exceptional
45.9%
Vision
Tragic
2.4%
Exceptional
1.8%
Hearing
Exceptional
2.6%
Exceptional
2.8%
Cognitive
Tragic
19.0%
Exceptional
16.7%
Ambulatory
Tragic
6.4%
Exceptional
5.3%
Self-Care
Tragic
2.6%
Exceptional
2.3%