Burmese vs Senegalese Community Comparison

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Burmese
Race
Ancestry
AfghanAfricanAlaska NativeAlbanianAleutAlsatianAmericanApacheArabArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianZimbabwean
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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Burmese

Senegalese

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

Senegalese Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 76,401,888 people shows a mild negative correlation between the proportion of Senegalese within Burmese communities in the United States with a correlation coefficient (R) of -0.331. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.003% in Senegalese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 2.8 Senegalese.
Burmese Integration in Senegalese Communities

Burmese vs Senegalese Income

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

Burmese vs Senegalese Poverty

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

Burmese vs Senegalese Unemployment

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

Burmese vs Senegalese Labor Participation

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

Burmese vs Senegalese Family Structure

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

Burmese vs Senegalese Vehicle Availability

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

Burmese vs Senegalese Education Level

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

Burmese vs Senegalese Disability

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