Burmese vs French Community Comparison

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Burmese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrench 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
French
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

French

Exceptional
Average
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
5,755
SOCIAL INDEX
55.1/ 100
SOCIAL RATING
169th/ 347
SOCIAL RANK

French Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 463,384,854 people shows a slight negative correlation between the proportion of French within Burmese communities in the United States with a correlation coefficient (R) of -0.072. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.006% in French. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 6.2 French.
Burmese Integration in French Communities

Burmese vs French Income

When considering income, the most significant differences between Burmese and French communities in the United States are seen in median household income ($103,145 compared to $83,468, a difference of 23.6%), householder income ages 45 - 64 years ($121,444 compared to $99,824, a difference of 21.7%), and householder income ages 25 - 44 years ($113,701 compared to $93,665, a difference of 21.4%). Conversely, both communities are more comparable in terms of wage/income gap (28.0% compared to 28.7%, a difference of 2.4%), householder income under 25 years ($54,800 compared to $51,230, a difference of 7.0%), and median female earnings ($44,911 compared to $38,457, a difference of 16.8%).
Burmese vs French Income
Income MetricBurmeseFrench
Per Capita Income
Exceptional
$52,005
Average
$43,685
Median Family Income
Exceptional
$123,369
Average
$102,368
Median Household Income
Exceptional
$103,145
Fair
$83,468
Median Earnings
Exceptional
$54,559
Average
$46,296
Median Male Earnings
Exceptional
$65,236
Good
$55,350
Median Female Earnings
Exceptional
$44,911
Tragic
$38,457
Householder Age | Under 25 years
Exceptional
$54,800
Tragic
$51,230
Householder Age | 25 - 44 years
Exceptional
$113,701
Fair
$93,665
Householder Age | 45 - 64 years
Exceptional
$121,444
Average
$99,824
Householder Age | Over 65 years
Exceptional
$71,139
Fair
$59,656
Wage/Income Gap
Tragic
28.0%
Tragic
28.7%

Burmese vs French Poverty

When considering poverty, the most significant differences between Burmese and French communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 17.5%, a difference of 32.6%), female poverty among 25-34 year olds (11.2% compared to 14.3%, a difference of 27.9%), and receiving food stamps (8.6% compared to 10.7%, a difference of 23.9%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.3% compared to 4.3%, a difference of 0.48%), seniors poverty over the age of 65 (10.1% compared to 9.7%, a difference of 4.2%), and seniors poverty over the age of 75 (11.7% compared to 11.1%, a difference of 5.1%).
Burmese vs French Poverty
Poverty MetricBurmeseFrench
Poverty
Exceptional
10.7%
Excellent
11.8%
Families
Exceptional
7.3%
Exceptional
8.3%
Males
Exceptional
9.7%
Excellent
10.7%
Females
Exceptional
11.6%
Excellent
12.9%
Females 18 to 24 years
Exceptional
18.9%
Tragic
20.7%
Females 25 to 34 years
Exceptional
11.2%
Tragic
14.3%
Children Under 5 years
Exceptional
13.2%
Fair
17.5%
Children Under 16 years
Exceptional
12.8%
Good
15.6%
Boys Under 16 years
Exceptional
13.0%
Good
15.8%
Girls Under 16 years
Exceptional
13.0%
Good
16.0%
Single Males
Exceptional
11.7%
Tragic
14.4%
Single Females
Exceptional
18.3%
Tragic
22.2%
Single Fathers
Exceptional
15.5%
Tragic
18.2%
Single Mothers
Exceptional
26.2%
Tragic
30.7%
Married Couples
Exceptional
4.3%
Exceptional
4.3%
Seniors Over 65 years
Exceptional
10.1%
Exceptional
9.7%
Seniors Over 75 years
Excellent
11.7%
Exceptional
11.1%
Receiving Food Stamps
Exceptional
8.6%
Exceptional
10.7%

Burmese vs French Unemployment

When considering unemployment, the most significant differences between Burmese and French communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 8.2%, a difference of 25.9%), unemployment among seniors over 75 years (8.2% compared to 10.3%, a difference of 25.7%), and unemployment among women with children ages 6 to 17 years (8.0% compared to 9.7%, a difference of 21.9%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.2% compared to 10.1%, a difference of 0.45%), unemployment among ages 16 to 19 years (17.0% compared to 16.8%, a difference of 0.83%), and unemployment among youth under 25 years (11.3% compared to 11.2%, a difference of 1.4%).
Burmese vs French Unemployment
Unemployment MetricBurmeseFrench
Unemployment
Exceptional
4.9%
Exceptional
4.8%
Males
Exceptional
4.9%
Exceptional
5.0%
Females
Exceptional
5.0%
Exceptional
4.8%
Youth < 25
Excellent
11.3%
Exceptional
11.2%
Age | 16 to 19 years
Exceptional
17.0%
Exceptional
16.8%
Age | 20 to 24 years
Excellent
10.2%
Excellent
10.1%
Age | 25 to 29 years
Exceptional
6.2%
Poor
6.9%
Age | 30 to 34 years
Exceptional
5.1%
Poor
5.7%
Age | 35 to 44 years
Exceptional
4.3%
Average
4.7%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.5%
Exceptional
4.7%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.7%
Age | 65 to 74 years
Exceptional
5.2%
Average
5.4%
Seniors > 65
Exceptional
5.0%
Good
5.1%
Seniors > 75
Exceptional
8.2%
Tragic
10.3%
Women w/ Children < 6
Exceptional
6.5%
Tragic
8.2%
Women w/ Children 6 to 17
Exceptional
8.0%
Tragic
9.7%
Women w/ Children < 18
Exceptional
4.9%
Excellent
5.2%

Burmese vs French Labor Participation

When considering labor participation, the most significant differences between Burmese and French communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 42.1%, a difference of 22.1%), in labor force | age 20-24 (73.6% compared to 77.4%, a difference of 5.2%), and in labor force | age > 16 (66.2% compared to 63.9%, a difference of 3.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 84.7%, a difference of 0.50%), in labor force | age 35-44 (84.7% compared to 84.0%, a difference of 0.80%), and in labor force | age 30-34 (85.3% compared to 84.4%, a difference of 1.0%).
Burmese vs French Labor Participation
Labor Participation MetricBurmeseFrench
In Labor Force | Age > 16
Exceptional
66.2%
Tragic
63.9%
In Labor Force | Age 20-64
Exceptional
80.3%
Tragic
78.9%
In Labor Force | Age 16-19
Tragic
34.5%
Exceptional
42.1%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
77.4%
In Labor Force | Age 25-29
Exceptional
85.1%
Good
84.7%
In Labor Force | Age 30-34
Exceptional
85.3%
Poor
84.4%
In Labor Force | Age 35-44
Exceptional
84.7%
Tragic
84.0%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
82.2%

Burmese vs French Family Structure

When considering family structure, the most significant differences between Burmese and French communities in the United States are seen in births to unmarried women (26.4% compared to 33.4%, a difference of 26.8%), divorced or separated (10.7% compared to 12.8%, a difference of 19.1%), and single father households (2.0% compared to 2.4%, a difference of 16.6%). Conversely, both communities are more comparable in terms of currently married (48.9% compared to 48.4%, a difference of 1.1%), family households (65.7% compared to 64.0%, a difference of 2.7%), and married-couple households (49.8% compared to 48.0%, a difference of 3.8%).
Burmese vs French Family Structure
Family Structure MetricBurmeseFrench
Family Households
Exceptional
65.7%
Fair
64.0%
Family Households with Children
Exceptional
28.5%
Tragic
26.7%
Married-couple Households
Exceptional
49.8%
Exceptional
48.0%
Average Family Size
Fair
3.22
Tragic
3.10
Single Father Households
Exceptional
2.0%
Fair
2.4%
Single Mother Households
Exceptional
5.3%
Excellent
6.0%
Currently Married
Exceptional
48.9%
Exceptional
48.4%
Divorced or Separated
Exceptional
10.7%
Tragic
12.8%
Births to Unmarried Women
Exceptional
26.4%
Tragic
33.4%

Burmese vs French Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and French communities in the United States are seen in no vehicles in household (9.7% compared to 7.4%, a difference of 30.0%), 3 or more vehicles in household (20.6% compared to 21.4%, a difference of 3.7%), and 2 or more vehicles in household (57.8% compared to 59.8%, a difference of 3.4%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.8% compared to 6.9%, a difference of 1.5%), 1 or more vehicles in household (90.4% compared to 92.7%, a difference of 2.5%), and 2 or more vehicles in household (57.8% compared to 59.8%, a difference of 3.4%).
Burmese vs French Vehicle Availability
Vehicle Availability MetricBurmeseFrench
No Vehicles Available
Excellent
9.7%
Exceptional
7.4%
1+ Vehicles Available
Excellent
90.4%
Exceptional
92.7%
2+ Vehicles Available
Exceptional
57.8%
Exceptional
59.8%
3+ Vehicles Available
Exceptional
20.6%
Exceptional
21.4%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
6.9%

Burmese vs French Education Level

When considering education level, the most significant differences between Burmese and French communities in the United States are seen in professional degree (6.1% compared to 4.2%, a difference of 44.6%), doctorate degree (2.6% compared to 1.8%, a difference of 43.6%), and master's degree (19.7% compared to 14.4%, a difference of 37.2%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (92.6% compared to 92.6%, a difference of 0.010%), high school diploma (90.8% compared to 91.0%, a difference of 0.15%), and 11th grade (93.6% compared to 94.1%, a difference of 0.47%).
Burmese vs French Education Level
Education Level MetricBurmeseFrench
No Schooling Completed
Excellent
1.9%
Exceptional
1.5%
Nursery School
Excellent
98.1%
Exceptional
98.6%
Kindergarten
Excellent
98.1%
Exceptional
98.6%
1st Grade
Excellent
98.0%
Exceptional
98.6%
2nd Grade
Excellent
98.0%
Exceptional
98.5%
3rd Grade
Good
97.9%
Exceptional
98.4%
4th Grade
Excellent
97.7%
Exceptional
98.3%
5th Grade
Excellent
97.5%
Exceptional
98.2%
6th Grade
Excellent
97.3%
Exceptional
98.0%
7th Grade
Excellent
96.3%
Exceptional
97.4%
8th Grade
Exceptional
96.1%
Exceptional
97.1%
9th Grade
Exceptional
95.4%
Exceptional
96.3%
10th Grade
Exceptional
94.5%
Exceptional
95.3%
11th Grade
Exceptional
93.6%
Exceptional
94.1%
12th Grade, No Diploma
Exceptional
92.6%
Exceptional
92.6%
High School Diploma
Exceptional
90.8%
Exceptional
91.0%
GED/Equivalency
Exceptional
88.3%
Exceptional
87.1%
College, Under 1 year
Exceptional
71.9%
Average
65.4%
College, 1 year or more
Exceptional
66.7%
Fair
58.9%
Associate's Degree
Exceptional
54.6%
Fair
45.4%
Bachelor's Degree
Exceptional
46.9%
Poor
36.5%
Master's Degree
Exceptional
19.7%
Fair
14.4%
Professional Degree
Exceptional
6.1%
Fair
4.2%
Doctorate Degree
Exceptional
2.6%
Average
1.8%

Burmese vs French Disability

When considering disability, the most significant differences between Burmese and French communities in the United States are seen in disability age under 5 (1.1% compared to 1.7%, a difference of 50.6%), disability age 35 to 64 (9.2% compared to 12.7%, a difference of 37.7%), and disability age 5 to 17 (4.8% compared to 6.4%, a difference of 34.2%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 17.0%, a difference of 2.1%), disability age over 75 (45.9% compared to 47.2%, a difference of 2.8%), and self-care disability (2.3% compared to 2.5%, a difference of 12.0%).
Burmese vs French Disability
Disability MetricBurmeseFrench
Disability
Exceptional
10.4%
Tragic
13.2%
Males
Exceptional
10.0%
Tragic
13.0%
Females
Exceptional
10.7%
Tragic
13.3%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.7%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
6.4%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
7.9%
Age | 35 to 64 years
Exceptional
9.2%
Tragic
12.7%
Age | 65 to 74 years
Exceptional
20.6%
Poor
23.9%
Age | Over 75 years
Exceptional
45.9%
Good
47.2%
Vision
Exceptional
1.8%
Tragic
2.3%
Hearing
Exceptional
2.8%
Tragic
3.8%
Cognitive
Exceptional
16.7%
Excellent
17.0%
Ambulatory
Exceptional
5.3%
Tragic
6.6%
Self-Care
Exceptional
2.3%
Tragic
2.5%