French vs Bangladeshi Community Comparison

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French
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish 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 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
Bangladeshi
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

French

Bangladeshis

Average
Fair
5,755
SOCIAL INDEX
55.1/ 100
SOCIAL RATING
169th/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK

Bangladeshi Integration in French Communities

The statistical analysis conducted on geographies consisting of 141,365,838 people shows a poor negative correlation between the proportion of Bangladeshis within French communities in the United States with a correlation coefficient (R) of -0.153. On average, for every 1% (one percent) increase in French within a typical geography, there is a decrease of 0.013% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 French corresponds to a decrease of 12.7 Bangladeshis.
French Integration in Bangladeshi Communities

French vs Bangladeshi Income

When considering income, the most significant differences between French and Bangladeshi communities in the United States are seen in wage/income gap (28.7% compared to 22.2%, a difference of 29.4%), per capita income ($43,685 compared to $35,897, a difference of 21.7%), and median male earnings ($55,350 compared to $46,744, a difference of 18.4%). Conversely, both communities are more comparable in terms of median female earnings ($38,457 compared to $35,960, a difference of 6.9%), householder income under 25 years ($51,230 compared to $47,589, a difference of 7.6%), and householder income over 65 years ($59,656 compared to $54,719, a difference of 9.0%).
French vs Bangladeshi Income
Income MetricFrenchBangladeshi
Per Capita Income
Average
$43,685
Tragic
$35,897
Median Family Income
Average
$102,368
Tragic
$88,358
Median Household Income
Fair
$83,468
Tragic
$74,112
Median Earnings
Average
$46,296
Tragic
$41,263
Median Male Earnings
Good
$55,350
Tragic
$46,744
Median Female Earnings
Tragic
$38,457
Tragic
$35,960
Householder Age | Under 25 years
Tragic
$51,230
Tragic
$47,589
Householder Age | 25 - 44 years
Fair
$93,665
Tragic
$81,363
Householder Age | 45 - 64 years
Average
$99,824
Tragic
$86,402
Householder Age | Over 65 years
Fair
$59,656
Tragic
$54,719
Wage/Income Gap
Tragic
28.7%
Exceptional
22.2%

French vs Bangladeshi Poverty

When considering poverty, the most significant differences between French and Bangladeshi communities in the United States are seen in receiving food stamps (10.7% compared to 15.0%, a difference of 40.4%), married-couple family poverty (4.3% compared to 6.0%, a difference of 38.5%), and family poverty (8.3% compared to 10.9%, a difference of 32.0%). Conversely, both communities are more comparable in terms of single mother poverty (30.7% compared to 31.7%, a difference of 3.4%), seniors poverty over the age of 75 (11.1% compared to 12.0%, a difference of 7.8%), and single male poverty (14.4% compared to 13.3%, a difference of 8.0%).
French vs Bangladeshi Poverty
Poverty MetricFrenchBangladeshi
Poverty
Excellent
11.8%
Tragic
14.8%
Families
Exceptional
8.3%
Tragic
10.9%
Males
Excellent
10.7%
Tragic
13.6%
Females
Excellent
12.9%
Tragic
16.0%
Females 18 to 24 years
Tragic
20.7%
Tragic
22.5%
Females 25 to 34 years
Tragic
14.3%
Tragic
15.9%
Children Under 5 years
Fair
17.5%
Tragic
20.6%
Children Under 16 years
Good
15.6%
Tragic
19.9%
Boys Under 16 years
Good
15.8%
Tragic
20.0%
Girls Under 16 years
Good
16.0%
Tragic
20.0%
Single Males
Tragic
14.4%
Tragic
13.3%
Single Females
Tragic
22.2%
Tragic
24.2%
Single Fathers
Tragic
18.2%
Exceptional
15.2%
Single Mothers
Tragic
30.7%
Tragic
31.7%
Married Couples
Exceptional
4.3%
Tragic
6.0%
Seniors Over 65 years
Exceptional
9.7%
Fair
11.2%
Seniors Over 75 years
Exceptional
11.1%
Good
12.0%
Receiving Food Stamps
Exceptional
10.7%
Tragic
15.0%

French vs Bangladeshi Unemployment

When considering unemployment, the most significant differences between French and Bangladeshi communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.7% compared to 7.4%, a difference of 31.9%), male unemployment (5.0% compared to 5.7%, a difference of 12.4%), and unemployment (4.8% compared to 5.4%, a difference of 12.1%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.28%), unemployment among ages 16 to 19 years (16.8% compared to 16.9%, a difference of 0.60%), and unemployment among ages 65 to 74 years (5.4% compared to 5.3%, a difference of 0.78%).
French vs Bangladeshi Unemployment
Unemployment MetricFrenchBangladeshi
Unemployment
Exceptional
4.8%
Poor
5.4%
Males
Exceptional
5.0%
Tragic
5.7%
Females
Exceptional
4.8%
Good
5.2%
Youth < 25
Exceptional
11.2%
Average
11.6%
Age | 16 to 19 years
Exceptional
16.8%
Exceptional
16.9%
Age | 20 to 24 years
Excellent
10.1%
Exceptional
10.0%
Age | 25 to 29 years
Poor
6.9%
Average
6.6%
Age | 30 to 34 years
Poor
5.7%
Good
5.3%
Age | 35 to 44 years
Average
4.7%
Fair
4.8%
Age | 45 to 54 years
Exceptional
4.3%
Average
4.5%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.7%
Age | 60 to 64 years
Exceptional
4.7%
Exceptional
4.6%
Age | 65 to 74 years
Average
5.4%
Good
5.3%
Seniors > 65
Good
5.1%
Fair
5.2%
Seniors > 75
Tragic
10.3%
Tragic
9.6%
Women w/ Children < 6
Tragic
8.2%
Good
7.5%
Women w/ Children 6 to 17
Tragic
9.7%
Exceptional
7.4%
Women w/ Children < 18
Excellent
5.2%
Good
5.3%

French vs Bangladeshi Labor Participation

When considering labor participation, the most significant differences between French and Bangladeshi communities in the United States are seen in in labor force | age > 16 (63.9% compared to 65.9%, a difference of 3.2%), in labor force | age 45-54 (82.2% compared to 81.3%, a difference of 1.1%), and in labor force | age 20-24 (77.4% compared to 78.1%, a difference of 0.96%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.4% compared to 84.3%, a difference of 0.080%), in labor force | age 35-44 (84.0% compared to 84.1%, a difference of 0.11%), and in labor force | age 25-29 (84.7% compared to 85.1%, a difference of 0.42%).
French vs Bangladeshi Labor Participation
Labor Participation MetricFrenchBangladeshi
In Labor Force | Age > 16
Tragic
63.9%
Exceptional
65.9%
In Labor Force | Age 20-64
Tragic
78.9%
Poor
79.3%
In Labor Force | Age 16-19
Exceptional
42.1%
Exceptional
42.5%
In Labor Force | Age 20-24
Exceptional
77.4%
Exceptional
78.1%
In Labor Force | Age 25-29
Good
84.7%
Exceptional
85.1%
In Labor Force | Age 30-34
Poor
84.4%
Tragic
84.3%
In Labor Force | Age 35-44
Tragic
84.0%
Poor
84.1%
In Labor Force | Age 45-54
Tragic
82.2%
Tragic
81.3%

French vs Bangladeshi Family Structure

When considering family structure, the most significant differences between French and Bangladeshi communities in the United States are seen in single mother households (6.0% compared to 8.1%, a difference of 35.6%), single father households (2.4% compared to 3.1%, a difference of 29.5%), and family households with children (26.7% compared to 30.1%, a difference of 12.7%). Conversely, both communities are more comparable in terms of family households (64.0% compared to 64.3%, a difference of 0.32%), births to unmarried women (33.4% compared to 34.4%, a difference of 2.9%), and divorced or separated (12.8% compared to 12.3%, a difference of 3.9%).
French vs Bangladeshi Family Structure
Family Structure MetricFrenchBangladeshi
Family Households
Fair
64.0%
Average
64.3%
Family Households with Children
Tragic
26.7%
Exceptional
30.1%
Married-couple Households
Exceptional
48.0%
Tragic
43.5%
Average Family Size
Tragic
3.10
Exceptional
3.37
Single Father Households
Fair
2.4%
Tragic
3.1%
Single Mother Households
Excellent
6.0%
Tragic
8.1%
Currently Married
Exceptional
48.4%
Tragic
43.7%
Divorced or Separated
Tragic
12.8%
Poor
12.3%
Births to Unmarried Women
Tragic
33.4%
Tragic
34.4%

French vs Bangladeshi Vehicle Availability

When considering vehicle availability, the most significant differences between French and Bangladeshi communities in the United States are seen in no vehicles in household (7.4% compared to 8.7%, a difference of 16.5%), 4 or more vehicles in household (6.9% compared to 7.6%, a difference of 9.0%), and 2 or more vehicles in household (59.8% compared to 58.4%, a difference of 2.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.7% compared to 91.4%, a difference of 1.4%), 3 or more vehicles in household (21.4% compared to 21.9%, a difference of 2.1%), and 2 or more vehicles in household (59.8% compared to 58.4%, a difference of 2.3%).
French vs Bangladeshi Vehicle Availability
Vehicle Availability MetricFrenchBangladeshi
No Vehicles Available
Exceptional
7.4%
Exceptional
8.7%
1+ Vehicles Available
Exceptional
92.7%
Exceptional
91.4%
2+ Vehicles Available
Exceptional
59.8%
Exceptional
58.4%
3+ Vehicles Available
Exceptional
21.4%
Exceptional
21.9%
4+ Vehicles Available
Exceptional
6.9%
Exceptional
7.6%

French vs Bangladeshi Education Level

When considering education level, the most significant differences between French and Bangladeshi communities in the United States are seen in no schooling completed (1.5% compared to 3.5%, a difference of 138.7%), doctorate degree (1.8% compared to 1.2%, a difference of 51.6%), and professional degree (4.2% compared to 3.1%, a difference of 37.5%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 96.6%, a difference of 2.1%), kindergarten (98.6% compared to 96.6%, a difference of 2.1%), and 1st grade (98.6% compared to 96.5%, a difference of 2.1%).
French vs Bangladeshi Education Level
Education Level MetricFrenchBangladeshi
No Schooling Completed
Exceptional
1.5%
Tragic
3.5%
Nursery School
Exceptional
98.6%
Tragic
96.6%
Kindergarten
Exceptional
98.6%
Tragic
96.6%
1st Grade
Exceptional
98.6%
Tragic
96.5%
2nd Grade
Exceptional
98.5%
Tragic
96.5%
3rd Grade
Exceptional
98.4%
Tragic
96.3%
4th Grade
Exceptional
98.3%
Tragic
96.1%
5th Grade
Exceptional
98.2%
Tragic
95.9%
6th Grade
Exceptional
98.0%
Tragic
95.7%
7th Grade
Exceptional
97.4%
Tragic
94.5%
8th Grade
Exceptional
97.1%
Tragic
94.3%
9th Grade
Exceptional
96.3%
Tragic
93.4%
10th Grade
Exceptional
95.3%
Tragic
92.2%
11th Grade
Exceptional
94.1%
Tragic
90.9%
12th Grade, No Diploma
Exceptional
92.6%
Tragic
89.3%
High School Diploma
Exceptional
91.0%
Tragic
86.9%
GED/Equivalency
Exceptional
87.1%
Tragic
83.1%
College, Under 1 year
Average
65.4%
Tragic
61.4%
College, 1 year or more
Fair
58.9%
Tragic
54.5%
Associate's Degree
Fair
45.4%
Tragic
40.0%
Bachelor's Degree
Poor
36.5%
Tragic
30.2%
Master's Degree
Fair
14.4%
Tragic
10.5%
Professional Degree
Fair
4.2%
Tragic
3.1%
Doctorate Degree
Average
1.8%
Tragic
1.2%

French vs Bangladeshi Disability

When considering disability, the most significant differences between French and Bangladeshi communities in the United States are seen in disability age under 5 (1.7% compared to 1.3%, a difference of 31.3%), hearing disability (3.8% compared to 3.2%, a difference of 18.6%), and disability age 65 to 74 (23.9% compared to 26.8%, a difference of 12.3%). Conversely, both communities are more comparable in terms of vision disability (2.3% compared to 2.3%, a difference of 0.15%), female disability (13.3% compared to 13.1%, a difference of 1.6%), and disability age over 75 (47.2% compared to 49.4%, a difference of 4.8%).
French vs Bangladeshi Disability
Disability MetricFrenchBangladeshi
Disability
Tragic
13.2%
Tragic
12.6%
Males
Tragic
13.0%
Tragic
12.0%
Females
Tragic
13.3%
Tragic
13.1%
Age | Under 5 years
Tragic
1.7%
Poor
1.3%
Age | 5 to 17 years
Tragic
6.4%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.9%
Tragic
7.4%
Age | 35 to 64 years
Tragic
12.7%
Tragic
13.6%
Age | 65 to 74 years
Poor
23.9%
Tragic
26.8%
Age | Over 75 years
Good
47.2%
Tragic
49.4%
Vision
Tragic
2.3%
Tragic
2.3%
Hearing
Tragic
3.8%
Tragic
3.2%
Cognitive
Excellent
17.0%
Tragic
18.6%
Ambulatory
Tragic
6.6%
Poor
6.3%
Self-Care
Tragic
2.5%
Tragic
2.8%