French Canadian vs Bangladeshi Community Comparison

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French Canadian
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 EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianGermanGerman 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 Canadians

Bangladeshis

Average
Fair
5,542
SOCIAL INDEX
52.9/ 100
SOCIAL RATING
175th/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK

Bangladeshi Integration in French Canadian Communities

The statistical analysis conducted on geographies consisting of 138,745,019 people shows a strong positive correlation between the proportion of Bangladeshis within French Canadian communities in the United States with a correlation coefficient (R) of 0.778. On average, for every 1% (one percent) increase in French Canadians within a typical geography, there is an increase of 0.227% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 French Canadians corresponds to an increase of 226.7 Bangladeshis.
French Canadian Integration in Bangladeshi Communities

French Canadian vs Bangladeshi Income

When considering income, the most significant differences between French Canadian and Bangladeshi communities in the United States are seen in wage/income gap (28.1% compared to 22.2%, a difference of 26.6%), per capita income ($43,003 compared to $35,897, a difference of 19.8%), and median male earnings ($54,722 compared to $46,744, a difference of 17.1%). Conversely, both communities are more comparable in terms of householder income over 65 years ($57,975 compared to $54,719, a difference of 5.9%), median female earnings ($38,436 compared to $35,960, a difference of 6.9%), and householder income under 25 years ($52,672 compared to $47,589, a difference of 10.7%).
French Canadian vs Bangladeshi Income
Income MetricFrench CanadianBangladeshi
Per Capita Income
Fair
$43,003
Tragic
$35,897
Median Family Income
Fair
$101,634
Tragic
$88,358
Median Household Income
Poor
$82,810
Tragic
$74,112
Median Earnings
Fair
$46,026
Tragic
$41,263
Median Male Earnings
Average
$54,722
Tragic
$46,744
Median Female Earnings
Tragic
$38,436
Tragic
$35,960
Householder Age | Under 25 years
Good
$52,672
Tragic
$47,589
Householder Age | 25 - 44 years
Fair
$93,694
Tragic
$81,363
Householder Age | 45 - 64 years
Fair
$99,093
Tragic
$86,402
Householder Age | Over 65 years
Tragic
$57,975
Tragic
$54,719
Wage/Income Gap
Tragic
28.1%
Exceptional
22.2%

French Canadian vs Bangladeshi Poverty

When considering poverty, the most significant differences between French Canadian and Bangladeshi communities in the United States are seen in married-couple family poverty (4.2% compared to 6.0%, a difference of 41.4%), family poverty (8.1% compared to 10.9%, a difference of 33.9%), and receiving food stamps (11.4% compared to 15.0%, a difference of 32.0%). Conversely, both communities are more comparable in terms of single mother poverty (30.8% compared to 31.7%, a difference of 2.9%), seniors poverty over the age of 75 (11.4% compared to 12.0%, a difference of 4.8%), and single female poverty (22.2% compared to 24.2%, a difference of 9.0%).
French Canadian vs Bangladeshi Poverty
Poverty MetricFrench CanadianBangladeshi
Poverty
Exceptional
11.6%
Tragic
14.8%
Families
Exceptional
8.1%
Tragic
10.9%
Males
Exceptional
10.5%
Tragic
13.6%
Females
Exceptional
12.7%
Tragic
16.0%
Females 18 to 24 years
Good
19.9%
Tragic
22.5%
Females 25 to 34 years
Tragic
14.3%
Tragic
15.9%
Children Under 5 years
Fair
17.7%
Tragic
20.6%
Children Under 16 years
Good
15.6%
Tragic
19.9%
Boys Under 16 years
Good
15.9%
Tragic
20.0%
Girls Under 16 years
Good
16.1%
Tragic
20.0%
Single Males
Tragic
14.6%
Tragic
13.3%
Single Females
Tragic
22.2%
Tragic
24.2%
Single Fathers
Tragic
18.6%
Exceptional
15.2%
Single Mothers
Tragic
30.8%
Tragic
31.7%
Married Couples
Exceptional
4.2%
Tragic
6.0%
Seniors Over 65 years
Exceptional
9.8%
Fair
11.2%
Seniors Over 75 years
Exceptional
11.4%
Good
12.0%
Receiving Food Stamps
Good
11.4%
Tragic
15.0%

French Canadian vs Bangladeshi Unemployment

When considering unemployment, the most significant differences between French Canadian and Bangladeshi communities in the United States are seen in unemployment among women with children ages 6 to 17 years (10.3% compared to 7.4%, a difference of 40.1%), unemployment among seniors over 75 years (11.2% compared to 9.6%, a difference of 16.4%), and unemployment among women with children under 6 years (8.4% compared to 7.5%, a difference of 11.9%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.8% compared to 16.9%, a difference of 0.67%), unemployment among ages 55 to 59 years (4.8% compared to 4.7%, a difference of 1.0%), and unemployment among ages 35 to 44 years (4.8% compared to 4.8%, a difference of 1.2%).
French Canadian vs Bangladeshi Unemployment
Unemployment MetricFrench CanadianBangladeshi
Unemployment
Exceptional
4.9%
Poor
5.4%
Males
Excellent
5.1%
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
Good
10.2%
Exceptional
10.0%
Age | 25 to 29 years
Tragic
7.0%
Average
6.6%
Age | 30 to 34 years
Tragic
5.8%
Good
5.3%
Age | 35 to 44 years
Poor
4.8%
Fair
4.8%
Age | 45 to 54 years
Exceptional
4.4%
Average
4.5%
Age | 55 to 59 years
Excellent
4.8%
Exceptional
4.7%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.6%
Age | 65 to 74 years
Tragic
5.6%
Good
5.3%
Seniors > 65
Tragic
5.4%
Fair
5.2%
Seniors > 75
Tragic
11.2%
Tragic
9.6%
Women w/ Children < 6
Tragic
8.4%
Good
7.5%
Women w/ Children 6 to 17
Tragic
10.3%
Exceptional
7.4%
Women w/ Children < 18
Excellent
5.2%
Good
5.3%

French Canadian vs Bangladeshi Labor Participation

When considering labor participation, the most significant differences between French Canadian and Bangladeshi communities in the United States are seen in in labor force | age > 16 (64.0% compared to 65.9%, a difference of 3.0%), in labor force | age 16-19 (43.6% compared to 42.5%, a difference of 2.6%), and in labor force | age 45-54 (82.5% compared to 81.3%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (78.1% compared to 78.1%, a difference of 0.070%), in labor force | age 25-29 (85.2% compared to 85.1%, a difference of 0.10%), and in labor force | age 20-64 (79.2% compared to 79.3%, a difference of 0.15%).
French Canadian vs Bangladeshi Labor Participation
Labor Participation MetricFrench CanadianBangladeshi
In Labor Force | Age > 16
Tragic
64.0%
Exceptional
65.9%
In Labor Force | Age 20-64
Tragic
79.2%
Poor
79.3%
In Labor Force | Age 16-19
Exceptional
43.6%
Exceptional
42.5%
In Labor Force | Age 20-24
Exceptional
78.1%
Exceptional
78.1%
In Labor Force | Age 25-29
Exceptional
85.2%
Exceptional
85.1%
In Labor Force | Age 30-34
Good
84.8%
Tragic
84.3%
In Labor Force | Age 35-44
Average
84.3%
Poor
84.1%
In Labor Force | Age 45-54
Poor
82.5%
Tragic
81.3%

French Canadian vs Bangladeshi Family Structure

When considering family structure, the most significant differences between French Canadian and Bangladeshi communities in the United States are seen in single mother households (6.0% compared to 8.1%, a difference of 34.7%), single father households (2.4% compared to 3.1%, a difference of 28.7%), and family households with children (26.1% compared to 30.1%, a difference of 15.1%). Conversely, both communities are more comparable in terms of births to unmarried women (34.4% compared to 34.4%, a difference of 0.020%), family households (63.7% compared to 64.3%, a difference of 0.90%), and divorced or separated (12.8% compared to 12.3%, a difference of 4.6%).
French Canadian vs Bangladeshi Family Structure
Family Structure MetricFrench CanadianBangladeshi
Family Households
Tragic
63.7%
Average
64.3%
Family Households with Children
Tragic
26.1%
Exceptional
30.1%
Married-couple Households
Exceptional
47.5%
Tragic
43.5%
Average Family Size
Tragic
3.07
Exceptional
3.37
Single Father Households
Fair
2.4%
Tragic
3.1%
Single Mother Households
Excellent
6.0%
Tragic
8.1%
Currently Married
Exceptional
48.0%
Tragic
43.7%
Divorced or Separated
Tragic
12.8%
Poor
12.3%
Births to Unmarried Women
Tragic
34.4%
Tragic
34.4%

French Canadian vs Bangladeshi Vehicle Availability

When considering vehicle availability, the most significant differences between French Canadian and Bangladeshi communities in the United States are seen in 4 or more vehicles in household (6.6% compared to 7.6%, a difference of 14.3%), no vehicles in household (7.8% compared to 8.7%, a difference of 10.5%), and 3 or more vehicles in household (20.6% compared to 21.9%, a difference of 6.2%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (58.9% compared to 58.4%, a difference of 0.74%), 1 or more vehicles in household (92.3% compared to 91.4%, a difference of 1.0%), and 3 or more vehicles in household (20.6% compared to 21.9%, a difference of 6.2%).
French Canadian vs Bangladeshi Vehicle Availability
Vehicle Availability MetricFrench CanadianBangladeshi
No Vehicles Available
Exceptional
7.8%
Exceptional
8.7%
1+ Vehicles Available
Exceptional
92.3%
Exceptional
91.4%
2+ Vehicles Available
Exceptional
58.9%
Exceptional
58.4%
3+ Vehicles Available
Exceptional
20.6%
Exceptional
21.9%
4+ Vehicles Available
Excellent
6.6%
Exceptional
7.6%

French Canadian vs Bangladeshi Education Level

When considering education level, the most significant differences between French Canadian and Bangladeshi communities in the United States are seen in no schooling completed (1.5% compared to 3.5%, a difference of 136.0%), doctorate degree (1.8% compared to 1.2%, a difference of 47.2%), and master's degree (14.1% compared to 10.5%, a difference of 34.4%). 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 (98.5% compared to 96.5%, a difference of 2.1%).
French Canadian vs Bangladeshi Education Level
Education Level MetricFrench CanadianBangladeshi
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
98.5%
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
97.2%
Tragic
94.3%
9th Grade
Exceptional
96.3%
Tragic
93.4%
10th Grade
Exceptional
95.3%
Tragic
92.2%
11th Grade
Exceptional
94.0%
Tragic
90.9%
12th Grade, No Diploma
Exceptional
92.6%
Tragic
89.3%
High School Diploma
Exceptional
90.9%
Tragic
86.9%
GED/Equivalency
Exceptional
86.9%
Tragic
83.1%
College, Under 1 year
Poor
64.2%
Tragic
61.4%
College, 1 year or more
Poor
57.8%
Tragic
54.5%
Associate's Degree
Poor
44.9%
Tragic
40.0%
Bachelor's Degree
Tragic
35.6%
Tragic
30.2%
Master's Degree
Poor
14.1%
Tragic
10.5%
Professional Degree
Tragic
4.0%
Tragic
3.1%
Doctorate Degree
Fair
1.8%
Tragic
1.2%

French Canadian vs Bangladeshi Disability

When considering disability, the most significant differences between French Canadian and Bangladeshi communities in the United States are seen in disability age under 5 (1.9% compared to 1.3%, a difference of 45.9%), hearing disability (3.8% compared to 3.2%, a difference of 20.4%), and disability age 5 to 17 (6.7% compared to 5.8%, a difference of 15.6%). Conversely, both communities are more comparable in terms of vision disability (2.3% compared to 2.3%, a difference of 3.3%), female disability (13.6% compared to 13.1%, a difference of 3.7%), and disability age over 75 (47.0% compared to 49.4%, a difference of 5.2%).
French Canadian vs Bangladeshi Disability
Disability MetricFrench CanadianBangladeshi
Disability
Tragic
13.4%
Tragic
12.6%
Males
Tragic
13.3%
Tragic
12.0%
Females
Tragic
13.6%
Tragic
13.1%
Age | Under 5 years
Tragic
1.9%
Poor
1.3%
Age | 5 to 17 years
Tragic
6.7%
Tragic
5.8%
Age | 18 to 34 years
Tragic
8.1%
Tragic
7.4%
Age | 35 to 64 years
Tragic
12.9%
Tragic
13.6%
Age | 65 to 74 years
Fair
23.7%
Tragic
26.8%
Age | Over 75 years
Good
47.0%
Tragic
49.4%
Vision
Tragic
2.3%
Tragic
2.3%
Hearing
Tragic
3.8%
Tragic
3.2%
Cognitive
Excellent
17.1%
Tragic
18.6%
Ambulatory
Tragic
6.7%
Poor
6.3%
Self-Care
Tragic
2.6%
Tragic
2.8%