Mongolian vs Bangladeshi Community Comparison

COMPARE

Mongolian
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 IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMoroccanNative 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

Mongolians

Bangladeshis

Good
Fair
8,008
SOCIAL INDEX
77.6/ 100
SOCIAL RATING
93rd/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK

Bangladeshi Integration in Mongolian Communities

The statistical analysis conducted on geographies consisting of 77,569,331 people shows a weak positive correlation between the proportion of Bangladeshis within Mongolian communities in the United States with a correlation coefficient (R) of 0.239. On average, for every 1% (one percent) increase in Mongolians within a typical geography, there is an increase of 0.563% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Mongolians corresponds to an increase of 562.9 Bangladeshis.
Mongolian Integration in Bangladeshi Communities

Mongolian vs Bangladeshi Income

When considering income, the most significant differences between Mongolian and Bangladeshi communities in the United States are seen in per capita income ($49,173 compared to $35,897, a difference of 37.0%), median family income ($114,553 compared to $88,358, a difference of 29.6%), and householder income ages 45 - 64 years ($111,602 compared to $86,402, a difference of 29.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,540 compared to $47,589, a difference of 10.4%), median female earnings ($42,542 compared to $35,960, a difference of 18.3%), and householder income over 65 years ($65,326 compared to $54,719, a difference of 19.4%).
Mongolian vs Bangladeshi Income
Income MetricMongolianBangladeshi
Per Capita Income
Exceptional
$49,173
Tragic
$35,897
Median Family Income
Exceptional
$114,553
Tragic
$88,358
Median Household Income
Exceptional
$93,971
Tragic
$74,112
Median Earnings
Exceptional
$51,038
Tragic
$41,263
Median Male Earnings
Exceptional
$60,350
Tragic
$46,744
Median Female Earnings
Exceptional
$42,542
Tragic
$35,960
Householder Age | Under 25 years
Good
$52,540
Tragic
$47,589
Householder Age | 25 - 44 years
Exceptional
$104,578
Tragic
$81,363
Householder Age | 45 - 64 years
Exceptional
$111,602
Tragic
$86,402
Householder Age | Over 65 years
Exceptional
$65,326
Tragic
$54,719
Wage/Income Gap
Poor
26.6%
Exceptional
22.2%

Mongolian vs Bangladeshi Poverty

When considering poverty, the most significant differences between Mongolian and Bangladeshi communities in the United States are seen in receiving food stamps (10.5% compared to 15.0%, a difference of 44.0%), child poverty under the age of 16 (15.2% compared to 19.9%, a difference of 31.2%), and child poverty among boys under 16 (15.4% compared to 20.0%, a difference of 30.0%). Conversely, both communities are more comparable in terms of single father poverty (15.3% compared to 15.2%, a difference of 0.42%), seniors poverty over the age of 75 (12.2% compared to 12.0%, a difference of 2.2%), and seniors poverty over the age of 65 (10.9% compared to 11.2%, a difference of 3.2%).
Mongolian vs Bangladeshi Poverty
Poverty MetricMongolianBangladeshi
Poverty
Average
12.4%
Tragic
14.8%
Families
Excellent
8.6%
Tragic
10.9%
Males
Fair
11.3%
Tragic
13.6%
Females
Average
13.4%
Tragic
16.0%
Females 18 to 24 years
Tragic
21.6%
Tragic
22.5%
Females 25 to 34 years
Exceptional
12.8%
Tragic
15.9%
Children Under 5 years
Exceptional
16.1%
Tragic
20.6%
Children Under 16 years
Excellent
15.2%
Tragic
19.9%
Boys Under 16 years
Exceptional
15.4%
Tragic
20.0%
Girls Under 16 years
Excellent
15.4%
Tragic
20.0%
Single Males
Exceptional
12.2%
Tragic
13.3%
Single Females
Exceptional
20.2%
Tragic
24.2%
Single Fathers
Exceptional
15.3%
Exceptional
15.2%
Single Mothers
Exceptional
27.7%
Tragic
31.7%
Married Couples
Good
5.0%
Tragic
6.0%
Seniors Over 65 years
Average
10.9%
Fair
11.2%
Seniors Over 75 years
Average
12.2%
Good
12.0%
Receiving Food Stamps
Exceptional
10.5%
Tragic
15.0%

Mongolian vs Bangladeshi Unemployment

When considering unemployment, the most significant differences between Mongolian and Bangladeshi communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 7.5%, a difference of 16.0%), unemployment among women with children ages 6 to 17 years (8.4% compared to 7.4%, a difference of 14.3%), and unemployment among seniors over 75 years (8.6% compared to 9.6%, a difference of 11.9%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.9% compared to 16.9%, a difference of 0.070%), unemployment among ages 65 to 74 years (5.3% compared to 5.3%, a difference of 0.13%), and unemployment among seniors over 65 years (5.1% compared to 5.2%, a difference of 0.91%).
Mongolian vs Bangladeshi Unemployment
Unemployment MetricMongolianBangladeshi
Unemployment
Exceptional
5.0%
Poor
5.4%
Males
Excellent
5.1%
Tragic
5.7%
Females
Exceptional
5.0%
Good
5.2%
Youth < 25
Exceptional
11.1%
Average
11.6%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
16.9%
Age | 20 to 24 years
Exceptional
9.9%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
6.2%
Average
6.6%
Age | 30 to 34 years
Exceptional
5.2%
Good
5.3%
Age | 35 to 44 years
Exceptional
4.3%
Fair
4.8%
Age | 45 to 54 years
Exceptional
4.3%
Average
4.5%
Age | 55 to 59 years
Exceptional
4.6%
Exceptional
4.7%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.6%
Age | 65 to 74 years
Good
5.3%
Good
5.3%
Seniors > 65
Average
5.1%
Fair
5.2%
Seniors > 75
Excellent
8.6%
Tragic
9.6%
Women w/ Children < 6
Exceptional
6.5%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.4%
Exceptional
7.4%
Women w/ Children < 18
Exceptional
5.0%
Good
5.3%

Mongolian vs Bangladeshi Labor Participation

When considering labor participation, the most significant differences between Mongolian and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (35.3% compared to 42.5%, a difference of 20.4%), in labor force | age 20-24 (73.3% compared to 78.1%, a difference of 6.5%), and in labor force | age 45-54 (83.3% compared to 81.3%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 85.1%, a difference of 0.0%), in labor force | age > 16 (66.1% compared to 65.9%, a difference of 0.17%), and in labor force | age 20-64 (79.9% compared to 79.3%, a difference of 0.82%).
Mongolian vs Bangladeshi Labor Participation
Labor Participation MetricMongolianBangladeshi
In Labor Force | Age > 16
Exceptional
66.1%
Exceptional
65.9%
In Labor Force | Age 20-64
Exceptional
79.9%
Poor
79.3%
In Labor Force | Age 16-19
Tragic
35.3%
Exceptional
42.5%
In Labor Force | Age 20-24
Tragic
73.3%
Exceptional
78.1%
In Labor Force | Age 25-29
Exceptional
85.1%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.3%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
84.8%
Poor
84.1%
In Labor Force | Age 45-54
Exceptional
83.3%
Tragic
81.3%

Mongolian vs Bangladeshi Family Structure

When considering family structure, the most significant differences between Mongolian and Bangladeshi communities in the United States are seen in single father households (2.1% compared to 3.1%, a difference of 49.7%), single mother households (5.8% compared to 8.1%, a difference of 40.6%), and births to unmarried women (27.9% compared to 34.4%, a difference of 23.3%). Conversely, both communities are more comparable in terms of family households (62.8% compared to 64.3%, a difference of 2.3%), average family size (3.20 compared to 3.37, a difference of 5.3%), and currently married (46.4% compared to 43.7%, a difference of 6.3%).
Mongolian vs Bangladeshi Family Structure
Family Structure MetricMongolianBangladeshi
Family Households
Tragic
62.8%
Average
64.3%
Family Households with Children
Good
27.6%
Exceptional
30.1%
Married-couple Households
Average
46.3%
Tragic
43.5%
Average Family Size
Poor
3.20
Exceptional
3.37
Single Father Households
Exceptional
2.1%
Tragic
3.1%
Single Mother Households
Exceptional
5.8%
Tragic
8.1%
Currently Married
Fair
46.4%
Tragic
43.7%
Divorced or Separated
Exceptional
11.1%
Poor
12.3%
Births to Unmarried Women
Exceptional
27.9%
Tragic
34.4%

Mongolian vs Bangladeshi Vehicle Availability

When considering vehicle availability, the most significant differences between Mongolian and Bangladeshi communities in the United States are seen in no vehicles in household (13.1% compared to 8.7%, a difference of 51.5%), 4 or more vehicles in household (5.8% compared to 7.6%, a difference of 30.1%), and 3 or more vehicles in household (18.1% compared to 21.9%, a difference of 20.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.0% compared to 91.4%, a difference of 5.1%), 2 or more vehicles in household (52.8% compared to 58.4%, a difference of 10.6%), and 3 or more vehicles in household (18.1% compared to 21.9%, a difference of 20.7%).
Mongolian vs Bangladeshi Vehicle Availability
Vehicle Availability MetricMongolianBangladeshi
No Vehicles Available
Tragic
13.1%
Exceptional
8.7%
1+ Vehicles Available
Tragic
87.0%
Exceptional
91.4%
2+ Vehicles Available
Tragic
52.8%
Exceptional
58.4%
3+ Vehicles Available
Tragic
18.1%
Exceptional
21.9%
4+ Vehicles Available
Tragic
5.8%
Exceptional
7.6%

Mongolian vs Bangladeshi Education Level

When considering education level, the most significant differences between Mongolian and Bangladeshi communities in the United States are seen in doctorate degree (2.8% compared to 1.2%, a difference of 127.8%), professional degree (6.1% compared to 3.1%, a difference of 98.6%), and master's degree (19.4% compared to 10.5%, a difference of 85.1%). Conversely, both communities are more comparable in terms of kindergarten (97.9% compared to 96.6%, a difference of 1.4%), nursery school (97.9% compared to 96.6%, a difference of 1.4%), and 1st grade (97.9% compared to 96.5%, a difference of 1.4%).
Mongolian vs Bangladeshi Education Level
Education Level MetricMongolianBangladeshi
No Schooling Completed
Average
2.1%
Tragic
3.5%
Nursery School
Fair
97.9%
Tragic
96.6%
Kindergarten
Fair
97.9%
Tragic
96.6%
1st Grade
Fair
97.9%
Tragic
96.5%
2nd Grade
Fair
97.8%
Tragic
96.5%
3rd Grade
Fair
97.7%
Tragic
96.3%
4th Grade
Fair
97.5%
Tragic
96.1%
5th Grade
Fair
97.3%
Tragic
95.9%
6th Grade
Average
97.0%
Tragic
95.7%
7th Grade
Average
96.0%
Tragic
94.5%
8th Grade
Average
95.8%
Tragic
94.3%
9th Grade
Good
95.0%
Tragic
93.4%
10th Grade
Good
94.0%
Tragic
92.2%
11th Grade
Excellent
93.0%
Tragic
90.9%
12th Grade, No Diploma
Excellent
91.8%
Tragic
89.3%
High School Diploma
Exceptional
89.9%
Tragic
86.9%
GED/Equivalency
Exceptional
87.0%
Tragic
83.1%
College, Under 1 year
Exceptional
69.9%
Tragic
61.4%
College, 1 year or more
Exceptional
64.8%
Tragic
54.5%
Associate's Degree
Exceptional
53.0%
Tragic
40.0%
Bachelor's Degree
Exceptional
45.4%
Tragic
30.2%
Master's Degree
Exceptional
19.4%
Tragic
10.5%
Professional Degree
Exceptional
6.1%
Tragic
3.1%
Doctorate Degree
Exceptional
2.8%
Tragic
1.2%

Mongolian vs Bangladeshi Disability

When considering disability, the most significant differences between Mongolian and Bangladeshi communities in the United States are seen in disability age 35 to 64 (10.1% compared to 13.6%, a difference of 34.6%), disability age 65 to 74 (21.8% compared to 26.8%, a difference of 23.3%), and vision disability (1.9% compared to 2.3%, a difference of 21.5%). Conversely, both communities are more comparable in terms of cognitive disability (17.7% compared to 18.6%, a difference of 4.9%), disability age over 75 (46.3% compared to 49.4%, a difference of 6.6%), and disability age 5 to 17 (5.3% compared to 5.8%, a difference of 10.2%).
Mongolian vs Bangladeshi Disability
Disability MetricMongolianBangladeshi
Disability
Exceptional
10.8%
Tragic
12.6%
Males
Exceptional
10.3%
Tragic
12.0%
Females
Exceptional
11.2%
Tragic
13.1%
Age | Under 5 years
Exceptional
1.1%
Poor
1.3%
Age | 5 to 17 years
Exceptional
5.3%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
6.2%
Tragic
7.4%
Age | 35 to 64 years
Exceptional
10.1%
Tragic
13.6%
Age | 65 to 74 years
Exceptional
21.8%
Tragic
26.8%
Age | Over 75 years
Exceptional
46.3%
Tragic
49.4%
Vision
Exceptional
1.9%
Tragic
2.3%
Hearing
Exceptional
2.7%
Tragic
3.2%
Cognitive
Tragic
17.7%
Tragic
18.6%
Ambulatory
Exceptional
5.5%
Poor
6.3%
Self-Care
Exceptional
2.3%
Tragic
2.8%