Immigrants from Bangladesh Child Poverty Among Boys Under 16

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Immigrants from Bangladesh
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 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
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Race
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AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish 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
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NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBarbadosBelarusBelgiumBelizeBoliviaBosnia 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
Child Poverty Among Boys Under 16
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Immigrants from Bangladesh Child Poverty Among Boys Under 16
Tragic

19.9%
POVERTY | BOYS < 16
0.0/ 100
METRIC RATING
274th/ 347
METRIC RANK

Immigrants from Bangladesh Child Poverty Among Boys Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 202,330,281 people shows a mild positive correlation between the proportion of Immigrants from Bangladesh and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.394 and weighted average of 19.9%. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is an increase of 0.96% in poverty level among boys under the age of 16.
Immigrants from Bangladesh Child Poverty Among Boys Under 16
It is essential to understand that the correlation between the percentage of Immigrants from Bangladesh and poverty level among boys under the age of 16 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Bangladesh influences an upward or downward trend in the level of poverty level among boys under the age of 16 within an area, or if Immigrants from Bangladesh simply ended up residing in those areas with higher or lower levels of poverty level among boys under the age of 16 due to other factors.

Demographics Similar to Immigrants from Bangladesh by Child Poverty Among Boys Under 16

In terms of child poverty among boys under 16, the demographic groups most similar to Immigrants from Bangladesh are Jamaican (20.0%, a difference of 0.12%), Belizean (19.9%, a difference of 0.25%), Subsaharan African (20.0%, a difference of 0.29%), Immigrants from Ecuador (19.8%, a difference of 0.39%), and Immigrants from Barbados (20.0%, a difference of 0.39%).
DemographicsRating | RankChild Poverty Among Boys Under 16
Vietnamese
0.1
/100
|
#267
Tragic
19.6%
Spanish American Indians
0.1
/100
|
#268
Tragic
19.6%
Immigrants from Cabo Verde
0.1
/100
|
#269
Tragic
19.7%
Cherokee
0.1
/100
|
#270
Tragic
19.7%
Chickasaw
0.1
/100
|
#271
Tragic
19.8%
Immigrants from Ecuador
0.1
/100
|
#272
Tragic
19.8%
Belizeans
0.1
/100
|
#273
Tragic
19.9%
Immigrants from Bangladesh
0.0
/100
|
#274
Tragic
19.9%
Jamaicans
0.0
/100
|
#275
Tragic
20.0%
Sub-Saharan Africans
0.0
/100
|
#276
Tragic
20.0%
Immigrants from Barbados
0.0
/100
|
#277
Tragic
20.0%
Immigrants from West Indies
0.0
/100
|
#278
Tragic
20.0%
Bangladeshis
0.0
/100
|
#279
Tragic
20.0%
Central Americans
0.0
/100
|
#280
Tragic
20.1%
Immigrants from Zaire
0.0
/100
|
#281
Tragic
20.1%

Immigrants from Bangladesh Child Poverty Among Boys Under 16 Correlation Summary

MeasurementImmigrants from Bangladesh DataChild Poverty Among Boys Under 16 Data
Minimum0.039%4.2%
Maximum20.9%49.5%
Range20.9%45.3%
Mean4.6%21.3%
Median3.0%17.8%
Interquartile 25% (IQ1)1.5%14.1%
Interquartile 75% (IQ3)6.2%25.6%
Interquartile Range (IQR)4.8%11.4%
Standard Deviation (Sample)4.7%11.3%
Standard Deviation (Population)4.6%11.2%

Correlation Details

Immigrants from Bangladesh PercentileSample SizeChild Poverty Among Boys Under 16
[
0.0%
-
0.5%
]
0.039%
108,121,86717.9%
[
0.0%
-
0.5%
]
0.13%
36,403,06516.3%
[
0.0%
-
0.5%
]
0.21%
16,907,61515.3%
[
0.0%
-
0.5%
]
0.30%
9,154,35215.8%
[
0.0%
-
0.5%
]
0.39%
6,164,66914.6%
[
0.0%
-
0.5%
]
0.48%
3,617,26917.1%
[
0.5%
-
1.0%
]
0.57%
2,359,92813.0%
[
0.5%
-
1.0%
]
0.66%
2,759,64823.9%
[
0.5%
-
1.0%
]
0.74%
1,351,45918.7%
[
0.5%
-
1.0%
]
0.83%
871,61716.0%
[
0.5%
-
1.0%
]
0.92%
764,67213.4%
[
1.0%
-
1.5%
]
1.02%
637,76018.9%
[
1.0%
-
1.5%
]
1.09%
321,88811.2%
[
1.0%
-
1.5%
]
1.15%
8,972,16023.0%
[
1.0%
-
1.5%
]
1.28%
263,25220.2%
[
1.0%
-
1.5%
]
1.37%
150,22410.8%
[
1.0%
-
1.5%
]
1.46%
221,0729.0%
[
1.5%
-
2.0%
]
1.52%
109,94414.1%
[
1.5%
-
2.0%
]
1.63%
96,66611.9%
[
1.5%
-
2.0%
]
1.74%
208,07714.7%
[
1.5%
-
2.0%
]
1.78%
379,64138.3%
[
1.5%
-
2.0%
]
1.89%
68,96914.8%
[
1.5%
-
2.0%
]
1.97%
214,78222.7%
[
2.0%
-
2.5%
]
2.06%
77,0617.0%
[
2.0%
-
2.5%
]
2.13%
42,36849.2%
[
2.0%
-
2.5%
]
2.24%
45,95617.3%
[
2.0%
-
2.5%
]
2.37%
52,32114.7%
[
2.0%
-
2.5%
]
2.42%
21,1097.5%
[
2.5%
-
3.0%
]
2.51%
152,50321.6%
[
2.5%
-
3.0%
]
2.60%
8839.6%
[
2.5%
-
3.0%
]
2.68%
159,28036.8%
[
2.5%
-
3.0%
]
2.78%
9,9664.2%
[
2.5%
-
3.0%
]
2.88%
45225.6%
[
2.5%
-
3.0%
]
2.93%
19,7335.2%
[
3.0%
-
3.5%
]
3.06%
9,97335.3%
[
3.0%
-
3.5%
]
3.10%
46,79419.5%
[
3.0%
-
3.5%
]
3.24%
145,09819.7%
[
3.0%
-
3.5%
]
3.27%
94,81543.2%
[
3.0%
-
3.5%
]
3.40%
90,54817.7%
[
3.5%
-
4.0%
]
3.57%
44,49030.1%
[
3.5%
-
4.0%
]
3.93%
25,60615.6%
[
4.0%
-
4.5%
]
4.00%
67,00124.6%
[
4.0%
-
4.5%
]
4.23%
40,19811.4%
[
4.0%
-
4.5%
]
4.36%
65,28348.8%
[
4.5%
-
5.0%
]
4.51%
29,30814.9%
[
4.5%
-
5.0%
]
4.60%
12,12923.0%
[
4.5%
-
5.0%
]
4.96%
126,90722.9%
[
5.0%
-
5.5%
]
5.32%
73,31814.2%
[
5.5%
-
6.0%
]
5.61%
97,66816.4%
[
5.5%
-
6.0%
]
5.64%
127,80512.4%
[
6.0%
-
6.5%
]
6.21%
5,92340.3%
[
6.0%
-
6.5%
]
6.28%
26,9398.4%
[
6.5%
-
7.0%
]
6.56%
36627.8%
[
6.5%
-
7.0%
]
6.93%
30,06328.1%
[
7.5%
-
8.0%
]
7.51%
28,32745.6%
[
7.5%
-
8.0%
]
7.60%
4,14622.7%
[
7.5%
-
8.0%
]
7.70%
52,16025.6%
[
7.5%
-
8.0%
]
7.77%
29,92112.2%
[
7.5%
-
8.0%
]
7.88%
77,23026.4%
[
8.0%
-
8.5%
]
8.22%
59,96119.2%
[
9.0%
-
9.5%
]
9.20%
31,20013.0%
[
10.5%
-
11.0%
]
10.61%
3,00624.2%
[
11.0%
-
11.5%
]
11.26%
27,79414.9%
[
15.5%
-
16.0%
]
15.95%
17,32830.7%
[
16.0%
-
16.5%
]
16.49%
1,42549.5%
[
17.5%
-
18.0%
]
17.59%
27,84243.7%
[
18.5%
-
19.0%
]
18.74%
64,26816.2%
[
20.5%
-
21.0%
]
20.93%
43,21341.2%