Immigrants from Bangladesh Female Poverty Among 18-24 Year Olds

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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
Female Poverty Among 18-24 Year Olds
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Immigrants from Bangladesh Female Poverty Among 18-24 Year Olds
Tragic

21.8%
POVERTY | FEMALES 18-24
0.1/ 100
METRIC RATING
275th/ 347
METRIC RANK

Immigrants from Bangladesh Female Poverty Among 18-24 Year Olds Correlation Chart

The statistical analysis conducted on geographies consisting of 201,521,448 people shows a weak positive correlation between the proportion of Immigrants from Bangladesh and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of 0.235 and weighted average of 21.8%. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is an increase of 0.48% in poverty level among females between the ages 18 and 24.
Immigrants from Bangladesh Female Poverty Among 18-24 Year Olds
It is essential to understand that the correlation between the percentage of Immigrants from Bangladesh and poverty level among females between the ages 18 and 24 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 females between the ages 18 and 24 within an area, or if Immigrants from Bangladesh simply ended up residing in those areas with higher or lower levels of poverty level among females between the ages 18 and 24 due to other factors.

Demographics Similar to Immigrants from Bangladesh by Female Poverty Among 18-24 Year Olds

In terms of female poverty among 18-24 year olds, the demographic groups most similar to Immigrants from Bangladesh are Bahamian (21.8%, a difference of 0.020%), Immigrants from Honduras (21.8%, a difference of 0.040%), Immigrants from Switzerland (21.8%, a difference of 0.15%), Yaqui (21.9%, a difference of 0.41%), and New Zealander (21.7%, a difference of 0.43%).
DemographicsRating | RankFemale Poverty Among 18-24 Year Olds
Immigrants from Burma/Myanmar
0.2
/100
|
#268
Tragic
21.6%
Celtics
0.2
/100
|
#269
Tragic
21.6%
Mongolians
0.2
/100
|
#270
Tragic
21.6%
Scotch-Irish
0.2
/100
|
#271
Tragic
21.6%
Basques
0.2
/100
|
#272
Tragic
21.7%
New Zealanders
0.2
/100
|
#273
Tragic
21.7%
Immigrants from Honduras
0.1
/100
|
#274
Tragic
21.8%
Immigrants from Bangladesh
0.1
/100
|
#275
Tragic
21.8%
Bahamians
0.1
/100
|
#276
Tragic
21.8%
Immigrants from Switzerland
0.1
/100
|
#277
Tragic
21.8%
Yaqui
0.1
/100
|
#278
Tragic
21.9%
Spanish Americans
0.1
/100
|
#279
Tragic
21.9%
Immigrants from Dominica
0.1
/100
|
#280
Tragic
21.9%
Immigrants from Dominican Republic
0.1
/100
|
#281
Tragic
21.9%
Bermudans
0.1
/100
|
#282
Tragic
21.9%

Immigrants from Bangladesh Female Poverty Among 18-24 Year Olds Correlation Summary

MeasurementImmigrants from Bangladesh DataFemale Poverty Among 18-24 Year Olds Data
Minimum0.039%5.6%
Maximum20.9%49.6%
Range20.9%44.0%
Mean4.5%20.3%
Median2.9%19.0%
Interquartile 25% (IQ1)1.5%13.6%
Interquartile 75% (IQ3)5.6%23.1%
Interquartile Range (IQR)4.2%9.5%
Standard Deviation (Sample)4.7%9.6%
Standard Deviation (Population)4.7%9.6%

Correlation Details

Immigrants from Bangladesh PercentileSample SizeFemale Poverty Among 18-24 Year Olds
[
0.0%
-
0.5%
]
0.039%
107,979,07022.8%
[
0.0%
-
0.5%
]
0.13%
36,303,98121.0%
[
0.0%
-
0.5%
]
0.21%
16,779,35519.9%
[
0.0%
-
0.5%
]
0.30%
9,110,48022.5%
[
0.0%
-
0.5%
]
0.39%
6,110,76919.4%
[
0.0%
-
0.5%
]
0.48%
3,625,24822.0%
[
0.5%
-
1.0%
]
0.57%
2,275,50717.8%
[
0.5%
-
1.0%
]
0.66%
2,762,24225.0%
[
0.5%
-
1.0%
]
0.74%
1,297,00024.6%
[
0.5%
-
1.0%
]
0.83%
867,74923.8%
[
0.5%
-
1.0%
]
0.92%
711,53220.1%
[
1.0%
-
1.5%
]
1.03%
593,83218.4%
[
1.0%
-
1.5%
]
1.09%
320,67817.4%
[
1.0%
-
1.5%
]
1.15%
8,910,49423.1%
[
1.0%
-
1.5%
]
1.28%
263,25218.9%
[
1.0%
-
1.5%
]
1.37%
150,22415.5%
[
1.0%
-
1.5%
]
1.46%
220,29312.9%
[
1.5%
-
2.0%
]
1.51%
107,03718.2%
[
1.5%
-
2.0%
]
1.63%
96,66612.3%
[
1.5%
-
2.0%
]
1.74%
201,85610.0%
[
1.5%
-
2.0%
]
1.78%
375,72030.0%
[
1.5%
-
2.0%
]
1.89%
43,83733.5%
[
1.5%
-
2.0%
]
1.97%
214,78225.0%
[
2.0%
-
2.5%
]
2.07%
68,18213.6%
[
2.0%
-
2.5%
]
2.13%
42,36834.7%
[
2.0%
-
2.5%
]
2.24%
45,95616.3%
[
2.0%
-
2.5%
]
2.37%
52,32112.1%
[
2.0%
-
2.5%
]
2.41%
27,69815.4%
[
2.5%
-
3.0%
]
2.51%
152,50320.4%
[
2.5%
-
3.0%
]
2.60%
9,54214.7%
[
2.5%
-
3.0%
]
2.68%
159,28022.8%
[
2.5%
-
3.0%
]
2.78%
9,9665.9%
[
2.5%
-
3.0%
]
2.88%
45214.3%
[
2.5%
-
3.0%
]
2.93%
19,7335.6%
[
3.0%
-
3.5%
]
3.06%
9,97337.8%
[
3.0%
-
3.5%
]
3.10%
46,7948.6%
[
3.0%
-
3.5%
]
3.24%
138,58811.3%
[
3.0%
-
3.5%
]
3.27%
92,91543.2%
[
3.0%
-
3.5%
]
3.40%
90,54827.2%
[
3.5%
-
4.0%
]
3.57%
47,52139.5%
[
3.5%
-
4.0%
]
3.93%
23,4717.5%
[
4.0%
-
4.5%
]
4.00%
67,00116.0%
[
4.0%
-
4.5%
]
4.23%
40,19819.0%
[
4.0%
-
4.5%
]
4.36%
65,28327.6%
[
4.5%
-
5.0%
]
4.51%
29,3088.8%
[
4.5%
-
5.0%
]
4.60%
12,12923.1%
[
4.5%
-
5.0%
]
4.96%
126,90720.5%
[
5.0%
-
5.5%
]
5.32%
73,31820.5%
[
5.5%
-
6.0%
]
5.61%
97,66818.1%
[
5.5%
-
6.0%
]
5.64%
127,80512.2%
[
6.0%
-
6.5%
]
6.21%
5,9236.5%
[
6.0%
-
6.5%
]
6.28%
26,93914.1%
[
6.5%
-
7.0%
]
6.93%
30,06313.5%
[
7.5%
-
8.0%
]
7.51%
24,14349.6%
[
7.5%
-
8.0%
]
7.70%
52,16017.7%
[
7.5%
-
8.0%
]
7.77%
29,9219.6%
[
7.5%
-
8.0%
]
7.88%
77,23020.3%
[
8.0%
-
8.5%
]
8.22%
59,96116.1%
[
9.0%
-
9.5%
]
9.20%
31,20012.0%
[
10.5%
-
11.0%
]
10.61%
3,00613.3%
[
11.0%
-
11.5%
]
11.26%
27,79416.6%
[
15.5%
-
16.0%
]
15.95%
17,32819.6%
[
16.0%
-
16.5%
]
16.49%
1,42537.7%
[
17.5%
-
18.0%
]
17.59%
27,84244.2%
[
18.5%
-
19.0%
]
18.74%
64,26819.6%
[
20.5%
-
21.0%
]
20.93%
43,21339.4%