Immigrants from Nepal Child Poverty Among Boys Under 16

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Immigrants from Nepal
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
Immigration
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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
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNetherlandsNicaraguaNigeriaNorth 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 Nepal Child Poverty Among Boys Under 16
Good

15.9%
POVERTY | BOYS < 16
76.0/ 100
METRIC RATING
157th/ 347
METRIC RANK

Immigrants from Nepal Child Poverty Among Boys Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 185,379,666 people shows a substantial positive correlation between the proportion of Immigrants from Nepal and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.521 and weighted average of 15.9%. On average, for every 1% (one percent) increase in Immigrants from Nepal within a typical geography, there is an increase of 3.3% in poverty level among boys under the age of 16.
Immigrants from Nepal Child Poverty Among Boys Under 16
It is essential to understand that the correlation between the percentage of Immigrants from Nepal 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 Nepal 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 Nepal 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 Nepal by Child Poverty Among Boys Under 16

In terms of child poverty among boys under 16, the demographic groups most similar to Immigrants from Nepal are Yugoslavian (15.9%, a difference of 0.010%), Israeli (15.9%, a difference of 0.090%), French Canadian (15.9%, a difference of 0.10%), Immigrants from Chile (15.9%, a difference of 0.18%), and Syrian (15.9%, a difference of 0.25%).
DemographicsRating | RankChild Poverty Among Boys Under 16
Immigrants from Jordan
80.2
/100
|
#150
Excellent
15.8%
Puget Sound Salish
79.8
/100
|
#151
Good
15.8%
Immigrants from Venezuela
79.5
/100
|
#152
Good
15.8%
French
78.7
/100
|
#153
Good
15.8%
Syrians
77.5
/100
|
#154
Good
15.9%
French Canadians
76.6
/100
|
#155
Good
15.9%
Israelis
76.5
/100
|
#156
Good
15.9%
Immigrants from Nepal
76.0
/100
|
#157
Good
15.9%
Yugoslavians
75.9
/100
|
#158
Good
15.9%
Immigrants from Chile
74.8
/100
|
#159
Good
15.9%
Immigrants from Northern Africa
71.3
/100
|
#160
Good
16.0%
Immigrants from Oceania
71.3
/100
|
#161
Good
16.0%
Guamanians/Chamorros
69.6
/100
|
#162
Good
16.1%
Costa Ricans
68.1
/100
|
#163
Good
16.1%
Immigrants from Albania
67.9
/100
|
#164
Good
16.1%

Immigrants from Nepal Child Poverty Among Boys Under 16 Correlation Summary

Measurement Immigrants from Nepal Data Child Poverty Among Boys Under 16 Data
Minimum 0.026% 1.7%
Maximum 11.2% 61.5%
Range 11.2% 59.7%
Mean 2.4% 18.5%
Median 1.8% 14.8%
Interquartile 25% (IQ1) 0.90% 10.9%
Interquartile 75% (IQ3) 3.1% 19.2%
Interquartile Range (IQR) 2.2% 8.3%
Standard Deviation (Sample) 2.1% 13.5%
Standard Deviation (Population) 2.1% 13.3%

Correlation Details

Immigrants from Nepal Percentile Sample Size Child Poverty Among Boys Under 16
[
0.0%
-
0.5%
]
0.026%
77,488,591 18.8%
[
0.0%
-
0.5%
]
0.080%
34,096,449 15.9%
[
0.0%
-
0.5%
]
0.14%
27,981,134 18.3%
[
0.0%
-
0.5%
]
0.19%
12,175,866 14.5%
[
0.0%
-
0.5%
]
0.25%
6,803,268 13.4%
[
0.0%
-
0.5%
]
0.30%
5,990,556 15.2%
[
0.0%
-
0.5%
]
0.36%
3,837,123 14.7%
[
0.0%
-
0.5%
]
0.41%
3,314,888 15.0%
[
0.0%
-
0.5%
]
0.48%
1,873,779 13.7%
[
0.5%
-
1.0%
]
0.52%
1,580,542 14.4%
[
0.5%
-
1.0%
]
0.58%
1,467,739 15.1%
[
0.5%
-
1.0%
]
0.64%
1,097,949 14.8%
[
0.5%
-
1.0%
]
0.70%
1,007,643 16.5%
[
0.5%
-
1.0%
]
0.75%
979,898 12.2%
[
0.5%
-
1.0%
]
0.81%
753,533 17.7%
[
0.5%
-
1.0%
]
0.87%
184,514 16.2%
[
0.5%
-
1.0%
]
0.93%
356,527 10.5%
[
0.5%
-
1.0%
]
0.98%
441,243 17.4%
[
1.0%
-
1.5%
]
1.03%
407,344 14.9%
[
1.0%
-
1.5%
]
1.08%
571,296 20.9%
[
1.0%
-
1.5%
]
1.15%
298,434 12.6%
[
1.0%
-
1.5%
]
1.20%
201,184 13.8%
[
1.0%
-
1.5%
]
1.24%
168,720 20.1%
[
1.0%
-
1.5%
]
1.32%
190,462 19.9%
[
1.0%
-
1.5%
]
1.37%
138,404 27.2%
[
1.0%
-
1.5%
]
1.42%
68,691 18.7%
[
1.0%
-
1.5%
]
1.47%
20,216 23.4%
[
1.5%
-
2.0%
]
1.54%
71,612 9.6%
[
1.5%
-
2.0%
]
1.58%
44,924 19.3%
[
1.5%
-
2.0%
]
1.65%
178,897 9.2%
[
1.5%
-
2.0%
]
1.70%
100,652 12.3%
[
1.5%
-
2.0%
]
1.76%
107,656 14.7%
[
1.5%
-
2.0%
]
1.83%
21,021 17.8%
[
1.5%
-
2.0%
]
1.88%
99,942 12.1%
[
1.5%
-
2.0%
]
1.93%
24,975 9.2%
[
1.5%
-
2.0%
]
1.96%
357,410 13.6%
[
2.0%
-
2.5%
]
2.02%
2,034 9.1%
[
2.0%
-
2.5%
]
2.16%
54,548 19.1%
[
2.0%
-
2.5%
]
2.21%
109,029 7.5%
[
2.0%
-
2.5%
]
2.28%
26,531 16.0%
[
2.0%
-
2.5%
]
2.32%
22,891 12.2%
[
2.0%
-
2.5%
]
2.35%
43,568 22.4%
[
2.0%
-
2.5%
]
2.48%
12,802 6.8%
[
2.5%
-
3.0%
]
2.54%
54,526 5.7%
[
2.5%
-
3.0%
]
2.61%
8,194 3.1%
[
2.5%
-
3.0%
]
2.66%
50,572 4.7%
[
2.5%
-
3.0%
]
2.72%
108,870 11.3%
[
2.5%
-
3.0%
]
2.87%
17,107 10.0%
[
3.0%
-
3.5%
]
3.04%
115,734 13.1%
[
3.0%
-
3.5%
]
3.13%
38,632 24.9%
[
3.0%
-
3.5%
]
3.24%
11,364 9.5%
[
3.5%
-
4.0%
]
3.82%
30,708 8.5%
[
4.0%
-
4.5%
]
4.13%
20,720 14.4%
[
4.0%
-
4.5%
]
4.30%
26,684 43.7%
[
4.5%
-
5.0%
]
4.55%
3,582 53.6%
[
4.5%
-
5.0%
]
4.62%
6,861 10.1%
[
4.5%
-
5.0%
]
4.67%
31,963 4.8%
[
4.5%
-
5.0%
]
4.75%
14,553 55.6%
[
5.0%
-
5.5%
]
5.32%
1,936 50.7%
[
5.0%
-
5.5%
]
5.39%
946 61.5%
[
5.0%
-
5.5%
]
5.48%
1,132 31.3%
[
6.0%
-
6.5%
]
6.30%
3,190 1.7%
[
7.0%
-
7.5%
]
7.24%
24,892 49.7%
[
7.5%
-
8.0%
]
7.81%
32,559 16.8%
[
11.0%
-
11.5%
]
11.18%
456 58.1%