Immigrants from China Child Poverty Among Boys Under 16

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Immigrants from China
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 AmericaChileColombiaCongoCosta 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 China Child Poverty Among Boys Under 16
Exceptional

13.6%
POVERTY | BOYS < 16
99.8/ 100
METRIC RATING
32nd/ 347
METRIC RANK

Immigrants from China Child Poverty Among Boys Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 446,614,379 people shows a weak positive correlation between the proportion of Immigrants from China and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.269 and weighted average of 13.6%. On average, for every 1% (one percent) increase in Immigrants from China within a typical geography, there is an increase of 0.18% in poverty level among boys under the age of 16.
Immigrants from China Child Poverty Among Boys Under 16
It is essential to understand that the correlation between the percentage of Immigrants from China 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 China 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 China 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 China by Child Poverty Among Boys Under 16

In terms of child poverty among boys under 16, the demographic groups most similar to Immigrants from China are Turkish (13.6%, a difference of 0.090%), Swedish (13.6%, a difference of 0.17%), Danish (13.6%, a difference of 0.18%), Cypriot (13.6%, a difference of 0.27%), and Assyrian/Chaldean/Syriac (13.6%, a difference of 0.29%).
DemographicsRating | RankChild Poverty Among Boys Under 16
Okinawans
99.8
/100
|
#25
Exceptional
13.5%
Immigrants from Bolivia
99.8
/100
|
#26
Exceptional
13.5%
Asians
99.8
/100
|
#27
Exceptional
13.5%
Eastern Europeans
99.8
/100
|
#28
Exceptional
13.5%
Cypriots
99.8
/100
|
#29
Exceptional
13.6%
Swedes
99.8
/100
|
#30
Exceptional
13.6%
Turks
99.8
/100
|
#31
Exceptional
13.6%
Immigrants from China
99.8
/100
|
#32
Exceptional
13.6%
Danes
99.8
/100
|
#33
Exceptional
13.6%
Assyrians/Chaldeans/Syriacs
99.8
/100
|
#34
Exceptional
13.6%
Russians
99.7
/100
|
#35
Exceptional
13.8%
Luxembourgers
99.7
/100
|
#36
Exceptional
13.8%
Immigrants from Sri Lanka
99.6
/100
|
#37
Exceptional
13.9%
Immigrants from Northern Europe
99.6
/100
|
#38
Exceptional
13.9%
Immigrants from Australia
99.6
/100
|
#39
Exceptional
13.9%

Immigrants from China Child Poverty Among Boys Under 16 Correlation Summary

Measurement Immigrants from China Data Child Poverty Among Boys Under 16 Data
Minimum 0.17% 0.83%
Maximum 46.3% 42.3%
Range 46.1% 41.4%
Mean 16.1% 12.6%
Median 14.6% 10.7%
Interquartile 25% (IQ1) 7.2% 8.6%
Interquartile 75% (IQ3) 23.8% 13.9%
Interquartile Range (IQR) 16.7% 5.3%
Standard Deviation (Sample) 10.8% 7.2%
Standard Deviation (Population) 10.8% 7.1%

Correlation Details

Immigrants from China Percentile Sample Size Child Poverty Among Boys Under 16
[
0.0%
-
0.5%
]
0.17%
216,929,940 18.9%
[
0.5%
-
1.0%
]
0.54%
91,452,651 15.5%
[
0.5%
-
1.0%
]
0.95%
37,536,382 13.9%
[
1.0%
-
1.5%
]
1.33%
24,449,123 15.5%
[
1.5%
-
2.0%
]
1.73%
13,367,002 13.4%
[
2.0%
-
2.5%
]
2.10%
9,943,454 11.6%
[
2.5%
-
3.0%
]
2.52%
4,870,210 10.4%
[
2.5%
-
3.0%
]
2.91%
5,665,188 10.7%
[
3.0%
-
3.5%
]
3.29%
4,975,924 13.0%
[
3.5%
-
4.0%
]
3.66%
3,000,526 8.3%
[
4.0%
-
4.5%
]
4.01%
2,758,327 8.6%
[
4.5%
-
5.0%
]
4.58%
11,705,097 20.5%
[
4.5%
-
5.0%
]
4.83%
1,585,864 9.4%
[
5.0%
-
5.5%
]
5.23%
1,055,815 12.5%
[
5.5%
-
6.0%
]
5.64%
2,224,195 10.6%
[
6.0%
-
6.5%
]
6.00%
679,890 9.2%
[
6.0%
-
6.5%
]
6.40%
1,070,418 8.4%
[
6.5%
-
7.0%
]
6.77%
1,042,555 12.3%
[
7.0%
-
7.5%
]
7.15%
991,680 8.4%
[
7.5%
-
8.0%
]
7.62%
660,198 8.5%
[
7.5%
-
8.0%
]
8.00%
931,636 6.8%
[
8.0%
-
8.5%
]
8.40%
825,864 6.8%
[
8.5%
-
9.0%
]
8.76%
302,963 9.2%
[
9.0%
-
9.5%
]
9.04%
665,243 7.3%
[
9.5%
-
10.0%
]
9.56%
422,978 12.9%
[
9.5%
-
10.0%
]
9.87%
582,775 11.4%
[
10.0%
-
10.5%
]
10.25%
238,658 9.3%
[
10.5%
-
11.0%
]
10.70%
344,468 10.3%
[
10.5%
-
11.0%
]
10.99%
435,582 7.5%
[
11.0%
-
11.5%
]
11.41%
531,320 10.2%
[
11.5%
-
12.0%
]
11.81%
158,831 12.1%
[
12.0%
-
12.5%
]
12.35%
1,056,987 7.9%
[
12.5%
-
13.0%
]
12.68%
383,600 9.9%
[
13.0%
-
13.5%
]
13.07%
268,571 18.8%
[
13.0%
-
13.5%
]
13.40%
352,111 8.8%
[
13.5%
-
14.0%
]
13.86%
120,353 35.7%
[
14.0%
-
14.5%
]
14.27%
47,202 9.2%
[
14.5%
-
15.0%
]
14.63%
96,124 13.9%
[
14.5%
-
15.0%
]
14.93%
110,434 4.2%
[
15.0%
-
15.5%
]
15.39%
40,627 4.6%
[
15.5%
-
16.0%
]
15.59%
744 5.1%
[
16.0%
-
16.5%
]
16.11%
183,427 9.1%
[
16.0%
-
16.5%
]
16.38%
50,637 6.2%
[
17.0%
-
17.5%
]
17.19%
148,790 20.3%
[
18.0%
-
18.5%
]
18.02%
111,247 11.9%
[
18.0%
-
18.5%
]
18.40%
312,200 9.9%
[
18.5%
-
19.0%
]
18.92%
110,416 6.1%
[
19.0%
-
19.5%
]
19.18%
235,005 15.3%
[
19.0%
-
19.5%
]
19.44%
45,650 9.6%
[
19.5%
-
20.0%
]
19.85%
131,923 11.0%
[
20.5%
-
21.0%
]
20.95%
482 20.7%
[
21.5%
-
22.0%
]
21.65%
89,075 8.1%
[
21.5%
-
22.0%
]
21.87%
143,740 6.7%
[
22.0%
-
22.5%
]
22.31%
102,223 10.8%
[
22.5%
-
23.0%
]
22.68%
85,306 11.0%
[
23.0%
-
23.5%
]
23.13%
24,169 20.6%
[
23.5%
-
24.0%
]
23.82%
1,100 7.7%
[
24.5%
-
25.0%
]
24.65%
76,518 42.3%
[
25.5%
-
26.0%
]
25.74%
134,385 23.4%
[
26.0%
-
26.5%
]
26.09%
151,983 11.8%
[
26.0%
-
26.5%
]
26.46%
28,212 9.1%
[
26.5%
-
27.0%
]
26.87%
68,923 9.2%
[
27.5%
-
28.0%
]
27.63%
36,165 9.9%
[
28.0%
-
28.5%
]
28.13%
37,340 12.1%
[
28.5%
-
29.0%
]
28.66%
52,268 10.9%
[
28.5%
-
29.0%
]
28.73%
87,947 10.9%
[
30.5%
-
31.0%
]
30.51%
25,460 15.3%
[
30.5%
-
31.0%
]
30.69%
60,386 10.1%
[
32.0%
-
32.5%
]
32.09%
430 17.0%
[
34.5%
-
35.0%
]
34.51%
1,107 13.3%
[
35.5%
-
36.0%
]
35.57%
12,070 36.4%
[
36.0%
-
36.5%
]
36.36%
25,001 0.83%
[
36.5%
-
37.0%
]
36.69%
26,418 14.9%
[
39.0%
-
39.5%
]
39.16%
53,371 27.5%
[
46.0%
-
46.5%
]
46.27%
79,495 26.1%