Immigrants from Cuba Child Poverty Among Boys Under 16

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Immigrants from Cuba
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 RicaCroatiaCzechoslovakiaDenmarkDominicaDominican 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 Cuba Child Poverty Among Boys Under 16
Tragic

18.8%
POVERTY | BOYS < 16
0.6/ 100
METRIC RATING
240th/ 347
METRIC RANK

Immigrants from Cuba Child Poverty Among Boys Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 321,856,633 people shows a poor negative correlation between the proportion of Immigrants from Cuba and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of -0.181 and weighted average of 18.8%. On average, for every 1% (one percent) increase in Immigrants from Cuba within a typical geography, there is a decrease of 0.080% in poverty level among boys under the age of 16.
Immigrants from Cuba Child Poverty Among Boys Under 16
It is essential to understand that the correlation between the percentage of Immigrants from Cuba 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 Cuba 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 Cuba 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 Cuba by Child Poverty Among Boys Under 16

In terms of child poverty among boys under 16, the demographic groups most similar to Immigrants from Cuba are Immigrants from Sudan (18.8%, a difference of 0.050%), Cape Verdean (18.7%, a difference of 0.34%), Ghanaian (18.9%, a difference of 0.56%), Immigrants from Laos (18.7%, a difference of 0.57%), and Immigrants from Eritrea (18.6%, a difference of 0.79%).
DemographicsRating | RankChild Poverty Among Boys Under 16
Immigrants from Nigeria
1.2
/100
|
#233
Tragic
18.4%
Nigerians
1.1
/100
|
#234
Tragic
18.5%
Americans
0.9
/100
|
#235
Tragic
18.6%
Sudanese
0.9
/100
|
#236
Tragic
18.6%
Immigrants from Eritrea
0.8
/100
|
#237
Tragic
18.6%
Immigrants from Laos
0.8
/100
|
#238
Tragic
18.7%
Cape Verdeans
0.7
/100
|
#239
Tragic
18.7%
Immigrants from Cuba
0.6
/100
|
#240
Tragic
18.8%
Immigrants from Sudan
0.6
/100
|
#241
Tragic
18.8%
Ghanaians
0.5
/100
|
#242
Tragic
18.9%
Immigrants from the Azores
0.4
/100
|
#243
Tragic
18.9%
Immigrants from Middle Africa
0.4
/100
|
#244
Tragic
18.9%
Cree
0.4
/100
|
#245
Tragic
19.0%
Immigrants from Nicaragua
0.4
/100
|
#246
Tragic
19.0%
Immigrants from Trinidad and Tobago
0.3
/100
|
#247
Tragic
19.0%

Immigrants from Cuba Child Poverty Among Boys Under 16 Correlation Summary

Measurement Immigrants from Cuba Data Child Poverty Among Boys Under 16 Data
Minimum 0.095% 0.84%
Maximum 66.9% 37.9%
Range 66.8% 37.1%
Mean 22.9% 18.6%
Median 18.9% 19.0%
Interquartile 25% (IQ1) 9.1% 13.4%
Interquartile 75% (IQ3) 34.9% 23.8%
Interquartile Range (IQR) 25.8% 10.4%
Standard Deviation (Sample) 16.8% 7.4%
Standard Deviation (Population) 16.7% 7.4%

Correlation Details

Immigrants from Cuba Percentile Sample Size Child Poverty Among Boys Under 16
[
0.0%
-
0.5%
]
0.095%
250,630,579 17.3%
[
0.0%
-
0.5%
]
0.43%
29,578,070 18.8%
[
0.5%
-
1.0%
]
0.74%
11,488,575 18.6%
[
1.0%
-
1.5%
]
1.04%
6,488,061 17.4%
[
1.0%
-
1.5%
]
1.35%
4,168,534 18.9%
[
1.5%
-
2.0%
]
1.66%
2,662,288 19.8%
[
1.5%
-
2.0%
]
1.96%
2,700,331 20.8%
[
2.0%
-
2.5%
]
2.29%
1,202,474 24.9%
[
2.5%
-
3.0%
]
2.57%
771,033 17.3%
[
2.5%
-
3.0%
]
2.88%
967,205 20.9%
[
3.0%
-
3.5%
]
3.19%
637,947 22.5%
[
3.0%
-
3.5%
]
3.50%
577,227 19.8%
[
3.5%
-
4.0%
]
3.78%
654,093 21.6%
[
4.0%
-
4.5%
]
4.06%
275,197 22.1%
[
4.0%
-
4.5%
]
4.47%
193,658 24.0%
[
4.5%
-
5.0%
]
4.79%
657,880 23.0%
[
5.0%
-
5.5%
]
5.01%
362,351 25.2%
[
5.0%
-
5.5%
]
5.29%
355,191 18.4%
[
5.5%
-
6.0%
]
5.67%
378,303 19.0%
[
5.5%
-
6.0%
]
5.96%
241,615 9.4%
[
6.0%
-
6.5%
]
6.19%
315,470 18.7%
[
6.5%
-
7.0%
]
6.54%
179,240 19.1%
[
6.5%
-
7.0%
]
6.81%
395,301 19.6%
[
7.0%
-
7.5%
]
7.16%
52,407 19.8%
[
7.0%
-
7.5%
]
7.47%
214,149 25.0%
[
7.5%
-
8.0%
]
7.82%
286,833 10.3%
[
8.0%
-
8.5%
]
8.06%
118,591 19.1%
[
8.0%
-
8.5%
]
8.40%
7,989 7.7%
[
8.5%
-
9.0%
]
8.62%
38,542 25.1%
[
9.0%
-
9.5%
]
9.05%
23,774 29.2%
[
9.0%
-
9.5%
]
9.15%
43,424 14.6%
[
9.5%
-
10.0%
]
9.52%
119,826 29.0%
[
9.5%
-
10.0%
]
9.90%
76,717 13.7%
[
10.0%
-
10.5%
]
10.08%
69,034 24.6%
[
10.5%
-
11.0%
]
10.56%
181,514 23.9%
[
10.5%
-
11.0%
]
10.71%
80,262 15.1%
[
11.0%
-
11.5%
]
11.01%
57,923 30.7%
[
11.0%
-
11.5%
]
11.37%
114,298 23.7%
[
11.5%
-
12.0%
]
11.72%
26,094 17.0%
[
11.5%
-
12.0%
]
11.97%
106,074 21.0%
[
12.0%
-
12.5%
]
12.18%
38,774 19.1%
[
12.5%
-
13.0%
]
12.54%
63,572 25.1%
[
13.0%
-
13.5%
]
13.05%
15,218 17.9%
[
13.0%
-
13.5%
]
13.23%
149,277 20.7%
[
13.5%
-
14.0%
]
13.59%
35,710 13.3%
[
13.5%
-
14.0%
]
13.71%
34,117 25.6%
[
14.0%
-
14.5%
]
14.38%
63,743 5.6%
[
14.5%
-
15.0%
]
14.90%
10,520 15.0%
[
15.0%
-
15.5%
]
15.46%
82,400 16.3%
[
15.5%
-
16.0%
]
15.63%
117,817 13.3%
[
15.5%
-
16.0%
]
15.97%
24,257 25.8%
[
16.0%
-
16.5%
]
16.25%
106,757 19.6%
[
16.5%
-
17.0%
]
16.71%
10,992 23.8%
[
16.5%
-
17.0%
]
16.88%
10,597 27.9%
[
17.0%
-
17.5%
]
17.25%
47,065 37.9%
[
17.5%
-
18.0%
]
17.50%
18,719 2.3%
[
17.5%
-
18.0%
]
17.88%
59,121 37.6%
[
18.0%
-
18.5%
]
18.13%
26,717 34.9%
[
18.0%
-
18.5%
]
18.42%
169,447 15.2%
[
18.5%
-
19.0%
]
18.65%
115,926 21.6%
[
18.5%
-
19.0%
]
18.93%
48,849 15.4%
[
19.0%
-
19.5%
]
19.36%
100,975 20.8%
[
19.5%
-
20.0%
]
19.54%
11,943 29.0%
[
19.5%
-
20.0%
]
19.95%
143,303 12.9%
[
20.0%
-
20.5%
]
20.29%
85,659 11.7%
[
20.5%
-
21.0%
]
20.82%
52,197 15.5%
[
21.0%
-
21.5%
]
21.43%
32,946 31.2%
[
21.5%
-
22.0%
]
21.84%
16,776 14.0%
[
22.0%
-
22.5%
]
22.36%
8,617 0.84%
[
22.5%
-
23.0%
]
22.72%
27,033 29.6%
[
22.5%
-
23.0%
]
22.97%
22,927 16.6%
[
23.0%
-
23.5%
]
23.35%
26,364 18.3%
[
23.5%
-
24.0%
]
23.59%
84,418 13.4%
[
23.5%
-
24.0%
]
23.82%
14,477 17.8%
[
24.0%
-
24.5%
]
24.15%
57,327 19.9%
[
24.5%
-
25.0%
]
24.71%
463,011 26.5%
[
25.0%
-
25.5%
]
25.34%
8,989 19.7%
[
26.0%
-
26.5%
]
26.13%
2,419 2.4%
[
27.0%
-
27.5%
]
27.25%
73,954 13.1%
[
27.5%
-
28.0%
]
27.62%
36,964 16.1%
[
28.0%
-
28.5%
]
28.25%
37,958 4.5%
[
28.0%
-
28.5%
]
28.43%
60,573 12.6%
[
29.5%
-
30.0%
]
29.74%
68,517 23.9%
[
30.0%
-
30.5%
]
30.32%
80,505 17.9%
[
30.5%
-
31.0%
]
30.68%
33,026 8.1%
[
30.5%
-
31.0%
]
30.73%
86,031 19.8%
[
31.0%
-
31.5%
]
31.17%
40,278 9.3%
[
31.5%
-
32.0%
]
31.79%
5,303 25.5%
[
33.0%
-
33.5%
]
33.42%
30,621 3.1%
[
34.0%
-
34.5%
]
34.03%
35,705 23.1%
[
34.5%
-
35.0%
]
34.79%
57,066 12.9%
[
35.0%
-
35.5%
]
35.03%
47,116 17.0%
[
35.5%
-
36.0%
]
35.78%
37,977 22.3%
[
36.0%
-
36.5%
]
36.29%
3,400 36.7%
[
36.5%
-
37.0%
]
36.74%
54,873 27.3%
[
37.5%
-
38.0%
]
37.92%
7,623 13.3%
[
38.0%
-
38.5%
]
38.43%
43,702 11.2%
[
39.0%
-
39.5%
]
39.35%
34,057 9.8%
[
39.5%
-
40.0%
]
39.68%
34,742 30.9%
[
39.5%
-
40.0%
]
39.87%
49,483 14.0%
[
40.5%
-
41.0%
]
40.65%
34,335 20.3%
[
41.5%
-
42.0%
]
41.73%
13,824 20.8%
[
42.0%
-
42.5%
]
42.27%
52,661 10.9%
[
42.5%
-
43.0%
]
42.62%
19,399 23.8%
[
44.0%
-
44.5%
]
44.13%
55,241 12.2%
[
45.5%
-
46.0%
]
45.55%
24,597 20.8%
[
46.0%
-
46.5%
]
46.31%
40,739 10.3%
[
46.5%
-
47.0%
]
46.90%
10,725 5.9%
[
47.5%
-
48.0%
]
47.86%
52,851 9.1%
[
48.0%
-
48.5%
]
48.15%
53,765 8.0%
[
49.5%
-
50.0%
]
49.72%
50,233 13.7%
[
50.0%
-
50.5%
]
50.26%
46,798 24.5%
[
52.0%
-
52.5%
]
52.20%
52,047 12.0%
[
52.5%
-
53.0%
]
52.80%
45,620 17.5%
[
53.5%
-
54.0%
]
53.93%
22,815 14.1%
[
54.5%
-
55.0%
]
54.81%
20,850 7.6%
[
57.5%
-
58.0%
]
57.54%
26,596 11.9%
[
60.5%
-
61.0%
]
60.57%
224,014 21.1%
[
64.0%
-
64.5%
]
64.39%
71,088 24.6%
[
65.0%
-
65.5%
]
65.17%
29,830 21.9%
[
66.5%
-
67.0%
]
66.94%
42,081 24.5%