Immigrants from Mexico Child Poverty Among Girls Under 16

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Immigrants from Mexico
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 AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMicronesiaMiddle 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 Girls Under 16
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Immigrants from Mexico Child Poverty Among Girls Under 16
Tragic

21.6%
POVERTY | GIRLS < 16
0.0/ 100
METRIC RATING
312th/ 347
METRIC RANK

Immigrants from Mexico Child Poverty Among Girls Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 501,744,550 people shows a significant positive correlation between the proportion of Immigrants from Mexico and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.656 and weighted average of 21.6%. On average, for every 1% (one percent) increase in Immigrants from Mexico within a typical geography, there is an increase of 0.76% in poverty level among girls under the age of 16.
Immigrants from Mexico Child Poverty Among Girls Under 16
It is essential to understand that the correlation between the percentage of Immigrants from Mexico and poverty level among girls under the age of 16 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Mexico influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Immigrants from Mexico simply ended up residing in those areas with higher or lower levels of poverty level among girls under the age of 16 due to other factors.

Demographics Similar to Immigrants from Mexico by Child Poverty Among Girls Under 16

In terms of child poverty among girls under 16, the demographic groups most similar to Immigrants from Mexico are Dutch West Indian (21.6%, a difference of 0.23%), Immigrants from Somalia (21.6%, a difference of 0.29%), Creek (21.7%, a difference of 0.50%), Arapaho (21.7%, a difference of 0.51%), and Bahamian (21.5%, a difference of 0.56%).
DemographicsRating | RankChild Poverty Among Girls Under 16
Guatemalans
0.0
/100
|
#305
Tragic
21.4%
Immigrants from Central America
0.0
/100
|
#306
Tragic
21.4%
Immigrants from Bahamas
0.0
/100
|
#307
Tragic
21.4%
Houma
0.0
/100
|
#308
Tragic
21.5%
Bahamians
0.0
/100
|
#309
Tragic
21.5%
Immigrants from Somalia
0.0
/100
|
#310
Tragic
21.6%
Dutch West Indians
0.0
/100
|
#311
Tragic
21.6%
Immigrants from Mexico
0.0
/100
|
#312
Tragic
21.6%
Creek
0.0
/100
|
#313
Tragic
21.7%
Arapaho
0.0
/100
|
#314
Tragic
21.7%
Ute
0.0
/100
|
#315
Tragic
21.8%
Immigrants from Guatemala
0.0
/100
|
#316
Tragic
21.9%
Africans
0.0
/100
|
#317
Tragic
21.9%
Immigrants from Dominica
0.0
/100
|
#318
Tragic
22.1%
U.S. Virgin Islanders
0.0
/100
|
#319
Tragic
22.1%

Immigrants from Mexico Child Poverty Among Girls Under 16 Correlation Summary

MeasurementImmigrants from Mexico DataChild Poverty Among Girls Under 16 Data
Minimum0.24%10.6%
Maximum77.7%100.0%
Range77.4%89.4%
Mean30.8%33.4%
Median29.9%25.9%
Interquartile 25% (IQ1)15.0%21.0%
Interquartile 75% (IQ3)45.1%34.7%
Interquartile Range (IQR)30.0%13.8%
Standard Deviation (Sample)18.8%21.9%
Standard Deviation (Population)18.7%21.8%

Correlation Details

Immigrants from Mexico PercentileSample SizeChild Poverty Among Girls Under 16
[
0.0%
-
0.5%
]
0.24%
129,630,83016.1%
[
0.5%
-
1.0%
]
0.73%
75,468,25016.2%
[
1.0%
-
1.5%
]
1.22%
45,176,33515.7%
[
1.5%
-
2.0%
]
1.77%
40,745,32918.3%
[
2.0%
-
2.5%
]
2.24%
23,402,87616.3%
[
2.5%
-
3.0%
]
2.75%
19,351,28716.8%
[
3.0%
-
3.5%
]
3.24%
16,379,50416.7%
[
3.5%
-
4.0%
]
3.73%
11,202,80616.0%
[
4.0%
-
4.5%
]
4.23%
9,816,39217.3%
[
4.5%
-
5.0%
]
4.74%
8,550,34419.5%
[
5.0%
-
5.5%
]
5.22%
8,981,13318.0%
[
5.5%
-
6.0%
]
5.75%
7,535,50017.7%
[
6.0%
-
6.5%
]
6.23%
6,215,26016.6%
[
6.5%
-
7.0%
]
6.75%
5,703,76218.7%
[
7.0%
-
7.5%
]
7.27%
4,442,32716.9%
[
7.5%
-
8.0%
]
7.82%
5,383,97017.1%
[
8.0%
-
8.5%
]
8.20%
7,092,13019.6%
[
8.5%
-
9.0%
]
8.79%
7,163,51521.7%
[
9.0%
-
9.5%
]
9.21%
3,834,33620.4%
[
9.5%
-
10.0%
]
9.79%
2,616,34922.0%
[
10.0%
-
10.5%
]
10.32%
4,559,24925.9%
[
10.5%
-
11.0%
]
10.71%
2,701,25821.1%
[
11.0%
-
11.5%
]
11.23%
3,279,36021.2%
[
11.5%
-
12.0%
]
11.69%
8,236,18221.3%
[
12.0%
-
12.5%
]
12.20%
2,783,18020.5%
[
12.5%
-
13.0%
]
12.73%
2,199,73519.8%
[
13.0%
-
13.5%
]
13.26%
1,669,41620.7%
[
13.5%
-
14.0%
]
13.65%
2,708,39325.4%
[
14.0%
-
14.5%
]
14.23%
2,395,01422.5%
[
14.5%
-
15.0%
]
14.76%
1,566,26423.0%
[
15.0%
-
15.5%
]
15.28%
1,799,47622.8%
[
15.5%
-
16.0%
]
15.74%
1,467,88920.9%
[
16.0%
-
16.5%
]
16.30%
1,602,25724.9%
[
16.5%
-
17.0%
]
16.73%
2,363,13722.7%
[
17.0%
-
17.5%
]
17.28%
1,361,23623.9%
[
17.5%
-
18.0%
]
17.73%
1,137,88325.9%
[
18.0%
-
18.5%
]
18.21%
1,137,85920.2%
[
18.5%
-
19.0%
]
18.73%
1,254,87124.4%
[
19.0%
-
19.5%
]
19.24%
737,55925.2%
[
19.5%
-
20.0%
]
19.77%
1,839,11324.7%
[
20.0%
-
20.5%
]
20.29%
1,033,60225.7%
[
20.5%
-
21.0%
]
20.78%
578,88427.9%
[
21.0%
-
21.5%
]
21.30%
818,17222.1%
[
21.5%
-
22.0%
]
21.75%
665,97227.9%
[
22.0%
-
22.5%
]
22.21%
727,36523.8%
[
22.5%
-
23.0%
]
22.75%
886,71423.1%
[
23.0%
-
23.5%
]
23.27%
1,162,97423.9%
[
23.5%
-
24.0%
]
23.79%
591,24124.7%
[
24.0%
-
24.5%
]
24.27%
461,58828.8%
[
24.5%
-
25.0%
]
24.72%
322,08837.7%
[
25.0%
-
25.5%
]
25.30%
711,47534.9%
[
25.5%
-
26.0%
]
25.69%
669,41230.2%
[
26.0%
-
26.5%
]
26.35%
333,36025.6%
[
26.5%
-
27.0%
]
26.78%
525,09827.5%
[
27.0%
-
27.5%
]
27.22%
726,62528.6%
[
27.5%
-
28.0%
]
27.70%
464,00822.5%
[
28.0%
-
28.5%
]
28.20%
382,63532.8%
[
28.5%
-
29.0%
]
28.85%
696,40925.0%
[
29.0%
-
29.5%
]
29.24%
777,16936.2%
[
29.5%
-
30.0%
]
29.72%
263,13431.9%
[
30.0%
-
30.5%
]
30.14%
281,45726.8%
[
30.5%
-
31.0%
]
30.80%
271,02927.6%
[
31.0%
-
31.5%
]
31.26%
132,97222.3%
[
31.5%
-
32.0%
]
31.74%
261,21228.9%
[
32.0%
-
32.5%
]
32.20%
187,83037.8%
[
32.5%
-
33.0%
]
32.81%
536,72223.6%
[
33.0%
-
33.5%
]
33.22%
126,89830.0%
[
33.5%
-
34.0%
]
33.71%
49,27720.7%
[
34.0%
-
34.5%
]
34.26%
239,29725.9%
[
34.5%
-
35.0%
]
34.76%
401,12225.9%
[
35.0%
-
35.5%
]
35.19%
58,53336.2%
[
35.5%
-
36.0%
]
35.65%
8,36710.6%
[
36.0%
-
36.5%
]
36.21%
82,57832.7%
[
36.5%
-
37.0%
]
36.73%
51,96031.2%
[
37.0%
-
37.5%
]
37.30%
3,93065.2%
[
37.5%
-
38.0%
]
37.86%
43,22430.2%
[
38.0%
-
38.5%
]
38.29%
92,64434.1%
[
38.5%
-
39.0%
]
38.67%
8,40240.9%
[
39.0%
-
39.5%
]
39.22%
115,47924.4%
[
39.5%
-
40.0%
]
39.72%
55,72444.5%
[
40.0%
-
40.5%
]
40.33%
6,04035.1%
[
40.5%
-
41.0%
]
40.80%
91,46935.4%
[
41.0%
-
41.5%
]
41.27%
81,56534.0%
[
41.5%
-
42.0%
]
41.78%
2,15927.2%
[
42.0%
-
42.5%
]
42.22%
13,48543.9%
[
42.5%
-
43.0%
]
42.84%
29,86029.2%
[
43.0%
-
43.5%
]
43.31%
28,94234.6%
[
43.5%
-
44.0%
]
43.84%
1,99633.7%
[
44.0%
-
44.5%
]
44.29%
63,31634.2%
[
44.5%
-
45.0%
]
44.71%
4,97447.4%
[
45.0%
-
45.5%
]
45.41%
22,63038.2%
[
45.5%
-
46.0%
]
45.57%
28,78219.7%
[
46.5%
-
47.0%
]
46.81%
8,47559.5%
[
47.0%
-
47.5%
]
47.36%
6,67629.9%
[
48.0%
-
48.5%
]
48.08%
391100.0%
[
48.5%
-
49.0%
]
48.71%
9,78026.8%
[
49.0%
-
49.5%
]
49.33%
89216.1%
[
49.5%
-
50.0%
]
49.56%
2,85760.8%
[
50.0%
-
50.5%
]
50.37%
3,48054.0%
[
50.5%
-
51.0%
]
50.67%
1,35234.0%
[
51.0%
-
51.5%
]
51.16%
2,41618.1%
[
51.5%
-
52.0%
]
51.53%
1,23876.1%
[
52.0%
-
52.5%
]
52.49%
844100.0%
[
53.0%
-
53.5%
]
53.49%
2,61010.7%
[
53.5%
-
54.0%
]
53.99%
9,36228.9%
[
54.0%
-
54.5%
]
54.31%
1,07952.5%
[
54.5%
-
55.0%
]
54.55%
121100.0%
[
55.0%
-
55.5%
]
55.33%
13,27940.6%
[
56.0%
-
56.5%
]
56.13%
1,40422.0%
[
57.5%
-
58.0%
]
57.52%
113100.0%
[
58.0%
-
58.5%
]
58.34%
73731.1%
[
59.5%
-
60.0%
]
59.83%
117100.0%
[
60.5%
-
61.0%
]
60.71%
48143.0%
[
62.0%
-
62.5%
]
62.37%
194100.0%
[
62.5%
-
63.0%
]
62.93%
1,57019.9%
[
63.0%
-
63.5%
]
63.13%
35848.6%
[
64.5%
-
65.0%
]
64.85%
1,10130.5%
[
66.5%
-
67.0%
]
66.67%
114100.0%
[
74.0%
-
74.5%
]
74.19%
31100.0%
[
77.5%
-
78.0%
]
77.68%
112100.0%