Cuban Female Poverty

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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
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Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch 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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Female Poverty
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Cuban Female Poverty
Tragic

15.3%
POVERTY | FEMALES
0.3/ 100
METRIC RATING
246th/ 347
METRIC RANK

Cuban Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 448,858,548 people shows no correlation between the proportion of Cubans and poverty level among females in the United States with a correlation coefficient (R) of 0.025 and weighted average of 15.3%. On average, for every 1% (one percent) increase in Cubans within a typical geography, there is an increase of 0.0050% in poverty level among females.
Cuban Female Poverty
It is essential to understand that the correlation between the percentage of Cubans and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Cubans influences an upward or downward trend in the level of poverty level among females within an area, or if Cubans simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.

Demographics Similar to Cubans by Female Poverty

In terms of female poverty, the demographic groups most similar to Cubans are Potawatomi (15.3%, a difference of 0.010%), Immigrants from Ghana (15.3%, a difference of 0.010%), Spanish American Indian (15.3%, a difference of 0.050%), Ecuadorian (15.3%, a difference of 0.15%), and Salvadoran (15.3%, a difference of 0.15%).
DemographicsRating | RankFemale Poverty
Immigrants from Middle Africa
0.5
/100
|
#239
Tragic
15.2%
Sudanese
0.5
/100
|
#240
Tragic
15.2%
Immigrants from Sudan
0.4
/100
|
#241
Tragic
15.2%
Nepalese
0.4
/100
|
#242
Tragic
15.2%
Nicaraguans
0.3
/100
|
#243
Tragic
15.3%
Ecuadorians
0.3
/100
|
#244
Tragic
15.3%
Spanish American Indians
0.3
/100
|
#245
Tragic
15.3%
Cubans
0.3
/100
|
#246
Tragic
15.3%
Potawatomi
0.3
/100
|
#247
Tragic
15.3%
Immigrants from Ghana
0.3
/100
|
#248
Tragic
15.3%
Salvadorans
0.3
/100
|
#249
Tragic
15.3%
Immigrants from Western Africa
0.3
/100
|
#250
Tragic
15.3%
Immigrants from Trinidad and Tobago
0.3
/100
|
#251
Tragic
15.4%
Immigrants from Burma/Myanmar
0.3
/100
|
#252
Tragic
15.4%
Liberians
0.2
/100
|
#253
Tragic
15.4%

Cuban Female Poverty Correlation Summary

Measurement Cuban Data Female Poverty Data
Minimum 0.21% 5.8%
Maximum 81.9% 31.2%
Range 81.6% 25.5%
Mean 31.9% 15.8%
Median 27.9% 14.6%
Interquartile 25% (IQ1) 13.0% 13.2%
Interquartile 75% (IQ3) 49.7% 17.7%
Interquartile Range (IQR) 36.7% 4.5%
Standard Deviation (Sample) 22.3% 4.5%
Standard Deviation (Population) 22.2% 4.4%

Correlation Details

Cuban Percentile Sample Size Female Poverty
[
0.0%
-
0.5%
]
0.21%
333,415,468 14.5%
[
0.5%
-
1.0%
]
0.69%
60,460,294 13.9%
[
1.0%
-
1.5%
]
1.21%
16,848,812 13.7%
[
1.5%
-
2.0%
]
1.71%
9,825,477 14.0%
[
2.0%
-
2.5%
]
2.24%
5,674,668 13.4%
[
2.5%
-
3.0%
]
2.73%
4,780,880 14.3%
[
3.0%
-
3.5%
]
3.24%
2,344,413 15.0%
[
3.5%
-
4.0%
]
3.73%
1,877,011 13.9%
[
4.0%
-
4.5%
]
4.22%
1,152,012 14.4%
[
4.5%
-
5.0%
]
4.71%
830,666 14.3%
[
5.0%
-
5.5%
]
5.27%
845,088 17.3%
[
5.5%
-
6.0%
]
5.70%
730,481 14.1%
[
6.0%
-
6.5%
]
6.28%
533,132 15.2%
[
6.5%
-
7.0%
]
6.78%
350,141 15.3%
[
7.0%
-
7.5%
]
7.32%
457,646 14.5%
[
7.5%
-
8.0%
]
7.75%
859,446 18.0%
[
8.0%
-
8.5%
]
8.34%
347,224 17.1%
[
8.5%
-
9.0%
]
8.85%
339,408 14.9%
[
9.0%
-
9.5%
]
9.27%
251,121 13.1%
[
9.5%
-
10.0%
]
9.72%
127,573 17.4%
[
10.0%
-
10.5%
]
10.11%
282,270 12.9%
[
10.5%
-
11.0%
]
10.76%
169,436 11.1%
[
11.0%
-
11.5%
]
11.25%
199,435 16.7%
[
11.5%
-
12.0%
]
11.82%
85,803 13.1%
[
12.0%
-
12.5%
]
12.15%
190,194 14.6%
[
12.5%
-
13.0%
]
12.79%
139,706 13.4%
[
13.0%
-
13.5%
]
13.25%
253,483 13.8%
[
13.5%
-
14.0%
]
13.75%
144,579 17.1%
[
14.0%
-
14.5%
]
14.07%
32,641 13.0%
[
14.5%
-
15.0%
]
14.62%
100,449 18.6%
[
15.0%
-
15.5%
]
15.14%
354,114 15.0%
[
15.5%
-
16.0%
]
15.67%
8,237 18.7%
[
16.0%
-
16.5%
]
16.37%
56,734 15.8%
[
16.5%
-
17.0%
]
16.65%
17,876 29.2%
[
17.0%
-
17.5%
]
17.13%
148,118 19.9%
[
17.5%
-
18.0%
]
17.73%
84,471 8.5%
[
18.0%
-
18.5%
]
18.15%
182,425 15.0%
[
18.5%
-
19.0%
]
18.94%
74,371 13.2%
[
19.0%
-
19.5%
]
19.48%
13,265 12.7%
[
19.5%
-
20.0%
]
19.81%
96,744 16.6%
[
20.0%
-
20.5%
]
20.27%
80,415 22.6%
[
20.5%
-
21.0%
]
20.86%
125,179 19.1%
[
21.0%
-
21.5%
]
21.40%
53,076 7.3%
[
21.5%
-
22.0%
]
21.70%
40,853 18.9%
[
22.0%
-
22.5%
]
22.05%
77,008 25.0%
[
23.5%
-
24.0%
]
23.67%
50,571 23.8%
[
24.0%
-
24.5%
]
24.19%
62 31.2%
[
24.5%
-
25.0%
]
24.54%
10,520 11.7%
[
25.0%
-
25.5%
]
25.25%
123,956 14.2%
[
25.5%
-
26.0%
]
25.70%
126,156 15.8%
[
26.0%
-
26.5%
]
26.23%
33,851 24.6%
[
26.5%
-
27.0%
]
26.84%
56,068 21.7%
[
27.5%
-
28.0%
]
27.92%
15,184 8.6%
[
28.0%
-
28.5%
]
28.15%
96,294 21.1%
[
28.5%
-
29.0%
]
28.65%
81,384 11.8%
[
29.0%
-
29.5%
]
29.11%
35,969 19.8%
[
29.5%
-
30.0%
]
29.72%
44,956 17.3%
[
30.5%
-
31.0%
]
30.57%
69,152 14.8%
[
31.5%
-
32.0%
]
31.84%
112,692 16.3%
[
32.0%
-
32.5%
]
32.04%
497,852 21.1%
[
32.5%
-
33.0%
]
32.78%
150,531 13.8%
[
33.5%
-
34.0%
]
33.61%
81,319 14.9%
[
34.0%
-
34.5%
]
34.13%
46,844 17.1%
[
34.5%
-
35.0%
]
34.64%
78,402 11.6%
[
35.0%
-
35.5%
]
35.19%
147,444 13.8%
[
35.5%
-
36.0%
]
35.76%
17,902 13.7%
[
36.0%
-
36.5%
]
36.36%
23,799 11.2%
[
37.5%
-
38.0%
]
37.56%
26,994 13.6%
[
40.0%
-
40.5%
]
40.39%
40,278 15.6%
[
42.0%
-
42.5%
]
42.36%
88,933 11.5%
[
42.5%
-
43.0%
]
42.99%
29,240 14.5%
[
43.0%
-
43.5%
]
43.35%
76,412 12.9%
[
43.5%
-
44.0%
]
43.83%
105,481 11.1%
[
44.0%
-
44.5%
]
44.15%
56,791 15.3%
[
44.5%
-
45.0%
]
44.76%
45,669 16.2%
[
45.0%
-
45.5%
]
45.18%
35,705 20.3%
[
45.5%
-
46.0%
]
45.68%
68,602 25.3%
[
46.0%
-
46.5%
]
46.05%
33,026 14.3%
[
48.5%
-
49.0%
]
48.64%
81,858 19.8%
[
50.5%
-
51.0%
]
50.74%
3,400 27.7%
[
51.5%
-
52.0%
]
51.73%
34,335 14.9%
[
52.0%
-
52.5%
]
52.27%
13,163 9.6%
[
52.5%
-
53.0%
]
52.97%
29,530 11.5%
[
53.5%
-
54.0%
]
53.91%
42,710 14.5%
[
54.5%
-
55.0%
]
54.83%
34,057 12.2%
[
55.0%
-
55.5%
]
55.44%
19,399 18.6%
[
56.5%
-
57.0%
]
56.95%
52,661 11.6%
[
58.0%
-
58.5%
]
58.48%
43,702 11.0%
[
60.5%
-
61.0%
]
60.80%
52,101 16.6%
[
61.5%
-
62.0%
]
61.83%
30,621 5.8%
[
62.0%
-
62.5%
]
62.37%
13,877 13.4%
[
62.5%
-
63.0%
]
62.57%
55,241 12.1%
[
63.5%
-
64.0%
]
63.81%
52,851 15.0%
[
64.0%
-
64.5%
]
64.40%
53,765 10.7%
[
64.5%
-
65.0%
]
64.80%
24,597 13.7%
[
67.0%
-
67.5%
]
67.07%
45,620 18.2%
[
67.5%
-
68.0%
]
67.76%
104,796 13.4%
[
68.0%
-
68.5%
]
68.14%
10,725 11.7%
[
69.0%
-
69.5%
]
69.21%
21,076 14.2%
[
70.0%
-
70.5%
]
70.48%
53,065 12.0%
[
70.5%
-
71.0%
]
70.69%
22,815 16.6%
[
75.0%
-
75.5%
]
75.16%
249,702 19.9%
[
79.0%
-
79.5%
]
79.36%
42,081 24.7%
[
80.0%
-
80.5%
]
80.06%
71,088 21.0%
[
81.5%
-
82.0%
]
81.85%
29,830 23.7%