Brazilian Single Female Poverty

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AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBritishBritish 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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Single Female Poverty
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Brazilian Single Female Poverty
Exceptional

20.1%
POVERTY | SINGLE FEMALES
94.4/ 100
METRIC RATING
123rd/ 347
METRIC RANK

Brazilian Single Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 319,523,574 people shows a moderate positive correlation between the proportion of Brazilians and poverty level among single females in the United States with a correlation coefficient (R) of 0.410 and weighted average of 20.1%. On average, for every 1% (one percent) increase in Brazilians within a typical geography, there is an increase of 0.88% in poverty level among single females.
Brazilian Single Female Poverty
It is essential to understand that the correlation between the percentage of Brazilians and poverty level among single females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Brazilians influences an upward or downward trend in the level of poverty level among single females within an area, or if Brazilians simply ended up residing in those areas with higher or lower levels of poverty level among single females due to other factors.

Demographics Similar to Brazilians by Single Female Poverty

In terms of single female poverty, the demographic groups most similar to Brazilians are Immigrants from Chile (20.1%, a difference of 0.030%), Immigrants from South Africa (20.1%, a difference of 0.15%), Immigrants from South America (20.0%, a difference of 0.18%), Immigrants from Switzerland (20.0%, a difference of 0.21%), and South American (20.0%, a difference of 0.24%).
DemographicsRating | RankSingle Female Poverty
Immigrants from Kazakhstan
95.7
/100
|
#116
Exceptional
20.0%
Poles
95.6
/100
|
#117
Exceptional
20.0%
Immigrants from Afghanistan
95.4
/100
|
#118
Exceptional
20.0%
Immigrants from Ethiopia
95.4
/100
|
#119
Exceptional
20.0%
South Americans
95.1
/100
|
#120
Exceptional
20.0%
Immigrants from Switzerland
95.1
/100
|
#121
Exceptional
20.0%
Immigrants from South America
95.0
/100
|
#122
Exceptional
20.0%
Brazilians
94.4
/100
|
#123
Exceptional
20.1%
Immigrants from Chile
94.3
/100
|
#124
Exceptional
20.1%
Immigrants from South Africa
93.9
/100
|
#125
Exceptional
20.1%
Serbians
93.3
/100
|
#126
Exceptional
20.1%
Mongolians
93.2
/100
|
#127
Exceptional
20.2%
Immigrants from Spain
92.7
/100
|
#128
Exceptional
20.2%
Immigrants from Morocco
92.4
/100
|
#129
Exceptional
20.2%
Immigrants from Hungary
92.3
/100
|
#130
Exceptional
20.2%

Brazilian Single Female Poverty Correlation Summary

MeasurementBrazilian DataSingle Female Poverty Data
Minimum0.046%4.3%
Maximum26.5%58.7%
Range26.4%54.4%
Mean5.6%22.4%
Median4.3%19.7%
Interquartile 25% (IQ1)2.1%17.3%
Interquartile 75% (IQ3)7.4%23.9%
Interquartile Range (IQR)5.3%6.6%
Standard Deviation (Sample)4.9%10.5%
Standard Deviation (Population)4.8%10.4%

Correlation Details

Brazilian PercentileSample SizeSingle Female Poverty
[
0.0%
-
0.5%
]
0.046%
136,443,30122.5%
[
0.0%
-
0.5%
]
0.14%
84,642,06521.1%
[
0.0%
-
0.5%
]
0.24%
31,135,63618.8%
[
0.0%
-
0.5%
]
0.33%
19,282,97618.7%
[
0.0%
-
0.5%
]
0.43%
11,775,88717.6%
[
0.5%
-
1.0%
]
0.53%
7,359,53918.9%
[
0.5%
-
1.0%
]
0.63%
5,513,40217.0%
[
0.5%
-
1.0%
]
0.73%
2,428,85318.6%
[
0.5%
-
1.0%
]
0.81%
2,995,60618.4%
[
0.5%
-
1.0%
]
0.92%
2,467,91218.3%
[
1.0%
-
1.5%
]
1.02%
1,916,96119.0%
[
1.0%
-
1.5%
]
1.12%
1,519,83917.9%
[
1.0%
-
1.5%
]
1.21%
1,405,33918.4%
[
1.0%
-
1.5%
]
1.31%
878,00615.5%
[
1.0%
-
1.5%
]
1.41%
774,28221.0%
[
1.5%
-
2.0%
]
1.50%
787,40218.0%
[
1.5%
-
2.0%
]
1.60%
550,36817.9%
[
1.5%
-
2.0%
]
1.69%
975,84217.3%
[
1.5%
-
2.0%
]
1.81%
223,94623.6%
[
1.5%
-
2.0%
]
1.90%
484,71014.3%
[
1.5%
-
2.0%
]
1.97%
126,28521.8%
[
2.0%
-
2.5%
]
2.11%
717,17117.4%
[
2.0%
-
2.5%
]
2.18%
434,17013.9%
[
2.0%
-
2.5%
]
2.30%
342,54917.5%
[
2.0%
-
2.5%
]
2.37%
281,58027.2%
[
2.0%
-
2.5%
]
2.47%
108,02120.6%
[
2.5%
-
3.0%
]
2.56%
197,00219.8%
[
2.5%
-
3.0%
]
2.67%
120,84518.6%
[
2.5%
-
3.0%
]
2.79%
53,1168.5%
[
2.5%
-
3.0%
]
2.87%
153,94523.9%
[
2.5%
-
3.0%
]
2.98%
182,70119.6%
[
3.0%
-
3.5%
]
3.06%
49,9909.3%
[
3.0%
-
3.5%
]
3.16%
60,52820.0%
[
3.0%
-
3.5%
]
3.37%
107,27118.4%
[
3.0%
-
3.5%
]
3.45%
235,66722.2%
[
3.5%
-
4.0%
]
3.58%
254,01726.3%
[
3.5%
-
4.0%
]
3.65%
142,75822.5%
[
3.5%
-
4.0%
]
3.74%
169,34821.9%
[
3.5%
-
4.0%
]
3.87%
31,70921.0%
[
3.5%
-
4.0%
]
3.96%
97,15814.7%
[
4.0%
-
4.5%
]
4.03%
134,82713.3%
[
4.0%
-
4.5%
]
4.13%
28,64915.8%
[
4.0%
-
4.5%
]
4.25%
6,18620.3%
[
4.0%
-
4.5%
]
4.32%
61,2358.2%
[
4.0%
-
4.5%
]
4.47%
42,04514.3%
[
4.0%
-
4.5%
]
4.50%
122,61818.7%
[
4.5%
-
5.0%
]
4.64%
2,37139.7%
[
4.5%
-
5.0%
]
4.79%
321,50834.6%
[
4.5%
-
5.0%
]
4.90%
9,24623.7%
[
5.0%
-
5.5%
]
5.02%
5,53955.7%
[
5.0%
-
5.5%
]
5.18%
29,57616.3%
[
5.5%
-
6.0%
]
5.61%
144,03014.5%
[
5.5%
-
6.0%
]
5.70%
20,6684.5%
[
5.5%
-
6.0%
]
5.82%
3,78340.3%
[
6.0%
-
6.5%
]
6.09%
10,62345.9%
[
6.0%
-
6.5%
]
6.20%
74237.5%
[
6.0%
-
6.5%
]
6.25%
8,18815.9%
[
6.0%
-
6.5%
]
6.40%
5,00322.0%
[
6.0%
-
6.5%
]
6.48%
48,92217.1%
[
6.5%
-
7.0%
]
6.59%
56,89131.7%
[
6.5%
-
7.0%
]
6.84%
68,93012.4%
[
6.5%
-
7.0%
]
7.00%
46,59511.5%
[
7.0%
-
7.5%
]
7.12%
2,33035.8%
[
7.0%
-
7.5%
]
7.25%
33,6919.9%
[
7.0%
-
7.5%
]
7.37%
17,21425.1%
[
7.0%
-
7.5%
]
7.43%
54,95720.7%
[
8.0%
-
8.5%
]
8.10%
49,89020.2%
[
8.5%
-
9.0%
]
8.59%
32,07620.0%
[
8.5%
-
9.0%
]
8.89%
118,54621.6%
[
8.5%
-
9.0%
]
8.96%
31,93232.1%
[
9.0%
-
9.5%
]
9.37%
97,37025.9%
[
9.5%
-
10.0%
]
9.81%
11,5514.3%
[
9.5%
-
10.0%
]
9.91%
13,15458.7%
[
10.0%
-
10.5%
]
10.38%
60,00918.4%
[
10.5%
-
11.0%
]
10.51%
1,58035.8%
[
10.5%
-
11.0%
]
10.79%
82,78218.4%
[
11.5%
-
12.0%
]
11.68%
50,11216.8%
[
11.5%
-
12.0%
]
11.74%
71,80524.6%
[
11.5%
-
12.0%
]
11.93%
3,58955.7%
[
12.0%
-
12.5%
]
12.14%
17,17818.2%
[
13.0%
-
13.5%
]
13.38%
30,41122.9%
[
14.0%
-
14.5%
]
14.48%
27,56923.4%
[
15.0%
-
15.5%
]
15.29%
8,54727.4%
[
17.5%
-
18.0%
]
17.87%
38,89831.1%
[
21.5%
-
22.0%
]
21.74%
61,85539.9%
[
26.0%
-
26.5%
]
26.46%
65046.7%