Russian Female Poverty

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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 SalishRomanianSalvadoranSamoanScandinavianScotch-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

Russian Female Poverty
Exceptional

11.8%
POVERTY | FEMALES
99.3/ 100
METRIC RATING
38th/ 347
METRIC RANK

Russian Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 511,408,549 people shows a substantial positive correlation between the proportion of Russians and poverty level among females in the United States with a correlation coefficient (R) of 0.553 and weighted average of 11.8%. On average, for every 1% (one percent) increase in Russians within a typical geography, there is an increase of 0.64% in poverty level among females.
Russian Female Poverty
It is essential to understand that the correlation between the percentage of Russians and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Russians influences an upward or downward trend in the level of poverty level among females within an area, or if Russians simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.

Demographics Similar to Russians by Female Poverty

In terms of female poverty, the demographic groups most similar to Russians are Immigrants from Greece (11.8%, a difference of 0.020%), Immigrants from Pakistan (11.8%, a difference of 0.11%), Immigrants from Poland (11.8%, a difference of 0.21%), Macedonian (11.8%, a difference of 0.26%), and Immigrants from Iran (11.8%, a difference of 0.28%).
DemographicsRating | RankFemale Poverty
Poles
99.5
/100
|
#31
Exceptional
11.7%
Danes
99.5
/100
|
#32
Exceptional
11.7%
Cypriots
99.5
/100
|
#33
Exceptional
11.8%
Immigrants from Singapore
99.4
/100
|
#34
Exceptional
11.8%
Immigrants from Iran
99.4
/100
|
#35
Exceptional
11.8%
Immigrants from Pakistan
99.4
/100
|
#36
Exceptional
11.8%
Immigrants from Greece
99.3
/100
|
#37
Exceptional
11.8%
Russians
99.3
/100
|
#38
Exceptional
11.8%
Immigrants from Poland
99.3
/100
|
#39
Exceptional
11.8%
Macedonians
99.3
/100
|
#40
Exceptional
11.8%
Czechs
99.2
/100
|
#41
Exceptional
11.9%
Immigrants from Moldova
99.2
/100
|
#42
Exceptional
11.9%
Koreans
99.2
/100
|
#43
Exceptional
11.9%
Tongans
99.2
/100
|
#44
Exceptional
11.9%
Immigrants from Czechoslovakia
99.2
/100
|
#45
Exceptional
11.9%

Russian Female Poverty Correlation Summary

MeasurementRussian DataFemale Poverty Data
Minimum0.22%3.6%
Maximum92.3%100.0%
Range92.1%96.4%
Mean20.0%17.7%
Median17.0%11.4%
Interquartile 25% (IQ1)8.5%8.2%
Interquartile 75% (IQ3)28.6%16.5%
Interquartile Range (IQR)20.1%8.2%
Standard Deviation (Sample)16.1%18.5%
Standard Deviation (Population)15.9%18.4%

Correlation Details

Russian PercentileSample SizeFemale Poverty
[
0.0%
-
0.5%
]
0.22%
235,283,02615.8%
[
0.5%
-
1.0%
]
0.67%
126,998,54012.6%
[
1.0%
-
1.5%
]
1.12%
59,047,37611.4%
[
1.5%
-
2.0%
]
1.60%
36,128,10611.4%
[
2.0%
-
2.5%
]
2.07%
24,949,26413.2%
[
2.5%
-
3.0%
]
2.51%
8,398,3809.8%
[
2.5%
-
3.0%
]
2.98%
5,691,4419.8%
[
3.0%
-
3.5%
]
3.44%
3,347,0209.6%
[
3.5%
-
4.0%
]
3.92%
2,472,8138.9%
[
4.0%
-
4.5%
]
4.34%
2,287,9609.2%
[
4.5%
-
5.0%
]
4.82%
1,264,5708.9%
[
5.0%
-
5.5%
]
5.30%
1,315,3498.4%
[
5.5%
-
6.0%
]
5.73%
749,4078.0%
[
6.0%
-
6.5%
]
6.23%
781,2717.5%
[
6.5%
-
7.0%
]
6.71%
627,6898.7%
[
7.0%
-
7.5%
]
7.18%
391,3499.5%
[
7.5%
-
8.0%
]
7.63%
464,0238.2%
[
8.0%
-
8.5%
]
8.08%
294,8527.3%
[
8.0%
-
8.5%
]
8.49%
117,8107.4%
[
8.5%
-
9.0%
]
8.91%
226,1276.4%
[
9.0%
-
9.5%
]
9.39%
149,8148.5%
[
9.5%
-
10.0%
]
9.79%
87,69421.7%
[
10.0%
-
10.5%
]
10.39%
62,0647.4%
[
10.5%
-
11.0%
]
10.87%
27,5738.9%
[
11.0%
-
11.5%
]
11.28%
27,06210.0%
[
11.5%
-
12.0%
]
11.75%
13,3759.1%
[
12.0%
-
12.5%
]
12.06%
31,97215.2%
[
12.5%
-
13.0%
]
12.58%
1,11312.4%
[
12.5%
-
13.0%
]
12.93%
14,0354.5%
[
13.5%
-
14.0%
]
13.66%
3,69013.0%
[
13.5%
-
14.0%
]
13.99%
14,6885.9%
[
14.0%
-
14.5%
]
14.42%
12,8335.0%
[
15.0%
-
15.5%
]
15.08%
7,2999.4%
[
15.5%
-
16.0%
]
15.59%
1,71311.4%
[
15.5%
-
16.0%
]
15.81%
5,23716.5%
[
16.0%
-
16.5%
]
16.31%
3,0358.7%
[
16.5%
-
17.0%
]
16.83%
4,8613.6%
[
17.0%
-
17.5%
]
17.25%
1,5546.3%
[
17.5%
-
18.0%
]
17.60%
83,06916.8%
[
18.0%
-
18.5%
]
18.02%
1728.8%
[
18.5%
-
19.0%
]
18.61%
2,28917.8%
[
19.5%
-
20.0%
]
19.83%
2376.6%
[
20.0%
-
20.5%
]
20.21%
2,10810.3%
[
20.0%
-
20.5%
]
20.46%
2,93712.6%
[
20.5%
-
21.0%
]
20.92%
98016.6%
[
21.0%
-
21.5%
]
21.36%
6187.1%
[
21.5%
-
22.0%
]
22.00%
44115.2%
[
22.0%
-
22.5%
]
22.33%
2,88015.5%
[
22.5%
-
23.0%
]
22.68%
29112.7%
[
23.0%
-
23.5%
]
23.15%
6915.3%
[
24.0%
-
24.5%
]
24.16%
17814.0%
[
24.5%
-
25.0%
]
24.57%
8678.1%
[
25.5%
-
26.0%
]
25.57%
39530.4%
[
26.0%
-
26.5%
]
26.28%
66631.6%
[
26.5%
-
27.0%
]
26.92%
7814.6%
[
28.5%
-
29.0%
]
28.57%
5614.3%
[
28.5%
-
29.0%
]
28.89%
907.9%
[
29.0%
-
29.5%
]
29.18%
8914.2%
[
29.5%
-
30.0%
]
29.55%
4463.9%
[
30.5%
-
31.0%
]
30.83%
12062.5%
[
32.0%
-
32.5%
]
32.12%
1374.5%
[
32.5%
-
33.0%
]
32.61%
9273.2%
[
35.0%
-
35.5%
]
35.07%
40251.2%
[
35.0%
-
35.5%
]
35.14%
7425.4%
[
35.5%
-
36.0%
]
35.79%
9512.5%
[
37.0%
-
37.5%
]
37.21%
12931.2%
[
37.5%
-
38.0%
]
37.78%
9013.0%
[
39.0%
-
39.5%
]
39.12%
97935.5%
[
39.0%
-
39.5%
]
39.33%
17832.3%
[
41.0%
-
41.5%
]
41.49%
9422.2%
[
47.0%
-
47.5%
]
47.06%
5154.5%
[
50.0%
-
50.5%
]
50.00%
4100.0%
[
71.5%
-
72.0%
]
71.88%
12875.4%
[
92.0%
-
92.5%
]
92.31%
1312.5%