Korean Female Poverty

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Korean
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 RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Korean Female Poverty
Excellent

11.7%
POVERTY | FEMALES
89.2/ 100
METRIC RATING
27th/ 347
METRIC RANK

Korean Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 457,988,053 people shows no correlation between the proportion of Koreans and poverty level among females in the United States with a correlation coefficient (R) of -0.046 and weighted average of 11.7%. On average, for every 1% (one percent) increase in Koreans within a typical geography, there is a decrease of 0.022% in poverty level among females.
Korean Female Poverty
It is essential to understand that the correlation between the percentage of Koreans and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Koreans influences an upward or downward trend in the level of poverty level among females within an area, or if Koreans simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.

Demographics Similar to Koreans by Female Poverty

In terms of female poverty, the demographic groups most similar to Koreans are Immigrants from Northern Europe (11.7%, a difference of 0.21%), Immigrants from Italy (11.7%, a difference of 0.25%), Immigrants from North Macedonia (11.7%, a difference of 0.27%), Immigrants from Greece (11.7%, a difference of 0.32%), and Immigrants from Poland (11.7%, a difference of 0.35%).
DemographicsRating | RankFemale Poverty
Norwegians
90.3
/100
|
#20
Exceptional
11.5%
Immigrants from Sweden
90.1
/100
|
#21
Exceptional
11.5%
Cypriots
90.0
/100
|
#22
Excellent
11.5%
Iranians
89.8
/100
|
#23
Excellent
11.6%
Latvians
89.6
/100
|
#24
Excellent
11.6%
Italians
89.6
/100
|
#25
Excellent
11.6%
Swedes
89.5
/100
|
#26
Excellent
11.6%
Koreans
89.2
/100
|
#27
Excellent
11.7%
Immigrants from Northern Europe
89.1
/100
|
#28
Excellent
11.7%
Immigrants from Italy
89.0
/100
|
#29
Excellent
11.7%
Immigrants from North Macedonia
89.0
/100
|
#30
Excellent
11.7%
Immigrants from Greece
89.0
/100
|
#31
Excellent
11.7%
Immigrants from Poland
88.9
/100
|
#32
Excellent
11.7%
Pakistanis
88.8
/100
|
#33
Excellent
11.7%
Croatians
88.8
/100
|
#34
Excellent
11.7%

Korean Female Poverty Correlation Summary

MeasurementKorean DataFemale Poverty Data
Minimum0.18%2.6%
Maximum50.4%29.0%
Range50.2%26.4%
Mean13.7%10.0%
Median12.2%9.7%
Interquartile 25% (IQ1)5.9%6.8%
Interquartile 75% (IQ3)20.5%11.7%
Interquartile Range (IQR)14.6%4.9%
Standard Deviation (Sample)10.2%4.9%
Standard Deviation (Population)10.1%4.8%

Correlation Details

Korean PercentileSample SizeFemale Poverty
[
0.0%
-
0.5%
]
0.18%
232,243,05215.5%
[
0.5%
-
1.0%
]
0.56%
100,649,33313.3%
[
0.5%
-
1.0%
]
0.98%
49,316,97711.9%
[
1.0%
-
1.5%
]
1.37%
23,361,33610.8%
[
1.5%
-
2.0%
]
1.76%
14,728,37810.1%
[
2.0%
-
2.5%
]
2.14%
9,056,6249.8%
[
2.5%
-
3.0%
]
2.55%
5,356,60710.0%
[
2.5%
-
3.0%
]
2.93%
7,452,31213.7%
[
3.0%
-
3.5%
]
3.33%
3,047,7009.4%
[
3.5%
-
4.0%
]
3.74%
1,874,0629.3%
[
4.0%
-
4.5%
]
4.12%
1,697,20411.5%
[
4.5%
-
5.0%
]
4.52%
1,158,65210.9%
[
4.5%
-
5.0%
]
4.91%
880,7547.2%
[
5.0%
-
5.5%
]
5.28%
839,9997.6%
[
5.5%
-
6.0%
]
5.69%
634,0288.6%
[
6.0%
-
6.5%
]
6.11%
491,9589.1%
[
6.0%
-
6.5%
]
6.49%
312,2599.8%
[
6.5%
-
7.0%
]
6.82%
687,1679.9%
[
7.0%
-
7.5%
]
7.24%
234,58711.6%
[
7.5%
-
8.0%
]
7.69%
225,6087.5%
[
8.0%
-
8.5%
]
8.03%
613,12510.8%
[
8.0%
-
8.5%
]
8.50%
14,6206.6%
[
8.5%
-
9.0%
]
8.81%
233,6539.7%
[
9.0%
-
9.5%
]
9.29%
347,6219.0%
[
9.5%
-
10.0%
]
9.67%
170,2186.3%
[
10.0%
-
10.5%
]
10.16%
214,2186.7%
[
10.0%
-
10.5%
]
10.49%
279,2137.0%
[
10.5%
-
11.0%
]
10.78%
115,79016.8%
[
11.0%
-
11.5%
]
11.25%
85,57915.9%
[
11.0%
-
11.5%
]
11.49%
123,8216.1%
[
12.0%
-
12.5%
]
12.16%
184,02110.7%
[
12.5%
-
13.0%
]
12.56%
146,99413.6%
[
12.5%
-
13.0%
]
12.63%
83,97410.3%
[
13.0%
-
13.5%
]
13.30%
100,5866.2%
[
13.5%
-
14.0%
]
13.58%
24,19716.8%
[
14.0%
-
14.5%
]
14.02%
139,61220.2%
[
14.0%
-
14.5%
]
14.40%
140,4308.8%
[
14.5%
-
15.0%
]
14.86%
132,6607.8%
[
15.0%
-
15.5%
]
15.33%
24,4333.9%
[
15.5%
-
16.0%
]
15.58%
26,8316.7%
[
16.0%
-
16.5%
]
16.07%
41,9634.5%
[
16.0%
-
16.5%
]
16.18%
10,9003.0%
[
17.0%
-
17.5%
]
17.02%
4714.3%
[
18.0%
-
18.5%
]
18.35%
22,88014.6%
[
19.0%
-
19.5%
]
19.09%
1106.9%
[
20.0%
-
20.5%
]
20.34%
1,46021.7%
[
20.5%
-
21.0%
]
20.73%
42,01111.7%
[
20.5%
-
21.0%
]
20.97%
30,6144.0%
[
21.5%
-
22.0%
]
21.91%
33,8629.0%
[
22.5%
-
23.0%
]
22.84%
79,40210.8%
[
23.0%
-
23.5%
]
23.38%
70,33410.2%
[
23.5%
-
24.0%
]
23.73%
2,6726.9%
[
24.0%
-
24.5%
]
24.42%
4,7624.4%
[
25.0%
-
25.5%
]
25.05%
34,2863.7%
[
25.0%
-
25.5%
]
25.24%
36,91029.0%
[
26.0%
-
26.5%
]
26.15%
18,1923.5%
[
26.5%
-
27.0%
]
26.75%
38,12419.2%
[
28.5%
-
29.0%
]
28.53%
18,5664.2%
[
29.0%
-
29.5%
]
29.35%
5,8702.6%
[
44.0%
-
44.5%
]
44.05%
4,3139.6%
[
50.0%
-
50.5%
]
50.38%
40,58211.7%