Korean Single 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)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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Single Female Poverty
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Korean Single Female Poverty
Exceptional

18.6%
POVERTY | SINGLE FEMALES
99.9/ 100
METRIC RATING
34th/ 347
METRIC RANK

Korean Single Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 499,036,365 people shows a weak positive correlation between the proportion of Koreans and poverty level among single females in the United States with a correlation coefficient (R) of 0.240 and weighted average of 18.6%. On average, for every 1% (one percent) increase in Koreans within a typical geography, there is an increase of 0.12% in poverty level among single females.
Korean Single Female Poverty
It is essential to understand that the correlation between the percentage of Koreans and poverty level among single 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 single females within an area, or if Koreans 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 Koreans by Single Female Poverty

In terms of single female poverty, the demographic groups most similar to Koreans are Immigrants from Japan (18.6%, a difference of 0.060%), Immigrants from Philippines (18.6%, a difference of 0.18%), Turkish (18.7%, a difference of 0.24%), Immigrants from Sri Lanka (18.6%, a difference of 0.25%), and Immigrants from Armenia (18.7%, a difference of 0.26%).
DemographicsRating | RankSingle Female Poverty
Immigrants from Pakistan
100.0
/100
|
#27
Exceptional
18.4%
Immigrants from Moldova
100.0
/100
|
#28
Exceptional
18.5%
Immigrants from Poland
100.0
/100
|
#29
Exceptional
18.5%
Immigrants from North Macedonia
99.9
/100
|
#30
Exceptional
18.5%
Immigrants from Asia
99.9
/100
|
#31
Exceptional
18.6%
Immigrants from Sri Lanka
99.9
/100
|
#32
Exceptional
18.6%
Immigrants from Philippines
99.9
/100
|
#33
Exceptional
18.6%
Koreans
99.9
/100
|
#34
Exceptional
18.6%
Immigrants from Japan
99.9
/100
|
#35
Exceptional
18.6%
Turks
99.9
/100
|
#36
Exceptional
18.7%
Immigrants from Armenia
99.9
/100
|
#37
Exceptional
18.7%
Tongans
99.9
/100
|
#38
Exceptional
18.8%
Bulgarians
99.9
/100
|
#39
Exceptional
18.8%
Okinawans
99.9
/100
|
#40
Exceptional
18.8%
Immigrants from Serbia
99.9
/100
|
#41
Exceptional
18.8%

Korean Single Female Poverty Correlation Summary

Measurement Korean Data Single Female Poverty Data
Minimum 0.26% 1.8%
Maximum 75.3% 56.2%
Range 75.0% 54.5%
Mean 28.7% 17.8%
Median 25.8% 16.1%
Interquartile 25% (IQ1) 12.8% 12.4%
Interquartile 75% (IQ3) 42.7% 20.2%
Interquartile Range (IQR) 30.0% 7.8%
Standard Deviation (Sample) 19.3% 9.3%
Standard Deviation (Population) 19.2% 9.3%

Correlation Details

Korean Percentile Sample Size Single Female Poverty
[
0.0%
-
0.5%
]
0.26%
178,018,151 25.3%
[
0.5%
-
1.0%
]
0.71%
126,119,880 22.1%
[
1.0%
-
1.5%
]
1.21%
67,855,749 20.7%
[
1.5%
-
2.0%
]
1.72%
26,266,317 19.3%
[
2.0%
-
2.5%
]
2.25%
20,787,645 19.0%
[
2.5%
-
3.0%
]
2.73%
13,600,370 18.0%
[
3.0%
-
3.5%
]
3.23%
9,685,215 18.0%
[
3.5%
-
4.0%
]
3.78%
11,461,228 20.2%
[
4.0%
-
4.5%
]
4.21%
6,578,355 17.9%
[
4.5%
-
5.0%
]
4.74%
4,762,547 15.4%
[
5.0%
-
5.5%
]
5.19%
5,207,754 17.6%
[
5.5%
-
6.0%
]
5.76%
4,677,449 17.5%
[
6.0%
-
6.5%
]
6.28%
3,608,391 16.0%
[
6.5%
-
7.0%
]
6.74%
3,905,624 17.7%
[
7.0%
-
7.5%
]
7.23%
1,632,368 13.8%
[
7.5%
-
8.0%
]
7.73%
1,006,526 16.1%
[
8.0%
-
8.5%
]
8.18%
2,037,266 18.1%
[
8.5%
-
9.0%
]
8.72%
1,383,755 16.4%
[
9.0%
-
9.5%
]
9.29%
1,258,906 18.9%
[
9.5%
-
10.0%
]
9.79%
713,363 15.3%
[
10.0%
-
10.5%
]
10.34%
498,960 22.1%
[
10.5%
-
11.0%
]
10.77%
446,881 16.5%
[
11.0%
-
11.5%
]
11.25%
618,020 12.4%
[
11.5%
-
12.0%
]
11.80%
553,537 18.4%
[
12.0%
-
12.5%
]
12.08%
190,367 14.6%
[
12.5%
-
13.0%
]
12.77%
333,627 15.0%
[
13.0%
-
13.5%
]
13.20%
157,656 14.3%
[
13.5%
-
14.0%
]
13.68%
433,603 14.0%
[
14.0%
-
14.5%
]
14.18%
562,326 16.1%
[
14.5%
-
15.0%
]
14.78%
114,068 15.2%
[
15.0%
-
15.5%
]
15.29%
369,944 13.7%
[
15.5%
-
16.0%
]
15.81%
187,786 11.8%
[
16.0%
-
16.5%
]
16.31%
73,579 13.5%
[
16.5%
-
17.0%
]
16.69%
77,213 17.1%
[
17.0%
-
17.5%
]
17.24%
244,851 13.8%
[
17.5%
-
18.0%
]
17.76%
147,329 17.9%
[
18.0%
-
18.5%
]
18.26%
36,212 27.1%
[
18.5%
-
19.0%
]
18.95%
58,599 22.8%
[
19.0%
-
19.5%
]
19.41%
11,393 20.4%
[
19.5%
-
20.0%
]
19.72%
546,156 15.5%
[
20.0%
-
20.5%
]
20.09%
140,272 16.9%
[
20.5%
-
21.0%
]
20.70%
54,603 5.3%
[
21.0%
-
21.5%
]
21.34%
179,148 20.9%
[
21.5%
-
22.0%
]
21.73%
180,711 17.3%
[
22.0%
-
22.5%
]
22.29%
170,697 24.1%
[
22.5%
-
23.0%
]
22.84%
242,983 13.2%
[
23.0%
-
23.5%
]
23.22%
147,682 14.6%
[
23.5%
-
24.0%
]
23.97%
5,023 35.4%
[
24.0%
-
24.5%
]
24.11%
7,930 14.8%
[
24.5%
-
25.0%
]
24.87%
105,082 16.3%
[
25.0%
-
25.5%
]
25.32%
69,337 9.4%
[
25.5%
-
26.0%
]
25.78%
57,639 30.2%
[
26.0%
-
26.5%
]
26.35%
28,564 27.7%
[
26.5%
-
27.0%
]
26.66%
15,779 7.6%
[
27.0%
-
27.5%
]
27.14%
56,225 8.0%
[
27.5%
-
28.0%
]
27.62%
45,724 14.1%
[
28.0%
-
28.5%
]
28.12%
77,508 16.3%
[
28.5%
-
29.0%
]
28.71%
55,058 3.8%
[
29.0%
-
29.5%
]
29.30%
18,216 12.5%
[
29.5%
-
30.0%
]
29.54%
61,044 9.3%
[
30.0%
-
30.5%
]
30.25%
64,561 11.8%
[
30.5%
-
31.0%
]
30.67%
45,388 12.5%
[
31.5%
-
32.0%
]
31.79%
114,748 13.6%
[
32.0%
-
32.5%
]
32.22%
148,162 12.4%
[
32.5%
-
33.0%
]
32.72%
162,383 10.5%
[
33.0%
-
33.5%
]
33.36%
7,363 24.0%
[
33.5%
-
34.0%
]
33.74%
4,721 10.0%
[
34.5%
-
35.0%
]
34.74%
2,896 28.4%
[
35.5%
-
36.0%
]
35.84%
24,950 19.1%
[
36.0%
-
36.5%
]
36.46%
1,629 10.7%
[
36.5%
-
37.0%
]
36.63%
24,982 17.4%
[
37.5%
-
38.0%
]
37.76%
21,461 11.2%
[
38.0%
-
38.5%
]
38.49%
12,906 19.5%
[
38.5%
-
39.0%
]
38.53%
6,419 5.8%
[
39.5%
-
40.0%
]
39.96%
548 11.5%
[
41.0%
-
41.5%
]
41.37%
17,400 43.9%
[
42.0%
-
42.5%
]
42.22%
5,393 1.8%
[
42.5%
-
43.0%
]
42.74%
3,053 7.8%
[
43.5%
-
44.0%
]
43.57%
3,576 19.2%
[
45.5%
-
46.0%
]
45.69%
4,342 13.9%
[
46.5%
-
47.0%
]
46.69%
59,008 21.6%
[
47.0%
-
47.5%
]
47.01%
1,372 33.9%
[
47.5%
-
48.0%
]
47.85%
82,504 12.0%
[
48.0%
-
48.5%
]
48.05%
17,604 13.8%
[
49.0%
-
49.5%
]
49.39%
2,290 12.1%
[
50.5%
-
51.0%
]
50.78%
27,198 8.3%
[
51.0%
-
51.5%
]
51.00%
27,972 11.5%
[
52.0%
-
52.5%
]
52.44%
25,902 10.8%
[
53.5%
-
54.0%
]
53.63%
17,137 4.0%
[
54.0%
-
54.5%
]
54.42%
5,026 22.7%
[
54.5%
-
55.0%
]
54.63%
3,174 11.6%
[
56.0%
-
56.5%
]
56.07%
72,605 14.6%
[
57.0%
-
57.5%
]
57.43%
3,961 21.2%
[
58.0%
-
58.5%
]
58.31%
890 34.2%
[
58.5%
-
59.0%
]
58.91%
1,290 8.3%
[
59.5%
-
60.0%
]
59.90%
2,299 38.9%
[
61.0%
-
61.5%
]
61.06%
2,255 38.9%
[
61.5%
-
62.0%
]
61.91%
4,628 12.0%
[
62.0%
-
62.5%
]
62.24%
3,909 15.4%
[
65.5%
-
66.0%
]
65.90%
39,873 18.8%
[
71.5%
-
72.0%
]
71.88%
6,550 33.1%
[
73.0%
-
73.5%
]
73.27%
1,949 56.2%
[
75.0%
-
75.5%
]
75.28%
1,897 56.2%