Korean Male Poverty

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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
Immigration
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Male Poverty
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Korean Male Poverty
Exceptional

9.9%
POVERTY | MALES
99.2/ 100
METRIC RATING
41st/ 347
METRIC RANK

Korean Male Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 510,064,453 people shows no correlation between the proportion of Koreans and poverty level among males in the United States with a correlation coefficient (R) of 0.042 and weighted average of 9.9%. On average, for every 1% (one percent) increase in Koreans within a typical geography, there is an increase of 0.0071% in poverty level among males.
Korean Male Poverty
It is essential to understand that the correlation between the percentage of Koreans and poverty level among males 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 males within an area, or if Koreans simply ended up residing in those areas with higher or lower levels of poverty level among males due to other factors.

Demographics Similar to Koreans by Male Poverty

In terms of male poverty, the demographic groups most similar to Koreans are Cypriot (9.9%, a difference of 0.10%), Russian (9.9%, a difference of 0.17%), Immigrants from Pakistan (9.9%, a difference of 0.18%), Immigrants from Iran (9.9%, a difference of 0.24%), and Immigrants from Moldova (9.9%, a difference of 0.50%).
DemographicsRating | RankMale Poverty
Immigrants from Poland
99.5
/100
|
#34
Exceptional
9.8%
Iranians
99.4
/100
|
#35
Exceptional
9.8%
Czechs
99.4
/100
|
#36
Exceptional
9.8%
Immigrants from Greece
99.3
/100
|
#37
Exceptional
9.8%
Immigrants from Pakistan
99.2
/100
|
#38
Exceptional
9.9%
Russians
99.2
/100
|
#39
Exceptional
9.9%
Cypriots
99.2
/100
|
#40
Exceptional
9.9%
Koreans
99.2
/100
|
#41
Exceptional
9.9%
Immigrants from Iran
99.1
/100
|
#42
Exceptional
9.9%
Immigrants from Moldova
99.0
/100
|
#43
Exceptional
9.9%
Immigrants from Romania
98.9
/100
|
#44
Exceptional
9.9%
Immigrants from Serbia
98.9
/100
|
#45
Exceptional
10.0%
Turks
98.9
/100
|
#46
Exceptional
10.0%
Immigrants from Singapore
98.8
/100
|
#47
Exceptional
10.0%
Immigrants from Japan
98.8
/100
|
#48
Exceptional
10.0%

Korean Male Poverty Correlation Summary

Measurement Korean Data Male Poverty Data
Minimum 0.26% 2.6%
Maximum 91.3% 18.6%
Range 91.1% 16.0%
Mean 30.6% 9.1%
Median 27.9% 8.5%
Interquartile 25% (IQ1) 13.9% 6.7%
Interquartile 75% (IQ3) 46.8% 10.9%
Interquartile Range (IQR) 32.9% 4.2%
Standard Deviation (Sample) 20.1% 3.4%
Standard Deviation (Population) 20.0% 3.4%

Correlation Details

Korean Percentile Sample Size Male Poverty
[
0.0%
-
0.5%
]
0.26%
181,961,120 13.4%
[
0.5%
-
1.0%
]
0.71%
128,626,519 11.7%
[
1.0%
-
1.5%
]
1.21%
69,377,933 11.0%
[
1.5%
-
2.0%
]
1.72%
27,230,264 9.6%
[
2.0%
-
2.5%
]
2.25%
21,262,271 9.7%
[
2.5%
-
3.0%
]
2.73%
14,019,507 9.7%
[
3.0%
-
3.5%
]
3.23%
9,933,880 9.1%
[
3.5%
-
4.0%
]
3.78%
11,622,246 11.3%
[
4.0%
-
4.5%
]
4.21%
6,689,810 9.5%
[
4.5%
-
5.0%
]
4.74%
4,875,336 8.4%
[
5.0%
-
5.5%
]
5.19%
5,267,988 9.8%
[
5.5%
-
6.0%
]
5.76%
4,749,675 8.5%
[
6.0%
-
6.5%
]
6.28%
3,699,177 9.3%
[
6.5%
-
7.0%
]
6.74%
3,927,095 9.1%
[
7.0%
-
7.5%
]
7.23%
1,664,077 7.8%
[
7.5%
-
8.0%
]
7.73%
1,037,200 8.3%
[
8.0%
-
8.5%
]
8.18%
2,075,996 9.4%
[
8.5%
-
9.0%
]
8.72%
1,395,804 8.2%
[
9.0%
-
9.5%
]
9.29%
1,263,885 10.8%
[
9.5%
-
10.0%
]
9.79%
721,456 8.5%
[
10.0%
-
10.5%
]
10.34%
504,418 10.9%
[
10.5%
-
11.0%
]
10.77%
451,970 8.2%
[
11.0%
-
11.5%
]
11.25%
620,951 8.0%
[
11.5%
-
12.0%
]
11.80%
553,796 9.7%
[
12.0%
-
12.5%
]
12.08%
193,138 9.6%
[
12.5%
-
13.0%
]
12.77%
335,342 7.5%
[
13.0%
-
13.5%
]
13.22%
182,903 6.5%
[
13.5%
-
14.0%
]
13.68%
438,566 8.4%
[
14.0%
-
14.5%
]
14.18%
569,963 7.1%
[
14.5%
-
15.0%
]
14.77%
121,416 9.9%
[
15.0%
-
15.5%
]
15.29%
372,222 8.4%
[
15.5%
-
16.0%
]
15.81%
195,578 6.8%
[
16.0%
-
16.5%
]
16.23%
122,806 8.2%
[
16.5%
-
17.0%
]
16.68%
77,340 12.3%
[
17.0%
-
17.5%
]
17.24%
253,510 8.2%
[
17.5%
-
18.0%
]
17.76%
147,425 7.2%
[
18.0%
-
18.5%
]
18.25%
39,755 11.3%
[
18.5%
-
19.0%
]
18.95%
58,816 5.0%
[
19.0%
-
19.5%
]
19.41%
11,630 7.8%
[
19.5%
-
20.0%
]
19.72%
546,156 10.3%
[
20.0%
-
20.5%
]
20.10%
142,971 9.3%
[
20.5%
-
21.0%
]
20.70%
54,997 3.3%
[
21.0%
-
21.5%
]
21.34%
179,148 8.5%
[
21.5%
-
22.0%
]
21.73%
181,847 9.2%
[
22.0%
-
22.5%
]
22.29%
171,335 12.9%
[
22.5%
-
23.0%
]
22.84%
245,194 7.4%
[
23.0%
-
23.5%
]
23.22%
147,682 8.9%
[
23.5%
-
24.0%
]
23.97%
5,023 16.8%
[
24.0%
-
24.5%
]
24.12%
8,433 14.5%
[
24.5%
-
25.0%
]
24.87%
105,082 11.0%
[
25.0%
-
25.5%
]
25.32%
69,337 4.3%
[
25.5%
-
26.0%
]
25.78%
57,639 9.6%
[
26.0%
-
26.5%
]
26.35%
28,564 11.0%
[
26.5%
-
27.0%
]
26.66%
16,701 4.7%
[
27.0%
-
27.5%
]
27.14%
56,287 4.8%
[
27.5%
-
28.0%
]
27.62%
45,724 7.8%
[
28.0%
-
28.5%
]
28.12%
79,696 8.1%
[
28.5%
-
29.0%
]
28.71%
55,183 3.9%
[
29.0%
-
29.5%
]
29.29%
17,819 4.5%
[
29.5%
-
30.0%
]
29.54%
61,044 5.1%
[
30.0%
-
30.5%
]
30.25%
64,561 6.3%
[
30.5%
-
31.0%
]
30.67%
46,802 7.6%
[
31.5%
-
32.0%
]
31.79%
115,123 7.8%
[
32.0%
-
32.5%
]
32.22%
149,182 7.3%
[
32.5%
-
33.0%
]
32.72%
162,383 8.2%
[
33.0%
-
33.5%
]
33.36%
7,363 18.6%
[
33.5%
-
34.0%
]
33.74%
4,721 5.7%
[
34.0%
-
34.5%
]
34.42%
459 13.7%
[
34.5%
-
35.0%
]
34.74%
2,896 10.1%
[
35.5%
-
36.0%
]
35.84%
24,950 5.6%
[
36.0%
-
36.5%
]
36.46%
1,629 8.5%
[
36.5%
-
37.0%
]
36.63%
24,982 6.6%
[
37.5%
-
38.0%
]
37.77%
26,169 5.4%
[
38.0%
-
38.5%
]
38.49%
12,906 11.2%
[
38.5%
-
39.0%
]
38.53%
6,419 12.6%
[
39.0%
-
39.5%
]
39.49%
1,023 9.9%
[
39.5%
-
40.0%
]
39.96%
548 11.7%
[
40.0%
-
40.5%
]
40.17%
1,917 11.2%
[
41.0%
-
41.5%
]
41.37%
17,400 14.7%
[
42.0%
-
42.5%
]
42.22%
5,393 2.6%
[
42.5%
-
43.0%
]
42.74%
3,053 17.8%
[
43.5%
-
44.0%
]
43.57%
3,576 7.7%
[
45.5%
-
46.0%
]
45.67%
7,728 9.0%
[
46.5%
-
47.0%
]
46.69%
59,008 11.6%
[
47.0%
-
47.5%
]
47.01%
1,372 16.9%
[
47.5%
-
48.0%
]
47.85%
82,955 5.9%
[
48.0%
-
48.5%
]
48.05%
17,604 5.0%
[
48.5%
-
49.0%
]
48.64%
294 14.6%
[
49.0%
-
49.5%
]
49.39%
2,290 9.6%
[
50.0%
-
50.5%
]
50.27%
2,242 5.4%
[
50.5%
-
51.0%
]
50.78%
27,198 3.4%
[
51.0%
-
51.5%
]
51.01%
30,256 8.2%
[
51.5%
-
52.0%
]
51.88%
6,469 5.7%
[
52.0%
-
52.5%
]
52.44%
25,902 5.9%
[
53.5%
-
54.0%
]
53.63%
17,137 4.6%
[
54.0%
-
54.5%
]
54.42%
5,026 9.4%
[
54.5%
-
55.0%
]
54.63%
3,174 5.3%
[
55.5%
-
56.0%
]
55.61%
838 11.8%
[
56.0%
-
56.5%
]
56.07%
72,605 7.5%
[
57.0%
-
57.5%
]
57.43%
3,961 5.9%
[
57.5%
-
58.0%
]
57.93%
618 16.5%
[
58.0%
-
58.5%
]
58.31%
890 11.5%
[
58.5%
-
59.0%
]
58.86%
3,262 9.3%
[
59.5%
-
60.0%
]
59.90%
2,299 4.6%
[
61.0%
-
61.5%
]
61.06%
2,255 4.7%
[
61.5%
-
62.0%
]
61.89%
19,795 6.4%
[
62.0%
-
62.5%
]
62.24%
3,909 9.4%
[
65.5%
-
66.0%
]
65.90%
39,873 10.3%
[
71.5%
-
72.0%
]
71.88%
6,550 16.5%
[
73.0%
-
73.5%
]
73.27%
1,949 16.8%
[
75.0%
-
75.5%
]
75.28%
1,897 16.6%
[
91.0%
-
91.5%
]
91.32%
2,996 6.5%