Chinese Single Male Poverty

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AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta 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 Male Poverty
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Chinese Single Male Poverty
Exceptional

11.0%
POVERTY | SINGLE MALES
100.0/ 100
METRIC RATING
14th/ 347
METRIC RANK

Chinese Single Male Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 62,746,830 people shows a mild positive correlation between the proportion of Chinese and poverty level among single males in the United States with a correlation coefficient (R) of 0.376 and weighted average of 11.0%. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 3.1% in poverty level among single males.
Chinese Single Male Poverty
It is essential to understand that the correlation between the percentage of Chinese and poverty level among single males does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Chinese influences an upward or downward trend in the level of poverty level among single males within an area, or if Chinese simply ended up residing in those areas with higher or lower levels of poverty level among single males due to other factors.

Demographics Similar to Chinese by Single Male Poverty

In terms of single male poverty, the demographic groups most similar to Chinese are Korean (11.0%, a difference of 0.050%), Immigrants from South Central Asia (10.9%, a difference of 0.57%), Immigrants from Afghanistan (10.9%, a difference of 0.69%), Immigrants from Philippines (10.9%, a difference of 0.76%), and Immigrants from Fiji (10.9%, a difference of 0.78%).
DemographicsRating | RankSingle Male Poverty
Afghans
100.0
/100
|
#7
Exceptional
10.7%
Thais
100.0
/100
|
#8
Exceptional
10.8%
Taiwanese
100.0
/100
|
#9
Exceptional
10.9%
Immigrants from Fiji
100.0
/100
|
#10
Exceptional
10.9%
Immigrants from Philippines
100.0
/100
|
#11
Exceptional
10.9%
Immigrants from Afghanistan
100.0
/100
|
#12
Exceptional
10.9%
Immigrants from South Central Asia
100.0
/100
|
#13
Exceptional
10.9%
Chinese
100.0
/100
|
#14
Exceptional
11.0%
Koreans
100.0
/100
|
#15
Exceptional
11.0%
Bhutanese
100.0
/100
|
#16
Exceptional
11.1%
Tsimshian
100.0
/100
|
#17
Exceptional
11.1%
Immigrants from Bolivia
100.0
/100
|
#18
Exceptional
11.1%
Immigrants from Moldova
100.0
/100
|
#19
Exceptional
11.2%
Ethiopians
100.0
/100
|
#20
Exceptional
11.2%
Asians
100.0
/100
|
#21
Exceptional
11.2%

Chinese Single Male Poverty Correlation Summary

MeasurementChinese DataSingle Male Poverty Data
Minimum0.0086%1.5%
Maximum6.0%57.9%
Range6.0%56.4%
Mean1.2%11.9%
Median0.89%11.1%
Interquartile 25% (IQ1)0.43%5.7%
Interquartile 75% (IQ3)1.6%13.8%
Interquartile Range (IQR)1.1%8.1%
Standard Deviation (Sample)1.1%9.3%
Standard Deviation (Population)1.1%9.2%

Correlation Details

Chinese PercentileSample SizeSingle Male Poverty
[
0.0%
-
0.5%
]
0.0086%
52,568,31912.5%
[
0.0%
-
0.5%
]
0.059%
4,468,67211.1%
[
0.0%
-
0.5%
]
0.10%
1,398,47810.5%
[
0.0%
-
0.5%
]
0.14%
905,39013.5%
[
0.0%
-
0.5%
]
0.19%
427,86918.4%
[
0.0%
-
0.5%
]
0.22%
231,57215.7%
[
0.0%
-
0.5%
]
0.27%
164,77411.7%
[
0.0%
-
0.5%
]
0.31%
217,03311.5%
[
0.0%
-
0.5%
]
0.35%
167,83212.9%
[
0.0%
-
0.5%
]
0.39%
83,67814.9%
[
0.0%
-
0.5%
]
0.43%
122,83010.0%
[
0.0%
-
0.5%
]
0.47%
53,60717.8%
[
0.5%
-
1.0%
]
0.52%
115,50219.8%
[
0.5%
-
1.0%
]
0.56%
54,43526.7%
[
0.5%
-
1.0%
]
0.60%
226,3404.0%
[
0.5%
-
1.0%
]
0.66%
30,7807.5%
[
0.5%
-
1.0%
]
0.70%
107,98410.5%
[
0.5%
-
1.0%
]
0.72%
69,61512.7%
[
0.5%
-
1.0%
]
0.78%
422,06310.0%
[
0.5%
-
1.0%
]
0.82%
23,84613.4%
[
0.5%
-
1.0%
]
0.83%
143,6516.7%
[
0.5%
-
1.0%
]
0.89%
77,35210.3%
[
0.5%
-
1.0%
]
0.98%
40,3231.5%
[
1.0%
-
1.5%
]
1.00%
54,18213.8%
[
1.0%
-
1.5%
]
1.07%
18720.0%
[
1.0%
-
1.5%
]
1.09%
37,13422.8%
[
1.0%
-
1.5%
]
1.18%
24,7652.9%
[
1.0%
-
1.5%
]
1.21%
77,4159.2%
[
1.0%
-
1.5%
]
1.27%
54,3622.9%
[
1.0%
-
1.5%
]
1.33%
25,9571.6%
[
1.0%
-
1.5%
]
1.37%
11,1384.2%
[
1.0%
-
1.5%
]
1.45%
45,03812.4%
[
1.5%
-
2.0%
]
1.57%
27,4231.9%
[
1.5%
-
2.0%
]
1.63%
38,6745.5%
[
1.5%
-
2.0%
]
1.67%
48,4945.3%
[
1.5%
-
2.0%
]
1.70%
18,8024.9%
[
1.5%
-
2.0%
]
1.77%
35,4937.5%
[
1.5%
-
2.0%
]
1.84%
41,5605.7%
[
1.5%
-
2.0%
]
1.87%
10,11018.3%
[
2.0%
-
2.5%
]
2.14%
55,88813.4%
[
3.0%
-
3.5%
]
3.39%
3,62711.6%
[
4.0%
-
4.5%
]
4.14%
9,5716.2%
[
5.5%
-
6.0%
]
5.98%
5,06557.9%