Japanese Female Poverty

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Ancestry
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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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Japanese Female Poverty
Tragic

14.5%
POVERTY | FEMALES
4.1/ 100
METRIC RATING
219th/ 347
METRIC RANK

Japanese Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 249,060,032 people shows a significant positive correlation between the proportion of Japanese and poverty level among females in the United States with a correlation coefficient (R) of 0.648 and weighted average of 14.5%. On average, for every 1% (one percent) increase in Japanese within a typical geography, there is an increase of 0.98% in poverty level among females.
Japanese Female Poverty
It is essential to understand that the correlation between the percentage of Japanese and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Japanese influences an upward or downward trend in the level of poverty level among females within an area, or if Japanese simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.

Demographics Similar to Japanese by Female Poverty

In terms of female poverty, the demographic groups most similar to Japanese are Alsatian (14.5%, a difference of 0.050%), Immigrants from Uzbekistan (14.4%, a difference of 0.14%), Immigrants (14.4%, a difference of 0.19%), Immigrants from Thailand (14.4%, a difference of 0.22%), and Immigrants from Cambodia (14.5%, a difference of 0.24%).
DemographicsRating | RankFemale Poverty
Bermudans
5.5
/100
|
#212
Tragic
14.4%
Alaskan Athabascans
5.3
/100
|
#213
Tragic
14.4%
Marshallese
5.0
/100
|
#214
Tragic
14.4%
Immigrants from Panama
4.7
/100
|
#215
Tragic
14.4%
Immigrants from Thailand
4.5
/100
|
#216
Tragic
14.4%
Immigrants
4.5
/100
|
#217
Tragic
14.4%
Immigrants from Uzbekistan
4.4
/100
|
#218
Tragic
14.4%
Japanese
4.1
/100
|
#219
Tragic
14.5%
Alsatians
4.0
/100
|
#220
Tragic
14.5%
Immigrants from Cambodia
3.7
/100
|
#221
Tragic
14.5%
Nonimmigrants
3.7
/100
|
#222
Tragic
14.5%
Immigrants from Africa
3.3
/100
|
#223
Tragic
14.5%
Americans
2.8
/100
|
#224
Tragic
14.6%
Immigrants from Micronesia
2.8
/100
|
#225
Tragic
14.6%
Immigrants from Eritrea
2.4
/100
|
#226
Tragic
14.6%

Japanese Female Poverty Correlation Summary

Measurement Japanese Data Female Poverty Data
Minimum 0.089% 4.1%
Maximum 55.6% 100.0%
Range 55.5% 95.9%
Mean 10.2% 21.0%
Median 6.8% 16.0%
Interquartile 25% (IQ1) 3.1% 14.2%
Interquartile 75% (IQ3) 14.1% 22.7%
Interquartile Range (IQR) 10.9% 8.6%
Standard Deviation (Sample) 11.1% 16.8%
Standard Deviation (Population) 11.0% 16.7%

Correlation Details

Japanese Percentile Sample Size Female Poverty
[
0.0%
-
0.5%
]
0.089%
191,147,699 14.4%
[
0.0%
-
0.5%
]
0.39%
32,050,221 12.5%
[
0.5%
-
1.0%
]
0.68%
11,041,232 14.2%
[
0.5%
-
1.0%
]
0.95%
5,584,043 12.2%
[
1.0%
-
1.5%
]
1.23%
2,870,402 14.2%
[
1.5%
-
2.0%
]
1.51%
1,547,927 13.5%
[
1.5%
-
2.0%
]
1.77%
1,268,098 15.1%
[
2.0%
-
2.5%
]
2.09%
537,392 16.5%
[
2.0%
-
2.5%
]
2.37%
401,596 17.1%
[
2.5%
-
3.0%
]
2.64%
83,848 13.1%
[
2.5%
-
3.0%
]
2.93%
184,192 15.0%
[
3.0%
-
3.5%
]
3.15%
208,256 9.8%
[
3.0%
-
3.5%
]
3.43%
147,545 17.5%
[
3.5%
-
4.0%
]
3.81%
638,209 16.0%
[
4.0%
-
4.5%
]
4.08%
58,700 15.2%
[
4.0%
-
4.5%
]
4.30%
473,882 17.2%
[
4.5%
-
5.0%
]
4.57%
68,008 14.5%
[
4.5%
-
5.0%
]
4.72%
72,046 31.4%
[
5.0%
-
5.5%
]
5.21%
41,240 23.0%
[
5.0%
-
5.5%
]
5.34%
5,600 15.1%
[
5.5%
-
6.0%
]
5.64%
104,251 18.7%
[
5.5%
-
6.0%
]
5.96%
70,818 16.8%
[
6.5%
-
7.0%
]
6.54%
65,608 17.4%
[
6.5%
-
7.0%
]
6.83%
278 20.0%
[
6.5%
-
7.0%
]
6.99%
41,001 14.6%
[
7.0%
-
7.5%
]
7.29%
645 27.5%
[
7.5%
-
8.0%
]
7.63%
59,153 27.4%
[
8.0%
-
8.5%
]
8.23%
4,145 4.3%
[
8.5%
-
9.0%
]
8.84%
12,324 13.7%
[
8.5%
-
9.0%
]
8.91%
11,678 12.1%
[
9.0%
-
9.5%
]
9.38%
2,911 4.1%
[
9.5%
-
10.0%
]
9.81%
59,460 22.7%
[
10.5%
-
11.0%
]
10.92%
27,848 5.6%
[
12.0%
-
12.5%
]
12.25%
2,588 45.9%
[
13.5%
-
14.0%
]
13.86%
114,737 17.7%
[
14.0%
-
14.5%
]
14.08%
987 18.6%
[
14.5%
-
15.0%
]
14.72%
2,215 29.3%
[
15.0%
-
15.5%
]
15.03%
326 75.5%
[
16.0%
-
16.5%
]
16.30%
411 6.2%
[
16.0%
-
16.5%
]
16.47%
868 17.5%
[
17.0%
-
17.5%
]
17.03%
7,118 15.2%
[
20.5%
-
21.0%
]
20.70%
1,575 30.8%
[
22.0%
-
22.5%
]
22.12%
5,478 14.4%
[
23.0%
-
23.5%
]
23.24%
921 33.5%
[
30.5%
-
31.0%
]
30.73%
32,323 15.3%
[
46.5%
-
47.0%
]
46.82%
220 43.8%
[
55.5%
-
56.0%
]
55.56%
9 100.0%