Indian (Asian) Female Poverty

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Indian (Asian)
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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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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Female Poverty
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Indian (Asian) Female Poverty
Exceptional

12.2%
POVERTY | FEMALES
97.9/ 100
METRIC RATING
65th/ 347
METRIC RANK

Indian (Asian) Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 494,574,283 people shows no correlation between the proportion of Indians (Asian) and poverty level among females in the United States with a correlation coefficient (R) of 0.030 and weighted average of 12.2%. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.0083% in poverty level among females.
Indian (Asian) Female Poverty
It is essential to understand that the correlation between the percentage of Indians (Asian) and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Indians (Asian) influences an upward or downward trend in the level of poverty level among females within an area, or if Indians (Asian) simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.

Demographics Similar to Indians (Asian) by Female Poverty

In terms of female poverty, the demographic groups most similar to Indians (Asian) are Austrian (12.2%, a difference of 0.010%), German (12.2%, a difference of 0.030%), Ukrainian (12.2%, a difference of 0.060%), Immigrants from Italy (12.2%, a difference of 0.14%), and Immigrants from Eastern Asia (12.2%, a difference of 0.14%).
DemographicsRating | RankFemale Poverty
Scandinavians
98.2
/100
|
#58
Exceptional
12.1%
Immigrants from Europe
98.2
/100
|
#59
Exceptional
12.1%
Immigrants from Australia
98.1
/100
|
#60
Exceptional
12.2%
Immigrants from Asia
98.1
/100
|
#61
Exceptional
12.2%
Immigrants from Italy
98.0
/100
|
#62
Exceptional
12.2%
Ukrainians
98.0
/100
|
#63
Exceptional
12.2%
Germans
98.0
/100
|
#64
Exceptional
12.2%
Indians (Asian)
97.9
/100
|
#65
Exceptional
12.2%
Austrians
97.9
/100
|
#66
Exceptional
12.2%
Immigrants from Eastern Asia
97.8
/100
|
#67
Exceptional
12.2%
Immigrants from Netherlands
97.8
/100
|
#68
Exceptional
12.2%
Swiss
97.7
/100
|
#69
Exceptional
12.2%
Immigrants from Belgium
97.7
/100
|
#70
Exceptional
12.2%
Carpatho Rusyns
97.6
/100
|
#71
Exceptional
12.2%
Cambodians
97.5
/100
|
#72
Exceptional
12.2%

Indian (Asian) Female Poverty Correlation Summary

MeasurementIndian (Asian) DataFemale Poverty Data
Minimum0.19%2.4%
Maximum58.7%21.9%
Range58.5%19.5%
Mean22.8%11.0%
Median21.3%10.7%
Interquartile 25% (IQ1)10.6%8.7%
Interquartile 75% (IQ3)34.0%12.6%
Interquartile Range (IQR)23.4%3.9%
Standard Deviation (Sample)14.5%3.9%
Standard Deviation (Population)14.4%3.9%

Correlation Details

Indian (Asian) PercentileSample SizeFemale Poverty
[
0.0%
-
0.5%
]
0.19%
140,492,70616.5%
[
0.5%
-
1.0%
]
0.57%
108,155,39814.3%
[
0.5%
-
1.0%
]
0.95%
62,680,37413.1%
[
1.0%
-
1.5%
]
1.34%
36,199,41312.2%
[
1.5%
-
2.0%
]
1.72%
25,878,78911.8%
[
2.0%
-
2.5%
]
2.11%
17,515,24411.3%
[
2.5%
-
3.0%
]
2.51%
18,082,06613.6%
[
2.5%
-
3.0%
]
2.91%
11,421,47912.6%
[
3.0%
-
3.5%
]
3.29%
6,923,99111.1%
[
3.5%
-
4.0%
]
3.67%
5,973,9469.9%
[
4.0%
-
4.5%
]
4.08%
5,822,84512.0%
[
4.0%
-
4.5%
]
4.48%
3,398,9849.9%
[
4.5%
-
5.0%
]
4.83%
3,305,40010.3%
[
5.0%
-
5.5%
]
5.22%
4,106,86313.3%
[
5.5%
-
6.0%
]
5.64%
2,343,8909.0%
[
5.5%
-
6.0%
]
6.00%
2,211,47510.3%
[
6.0%
-
6.5%
]
6.42%
1,651,46111.1%
[
6.5%
-
7.0%
]
6.77%
1,853,79512.0%
[
7.0%
-
7.5%
]
7.25%
10,875,98317.2%
[
7.5%
-
8.0%
]
7.61%
1,063,88211.4%
[
7.5%
-
8.0%
]
7.95%
1,282,94810.9%
[
8.0%
-
8.5%
]
8.35%
1,289,11312.4%
[
8.5%
-
9.0%
]
8.71%
1,899,02111.5%
[
9.0%
-
9.5%
]
9.15%
717,0669.6%
[
9.5%
-
10.0%
]
9.51%
775,49210.2%
[
9.5%
-
10.0%
]
9.98%
1,471,0288.9%
[
10.0%
-
10.5%
]
10.30%
419,1276.8%
[
10.5%
-
11.0%
]
10.62%
416,45912.0%
[
11.0%
-
11.5%
]
11.04%
688,60212.4%
[
11.0%
-
11.5%
]
11.44%
566,3768.5%
[
11.5%
-
12.0%
]
11.85%
713,35911.5%
[
12.0%
-
12.5%
]
12.19%
764,4259.8%
[
12.5%
-
13.0%
]
12.63%
680,1879.0%
[
13.0%
-
13.5%
]
13.00%
443,9648.0%
[
13.0%
-
13.5%
]
13.42%
232,18310.7%
[
13.5%
-
14.0%
]
13.81%
336,11516.2%
[
14.0%
-
14.5%
]
14.09%
552,50212.6%
[
14.5%
-
15.0%
]
14.59%
202,2235.6%
[
14.5%
-
15.0%
]
14.93%
465,9988.1%
[
15.0%
-
15.5%
]
15.27%
749,2417.4%
[
15.5%
-
16.0%
]
15.71%
460,9018.1%
[
16.0%
-
16.5%
]
16.08%
276,3369.6%
[
16.0%
-
16.5%
]
16.40%
515,0079.4%
[
16.5%
-
17.0%
]
16.89%
420,4828.8%
[
17.0%
-
17.5%
]
17.21%
102,80913.2%
[
17.5%
-
18.0%
]
17.63%
332,97113.5%
[
17.5%
-
18.0%
]
17.97%
640,51913.5%
[
18.0%
-
18.5%
]
18.43%
527,4507.9%
[
18.5%
-
19.0%
]
18.87%
338,5799.7%
[
19.0%
-
19.5%
]
19.11%
119,01721.2%
[
19.0%
-
19.5%
]
19.48%
319,0656.3%
[
20.0%
-
20.5%
]
20.02%
795,40314.1%
[
20.0%
-
20.5%
]
20.43%
107,02412.4%
[
20.5%
-
21.0%
]
20.74%
236,85715.6%
[
21.0%
-
21.5%
]
21.21%
66,4768.5%
[
21.0%
-
21.5%
]
21.41%
203,8865.9%
[
21.5%
-
22.0%
]
21.85%
64,9469.4%
[
22.0%
-
22.5%
]
22.29%
70,7685.2%
[
22.5%
-
23.0%
]
22.71%
133,3986.5%
[
23.0%
-
23.5%
]
23.09%
144,6018.7%
[
23.0%
-
23.5%
]
23.36%
862,62410.9%
[
23.5%
-
24.0%
]
23.95%
60,81510.1%
[
24.0%
-
24.5%
]
24.23%
181,4828.6%
[
24.5%
-
25.0%
]
24.58%
45,4669.4%
[
25.0%
-
25.5%
]
25.46%
58,5295.2%
[
25.5%
-
26.0%
]
25.62%
91,83318.2%
[
26.0%
-
26.5%
]
26.11%
23,34319.1%
[
26.5%
-
27.0%
]
26.69%
50,7348.7%
[
26.5%
-
27.0%
]
26.85%
88,53111.3%
[
27.0%
-
27.5%
]
27.32%
29,39410.4%
[
27.5%
-
28.0%
]
27.87%
125,56711.4%
[
27.5%
-
28.0%
]
27.93%
52,70718.6%
[
28.0%
-
28.5%
]
28.48%
108,62610.7%
[
28.5%
-
29.0%
]
28.77%
46,42411.2%
[
29.0%
-
29.5%
]
29.13%
128,6004.5%
[
29.5%
-
30.0%
]
29.57%
90,1214.4%
[
29.5%
-
30.0%
]
29.99%
90,5344.4%
[
30.0%
-
30.5%
]
30.34%
118,43720.0%
[
31.0%
-
31.5%
]
31.18%
19,9286.5%
[
31.5%
-
32.0%
]
31.53%
48,93011.2%
[
32.0%
-
32.5%
]
32.10%
38,5546.0%
[
32.0%
-
32.5%
]
32.32%
98,73010.1%
[
34.0%
-
34.5%
]
34.02%
135,97118.7%
[
34.0%
-
34.5%
]
34.14%
43,3049.8%
[
35.5%
-
36.0%
]
35.63%
80,8808.7%
[
36.0%
-
36.5%
]
36.18%
65,9227.0%
[
36.5%
-
37.0%
]
36.54%
31,9868.5%
[
37.0%
-
37.5%
]
37.05%
62,69215.9%
[
37.0%
-
37.5%
]
37.29%
140,60018.9%
[
38.0%
-
38.5%
]
38.11%
129,50412.5%
[
38.5%
-
39.0%
]
38.57%
115,07610.4%
[
38.5%
-
39.0%
]
38.86%
85,5259.3%
[
39.0%
-
39.5%
]
39.20%
7,7865.9%
[
40.0%
-
40.5%
]
40.24%
22,65411.6%
[
40.5%
-
41.0%
]
40.62%
28,2128.5%
[
40.5%
-
41.0%
]
40.74%
2,8253.4%
[
41.5%
-
42.0%
]
41.51%
33,93713.5%
[
42.5%
-
43.0%
]
42.62%
60,36411.7%
[
43.0%
-
43.5%
]
43.21%
83,1149.3%
[
43.5%
-
44.0%
]
43.76%
91,78112.7%
[
43.5%
-
44.0%
]
43.92%
25,46018.1%
[
45.0%
-
45.5%
]
45.16%
37,34014.2%
[
46.0%
-
46.5%
]
46.03%
632.4%
[
46.0%
-
46.5%
]
46.32%
5574.6%
[
47.0%
-
47.5%
]
47.13%
89,53616.1%
[
47.5%
-
48.0%
]
47.81%
96,39311.9%
[
49.0%
-
49.5%
]
49.15%
12,07019.6%
[
54.0%
-
54.5%
]
54.04%
25,0019.9%
[
55.5%
-
56.0%
]
55.81%
26,41811.8%
[
58.5%
-
59.0%
]
58.72%
79,49521.9%