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

Measurement Indian (Asian) Data Female Poverty Data
Minimum 0.19% 2.4%
Maximum 58.7% 21.9%
Range 58.5% 19.5%
Mean 22.8% 11.0%
Median 21.3% 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) Percentile Sample Size Female Poverty
[
0.0%
-
0.5%
]
0.19%
140,492,706 16.5%
[
0.5%
-
1.0%
]
0.57%
108,155,398 14.3%
[
0.5%
-
1.0%
]
0.95%
62,680,374 13.1%
[
1.0%
-
1.5%
]
1.34%
36,199,413 12.2%
[
1.5%
-
2.0%
]
1.72%
25,878,789 11.8%
[
2.0%
-
2.5%
]
2.11%
17,515,244 11.3%
[
2.5%
-
3.0%
]
2.51%
18,082,066 13.6%
[
2.5%
-
3.0%
]
2.91%
11,421,479 12.6%
[
3.0%
-
3.5%
]
3.29%
6,923,991 11.1%
[
3.5%
-
4.0%
]
3.67%
5,973,946 9.9%
[
4.0%
-
4.5%
]
4.08%
5,822,845 12.0%
[
4.0%
-
4.5%
]
4.48%
3,398,984 9.9%
[
4.5%
-
5.0%
]
4.83%
3,305,400 10.3%
[
5.0%
-
5.5%
]
5.22%
4,106,863 13.3%
[
5.5%
-
6.0%
]
5.64%
2,343,890 9.0%
[
5.5%
-
6.0%
]
6.00%
2,211,475 10.3%
[
6.0%
-
6.5%
]
6.42%
1,651,461 11.1%
[
6.5%
-
7.0%
]
6.77%
1,853,795 12.0%
[
7.0%
-
7.5%
]
7.25%
10,875,983 17.2%
[
7.5%
-
8.0%
]
7.61%
1,063,882 11.4%
[
7.5%
-
8.0%
]
7.95%
1,282,948 10.9%
[
8.0%
-
8.5%
]
8.35%
1,289,113 12.4%
[
8.5%
-
9.0%
]
8.71%
1,899,021 11.5%
[
9.0%
-
9.5%
]
9.15%
717,066 9.6%
[
9.5%
-
10.0%
]
9.51%
775,492 10.2%
[
9.5%
-
10.0%
]
9.98%
1,471,028 8.9%
[
10.0%
-
10.5%
]
10.30%
419,127 6.8%
[
10.5%
-
11.0%
]
10.62%
416,459 12.0%
[
11.0%
-
11.5%
]
11.04%
688,602 12.4%
[
11.0%
-
11.5%
]
11.44%
566,376 8.5%
[
11.5%
-
12.0%
]
11.85%
713,359 11.5%
[
12.0%
-
12.5%
]
12.19%
764,425 9.8%
[
12.5%
-
13.0%
]
12.63%
680,187 9.0%
[
13.0%
-
13.5%
]
13.00%
443,964 8.0%
[
13.0%
-
13.5%
]
13.42%
232,183 10.7%
[
13.5%
-
14.0%
]
13.81%
336,115 16.2%
[
14.0%
-
14.5%
]
14.09%
552,502 12.6%
[
14.5%
-
15.0%
]
14.59%
202,223 5.6%
[
14.5%
-
15.0%
]
14.93%
465,998 8.1%
[
15.0%
-
15.5%
]
15.27%
749,241 7.4%
[
15.5%
-
16.0%
]
15.71%
460,901 8.1%
[
16.0%
-
16.5%
]
16.08%
276,336 9.6%
[
16.0%
-
16.5%
]
16.40%
515,007 9.4%
[
16.5%
-
17.0%
]
16.89%
420,482 8.8%
[
17.0%
-
17.5%
]
17.21%
102,809 13.2%
[
17.5%
-
18.0%
]
17.63%
332,971 13.5%
[
17.5%
-
18.0%
]
17.97%
640,519 13.5%
[
18.0%
-
18.5%
]
18.43%
527,450 7.9%
[
18.5%
-
19.0%
]
18.87%
338,579 9.7%
[
19.0%
-
19.5%
]
19.11%
119,017 21.2%
[
19.0%
-
19.5%
]
19.48%
319,065 6.3%
[
20.0%
-
20.5%
]
20.02%
795,403 14.1%
[
20.0%
-
20.5%
]
20.43%
107,024 12.4%
[
20.5%
-
21.0%
]
20.74%
236,857 15.6%
[
21.0%
-
21.5%
]
21.21%
66,476 8.5%
[
21.0%
-
21.5%
]
21.41%
203,886 5.9%
[
21.5%
-
22.0%
]
21.85%
64,946 9.4%
[
22.0%
-
22.5%
]
22.29%
70,768 5.2%
[
22.5%
-
23.0%
]
22.71%
133,398 6.5%
[
23.0%
-
23.5%
]
23.09%
144,601 8.7%
[
23.0%
-
23.5%
]
23.36%
862,624 10.9%
[
23.5%
-
24.0%
]
23.95%
60,815 10.1%
[
24.0%
-
24.5%
]
24.23%
181,482 8.6%
[
24.5%
-
25.0%
]
24.58%
45,466 9.4%
[
25.0%
-
25.5%
]
25.46%
58,529 5.2%
[
25.5%
-
26.0%
]
25.62%
91,833 18.2%
[
26.0%
-
26.5%
]
26.11%
23,343 19.1%
[
26.5%
-
27.0%
]
26.69%
50,734 8.7%
[
26.5%
-
27.0%
]
26.85%
88,531 11.3%
[
27.0%
-
27.5%
]
27.32%
29,394 10.4%
[
27.5%
-
28.0%
]
27.87%
125,567 11.4%
[
27.5%
-
28.0%
]
27.93%
52,707 18.6%
[
28.0%
-
28.5%
]
28.48%
108,626 10.7%
[
28.5%
-
29.0%
]
28.77%
46,424 11.2%
[
29.0%
-
29.5%
]
29.13%
128,600 4.5%
[
29.5%
-
30.0%
]
29.57%
90,121 4.4%
[
29.5%
-
30.0%
]
29.99%
90,534 4.4%
[
30.0%
-
30.5%
]
30.34%
118,437 20.0%
[
31.0%
-
31.5%
]
31.18%
19,928 6.5%
[
31.5%
-
32.0%
]
31.53%
48,930 11.2%
[
32.0%
-
32.5%
]
32.10%
38,554 6.0%
[
32.0%
-
32.5%
]
32.32%
98,730 10.1%
[
34.0%
-
34.5%
]
34.02%
135,971 18.7%
[
34.0%
-
34.5%
]
34.14%
43,304 9.8%
[
35.5%
-
36.0%
]
35.63%
80,880 8.7%
[
36.0%
-
36.5%
]
36.18%
65,922 7.0%
[
36.5%
-
37.0%
]
36.54%
31,986 8.5%
[
37.0%
-
37.5%
]
37.05%
62,692 15.9%
[
37.0%
-
37.5%
]
37.29%
140,600 18.9%
[
38.0%
-
38.5%
]
38.11%
129,504 12.5%
[
38.5%
-
39.0%
]
38.57%
115,076 10.4%
[
38.5%
-
39.0%
]
38.86%
85,525 9.3%
[
39.0%
-
39.5%
]
39.20%
7,786 5.9%
[
40.0%
-
40.5%
]
40.24%
22,654 11.6%
[
40.5%
-
41.0%
]
40.62%
28,212 8.5%
[
40.5%
-
41.0%
]
40.74%
2,825 3.4%
[
41.5%
-
42.0%
]
41.51%
33,937 13.5%
[
42.5%
-
43.0%
]
42.62%
60,364 11.7%
[
43.0%
-
43.5%
]
43.21%
83,114 9.3%
[
43.5%
-
44.0%
]
43.76%
91,781 12.7%
[
43.5%
-
44.0%
]
43.92%
25,460 18.1%
[
45.0%
-
45.5%
]
45.16%
37,340 14.2%
[
46.0%
-
46.5%
]
46.03%
63 2.4%
[
46.0%
-
46.5%
]
46.32%
557 4.6%
[
47.0%
-
47.5%
]
47.13%
89,536 16.1%
[
47.5%
-
48.0%
]
47.81%
96,393 11.9%
[
49.0%
-
49.5%
]
49.15%
12,070 19.6%
[
54.0%
-
54.5%
]
54.04%
25,001 9.9%
[
55.5%
-
56.0%
]
55.81%
26,418 11.8%
[
58.5%
-
59.0%
]
58.72%
79,495 21.9%