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

Indian (Asian) Single Female Poverty
Exceptional

17.9%
POVERTY | SINGLE FEMALES
100.0/ 100
METRIC RATING
15th/ 347
METRIC RANK

Indian (Asian) Single Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 483,253,971 people shows a poor negative correlation between the proportion of Indians (Asian) and poverty level among single females in the United States with a correlation coefficient (R) of -0.190 and weighted average of 17.9%. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.061% in poverty level among single females.
Indian (Asian) Single Female Poverty
It is essential to understand that the correlation between the percentage of Indians (Asian) and poverty level among single 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 single females within an area, or if Indians (Asian) simply ended up residing in those areas with higher or lower levels of poverty level among single females due to other factors.

Demographics Similar to Indians (Asian) by Single Female Poverty

In terms of single female poverty, the demographic groups most similar to Indians (Asian) are Bolivian (17.9%, a difference of 0.15%), Iranian (18.0%, a difference of 0.16%), Immigrants from Bolivia (17.8%, a difference of 0.59%), Immigrants from Korea (18.1%, a difference of 0.76%), and Immigrants from South Central Asia (17.8%, a difference of 0.85%).
DemographicsRating | RankSingle Female Poverty
Immigrants from Iran
100.0
/100
|
#8
Exceptional
17.5%
Bhutanese
100.0
/100
|
#9
Exceptional
17.7%
Immigrants from Ireland
100.0
/100
|
#10
Exceptional
17.8%
Immigrants from Lithuania
100.0
/100
|
#11
Exceptional
17.8%
Immigrants from South Central Asia
100.0
/100
|
#12
Exceptional
17.8%
Immigrants from Bolivia
100.0
/100
|
#13
Exceptional
17.8%
Bolivians
100.0
/100
|
#14
Exceptional
17.9%
Indians (Asian)
100.0
/100
|
#15
Exceptional
17.9%
Iranians
100.0
/100
|
#16
Exceptional
18.0%
Immigrants from Korea
100.0
/100
|
#17
Exceptional
18.1%
Immigrants from Eastern Asia
100.0
/100
|
#18
Exceptional
18.1%
Immigrants from China
100.0
/100
|
#19
Exceptional
18.1%
Immigrants from Greece
100.0
/100
|
#20
Exceptional
18.3%
Maltese
100.0
/100
|
#21
Exceptional
18.3%
Burmese
100.0
/100
|
#22
Exceptional
18.3%

Indian (Asian) Single Female Poverty Correlation Summary

Measurement Indian (Asian) Data Single Female Poverty Data
Minimum 0.19% 4.6%
Maximum 58.7% 26.6%
Range 58.5% 21.9%
Mean 22.1% 15.3%
Median 20.6% 15.4%
Interquartile 25% (IQ1) 10.3% 12.4%
Interquartile 75% (IQ3) 32.1% 18.6%
Interquartile Range (IQR) 21.8% 6.2%
Standard Deviation (Sample) 14.3% 4.6%
Standard Deviation (Population) 14.2% 4.6%

Correlation Details

Indian (Asian) Percentile Sample Size Single Female Poverty
[
0.0%
-
0.5%
]
0.19%
137,993,241 26.0%
[
0.5%
-
1.0%
]
0.57%
106,324,708 23.0%
[
0.5%
-
1.0%
]
0.95%
61,356,068 20.9%
[
1.0%
-
1.5%
]
1.34%
35,197,773 19.8%
[
1.5%
-
2.0%
]
1.72%
25,231,464 18.8%
[
2.0%
-
2.5%
]
2.11%
16,974,142 17.9%
[
2.5%
-
3.0%
]
2.51%
17,629,653 20.3%
[
2.5%
-
3.0%
]
2.91%
11,119,253 18.9%
[
3.0%
-
3.5%
]
3.29%
6,704,175 16.0%
[
3.5%
-
4.0%
]
3.67%
5,673,221 16.0%
[
4.0%
-
4.5%
]
4.08%
5,621,284 19.1%
[
4.0%
-
4.5%
]
4.48%
3,210,156 15.6%
[
4.5%
-
5.0%
]
4.83%
3,149,285 15.6%
[
5.0%
-
5.5%
]
5.22%
3,882,092 18.3%
[
5.5%
-
6.0%
]
5.64%
2,234,964 14.5%
[
6.0%
-
6.5%
]
6.00%
2,066,449 16.0%
[
6.0%
-
6.5%
]
6.42%
1,534,884 15.7%
[
6.5%
-
7.0%
]
6.77%
1,773,720 15.2%
[
7.0%
-
7.5%
]
7.25%
10,843,975 23.3%
[
7.5%
-
8.0%
]
7.61%
1,011,171 16.1%
[
7.5%
-
8.0%
]
7.94%
1,241,520 14.5%
[
8.0%
-
8.5%
]
8.34%
1,193,672 16.4%
[
8.5%
-
9.0%
]
8.71%
1,842,385 16.5%
[
9.0%
-
9.5%
]
9.15%
669,864 13.3%
[
9.5%
-
10.0%
]
9.51%
730,710 15.5%
[
9.5%
-
10.0%
]
9.99%
1,418,882 13.0%
[
10.0%
-
10.5%
]
10.30%
381,819 13.0%
[
10.5%
-
11.0%
]
10.62%
409,655 18.6%
[
11.0%
-
11.5%
]
11.05%
669,549 14.7%
[
11.0%
-
11.5%
]
11.44%
497,056 11.7%
[
11.5%
-
12.0%
]
11.85%
681,909 16.0%
[
12.0%
-
12.5%
]
12.19%
724,089 13.8%
[
12.5%
-
13.0%
]
12.63%
670,779 15.5%
[
13.0%
-
13.5%
]
13.01%
423,587 17.4%
[
13.0%
-
13.5%
]
13.43%
173,150 13.8%
[
13.5%
-
14.0%
]
13.81%
332,211 16.7%
[
14.0%
-
14.5%
]
14.09%
544,143 16.2%
[
14.5%
-
15.0%
]
14.60%
181,989 12.4%
[
14.5%
-
15.0%
]
14.93%
446,168 12.9%
[
15.0%
-
15.5%
]
15.27%
730,933 13.7%
[
15.5%
-
16.0%
]
15.71%
460,901 14.1%
[
16.0%
-
16.5%
]
16.08%
275,313 13.7%
[
16.0%
-
16.5%
]
16.41%
506,164 14.3%
[
16.5%
-
17.0%
]
16.88%
403,310 13.5%
[
17.0%
-
17.5%
]
17.21%
102,809 10.6%
[
17.5%
-
18.0%
]
17.63%
332,971 19.7%
[
17.5%
-
18.0%
]
17.97%
633,958 21.5%
[
18.0%
-
18.5%
]
18.43%
527,126 14.7%
[
18.5%
-
19.0%
]
18.88%
328,134 14.6%
[
19.0%
-
19.5%
]
19.11%
110,633 24.2%
[
19.0%
-
19.5%
]
19.48%
304,368 9.0%
[
20.0%
-
20.5%
]
20.02%
795,403 14.9%
[
20.0%
-
20.5%
]
20.43%
104,063 15.6%
[
20.5%
-
21.0%
]
20.73%
224,645 20.1%
[
21.0%
-
21.5%
]
21.21%
65,312 12.0%
[
21.0%
-
21.5%
]
21.39%
182,702 12.0%
[
21.5%
-
22.0%
]
21.85%
64,946 15.5%
[
22.0%
-
22.5%
]
22.23%
50,716 17.1%
[
22.5%
-
23.0%
]
22.72%
122,985 8.2%
[
23.0%
-
23.5%
]
23.09%
144,601 10.2%
[
23.0%
-
23.5%
]
23.36%
862,624 15.2%
[
23.5%
-
24.0%
]
23.95%
60,815 16.1%
[
24.0%
-
24.5%
]
24.23%
177,063 19.2%
[
24.5%
-
25.0%
]
24.58%
45,466 9.8%
[
25.0%
-
25.5%
]
25.46%
55,779 4.6%
[
25.5%
-
26.0%
]
25.62%
91,833 23.0%
[
26.5%
-
27.0%
]
26.69%
50,734 12.7%
[
26.5%
-
27.0%
]
26.85%
88,531 11.0%
[
27.0%
-
27.5%
]
27.32%
29,394 19.8%
[
27.5%
-
28.0%
]
27.87%
124,609 10.6%
[
27.5%
-
28.0%
]
27.93%
52,707 24.2%
[
28.0%
-
28.5%
]
28.48%
108,577 17.1%
[
28.5%
-
29.0%
]
28.77%
46,424 16.7%
[
29.0%
-
29.5%
]
29.13%
128,600 11.9%
[
29.5%
-
30.0%
]
29.59%
71,485 8.2%
[
29.5%
-
30.0%
]
29.99%
90,534 11.8%
[
30.0%
-
30.5%
]
30.34%
118,437 21.2%
[
31.0%
-
31.5%
]
31.18%
19,928 6.4%
[
31.5%
-
32.0%
]
31.53%
48,930 15.2%
[
32.0%
-
32.5%
]
32.10%
38,554 5.3%
[
32.0%
-
32.5%
]
32.32%
98,730 11.2%
[
34.0%
-
34.5%
]
34.02%
135,971 22.8%
[
34.0%
-
34.5%
]
34.14%
43,304 19.6%
[
35.5%
-
36.0%
]
35.63%
80,880 8.7%
[
36.0%
-
36.5%
]
36.18%
65,922 10.3%
[
36.5%
-
37.0%
]
36.54%
31,986 11.3%
[
37.0%
-
37.5%
]
37.05%
61,592 20.6%
[
37.0%
-
37.5%
]
37.29%
140,600 26.6%
[
38.0%
-
38.5%
]
38.11%
129,504 12.2%
[
38.5%
-
39.0%
]
38.57%
113,969 14.5%
[
38.5%
-
39.0%
]
38.86%
85,525 10.0%
[
39.0%
-
39.5%
]
39.20%
7,786 4.9%
[
40.0%
-
40.5%
]
40.24%
22,654 19.5%
[
40.5%
-
41.0%
]
40.62%
28,212 7.4%
[
41.5%
-
42.0%
]
41.51%
33,937 8.6%
[
42.5%
-
43.0%
]
42.62%
59,410 11.2%
[
43.0%
-
43.5%
]
43.21%
83,114 12.6%
[
43.5%
-
44.0%
]
43.76%
91,781 13.7%
[
43.5%
-
44.0%
]
43.92%
25,460 17.2%
[
45.0%
-
45.5%
]
45.16%
37,340 17.1%
[
47.0%
-
47.5%
]
47.13%
89,536 17.9%
[
47.5%
-
48.0%
]
47.80%
95,942 12.7%
[
49.0%
-
49.5%
]
49.15%
12,070 23.7%
[
54.0%
-
54.5%
]
54.04%
25,001 20.0%
[
55.5%
-
56.0%
]
55.81%
26,418 13.4%
[
58.5%
-
59.0%
]
58.72%
79,495 20.3%