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

Indian (Asian) Poverty
Exceptional

11.3%
POVERTY
96.6/ 100
METRIC RATING
80th/ 347
METRIC RANK

Indian (Asian) Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 494,774,105 people shows a slight positive correlation between the proportion of Indians (Asian) and poverty level in the United States with a correlation coefficient (R) of 0.093 and weighted average of 11.3%. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.024% in poverty level.
Indian (Asian) Poverty
It is essential to understand that the correlation between the percentage of Indians (Asian) and poverty level 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 within an area, or if Indians (Asian) simply ended up residing in those areas with higher or lower levels of poverty level due to other factors.

Demographics Similar to Indians (Asian) by Poverty

In terms of poverty, the demographic groups most similar to Indians (Asian) are Irish (11.3%, a difference of 0.0%), Cambodian (11.3%, a difference of 0.020%), Dutch (11.3%, a difference of 0.060%), Immigrants from Eastern Asia (11.3%, a difference of 0.080%), and Egyptian (11.3%, a difference of 0.10%).
DemographicsRating | RankPoverty
Immigrants from Belgium
97.2
/100
|
#73
Exceptional
11.3%
Carpatho Rusyns
97.2
/100
|
#74
Exceptional
11.3%
Immigrants from Eastern Europe
97.0
/100
|
#75
Exceptional
11.3%
Immigrants from North America
96.8
/100
|
#76
Exceptional
11.3%
Immigrants from Eastern Asia
96.7
/100
|
#77
Exceptional
11.3%
Dutch
96.7
/100
|
#78
Exceptional
11.3%
Cambodians
96.7
/100
|
#79
Exceptional
11.3%
Indians (Asian)
96.6
/100
|
#80
Exceptional
11.3%
Irish
96.6
/100
|
#81
Exceptional
11.3%
Egyptians
96.5
/100
|
#82
Exceptional
11.3%
Immigrants from Sweden
96.3
/100
|
#83
Exceptional
11.3%
English
96.3
/100
|
#84
Exceptional
11.3%
Immigrants from England
96.2
/100
|
#85
Exceptional
11.4%
Jordanians
96.0
/100
|
#86
Exceptional
11.4%
Northern Europeans
96.0
/100
|
#87
Exceptional
11.4%

Indian (Asian) Poverty Correlation Summary

Measurement Indian (Asian) Data Poverty Data
Minimum 0.19% 1.6%
Maximum 58.7% 20.6%
Range 58.5% 19.0%
Mean 23.0% 10.4%
Median 21.6% 10.3%
Interquartile 25% (IQ1) 10.8% 8.3%
Interquartile 75% (IQ3) 34.1% 12.0%
Interquartile Range (IQR) 23.2% 3.7%
Standard Deviation (Sample) 14.6% 3.8%
Standard Deviation (Population) 14.5% 3.7%

Correlation Details

Indian (Asian) Percentile Sample Size Poverty
[
0.0%
-
0.5%
]
0.19%
140,508,250 15.1%
[
0.5%
-
1.0%
]
0.57%
108,181,375 13.1%
[
0.5%
-
1.0%
]
0.95%
62,701,291 12.0%
[
1.0%
-
1.5%
]
1.34%
36,222,079 11.2%
[
1.5%
-
2.0%
]
1.72%
25,889,189 10.7%
[
2.0%
-
2.5%
]
2.11%
17,527,219 10.4%
[
2.5%
-
3.0%
]
2.51%
18,087,666 12.6%
[
2.5%
-
3.0%
]
2.91%
11,432,925 11.7%
[
3.0%
-
3.5%
]
3.29%
6,928,355 10.3%
[
3.5%
-
4.0%
]
3.67%
5,980,171 9.2%
[
4.0%
-
4.5%
]
4.08%
5,823,534 11.1%
[
4.0%
-
4.5%
]
4.48%
3,404,323 9.3%
[
4.5%
-
5.0%
]
4.83%
3,305,950 9.7%
[
5.0%
-
5.5%
]
5.22%
4,111,815 12.3%
[
5.5%
-
6.0%
]
5.64%
2,346,312 8.4%
[
5.5%
-
6.0%
]
6.00%
2,213,516 9.6%
[
6.0%
-
6.5%
]
6.42%
1,655,085 10.4%
[
6.5%
-
7.0%
]
6.77%
1,857,146 10.8%
[
7.0%
-
7.5%
]
7.25%
10,875,983 16.0%
[
7.5%
-
8.0%
]
7.61%
1,072,906 10.7%
[
7.5%
-
8.0%
]
7.95%
1,294,937 10.4%
[
8.0%
-
8.5%
]
8.35%
1,289,113 11.8%
[
8.5%
-
9.0%
]
8.71%
1,908,479 10.9%
[
9.0%
-
9.5%
]
9.15%
717,066 8.9%
[
9.5%
-
10.0%
]
9.51%
775,492 9.5%
[
9.5%
-
10.0%
]
9.98%
1,471,028 8.1%
[
10.0%
-
10.5%
]
10.30%
419,127 6.1%
[
10.5%
-
11.0%
]
10.62%
417,192 10.7%
[
11.0%
-
11.5%
]
11.04%
689,816 11.9%
[
11.0%
-
11.5%
]
11.44%
566,376 8.0%
[
11.5%
-
12.0%
]
11.85%
713,359 10.6%
[
12.0%
-
12.5%
]
12.19%
766,633 9.1%
[
12.5%
-
13.0%
]
12.63%
680,187 8.4%
[
13.0%
-
13.5%
]
13.00%
443,964 7.1%
[
13.0%
-
13.5%
]
13.42%
232,795 10.9%
[
13.5%
-
14.0%
]
13.81%
336,115 15.3%
[
14.0%
-
14.5%
]
14.09%
552,502 11.4%
[
14.5%
-
15.0%
]
14.59%
202,223 5.1%
[
14.5%
-
15.0%
]
14.93%
466,412 7.7%
[
15.0%
-
15.5%
]
15.27%
749,241 6.6%
[
15.5%
-
16.0%
]
15.71%
465,405 8.1%
[
16.0%
-
16.5%
]
16.08%
276,336 9.0%
[
16.0%
-
16.5%
]
16.40%
515,007 8.8%
[
16.5%
-
17.0%
]
16.89%
420,482 7.7%
[
17.0%
-
17.5%
]
17.21%
102,809 12.6%
[
17.5%
-
18.0%
]
17.63%
332,971 12.2%
[
17.5%
-
18.0%
]
17.97%
640,519 12.5%
[
18.0%
-
18.5%
]
18.43%
527,450 7.1%
[
18.5%
-
19.0%
]
18.87%
338,579 9.2%
[
19.0%
-
19.5%
]
19.11%
119,017 16.2%
[
19.0%
-
19.5%
]
19.48%
319,065 5.8%
[
20.0%
-
20.5%
]
20.02%
795,534 13.5%
[
20.0%
-
20.5%
]
20.43%
107,024 10.6%
[
20.5%
-
21.0%
]
20.74%
236,857 14.7%
[
21.0%
-
21.5%
]
21.21%
66,476 8.5%
[
21.0%
-
21.5%
]
21.41%
203,886 5.0%
[
21.5%
-
22.0%
]
21.85%
64,946 8.6%
[
22.0%
-
22.5%
]
22.29%
70,768 4.7%
[
22.5%
-
23.0%
]
22.71%
133,398 6.3%
[
23.0%
-
23.5%
]
23.09%
144,601 8.3%
[
23.0%
-
23.5%
]
23.36%
862,624 10.4%
[
23.5%
-
24.0%
]
23.95%
60,815 8.9%
[
24.0%
-
24.5%
]
24.23%
181,482 7.9%
[
24.5%
-
25.0%
]
24.58%
45,466 9.1%
[
25.0%
-
25.5%
]
25.46%
58,529 4.7%
[
25.5%
-
26.0%
]
25.62%
91,833 17.4%
[
26.0%
-
26.5%
]
26.11%
23,343 20.6%
[
26.5%
-
27.0%
]
26.69%
50,734 8.0%
[
26.5%
-
27.0%
]
26.85%
88,531 10.5%
[
27.0%
-
27.5%
]
27.32%
29,394 9.5%
[
27.5%
-
28.0%
]
27.87%
125,567 10.5%
[
27.5%
-
28.0%
]
27.93%
52,707 16.0%
[
28.0%
-
28.5%
]
28.48%
108,626 9.6%
[
28.5%
-
29.0%
]
28.77%
46,424 10.9%
[
29.0%
-
29.5%
]
29.13%
128,689 4.5%
[
29.5%
-
30.0%
]
29.57%
90,121 4.2%
[
29.5%
-
30.0%
]
29.99%
90,534 4.6%
[
30.0%
-
30.5%
]
30.34%
118,437 18.5%
[
30.5%
-
31.0%
]
30.73%
192 8.3%
[
31.0%
-
31.5%
]
31.18%
19,928 8.4%
[
31.5%
-
32.0%
]
31.53%
48,930 10.8%
[
32.0%
-
32.5%
]
32.10%
38,554 6.2%
[
32.0%
-
32.5%
]
32.32%
98,730 10.5%
[
34.0%
-
34.5%
]
34.02%
135,971 18.1%
[
34.0%
-
34.5%
]
34.14%
43,304 9.0%
[
35.5%
-
36.0%
]
35.63%
80,880 9.0%
[
36.0%
-
36.5%
]
36.18%
65,922 7.0%
[
36.5%
-
37.0%
]
36.54%
31,986 8.2%
[
37.0%
-
37.5%
]
37.05%
62,692 15.5%
[
37.0%
-
37.5%
]
37.29%
141,083 17.1%
[
38.0%
-
38.5%
]
38.11%
129,504 11.5%
[
38.5%
-
39.0%
]
38.57%
115,076 10.0%
[
38.5%
-
39.0%
]
38.86%
85,525 8.8%
[
39.0%
-
39.5%
]
39.20%
7,786 4.9%
[
40.0%
-
40.5%
]
40.23%
23,014 11.1%
[
40.5%
-
41.0%
]
40.62%
28,212 7.8%
[
40.5%
-
41.0%
]
40.74%
2,825 2.4%
[
41.5%
-
42.0%
]
41.51%
33,937 11.8%
[
42.5%
-
43.0%
]
42.62%
60,364 11.6%
[
43.0%
-
43.5%
]
43.21%
83,114 9.5%
[
43.5%
-
44.0%
]
43.76%
91,781 12.2%
[
43.5%
-
44.0%
]
43.92%
25,460 16.6%
[
45.0%
-
45.5%
]
45.16%
37,340 13.6%
[
46.0%
-
46.5%
]
46.03%
63 1.6%
[
46.0%
-
46.5%
]
46.32%
557 19.7%
[
46.5%
-
47.0%
]
46.81%
329 4.9%
[
47.0%
-
47.5%
]
47.13%
89,536 15.3%
[
47.5%
-
48.0%
]
47.81%
96,393 11.2%
[
49.0%
-
49.5%
]
49.15%
12,070 18.6%
[
54.0%
-
54.5%
]
54.04%
25,001 9.0%
[
55.5%
-
56.0%
]
55.81%
26,418 12.2%
[
58.5%
-
59.0%
]
58.72%
79,495 20.5%