Asian Single Female Poverty

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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/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/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
Immigration
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Single Female Poverty
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Asian Single Female Poverty
Exceptional

18.3%
POVERTY | SINGLE FEMALES
100.0/ 100
METRIC RATING
23rd/ 347
METRIC RANK

Asian Single Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 534,134,882 people shows a significant negative correlation between the proportion of Asians and poverty level among single females in the United States with a correlation coefficient (R) of -0.620 and weighted average of 18.3%. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.13% in poverty level among single females.
Asian Single Female Poverty
It is essential to understand that the correlation between the percentage of Asians and poverty level among single females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Asians influences an upward or downward trend in the level of poverty level among single females within an area, or if Asians 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 Asians by Single Female Poverty

In terms of single female poverty, the demographic groups most similar to Asians are Burmese (18.3%, a difference of 0.0%), Maltese (18.3%, a difference of 0.020%), Immigrants from Greece (18.3%, a difference of 0.070%), Armenian (18.3%, a difference of 0.23%), and Immigrants from Singapore (18.3%, a difference of 0.33%).
DemographicsRating | RankSingle Female Poverty
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%
Asians
100.0
/100
|
#23
Exceptional
18.3%
Armenians
100.0
/100
|
#24
Exceptional
18.3%
Immigrants from Singapore
100.0
/100
|
#25
Exceptional
18.3%
Immigrants from Israel
100.0
/100
|
#26
Exceptional
18.3%
Immigrants from Pakistan
100.0
/100
|
#27
Exceptional
18.4%
Immigrants from Moldova
100.0
/100
|
#28
Exceptional
18.5%
Immigrants from Poland
100.0
/100
|
#29
Exceptional
18.5%
Immigrants from North Macedonia
99.9
/100
|
#30
Exceptional
18.5%

Asian Single Female Poverty Correlation Summary

Measurement Asian Data Single Female Poverty Data
Minimum 0.26% 3.9%
Maximum 77.3% 30.6%
Range 77.1% 26.7%
Mean 35.5% 15.6%
Median 35.0% 16.0%
Interquartile 25% (IQ1) 17.5% 12.7%
Interquartile 75% (IQ3) 53.0% 18.1%
Interquartile Range (IQR) 35.5% 5.4%
Standard Deviation (Sample) 20.9% 4.4%
Standard Deviation (Population) 20.8% 4.4%

Correlation Details

Asian Percentile Sample Size Single Female Poverty
[
0.0%
-
0.5%
]
0.26%
51,460,032 30.6%
[
0.5%
-
1.0%
]
0.74%
50,381,674 27.7%
[
1.0%
-
1.5%
]
1.25%
45,289,549 25.4%
[
1.5%
-
2.0%
]
1.74%
40,508,624 24.0%
[
2.0%
-
2.5%
]
2.25%
33,253,793 23.5%
[
2.5%
-
3.0%
]
2.73%
30,181,995 23.2%
[
3.0%
-
3.5%
]
3.24%
26,967,374 22.0%
[
3.5%
-
4.0%
]
3.73%
22,415,080 21.4%
[
4.0%
-
4.5%
]
4.21%
18,101,372 21.2%
[
4.5%
-
5.0%
]
4.73%
18,528,998 22.0%
[
5.0%
-
5.5%
]
5.26%
12,993,498 19.8%
[
5.5%
-
6.0%
]
5.75%
12,972,998 19.9%
[
6.0%
-
6.5%
]
6.23%
10,324,717 19.5%
[
6.5%
-
7.0%
]
6.76%
13,909,684 22.1%
[
7.0%
-
7.5%
]
7.18%
11,380,596 20.1%
[
7.5%
-
8.0%
]
7.71%
8,392,059 21.9%
[
8.0%
-
8.5%
]
8.27%
7,411,980 19.0%
[
8.5%
-
9.0%
]
8.76%
5,454,947 17.8%
[
9.0%
-
9.5%
]
9.26%
5,096,031 18.3%
[
9.5%
-
10.0%
]
9.75%
5,508,869 17.8%
[
10.0%
-
10.5%
]
10.25%
3,820,068 18.1%
[
10.5%
-
11.0%
]
10.77%
3,719,707 18.0%
[
11.0%
-
11.5%
]
11.23%
4,083,130 15.5%
[
11.5%
-
12.0%
]
11.79%
8,520,359 19.7%
[
12.0%
-
12.5%
]
12.27%
2,965,234 16.1%
[
12.5%
-
13.0%
]
12.72%
3,313,649 17.3%
[
13.0%
-
13.5%
]
13.26%
3,510,930 16.6%
[
13.5%
-
14.0%
]
13.74%
3,841,211 15.5%
[
14.0%
-
14.5%
]
14.40%
12,036,289 23.4%
[
14.5%
-
15.0%
]
14.77%
2,042,401 16.0%
[
15.0%
-
15.5%
]
15.27%
1,960,134 16.3%
[
15.5%
-
16.0%
]
15.78%
2,999,945 17.4%
[
16.0%
-
16.5%
]
16.24%
2,297,298 15.1%
[
16.5%
-
17.0%
]
16.79%
2,215,294 16.8%
[
17.0%
-
17.5%
]
17.31%
2,566,942 16.6%
[
17.5%
-
18.0%
]
17.71%
1,939,049 17.3%
[
18.0%
-
18.5%
]
18.28%
2,012,874 17.6%
[
18.5%
-
19.0%
]
18.74%
1,216,831 16.2%
[
19.0%
-
19.5%
]
19.25%
2,048,807 17.1%
[
19.5%
-
20.0%
]
19.68%
1,785,026 16.0%
[
20.0%
-
20.5%
]
20.25%
922,190 16.7%
[
20.5%
-
21.0%
]
20.80%
1,137,954 16.9%
[
21.0%
-
21.5%
]
21.20%
935,214 12.8%
[
21.5%
-
22.0%
]
21.75%
474,358 9.3%
[
22.0%
-
22.5%
]
22.26%
1,504,529 17.0%
[
22.5%
-
23.0%
]
22.73%
1,200,610 16.4%
[
23.0%
-
23.5%
]
23.26%
800,432 16.6%
[
23.5%
-
24.0%
]
23.75%
701,348 17.7%
[
24.0%
-
24.5%
]
24.24%
763,634 16.4%
[
24.5%
-
25.0%
]
24.70%
649,121 12.6%
[
25.0%
-
25.5%
]
25.29%
894,533 16.2%
[
25.5%
-
26.0%
]
25.81%
1,089,028 18.7%
[
26.0%
-
26.5%
]
26.26%
999,480 15.2%
[
26.5%
-
27.0%
]
26.79%
832,672 14.8%
[
27.0%
-
27.5%
]
27.30%
800,577 17.2%
[
27.5%
-
28.0%
]
27.76%
434,376 13.4%
[
28.0%
-
28.5%
]
28.15%
399,530 19.7%
[
28.5%
-
29.0%
]
28.78%
818,644 18.3%
[
29.0%
-
29.5%
]
29.26%
607,425 16.4%
[
29.5%
-
30.0%
]
29.74%
833,533 15.0%
[
30.0%
-
30.5%
]
30.33%
675,233 14.8%
[
30.5%
-
31.0%
]
30.69%
306,810 19.3%
[
31.0%
-
31.5%
]
31.25%
430,457 12.3%
[
31.5%
-
32.0%
]
31.70%
353,226 16.2%
[
32.0%
-
32.5%
]
32.36%
276,961 13.9%
[
32.5%
-
33.0%
]
32.74%
372,045 12.9%
[
33.0%
-
33.5%
]
33.24%
503,298 13.1%
[
33.5%
-
34.0%
]
33.68%
472,870 17.0%
[
34.0%
-
34.5%
]
34.05%
105,124 11.9%
[
34.5%
-
35.0%
]
34.79%
1,313,739 14.1%
[
35.0%
-
35.5%
]
35.24%
333,222 17.0%
[
35.5%
-
36.0%
]
35.71%
537,883 19.6%
[
36.0%
-
36.5%
]
36.18%
133,059 13.1%
[
36.5%
-
37.0%
]
36.72%
480,655 18.4%
[
37.0%
-
37.5%
]
37.30%
562,602 17.8%
[
37.5%
-
38.0%
]
37.79%
437,732 12.7%
[
38.0%
-
38.5%
]
38.17%
1,332,443 11.0%
[
38.5%
-
39.0%
]
38.79%
188,809 11.6%
[
39.0%
-
39.5%
]
39.48%
224,963 16.9%
[
39.5%
-
40.0%
]
39.89%
297,845 11.8%
[
40.0%
-
40.5%
]
40.26%
135,050 12.5%
[
41.0%
-
41.5%
]
41.20%
211,734 16.5%
[
41.5%
-
42.0%
]
41.68%
551,389 13.8%
[
42.0%
-
42.5%
]
42.11%
115,669 12.7%
[
42.5%
-
43.0%
]
42.85%
177,161 17.2%
[
43.0%
-
43.5%
]
43.30%
262,912 15.1%
[
43.5%
-
44.0%
]
43.84%
213,582 15.7%
[
44.0%
-
44.5%
]
44.29%
406,566 21.0%
[
44.5%
-
45.0%
]
44.80%
142,164 14.0%
[
45.0%
-
45.5%
]
45.22%
61,578 16.0%
[
45.5%
-
46.0%
]
45.82%
31,342 17.1%
[
46.0%
-
46.5%
]
46.23%
74,176 20.8%
[
46.5%
-
47.0%
]
46.76%
178,472 9.5%
[
47.0%
-
47.5%
]
47.19%
195,881 11.4%
[
47.5%
-
48.0%
]
47.74%
127,923 8.0%
[
48.0%
-
48.5%
]
48.13%
228,738 16.7%
[
48.5%
-
49.0%
]
48.80%
116,347 10.8%
[
49.0%
-
49.5%
]
49.16%
266,739 15.1%
[
49.5%
-
50.0%
]
49.63%
209,622 14.2%
[
50.0%
-
50.5%
]
50.33%
154,024 14.2%
[
50.5%
-
51.0%
]
50.75%
219,428 18.2%
[
51.0%
-
51.5%
]
51.31%
172,659 9.2%
[
51.5%
-
52.0%
]
51.72%
96,416 3.9%
[
52.0%
-
52.5%
]
52.26%
526,441 14.5%
[
52.5%
-
53.0%
]
52.61%
81,783 12.7%
[
53.0%
-
53.5%
]
53.40%
175,351 11.2%
[
53.5%
-
54.0%
]
53.74%
165,668 10.1%
[
54.0%
-
54.5%
]
54.29%
141,008 10.7%
[
54.5%
-
55.0%
]
54.70%
178,510 13.1%
[
55.0%
-
55.5%
]
55.23%
68,047 10.7%
[
55.5%
-
56.0%
]
55.87%
195,849 11.7%
[
56.0%
-
56.5%
]
56.01%
16,722 4.3%
[
56.5%
-
57.0%
]
56.73%
21,402 4.7%
[
57.0%
-
57.5%
]
57.17%
94,153 14.1%
[
57.5%
-
58.0%
]
57.83%
66,247 16.8%
[
58.0%
-
58.5%
]
58.24%
133,417 19.3%
[
58.5%
-
59.0%
]
58.79%
229,316 15.6%
[
59.0%
-
59.5%
]
59.41%
93,745 13.5%
[
59.5%
-
60.0%
]
59.77%
43,851 11.2%
[
60.0%
-
60.5%
]
60.23%
187,009 12.1%
[
60.5%
-
61.0%
]
60.60%
153,666 13.0%
[
61.0%
-
61.5%
]
61.27%
132,470 13.7%
[
61.5%
-
62.0%
]
61.81%
265,452 11.0%
[
62.5%
-
63.0%
]
62.67%
166,706 15.0%
[
63.0%
-
63.5%
]
63.33%
56,910 10.5%
[
63.5%
-
64.0%
]
63.93%
59,410 11.2%
[
64.5%
-
65.0%
]
64.88%
101,367 10.7%
[
65.0%
-
65.5%
]
65.39%
116,730 10.9%
[
65.5%
-
66.0%
]
65.67%
64,377 12.8%
[
66.5%
-
67.0%
]
66.58%
53,371 18.6%
[
67.0%
-
67.5%
]
67.23%
39,873 18.8%
[
68.0%
-
68.5%
]
68.31%
25,001 20.0%
[
68.5%
-
69.0%
]
68.56%
39,565 4.6%
[
69.0%
-
69.5%
]
69.46%
7,786 4.9%
[
69.5%
-
70.0%
]
69.85%
219,899 12.0%
[
70.0%
-
70.5%
]
70.18%
68,613 18.6%
[
70.5%
-
71.0%
]
70.74%
57,753 12.4%
[
72.5%
-
73.0%
]
72.64%
79,495 20.3%
[
74.0%
-
74.5%
]
74.33%
37,671 9.4%
[
77.0%
-
77.5%
]
77.32%
53,464 12.0%