Bhutanese Female Poverty

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Bhutanese
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/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBlackfeetBolivianBrazilianBritishBritish 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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Female Poverty
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Bhutanese Female Poverty
Exceptional

11.3%
POVERTY | FEMALES
99.9/ 100
METRIC RATING
12th/ 347
METRIC RANK

Bhutanese Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 455,052,143 people shows a weak positive correlation between the proportion of Bhutanese and poverty level among females in the United States with a correlation coefficient (R) of 0.207 and weighted average of 11.3%. On average, for every 1% (one percent) increase in Bhutanese within a typical geography, there is an increase of 0.13% in poverty level among females.
Bhutanese Female Poverty
It is essential to understand that the correlation between the percentage of Bhutanese and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Bhutanese influences an upward or downward trend in the level of poverty level among females within an area, or if Bhutanese simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.

Demographics Similar to Bhutanese by Female Poverty

In terms of female poverty, the demographic groups most similar to Bhutanese are Immigrants from Lithuania (11.3%, a difference of 0.010%), Maltese (11.2%, a difference of 0.46%), Immigrants from Hong Kong (11.2%, a difference of 0.57%), Lithuanian (11.4%, a difference of 0.97%), and Latvian (11.4%, a difference of 1.3%).
DemographicsRating | RankFemale Poverty
Filipinos
100.0
/100
|
#5
Exceptional
10.9%
Immigrants from Ireland
99.9
/100
|
#6
Exceptional
11.0%
Assyrians/Chaldeans/Syriacs
99.9
/100
|
#7
Exceptional
11.0%
Immigrants from South Central Asia
99.9
/100
|
#8
Exceptional
11.1%
Bulgarians
99.9
/100
|
#9
Exceptional
11.1%
Immigrants from Hong Kong
99.9
/100
|
#10
Exceptional
11.2%
Maltese
99.9
/100
|
#11
Exceptional
11.2%
Bhutanese
99.9
/100
|
#12
Exceptional
11.3%
Immigrants from Lithuania
99.9
/100
|
#13
Exceptional
11.3%
Lithuanians
99.8
/100
|
#14
Exceptional
11.4%
Latvians
99.8
/100
|
#15
Exceptional
11.4%
Immigrants from Bolivia
99.8
/100
|
#16
Exceptional
11.5%
Bolivians
99.8
/100
|
#17
Exceptional
11.5%
Immigrants from Scotland
99.8
/100
|
#18
Exceptional
11.5%
Norwegians
99.8
/100
|
#19
Exceptional
11.5%

Bhutanese Female Poverty Correlation Summary

Measurement Bhutanese Data Female Poverty Data
Minimum 0.15% 2.5%
Maximum 68.2% 66.7%
Range 68.1% 64.2%
Mean 20.2% 11.1%
Median 17.9% 9.4%
Interquartile 25% (IQ1) 8.8% 7.2%
Interquartile 75% (IQ3) 31.3% 12.7%
Interquartile Range (IQR) 22.5% 5.6%
Standard Deviation (Sample) 14.1% 8.5%
Standard Deviation (Population) 14.0% 8.5%

Correlation Details

Bhutanese Percentile Sample Size Female Poverty
[
0.0%
-
0.5%
]
0.15%
234,318,204 15.3%
[
0.0%
-
0.5%
]
0.45%
107,559,933 13.2%
[
0.5%
-
1.0%
]
0.79%
39,851,486 11.9%
[
1.0%
-
1.5%
]
1.11%
26,468,098 12.6%
[
1.0%
-
1.5%
]
1.42%
13,506,547 10.1%
[
1.5%
-
2.0%
]
1.75%
10,868,457 10.0%
[
2.0%
-
2.5%
]
2.06%
6,204,380 9.4%
[
2.0%
-
2.5%
]
2.36%
4,687,759 9.4%
[
2.5%
-
3.0%
]
2.73%
2,632,121 9.0%
[
3.0%
-
3.5%
]
3.03%
1,546,003 9.3%
[
3.0%
-
3.5%
]
3.34%
1,240,638 10.1%
[
3.5%
-
4.0%
]
3.63%
903,239 9.7%
[
4.0%
-
4.5%
]
4.03%
110,642 15.5%
[
4.0%
-
4.5%
]
4.31%
619,358 7.2%
[
4.5%
-
5.0%
]
4.68%
169,286 7.1%
[
4.5%
-
5.0%
]
4.93%
285,413 8.4%
[
5.0%
-
5.5%
]
5.26%
159,740 8.3%
[
5.5%
-
6.0%
]
5.59%
166,737 7.2%
[
5.5%
-
6.0%
]
5.87%
35,904 7.6%
[
6.0%
-
6.5%
]
6.26%
98,821 12.1%
[
6.5%
-
7.0%
]
6.55%
104,693 11.9%
[
6.5%
-
7.0%
]
6.86%
35,168 13.2%
[
7.0%
-
7.5%
]
7.27%
52,758 15.0%
[
7.0%
-
7.5%
]
7.43%
66,296 8.0%
[
7.5%
-
8.0%
]
7.78%
44,050 11.6%
[
8.0%
-
8.5%
]
8.19%
39,291 11.4%
[
8.5%
-
9.0%
]
8.51%
78,822 10.3%
[
8.5%
-
9.0%
]
8.78%
22,527 7.6%
[
9.0%
-
9.5%
]
9.21%
150,315 12.3%
[
9.0%
-
9.5%
]
9.40%
58,328 11.3%
[
9.5%
-
10.0%
]
9.69%
50,021 12.0%
[
10.0%
-
10.5%
]
10.15%
36,641 9.9%
[
10.0%
-
10.5%
]
10.41%
101,047 17.1%
[
10.5%
-
11.0%
]
10.80%
109,561 6.2%
[
10.5%
-
11.0%
]
10.91%
3,345 9.6%
[
11.0%
-
11.5%
]
11.40%
51,425 10.8%
[
11.5%
-
12.0%
]
11.64%
28,629 15.9%
[
12.0%
-
12.5%
]
12.08%
44,828 6.7%
[
12.0%
-
12.5%
]
12.35%
69,323 11.5%
[
12.5%
-
13.0%
]
12.62%
63,412 12.2%
[
12.5%
-
13.0%
]
12.90%
22,560 9.6%
[
13.0%
-
13.5%
]
13.19%
9,534 8.6%
[
13.5%
-
14.0%
]
13.72%
172,306 8.9%
[
13.5%
-
14.0%
]
13.85%
917 16.4%
[
14.0%
-
14.5%
]
14.13%
73,439 13.0%
[
14.5%
-
15.0%
]
14.62%
20,803 14.2%
[
14.5%
-
15.0%
]
14.98%
14,299 13.1%
[
15.0%
-
15.5%
]
15.18%
560 2.8%
[
15.5%
-
16.0%
]
15.55%
30,266 5.9%
[
15.5%
-
16.0%
]
15.78%
12,785 5.9%
[
16.0%
-
16.5%
]
16.12%
76,992 8.0%
[
16.0%
-
16.5%
]
16.47%
16,263 7.4%
[
16.5%
-
17.0%
]
16.75%
3,386 8.8%
[
17.0%
-
17.5%
]
17.05%
49,187 9.0%
[
17.0%
-
17.5%
]
17.49%
142,903 6.9%
[
17.5%
-
18.0%
]
17.86%
52,772 9.3%
[
18.0%
-
18.5%
]
18.03%
5,080 19.0%
[
18.5%
-
19.0%
]
18.51%
16,703 12.7%
[
18.5%
-
19.0%
]
18.82%
7,498 16.1%
[
19.0%
-
19.5%
]
19.02%
105,792 10.0%
[
19.0%
-
19.5%
]
19.37%
28,551 9.3%
[
19.5%
-
20.0%
]
19.63%
36,642 4.2%
[
20.0%
-
20.5%
]
20.07%
58,985 5.9%
[
20.0%
-
20.5%
]
20.31%
11,522 17.1%
[
20.5%
-
21.0%
]
20.64%
29,810 6.6%
[
20.5%
-
21.0%
]
21.00%
25,091 9.2%
[
21.5%
-
22.0%
]
21.53%
17,604 8.3%
[
21.5%
-
22.0%
]
21.84%
38,891 10.6%
[
22.0%
-
22.5%
]
22.30%
20,473 7.2%
[
22.5%
-
23.0%
]
22.85%
15,911 7.4%
[
23.0%
-
23.5%
]
23.24%
340 13.0%
[
23.0%
-
23.5%
]
23.44%
61,785 14.5%
[
23.5%
-
24.0%
]
23.94%
32,036 12.5%
[
24.0%
-
24.5%
]
24.39%
21,592 19.8%
[
25.0%
-
25.5%
]
25.26%
289 2.5%
[
26.5%
-
27.0%
]
26.89%
348,547 11.8%
[
27.0%
-
27.5%
]
27.06%
6,246 6.6%
[
27.0%
-
27.5%
]
27.40%
24,520 7.5%
[
27.5%
-
28.0%
]
27.69%
2,438 13.4%
[
29.0%
-
29.5%
]
29.12%
30,068 16.3%
[
29.5%
-
30.0%
]
29.60%
8,649 6.5%
[
30.0%
-
30.5%
]
30.46%
2,896 13.6%
[
30.5%
-
31.0%
]
30.85%
50,453 14.9%
[
31.0%
-
31.5%
]
31.28%
227 9.1%
[
31.0%
-
31.5%
]
31.45%
1,313 25.9%
[
31.5%
-
32.0%
]
31.87%
47,627 15.2%
[
32.0%
-
32.5%
]
32.13%
22,723 13.5%
[
32.5%
-
33.0%
]
32.52%
3,887 4.2%
[
33.5%
-
34.0%
]
33.55%
25,957 11.1%
[
33.5%
-
34.0%
]
33.73%
2,188 4.8%
[
34.0%
-
34.5%
]
34.12%
25,771 9.5%
[
34.5%
-
35.0%
]
34.53%
55,402 5.1%
[
35.0%
-
35.5%
]
35.08%
13,932 8.6%
[
35.5%
-
36.0%
]
35.67%
45,038 10.8%
[
36.0%
-
36.5%
]
36.04%
55,888 6.9%
[
36.0%
-
36.5%
]
36.47%
34,001 4.0%
[
37.0%
-
37.5%
]
37.43%
9,571 3.6%
[
37.5%
-
38.0%
]
37.65%
50,793 7.6%
[
37.5%
-
38.0%
]
37.83%
3,902 8.1%
[
38.0%
-
38.5%
]
38.32%
51,598 4.7%
[
38.5%
-
39.0%
]
38.62%
35,493 8.4%
[
38.5%
-
39.0%
]
38.98%
49,491 4.5%
[
39.0%
-
39.5%
]
39.14%
41,748 6.6%
[
39.5%
-
40.0%
]
39.65%
29,490 4.1%
[
40.0%
-
40.5%
]
40.46%
54,362 3.7%
[
42.5%
-
43.0%
]
42.78%
18,802 5.4%
[
44.5%
-
45.0%
]
44.83%
21,546 2.5%
[
46.0%
-
46.5%
]
46.00%
50 61.4%
[
52.5%
-
53.0%
]
52.78%
144 66.7%
[
64.0%
-
64.5%
]
64.04%
292 6.1%
[
68.0%
-
68.5%
]
68.23%
277 32.4%