Burmese Female Poverty

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Burmese
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 IndianBulgarianCajunCambodianCanadianCape 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

Burmese Female Poverty
Exceptional

11.6%
POVERTY | FEMALES
99.7/ 100
METRIC RATING
23rd/ 347
METRIC RANK

Burmese Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 464,783,365 people shows a weak positive correlation between the proportion of Burmese and poverty level among females in the United States with a correlation coefficient (R) of 0.276 and weighted average of 11.6%. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.22% in poverty level among females.
Burmese Female Poverty
It is essential to understand that the correlation between the percentage of Burmese and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Burmese influences an upward or downward trend in the level of poverty level among females within an area, or if Burmese simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.

Demographics Similar to Burmese by Female Poverty

In terms of female poverty, the demographic groups most similar to Burmese are Luxembourger (11.6%, a difference of 0.020%), Swedish (11.6%, a difference of 0.14%), Italian (11.6%, a difference of 0.17%), Immigrants from Northern Europe (11.6%, a difference of 0.28%), and Croatian (11.6%, a difference of 0.29%).
DemographicsRating | RankFemale Poverty
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%
Eastern Europeans
99.7
/100
|
#20
Exceptional
11.5%
Italians
99.7
/100
|
#21
Exceptional
11.6%
Swedes
99.7
/100
|
#22
Exceptional
11.6%
Burmese
99.7
/100
|
#23
Exceptional
11.6%
Luxembourgers
99.7
/100
|
#24
Exceptional
11.6%
Immigrants from Northern Europe
99.6
/100
|
#25
Exceptional
11.6%
Croatians
99.6
/100
|
#26
Exceptional
11.6%
Iranians
99.6
/100
|
#27
Exceptional
11.7%
Immigrants from Korea
99.6
/100
|
#28
Exceptional
11.7%
Immigrants from North Macedonia
99.6
/100
|
#29
Exceptional
11.7%
Greeks
99.5
/100
|
#30
Exceptional
11.7%

Burmese Female Poverty Correlation Summary

MeasurementBurmese DataFemale Poverty Data
Minimum0.15%1.7%
Maximum62.3%48.2%
Range62.1%46.5%
Mean14.8%11.4%
Median12.0%9.3%
Interquartile 25% (IQ1)6.1%6.5%
Interquartile 75% (IQ3)21.0%11.9%
Interquartile Range (IQR)14.9%5.5%
Standard Deviation (Sample)12.2%9.7%
Standard Deviation (Population)12.1%9.6%

Correlation Details

Burmese PercentileSample SizeFemale Poverty
[
0.0%
-
0.5%
]
0.15%
193,532,04515.8%
[
0.0%
-
0.5%
]
0.45%
110,945,03213.6%
[
0.5%
-
1.0%
]
0.76%
52,501,55411.9%
[
1.0%
-
1.5%
]
1.07%
35,002,78712.7%
[
1.0%
-
1.5%
]
1.39%
17,642,53610.4%
[
1.5%
-
2.0%
]
1.70%
13,790,0839.9%
[
2.0%
-
2.5%
]
2.02%
8,489,44410.2%
[
2.0%
-
2.5%
]
2.32%
5,480,8689.9%
[
2.5%
-
3.0%
]
2.63%
3,864,4829.8%
[
2.5%
-
3.0%
]
2.94%
7,181,89114.0%
[
3.0%
-
3.5%
]
3.28%
2,328,5749.3%
[
3.5%
-
4.0%
]
3.60%
1,781,1918.7%
[
3.5%
-
4.0%
]
3.89%
1,523,9199.8%
[
4.0%
-
4.5%
]
4.20%
1,246,36011.0%
[
4.5%
-
5.0%
]
4.50%
1,055,7149.0%
[
4.5%
-
5.0%
]
4.83%
647,6349.5%
[
5.0%
-
5.5%
]
5.17%
987,7008.0%
[
5.0%
-
5.5%
]
5.43%
800,6169.4%
[
5.5%
-
6.0%
]
5.74%
306,9097.4%
[
6.0%
-
6.5%
]
6.11%
788,5719.3%
[
6.0%
-
6.5%
]
6.37%
337,48010.4%
[
6.5%
-
7.0%
]
6.73%
235,76810.5%
[
6.5%
-
7.0%
]
6.99%
240,2016.3%
[
7.0%
-
7.5%
]
7.38%
248,20811.8%
[
7.5%
-
8.0%
]
7.66%
133,07111.2%
[
7.5%
-
8.0%
]
7.87%
474,37811.6%
[
8.0%
-
8.5%
]
8.33%
94,73210.1%
[
8.5%
-
9.0%
]
8.61%
134,22413.9%
[
8.5%
-
9.0%
]
8.87%
266,9886.6%
[
9.0%
-
9.5%
]
9.19%
100,0518.4%
[
9.5%
-
10.0%
]
9.52%
145,5088.4%
[
9.5%
-
10.0%
]
9.75%
130,7836.2%
[
10.0%
-
10.5%
]
10.11%
119,9667.6%
[
10.0%
-
10.5%
]
10.47%
35,8404.1%
[
10.5%
-
11.0%
]
10.77%
213,1906.8%
[
11.0%
-
11.5%
]
11.03%
282,57813.8%
[
11.0%
-
11.5%
]
11.27%
40,9146.5%
[
11.5%
-
12.0%
]
11.58%
59,41019.8%
[
11.5%
-
12.0%
]
11.85%
51,3676.9%
[
12.0%
-
12.5%
]
12.22%
27,7744.3%
[
12.5%
-
13.0%
]
12.68%
258,95011.7%
[
13.0%
-
13.5%
]
13.04%
49,9557.7%
[
13.0%
-
13.5%
]
13.19%
233,9879.2%
[
13.5%
-
14.0%
]
13.57%
72,8599.0%
[
13.5%
-
14.0%
]
13.81%
93,82321.1%
[
14.0%
-
14.5%
]
14.44%
22,72313.5%
[
14.5%
-
15.0%
]
14.80%
152,6398.3%
[
15.0%
-
15.5%
]
15.04%
50,4194.3%
[
15.0%
-
15.5%
]
15.28%
74631.3%
[
15.5%
-
16.0%
]
15.71%
25,3824.4%
[
16.0%
-
16.5%
]
16.02%
24,0443.7%
[
16.0%
-
16.5%
]
16.41%
20,0927.3%
[
16.5%
-
17.0%
]
16.79%
32,3445.0%
[
17.0%
-
17.5%
]
17.38%
30,6852.2%
[
17.5%
-
18.0%
]
17.58%
5,4953.4%
[
18.0%
-
18.5%
]
18.18%
4413.0%
[
19.5%
-
20.0%
]
19.71%
10,6943.1%
[
20.0%
-
20.5%
]
20.45%
28,9848.6%
[
21.0%
-
21.5%
]
21.01%
39,04912.3%
[
22.0%
-
22.5%
]
22.02%
10945.6%
[
22.0%
-
22.5%
]
22.41%
1168.8%
[
23.0%
-
23.5%
]
23.22%
23,5464.5%
[
23.0%
-
23.5%
]
23.48%
133,51811.1%
[
23.5%
-
24.0%
]
23.80%
22,9304.6%
[
24.5%
-
25.0%
]
24.51%
17,1106.5%
[
24.5%
-
25.0%
]
24.71%
37,75429.7%
[
25.5%
-
26.0%
]
25.72%
43,16917.4%
[
26.0%
-
26.5%
]
26.32%
384.2%
[
26.5%
-
27.0%
]
26.53%
4944.0%
[
27.0%
-
27.5%
]
27.19%
18,5644.6%
[
27.0%
-
27.5%
]
27.45%
11,3143.5%
[
31.0%
-
31.5%
]
31.17%
32447.5%
[
31.5%
-
32.0%
]
31.55%
5,8631.7%
[
38.5%
-
39.0%
]
38.87%
6025.1%
[
39.5%
-
40.0%
]
39.89%
3513.2%
[
46.0%
-
46.5%
]
46.33%
4,1859.7%
[
53.5%
-
54.0%
]
53.89%
40,46212.8%
[
62.0%
-
62.5%
]
62.26%
10648.2%