Burmese Female Poverty Among 25-34 Year Olds

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Female Poverty Among 25-34 Year Olds
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Burmese Female Poverty Among 25-34 Year Olds
Exceptional

11.2%
POVERTY | FEMALES 25-34
100.0/ 100
METRIC RATING
13th/ 347
METRIC RANK

Burmese Female Poverty Among 25-34 Year Olds Correlation Chart

The statistical analysis conducted on geographies consisting of 455,200,950 people shows a moderate negative correlation between the proportion of Burmese and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of -0.477 and weighted average of 11.2%. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.18% in poverty level among females between the ages 25 and 34.
Burmese Female Poverty Among 25-34 Year Olds
It is essential to understand that the correlation between the percentage of Burmese and poverty level among females between the ages 25 and 34 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 between the ages 25 and 34 within an area, or if Burmese simply ended up residing in those areas with higher or lower levels of poverty level among females between the ages 25 and 34 due to other factors.

Demographics Similar to Burmese by Female Poverty Among 25-34 Year Olds

In terms of female poverty among 25-34 year olds, the demographic groups most similar to Burmese are Indian (Asian) (11.2%, a difference of 0.010%), Immigrants from Ireland (11.2%, a difference of 0.11%), Assyrian/Chaldean/Syriac (11.2%, a difference of 0.11%), Immigrants from Bolivia (11.2%, a difference of 0.15%), and Immigrants from China (11.2%, a difference of 0.22%).
DemographicsRating | RankFemale Poverty Among 25-34 Year Olds
Immigrants from South Central Asia
100.0
/100
|
#6
Exceptional
10.8%
Chinese
100.0
/100
|
#7
Exceptional
11.0%
Immigrants from Iran
100.0
/100
|
#8
Exceptional
11.0%
Immigrants from Singapore
100.0
/100
|
#9
Exceptional
11.1%
Immigrants from Lithuania
100.0
/100
|
#10
Exceptional
11.1%
Immigrants from Korea
100.0
/100
|
#11
Exceptional
11.1%
Immigrants from Ireland
100.0
/100
|
#12
Exceptional
11.2%
Burmese
100.0
/100
|
#13
Exceptional
11.2%
Indians (Asian)
100.0
/100
|
#14
Exceptional
11.2%
Assyrians/Chaldeans/Syriacs
100.0
/100
|
#15
Exceptional
11.2%
Immigrants from Bolivia
100.0
/100
|
#16
Exceptional
11.2%
Immigrants from China
100.0
/100
|
#17
Exceptional
11.2%
Immigrants from Eastern Asia
100.0
/100
|
#18
Exceptional
11.2%
Iranians
100.0
/100
|
#19
Exceptional
11.2%
Okinawans
100.0
/100
|
#20
Exceptional
11.3%

Burmese Female Poverty Among 25-34 Year Olds Correlation Summary

MeasurementBurmese DataFemale Poverty Among 25-34 Year Olds Data
Minimum0.15%0.35%
Maximum53.9%17.0%
Range53.7%16.7%
Mean11.8%8.7%
Median9.8%9.1%
Interquartile 25% (IQ1)4.8%6.6%
Interquartile 75% (IQ3)15.0%11.3%
Interquartile Range (IQR)10.2%4.7%
Standard Deviation (Sample)10.2%3.9%
Standard Deviation (Population)10.1%3.9%

Correlation Details

Burmese PercentileSample SizeFemale Poverty Among 25-34 Year Olds
[
0.0%
-
0.5%
]
0.15%
191,026,26516.7%
[
0.0%
-
0.5%
]
0.45%
108,887,50913.5%
[
0.5%
-
1.0%
]
0.76%
50,998,73211.6%
[
1.0%
-
1.5%
]
1.07%
34,157,81411.7%
[
1.0%
-
1.5%
]
1.39%
17,059,89410.2%
[
1.5%
-
2.0%
]
1.70%
13,435,9809.3%
[
2.0%
-
2.5%
]
2.02%
8,222,3509.4%
[
2.0%
-
2.5%
]
2.32%
5,238,0799.1%
[
2.5%
-
3.0%
]
2.63%
3,701,1229.5%
[
2.5%
-
3.0%
]
2.94%
7,042,23512.3%
[
3.0%
-
3.5%
]
3.28%
2,222,2689.7%
[
3.5%
-
4.0%
]
3.60%
1,705,9178.7%
[
3.5%
-
4.0%
]
3.89%
1,453,4639.5%
[
4.0%
-
4.5%
]
4.20%
1,190,3209.3%
[
4.0%
-
4.5%
]
4.50%
983,5319.8%
[
4.5%
-
5.0%
]
4.83%
598,3319.1%
[
5.0%
-
5.5%
]
5.16%
918,4999.3%
[
5.0%
-
5.5%
]
5.43%
779,4028.6%
[
5.5%
-
6.0%
]
5.75%
260,7828.9%
[
6.0%
-
6.5%
]
6.11%
781,93210.3%
[
6.0%
-
6.5%
]
6.39%
279,96110.6%
[
6.5%
-
7.0%
]
6.73%
212,96117.0%
[
6.5%
-
7.0%
]
7.00%
222,9839.0%
[
7.0%
-
7.5%
]
7.38%
246,00210.9%
[
7.5%
-
8.0%
]
7.66%
127,10212.2%
[
7.5%
-
8.0%
]
7.86%
470,14911.3%
[
8.0%
-
8.5%
]
8.34%
71,72816.1%
[
8.5%
-
9.0%
]
8.61%
133,54512.4%
[
8.5%
-
9.0%
]
8.87%
265,2477.5%
[
9.0%
-
9.5%
]
9.19%
97,4537.5%
[
9.5%
-
10.0%
]
9.52%
136,3248.4%
[
9.5%
-
10.0%
]
9.75%
125,4186.2%
[
10.0%
-
10.5%
]
10.11%
119,8785.2%
[
10.0%
-
10.5%
]
10.47%
35,2202.3%
[
10.5%
-
11.0%
]
10.77%
210,2746.6%
[
11.0%
-
11.5%
]
11.03%
282,57812.4%
[
11.0%
-
11.5%
]
11.24%
36,2142.8%
[
11.5%
-
12.0%
]
11.58%
59,41015.9%
[
11.5%
-
12.0%
]
11.84%
47,0996.3%
[
12.0%
-
12.5%
]
12.24%
22,3398.7%
[
12.5%
-
13.0%
]
12.68%
253,93811.6%
[
13.0%
-
13.5%
]
13.04%
49,9559.2%
[
13.0%
-
13.5%
]
13.19%
229,9236.5%
[
13.5%
-
14.0%
]
13.57%
72,8599.8%
[
13.5%
-
14.0%
]
13.81%
93,82313.1%
[
14.0%
-
14.5%
]
14.44%
22,7236.8%
[
14.5%
-
15.0%
]
14.80%
134,2137.7%
[
15.0%
-
15.5%
]
15.04%
50,4190.77%
[
15.5%
-
16.0%
]
15.64%
15,5222.4%
[
16.0%
-
16.5%
]
16.02%
24,0441.4%
[
16.0%
-
16.5%
]
16.41%
20,09211.8%
[
16.5%
-
17.0%
]
16.79%
32,3442.2%
[
17.5%
-
18.0%
]
17.58%
5,4958.7%
[
21.0%
-
21.5%
]
21.01%
36,1519.1%
[
23.0%
-
23.5%
]
23.22%
23,5463.7%
[
23.0%
-
23.5%
]
23.48%
132,3799.0%
[
23.5%
-
24.0%
]
23.80%
22,9307.1%
[
25.5%
-
26.0%
]
25.72%
43,16914.5%
[
27.0%
-
27.5%
]
27.17%
9,2912.2%
[
27.0%
-
27.5%
]
27.45%
11,3140.35%
[
31.5%
-
32.0%
]
31.55%
5,8636.6%
[
46.0%
-
46.5%
]
46.33%
4,1851.2%
[
53.5%
-
54.0%
]
53.89%
40,4625.3%