Aleut 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

Aleut Female Poverty Among 25-34 Year Olds
Tragic

16.1%
POVERTY | FEMALES 25-34
0.0/ 100
METRIC RATING
282nd/ 347
METRIC RANK

Aleut Female Poverty Among 25-34 Year Olds Correlation Chart

The statistical analysis conducted on geographies consisting of 61,505,480 people shows a substantial positive correlation between the proportion of Aleuts and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.566 and weighted average of 16.1%. On average, for every 1% (one percent) increase in Aleuts within a typical geography, there is an increase of 0.42% in poverty level among females between the ages 25 and 34.
Aleut Female Poverty Among 25-34 Year Olds
It is essential to understand that the correlation between the percentage of Aleuts 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 Aleuts 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 Aleuts 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 Aleuts by Female Poverty Among 25-34 Year Olds

In terms of female poverty among 25-34 year olds, the demographic groups most similar to Aleuts are Bahamian (16.1%, a difference of 0.030%), Immigrants from Latin America (16.0%, a difference of 0.66%), Shoshone (16.2%, a difference of 0.87%), Bangladeshi (15.9%, a difference of 1.2%), and French American Indian (15.9%, a difference of 1.3%).
DemographicsRating | RankFemale Poverty Among 25-34 Year Olds
Immigrants from the Azores
0.0
/100
|
#275
Tragic
15.8%
Immigrants from Zaire
0.0
/100
|
#276
Tragic
15.8%
Immigrants from Micronesia
0.0
/100
|
#277
Tragic
15.8%
French American Indians
0.0
/100
|
#278
Tragic
15.9%
Fijians
0.0
/100
|
#279
Tragic
15.9%
Bangladeshis
0.0
/100
|
#280
Tragic
15.9%
Immigrants from Latin America
0.0
/100
|
#281
Tragic
16.0%
Aleuts
0.0
/100
|
#282
Tragic
16.1%
Bahamians
0.0
/100
|
#283
Tragic
16.1%
Shoshone
0.0
/100
|
#284
Tragic
16.2%
Immigrants from Bahamas
0.0
/100
|
#285
Tragic
16.3%
Cape Verdeans
0.0
/100
|
#286
Tragic
16.3%
Americans
0.0
/100
|
#287
Tragic
16.4%
Guatemalans
0.0
/100
|
#288
Tragic
16.4%
Osage
0.0
/100
|
#289
Tragic
16.4%

Aleut Female Poverty Among 25-34 Year Olds Correlation Summary

MeasurementAleut DataFemale Poverty Among 25-34 Year Olds Data
Minimum0.022%1.6%
Maximum96.4%100.0%
Range96.4%98.4%
Mean37.1%29.4%
Median25.3%18.7%
Interquartile 25% (IQ1)4.6%14.2%
Interquartile 75% (IQ3)71.6%44.1%
Interquartile Range (IQR)67.0%29.8%
Standard Deviation (Sample)34.2%25.6%
Standard Deviation (Population)33.7%25.2%

Correlation Details

Aleut PercentileSample SizeFemale Poverty Among 25-34 Year Olds
[
0.0%
-
0.5%
]
0.022%
60,310,08114.2%
[
0.5%
-
1.0%
]
0.73%
328,81817.7%
[
1.0%
-
1.5%
]
1.22%
184,49815.4%
[
1.5%
-
2.0%
]
1.80%
466,50611.7%
[
2.0%
-
2.5%
]
2.12%
86,10316.7%
[
2.5%
-
3.0%
]
2.72%
45,37410.5%
[
3.0%
-
3.5%
]
3.28%
15,05421.5%
[
3.5%
-
4.0%
]
3.71%
16,34419.7%
[
4.5%
-
5.0%
]
4.59%
12,62014.2%
[
5.5%
-
6.0%
]
5.65%
2,77744.1%
[
6.0%
-
6.5%
]
6.33%
96439.4%
[
7.5%
-
8.0%
]
7.61%
10,3516.2%
[
9.0%
-
9.5%
]
9.38%
12,61815.2%
[
10.5%
-
11.0%
]
10.62%
22625.0%
[
18.0%
-
18.5%
]
18.16%
4,68021.3%
[
19.0%
-
19.5%
]
19.32%
3831.7%
[
21.0%
-
21.5%
]
21.05%
83613.8%
[
29.5%
-
30.0%
]
29.65%
4521.6%
[
34.0%
-
34.5%
]
34.47%
23517.2%
[
35.0%
-
35.5%
]
35.19%
10860.0%
[
43.5%
-
44.0%
]
43.70%
2,0964.5%
[
52.5%
-
53.0%
]
52.71%
2,21648.8%
[
62.5%
-
63.0%
]
62.58%
31016.7%
[
68.5%
-
69.0%
]
68.70%
11523.1%
[
71.0%
-
71.5%
]
71.43%
12671.4%
[
71.5%
-
72.0%
]
71.58%
9520.0%
[
75.5%
-
76.0%
]
75.56%
9020.0%
[
79.0%
-
79.5%
]
79.08%
69812.5%
[
80.5%
-
81.0%
]
80.56%
14416.7%
[
81.0%
-
81.5%
]
81.18%
17066.7%
[
83.5%
-
84.0%
]
83.80%
14287.5%
[
85.0%
-
85.5%
]
85.00%
80100.0%
[
91.0%
-
91.5%
]
91.23%
11475.0%
[
96.0%
-
96.5%
]
96.43%
5650.0%