Bangladeshi Seniors Poverty Over the Age of 75

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Seniors Poverty Over the Age of 75
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Bangladeshi Seniors Poverty Over the Age of 75
Good

12.0%
POVERTY | SENIORS > 75
70.4/ 100
METRIC RATING
146th/ 347
METRIC RANK

Bangladeshi Seniors Poverty Over the Age of 75 Correlation Chart

The statistical analysis conducted on geographies consisting of 140,437,796 people shows a poor positive correlation between the proportion of Bangladeshis and poverty level among seniors over the age of 75 in the United States with a correlation coefficient (R) of 0.146 and weighted average of 12.0%. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.13% in poverty level among seniors over the age of 75.
Bangladeshi Seniors Poverty Over the Age of 75
It is essential to understand that the correlation between the percentage of Bangladeshis and poverty level among seniors over the age of 75 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Bangladeshis influences an upward or downward trend in the level of poverty level among seniors over the age of 75 within an area, or if Bangladeshis simply ended up residing in those areas with higher or lower levels of poverty level among seniors over the age of 75 due to other factors.

Demographics Similar to Bangladeshis by Seniors Poverty Over the Age of 75

In terms of seniors poverty over the age of 75, the demographic groups most similar to Bangladeshis are Hmong (12.0%, a difference of 0.050%), Immigrants from Belgium (12.0%, a difference of 0.050%), American (12.0%, a difference of 0.060%), Immigrants from Laos (12.0%, a difference of 0.11%), and Immigrants from Latvia (12.0%, a difference of 0.12%).
DemographicsRating | RankSeniors Poverty Over the Age of 75
Immigrants from Kenya
72.6
/100
|
#139
Good
11.9%
Immigrants from Pakistan
71.9
/100
|
#140
Good
12.0%
Immigrants from Cameroon
71.7
/100
|
#141
Good
12.0%
Immigrants from Laos
71.5
/100
|
#142
Good
12.0%
Americans
71.0
/100
|
#143
Good
12.0%
Hmong
70.8
/100
|
#144
Good
12.0%
Immigrants from Belgium
70.8
/100
|
#145
Good
12.0%
Bangladeshis
70.4
/100
|
#146
Good
12.0%
Immigrants from Latvia
69.1
/100
|
#147
Good
12.0%
Immigrants from Zaire
67.6
/100
|
#148
Good
12.0%
Asians
67.4
/100
|
#149
Good
12.0%
Cypriots
67.3
/100
|
#150
Good
12.0%
Cherokee
65.8
/100
|
#151
Good
12.0%
Immigrants from Korea
65.5
/100
|
#152
Good
12.0%
Immigrants from Turkey
64.7
/100
|
#153
Good
12.0%

Bangladeshi Seniors Poverty Over the Age of 75 Correlation Summary

MeasurementBangladeshi DataSeniors Poverty Over the Age of 75 Data
Minimum0.061%2.3%
Maximum26.2%27.3%
Range26.1%24.9%
Mean9.1%12.5%
Median8.2%11.9%
Interquartile 25% (IQ1)4.1%9.7%
Interquartile 75% (IQ3)13.3%14.1%
Interquartile Range (IQR)9.2%4.3%
Standard Deviation (Sample)6.4%5.4%
Standard Deviation (Population)6.3%5.4%

Correlation Details

Bangladeshi PercentileSample SizeSeniors Poverty Over the Age of 75
[
0.0%
-
0.5%
]
0.061%
114,390,33913.0%
[
0.0%
-
0.5%
]
0.45%
8,569,77111.0%
[
0.5%
-
1.0%
]
0.80%
3,461,77210.9%
[
1.0%
-
1.5%
]
1.16%
1,818,35610.2%
[
1.0%
-
1.5%
]
1.45%
1,946,7139.8%
[
1.5%
-
2.0%
]
1.75%
2,101,62911.7%
[
2.0%
-
2.5%
]
2.04%
1,176,59813.6%
[
2.0%
-
2.5%
]
2.47%
678,71410.5%
[
2.5%
-
3.0%
]
2.73%
622,9878.3%
[
3.0%
-
3.5%
]
3.13%
470,66910.7%
[
3.0%
-
3.5%
]
3.47%
935,61811.9%
[
3.5%
-
4.0%
]
3.73%
324,62113.4%
[
4.0%
-
4.5%
]
4.10%
538,61411.2%
[
4.0%
-
4.5%
]
4.42%
290,99711.7%
[
4.5%
-
5.0%
]
4.77%
27,7958.6%
[
4.5%
-
5.0%
]
4.98%
761,34813.9%
[
5.0%
-
5.5%
]
5.48%
167,11613.4%
[
5.5%
-
6.0%
]
5.77%
106,49411.3%
[
6.0%
-
6.5%
]
6.12%
173,85411.6%
[
6.0%
-
6.5%
]
6.44%
59,40117.1%
[
6.5%
-
7.0%
]
6.76%
170,69616.8%
[
6.5%
-
7.0%
]
6.99%
50,48412.6%
[
7.0%
-
7.5%
]
7.32%
10,55722.5%
[
7.5%
-
8.0%
]
7.66%
37,98812.0%
[
7.5%
-
8.0%
]
7.92%
41,9337.4%
[
8.0%
-
8.5%
]
8.18%
52,88622.8%
[
8.5%
-
9.0%
]
8.53%
11,34919.4%
[
9.0%
-
9.5%
]
9.03%
148,36910.5%
[
9.0%
-
9.5%
]
9.40%
46,0067.4%
[
9.5%
-
10.0%
]
9.63%
135,08213.1%
[
9.5%
-
10.0%
]
9.96%
134,2056.6%
[
10.0%
-
10.5%
]
10.34%
59,6567.0%
[
10.5%
-
11.0%
]
10.72%
70,82714.1%
[
10.5%
-
11.0%
]
10.85%
31,29212.0%
[
11.0%
-
11.5%
]
11.27%
308,80614.8%
[
11.5%
-
12.0%
]
11.89%
32,91212.6%
[
12.5%
-
13.0%
]
12.59%
2,20815.3%
[
12.5%
-
13.0%
]
12.76%
84,9516.6%
[
13.0%
-
13.5%
]
13.26%
2,0064.3%
[
13.0%
-
13.5%
]
13.48%
13,4593.7%
[
13.5%
-
14.0%
]
13.86%
95,31012.1%
[
14.5%
-
15.0%
]
14.91%
9323.2%
[
15.0%
-
15.5%
]
15.04%
13,11621.8%
[
15.0%
-
15.5%
]
15.39%
132,0609.7%
[
15.5%
-
16.0%
]
15.74%
21623.1%
[
16.0%
-
16.5%
]
16.48%
6,79014.2%
[
16.5%
-
17.0%
]
16.66%
34,2208.6%
[
18.0%
-
18.5%
]
18.23%
7,58127.3%
[
24.5%
-
25.0%
]
24.55%
1,2182.3%
[
25.5%
-
26.0%
]
25.55%
57,66213.7%
[
26.0%
-
26.5%
]
26.16%
19,61325.7%