Immigrants from South Central Asia Male Poverty

The statistical analysis conducted on geographies consisting of 472,354,703 people shows a significant negative correlation between the proportion of Immigrants from South Central Asia and poverty level among males in the United States with a correlation coefficient (R) of -0.620 and weighted average of 9.3%. On average, for every 1% (one percent) increase in Immigrants from South Central Asia within a typical geography, there is a decrease of 0.18% in poverty level among males.

It is essential to understand that the correlation between the percentage of Immigrants from South Central Asia and poverty level among males does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from South Central Asia influences an upward or downward trend in the level of poverty level among males within an area, or if Immigrants from South Central Asia simply ended up residing in those areas with higher or lower levels of poverty level among males due to other factors.

Demographics Similar to Immigrants from South Central Asia by Male Poverty

In terms of male poverty, the demographic groups most similar to Immigrants from South Central Asia are Bulgarian (9.3%, a difference of 0.56%), Filipino (9.2%, a difference of 0.79%), Bolivian (9.4%, a difference of 1.2%), Immigrants from Bolivia (9.4%, a difference of 1.3%), and Immigrants from Lithuania (9.4%, a difference of 1.4%).

Demographics	Rating \| Rank	Male Poverty
Chinese	100.0 /100 \| #2	Exceptional 8.7%
Thais	100.0 /100 \| #3	Exceptional 8.7%
Immigrants from Taiwan	100.0 /100 \| #4	Exceptional 8.9%
Maltese	100.0 /100 \| #5	Exceptional 9.1%
Assyrians/Chaldeans/Syriacs	99.9 /100 \| #6	Exceptional 9.1%
Immigrants from Ireland	99.9 /100 \| #7	Exceptional 9.1%
Filipinos	99.9 /100 \| #8	Exceptional 9.2%
Immigrants from South Central Asia	99.9 /100 \| #9	Exceptional 9.3%
Bulgarians	99.9 /100 \| #10	Exceptional 9.3%
Bolivians	99.9 /100 \| #11	Exceptional 9.4%
Immigrants from Bolivia	99.9 /100 \| #12	Exceptional 9.4%
Immigrants from Lithuania	99.9 /100 \| #13	Exceptional 9.4%
Immigrants from North Macedonia	99.8 /100 \| #14	Exceptional 9.4%
Bhutanese	99.8 /100 \| #15	Exceptional 9.5%
Luxembourgers	99.8 /100 \| #16	Exceptional 9.5%

Immigrants from South Central Asia Male Poverty Correlation Summary

Measurement	Immigrants from South Central Asia Data	Male Poverty Data
Minimum	0.11%	0.33%
Maximum	38.8%	14.4%
Range	38.7%	14.0%
Mean	15.3%	6.6%
Median	14.1%	6.2%
Interquartile 25% (IQ1)	7.1%	4.6%
Interquartile 75% (IQ3)	21.7%	8.4%
Interquartile Range (IQR)	14.7%	3.8%
Standard Deviation (Sample)	10.0%	3.0%
Standard Deviation (Population)	10.0%	3.0%

Correlation Details

Immigrants from South Central Asia Percentile	Sample Size	Male Poverty
[ 0.0% - 0.5% ] 0.11%	90,347,299	13.2%
[ 0.0% - 0.5% ] 0.32%	68,667,449	12.4%
[ 0.5% - 1.0% ] 0.54%	49,012,418	12.1%
[ 0.5% - 1.0% ] 0.76%	41,218,504	12.3%
[ 0.5% - 1.0% ] 0.97%	30,031,373	12.3%
[ 1.0% - 1.5% ] 1.18%	25,056,839	10.8%
[ 1.0% - 1.5% ] 1.41%	24,190,080	12.1%
[ 1.5% - 2.0% ] 1.63%	12,999,979	9.9%
[ 1.5% - 2.0% ] 1.85%	13,781,551	11.0%
[ 2.0% - 2.5% ] 2.06%	10,304,890	10.5%
[ 2.0% - 2.5% ] 2.27%	9,910,140	9.4%
[ 2.0% - 2.5% ] 2.45%	11,774,741	11.9%
[ 2.5% - 3.0% ] 2.70%	8,781,548	10.3%
[ 2.5% - 3.0% ] 2.94%	4,632,877	9.0%
[ 3.0% - 3.5% ] 3.15%	5,813,104	10.2%
[ 3.0% - 3.5% ] 3.34%	13,240,439	13.0%
[ 3.5% - 4.0% ] 3.58%	3,927,511	8.6%
[ 3.5% - 4.0% ] 3.79%	3,253,033	6.8%
[ 4.0% - 4.5% ] 4.01%	3,222,351	8.6%
[ 4.0% - 4.5% ] 4.22%	3,507,962	8.2%
[ 4.0% - 4.5% ] 4.45%	2,570,007	7.6%
[ 4.5% - 5.0% ] 4.65%	2,018,350	8.9%
[ 4.5% - 5.0% ] 4.89%	1,951,992	9.3%
[ 5.0% - 5.5% ] 5.09%	2,215,288	6.6%
[ 5.0% - 5.5% ] 5.32%	1,893,872	6.5%
[ 5.5% - 6.0% ] 5.53%	1,170,261	7.2%
[ 5.5% - 6.0% ] 5.75%	1,428,935	8.6%
[ 5.5% - 6.0% ] 5.97%	1,356,897	7.4%
[ 6.0% - 6.5% ] 6.19%	1,059,871	8.2%
[ 6.0% - 6.5% ] 6.37%	733,955	7.0%
[ 6.5% - 7.0% ] 6.64%	1,860,312	8.5%
[ 6.5% - 7.0% ] 6.82%	754,803	6.8%
[ 7.0% - 7.5% ] 7.06%	788,255	7.4%
[ 7.0% - 7.5% ] 7.24%	486,166	5.5%
[ 7.0% - 7.5% ] 7.48%	597,473	5.6%
[ 7.5% - 8.0% ] 7.69%	565,706	7.2%
[ 7.5% - 8.0% ] 7.94%	554,475	7.1%
[ 8.0% - 8.5% ] 8.13%	392,474	8.8%
[ 8.0% - 8.5% ] 8.34%	1,170,614	7.6%
[ 8.5% - 9.0% ] 8.55%	831,209	8.1%
[ 8.5% - 9.0% ] 8.77%	729,360	7.0%
[ 8.5% - 9.0% ] 8.96%	417,924	7.4%
[ 9.0% - 9.5% ] 9.22%	717,497	6.0%
[ 9.0% - 9.5% ] 9.41%	359,853	7.7%
[ 9.5% - 10.0% ] 9.67%	556,057	7.5%
[ 9.5% - 10.0% ] 9.86%	410,654	11.2%
[ 10.0% - 10.5% ] 10.06%	516,387	6.0%
[ 10.0% - 10.5% ] 10.33%	806,876	6.2%
[ 10.5% - 11.0% ] 10.53%	315,843	5.0%
[ 10.5% - 11.0% ] 10.72%	178,240	7.3%
[ 10.5% - 11.0% ] 10.92%	616,020	11.1%
[ 11.0% - 11.5% ] 11.14%	163,662	7.4%
[ 11.0% - 11.5% ] 11.41%	159,736	5.0%
[ 11.5% - 12.0% ] 11.62%	619,845	5.1%
[ 11.5% - 12.0% ] 11.79%	531,443	5.6%
[ 12.0% - 12.5% ] 12.09%	258,290	6.3%
[ 12.0% - 12.5% ] 12.29%	269,322	7.8%
[ 12.0% - 12.5% ] 12.48%	474,103	5.0%
[ 12.5% - 13.0% ] 12.67%	251,228	4.7%
[ 12.5% - 13.0% ] 12.93%	186,675	5.6%
[ 13.0% - 13.5% ] 13.12%	182,626	4.7%
[ 13.0% - 13.5% ] 13.30%	223,300	6.1%
[ 13.5% - 14.0% ] 13.55%	181,618	4.3%
[ 13.5% - 14.0% ] 13.77%	413,804	7.3%
[ 13.5% - 14.0% ] 14.00%	50,575	7.6%
[ 14.0% - 14.5% ] 14.20%	67,388	4.7%
[ 14.0% - 14.5% ] 14.44%	134,788	5.5%
[ 14.5% - 15.0% ] 14.66%	332,921	11.1%
[ 14.5% - 15.0% ] 14.82%	63,656	7.6%
[ 15.0% - 15.5% ] 15.29%	82,660	4.4%
[ 15.0% - 15.5% ] 15.45%	264,144	5.8%
[ 15.5% - 16.0% ] 15.74%	159,820	6.0%
[ 15.5% - 16.0% ] 15.94%	132,103	5.9%
[ 16.0% - 16.5% ] 16.16%	254,593	5.1%
[ 16.0% - 16.5% ] 16.42%	112,519	5.9%
[ 16.5% - 17.0% ] 16.56%	113,686	5.2%
[ 16.5% - 17.0% ] 16.89%	180,194	3.3%
[ 17.0% - 17.5% ] 17.08%	22,030	6.5%
[ 17.0% - 17.5% ] 17.23%	272,834	4.1%
[ 17.5% - 18.0% ] 17.73%	215,024	6.8%
[ 17.5% - 18.0% ] 17.83%	131,679	11.9%
[ 18.0% - 18.5% ] 18.37%	6,272	1.1%
[ 18.5% - 19.0% ] 18.56%	30,149	5.0%
[ 18.5% - 19.0% ] 18.81%	153,344	4.4%
[ 19.0% - 19.5% ] 19.03%	129,604	4.2%
[ 19.0% - 19.5% ] 19.20%	149,814	9.3%
[ 19.0% - 19.5% ] 19.42%	11,603	2.4%
[ 19.5% - 20.0% ] 19.69%	13,297	3.0%
[ 19.5% - 20.0% ] 19.77%	21,152	3.4%
[ 20.0% - 20.5% ] 20.01%	51,902	5.0%
[ 20.0% - 20.5% ] 20.33%	22,831	9.1%
[ 20.5% - 21.0% ] 20.51%	68,761	4.6%
[ 20.5% - 21.0% ] 20.77%	33,513	11.0%
[ 20.5% - 21.0% ] 20.92%	14,804	2.8%
[ 21.0% - 21.5% ] 21.09%	127,930	14.4%
[ 21.0% - 21.5% ] 21.36%	210,788	5.4%
[ 21.5% - 22.0% ] 21.54%	1,207	0.33%
[ 21.5% - 22.0% ] 21.72%	24,229	4.4%
[ 21.5% - 22.0% ] 21.98%	74,839	6.1%
[ 22.5% - 23.0% ] 22.57%	228,795	4.6%
[ 22.5% - 23.0% ] 23.00%	64,268	12.5%
[ 23.0% - 23.5% ] 23.28%	37,671	3.3%
[ 23.5% - 24.0% ] 23.60%	88,402	4.3%
[ 23.5% - 24.0% ] 23.79%	50,125	5.3%
[ 24.0% - 24.5% ] 24.06%	22,796	1.1%
[ 24.5% - 25.0% ] 24.58%	38,567	4.4%
[ 24.5% - 25.0% ] 24.81%	37,194	7.5%
[ 25.0% - 25.5% ] 25.00%	312	1.2%
[ 25.0% - 25.5% ] 25.19%	53,464	2.9%
[ 25.5% - 26.0% ] 25.72%	5,206	4.0%
[ 25.5% - 26.0% ] 25.98%	42,903	3.3%
[ 26.0% - 26.5% ] 26.16%	44,127	5.5%
[ 27.0% - 27.5% ] 27.46%	5,018	6.4%
[ 27.5% - 28.0% ] 27.96%	15,702	7.6%
[ 28.5% - 29.0% ] 28.55%	802	3.6%
[ 29.0% - 29.5% ] 29.17%	3,695	6.7%
[ 29.5% - 30.0% ] 29.66%	5,867	4.0%
[ 30.0% - 30.5% ] 30.21%	18,068	2.5%
[ 30.5% - 31.0% ] 30.78%	2,560	3.6%
[ 31.5% - 32.0% ] 31.85%	16,722	1.7%
[ 33.0% - 33.5% ] 33.22%	20,264	3.0%
[ 33.5% - 34.0% ] 33.51%	37,689	5.1%
[ 34.5% - 35.0% ] 34.92%	733	8.4%
[ 35.0% - 35.5% ] 35.50%	20,693	2.2%
[ 35.5% - 36.0% ] 35.86%	15,585	2.6%
[ 36.0% - 36.5% ] 36.48%	2,300	2.5%
[ 36.5% - 37.0% ] 36.72%	1,999	0.74%
[ 37.0% - 37.5% ] 37.40%	44,570	6.1%
[ 37.5% - 38.0% ] 37.56%	39,565	3.8%
[ 38.5% - 39.0% ] 38.78%	37,022	5.9%

Immigrants from South Central Asia Male Poverty

COMPARE

Immigrants from South Central Asia Male PovertyExceptional

Immigrants from South Central Asia Male Poverty Correlation Chart

Demographics Similar to Immigrants from South Central Asia by Male Poverty

Immigrants from South Central Asia Male Poverty Correlation Summary

Correlation Details

Immigrants from South Central Asia Male Poverty
Exceptional