Immigrants from South Central Asia Female Poverty

The statistical analysis conducted on geographies consisting of 472,522,923 people shows a substantial negative correlation between the proportion of Immigrants from South Central Asia and poverty level among females in the United States with a correlation coefficient (R) of -0.588 and weighted average of 11.1%. On average, for every 1% (one percent) increase in Immigrants from South Central Asia within a typical geography, there is a decrease of 0.21% in poverty level among females.

It is essential to understand that the correlation between the percentage of Immigrants from South Central Asia and poverty level among females 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 females 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 females due to other factors.

Demographics Similar to Immigrants from South Central Asia by Female Poverty

In terms of female poverty, the demographic groups most similar to Immigrants from South Central Asia are Bulgarian (11.1%, a difference of 0.19%), Assyrian/Chaldean/Syriac (11.0%, a difference of 0.70%), Immigrants from Hong Kong (11.2%, a difference of 0.99%), Immigrants from Ireland (11.0%, a difference of 1.1%), and Maltese (11.2%, a difference of 1.1%).

Demographics	Rating \| Rank	Female Poverty
Immigrants from India	100.0 /100 \| #1	Exceptional 9.9%
Chinese	100.0 /100 \| #2	Exceptional 10.4%
Thais	100.0 /100 \| #3	Exceptional 10.5%
Immigrants from Taiwan	100.0 /100 \| #4	Exceptional 10.5%
Filipinos	100.0 /100 \| #5	Exceptional 10.9%
Immigrants from Ireland	99.9 /100 \| #6	Exceptional 11.0%
Assyrians/Chaldeans/Syriacs	99.9 /100 \| #7	Exceptional 11.0%
Immigrants from South Central Asia	99.9 /100 \| #8	Exceptional 11.1%
Bulgarians	99.9 /100 \| #9	Exceptional 11.1%
Immigrants from Hong Kong	99.9 /100 \| #10	Exceptional 11.2%
Maltese	99.9 /100 \| #11	Exceptional 11.2%
Bhutanese	99.9 /100 \| #12	Exceptional 11.3%
Immigrants from Lithuania	99.9 /100 \| #13	Exceptional 11.3%
Lithuanians	99.8 /100 \| #14	Exceptional 11.4%
Latvians	99.8 /100 \| #15	Exceptional 11.4%

Immigrants from South Central Asia Female Poverty Correlation Summary

Measurement	Immigrants from South Central Asia Data	Female Poverty Data
Minimum	0.11%	0.46%
Maximum	39.4%	16.5%
Range	39.3%	16.1%
Mean	15.6%	8.1%
Median	14.4%	7.9%
Interquartile 25% (IQ1)	7.2%	5.5%
Interquartile 75% (IQ3)	22.3%	10.0%
Interquartile Range (IQR)	15.1%	4.5%
Standard Deviation (Sample)	10.3%	3.6%
Standard Deviation (Population)	10.2%	3.6%

Correlation Details

Immigrants from South Central Asia Percentile	Sample Size	Female Poverty
[ 0.0% - 0.5% ] 0.11%	90,365,959	15.9%
[ 0.0% - 0.5% ] 0.32%	68,686,439	14.8%
[ 0.5% - 1.0% ] 0.54%	49,026,431	14.5%
[ 0.5% - 1.0% ] 0.76%	41,213,156	14.6%
[ 0.5% - 1.0% ] 0.97%	30,048,594	14.4%
[ 1.0% - 1.5% ] 1.18%	25,071,255	12.9%
[ 1.0% - 1.5% ] 1.41%	24,197,098	14.5%
[ 1.5% - 2.0% ] 1.63%	13,020,808	11.9%
[ 1.5% - 2.0% ] 1.85%	13,785,306	13.5%
[ 2.0% - 2.5% ] 2.06%	10,300,845	12.5%
[ 2.0% - 2.5% ] 2.27%	9,910,013	11.3%
[ 2.0% - 2.5% ] 2.45%	11,773,558	14.1%
[ 2.5% - 3.0% ] 2.70%	8,785,535	12.2%
[ 2.5% - 3.0% ] 2.94%	4,635,856	10.9%
[ 3.0% - 3.5% ] 3.15%	5,808,397	11.8%
[ 3.0% - 3.5% ] 3.34%	13,239,443	15.3%
[ 3.5% - 4.0% ] 3.58%	3,925,648	10.3%
[ 3.5% - 4.0% ] 3.79%	3,270,102	8.6%
[ 4.0% - 4.5% ] 4.01%	3,216,511	10.2%
[ 4.0% - 4.5% ] 4.22%	3,511,281	9.3%
[ 4.0% - 4.5% ] 4.45%	2,569,846	9.0%
[ 4.5% - 5.0% ] 4.65%	2,018,350	9.8%
[ 4.5% - 5.0% ] 4.89%	1,951,992	11.2%
[ 5.0% - 5.5% ] 5.09%	2,223,251	8.4%
[ 5.0% - 5.5% ] 5.32%	1,893,872	8.1%
[ 5.5% - 6.0% ] 5.53%	1,183,921	8.6%
[ 5.5% - 6.0% ] 5.75%	1,432,671	9.9%
[ 5.5% - 6.0% ] 5.97%	1,357,214	9.2%
[ 6.0% - 6.5% ] 6.19%	1,060,282	9.9%
[ 6.0% - 6.5% ] 6.37%	735,197	8.6%
[ 6.5% - 7.0% ] 6.64%	1,861,904	10.1%
[ 6.5% - 7.0% ] 6.82%	753,152	8.4%
[ 7.0% - 7.5% ] 7.06%	788,130	9.0%
[ 7.0% - 7.5% ] 7.24%	485,426	7.3%
[ 7.0% - 7.5% ] 7.48%	597,446	6.6%
[ 7.5% - 8.0% ] 7.69%	565,048	8.9%
[ 7.5% - 8.0% ] 7.94%	551,815	8.6%
[ 8.0% - 8.5% ] 8.13%	395,200	9.1%
[ 8.0% - 8.5% ] 8.34%	1,170,614	8.5%
[ 8.5% - 9.0% ] 8.55%	831,629	9.3%
[ 8.5% - 9.0% ] 8.77%	729,360	8.0%
[ 8.5% - 9.0% ] 8.96%	417,924	9.6%
[ 9.0% - 9.5% ] 9.22%	718,541	7.1%
[ 9.0% - 9.5% ] 9.41%	358,751	9.2%
[ 9.5% - 10.0% ] 9.67%	556,057	9.9%
[ 9.5% - 10.0% ] 9.86%	409,950	12.5%
[ 10.0% - 10.5% ] 10.06%	516,387	7.1%
[ 10.0% - 10.5% ] 10.33%	806,876	7.9%
[ 10.5% - 11.0% ] 10.53%	315,843	5.6%
[ 10.5% - 11.0% ] 10.72%	178,240	8.7%
[ 10.5% - 11.0% ] 10.92%	616,482	14.2%
[ 11.0% - 11.5% ] 11.14%	163,662	8.8%
[ 11.0% - 11.5% ] 11.40%	162,669	6.4%
[ 11.5% - 12.0% ] 11.62%	619,845	6.9%
[ 11.5% - 12.0% ] 11.79%	526,869	7.2%
[ 12.0% - 12.5% ] 12.09%	258,290	6.5%
[ 12.0% - 12.5% ] 12.29%	269,322	9.0%
[ 12.0% - 12.5% ] 12.48%	474,103	6.6%
[ 12.5% - 13.0% ] 12.67%	251,377	6.5%
[ 12.5% - 13.0% ] 12.93%	186,675	7.3%
[ 13.0% - 13.5% ] 13.12%	182,626	6.0%
[ 13.0% - 13.5% ] 13.30%	222,095	7.9%
[ 13.5% - 14.0% ] 13.55%	181,618	5.5%
[ 13.5% - 14.0% ] 13.77%	413,804	9.1%
[ 13.5% - 14.0% ] 14.00%	50,575	10.9%
[ 14.0% - 14.5% ] 14.20%	65,175	6.2%
[ 14.0% - 14.5% ] 14.44%	138,426	6.3%
[ 14.5% - 15.0% ] 14.66%	332,921	13.3%
[ 14.5% - 15.0% ] 14.82%	63,656	9.6%
[ 15.0% - 15.5% ] 15.29%	82,660	5.4%
[ 15.0% - 15.5% ] 15.45%	264,144	5.9%
[ 15.5% - 16.0% ] 15.74%	159,820	7.9%
[ 15.5% - 16.0% ] 15.94%	132,103	8.2%
[ 16.0% - 16.5% ] 16.16%	254,593	6.4%
[ 16.0% - 16.5% ] 16.42%	112,519	7.9%
[ 16.5% - 17.0% ] 16.56%	113,686	5.6%
[ 16.5% - 17.0% ] 16.89%	180,194	5.5%
[ 17.0% - 17.5% ] 17.08%	22,030	9.8%
[ 17.0% - 17.5% ] 17.23%	272,834	5.1%
[ 17.0% - 17.5% ] 17.44%	16,679	16.2%
[ 17.5% - 18.0% ] 17.73%	215,024	7.6%
[ 17.5% - 18.0% ] 17.83%	131,679	14.2%
[ 18.0% - 18.5% ] 18.37%	6,272	7.2%
[ 18.5% - 19.0% ] 18.56%	30,149	5.5%
[ 18.5% - 19.0% ] 18.81%	153,563	4.3%
[ 19.0% - 19.5% ] 19.03%	129,604	5.2%
[ 19.0% - 19.5% ] 19.20%	149,814	11.7%
[ 19.0% - 19.5% ] 19.42%	11,603	1.5%
[ 19.5% - 20.0% ] 19.69%	13,297	2.8%
[ 19.5% - 20.0% ] 19.77%	21,152	4.1%
[ 20.0% - 20.5% ] 20.01%	51,902	4.0%
[ 20.0% - 20.5% ] 20.33%	22,831	14.0%
[ 20.5% - 21.0% ] 20.51%	68,761	6.3%
[ 20.5% - 21.0% ] 20.77%	33,513	12.4%
[ 20.5% - 21.0% ] 20.92%	14,067	5.3%
[ 21.0% - 21.5% ] 21.09%	127,930	16.5%
[ 21.0% - 21.5% ] 21.36%	210,788	6.3%
[ 21.5% - 22.0% ] 21.54%	1,207	2.8%
[ 21.5% - 22.0% ] 21.72%	24,229	5.3%
[ 21.5% - 22.0% ] 21.98%	74,839	5.5%
[ 22.5% - 23.0% ] 22.57%	228,795	6.0%
[ 22.5% - 23.0% ] 23.00%	64,268	15.0%
[ 23.0% - 23.5% ] 23.28%	37,671	4.5%
[ 23.5% - 24.0% ] 23.60%	88,402	6.6%
[ 23.5% - 24.0% ] 23.79%	50,125	6.0%
[ 24.0% - 24.5% ] 24.06%	22,796	1.4%
[ 24.0% - 24.5% ] 24.46%	8,257	0.96%
[ 24.5% - 25.0% ] 24.58%	38,567	7.9%
[ 24.5% - 25.0% ] 24.81%	37,194	10.6%
[ 25.0% - 25.5% ] 25.19%	53,464	4.5%
[ 25.5% - 26.0% ] 25.72%	5,206	1.9%
[ 25.5% - 26.0% ] 25.98%	42,903	4.2%
[ 26.0% - 26.5% ] 26.16%	44,127	10.0%
[ 27.0% - 27.5% ] 27.46%	5,018	5.1%
[ 27.5% - 28.0% ] 27.96%	15,702	10.6%
[ 28.5% - 29.0% ] 28.55%	802	0.46%
[ 29.0% - 29.5% ] 29.17%	3,695	3.0%
[ 29.5% - 30.0% ] 29.66%	5,867	2.5%
[ 30.0% - 30.5% ] 30.21%	18,068	8.4%
[ 30.5% - 31.0% ] 30.78%	2,560	4.6%
[ 31.5% - 32.0% ] 31.85%	16,722	1.9%
[ 32.5% - 33.0% ] 32.84%	341	1.1%
[ 33.0% - 33.5% ] 33.22%	20,264	6.4%
[ 33.5% - 34.0% ] 33.51%	37,689	5.7%
[ 34.5% - 35.0% ] 34.92%	733	9.1%
[ 35.0% - 35.5% ] 35.50%	20,693	4.5%
[ 35.5% - 36.0% ] 35.86%	15,585	3.9%
[ 36.0% - 36.5% ] 36.48%	2,300	2.1%
[ 36.5% - 37.0% ] 36.72%	1,999	5.4%
[ 37.0% - 37.5% ] 37.40%	44,570	7.9%
[ 37.5% - 38.0% ] 37.56%	39,565	4.5%
[ 38.5% - 39.0% ] 38.78%	37,022	5.0%
[ 39.0% - 39.5% ] 39.38%	1,153	6.4%

Immigrants from South Central Asia Female Poverty

COMPARE

Immigrants from South Central Asia Female PovertyExceptional

Immigrants from South Central Asia Female Poverty Correlation Chart

Demographics Similar to Immigrants from South Central Asia by Female Poverty

Immigrants from South Central Asia Female Poverty Correlation Summary

Correlation Details

Immigrants from South Central Asia Female Poverty
Exceptional