Indian (Asian) Single Female Poverty

The statistical analysis conducted on geographies consisting of 458,664,139 people shows no correlation between the proportion of Indians (Asian) and poverty level among single females in the United States with a correlation coefficient (R) of 0.034 and weighted average of 17.6%. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.017% in poverty level among single females.

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

Demographics Similar to Indians (Asian) by Single Female Poverty

In terms of single female poverty, the demographic groups most similar to Indians (Asian) are Immigrants from Lithuania (17.6%, a difference of 0.060%), Immigrants from Iran (17.7%, a difference of 0.68%), Taiwanese (17.3%, a difference of 1.5%), Japanese (18.0%, a difference of 2.5%), and Assyrian/Chaldean/Syriac (17.1%, a difference of 2.6%).

Demographics	Rating \| Rank	Single Female Poverty
Immigrants from Taiwan	100 /100 \| #1	Exceptional 16.6%
Okinawans	98.9 /100 \| #2	Exceptional 16.8%
Immigrants from Hong Kong	98.5 /100 \| #3	Exceptional 16.9%
Immigrants from India	97.3 /100 \| #4	Exceptional 17.1%
Assyrians/Chaldeans/Syriacs	97.3 /100 \| #5	Exceptional 17.1%
Taiwanese	96.4 /100 \| #6	Exceptional 17.3%
Immigrants from Lithuania	95.1 /100 \| #7	Exceptional 17.6%
Indians (Asian)	95.1 /100 \| #8	Exceptional 17.6%
Immigrants from Iran	94.5 /100 \| #9	Exceptional 17.7%
Japanese	92.9 /100 \| #10	Exceptional 18.0%
Immigrants from Bolivia	92.4 /100 \| #11	Exceptional 18.1%
Immigrants from Ireland	92.3 /100 \| #12	Exceptional 18.1%
Immigrants from South Central Asia	92.1 /100 \| #13	Exceptional 18.2%
Immigrants from North Macedonia	92.1 /100 \| #14	Exceptional 18.2%
Tsimshian	92.0 /100 \| #15	Exceptional 18.2%

Indian (Asian) Single Female Poverty Correlation Summary

Measurement	Indian (Asian) Data	Single Female Poverty Data
Minimum	0.15%	4.2%
Maximum	52.9%	50.0%
Range	52.8%	45.8%
Mean	18.5%	15.3%
Median	16.4%	14.6%
Interquartile 25% (IQ1)	8.1%	11.9%
Interquartile 75% (IQ3)	26.2%	18.0%
Interquartile Range (IQR)	18.0%	6.0%
Standard Deviation (Sample)	12.9%	6.5%
Standard Deviation (Population)	12.9%	6.5%

Correlation Details

Indian (Asian) Percentile	Sample Size	Single Female Poverty
[ 0.0% - 0.5% ] 0.15%	111,446,866	26.6%
[ 0.0% - 0.5% ] 0.44%	76,884,042	24.4%
[ 0.5% - 1.0% ] 0.75%	57,717,004	22.6%
[ 1.0% - 1.5% ] 1.06%	40,525,817	22.0%
[ 1.0% - 1.5% ] 1.35%	26,337,168	19.9%
[ 1.5% - 2.0% ] 1.65%	26,066,509	21.8%
[ 1.5% - 2.0% ] 1.96%	14,457,943	19.0%
[ 2.0% - 2.5% ] 2.26%	13,448,021	18.2%
[ 2.5% - 3.0% ] 2.54%	10,961,769	18.5%
[ 2.5% - 3.0% ] 2.94%	18,927,990	21.0%
[ 3.0% - 3.5% ] 3.17%	6,632,845	18.1%
[ 3.0% - 3.5% ] 3.47%	6,503,388	16.8%
[ 3.5% - 4.0% ] 3.79%	4,646,600	16.2%
[ 4.0% - 4.5% ] 4.09%	4,049,909	16.1%
[ 4.0% - 4.5% ] 4.38%	3,652,762	16.0%
[ 4.5% - 5.0% ] 4.66%	3,441,044	15.4%
[ 4.5% - 5.0% ] 4.99%	2,392,809	15.1%
[ 5.0% - 5.5% ] 5.29%	2,159,291	15.1%
[ 5.5% - 6.0% ] 5.60%	2,474,633	13.4%
[ 5.5% - 6.0% ] 5.91%	1,534,316	13.8%
[ 6.0% - 6.5% ] 6.20%	1,749,023	16.5%
[ 6.0% - 6.5% ] 6.50%	877,483	15.0%
[ 6.5% - 7.0% ] 6.77%	1,746,090	15.5%
[ 7.0% - 7.5% ] 7.12%	477,111	17.2%
[ 7.0% - 7.5% ] 7.39%	1,974,371	14.4%
[ 7.5% - 8.0% ] 7.71%	811,990	15.4%
[ 8.0% - 8.5% ] 8.00%	842,874	15.9%
[ 8.0% - 8.5% ] 8.29%	727,600	10.7%
[ 8.5% - 9.0% ] 8.59%	552,133	20.9%
[ 8.5% - 9.0% ] 8.97%	437,043	16.5%
[ 9.0% - 9.5% ] 9.23%	516,857	11.9%
[ 9.5% - 10.0% ] 9.55%	457,818	15.6%
[ 9.5% - 10.0% ] 9.81%	658,627	13.4%
[ 10.0% - 10.5% ] 10.14%	549,973	7.9%
[ 10.0% - 10.5% ] 10.41%	427,028	15.1%
[ 10.5% - 11.0% ] 10.76%	433,091	12.6%
[ 11.0% - 11.5% ] 11.04%	408,897	15.0%
[ 11.0% - 11.5% ] 11.33%	304,663	12.1%
[ 11.5% - 12.0% ] 11.59%	564,044	14.2%
[ 11.5% - 12.0% ] 11.92%	461,060	11.1%
[ 12.0% - 12.5% ] 12.22%	185,933	12.0%
[ 12.5% - 13.0% ] 12.57%	818,006	19.3%
[ 12.5% - 13.0% ] 12.85%	437,144	13.7%
[ 13.0% - 13.5% ] 13.21%	349,175	15.2%
[ 13.0% - 13.5% ] 13.49%	345,824	11.0%
[ 13.5% - 14.0% ] 13.76%	439,641	15.7%
[ 14.0% - 14.5% ] 14.09%	357,798	12.0%
[ 14.0% - 14.5% ] 14.35%	448,841	9.8%
[ 14.5% - 15.0% ] 14.58%	480,527	20.0%
[ 14.5% - 15.0% ] 14.96%	154,582	10.9%
[ 15.0% - 15.5% ] 15.27%	146,928	15.5%
[ 15.5% - 16.0% ] 15.57%	151,092	15.7%
[ 15.5% - 16.0% ] 15.83%	220,220	17.9%
[ 16.0% - 16.5% ] 16.20%	227,033	19.9%
[ 16.0% - 16.5% ] 16.37%	60,022	8.5%
[ 16.5% - 17.0% ] 16.86%	361,257	12.5%
[ 17.0% - 17.5% ] 17.03%	173,847	14.6%
[ 17.0% - 17.5% ] 17.46%	38,894	10.3%
[ 17.5% - 18.0% ] 17.91%	42,741	17.2%
[ 18.0% - 18.5% ] 18.37%	70,278	20.0%
[ 18.5% - 19.0% ] 18.51%	210,011	12.4%
[ 18.5% - 19.0% ] 18.95%	210,800	12.8%
[ 19.0% - 19.5% ] 19.12%	27,985	8.9%
[ 19.0% - 19.5% ] 19.47%	318,480	10.7%
[ 19.5% - 20.0% ] 19.77%	113,571	12.9%
[ 20.0% - 20.5% ] 20.24%	74,075	14.5%
[ 20.0% - 20.5% ] 20.34%	166,025	12.1%
[ 20.5% - 21.0% ] 20.69%	190,610	16.9%
[ 20.5% - 21.0% ] 20.97%	75,765	10.3%
[ 21.0% - 21.5% ] 21.34%	176,017	15.7%
[ 21.5% - 22.0% ] 21.53%	173,362	12.6%
[ 21.5% - 22.0% ] 21.89%	56,320	10.3%
[ 22.0% - 22.5% ] 22.31%	79,093	14.0%
[ 22.5% - 23.0% ] 22.65%	24,404	12.7%
[ 22.5% - 23.0% ] 22.83%	113,951	13.6%
[ 23.0% - 23.5% ] 23.11%	87,800	13.4%
[ 23.0% - 23.5% ] 23.48%	197,134	9.6%
[ 23.5% - 24.0% ] 23.63%	27,098	19.4%
[ 24.0% - 24.5% ] 24.07%	75,359	20.1%
[ 24.5% - 25.0% ] 24.66%	28,576	18.9%
[ 25.0% - 25.5% ] 25.50%	79,587	9.3%
[ 25.5% - 26.0% ] 25.94%	176,942	13.3%
[ 26.0% - 26.5% ] 26.45%	43,331	6.9%
[ 26.5% - 27.0% ] 26.71%	307	26.1%
[ 27.0% - 27.5% ] 27.05%	138,017	13.7%
[ 28.0% - 28.5% ] 28.20%	14,016	7.1%
[ 28.5% - 29.0% ] 28.87%	11,467	6.0%
[ 29.0% - 29.5% ] 29.42%	291,345	11.0%
[ 30.0% - 30.5% ] 30.04%	125,973	15.2%
[ 30.5% - 31.0% ] 30.50%	72,153	9.7%
[ 30.5% - 31.0% ] 30.58%	62,185	14.1%
[ 31.0% - 31.5% ] 31.12%	19,371	8.4%
[ 31.5% - 32.0% ] 32.00%	88,635	12.7%
[ 32.5% - 33.0% ] 32.97%	20,980	16.3%
[ 33.5% - 34.0% ] 33.73%	6,019	13.7%
[ 34.5% - 35.0% ] 34.50%	38,522	11.4%
[ 34.5% - 35.0% ] 34.85%	59,996	8.2%
[ 36.5% - 37.0% ] 36.56%	53,762	9.9%
[ 37.0% - 37.5% ] 37.36%	16,426	8.8%
[ 38.0% - 38.5% ] 38.03%	18,480	20.9%
[ 42.0% - 42.5% ] 42.31%	9,728	24.9%
[ 44.0% - 44.5% ] 44.00%	5,754	12.3%
[ 44.0% - 44.5% ] 44.27%	43,705	19.7%
[ 44.5% - 45.0% ] 44.78%	134	50.0%
[ 46.5% - 47.0% ] 46.52%	16,370	4.2%
[ 48.0% - 48.5% ] 48.29%	15,491	20.5%
[ 48.5% - 49.0% ] 48.57%	20,523	19.8%
[ 51.5% - 52.0% ] 51.72%	116	50.0%
[ 52.5% - 53.0% ] 52.94%	40,083	7.3%

Indian (Asian) Single Female Poverty

COMPARE

Indian (Asian) Single Female PovertyExceptional

Indian (Asian) Single Female Poverty Correlation Chart

Demographics Similar to Indians (Asian) by Single Female Poverty

Indian (Asian) Single Female Poverty Correlation Summary

Correlation Details

Indian (Asian) Single Female Poverty
Exceptional