Immigrants from China Female Poverty

The statistical analysis conducted on geographies consisting of 456,442,741 people shows a weak positive correlation between the proportion of Immigrants from China and poverty level among females in the United States with a correlation coefficient (R) of 0.210 and weighted average of 12.5%. On average, for every 1% (one percent) increase in Immigrants from China within a typical geography, there is an increase of 0.079% in poverty level among females.

It is essential to understand that the correlation between the percentage of Immigrants from China and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from China influences an upward or downward trend in the level of poverty level among females within an area, or if Immigrants from China 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 China by Female Poverty

In terms of female poverty, the demographic groups most similar to Immigrants from China are Slavic (12.5%, a difference of 0.020%), Palestinian (12.5%, a difference of 0.11%), Immigrants from Latvia (12.5%, a difference of 0.15%), Tlingit-Haida (12.5%, a difference of 0.15%), and Scottish (12.5%, a difference of 0.22%).

Demographics	Rating \| Rank	Female Poverty
Immigrants from South Africa	95.4 /100 \| #95	Exceptional 12.5%
British	95.2 /100 \| #96	Exceptional 12.5%
Australians	95.2 /100 \| #97	Exceptional 12.5%
Native Hawaiians	95.1 /100 \| #98	Exceptional 12.5%
Romanians	95.1 /100 \| #99	Exceptional 12.5%
Immigrants from Latvia	94.8 /100 \| #100	Exceptional 12.5%
Tlingit-Haida	94.8 /100 \| #101	Exceptional 12.5%
Immigrants from China	94.5 /100 \| #102	Exceptional 12.5%
Slavs	94.5 /100 \| #103	Exceptional 12.5%
Palestinians	94.3 /100 \| #104	Exceptional 12.5%
Scottish	94.1 /100 \| #105	Exceptional 12.5%
Immigrants from Turkey	93.8 /100 \| #106	Exceptional 12.6%
Laotians	93.4 /100 \| #107	Exceptional 12.6%
Portuguese	93.1 /100 \| #108	Exceptional 12.6%
Immigrants from Zimbabwe	93.1 /100 \| #109	Exceptional 12.6%

Immigrants from China Female Poverty Correlation Summary

Measurement	Immigrants from China Data	Female Poverty Data
Minimum	0.17%	2.6%
Maximum	46.3%	26.5%
Range	46.1%	23.9%
Mean	16.3%	11.9%
Median	14.8%	11.5%
Interquartile 25% (IQ1)	7.4%	9.7%
Interquartile 75% (IQ3)	24.2%	13.0%
Interquartile Range (IQR)	16.9%	3.3%
Standard Deviation (Sample)	10.9%	4.1%
Standard Deviation (Population)	10.8%	4.1%

Correlation Details

Immigrants from China Percentile	Sample Size	Female Poverty
[ 0.0% - 0.5% ] 0.17%	220,223,488	14.9%
[ 0.5% - 1.0% ] 0.54%	93,510,915	12.8%
[ 0.5% - 1.0% ] 0.95%	38,574,607	11.9%
[ 1.0% - 1.5% ] 1.33%	25,322,855	13.0%
[ 1.5% - 2.0% ] 1.73%	13,942,292	12.4%
[ 2.0% - 2.5% ] 2.10%	10,303,362	11.2%
[ 2.5% - 3.0% ] 2.52%	5,151,552	10.9%
[ 2.5% - 3.0% ] 2.91%	5,846,543	11.6%
[ 3.0% - 3.5% ] 3.29%	5,123,730	12.0%
[ 3.5% - 4.0% ] 3.67%	3,128,098	10.1%
[ 4.0% - 4.5% ] 4.01%	2,859,803	9.8%
[ 4.5% - 5.0% ] 4.58%	11,854,738	17.0%
[ 4.5% - 5.0% ] 4.83%	1,647,139	13.0%
[ 5.0% - 5.5% ] 5.24%	1,107,962	12.0%
[ 5.5% - 6.0% ] 5.64%	2,267,759	10.9%
[ 6.0% - 6.5% ] 6.00%	716,020	13.2%
[ 6.0% - 6.5% ] 6.40%	1,098,733	9.6%
[ 6.5% - 7.0% ] 6.77%	1,062,120	12.0%
[ 7.0% - 7.5% ] 7.15%	1,071,814	9.2%
[ 7.5% - 8.0% ] 7.61%	714,153	13.0%
[ 7.5% - 8.0% ] 7.99%	977,767	9.1%
[ 8.0% - 8.5% ] 8.40%	885,534	8.9%
[ 8.5% - 9.0% ] 8.76%	343,005	12.3%
[ 9.0% - 9.5% ] 9.04%	681,538	7.6%
[ 9.5% - 10.0% ] 9.55%	428,401	10.8%
[ 9.5% - 10.0% ] 9.88%	604,428	11.3%
[ 10.0% - 10.5% ] 10.25%	263,373	10.6%
[ 10.5% - 11.0% ] 10.70%	348,046	10.4%
[ 10.5% - 11.0% ] 10.99%	435,582	11.1%
[ 11.0% - 11.5% ] 11.41%	531,653	9.0%
[ 11.5% - 12.0% ] 11.81%	167,233	11.9%
[ 12.0% - 12.5% ] 12.35%	1,057,857	11.1%
[ 12.5% - 13.0% ] 12.68%	383,600	10.0%
[ 13.0% - 13.5% ] 13.06%	273,045	14.0%
[ 13.0% - 13.5% ] 13.39%	360,552	8.7%
[ 13.5% - 14.0% ] 13.86%	120,497	26.5%
[ 14.0% - 14.5% ] 14.27%	47,202	15.2%
[ 14.5% - 15.0% ] 14.63%	97,288	11.5%
[ 14.5% - 15.0% ] 14.93%	110,434	8.3%
[ 15.0% - 15.5% ] 15.39%	40,627	8.5%
[ 15.5% - 16.0% ] 15.59%	744	9.4%
[ 16.0% - 16.5% ] 16.11%	183,427	9.6%
[ 16.0% - 16.5% ] 16.38%	51,894	12.1%
[ 17.0% - 17.5% ] 17.19%	148,790	15.2%
[ 18.0% - 18.5% ] 18.02%	111,247	11.6%
[ 18.0% - 18.5% ] 18.40%	312,200	9.7%
[ 18.5% - 19.0% ] 18.92%	113,241	6.0%
[ 19.0% - 19.5% ] 19.18%	235,005	13.4%
[ 19.0% - 19.5% ] 19.44%	45,650	6.0%
[ 19.5% - 20.0% ] 19.85%	131,923	10.1%
[ 20.5% - 21.0% ] 20.98%	14,204	4.8%
[ 21.5% - 22.0% ] 21.65%	89,075	9.8%
[ 21.5% - 22.0% ] 21.87%	143,740	8.1%
[ 22.0% - 22.5% ] 22.31%	102,223	12.2%
[ 22.5% - 23.0% ] 22.68%	85,306	10.5%
[ 23.0% - 23.5% ] 23.13%	24,169	12.2%
[ 23.5% - 24.0% ] 23.82%	1,100	2.6%
[ 24.5% - 25.0% ] 24.66%	80,986	26.4%
[ 25.5% - 26.0% ] 25.74%	134,385	19.3%
[ 26.0% - 26.5% ] 26.09%	151,983	11.6%
[ 26.0% - 26.5% ] 26.46%	28,212	8.5%
[ 26.5% - 27.0% ] 26.87%	68,923	10.0%
[ 27.5% - 28.0% ] 27.63%	36,165	10.5%
[ 28.0% - 28.5% ] 28.13%	37,340	14.2%
[ 28.5% - 29.0% ] 28.66%	52,268	13.0%
[ 28.5% - 29.0% ] 28.73%	87,947	11.9%
[ 30.5% - 31.0% ] 30.51%	25,460	18.1%
[ 30.5% - 31.0% ] 30.69%	61,340	12.6%
[ 31.0% - 31.5% ] 31.42%	557	4.6%
[ 32.0% - 32.5% ] 32.09%	430	16.1%
[ 34.5% - 35.0% ] 34.51%	1,107	13.6%
[ 35.5% - 36.0% ] 35.57%	12,070	19.6%
[ 36.0% - 36.5% ] 36.36%	25,001	9.9%
[ 36.5% - 37.0% ] 36.69%	26,418	11.8%
[ 39.0% - 39.5% ] 39.16%	53,371	19.9%
[ 46.0% - 46.5% ] 46.27%	79,495	21.9%

Immigrants from China Female Poverty

COMPARE

Immigrants from China Female PovertyExceptional

Immigrants from China Female Poverty Correlation Chart

Demographics Similar to Immigrants from China by Female Poverty

Immigrants from China Female Poverty Correlation Summary

Correlation Details

Immigrants from China Female Poverty
Exceptional