Immigrants from China Male Poverty

The statistical analysis conducted on geographies consisting of 456,181,421 people shows a weak positive correlation between the proportion of Immigrants from China and poverty level among males in the United States with a correlation coefficient (R) of 0.295 and weighted average of 10.7%. On average, for every 1% (one percent) increase in Immigrants from China within a typical geography, there is an increase of 0.10% in poverty level among males.

It is essential to understand that the correlation between the percentage of Immigrants from China and poverty level among males 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 males within an area, or if Immigrants from China 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 China by Male Poverty

In terms of male poverty, the demographic groups most similar to Immigrants from China are Peruvian (10.7%, a difference of 0.010%), Native Hawaiian (10.7%, a difference of 0.030%), South African (10.7%, a difference of 0.070%), Immigrants from Hungary (10.7%, a difference of 0.10%), and French (10.7%, a difference of 0.10%).

Demographics	Rating \| Rank	Male Poverty
Palestinians	89.1 /100 \| #113	Excellent 10.6%
Immigrants from Brazil	89.0 /100 \| #114	Excellent 10.6%
Immigrants from Russia	88.6 /100 \| #115	Excellent 10.6%
Sri Lankans	88.1 /100 \| #116	Excellent 10.6%
Immigrants from South Eastern Asia	88.1 /100 \| #117	Excellent 10.6%
Okinawans	87.6 /100 \| #118	Excellent 10.7%
Immigrants from Hungary	87.6 /100 \| #119	Excellent 10.7%
Immigrants from China	87.1 /100 \| #120	Excellent 10.7%
Peruvians	87.1 /100 \| #121	Excellent 10.7%
Native Hawaiians	87.0 /100 \| #122	Excellent 10.7%
South Africans	86.8 /100 \| #123	Excellent 10.7%
French	86.7 /100 \| #124	Excellent 10.7%
Immigrants from Norway	86.0 /100 \| #125	Excellent 10.7%
Immigrants from Ukraine	84.3 /100 \| #126	Excellent 10.7%
Puget Sound Salish	84.3 /100 \| #127	Excellent 10.7%

Immigrants from China Male Poverty Correlation Summary

Measurement	Immigrants from China Data	Male Poverty Data
Minimum	0.17%	1.9%
Maximum	46.3%	24.3%
Range	46.1%	22.4%
Mean	16.5%	10.4%
Median	15.2%	9.8%
Interquartile 25% (IQ1)	7.4%	7.9%
Interquartile 75% (IQ3)	24.2%	11.4%
Interquartile Range (IQR)	16.9%	3.4%
Standard Deviation (Sample)	10.9%	3.7%
Standard Deviation (Population)	10.9%	3.7%

Correlation Details

Immigrants from China Percentile	Sample Size	Male Poverty
[ 0.0% - 0.5% ] 0.17%	220,159,120	12.3%
[ 0.5% - 1.0% ] 0.54%	93,485,106	10.7%
[ 0.5% - 1.0% ] 0.95%	38,557,517	9.9%
[ 1.0% - 1.5% ] 1.33%	25,317,741	10.9%
[ 1.5% - 2.0% ] 1.73%	13,932,788	10.5%
[ 2.0% - 2.5% ] 2.10%	10,295,010	9.5%
[ 2.5% - 3.0% ] 2.52%	5,162,091	9.3%
[ 2.5% - 3.0% ] 2.91%	5,857,128	10.2%
[ 3.0% - 3.5% ] 3.29%	5,124,204	10.5%
[ 3.5% - 4.0% ] 3.67%	3,122,593	8.8%
[ 4.0% - 4.5% ] 4.01%	2,854,088	8.1%
[ 4.5% - 5.0% ] 4.58%	11,868,091	14.6%
[ 4.5% - 5.0% ] 4.83%	1,646,761	11.6%
[ 5.0% - 5.5% ] 5.23%	1,106,044	10.7%
[ 5.5% - 6.0% ] 5.64%	2,264,564	9.3%
[ 6.0% - 6.5% ] 6.00%	711,881	12.6%
[ 6.0% - 6.5% ] 6.40%	1,098,304	7.8%
[ 6.5% - 7.0% ] 6.77%	1,060,340	10.7%
[ 7.0% - 7.5% ] 7.15%	1,071,814	8.0%
[ 7.5% - 8.0% ] 7.62%	702,560	10.1%
[ 7.5% - 8.0% ] 7.99%	977,767	7.8%
[ 8.0% - 8.5% ] 8.40%	882,808	7.3%
[ 8.5% - 9.0% ] 8.76%	342,439	10.5%
[ 9.0% - 9.5% ] 9.04%	681,538	6.4%
[ 9.5% - 10.0% ] 9.56%	424,763	9.9%
[ 9.5% - 10.0% ] 9.88%	604,428	9.5%
[ 10.0% - 10.5% ] 10.25%	263,373	7.0%
[ 10.5% - 11.0% ] 10.70%	348,046	8.9%
[ 10.5% - 11.0% ] 10.99%	435,671	9.7%
[ 11.0% - 11.5% ] 11.41%	531,320	7.8%
[ 11.5% - 12.0% ] 11.81%	162,814	10.9%
[ 12.0% - 12.5% ] 12.35%	1,057,857	9.8%
[ 12.5% - 13.0% ] 12.68%	383,600	7.7%
[ 13.0% - 13.5% ] 13.06%	273,045	12.9%
[ 13.0% - 13.5% ] 13.39%	360,552	7.2%
[ 14.0% - 14.5% ] 14.27%	47,202	16.1%
[ 14.5% - 15.0% ] 14.63%	97,288	10.1%
[ 14.5% - 15.0% ] 14.93%	110,434	6.8%
[ 15.0% - 15.5% ] 15.39%	40,627	6.3%
[ 15.5% - 16.0% ] 15.59%	744	1.9%
[ 16.0% - 16.5% ] 16.11%	183,427	8.0%
[ 16.0% - 16.5% ] 16.38%	51,894	12.8%
[ 17.0% - 17.5% ] 17.19%	148,790	13.5%
[ 18.0% - 18.5% ] 18.02%	111,247	9.7%
[ 18.0% - 18.5% ] 18.40%	312,200	8.9%
[ 18.5% - 19.0% ] 18.92%	113,241	5.5%
[ 19.0% - 19.5% ] 19.18%	235,005	11.2%
[ 19.0% - 19.5% ] 19.44%	45,650	6.7%
[ 19.5% - 20.0% ] 19.85%	131,923	10.7%
[ 20.0% - 20.5% ] 20.31%	384	20.2%
[ 20.5% - 21.0% ] 20.98%	14,204	6.6%
[ 21.5% - 22.0% ] 21.65%	89,435	7.9%
[ 21.5% - 22.0% ] 21.87%	143,740	8.4%
[ 22.0% - 22.5% ] 22.31%	102,223	11.2%
[ 22.5% - 23.0% ] 22.68%	85,306	9.1%
[ 23.0% - 23.5% ] 23.13%	24,169	11.2%
[ 23.5% - 24.0% ] 23.82%	1,100	3.4%
[ 24.5% - 25.0% ] 24.66%	80,986	24.3%
[ 25.5% - 26.0% ] 25.74%	134,385	15.9%
[ 26.0% - 26.5% ] 26.09%	151,983	10.3%
[ 26.0% - 26.5% ] 26.46%	28,212	7.1%
[ 26.5% - 27.0% ] 26.87%	68,923	9.3%
[ 27.5% - 28.0% ] 27.63%	36,165	9.7%
[ 28.0% - 28.5% ] 28.13%	37,340	13.0%
[ 28.5% - 29.0% ] 28.66%	52,268	12.6%
[ 28.5% - 29.0% ] 28.73%	87,947	9.6%
[ 30.5% - 31.0% ] 30.51%	25,460	15.1%
[ 30.5% - 31.0% ] 30.69%	61,532	11.1%
[ 32.0% - 32.5% ] 32.09%	430	18.9%
[ 32.5% - 33.0% ] 32.83%	329	7.6%
[ 34.5% - 35.0% ] 34.51%	1,107	7.0%
[ 35.5% - 36.0% ] 35.57%	12,070	17.5%
[ 36.0% - 36.5% ] 36.36%	25,001	8.2%
[ 36.5% - 37.0% ] 36.69%	26,418	12.7%
[ 39.0% - 39.5% ] 39.16%	53,371	17.5%
[ 46.0% - 46.5% ] 46.27%	79,495	19.1%

Immigrants from China Male Poverty

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Immigrants from China Male PovertyExcellent

Immigrants from China Male Poverty Correlation Chart

Demographics Similar to Immigrants from China by Male Poverty

Immigrants from China Male Poverty Correlation Summary

Correlation Details

Immigrants from China Male Poverty
Excellent