South American Receiving Food Stamps

The statistical analysis conducted on geographies consisting of 483,734,343 people shows a weak negative correlation between the proportion of South Americans and percentage of population receiving government assistance and/or food stamps in the United States with a correlation coefficient (R) of -0.206 and weighted average of 12.4%. On average, for every 1% (one percent) increase in South Americans within a typical geography, there is a decrease of 0.087% in percentage of population receiving government assistance and/or food stamps.

It is essential to understand that the correlation between the percentage of South Americans and percentage of population receiving government assistance and/or food stamps does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of South Americans influences an upward or downward trend in the level of percentage of population receiving government assistance and/or food stamps within an area, or if South Americans simply ended up residing in those areas with higher or lower levels of percentage of population receiving government assistance and/or food stamps due to other factors.

Demographics Similar to South Americans by Receiving Food Stamps

In terms of receiving food stamps, the demographic groups most similar to South Americans are Laotian (12.4%, a difference of 0.10%), Aleut (12.4%, a difference of 0.17%), Venezuelan (12.4%, a difference of 0.48%), Immigrants from Venezuela (12.5%, a difference of 0.49%), and Potawatomi (12.4%, a difference of 0.62%).

Demographics	Rating \| Rank	Receiving Food Stamps
Sierra Leoneans	80.0 /100 \| #204	Excellent 12.1%
Immigrants from Sudan	79.8 /100 \| #205	Good 12.2%
Nonimmigrants	79.7 /100 \| #206	Good 12.2%
Immigrants from Thailand	79.3 /100 \| #207	Good 12.3%
Potawatomi	79.3 /100 \| #208	Good 12.4%
Venezuelans	79.2 /100 \| #209	Good 12.4%
Aleuts	79.1 /100 \| #210	Good 12.4%
South Americans	79.0 /100 \| #211	Good 12.4%
Laotians	78.9 /100 \| #212	Good 12.4%
Immigrants from Venezuela	78.8 /100 \| #213	Good 12.5%
Moroccans	78.6 /100 \| #214	Good 12.5%
Hawaiians	78.4 /100 \| #215	Good 12.6%
Colombians	78.4 /100 \| #216	Good 12.6%
Chickasaw	78.4 /100 \| #217	Good 12.6%
Crow	78.3 /100 \| #218	Good 12.6%

South American Receiving Food Stamps Correlation Summary

Measurement	South American Data	Receiving Food Stamps Data
Minimum	0.17%	1.9%
Maximum	61.3%	32.2%
Range	61.1%	30.3%
Mean	19.1%	12.2%
Median	17.4%	11.6%
Interquartile 25% (IQ1)	8.7%	8.9%
Interquartile 75% (IQ3)	26.8%	14.3%
Interquartile Range (IQR)	18.2%	5.4%
Standard Deviation (Sample)	13.5%	5.7%
Standard Deviation (Population)	13.5%	5.7%

Correlation Details

South American Percentile	Sample Size	Receiving Food Stamps
[ 0.0% - 0.5% ] 0.17%	124,357,181	14.1%
[ 0.0% - 0.5% ] 0.48%	100,309,268	11.6%
[ 0.5% - 1.0% ] 0.80%	69,697,827	10.2%
[ 1.0% - 1.5% ] 1.12%	46,580,066	9.9%
[ 1.0% - 1.5% ] 1.44%	31,472,896	9.4%
[ 1.5% - 2.0% ] 1.77%	24,068,520	10.9%
[ 2.0% - 2.5% ] 2.11%	12,572,997	9.6%
[ 2.0% - 2.5% ] 2.42%	9,173,931	11.3%
[ 2.5% - 3.0% ] 2.77%	6,532,242	10.0%
[ 3.0% - 3.5% ] 3.08%	6,356,007	12.2%
[ 3.0% - 3.5% ] 3.40%	4,119,302	11.7%
[ 3.5% - 4.0% ] 3.71%	3,246,843	9.5%
[ 4.0% - 4.5% ] 4.06%	3,469,973	10.0%
[ 4.0% - 4.5% ] 4.39%	3,101,810	11.6%
[ 4.5% - 5.0% ] 4.70%	10,948,193	17.6%
[ 5.0% - 5.5% ] 5.03%	2,666,017	13.1%
[ 5.0% - 5.5% ] 5.35%	1,684,284	13.0%
[ 5.5% - 6.0% ] 5.69%	1,882,858	13.1%
[ 5.5% - 6.0% ] 6.00%	791,593	7.8%
[ 6.0% - 6.5% ] 6.34%	1,421,912	13.6%
[ 6.5% - 7.0% ] 6.68%	1,442,432	19.5%
[ 6.5% - 7.0% ] 6.95%	904,262	14.3%
[ 7.0% - 7.5% ] 7.31%	993,520	10.9%
[ 7.5% - 8.0% ] 7.60%	714,573	11.8%
[ 7.5% - 8.0% ] 7.92%	1,371,547	14.1%
[ 8.0% - 8.5% ] 8.31%	356,751	10.5%
[ 8.5% - 9.0% ] 8.66%	762,408	12.6%
[ 8.5% - 9.0% ] 8.95%	435,586	15.1%
[ 9.0% - 9.5% ] 9.23%	767,920	12.8%
[ 9.5% - 10.0% ] 9.60%	513,984	12.8%
[ 9.5% - 10.0% ] 9.93%	323,440	18.8%
[ 10.0% - 10.5% ] 10.28%	525,968	14.0%
[ 10.5% - 11.0% ] 10.58%	307,509	10.7%
[ 10.5% - 11.0% ] 10.94%	630,581	19.1%
[ 11.0% - 11.5% ] 11.20%	305,465	13.4%
[ 11.5% - 12.0% ] 11.60%	376,847	10.4%
[ 11.5% - 12.0% ] 11.90%	874,448	18.9%
[ 12.0% - 12.5% ] 12.17%	336,666	13.7%
[ 12.0% - 12.5% ] 12.47%	388,672	18.8%
[ 12.5% - 13.0% ] 12.92%	291,668	10.1%
[ 13.0% - 13.5% ] 13.15%	360,631	26.7%
[ 13.5% - 14.0% ] 13.53%	149,564	10.5%
[ 13.5% - 14.0% ] 13.78%	543,809	12.5%
[ 14.0% - 14.5% ] 14.17%	113,896	10.8%
[ 14.0% - 14.5% ] 14.42%	155,474	7.8%
[ 14.5% - 15.0% ] 14.83%	494,372	12.5%
[ 15.0% - 15.5% ] 15.11%	438,317	13.3%
[ 15.0% - 15.5% ] 15.39%	443,200	15.2%
[ 15.5% - 16.0% ] 15.69%	138,724	10.8%
[ 16.0% - 16.5% ] 16.17%	123,589	12.5%
[ 16.0% - 16.5% ] 16.37%	98,634	20.6%
[ 16.5% - 17.0% ] 16.82%	109,839	11.3%
[ 17.0% - 17.5% ] 17.12%	213,870	18.6%
[ 17.0% - 17.5% ] 17.42%	100,838	22.1%
[ 17.5% - 18.0% ] 17.57%	552	13.3%
[ 18.0% - 18.5% ] 18.18%	62,919	12.4%
[ 18.5% - 19.0% ] 18.52%	88,629	8.8%
[ 18.5% - 19.0% ] 18.58%	34,453	8.1%
[ 19.0% - 19.5% ] 19.04%	41,181	7.6%
[ 19.0% - 19.5% ] 19.36%	59,705	6.0%
[ 19.5% - 20.0% ] 19.68%	306,955	17.0%
[ 20.0% - 20.5% ] 20.03%	132,410	13.6%
[ 20.0% - 20.5% ] 20.39%	92,373	13.6%
[ 20.5% - 21.0% ] 20.67%	49,371	11.3%
[ 21.0% - 21.5% ] 21.09%	185,509	20.2%
[ 21.0% - 21.5% ] 21.28%	39,281	8.1%
[ 21.5% - 22.0% ] 21.66%	132,458	13.4%
[ 21.5% - 22.0% ] 21.96%	88,599	6.5%
[ 22.0% - 22.5% ] 22.29%	94,297	22.1%
[ 22.0% - 22.5% ] 22.48%	22,409	16.7%
[ 23.0% - 23.5% ] 23.01%	5,176	7.5%
[ 23.0% - 23.5% ] 23.37%	28,207	18.4%
[ 23.5% - 24.0% ] 23.57%	293,163	15.3%
[ 23.5% - 24.0% ] 24.00%	97,316	14.8%
[ 24.0% - 24.5% ] 24.49%	142,684	21.6%
[ 24.5% - 25.0% ] 24.80%	23,317	9.0%
[ 25.5% - 26.0% ] 25.51%	15,834	4.0%
[ 25.5% - 26.0% ] 25.93%	125,236	10.2%
[ 26.0% - 26.5% ] 26.12%	60,293	5.8%
[ 26.0% - 26.5% ] 26.46%	55,781	12.3%
[ 26.5% - 27.0% ] 26.82%	175,920	15.5%
[ 27.0% - 27.5% ] 27.12%	31,550	12.7%
[ 27.0% - 27.5% ] 27.32%	798	8.2%
[ 27.5% - 28.0% ] 27.81%	1,165	28.4%
[ 28.0% - 28.5% ] 28.12%	54,017	10.1%
[ 28.5% - 29.0% ] 28.83%	112,170	11.2%
[ 29.0% - 29.5% ] 29.03%	155	32.2%
[ 29.5% - 30.0% ] 29.52%	33,863	4.1%
[ 29.5% - 30.0% ] 29.82%	116,469	26.7%
[ 30.0% - 30.5% ] 30.20%	22,234	5.5%
[ 30.0% - 30.5% ] 30.33%	14,390	3.2%
[ 31.0% - 31.5% ] 31.07%	9,301	3.0%
[ 31.5% - 32.0% ] 31.86%	11,484	3.5%
[ 32.0% - 32.5% ] 32.28%	21,845	8.9%
[ 33.5% - 34.0% ] 33.96%	70,915	3.9%
[ 34.0% - 34.5% ] 34.20%	31,687	6.1%
[ 36.5% - 37.0% ] 36.61%	183	3.0%
[ 37.0% - 37.5% ] 37.21%	86	20.5%
[ 38.0% - 38.5% ] 38.19%	14,611	1.9%
[ 38.0% - 38.5% ] 38.43%	16,235	2.7%
[ 40.5% - 41.0% ] 40.77%	5,880	5.5%
[ 41.5% - 42.0% ] 41.60%	6,158	3.7%
[ 52.0% - 52.5% ] 52.12%	1,771	4.6%
[ 57.5% - 58.0% ] 57.93%	3,021	18.3%
[ 59.0% - 59.5% ] 59.18%	64,366	9.0%
[ 59.0% - 59.5% ] 59.45%	73,126	9.2%
[ 61.0% - 61.5% ] 61.26%	111	7.7%

South American Receiving Food Stamps

COMPARE

South American Receiving Food StampsGood

South American Receiving Food Stamps Correlation Chart

Demographics Similar to South Americans by Receiving Food Stamps

South American Receiving Food Stamps Correlation Summary

Correlation Details

South American Receiving Food Stamps
Good