South American Receiving Food Stamps

The statistical analysis conducted on geographies consisting of 491,814,121 people shows a mild 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 -0.324 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 0.13% 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 Immigrants from Thailand (12.4%, a difference of 0.26%), Aleut (12.4%, a difference of 0.33%), Potawatomi (12.5%, a difference of 0.36%), Nonimmigrants (12.4%, a difference of 0.39%), and Shoshone (12.4%, a difference of 0.42%).

Demographics	Rating \| Rank	Receiving Food Stamps
Sierra Leoneans	23.6 /100 \| #200	Fair 12.2%
Ugandans	22.5 /100 \| #201	Fair 12.2%
Immigrants from Venezuela	20.1 /100 \| #202	Fair 12.3%
Shoshone	17.7 /100 \| #203	Poor 12.4%
Nonimmigrants	17.6 /100 \| #204	Poor 12.4%
Aleuts	17.3 /100 \| #205	Poor 12.4%
Immigrants from Thailand	17.0 /100 \| #206	Poor 12.4%
South Americans	16.0 /100 \| #207	Poor 12.4%
Potawatomi	14.6 /100 \| #208	Poor 12.5%
Immigrants from Sierra Leone	12.9 /100 \| #209	Poor 12.5%
Immigrants from Uruguay	12.8 /100 \| #210	Poor 12.5%
Colombians	10.2 /100 \| #211	Poor 12.6%
Malaysians	8.5 /100 \| #212	Tragic 12.7%
Moroccans	7.6 /100 \| #213	Tragic 12.8%
Immigrants from Africa	7.6 /100 \| #214	Tragic 12.8%

South American Receiving Food Stamps Correlation Summary

Measurement	South American Data	Receiving Food Stamps Data
Minimum	0.16%	0.90%
Maximum	61.7%	25.6%
Range	61.6%	24.7%
Mean	18.2%	12.2%
Median	16.8%	11.9%
Interquartile 25% (IQ1)	8.4%	9.7%
Interquartile 75% (IQ3)	26.0%	15.6%
Interquartile Range (IQR)	17.6%	6.0%
Standard Deviation (Sample)	12.3%	4.9%
Standard Deviation (Population)	12.2%	4.9%

Correlation Details

South American Percentile	Sample Size	Receiving Food Stamps
[ 0.0% - 0.5% ] 0.16%	114,213,052	14.4%
[ 0.0% - 0.5% ] 0.46%	96,934,893	12.1%
[ 0.5% - 1.0% ] 0.76%	72,173,047	10.6%
[ 1.0% - 1.5% ] 1.08%	49,304,075	10.5%
[ 1.0% - 1.5% ] 1.39%	33,950,891	9.8%
[ 1.5% - 2.0% ] 1.70%	26,076,823	10.4%
[ 2.0% - 2.5% ] 2.01%	16,139,939	10.5%
[ 2.0% - 2.5% ] 2.30%	11,444,410	10.2%
[ 2.5% - 3.0% ] 2.62%	7,251,156	11.8%
[ 2.5% - 3.0% ] 2.93%	5,957,024	10.4%
[ 3.0% - 3.5% ] 3.24%	4,638,433	11.6%
[ 3.5% - 4.0% ] 3.54%	5,140,300	11.1%
[ 3.5% - 4.0% ] 3.87%	3,799,721	10.8%
[ 4.0% - 4.5% ] 4.18%	2,924,072	11.7%
[ 4.0% - 4.5% ] 4.49%	2,473,891	11.2%
[ 4.5% - 5.0% ] 4.75%	11,220,615	17.6%
[ 5.0% - 5.5% ] 5.12%	2,529,991	12.3%
[ 5.0% - 5.5% ] 5.39%	1,713,229	13.3%
[ 5.5% - 6.0% ] 5.72%	1,880,648	9.5%
[ 6.0% - 6.5% ] 6.03%	1,499,502	11.9%
[ 6.0% - 6.5% ] 6.32%	1,132,393	13.7%
[ 6.5% - 7.0% ] 6.63%	893,528	12.5%
[ 6.5% - 7.0% ] 6.93%	1,419,641	17.4%
[ 7.0% - 7.5% ] 7.29%	715,662	9.5%
[ 7.5% - 8.0% ] 7.56%	850,563	16.7%
[ 7.5% - 8.0% ] 7.87%	600,493	9.5%
[ 8.0% - 8.5% ] 8.17%	727,758	14.5%
[ 8.5% - 9.0% ] 8.53%	774,739	14.2%
[ 8.5% - 9.0% ] 8.85%	460,827	16.2%
[ 9.0% - 9.5% ] 9.12%	547,039	10.6%
[ 9.0% - 9.5% ] 9.43%	761,996	11.5%
[ 9.5% - 10.0% ] 9.71%	328,330	18.3%
[ 10.0% - 10.5% ] 10.03%	519,831	10.8%
[ 10.0% - 10.5% ] 10.40%	318,964	17.4%
[ 10.5% - 11.0% ] 10.71%	353,853	11.9%
[ 11.0% - 11.5% ] 11.07%	750,665	18.2%
[ 11.0% - 11.5% ] 11.29%	200,360	15.0%
[ 11.5% - 12.0% ] 11.63%	347,234	18.7%
[ 11.5% - 12.0% ] 11.89%	688,310	12.6%
[ 12.0% - 12.5% ] 12.19%	156,662	18.5%
[ 12.0% - 12.5% ] 12.41%	280,842	11.7%
[ 12.5% - 13.0% ] 12.76%	806,726	19.6%
[ 13.0% - 13.5% ] 13.20%	406,746	21.3%
[ 13.5% - 14.0% ] 13.50%	191,017	11.6%
[ 13.5% - 14.0% ] 13.76%	441,041	16.4%
[ 14.0% - 14.5% ] 14.14%	325,844	11.7%
[ 14.0% - 14.5% ] 14.42%	221,432	11.0%
[ 14.5% - 15.0% ] 14.69%	204,047	9.0%
[ 14.5% - 15.0% ] 14.99%	233,373	12.3%
[ 15.0% - 15.5% ] 15.33%	406,294	14.5%
[ 15.5% - 16.0% ] 15.68%	266,981	12.3%
[ 15.5% - 16.0% ] 15.89%	187,486	12.8%
[ 16.0% - 16.5% ] 16.26%	312,081	13.5%
[ 16.5% - 17.0% ] 16.54%	242,654	11.0%
[ 16.5% - 17.0% ] 16.83%	150,168	13.4%
[ 17.0% - 17.5% ] 17.14%	88,295	10.2%
[ 17.5% - 18.0% ] 17.52%	19,785	7.5%
[ 17.5% - 18.0% ] 17.77%	240,694	20.3%
[ 18.0% - 18.5% ] 18.10%	85,976	12.9%
[ 18.0% - 18.5% ] 18.44%	88,154	13.2%
[ 18.5% - 19.0% ] 18.69%	40,999	15.5%
[ 19.0% - 19.5% ] 19.39%	111,443	11.7%
[ 19.5% - 20.0% ] 19.70%	84,368	17.4%
[ 19.5% - 20.0% ] 19.96%	147,206	18.2%
[ 20.0% - 20.5% ] 20.33%	22,724	7.3%
[ 20.5% - 21.0% ] 20.60%	71,060	23.6%
[ 20.5% - 21.0% ] 20.84%	158,259	12.6%
[ 21.0% - 21.5% ] 21.17%	109,891	18.6%
[ 21.5% - 22.0% ] 21.54%	31,140	15.8%
[ 21.5% - 22.0% ] 21.81%	240,443	20.1%
[ 22.0% - 22.5% ] 22.04%	57,353	10.8%
[ 22.0% - 22.5% ] 22.41%	104,764	12.5%
[ 22.5% - 23.0% ] 22.72%	10,396	15.3%
[ 23.0% - 23.5% ] 23.10%	64,260	11.5%
[ 23.0% - 23.5% ] 23.39%	174,565	16.2%
[ 23.5% - 24.0% ] 23.68%	230,389	17.3%
[ 23.5% - 24.0% ] 23.96%	59,843	12.9%
[ 24.0% - 24.5% ] 24.18%	8,718	22.3%
[ 24.5% - 25.0% ] 24.95%	20,760	12.7%
[ 25.0% - 25.5% ] 25.23%	5,164	7.4%
[ 25.0% - 25.5% ] 25.42%	101,739	18.6%
[ 25.5% - 26.0% ] 25.90%	35,967	17.5%
[ 26.0% - 26.5% ] 26.05%	56,757	6.1%
[ 26.0% - 26.5% ] 26.50%	21,935	9.2%
[ 26.5% - 27.0% ] 26.89%	89,647	9.9%
[ 27.0% - 27.5% ] 27.16%	42,956	15.5%
[ 27.0% - 27.5% ] 27.42%	44,878	7.0%
[ 27.5% - 28.0% ] 27.69%	89,577	9.4%
[ 28.0% - 28.5% ] 28.08%	67,090	16.1%
[ 28.0% - 28.5% ] 28.38%	458	2.9%
[ 28.5% - 29.0% ] 28.57%	20,971	3.1%
[ 28.5% - 29.0% ] 28.90%	80,522	12.0%
[ 29.0% - 29.5% ] 29.27%	26,364	15.0%
[ 29.0% - 29.5% ] 29.41%	22,540	3.1%
[ 30.0% - 30.5% ] 30.10%	23,734	2.9%
[ 31.0% - 31.5% ] 31.13%	11,069	25.6%
[ 31.0% - 31.5% ] 31.40%	15,732	3.3%
[ 32.0% - 32.5% ] 32.05%	2,811	0.90%
[ 35.0% - 35.5% ] 35.42%	68,029	4.3%
[ 36.0% - 36.5% ] 36.16%	31,514	6.6%
[ 38.0% - 38.5% ] 38.27%	4,656	7.3%
[ 38.5% - 39.0% ] 38.73%	1,761	16.9%
[ 40.0% - 40.5% ] 40.36%	14,639	1.8%
[ 40.5% - 41.0% ] 40.54%	14,572	1.8%
[ 41.0% - 41.5% ] 41.13%	5,843	5.2%
[ 42.0% - 42.5% ] 42.26%	6,186	3.7%
[ 49.5% - 50.0% ] 49.76%	1,873	5.3%
[ 50.5% - 51.0% ] 50.63%	2,718	9.2%
[ 61.5% - 62.0% ] 61.73%	139,642	7.8%

South American Receiving Food Stamps

COMPARE

South American Receiving Food Stamps Poor

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
Poor