English Child Poverty Among Boys Under 16

The statistical analysis conducted on geographies consisting of 556,516,168 people shows a significant positive correlation between the proportion of English and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.612 and weighted average of 15.1%. On average, for every 1% (one percent) increase in English within a typical geography, there is an increase of 0.67% in poverty level among boys under the age of 16.

It is essential to understand that the correlation between the percentage of English and poverty level among boys under the age of 16 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of English influences an upward or downward trend in the level of poverty level among boys under the age of 16 within an area, or if English simply ended up residing in those areas with higher or lower levels of poverty level among boys under the age of 16 due to other factors.

Demographics Similar to English by Child Poverty Among Boys Under 16

In terms of child poverty among boys under 16, the demographic groups most similar to English are Immigrants from Zimbabwe (15.2%, a difference of 0.050%), Basque (15.2%, a difference of 0.25%), Pakistani (15.1%, a difference of 0.26%), Irish (15.2%, a difference of 0.29%), and Immigrants from England (15.1%, a difference of 0.30%).

Demographics	Rating \| Rank	Child Poverty Among Boys Under 16
Immigrants from Denmark	95.6 /100 \| #103	Exceptional 15.0%
Immigrants from Switzerland	95.4 /100 \| #104	Exceptional 15.0%
Dutch	95.4 /100 \| #105	Exceptional 15.0%
Serbians	95.2 /100 \| #106	Exceptional 15.1%
Jordanians	95.1 /100 \| #107	Exceptional 15.1%
Immigrants from England	94.8 /100 \| #108	Exceptional 15.1%
Pakistanis	94.7 /100 \| #109	Exceptional 15.1%
English	94.3 /100 \| #110	Exceptional 15.1%
Immigrants from Zimbabwe	94.2 /100 \| #111	Exceptional 15.2%
Basques	93.8 /100 \| #112	Exceptional 15.2%
Irish	93.8 /100 \| #113	Exceptional 15.2%
Immigrants from Ukraine	93.6 /100 \| #114	Exceptional 15.2%
Armenians	93.6 /100 \| #115	Exceptional 15.2%
Immigrants from South Eastern Asia	93.5 /100 \| #116	Exceptional 15.2%
Immigrants from Vietnam	93.5 /100 \| #117	Exceptional 15.2%

English Child Poverty Among Boys Under 16 Correlation Summary

Measurement	English Data	Child Poverty Among Boys Under 16 Data
Minimum	0.25%	4.3%
Maximum	86.4%	100.0%
Range	86.1%	95.7%
Mean	34.2%	25.5%
Median	32.7%	16.4%
Interquartile 25% (IQ1)	16.3%	12.4%
Interquartile 75% (IQ3)	49.2%	28.2%
Interquartile Range (IQR)	33.0%	15.8%
Standard Deviation (Sample)	21.3%	23.3%
Standard Deviation (Population)	21.2%	23.2%

Correlation Details

English Percentile	Sample Size	Child Poverty Among Boys Under 16
[ 0.0% - 0.5% ] 0.25%	19,509,911	31.7%
[ 0.5% - 1.0% ] 0.76%	12,894,299	28.2%
[ 1.0% - 1.5% ] 1.24%	12,863,105	24.8%
[ 1.5% - 2.0% ] 1.81%	22,398,481	22.9%
[ 2.0% - 2.5% ] 2.25%	14,126,237	22.0%
[ 2.5% - 3.0% ] 2.77%	14,215,484	21.9%
[ 3.0% - 3.5% ] 3.23%	20,062,565	22.2%
[ 3.5% - 4.0% ] 3.75%	17,469,502	19.6%
[ 4.0% - 4.5% ] 4.25%	16,449,905	20.9%
[ 4.5% - 5.0% ] 4.72%	18,530,652	21.7%
[ 5.0% - 5.5% ] 5.25%	18,954,652	19.3%
[ 5.5% - 6.0% ] 5.75%	17,887,007	18.8%
[ 6.0% - 6.5% ] 6.28%	21,215,507	19.2%
[ 6.5% - 7.0% ] 6.75%	24,690,955	18.3%
[ 7.0% - 7.5% ] 7.26%	20,951,759	16.8%
[ 7.5% - 8.0% ] 7.74%	18,819,748	16.9%
[ 8.0% - 8.5% ] 8.25%	20,683,202	16.4%
[ 8.5% - 9.0% ] 8.74%	20,699,928	16.5%
[ 9.0% - 9.5% ] 9.26%	20,369,716	14.9%
[ 9.5% - 10.0% ] 9.75%	18,848,731	15.2%
[ 10.0% - 10.5% ] 10.24%	19,325,821	15.9%
[ 10.5% - 11.0% ] 10.75%	19,585,638	14.0%
[ 11.0% - 11.5% ] 11.24%	17,236,328	14.4%
[ 11.5% - 12.0% ] 11.74%	16,363,408	13.3%
[ 12.0% - 12.5% ] 12.25%	13,219,060	13.2%
[ 12.5% - 13.0% ] 12.75%	12,649,031	13.3%
[ 13.0% - 13.5% ] 13.25%	11,966,346	12.0%
[ 13.5% - 14.0% ] 13.74%	9,753,508	11.7%
[ 14.0% - 14.5% ] 14.26%	9,487,103	11.3%
[ 14.5% - 15.0% ] 14.74%	7,977,198	11.5%
[ 15.0% - 15.5% ] 15.24%	6,795,977	11.9%
[ 15.5% - 16.0% ] 15.73%	5,983,192	12.3%
[ 16.0% - 16.5% ] 16.26%	4,538,814	11.4%
[ 16.5% - 17.0% ] 16.74%	3,495,602	11.1%
[ 17.0% - 17.5% ] 17.25%	3,325,758	11.4%
[ 17.5% - 18.0% ] 17.73%	3,113,045	11.3%
[ 18.0% - 18.5% ] 18.28%	2,696,891	12.9%
[ 18.5% - 19.0% ] 18.73%	1,455,916	12.0%
[ 19.0% - 19.5% ] 19.24%	1,750,257	13.6%
[ 19.5% - 20.0% ] 19.75%	1,360,719	13.4%
[ 20.0% - 20.5% ] 20.24%	1,262,183	13.3%
[ 20.5% - 21.0% ] 20.73%	846,643	13.9%
[ 21.0% - 21.5% ] 21.22%	937,980	16.6%
[ 21.5% - 22.0% ] 21.75%	673,564	13.0%
[ 22.0% - 22.5% ] 22.24%	803,938	14.3%
[ 22.5% - 23.0% ] 22.76%	662,286	12.4%
[ 23.0% - 23.5% ] 23.21%	401,444	15.9%
[ 23.5% - 24.0% ] 23.74%	457,534	14.6%
[ 24.0% - 24.5% ] 24.21%	564,336	14.2%
[ 24.5% - 25.0% ] 24.69%	447,054	14.4%
[ 25.0% - 25.5% ] 25.22%	494,948	14.0%
[ 25.5% - 26.0% ] 25.72%	454,144	9.8%
[ 26.0% - 26.5% ] 26.22%	384,992	13.0%
[ 26.5% - 27.0% ] 26.74%	601,137	9.7%
[ 27.0% - 27.5% ] 27.18%	269,113	13.2%
[ 27.5% - 28.0% ] 27.76%	313,914	13.7%
[ 28.0% - 28.5% ] 28.32%	270,324	12.1%
[ 28.5% - 29.0% ] 28.71%	155,521	13.4%
[ 29.0% - 29.5% ] 29.25%	342,513	8.6%
[ 29.5% - 30.0% ] 29.75%	216,180	9.2%
[ 30.0% - 30.5% ] 30.26%	111,559	9.5%
[ 30.5% - 31.0% ] 30.71%	228,792	12.4%
[ 31.0% - 31.5% ] 31.21%	240,202	14.0%
[ 31.5% - 32.0% ] 31.75%	306,850	6.1%
[ 32.0% - 32.5% ] 32.19%	163,599	12.1%
[ 32.5% - 33.0% ] 32.71%	108,327	12.4%
[ 33.0% - 33.5% ] 33.14%	67,759	7.3%
[ 33.5% - 34.0% ] 33.78%	27,532	21.8%
[ 34.0% - 34.5% ] 34.21%	51,782	11.4%
[ 34.5% - 35.0% ] 34.56%	246,921	5.9%
[ 35.0% - 35.5% ] 35.18%	104,583	10.1%
[ 35.5% - 36.0% ] 35.84%	133,527	9.7%
[ 36.0% - 36.5% ] 36.11%	36,324	11.5%
[ 36.5% - 37.0% ] 36.69%	12,648	26.3%
[ 37.0% - 37.5% ] 37.29%	7,519	40.3%
[ 37.5% - 38.0% ] 37.82%	74,142	6.4%
[ 38.0% - 38.5% ] 38.37%	97,481	7.8%
[ 38.5% - 39.0% ] 38.86%	11,728	18.7%
[ 39.0% - 39.5% ] 39.16%	18,584	20.5%
[ 39.5% - 40.0% ] 39.79%	10,944	11.9%
[ 40.0% - 40.5% ] 40.35%	16,922	21.8%
[ 40.5% - 41.0% ] 40.67%	10,166	17.5%
[ 41.0% - 41.5% ] 41.22%	4,207	27.6%
[ 41.5% - 42.0% ] 41.78%	2,853	35.9%
[ 42.0% - 42.5% ] 42.23%	18,599	27.9%
[ 42.5% - 43.0% ] 42.80%	9,451	32.9%
[ 43.0% - 43.5% ] 43.22%	5,747	34.9%
[ 43.5% - 44.0% ] 43.84%	1,866	50.4%
[ 44.0% - 44.5% ] 44.33%	1,525	44.8%
[ 44.5% - 45.0% ] 44.63%	11,776	14.4%
[ 45.0% - 45.5% ] 45.12%	24,794	8.0%
[ 45.5% - 46.0% ] 45.76%	7,723	32.3%
[ 46.0% - 46.5% ] 46.13%	8,073	32.0%
[ 46.5% - 47.0% ] 46.69%	4,686	7.7%
[ 47.0% - 47.5% ] 47.38%	5,325	39.9%
[ 47.5% - 48.0% ] 47.85%	2,863	19.6%
[ 48.0% - 48.5% ] 48.24%	1,565	21.3%
[ 48.5% - 49.0% ] 48.85%	1,564	21.8%
[ 49.0% - 49.5% ] 49.24%	1,188	41.0%
[ 49.5% - 50.0% ] 49.83%	2,372	23.2%
[ 50.0% - 50.5% ] 50.30%	3,521	57.3%
[ 50.5% - 51.0% ] 50.90%	4,648	31.4%
[ 51.0% - 51.5% ] 51.07%	327	22.7%
[ 52.5% - 53.0% ] 52.75%	563	30.8%
[ 53.5% - 54.0% ] 53.77%	1,964	16.1%
[ 54.0% - 54.5% ] 54.15%	1,132	14.9%
[ 54.5% - 55.0% ] 54.63%	1,349	36.5%
[ 55.0% - 55.5% ] 55.42%	664	88.0%
[ 56.0% - 56.5% ] 56.42%	966	4.3%
[ 57.5% - 58.0% ] 57.58%	297	37.5%
[ 58.0% - 58.5% ] 58.40%	702	100.0%
[ 58.5% - 59.0% ] 58.85%	1,565	26.6%
[ 59.0% - 59.5% ] 59.30%	86	35.7%
[ 60.0% - 60.5% ] 60.45%	986	14.8%
[ 61.0% - 61.5% ] 61.01%	1,490	4.9%
[ 61.5% - 62.0% ] 61.93%	859	18.0%
[ 62.0% - 62.5% ] 62.09%	1,274	23.1%
[ 62.5% - 63.0% ] 62.71%	759	68.2%
[ 63.0% - 63.5% ] 63.45%	632	32.7%
[ 64.5% - 65.0% ] 64.63%	294	89.7%
[ 68.0% - 68.5% ] 68.39%	791	37.2%
[ 70.5% - 71.0% ] 70.63%	555	66.7%
[ 71.5% - 72.0% ] 71.68%	399	100.0%
[ 72.0% - 72.5% ] 72.20%	2,284	39.2%
[ 72.5% - 73.0% ] 72.73%	187	100.0%
[ 74.5% - 75.0% ] 74.52%	208	100.0%
[ 75.0% - 75.5% ] 75.50%	951	100.0%
[ 76.5% - 77.0% ] 76.72%	640	15.6%
[ 77.5% - 78.0% ] 77.64%	331	100.0%
[ 78.0% - 78.5% ] 78.26%	368	80.4%
[ 86.0% - 86.5% ] 86.38%	602	100.0%

English Child Poverty Among Boys Under 16

COMPARE

English Child Poverty Among Boys Under 16Exceptional

English Child Poverty Among Boys Under 16 Correlation Chart

Demographics Similar to English by Child Poverty Among Boys Under 16

English Child Poverty Among Boys Under 16 Correlation Summary

Correlation Details

English Child Poverty Among Boys Under 16
Exceptional