Blackfeet Child Poverty Among Boys Under 16

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NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Child Poverty Among Boys Under 16
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Blackfeet Child Poverty Among Boys Under 16
Tragic

20.4%
POVERTY | BOYS < 16
0.0/ 100
METRIC RATING
289th/ 347
METRIC RANK

Blackfeet Child Poverty Among Boys Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 307,014,891 people shows a weak positive correlation between the proportion of Blackfeet and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.218 and weighted average of 20.4%. On average, for every 1% (one percent) increase in Blackfeet within a typical geography, there is an increase of 0.16% in poverty level among boys under the age of 16.
Blackfeet Child Poverty Among Boys Under 16
It is essential to understand that the correlation between the percentage of Blackfeet 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 Blackfeet influences an upward or downward trend in the level of poverty level among boys under the age of 16 within an area, or if Blackfeet 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 Blackfeet by Child Poverty Among Boys Under 16

In terms of child poverty among boys under 16, the demographic groups most similar to Blackfeet are Immigrants from St. Vincent and the Grenadines (20.3%, a difference of 0.24%), Immigrants from Belize (20.3%, a difference of 0.52%), West Indian (20.3%, a difference of 0.57%), Senegalese (20.6%, a difference of 0.91%), and Arapaho (20.2%, a difference of 0.92%).
DemographicsRating | RankChild Poverty Among Boys Under 16
Comanche
0.0
/100
|
#282
Tragic
20.1%
Immigrants from Jamaica
0.0
/100
|
#283
Tragic
20.1%
Barbadians
0.0
/100
|
#284
Tragic
20.2%
Arapaho
0.0
/100
|
#285
Tragic
20.2%
West Indians
0.0
/100
|
#286
Tragic
20.3%
Immigrants from Belize
0.0
/100
|
#287
Tragic
20.3%
Immigrants from St. Vincent and the Grenadines
0.0
/100
|
#288
Tragic
20.3%
Blackfeet
0.0
/100
|
#289
Tragic
20.4%
Senegalese
0.0
/100
|
#290
Tragic
20.6%
Immigrants from Latin America
0.0
/100
|
#291
Tragic
20.6%
Yaqui
0.0
/100
|
#292
Tragic
20.7%
Immigrants from Senegal
0.0
/100
|
#293
Tragic
20.7%
Immigrants from Bahamas
0.0
/100
|
#294
Tragic
20.7%
Mexicans
0.0
/100
|
#295
Tragic
20.7%
Indonesians
0.0
/100
|
#296
Tragic
20.8%

Blackfeet Child Poverty Among Boys Under 16 Correlation Summary

Measurement Blackfeet Data Child Poverty Among Boys Under 16 Data
Minimum 0.087% 18.5%
Maximum 92.8% 100.0%
Range 92.7% 81.5%
Mean 25.5% 40.3%
Median 10.8% 31.9%
Interquartile 25% (IQ1) 5.0% 25.7%
Interquartile 75% (IQ3) 32.8% 44.2%
Interquartile Range (IQR) 27.8% 18.6%
Standard Deviation (Sample) 31.0% 22.5%
Standard Deviation (Population) 30.6% 22.2%

Correlation Details

Blackfeet Percentile Sample Size Child Poverty Among Boys Under 16
[
0.0%
-
0.5%
]
0.087%
298,786,543 18.5%
[
0.5%
-
1.0%
]
0.68%
6,263,918 20.0%
[
1.0%
-
1.5%
]
1.20%
906,070 25.5%
[
1.5%
-
2.0%
]
1.73%
648,206 24.7%
[
2.0%
-
2.5%
]
2.20%
186,188 25.9%
[
2.5%
-
3.0%
]
2.70%
60,296 29.4%
[
3.0%
-
3.5%
]
3.23%
39,232 36.4%
[
3.5%
-
4.0%
]
3.78%
23,760 30.5%
[
4.0%
-
4.5%
]
4.26%
31,410 30.2%
[
4.5%
-
5.0%
]
4.69%
3,540 28.0%
[
5.0%
-
5.5%
]
5.35%
5,101 40.6%
[
5.5%
-
6.0%
]
5.85%
12,283 34.0%
[
6.0%
-
6.5%
]
6.26%
9,051 22.4%
[
6.5%
-
7.0%
]
6.68%
1,811 28.3%
[
7.0%
-
7.5%
]
7.23%
1,743 20.7%
[
7.5%
-
8.0%
]
7.63%
3,157 23.3%
[
8.0%
-
8.5%
]
8.41%
2,353 68.9%
[
8.5%
-
9.0%
]
8.78%
1,901 30.5%
[
9.5%
-
10.0%
]
9.59%
511 20.7%
[
10.0%
-
10.5%
]
10.32%
853 41.6%
[
11.0%
-
11.5%
]
11.21%
1,213 26.9%
[
12.0%
-
12.5%
]
12.24%
147 66.3%
[
12.5%
-
13.0%
]
12.78%
266 83.7%
[
13.0%
-
13.5%
]
13.20%
197 33.3%
[
13.5%
-
14.0%
]
13.68%
658 100.0%
[
17.5%
-
18.0%
]
17.94%
3,061 21.2%
[
22.5%
-
23.0%
]
22.98%
5,008 19.5%
[
23.5%
-
24.0%
]
23.53%
85 63.2%
[
24.5%
-
25.0%
]
24.88%
414 28.0%
[
32.0%
-
32.5%
]
32.06%
262 30.4%
[
33.5%
-
34.0%
]
33.61%
244 100.0%
[
40.5%
-
41.0%
]
40.90%
863 40.5%
[
46.5%
-
47.0%
]
46.67%
15 100.0%
[
82.0%
-
82.5%
]
82.35%
1,654 44.3%
[
84.0%
-
84.5%
]
84.09%
7,532 38.4%
[
85.5%
-
86.0%
]
85.65%
871 44.2%
[
88.0%
-
88.5%
]
88.34%
3,001 39.8%
[
89.5%
-
90.0%
]
89.96%
229 35.5%
[
90.0%
-
90.5%
]
90.43%
690 46.8%
[
92.5%
-
93.0%
]
92.78%
554 47.9%