Czech Receiving Food Stamps

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Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
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
Receiving Food Stamps
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Czech Receiving Food Stamps
Exceptional

9.2%
PUBLIC INCOME | FOOD STAMPS
99.8/ 100
METRIC RATING
28th/ 347
METRIC RANK

Czech Receiving Food Stamps Correlation Chart

The statistical analysis conducted on geographies consisting of 482,652,589 people shows a poor negative correlation between the proportion of Czechs and percentage of population receiving government assistance and/or food stamps in the United States with a correlation coefficient (R) of -0.183 and weighted average of 9.2%. On average, for every 1% (one percent) increase in Czechs within a typical geography, there is a decrease of 0.068% in percentage of population receiving government assistance and/or food stamps.
Czech Receiving Food Stamps
It is essential to understand that the correlation between the percentage of Czechs 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 Czechs 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 Czechs 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 Czechs by Receiving Food Stamps

In terms of receiving food stamps, the demographic groups most similar to Czechs are Bhutanese (9.2%, a difference of 0.010%), Swedish (9.2%, a difference of 0.25%), Immigrants from Lithuania (9.2%, a difference of 0.27%), Immigrants from Ireland (9.2%, a difference of 0.45%), and Immigrants from Northern Europe (9.2%, a difference of 0.55%).
DemographicsRating | RankReceiving Food Stamps
Luxembourgers
99.8
/100
|
#21
Exceptional
9.1%
Immigrants from Australia
99.8
/100
|
#22
Exceptional
9.2%
Eastern Europeans
99.8
/100
|
#23
Exceptional
9.2%
Immigrants from Northern Europe
99.8
/100
|
#24
Exceptional
9.2%
Immigrants from Ireland
99.8
/100
|
#25
Exceptional
9.2%
Swedes
99.8
/100
|
#26
Exceptional
9.2%
Bhutanese
99.8
/100
|
#27
Exceptional
9.2%
Czechs
99.8
/100
|
#28
Exceptional
9.2%
Immigrants from Lithuania
99.8
/100
|
#29
Exceptional
9.2%
Immigrants from Sweden
99.7
/100
|
#30
Exceptional
9.3%
Immigrants from Eastern Asia
99.7
/100
|
#31
Exceptional
9.3%
Bolivians
99.7
/100
|
#32
Exceptional
9.3%
Zimbabweans
99.6
/100
|
#33
Exceptional
9.5%
Turks
99.6
/100
|
#34
Exceptional
9.5%
Immigrants from Austria
99.6
/100
|
#35
Exceptional
9.5%

Czech Receiving Food Stamps Correlation Summary

Measurement Czech Data Receiving Food Stamps Data
Minimum 0.15% 0.40%
Maximum 60.9% 38.7%
Range 60.7% 38.3%
Mean 21.5% 8.3%
Median 18.9% 7.5%
Interquartile 25% (IQ1) 9.4% 4.9%
Interquartile 75% (IQ3) 31.6% 9.7%
Interquartile Range (IQR) 22.3% 4.8%
Standard Deviation (Sample) 14.8% 5.5%
Standard Deviation (Population) 14.7% 5.4%

Correlation Details

Czech Percentile Sample Size Receiving Food Stamps
[
0.0%
-
0.5%
]
0.15%
277,303,328 13.2%
[
0.0%
-
0.5%
]
0.43%
115,485,445 9.6%
[
0.5%
-
1.0%
]
0.75%
39,109,851 8.0%
[
1.0%
-
1.5%
]
1.06%
18,999,416 7.8%
[
1.0%
-
1.5%
]
1.38%
10,589,133 7.1%
[
1.5%
-
2.0%
]
1.69%
6,417,352 7.3%
[
2.0%
-
2.5%
]
2.01%
3,994,749 7.3%
[
2.0%
-
2.5%
]
2.30%
2,156,845 8.3%
[
2.5%
-
3.0%
]
2.61%
1,633,450 7.3%
[
2.5%
-
3.0%
]
2.92%
1,139,343 8.2%
[
3.0%
-
3.5%
]
3.23%
1,293,434 8.6%
[
3.5%
-
4.0%
]
3.55%
591,626 7.3%
[
3.5%
-
4.0%
]
3.89%
413,706 9.3%
[
4.0%
-
4.5%
]
4.14%
607,700 8.9%
[
4.0%
-
4.5%
]
4.49%
621,589 8.5%
[
4.5%
-
5.0%
]
4.79%
451,239 7.3%
[
5.0%
-
5.5%
]
5.06%
311,107 6.6%
[
5.0%
-
5.5%
]
5.36%
268,838 8.5%
[
5.5%
-
6.0%
]
5.65%
85,429 8.3%
[
5.5%
-
6.0%
]
6.00%
93,677 8.8%
[
6.0%
-
6.5%
]
6.29%
73,703 10.3%
[
6.5%
-
7.0%
]
6.62%
126,194 8.0%
[
6.5%
-
7.0%
]
6.96%
66,197 11.0%
[
7.0%
-
7.5%
]
7.32%
75,499 10.1%
[
7.5%
-
8.0%
]
7.55%
75,966 8.3%
[
7.5%
-
8.0%
]
7.85%
68,574 7.7%
[
8.0%
-
8.5%
]
8.23%
63,408 7.1%
[
8.0%
-
8.5%
]
8.47%
47,449 9.7%
[
8.5%
-
9.0%
]
8.81%
31,483 8.1%
[
9.0%
-
9.5%
]
9.06%
14,705 7.8%
[
9.0%
-
9.5%
]
9.39%
12,541 6.2%
[
9.5%
-
10.0%
]
9.70%
22,361 7.4%
[
9.5%
-
10.0%
]
9.97%
20,461 14.2%
[
10.0%
-
10.5%
]
10.35%
26,215 7.1%
[
10.5%
-
11.0%
]
10.61%
11,508 12.0%
[
10.5%
-
11.0%
]
10.97%
34,891 10.6%
[
11.0%
-
11.5%
]
11.26%
31,236 8.0%
[
11.5%
-
12.0%
]
11.54%
9,944 8.2%
[
11.5%
-
12.0%
]
11.87%
6,750 7.7%
[
12.0%
-
12.5%
]
12.19%
13,384 6.1%
[
12.0%
-
12.5%
]
12.43%
11,000 8.6%
[
12.5%
-
13.0%
]
12.77%
9,523 7.5%
[
13.0%
-
13.5%
]
13.13%
4,737 8.6%
[
13.0%
-
13.5%
]
13.50%
12,886 6.8%
[
13.5%
-
14.0%
]
13.86%
2,049 9.7%
[
13.5%
-
14.0%
]
13.99%
26,507 4.9%
[
14.0%
-
14.5%
]
14.42%
9,985 5.1%
[
14.5%
-
15.0%
]
14.73%
5,771 21.4%
[
15.0%
-
15.5%
]
15.05%
12,567 11.9%
[
15.0%
-
15.5%
]
15.26%
3,991 6.2%
[
15.5%
-
16.0%
]
15.60%
19,825 13.0%
[
15.5%
-
16.0%
]
15.86%
3,965 11.6%
[
16.0%
-
16.5%
]
16.06%
965 11.4%
[
16.0%
-
16.5%
]
16.50%
1,491 14.7%
[
16.5%
-
17.0%
]
16.88%
4,491 8.8%
[
17.0%
-
17.5%
]
17.27%
5,624 6.3%
[
17.0%
-
17.5%
]
17.50%
3,063 5.8%
[
17.5%
-
18.0%
]
17.70%
5,977 10.1%
[
18.0%
-
18.5%
]
18.04%
7,688 15.3%
[
18.0%
-
18.5%
]
18.33%
6,613 11.9%
[
18.5%
-
19.0%
]
18.62%
1,391 4.3%
[
19.0%
-
19.5%
]
19.09%
330 5.8%
[
19.0%
-
19.5%
]
19.30%
2,150 8.3%
[
19.5%
-
20.0%
]
19.56%
1,953 3.7%
[
20.0%
-
20.5%
]
20.23%
2,027 4.6%
[
20.0%
-
20.5%
]
20.49%
7,120 8.2%
[
20.5%
-
21.0%
]
20.91%
2,004 7.0%
[
21.0%
-
21.5%
]
21.16%
7,901 6.2%
[
21.5%
-
22.0%
]
21.66%
2,105 5.9%
[
22.0%
-
22.5%
]
22.28%
7,132 4.1%
[
22.5%
-
23.0%
]
22.71%
317 10.4%
[
23.0%
-
23.5%
]
23.10%
1,026 5.5%
[
23.0%
-
23.5%
]
23.29%
73 22.6%
[
23.5%
-
24.0%
]
23.55%
8,642 7.0%
[
24.0%
-
24.5%
]
24.29%
708 6.9%
[
24.5%
-
25.0%
]
24.62%
1,653 17.0%
[
25.0%
-
25.5%
]
25.00%
332 3.5%
[
25.0%
-
25.5%
]
25.22%
3,930 12.7%
[
25.0%
-
25.5%
]
25.37%
134 30.9%
[
25.5%
-
26.0%
]
25.71%
494 2.6%
[
26.5%
-
27.0%
]
26.89%
212 38.7%
[
27.0%
-
27.5%
]
27.41%
321 5.0%
[
27.5%
-
28.0%
]
27.72%
2,244 2.1%
[
28.0%
-
28.5%
]
28.39%
560 4.3%
[
28.5%
-
29.0%
]
28.51%
7,766 10.9%
[
28.5%
-
29.0%
]
28.80%
184 4.5%
[
29.5%
-
30.0%
]
29.76%
1,929 4.8%
[
30.0%
-
30.5%
]
30.19%
4,942 11.7%
[
30.0%
-
30.5%
]
30.38%
609 19.3%
[
30.5%
-
31.0%
]
30.72%
1,605 4.5%
[
31.0%
-
31.5%
]
31.45%
477 7.9%
[
31.5%
-
32.0%
]
31.65%
79 16.2%
[
32.0%
-
32.5%
]
32.00%
75 7.1%
[
32.5%
-
33.0%
]
32.94%
513 4.7%
[
33.0%
-
33.5%
]
33.33%
81 15.8%
[
33.0%
-
33.5%
]
33.48%
1,643 4.2%
[
33.5%
-
34.0%
]
33.71%
5,443 5.2%
[
34.0%
-
34.5%
]
34.17%
120 8.1%
[
34.0%
-
34.5%
]
34.31%
204 2.6%
[
35.5%
-
36.0%
]
35.60%
663 7.5%
[
35.5%
-
36.0%
]
35.97%
620 3.0%
[
37.0%
-
37.5%
]
37.03%
1,345 5.3%
[
37.0%
-
37.5%
]
37.45%
275 3.7%
[
39.0%
-
39.5%
]
39.14%
350 4.1%
[
39.5%
-
40.0%
]
39.95%
2,095 3.6%
[
40.5%
-
41.0%
]
40.59%
2,237 1.8%
[
40.5%
-
41.0%
]
40.87%
115 1.6%
[
42.0%
-
42.5%
]
42.07%
290 1.6%
[
42.5%
-
43.0%
]
42.82%
425 5.2%
[
43.5%
-
44.0%
]
43.97%
630 4.5%
[
45.0%
-
45.5%
]
45.29%
616 4.0%
[
45.5%
-
46.0%
]
45.67%
635 4.4%
[
45.5%
-
46.0%
]
45.90%
366 4.2%
[
46.5%
-
47.0%
]
46.81%
376 1.1%
[
48.0%
-
48.5%
]
48.06%
697 19.7%
[
48.0%
-
48.5%
]
48.25%
342 0.70%
[
48.0%
-
48.5%
]
48.49%
365 0.60%
[
49.5%
-
50.0%
]
49.54%
109 5.7%
[
52.5%
-
53.0%
]
52.57%
253 0.80%
[
55.0%
-
55.5%
]
55.28%
123 14.3%
[
56.0%
-
56.5%
]
56.39%
454 0.40%
[
60.5%
-
61.0%
]
60.90%
335 12.9%