Polish Female Unemployment

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Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch 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
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Female Unemployment
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Polish Female Unemployment
Exceptional

4.7%
UNEMPLOYMENT | FEMALES
99.9/ 100
METRIC RATING
19th/ 347
METRIC RANK

Polish Female Unemployment Correlation Chart

The statistical analysis conducted on geographies consisting of 548,133,946 people shows a moderate positive correlation between the proportion of Poles and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.407 and weighted average of 4.7%. On average, for every 1% (one percent) increase in Poles within a typical geography, there is an increase of 0.26% in unemploymnet rate among females.
Polish Female Unemployment
It is essential to understand that the correlation between the percentage of Poles and unemploymnet rate among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Poles influences an upward or downward trend in the level of unemploymnet rate among females within an area, or if Poles simply ended up residing in those areas with higher or lower levels of unemploymnet rate among females due to other factors.

Demographics Similar to Poles by Female Unemployment

In terms of female unemployment, the demographic groups most similar to Poles are Latvian (4.7%, a difference of 0.010%), Bulgarian (4.7%, a difference of 0.080%), Fijian (4.7%, a difference of 0.090%), European (4.7%, a difference of 0.11%), and Croatian (4.7%, a difference of 0.16%).
DemographicsRating | RankFemale Unemployment
Dutch
100.0
/100
|
#12
Exceptional
4.6%
Belgians
100.0
/100
|
#13
Exceptional
4.6%
Finns
100.0
/100
|
#14
Exceptional
4.6%
English
100.0
/100
|
#15
Exceptional
4.6%
Carpatho Rusyns
99.9
/100
|
#16
Exceptional
4.7%
Croatians
99.9
/100
|
#17
Exceptional
4.7%
Latvians
99.9
/100
|
#18
Exceptional
4.7%
Poles
99.9
/100
|
#19
Exceptional
4.7%
Bulgarians
99.9
/100
|
#20
Exceptional
4.7%
Fijians
99.9
/100
|
#21
Exceptional
4.7%
Europeans
99.9
/100
|
#22
Exceptional
4.7%
Scottish
99.9
/100
|
#23
Exceptional
4.7%
Welsh
99.9
/100
|
#24
Exceptional
4.7%
Immigrants from India
99.9
/100
|
#25
Exceptional
4.7%
Immigrants from Bosnia and Herzegovina
99.9
/100
|
#26
Exceptional
4.7%

Polish Female Unemployment Correlation Summary

MeasurementPolish DataFemale Unemployment Data
Minimum0.26%1.7%
Maximum57.9%50.0%
Range57.6%48.3%
Mean23.2%6.9%
Median22.1%4.5%
Interquartile 25% (IQ1)11.0%4.0%
Interquartile 75% (IQ3)33.7%5.3%
Interquartile Range (IQR)22.7%1.3%
Standard Deviation (Sample)14.6%9.1%
Standard Deviation (Population)14.5%9.1%

Correlation Details

Polish PercentileSample SizeFemale Unemployment
[
0.0%
-
0.5%
]
0.26%
82,692,9906.6%
[
0.5%
-
1.0%
]
0.76%
87,197,0265.5%
[
1.0%
-
1.5%
]
1.26%
80,777,0095.2%
[
1.5%
-
2.0%
]
1.74%
63,527,3554.9%
[
2.0%
-
2.5%
]
2.23%
56,480,2835.0%
[
2.5%
-
3.0%
]
2.75%
34,370,1844.5%
[
3.0%
-
3.5%
]
3.24%
26,015,1524.4%
[
3.5%
-
4.0%
]
3.76%
17,828,7504.6%
[
4.0%
-
4.5%
]
4.24%
13,858,6244.5%
[
4.5%
-
5.0%
]
4.74%
10,680,4104.4%
[
5.0%
-
5.5%
]
5.21%
11,548,3205.3%
[
5.5%
-
6.0%
]
5.75%
8,781,3744.5%
[
6.0%
-
6.5%
]
6.23%
6,704,2554.5%
[
6.5%
-
7.0%
]
6.74%
6,190,7374.7%
[
7.0%
-
7.5%
]
7.21%
4,947,8944.5%
[
7.5%
-
8.0%
]
7.74%
3,620,1474.7%
[
8.0%
-
8.5%
]
8.23%
4,526,0814.5%
[
8.5%
-
9.0%
]
8.75%
3,559,4104.4%
[
9.0%
-
9.5%
]
9.24%
2,957,1714.2%
[
9.5%
-
10.0%
]
9.75%
2,420,7024.0%
[
10.0%
-
10.5%
]
10.22%
1,830,3094.3%
[
10.5%
-
11.0%
]
10.76%
1,968,5354.2%
[
11.0%
-
11.5%
]
11.24%
1,811,3024.0%
[
11.5%
-
12.0%
]
11.72%
1,589,0274.5%
[
12.0%
-
12.5%
]
12.21%
1,434,2364.6%
[
12.5%
-
13.0%
]
12.77%
1,265,3294.0%
[
13.0%
-
13.5%
]
13.23%
1,235,4554.6%
[
13.5%
-
14.0%
]
13.77%
727,5623.7%
[
14.0%
-
14.5%
]
14.23%
1,008,8834.4%
[
14.5%
-
15.0%
]
14.72%
616,3414.5%
[
15.0%
-
15.5%
]
15.27%
715,6824.3%
[
15.5%
-
16.0%
]
15.73%
719,6574.0%
[
16.0%
-
16.5%
]
16.29%
810,8614.0%
[
16.5%
-
17.0%
]
16.74%
342,7723.9%
[
17.0%
-
17.5%
]
17.21%
343,0044.4%
[
17.5%
-
18.0%
]
17.72%
382,1774.0%
[
18.0%
-
18.5%
]
18.24%
331,7904.6%
[
18.5%
-
19.0%
]
18.80%
312,7433.7%
[
19.0%
-
19.5%
]
19.19%
166,1544.1%
[
19.5%
-
20.0%
]
19.77%
164,6264.0%
[
20.0%
-
20.5%
]
20.27%
196,6904.9%
[
20.5%
-
21.0%
]
20.69%
44,7495.6%
[
21.0%
-
21.5%
]
21.23%
76,5625.5%
[
21.5%
-
22.0%
]
21.80%
55,1942.7%
[
22.0%
-
22.5%
]
22.15%
134,7823.9%
[
22.5%
-
23.0%
]
22.72%
160,3373.2%
[
23.0%
-
23.5%
]
23.25%
92,0924.4%
[
23.5%
-
24.0%
]
23.66%
36,4235.3%
[
24.0%
-
24.5%
]
24.22%
132,2175.2%
[
24.5%
-
25.0%
]
24.76%
68,7445.1%
[
25.0%
-
25.5%
]
25.22%
111,5983.8%
[
25.5%
-
26.0%
]
25.75%
12,4441.7%
[
26.0%
-
26.5%
]
26.16%
116,6292.8%
[
26.5%
-
27.0%
]
26.89%
36,0245.1%
[
27.0%
-
27.5%
]
27.19%
15,2304.2%
[
27.5%
-
28.0%
]
27.72%
28,8334.3%
[
28.0%
-
28.5%
]
28.20%
10,9582.9%
[
28.5%
-
29.0%
]
28.76%
72,6193.5%
[
29.0%
-
29.5%
]
29.19%
8,6588.3%
[
29.5%
-
30.0%
]
29.59%
6,3202.4%
[
30.0%
-
30.5%
]
30.31%
26,8505.6%
[
30.5%
-
31.0%
]
30.73%
14,4794.8%
[
31.0%
-
31.5%
]
31.29%
79,3884.1%
[
31.5%
-
32.0%
]
31.57%
34,6093.7%
[
32.0%
-
32.5%
]
32.29%
29,4626.3%
[
32.5%
-
33.0%
]
32.65%
22,6921.9%
[
33.0%
-
33.5%
]
33.45%
2,6136.6%
[
33.5%
-
34.0%
]
33.88%
7324.8%
[
34.0%
-
34.5%
]
34.10%
5,9015.6%
[
34.5%
-
35.0%
]
34.80%
5232.1%
[
35.0%
-
35.5%
]
35.16%
1,16911.3%
[
35.5%
-
36.0%
]
35.59%
28144.4%
[
36.0%
-
36.5%
]
36.02%
42214.5%
[
37.0%
-
37.5%
]
37.12%
23,6769.8%
[
37.5%
-
38.0%
]
37.61%
2,0342.6%
[
38.5%
-
39.0%
]
38.54%
1,38310.6%
[
39.5%
-
40.0%
]
39.56%
7666.6%
[
42.0%
-
42.5%
]
42.06%
2,9362.9%
[
42.5%
-
43.0%
]
42.59%
10810.0%
[
43.0%
-
43.5%
]
43.46%
6655.0%
[
43.5%
-
44.0%
]
43.67%
24515.6%
[
46.0%
-
46.5%
]
46.15%
9148.1%
[
47.0%
-
47.5%
]
47.16%
1,9025.3%
[
48.5%
-
49.0%
]
48.78%
4147.4%
[
50.0%
-
50.5%
]
50.14%
2,1402.9%
[
51.0%
-
51.5%
]
51.10%
4994.7%
[
51.5%
-
52.0%
]
51.56%
2567.7%
[
55.5%
-
56.0%
]
55.84%
27450.0%
[
57.5%
-
58.0%
]
57.88%
3874.8%