Pima vs Czech Unemployment Among Ages 30 to 34 years
COMPARE
Pima
Czech
Unemployment Among Ages 30 to 34 years
Unemployment Among Ages 30 to 34 years Comparison
Pima
Czechs
9.6%
UNEMPLOYMENT AMONG AGES 30 TO 34 YEARS
0.0/ 100
METRIC RATING
337th/ 347
METRIC RANK
5.0%
UNEMPLOYMENT AMONG AGES 30 TO 34 YEARS
99.2/ 100
METRIC RATING
36th/ 347
METRIC RANK
Pima vs Czech Unemployment Among Ages 30 to 34 years Correlation Chart
The statistical analysis conducted on geographies consisting of 60,756,236 people shows a weak positive correlation between the proportion of Pima and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.204 and weighted average of 9.6%. Similarly, the statistical analysis conducted on geographies consisting of 438,540,719 people shows a weak positive correlation between the proportion of Czechs and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.240 and weighted average of 5.0%, a difference of 92.6%.
Unemployment Among Ages 30 to 34 years Correlation Summary
| Measurement | Pima | Czech |
| Minimum | 5.9% | 0.50% |
| Maximum | 100.0% | 51.6% |
| Range | 94.1% | 51.1% |
| Mean | 29.8% | 9.5% |
| Median | 17.3% | 5.6% |
| Interquartile 25% (IQ1) | 8.4% | 4.2% |
| Interquartile 75% (IQ3) | 37.3% | 11.0% |
| Interquartile Range (IQR) | 28.9% | 6.7% |
| Standard Deviation (Sample) | 30.1% | 9.8% |
| Standard Deviation (Population) | 29.3% | 9.7% |
Similar Demographics by Unemployment Among Ages 30 to 34 years
Demographics Similar to Pima by Unemployment Among Ages 30 to 34 years
In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Pima are Yakama (9.8%, a difference of 1.1%), Tohono O'odham (9.8%, a difference of 1.9%), Colville (9.0%, a difference of 6.7%), Crow (10.3%, a difference of 7.2%), and Puerto Rican (8.9%, a difference of 8.7%).
| Demographics | Rating | Rank | Unemployment Among Ages 30 to 34 years |
| Shoshone | 0.0 /100 | #330 | Tragic 7.9% |
| Sioux | 0.0 /100 | #331 | Tragic 8.0% |
| Natives/Alaskans | 0.0 /100 | #332 | Tragic 8.2% |
| Pueblo | 0.0 /100 | #333 | Tragic 8.3% |
| Alaska Natives | 0.0 /100 | #334 | Tragic 8.5% |
| Puerto Ricans | 0.0 /100 | #335 | Tragic 8.9% |
| Colville | 0.0 /100 | #336 | Tragic 9.0% |
| Pima | 0.0 /100 | #337 | Tragic 9.6% |
| Yakama | 0.0 /100 | #338 | Tragic 9.8% |
| Tohono O'odham | 0.0 /100 | #339 | Tragic 9.8% |
| Crow | 0.0 /100 | #340 | Tragic 10.3% |
| Navajo | 0.0 /100 | #341 | Tragic 10.6% |
| Yuman | 0.0 /100 | #342 | Tragic 10.6% |
| Inupiat | 0.0 /100 | #343 | Tragic 10.8% |
| Hopi | 0.0 /100 | #344 | Tragic 11.9% |
Demographics Similar to Czechs by Unemployment Among Ages 30 to 34 years
In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Czechs are Immigrants from Ethiopia (5.0%, a difference of 0.040%), Immigrants from Turkey (5.0%, a difference of 0.25%), Sri Lankan (5.0%, a difference of 0.25%), Latvian (5.0%, a difference of 0.28%), and Immigrants from Saudi Arabia (5.0%, a difference of 0.32%).
| Demographics | Rating | Rank | Unemployment Among Ages 30 to 34 years |
| German Russians | 99.4 /100 | #29 | Exceptional 5.0% |
| Norwegians | 99.4 /100 | #30 | Exceptional 5.0% |
| Somalis | 99.3 /100 | #31 | Exceptional 5.0% |
| Immigrants | Zaire | 99.3 /100 | #32 | Exceptional 5.0% |
| Immigrants | Saudi Arabia | 99.3 /100 | #33 | Exceptional 5.0% |
| Latvians | 99.3 /100 | #34 | Exceptional 5.0% |
| Immigrants | Ethiopia | 99.2 /100 | #35 | Exceptional 5.0% |
| Czechs | 99.2 /100 | #36 | Exceptional 5.0% |
| Immigrants | Turkey | 99.0 /100 | #37 | Exceptional 5.0% |
| Sri Lankans | 99.0 /100 | #38 | Exceptional 5.0% |
| Fijians | 99.0 /100 | #39 | Exceptional 5.0% |
| Immigrants | Vietnam | 98.9 /100 | #40 | Exceptional 5.0% |
| Immigrants | Eastern Africa | 98.9 /100 | #41 | Exceptional 5.0% |
| Immigrants | Hong Kong | 98.8 /100 | #42 | Exceptional 5.0% |
| Soviet Union | 98.8 /100 | #43 | Exceptional 5.0% |