Crow Unemployment
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Crow
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Unemployment
Crow Unemployment
11.1%
UNEMPLOYMENT
0.0/ 100
METRIC RATING
346th/ 347
METRIC RANK
Crow Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 59,183,327 people shows a moderate positive correlation between the proportion of Crow and unemployment in the United States with a correlation coefficient (R) of 0.499 and weighted average of 11.1%. On average, for every 1% (one percent) increase in Crow within a typical geography, there is an increase of 0.13% in unemployment.
It is essential to understand that the correlation between the percentage of Crow and unemployment does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Crow influences an upward or downward trend in the level of unemployment within an area, or if Crow simply ended up residing in those areas with higher or lower levels of unemployment due to other factors.
Demographics Similar to Crow by Unemployment
In terms of unemployment, the demographic groups most similar to Crow are Inupiat (10.1%, a difference of 9.4%), Arapaho (9.8%, a difference of 12.6%), Yuman (9.1%, a difference of 22.0%), Yup'ik (13.6%, a difference of 23.3%), and Hopi (8.9%, a difference of 24.1%).
| Demographics | Rating | Rank | Unemployment |
| Immigrants from Dominican Republic | 0.0 /100 | #333 | Tragic 7.4% |
| Apache | 0.0 /100 | #334 | Tragic 7.4% |
| Alaskan Athabascans | 0.0 /100 | #335 | Tragic 7.7% |
| Immigrants from Yemen | 0.0 /100 | #336 | Tragic 7.7% |
| Cheyenne | 0.0 /100 | #337 | Tragic 8.0% |
| Pima | 0.0 /100 | #338 | Tragic 8.2% |
| Navajo | 0.0 /100 | #339 | Tragic 8.4% |
| Puerto Ricans | 0.0 /100 | #340 | Tragic 8.4% |
| Tohono O'odham | 0.0 /100 | #341 | Tragic 8.9% |
| Hopi | 0.0 /100 | #342 | Tragic 8.9% |
| Yuman | 0.0 /100 | #343 | Tragic 9.1% |
| Arapaho | 0.0 /100 | #344 | Tragic 9.8% |
| Inupiat | 0.0 /100 | #345 | Tragic 10.1% |
| Crow | 0.0 /100 | #346 | Tragic 11.1% |
| Yup'ik | 0.0 /100 | #347 | Tragic 13.6% |
Crow Unemployment Correlation Summary
| Measurement | Crow Data | Unemployment Data |
| Minimum | 0.023% | 3.9% |
| Maximum | 93.4% | 40.5% |
| Range | 93.4% | 36.6% |
| Mean | 31.9% | 13.7% |
| Median | 11.4% | 11.9% |
| Interquartile 25% (IQ1) | 3.7% | 6.1% |
| Interquartile 75% (IQ3) | 72.7% | 19.6% |
| Interquartile Range (IQR) | 68.9% | 13.5% |
| Standard Deviation (Sample) | 35.1% | 9.3% |
| Standard Deviation (Population) | 34.6% | 9.2% |
Correlation Details
| Crow Percentile | Sample Size | Unemployment |
[ 0.0% - 0.5% ] 0.023% | 58,524,414 | 5.6% |
[ 0.5% - 1.0% ] 0.59% | 292,180 | 5.0% |
[ 1.0% - 1.5% ] 1.26% | 166,103 | 5.2% |
[ 1.5% - 2.0% ] 1.61% | 92,351 | 5.5% |
[ 2.0% - 2.5% ] 2.05% | 6,236 | 3.9% |
[ 2.0% - 2.5% ] 2.45% | 49,170 | 6.2% |
[ 2.5% - 3.0% ] 2.86% | 1,957 | 5.7% |
[ 3.0% - 3.5% ] 3.26% | 10,918 | 6.1% |
[ 4.0% - 4.5% ] 4.20% | 1,358 | 20.5% |
[ 4.5% - 5.0% ] 4.98% | 5,083 | 4.4% |
[ 5.0% - 5.5% ] 5.10% | 1,019 | 7.5% |
[ 5.5% - 6.0% ] 5.79% | 1,953 | 19.4% |
[ 6.5% - 7.0% ] 6.61% | 4,223 | 16.8% |
[ 6.5% - 7.0% ] 7.00% | 729 | 24.1% |
[ 9.0% - 9.5% ] 9.45% | 2,064 | 27.2% |
[ 10.0% - 10.5% ] 10.08% | 2,817 | 12.2% |
[ 11.0% - 11.5% ] 11.36% | 176 | 11.9% |
[ 13.5% - 14.0% ] 13.79% | 428 | 9.3% |
[ 15.5% - 16.0% ] 15.56% | 1,125 | 13.0% |
[ 22.0% - 22.5% ] 22.35% | 783 | 17.7% |
[ 32.5% - 33.0% ] 32.75% | 3,985 | 6.6% |
[ 35.0% - 35.5% ] 35.12% | 5,199 | 7.0% |
[ 40.0% - 40.5% ] 40.12% | 172 | 6.8% |
[ 56.0% - 56.5% ] 56.41% | 78 | 21.1% |
[ 68.0% - 68.5% ] 68.23% | 576 | 11.5% |
[ 77.0% - 77.5% ] 77.09% | 1,602 | 12.3% |
[ 79.5% - 80.0% ] 79.96% | 459 | 12.3% |
[ 85.5% - 86.0% ] 85.61% | 660 | 19.8% |
[ 86.5% - 87.0% ] 86.61% | 2,180 | 38.6% |
[ 87.0% - 87.5% ] 87.40% | 262 | 8.9% |
[ 89.0% - 89.5% ] 89.03% | 629 | 20.8% |
[ 91.5% - 92.0% ] 91.65% | 1,965 | 40.5% |
[ 93.0% - 93.5% ] 93.45% | 473 | 19.4% |