Crow vs Immigrants from Burma/Myanmar Unemployment Among Women with Children Under 18 years
COMPARE
Crow
Immigrants from Burma/Myanmar
Unemployment Among Women with Children Under 18 years
Unemployment Among Women with Children Under 18 years Comparison
Crow
Immigrants from Burma/Myanmar
8.2%
UNEMPLOYMENT AMONG WOMEN WITH CHILDREN UNDER 18 YEARS
0.0/ 100
METRIC RATING
340th/ 347
METRIC RANK
5.4%
UNEMPLOYMENT AMONG WOMEN WITH CHILDREN UNDER 18 YEARS
69.5/ 100
METRIC RATING
158th/ 347
METRIC RANK
Crow vs Immigrants from Burma/Myanmar Unemployment Among Women with Children Under 18 years Correlation Chart
The statistical analysis conducted on geographies consisting of 58,293,052 people shows no correlation between the proportion of Crow and unemployment rate among women with children under the age of 18 in the United States with a correlation coefficient (R) of 0.006 and weighted average of 8.2%. Similarly, the statistical analysis conducted on geographies consisting of 170,433,276 people shows a mild positive correlation between the proportion of Immigrants from Burma/Myanmar and unemployment rate among women with children under the age of 18 in the United States with a correlation coefficient (R) of 0.376 and weighted average of 5.4%, a difference of 53.6%.
Unemployment Among Women with Children Under 18 years Correlation Summary
Measurement | Crow | Immigrants from Burma/Myanmar |
Minimum | 1.9% | 0.70% |
Maximum | 60.0% | 54.8% |
Range | 58.1% | 54.1% |
Mean | 17.2% | 7.3% |
Median | 16.7% | 5.3% |
Interquartile 25% (IQ1) | 5.1% | 4.3% |
Interquartile 75% (IQ3) | 22.7% | 6.8% |
Interquartile Range (IQR) | 17.6% | 2.5% |
Standard Deviation (Sample) | 15.8% | 8.4% |
Standard Deviation (Population) | 15.4% | 8.3% |
Similar Demographics by Unemployment Among Women with Children Under 18 years
Demographics Similar to Crow by Unemployment Among Women with Children Under 18 years
In terms of unemployment among women with children under 18 years, the demographic groups most similar to Crow are Navajo (8.2%, a difference of 0.20%), Immigrants from Yemen (8.2%, a difference of 0.72%), Yakama (8.1%, a difference of 2.3%), Sioux (7.9%, a difference of 3.8%), and Apache (7.9%, a difference of 4.1%).
Demographics | Rating | Rank | Unemployment Among Women with Children Under 18 years |
Immigrants | Dominican Republic | 0.0 /100 | #333 | Tragic 7.5% |
Cheyenne | 0.0 /100 | #334 | Tragic 7.8% |
Apache | 0.0 /100 | #335 | Tragic 7.9% |
Sioux | 0.0 /100 | #336 | Tragic 7.9% |
Yakama | 0.0 /100 | #337 | Tragic 8.1% |
Immigrants | Yemen | 0.0 /100 | #338 | Tragic 8.2% |
Navajo | 0.0 /100 | #339 | Tragic 8.2% |
Crow | 0.0 /100 | #340 | Tragic 8.2% |
Tohono O'odham | 0.0 /100 | #341 | Tragic 8.9% |
Puerto Ricans | 0.0 /100 | #342 | Tragic 9.0% |
Arapaho | 0.0 /100 | #343 | Tragic 9.2% |
Inupiat | 0.0 /100 | #344 | Tragic 9.6% |
Yuman | 0.0 /100 | #345 | Tragic 9.8% |
Yup'ik | 0.0 /100 | #346 | Tragic 11.0% |
Pima | 0.0 /100 | #347 | Tragic 11.7% |
Demographics Similar to Immigrants from Burma/Myanmar by Unemployment Among Women with Children Under 18 years
In terms of unemployment among women with children under 18 years, the demographic groups most similar to Immigrants from Burma/Myanmar are German Russian (5.4%, a difference of 0.060%), South African (5.4%, a difference of 0.070%), Korean (5.4%, a difference of 0.090%), Chickasaw (5.4%, a difference of 0.090%), and Carpatho Rusyn (5.4%, a difference of 0.11%).
Demographics | Rating | Rank | Unemployment Among Women with Children Under 18 years |
Immigrants | Iran | 71.1 /100 | #151 | Good 5.4% |
Immigrants | South Eastern Asia | 71.1 /100 | #152 | Good 5.4% |
Carpatho Rusyns | 70.8 /100 | #153 | Good 5.4% |
Immigrants | Latvia | 70.8 /100 | #154 | Good 5.4% |
Koreans | 70.5 /100 | #155 | Good 5.4% |
South Africans | 70.3 /100 | #156 | Good 5.4% |
German Russians | 70.2 /100 | #157 | Good 5.4% |
Immigrants | Burma/Myanmar | 69.5 /100 | #158 | Good 5.4% |
Chickasaw | 68.4 /100 | #159 | Good 5.4% |
Afghans | 66.6 /100 | #160 | Good 5.4% |
Immigrants | Iraq | 65.9 /100 | #161 | Good 5.4% |
Immigrants | Saudi Arabia | 65.0 /100 | #162 | Good 5.4% |
Lebanese | 64.7 /100 | #163 | Good 5.4% |
Celtics | 63.0 /100 | #164 | Good 5.4% |
Tlingit-Haida | 61.9 /100 | #165 | Good 5.4% |