Menominee Wage/Income Gap
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Menominee
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Wage/Income Gap
Menominee Wage/Income Gap
22.7%
WAGE/INCOME GAP
99.9/ 100
METRIC RATING
67th/ 347
METRIC RANK
Menominee Wage/Income Gap Correlation Chart
The statistical analysis conducted on geographies consisting of 45,771,803 people shows a slight positive correlation between the proportion of Menominee and wage/income gap percentage in the United States with a correlation coefficient (R) of 0.053 and weighted average of 22.7%. On average, for every 1% (one percent) increase in Menominee within a typical geography, there is an increase of 0.030% in wage/income gap percentage.
It is essential to understand that the correlation between the percentage of Menominee and wage/income gap percentage does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Menominee influences an upward or downward trend in the level of wage/income gap percentage within an area, or if Menominee simply ended up residing in those areas with higher or lower levels of wage/income gap percentage due to other factors.
Demographics Similar to Menominee by Wage/Income Gap
In terms of wage/income gap, the demographic groups most similar to Menominee are Immigrants from Nigeria (22.7%, a difference of 0.0%), Indonesian (22.7%, a difference of 0.040%), Immigrants from Uzbekistan (22.7%, a difference of 0.15%), Central American Indian (22.7%, a difference of 0.17%), and Immigrants from El Salvador (22.8%, a difference of 0.31%).
| Demographics | Rating | Rank | Wage/Income Gap |
| Immigrants from Middle Africa | 100.0 /100 | #60 | Exceptional 22.4% |
| Immigrants from Fiji | 100.0 /100 | #61 | Exceptional 22.4% |
| Immigrants from Guatemala | 100.0 /100 | #62 | Exceptional 22.5% |
| Immigrants from Ecuador | 100.0 /100 | #63 | Exceptional 22.5% |
| Spanish American Indians | 100.0 /100 | #64 | Exceptional 22.5% |
| Guatemalans | 99.9 /100 | #65 | Exceptional 22.6% |
| Central American Indians | 99.9 /100 | #66 | Exceptional 22.7% |
| Menominee | 99.9 /100 | #67 | Exceptional 22.7% |
| Immigrants from Nigeria | 99.9 /100 | #68 | Exceptional 22.7% |
| Indonesians | 99.9 /100 | #69 | Exceptional 22.7% |
| Immigrants from Uzbekistan | 99.9 /100 | #70 | Exceptional 22.7% |
| Immigrants from El Salvador | 99.9 /100 | #71 | Exceptional 22.8% |
| Sub-Saharan Africans | 99.9 /100 | #72 | Exceptional 22.8% |
| Immigrants from Eastern Africa | 99.9 /100 | #73 | Exceptional 22.8% |
| Immigrants from Burma/Myanmar | 99.9 /100 | #74 | Exceptional 22.8% |
Menominee Wage/Income Gap Correlation Summary
| Measurement | Menominee Data | Wage/Income Gap Data |
| Minimum | 0.023% | 2.8% |
| Maximum | 85.2% | 70.0% |
| Range | 85.2% | 67.2% |
| Mean | 19.9% | 28.9% |
| Median | 6.4% | 26.5% |
| Interquartile 25% (IQ1) | 2.3% | 19.7% |
| Interquartile 75% (IQ3) | 13.0% | 30.9% |
| Interquartile Range (IQR) | 10.8% | 11.2% |
| Standard Deviation (Sample) | 29.4% | 16.6% |
| Standard Deviation (Population) | 28.7% | 16.2% |
Correlation Details
| Menominee Percentile | Sample Size | Wage/Income Gap |
[ 0.0% - 0.5% ] 0.023% | 45,250,659 | 21.3% |
[ 0.5% - 1.0% ] 0.57% | 288,301 | 26.5% |
[ 0.5% - 1.0% ] 1.00% | 151,079 | 29.5% |
[ 1.0% - 1.5% ] 1.39% | 27,371 | 24.8% |
[ 2.0% - 2.5% ] 2.02% | 4,656 | 18.4% |
[ 2.0% - 2.5% ] 2.29% | 1,438 | 25.7% |
[ 2.5% - 3.0% ] 2.89% | 4,365 | 30.9% |
[ 3.0% - 3.5% ] 3.19% | 3,069 | 30.2% |
[ 3.0% - 3.5% ] 3.46% | 2,165 | 19.7% |
[ 4.0% - 4.5% ] 4.22% | 521 | 65.5% |
[ 4.5% - 5.0% ] 4.62% | 130 | 4.5% |
[ 6.0% - 6.5% ] 6.41% | 234 | 48.1% |
[ 7.0% - 7.5% ] 7.08% | 593 | 49.8% |
[ 8.0% - 8.5% ] 8.04% | 1,605 | 2.8% |
[ 8.0% - 8.5% ] 8.48% | 16,657 | 32.5% |
[ 9.0% - 9.5% ] 9.28% | 2,101 | 29.2% |
[ 10.5% - 11.0% ] 10.77% | 297 | 27.5% |
[ 13.0% - 13.5% ] 13.05% | 9,212 | 25.3% |
[ 63.0% - 63.5% ] 63.14% | 1,530 | 19.4% |
[ 71.0% - 71.5% ] 71.10% | 173 | 70.0% |
[ 73.5% - 74.0% ] 73.86% | 3,053 | 6.3% |
[ 74.5% - 75.0% ] 74.87% | 1,170 | 25.0% |
[ 85.0% - 85.5% ] 85.18% | 1,424 | 30.9% |