[R-sig-ME] intra-class correlation coeff

[Metras, Raphaelle]

Hello,

I am a very beginner with R and mixed-models, so please apologize if you
think my questions are naive.

I am fitting a glmer Poisson, with one variable as random effect
(market) and 2 variables as fixed effects.
My observations are clustered markets, there are 3 markets.

When looking at the variance of the random effect, and it is close to
zero (0.07484).

I would like to know if it is possible to extract the intra-class
correlation coefficient somehow, or if knowing the between market
variance (0.07484) is enough to say that there is almost no clustering.

Thank you very much, I copy the ouput below:

Generalized linear mixed model fit by the Laplace approximation 
Formula: clear_bsk ~ dist_mkt + same_trader + offset(log(no_bsk)) + (1 |
market) 
   Data: essai 
  AIC   BIC logLik deviance
 55.9 63.39 -23.95    47.91
Random effects:
 Groups Name        Variance Std.Dev.
 market (Intercept) 0.07484  0.27357 
Number of obs: 48, groups: market, 3

Fixed effects:
             Estimate Std. Error z value Pr(>|z|)    
(Intercept)  -1.34246    0.32716  -4.103 4.07e-05 ***
dist_mkt     -0.02948    0.01380  -2.137 0.032639 *  
same_traderY  0.99278    0.27366   3.628 0.000286 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Correlation of Fixed Effects:
            (Intr) dst_mk
dist_mkt    -0.546       
same_tradrY -0.656  0.282