\begin{table}%t4
%\centering
\par
\caption {\label{tab:160chart}Differential number counts at 160 $\mu$m. $\sigma_{clustering}$ is the uncertainty taking into account clustering (see Sect.~\ref{subsection:sectclus}). }
%\centerline
 {\begin{tabular}{rrrrrrrr}
\hline\hline
\noalign{\smallskip}
$\langle S\rangle$ & $S_{\rm min}$ & $S_{\rm max}$ & d$N/{\rm d}S.S^{2.5}$ & $\sigma_{\rm poisson}$ & $\sigma_{\rm clustering}$ & $\sigma_{\rm clus.+calib.}$ & $\Omega_{\rm used}$\\
\hline
\multicolumn{3}{c}{(in mJy)} & \multicolumn{4}{c}{(in gal~Jy$^{1.5}$~sr$^{-1}$)} & deg$^2$\\
  45.747 &   40.000 &   51.493 & 16855. &  1312. &  2879. &  3519. &   3.0 \\
  58.891 &   51.493 &   66.289 & 14926. &  1243. &  2704. &  3243. &   3.0 \\
  75.813 &   66.289 &   85.336 & 13498. &  1319. &  2648. &  3104. &   3.0 \\
  97.596 &   85.336 &  109.860 & 12000. &  1407. &  2442. &  2835. &   3.0 \\
 125.640 &  109.860 &  141.420 & 10687. &   457. &   991. &  1621. &  36.2 \\
 161.740 &  141.420 &  182.060 &  7769. &   425. &   773. &  1211. &  42.9 \\
 208.210 &  182.060 &  234.370 &  7197. &   472. &   810. &  1184. &  42.9 \\
 268.040 &  234.370 &  301.710 &  5406. &   487. &   734. &   979. &  42.9 \\
 345.050 &  301.710 &  388.400 &  5397. &   585. &   843. &  1063. &  42.9 \\
 444.200 &  388.400 &  500.000 &  4759. &   662. &   891. &  1059. &  42.9 \\
 750.000 &  500.000 & 1000.000 &  6258. &   685. &  1158. &  1380. &  42.9 \\
1500.000 & 1000.000 & 2000.000 &  4632. &   989. &  1379. &  1487. &  42.9 \\
\hline
\end{tabular}}
\tablefoot {$\sigma_{clus.+calib.}$ takes into account both clustering and calibration \citep{Stansberry2007}.}
\end{table}