% Generated by code/make_tables.py from data/amount\_dist.csv, projects\_per\_issuer.csv, data/stats.json, results/grounding/amount\_tail.json. Do not edit by hand.
\begin{table}[H]
\centering\small
\caption{Distribution of the largest disclosed amount per project and of projects per issuer}\label{tab:amounts}
\begin{threeparttable}
\begin{tabular}{lrrrrrr}
\toprule
 & P10 & P25 & Median & P75 & P90 & P99 \\
\midrule
Largest amount cited per project{,} M USD ($N$ = 56{{,}}500) & 3.2 & 23 & 128.5 & 500 & 1{,}503 & 12{,}501 \\
Projects per issuer ($N$ = 2{{,}}492) & 12 & 24 & 42 & 67 & 94 & 140 \\
\bottomrule
\end{tabular}
\begin{tablenotes}\footnotesize
\item Amounts are the largest USD figure cited across the mentions of a project; they mix transaction values, budgets, contract values, financing facilities and estimates, and are never summed in the text. The maximum is 1{,}000~B USD (one mention, number found in the section text, no currency token nearby); 161 mentions in 104 projects cite 50~B USD or more, of which 155 have the number in the text and 144 a currency token within 40 characters; 584 mentions carry an amount of exactly zero (with \texttt{amount\_raw} NULL) and 24 a negative amount. 259 projects have a non-positive maximum amount; none of these values has been corrected (author decision pending). Projects per issuer are counted under the current resolution key, whose choice moves the total by a factor of ten (Table~\ref{tab:spec_curve}). Quantiles are exact order statistics of the stored tables; no sampling uncertainty applies.
\end{tablenotes}
\end{threeparttable}
\end{table}