  We report the numerical results for the steady state income or wealth
distribution $P(m)$ and the resulting inequality measures (Gini $g$ and Kolkata
$k$ indices) in the kinetic exchange models of market dynamics. We study the
variations of $P(m)$ and of the indices $g$ and $k$ with the saving propensity
$\lambda$ of the agents, with two different kinds of trade (kinetic exchange)
dynamics. In the first case, the exchange occurs between randomly chosen pairs
of agents and in the next, one of the agents in the chosen pair is the poorest
of all and the other agent is randomly picked up from the rest of the
population (where, in the steady state, a self-organized poverty level or SOPL
appears). These studies have also been made for two different kinds of saving
behaviors. One, where each agent has the same value of $\lambda$ (constant over
time) and the other where $\lambda$ for each agent can take two values (0 and
1), changing randomly over a fraction of time $\rho(<1)$ of choosing $\lambda =
1$. We find that the inequality decreases with increasing savings ($\lambda$);
inequality indices ($g$ and $k$) decrease and SOPL increases with increasing
$\lambda$, indicating possible applications in economic policy making.
