  For general (1+1)-affine Markov processes, we prove the ergodicity and
exponential ergodicity in total variation distances. Our methods follow the
arguments of ergodic properties for L\'{e}vy-driven OU-processes and a coupling
of CBI-processes constructed by stochastic equations driven by time-space
noises. Then the strong Feller property is considered.
