US Income - Distribution

Distribution

See also: Income inequality in the United States
  • Family Income
  • Before-tax U.S. family income distribution 1989–2004 (mean)

  • Before-tax U.S. family income distribution 1989–2004 (median)

  • U.S. income distribution 1947–2007

  • U.S. income distribution 1967–2003

  • Percent change in family gross income
  • Change in mean before-tax U.S. family income (1989–2004)

  • Change in median before-tax U.S. family income (1989–2004)

Percentiles of net worth
1989 1992 1995 1998 2001 2004
90–100 205.1 158.5 172.8 206.3 272.7 256.2
75–89.9 74.6 67.0 65.0 78.3 83.7 87.9
50–74.9 52.9 48.1 50.1 54.3 62.7 60.6
25–49.9 36.9 36.4 38.6 39.3 42.1 42.2
0–24.9 21.5 22.9 22.9 23.6 25.6 25.1
Percentiles of gross (pre-tax) income
1989 1992 1995 1998 2001 2004
90–100 114.7 106.6 99.1 102.4 134.7 143.8
75–89.9 61.2 56.7 52.6 65.8 74.1 77.0
50–74.9 46.3 43.2 43.6 47.0 54.4 52.4
25–49.9 32.3 32.2 35.3 35.3 37.2 37.0
0–24.9 15.3 17.2 17.8 18.5 21.0 20.5

Read more about this topic:  US Income

Other articles related to "distribution":

Markov Chains - Steady-state Analysis and Limiting Distributions - Steady-state Analysis and The Time-inhomogeneous Markov Chain
... not necessarily be time-homogeneous to have an equilibrium distribution ... If there is a probability distribution over states such that for every state j and every time n then is an equilibrium distribution of the Markov chain ... each is efficient for a particular kind of mixing, but each matrix respects a shared equilibrium distribution ...
Convergence Of Random Variables - Convergence in Distribution - Properties
... Since F(a) = Pr(X ≤ a), the convergence in distribution means that the probability for Xn to be in a given range is approximately equal to the probability that the ... In general, convergence in distribution does not imply that the sequence of corresponding probability density functions will also converge ... These random variables converge in distribution to a uniform U(0, 1), whereas their densities do not converge at all ...
Hidden Markov Model - Types
... processes where the states emit the observations according to some probability distribution ... One such example of distribution is Gaussian distribution, in such a Hidden Markov Model the states output is represented by a Gaussian distribution ...

Famous quotes containing the word distribution:

    There is the illusion of time, which is very deep; who has disposed of it? Mor come to the conviction that what seems the succession of thought is only the distribution of wholes into causal series.
    Ralph Waldo Emerson (1803–1882)

    In this distribution of functions, the scholar is the delegated intellect. In the right state, he is, Man Thinking. In the degenerate state, when the victim of society, he tends to become a mere thinker, or, still worse, the parrot of other men’s thinking.
    Ralph Waldo Emerson (1803–1882)

    My topic for Army reunions ... this summer: How to prepare for war in time of peace. Not by fortifications, by navies, or by standing armies. But by policies which will add to the happiness and the comfort of all our people and which will tend to the distribution of intelligence [and] wealth equally among all. Our strength is a contented and intelligent community.
    Rutherford Birchard Hayes (1822–1893)