Background: The spatial distribution of charge and magnetization in the proton and neutron are encoded in the nucleon electromagnetic form factors. The form factors are all approximated by a simple dipole function, normalized to the charge or magnetic moment of the nucleon. The differences between the proton and neutron form factors and the deviation of G n E from zero are sensitive to the difference between up-and down-quark contributions to the form factors.Purpose: Recent measurements of G n E up to 3.4 (GeV/c) 2 allow for a much more detailed examination of the form factors. The flavor-separated form factors provide information on the quark flavor dependence of the nucleon structure and test theoretical models of the form factors.Methods: We combine recent measurements of the neutron form factors with updated extractions of the proton form factors, accounting for two-photon exchange corrections and including an estimate of the uncertainties for all of the form factors to obtain a complete set of measurements up to Q 2 ≈ 4 (GeV/c) 2 . We use this to extract the up-and down-quark contributions which we compare to recent fits and calculations.Results: We find a large differences between the up-and down-quark contributions to GE and GM , implying significant flavor dependence in the charge and magnetization distributions. The rapid falloff of the ratio G p E /G p M does not appear in the individual quark form factors, but arises from a cancellation between the up-and down-quark contributions. We see indications that the down-quark contributions to the Dirac and Pauli form factors deviate from the suggested 1/Q 4 scaling behavior suggested by a previous analysis. While recent models provide a generally good qualitative description of the data, the down-quark contribution to GE/GM and F2/F1 are not reproduced by any of the models. Finally, we note that while the inclusion of recent G n M data from CLAS modifies the high-Q 2 slightly, the tension between these data and previous measurements at lower Q 2 has a more significant impact, suggesting the need for additional data in this region.